Short Bio:

Dr. Loc Nguyen is an independent scholar from 2017. He holds Master degree in Computer Science from University of Science, Vietnam in 2005. He holds PhD degree in Computer Science and Education at Ho Chi Minh University of Science in 2009. His PhD dissertation was honored by World Engineering Education Forum (WEEF) and awarded by Standard Scientific Research and Essays as excellent PhD dissertation in 2014. He holds Postdoctoral degree in Computer Science from 2013, certified by Institute for Systems and Technologies of Information, Control and Communication (INSTICC) by 2015. Now he is interested in poetry, computer science, statistics, mathematics, education, and medicine. He serves as reviewer, editor, and speaker in a wide range of international journals and conferences from 2014. He is volunteer of Statistics Without Borders from 2015. He was granted as Mathematician by London Mathematical Society for Postdoctoral research in Mathematics from 2016. He is awarded as Professor by Scientific Advances and Science Publishing Group from 2016. He was awarded Doctorate of Statistical Medicine by Ho Chi Minh City Society for Reproductive Medicine (HOSREM) from 2016. He was awarded and glorified as contributive scientist by International Cross-cultural Exchange and Professional Development-Thailand (ICEPD-Thailand) from 2021 and by Eudoxia Research University USA (ERU) and Eudoxia Research Centre India (ERC) from 2022. He has published 91 papers and preprints in journals, books and conference proceedings. He is author of 5 scientific books. He is author and creator of 9 scientific and technological products. Moreover, he is a Vietnamese-language poet who has created 1 verse narrative and 8 collections of 374 poems from 1993.

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Salmiah Ahmad currently works as an associate professor at the Department of Mechanical Engineering , Faculty of Engineering, International Islamic University Malaysia, Kuala Lumpur. She is a Professional Engineer (P.Eng) and also a Chartered Engineer (C.Eng.) Salmiah does research in Control Systems Engineering, Engineering Education, signal processing and Instrumentation Engineering. Their current project is on modeling the correct makhraj and sifaat of the Quranic alphabet.

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Chonlatee Photong had been a development engineer at Sony Device Technology (Thailand) Co., Ltd., Prathum Thani, for 3 years (2002-2004) and a maintenance engineer at Seagate Technology (Thailand), Nakorn Ratchasima, for 2 years (2005-2006). He received his master’s degree of Power Electronics and Drives in 2007 and his doctoral degree in Electrical and Electronic Engineering in 2013 from the University of Nottingham, United Kingdom. After his doctoral graduation, he has started working as a lecturer in Electrical and Computer Engineering, Faculty of Engineering, Mahasarakham University, Thailand, and experienced working as an editor-in-chief of Mahasarakham International Journal of Engineering Technology and Engineering Access since 2014, a co-editor-in-chief of Community University Engagement Journal since 2022. He had been an assistant to the President for Public Relation and International Affairs at Mahasarakham University during 2015-2018. He is currently the Deputy Dean for Administration, Graduate School, Mahasarakham University. He is currently the head of the Electric Automotive and Energy Technology Research Unit. His research expertise is power electronics for renewable energy and electric motor drives. He has more than 60 published research works, 15 research funds and several awards covering the innovation and research studies on a current source inverter for solar and renewable energy conversion and generation, as well as, motor control, drives and applications. He is a senior member of the IEEE PES & IES-Thailand Section.

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R. S. Ajin is currently a Research Fellow at Resilience Development Initiative (RDI) Indonesia, Previously he worked as a Hazard Analyst (Geology) with the Kerala State Disaster Management Authority (KSDMA), Thiruvananthapuram, India. He has an M.Sc. degree with First rank in Applied Geology from the University of Madras (Chennai, India) in addition to have completed more than 120 online short term courses and attended more than 30 training courses. With six years of research experience, he has presented and published more than 20 research papers and edited/reviewed more than 500 manuscripts for various national and international conferences and journals. An Editorial board member for seven international journals and associated with more than 60 international conferences as a member of Scientific Committee, Technical Program Committee, and Reviewer Committee. He is a member of the Council of Asian Science Editors (CASE) and a life member of more than 10 professional societies which include Indian Society of Remote Sensing (ISRS), Indian Institute of Geomorphologists (IGI), Indian Association of Hydrologists (IAH), Association of Geoscientists for International Development (AGID), among others.

