Volume 12 | Issue 11

 Abstract

The eye is an organ that God created in the best way of all the senses in the human body, allowing us to see many things around us, near and far. The eye is one of the softest and most important of all the senses of the body, and the eye is a difficult subject to paint. Ocular ointment is an accepted method in the medical treatment of conjunctival, ocular influenza and other eye diseases. sought. The work of ocular drug delivery is one of the most interesting and challenging tasks that most pharmaceutical scientists/scientists face. Significant progress has been made in this area in the last 10-20 years.

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Ocuserts,Osmosis,Diffusion,Drug release,Contact Lnses.

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Bharat- Japan Sambandh 2000 Se Adyatan

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Bharat- Japan Sambandh 2000 Se Adyatan

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Numerous physiological and pathological processes include calcium, the most prevalent mineral in the human body. The main processes of calcium homeostasis were addressed here, including the modulation of calcium sensing receptors, intestinal calcium absorption, renal calcium reabsorption, and bone calcium resorption. The roles of vitamin D and calcium in the diet in disorders linked to abnormal calcium regulation were also covered. On the other hand, excessive calcium intake may raise the risk of a number of illnesses, including kidney stones, myocardial infarction, and stroke.

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Calcium intake, calcium uptake,vitamin D, Bone health

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This study investigates the relationship between spiritual intelligence and psychological well-being in a sample of 83 participants. Using the Spiritual Intelligence Self-Report Inventory and the Ryff Scales of Psychological Well- being, the research explores the correlation between these two constructs. The findings suggest a significant positive correlation between spiritual intelligence and psychological well-being, indicating that individuals with higher levels of spiritual intelligence tend to report greater psychological well-being. These results highlight the potential role of spirituality in promoting mental health and overall life satisfaction.

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: Spiritual Intelligence, Psychological Well-being, Mental Health, Spirituality, Self-Report Inventory, Ryff Scale.

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This nutritional review examined the nutrition and health of Adi women in East Siang, Arunachal Pradesh, India. The assessment encompassed diet, socioeconomic status, and anthropometric measurements. Utilizing food and health frequency surveys, in-depth interviews, and focus groups, we analyzed the significant impact of education, employment, and family structure on nutritional health. The study involved 40 rural and 40 urban Adi women, focusing on four health and nutrition concerns through meal recalls, anthropometry, focus groups, and key informant interviews. Experienced moderators conducted pre-planned interviews, with diet recollections and focus group interviews transcribed and translated. The study revealed that the typical diet of the Adi people consisted of two high-carbohydrate, low-fat meals per day, deficient in vitamins A, thiamin, riboflavin, niacin, B12, C, as well as calcium and iron. Among the participants, 25% of women aged 18-22 were underweight, while 20% of women aged 22-30 were overweight. Cultural beliefs influenced dietary practices, such as the avoidance of papaya, pineapple, and twin-fruit during pregnancy, and skepticism towards prenatal iron supplements. Colostrum was deemed inferior to milk, and there was uncertainty about when to introduce complementary foods to infants. Chronic disorders like diabetes and hypertension were prevalent among indigenous women aged 35-45. The dietary, physical activity and health patterns suggested that Adi tribal women were in the third stage of nutritional transition: characterized by physically demanding work, a carbohydrate-rich diet with little fat and diversity, poor nutrition, and a lack of obesity. Despite minimal dietary changes, many traditional dietary beliefs and practices were found to be potentially detrimental. Nutrition education is crucial to promote diets rich in micronutrients. Additionally, advising pregnant women on appropriate food types and quantities, emphasizing the importance of colostrum for neonatal health, and advocating for the timely introduction of complementary foods are essential. Encouraging healthy diets and lifestyles is imperative to prevent obesity and non-communicable chronic diseases.

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Adi Community, Nutrition transition, Social-cultural aspects

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Ayurveda drug formulations or Ayurveda drug pharmaceutics is known with the special branch Ras Shastra & Bhaishajya Kalpana. Basically it is a science which mainly deals with processing and formation of Organic & Inorganic elements into such forms which are Non Toxic and can be utilized for prevention & cure of disease with promotion of health. Pharmacology is the science of how drug act on biological system and how the body respond to drug i.e. Pharmacodynamics and Pharmacokinetics respectively. The term of Modern Pharmacology is different for Ayurveda. Ayurveda Pharmacology is understood by understanding the concept of Rasa-Virya-Vipaka and Karma of drug. Out of these Rasa-Virya and Vipaka are the Physiochemical and Biochemical properties whereas Karma or Action of drug towards body comes under Pharmacodynamics. The term Pharmacokinetic is not exactly explained in Ayurveda. Many of drugs are compound formulation. The Pharmacokinetic or Liberation, Absorption, Distribution, Metabolism and Excretion of such formulations are not completely known till date. We are tried here to determine the gap between understanding Pharmacodynamics and pharmacokinetics for Ayurveda drugs. There is huge scope for application of Modern pharmacology for Ayurveda formulations. It will certainly help to improve the Posology and encourage the Research and Development of Ayurveda drugs.

