Volume 13 | Issue 12 |

 Abstract

Jile Me Makka Utapadan Ki Lagat - Labh Sarachna Tatha Aartik Vavyarta Ka Samalochnta Mulyakan

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Jile Me Makka Utapadan Ki Lagat - Labh Sarachna Tatha Aartik Vavyarta Ka Samalochnta Mulyakan

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Forensics and security at present often use low technological resources. Security measures often fail to update with the upcoming technology. This project is based on implementing an automatic face recognition of criminals or specific targets using machine-learning approach. Given a set of features to a Generative Adversarial Network (GAN), the algorithm generates an image of the target with the specified feature set. The input to the machine can either be a given set of features or a set of portraits varying from frontals to side profiles from which these features can be extracted. The accuracy of the system is directly proportional to the number of epochs trained in the network. The generated output image can vary from primitive, low resolution images to high quality images where features are more recognizable. This is then compared with a predefined database of existing people. Thus, the target can immediately be recognized with the generation of an artificial image with the given biometric feature set, which will be again compared by a discriminator network to check the true identity of the target.

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GAN, Face Recognition, Criminal Identification, Deep Learning, Generative Adversarial Networks, Machine Learning.

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Abstract 21st century has given many challenges for the human race. The shortage of food, water for the ever growing population especially in the third world countries, depletion of natural resources disastrous pollution of water, soil, air and global warming etc is causing threat to our health, life and harmonious eco-system. People around the world have become more aware of green protection and creation. Business organization and corporation have started modifying their working in an attempt to increase green creation and protection. Banks have also fallen in line with the other industries and gave adopted technology in the services towards clients at branch level in administration at regional and head office level. Online banking, scope is being emphasized in a higher level. Awareness of green banking among employees, clients and management is key for its success, which help in organizational sustainability and development through environmental sustainability and development. This study also covers the recent developments are made by Indian banks for sustainable development and challenges faced by banks in implementation. There is need to create awareness, implement and follow green banking as much as possible in present scenario of Globalization so as to make our environment human friendly and enrich the sustainability

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Green banking, Indian Banking sector

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Training and development play a vital role in enhancing employee performance and organizational productivity. With rapid technological advancement, organizations are increasingly adopting online training methods alongside traditional classroom training to meet dynamic learning needs. This study aims to analyse and compare the impact of online training and classroom training on employee performance. The research evaluates employee satisfaction, engagement, learning effectiveness, and performance outcomes associated with both training modes. Primary data were collected using a structured questionnaire from employees across various organizations, and statistical tools such as One-Way ANOVA, One-Sample t-Test, and Chi-Square Test were used for analysis. The findings reveal that employees demonstrate significant satisfaction with training programs, and no significant difference exists in employee satisfaction across online, classroom, and hybrid training methods. The study concludes that training effectiveness depends more on content quality, instructional design, and relevance to job roles rather than the mode of delivery. A hybrid training approach is recommended to maximize employee performance and continuous learning.

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Online Training; Classroom Training; Employee Performance; Training Effectiveness; Learning Methods.

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Shortly after T.B. Macauley arrived in India as a Member of the Council of India, he suggested in 1835 for first suggested the need to improve and reform prisons in India.1 But he didn't think it was necessary to provide for the education of prisoners. "There is no man whom it would cost more to instruct than a criminal prisoner. None would sooner forget instruction."2 While acknowledging Macaulay as a great historian and statesman, one cannot subscribe to his view that education would be a waste of prisoners. Education helps to distinguish between right and wrong, good and evil, use and abuse, freedom and slavery, God and his angels and satan and his minions. To deny the acquisition of an asset like education to convicts is to deny them a basic human right.

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CONVICTS' EDUCATION IN THE JAILS OF TAMIL NADU

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Assam faces border skirmishes with its neighboring states. Claims and counter claims by communities at the borderland are everyday affairs of Assam and its neighboring Northeast states. The genesis of border skirmish goes back to 1933 Inner line notification and repeated redrawing of Inner line during 1875-1933. 1875 Inner line was the first imaginary border on the map of erstwhile Eastern Bengal Frontier. The line served as border between the hills and plains of Assam. The line also served as jurisdiction limits and administration limits for colonial administrative divisions between the hills and plains of Assam. Border skirmishes have not been resolved due to Assam's firm stand on colonial documents of 1933 Inner line as the official border. This paper analyzes the ongoing border skirmishes between Assam and Mizoram. Various sources are utilized, from Archival papers to make sense of the present to review of Official Border Study Reports. Fieldwork narratives and case study of families at the borderlands between Assam and Mizoram are undertaken. It helps in analyzing different narratives of the ongoing border skirmishes. Overlapping territorial claims by both communities, overlapping administration zones, non-demarcation of borderlands during 1971 Northeast States Reorganisation Act and overlooking of border demarcation during the 1986 Mizo Peace Accord ignite today's border skirmishes on annual and seasonal basis. Till today, no consensus on border issues. Hence, borderland issues have not been solved. Lastly, the paper suggests how border skirmishes can be resolved.

