Volume 12 | Issue 12

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Paryavarniya Sankat Evam Satat Vikas : Chunautiyan Evam Samadhan

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Paryavarniya Sankat Evam Satat Vikas : Chunautiyan Evam Samadhan

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Psychological well being is an important aspect of positive psychology. Psychological well being is a state in which an individual can function to his full potential. The objective of this study was to measure the effect of psychological wellbeing among disability rehabilitation professionals. Sample for this research was twenty five disability rehabilitation professionals. Data was collected using semi structured interview method. Pilot study was conducted. Six major dimensions of psychological wellbeing proposed by Ryff was used as predetermined themes for this study. Interview was focused to identify factors that effect each theme. And on the basis of data collected and analysed subthemes were emerged under each theme. Predetermined themes used of this study were autonomy, environmental mastery, purpose of life, positive relationship with others, self acceptance and personal growth. A total of eighteen subthemes emerged under the predetermined themes in this study. Finding of this study enabled to get an in depth understanding about various factors influencing psychological well being. The study also suggested ways to improve psychological well being.

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Psychological well being, Disability, Rehabilitation, Qualitative research, Phenomenology.

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Pilonidal sinus is a chronic disorder mainly seen in the sacrococcygeal region, especially in young males. Different surgical methods have been described for this disease such as Excision and primary closure and excision with reconstructive flap. However the risk of recurrence of developing on infection of the wound after operation is high. Among eight types of Nadi Vrana, Shalyaja Nadi Vrana can be considered as pilonidal sinus as 'Bala Shalya' (hair) is an important factor in causing the Shalyajanya Nadi Vrana. Acharya Sushruta has advocated a minimal invasive parasurgical treatment viz. Apamarga Ksharasutra for Pilonidal sinus (Shalyaja Nadivrana) which helps in removing the unhealthy tissues and promotes healing. Hence this procedure was done for 17 year old boy with pilonidal sinus. Apamarga Ksharasutra was changed by rail road method till the complete cutting of the tract. Assessment of pain, pus discharge, itching, tenderness and length of the sinus tract was done in every follow up. The tract showed complete closure by 4 weeks, with no recurrence.This treatment is not only minimizing complication, but also enables the patient to resume work quickly and with less discomfort. Over time, the healthy tissues regenerate, and the tract gradually closes and heals.

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Pilonidal sinus, Nadivrana, Apamarga Ksharasutra, Case Study

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The integration of the Internet of Things (IoT) with smart drug delivery systems represents a transformative advancement in personalized healthcare. By leveraging advanced devices, sophisticated sensors, and real-time data analytics, IoT-based systems enable precise, targeted, and adaptive drug delivery tailored to individual patient needs. Wearable and implantable devices such as infusion pumps, smart pens, inhalers, and auto-injectors form the cornerstone of this technology, offering enhanced efficacy, safety, and patient compliance. This review article provides an in-depth analysis of the latest developments in IoT-based smart drug delivery systems, focusing on the design, functionality, and potential applications of wearable devices. Furthermore, it examines the challenges hindering widespread adoption, including data security and privacy concerns, regulatory hurdles, interoperability issues, and the reliability of these systems in real-world scenarios. By addressing these challenges and highlighting emerging solutions, this review aims to pave the way for the safe and efficient use of IoT-enabled drug delivery technologies in healthcare, ultimately improving patient outcomes and transforming modern therapeutics.

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Internet of Things (IoT), wireless drug delivery, Wearable Devices, healthcare IoT, internet of things, wearable smart drug delivery devices, wireless body area networks (WBANs).

