International Journal of Scientific Research in Modern Science and Technology
type: channel
description: International Journal of Scientific Research in Modern Science and Technology is an International Open Access, Peer-reviewed, Refereed, Multidisciplinary, Monthly, Multilanguage Online Journal that aims to facilitate the dissemination of high-quality scientific research across various fields of modern science and technology. With a commitment to fostering innovation and advancing knowledge, the journal provides a platform for researchers, scholars, and scientists to share their findings and insights with the global scientific community. ISSN: 2583-7605 (Online) Subject Category: Multidisciplinary Journal Type: International Open Access, Peer-reviewed, Refereed Journal Issue Frequency: Monthly Criteria for Manuscript Submitted manuscripts must be Plagiarism free (Less than 10%). Submitted manuscripts must not contain more than 20% AI-generated content. Manuscript must be original and should not have been published previously anywhere. The writing must be clear, concise and unambiguous. The data should be valid. The discussions and conclusions drawn by the authors must be reasonable and supportable. The information must be relevant and interesting to area of research. For any query or submission, E-mail: editor@ijsrmst.com Mobile: 9415093911 (WhatsApp Only)
publisher: Surya Multidisciplinary Publication
language: en
publication name: International Journal of Scientific Research in Modern Science and Technology
issn: 2583-7605
items: ECONOMIC IMPACT OF NATURAL DISASTERS ON REGIONAL RECOVERY
items: A Qualitative Inquiry into Pedagogical Styles and Teacher–Student Communication in Teacher Education Institutions of Meerut District
items: COST CONTROL AND COST REDUCTION TECHNIQUES IN PUBLIC SECTOR ENTERPRISES: A CASE STUDY OF ITI RAE BARELI UNIT
items: Design of an Attention Monitoring Virtual Classroom, With Retraction Mechanism for Students’ Active Participation
items: Role of Shwadanshtradi Taila in Mutraghata (BPH): A Clinical and Sonological Evaluation
items: INTEGRATED TEACHER EDUCATION PROGRAMME (ITEP): THE PARADIGM SHIFT OF TEACHER EDUCATION IN INDIA
items: Data Privacy while using Social Media Platforms
items: A SMART MICROCONTROLLER BASED AUTOMATED VOICE REMINDER AGAINST ITEMS MISPLACEMENT IN A PUBLIC TRANSPORT
items: Youth Mental Health in the Digital Era: Analysing Challenges, Risk Factors, and Preventive Approaches
items: A REVIEW OF NEONATAL HYPOXIC ISCHEMIC ENCEPHALOPATHY A NEUROLOGICAL DISORDER
items: AI and Inclusive Education: Opportunities and Challenges
items: Impact of Temperature Variations on the Efficiency and Longevity of Photovoltaic Cells
items: Advances in the Synthesis and Pharmacological Applications of Heterocyclic Scaffolds: Benzoxepine and Benzothiepine Derivatives
items: Exploring Reactive Carbocations in Aqueous Microdroplets
items: Rethinking the Evolution of Ageing: From Mutation Accumulation to Social Transfers and Negligible Senescence
items: Analysis of Soret and Dufour Effects on Buoyancy driven MHD Heat Mass Transfer Couette Flow under the Influence of Ramped and Isothermal Temperature settings
items: Applications of Data Science and Analytics in Modern Industries
items: PERSPECTIVES OF TELEMEDICINE: A CROSS-SECTIONAL STUDY ON ASSESSING THE LEVEL OF AWARENESS, KNOWLEDGE AND PERCEPTION OF TELEMEDICINE SERVICES IN EBONYI STATE
items: Dynamic Equipment Prioritization and Automated Three-Phase Power Switching Using IoT and Machine Learning in Critical Infrastructure
items: Intelligent IoT Framework for Power Management and Predictive Maintenance in Critical Infrastructure
items: PERCEPTIVE OF ASSISTIVE TECHNOLOGIES IN INCLUSIVE EDUCATION: AN EXPLANATORY STUDY
items: Application of Nanomaterials for Wastewater Treatment
items: A Comprehensive Review of Design and Evaluation of a Breath-Actuated Inhaler for Technosphere Insulin: Enhancing Glycemic Control
items: A Study on the Use of Social Media Platforms among Gen-Z
items: A Review of Wire Arc Additive Manufacturing
items: Sanitation and Social Stratification: Examining Socio-Economic Factors Shaping Hygiene Adoption Among Rural Women in Bihar
items: A STUDY OF EMOTIONAL INTELLIGENCE AND TEACHING APTITUDE OF SECONDARY SCHOOL TEACHERS
items: DEVELOPMENT OF AN AI-DRIVEN ADAPTIVE LEARNING MANAGEMENT SYSTEM USING DATA ANALYTICS
items: Generative AI and Women Entrepreneurs: A Path to Inclusion
items: AI-powered fraud detection in online banking: Using machine learning to improve security

ECONOMIC IMPACT OF NATURAL DISASTERS ON REGIONAL RECOVERY
type: item
description: Natural calamities have increasingly become a very common event and a source of serious destruction, thus causing huge economic disruptions that are hard to measure and that will take a longer time than the physical destruction to be fully felt. This research investigates the issue of how varied natural calamities differ in their impact on the pattern of economic recovery in the region, depending on the geographical place where such changes are happening. The research team has access to the economic data for the years 2014 to 2024 and the data can include places that have been affected by earthquakes, floods, hurricanes, and droughts, thus mapping the recovery paths, looking at impacts on different sectors, and finding out the factors that contribute to the resilience. They have applied a mixed-methods strategy that involves combining secondary economic indicators with primary survey data collected from around 280 businesses and 320 households in the impacted areas. The research results indicated that there are large differences in recovery periods caused by the type of disaster, the regional economic structure, and the capacity of institutions. The longest recovery periods are observed in case of earthquakes, which on average last 6 to 8 years, while the recovery in regions where floods occurred is fast but partial, taking place within 3 to 4 years. The researchers have pointed out the factors such as insurance penetration, infrastructure quality, government response effectiveness, and pre-disaster economic diversity, and have classified them as determinants of recovery speed and completeness. Among the factors, insurance penetration, infrastructure quality, government response effectiveness, and pre-disaster economic diversity are identified by the researchers as the main drivers of recovery speed and completeness of the affected region. Thus, these results are beneficial for disaster preparedness planning, as well as for the development of economic resilience str…
subject: Articles
  topic: section
creator: Dr. Mukta Chaturvedi
creator: Dr. Anamika Saxena
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-04-30
publication date: 2025-04-30
starting page: 38
ending page: 55
doi: 10.59828/rwkjh096

