Iwona Bubak

Title- Macroalgal defense against competitors and herbivores

Speaker Abstract

Macroalgae are the source of many harmful allelopathic compounds, which are synthesized as a defense strategy against competitors and herbivores. Therefore, it can be predicted that certain species reduce aquaculture performance. Herein, the allelopathic ability of 123 different taxa of green, red, and brown algae have been summarized based on literature reports. Research on macroalgae and their allelopathic effects on other animal organisms was conducted primarily in Australia, Mexico, and the United States. Nevertheless, there are also several scientific reports in this field from South America and Asia; the study areas in the latter continents coincide with areas where aquaculture is highly developed and widely practiced. Therefore, the allelopathic activity of macroalgae on coexisting animals is an issue that is worth careful investigation. In this work, we characterize the distribution of allelopathic macroalgae and compare them with aquaculture locations, describe the methods for the study of macroalgal allelopathy, present the taxonomic position of allelopathic macroalgae and their impact on coexisting aquatic competitors (Cnidaria) and herbivores (Annelida, Echinodermata, Arthropoda, Mollusca, and Chordata), and compile information on allelopathic compounds produced by different macroalgae species. To recognize the allelopathy impact of macroalgae on coexisting animals, many investigation methods are necessary, from field observation to co-culturing experiments in mesocosms. Most studies on the allelopathic activity of macroalgae on target aquatic animals are characterized by a specific method suited to test those organisms and environment. The allelopathic activity of macroalgae can change according to the taxonomic position of the donor and target organisms, as well as their habitat. This work gathers the current knowledge on the phenomenon of macroalgal allelopathy and their allelochemicals affecting aquatic animal (competitors and predators) worldwide and it provides future research directions for this topic.

Speaker Biography

I. Bubak is an employee of the Institute of Geography at the University of Gdańsk. However, she is a marine biologist by training. Since the beginning of her scientific career her research interests have been focused on algae, in particular on diatoms. Her main topic was to describe and distinguish specific diatom communities characteristic for ecologically diverse water bodies (mainly lakes), and then to use them to reconstruct the development of lakes during the Holocene, taking into account the record of climate change. Research on diatoms turned her attention to other groups of algae. Therefore, her next research problem is, to determine how algae, especially phytoplankton, evolve today. Do they adapt to changing environmental conditions or do they succumb to pressure? How do they respond to changes, whether they are caused by human activity or natural processes? Is their role in the ecosystem changing? Are their impacts on other species changing?

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Laura Donkers

Title- Revitalising embodied community knowledges as leverage for climate change engagement

Speaker Abstract

Human survival is threatened by climate breakdown and ecological collapse. This levies huge responsibility on society to address how present modes of living have created this threat. Yet the scale of these crises and lack of wisdom to act can be overwhelming, so how will citizens become more informed and motivated to act? This paper proposes that cultivating communities of practice (Wenger) around low carbon citizenship can help generate discrete engagement strategies that rouse public attention towards changing attitudes and behaviours. Affective engagements are relatable, values-oriented and framed towards the priorities, knowledges, capacities, and lived experiences of participants. Such an approach is explored in the case study, Grow Your Own Community, that sought to engage marginalised communities with decarbonisation activities through the strategic repositioning of their embodied community knowledge (ECK). This community of practice helped to motivate and mobilise local participation by integrating Carbon Literacy with the situated, practical capacities that already lay within the community. Key findings reveal that revitalising a community’s existing body of knowledge to engage people with climate change knowledge creates the conditions for generating community-led mitigative action.

Speaker Biography

Laura Donkers is an ecological artist and researcher specialising in changing perceptions of climate change through creativity and co-production. She holds a BFA Hons in Fine Art, MFA in Art, Society, Publics, and PhD in Contemporary Art Practice. Laura Donkers Practice-led PhD research was carried out at University of Dundee and awarded AHRC Creative Economies studentship. She has received several awards to develop research opportunities in Aotearoa New Zealand. She successfully delivered a series of the Scottish Government’s Climate Challenge Fund decarbonisation projects that encouraged local food production and waste reduction. These projects integrated local traditional knowledge on growing food with methods of delivery that reflected embodied societal structures. New ground was created in terms of how the community influenced project development promoting a new vision for co-created community working practices, leading to improved climate change engagement at all levels of local society – schools, local community groups, local organisations, businesses.

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Jinchun Xue

Title- Study on physicochemical properties of high-density sludge sediment in copper mine after phytoremediation

Speaker Abstract

When the High-density Sludge (HDS) process is adopted to treat copper mine wastewater, a large amount of sediment is generated. Sediment can be used as the guest soil after fertilization and restoration, which plays a role in the ecological reclamation of mines. To explore the effect of different phytoremediation approaches on the physicochemical properties of HDS sediment, the untreated sediment was employed as the control group, whereas sediments repaired by six kinds of plants, including slash pine (Pinus elliottii Engelmann), Chinese white poplar (Populus tomentosa Carr.), black locust (Robinia pseudoacacia), Photinia × fraseri, Ligustrum quihoui and Ligustrum japonicum Thunb, were selected as the test groups. Then, the water content, pH, organic matter, total nitrogen, total phosphorus, total potassium, available phosphorus, and available potassium contents in the sediment samples were analyzed. The results showed that, among the six experimental groups, L. japonicum group achieved the most significant effects on sediment pH and total nitrogen content. Meanwhile, the slash pine group improved the sediment organic matter content, available phosphorus content and available potassium content to the greatest extent. The black locust group had the most significant effects on the sediment total phosphorus content. As discovered from the grey correlation analysis results, slash pine has the best comprehensive effect of improving the physicochemical properties of sediment among the six plants, followed by black locust, Photinia × fraseri, Chinese white poplar, Ligustrum quihoui and Ligustrum japonicum Thunb.

Speaker Biography

Xue Jinchun, from Ganzhou, China, is a professor of safety engineering at the School of Energy and Mechanical Engineering, Jiangxi University of Science and Technology. He graduated from Southern Institute of Metallurgy in July 1992 with a bachelor's degree in mining engineering, a master's degree in mining engineering from Southern Institute of Metallurgy in 2003, and a doctorate in safety technology and engineering from Central South University in 2012. Mainly engaged in research on rock dynamics, mine slope stability and mine ecological restoration.

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Guo Shaofeng

Title- A preliminary study on the Earth’s evolution and condensation

Speaker Abstract

Through many field geology observations, the authors find that sandstone and carbonate rocks, which were originally thought to be sedimentary, have magmatic characteristics and should classified as magmatic rather than sedimentary rocks. Combining this information with the principles of Bowen’s reaction series, the authors infer that the Earth has evolved gradually from high temperature to low temperature and, through crystallization differentiation, has experienced the following stages: high melting point metal to ultramafic rock to mafic rock to neutral rock to acidic rock to sandstone to carbonate rock to mudstone to ice. Since fossils that preserve the remains of creatures, such as fossil fish, occur in magmatic rocks rather than sedimentary rocks, the organisms were not aquatic but lived in high-temperature fluids with magmatic characteristics. Therefore, the authors conclude that during the evolution of rocks from high temperature to low temperature, biological evolution from high temperature to low temperature also occurred on the Earth and that carbon-based life did not originate in the ocean but in high-temperature carbon-containing fluids; this is a subversive statement. This understanding contradicts the original interpretation, that is, that fossils formed under normal temperature and pressure conditions. This point explains the Cambrian explosion and later mass extinctions. Therefore, the extinctions of organisms may be results of the Earth's constant cooling. With decreasing temperature, the conclusion is that the Earth will become unsuitable for human habitation. This time span will be much shorter than the 4.5 billion years estimated by astronomers. Therefore, people all over the world should reduce military conflicts, enhance studies of human living environments and explore the future of humanity.

Speaker Biography

Guo Shaofeng, male, born in June 1970, Ph.D., professor-level senior engineer, graduated from China University of Geosciences (Beijing), majoring in mineralogy, petrology and mineral deposits, mainly engaged in mineral exploration and regional structural research. During his postdoctoral research from 2010 to 2012, he found that iron ore, which was originally believed to be the cause of sedimentation, was essentially hydrothermal cause, and took this as an enlightenment idea, and in the following research work, he put forward unique insights in the evolution of the earth, biological evolution and climate change. He has published more than 10 papers and two monographs, and has won the second prize of the Ministry of Natural Resources for Scientific and Technological Progress and the second prize of the Prospecting Achievement Award of Hebei Provincial Bureau of Geology and Mineral Resources.

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Fengxia Li

Title- Influence of different phytoremediation on soil microbial diversity and community composition in saline-alkaline land

Speaker Abstract

Soil salinization is one main environmental factor restricting plant growth and agricultural prod-uctivity. However, phytoremediation is one of the important means to improve saline-alkali soil by planting halophytes or salt-tolerant plants. In order to study whether there are differences among soil microorganisms in different phytoremediation, the effects of four plants, including alfalfa (MX), oil sunflower (YK), maize (YM) and ryegrass (HMC) on soil physicochemical properties, enzyme activity and microbial community diversity and composition were investigated using 16S rRNA bacterial and ITS fungal gene-based method and others methods in this study and the relationships between microbial community structure and soil physicochemical properties, enzyme activity were analyzed. The results showed that all plants treatments significantly decreased pH, TS (total saltinity) and BD (bulk density), while increased OM (organic matter), TN (total nitrogen), AN (available nitrogen), TP (total phosphorus), AP (available phosphorus), TK (total potassium) and TPOR (total porosity), and the number of nitrite bacteria reduced by planting at the same time. Except for YM, other treatments significantly increased the number of nitrifying and denitrifying bacteria compared with CK, while only YK increased that of fungi. dditionally, all plants increased the activity of nitrite reductase and decreased that of urease. More interestingly, plants treatments shifted microbial community compositions, and only YM significantly decreased the bacterial diversity and increased the fungal diversity. edundancy analysis suggested that TK, pH, BD, TS, AN, OM and nitrite reductase, lignin peroxidase were the key environmental factors that shaped the bacterial community structure, while that of fungi was mainly driven by OM, nitrite reductase, urease and lignin peroxidase. The results indicated that MX and YM are the best choice for remediation of saline-alkali soil. These data can provide certain theoretical basis for the further restoration of saline-alkali land.

Speaker Biography

Fengxia Li, Female, Dr. , Researcher, works in the Institute of agricultural resources and environment of Ningxia Academy of agricultural and Forestry Sciences. She mainly engaged in the research on soil improvement and utilization of saline alkali land, soil microbial processes and functions. She visited the Grassland Research Center of the Academy of Agricultural Sciences of New Zealand for one year from October 2013 to October 2014, did research on "the impact of global climate change on grassland ecology and the functional genes of microorganisms involved in nitrogen cycle ". In recent years, She has presided over 15 projects including two National Natural Science Foundation project of China, Ningxia Natural Science Foundation project, the key research and development project of Ningxia Hui Autonomous Region, the the Ningxia returned overseas students' innovation team project, etc. She won three third prizes for scientific and technological progress of the autonomous region, 10 patents were authorized, more than 30 articles were published. She wrote one book and edited four books with colleagues.

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Shinichi Warisawa

Title- Research on lighting systems that realize multiple light environments in a single space

Speaker Abstract

Improvement of indoor environments has attracted attention from various aspects such as health and economy. In this study, we focus on the lighting environment in which it is difficult to provide a good lighting environment for individual in a single space with multiple people. In this study, we developed a method to realize multiple independent lighting environments simultaneously in a single space as shown in Fig.1. We applied time-division light multiplexing as a method of transmitting multiple lights in a single space, and synchronously controlled the light source and the shutter device that blocks the light to present lighting as a high-speed blinking light that is imperceptible to humans. Experiments were conducted using the developed system. A "multiple lighting environment" was realized by using a time-division system combining a shutter device and a light source. It was confirmed that the developed system could deliver multiple lighting conditions independent of each other. It was found that he application of the system removes the potential inhibition of lighting manipulation behavior caused by sharing the lighting environment with others, and facilitates the setting of the desired lighting environment by each individual in the same space.