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synthetic fillers in jackets provide warmth but raise environmental concerns due to their reliance on virgin synthetic fibers with high carbon footprints. this project explores sustainable alternatives by developing a jacket filler from a kapok-recycled polyester blend. kapok, a natural, biodegradable, and hydrophobic fiber, combined with recycled polyester, supports circularity and reduces plastic production. the jacket's shell uses regen agri cotton for durability and protection. this design prioritizes breathability, lightweight insulation, and durability. performance testing assesses the filler's effectiveness compared to conventional synthetics, aiming to reduce garment production's environmental impact and promote eco-conscious innovation in the fashion industry

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kapok fibre, eco friendly appaerel, sustainable insulation, recycled polyester

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In this paper, we provide details on an advanced framework for building chatbots, the Chatbot for Department of Justice (DOJ), designed to help users with inquiries concerning the judiciary system that accesses natural language processing (NLP) and machine learning technologies. The framework uses the BERT transformer architecture, which allows it to understand the semantic content of legal and procedural queries effectively. Other advanced features are present, such as keyword extraction features, question classification, and answer evaluation, ensuring a balance between precision and flexibility in the responses. There is also a search chatbot that has a preprocessing pipeline, such as lemmatization and stop word removal, which makes the answers crisp[2]. Dynamic keyword weighting and adaptive fallback mechanisms were also deployed in the system to handle poorly framed questions. The experimental results show considerable enhancement in the accuracy of the response and an increase in user attention, thereby making it easy to recommend such a framework for conversational systems for judiciary purposes.

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Natural Language Processing (NLP), BERT Transformer Architecture, Lemmatization, Query Augmentation, Procedural Questions, Cosine Similarity, User Satisfaction, Legal Queries.

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Combining the interpretability and uncertainty management of fuzzy logic with the hierarchical feature extraction capabilities of deep neural networks creates a potent hybrid framework. This synergy is especially useful in complex decision-making and prediction problems since it tackles difficulties with interpreting imprecise, noisy, or ambiguous input. Applications are found in many different fields, including autonomous systems, natural language processing, and medical diagnostics. New developments include using deep models to automatically construct fuzzy membership functions, optimizing fuzzy rules with learning algorithms, and integrating fuzzy layers in deep networks. By improving the scalability and openness of AI models, this hybrid method opens the door for reliable and understandable answers to practical issues.

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Deep Learning, Fuzzy Systems, Hybrid Models, Uncertainty Management

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Bioactive materials have had a great impact on restorative dentistry, favoring the longevity of restorations, cell stimulation for dentin repair, increasing adhesive resistance, and reducing the recurrence of cavities and bacterial microfiltration. This article focuses on different bioactive materials and their significance in pediatric dentistry because these materials are crucial to pediatric dentistry. By speeding up the regeneration and repair of damaged tissues, tissue bioengineering helps science create and expand new treatments and/or new biomaterials that restore, enhance, or stop the decline of compromised tissues' function. To develop bioactive materials that mimic and replace the natural structure of teeth and surrounding bone, more research is needed. Newer concepts of adhesion and incorporation may change dentistry and dental care in the future.

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Dental Materials, Bioactive materials, Regeneration, Remineralization

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Excessive exposure to ultraviolet (UV) radiation from the sun is a major cause of skin damage, including sunburn, premature aging, and skin cancer. While traditional sunscreens offer protection, they often contain synthetic chemicals that may have adverse effects on the environment and human health. In this study, we explore the development of UV protection fabrics using natural extracts derived from plants known for their antioxidant and photoprotective properties.

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V-blocking fabrics ,Sun protective fabrics ,Natural dyes , Natural pigments ,Plant extracts

