Research Articles/ Conferences

Permanent URI for this collectionhttp://192.168.24.11:4000/handle/123456789/58

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3D Improve Zero Memory Set Partitioned Embedded BloCK Coding Algorithm for Hyperspectral Image
(The Institute of Electrical and Electronics Engineers, Inc., 2026) Purushottam Lal Nagar, Shrish Bajpai, Naimur Rahman Kidwai
Hyperspectral imaging maintain a crucial role for the remote sensing technologies. But, the amount of image data produce by the image sensors is huge, thus handling of this image data become an issue with the sensor and it’s performance. A compression algorithm is required to save the sensor memory, reduce data complexity and improves sensor performance. In past, many compression algorithms had been proposed but transform based compression algorithms performed better than other type of compression algorithms such as embeddedness, high coding efficiency and low coding complexity. Wavelet transform based compression algorithm has low coding memory and 3D Zero Memory Set Partitioned Embedded bloCK (3D-ZM-SPECK) achieve zero coding memory but has slightly low coding efficiency. To obtain higher coding efficiency, present compression algorithm is an advance version of 3D-ZM-SPECK which exploits spectral redundancy to achieve the high coding efficiency. It has been noticed from the simulation results on two different images that present compression algorithm high coding efficiency (∼4% to 5%) and zero coding memory requirement.
A Brief Review on the Exploration of Nanocomposites and Their Properties Through Computational Methods for Biological Activity Evaluation
(MDPI, 2025) Nashra Fatima,Ekhlakh Veg, Tahmeena Khan
This brief review examines the application of various computational approaches to investigate the physicochemical and interfacial properties of nanocomposite systems. Density functional theory (DFT), a quantum-mechanical technique, examines the fundamental properties of nanomaterials. Molecular docking studies have also been explored to show how different biological macromolecules can interact and bind with the nanoparticles (NPs’) surface, along with the molecular dynamics (MDs) simulations, which further strengthen the docking findings. Furthermore, nanotoxicology, a comparatively less explored field, has also been introduced, providing an insight into the interactions between nanomaterials and the environment and biological systems, including the harmful consequences.
A Review on Detection of Species Extinction Risk Through Artificial Intelligence
(Vivekanandha Arts and Science College for Women, NH-47, Salem-Kovai express highway ,Veerachipalyam, Sankagiri - west(Po.),Sankagiri (Tk.), Salem (Dt.), Tamilnadu – 637 303, India, 2026) Mohammad Usama, Irfan Aziz
Species extinction is a major concern for sustenance of ecosystem and its conservation.Species are exposed to different levels of threats due to over exploitation, habitat loss, climate change, introduction of invasive species, genetic assimilation and pollution. These challenges ultimately lead to complete disappearance of species from the face of the Earth, known as the extinction of species. With the advent of artificial intelligence, interest in stimulated in assessment of risk to species. These risks or threats responsible for species extinction can now be detected by automated analysis of vast and complex ecological datasets. This helps in real time monitoring and tracking of endangered animals. Computer vision, machine learning, and acoustic sensors are employed in detection of species extinction risk. Artificial intelligence process camera trap footages, images and audios for tracking population of species, identification of threats such as poaching and prediction of habitat loss. AI algorithms are able to detect, in real time, hunting activities, forests fires and distress in animals., requiring immediate intervention. Machine learning models help in predicting species extinction risk by analyzing ecosystem interactions and helping in preventing extinction cascades. AI models are able to connect field data with satellite imagery for generating maps indicating likelihood of habitat availability for endangered species. Automated Wildlife Monitoring Platforms such as Conservation AI and Wildlife Insights are employing models such as SpeciesNet for analyzing millions of images and videos from drone and camera-trap footages. This automation can identify species with an accuracy of around 99%. AI tools such as Perch analyze soundscapes for identification of rare species and can monitor health of biodiversity through bird calls.