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Pharmacology, Ayurveda Drug Formulation.

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A popular food crop and medicinal plant, Phaseolus vulgaris (common bean) is well-known for its therapeutic benefits, which include helping people lose weight. Type 2 diabetes, osteoarthritis, and some types of cancer are among the many ailments that are exacerbated by obesity, a global health concern. Dietary techniques, such as reducing carbohydrate intake, exercise, and nutrition control are all part of managing obesity. ?-amylase inhibitors (?-AI), including Alpha-AI1, are found in common beans, especially white kidney beans. They prevent the breakdown of starch, which lowers the absorption of glucose and helps people lose weight. Phaseolus vulgaris extracts (PVE) have demonstrated advantages in enhancing insulin sensitivity, lowering body weight, and regulating blood glucose levels. Clinical research, including randomized trials, has shown that PVE supplementation can reduce body weight and fat through mechanisms such as decreased fat conversion and suppression of glucose absorption.

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obesity, ?-amylase inhibitors, white kidney bean extract, weight loss, insulin resistance, ?-AI1, clinical trial, metabolic syndrome.

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From the ancient era to current civilization hilly area are rich in vegetation and residing tribal people mostly benefited it for their livelihood. The wild edible vegetable and plants have been a main source of food and medicine for local ethnic community of hilly region. Ethnic community are using vegetable either raw or cooked as food to compensate their daily calories requirement. These vegetable and plants have rich nutrition and medicinal values. The wild edible vegetable not only provide nutrition but also perform duties for prevention and cure of innumerable ailments. Urban people widely depend on agricultural cultivated food therefore sometimes due to daily workload they do not get accurate nutritional diet and bodily needed medicine. Followed by tribal community many rural people of developing countries depends on wild edible vegetable for food in rainy season but urban people are away from traditional way therefore multiple health related issue arises. Regular consumption of wild vegetables also favor for good health and management of various persistent diseases. The present research focus on exploration and conservation of the traditional knowledge regarding wild edible vegetable and plants. The ethno medicinal knowledge of these plant taxa will be beneficial in future for rural and urban communities.

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Tribal people, Wild vegetable, Ethnic community, Nutrition, Traditional knowledge.

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The research paper consists of detailed explanation of the term culture in international relations and politics. As well as, culture specifically in Andaman and Nicobar Islands. The culture of Indigenous tribes Great Andamanese, Onge, Jarawas, Sentinelese, Shompens, Nicobarese. Apart from that the culture of local residents. It has detailed discussion on language, festivals, the structure of administration unit, the similarity of culture of mainland India and people's participation in politics and policy formulation.

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Culture, Indigenous Tribes, Settlers, language, lifestyle

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This research explores the potential of integrating cob construction with fly ash to create sustainable and eco-friendly farmhouses. The study examines the environmental benefits, structural performance, and design options of these combined building methods, with a particular focus on interior design elements. Fly ash, which is a byproduct of coal combustion, is evaluated as a supplementary material to cob, improving thermal insulation, increasing structural integrity, and reducing carbon emissions.

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Sustainable, Eco-Friendly , Cob, Farmhouse, Fly Ash, Interior

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This paper is an outline of creating a multi AMBA system processor interface, which is designed to interconnect various AMBA processors. The main purpose of this interface is to simplify the connection between different AMBA AHB interfaces and external memory devices like RAM and REGISTER, using the high-performance features of the AMBA AHB. This research examines the use of Application Specific Integrated Circuits (ASICs) for integrating processors with functional units into System-On-Chip (SoC),which can run complex applications. It investigates how in ASIC environment processors communicate with their targets via standardized communication protocol across all targets. The paper also discusses problems connected with data throughput and inter-processor/RTL communication in present-day microprocessors and suggests that multiple AMBAs can be used simultaneously to have access to target components they are meant for. It further introduces a proposed arbitration system that manages multiprocessor access; and explores how bulk data access can be optimized while satisfying major ASIC design constraints like speed, low power consumption and efficient area utilization. In regard to these technologies, it was tested using simulation by verification using Verilog ,which gave us remarkable outcomes.

