Volume 14 | Issue 2 |

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Fibroid Uterus, Myomectomy (Laparoscopic/Open), Microwave Ablation, Hysterectomy Risk, Pleural Effusion

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Abstract "Annamaya? pra?amaya? manomaya? vijnanamaya? anandamaya?" -- Taittiriya Upani?ad ("Human existence unfolds through the physical, vital, mental, intellectual, and blissful layers.") Ancient Indian knowledge systems articulate holistic human development through the Panchkosh framework, which integrates the physical, vital, emotional, intellectual, and spiritual dimensions of life. This chapter examines the contemporary relevance of Panchkosh philosophy in sustainable livelihood development through a case-based study of Poddar Sansthan. The chapter proposes a Panchkosh-inspired life skills development model that aligns traditional wisdom with modern socio-economic needs. Drawing on initiatives such as natural dye practices, eco-friendly craft training, community mentoring, and women-centric empowerment programs, the study demonstrates how livelihood development can transcend income generation to foster dignity of labor, ethical discernment, emotional resilience, and cultural identity. By mapping Poddar Sansthan's practices across the five koshas--Annamaya, Pranamaya, Manomaya, Vijnanamaya, and Anandamaya--the chapter highlights a replicable, human-centered framework for inclusive growth. The study contributes to the discourse on Indian Knowledge Systems, sustainable development, and holistic empowerment in contemporary society.

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Keywords Ancient Knowledge Systems,Life Skills, Panchkosh, Poddar Sansthan, Sustainable Livelihoods, Traditional Crafts and Women Empowerment

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People in jobs that take them into the field - for example, solar panel installers, telecom staff, and those in rural health - very often find themselves working in tricky outdoor settings, where they don't have much in the way of connection, the paperwork isn't always complete, and there are real dangers to their safety. This study creates an augmented reality (AR) "cognitive twin" for outdoor use, which is aware of what's going on around it, and is meant to be a clever helper for people doing this sort of work; it does this by 'seeing' what is there, working out what stage of the job has been reached, and then giving the user guidance, in real time, as pictures shown on a phone or AR headset. The system puts together computer vision which works on the device itself, plus sensors for movement, direction, and location, and a simple chart of what the job involves, to spot equipment, tools, and each part of the process. A section of the system then makes up what to do next, warnings and alerts about anything unusual, based on what it can 'see' and what the user is doing. To deal with the problems usually found when things don't have much in the way of resources - such as light which is always changing, things being hidden from view, and a connection to the internet which comes and goes - the design puts most of the work into the device itself, and only sends the hardest parts to a cloud computer when there is enough bandwidth. A first version has been made for checking and repairing solar panels, and helps to name the equipment, gives step-by-step inspection lists, and makes paperwork automatically. A review using several methods, with engineers in the field, puts the new system next to the usual paper or PDF instructions on a mobile device, looking at how long the job took, how many mistakes were made, how well people knew what was happening, and how much thinking the job needed. The results should show that this AR cognitive twin can cut down on mistakes in the process and the amount of mental effort needed, while also making things safer and the paperwork better; and this shows how it could be used as a general way of helping with risky work in the field in energy, telecom, and rural health.

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Augmented reality, cognitive twin, context aware assistance, field work support, outdoor AR

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Amitav Ghosh's Sea of Poppies offers a compelling ecocritical perspective on colonialism and its environmental repercussions in nineteenth-century India. The novel centers on the British-imposed opium cultivation, which not only devastates human lives--as seen in Hukum Singh's death from addiction--but also disrupts ecological balance. Forced monoculture replaces food crops, leading to famine and biodiversity loss. Ghosh symbolically shows how opium alters animal behavior, highlighting its broader environmental impact. The narrative critiques colonial scientific institutions through the limited role of a French botanist, whose work contrasts with the deep ecological respect embodied by Paulette, a "child of nature." Women like Deeti and Sarju preserve seeds, symbolizing resistance, continuity, and ecological hope. The Ganga River stands as a spiritual and ecological force, offering sustenance and prophetic vision. Through these elements, Ghosh underscores the deep environmental degradation, loss of indigenous knowledge, and spiritual disconnection wrought by colonial exploitation.

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Colonialism, Opium, Environment, Ecological degradation, Spirituality

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This research integrates empirical findings on Java inheritance usage from over 100000 classes, showing 75% participation in shallow hierarchies, with JVM Garbage Collection (GC) dynamics. While deep subclass chains elevate GC overhead via object promotion, JDK 25's G1 default, compact headers, and Generational ZGC/Shenandoah mitigate these costs by 20-30%. We propose a novel framework correlating inheritance depth metrics with GC traces validated conceptually against Qualities Corpus trends advocating composition over deep inheritance for the modern JVM.