A Review on Major Phytochemicals Benefits for Environment & Human Health
(Vivekanandha Arts and Science College for Women, NH-47, Salem-Kovai express highway ,Veerachipalyam, Sankagiri - west(Po.),Sankagiri (Tk.), Salem (Dt.), Tamilnadu – 637 303, India, 2026) Irfan Aziz, Mohammad Usama
Phytochemicals are bioactive compounds present in plants. These include carotenoids, polyphenols, flavonoids, isoprenoids, polyphenols, and carotenoids. Scientific studies have established a relationship between the consumption of phytochemicals and its beneficial impact on human health. They play a major role as antioxidants, anti inflammatory agents, modulating metabolic functions and as immune boosters. They are helping in mitigating oxidative stress and prevention of diseases such as diabetes, obesity, cancer and cardiovascular problems. Nowadays, foods containing phytochemicals are also used as a constituent i.e. functional foods and the concentrated form of phytochemicals i.e. nutraceuticals are used as a preventive measure or cure for many diseases. The health benefits of these phytochemicals depend on their purity and structural stability. This is the reason for popularization of these phytochemicals in nutraceutical industry. Phytochemicals are also reported to be used in environment as an eco-friendly pest control, bioremediation, and for understanding plant adaptation to climate change.
A study on Depression, Anxiety, Stress, Resilience, and Sleep Quality among Physicians working with COVID’19 Cases in India
(INTERNATIONAL JOURNAL OF INNOVATIVE RESEARCH IN TECHNOLOGY, 2025) Ananya Mishra, Jyotsana Shukla
Abstract—This research aimed to study and compare the levels of depression, anxiety, stress, resilience and quality of sleep in Physicians Working with COVID’19 cases and Physicians working with Non COVID’19 cases in private and public hospitals in Lucknow city, India, during the COVID'19 pandemic. Data was collected via Google Form. Participants were required to fill out demographic datasheet and answer standardized questionnaires on depression, anxiety, stress, resilience and quality of sleep. Purposive sampling method was used. Interestingly, no significant difference was found between the two groups on the depression, anxiety, stress, resilience and quality of sleep. However, mean scores indicated that Physicians Working with COVID’19 cases experienced more anxiety, stress and a poorer sleep quality as compared to Physicians working with Non COVID’19 cases. Those physicians who worked with COVID’19 cases scored higher on resilience and lower on depression as compared to those physicians who were working with Non COVID’19 cases. The reasons could be that the former developed more resilience in order perhaps due to the support available from the trained staff, appropriate security/safety measures, family support and teamwork. The variables that would contribute to their better mental health need to be further explored so that the Physicians’ mental health can be further promoted through relevant interventions and psychoeducation, during challenging times such as the COVID’19.
A study on perceptions and practices of STEAM-based education with university students
(Social Sciences & Humanities Open, 2024) Manisha Singh
The present survey-based study was conducted with (n = 317) university students in Lucknow city of India to examine their perceptions and practices about Science, Technology, Engineering, Arts, and Mathematics (STEAM) education. The data was collected from students belongingto different academic streams including Science, Economics, Arts, Engineering, Architecture, Computer Sciences, and Business and Management etc. from different higher educational institutions of the city. The snowball sampling method was adopted for the study. A tool in the form of a 5-pointer rating scale with three categories viz. Awareness, Perception and Implementation along with two dimensions in the Awareness category, four dimensions in the Perception category and one dimension in the Implementation category was constructed to collect data with a total of 23 items which were related to majorly three mentioned categories and demographic information. Frequency data analysis and the Kruskal-Wallis H test were used for analysis. The findings showed that most students hold a positive perspective towards the advantages of STEAM in their learning process. Still, despite the positive perspective, significant differences in the perception and implementation category of STEAM-based education was seen. The teaching-learning process is not planned as per STEAM education and classroom teaching lacks in in-cooperating STEAM. A significant difference was observed in the perception and implementation of STEAM-based education. The study showed that more than 70 per cent of the students believed that STEAM-based Education may enhance deeper understanding, constructivist approach, professional efficiency and critical thinking. The findings also highlighted the positive role of STEAM Education in infusing aesthetic elements and holistic approach in students.