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AMBA AHB protocol; AMBA processor interface; multiprocessor arbitration; Verilog

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For detecting covid-19 and checking the severity of the patients condition ct examination of the lungs is significant however the current manual viewing of ct images requires professionalism in order to improve the inspection efficiency of the huge number of ct images it is necessary to develop an intelligent detection algorithm to perform ct inspections this paper proposes a covid-19 detection algorithm based on efficientdet efficientdet leverages a faster and easier multi-scale fusion approach which is more suitable for covid 19 detection tasks with finer feature granularity in addition data augmentation is also significant in covid-19 detection tasks this paper verifies the effectiveness of efficientdet on the siim fisabio-rsna covid-19 detection dataset provided by kaggle platform experimental results show that efficientdet has achieved better performance than other detection algorithms taking map05 as an indicator efficientdet reaches 0545 which is 79and yolo-v5 index termscovid.

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COVID-19, X-rays, transfer learning, convolutional neural networks, EfficientDet, data augmentation, Big Data, Deep learning, Artificial intelligence (AI), Healthcare, Machine learning (ML)

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Generation Z, commonly known as Gen Z, denotes the demographic subset succeeding the millennial generation. Although there is a bit of variation in the specific birth years of Generation Z, it is commonly believed to encompass individuals born from around the mid-1990s to the early 2010s. Interacting and connecting with individuals of various generations is essential for nurturing intergenerational relationship. When it comes to Generation Z, intergenerational relationships usually entail members of this generation engaging with individuals from older generations. Members of Generation Z are frequently described as digitally native, as they have been raised in a society where technology - particularly the Internet and social media - has been ingrained in daily life from a young age. They are known for being technologically adaptable, socially aware, and having a global perspective. While it is important to recognize that attitudes toward religion can vary widely among individuals, there are some general trends observed among today's youth that may contribute to the perception that interest in traditional religious belief and commitment to religious life has declined. Several psychological theories provide insight into the search for role models in life, especially when young people are engaged in a committed religious life. These theories emphasize the complex interplay of cognitive, social, and emotional factors in seeking and embracing role models, especially in the formative years of religious youth. This paper highlights the characteristics of Gen Z youth, barriers for formation of youth and way forward to promote formation of youth.

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Youth, Generation Z, Intergenerational Relationship, Formation and Vocation

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The issue of fake news is not new but has become more prevalent in recent times due to the widespread use of the internet and smart phones. Many people tend to share news without verifying its authenticity, leading to the spread of false information. This problem has been further exacerbated by the Covid-19 pandemic, where misleading news has contributed to widespread panic and confusion. Given the serious consequences of fake news, the need to limit its dissemination on social media platforms has become increasingly critical. Therefore, a study has been conducted to understand people's perspectives on this issue. The study aims to analyze qualitative data, such as people's opinions and attitudes towards limiting the spread of false information on social media. Through this study, we hope to gain valuable insights into how individuals perceive the problem of fake news and what measures can be taken to prevent its spread. By understanding people's viewpoints, we can develop effective strategies to combat the spread of false information and promote greater awareness about the importance of fact-checking and responsible sharing of news. According to the study's findings, self-regulation might not have the desired impact on preventing the spread of false information. However, one possible strategy that may be used to stop fake news from spreading on social media platforms is to plan efficient campaigns to increase social media literacy. Therefore, this specific study might help in the decision-making process when it comes to implementing regulatory measures to stop the spread of false information on social media.

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Fake news , Social media , Media literacy

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Electrical Impedance Tomography (EIT) is a non-invasive imaging technique for examining the electrical properties of tissues, with applications in biomedicine due to its affordability, portability, and safety. However, EIT systems often involve costly or complex hardware, limiting accessibility for in-lab experimentation. This project introduces an efficient, easily replicable EIT hardware system designed for frequencies between 1 kHz and 50 kHz, aimed at making EIT more accessible for proof-of-concept validations. The system optimizes performance while minimizing costs, using modern integrated circuits and a lock-in amplifier for compact signal filtering and DC output generation. Comprehensive schematics, manufacturing files, and fabrication procedures are provided to simplify replication and further development. The hardware is experimentally tested and validated through data comparison with simulations and inclusion detection in biological tissues.

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Electrical Impedance Tomography (EIT), Open-source hardware, Multiplexer, Current detector, Phantom, Peak detector, power supply, Low pass filter, Band pass filter.

