International law, in particular the Charter of the United Nations, International Humanitarian Law and International Human Rights Law applies to the Autonomous Weapons System.[1] This chapter delves into the impact of AWS under jus ad bellum , Human Rights Law and how the AWS prompts an arms race.

The present study aimed to determine the effect of speed based skill practice on selected skill performance variables of male basketball players. For this purpose (N=40) forty subjects aged between 18 to 25 years, who participating in inter-collegiate tournaments were selected from the Department of Physical Education, Bharathiar University and PSG College of Arts and Science, Coimbatore. The experimental design employed pre-test and post-test randomized group design with the subjects randomly divided into two equal groups of 20 subjects each. Group 1 underwent speed based skill practice (SBSP) while Group 2 served as the control group (CG) continuing with their regular training routines without any specific speed based skill interventions. The SBSP regimen for Group 1 was implemented over a period of eight weeks with sessions conducted five days a week. Collected data on selected skill performance variables specifically dribbling and passing were collected before and after the training period. Statistical analyses including paired t-test, analysis of variance and analysis of covariance. A significance level of 0.05 was chosen to test the significance of the results derived. The results confirmed the positive effect of speed based skill practice on selected skill performance variables including dribbling and passing performance confirming its effectiveness in enhancing skill execution among male college basketball players.

In recent years, the increasing demand for environmentally sustainable products has led companies to market their goods as eco-friendly to gain consumer trust and market advantage. However, the rise of greenwashing, the practice of falsely claiming environmental responsibility, has raised serious concerns about the authenticity of such claims and the effectiveness of regulatory mechanisms in place to address them. This study critically examines the Eco Mark Certification legal framework in India, assessing its role in ensuring environmental compliance and preventing deceptive green marketing. It further explores how greenwashing influences stakeholders, distorts market behaviour, and impacts corporate growth both positively and negatively. This study aims to identify regulatory gaps and evaluate the enforcement of existing laws. The research tests the hypothesis that the current Indian legal framework for eco-labelling is insufficient to curb greenwashing practices, thereby calling for stronger legislative and institutional reforms.

The study aimed to explore the influence of effect of resistance training on selected physical and physiological variables among school level handball players. The hypothesis posited that eight weeks of resistance training would significantly impact selected physical and physiological variables among school level handball players. For this investigation 30 randomly selected school level handball players from Maruthamalai Devasathanam Higher Secondary School, Tamilnadu, India aged between 13 to 17 years were chosen as subjects. The research employed a pre-test and post-test random group design incorporating an experimental group and a control group each comprising fifteen participants. Experimental group underwent resistance training while control group underwent traditional training. The physical and physiological variables assessed included muscular endurance (measured by sit-ups), flexibility (assessed using the sit-and-reach test), resting heart rate (recorded via radial pulse count) and breath-holding time (measured using a digital stopwatch) respectively. Before the eight-week experimental period commenced, we conducted pre-tests to assess the selected physical fitness and physiological variables in all 30 subjects. Subsequently, post-tests were carried out at the conclusion of the experimental period, with scores meticulously recorded. Statistical analysis was conducted with a predetermined level of significance set at a confidence level of 0.05. The study results revealed a significant improvement in physical and physiological variables among participants in the resistance training group.

This study proposes a novel Smart Pavement System (SPS) utilizing embedded sensors for real-time structural health monitoring (SHM) of urban roads. With the increasing stress on transportation infrastructure, particularly in densely populated urban settings, traditional reactive maintenance proves insufficient. The system integrates strain, temperature, and moisture sensors embedded in pavement layers, linked to a wireless data acquisition platform. Field deployment in Sikkim?s urban corridors demonstrated the SPS?s ability to monitor pavement responses under live traffic and weather conditions. The predictive maintenance model developed from sensor data shows promise in reducing lifecycle costs and optimizing intervention timing. This paper outlines the design, deployment, data analysis, and feasibility of SPS as a scalable solution aligned with India?s Smart Cities Mission.

One of the most notable aspects of retail investor involvement in the mutual fund sector in India is the expansion of Systematic Investment Plans (SIPs). This study examines how the Securities and Exchange Board of India's (SEBI) regulatory actions have been crucial in fostering and maintaining this expansion. Transparency, investor trust, and accessibility have all greatly benefited from SEBI's initiative-taking efforts, which range from improved disclosure standards and investor protection frameworks to fee structure rationalization and digital onboarding simplification. In order to promote disciplined, long-term investment through SIPs, SEBI has established a strong ecosystem by requiring consistent disclosures, limiting total expense ratios (TERs), and promoting financial literacy. Through an examination of SIP inflow patterns, investor demographics, and mutual fund industry reactions, the study also assesses the efficacy of these measures. The results indicate that, particularly for retail investors, SEBI's regulatory framework has played a significant role in influencing investment behavior to become more goal-oriented and structured. In order to ensure continued retail investor involvement in the Indian capital markets and to further develop the SIP ecosystem, the paper ends with policy proposals.

