Journal for ReAttach Therapy and Developmental Diversities (JRTDD)
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    Psychiatric Illness Among School-Going Children: Global And Indian Scenario, Including Homoeopathic Approaches

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    Psychiatric illnesses among school-going children are a significant global concern with profound implications for their educational and social development. This article provides a comprehensive review of the prevalence, types, and impacts of psychiatric disorders in children, with a specific focus on both global and Indian contexts. It also examines the role of Homoeopathic treatments as an alternative therapeutic approach, including the current evidence supporting their use. The goal is to present a balanced view of the available interventions and highlight the potential benefits of integrating Homoeopathy into conventional treatment plans

    Optimizing Cloud Computing Performance with Advanced DBMS Techniques: A Comparative Study

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    In the era of digital transformation, optimizing cloud computing performance has become a critical focus for organizations striving to leverage the full potential of cloud infrastructures. This study presents a comparative analysis of advanced database management system (DBMS) techniques aimed at enhancing cloud computing performance. By examining a range of strategies, including indexing optimizations, query performance tuning, data partitioning, and caching mechanisms, the research identifies key methodologies that can significantly impact efficiency and scalability in cloud environments. Through a series of tests and performance metrics, this study evaluates the effectiveness of these techniques across various cloud platforms and workloads. The findings provide valuable insights into which DBMS approaches offer the greatest benefits in terms of speed, resource utilization, and overall system performance. This comparative study not only highlights the strengths and weaknesses of different techniques but also offers practical recommendations for organizations seeking to optimize their cloud computing infrastructure. Published: 2023-12-2

    A Study To Evaluate Efficacy Of Homoeopathic Remedy Gymnema Sylvestre In 6th Centesimal Potency In The Patients Suffering From Type 2 Diabetis Melitus - A Prospective Observational Study

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    Background: World Health Organization report shows that 300 million people may suffer from Diabetes up to 2025 in which 79 million people from India. Diabetes mellitus (DM) states to a group of common metabolic disorders that share the phenotype of hyperglycemia due to reduced insulin secretion, decreased glucose utilization or increased glucose production. Some distinct types of DM are caused by a complex interaction of genetics and environmental factors. Most common is Type 2 Diabetes Mellitus in which body does not make enough insulin or does not properly utilize it. People living with Type-2 DM are more vulnerable to various forms of complications, both short-term and long-term, which often lead to their premature death. Homoeopathy, a common form of alternative medicine is used worldwide and plays a major role in healing of different diseases. Due to minimal side-effects, homoeopathic remedies may serve as potential method of treatment and in the management of diabetes. Gymnema sylvestre, in various homoeopathic preparations, have reported beneficial effect for treating in Type-2 diabetes mellitus. This study proposed to explore the role of an organ remedy Gymnema sylvestre in reducing the blood sugar level and improving the quality of life of such patients suffering from type 2 DM. Aim and Objective: To evaluate the efficacy of Gymnema sylvestre in 6CH potency in Type-2 diabetes mellitus patients to improve the QoL of the patients suffering from Type-2 diabetes mellitus. Materials and Method: This prospective, open label, observational trial, conducted at OPD and IPD of Shaheed Raja Hari Prasad Mall Government Homoeopathic Medical College and Hospital, Barhalganj-Gorakhpur (U.P.) and camps organized by various departments and hospital itself. A total 100 pre-diagnosed cases were enrolled for this study considering all ethical criteria, inclusion and exclusion criteria’s as per ICD-10. Data were recorded on standard case proforma, and entered Microsoft® Excel worksheet 2019, and exported into SPSS v29.0 (IBM, USA) for statistical analysis. Each case was followed up for a period of 12 months. The result of post- treatment outcome in each patient was assessed on the basis of collected pre and post FBS, PPBS, HbA1C, DM score and QoL (Part-1) & QoL (Part-2) values was tested by Paired ‘T’ test. Results: Out of 255 screened patients, 100 patients (68 males and 32 females) with type 2 DM were enrolled in the study. 20 left the study, so total 80 patient’s (57 males & 23 females) data analysis was done after a follow-up period of 12 months of treatment. In the 80 Cases of Type 2 DM the pre- mean value of FBS level was 7.51 mmol/l, PPBS level was 11.63 mmol/l and HbA1c % was 8.066 whereas the post- mean values were improved to 6.7 mmol/l, 10.54 mmol/l and 6.656 respectively. The pre- mean DM assessment score was 8.0, QoL (Part- 1) was 3.8 and QoL (Part-2) was 5.7, whereas post-mean value improved to 1.6, 4.7 and 5.9 respectively after the end of the treatment of the study population. Conclusion: Homoeopathic preparations of Gymnema sylvestre in 6CH potency is proved to effective in management of diabetes mellitus is confirmed through the study. The medicine was also helped to improve the quality of life of the patients

    A Comparative Study Of Online Shopping And Offline Shopping With Reference To Sira Taluk Of Tumkur District Of Karnataka.

