Applied Science and Biotechnology Journal for Advanced Research
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Ethnobotanical Study of Some Medicinal Plants with Special Reference to Mudakkaruthan Green (Cardiospermumhelicacabum (L.))
Get PDFPlants are very useful source of various bioactive compounds which have direct or indirect use in the treatment of various human ailments. They are the god gift of mother nature in the world they are enormous amount of therapeutic, medicinal properties are rich in various parts and various aliments to cure some diseases in human, and animals in Veera chozhan river bank around two kilometer rich biodiversity conservation places. There are fifty-five medicinal plants are available. This type of herb, shrub and tree plants to cure many diseases in and around village peoples. Most of the plant parts to collect and make various ailments such as cough, sneezing, cold remedy, body pain, skin disorder, stomach problems, dysentery, diabetics, vomiting, itching, nervous disorders, leprosy, oral disorder, urinary problems, kidney stone, muscles infections, dandruff, foot crock, asthma, infertility, bronchitis, eye disorders, nasal disorders, anticancer activity, epilepsy, hemorrhoids, tuberculosis, piles, laxative, headache and would healing, etc.., In the above diseases local villages immediately to collect the plant parts are used to cure some diseases to heal some problems of human begins
Public Health Upsurge: Exploring the Role of Artificial Intelligence in Diagnosing and Managing Chronic Diseases
No full textChronic diseases such as diabetes, heart disease, cancer, and respiratory conditions are increasing globally, placing serious strain on healthcare systems—especially in low- and middle-income countries. Limited resources, underfunded infrastructure, and staff shortages make it difficult to provide timely and consistent care. As more people live with these long-term conditions, the demand for early diagnosis and continuous monitoring continues to grow. This study explores how Artificial Intelligence (AI) can support healthcare providers in managing chronic illnesses more efficiently. It focuses on practical tools such as pattern-recognition software, medical image analysis programs, and wearable devices that track patients\u27 health. Using a quantitative approach, the research reviewed over 20,000 anonymized patient records from the United States and Brazil. It examined three common chronic conditions: type 2 diabetes, heart disease, and COPD. The study compared outcomes before and after AI tools were introduced. Findings show a 28% drop in diagnostic errors and a 22% improvement in early detection. Wearables also helped reduce hospital readmissions. However, challenges like digital inequality and data fairness remain. With proper investment and policy support, AI can greatly improve chronic care
Pharmaceutical Market Access and Drug Affordability in Low-Income Nations
Get PDFThe pharmaceutical industry is going through a paradigm shift, and the dynamics of the sector are increasingly being shaped by emerging markets. The study aimed at examining the impact of regulation of distribution chains and tariff/tax exemptions on pharmaceutical market access and drug affordability in low income countries. The study adopts cross sectional research design. Furthermore, the research method for this study is survey. The study population covered the total population of top management staff of pharmaceutical companies in Nigeria. The study adopted a total of 50 respondents drawn from the total population of the study using the convenient sampling technique. A structured questionnaire was used as instrument of data collection and the collected data were analysed with mean and standard deviation. The study concluded that regulations play a crucial role in streamlining distribution processes, leading to improvements in supply chain logistics and Tariff and tax exemptions play a crucial role in enhancing the availability and accessibility of essential medicines, particularly for vulnerable populations in low-income countries. The study recommended that lowering costs, these exemptions not only improve the diversity and availability of pharmaceuticals but also address significant gaps in supply. Additionally, tax and tariff incentives attract investment from international pharmaceutical companies and organizations, strengthening drug supply chains and fostering strategic partnerships
Corrosion Mechanism and Mitigation in Batteries: A Review