Short Bio:

Dr. Ipseeta Nanda is an accomplished professional with a diverse background in teaching, research, and administration, spanning 17 years. Her contributions to academia and innovation are evident through her remarkable achievements. She holds the credit of securing 14 patents, publishing 3 patents, copyrights, trademarks, and authoring 5 books in interdisciplinary fields, with more works in progress. Dr. Nanda’s passion for research extends to guiding three PhD students, fostering the growth of future scholars.Her research excellence is further demonstrated by a substantial number of SCI and Scopus indexed journal papers, solidifying her position as a respected expert in her field. Dr. Nanda is well-regarded internationally and has been actively involved in various prestigious conferences and workshops as a plenary speaker, invited speaker, and guest of honor.Her dedication to the field is evident from her active participation as a reviewer and editor in numerous international journals. Dr. Nanda’s expertise extends to the Internet of Things (IoT) domain, where she has contributed as a reviewer for IoT books published by Wiley. Her accomplishments have been widely recognized and celebrated. She received two Best Paper Awards in the research sector in 2015, in Pune, Maharashtra, India, and Kuala Lumpur, Malaysia. Dr. Nanda was honored with the IIWA-2020 award for Best Women Performer of the Year 2020 by the GISR Foundation in Noida, India, and also received accolades from the South-Central Railway Women Union in Vijayawada on International Women’s Day, March 8,2020.

Short Bio:

Dr. Anchit Bijalwan is an academician, researcher, consultant, and mentor with 18 years of teaching experience for graduate, and postgraduate students, and Ph.D. He successfully completed many projects and guided Masters and Ph.D. students. Currently, he is working with the School of Computing and Innovative Technologies, at British University Vietnam and working as an Adjunct Assoc Professor with Arba Minch University, Ethiopia. He worked as an Associate Professor at the Faculty of Electrical and Computer Engineering at Arba Minch University, Ethiopia, and at Uttaranchal University, India as a Head of the Department.

Dr. Anchit has authored two books “Advanced Java Programming” and “Network Forensics: Privacy and Security”. He has also published more than fifty research papers in reputable international journals and conferences and has also been involved in many funded projects. His specialization is in Privacy & Security. He has chaired the technical sessions for IEEE, ACM and Springer conferences, and he is also a committee member for umpteen conferences.

Abstract:

Effectiveness of deep learning models to measure retinal nerve fiber layer (RNFL) thickness from optical coherence tomography (OCT) scans of patients with epilepsy. Traditional methods for OCT scan segmentation exploit a supervised learning paradigm, so they (a) require large volumes of data for their training, and (b) assume fixed (static) network weights once the training procedure has been completed. Recently, to overcome these difficulties, few-shot learning (FSL) has been introduced as a general concept of network model training using a very small amount of samples. In this paper, we explore the efficacy of few-shot learning in CNN architectures, allowing for a dynamic fine-tuning of the network weights as new few samples are being fed into the CNN. Experimental results indicate improvement in the segmentation accuracy. The training/validation dataset included 550 RNFL OCT B-scans from 200 eyes (60 eyes of epileptic patients, and 140 control eyes). 50 RNFL OCT scans. Performance of our algorithm was evaluated on 194 OCT B-scans from 70 healthy eyes, 82 scans from 28 epileptic eyes. Results were compared to manual segmentation as a ground truth and to RNFL calculations from the built-in instrument software. The mean average RNFL thickness using our custom CNN was not different from the manually segmented best estimate and OCT machine data in control and epileptic eyes. In epileptic eyes, while the mean average RNFL thickness using our custom CNN algorithm was not different from the manual segmented value, the OCT machine data were different from the manual segmented values. The proposed Few shot custom CNN achieved an accuracy of 91% followed by Custom CNN which achieved an accuracy of 86%. Therefore, the few-shot Custom CNN model improved the segmentation performance over the OCT scans.