Speaker Biography

SHIN’ICHI WARISAWA is a professor at the Department of Frontier Sciences at the Univ. of Tokyo. From 1994 to 2000, he served as an Assistant Prof. of Tokyo Institute of Technology. Since 2000 he has been working at the University of Tokyo. He was a visiting researcher at Massachusetts Institute of Technology from 2010 to 2011, and a visiting professor at Université Jean Monnet in 2016. His current research focuses on wearable/ambient human health monitoring. Research cores are nano/micro sensing devices fabrication and sensing information technology application for human well-being.

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Talasila Bhavani Chowdary

Title- Design and analysis of lightweight Alkali-Activated slag and fly ash geopolymer mortars using ANFIS-SSO

Speaker Abstract

In recent years, the geopolymer will considerably replace the role of cement in the construction feld. Generally, geopolymers have advantageous characteristics such as minimal shrinkage, minimal creep, and high compressive strength, respectively. In the literature, some of the geopolymer-based concrete is designed which attains low compressive strength and inadequate compressive strength computation. Hence, in this research paper, lightweight geopolymer mortar with base material for the based concrete mix is designed. The base material is considered as fy ash (FA) and alkali-activated slag (AAFS). The main components of lightweight geopolymer mortar are insubstantial burnish aggregate and AAFS binder or alkali-activated FA. The mixed concrete design compressive strength is computed with the Artifcial Intelligence (AI) technique. Here, Adaptive Neuro-Fuzzy Inference Controller (ANFIS) with Salp Swarm Optimization (SSO) is utilized to compute the urging force of the concrete mix. SSO is used to compute the optimal learning rate to fnd out the urging force of the concrete. The preliminary parameter’s potential was inspected with the relations of variant urging force in insubstantial geopolymer mortar. The performance is evaluated by changing the temperature and binder content. The proposed method with an intended concrete mix result illustrates the performance. The proposed method is compared with existing methods of Artifcial Neural Network (ANN).

Speaker Biography

Talasila Bhavani chowdary is graduated in 2013 from JNTU Kakinada. She completed her post graduation from Acharaya Nagarjuna University in the year 2015. She is a Research Scholar,Koneru lakshmaiah Education Foundation, Department of Civil, and also currently working as Assistant Professor, Vardhaman College of Engineering, Department of Civil, Hyderabad. Her areas of interest include materials and Earthquake Resistant Design of Structures, Fracture Mechanics.

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Bowen Banda

Title- Legal and policy frameworks to harmonize and mainstream climate and disaster resilience options into municipality integrated development plans: A case of Zambia

Speaker Abstract

Climate change adaptation, mitigation (CCA-M), and climate related disaster risk reduction (DRR) have more synergies than discords that needs harnessing. Municipalities are considered best equipped arms of governments globally to harmonize and mainstream these two parallel interventions into development practice but equally requires, harmonized legal, policy and other enablers to effectively achieve this goal. Using summative content analysis and the exclusive use of secondary data, this paper reviews the extent to which the Zambian government in the global south has tried to undertake three major changes. a). to harmonise newly formulated legislation, policy frameworks and strategies post year 2015, that relate to CCA-M, DRR and decentralised municipality Integrated Development Plans (IDPs). b). to help streamline CCA-M and climate related DRR conceptually, and in practice. c). further promote the mainstreaming of these two harmonized concepts and practices into municipality development planning through the revised legal, policy frameworks and enablers. There is little activity: to harmonise legislation at national level and policy frameworks that relate to CCA-M, DRR and municipality IDP; to encourage conceptual harmonization of CCA-M and DRR at practice level; to further encourage the mainstreaming of these two concepts in unison or as individual themes into municipality IDPs. There is however good political will and international donor support for the mainstreaming agenda in general for CCA-M as singular themes into the public sectors but not so much about harmonisation with DRR. There is need to scale up the legal, policy framework and enabler revision in Zambia and global south, in line with the global agenda 2030 and other related international / regional developmental frameworks.

Speaker Biography

Dr. Bowen Banda is an environmental scientist based in Zambia, Southern Africa. He has a doctorate degree in environmental science with disaster risk science combination. His research interest are in the interface between conservation, sustainable development, climate change science, disaster risk science and urban & regional planning. He currently works in climate justice with the World Wide Fund for Nature in Zambia as Climate Adaptation Specialist and Advisor. Prior to this, he worked in a quasi government organization in conservation and livelihoods security, and then with United Nations World Food Programme and other internationally donor, supported projects by OCHA, UNHCR, World Bank, USAID, EU, Sida, Norad, Grand Challenges Canada, DFID, WVI Australia Support Office. He noticed that it was easier to work at provincial, national and international level but difficult at district level. Hence his new research interests in climate change and disaster risk reduction at local government level.

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Chongtham Sanjita Devi

Title- Soil respiration in the sacred groves of Manipur, North-East Indi

Speaker Abstract

About 10% 0f 2700 GT of C in the soil is respired to the atmosphere. It may increase with higher temperatures to a certain extent because of microbial action. Small scale changes in the soil respiration rate might have feedback on the carbon sequestration potential of the soil and indirectly on the biomass. It is also highlighted that abiotic factors are the drivers of the seasonality trend of soil respiration. In this study, an automatic chamber of Q- box was used to measure the spatial and temporal variation of soil respiration in different sacred groves of Manipur which lie at low latitude. They have been preserving for a long time back, conserving forests, woodland, or other environmental and social structure. Considering the ecological role of the sacred grove, they can be considered as a mesocosm to study the soil carbon emission. In the present investigation, There was an increase in the CO2 efflux rate of the soil from moist summer to rainy season (April to August) to a maximum of 728.70 ± 19.06 to 950.97 ± 41.15 μmol m−2 min−1 and varied significantly ( F(5, 1722) = 2.92 at P > 0.05). However, maximum percentage of variability was contributed by soil temperature (r= 0.92 at P>0.01) surpassing soil moisture and other abiotic factors responsible for the seasonality trend of soil respiration rate. Interestingly, it was observed that the litter biomass had negative correlation (-0.84) at P>0.005) with the soil C emission. Therefore, forest floors will remain intact and carbon from the decomposition of the biomass and litter might be sequestered in the soil layers. Further studies on temperature sensibility and rate-limiting factors of soil respiration in subtropical forest ecosystems are encouraged to enhance our understanding of the source-sink mechanism.

Speaker Biography

Dr. Chongtham Sanjita from Manipur University, Imphal, India. I have a passion for researching ecological findings and ecosystem services. I have expertise in the field of plant biodiversity in local and regional climate, nutrient cycle, carbon sequestration, litter dynamics and soil study of the region. Currently, I am in the process of visualising the ecological concept and research findings related to the ecosystem services in digital mode in favour of the students of the remote areas pursuing degree courses apart from imparting knowledge.

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Imene Abidi

Title- Characterization of dredged sediments of Bouhanifia dam, Algeria, for the potential use in road construction

Speaker Abstract

Dam silting has become a common problem due to the deleterious aspects that it generates, such as reducing both water quality (during turbid hydrodynamic events) and storage capacity of the reservoir. Various approaches of dam desilting have been undertaken to deal with this issue; however, the problem is far from being solved due to millions of cubic metres of sediments that are being trapped and not bypassing towards downstream, which results in coastal erosion increment. This is particularly the case of the Bouhanifa dam in Algeria. So far, several geotechnical studies have been carried out aiming at evaluating this problem. The main objective of the current research study is the characterization of the dredged sediments of this dam for potential use as raw material to be harnessed for the construction industry. The valorisation of the dam dredged sediments might include the mechanical stabilization in road construction, which reduces the excavation of natural qualified materials. The feasibility of using different fractions (5%, 10%, and 20%) of Bouhanifa dam dredged sediments as an admixture to the calcareous tuff which is a natural material usually applied in roads construction in Algeria is studied herein. A rough prediction of the long-term mechanical behaviour of the sediments and tuf is reported based on their physical, chemical, and mineralogical characteristics and short-term mechanical performance tests. The current study suggests the feasible use of tuff admixed sediments as embankment or subgrade materials; however, the long-term mechanical behaviour investigation of these materials is essential, and their mechanical stabilization is recommended to enhance their geomechanical behaviour as it is expected from the sediments to present lower strength when compared with the tuff.

Speaker Biography

Ms Imene Abidi is a PhD student at the University of Sciences and technology of Oran Mohamed Boudiaf (USTOMB) in Algeria and at the University of Sapienza in Italy, her research interests focus on hydraulics, environmental engineering, geotechnical and structural engineering. Ms Abidi has participated in several exchange programs such as Erasmus + exchange mobility at the University of Padova in Italy during her master studies, the University of Coimbra in Portugal and the University of Sapienza in Italy during her PhD studies. In addition, Imene has been a part of other prestigious educational programs, such as the Algerian Model United Nations (AMUN) and the first Algerian National Seminar about Eco-Materials and the Conception of Eco-structures (SNEMCES’21). Imene has published her first scientific paper about the potential use of dam dredged sediments in the civil engineering field, specifically for the construction of roads.

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Walter Mauricio Salazar Guerra

Title- Interocurrence times and seismic hazard for upper-crustal volcanic chain earthquakes in El Salvador: Are they poissonian distributed ?

Speaker Abstract

We study the statistical properties of time intervals between successive earthquakes for a given magnitude in the El Salvador volcanic chain, namely hereafter the interoccurrence times employing both the cumulative Poisson and the Weibull probability distributions. The dataset comprises magnitudes between M 4.0 and 6.93 within the years 1528–2018. We suggest that ITs pose the Weibull distribution for all events and that the Poisson distribution co-exists for ITs longer than the Weibull mean. Based on the probabilities distribution fit, we compute for engineering purposes ground motion and elastic response spectra for 5% damping employing time-dependent and independent seismic hazard models at San Salvador city, observing covariance of less than 7% amongst the models. The disaggregation analysis suggests that a magnitude 6.3 contributes most to the hazard and coincides with the magnitude bin of 6.25–6.50, which has the maximum conditional probability in the time-dependent model (after Salazar, W. 2021).

Speaker Biography

Dr. Walter Salazar is a structural civil engineer who obtain a doctoral degree in Engineering Seismology from the Interdisciplinary Graduate School of Science and Engineering, Tokyo Institute of Technology, Japan, in 2004. Dr. Salazar has been active in site-effects and seismic hazard research, producing several peer-reviewed maps for El Salvador, Jamaica, and the Eastern Caribbean. He has published sixty articles in peer-reviewed journals, books, and international conferences. In 2011, he received a Distinguished Salvadoran National Award. He is a peer reviewer for several scientific journals. Dr. Salazar is a Professor of Structural Engineering at the Catholic University of El Salvador.

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Evaldo Costa

Title- The electric vehicle and renewable energy: Changes in boundary conditions that enhance business model innovations

Speaker Abstract

Business model innovation consists of new ways of defining, creating, and capturing value including non-monetary value, and is an indicator of crossing traditional sector boundaries, thereby providing the necessary agency to achieve significant new market opportunities around technological innovation. Individual businesses may lack the scope or depth of competencies required, especially in the case of entrenched industrial structures, framings, regulatory provision, and consumer attitudes. Business models are thus potentially ossified within highly structured socio-technical systems. This article analyses innovation in business models arising from the confluence of two mature and stable industries under conditions of external pressure, deregulation, privatization, and the emergence of a new, shared interest. We illustrate the paper with examples of vehicle manufacturers developing business concepts for vehicle-to-grid, domestic energy, second life, and industrial electricity provision from renewable energy. We find that in the period 2012 to 2020, 17 vehicle manufacturers used 38 electric models to test a diverse menu of options established from four applications with changes in boundary conditions that have influenced business model innovation. This process created space for energy policy and mobility policy to become increasingly intertwined as battery electric vehicles enter the mass market, raising questions over the future of automobility as well as electricity generation and distribution.

