Volume 13 | Issue 6 |

 Abstract

This study explores the embracing and implementation of Human Resource (HR) analytics tools in the Fast-Moving Consumer Goods (FMCG) industry in Hyderabad, focusing on their impact on workforce management and organizational planning. The research examines the challenges faced by FMCG companies in integrating HR analytics into their operations and evaluates its role in enhancing employee performance, retention, and organizational efficiency. A section size of 200 respondents from diverse FMCG organizations was surveyed to assess the perceptions and experiences of HR professionals and managers. The study employs descriptive statistics, correlation, regression, and ANOVA analysis to explore the relationships between HR analytics and organizational outcomes. The findings indicate a positive influence of HR analytics on tactical decision-making processes, but also highlight several confronts in its adoption, such as confrontation to change as well as the lack of adequate infrastructure. The study concludes by providing recommendations for enhancing the effectiveness of HR analytics in FMCG companies and contributes to the mounting body of knowledge on the strategic part of HR analytics in improving organizational performance.

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Keywords: HR analytics, FMCG industry, workforce management, organizational planning, employee performance

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Creative Commons Attribution 4.0 and The Open Definition

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This paper is an attempt to evaluate progress made by the Rashtriya Madhyamik Shiksha Abhiyan, which aims to improve the quality of secondary education in India. It intends to access the progress made toward achieving the overall goals of this programme in Uttar Pradesh, the largest child populous state of the nation, namely, providing access to secondary education, declining drop-out rate, repetition rate and increasing internal efficiency rate. It also accesses the extent to which gender disparities and differences between social groups such as scheduled castes and tribes and others have been reduced in respect of the outcome. Also, interventions to facilities, access to schooling, to ensure social equity, quality of education and more importantly allocation of plan expenditure in the state appear to have had an impact.

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Secondary Education, Gender, Quality, Equity, Fund Allocation.

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Creative Commons Attribution 4.0 and The Open Definition

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The aim of this research is to automate and enhance the inspection process of educational institutions using Artificial Intelligence. Traditional inspections often suffer from inefficiencies and lack of transparency. To address this, an AI-driven inspection system was developed, integrating image processing, document analysis, and geolocation verification. The system utilizes OpenCV and PyTesseract for detecting facility conditions such as cleanliness, damage, and fire safety compliance from images. Furthermore, document uploads are analyzed using NLP to extract key details like faculty qualifications and institutional compliance. A GPS-based authenticity check ensures the submitted data is genuine and captured on-site. MongoDB is used for structured data storage and retrieval, while Streamlit serves as the user interface for inspection and reporting. The results include real-time inspection summaries, visual analytics, and automated compliance scoring, significantly improving efficiency and accuracy in the inspection process. The project demonstrates the practical application of AI in institutional quality assurance and serves as a scalable solution for governing bodies and educational boards.

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AI Inspection, Image Analysis, Document Parsing, GPS Authentication, Institutional Compliance, Educational Evaluation.

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In industrialized nations, migration has added to the richness of racial, ethnic, and cultural diversity. People who migrate face a variety of stressors that can affect their mental health, such as adjusting to a new society, changing their identity and self-concept, and losing social support networks, religious traditions, and cultural norms. It is true that certain immigrant groups have higher incidence of mental illness. To effectively meet the needs of this growing and vulnerable population, mental health professionals must be sensitive to the particular pressures and cultural elements that impact immigrants and refugees. Reviewing the ideas of migration, cultural loss, and cultural identity, this essay will investigate how these three facets of a migrant's experience and cultural congruity are related to one another. The elevated incidence of mental illness in impacted migrant groups are thought to be mostly caused by the intricate interactions between biological, psychological, and social factors, as well as the migration process, cultural grief, cultural identity, and cultural congruity.

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Keywords: Migration, mental illness, impact, cultural identity, cultural congruity, interaction.

