Volume 11 | Issue 10

 Abstract

Giloy is a medicinal plant used in folk and ayurvedic medicines throught the india from ancient times. Giloy is Antipyretic drug. It improves platelet count in dengue fever and reduces the chances of complications. Regular intake of Giloy helps to improve immunity during dengue and also for a speedy recovery. For better results boil Giloy juice with a few Tulsi leaves and drink to increase platelet count.

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Introduction. Medicinal use . Health benefits. Chemical constituents . Composition. Conclusion.

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Working from home (WFH) is becoming new norm nowadays. WFH designates a worker who is not working from an office, but rather from their home or apartment. Working from home has several positive aspects and negative aspects. Work hours limit a person's daily routine, which in turn affects their eating patterns, including when they eat and when they skip meals. Despite the advantages of work from home, many adults' especially young adults, do not consistently engage in healthy eating habits. The objectives of the study were i) To asses dietary pattern during work from home individuals. ii)To estimate the somatic status of the subjects. A total of 100 subjects were selected for this study who are working from home between the age group 21-50 years. The subjects were based on purposive random sampling and were given a semi structured questionnaire to elicit the dietary habits, anthropometric measurements, physical activity and health status of them. The data was then analyzed statistically. The results showed that the majority of the respondents were from the age group 21-30 years, with a good educational background and with a good socio-economic status. Majority of them were non vegetarians and inclined to consume three meals per day. Majority of them consumed snacks and skipped meals once day. Majority of the respondents consumed food from outside more than once a week. Most of the respondents preferred to cook food at home while also having major barriers such as lack of time, cost of ingredients and varied taste preferences in order to consume fruits and vegetables. Majority of them were physically active and nearly half of the respondents were in the normal category of BMI, while nearly half of them are overweight or pre obese. Female respondents were at the increased risk abdominal obesity compared to males. Majority of the respondents slept for seven to eight hours per day and few of them noticed positive and negative changes in their health status. As majority of the respondents were young adults, their improper dietary habits may contribute as a major risk for various diseases. The consumption of food outside home should be reduced to avoid health consequences. Nearly half of the respondents' BMI was found to be in overweight and pre obese category which can contribute to diabetes, hypertension, cardio vascular disease, obesity etc. Awareness needs to be created regarding healthy eating practices, regular physical activity and reduction in consuming foods outside to avoid the major health consequences in later life.

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Work from home, dietary habits, physical activity, health status, sleeping habits

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In current days notable improvements in the industrial environment have been made in short time, and there is an increasing need for effectual material transfer approach. Flexibility, precision, and quickness were problems with traditional practice. This calls for the investigation of novel remedies to solve these constraints. The ethicalness of using a PLC-based material transfer system, proposes to close the gap between current trends in the technology and the varying needs of the industrial field. PLC-based hardware design and implementation transfer system that improves accuracy and efficiency in industrial applications is the main purpose. To do this, had created an in-depth problem description that details the shortcomings of existing material transfer techniques and emphasises the demand for automation. Our perspective involves integration logic controller (PLC), providing real-time monitoring and control, into the material transfer plan of actions. Data and samples from industrial facilities have been used to authenticate the successfulness of this perspective. The observed results show remarkable furtherance in material transfer activities, including a considerable reduction in the transfer amount times and a remarkable increase exactly. The two big numbers represent a 30% decrease in transfer time and a 15% reduction in error rate. The interpretation of these results stands out the role of PLCs in streamlining material transport as well as their potential for future application. PLC-based systems help improve the industrial material transfer and adding more chances to increase production and effectiveness.

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 Keywords

PLC-based. Material Transfer, Industrial Application, Automation, Efficiency, Precision

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This study covers various areas of India's digital economy, examining its trends, components and the key role it plays in boosting growth and inclusion.With a focus on demographic advantages, technological infrastructure, and government initiatives, the study identifies key drivers of India's digital revolution. It explores the transformative impact of digital technologies in education, healthcare, and public services, emphasizing their role in fostering inclusive growth. Additionally, the paper sheds light on India's prominence within the G20, highlighting its dynamic startup ecosystem and potential for global collaboration. The study also addresses critical challenges in regulating and securing the digital economy, providing strategic recommendations for sustainable growth. The study provides insight to policymakers, industry stakeholders and professionals working to understand and harness the potential of India's digital economy.