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Border, Borderlands, Assam-Mizoram Border skirmishes, Inner Line, 1971 Northeast State Reorganization Act.

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The Morse Code Detection System using eye blink and sound detection is an innovative, web-based communication framework designed to assist individuals with speech and motor impairments. This system transforms involuntary biological signals such as eye blinks and sound pulses into meaningful Morse code, which is then translated into human-readable text. By integrating modern browser-based machine learning technologies including TensorFlow.js and MediaPipe Face Mesh, along with a cloud-native backend powered by Convex, the system enables real-time blink detection, signal classification, data storage, and communication history management. Traditional assistive technologies often require specialized hardware or costly infrastructure, making them inaccessible to many individuals. In contrast, this system operates entirely within a standard browser environment and uses only a webcam and microphone, promoting accessibility, affordability, and ease of deployment. The architecture supports calibration for personalized sensitivity, session-based logging for user communication patterns, and real-time signal visualization. This project demonstrates how modern web technologies, combined with intelligent detection algorithms, can facilitate reliable communication for users with paralysis, ALS, or other conditions affecting motor capabilities. The system not only decodes Morse code signals accurately but also ensures session persistence, user customization, and extensibility toward future enhancements such as advanced sound detection and predictive communication models.

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Eye Blink Detection , Morse Code Communication, Sound Pulse Detection , MediaPipe Face Mesh , TensorFlow.js , Eye Aspect Ratio (EAR) , Assistive Technology , Real-time Signal Processing ,Convex Backend ,Blink Duration Classification , Machine Learning , Accessibility Systems , Browser-based Application , Calibration Thresholds , Human-Computer Interaction

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The number of individuals being diagnosed with type 2 diabetes is increasing worldwide. Of particular concern, the incidence of type 2 diabetes in children and adolescents is increasing rapidly and reflects the increasing burden of juvenile obesity. There are a number of risk factors associated with the condition; some of these are due to lifestyle; however, the majority is outside of our control, such as our genetics. There is an urgent need to develop improved therapeutics for the prevention and management of this multifactorial condition as existing medications often cause undesirable side effects and are poorly complied with. Diabetes can lead to the development of associated comorbidities. Natural products are gaining momentum for the prevention and management of various multifactorial diseases, including type 2 diabetes. In this review, we provide an overview of the strengths and limitations of fenugreek and its constituents as a therapeutic agent for type 2 diabetes, including its bioavailability and interaction with the microbiome.

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Type 2 diabete,fenugreek; 4 hydroxyisoleucine; therapeutics; natural compounds; microbiome

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Healthcare professionals perceive and experience work-life balance (WLB) in a high-pressure and emotionally demanding industry. Work-life balance is a vital issue ultimately affecting the wellbeing, as one's family and work are the most important essentials of everyone's life. Any competing demands of work and family life cause conflict and negatively affect the wellbeing of workers. In recent years, the importance of maintaining equilibrium between personal well-being and professional obligations has grown significantly, especially in sectors like healthcare, where job stress, long hours, and emotional labour are routine. This study focuses on assessing the perception of Professionals towards Work Life Balance in the Healthcare Industry. There are aspects of work-life balance determined by family work conflict on the wellbeing of individuals , health , stress ,Mental health perspectives of the Professionals. The dimensions of WLB are identified and the relationship between the identified dimensions of work life balance and various demographic variables as Gender, Years of Experience has also been studied. The impact of identified dimensions on Work life Balance of Professionals in Healthcare Sector is also the part of the analysis.. Here, Quantitative research methods are used for the study, and a sample population was chosen amongst participants by using a convenient sampling method. A self-designed questionnaire was floated to collect the primary data from the respondents. The Cronbach's alpha coefficients were derived. The data was analysed using IBM SPSS version 27.

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Work Life Balance , Stress , Mental Health , Healthcare Professionals , Dimensions .

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Pharmaceutical development has undergone revolutionary transformation through the integration of computational approaches into traditional discovery protocols. Computer-Aided Drug Design (CADD) represents a systematic framework employing mathematical modeling and in-silico simulations to predict therapeutic efficacy and optimize chemical structures prior to laboratory synthesis and validation. This methodology encompasses multiple complementary computational strategies: target structure exploitation, ligand-receptor interaction modeling, similarity-based analysis, and activity prediction through statistical correlation. Contemporary pharmaceutical challenges including protracted development timelines (typically 10-15 years) and escalating costs (approaching $2-3 billion per approved agent) can be substantially mitigated through rational computational prescreening of candidate compounds. This comprehensive literature review synthesizes current understanding of CADD fundamental concepts, evaluates principal computational techniques including receptorligand positioning algorithms and molecular property prediction models, examines available computational platforms, explores therapeutic discovery applications, and discusses emerging technologies including artificial intelligence integration. The intersection of advanced computational techniques with experimental verification methodologies signifies a fundamental paradigm shift in pharmaceutical research strategy.

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Drug Discovery, Molecular Interaction Modeling, Computational Chemistry, Lead Compound Development, Artificial Intelligence, Machine Learning, In-Silico Prediction, Therapeutic Development

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