Volume 12 | Issue 11

 Abstract

In this research, the predictive modelling used is support vector machine (SVM) method that can easily handle a very high quotient of complex health data. Even though most of us lead stressful lives these days, it seems improbable that more people had really weak hearts in the past. Heart failure is when the heart is not really pumping along any more in its usual way. SVM is something that figures out who and when bad things might happen to you, which is to say, who really might have quite serious vascular issues. The remarkable 79% accuracy rate of the SVM's classification abilities applies to a wide range of clinical indications and risk factors. This is pretty amazing. It now seems clear that if such predictions are used well, true doctors can radically change the way we think about healthcare by finding heart issues before they become big. And they can make healthcare cheaper in the process. This study is focusing a huge spotlight on how smart, informed computer methods are a must if we want to get truly good at finding and treating heart failure early--and on the road to much better ideas about keeping tabs on your health.

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 Keywords

-- Machine Learning, Heart Failure, Support Vector machine, Efficacy, Health, Mental Health, Developing countries, Classification Analysis

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 Abstract

Khaady saaksharata ek apekshaakrt naee avadhaarana hai jo gyaan aur kaushal sahit bhojan ke baare mein kisee vyakti kee samajh ko svasth aahaar banae rakhane kee unakee kshamata se jodatee hai. yah judaav kishoron ke svaasthy kee suraksha mein vishesh roop se mahatvapoorn hai, jo aksar kam poshak tatv vaale, uchch kailoree vaale khaady padaarthon ka atyadhik maatra mein sevan karate hain jisase kaee tarah kee svaasthy samasyaen ho sakatee hain.

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svaasthy saaksharata, poshan, saikometrik visheshataen

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Rural development is fuelled by the economy, social development, and agriculture, all of which work as catalysts for inclusive rural development. Young people are passively driving this trend. As the primary human resource for development and important agents of social change, the rural youth may help realise the Ministry of Rural Development's vision of sustainable and inclusive growth for rural India. India can benefit from the "youth bulge," which even wealthy nations cannot access. Young people's viewpoints and experiences can make a significant contribution. The Nehru Yuva Kendra Sangathan, the National Service Scheme, and the extensive youth network might all contribute to the improvement of rural India. As the nation's most valuable resource, the dynamic youth capital should be used as important collaborators in the planning and development process.

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Youth, Inclusive Development, Rural Development, National Service Scheme, Nehru Yuva Kendra Sangathan

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Medical imaging plays a crucial role in diagnostic medicine, especially with X-rays, which are widely utilized due to their efficiency and non-invasive nature. This paper proposes an advanced annotation system tailored for X-ray images, leveraging deep learning algorithms to automate and enhance annotation precision. The system architecture includes modular components for preprocessing, segmentation, and annotation, structured through data flow and UML diagrams. Experimental results reveal significant improvements in annotation accuracy and efficiency, highlighting the potential for this system to assist radiologists in clinical environments.

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X-ray imaging, medical image annotation, deep learning, system architecture, diagnostic assistance, automated annotation, healthcare technology

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This paper studies the educational aspiration of the adolescents in relation to parental involvement. Objectives of the study were - to study the educational aspiration of male and female children and to study the educational aspiration of adolescents with high and low Parental Involvement. Sample of the study consisted of 400 students of 9th class from Punjab School Education Board selected by using lottery method. Data was collected by using Parent - Child Interaction scale developed by Nidhi Sharma, (2000), and Educational Aspiration scale by Dr. S. K. Saxena (1984). Collected data was analyzed by using descriptive statistical techniques such as mean, median and standard deviation and Two way analysis of variance (ANOVA). Results of the study revealed significant difference in educational aspirations of male and female adolescents and significant difference in educational aspiration with high and low parental involvement. It was found that there exists no significant interaction effect of gender and parental involvement on the educational aspiration of adolescents. It was also observed that the value of educational aspiration of male is more than the female adolescents and high parental involvement leads to more educational aspiration among male adolescents than female.

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Educational Aspiration , Parental Involvement, Adoloscents

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 Abstract

Stanapaan shishuon ko khilaane ke lie sabase surakshit, kam se kam elarjee paida karane vaala aur ishtatam tareeka hai. yah kaee tarah ke laabh pradaan karata hai, jisamen poshan sambandhee laabh, pratiraksha sambandhee sahaayata, vyavahaarik aur manovaigyaanik pahaloo, saath hee aarthik vichaar shaamil hain. stanapaan shishuon ko khilaane ke lie sabase surakshit, kam se kam elarjee paida karane vaala aur ishtatam tareeka hai. yah kaee tarah ke laabh pradaan karata hai, jisamen poshan sambandhee laabh, pratiraksha sambandhee sahaayata, vyavahaarik aur manovaigyaanik pahaloo, saath hee aarthik vichaar shaamil hain.