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    Shopping might be one of the oldest phrases for what we were doing through the years. Because the dominance of the internet changed into declared, on-line purchasing has become a popular purchasing technique. Advances in technology allow sellers to attain clients faster, less difficult, and cheaper. on line buying has evolved hastily in current years. Many studies focus on high-contact merchandise that customers sense once they contact, odor, or attempt the product. Offline shopping is needed at the shopping stage due to the fact on-line buying can not. This studies paper focuses on studying extensive differences among online and offline client corporations in terms of patron demographics, generation usage, availability, and attitudes

    Enhancing Developmental Resilience: The Role Of Multilevel Inverters And Machine Learning In Addressing Asymmetrical Faults In Photovoltaic Systems

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    This review paper investigates the application of machine learning techniques for regulating Multilevel Inverters (MLI) in Photovoltaic (PV) systems, specifically in the context of asymmetrical faults. The integration of these technologies is examined not only for their technical merits but also for their broader implications in promoting developmental resilience and energy accessibility in diverse communities. By analyzing existing literature on MLI and machine learning, the paper highlights the strengths and limitations of various methods for detecting and diagnosing asymmetrical faults, which can lead to more reliable energy solutions. Furthermore, the findings underscore the potential of these technological advancements to support initiatives in reattachment therapy and developmental diversity by ensuring consistent energy supply in underserved areas. The paper concludes by identifying critical areas for future research, advocating for a collaborative approach that bridges technology and community development to foster inclusivity and support varied developmental needs

    Unveiling The Hidden Link: The Impact Of Obesity On Periodontal Health In Adults

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    Background: Obesity and periodontitis are both significant public health concerns, with emerging evidence suggesting a strong link between the two conditions. This study aimed to evaluate the association between obesity and periodontal disease among adults aged 35-44 years. Methods: A cross-sectional study was conducted on 360 adults, aged 35-44 years, to investigate the relationship between body mass index (BMI) and periodontal health. Periodontal status was assessed using the Community Periodontal Index (CPI) and loss of attachment (LOA) scores. Participants were categorized into normal, overweight, and obese groups based on BMI, and the prevalence of periodontitis was compared across these categories. Results: The study revealed a significant association between increased BMI and the prevalence of periodontitis. Overweight participants exhibited higher rates of LOA (78.15%) compared to individuals with normal BMI (30.25%). Notably, all obese participants (100%) experienced attachment loss. CPI scores indicated that obese individuals had more severe periodontal pockets (78.69%) than their normal-weight counterparts. These findings suggest that obesity contributes to the progression and severity of periodontal disease. Conclusion: Obesity is strongly associated with an increased risk of periodontitis, as evidenced by higher rates of LOA and periodontal pockets in overweight and obese individuals. The results underscore the need for integrated health interventions targeting both weight management and oral health to reduce the burden of periodontal disease in obese populations. Further research is required to explore the mechanisms linking obesity and periodontal disease to develop effective preventive strategies

    Reconceptualizing Chronic Rhinosinusitis : An Organon-Inspired Homoeopathic Prespective

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    Rhinosinusitis (RS) is inflammation of the nasal cavity and paranasal sinuses. The term “rhinosinusitis” is preferred over “sinusitis” because inflammation of the sinus cavities is almost always accompanied by inflammation of the nasal cavities. Chronic rhinosinusitis (CRS) requires a paradigm shift in understanding and treatment. Hahnemann\u27s Organon offers a holistic, individualized approach, emphasizing susceptibility, miasms, and remedy selection via repertory analysis. An Organon-inspired approach revolutionizes CRS management, prioritizing individualized care

    Analysis Of The Correlation Between Perceived Stress Level And BMI [Body Mass Index Among Working Professionals In Coimbatore, India: An Empirical Study.

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    Background: This study examines the relationship of perceived stress levels with BMI in college faculties from Coimbatore, India by correlating these factors with respect to gender, age, food habits, salary, and residence. Methods: A cross-sectional study that involved 223 subjects, was used to analyze the role of socio-demographic factors, perceived stress, and BMI by using ANOVA, regression analysis, and Pearson correlation. Results: The correlation of stress and BMI did not lie with gender and other socio-demographic factors like salary and residence. However, a positive correlation with respect to age was found, though the stress did not indicate much correlation with BMI. In conclusion, from the findings above, the researchers conclude that BMI is indeed affected significantly by age but social demographic factors such as gender, salary, and residence are not linked with an alteration of the relationship of stress with BMI. &nbsp

    Formulation and Development of Compact Powdered Blush by Using Natural Colour from Flowers of Butea Monosperma

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    Blush is a makeup pigment that comes in different hues to color the cheeks. Blushing powder is a popular and high-quality cosmetic product. These days, compact powder blush is preferred because it is convenient to use, lightweight, and easy to carry. Compounds from Butea Monosperma are useful for preserving skin tone, elasticity, and natural coloration in cosmetics. The purpose of this study was to create a compact powder by extracting Butea Monosperma as the flowers were concentrated into an ethanolic extract. The main components of the Compact Powder Blush include isopropyl myristate, zinc oxide, talcum, kaolin, and paraffin liquid. Butea Monosperma concentrations of 2%, 4%, and 6% were employed. A favorable outcome was obtained from the pH stability test, color homogeneity test, polishing test, breakage test, hedonic test, and color stability test

    Big Data Analytics In Heavy Vehicle Manufacturing: Advancing Planet 2050 Goals For A Sustainable Automotive Industry

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    The automotive industry has embraced the shift towards more sustainable solutions both in terms of the products developed and the production methods. Given its scope, the heavy vehicle manufacturing sector has a huge opportunity to contribute towards reducing the environmental impact of vehicle production. The vehicle manufacturing process is complex, with several parts and subsystems being assembled to create the finished product. The amount of energy and materials required for vehicle manufacture has driven the industry towards identifying opportunities to reduce the carbon footprint of production processes. One key enabler in this quest has been the ability to collect and process big data. Global trends across many industry sectors indicate an increase in the number of sensors and data collected, processed, and stored. This trend correlates with the lowering cost of sensors, advances in computing, and the increase in data with which to train machine learning models. The primary relevance lies in the manner in which machine learning techniques and related algorithms can capitalize on big data collected from the heavy automotive manufacturing industry to advance the environmental goals set forth. Indeed, this offers three high-level goals designed to support vehicle innovation desired for 2050, which ultimately addresses the need for lower carbon emissions and energy consumption

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    Journal for ReAttach Therapy and Developmental Diversities (JRTDD)
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