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Internet ,Economic growth, G20, digital economy,Foreign Direct Investments (FDIs), Inclusive Growth, Artificial Intelligence

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Hair transplantation is a widely accepted surgical procedure for treating androgenetic alopecia (male and female pattern baldness). In recent years, Platelet Rich Plasma (PRP) has gained significant attention as an adjunctive therapy to enhance hair transplant outcomes. PRP is an autologous concentrate derived from the patient's blood, rich in growth factors and cytokines, which can stimulate hair follicle growth and improve the overall success of hair transplantation. This review article aims to provide a comprehensive overview of the current state of knowledge on the application of PRP in hair transplantation. It covers the scientific basis of PRP, PRP preparation methods, administration techniques, and the existing evidence supporting its efficacy and safety in hair restoration procedures.

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Platelet-rich plasma, PRP, hair transplantation, regenerative medicine, hair loss, growth factors, clinical applications, efficacy, safety, adverse events, future directions.

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As electric mobility continues to reshape the transportation landscape; the development of advanced EV charging infrastructure becomes paramount. This project introduces a groundbreaking EV charging station that combines state-of-the-art technologies to revolutionize the electric vehicle charging experience. At its core, the station incorporates high-efficiency solar panels, enabling clean and renewable energy capture, reducing environmental impact, and promoting sustainability. The integration of an advanced Battery Management System (BMS) ensures the efficient utilization and longevity of lithium-ion batteries, while real-time data analytics and predictive maintenance algorithms, known as aging factor analysis, proactively manage the station's components for optimal reliability. A user-friendly mobile application, featuring unmanned QR code payment functionality, simplifies transactions, enhancing user accessibility and convenience. This innovative EV charging station not only supports the transition to electric mobility but also sets new standards for sustainability, reliability, and user-centric design. Its seamless fusion of renewable energy, data-driven maintenance, and intuitive payment systems signifies a significant leap forward in the quest for a cleaner and smarter transportation future.

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EV charging infrastructure, Battery Management System (BMS), unmanned QR code payment, as aging factor analysis.

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This paper presents the development and assessment of an automated optical Quality Control (QC) system to optimize defect detection and dimension measurement in metal casting operations, merging high-resolution imaging, motorized positioning mechanisms, and machine learning algorithms to economize time and resources traditionally required in QC processes. Utilizing an optical method for coordinate measurement and a fine-tuned DETR model for defect detection, the system demonstrates a promising reproducibility error of 0.005mm in dimension measurement and a moderate mean average precision metric (mAP-50) score of 20 in surface defect detection, pinpointing a need for further model optimizations. The paper suggests enlarging the training dataset and exploring alternative computational models or pre-processing techniques to enhance system performance, thereby contributing a foundational framework for advancing automated QC systems in the metal casting industry towards a more accurate and resource-efficient paradigm.

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Quality Control, Coordinate Measurement Machine, Defect Detection, Deep Learning

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Mako (Solanum Nigrum) is one of the important herb used in Unani System of Medicine for liver, kidney and gastro intestinal disorders. Mako is also known as Inabus Salab (Black Nightshade). It is found wild throughout the world. Its temperament is cold and moist in the second degree. It relieves fever and inflammation. Its paste is applied externally to reduce inflammation of stomach and liver. The actions of Mako are anti-inflammatory, Anti spasmodic, Sedative, Diuretic, laxative, antiseptic, fresh extract is used for inflammatory swelling, enlargement of liver and spleen and in cirrhosis of liver. The berries contains steroidal alkaloid glycosides, solasonine alpha and beta solanigrine.

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Key words: Mako, Inabus Salab, Anti inflammatory

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Abstract. Secondary school education is most influencing in the education ladder. In Secondary education period students are tangled with drastic changes related to Physical, Mental, Emotional, Psychological and Sociological issues. These changes differ among IQ level so, impact of changes may influence level of learning in the Secondary education. Teacher Teaching Methods, Strategies and advanced classroom activities with Cognitive Level and Psycho-Motor Skills of Technology can influence variously among the pupil to understand the concept better. A new instructional approach called Flipped Learning is opted by the researcher. Flipped Learning means reversing the learning style of learner and learning environment. So, that spending more time in classroom by hands on activities, Peer Discussions, experiencing practices and Self-Regulation in the learning improved. It will be fruit full only when the teacher reverses the "School work at home and home work at school". The researcher developed an instructional strategy namely Flipped Learning Approach for Teaching 'The Fundamental Unit of Life' unit in Biological Science to Secondary School Students. The researcher tried it out of 100 samples (50 Control Group and 50 Experimental Group). This paper attempts to share the experiences regarding the improve the Achievement Score in Biological Science at formal school setting among Control Group and Experimental Group.