Advances in MOF Fabrication Techniques: Tuning Material Properties for Specific Applications †
(MDPI, 2026) Deepanjali Bisht, Satya Satya, Tahmeena Khan, Seema Joshi
Metal–organic frameworks (MOFs), a class of porous crystalline materials, consists of metal ions or clusters coordinated to organic linkers. The unique features of MOFs such as exceptionally high surface area, chemical versatility, and tunable porosity make them highly suitable for several applications, including gas storage, drug delivery, catalysis, and sensing. Various synthesis techniques, including solvothermal, hydrothermal, microwave-assisted, mechanochemical, electrochemical, and sonochemical methods, have been used for the fabrication of MOFs. The selection and optimization of synthesis technique significantly influence the fundamental framework structure, the existence of defects, the available active sites, and the effectiveness of MOFs in special applications. This study focuses on advances in MOF fabrication techniques and examines their role in tuning the key properties of MOFs for targeted applications. The insights of this work may guide researchers in selecting or designing appropriate fabrication strategies for application-specific development of MOFs.
AI Technology and Ethical Dilemmas
(Shanlax Publications, 2025) Intezar Mahdi, Nazish Siddiqui
As Artificial Intelligence (AI) continues to reshape industries and societies worldwide, it simultaneously raises pressing ethical concerns that demand critical examination. This paper investigates key ethical dilemmas emerging from the deployment of AI technologies, drawing on recent research, global reports, and real-world case studies. It begins by framing the foundational principles of AI ethics, then explores concerns around privacy erosion and mass surveillance enabled by AI systems. The study examines the societal risks posed by deepfakes, digital manipulation, and the spread of misinformation, alongside unresolved challenges in intellectual property rights in the context of AI-generated content. The implications of AI for employment—particularly job displacement and algorithmic hiring practices—are analyzed through the lens of fairness and accountability. Environmental sustainability is also considered, with data highlighting the substantial resource and energy demands of AI infrastructure. Further, the paper addresses how reliance on AI may suppress creative human thinking and how machine learning models can perpetuate and amplify existing social biases. The analysis underscores the urgent need for globally coherent regulatory frameworks and ethical guidelines to ensure that AI development aligns with human values, equity, and ecological responsibility. This work contributes to the growing discourse on responsible AI by offering interdisciplinary insights and policy-oriented recommendations for more ethical and sustainable AI integration.
AI-Powered Robotics: Opportunities, Challenges, and Future Directions
(SFE-International Conference, Puri, India, 2025) Intezar Mahdi, Nazish Siddiqui
Artificial Intelligence (AI)-powered robotics is rising as one of the most transformative technologies of the twenty-first century, reshaping industries and redefining human–gadget collaboration, by integrating superior AI strategies with device mastering, deep learning, natural language processing, and pc imaginative. Present-day AI-driven robots show adaptability, self- reliant decision-making, situational consciousness, and interactive intelligence, enabling them to characteristic in complex and dynamic environments. Those advancements have created incredible opportunities in various domains, inclusive of healthcare, where surgical robots and assistive devices improve precision and patient care; production and logistics, where collaborative robots (cobots) and independent structures decorate productivity; agriculture, where AI-powered drones and robots optimize crop monitoring and yield prediction; and transportation, in which self-riding motors promise more secure and more green mobility. Despite those possibilities, tremendous challenges continue to be those that avert large-scale adoption. Ethical and societal issues, which include privacy violations, job displacement, and accountability in case of disasters, pose principal hurdles. Furthermore, the absence of frequent regulatory and criminal frameworks complicates the deployment of clever robotics on an international scale. Addressing those demanding situations requires multidisciplinary collaboration across pc technology, engineering, regulation, ethics, and social sciences. This paper presents a complete evaluation of the opportunities, demanding situations, and destiny guidelines of AI-powered robotics, emphasizing the need for responsible innovation and sustainable integration into everyday life.