A Qualitative Inquiry into Pedagogical Styles and Teacher–Student Communication in Teacher Education Institutions of Meerut District
type: item
description: This qualitative study explores the interrelationship between pedagogical styles and teacher–student communication within teacher education institutions in Meerut District, Uttar Pradesh. The research investigates how various teaching approaches, shifting from traditional lecture methods to learner-centred and facilitative models, manifest through verbal, nonverbal, and written communication practices in B.Ed. classrooms. Using a phenomenological case study design, the study draws upon in-depth interviews, classroom observations, and document analysis to reveal how communication patterns shape student engagement, learning motivation, and perceptions of the classroom climate. The findings highlight three overarching themes: the authenticity of communication, the relational dimension of pedagogy, and communication’s role in fostering student agency. The study underscores that effective pedagogical practice is inseparable from the quality of communication and emotional resonance between teacher and learner. The paper concludes with recommendations for enhancing teacher education through reflective communication training, mentorship, and integration of relational pedagogy principles aligned with India’s National Education Policy (NEP) 2020. Keywords: Pedagogical styles, teacher–student communication, qualitative research, teacher education, classroom interaction, Meerut district
subject: Articles
  topic: section
creator: Dr. Richa Rana
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-02-28
publication date: 2025-02-28
starting page: 16
ending page: 23
doi: 10.59828/ijsrmst.v4i2.296

COST CONTROL AND COST REDUCTION TECHNIQUES IN PUBLIC SECTOR ENTERPRISES: A CASE STUDY OF ITI RAE BARELI UNIT
type: item
description: The purpose of the research project named "Cost Control and Cost Reduction Techniques in Public Sector Enterprises: A Case Study of ITI Rae Bareli Unit" is to investigate the methods and procedures that were used by the Rae Bareli unit of the Indian Telephone Industries (ITI) in order to effectively control operational expenses and improve financial efficiency. The management of costs and the reduction of costs have become essential components of organisational sustainability, particularly in public sector enterprises (PSEs), in light of the growing competition, the progression of technology, and the demand to maintain profitability. This research investigates the current cost structure of ITI Rae Bareli, highlighting important cost drivers such as the acquisition of raw materials, the utilisation of labour, the manufacturing processes, and administrative expenditures. According to the findings of the study, there is a distinction between cost management, which is centred on adhering to pre-established standards and budgets, and cost reduction, which is aimed at obtaining lasting savings through better efficiency and innovation. The efficacy of the procedures that are currently being used for cost control is evaluated in this study by collecting data from financial records, conducting interviews with management staff, and analysing production reports. The report emphasises a number of methods that are utilised by the firm, including budgetary control, standard costing, variance analysis, and value engineering, as significant procedures. In addition, the research analyses the ways in which contemporary methods, such as lean manufacturing, process automation, and supply chain optimisation, might further improve cost efficiency. Despite the fact that ITI Rae Bareli has a comprehensive system of cost management in place, the findings show that there is great room for improvement in areas such as the reduction of waste, the utilisation of energy, and the modernisation of…
subject: Articles
  topic: section
creator: Dr. B. K. Dixit
creator: Mr. Govind Shukla
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 40
ending page: 50
doi: 10.59828/ijsrmst.v4i10.384

Design of an Attention Monitoring Virtual Classroom, With Retraction Mechanism for Students’ Active Participation
type: item
description: Using available intelligent virtual classroom systems in teaching a conventional Nigerian undergraduate program comes with a major challenge of managing and monitoring over populated students which gave rise to the development of the Interactive, Intelligent Virtual Classroom. Object-oriented analysis and design methodology (OOADM) was adopted for the study and five modules was developed to achieve the objectives of the design. An Artificial Intelligent model was trained to identify learners’ distraction using body posture, eye closure, mouth opening, and body presence. Captcha mechanism was used to confirm distraction while an automated phone call was used to retract distracted learners back to an ongoing class session. Chat GPT Large Language Model was used through its Application Programming Interface to reenforce learning, provide counselling and generate reports. A firebase real-time database was used to hold the data while a web application was developed for user interface. The system was able to identify distraction and recall learners back to class. It was also able to interact with the distracted learners to gather more information as to the cause of their distraction which it further used to provide informed counselling. Keywords: Attention Monitoring, Automated classroom phone-call, Intelligent Classroom, Learning Enforcement, Classroom Retraction, Virtual Classroom.
subject: Articles
  topic: section
creator: Ekwegh Kelechukwu Chimdike
creator: Igwe Joseph Sunday
creator: Ugah John Otazi
creator: Ogbu Nwani Henry
creator: Chinedu-Eleonu Priscila
creator: Chukwuka Martins Obumneke
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-27
publication date: 2025-11-27
starting page: 11
ending page: 22
doi: 10.59828/ijsrmst.v4i11.389

Role of Shwadanshtradi Taila in Mutraghata (BPH): A Clinical and Sonological Evaluation
type: item
description: Benign Prostatic Hyperplasia (BPH) is one of the most commonly encountered conditions among elderly men, characterized by symptoms such as difficulty in urination, increased frequency, urgency, weak urinary stream, and intermittency. The clinical features of BPH closely resemble Vatashtheela, which is described by Acharya Sushruta as one of the twelve types of Mutraghata, a disorder marked by obstruction in the flow of urine due to a mass or enlargement near the bladder neck. This case report presents a 45-year-old male patient who complained of frequent urination, nocturia, and straining during micturition, and was diagnosed with BPH. After detailed case history and thorough clinical examination, Uttar Basti Therapy (UBT) was administered using Shwadanstradi Taila. The treatment showed notable improvement in both subjective and objective parameters. The therapy demonstrated encouraging results, fulfilling the need for an effective management approach for BPH, which otherwise significantly affects the quality of life and contributes to a considerable socioeconomic burden on the healthcare system. Keywords: Cost Control, Cost Reduction, Public Sector Enterprises, ITI Rae Bareli, Budgetary Control, Value Engineering, Efficiency, Financial Performance.
subject: Articles
  topic: section
creator: Dr. Suraj Kumar Sahu
creator: Prof. Lakshman Singh
creator: Jyoti Yadav
creator: Dr. Lokesh Singh
creator: Dr. Saradhi R.
creator: Dr. Pankaj Kumar
creator: Dr. Rahul Singh
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 34
ending page: 39
doi: 10.59828/ijsrmst.v4i10.386

