Journal Of Advanced Zoology
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“An Overview On Biological Behavior Of Benzotriazole: Synthesis And Docking Study On Its Versatile Biological Activities”
Get PDFThe practice of medicinal chemistry is devoted to the discovery and development of new chemical agents for treating diseases. Triazoles are obtained by a slight modification of azole ring and similar or improved activities as well as fewer adverse effects are reported for triazole derivatives several advantages are the notable attraction for using benzotriazole moiety-dependent methodologies, in my research work I synthesized various derivatives of n-(1h-benzotriazol-6-yl)-benzamide from Benzene 1,2,4-triamine and benzoic acid with high yield and the synthesized derivatives characterized by FT-IR spectrum, H1 NMR spectrum, and mass spectrum data of synthesized derivatives compounds of benzotriazole Scheme analysis proves that resultant compounds n-(1h-benzotriazol-6-yl)-benzamide derivatives. The molecular docking studies validated the outcome results from the anti-inflammatory and antiarthritic agents and signifies the potential of these derivatives as crystal structure of C-terminus of voltage-gated sodium channel in complex (PDB ID:4DCK) and COX 2 Inhibitor (PDB ID:1CX2) inhibitors. So, these compounds can be modified further for the development of new anti-inflammatory and antiarthritic agents. This study strongly suggests that most of molecules synthesized in this study may indeed be promising drug candidates with interesting pharmacological profile and most of these derivatives could be a fruitful for further development of better anti-inflammatory and antiarthritic activity.
 
Invitro Hydrogen Peroxide Radical Scavenging Activity Of Annona muricata L. Fruit Using Various Solvent Extracts.
Get PDFThe main objective of the present study is to spot light the antioxidant activity of Annona muricata L. in ethanol and ethyl acetate extracts. The invitro antioxidant activity was determined by hydrogen peroxide radical scavenging methods with various concentrations. In ethanol extract, the epicarp showed 102.155 µg/ml and the mesocarp showed 125.174 µg/ml. In ethyl acetate, the epicarp showed 133.606 µg/ml and the mesocarp showed 168.159 µg/ml. The results clearly indicated that IC50 value of the ethanol extract on epicarp showed the higher radical scavenging activity of 102.155 µg/ml than the mesocarp that indicated the value of 125.174 µg/ml. It also shown that the radical scavenging activity of ethanol extract is higher than the ethyl acetate extract. From the present study, it is clear that the antioxidant rich Annona muricata fruit possess anticancer activity and may leads to a promising effect in pharmacological drug discovery
Understanding Cyber Security In Health Sector
Get PDFDigital attacks include extorting money from users, altering, destroying, or gaining access to sensitive data, stopping regular business operations, and more. The medical and health sectors offer numerous potential for cyber security. Digital assaults can take many different forms, such as extorting money from users, destroying, altering, or accessing sensitive material in question areas, interfering with regular corporate operations, etc. Cybersecurity has various prospects in the health and medical sector. This research investigation\u27s main goal is to concentrate safe practices in specific industries. It is very necessary starting with the second generation of computing and will continue to be so till there are computers and data in the digital realm. The medical fields of today also use digital communication and documentation. Such documents must be protected at the highest possible priority. As healthcare systems have delicate information, it becomes essential to protect such sensitive information from cyber threats. In smart healthcare systems, the patient’s information is periodically collected and transmitted seamlessly to the decision-making system. However, protecting such sensitive data transmission from cyber threats becomes a challenging research problem at the edge layer. This paper addresses the challenges of cyber-attack and this study is greatly applicable for health sector
A Comprehensive Review On The Analysis Of Various Machine Learning Algorithms For Early Detection Of Critical Diseases
Get PDFEarly detection of critical diseases is a pivotal aspect of modern healthcare, significantly impacting patient outcomes and healthcare costs. This research paper provides a comprehensive review and analysis of various machine learning algorithms employed in the realm of early disease detection. The study explores the strengths, limitations, and overall efficacy of prominent algorithms, including Logistic Regression, Support Vector Machines, Random Forests, Neural Networks, K-Nearest Neighbors, and Ensemble Learning. Each algorithm\u27s suitability for early detection is assessed based on factors such as interpretability, scalability, and performance in handling diverse data types. Furthermore, the review discusses the specific applications of these algorithms in different medical contexts, highlighting their contributions to the early identification of critical diseases. By synthesizing the current state of research, this paper aims to provide valuable insights for researchers, and policymakers working towards advancing the field of early disease detection through machine learning
Impact Of Data Visualization In Data Analysis To Improve The Efficiency Of Machine Learning Models
Get PDFAn essential component of machine learning is data visualization, which helps analysts comprehend and interpret patterns, connections, and trends in data. Data visualization is a crucial aspect of machine learning that enables analysts to understand and make sense of data patterns, relationships, and trends. Through data visualization, insights and patterns in data can be easily interpreted. This research paper explores the significant impact of data visualization on the efficiency of machine learning (ML) models during the data analysis phase. Data visualization serves as a powerful tool for data scientists and ML practitioners by offering intuitive insights into complex datasets, facilitating a deeper understanding of the underlying data characteristics, and guiding the decision-making process in model development. The visual techniques enhance various aspects of the data analysis phase, including exploratory data analysis (EDA), feature selection and engineering, anomaly detection, and assumption validation, ultimately leading to the development of more accurate and efficient machine learning models
Random Forest Classifier For Crop Prediction Based On Soil Data
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Agricultural development is crucial to feed the growing population. Most farmers tend to cultivate the crops which will give the more economical benefits besides checking the suitability of the crop according to the soil conditions. Use of technology in the agricultural sector leads the sustainable improvements in the agricultural production. Machine learning approach to suggest the suitable crop based on the soil parameters can help the farmers to cultivate the crops accordingly and can produce more yield. In this paper Random Forest Classifier is used to train the Machine Learning model on soil dataset using Python. Model performance is evaluated using confusion matrix and classification report having precision, recall and F1 score. Model accuracy achieved is 99% without parameter tuning.
 