Antitubercular Potential of Bioactive Phytoconstituents from Andrographis Paniculata: Targeting DprE1 of Mycobacterium Tuberculosis
(Zenodo, 2026) Samar Mujeeb1, Farhat Aisha Ansari
Tuberculosis (TB) remains one of the leading infectious diseases worldwide, and the emergence of multidrug-resistant strains has intensified the need for novel therapeutic agents. Medicinal plants continue to provide structurally diverse bioactive molecules with significant drug discovery potential. Andrographis paniculata (Kalmegh) is widely recognized for its antimicrobial and immunomodulatory activities and may represent a promising source of antitubercular lead compounds.
APPLICATION OF NANOTECHNOLOGY IN FOOD PROCESSING AND PACKAGING
(RESEARCH PROCEEDINGS OF INTERNATIONAL FORUM TASHKENT,, 2023) Sabeeha Jabeen, Shashi Bala, Abdul Rahman Khan, Tahmeena Khan
Nanotechnology comprises the wide-ranging application in food industries, such as packaging, and processing of food materials at the nanometer scale. The exploration of nanostructured materials in food industries are continue for processing and packaging purposes. Existing finding methods for food processing and packaging are expensive and time-taking and needs innovative technologies. Novelties in, nano-processing, and nano-packaging, are the current developments in the food sector. The amalgamation of nanotechnology with the food engineering industries and food packing industries now improved the excellence of foodstuff. The newest noteworthy investigation and improvement in the application of nanostructured-dependent packing of food items and processing is an antimicrobial application to detect spoilage and prevent food. Nanostructured materials are now striking findings in food packing systems as their enhanced useful properties like mechanical strength and barricading properties even own antimicrobic and antioxidant actions to preserve the excellence and range the shelf life in numerous food applications. Numerous nanostructured materials (silicate nano clay, metal oxide nanostructures, and polymer-based nanocomposites) are now involved in food packing systems. This Article will highlight the current nanostructured material in packaging and food processing applications together with food safety.
Assessing the Impact of Human-Induced Disturbances on the potential Biomass and Carbon content in two wildlife sanctuaries of Uttar Pradesh, India
(EM International, 2024) Azram Tahoor, Azra Musavi, Jamal Ahmad Khan
This research paper presents a detailed analysis of biomass assessment of woody species in Katerniaghat and Kaimoor Wildlife Sanctuary situated in Bahraich and Mirzapur district of Uttar Pradesh. Through a reconnaissance survey, area was stratified into high, medium and low disturbed site based on the presence of human induced disturbance indicators. Circular plot method of 10m radius was used for vegetation assessment. Data on vegetation like woody species name, number of individuals, Girth at Breast’s height were recorded. Biomass and carbon stock of tree species was calculated from each stratified site of both sanctuaries. The finding of the study showed that highest biomass was estimated from high disturbed site of Katerniaghat. In Kaimoor, medium disturbed site showed maximum biomass. The present study aims to provide a comprehensive understanding of its carbon stock and sequestration potential. Biomass assessment is crucial for sustainable forest management and climate change mitigation strategies. Our findings reveals the negative impact of varying levels of anthropogenic disturbance on the forest biomass of both protected areas and help in better understanding of conservation and management and forests and carbon offset initiatives.
Balancing Faith and Learning : A Systematic Review on Faith-Based Curriculum in Catholic Schools
(TPM(Testing, Psychometrics, Methodology in Applied Psychology), 2025)
Education in Catholic Schools uses faith-based approaches to nurture students morally, intellectually, and ethically for their holistic growth. Catholic Education aims at nurturing the student from all backgrounds, combining faith with schooling. Such an approach also tries to deal with opposing secularization, lack of trained staff, and teacher training constraints alongside dealing with contemporary education challenges.Teaching from a faith-based educational approach is examined and so are the challenges involved through the learner focusing on the moral and character development, teacher perception, and student perception in the Catholic School context. This review literature is comprehensive and employs the PRISMA framework to identify relevant studies focused on the outcomes of a faith-based approach to education in Catholic schools. We searched between 2004-2024 across multiple databases, including J Gate, JSTOR, Science Direct,ScopusProQuest. Initially, 968 studies were obtained, and after screening titles/abstracts, applying eligibility criteria, and assessing full texts, 26studies were selected for detailed analysis.