INTEGRATED TEACHER EDUCATION PROGRAMME (ITEP): THE PARADIGM SHIFT OF TEACHER EDUCATION IN INDIA
type: item
description: Education can be considered as a cornerstone of a progressive nation. It empowers people with knowledge, values and skills that contribute meaningfully towards the growth of a country and teachers are it’s the guiding force. Teachers stand as one of the most essential component of education. Education has shifted from conventional way of teaching to technology-enhanced learning to make learning more accessible and interactive and for ensuring it, a dynamic teacher education programme is crucial. The National Education Policy (NEP) 2020 acknowledges teachers as prime element of quality education and places strong emphasis on teacher education programme. It recommended a four year Integrated Teacher Education Programme (ITEP) to ensure professionally skilled and well-qualified. The Integrated Teacher Education Programme (ITEP) is a four year under graduate programme that prepares teachers for both primary and secondary levels. In a single programme, it ingrates practical training, pedagogy and disciplinary knowledge and provides a holistic training to teacher trainees. The researcher triers to explore the potential opportunities and future prospects of ITEP in redefining teacher education in India and identifies major issues related to it and also provides some suggestive measures regarding it. The researcher has used exploratory approach to collect information from different articles and government documents sourced from various journals and books.
subject: Articles
  topic: section
subject: ITEP, Paradigm-Shift, Teacher Education, NEP2020, Pedagogical practice
  topic: keywords
creator: Urbashi Nandana Devi
creator: Jusmita Konwar
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-11-17
publication date: 2025-11-17
starting page: 01
ending page: 10
doi: 10.59828/ijsrmst.v4i11.388

Data Privacy while using Social Media Platforms
type: item
description: Social Media platform is one of the needs of everyone in today's 2025 digital world. Different social media platforms are available and the number of users are very large on all sites. This indicates that privacy issues are also more when users increase and sensitive information is transferred. This study explains about the Digital ecosystem and types of data, data collection, Data ripple effect and data brokers mainly. Social Media platforms work starts with Data collection and ends with ripple effect and Privacy. Security threats need to be identified and to create awareness about privacy. Study focuses on privacy toolkit, different platforms privacy settings. Recommendation to users, regulators and social media platforms. Keywords: Social Networking Sites (SNS), Data Privacy, Privacy toolkit, Data Collection, Advertising, Digital footprints.
subject: Articles
  topic: section
creator: Dr. Sonali Sagar Gholve
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 27
ending page: 33
doi: 10.59828/ijsrmst.v4i10.385

A SMART MICROCONTROLLER BASED AUTOMATED VOICE REMINDER AGAINST ITEMS MISPLACEMENT IN A PUBLIC TRANSPORT
type: item
description: Hypoxia is a condition characterized by a deficiency of oxygen in the body or a specific organ or tissue, leading to Misplacing invaluable items like phones, wallets, office keys, etc in a public transport is a hurting experience. Most times, passengers misplace or forget their precious items while alighting from a bus. In most cases, other passengers would pick those items and go away with them. Most times the drivers of such vehicles no nothing about the incident but gets to know after the act is over. This is very hurting and most time not easy to bear the loss. Currently in our public transports in Ebonyi State, there is no system installed in a public transport that reminds the passengers to ensure they pick up their items before leaving the bus. Therefore, this work proposes a smart microcontroller based automated voice reminder against mobile phone misplacement in a bus. The system is made up of a touch sensor which is mounted next to each passenger. The passenger will place his hand on the touch sensor once he is seated. As long as he places his hand on that sensor, the microcontroller receives signal to maintain the off state of the voice module. But once the passenger wants to leave the bus and eventually removes his hand from the sensor, the microcontroller receives the signal to turn on the voice module to play a recorded voice. By this, the passenger is reminded to pick up his items. Object Oriented Programming (OOP) method has been adopted in the implementation of this system as it ensures post-maintenance easiness.
subject: Articles
  topic: section
subject: Smart Microcontroller; Automated Voice Reminder; Touch Sensor; Public Vehicle; Neural Network
  topic: keywords
creator: Ogbu Nwani Henry
creator: Eke Vincent O. C.
creator: Chukwuemeka Okpara
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-31
publication date: 2025-10-31
starting page: 13
ending page: 26
doi: 10.59828/ijsrmst.v4i10.383

Youth Mental Health in the Digital Era: Analysing Challenges, Risk Factors, and Preventive Approaches
type: item
description: In the rapidly evolving digital era, youth mental health has emerged as a critical concern shaped by technological integration, social media exposure, and changing patterns of interpersonal relationships. The digital environment offers both opportunities for social connection and risks of psychological distress, including anxiety, depression, and reduced self-esteem. This study examines the multifaceted challenges faced by youth in navigating online spaces, analyses the psychosocial and behavioural risk factors associated with excessive digital engagement, and explores preventive strategies rooted in psychological, educational, and cultural frameworks. Drawing upon contemporary psychological theories and the Indian Knowledge System (IKS) perspective, the paper highlights the importance of digital literacy, mindfulness, and community-based support systems as essential components of preventive mental health strategies. The findings suggest that a balanced approach—integrating self-regulation, ethical media use, and emotional intelligence—can foster resilience and holistic wellbeing among youth.
subject: Articles
  topic: section
subject:
  topic: keywords
  value: Youth Mental Health; Digital Era; Social Media; Risk Factors; Wellbeing; Preventive Strategies; Psychological Resilience; Indian Knowledge System; Emotional Intelligence; Mindfulness; Digital Literacy; Online Behaviour; Depression.
creator: Dr. Surendra Pal Singh
rights: Copyright (c) 2024 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2024-08-30
publication date: 2024-08-30
starting page: 26
ending page: 40
doi: 10.59828/ijsrmst.v3i8.245