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Duchenne Muscular Dystrophy (DMD) is a rare and severe genetic disorder that primarily affects young boys, leading to progressive muscle weakness and disability. This article provides a comprehensive overview of DMD, including its etiology, clinical manifestations, diagnostic methods, treatment options, ongoing research efforts, and potential future therapies. By exploring the underlying genetic mutation, pathophysiology, and impact on affected individuals and their families, this article aims to shed light on the challenges faced by patients with DMD and the strides made in understanding and managing this debilitating condition. Duchenne Muscular Dystrophy (DMD) is a rare and debilitating genetic disorder that primarily affects young boys, causing progressive muscle weakness and loss of mobility. This paper provides an in-depth examination of the pathophysiology, genetic basis, clinical manifestations, diagnostic methods, and current therapeutic strategies for DMD. The disorder arises from mutations in the dystrophin gene, leading to the absence of this essential protein in muscle cells. As a result, muscle fibers are susceptible to damage and degeneration, ultimately leading to severe muscle wasting. Early diagnosis through genetic testing and clinical evaluation is crucial for timely intervention, as the natural course of the disease is characterized by loss of ambulation and life-threatening complications. Various therapeutic approaches, such as corticosteroids, physical therapy, and emerging gene-based therapies, are discussed in detail. This review aims to provide a comprehensive understanding of DMD and highlight the ongoing research efforts to improve the quality of life for affected individuals.

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Duchenne Muscular Dystrophy (DMD), Genetic disorder, Dystrophin gene Muscle weakness, Clinical manifestations, Physical therapy.

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Creative Commons Attribution 4.0 and The Open Definition

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Large amounts of e-waste produced by electrical and electronic gadgets are found all over the world nowadays and have turned into a global ecological concern. Because certain components of various electronic devices include compounds that are hazardous due to their density and conditions, e-waste is considered harmful. These materials' hazardous content poses a risk to both the environment and human health. Its deadly compounds combined with soil, water, and air have a dangerous direct or indirect influence on all biodiversity. The study's foundation is a survey of the literature on the effects of electronic waste on the environment and human health. It was determined that there was a massive production of e-waste and that there were insufficient and inappropriate measures in place to handle it. Additionally, it was shown that e-waste had a significant negative influence on both the environment and human health.

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E-waste, electrical and electronic equipment, EEE, environment, human health.

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Creative Commons Attribution 4.0 and The Open Definition

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The Tibetan Crisis, rooted in China's 1950 annexation of Tibet and the subsequent 1959 uprising, has significantly shaped Sino-Indian relations, with the Dalai Lama, Tenzin Gyatso, playing a pivotal role as both a spiritual and political figure. Fleeing to India in 1959 after the failed Lhasa uprising, the Dalai Lama established the Central Tibetan Administration (CTA) in Dharamsala, creating a government-in-exile that has been a persistent irritant in Sino-Indian diplomacy. This abstract explores the Dalai Lama's evolving role, from leading Tibet's resistance to advocating the Middle Way Approach for autonomy within China, and its implications for Sino-Indian relations. Initially, India's hosting of the Dalai Lama and Tibetan refugees strained ties with China, contributing to tensions culminating in the 1962 Sino-Indian War. China's suspicion of Indian support for Tibetan activities, despite India's official stance limiting the Dalai Lama to religious and cultural roles, continues to fuel mistrust. The Dalai Lama's international advocacy, including his 1987 Five-Point Peace Plan and global travels, has amplified Tibet's cause, aligning it with Western support and complicating India's balancing act between supporting Tibetan exiles and managing relations with China. This research offers a structured historical and theoretical analysis of India-China relations, focusing on the Tibet issue and the Dalai Lama's influence from 1947 to the present. It employs international relations theories to contextualize the conflict and proposes pathways for peaceful resolution. The findings aim to contribute to understanding the geopolitical complexities of the Tibetan crisis and its impact on Sino-Indian relations, offering insights for future diplomatic strategies.