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Preelaiktiyal pheed, Colostrum, vishesh stanapaan, samudaay

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Because they are simple to apply and remove, pharmaceutical creams have long been an essential component of cosmetic goods. Cleaning, beautifying, changing look, hydrating, and preventing bacterial and fungal infections are just a few of their many uses. Additionally, they are used to treat wounds, burns, and cuts. The public and society can safely employ these semi-solid preparations. Although human skin is prone to damage, it has the ability to mend itself. However, there is a chance of infection, particularly in the early stages of damage, and the natural healing process may take some time. In these situations, medicinal creams can be administered to the wound site to promote healing and prevent infection. This study centers on the application of prescription creams for wound healing, going over the many kinds of creams, components, assessment criteria, preparation techniques, function categorization, benefits and drawbacks, and features.

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The use of creams for wound healing, topical medication administration, and skin care is covered in this literature

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Here is the abstract: Design and Development of a recycled polyester fiber jacket, addressing textile waste and environmental sustainability in the fashion industry. Transforming post-consumer plastic waste into eco-friendly clothing, the EcoCycle jacket demonstrates comparable mechanical properties to virgin polyester, reduced environmental impact (up to 70% less carbon footprint), and improved thermal comfort and water resistance. This research showcases the feasibility of sustainable fashion practices, promoting a closed-loop lifecycle and minimizing textile waste.

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Sustainable fashion, Recycled polyester, Eco-friendly, Textile waste reduction, Circular economy, Green textile design, Environmental sustainability, Fashion technology, Closed-loop production, Polyester recycling.

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As global populations continue to rise, the pressure on agricultural systems to produce higher yields with limited resources intensifies. The project "Precision Fertilizer" addresses these challenges by leveraging precision agriculture technologies to enhance the efficiency and effectiveness of fertilizer use in crop production. This initiative focuses on developing a holistic framework that integrates advanced data analytics, soil health diagnostics, and real-time monitoring systems. By utilizing tools such as Geographic Information Systems (GIS), remote sensing, and IoT devices, we aim to gather detailed information on soil composition, moisture levels, and nutrient availability across diverse agricultural landscapes. Through the application of machine learning algorithms, the project seeks to analysis these data sets to create predictive models that determine the optimal types and amounts of fertilizers required for specific crops at different growth stages. This targeted approach not only maximizes nutrient uptake but also minimizes the risks of over-fertilization, which can lead to soil degradation and waterway pollution. Ultimately, "Precision Fertilizer" aspires to demonstrate the economic and ecological benefits of precision nutrient management, paving the way for a new paradigm in sustainable agriculture. The expected outcomes include increased crop yields, reduced fertilizer costs for farmers, and a significant decrease in the environmental footprint of agricultural practices. This research not only tackles immediate agricultural challenges but also contributes to long-term food security and environmental sustainability.

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Precision Fertilizer

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Green chemistry, also known as sustainable chemistry, refers to the development of chemical products and processes that minimize or exclude the operation and product of dangerous composites. They only use environmentally friendly chemicals and chemical procedures. It is erected on twelve principles that can be used to develop or reproduce motes, accoutrements , responses, and processes that are safer for mortal health and the terrain from the ground over. Green Chemistry decreases the environmental impact of chemical processes and technologies, as demonstrated in this composition. The thing of this exploration is to learn further about the part of catalysts in green chemical conflation for a further sustainable future. In the ecologically friendly conflation of novel and being composites, catalysis plays a critical part catalysed processes bear lower energy to produce and produce smaller by- products, co-products, and other waste particulars, indicating increased effectiveness.

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Green chemistry, Atom economy, Catalytic process, Role of catalysts, Hazardous substances.

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Corporate Social Responsibility (CSR) has become a vital component of business strategies, contributing to sustainable development and enhancing corporate reputation. In India, CSR gained further prominence following the enactment of the Companies Act 2013, which mandates CSR spending for qualifying companies. This paper presents a content analysis of business news coverage on CSR activities in Haryana, a key industrial state. By analyzing 100 articles from local news outlets, the study examines how CSR initiatives are portrayed in terms of frequency, themes, tone and depth. Results indicate that CSR coverage is largely positive, with a focus on education, healthcare and environmental sustainability. The reporting is surface-level, often serving as corporate public relations rather than providing in-depth analysis or critique. The findings suggest that while CSR is well-publicized in Haryana, media coverage tends to lack critical engagement, raising questions about the media's role in promoting corporate accountability and sustainability.