A REVIEW OF NEONATAL HYPOXIC ISCHEMIC ENCEPHALOPATHY A NEUROLOGICAL DISORDER
type: item
description: Hypoxia is a condition characterized by a deficiency of oxygen in the body or a specific organ or tissue, leading to various physiological and pathological effects. HIE is particularly common in newborns, known as Neonatal Hypoxic Ischemic Encephalopathy (NHIE). Intrapartum hypoxic events are a major contributor to neonatal mortality, accounting for approximately one in five neonatal deaths worldwide, with an estimated 717,000 deaths in recent decades. Hypoxic Ischemic Encephalopathy (HIE) is a leading cause of long-term neurological disability in neonates and adults due to inadequate blood and oxygen supply to the brain. Several factors like perinatal hypoxia, hemodynamics, poor perfusion rate, placental abnormalities, labour and multiple organ dysfunctions are included in the development of disorder. Understanding the underlying brain damage mechanisms is crucial for early detection and development of effective treatment strategies for high - risk patients. This review begins by discussing HIE, emphaisaising the broad array of other causes for neonatal encephalopathy, the epidemiology, neurologic presentations, diagnostics, and therapeutic strategies for HIE. Keywords: Hypoxia, Neonatal, Encephalopathy, Neurological ischemia
subject: Articles
  topic: section
creator: Dr. Nallajerla Saikrishna
creator: Dr. Srinivasu Matta
creator: Bhavya Sri Adireddy
creator: Jayalakshmi Challapalli
creator: Anand king Tadepalli
creator: Anusha sade
creator: Jayasurya Kundavarapu
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-10-16
publication date: 2025-10-16
starting page: 01
ending page: 12
doi: 10.59828/ijsrmst.v4i10.379

AI and Inclusive Education: Opportunities and Challenges
type: item
description: Artificial intelligence (AI), seen as a technology with the ability to perform complex tasks similar to the human brain, is emerging as a transformative tool in the field of education. It has opened new doors for learning and is making digital learning more comprehensive and excellent. AI is seen as having the potential to make learning more accessible and effective and to make it more inclusive by overcoming various learning barriers. Inclusive education, which provides equal educational opportunities to students regardless of their socio-economic status, language abilities, or disabilities, can be made more effective and widespread through AI. In inclusive education, AI helps make education more student-centric, removes various learning barriers such as language barriers, and provides adequate support to meet the needs of students with disabilities. This ensures that all students can receive a quality education. However, while AI is significantly impacting inclusive education, some challenges remain, such as students' insufficient access to digital facilities, a lack of basic infrastructure, inadequate teacher training, and concerns related to ethics and privacy. This research paper examines the role and opportunities of AI in education to make it more inclusive. It also identifies and investigates the challenges facing AI in inclusive education. Keywords: Artificial Intelligence, Inclusive Education, Children with disability, Personalized Learning, Linguistic Diversity, Assistive Technology
subject: Articles
  topic: section
creator: Sugandh Kumar
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 92
ending page: 100
doi: 10.59828/ijsrmst.v4i9.375

Impact of Temperature Variations on the Efficiency and Longevity of Photovoltaic Cells
type: item
description: Working with solar panels over the years, I've noticed something that surprises a lot of people - hotter isn't better when it comes to electricity generation. This study digs into why temperature changes mess up solar panel performance and what that means for how long they actually last. I've spent considerable time going through research from 2019 to 2024, looking at what happens when panels get really hot or go through big temperature swings. The data tells a pretty consistent story: silicon-based panels lose roughly 0.4-0.5% efficiency for each degree above their comfort zone. Doesn't sound like much until you multiply that across thousands of panels. Here's what caught my attention - different panel types handle heat stress in totally different ways. The standard crystalline silicon panels (which most people have on their roofs) actually struggle more with high temperatures than some newer thin-film technologies. Once you hit operating temperatures around 65°C, things start going downhill fast in terms of long-term durability. But there's hope. Good thermal management can actually add 15-20% to a panel's useful life. That's real money when you're talking about solar investments. This paper combines field measurements, lab testing, and actual performance data to help folks make better decisions about managing heat in solar installations. Keywords: photovoltaic cells, temperature coefficient, thermal degradation, solar efficiency, module longevity, crystalline silicon, thermal management
subject: Articles
  topic: section
creator: Manvendra Singh
creator: Dr. Deepak Kumar
rights: Copyright (c) 2024 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2024-12-31
publication date: 2024-12-31
starting page: 11
ending page: 31
doi: 10.59828/ijsrmst.v3i12.271

Advances in the Synthesis and Pharmacological Applications of Heterocyclic Scaffolds: Benzoxepine and Benzothiepine Derivatives
type: item
description: Paul Cagniant first reported the synthesis of benzoxepine which was named as homochroman 1.1 Since then a large number of substituted benzoxepine derivatives were prepared by various synthetic routes, the significant being (i) By rearrangement of anisylidine flavone epoxides;2 (ii) From dihydrobenzofuran-3-one;3 (iii) By PARHAM Cyclialkylation;4,5 (iv) From aryl oxazolines;6 (v) By ring closure of Isoprenyl terminal epoxides;7 Homochroman (1-Benzoxepine and 1-Benzothiepine) (vi) By photocycloaddition of Benzo[b]furan derivatives to alkenes;8 and several other synthetic routes not being employed in common practice. The thia analog is known as benzothiepine 1a. A review on Benzoxepines has described the synthetic routes reported in literature till 1990.9,10 The present review describes the synthetic routes, reactions, the naturally occurring 1-Benzoxepines, its derivatives and their pharmacological significance. Keywords: Benzoxepine and Benzothiepine, synthetic routes, reactions, pharmacological significance.
subject: Articles
  topic: section
creator: Sanjay K. Gautam
creator: Pushyamitra Mishra
creator: Balendu K. Gupta
creator: Anoop K. Awasthi
creator: Vishnu K. Tandon
rights: Copyright (c) 2022 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2023-07-30
publication date: 2023-07-30
starting page: 34
ending page: 53
doi: 10.59828/ijsrmst.v2i7.127