Speaker Biography

Evaldo Costa is an interdisciplinary researcher. He has experience in Environmental Sciences and Environmental Engineering. His background includes a Ph.D. in Climate Change and Sustainable Development Policies from NOVA University of Lisbon, Portugal, and a Ph.D. in Business Economics at Vrije Universiteit Brussel, Brussels, Belgium. His research focuses on sustainable transition pathways. He has been exploring various theories and mobilized a wide range of methods and techniques, and tools covering quantitative, qualitative studies. He has relevant international experience in research; publishing articles in top/peer-reviewed journals; experiencing presentations at international conferences. He has acted as a reviewer for top/indexed journals, become a member of a Ph.D. supervisory board, and keeps a wide and active international relationship network. Before shifting his career to the research field, he worked several years as a university professor, and as an international industry consultant. He hopes contributing to a more sustainable and a better world.

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Lorenzo Massimi

Title- An innovative method to assess oxidative stress induced by particulate matter using a plant model organism

Speaker Abstract

It is now recognized that one of the main mechanisms by which particulate matter (PM) exerts its adverse health effects is the generation of oxidative stress. Therefore, several acellular assays, which can be performed quickly and at a relatively low cost, have been developed to measure the oxidative potential (OP) of PM. However, these assays cannot represent the complexity of a biological organism and cannot provide complete information on the toxicological potential of PM. The use of model organisms could provide more detailed information about the ability of PM to generate oxidative stress in living organisms. This study is aimed to develop and optimize a simple, rapid, and low-cost method to study the oxidative stress induced by PM exposure using the plant model organism Arabidopsis thaliana. Plantlets of A. thaliana were exposed to certified urban dust (NIST1648a) and to the dust detached from PM samples collected in Rome and in the Po Valley (Italy) and analysed for oxidative potential by applying the AA, DCFH and DTT acellular assays, and for organic and elemental carbon, ions, levoglucosan, macro- and micro-elements. Oxidative stress was evaluated in the exposed plantlets by quantifying the production of superoxide anion (O2-•) using the NBT assay which is based on the highly specific reaction that occurs between NBT and O2-•, which leads to the formation of a blue-violet precipitate named formazan measured by UV-Vis spectrophotometer. The results obtained confirmed the reliability of DTT assay in predicting ROS generation in biological organisms and the suitability of A. thaliana as model organism for bio-indicator studies on PM effects on living organisms. Through the application of this method, it is possible to obtain information on the ability of PM to generate oxidative stress in living organisms quickly and keeping costs relatively low.

Speaker Biography

Lorenzo Massimi, PhD in Environmental and Evolutionary Biology, is currently Researcher and Professor of Environmental Chemistry (CHIM/12) and of Botany and Plant Diversity (BIO/01) at the Department of Environmental Biology of Sapienza University of Rome. He has a consolidated experience in elemental analysis of complex environmental matrices and in sampling, processing and chemical characterization of environmental, biological and food samples. In 2016 he carried out research activities at the GTS of Autonomous University of Barcelona, in 2018 he was a Visiting Researcher at IRAS of Utrecht University, in 2020 he was a Post-doc Researcher in Analytical Chemistry (CHIM/01) at the Department of Chemistry of Sapienza University of Rome. In 2020, he was also a Visiting Professor at the Department of Chemistry of University of Chile. In 2021, he was Post-doc Researcher in Environmental Chemistry (CHIM/12) at the Department of Environmental Biology of Sapienza University of Rome.

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Alexander Lutikov

Title- Strong deep focus earthquake on August 19, 2018 (Mw=8.2) west ofTonga Islands

Speaker Abstract

One of the strongest deep earthquakes on August 19, 2018, MW = 8.2, h = 600 km, near the Tonga Islands is considered. Its feature is the presence of a powerful aftershock sequence, which is generally uncharacteristic of deep earthquakes and allows us to consider it as a unique seismic event. Based on the first day aftershocks, its three-dimensional geometric model of the source was obtained, the seismic history and features of the aftershock process were studied. It is shown that the source of the earthquake on August 18, 2018 belongs to the NDC type. The duration of the aftershock process and the value of the scalar seismic moment released in aftershocks were estimated. Some characteristics of the August 19, 2018 earthquake were compared with those of the strong deep Sea of Okhotsk earthquake of May 24, 2013, MW = 8.3 off the western coast of Kamchatka. The main results of the work can be summarized as follows. 1. It is shown that the source of the strong deep earthquake of August 19, 2018, MW = 8.2 near the Tonga Islands has a shape close to isometric with upper estimates of its dimensions in the directions of 155 km (N–S), 126 km (E–W), 130 km (z). Similar estimates of the shape and size of the source were also obtained for the deep Sea of Okhotsk earthquake on May 24, 2013, МW = 8.3. At the same time, judging by the aftershock fields of the first day, the linear dimensions of the sources of these earthquakes are approximately two times smaller than the linear dimensions of crustal earthquakes with the same magnitudes. 2. The focal mechanisms of the earthquakes of August 19, 2018, МW = 8.2, h = 600 km and the earthquake in the Sea of Okhotsk of May 24, 2013, МW = 8.3, h = 611 km are guaranteed belong to the NDC-type sources; the source of the earthquake of 2018 off Tonga islands can be classified as a normal fault which characterizes the conditions of uniaxial extension. At the same time, the source of the Sea of Okhotsk earthquake of 2013 belongs to the thrust type and characterizes the conditions of uniaxial compression. 3. The consideration of the available seismic history in the presumed preparation region of the deep earthquake of August 19, 2018, МW = 8.2 near the Tonga Islands showed that its preparation period probably noticeably exceeds 100 years. 4. The duration of the aftershock process can be estimated at about 8 months, and the value of the scalar seismic moment released in aftershocks was estimated as M0 ≈ 9.85∙1019 N∙m that is of about 3.9% of the Main Shock’s scalar seismic moment. The aftershock process of the earthquake in the Sea of Okhotsk of May 24, 2013, МW = 8.3, is estimated to have lasted for about 10.5 months, which is comparable to the duration of the aftershock process of the Tonga Islands earthquake.

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Ajay Pratap Singh Gahlo

Title- Gas sensing application of nanostructured metal oxide semiconductor-Polypyrrole nanocomposites

Speaker Abstract

Aim of present work is design of gas sensing devices which are based on the nanocomposite of the two metal oxide semiconductors (ZnO and SnO2) and the Polypyrrole conducting polymer, using Surface Plasmon Resonance (SPR) Technique. Metal oxides are excellent choices as base materials in emerging technologies in the field of Gas Sensors. Gas sensing response characteristics of the prepared sensor were performed. Optical technique is preferred over electrical techniques for analyzing the dielectric properties and out of all techniques, Surface Plasmon Resonance (SPR) is most suitable. The theoretical simulations were done to find out the optimum thickness of ZnO and Polypyrrole composite films for sharp SPR reflectance values. Experimental studies were done to validate the theoretical studies and discussion were done about the interaction of NH3 gas with prism/Au/ZnO/Polypyrrole system. Tin oxide (SnO2), a versatile metal oxide due to its wide range of applications and its nature as an amphoteric oxide, has attracted researchers globally for many decades. The gas sensing layer in the SnO2/Polypyrrole nanocomposite multilayer structure system is used to design a sensitive and effective ammonia gas sensor device based on the phenomenon of Surface Plasmon resonance (SPR). The results obtained, highlight the usefulness of the SPR setup for the study of the Ammonia vapors interaction of the metal dielectric/Polypyrrole nanocomposite material. The outcome of these results validates the significance of SPR technique for application of interaction of surface adsorbed analytes, with the interface of dielectrics and sensing material.

Speaker Biography

Ajay Pratap Singh Gahlot received his B.Sc. Physics (Hons) from Dyal Singh College, University of Delhi and M.Sc. degree in physics from the University of Delhi, New Delhi, India. Presently, working as Associate Professor, Department of Physics, Deshbandhu College, University of Delhi. His research interests are in the area of Condensed Matter physics, High temperature Superconductivity, Perovskite Solar Cell and the Study of Nanostructures based design of devices for gas sensing application. Presently, working on SnO2/ZnO /Polypyrrole Composite Nanomaterials and its various properties and applications. He has vast experience of teaching at different colleges. He is the life member of Math Tech Thinking Foundation: Fazilka, Punjab, India, Also, an affiliate member of Royal Society of Chemistry and American Chemical Society. Have experience of organizing several national & international conferences and seminars.

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Mujifar Munshi

Title- Algorithm and data model for analysis of data to enhance online learning using graph mining techniques

Speaker Abstract

Nowadays, the online education advancement has maximized after the COVID pandemic. Hence, improving the facilities and response is much important task in the digital applications. So, several neural models have been implemented alone and in combined hybrid version. However, those approaches have increased the computation cost and complexity because of the vast unstructured data. In addition, the unstructured data contains much amount of noise features that has made difficulties during the data analysis process. Also, if too many data are entered as the same time, then data overloading has been recorded during the grade analyzing process. ENAM Preprocessing Students data Database Average Bad Good Performance Prediction Feature Analysis Fig.1 Proposed architecture Hence, the data overloading is the main cause of several issues like transmission delay, high resource usage and malicious events vulnerability. These issues have motivated this research toward on implementing the intelligent Apriori model. Hence, the present study has aimed to develop a novel Elman Neural with Apriori Mining (ENAM) to enhance the online education system by increasing the rapidity score on analyzing the student performance. Initially, the data has been pre- processed and entered to the classification module then the feature extraction and classification process has been performed. Finally, based on the present grade in the trained datasets, the student’s performance has been noted. Subsequently, the parameters of the designed model have been validated and compared with other models, the proposed architecture is described in fig.1. In addition, the model Apriori Mining has afforded the student’s performance results based on the priority of the grade submissions. This helps to avoid the data overloading and security threat. The performance parameter that has considered in this research work is Recall, F-measure, Precision, error rate and accuracy. Hence, by implementing the ENAM model in the online education system, the communication and data analysis process became enhanced with rapid accurate validation.

Speaker Biography

Working as Head of Department Government Polytechnic Ujjain India. Doctorate in Learning Analytics a renowned academician having more than 20 years of teaching, administration, industry, and research experience. Expert in Online Learning and Online examination, E Governance. Member board of studies RGPV and virtual IT cadre MP government. Having publications in national and international journals. Academic expertise in data science computer science and engineering, online learning, research methodology and physics.

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Halil Ibrahim Gunduz

Title- Why are some countries cleaner than others? New evidence from macroeconomic governance

Speaker Abstract

This study aims to investigate why some countries are cleaner than the others with reference to macroeconomic governance (MEG) in order to explain how major macroeconomic aggregates should be governed to mitigate environmental pollution at the level of economic systems. Using per capita carbon dioxide emissions (CPC) as the proxy for air pollution, and macro-non-financial governance (MNFG) and macro-financial governance (MFG) as the proxies for MEG, the study introduces the systemic and fragmented governance of green complementarities (GCMs) and dirty complementarities (DCMs) as analytic concepts to compare the MEG models for managing pollution in 13 high-income countries (HICs), 10 upper-middle-income countries (UMICs), and nine lower-middle-income countries (LMICs) for the period 1994–2014. The paper has two major points in selecting an econometric technique for the estimation of the pollution–macroeconomy nexus. The first is to estimate the long-run and short-run causal relationships between pollution and macroeconomic governance. The second point is to make a holistic analysis of the pollution–macroeconomy, as noted above. The econometric technique to cover the two points noted above is panel data cointegration that estimates, first, the long-run and short-run relationships, and second, in a multivariate setting. The paper concludes that (i) HICs reduced their CPC levels thanks to adopting green systemic governance by creating GCMs between both MNFG and MFG variables in the long run; (ii) UMICs experienced a remarkable increase in their CPC levels due to adopting dirty systemic governance by creating DCMs between the MNFG variables, but prevented pollution from being higher through creating GCMs between the MFG variables; and (iii) LMICs experienced the highest comparative increase in CPC due to adopting a fragmented governance in managing both MNFG–pollution and MFG–pollution nexus.