Behavioral Change Strategies for Promoting Sustainable Clothing: Overcoming Barriers
(SAAR Publications, 2026) Jyotsana Shukla
In recent times, fashion has captured the imagination of young and old alike. We are today living in a world where fast fashion is something we all like to follow. The traditional and minimalist thinking in the context of fashion, has given way to the thinking that “the more the better” and to some extent to “hoard as much as possible”. Thus, the paper discusses how, globally, the fashion industry contributes immensely to environmental pollution and degradation. It also elaborates on how it leads to social inequalities. There is an urgent need to pay attention to sustainable fashion and clothing culture. One also realises that there are many barriers which come in the way of adapting sustainable clothing practices. There is wide gap between the attitude towards sustainable clothing practices and actual sustainable clothing actions. The present paper elaborates on these barriers that obstruct the behavior intended toward sustainable fashion. The paper draws on textile technology, environmental psychology, consumer behavior, and sustainability research to explore the barriers and the choices that are available to us for sustainability in the fad mad world. The paper delves on barriers such as costs, pricing, accessibility, psychological resistance, green washing, etc. The paper emphasises strategies at the policy level, institutional level, community and individual levels, to bring long lasting behavioral change in all the stakeholders in the fashion world. This will lead to making sustainable and environment friendly clothing a part and parcel of fashion industry. The textile engineers, textile manufacturers, textile designers, the consumers and the society, all need to make sustainable fashion the preferred fashion by choice.
Behavioural Biases of Gen Z and Millennial Investors: A Review of Risk Perceptions and Decision-Making in Financial Markets
(Shodh Sandarsh, 2025) Mohd Faiz Khan, Shujauddin Khan
This study provides a comprehensive analysis of the behavioural biases influencing Generation Z and Millennial investors, emphasizing their distinct risk perceptions and financial decisions in contemporary markets. In contrast to traditional investors, these generations exhibit significant digital exposure, reliance on FinTech platforms, and heightened social influence, which amplify cognitive and emotional biases. The paper highlights key biases such as overconfidence, herding, loss aversion, anchoring, confirmation bias, disposition effect, and mental accounting, examining their impact on portfolio decisions, trading frequency, and long-term investing success. The influence of social media, gamification in investment applications, and peer-based financial communities on altering risk perceptions is particularly noteworthy. Evidence suggests that while younger investors exhibit a greater propensity for adopting novel financial products and demonstrate higher risk tolerance, they remain significantly susceptible to behavioural biases that may distort rational decision-making. This research contributes to the growing body of literature on behavioural finance by synthesizing evidence regarding investment psychology across generations and offers implications for policymakers, educators, and financial institutions to formulate targeted interventions that foster informed and resilient investing behaviours among future generations.
BEYOND BARRIERS: A TAPESTRY OF PEDAGOGICAL STRATEGIES FOR INCLUSIVITY AND SUSTAINABLE PROGRESS
(International Journal of Emerging Knowledge Studies, 2024) Dhriti Tiwari
In an ever-evolving landscape of education, the imperative to foster inclusivity and sustainable progress stands as a foundational challenge for educators worldwide. The present age, marked by an unparalleled range of differences, educators are faced with the task of adapting their methodologies to accommodate the distinct requirements and inclinations of a diverse student population. Concurrently, the increasing worldwide demand for sustainable practices underscores the imperative to incorporate environmental consciousness and responsible civic engagement into the core of educational systems. This research article explores innovative educational approaches that go beyond traditional boundaries to foster comprehensive and long-lasting progress. It examines the integration of differentiated instruction, universal design for learning, and collaborative learning in a harmonious and inclusive learning environment. The study also explores a tapestry of pedagogical approaches for accommodating diverse learning needs and addressing 21st-century challenges. Cultural responsiveness, environmental education, and technological integration are key to sustainability and inclusivity. The research shows that these pedagogical practices can change education for the betterment of students and the world.