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Inheritance Patterns and JVM Garbage Collection: An Empirical Analysis Enhanced by JDK 25 Innovations

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Abstract: Education has always been the foundation of civilization and progress. It is not merely the transmission of knowledge but the cultivation of human potential, creativity, and social consciousness. In the twenty-first century, humanity faces rapid technological changes, environmental crises, global inequalities, and shifting socio-political landscapes. To address these challenges, educational reform must move beyond rote learning and outdated paradigms to embrace inclusivity, innovation, and holistic development. This paper explores the necessity of educational reform, the shortcomings of current systems, and the pathways toward a more equitable, future-ready, and transformative model of education. By integrating digital literacy, experiential learning, ethical values, and sustainability, education can truly become the vehicle for building a better tomorrow.

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Education, Educational Reform, Digital Literacy, Holistic Development.

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Lokbhashela Dharamik Va Sahityik Darja Denyat Mahanubhav Panthachi Bhumika

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Lokbhashela Dharamik Va Sahityik Darja Denyat Mahanubhav Panthachi Bhumika

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ABSTRACT Thyroid hormones, including thyroxine (T4) and triiodothyronine (T3), play a crucial role in regulating growth, metabolism, and reproduction in fish. Studies also indicate that thyroid hormones can affect gonadal steroid syntheses and sexual maturation in fish. This study enhances our understanding of the multi hormonal control of teleost metabolism and provides a baseline for molecular investigations. The present experiment was done during the off period of their breeding season. Testosterone is an anabolic steroid, and research on its impact on thyroid function, especially in fish, is pretty-specific generally, steroids can influence thyroid function, but outcomes vary based on species, dosage, and duration. Testosterone and thyroxine have significant effects on the thyroid gland of Clarias batarachus.

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Keywords: - Clarias Batarachus, Testosterone Propionate, Thyroxine, Thyroid Hormones, and Metabolism.

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The rapid adoption of electric vehicles (EVs) has significantly increased the importance of reliable battery health monitoring to ensure operational safety, performance optimization, and extended battery lifespan. Conventional battery management systems (BMS) primarily rely on threshold-based and model-driven techniques, which often lack adaptability to dynamic operating conditions and early fault detection. To address these limitations, this paper presents an intelligent EV battery health monitoring system using TinyML, designed for real-time, edge-level inference on resource-constrained embedded hardware The proposed system integrates voltage, current, and temperature sensing using a lithium-ion battery pack interfaced with an ESP32 microcontroller. A lightweight TinyML model is trained offline using experimentally collected battery parameters and deployed on the microcontroller using TensorFlow Lite for Microcontrollers. The model performs on-device inference to classify battery health conditions into predefined states such as healthy, warning, and critical, enabling proactive fault detection without dependency on cloud-based computation. Real-time battery parameters and health status are transmitted to a cloud platform using Wi-Fi connectivity for remote monitoring and visualization. Experimental results demonstrate that the proposed system achieves reliable health classification with low inference latency and minimal memory footprint, making it suitable for embedded EV applications. The system offers a scalable, low-cost, and energy-efficient solution for intelligent battery health monitoring, highlighting the potential of TinyML-based edge intelligence in next-generation EV battery management systems.

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TinyML, Electric Vehicle Battery Health, Edge Intelligence, Internet of Things (IoT), ESP32, Lithium-Ion Battery

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India's gig economy is expanding at a fast rate as it is providing certain flexibilities to workers and now emerged as a point of discussion among policymakers. However, the compatibility of the gig economy with sustainable development goals is a largely untouched area of research in terms of policy compliance. The existing research is primarily focused on the implications of the gig economy in terms of jobs and working conditions, without addressing the research gap on the compatibility of gig economy governance with the SDGs, leaving the area ripe for further inquiry. This paper addresses this gap by examining the policy dealing with the gig economy in India against the selected SDG targets, namely SDG 8.5, SDG 8.8, SDG 10.4, and SDG 16.6. The study uses a qualitative analysis of secondary data sources, which includes labour legislation, government policy documents, SDG indicator frameworks, and international labour standards. Major policy guidelines for gig economy or platform workers were identified against the Sustainable Development targets through an alignment scorecard. The result shows that the Indian policy for the gig economy was able to identify gig economy work, but there is only partial and uneven alignment as per the SDGs. Social protection measures are divided and lack unity; labour laws are not enforceable, and institutional coordination is poor. The paper suggests that without specific integration of SDG into gig economy governance, serious risks regarding regulation will continue instead of contributing to sustainable development. It concludes with the targeted policy recommendations to improve the SDG compatibility of gig economy regulation in India.

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Gig economy; Sustainable Development Goals; Labour regulation; Social protection.

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