Speaker Biography

Halil İbrahim Gündüz have been working as a Senior Research Stuff in the Department of Econometrics at Istanbul University Faculty of Economics for more than 10 years. His primary research areas are on statistical analysis of time series data, requiring techniques in the interface between econometrics, statistics and data science.

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Huda A Almumen

Title- Technology and multimodality in teaching pre-service teachers: Fulfilling diverse learners’ needs

Speaker Abstract

The purpose of this study was to explore the impact of the use of multimodality during college level instruction. Using quantitative and qualitative methods, data were analyzed to determine the effectiveness of incorporating multimodality in teaching pre-service teachers. Results indicated the use of multimodality increased participants’ knowledge and awareness of Special Education concepts and strategies for teaching students with disabilities. Results also indicated there was a significant difference in knowledge gained by the experimental group when compared to the control group.

Speaker Biography

Huda Almumen is an Assistant Professor of Special Education at College of Education, Kuwait University. After her seven years of experience as a middle school teacher of English as a Second Language, Huda pursued her graduate studies, gaining her Master’s from College of Education, and her doctorate from University at Buffalo, State University of New York. Dr. Almumen’s research interest and expertise focus on the use of technology in teaching students with disabilities. She also has interests in future teacher preparation programs for educating and including students with Special Needs. Her goals are to help individuals with exceptionalities gain better learning opportunities, specifically with enrolling the technological tools. She is also interested in preparing future teachers on how to use these tools to enhance their teaching endeavors for all students including those with Special Needs.

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Johannes Rieger

Title- Circular economy as one solution for a future sustainable European iron and steel industry

Speaker Abstract

The steel industry is an important engine for sustainable growth, added value, and high-quality employment within the European Union. It is committed to reduce its CO2 emissions from production up to 50% by 2030 compared to 1990’s level ultimately reaching climate neutrality by 2050. This should be reached by developing and upscaling technologies required to contribute to European initiatives, such as the Circular Economy Action Plan (CEAP) and the European Green Deal (EGD). The Clean Steel Partnership (CSP, public private partnership), led by the European Steel Association (EUROFER) and the European Steel Technology Platform (ESTEP), defines technological CO2 mitigation pathways. A roadmap (Strategic Research and Innovation Agenda) has been developed, which details the pathways comprising Carbon Direct Avoidance (CDA), covering technologies to avoid emitting carbon during steelmaking, Smart Carbon Usage (SCU) meaning the ways to use the carbon from steel production for other applications, via carbon capture, utilization, and storage (CCUS) and process integration (PI), and Circular Economy (CE). The CE approaches ensure competitiveness through increased resource efficiency and sustainability. It also consists of different issues, such as the valorization of steelmaking residues (dusts, slags, sludges) for internal recycling in the steelmaking process, enhanced steel recycling (scrap use), the use of secondary carbon carriers from non-steel sectors as a reducing agent and energy source in the steelmaking process chain, and CE business models (supply chain analyses). The current presentation gives an overview of the different technological CE approaches focusing on future challenges towards the final goal of an industrial deployment.

Speaker Biography

Johannes Rieger from the Austrian metallurgical competence center K1-MET is responsible for the research areas Raw Materials & Recycling and Metallurgical Processes. These research fields focus on characterization and utilization of raw materials and residues from iron and steel industry and on process development (converter, continuous casting, electro slag remelting, copper refining). He holds a PhD in Process Technology (focus on industrial environmental Protection) from the Montanuniversitaet Leoben (Austria). He is also an active member within the ESTEP Focus Group Circular Economy.

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Francesca Thiebat

Title- Life cycle approach for the eco-design of wooden products

Speaker Abstract

The European furniture sector is dynamic and competitive, currently facing a transition to further increase the environmental sustainability and circularity of its products. Literature on this topic is relatively abundant and authors converge in the identification of the main sustainability criteria. Nevertheless, defining which sustainability criteria should be prioritised is still open to question. This is due to the high number of variables in the life cycle of furniture and also the specific characteristics of each piece of furniture. In this context, a Life Cycle Assessment (LCA)-based tool has been developed. It considers the main materials and processes typically used in the furniture sector. The tool is provided both as a model to be imported in an LCA software (for use by LCA-experts) and as a spreadsheet document (for use by non LCA-experts or for quick analyses). Both of these versions of the tool contain editable parameters that allow the model to be adapted to specific pieces of furniture. In addition, both versions have been tested using the case study of a wooden armchair conceived and produced by an Italian architectural and design firm. The tool has made it possible to quantify the environmental impacts of the armchair and the evaluation of four possible scenarios to enhance its environmental sustainability. This work can therefore guide the actors in furniture value chains as to the choice of the criteria able to maximise the furniture sustainability throughout its life cycle.

Speaker Biography

Francesca Thiébat, Associate Professor and Architect. She studied architecture at the Politecnico di Torino and the Bartlett School of architecture and planning in London. She holds a Phd in architectural Technology from Politecnico di Torino. She coordinates and collaborates on research projects in the following areas: sustainable design; services for the community (healthcare, elderly, schools, public space); sustainability evaluation methods (performance-based design, bioclimatic design, nearly Zero Energy Building, Life Cycle Assessment); product innovation and circular economy. She is Program Director of Architecture for Sustainability Master of Science at the Politecnico di Torino where she teaches Architectural Technology and Environmental Design. She is Editor Assistant of the Journal of Technology for Architecture and Environment TECHNE. Her research works has been presented at international conferences such as SETAC, DIRE, IPBC, PLEA and published in national and international journals and monographs.

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Ana Curcio

Title- Hydraulic fracturing electromagnetic monitoring: Dynamic modeling, electrical anisotropy scenarios and its relation to microseismic

Speaker Abstract

While the energy transition is real and active, the hydrocarbon sector will continue to be major energy sources for the foreseeable future. In consequence, to reduce risks in hydraulic fracturing operations and to study its interaction with geology, it is very important to monitor the evolution of the fracking. It was developed a simulation of the electromagnetic (EM) response and its joint interpretation with microseismic monitoring simulation during hydraulic fracturing in an unconventional reservoir. A multiphysics workflow is presented, using a criterion based on a breakdown pressure to generate and propagate the fracking and its associated pressure, saturation, electric field, magnetic field, electrical current and electrical resistivity maps. A second step of this study comprises the simulation of the EM response to different electrical anisotropic scenarios and transmitter to receiver configurations. The results indicate: first, the EM response might be sensitive enough to be monitored and the magnetic field correlates better with the saturation distribution than the electric field, yielding additional information to determine the stimulated reservoir volume. Second, in an anisotropic resistive scenario, the magnetic field is the most sensitive field when discriminating different types of anisotropy for all receiver positions; in both stratified and fractured medium the vertical electric field have higher total amplitudes inside the layer whereas the magnetic field in the top and inside it, and the horizontal electric field does in the top and above it; independently of the symmetry, the horizontal electric field is one order of magnitude higher than the vertical electric field above the anisotropic layer and this relation changes inside the layer. Finally, in a horizontal well hydraulically fractured, the relative percent difference of the vertical electric field is higher than the other fields, but this relation can change when moving to other geometries.

Speaker Biography

Ana Curcio simultaneously earned her degrees in physics from the faculty of exact and natural sciences; engineering and MS in geodetic-geophysical engineering from the faculty of engineering and a PhD, summa cum laude, at Buenos Aires University. Also, she is Oil and Gas production specialist (ITBA). With 15 years experienced in the energy sector, Ana specialized in multiphysics for complex geophysical exploratory problems in hydrocarbons and lithium industries, covering the entire scope of the technology spectrum. Currently she is advisor in both industries.

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Iongel Duran Llacer

Title- Map groundwater-dependent ecosystem in semi-arid environments

Speaker Abstract

Groundwater (GW) use has intensified in recent decades, threatening the ecological integrity of groundwater-dependent ecosystems (GDEs). The study of GDEs is limited; therefore, integrated, interdisciplinary environmental approaches that guarantee their monitoring and management amid current climate and anthropogenic changes are needed. A new geospatial method with an integrated and temporal approach was developed through a multicriteria approximation, taking into account expert opinion, remote sensing-GIS, and fieldwork to map groundwater-dependent ecosystem zones (GDEZ). A survey of experts (N = 26) was conducted to assign degrees of importance to the various geospatial parameters, and the mapping was carried out using 14 parameters. The reclassified parameters were normalized on a scale of 1 to 5 according to the degree of probability of the presence of GDE. The validation was carried out through fieldwork and statistical analysis. Then, the spatio-temporal changes amid changing GW levels were assessed using the summer season normalized difference vegetation index (NDVI). Two GDEZ maps were obtained, for 2002 and 2017, between which the high- and very-high-probability zones of GDEs decreased by 31,887 ha (~ 38%). The most sensitive temporal parameters that most influenced the spatio-temporal changes on GDEs were precipitation and land use, with rain exerting a slightly the greatest influence. It was also demonstrated that identified ecosystems decreased in area or were affected by aquifer depletion (NDVI-GW, r Pearson ≥0.74). This validated method allows spatio-temporal changes in GDEs to be mapped and analysed at an annual scale and is transferable to other arid and semi-arid environments.

Speaker Biography

I graduated with Honors from the University of Havana as a Bachelor of Geography (2013). Then, I was a collaborating researcher at the Institute of Meteorology and worked as a professor of Meteorology-Climatology, and Tropical Meteorology at the Faculty of Geography, University of Havana (2017). I obtained my PhD. in Environmental Sciences with a mention in Continental Aquatic Systems at the University of Concepción, Chile (2021). My research focus is in Physical and Environmental Geography, using Remote Sensing and GIS. I am currently a Postdoctoral Researcher at the Hemera Earth Observation Center of the Universidad Mayor of Santiago, Chile.

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George Eugene Mikhailovsky

Title- Shuffling evolution, the biosphere gene pool and their role in the evolution of the biosphere

Speaker Abstract

Symbiogenesis involves horizontal gene transfer (HGT) as one of its main drivers. Due to the double chain character of HGT, genes with an adaptive mutation spread very rapidly among existing species, creating new ones. This causes these genes to spread faster than they are destroyed. As a result, they become practically immortal, forming a "biospheric gene pool" (BGP). Not each of these genes exists in every species, and certainly not all of them are expressed. The vast majority of genes in BGP are repressed by regulatory genes. However, they are often expressed and subjected to natural selection. This mechanism for testing repressed genes for adaptability can be thought of as "shuffling a deck of genes" by analogy with shuffling a deck of cards. Before the Phanerozoic eon, both BGP and the operational part of each genome were quite poor. Accordingly, biological evolution during these eons was slow due to the extreme rarity of adaptive mutations. However, over these approximately 3.5 billion years, BGP gradually accumulated a huge number of genes. We believe that multicellular eukaryotes that appeared at the end of the Proterozoic eon, could, with the help of HGT, shuffled these genes accumulated in BGP through prokaryotes living in these multicellular organisms. Perhaps this was the reason for the "Cambrian explosion" and the high (and increasing) rate of evolution in the Phanerozoic eon compared to the previous ones. Modern anthropogenic modification of the biosphere refers to the Cambrian explosion as a real explosion to the combustion process. But the Cambrian explosion led to the complication of the biosphere, while the anthropogenic "superexplosion", on the contrary, to its simplification. The shuffling evolution continues at an increasing pace. But whether he can compensate for a man-made super explosion is a big question

Speaker Biography

I began my career at Moscow State University, where I received my Ph.D. in biophysics in 1969. I then moved into oceanography and ecology, taking part in more than 20 biological science cruises and a dozen Arctic coastal expeditions. I have worked extensively on multidimensional statistical models of plankton communities and wrote computer programs to implement them. In 1983, I got my doctorate in systems ecology. In 1995 I moved to the USA and for the last 20 years I have worked as a principal systems analyst in a private company CALIBRE. Simultaneously, I continue my research in the field of evolution and became the editor-in-chief of the Journal Evolutionary Science. In 2013, Gary Sorrell and I founded the non-profit organization Global Mind Share, of which I am still president. I have published 5 books and about 90 articles in scientific journals and chapters in scientific monographs.

