Volume 13 | Issue 8 |

 Abstract

This study explores the impact of Emotional Intelligence (EI) on Job Satisfaction (JS) among professionals in select IT organizations. Recognizing the growing importance of non-technical competencies in workplace performance, the research investigates the relationship between EI and JS, examines the predictive influence of EI on satisfaction levels, and identifies specific EI dimensions that significantly contribute to job satisfaction. A descriptive and analytical methodology was employed, with data collected from 100 IT professionals using standardized instruments--the Wong and Law Emotional Intelligence Scale and Spector's Job Satisfaction Survey. Statistical analysis using SPSS revealed a moderate to high prevalence of EI and JS among respondents. Regression results confirmed a significant positive impact of EI on JS, with EI explaining 34% of the variance. Further dimensional analysis highlighted Regulation of Emotion and Use of Emotion as the strongest predictors of job satisfaction. The findings underscore the strategic value of emotional intelligence in enhancing employee well-being and organizational effectiveness, recommending its integration into HR and leadership development initiatives within the IT sector.

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 Keywords

Emotional Intelligence, Job Satisfaction, Work environment, IT organizations.

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Creative Commons Attribution 4.0 and The Open Definition

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Shelf life determination of pharmaceutical products is a critical process in ensuring drug safety, efficacy, and quality over time. It involves evaluating how a drug product degrades under various environmental conditions and estimating the period during which it remains within acceptable specifications. Stability studies, guided by ICH Q1A (R2) guidelines, are essential in this process and form a key part of regulatory submissions. These studies include real-time and accelerated stability testing, retained sample testing, and cyclic temperature stress testing. Factors like pH and temperature significantly influence the rate of degradation, often illustrated using pH-rate profiles. Forced degradation studies, involving hydrolytic, oxidative, photolytic, and thermal stress, help validate the robustness of stability-indicating analytical methods. Techniques such as HPLC-UV, LC-MS/MS, HPTLC, and others are commonly employed for stability analysis. For estimating shelf life, methods including the FDA-recommended approach, direct and inverse methods, simulation techniques, and the Garrett and Carper model are applied. Together, these methodologies provide a scientific foundation for determining the shelf life of pharmaceutical products, supporting drug development, formulation optimization, and patient safety.

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 Keywords

Self Life Evaluation, Stability Testing, Forced Degradation Testing, PH Rate profile, Solution Kinetics.

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Transport-related accidents within major Indian ports constitute a significant portion of total reportable incidents. A five-year analysis (2015-2019) reveals that, on average, 33% of all reportable accidents are transport-related and not directly linked to cargo handling or dock operations.

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Transport Safety, Major Ports, Dock Safety

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Creative Commons Attribution 4.0 and The Open Definition

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Smart materials are engineered substances that can change their physical or chemical properties when exposed to certain external stimuli. They have emerged as transformative components in dentistry including modern orthodontics. These materials offer dynamic functionality and adaptability in clinical settings, enhancing treatment effectiveness, appliance precision, and patient experience. This review synthesizes current knowledge on smart materials used in orthodontics, including their classification, working mechanisms, clinical relevance, benefits, challenges, and future scope.

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 Keywords

Smart materials, Orthodontics, Shape memory alloys, Shape memory polymers,Nanotechnology.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Multiple System Atrophy (MSA) is a rare, rapidly progressive neurodegenerative disorder characterized by various combinations of autonomic dysfunction, parkinsonism, and cerebellar ataxia. While often misdiagnosed as Parkinson's disease (PD) or progressive supranuclear palsy (PSP), MSA follows a more aggressive course with distinctive neuropathology. This study aims to elucidate MSA's clinical heterogeneity and identify key biomarkers and pathological mechanisms underlying its progression. Through a combination of retrospective cohort analysis, cerebrospinal fluid (CSF) biomarker assays, neuroimaging review, and neuropathological examination, we investigate diagnostic accuracy, disease progression, and overlaps with other synucleinopathies. Results demonstrate that MSA patients exhibit distinct CSF ?-synuclein oligomer patterns, greater cerebellar atrophy on MRI, and more rapid autonomic decline compared to matched PD patients. These findings support the hypothesis that MSA represents a distinct alpha-synucleinopathy with unique neurodegenerative trajectories. Limitations include small sample size and retrospective design. We propose future longitudinal and multi-center studies to validate biomarkers and refine disease-modifying therapeutic targets.