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in recent years, the field of biomedical and life sciences has witnessed significant advancements in the realm of automatic disease detection systems, particularly with a focus on respiratory diseases. Among these, the detection of cough and pulmonary conditions has emerged as a crucial area of interest. This study presents a groundbreaking voice analysis approach designed to detect such respiratory ailments swiftly, costeffectively, and reliably, providing a non-invasive alternative to conventional diagnostic methods. The proposed methodology leverages a Gradient Boosting Machine based classifier as the core component of a novel speech-based respiratory disease detection scheme. A comprehensive set of features, including spectral, cepstral, and periodicity features, alongside spectral descriptors, are extracted from recorded speech samples. These diverse features are seamlessly fused to generate relevant statistical features, serving as inputs to the Gradient Boosting Machine. The performance of the proposed model is rigorously evaluated using speech data spanning thirteen sound categories, sourced from over 50 countries through the incorporation of five standard datasets. This extensive dataset ensures the robustness and generalizability of the model, leading to accurate diagnoses of respiratory diseases, with a particular emphasis on cough and pulmonary conditions. Remarkably, the overall average accuracy of the proposed model, as demonstrated in stratified k-fold crossvalidation tests, exceeds an impressive 97%. The analysis of various performance matrices further underscores the potential and reliability of this innovative approach, emphasizing its practical utility for physicians engaged in the diagnosis of cough and pulmonary diseases. This research significantly contributes to the evolving landscape of disease prediction by introducing cutting-edge voice analysis techniques. The demonstrated success of the proposed model suggests its potential as a valuable tool in the hands of healthcare professionals, offering a streamlined and effective means of identifying respiratory diseases. As technology continues to advance, the integration of such automated systems could play a pivotal role in enhancing the efficiency and accuracy of medical diagnoses, particularly in the context of respiratory health.

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Pulmonary Disease Detection, Cough Sound Analysis, Speech Classification, Gradient Boosting Machine, Respiratory Disease Diagnosis Audio Feature Combination Feature Fusion Non-Invasive Diagnosis, Speech-based Health Monitoring

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A closer look at the world around us reveals that in this 21st century, mankind is facing various challenges, ranging from individual mental crises to environmental crises and ethical value degradation to social inequality. For all these unprecedented challenges, the wisdom of Veda can illuminate our path towards a sustainable life and harmonious evolution of mankind. Vedic teaching focuses. on holistic living, sustainable practice, and society with ethics and values. This study highlights the role of education in reviving Vedic knowledge for developing a healthy society. Through educational institutions, Vedic knowledge can be integrated with the contemporary curriculum that will foster a sense of moral responsibility and values in young minds. A case study was conducted on Viswatma Vidyamandir, a school situated in the Balangir district of Odisha, that integrates Vedic knowledge into its curriculum with modern pedagogical practice which imparts experiential learning for students that not only enriches the educational experience but also inculcates a sense of purpose in the young learner. The physical, mental, psychological, scientific, and spiritual development of students is the basic approach of this Vidya mandir. Objectives of the study are (i) to explore the integration of Vedic knowledge within the modern education system to address contemporary challenges (ii) to analyze its impact on students and the community, and (iii) to find out the challenges in integrating Vedic knowledge within a contemporary educational framework. The findings of the study indicate that the revival of Vedic knowledge fosters a sense of responsibility and ethical awareness in students. It encourages the students to realize their duty towards the community and nation. Although the institution faces various challenges but still, it able to shape its students into responsible citizens who can lead a harmonious society. By reconnecting with the ancient teachings, society can cultivate holistic living as well as sustainable practices which make a great impact on not only the development of individuals but also the whole society. This study calls for a concerted effort to integrate Vedic knowledge into contemporary practices, ensuring its relevance and vitality for future generations.

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Vedic knowledge, sustainable practice, holistic development, 21st century challenges.

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The effectiveness of teachers in secondary schools is a critical factor in students' academic success and overall development. However, the pressures and challenges teachers face in their professional and personal lives can significantly impact their performance in the classroom. Family stress, in particular, has emerged as a crucial factor influencing teacher effectiveness. This article explores the relationship between family stress and teacher effectiveness among secondary school teachers, drawing on existing literature and expert opinions to provide a comprehensive understanding of this issue. Family stress can significantly impact the professional performance of individuals, particularly female teachers, who often juggle the dual responsibilities of work and home. This study investigates the relationship between family stress and teaching effectiveness among female teachers in private schools using a mixed-method approach. The study also examines how these stressors affect their ability to deliver quality education The sample consists of 50 female teachers and quantitative data analysis found that family stress significantly affects teacher effectiveness.