Keywords:
Deep learning; Few-shot learning; Segmentation; OCT images; Epilepsy

Abstract:

Methylene blue (MB) dye is commonly used in the textile industry because of its low cost and abundance properties. Nevertheless, the disposal of MB wastewater can cause environmental pollution and disrupt the ecosystem life. To overcome this problem, biodecolorization by using microorganisms such as Pseudomonas aeruginosa bacteria is one of the best methods for dye removal. P. aeruginosa can be immobilized on sodium alginate-polyvinyl alcohol (SA-PVA) matrix to enhance its capability to decolorize dye. The SA and PVA are well-known as good materials for immobilization. The beads of SA-PVA@P. aeruginosa used in this study were prepared through a cross-linking process with CaCl2 and boric acid as the cross-linking agents. This study aimed to investigate the effect of boric acid composition as an additional cross-linking agent in the SA-PVA matrix on Pseudomonas aeruginosa’s ability to degrade MB through immobilization. The peaks of many constituents of the beads existing in FTIR spectra indicated that the cross-linking process in the bead fabrication was successfully done. The result showed that the most optimum percentage of MB decolorization by P. aeruginosa immobilized in SA-PVA matrix was 86.252% which was obtained in the beads cross-linked by using CaCl2 and boric acid composition of 4:5, followed by 4:7 (83.619%), 4:3 (81.022%), 4:1 (79.212%), and 4:0 (77.140%). In addition, the temperature and time incubation study obtained that the most optimum MB decolorization percentage was reached at 40 °C and 24 hours incubation time.

Keywords:
Biodecolorization, Boric acid, Methylene blue, Pseudomonas aeruginosa

Abstract:

This study introduces an electrochemical sensor design for detecting nitrite ions utilizing WO3 modified Au electrodes. The sensor performance was conducted using cyclic voltammetry with a potential range of -0.2 to 1.1 V at a scan rate of 100 mV/s in PBS containing nitrite standard solution. The WO3-modified Au electrode exhibited a well-resolved oxidation peak of 40 mg/L nitrite at 0.83 V, whereas no obvious peak current appeared at the bare Au electrode. The voltammogram curve acquired for different nitrite concentrations of 0, 5,40,200 in PBS pH 7 displayed that there is no peak observed in the absence of nitrite. Meanwhile, the anodic peak increased with a higher concentration of nitrite, indicating that the observed peak is indeed the anodic peak of nitrite. Ascorbic acid, the major interference component in food additives, did not show any redox peaks in the potential range of nitrite oxidation, indicating a good electrode selectivity toward nitrite. The experimental results show the applicability of the fabricated sensor for nitrite determination

Keywords:
Tungsten trioxide, Modified electrode, Electrochemical sensor, Nitrite

Abstract:

Bihar is the land of rivers. Whole state is divided into north and south Bihar. North Bihar comprises of numerous rivers and aquatic diversities as compared to the south Bihar. In this 21st century, everything is running around the modernization. For all the self-comforts people harm the nature by various anthropogenic ways. River is also affected by these. The present study was undertaken to represent the types of anthropogenic activities that are directly associated with the decline of river water quality and the fish biodiversity of the river Gandak at Hajipur, Bihar. It flows between Vaishali and Saran district and a huge population resides at the bank of the river. The survey was conducted from July 2022 to June 2023 and data were collected from primary and secondary sources. The Survey concentrates on the availability of present fish biodiversity as well as conservative status globally. A total of 39 individual fish species were identified that belonged to 18 family, 29 genus and 39 species. Cyprinidae family (61.11%) was dominating followed by Bagridae family (27.78%). 79.4% are LC, 10.25% are VU, 5.12% are NT and 5.12% are EN. Physicochemical parameters of different seasons were analysed that showed variations in river water quality and fish availability. All these data will be helpful in development, preservation, conservation for the fish biodiversity of river Gandak.

Keywords:
Gandak river, fish biodiversity, physicochemical parameters, anthropogenic Activity.

Abstract:

In high-rise buildings, variable configurations in the vertical structural elements may arise according to the functional requirements. To compensate for such discontinuities, a transfer floor is provided. A transfer floor is used to convey vertical and lateral loads between upper and lower storeys. A major drawback in the system is the change in the lateral stiffness of the building at the transfer floor level. This may lead to the formation of soft storey under moderate to severe earthquakes. There are two different transfer floor systems namely transfer girders and transfer slabs. Transfer girders system has proved to be more flexible than the slab system. But the transfer slab needs to be adopted in certain cases according to the configuration and many other factors. This paper is an attempt to compile the works carried out on high rise buildings with a transfer floor system.