Computational Studies of Thiosemicarbazone-Based Metal Complexes and Their Biological Applications
(MDPI, 2026) Kulsum Hashmi, Satya, Priya Mishra, Ekhlakh Veg, Tahmeena Khan, Seema Joshi
Thiosemicarbazones are known for their versatile coordination behavior and wide-ranging applications in the field of materials science, catalysis, and medicinal chemistry. Several investigations have reported on the biological potential of transition metal complexes of TSCs. In addition, the structural, electronic, and reactive properties of these complexes are explored through computational studies using molecular docking and density functional theory (DFT). Such investigations not only support the interpretation of experimental results but also influence synthetic design by predicting the structural behavior of the complexes. In this study, we explore the computational studies of thiosemicarbazone metal complexes along with their biological activities.
Contourlet Transform Based Listless Block Cube Tree Coding for Hyperspectral Images
(IEEE, 2026) Shrish Bajpai, Divya Sharma, Naimur Rahman Kidwai
The performance of compression algorithms at low bit rates is a critical benchmark, particularly for hyperspectral imaging where the fidelity of reconstruction is paramount. Although wavelet-based approaches are prevalent in the literature, they frequently present a trilemma of undesirable trade-offs, suffering from insufficient coding efficiency, exorbitant memory requirements, or high computational overhead. The proposed compression algorithm employees advance wavelet transform to leverage both spectral and spatial redundancies found in HS data cubes. Present study explores the utilization of block tree coding algorithm and contourlet transform to compress HS images. The primary goal is to enhance the coding efficiency while minimizing storage and transmission requirements. The proposed compression algorithm is evaluated on four benchmarks against eight state of art other compression algorithms on three performance metrics named coding efficiency, coding memory and coding complexity. In addition, it has low encoding/decoding time than other compression algorithm. From the simulation result, it has been clear that proposed compression algorithm has 2% to 4% increase in coding efficiency compared to the other state of art compression algorithms.
CuO NANOPARTCLES AND THEIR ANTIBACTERIAL ACTIVITY EVALUATION
(Zenodo, 2024) Sabeeha Jabeen, Ekhlakh Veg, Shashi Bala, Seema Joshi, Tahmeena Khan
The development of antibiotic resistance is one of the most pressing problems in global healthcare. Microbial resistance to antibiotics might be combatted by the use metal-oxide-based nanoparticles (NPs). Many studies have shown that Copper oxide nanoparticles (CuO NPs) have potent antibacterial activity against different Gram-positive and Gram-negative bacteria. This review summarizes some recent studies to investigate the antibacterial activity of the CuO NPs fabricated from different strategies, particularly green synthesis which has emerged as an environment-friendly approach for the fabrication of NPs.
EXPLORING THE POTENTIAL USE OF CHALCONES IN AGRICULTURE
(INTERNATIONAL SCIENTIFIC AND PRACTICAL CONFERENCE, 2024) Haroon Ahmad Khan, Saimah Khan
Chalcones are naturally occurring flavonoid compounds and have recently been elucidated to display a vast spectrum of biological activities such as antifungal, antibacterial, herbicidal, and insecticidal activities. Due to their α, β-unsaturated carbonyl system their structure forms a basis for several bioactivities making them ideal in crop protection. This short review aims at discussing modern agricultural application of chalcones including synthesis and biological impact as well as the potential application in the future. As demand for environment friendly approaches to control pests and diseases are on the rise, chalcones offers a good chance of developing green agrochemicals.