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Multiple System Atrophy, neurodegeneration, ?-synuclein, biomarkers, MRI atrophy, parkinsonism

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Creative Commons Attribution 4.0 and The Open Definition

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Despite progressive policies recognizing transgender rights in India, significant challenges remain in translating legal protections into meaningful welfare outcomes. Kerala has been a pioneering state, introducing a comprehensive transgender policy in 2015 that addresses education, healthcare, housing, and employment. While these initiatives reflect a progressive vision, persistent gaps exist between policy intent and lived experiences. Transgender individuals continue to face social stigma, limited access to essential services, and barriers to economic participation, highlighting the need for more effective implementation strategies. This conceptual paper proposes an integrative framework to bridge the gap between policy and practice in Kerala. The framework emphasizes four interconnected dimensions: responsive policy design, strengthened institutional capacity, community empowerment, and promotion of social acceptance. By linking these dimensions, the model aims to ensure that welfare measures are not merely symbolic but result in tangible improvements in the lives of transgender individuals. The paper highlights the importance of participatory governance, capacity building, and cultural change as essential components for sustainable transgender welfare. By offering a structured approach, the framework provides actionable insights for policymakers, civil society, and practitioners seeking to advance inclusion and equity. Ultimately, it positions Kerala as a potential model for comprehensive transgender welfare that balances policy intent with real-world outcomes.

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Key words: Transgender, transgender policy, social stigma

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Machine learning algorithms developed on large- scale audio datasets have helped AI-generated music make a lot of progress in the last few years. This paper talks about a music generation system that works for a specific genre and improves Meta's MusicGen model by using the Free Music Archive (FMA) dataset. A mobile app built with React Native lets users choose a genre and create, play, share, or download music interactively. The research discusses about the architecture, data preprocessing techniques, model fine-tuning strategies, integration with mobile apps, and changes made to address challenges with the base MusicGen model.

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Music Generation, Generative AI, MusicGen Model, Deep Learning, Neural Networks, React Native, Mobile Application, Fine-tuning, Audio Synthesis, Conditional GANs, Music Information Retrieval, Artificial Intelligence, Audio Pro- cessing, Genre-specific Music, Transfer Learning.

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ABSTRACT -- We present a technique for identifying surface flaws in railroad tracks using the YOLOv8 model, which is designed to overcome the challenges of detecting small and hidden targets. To improve the model's attention mechanism, we replace the original folding of YOLOv8n with the SPDCONV block while maintaining the backbone network and the overall architecture of the original model. We also integrate the EMA Atones mechanism into the neck component, enabling the model to leverage data from various attributes and enhancing its feature representation capabilities. Additionally, we replace the original CIOU loss function with YOLOv8's Focus SIOU loss function, which adjusts the weights of positive and negative samples to better penalize difficult examples. This modification significantly enhances the model's ability to detect challenging instances, ensuring that each target receives more focused attention from the network. As a result, the model's overall performance and effectiveness are improved. Experimental results provide compelling evidence of the improved algorithm's enhanced accuracy and recall. Compared to the original YOLOv8n model, the extended version achieves average accuracy, recall, and precision rates of 93.9%, 93.7%, and 91.1%, respectively, reflecting improvements of 3.6%, 5.0%, and 5.7% . Notably, these gains are achieved without increasing the number of parameters or the size of the model. The improved method demonstrates high effectiveness in detecting surface flaws on railroad tracks.