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Fam Pei Shan

Title- Comparative landslide spatial research based on various sample sizes and ratios in Penang Island, Malaysia

Speaker Abstract

This paper aims to compare and develop the influence on different sample sizes and sample ratios when using machine learning (ML) models, i.e., support vector machine (SVM) and artificial neural network (ANN), to produce landslide susceptibility maps (LSMs) in Penang Island, Malaysia. At the same time, traditional statistical (TS) models are also considered to produce LSMs in this comparative research. The receiver operating characteristic (ROC) curve and recall metric are applied to evaluate the model’s performance. Based on the evaluation criteria, the ML model outperforms the TS models and the ML models trained using the datasets with larger sample size give a better performance. ML models, especially SVM models, have better performance when training with balanced datasets as well as the datasets of more landslide sample data. Kruskal-Wallis test and Mann-Whitney U test are applied to test the significance. The results indicate that sample size and sample ratio are essential factors when considering ML models to produce LSMs. The LSMs produced in this research can provide valid and useful information to the local authorities for landslide mitigation and prediction.

Speaker Biography

Dr. Fam Pei Shan is a Senior Lecturer at the School of Mathematical Sciences, Universiti Sains Malaysia. Currently, she is Program Chairperson of the Bachelor of Applied Science (Applied Statistics) in the school. She obtained her Bachelor, Master and Ph.D. degree in Statistics from University of Malaya, Malaysia. Her research interests include categorical data analysis, regression analysis and reliability analysis. She is Editorial Board Member of Journal of Statistical modelling & Analytics (JOSMA). She is active in landslide prediction study. She has authored several journal articles on slope failure analysis.

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David Jeffery Adams

Title- Achieving sustainability in food manufacturing operations and their supply chains: Key insights from a systematic literature review

Speaker Abstract

Managing sustainability in the food supply chain is critical given the very large environmental and social footprint that the food industry has globally. The food industry and its associated agricultural supply chain accounts for around 29 percent of global greenhouse gas emissions, 80 percent of deforestation and 70 percent of freshwater use. Food industry players have become increasingly involved in these issues due to stakeholder pressures, and this highlights the importance in understanding what sustainability practices and best practices are being utilised. A review was undertaken that identified the current state of knowledge of how food manufacturing companies implement sustainability in their operations and across their supply chains. A thematic analysis was conducted on 130 papers that were published over a 21-year time frame from 1999 to 2020 to identify eight key sustainability themes in the literature. These themes included – life cycle assessments, drivers, barriers and incentives to sustainability, waste and recycling management, food chain logistics, sustainability practices in small and medium sized enterprises, supplier management, partnerships and relationships and “other” sustainable supply chain management practices. Through examining the literature, it is clear that there remains substantial scope for research on the role of small and medium sized enterprises and food logistics. It is also clear that large multinational companies have a critical role in supporting supply chain practices through driving practices and also in providing critical resources for partners across the supply chain. The circular economy is emerging as a key research area that is experiencing increasing focus, although it is argued that future research should focus on digitisation efforts such as through Internet of Things and blockchain that has been highlighted as a major disruptive and supportive element in increasing sustainability across supply chains. This work should be of interest to academics, practitioners, and policy makers in their pursuit of sustainability objectives

Speaker Biography

David Adams is a food technology graduate with 40 years’ experience in the food industry, primarily in research and development and also quality. He have an MBA from Monash University in Australia and he have held senior management positions with a number of multi-national food companies. He have lived and worked in Australia, China, Singapore, and England. For the last 15 years of his food industry career, he was Director of Quality for the Asia Pacific region for Kraft Food Limited which involved a considerable amount of travel throughout the region and increased his interest in food industry sustainability. This position also involved leading the regions crisis management team. He is now two years into a full-time PhD at Swinburne University of Technology in Australia focusing on sustainability in the food and beverage industry.

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Nurhayati Br Tarigan

Title- Explorative study of aquaponics systems in Indonesia

Speaker Abstract

Aquaponics is the combined cultivation of fish in aquaculture systems and plants in hydroponic systems (HPS). This study aimed to explore and evaluate new aquaponics system designs in Jakarta, Indonesia, in terms of water and nutrient efficiency, and/ or profitability. The systems are combination of recirculated aquaculture system, HPS, duckweed cultivation system, and anaerobic digester units. The latter converted settled material from RAS to biogas and waste sludge. In total, one brackish water (BW) system with barramundi-tomato and three freshwater (FW) systems with Nile tilapia-rice-duckweed, Nile tilapia-rice, and Nile tilapia-tomato were investigated using dynamic mathematical models using mass balance. State variables included are fish biomass, feed, plant biomass, phosphorus, NH4+, and NO3-. The results showed an increase of N, P, and water use efficiency by 10%, 18%, and 31%, respectively, in FW system of Nile tilapia-rice compare to Nile tilapia-tomato. Meanwhile, adding duckweed in the Nile tilapia-rice FW system only contribute a slight increase of nutrient and water the efficiency while worsened the already negative net present value (NPV) of the system due to the high land prices in Jakarta. The BW system had similar water and nutrient efficiency to FW system of Nile tilapia-tomato, but a lower NPV. Profit of the Barramundi-tomato and Nile tilapia-tomato becomes comparable if the hydroponic area in the former system can be expanded by 35%, or the selling price of tomato or fish can be increased by 20%. Given the expected growth of both the production of tomatoes and aquaculture in Indonesia, there is potential for further introduction of aquaponics systems in Indonesia.

Speaker Biography

Nurhayati Br Tarigan is a PhD candidate at Wageningen University and Research (WUR), the Netherlands. She finished her MSc in Biosystem Engineering, WUR and BSc in Bioengineering, Institut Teknologi Bandung (ITB), Indonesia. She is passionate to develop sustainable agriculture in Indonesia through knowledge transfer with local farmer. Her current PhD project is about nutrient and water quality management of pond aquaculture in Indonesia, with a goal to create smart farming avoid overfeeding. Before her study in the Netherlands, she was a research assistant in ITB, conducted researches to valorize agricultural waste in West Java, Indonesia and converted it to high protein biomass

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Himmat Singh

Title- Modular-mini refineries: A positive strategy for developing economies

Speaker Abstract

Modular-Mini refineries are scaled-down versions of standard oil refineries. They vary from simple diesel production units to more sophisticated ones, are less cost intensive. These can be used more flexibly to respond to changes in product demand, particularly in developing economies with reasonable to rich oil resources. Key drivers of Modular refinery market are: • Rise in government initiatives to increase local refining capacities by investing significantly in modular refineries, primarily based on local crude supplies to convert it into ever increasing demand for refined products, to reduce fiscal deficit, ensure security of transportation fuels, enhance power generation and secure LPG supply, quick installation period and lower investment costs. In addition such plants offer great environmental friendliness as compared to standard plants. • Country specific reasons: Nigeria says the gap between petroleum product demand and supply in the country is due to the sub-optimum state of their domestic refineries. Indonesia, an archipelagic country, faces challenges in supplying fuel to various remote regions. Solution evolved is to build mini refineries with appropriate processing capacities to maximize the potential of existing oil reserves, reach remote areas and meet domestic demand. The Modular-Mini refineries tend to be topping or hydro-skimming type that may range from 5,000 to 30,000 BPSD crude capacity. Configuration tends to be simpler and can include process units such as a Crude Distillation Unit, Diesel Hydro-treating, Naphtha Hydro-treating, Reforming, Isomerization, Sulfur treating, etc. Such refineries can be configured and sized to meet target product demands and flexible to expand for future needs. Other benefits include: high quality off site modular fabrication, shorter schedule and possibility for future relocation. Mini refining has been embraced as a positive strategy in developing economies with Nigeria and Indonesia being the lead nations. Also Emirates National Oil Co’ plans to build a 7,500 bpd modular refinery in Fujairah, Iran plans eight new mini-refineries to serve the South Pars gas field, Equatorial Guinea and Angola refinery projects.

Speaker Biography

Dr Himmat Singh served as Scientist ‘G’ at the CSIR–Indian Institute of Petroleum, Dehradun, in the area of Petroleum Refining. Post retirement, worked as Advisor R&D for three years with BPCL, Mumbai. Total experience in applied research & development 39 years. Post retirement alsoserved for 15+ years as Professor and Head of Department of petroleum /Chemistry at Three Indian universities. Visiting Faculty in premier Institutes/Industry of India and abroad to teach downstream petroleum & Natural Gas professionals and MBA students. Dr Singh holds: MSc in Chemistry, Diplome D’Ingenieur in “Rafinage et Petrochemie” from ENSPM of IFP France, and a Doctorate in Chemistry-Refining of Lube Base Stocks from Meerut University, India. He has published a total of 200+ papers, 67+ in foreign journals, supervised 10 Ph.D thesis. He is recipient of many prestigious awards. Currently he function as a consultant in the field of petroleum Refining & natural gas.

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Totan Garai

Title- Assessment of water resource management problem in an agriculture field, Purulia, India using multi-criteria decision making (MCDM) based on possibility measures under generalized single valued non-linear bipolar neutrosophic environment

Speaker Abstract

Purulia district in West Bengal, India, is a well-known drought-prone area. Farmers of the area suffer a lot the whole year and could not plant the crops due to the poor water resources management. During the summer season, the situation becomes worst. Water resource management (WRM) is a potential method to address the available water resources for the district. In this paper, we have developed a multi-criterion water resource management technique for defining available water resources in agriculture. We have introduced a novel ranking method of generalized single-valued non-linear bipolar neutrosophic numbers based on possibility measures. Additionally, we have first defined the possibilistic mean of generalized single-valued non-linear bipolar neutrosophic number. Using the possibilistic mean, we have invented the positive and negative rank expositor for authenticity, hesitate, and falsity membership functions. In the present situation, water resource management in agriculture has become a big problem worldwide. Multi-criteria decision-making (MCDM) technique is necessary for developing this situation. Using the proposed multi-criteria decision-making (MCDM) method, we have solved a real water resource management problem in the Purulia district under GSVnTbN-environment. In this decision-making problem, we have considered the GSVnTbN-environment. Because during the summertime, water demand is very high, and groundwater level declines. At the end of summer, water demand is deficient in the agriculture field of the Purulia district. Sometimes the monsoon season, rainwater does not occur entirely. Even rainfall is uneven over the district. At that time, monsoon crop planting was tough in the agriculture field. So, this district's water scarcity nature is of a non-linear and uncertain type of nature. Therefore, we proposed an MCDM method for water resource management problems under GSVnTbN-environment.

Speaker Biography

Dr. Totan Garai received his post-graduation (M.Sc) in Mathematics from the Indian Institute of Technology, Madras, and Ph.D. in Mathematics from the Indian Institute of Engineering Science and Technology, Shibpur. Currently, he is working as an Assistant Professor in the Department of Mathematics, Syamsundar College, West Bengal -713424, India. He has qualified CSIR-UGC National Eligibility Test (NET). He has been teaching Mathematics both at the undergraduate and postgraduate levels. His research areas are Possibility theory, Fuzzy optimization, Inventory model, and Decision-making problem. He has authored more than 20 papers (over 14 are SCI) published in refereed. International Journals, including Computational and Applied Mathematics, International Journal of Intelligent Systems, Expert systems and application, Journal of Intelligent & Fuzzy Systems, Soft Computing, Journal of Ambient Intelligence and Humanized Computing, Mathematics & Statistics, Journal of Industrial and Production Engineering, Granular Computing, The Journal of Analysis, Annals of Data Science, Journal of Uncertainty Analysis and Applications, CAAI Transactions on Intelligence Technology, etc. His Google citations are more than 200. He reviewed many national and international journal articles.

