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TAXONOMY AND PHYLOGENY OF Limnodrilus hoffmeisteri, Claparède, 1862 BELONGING TO FAMILY TUBIFICIDAE d’ Udekem, FROM DIFFERENT WATERBODIES OF JAHARKHAND BASED ON DNA BARCODING
Get PDFAquatic Oligochaetes were collected from different habitats located in different districts of Jharkhand. Specimens of Limnodrilus hoffmeisteri, Claparède, 1862 was examined in details for ascertaining its taxonomy and phylogeny. Apart from the morphological details, the molecular study based on DNA barcoding was done for the first time for the specimen from this region. Based on the BLASTn results, the specimen was identified as Limnodrilus hoffmeisteri, after which the 18s rRNA nucleotide sequence was submitted to DNA databank of Japan and accession ID LC843736 was obtained. The sequence was used to prepare the distance matrix and phylogenetic tree using MEGA X software. The matrix score ranged from a minimum of 0.00000 to a maximum of 0.00329. The Ranchi strain of Limnodrilus hoffmeisteri (LC843736.1) differed from that of the other 10 (already available in gen bank with a matrix value of 0.00329 in each case). This indicates that the strain of Limnodrilus hoffmeisteri being reported by us form this region may be from an entirely different genetic pool as compared to the other strains selected in this study. From the phylogenetic tree it can be easily seen that the Ranchi strain lies singly in a separate clade from the selected 10 strains which fall in another clade
Advancing Sustainable Agriculture: Integrating Biotechnology, Genetic Engineering, and Environmental Sciences for Improved Crop Yield and Ecosystem Health
Get PDFBiotechnology, genetic engineering, and environmental sciences working together create new ways to makefarming more sustainable. This study looks at new ways to boost crop production while making good use ofresources and keeping the environment healthy. Our analysis combined Genetic Algorithm, Neural Networks,Support Vector Machines, and Random Forest to anticipate crop behaviors and maximize yield throughenvironmental simulations. Our lab tests revealed a 22% crop production enhancement alongside 30% water usagereduction and 25% better soil quality - outperforming traditional approaches by 15-18% in parallel situations.Recent advances in nanotechnology and bioengineering enhanced plant survival under environmental stress andimproved their nitrogen uptake performance by 18%. Through microbe-based innovation plants can deal with dryconditions and utilize nutrients more effectively by 20%. The research demonstrates that using data sciencetogether with various professional specialties leads to better solutions for confronting farming issues like climatechange and resource management. The study combines environmental science with advanced data tools to deliveruseful information for better farming methods. The research demonstrates how better methods in crop farmingand environmental care will establish reliable agricultural systems for global food production
GENETIC DIVERSITY AND EVALUATION OF RESTORERS IN AEROBIC CONDITION FOR GRAIN ZINC CONTENT IN RICE (Oryza sativa L.)
Get PDFThe current research was carried out by Department of Genetics and Plant breeding, Annamalai university, Chidambaram. The experiment trail was conducted at ICAR- Indian Institute of Rice Research, Hyderabad. The aim of this study was to investigate 59 genotypes comprising of 25 back cross inbreed lines (BILs) derived from the cross KMR 3/ N22, thirty-one restorers along with a check under aerobic condition during Kharif, 2023. In this study the back cross inbreed line PSV 6363 has high grain zinc content with 31.10 ppm which higher than the check zincorice
Genetic variability and correlation studies in backcross inbred lines of rice in direct seeded aerobic conditions
Get PDFThe research was conducted to evaluate the genetic variability parameters and correlation analysis for ten yield-related traits of stabilized Backcross Inbred Lines (BILs), derived from an aerobic restorer AR-9-18 and YPK 198 under direct seeded aerobic conditions at ICAR-IIRR, Hyderabad during kharif 2022. The results indicated that the productive tiller number showed high PCV and GCV. Productive tiller number, primary branches, grain number per panicle, test grain weight, grain weight per panicle and plant yield exhibited a high heritability and also high genetic advance as per cent of mean which demonstrates simple selection would be effective for improvements of these traits. Correlation studies indicated that plant yield was associated significantly positive with productive tiller number, days to 50 percent flowering, and test grain weight
Revolutionizing Ayurveda through Artificial Intelligence