Get PDFBatteries are essential electrochemical components that drive contemporary technologies such as portable electronics, renewable energy sources, and electric cars. However, rust severely impairs battery longevity and performance by causing chemical and electrochemical degradation of electrodes, current collectors, and interfaces. Capacity fading, elevated internal resistance, and possible safety risks including thermal runaway are all consequences of corrosion. This paper examines the basic mechanisms underlying battery corrosion, classifying several forms such as thermal, electrolyte leakage-induced, galvanic corrosion and so on. Furthermore, a thorough analysis is conducted of the variables that affect corrosion, such as temperature, charge-discharge cycles, and electrolyte composition. Advanced diagnostic methods for corrosion monitoring and detection are covered, including X-ray diffraction (XRD), scanning electron microscopy (SEM), and electrochemical impedance spectroscopy (EIS). Additionally, new approaches to corrosion prevention are examined, such as solid-state electrolytes, improved coatings, and electrolyte additives. Additionally emphasized is the use of machine learning and artificial intelligence in conjunction for predictive maintenance and real-time monitoring. Research and development efforts must focus on addressing battery corrosion since it is essential to enhancing the sustainability, dependability, and efficiency of energy storage technologies
Performance of Biomass Power Generation System
Get PDFThe present research work has been carried out on biomass based 10 kW capacity gasifier power generation system installed at College of Agricultural Engineering and Technology, Dr. Panjabrao Deshmukh Agricultural University (Dr. PDKV), Akola Maharashtra, India. The main objectives were to evaluate various costs and benefits involved in the power generation system. The costs of energy per unit were calculated for the first year of operation. The economics of gasifier based power generation system and thereby the feasibility of the system was examined by estimating per unit cost, Net Present Value (NPV), Benefit Cost Ratio (BCR), Internal Rate of Return (IRR) and payback period. The discount cash flow method was used to find out the IRR. In the present analysis, three costs viz. installed capital cost, operation and maintenance cost, and levelised replacement cost were examined for the evaluation of the power generation per unit. Discount rate on investment in case of subsidy (Case I) and in case without subsidy (Case II) for installation cost of system was considered as 12.75 %. The BCR comes in Case I for operating duration of 22 h, 20 h, and 16 h are 1.24, 1.18, and 1.13 respectively. Similarly for Case II BCR comes 1.44, 1.38, and 2.39. The IRR comes in Case I for operating duration of 22 h, 20 h, and 16 h are 26 %, 22 %, and 19 % respectively. Similarly for Case II IRR comes 52%, 44 %, and 39 % for operating duration of 22 h, 20 h, and 16 h respectively. The payback period in the present analysis was worked out. The payback period for biomass based gasifier power generation system were observed to be for Case I from 3 to 4 years and for Case II it was 1 to 2 years
Nutrition Education Based Millets Consumption Analysis of Children in India
Get PDFHidden hunger and MNDs are predominant epidemic among children, particularly in developing nations like India. A sample of 400 parents & respective preschool children (3 - 6 years) were investigated. Knowledge assessment of parents shows, during pre-test, 23.3% parents had good knowledge, 63.2% had average knowledge and 13.5% had poor knowledge, which improved after intervention, and during post-test, 68% parents had good knowledge, 22.3% had average knowledge and 9.8% had poor knowledge. Results of millets consumption of children shows that, during pre-intervention, consumption of millets was 8.8% on daily basis, 9.3% on alternately basis, 7.5% on weekly basis, 6.3% on monthly basis, 6.8% on occasionally basis and 61.5% never use to consume millets. After administration of educational intervention on parents for 6 months, the consumption of millets improved and during post-test the millets consumption was 14.5% on daily basis, 24% on alternately basis, 22.8% on weekly basis, 15.3% on monthly basis, 5.3% on occasionally basis and 18.3% continued to never consume millets
A Study on Review of Pharmaceutical Market in Indian Context