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Keywords: Flipped Learning. Academic Achievement.

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By supplying real-time data from a variety of sensors, the Industrial Internet of Things (IIoT) has completely transformed industrial operations. However, these sensors' dependability varies, which might result in overlooked data points that impair proper analysis and decision-making. This paper explores various data imputation methods in the Internet of Things (IoT), including traditional methods like mean imputation and linear interpolation. The performance metrics and experimental results are evaluated using a relevant IIoT dataset. The paper highlights the impact of imputation accuracy on downstream IIoT applications and discusses challenges and future research directions, such as improving imputation techniques, addressing noisy sensor data, and considering scalability for large-scale deployments.

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Data Imputation, Industrial Internet of Things (IIoT), Missing Sensor Data, Time-Series Imputation, Spatial Imputation, Performance Metrics, Real World Applications, Challenges, Future Directions.

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This research paper explores the diverse and evolving career opportunities within the field of Library and Information Science (LIS) professionals. The study investigates the range of roles that LIS professionals can engage in, encompassing traditional library settings as well as expanding into digital and information management contexts. This paper outlines the expanding horizons for LIS professionals, including positions in academic, public, corporate, and specialized libraries, as well as roles in digital content management, data analysis, and information architecture. This paper also provides an overview of the institutions providing library and information science courses in India. By highlighting the multifaceted nature of modern LIS careers, this paper provides insights into the dynamic options available to individuals pursuing careers in the information field.

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Library profession, Library career, Library opportunities, ,job opportunities in Library sciences

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Classroom teaching on startup of enterprise plays a role in shaping the young mind for taking risks, being imaginative, creative, dynamic, and flexible. They have the ability to spot opportunities, create networks, and are autonomous, self-reliant, and have leadership qualities. All original and innovative ideas are transformed into products and services during the entrepreneurial process to increase an organization's profitability. The purposed of the study is to identify whether the Educational Institutions influence the startup enterprises. 120 respondents who are running the enterprise are selected from Imphal valley using random sampling and with the help of the convenient sampling the required data are collected. To serve the objectives, the study runs Chi-Square analysis, percentage tools. An investigation results reveals that there is significant association between the educational institution and startup enterprise in the study area.

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Innovation, Creativity, Education, and Entrepreneurial process.

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With the constant proliferation of web applications around the world, it is difficult to obtain the appropriate information needed by the user in a short period of time.The number of handheld mobile devices is growing, and the majority of business revolves around data search. It is quite difficult to obtain essential information from online apps without a robust recommender system. Recommender systems are used in web applications to give relevant data to users depending on their preferences and interests. Different types of recommender systems have been presented to meet various needs. Collaborative filtering recommender systems and content based recommender systems are the two most fundamental forms of recommender systems. These two recommender systems are sometimes combined to improve the efficiency of a recommender system. The new recommender system that was created is known as a hybrid recommender system. This paper's goal is to assist readers grasp the fundamentals of recommender systems. This report lists significant research fields that are open to new researchers. After reading this work, new researchers will have a better understanding of the fundamental challenges with recommender systems that need to be addressed.

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Recommender systems, Research problems

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Various endogenous systems in our body produce free radicals, which are reactive oxygen species. It is formed when our body is exposed to different physical and chemical conditions. A balance between free radicals and antioxidants is necessary for normal physiological function. Plant foods are important for their antioxidant activity, which is attributed to the phenols, which are known to protect against the harmful effects of oxygen radicals. Millet contains an abundance of bioactive compounds with antioxidant activity. The intake of antioxidants through the diet is essential for improving human health. The review is aimed at evaluating the antioxidant compounds in millets and the factors that influence their antioxidant activity. The millet contains naturally occurring phenolic compounds, which include phenolic acids, flavonoids, and tannins. In addition to xylo-oligosaccharides, insoluble fibers, peptides, and certain lipophilic antioxidants, including vitamin E and carotenoids, were extensively distributed among varieties.