Exploring Reactive Carbocations in Aqueous Microdroplets
type: item
description: Recent advancements in the study of reactive carbocations have unveiled their intriguing behavior in aqueous microdroplets, challenging traditional notions of stability and reactivity. We present a comprehensive investigation into the formation, detection, and reactivity of various carbocation intermediates within water microdroplets
subject: Articles
  topic: section
subject: Aqueous microdroplets, Carbocations
  topic: keywords
subject: Reactive intermediates
  topic: keywords
subject: Dehydrogenative aromatization
  topic: keywords
creator: Himanshu Bansal
creator: Vanisha Mishra
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 74
ending page: 91
doi: 10.59828/ijsrmst.v4i9.372

Rethinking the Evolution of Ageing: From Mutation Accumulation to Social Transfers and Negligible Senescence
type: item
description: The theory of aging explains why death becomes more common as individuals grow older. It suggests that as we age, the remaining years available for repro- duction decrease, making our survival less important for passing on our genes. However, with recent developments, it has been observed that general theories do not adequately account for the lives of social animals. Successful reproduction in these animals involves not only having children but also providing support to them and other younger individuals. Over time, several theories have been devel- oped to combine the effects of fertility and support in determining mortality at different ages. For species that strike the right balance between producing many offspring and investing in each one, the factor of support becomes more influen- tial in mortality. By integrating transfers with fertility-based selection, a formal theory has been developed that aligns with data and applies to understanding life histories and population dynamics. This review also highlights how social insects do not conform to classical theories of aging and emphasizes the need to consider recent models of aging theories that address this limitation.
subject: Articles
  topic: section
subject: Evolution of Ageing Social Insects, Longevity, Intergenerational Transfers
  topic: keywords
creator: Himanshu Bansal
creator: Alisha Tirkey
creator: Niharika Jatav
creator: Arti Kumari
creator: Kanak Bhalkar
creator: Shipra
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 58
ending page: 73
doi: 10.59828/ijsrmst.v4i9.371

Analysis of Soret and Dufour Effects on Buoyancy driven MHD Heat Mass Transfer Couette Flow under the Influence of Ramped and Isothermal Temperature settings
type: item
description: This analysis investigates the impact of soret and dufour on MHD heat and mass transfer coquette flow considering the ramped and isothermal conditions due to contributory effects of buoyancy. The analysis has been able to change the governing partial differential equations and their initial and boundary conditions into dimensionless form using the appropriate dimensional variables. Finite element method was employed in finding the solution of dimensionless partial differential equations subject to their initial and boundary conditions. The results from the finding indicates that, velocity profile is enhanced due to the rise in Eckert number (Ec), Buoayancy parameter (rt ), Dufour number (Df), Solutal Grashof number (Gc), Thermal grashof number (Gr) and Radiation parameter (R) while opposite trends is observed with rise in Jeffery fluid parameter (β). The fluid temperature upsurges due to intensification of Gr , rt , R, Df and Ec and shrinks with increase in Prandtl number (Pr). On the other hand there is declining in concentration profile as Schmidt number (Sc) and chemical reaction parameter ( Kr) increases, while opposite behavior is seen with Soret number (Sr). Additionally, There is slight boost on skin friction (τ) as rt and gets increased. Conversely, Nusselt number (Nu) get lowered as Df increases. Also, Nu and Sherwood number (Sh) enlarges as rt increases. Furthermore , τ. Sh and Nu gets reduces slightly due to rise in Sr . Finally, the overall results are in complete agreement with the existing literature thereby validating the accuracy and reliability of the present study. Keywords: Dufour, Buoyancy, Soret, Ramped Temperature, Isothermal Temperature
subject: Articles
  topic: section
subject: Dufour, Buoyancy, Soret, Ramped Temperature, Isothermal Temperature
  topic: keywords
creator: F. Abdullahi
creator: M.A. Sani
creator: M. Mansur
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 45
ending page: 57
doi: 10.59828/ijsrmst.v4i9.367

Applications of Data Science and Analytics in Modern Industries
type: item
description: This paper explores the applications of Data Science and Analytics in modern industries, highlighting their role in decision-making, process optimization, and predictive modeling. We present an overview of methodologies such as machine learning, big data processing, and visualization, followed by case studies across healthcare, finance, and retail. Results demonstrate the transformative impact of data-driven decision making, while also addressing challenges such as data privacy and ethical considerations. The study concludes with future prospects of analytics in AI-driven systems. Additionally, the study highlights measurable impacts such as cost reduction in manufacturing, improved patient outcomes in healthcare, fraud minimization in finance, and enhanced supply chain resilience in retail. The integration of generative AI, automation, and real-time data streaming is anticipated to further accelerate industrial innovation. Emerging domains like smart cities, personalized education, and climate analytics are also positioned to benefit significantly from advanced data science approaches. Keywords: Data Science, Analytics, Machine Learning, Big Data, Predictive Modeling, Visualization
subject: Articles
  topic: section
creator: Dr. Sonali Gholve
creator: Mr. Rohan Rahul Tambe
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-21
publication date: 2025-09-21
starting page: 01
ending page: 07
doi: 10.59828/ijsrmst.v4i9.366

PERSPECTIVES OF TELEMEDICINE: A CROSS-SECTIONAL STUDY ON ASSESSING THE LEVEL OF AWARENESS, KNOWLEDGE AND PERCEPTION OF TELEMEDICINE SERVICES IN EBONYI STATE
type: item
description: Telemedicine is the act of making available medical care remotely via the utilization of information technology and telecommunications such as remote monitoring, electronic transmission of medical records and video consultations. This term Telemedicine is mostly vital technology that makes it very easy for people to access preventive treatment and equally help their chronic health conditions. Especially for those who are having financial or regional causes that prevent them from receiving quality treatment. Therefore, this work presents the assessment of the level of awareness, knowledge and equally the perception of telemedicine services in Ebonyi State. The researcher carried out a cross-sectional study among the general public, physicians and some patients in different clinics or medical centres in Ebonyi State. A structured, self- administered online and hardcopy questionnaires were distributed. 342 responses were retrieved amongst diverse distribution of genders, occupations, ages, and frequencies of using technology daily, accessibility of electricity and stable internet connection. The SPSS (Statistical Package for Social Sciences) version 23 was utilized for the analysis of the data. Validation of the questionnaire was performed through calculation of Cronbach’s alpha test for the consistency of the following item statements (i) Awareness and knowledge of telemedicine (0.738), (ii) Experience and use (0.799) (iii) Perceptions and beliefs (0.828), Kaiser- Meyer-Olkin (KMO) test for sampling adequacy (0.878) and Bartlett’s test of sphericity (<0.001). The frequencies of all the parameters in this study were expressed and means±standard deviation (SD). Independent sample t-test was equally used by the researcher to compare between means of different categories. The analysis revealed that 77.2% respondents revealed that they have not used Telemedicine services. This therefore entails that greater number of people living in Ebonyi State, do not use telemedicine s…
subject: Articles
  topic: section
subject: Telemedicine
  topic: keywords
subject: Store-and-forward
  topic: keywords
subject: Remote monitoring
  topic: keywords
subject: Telecommunication
  topic: keywords
subject: Telehealth
  topic: keywords
creator: ORIKO BLESSING CHIMAOBI
creator: ITUMA CHINAGOLUM
creator: OGUZOR REBECCA NNEKA
creator: AGWU JOY NNEKA
creator: ADENE GIFT
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 30
ending page: 44
doi: 10.59828/ijsrmst.v4i9.362