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Teacher effectiveness, family stress, female teachers, private schools

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Electroencephalography (EEG) is a vital non-invasive tool for recording electrical activity in the brain. It offers significant insights into the neural processes and is widely employed in clinical diagnostics, cognitive neuroscience, and brain-computer interface (BCI) applications. However, analyzing EEG signals is a challenging task due to their complex, non-linear, and dynamic nature. Traditional signal processing techniques often fall short in fully capturing the rich information embedded in EEG data. In recent years, Machine Learning (ML) and Deep Learning (DL) algorithms have emerged as powerful alternatives, capable of uncovering patterns and features that are difficult to detect through conventional methods. These advanced techniques offer automated and scalable approaches to EEG signal analysis, enabling applications such as mental state monitoring, epilepsy detection, sleep stage classification, and emotion recognition. Machine learning algorithms, such as Support Vector Machines (SVM), Decision Trees, and k-Nearest Neighbors (k-NN), have demonstrated success in EEG classification tasks. On the other hand, deep learning architectures, particularly Convolutional Neural Networks (CNNs) and Recurrent Neural Networks (RNNs), have revolutionized the field by offering enhanced feature extraction capabilities, leading to more accurate and robust EEG signal interpretation.

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EEG signal analysis, Cognitive neuroscience, Signal processing, Machine learning (ML), Support Vector Machines (SVM), Convolutional Neural Networks (CNNs),

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The complex link between student motivation and school culture is examined in this study report. The significance of creating a welcoming and inclusive learning environment is becoming more and more apparent to educators and legislators, thus it is imperative to comprehend how school culture affects students' motivation. In order to present a thorough examination of the influence of school culture on student motivation, the paper looks at previous research, integrates empirical data, and applies educational psychology concepts. With an emphasis on leadership, connections between teachers and students, and the overall learning environment, this research attempts to further the continuing conversation about successful teaching strategies.

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Motivation, Culture, Educational psychology, child-Behaviour

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India's fast industrialization has led to an increase in environmental deterioration, including soil, water, and air pollution. Consequently, it is now crucial to consider corporate accountability for environmental damage. The Water (Prevention and Control of Pollution) Act of 1974 and the Environmental Protection Act of 1986 are the two main pieces of legislation that hold businesses accountable for environmental harm. In India, even with a legal framework, it is still challenging to enforce corporate convictions for environmental damage. Pollution control agencies occasionally lack the funds required to carry out the Water (Prevention and Control of Pollution) Act, and public awareness of environmental issues and the legal foundation for environmental protection are both deficient. Citizens find it challenging to hold corporations responsible for environmental harm because there are insufficient enforcement resources and little public awareness. This paper looks at corporate accountability for environmental harm in India, the judiciary's role in the legal system, and the challenges of upholding the law.

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industrialization, environmental damage, Environmental Protection Act, enforcement resources, public awareness

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Mathematics education is facing a typical problem due to anxiety and phobia of the students. Various studies show that Gender of the students is a significant factor of anxiety in mathematics. This paper is an attempt to compare between boys and girls of higher secondary schools in mathematics anxiety and phobia. To carry out this study, 184 boys and 184 girl students of Purba Bardhaman district of West Bengal were selected by adopting proper method of sampling to compare the relationship among the students over the gender in the degrees of anxiety & phobia in Mathematics. Data were analyzed by appropriate method with inferential statistics. It was observed from the findings that the boys & girls do not differ significantly in their anxiety & phobia in mathematics. The results lead to conclude that boys and girls are having similar degrees of anxiety in mathematics, though the trend of anxiety indicates that the girls are little more anxious than boys in mathematics. Moreover it was found that the effects of different strategies on the achievement of boys and girls in mathematics do not differ significantly. However, the achievement of boys and girls treated through Strategy-1 (Guided Concept Attainment) were significantly better than the achievement of boys and girls treated through Strategy-2 (Programmed Instruction).