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Antioxidant activity, Reactive oxygen species, bioactive compounds, millets

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Swami Vivekananda believed education is the manifestation of perfection already in men. He did not think it a pity that the existing system of education did not enable a person to stand on his own feet, nor did it teach him self-confidence and self-respect. To Vivekananda, education was not only collection of information, but something more meaningful; he felt education should be man-making, life giving and character-building. To him education was an assimilation of noble ideas. Sri Aurobindo's (1956) concept of 'education' is not only acquiring information, but "the acquiring of various kinds of information'', he points out, "is only one and not the chief of the means and necessities of education: its central aim is the building of the powers of the human mind and spirit". Aurobindo emphasized that the main aim of education is to promote spiritual development. According to him every human being has some fragment of divine existence within himself and education can scan it from each individual with its full extent. Keywords: Manifestation, spiritual development, and education

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COMPARATIVE VIEWS OF EDUCATION IN THE LIGHT OF SWAMI VIVEKANANDA AND SRI AROBINDO GHOSH

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Today democracy is appreciated by all over the world but still there are several challenges to democracy. It is defined as a form of government and way of life. I diversity country like India mere political democracy is meaningless until and unless economic and social democracy. Ours it the greatest democratic country but still millions of people are struggling for their daily basic needs.

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Democracy, Social democracy, Government people's power, Accountability

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This paper examines the process of decolonization in India, as presented in V.S. Naipaul's India: A Million Mutinies Now. The paper examines the role of religion and political environment in shaping the Indian people's attitudes and responses to the British Raj. It explores how the Indian people reacted to British rule, and how they re-asserted their autonomy and freedom in the post-independence era. The paper argues that decolonization is an ongoing process, and even in the post-independence era, India's people continue to struggle against the legacy of imperialism. Through an examination of Naipaul's work, the paper demonstrates that decolonization is a complex and multifaceted process. It is a process that involves individuals, communities, and the nation, and requires both struggle and adaptation. The paper concludes by asserting that decolonization is not a one-time event, but an ongoing process that is necessary for a nation to maintain its autonomy and freedom.

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Decolonization, Traditional culture, Indian Society, Anti-Enlightenment, Post-colonization, Culture, Political Movements.

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Hyperlipidemia is the most common modifiable cause of atherosclerotic cardiovascular disease. Our understanding of managing hyperlipidemia has led us to the concept of the inverse correlation of low-density lipoprotein cholesterol (LDL-C) and non-high-density lipoprotein (non-HDL) cholesterol with the advent of a major adverse cardiovascular event. This review will provide an overview of lipids and their metabolism. Additionally, it will focus on hyperlipidemia and approaches to its management.

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Lipid metabolism, Statin-induced myopathy, Bempedoic acid, Niacin, Low density lipoprotein-cholesterol.

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Drug delivery of therapeutics to the target structures is essential for treatment efficiency and safety. Patients' compliance with the treatment schedule remains another challenge. Implantable drug delivery systems (IDDSs) provide a way to solve these problems. IDDSs are bioengineering devices surgically placed inside the patient's tissues to avoid first-pass metabolism and reduce the systemic toxicity of the drug by eluting the therapeutic payload in the vicinity of the target tissues. IDDSs present an impressive example of successful translation of the research and engineering findings to the patient's bedside. It is envisaged that the IDDS technologies will grow exponentially in the coming years. However, to pave the way for this progress, it is essential to learn lessons from the past and present of IDDSs clinical applications.

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Implantable drug delivery systems, Brain Tumor, Glioma, Radiation Therapy, Chemotherapy, Radiosurgery.

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Hybrid electric vehicles (HEVs) have the potential to reduce fuel consumption and emissions while improving the performance of conventional vehicles. However, the design of an energy management strategy for HEVs is a challenging problem due to the complex interactions between the vehicle's power sources and the driving conditions. The study commences with a comprehensive understanding of the problem domain, emphasizing the need to balance the power allocation between the internal combustion engine (ICE) and the electric motor to meet performance requirements while minimizing fuel consumption. Data collected from various vehicle sensors are preprocessed and used to train a DRL agent, implemented through neural network architectures. In this paper, we propose a new energy management strategy for HEVs based on DRL. The proposed strategy uses a DRL agent to learn how to control the power flow between the HEV's power sources in order to minimize fuel consumption and maximize range. The DRL agent is trained using a dataset of driving cycles that are representative of the operating conditions of the HEV. The performance of the proposed strategy is evaluated on a variety of driving cycles and it is shown to be able to significantly improve the fuel economy of the HEV. The proposed strategy has several advantages over traditional energy management strategies. First, it is able to adapt to changes in the driving conditions. Second, it is able to learn the optimal control policy even in the presence of uncertainty. Third, it is able to handle complex interactions between the vehicle's power sources. The proposed strategy is a promising approach for developing energy management strategies for HEVs. The results of this study show that DRL can be used to develop efficient and robust energy management strategies for HEVs.

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 Keywords

Energy management strategy, Hybrid electric vehicle, DRL, Fuel economy, Range.

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