Dynamic Equipment Prioritization and Automated Three-Phase Power Switching Using IoT and Machine Learning in Critical Infrastructure
type: item
description: Reliable power supply is critical in hospitals, industrial plants, and data centers, where outages can result in life-threatening or costly disruptions. Most existing automatic transfer switch (ATS) systems rely on fixed rule-based logic, lacking predictive intelligence or equipment prioritization. This study proposes an IoT-enabled, machine learning–driven framework for dynamic equipment prioritization and automated three-phase power switching. Real-time data—including voltage, current, temperature, and vibration—are captured through IoT sensors and analyzed using Decision Trees, Random Forests, and Neural Networks to predict faults and assess equipment criticality. A modular object-oriented architecture allows easy integration of new data sources and algorithms, ensuring scalability. The decision engine allocates power from grid, generator, and solar sources based on equipment priority scores and live load conditions, guaranteeing uninterrupted supply to mission-critical assets. Experimental validation in healthcare and industrial testbeds achieved 98% accuracy in prioritization, 100% correctness in switching, and reduced downtime by 40% compared with conventional ATS systems. The proposed approach advances resilient power management by coupling predictive maintenance with context-aware switching, improving reliability, efficiency, and operational safety in mission-critical environments.
subject: Articles
  topic: section
creator: Chukwuemeka Anyim
creator: Igwe Joseph S
creator: Adene Gift
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 18
ending page: 29
doi: 10.59828/ijsrmst.v4i9.361

Intelligent IoT Framework for Power Management and Predictive Maintenance in Critical Infrastructure
type: item
description: Reliable power supply is essential in critical environments such as hospitals and industrial facilities, where outages can pose severe risks. This study presents an IoT-enabled intelligent framework for automated power management and predictive maintenance. The system integrates IoT sensors to monitor voltage, current, temperature, and vibration in real time, while machine learning algorithms (Decision Tree, Random Forest, and Neural Networks) analyze the data to predict equipment failures and optimize resource allocation. The framework also ensures seamless switching between power sources (mains, generators, and solar), guaranteeing uninterrupted supply to critical equipment. Experimental results demonstrate a 25% improvement in equipment uptime and a 30% reduction in energy costs compared to conventional systems. This scalable and reliable solution enhances operational resilience, reduces maintenance costs, and strengthens power management in critical infrastructure. Keywords: IoT, Power Management, Machine Learning, Predictive Maintenance, Critical Infrastructure
subject: Articles
  topic: section
creator: Chukwuemeka Anyim
creator: Igwe Joseph
creator: Benedict Mbanefo Emewu
creator: Chukwuemeka Okpara
creator: Adene Gift
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-09-30
publication date: 2025-09-30
starting page: 08
ending page: 17
doi: 10.59828/ijsrmst.v4i9.360

PERCEPTIVE OF ASSISTIVE TECHNOLOGIES IN INCLUSIVE EDUCATION: AN EXPLANATORY STUDY
type: item
description: The present study analyzes the perception of headmasters of special schools on assistive technologies in inclusive education in Odisha. Inclusive education is a global priority, ensuring that learners with diverse abilities receive equitable opportunities in mainstream classrooms. Assistive technologies play a key role by removing learning barriers, enhancing accessibility, and fostering independent participation of students with disabilities. This explanatory study examined the perspectives of 50 headmasters from 50 schools across Boudh and Sonepur districts of Odisha. A mixed-method approach was used to assess how assistive technologies are integrated into teaching-learning processes. Findings show that headmasters of the schools noted greater confidence and independence in their children, though concerns about cost, availability, and lack of technical expertise were common. Teachers emphasized that effective use of assistive technologies requires training, institutional support, and policy-level commitment. The study concludes that assistive technologies can significantly strengthen inclusive education, provided there is sustained investment, collaboration between educators and parents, and continuous professional development. The insights generated add to the discourse on equity and innovation in education, offering practical recommendations for policymakers, schools, and stakeholders aiming to build more accessible and inclusive learning environments. Keywords: Assistive technologies, inclusive education, headmasters.
subject: Articles
  topic: section
creator: Mr. Mrutyunjaya Pradhan
creator: Dr. Surekha Jain
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-08-31
publication date: 2025-08-31
starting page: 56
ending page: 66
doi: 10.59828/ijsrmst.v4i8.356

Application of Nanomaterials for Wastewater Treatment
type: item
description: Nanoparticles and nano composites have attracted researchers in recent years as they have shown feasible potential in water purification. Agricultural runoff, industrial wastewater, hydrothermal activities and many more activities are responsible for release of many pollutants such as heavy metals, dyes in the water bodies which causes severe diseases like muscle impair, kidney failure, cancer in skin, lungs and bladder. Nanocomposites are multi-phase solid materials made-up of two or more nano materials have shown effective characteristic in adsorption of heavy metals. In this paper preparation of Urea formaldahyde resin encapsulated with copper and reduction of arsenic through the resin in arsenic water have been discussed. Keywords: Nanomaterial, Wastewater, Heavy metal, Arsenic, Adsorption
subject: Articles
  topic: section
creator: Dipt Kirti Bhanu
creator: Kumari Seema
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-08-31
publication date: 2025-08-31
starting page: 50
ending page: 55
doi: 10.59828/ijsrmst.v4i8.354