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Corporate Social Responsibility, Environment Sustainability, Accountability.

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Bharat Me Jangana : Ek Vishleshnatmak Adhyanan

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Bharat Me Jangana : Ek Vishleshnatmak Adhyanan

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Since misleading information spreads swiftly through digital media, spotting fake news has become more crucial. This research aims to develop an automated system that can distinguish between authenticate and counterfeit news reports by combining deep learning and machine learning the dataset pre-processed text data, which includes labelled news items was created using techniques like padding, stop word removal and tokenization . In a hybrid approach, more traditional machine learning models like Naive bayes, were merged with a deep learning-base convolutional neural network. word embedding are used to capture sematic meanings once the text input was converted into a sequence of tokens. important pattern from the word sequences were intended to be captured by the Conv1D model with global max pooling, where the naive bayes also used in the project. Since misleading information spreads swiftly through digital media, spotting fake news has become more crucial. This research aims to develop an automated system that can distinguish between authenticate and counterfeit news reports by combining deep learning and machine learning the dataset pre-processed text data, which includes labelled news items was created using techniques like padding, stop word removal and tokenization . In a hybrid approach, more traditional machine learning models like Naive bayes, were merged with a deep learning-base convolutional neural network. word embedding are used to capture sematic meanings once the text input was converted into a sequence of tokens. important pattern from the word sequences were intended to be captured by the Conv1D model with global max pooling, where the naive bayes also used in the project.

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Tokenization, word embeddings, fact checking, convolutional neural network(CNN/Conv1D).

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This paper explores the impact of the Act East Policy (AEP) on the societal dynamics of Northeast India, focusing on key infrastructure initiatives and their implications for the region's social fabric. The policy aims to enhance connectivity between Northeast India and Southeast Asia, fostering economic growth and cultural exchanges. While infrastructural projects promise benefits such as improved trade, regional integration, and economic development, they also raise concerns about land acquisition, ethnic tensions, and social inequalities, particularly in tribal areas. The study examines how these developments affect land use, identity politics, and the broader social structure of the region. Ultimately, the paper argues that while the AEP has the potential to transform Northeast India, balancing development with the preservation of local cultures and addressing socio-economic disparities is critical for its success.

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Transforming societal Dynamics in Northeast India under the Act East Policy

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Biopsychosocial needs are all the requirements related to an individual's entire health, taking into consideration the interconnection of relationships, mental health, and physical health. The rapidly rising average adults has brought various global healthcare challenges. We aimed assess the biopsychosocial needs of elderly population. Moreover, we examined the relationship and association of Biological, Physiological and Social needs of elderly population in selected community areas of Gurugram, Haryana.A Descriptive research design was used. In that 181 elderly population having age group 60 years and above sample were selected through enumerative sampling technique. The data was collected with the help of self - structured questionnaire. The results of the study revealed the majority level of Biological, Psychological and Social needs among elderly population were belonged to the >70 Years, with a majority being males 94 (51.9%) and married 102 (56.4%). The majority of participants 170 (93.9%) lived in joint family. Majority of participants 114 (62.9%) had 3 to 5 no. of children and majority of the participants 175 (96.6%) had Hindu religion. The majority of participants (81.2%) exhibited non - communicable disease, followed by 13.3% who were communicable disease. Regarding education, 43.3% of the participants experienced secondary education, while 74.6% were found to be unemployed. The correlation was calculated by using Karl Pearson's correlation formula and a moderate positive significant relationship was observed between biopsychosocial needs (Kr = 0.377; p-value=0.01). Demographic variables was significantly associated with age, education and marital status (p<0.005). Although there was no association found between gender, occupation, type of family, income, no. of children and religion. The results of the study revealed that majority of the participants 68% were dependent followed by 30.90% were semi - dependent and remaining 1.10% were independent. The study has shown a moderate positive relationship between biopsychosocial needs in elderly population at 0.001 level of significance (r=0.377).

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Elderly population, Biopsychosocial needs, Dependent, Independent and Semi - dependent.