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Tibetan Crisis, Sino-Indian War, Dalai Lama, Five Point Peace Plan

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Creative Commons Attribution 4.0 and The Open Definition

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Agriculture is a rapidly growing sector worldwide due to the increasing population. One of the main challenges in agriculture is improving farming efficiency and quality without constant physical monitoring to meet the rising food demand. Additionally, climate conditions pose significant challenges to the agricultural industry. The aim of this research paper is to propose a smart farming model based on the Internet of Things (IoT) using clustering techniques to address adverse conditions. In this model, various sensors such as soil moisture, temperature, rain detection, and humidity, water level sensors are utilized for different purposes. The collected data will be stored in the cloud and processed automatically. Smart agriculture can be adopted through crop control, data collection, and automated analysis. The purpose of this paper is to demonstrate how IoT can be implemented in monitoring humidity, soil conditions, temperature, water supply levels, and climate conditions. The proposed IoT-based Smart Farming System integrates different sensors and a Wi-Fi module to produce live data feeds that can be accessed online. Agriculture is very important for the growth of any country. However, even in today's technology-driven world, most farmers still use old-fashioned, manual methods of farming. To reduce the need for too much physical work and constant checking, this study introduces an automatic farming system using the Internet of Things (IoT).This system uses sensors and a small computer (like a Raspberry Pi) to monitor and control basic farming tasks such as: Watering plants, Turning lights on or off in greenhouses, Alerting farmers about important issues. The system also sends important information--like water levels, temperature, and humidity--to a central server and directly to farmers. This helps farmers keep track of their farms more easily and can also be useful for further research in agriculture. If many farms use this system, the collected data can help improve farming methods for everyone.

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 Keywords

IoT, Sensors, Cloud, Smart farming.

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Creative Commons Attribution 4.0 and The Open Definition

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North East India is affected by a deficit in animal origin protein. The region represents the highest per capita consumption however farmers are unable to meet the demand. The consumers rely on meat, fish and eggs imported from rest of India leading to high per unit price of protein. While ICMR nutritional estimates indicate a 25 Kg annual protein demand for adults, studies peg protein uptake in India at 5-6 Kgs annually. The Animal Husbandry department of Assam estimates a state wide shortfall of 316 thousand tonnes of meat. National Statistics data indicates that North Eastern states spend the highest share of household food budget on meat within India. Our study focussed on stakeholders, entrepreneurs and farmers from across Assam to identifying the animal protein with acceptable economic, social and environmental indicators for policy level support. The study focussed on Assam as the hub of production and North East India as the market. Environment, Social and Governance (ESG) parameters were evaluated in conjunction with Triple Bottom Line (TBL) Considerations and the results were analysed using CRISILS ESG scoring methodology. Keywords: Protein deficit, Green House Gases (GHG) emission, Triple Bottom line (TBL), Environment, Social and Governance (ESG) New Enterprises, Agri Business Incubators, Women first commodity. JEL Codes - J16, M21, M41, Q1, Q11, Q13, Q51

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Triple Bottom Line (TBL), ESG as a factor in policy making for small businesses, Women in agri business, Incubation services,

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This paper addresses this critical need by proposing an AI-driven multimodal cyberbullying detection system that integrates Natural Language Processing, Computer Vision, and Deep Learning techniques. By leveraging large-scale, diverse datasets and advanced feature fusion methods, the system aims to significantly improve detection accuracy and reduce false alarms. The proposed approach supports safer digital environments, empowering platforms to proactively identify and mitigate cyberbullying across multiple media formats, thus protecting vulnerable users more effectively than existing unimodal solutions.

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Creative Commons Attribution 4.0 and The Open Definition

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Cyberbullying, Multimodal Machine Learning, Natural Language Processing, Computer Vision, Deep Learning, Social Media Analytics

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Creative Commons Attribution 4.0 and The Open Definition