Impact Of Russia-Ukraine War On India And World
Get PDFConflict between Russia and Ukraine have exposed the vulnerabilities in the financial system. The war between Russia and Ukraine is a blow to the global economy begetting rapid inflation and sluggish growth. The ongoing conflict has affected the trade routes and have disrupted supply chains globally. Western nations have unitedly condemned Russian Federation and have placed several sanctions as well as bans on Russia. These sanctions have led to an increase in prices of commodities which will negatively affect the recovery of Global and domestic economy affected by the gruelling pandemic. Russia and Ukraine make up only 2% of global economy but they make majority of many essential products. One of the countries deeply affected by the war is India. The article briefly explores the history of conflict, the global impact of the war and the impact of war on India.
 
Effect Of Protein Levels On Growth Performance And Survival Rate Of Mono Sex Nile Tilapia Under Biofloc System
Get PDFThe current study was conducted to evaluate the "effect of protein levels on growth performance and survival rate of monosex Nile Tilapia under biofloc system". This study was done to assess the optimum level of biofloc meal inclusion in the diet of mono-sex Nile tilapia. The experiment was conducted over a period of 60 days. Growth sampling was done at every fortnight with all the stocked animals from each tank by taking total length and body weight. For this t experiment, four isonitrogenous and isoenergetic experimental dietswere formulated viz., C, T1, T2 and T3. A control diet (C), without biofloc was comparedagainst three prepared diets formulated with different level of biofloc at 15% (T1), 30% (T2) and45% (T3) by manipulating fish meal and soybean meal levels. Commercial diet (T4) was also used to compare the experimental diets. The growth performance such as of feed conversion ratio (FCR), feed efficiency ratio (FER), protein efficiency ratio (PER), specific growth rate (SGR), average weight gain and survival were assessed and statistically analysed.The results showed that among the biofloc meal-containing meals, T1 (15% Biofloc) produced the best results in terms of average body weight growth, FCR, SGR, PER, and FER. 
A Study On Impact Of Emotional Intelligence On Organizational Commitment Among Health Care Workers: A Cross-Sectional Investigation
Get PDFThis cross-sectional study investigates the intricate relationship between emotional intelligence (EI), burnout, and organizational commitment among healthcare workers. The healthcare industry is characterized by high levels of stress and emotional demands, making it imperative to comprehend how emotional intelligence influences the well-being and dedication of its workforce. The primary objective of this research is to examine the impact of emotional intelligence on burnout and organizational commitment within the healthcare context. Emotional intelligence, defined as the ability to recognize, understand, and manage one\u27s own emotions as well as those of others, is hypothesized to act as a crucial factor in mitigating burnout and enhancing organizational commitment among healthcare professionals. The study employs a cross-sectional design, collecting data from a diverse sample of healthcare workers through surveys and standardized assessments. By utilizing established measures of emotional intelligence, burnout, and organizational commitment, the research aims to identify patterns and correlations that highlights on the intricate dynamics between these variables. The findings of this study are anticipated to contribute significantly to the existing body of knowledge in both organizational psychology and healthcare management. Understanding the role of emotional intelligence in buffering against burnout and fostering organizational commitment may have practical implications for interventions and training programs aimed at enhancing the emotional well-being and job satisfaction of healthcare professionals. As healthcare systems worldwide grapple with workforce challenges, insights from this study may inform evidence-based strategies to support healthcare workers in managing stress, promoting resilience, and ultimately improving the overall quality of patient care. This research aligns with the growing recognition of the importance of emotional intelligence in the workplace and underscores its potential as a valuable resource in the demanding field of healthcare.
 
A Study Of Motivational Factors For Village Level Entrepreneurs (Vles)
Get PDFIndia is a developing country. The Indian government has adopted Information and Communication Technology (ICT) to provide the benefits of several schemes and different services to the public. The purpose of using ICT is to render several benefits and services effectively and quickly. In India, all the state governments are more concerned about the same. The government can easily reach out to the people with the use of e-Governance and ICT. The main purpose behind the implementation of e-governance is to provide transparent, quick, interactive, and effective services through governance to the common man at all levels. Therefore, India has implemented a National e-Governance Plan (NeGP) to accelerate the delivery of different government services to Indian residents at their neighboring or convenient places. Hence, under the NeGP an important decision was made by the government to start tele-centers commonly known as Common Service Centers (CSC) in India to be established in PPP Mode (Public-Private Partnership mode). The Common Service Centers are run by local entrepreneurs with the support of the government named Village Level Entrepreneurs (VLE). The key aim of this study is to find out the different factors that motivate rural entrepreneurs to start CSCs. This study will assist the government as well as non-government agencies to motivate the youth of the village and women to start the telecentres to provide government services and successful e-governance.