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Jyoti Sahu

Title- Use of partial molal enthalpy for refining the partition of water activity into electrostatic and nonelectrostatic components

Speaker Abstract

This paper describes a procedure to precisely decouple the electrostatic and the nonelectrostatic contributions to the water activity of an electrolyte solution, using the partial molal enthalpy of water in the electrolyte solution. This work is an extension of our previous work [Sahu et al. in Fluid Phase Equil. 460:57–68, 2018, Data in Brief 19:485–494, 2018], where a methodology to segregate the electrostatic and non-electrostatic contributions to the water activity was discussed and the constancy of the electrostatic contribution to the water activity was shown. However, in this paper, it is a noticeable point that even a 2% variation in the electrostatic contribution to the water activity leads to a very large deviation in the electrostatic contributions to the partial molal enthalpy of water. Therefore, due to the high sensitivity of the enthalpy to the variation of the water activity, the partial molal enthalpy of water is used for refinement of the method of partitioning the water activity into electrostatic and nonelectrostatic contributions and to provide the physical interpretation of the electrostatic and nonelectrostatic contribution to the partial molal enthalpy of water. This paper also describes the procedure to estimate the partial molal enthalpy of water from the water activity of the electrolyte solution. Microcalorimetry has been used to estimate the closed-spaced points of partial molal enthalpies.

Speaker Biography

Dr. Jyoti Sahu has earned his M.Tech.-PhD dual degree from Indian Institute of Technology, Bombay in Chemical Engineering with thermodynamics in electrochemistry in 2018. Prior to this, she has hold B.Tech.– Chemical Engineering from H.B.T.I. Kanpur, India. Following the completion of her Ph.D., she had done her postdoctoral from IIT Delhi, and IIT Kanpur. Her Ph.D. work is focused on the thermodynamic analysis of electrolytic systems with both experimental and theoretical components. Based on her research work, she has numerous publications and monographs in various renowned journals. Apart from this, she has various international conference proceedings papers also as a first author. Presently, Dr. Jyoti Sahu is working as an Assistant professor in the Department of Chemical Engineering in N.I.T. Tiruchirappalli, Tamil Nadu. Recently, she has been awarded “Best Young Woman Faculty Award 2021 - 2022” by Novel Research Academy. She has also been selected for InSc Young Researcher Award-2021.

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Sadib Bin Kabir

Title- Optimization of biocrude production from co-liquefaction of organic solid waste with fecal sludge and peat for an integrated waste to energy approach

Speaker Abstract

Globally, approximately 600-700 million tons/yr. of solid waste and 250-300 million tons/yr. of fecal sludge (FS) are not managed in an environmentally safe manner which is a major concern for global warming and climate change. Another environmental concern for global warming is wetlands that globally emit approximately 5 % of total greenhouse gases through organic biomass decomposition. To mitigate these environmental impacts, this study explored the waste-to-energy approach through a thermochemical conversion named hydrothermal liquefaction (HTL). While HTL has been extensively investigated for wet-feedstock valorization, less attention has been paid to enhancing the lighter fraction and heating value improvement. This study optimized the co-HTL process mechanism of organic solid waste (OSW) with Fecal sludge (FS) and peat at different mixing ratios (1:0, 1:3, 1:1, 3:1, and 0:1) and temperature variations (280 to 340 °C) for enhancing lighter biocrude production. The synergistic effect was observed during co-liquefaction of OSW with FS and peat for a mixing ratio of 3:1 at 320°C. The maximum biocrude yield of 51 - 52% was observed for co-liquefaction, of which 60 - 64 % was lighter-fraction. The light biocrude contained 45 - 60 % ester, 12 - 18 % organic acids, and 12 - 26 % fuel hydrocarbon fractions with a small amount of phenol, heterocyclic compounds, and amine derivatives. The findings demonstrated that the decarboxylation, deamination, and esterification mechanism was enhanced during co-liquefaction. The ester-hydrocarbon-rich biocrude exhibited a heating value of 37.4 - 42.7 MJ/kg, suggesting that the produced biocrude would be a potential alternative to fossil fuel (gasoline ~ 43.4 MJ/kg). This energetically feasible process would provide a revenue stream of $ 467 - 568 per metric ton of feedstock, validating the high economic prospects of the waste to energy approach.

Speaker Biography

Sadib Bin Kabir is a Lecturer at the School of Engineering, Presidency University, Bangladesh. He had worked as a research assistant on Waste to Energy project for three years in the Department of Civil Engineering, Khulna University of Engineering & Technology, Bangladesh. His research interests include global warming and climate change mitigation, anaerobic wastewater treatment, biohythane production, hydrothermal liquefaction, biological pretreatment processes, and transesterification of waste feedstocks. He invests in the development of individuals and build up a strong team spirit about engineering and research by regularly taking engineering, project management, and leadership courses. Recently, he worked on two conversion processes i.e., the co-hydrothermal liquefaction and the anaerobic digestion process of waste to biofuel conversion and published one review paper in Biotechnology Advances, eight Scopus indexed journal articles as well as six international conference proceedings. He is currently looking for opportunities to study Doctor of philosophy in renewable energy.

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Diptimayee Nayak

Title- Indian Institute of Technology Roorkee

Speaker Abstract

This study identifies different climate change adaptation strategies implemented by farm households and evaluates the effect of these adaptation strategies on the food security of these households in the Gedeo zone, SNNPR, Ethiopia, by using cross-sectional data from 400 sample farm households. It aims to analyse the impact adaptation of climate change adaptation strategies on food consumption and food security. We have used the endogenous switching regression model supported by propensity score matching methods to evaluate the impact of adopting climate change adaptation strategies on food consumption calorie intake, and binary food security status. Secondary data is also obtained from Gedeo zone agricultural offices and the national metrology agency. Results show that socioeconomic, demographic, and biophysical factors like age of the household head, marital status, farm income, non-agricultural income, landholding size, climate change information access, credit access, fertility of the soil, and agro-ecology are the major determinants of farm household's decision to adopt adaptation strategies. The average food consumption calorie intake is higher for the adopter compared to the non-adopter. The impact of adoption is slightly higher for the non-adopter than the adopter farm households. Thus, policies and development plans that encourage the adoption of climate change adaptation strategies should focus on improving the food security status of farm households in the study area.

Speaker Biography

Dr. Diptimayee Nayak is currently works as an assistant professor of economics at Indian Institute of Technology Roorkee, India. Dr. Diptimayee’s main research areas of expertise are environmental economics, ecological economics, biodiversity, conservation, protected area, valuation of ecosystem services and sustainability.

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Mushtaq Ahmad Mir

Title- Klebsiella oxytoca; An efficient pyrene-degrading bacterial strain isolated from petroleum contaminated soil

Speaker Abstract

Polycyclic aromatic hydrocarbons (PAHs) are the hazardous xenobiotic agents of oil production. One of the methods to eliminate hazardous compounds is bioremediation, which is the most efficient and cost-effective method to eliminate the harmful byproducts of crude petroleum processing. We isolated five pure bacterial isolates from petroleum-contaminated soil, four of which showed a robust growth on the PAH pyrene, as a sole carbon source. Various methods, viz, mass spectroscopy, biochemical assays, and 16S RNA sequencing ascertained the consistent identification of Klebsiella oxytoca. Scanning electron microscopy and Gram staining further demonstrated the characterization of the K. oxytoca. High-performance liquid chromatography of the culture supernatant of K. oxytoca grown in pyrene containing media showed that the cells started utilizing pyrene from the 6th day onwards and by the 12th day of growth 70% of the pyrene was completely degraded. A genome search for the genes predicted to be involved in pyrene degradation using Kyoto Encyclopedia of Genes and Genomes (KEGG) confirmed their presence in the genome of K. oxytoca. These results suggest that K. oxytoca would be a suitable candidate for removing soil aromatic hydrocarbons. In future, genes involved in pyrene mineralization and the pathways involved in its metabolism would be identified.

Speaker Biography

Dr. Mir earned his PhD from the Indian Institute of Science (IISc), Bangalore, India. After acquiring knowledge and gaining interest in understanding the biology of human pathogen Mycobacterium tuberculosis, Dr. Mir moved to Harvard Medical School, Boston, USA, and investigated the signaling mechanisms of environmental queues by the same pathogen. Dr. Mir subsequently moved to Wadsworth Center of New York State Department of Health, NY, USA, to further pursue the translation mechanism of leaderless RNAs of mycobacterium. Presently Dr. Mir is an Assistant Professor at the College of Applied Medicine, King Khalid University, Saudi Arabia, where beyond teaching, he is involved in identifying the novel natural compounds having antibacterial activity against the drug-resistant/ sensitive bacterial strains and subsequently investigating the underlying molecular mechanisms for such activity. Dr. Mir extended his interest in environmental sciences, especially in bioremediation.

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Ashish Gome

Title- Removal of persistent chemical oxygen demand from pharmaceutical wastewater by Ozonation at different pH

Speaker Abstract

Ozonation has been applied to treat actual pharmaceutical wastewater sample for the removal of chemical oxygen demand. Ozonation can generally achieve higher pharmaceuticals removal rates as compared to conventional processes as ozone reacts with variety of complex compounds, intermediates and breaks them into simpler ones. Chemical oxygen demand removal study can be useful to elucidate the effect of pH on ozonation. In this study, an attempt has been made to assess impact of ozonation on the removal of persistent chemical oxygen demand from actual pharmaceutical wastewater sample under varying conditions of pH from 4-10. Lower chemical oxygen demand removal efficiency was observed under acidic medium (pH 4.0) as compared to those at pH 6.9 and 10.0. Treatment at alkaline pH 10.0 using 30.0 mg L-1 ozone for a treatment time of 10 minutes resulted in 66.67% chemical oxygen demand removal from the sample. It was reported that ozonation at higher pH favored chemical oxygen demand removal from the sample. At elevated pH, indirect reactions are main means of ozonation and also as the rate of formation of hydroxyl radicals substantially increases, it can be said that the percentage chemical oxygen demand removal was significant in alkaline medium. Improved biodegradability (ratio of biochemical oxygen demand to chemical oxygen demand = 0.455) after 10 min of treatment showed the effect of ozonation on actual sample. It was concluded that ozone treatment alone can remove pharmaceuticals from actual wastewater sample.

Speaker Biography

Dr. Ashish Gome, born on December 15, 1979 at Ujjain • Education: Bachelor of Engg (Chemical Engg, 2000), Master of Technology (Chemical Engg, specializationEnvironmental Management, 2005) from Govt. Engg College, Ujjain and Doctor of Philosophy (Ph.D. Chemical Engg, 2016) from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal (M.P.), India. Qualified GATE (examination conducted by IITs) with an All India Rank of 719. • Experience: 14 years • Served in Govt. Polytechnic College, Govt. Engg College, Ujjain as Guest Faculty, Contract Faculty at Vikram University, Ujjain and Asso. Prof. at SGSITS, Ujjain (M.P.). I worked as a Head of Department, Dean (Admin) and Training & Placement Officer. • Present: Working as an Environmental Consultant at AM Ozonics Pvt. Ltd., Mumbai (Maharashtra) for 6 years. • Scholastic Achievement: Secured All India Rank 8 in REEPG-2001, an examination conducted by the University of Roorkee (Now an IIT) for admissions M.Tech. • Research Interest: Water and Wastewater treatment (advanced oxidation)

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Momodou Mustapha Fanneh

Title- Climate change, growth in agriculture value added, food availability and economic growth nexus in the Gambia: A granger causality and ARDL modeling approach

Speaker Abstract

This paper aims to test empirically, the direction of causality between climate change, agriculture valued added, Food production (the proxy for food availability), and economic growth in the Gambia. This study employed annual data which were collected for the period 1960–2017 and analyzed these data using the ARDL approach and the granger causality framework. The empirical evidence shows that: (1) the short-run and long-run ARDL model confirmed that the growth of fish production and growth of livestock production in the Gambia have significant positive impacts on the growth of GDP; (2) the short-run and long-run ARDL model indicated that growth of food import and growth of agriculture have negative impacts on the growth of GDP; (3) Granger causality analysis between the lagged values of growth of GDP and lagged values of growth of Food availability indicators has unidirectional relationships; (4) lagged values of the growth of GDP Granger cause lagged values of growth of agriculture but lagged values of growth of agriculture does not Granger cause lagged values of growth of GDP, which suggested an indirect relationship; (5) the relationship between the lagged values of growth of crop production and lagged values of growth of agriculture indicated a bidirectional relationship. Finally, an important indication is established on the role of fish production, livestock production, climate change, and crop production to control food availability and economic growth in the Gambia.