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This study aims to review the fundamental principles and significance of Thin Layer Chromatography (TLC) in research, particularly in phytochemistry. TLC is a straightforward, cost-efficient, and user-friendly planar chromatographic technique that has been utilized in chemistry laboratories for many years to separate chemical and biochemical substances. Typically, chemical and optical methods are employed to detect analyte spots on the TLC plate. Additionally, TLC is widely used to identify impurities in compounds. This review emphasizes the application of TLC for the qualitative and quantitative analysis of bioactive compounds in medicinal plants.

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Thin Layer Chromatography, Solvent Selection, Plant Extraction, Phytochemical Screening, Medicinal Herbs.

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The term "social entrepreneurship" has gained popularity in India and other countries. This idea of giving has always piqued people's interest. It's ideal blend of social responsibility and business acumen makes it incredibly alluring and distinctive. Typically, entrepreneurship is associated with economic pursuits, ruthlessly pursuing profits at the expense of social benefits or the wellbeing of society. Lately, the idea of social entrepreneurship has gained a lot of traction in India and other countries. Many have discovered it to be rather fascinating. It provides the best fusion of enterprise with social service, which makes it the most alluring and distinctive of its kind. Entrepreneurship is linked to economic pursuits and a merciless emphasis on maximizing profits, regardless of the consequences for society or its well-being. Benefits to society have diminished or perhaps vanished in many nations during the current period of rapid industrialization and economic expansion. This paper aims to provide an explanation of social innovations and requirements from the perspective of entrepreneurship. The scope and importance of social entrepreneurship have grown recently, and this article covers both topics. Finally, this study article also highlights the ways in which social entrepreneurship can alter or have an impact on the social structure and how do these social entrepreneurs make way for better growth and development.

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Social Entrepreneurship: Identifying Opportunities for Better Growth and Development

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Carrot is the most important vegetable grown throughout the world, as it is a very good source of ?- carotene, ?-carotene. The post-harvest losses because of having high moisture content limit the utilization of carrot. The present study focused on the effect of different drying temperature that is 60?,70?and 80? on different thickness of carrot slices, in combination with pretreatment of KMS (potassium metabisulphite) The result from the experiment indicate that with increase in thickness of the carrot slices the drying time to attain the equilibrium also increases. The time taken for drying was more for blanched sample as compare to the control sample, as blanching involves the immersing of food in boiling water, which can increase its water content. Therefore, the blanched sample take longer time to dry. It also indicates that the moisture ratio of the blanched sample is lower than that of control sample after drying. Key words: Carrot slices, KMS, Blanching ,Hot water, Drying

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Carrot slices, KMS, Blanching, Hot water, Drying

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ABSTRACT: Adeep learning-based systems was developed to identify medicinal plants in the Borneo region in real time. The system used techniques like class weighting and focal loss function to improve the model's learning process. In the future, we meant to further develop the systems performance by developing the sample collection of training data. Furthermore, to make system more useful, we meant to increase the number of species, as the Borneo region is a high species diversity spot. A medicinal plant is a high importance for human health. Medicinal plants are widely used as mixture of traditional medicines in non-industrialized societies, folk medicines readily available and cheaper than modern medicines. In ancient times, herbal medicines were also prevalent in Borneo regions. A medicinal plant is that species of the plant kingdom, whoseparts (flowers, leaves, roots, stems, fruits, or seeds) are directly used or used in some preparation as a medicine to treat a condition or disease. A vision-based systems can support research and ordinary people in recognising herb plants quickly and accurately. This study purposes an intelligent vision-based systems to identify herb plants by developing an automatic Convolutional Neural Network (CNN). Hence, the proposed method effectively identifies in real time and can replace traditional method.

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Index Terms-- Deep learning, Convolutional Neural Network, folk medicines.

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Diabetes is a chronic, irreversible disease in which the glucose level in the blood is elevated. It is associated with potential health complications, such as cardiovascular, renal, dermatological, and ocular complications. Monitoring blood glucose levels is costly and time-consuming for patients. The work in this paper develops a predictive model using a decision tree classifier to predict diabetes in women and offers an early intervention and lifestyle modification solution that has the potential to reduce the risk of complications due to diabetes. This model was developed and validated using a Kaggle dataset, showing high accuracy for differentiating between diabetic and non-diabetic cases. The model generalizes well when trained on a large dataset, and thereby, based on just one sample, reliable individual predictions can be made. Such an approach will be a practical, accessible screening tool for the assessment of risk for diabetes benefiting high-risk populations as it opens up opportunities for timely preventive measures.

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 Keywords

MACHINE LEARNING

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