A Comprehensive Review of Design and Evaluation of a Breath-Actuated Inhaler for Technosphere Insulin: Enhancing Glycemic Control
type: item
description: The development of inhalable insulin represents a significant advancement in diabetes management, offering a non-invasive, needle-free alternative to traditional subcutaneous insulin injections. This innovative approach utilizes dry insulin powder administered through a novel inhaler device designed for oral delivery. The primary goal during the development phase is to evaluate the safety, efficacy, and long-term stability of this method while ensuring no contamination occurs during use. Inhallable insulin demonstrates rapid action, making it particularly effective for glycemic control compared to conventional injection-based techniques. Key aspects of this development include optimizing the formulation of dry insulin powder for efficient pulmonary absorption, designing user-friendly inhalers, and conducting rigorous clinical trials to assess its performance in terms of glycemic management, patient acceptability, and potential adverse effects. Additionally, addressing challenges such as insulin antibody formation, pulmonary safety concerns (e.g., risk of cough or reduced lung function), and ensuring consistent dosing are crucial for its widespread adoption. By providing a convenient and less burdensome option for insulin administration, inhaled insulin has the potential to improve adherence and overall quality of life for patients with diabetes. Keywords: Inhalable insulin, diabetes mellitus, glycemic control, non-invasive insulin delivery, patient satisfaction, cartridges, afrezza powder and exubera powder.
subject: Articles
  topic: section
creator: Kothwala Dr. Deveshkumar Mahendralal
creator: Patel Chirag Vinodbhai
creator: Patel Mehul Rameshbhai
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-08-31
publication date: 2025-08-31
starting page: 43
ending page: 49
doi: 10.59828/ijsrmst.v4i8.355

A Study on the Use of Social Media Platforms among Gen-Z
type: item
description: Social media plays a significant role that influences perceptions and attitudes, helps in shaping identity, as well as affects the well-being of individuals. It is a digital application and tool that provides users to produce and distribute user-generated content, facilitates interaction, and uses suitable mediums to share or disseminate ideas, information, and thoughts by connecting with others by building virtual networks and communities. Gen-Z is the first generation to emerge and develop in a virtually connected world. The continuous engagement of Gen-Z in social media for information, to interact with others, and express themselves in the online social sites has become so familiar that it has now become part of the only reality they know. This study aims to find the usage and the most preferred social media platforms, and the purpose for which these platforms are used mostly among Gen-Z. A descriptive survey method was used for this study. The samples were chosen randomly, which consisted of N=120 Gen-Z participants, which comprised males n=60, 50% and females n=60, 50%. Results indicated that the most dominant platforms were Instagram and YouTube among Gen -Z, with high responses on duration of engagement, Facebook and Snapchat had moderate responses, whereas platforms such as X, LinkedIn, and Reddit had fewer responses. Instagram emerges as the clear favourite social media platform, indicating the most preferred social media among Gen-Z. The findings showed that the majority have responded seeking news and information, and entertainment has reported the highest responses as the main purpose for which social media platforms are used mostly among Gen-Z. Thus, social media is an integral component in Gen-Z’s lives, but extreme social media use can have adverse effects in many ways, such as social media distraction, social media fatigue, and mental health conditions among Gen-Z users. Keywords: use of social media platforms, social media platforms, Gen-Z
subject: Articles
  topic: section
creator: Upasana Kalita
creator: Prof. Dulumoni Goswami
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-08-31
publication date: 2025-08-31
starting page: 33
ending page: 42
doi: 10.59828/ijsrmst.v4i8.359

A Review of Wire Arc Additive Manufacturing
type: item
description: Wire Arc Additive Manufacturing (WAAM) is a metal additive manufacturing (AM) process based on the technique of Directed Energy Deposition (DED), which uses an electric arc to melt wire feedstock for the layer-by-layer fabrication of large, near-net-shape metallic components of complex geometries. In this review paper, the authors aim to provide a comprehensive overview of WAAM technology. It discusses the basic principles, major components, working principles and physics involved in WAAM process, major advantages including high deposition rates (10 kg/hr), low-cost, material flexibility, near-net-shape structures, industrial applications in aerospace, automotive, marine, construction, energy and infrastructure industries, major challenges such as thermal distortion and residual stresses, anisotropy, porosity, poor surface finish and low standardization, current research trends to address these challenges like process modeling and control, hybrid WAAM, advanced path planning strategies, inter-layer cooling and artificial intelligence (AI) integrated control systems and future trends in this field such as new materials and material systems, simulation-driven process optimization, certification and standards, sustainable WAAM. The current state-of-the-art and recent advancements in WAAM technology are discussed in terms of novel process techniques and applications. This paper will be of interest to a wide audience, including researchers and engineers working in the field of WAAM and high-performance scalable AM technologies.
subject: Articles
  topic: section
subject: Wire Arc Additive Manufacturing (WAAM)
  topic: keywords
subject: Directed Energy Deposition (DED)
  topic: keywords
subject: Metal 3D Printing
  topic: keywords
subject: Process Optimization
  topic: keywords
subject: Industrial Applications
  topic: keywords
creator: Parankush Koul
creator: Yashavanth Siddaramu
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-08-22
publication date: 2025-08-22
starting page: 01
ending page: 32
doi: 10.59828/ijsrmst.v4i8.353

Sanitation and Social Stratification: Examining Socio-Economic Factors Shaping Hygiene Adoption Among Rural Women in Bihar
type: item
description: This research study conducted in the Samastipur district of Bihar aimed to investigate the relationship between socio-economic factors and the adoption of appropriate health, hygiene, and sanitation practices among rural women. The study focused on the Pusa block and specifically examined two villages, Harpur and Bhuskaul, utilizing a random stratified sampling approach to select 120 female participants. A structured interview schedule was employed to collect data from these respondents. The study's findings demonstrated a significant correlation between socioeconomic factors and the adoption of proper health, hygiene, and sanitation practices, with statistically significant results at the one percent level (Chi-square value of 163.10** with 1 degree of freedom). Furthermore, the research revealed that the relationship between socio-economic factors and the adoption of these practices was more pronounced in Bhuskaul village when compared to Harpur village.
subject: Articles
  topic: section
subject: Adoption
  topic: keywords
subject: Impact
  topic: keywords
subject: Health
  topic: keywords
subject: Hygiene
  topic: keywords
subject: Sanitatio
  topic: keywords
subject: Socio-economic
  topic: keywords
creator: Wandahun Lynshiang
creator: Dr. Mukul Upadhyay
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-07-29
publication date: 2025-07-29
starting page: 35
ending page: 41
doi: 10.59828/ijsrmst.v4i7.348