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A. Station module: The Station Module is engineered to track platform availability via infrared sensors, facilitating effective train scheduling and routing. Future enhancements could involve the integration of cloud-based analytics and AI- powered dispatch systems, enabling real-time platform assignments based on train locations, traffic levels, and delay forecasts. Furthermore, linking the Station Module to a centralized control network would allow for synchronized management across various st

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This study investigates the influence of metakaolin (MK) and colloidal silica (CS) as partial replacements for cement on the mechanical properties of M60 grade concrete. Four mix proportions with varying MK (10% to 30%) and CS (0% to 6%) were evaluated for compressive strength, split tensile strength, and flexural strength at curing periods of 7, 14, and 28 days. Results indicate that the mix containing 10% metakaolin and 2% colloidal silica (MD2) exhibited the highest compressive strength, achieving up to 37% greater strength than the conventional concrete at 28 days. Split tensile and flexural strength tests showed improved performance with lower percentages of colloidal silica, with the optimal tensile strength also observed in the MD2 mix. Higher replacement levels (20%-30% MK and 4%-6% CS) led to a decrease in tensile and flexural strengths and did not consistently improve compressive strength beyond early curing ages. The findings suggest that 10% metakaolin combined with 2% colloidal silica is the most effective replacement for enhancing the overall mechanical properties of M60 grade concrete.

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 Keywords

Metakaolin, Colloidal Silica, M60 Grade Concrete, Compressive Strength, Split Tensile Strength, Flexural Strength.

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Abstract Abstract : aper is focused on the precarious circumstances of the Particularly Vulnerable Tribal Groups through out the country with special reference to the PVTGs of Andaman and Nico bar Islands. For better understanding, a brief description is given on the criteria on the basis of which some of the tribes are identified under this category. The PVTG is the concept substituted by primitive tribe, a sub-group among the Scheduled Tribes was identified during the fifth plan owing to their backwardness. In 1973, the Dhebar Commission introduced the concept to prioritise their protection and development as development has been slow among them and some of them are still at the stage of hunting and food gathering and yet to cultivate the land. There are 75 PVTGs who inhabit in Northern, North-Eastern, Eastern, South-Western, Southern and middle regions of India. However, thirteen types of PVTGs are found in Odisha alone which is highest among the states and Union Territories. There are twelve PVTGs whose population is more than 50,000. The Sahariya of Rajasthan and the Kutia-Kandha of Odisha have a sizable population. However, some of them show a declining trend of population and have become engendered human groups like the Great Andamanese, the Onge, the Jarwa and the Shompen of Andaman and Nico bar islands and the Toto of Jalpaigudi in West Bengal. It is anticipated that one day they may extinct. All of them belong to the PVTGs except the Nicobarese whose population is above 50,000 and it is hig... On the other hand, all other communities are found to be vulnerable according to the criteria fixed by the ministry. Among many factors, the British interference into their life has made irreparable damage as a result of which a kind of infection has spread among them. The disease seems to be incurable due to which there has not been population growth among them. The public interference, loss of autonomy to their land, the exchange of food items with outsiders have opened many ways of exploitation of the isolated groups. The Great Andamanese, the Onge as being friendly have become the pray of the conspiracy of the so called civilized people. On the other hand, the Sentinelese being the most isolated tribe who never interact with anyone not even with the other tribal groups in the island. They never allow anyone to enter into their residential area and remain independent of foreign relations. Therefore, have comparatively more number of population. Owing to their vulnerability, the Andaman administration has taken all the responsibilities of by providing free ration, medical care, etc. However, there is no option left for them to be recovered. The philanthropists, social workers, researchers, NGOs are urged to collaborate with the Government to rehabilitate the engendered PVTGs of the island.

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 Keywords

Particularly Vulenrable British Interference Consult Consequences Infectious Disease, Engendered Group,Irreparable Harm,Declining Population

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