Get PDFThe Indian Pharmaceutical Industry has undergone significant evolution since the country\u27s independence, transforming from a largely import-dependent sector to one of the largest and most dynamic in the world. This evolution has been shaped by various factors, including changes in patent laws, government regulations, and global market dynamics. Today, India stands as a global leader in generic drug manufacturing and exports, with a robust domestic market and a growing presence in international markets. This article provides a comprehensive overview of the historical background, evolution, current scenario, and future prospects of the Indian pharmaceutical industry. It examines key trends, challenges, and opportunities facing the industry, along with the major players driving its growth and innovation. The Researchers aim to study the dynamics of Indian Pharmaceutical market. The study further aims to review the current scenario of Indian Pharma market and to understand the future prospects. The study encompasses the general review of the Pharmaceutical Industry in Indian context. The inferences gathered are indicative in nature rather than exhaustive
LLM Machine Learning for Predicting Cardiovascular Mortality in Patients
Get PDFPatients with chronic kidney disease (CKD) face a high risk of cardiovascular death, yet accurately predicting this risk remains challenging. This study aims to develop an interpretable machine learning (ML) model to predict 10-year cardiovascular mortality in CKD patients using SHAP explainers. [1]Six ML models were created and tested, with the best model selected for prediction and patient categorization. Survival rates were analyzed using log-rank tests on Kaplan-Meier curves, and Cox regression was employed to explore the relationship between ML-predicted risk scores and mortality. The chosen autoencoder (AE) model demonstrated superior performance, with higher ML scores[2] significantly correlating with increased cardiovascular mortality risk. Key determinants such as age, high blood pressure, C-reactive protein, and serum creatinine were identified. The ML-driven tool showcased high accuracy in determining the 10-year cardiovascular mortality risk for CKD patients, offering valuable insights for individual risk assessments
Neural Radiance Fields Convert 2D to 3D Texture
Get PDFThe objective of our project is to capture pictures or videos by surrounding a circle of objects, such as chairs, tables, cars, and more.[1]Utilizing advanced 3D reconstruction technology, we aim to generate 3D models of these captured objects. Post reconstruction, these 3D models can be edited through an intuitive interface, enabling users to apply different textures and make other modifications. This project has significant applications in various domains such as home decoration, vehicle customization, and beyond. For the 3D reconstruction in this project, we employed Nvidia\u27s latest ngp-instant method, which leverages hash encoding for 3D graphics reconstruction. This technique offers a faster inference speed compared to traditional NeRF (Neural Radiance Fields). Following the 3D reconstruction, we apply volume rendering to visualize the 3D models. To facilitate user editability[2], we integrated an editable interface inspired by StyleGAN, utilizing a texture loss function to transform the 3D model into a customizable texture. This combination of technologies allows for a seamless and efficient process in creating and editing 3D models from 2D images
Assessing Agricultural Health through FinTech Data - An Analytical Approach
Get PDFThe agricultural sector plays a crucial role in the economic development of many countries, particularly those with large rural populations. However, traditional methods of assessing the health of the agricultural sector can be limited in scope and timeliness. The rapid advancements in financial technology have transformed the way financial services are delivered, particularly in rural areas. FinTech solutions, such as digital payments, lending, and insurance, can provide valuable insights into the financial activities and challenges faced by farmers and agricultural enterprises.This paper explores the transformative potential of FinTech in the agricultural sector, examining its impact on financial inclusion, resilience, and efficiency. By integrating quantitative FinTech data with qualitative insights from stakeholders, the study provides a comprehensive assessment of the sector\u27s health. Findings indicate that FinTech complements traditional agricultural data, offering a dynamic view of financial activities and performance. Increased FinTech adoption in rural areas can drive financial inclusion, improve credit access, and foster innovation. However, challenges such as digital literacy, infrastructure gaps, and regulatory frameworks need to be addressed. The study emphasizes the importance of investments in digital infrastructure, capacity building, and collaboration between FinTech and agricultural sectors.These insights have implications for policymakers, financial institutions, and agricultural stakeholders, enabling data-driven decision-making, targeted interventions, and the promotion of sustainable agricultural development