Keywords:
Transfer Floor, Transfer Slab, Transfer Girder, High-rise buildings

Abstract:

India is primarily an agricultural nation; food production and economic activity are heavily reliant on the Indian summer monsoon. In recent years, there has been a lot of focus on the influence of land-atmosphere interactions on climatic variability. Surface energy fluxes are critical for a wide range of applications at various geographical and temporal dimensions. The unbalance is caused by incorrect assumptions either or measurement mistakes. As a result, understanding the quality of observed fluxes and surface energy balance is critical before employing them in land-atmosphere models. Therefore, to understand these process, ISRO 10-m Agro-Meteorological Stations (AMS) have been upgraded with eddy covariance (EC) systems in Indo-UK INCOMPASS project on a range of surface types such as rice-wheat semi-arid agro- ecosystem in Nawagam, Gujarat (22.79 0 N,72.57 0 E) and arid grassland system in Jaisalmer, Rajasthan (26.99 0 N,71.31 0 N). The present study has brought out the results of analysis of high- frequency 20 Hz measured data on sensible (H) and latent heat fluxes (LE) from EC systems, net radiation (Rn) data and modelled soil heat flux (G) data for the period of June 2016 to March 2020. The Energy Balance Closure (EBC), computed as percent of ratio between difference of net available energy (Rn-G) and sum of H and LE, found to be in range of 9%, 28% and 19% during pre-monsoon, monsoon and post monsoon respectively at Nawagam. In contrast non- closure was found to be in range of 12%, 20% and 11% during pre-monsoon, monsoon and post monsoon respectively at Jaisalmer. The energy balance partitioning dominated in LE component (39-56%) at Nawagam, in contrast to 5-15% contribution in LE component at Jaisalmer. This could be due to having low vegetation growth, as exemplified through seasonal dynamics of LAI, vegetation index, Net Ecosystem Exchange (NEE) of CO 2 . The major portioning in Jaisalmer was found in H component (50-60%). These data will be used to quantify the impacts of the atmosphere on the land surface, and vice versa, and to study errors in general circulation models in the coupling of land and atmosphere.

Keywords:
INCOMPASS; Energy Balance Closure; Eddy covariance; Land-atmosphere coupling

Abstract:

Adsorption mechanisms is related to wear rates and scar. The main contributor of these problems is adsorption of liquid on solid surfaces. However, these problems have yet to be explained in the aspect of liquid orientation. Thus, this study investigates the adsorption mechanisms of butane and pentane in contact with face- centered cubic (FCC) lattice of (110), (100) and (111) surfaces, using molecular dynamics simulations. A constant temperature system will be applied to the system and the adsorption mechanism is explained using structural quantities. The results shows similar trends where a large adsorption of liquid appears on the solid surfaces and the liquid orientation is in parallel with the solid surfaces. However, the differences appear in the peak height of the adsorption of liquid for the systems. It is found that, (111) exhibits the highest adsorption of liquid near the solid liquid interfaces. Whereas, in terms of elongation of liquid alkanes (110) surface shows large elongation value in the x-directions. From these findings, it suggests that the alkane liquid is adsorbed on the solid surfaces that decreases with the increase in liquid molecule length. Furthermore, the surface structure of the solid influences the orientation of liquid on the solid surface.

Keywords:
liquid adsorption, molecular dynamics simulation, solid-liquid interfaces.

Abstract:

This study presents a comprehensive evaluation of the photocatalytic performance of silver-decorated graphitic carbon nitride/titanium dioxide (Ag:TCN) nanocomposites, synthesised using three different semiconductor composite preparation methods: drysolid state, wet-solid state, and in-situ solvothermal synthesis, followed by photodeposition of Ag nanoparticles. The photocatalytic capabilities of the nanocomposites were evaluated under photodegradation of Reactive Red 4 (RR4) dye. Among the three synthesis routes, wet solid-state synthesised TCN (WTCN) exhibited the highest photocatalytic efficiency, as evidenced by a notably high photodegradation rate of 0.0881 min-1 . Moreover, Ag:WTCN with an optimum Ag loading of 300 ppm showed exceptional photocatalytic performance compared to its counterparts prepared via dry-solid state and in-situ solvothermal synthesis with photodegradation rate of 0.1052 min-1 . The synergistic benefits of the coupling semiconductors were boosted by Ag's ability to create an effective Z-scheme heterojunction along with the Schottky barrier and surface plasmon resonance effects. The presence of Ag was confirmed through XRD, ICP-OES and FESEM-EDX analyses. The photocatalytic enhancement was further proven through several advanced characterisation techniques, including UV-Vis DRS. This research provides insights into different TCN synthesis methods and their positive impact on Ag doping, advancing sustainable photocatalytic materials for treating dyecontaminated wastewater.

Abstract:

Utilizing semiconductors for photocatalysis shows the potential for degradation of environmental pollutants. However, widely employed photocatalysts like titanium dioxide (TiO2) remain ineffective in visible light conditions. This study focuses on synthesized a remarkably effective heterojunction catalyst that responds well to visible light based on graphitic carbon nitride (g-C3N4), platinum (Pt), and titanium dioxide (TiO2). In this work, the TiO2/g-C3N4/Pt heterojunction photocatalyst was designed through the hydrothermal method followed by calcination using urea, chloroplatinic acid, and titania as precursors. The prepared samples were characterized by XRD, FTIR, FESEM, and UV-Vis DRS techniques. The photocatalytic efficiency of heterojunction photocatalyst was investigated through the discoloration of reactive red 4 (RR4) dye under visible light irradiation. The TiO2/g-C3N4/Pt heterojunction exhibited higher photocatalytic performance of decomposition RR4 dye than pure g-C3N4 and TiO2 about 98.26%, 72.68%, and 88.51% in 20 min respectively. The pseudo-first rate constants for RR4 degradation on heterojunction TiO2/g-C3N4/Pt photocatalyst were 0.1929 min-1 which is 4.18 and 3.07 times of bare g-C3N4 and TiO2. The photoluminescence study, amount of generated hydroxyl free radicals and electrochemical confirmed the improvement in electron-hole pair separation and the formation of the Z-scheme heterojunction configuration. These discoveries might contribute to the development of active substances for water treatment in organic solutions.

Abstract:

Energy, this vital entity that we need, and that everyone consumes and liberates, in different forms, has been since the dawn of time the greatest concern of the human being. Over the centuries, energy has transformed lifestyles in all societies of the world, contributing to the emergence of new cities and major cosmopolitan cities. Scientific research has contributed to much of this extraordinary advance of energy in the conquest of the world, thanks to the many works and discoveries of scientists from the golden age of Islamic civilization to the renaissance in Europe, to the great technological revolution that has emerged in the North and in the South. The continuous need for energy has always been the main driver, for various discoveries, whether related to energy matter or those related to energy reactions. Between pure matter and an active reaction, energy has become the focus of several hybrid studies, manipulating energy as a source on the one hand, and as a finished product on the other. While most of the work carried out on the electric current, during the first years of the 17th century [1], showed the precariousness of the materials as regards their conductivity, the arrival on the scientific scene of new chemical elements, discovered then around the 18th century, have strengthened the quality of the works and consequently the improvement of the electrical productivity in the world. Nuclear energy will suffer the same fate of development as that of electrical energy, passing through critical periods, especially those relating to the discovery of high-activity materials [2]. Nevertheless, the arrival at the beginning of the 18th of the famous formula of Albert Einstein on relativity, (E= mc2) [3], put an end to the major concerns of scientists on energy, to know finally, the nature and value of the energy compensation of the material during its activity. We, in turn, consider that Albert Einstein’s formula is not sufficient to decipher the true energetic reality of matter. Our work is a re-shaping of the relativistic formula, not only from the physical point of view but also from the mathematical point of view. As a result, our contribution to this restoration pleads for a new apprehension of the atom as an «original copy of the universe» which has an infinity of nanoscopic particles, which remain active within matter, chemically active and physically metastable. This extrapolation of the relativistic formula will recognize to energy the other side of its independence from matter.

Keywords:
Relativity, Thermodynamics, nanotechnology, energy, the black nano holes.