Speaker Biography

Assoc. Prof Momodou Mustapha Fanneh obtained a Doctorate degree in Economics at Fordham University, New York, an MBA at Rutgers State University of New Jersey, USA and MSc. in Economics University of Southampton, UK. He was an Adjunct professor at Rutgers, State University of New Jersey and Lehman College, New York. Currently, Dean of School of Business and Public Administration, University of The Gambia, a Senior Research Associate at Center for Policy Research and Strategic Studies (CepRass) and a Senior Researcher at Directorate of Research and Consultancy, University of the Gambia with more than 20 years of research experience. His main research interests are international trade, development economics, macroeconomics and monetary economics. He worked as a Senior Transport Planner/Economist at the Department of State for Works, Communications and Information, The Gambia, 1996 – 2000 and involved in the development of National Transport Plan and National Transport Policy of The Gambia.

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Vishesh Dharaiya

Title- Investigating feasibility of interlayers in resistance spot welding of lowcarbon steel sheets

Speaker Abstract

In this study, experiments without interlayers and with interlayers of copper and stainless-steel sheets were performed.Design of Experiments based Full-Factorial Method was employed to generate experimental combinations. A total 81samples were welded and tested in Universal Testing Machine to determine their Breaking Load. To investigate feasibility considering vehicle lightweightness, a novel LTW (Load-to-Weight) ratio has been proposed. Calculated LTW ratio for each experiment clearly showed that samples with stainless-steel interlayer outperformed over samples with copper interlayerand samples without interlayer. For feasibility in terms of machine durability, electrode corrosion has been found as themost auspicious parameter among all. Spot welding electrodes attain air oxidation above 700 °C. An FEA solver has been employed to determine time for electrodes to remain above air oxidation temperature during a single welding cycle through numerical simulation. A novel LTT (Load-to- Time) ratio has been proposed to find experimental combinations considering feasibility regarding electrode corrosion. LTT ratio, applied to experimental combinations with SS interlayer helped in selection of suitable process parameter combinations. Selected combinations through LTW and LTT ratio can be further proposed to industries. Study advocates method to calculate LTW ratio initially, following calculation of LTT ratio and eventually selecting process parameters contemplating feasibility in lightweightness and electrode corrosion.

Speaker Biography

Vishesh Dharaiya is a doctoral researcher at IITB-Monash Research Academy (A joint PhD program between Indian Institute of Technology, Bombay and Monash University, Australia). He has his bachelors in mechanical engineering and masters in profduction engineering. His area of interest are conventional and non-conventional manufacturing. His goal is to use to make manufacturing processes more sustainable. He has published several research papers in reputed journals and conferences. He has two published patents.

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Kuldeep Kumar Kataria

Title- On the long range dependence property of fractional counting processes

Speaker Abstract

The fractional generalizations of the Poisson process has drawn the attention of many researchers since the last decade. Recent works on fractional extensions of the Poisson process, commonly known as the fractional Poisson processes, lead to some interesting connections between the areas of fractional calculus, stochastic subordination and renewal theory. The state probabilities of such processes are governed by the systems of fractional differential equations which display a slowly decreasing memory. It seems a characteristic feature of all real systems. Here, we discuss some recently introduced generalized counting processes and their fractional variants. Various fractional counting processes such as the fractional Poisson process and its mixed variants exhibit the longrange dependence property. It is proved by establishing an asymptotic result for the covariance of inverse stable subordinator.

Speaker Biography

Dr. Kuldeep Kumar Kataria received his BSc (Hons) degree in Mathematics from St. Stephen’s College, University of Delhi. He received his MSc degree in Mathematics from IIT Kanpur. In 2018, he received his PhD in Mathematics from IIT Bombay. Later, he joined IISc, Bangalore as a NBHM Post-Doctoral Fellow. He is currently working as an Assistant Professor in the Department of Mathematics at IIT Bhilai. The research interest of Dr. Kataria lies in the area of fractional stochastic processes and subordinated (time-changed) versions of certain counting processes. He deals with stable subordinators and space-time fractional versions of the Poisson process. In his PhD thesis, he has studied the applications of Adomian Decomposition Method to certain fractional stochastic processes. So far, Dr. Kataria has published 19 research articles in international journals of repute like Journal of Theoretical Probability, ALEA. Latin American Journal of Probability and Mathematical Statistics, Journal of Mathematical Analysis and Applications, Comptes Rendus Math´ematique, Statistics and Probability Letters, Stochastic Analysis and Applications, etc. Also, he has published several expository articles in reputed mathematical magazine like American Mathematical Monthly, Mathematics Magazine, etc. For his research contributions he has been honoured with the Award of Excellence in Thesis Work for the year 2016- 2018 by Hon’ble Prime Minister of India at the 56th Convocation of the Institute (IIT Bombay).

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Pierre Marie Chimi

Title- Climate change perception and local adaptation of natural resource management in a farming community of Cameroon: A case study

Speaker Abstract

Climate change is perceived by communities at different levels and their adaptation measures are often corresponding to local understanding and realities. A socio-economic survey and field observations were conducted among 95 Bàkì farmers in the Ntui district of Central Cameroon, to examine the community’s perception of the changes observed and the adaptation measures undertaken locally. Apart from the relative homogeneity of its community, the area was chosen for its climatic conditions. This area is characterized by a bimodal rainfall pattern on the one hand and by a transitional rainfall pattern between the bimodal patterns of the far south and the unimodal pattern of northern Cameroon. The study found that the Bàkì community has developed a classification of the climatic seasons through the changes observed over time, namely the increase in temperature, the decrease in rainfall, and the resurgence of extreme events such as their currency of violent winds and drought. The classification confirms the locally important changes in climate that affect the agricultural calendar, thereby planning the community’s socio-economic activities. In response to the effects observed, the farmers have developed an adaptation strategy that includes reverting to more appropriate farming practices and more resistant varieties. Notably, the farmers use are adding a grid of climatic and environmental variations as are ference to decide on adaptive actions and adaptation measures. The study results reconfirm that perception of climate change is strongly influenced by age and education

Speaker Biography

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Abhishek Kumar

Title- Importance of identification of source zones in seismic hazard analysis

Speaker Abstract

Development of seismotectonic map of the study area is a first step while attempting seismic hazard analysis. It consists of finding past earthquakes within a defined seismotectonic province along with the information on seismic sources in the region. Information on past earthquakes can be gathered from various database and gives more or less a complete picture of known earthquakes within a user defined region. Information on seismic sources is very critical. It is primarily due to the fact that while the development of seismic sources is a continuous process depending upon the tectonic setting and governing dynamics of the region. However, studies targeting to identification of seismic sources in a region happens for specific purpose that too confined to specific regions. As a result, although information about past earthquake is available, knowledge of seismic sources responsible for generating such events is incomplete majority of times. This can be understood from the fact that numerous seismic hazard studies exist with earthquake events present in locations of no seismic source. Overcoming this limitation of partial knowledge of linear seismic sources, numerous studies attempted seismic hazard studies based on identification of zones/ aerial seismic sources. However, it has been observed that identification of such zones are mostly based on either visual identification or taking variation of parameters such as rupture characteristics, geology, topography etc. into account. In such case, whether the seismic activity in each identified zone is uniform or not is not checked. Present manuscript will present a broader overview of factors considered in identification of source zones for seismic hazard studies and their effect on the findings of such seismic hazard studies. Further, rational methods which are in practice in seismology to identify regions of uniform seismicity will be discussed in detail. Identification of appropriate source zones will also have effect of relative use of selected attenuation relations since the range of distance of each identified source zone from the site of interest will change. How this affect can be taken into account while determining relative weights of selected attenuation relations, will also be discuss in this manuscript.

Speaker Biography

Dr Abhishek Kumar is working as Associate Professor at the Department of Civil Engineering, Indian Institute of Technology Guwahati, India since Jan 2019. His primary research areas include seismic source characterization, ground response analysis, inverse ground response analysis, liquefaction assessment, ground improvement of liquefiable sites, development of regional ground motion prediction equations, geophysical exploration. Dr. Kumar has so far published 39 Journal papers, 40 Conference papers and 5 book chapters. He is closely working with different agencies such as Department of Science and Technology, Government of India, Ministry of Earth Sciences, Government of India, Numaligarh refinery limited etc. on various research and consultancy projects. His research findings on development of source characterization methodologies, development of regional GMPEs applicable for different site classes for North India and determination of dynamic soil response curve has received much attention in the recent times.

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Vishnuvardan Narayanamurthi

Title- Groundwater potential zoning by integrating multi-Criteria decision and bivariate analysis methods – A case study on cheyyar river basin, Tamil Nadu, India

Speaker Abstract

The study aims to improve the pairwise decision matrix of the widely used analytical hierarchy process (AHP) to generate groundwater potential zones for Cheyyar River Basin through multi-influencing factor (MIF) and bivariate analysis. MIF prioritizes 11 time-independent input thematic layers, and Cramer’s V dependency value from bivariate analysis is used to assign the decision values of the pairwise matrix. The resulted potential zones are classified into four categories: Poor, Moderate, Good and Very-Good, with 15.33, 70.78, 13.88 and 0.002% of the total area. Well yield data from fourteen wells are used for validation, and the accuracy value is 85.67%. The conclusions arrived are as follow: (1) Utilizing the Cramer’s V value for pairwise matrix enhanced the reliability of decision, (2) The spatial variation of potential is influenced majorly by the Lithology and (3) Annual average rainfall and groundwater fluctuation indicating the groundwater availability matches with the zones of groundwater potential.

Speaker Biography

Mr Vishnuvardan Narayanamurthi, full time research scholar in SRM institute of Science and Technology, Chennai, India completed Under Graduate degree in Civil Engineering from Anna University Chennai and Post Graduate degree in Hydrology and Water resources Engineering from Anna University Chennai. Also having academic teaching and research experience of 8 years. Presently working on Recharge efficiency of recharge zones based on numerical modelling.

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Emmanuel Ogheneochuko Ekpruke

Title- Process parameter optimization in the development of ecofriendly brakepads from waste Nko-nko (thais coronata L.) seashells using central composite design

Speaker Abstract

This study investigates the optimization of the process parameters in the development of ecofriendly automotive brakepads from agro-wastes of nko-nko (Thais Coronata L.) seashells (NSS) reinforcement materials using central composite facedcentered design (CCF). The brakepad composites was developed by compression moulding using seashells reinforcement, epoxy resin binder, CaCO3 filler, methyl-ethyl-ketone peroxide catalyst, carbon black friction modifier, iron filing abrasives and copper fillings thermal conductivity enhancer. Twenty samples of NSS brakepads were developed from 3-levels of 3 process parameters, namely; curing time, curing temperature and moulding pressure as independent variables. The physicomechanical and tribological properties of the samples were measured as dependent variables for the optimization. Response surface multivariate quadratic models, signal–to–noise ratio and ANOVA were employed in the optimization. The determined optimal process parameters for the developed NSS brakepads were 13MPa moulding pressure, 165℃ curing temperature and 3h curing time. The measured properties of the developed samples were compared with those of two commercial (control) samples. EDX spectroscopy results showed the presence of toxic heavy metals (7-40% Sb, 6.44-12.88%Ti, traces of Se, Sn, Mo) in the commercial (control) samples unlike the NSS samples. The comparative analysis showed superior performance of the developed brakepads relative to the control samples.