A STUDY OF EMOTIONAL INTELLIGENCE AND TEACHING APTITUDE OF SECONDARY SCHOOL TEACHERS
type: item
description: This research aimed to explore the emotional intelligence and teaching aptitude of secondary school teachers. To achieve this, a total of 100 school teachers, from secondary schools of Lucknow city of science and commerce departments at educational institutions were chosen. Each institution contributed 25 teachers from different schools. Teacher Emotional Intelligence Scale by P. N. Ashraf S. Jamal and Teaching Aptitude Test Battery (TATB) developed by Singh and Sharma were used for the purpose of data collection. To data analysis Mean, SD and t-test were utilized. The results indicated that there is no significant difference in emotional intelligence and teaching aptitude of secondary school teachers. This research suggests that future teachers should focus on exhibiting mature behavior and enhancing emotional intelligence and enhancing the teaching effectiveness need to be develop more teaching aptitude.
subject: Articles
  topic: section
subject: Emotional intelligence
  topic: keywords
subject: Teaching aptitude
  topic: keywords
subject: Secondary school teacher
  topic: keywords
creator: Sada Warsi
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-07-26
publication date: 2025-07-26
starting page: 22
ending page: 34
doi: 10.59828/ijsrmst.v4i7.347

DEVELOPMENT OF AN AI-DRIVEN ADAPTIVE LEARNING MANAGEMENT SYSTEM USING DATA ANALYTICS
type: item
description: This study presents the development of an AI-driven Adaptive Learning Management System (LMS) that delivers personalized learning experiences using data analytics and natural language processing. The system addresses limitations of traditional LMS platforms by dynamically adapting content based on student performance in real-time. Designed with Object-Oriented Methodology and the CRISP-DM data analytics model, the system integrates Python, web technologies, and a BERT (Bidirectional Encoder Representations from Transformers)-based semantic engine. When students fail a quiz, the BERT model identifies knowledge gaps and retrieves tailored content through web scraping. A mixed-method evaluation combining interviews and performance metrics showed enhanced student engagement and academic outcomes. This adaptive feedback loop supports continuous learning and remediation. Evaluation results demonstrate improvements in learner engagement, satisfaction, and academic outcomes. The system’s ability to automate content adaptation and feedback makes it a robust solution for scalable, equitable education delivery. In conclusion, this study offers a practical and intelligent framework for next-generation LMS platforms, addressing critical gaps in adaptability, personalization, and real-time instructional support.
subject: Articles
  topic: section
subject: Adaptive Learning, Artificial Intelligence (AI), Learning Management System (LMS), Natural Language Processing (NLP), Personalized Education
  topic: keywords
creator: Afolabi I.Y
creator: Ugah J.O
creator: Igwe J.S
creator: Nwali M.E
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-07-31
publication date: 2025-07-31
starting page: 52
ending page: 63
doi: 10.59828/ijsrmst.v4i7.349

Generative AI and Women Entrepreneurs: A Path to Inclusion
type: item
description: Generative AI helps in content creation, process automation as well as in operational efficiency which helps in Digital entrepreneurship. Women entrepreneurs having some challenges like insufficient capital and digital infra, they required training of GenAI and tools like ChatGPT, Jasper, go daddy etc this tool helps in enhancing the branding and expand market competitiveness and will be cost-effective, scalable solutions that help streamline operations. Here focus given on the benefits such as Time saving, creative Empowerment, global reach. Here limitations also considered which are data privacy, Digital literacy, AI leadership, policy support. Here policy measures considered for the study, it shows that woman are active participants in the Gen AI. Points considered like including gender-specific skill development, improved data governance frameworks, mentorship programs, and inclusive leadership initiatives. It emphasizes the urgent need for inclusive, gender-sensitive digital ecosystems that empower women as innovators, leaders, and decision-makers. The insights provided aim to guide governments, tech companies, and business support organizations in fostering equitable participation in the evolving GenAI-driven entrepreneurial economy. Keywords: Digitalization, Innovation, Entrepreneurs, Empowerment, Technology
subject: Articles
  topic: section
creator: Dr. Sonali Sagar Gholve
creator: Gayatri Makrand Ghodke
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-07-26
publication date: 2025-07-26
starting page: 14
ending page: 21
doi: 10.59828/ijsrmst.v4i7.346

AI-powered fraud detection in online banking: Using machine learning to improve security
type: item
description: This study looks at how machine learning (ML) and artificial intelligence (AI) might improve fraud detection in the online banking industry. Fraudsters are growing more skilled as more financial transactions shift to digital platforms, making the implementation of advanced security measures necessary. Machine learning models that analyze large datasets, detect anomalies, and lower the risk of financial fraud are used to assist AI-driven fraud detection systems. The author of this literature study critically assesses current AI/ML-based fraud detection techniques in terms of their efficacy, difficulties they confront, and potential pathways for scaling up their use as a solution. The paper highlights important developments in deep learning models, supervised and unsupervised learning, and anomaly detection methodology. The results demonstrate AI's potential to improve fraud detection accuracy while addressing algorithmic bias, data privacy, and adversarial assault. The study concludes by offering suggestions for improving the fraud detection system with regard to real-time fraud monitoring, Explainable AI (XAI), and incorporating blockchain technology into the security of digital banking.
subject: Articles
  topic: section
subject: Machine learning
  topic: keywords
subject: anomaly detection
  topic: keywords
subject: cybersecurity
  topic: keywords
subject: explainable
  topic: keywords
subject: AI (XAI)
  topic: keywords
subject: and AI-powered fraud detection
  topic: keywords
creator: N. Sugumar Babu
creator: Dr. M. Kotteeswaran
rights: Copyright (c) 2025 International Journal of Scientific Research in Modern Science and Technology https://creativecommons.org/licenses/by-nc/4.0
date: 2025-07-25
publication date: 2025-07-25
starting page: 01
ending page: 13
doi: 10.59828/ijsrmst.v4i7.345