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Mathematics, Gender, Anxiety & phobia, Achievement.

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This research examines the socio-economic benefits of advanced irrigation management system in Mahabubnagar District, Telangana.

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Advanced Irrigation System, Socio-Economic Benefits, Water Efficiency, Agriculture Sustainability and Farm Income.

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Lactobacillus, a prominent genus within the lactic acid bacteria group, has been recognized for its significant contributions to human health and well-being. Present in fermented foods, dairy products, and the human microbiome, these bacteria influence digestion, immune function, and even mental health. This research explores the multifaceted roles of Lactobacillus, examining its impact on gut health, disease prevention, and quality of life. By leveraging clinical trials, microbiome analysis, and dietary interventions, this article provides insights into the potential applications of Lactobacillus in improving human lifestyles.

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Lactobacillus, probiotics, gut microbiome, immunity, mental health, lactic acid bacteria, human health

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Concentrate on region is situated in the territory of Rajasthan, which is arranged in the North western piece of the country. Rajasthan covers a geological area of 342239 Sq.km., which is a modest amount of the complete geographic region of the country. The western piece of the desert is infertile and parched, through which Indira Gandhi channel streams. This desolate bone-dry land, which is known as Thar desert is described by serious sweltering and parched environment alongside desertification. During summer season, weather conditions is very unfriendly with high temperature and low stickiness, alongside high velocity breeze, some of the time dust storms. Dust storm, alongside wind disintegration and testimony is the trademark component of the western Rajasthan. Consequently, to battle desertification, afforestation programs have been taken up in various stages in Indira Gandhi trench order region, which has impacted the general backwoods cover in the state, particularly western piece of Rajasthan. The venture has been intended to satisfy various targets which incorporates the dry season sealing, improvement in microclimatic conditions, recovery, assurance of creature riches, extention of green land. Trees like Dalbergia sissoo, Prosopis cineraria, Tecumella nudalta, zizyphus jujuba, Acacia Senegal, Acacia nilotica, and so forth have been planted along channel, side of the road and in various Abadies in the trench order region. In a super dry area of western Rajasthan, afforestation has diminished breeze speed and the residue storm. Afforestation of moving sand ridges dispensed with dangers as well as achieved sturdy advantages through progress in soil fruitfulness and soil dampness system, which has eventually prompted expanded rural efficiency. Rural land use has been changed from resource to concentrated type of horticulture, as well as net planted region has likewise expanded, and that really intends that there is a longing among occupants to develop financially gainful yields. This expansion in woodland cover might be simply because of afforestation in the channel order region, in light of the fact that different government strategies, as Harit Rajasthan, which expected to establish 25 lakh trees in the state north of 61000 hectares of the backwoods land stayed only a numbers on paper.

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Western Rajasthan, Indira Gandhi Canal, Afforestation, Forest Cover

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This paper exposes the novel's analysis of civilization and savagery. The delineation of frailty of civilization is explicitly portrayed removing the preoccupied notion about civilization. The savagery is described as a power that throws away the disguise of modesty and exposes the concealed barbaric instinct within the human soul. Themes of ethical obscurity, colonizing tormentation, exploitation over natives, and harmful intentions of human beings are the main aspects of darkness that remain within the human soul. The tutorial also shows Conrad's criticism over the immoral impact of imperialism. The main theme here is European imperialism that brings out the decay of the moral circle. He also questions the real nature of human beings, ultimately claiming that the blur between civilization and savagery is narrow. Thus, the decay of civilization from savagery in the form of a frail constitute and masquerade is explored through the following discussion.

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civilization, savagery, ethical obscurity, imperialism.

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