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Cataract surgery is followed by post-operative eye drops for a duration of 4-6 weeks. The multitude of ocular barriers, coupled with the discomfort experienced by both the patient and their relatives in frequently administering eye drops, significantly undermines patient compliance, ultimately impeding the recovery of the patient. This study aimed to design and develop an ocular drug delivery system as an effort to achieve a drop-free post-operative care after cataract surgery. An implant was prepared containing a biodegradable polymer Poly-lactic-co-glycolic acid (PLGA), Dexamethasone (DEX) as an anti-inflammatory drug, and Moxifloxacin(MOX) as an antibiotic. Implant characterization and drug loading analysis were conducted. In vitro drug release profile showed that the release of the two drugs are correlated with the clinical prescription for post operative eye drops. In vivo study was conducted on New Zealand albino rabbits where one eye underwent cataract surgery, and the drug delivery implant was inserted into the capsular bag after placement of the synthetic intraocular lens (IOL). Borderline increase in the intraocular pressure (IOP) was noted in the test sample group. Slit-lamp observations revealed no significant anterior chamber reaction in all study groups. Histopathology study of the operated eye revealed no significant pathology in the test samples. This work aims at developing the intra ocular drug delivery implant which will replace the post-operative eye drops and help the patient with the post-operative hassle of eye drops.

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PLGA implant o Post cataract management o Ocular drug delivery o Dual drug release

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In the symphony of modern workplaces, emotional intelligence (EI) serves as a melody that harmonizes professional relationships, fosters creativity, and cultivates resilience. EI, the ability to understand and manage emotions--both one's own and those of others--has emerged as a critical workplace skill. This paper explores how emotionally intelligent individuals navigate challenges, inspire collaboration, and create inclusive environments where teams thrive. Through an exploration of EI's qualities, applications, and benefits, this paper advocates for its integration as a core element of professional growth and organizational culture.

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Emotional Intelligence, Workplace Harmony, Creativity, Collaboration, Self-Regulation, Adaptability, Inclusivity

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Scarlet fever has increased in frequency, Cases usually present with a distinctive macro-papular rash in children. This article aims to increase awareness about scarlet fever by highlighting significant symptoms and detailing potential outcomes if treatment is not received. For those displaying the usual symptoms, a prescription for an appropriate antibiotic, such as phenoxymethylpenicillin (Penicillin V), should be written right away in order to reduce the risk of issues and the spread of infection. Group A Streptococcus (GAS), the bacterium that causes scarlet fever, is still a major global public health concern. The goal of this review is to present a current summary of scarlet fever's epidemiology, pathophysiology, diagnosis, and available treatments. The findings emphasize how crucial early diagnosis and treatment are to avoiding complications and lowering morbidity. The review also highlights areas for further research and addresses the function of antibiotics in the treatment of scarlet fever. For medical professionals, researchers, and legislators looking to comprehend and address the issues raised by scarlet fever, this study offers a useful resource. The most common cause of scarlet fever, a rash, is bacterial pharyngitis in school-age and adolescent children. Traditionally, this papular, blanching rash has been called a "sandpaper" rash. Pyogenes Streptococcus

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Group A Streptococcus, Scarlet fever, study design.

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The "3-in-1 Safety Device" is an innovative, integrated safety solution designed to detect gas leaks, alcohol, and smoke, enhancing personal and public safety. This device combines three essential hazard detection systems into a single compact unit, offering a cost-effective and space- saving product The gas detection system monitors the presence of harmful gases such as carbon monoxide (CO), methane (CH?), and liquefied petroleum gas (LPG), providing early warnings to prevent poisoning, explosions. The alcohol detection component is to identify alcohol concentrations in the body, help to determine driving or workplace safety violations. The smoke detection system detect the presence of smoke particles, This device features real-time monitoring. The integration of multiple detection capabilities within a single unit reduces maintenance costs and enhances user convenience, making it ideal for both residential and commercial applications. With growing concerns over safety in homes, workplaces, and public spaces, the 3-in-1 Safety Device represents a critical advancement in multi-hazard detection, offering comprehensive protection against three common, yet potentially deadly, environmental threats.

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MQ2 sensor, Buzzer, Charging module

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The bell metal industry in Assam is a revered traditional craft deeply rooted in the state's cultural heritage. With origins tracing back centuries, this artisanal expertise has been passed down through generations in Sarthabari, one of India's oldest bell metal clusters. Renowned for their exceptional skill, artisans from this region cater to a broad market spanning Assam, Arunachal Pradesh, Nepal, Bhutan, Myanmar, and Sri Lanka. Despite its cultural and economic significance, the industry faces existential threats. Intense competition from inexpensive alternatives and machine-made products, coupled with the influx of aluminum and plastic items, poses a significant challenge to the survival of Sarthabari's bell metal craftsmen, imperiling a cherished tradition.

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Bell Industry, Traditional Craft, Sarthabari's Bell metal Craftsmen, Problem and Prospect of Bell Metal Industry.

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Creative Commons Attribution 4.0 and The Open Definition