The study dealt with the teachers? socio-emotional learning practices and behavioral development of grade 2 learners in the selected elementary schools of selected municipalities in the Province of Cotabato for the school year 2023-2024. It specifically determined the level of teachers? socio-emotional learning practices and the level of behavioral development of grade 2 learners. Further, it determined the significant relationship between the teachers? socio-emotional learning practices and behavioral development of the learners; the influence of teachers? socio-emotional learning practices on the behavioral development of the learners. This research utilized a descriptive?correlation research design to analyze from the 304 respondents taken through stratified random sampling with the proportional allocation of samples. The instrument utilized is a self-made validated by experts. Results of the validity and reliability test using Cronbach?s Alpha were .940 with 50 samples, which meant that the items in the instruments were highly reliable. Data gathering procedure using approved letters addressed to the Schools Division Superintendents, and the statistical tools utilized mean. To test the hypotheses, it employed Spearman rho and multiple linear regression. Teachers strongly agreed for curriculum integration, explicit instruction, emotion regulation technique, teacher training and support, and agreed for family involvement. Meanwhile, they were all highly practiced for social interactions, self-regulation, independence, and practiced for responsibility. Further, the teachers? socio-emotional learning practices were highly correlated with the behavioral development of the pupils. Teachers? socio-emotional learning practices were highly influenced on the behavioral development of the pupils.

The course Artificial Intelligence (AI) & Python Programming for Pharmacy ? II builds on foundational principles of artificial intelligence to equip pharmacy students with advanced analytical and computational skills. It integrates linear algebra, calculus, and differential equations to explain the mathematical logic underlying neural networks and machine-learning algorithms. Students learn to apply these constructs in modelling pharmacokinetic systems, predicting drug-release behaviour, and optimizing formulation design. Practical modules include matrix-based simulations, neural-network demonstrations, and applications of Python for data handling and visualization. The course further explores AI-driven pharmacy operations, such as automated dispensing, inventory forecasting, and error detection, highlighting how machine learning improves workflow efficiency and medication safety. In its clinical dimension, students examine Clinical decision support systems that leverage AI for evidence-based therapy recommendations and personalized medicine. Through case studies and ethical discussions, learners understand both the technological and human aspects of AI adoption in healthcare. By the end of the course, graduates gain proficiency in combining computational modelling, data analytics, and pharmaceutical expertise to design, implement, and evaluate intelligent healthcare solutions. This program thus prepares future pharmacists for leadership roles in precision medicine, digital therapeutics, and data-driven decision making across the pharmaceutical value chain.

. It integrates linear algebra, calculus, and differential equations to explain the mathematical logic underlying neural networks and machine-learning algorithms. Students learn to apply these constructs in modelling pharmacokinetic systems, predicting drug-release behaviour, and optimizing formulation design. Practical modules include matrix-based simulations, neural-network demonstrations, and applications of Python for data handling and visualization. The course further explores AI-driven pharmacy operations, such as automated dispensing, inventory forecasting, and error detection, highlighting how machine learning improves workflow efficiency and medication safety.

Bhimrao Ramji Ambedkar was born on 14th April, 1891 in a family of social outcasts, was a direct victim of social discrimination and inequality in both opportunities and standard of living. Yet he had overcome all odds to become the Father of the Indian Constitution and contributed monumentally towards eradicating poverty and improving the quality of life of marginalised communities in India This rationale is the basis of this paper. In 2015, the United Nations adopted seventeen Sustainable Development Goals as a universal call to action to end poverty and reduce socio-economic divide. More than 165 countries have adopted and are striving to achieve the SDGs. However, reports indicate that most of the nations are too far from achieving the SDG goals by 2030. Across all 17 goals, Sweden tops the list of countries surveyed, where as India ranked around 120.

Online Assessment enables the evaluation of people?s specific abilities, behaviours or characteristics by using the web technologies available via the Internet. The majority of hiring managers find themselves in a situation where they lack the rigorous evaluation techniques and practical insights needed to perform effective candidate screening. Finding the most sought-after employees without a data-driven screening procedure is akin to looking for a needle in a haystack. Additionally, companies have always used resumes and interviews to learn as much as they can about. Online assessments require candidates to complete a number of tests or questionnaires. The tasks and competences required for the open post usually dictate the combination of these exams and questionnaires.

Pharmacovigilance plays a key role in the healthcare system through assessment, monitoring and discovery of interactions amongst drugs and their effects in human. Pharmaceutical and biotechnological medicines are designed to cure, prevent or treat diseases; however, there are also risks particularly adverse drug reactions (ADRs) can cause serious harm to patients. Thus, for safety medication ADRs monitoring is required for each medicine throughout its life cycle, during development of drug such as pre-marketing including early stages of drug design, clinical trials, and post-marketing surveillance. PV is concerned with the detection, assessment, understanding and prevention of ADRs. The emerging trend in PV is to link premarketing data with human safety information observed in the post-marketing phase.