Get PDFThe origin of Ayurveda is derived from four Veda: Rigveda, Samveda, Yjurveda, and Atharveda (4500 to 1600 B.C.). Ayurveda has been boon for mankind since 5000 years. The information on health care was subsequently developed by many Ayurveda is replicated from the Darshana shastra, mainly based on Sankhya darshana and Nyaya-Vaishesika darshana. Ayurveda is the ancient science of life. Ayurveda has been science which has been preaching about the longevity of human life. It is necessary to upgrade Ayurveda with new technology so that most of the population would get benefit. Artificial intelligence is a system that replicates human intelligence and problem solving abilities. Artificial intelligence undergoes a number of processes it takes countless data, and then it processes it and helps to streamline it. Artificial intelligence is a branch of science that creates machines that can learn, make decisions according to data it has, and perform tasks. There are many challenges in healthcare that are to improve population health, to improve the patient‟s experience of care, to enhance caregiver experience and to reduce the rising cost of care.1-3 There is need of application of technology and artificial intelligence (AI) in healthcare address some of these supply and demand challenges in the growing population of world
Predictive Modeling of Patient Outcomes Using Machine Learning Algorithms in Health Informatics
Get PDFThe quick development of health informatics technology now utilizes machine learning (ML) methods to improve predictive models that forecast patient results. A comprehensive research analyzes how ML algorithms predict healthcare situations including patient wellness status and hospital re-entry needs and disease advancement tracking. ML models show better ability to predict patient outcomes with higher precision than established statistical solution techniques. The text explores both the practical obstacles related to data quality and interpretability as well as ethical issues faced by ML models. Research confirms that ML demonstrates its ability to transform personalized medical care as well as clinical choice processes
Cybersecurity Challenges in Health Informatics: A Framework for Securing Patient Data
Get PDFAlthough the speedy digitization of healthcare systems has improved efficiency and accessibility, it has also led to vast cybersecurity vulnerabilities. Patient data is at the center of attacks because it is often highly sensitive. In this paper, we present the major cybersecurity issues related to health informatics, from data breaches, ransomware attacks, insider threats, to regulatory compliance. We suggest an all-inclusive framework for patient data security application of strong encryption, multi-factor authentication, real-time monitoring with procurement of legal and ethical guidelines. Through this research, we hope to give healthcare organizations real-world solutions to handle cyber threats while keeping patient information safe
A Study on Employee Well- Being and HRM Practices at the Selected Private Hospitals in Uttar Pradesh
Get PDFThe majority of organizations want to be in good condition. Thus, it stands to reason that if their staff members are in good health and are fit and well, this must undoubtedly help the business operate smoothly. For a business to continue operating profitably and efficiently, its workforce is crucial. The importance of workplace health and employee wellness policies to businesses is growing, as more companies realize the benefits to their operations and the potential impact they might have. The welfare of the workforce is vital to the operation and survival of businesses because HR policies improve the value of human capital with the help of flexibility and development
AI-Powered Behavioral Analytics in Mental Health Developing Predictive Models for Therapy Outcomes
Get PDFTraditional assessment and treatment approaches for mental health disorders use subjective evaluations to serve millions of affected individuals across the world. AI advances as well as behavioral analytics systems allow the healthcare field to gain more data-based insights about patient recovery together with therapy results. Behavioral analytics technology enhanced by artificial intelligence is evaluated for its effectiveness in forecasting therapy result outcomes. Machine learning models detect treatment efficiency through the analysis of multiple data sources that consist of speech vocalizations and facial behaviors and physiological body indicators
PHEROMONAL EFFICACY ON PITUITARY GLAND RELATIG TO REPRODUCTION THROUGH THE NEUROETHO-HYPOPHYSIO GONADAL PATHWAY IN THE FISH CYPRINIS CARPIO
Get PDFConspecifics release chemicals called pheromones, which are known to stimulate spawning behaviour such as eliciting courting, sexual attraction, and spawning readiness. (intraspecific communication) In the current investigation, the fish received weekly injections of 1.5 ml/kg body weight of pheromones for a period of six weeks to the fish, Cyprinus carpio.It has been observed that pheromone showed stimulatory effect which stimulates the sexual behavior and gonadotrophs were increased in number. Consequently, it was determined that pheromone may be utilized as a stimulant in fish breeding in order to attain early maturity and is associated with induction of spawning reflexes in the fish Cyprinus carpio