Speaker Biography

Engr. E.O. Ekpruke is a doctoral student of Mechanical Engineering at the Africa Center of Excellence- Center for Oilfields Chemicals Research (ACE-CEFOR) and a Research Officer at the Applied Mechanics & Design (AMD) Research Group, Department of Mechanical Engineering, University of Port Harcourt. He has seven (7) published journal articles with several others currently under review. His research interest is in the area of nonlinear dynamics and materials engineering.

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Stephen Ajuaba

Title- Controls on biomarker and carbon isotope patterns during the Toarcian anoxic event (dormettingen section; swabian alb)

Speaker Abstract

The Toarcian oceanic anoxic event (T-OAE) is associated with a prominent negative carbon isotope excursion (CIE;~183 million years (Myr)). About 10-m-thick organic matter-rich sediments accumulated during the T-OAE in the Southwest German Basin (SWGB). Rock– Eval, maceral and biomarker analysis were used to determine variations of environmental conditions across the CIE interval. Carbon isotope records were determined for various n- alkanes, pristane and phytane to contribute to the reconstruction of the paleo-environment and to study the factors controlling molecular δ13C values. Geochemical redox indicators provide evidence for photic zone anoxia during the Toarcian CIE, which reached its maximum after deposition of the “Unterer Stein” marker horizon. The 2α-methylhopane index suggests enhanced activity of diazotrophic cyanobacteria, which is also supported by nitrogen isotope data. This distinguishes the SWGB from other Toarcian basins with black shale deposition. Oxygen-depleted conditions, albeit with lower intensity continued after the CIE. All investigated organic compounds replicate the negative CIE, but the magnitudes vary considerably. The largest shift is observed for n-C27 (9‰) and reflects the combined effect of the global CIE and a major change in organic matter input (termination of terrigenous organic matter input). The shift for short-chain n-alkanes, pristane, and phytane, interpreted to reflect marine biomass, varies between 4.5 and 5.0‰. This is the highest value observed so far for any Toarcian section. δ13C values of pristane and phytane reach a minimum near the base of the CIE interval and increase upsection. Thus, the maximum negative isotope shift predates the strongest basin restriction by about 450 thousand years (kyr).

Speaker Biography

Stephen Ajuaba is currently a research associate and Ph.D. applicant from Cameroon and works on “Enhanced oilsource correlation using biomarkers and compound-specific isotopes". His work covers the application of various geochemical and petrographic techniques for the analysis of the molecular and isotopic composition of oil, natural gas and rock extracts, to enable accurate an efficient characterization and correlation of oils to their source rocks and also to reconstruct their paleo depositional environments. He currently works on the organic- rich Toarcian shales in SW Germany and the Permo-carboniferous rocks in Weiach, Switzerland. Previously, he gained work experience in sedimentary geology during his M.Sc. project in Italy and Spain (2018) and in organic geochemistry during his post-graduate traineeship (2019) at the Montanuniversitaet Leoben.

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Patricia Veras Marrone

Title- Environmental decision criteria for partial nationalization of pharmaceutical supply chain

Speaker Abstract

Background: Any disturbance affecting the Pharmaceutical Supply Chain (PSC) can affect the efficiency of the health system and disrupt the supply of medicines. The global pharma supply chain has been facing shortages in the supply of pharmaceuticals. Due to PSC shortages, many countries adopted actions to mitigate the risks of disruptions. Many recommendations have been proposed, such as adopting a plus one diversification approach, increasing safety stock, and nationalizing the medical supply chains. Objective: The objective of this paper is to scope findings, advanced in the academic literature related to criteria to be elected to guide national policy decisions regarding the partial nationalization of the pharmaceutical supply chain under the three main stakeholders’ points of view: Industry; payers (government and health insurance) and patients. Definition: A criterion can be defined as an “individual measurable indicator” of a key value dimension (Department for Communities and Local Government, 2009) or more specifically, a “particular perspective” according to which alternative technologies may be compared (Belton and Stewart, 2002). Results: A total of 10,501 titles were screened 984 entered the abstract screening. Of these, 400 were eligible for the full-text review, 120 were included in the final data extraction phase the articles related to the “Partial Nationalization of Pharmaceutical Supply Chain” were aggregated into three main perspectives: Industry Perspective; Payers’ Perspective and, Patients’ Perspective. After deduplication and clustering, 6 scopes and were identified and after the merging and selection process, a set of 16 general criteria was proposed. Environmental impact is one of the scopes/ points of view to be observed. Under this scope “Environmental risk caused by emissions and Waste generation during Level I upstream process” was chosen as a criterium. Conclusion: Based on the results of the systematic and scoping literature review, a pool of 6 and their respective scopes of concepts were identified in the literature, under which 19 criteria were selected. The findings can serve as a starting point for constructing “Partial Nationalization of Pharmaceutical Supply Chain” frameworks after careful adaptation to the local context.

Speaker Biography

Patricia Véras Marrone: Partner-Director of Websetorial Economic Consulting, she is an economist who graduated from the University of São Paulo (1984), with a master’s degree in Economic Sciences from the University of São Paulo (1992). She is currently undertaking a doctoral program in Electrical Engineering at the Polytechnic Institute of the University of São Paulo. She works chiefly in the following areas: microeconomics, and the development of analyses, strategies, and industrial policies for diverse segments of the economy. Is co-author of the books: "Automation and Society" (2017), "Health 4.0" (2015), and “The Laboratory Diagnostics White Book” (2021). DOI 0000-0001-5631-5587 D. Maria Lídia Dias Scoton: DOI 0000-0002-7651-3991 PHD. Eng. Sérgio Luiz Pereira: DOI 0000-0001-5210-7078 PHD. Eng. Eduardo Mario Dias: DOI 0000-0002-2104-1747

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Kyriaki Chatzikyriakidou

Title- Transforming undergraduate biology education with 5CC’s teaching practices

Speaker Abstract

The 5 core concepts (5CCs) of biology presented in Vision and Change provide a comprehensive, concept-based description of the knowledge of biology, summarized in five main biological scales and five overarching principles that dictate natural biological phenomena and processes. To bring the 5CC’s in the biology classroom, we designed the 5CC’s matrix table with five rows, each containing a core concept and three columns, containing the biological scales of molecular/cellular, organismal, and population/ecology, respectively. We have developed a lesson plan that bridges the gap between student understanding of content knowledge and their ability to connect this knowledge to larger biological principles through the integration of Primary Scientific Literature (PSL) and the 5CCs. Through the use of a matrix table detailing each one of the 5CCs and their related organizational levels, students learn how to integrate PSL and the 5CCs by connecting biological facts contained within PSL to a related biological core concept. Additionally, we have implemented the matrix table in typical introductory biology courses where students (n=77) provide short responses of how each of the 5CCs related to the given class topic (Aquaporins, Aerobic respiration, and DNA transcription). An inductive coding analysis of student responses was performed to reveal the main connections students made between each of the three topics and the 5CCs. Results showed that for some core concepts it was easier for students to draw connections to a simple topic, such as aquaporins, while for other core concepts it was easier to draw connections to a multistep phenomenon, such as aerobic respiration. Although further researcher is needed, teaching practices that integrate the 5CC’s seem promising and could advance student conceptual understanding and integration of biological knowledge.

Speaker Biography

Kyriaki Chatzikyriakidou has a PhD in Food Science and a Master’s in Curriculum and Instruction by the University of Wisconsin – Madison. She has served as teaching instructor in various undergraduate biology courses for the past decade and her passion is to help students learn biology effortlessly. While teaching undergraduate students, Kyriaki realized the challenges freshmen had in learning scientific principles and the major reforms required in the current undergraduate teaching practices. Kyriaki’s major research interest is the integration of the Five Core Concepts (5CC’s) for biology in active learning practices, as a way to provide more effective teaching and help biology students improve their conceptual understanding of biology.

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Jiayi Li

Title- Modeling stormwater runoff: The strengths and weaknesses of current software

Speaker Abstract

With climate change and urbanization, the world is faced with frequent flash floods, depletion of groundwater, and water pollution simultaneously. Stormwater Best Management Practices (BMPs) is an effective method to mitigate flash floods, purify stormwater, and recharge groundwater. To design successful BMPs, it is crucial to predict the BMPs’ effectiveness in terms of both stormwater volume reduction and pollutant removal under current and future weather conditions. However, such a modeling tool is not yet available. In this work, we reviewed 14 currently available modeling tools designed for either agricultural fields or urban areas in the perspective of assisting stormwater simulations. Two publicly available models were applied to simulate two experimental bioretention systems. The results verify that no current models are successful in stormwater quality modeling. The current urban stormwater models are advanced at hydraulic calculations, but describe removal of all dissolved pollutants with first-order reaction kinetics, not influenced by environmental factors like temperature or soil moisture. This description is not accurate for nutrients which degrade through biochemical processes. On the contrary, agricultural models simulate nitrogen transformations in detail, while important hydraulic processes of surface run-on and drainage discharge are overlooked. Based on the review and case study, a process-based nitrogen module is developed as an extension of current urban stormwater models.

Speaker Biography

Jiayi, Li is a current PhD candidate in Environmental Engineering at University of Virginia. She has a passion in building smart water systems that turns stormwater from potential cause of flood risk into safe water resource, and faces the challenge of climate change. She has developed process-based nitrogen modules for stormwater BMPs that increased prediction accuracy of nitrogen removal rates by more than 20%. With these modules, she is currently developing real time control strategies for stormwater BMPs under 2050 and 2100 weather scenarios.

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Kassila Fernanda Bertogna

Title- Parameters associated with sexual precocity of nellore heifers in integrated systems

Speaker Abstract

This study evaluated how integrated crop–livestock–forestry systems affected the expression of sexual traits in Nellore heifers. The serum concentration of insulin-like growth factor type-I (IGF-I), follicular diameter, rump fat thickness (RFT), and weight gain were assessed in 48 prepubertal Nellore heifers (14–16 months old, initial average live weight of 270 ± 36 kg). Calf birth weight was assessed after parturition. Heifers were distributed into four production systems following a completely randomized block design, with 12 animals in each treatment: open pasture (OP); two silvopastoral systems (SPSs—single rows or SPSt—triple rows), and crop-livestock system (CL). Thermal comfort was evaluated using the black globe, as well as humidity index (BGHI) and radiant thermal load (RTL). Animals in all treatments were exposed for long periods to heat stress; however, thermal indexes got lesser values in the SPS treatments. Heifers from the SPSt achieved the greatest serum concentration of IGF-I, but the follicular diameter did not differ among systems, as initially expected. The greatest weight gain and RFT standards were found in heifers of the CL system. Calves born from females of exclusive livestock (OP) showed the smallest weight at birth. Therefore, we suggested the adoption of the SPS and CL systems for livestock beef ranches as Nellore heifers reached better zootechnical and physiologic parameters associated with sexual precocity.

Speaker Biography

Kássila Fernanda Bertogna was born on May 3, 1994 in the city of Dourados, Mato Grosso do Sul. She grew up accompanying her family in activities in the agricultural sector in the state of Mato Grosso. In 2013, she began her degree in Veterinary Medicine at the Federal University of Mato Grosso – Campus Sinop, concluding in 2018. She was a volunteer professor in the same course and university of academic training, from 2018 to 2019. In March 2019, she started the Postgraduate Program -graduate degree in Animal Science also from the Federal University of Mato Grosso – Campus Sinop, with a line of research in animal production, submitting to the defense of the dissertation on February 24, 2021. Currently works with assistance in reproductive, health and nutritional management on farms of dairy cows.

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