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753 articles for “Population”
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Dermatophytoses: Taxonomy, Pathogenesis, Diagnosis, Resistance, and Management.
Abstract: Dermatophytes, belonging to the family Arthrodermataceae, are keratinophilic fungi responsible for superficial mycoses. Dermatophytoses affect the skin, hair, and nails globally. Over the last few years, dermatophytic infections have seen a sharp rise in India, with the main causative agent being antifungal-resistant Trichophyton mentagrophytes genotype VIII. This review provides a detailed overview of dermatophytoses, including taxonomy, pathogenesis, epidemiology, diagnosis, and treatment. Dermatophytes belong to the kingdom Fungi, family Arthrodermataceae, with …
Published in International Journal of Fungi · Vol. 3, Issue 1, 2026 · pp. 28–37 Read article
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Comparison of Recovery Profile for Total Intravenous Anaesthesia (TIVA) Using Propofol And Remifentanil in Laparoscopic Surgeries
Abstract: Total Intravenous Anaesthesia (TIVA) has become an increasingly preferred technique in modern anaesthetic practice due to advantages such as reduced postoperative nausea and vomiting (PONV), improved hemodynamic stability, minimal environmental impact, and faster recovery compared to conventional inhalational anesthesia. Propofol in combination with remifentanil is widely used for TIVA because of its rapid onset and offset of action, which supports quick postoperative awakening and enhanced patient satisfaction. Target Controlled Infusion …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 39–50 Read article
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Comparison of Models of Machine Learning and Hyperparameter optimization methods on various datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameters tuning step. The traditional exhaustive methods of search (Grid Search and others) ensure that the search space is covered, but are computationally very inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian Optimization, Tree-structured Parzen Estimator (TPE), Genetic Algorithms) are thought to …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
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Emerging Programming Languages Shaping Technology in 2026
Abstract: As technology keeps changing quickly, it's more crucial than ever for developers, students, and tech fans to choose the correct programming language. This article talks about the best programming languages to learn in 2026, focusing on their most important features, how they can be used in the real world, and how much demand there will be for them in the job market in the future. Each language is looked at …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
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Biopolymer Degradation and Structure–Property Relationships in Ageing: A Polymer Science Perspective
Abstract: Ageing, as viewed from the polymer sciences perspective, is perceived as the gradual modification of the structure-property-function interrelationship of biopolymers such as proteins, polysaccharides, nucleic acids and their molecular aggregates. Such changes include structural organization, mechanical behavior, physicochemical stability and functional effectiveness. Ageing is an inevitable multifactorial polymeric process. Due to the growing aging population globally, more age-associated complications emerge, which are correlated with the molecular degeneration of biopolymeric complexes. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 479–489 Read article
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Climate Change Threat in Jaipur: Mitigating and Sustainable Attributes Through Carbon Footprint Reduction
Abstract: Challenges of climate change are significantly increasing on a forward time scale. Such a phenomenon is predominantly seen in urban sectors where population is rapidly increasing, thereby resulting in extensive resource consumption leading to release of significant carbon footprint. An attempt has been made in the present paper by the authors initially to assess the carbon footprint of Jaipur, Rajasthan on a backward and forward time scale partly to suggest …
Published in International Journal of Climate Conditions · Vol. 3, Issue 1, 2026 · pp. 35–50 Read article
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Pharmacodynamics and Drug–Receptor Interactions: Integrating PK/PD Modeling with Modern Drug Development
Abstract: Understanding drug action requires an integrated perspective of pharmacodynamics and pharmacokinetics, which together determine therapeutic efficacy and safety. This review provides a comprehensive overview of the mechanisms underlying drug action, with particular emphasis on drug–receptor interactions and their role in modulating physiological responses. Drugs exert their effects primarily through interactions with specific biological targets, including receptors, enzymes, ion channels, and transporters, resulting in a spectrum of desired and adverse outcomes. …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 Read article
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Leveraging AI and Machine Learning for Early Prediction and Prevention of Non- Communicable Diseases in Resource-Limited Settings
Abstract: Populations in these regions face persistent structural barriers, such as underdeveloped healthcare infrastructure, shortages of trained health professionals, and fragmented or incomplete health information systems. These limitations delay timely diagnosis, restrict access to preventive care, and compromise effective disease management. In recent years, rapid progress in artificial intelligence (AI) and machine learning (ML) has opened promising avenues to mitigate these challenges. Practical applications already emerging include mobile health platforms for …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 15, Issue 1, 2026 · pp. 9–15 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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A Study to Assess the Nutritional Status of Kidney Failure Patients Undergoing Maintenance Hemodialysis
Abstract: Malnutrition is a common and serious complication among patients with end-stage renal disease (ESRD) undergoing maintenance hemodialysis (MHD) and is strongly associated with increased morbidity and mortality. The present study was conducted to assess the nutritional status of patients on maintenance hemodialysis and to identify factors contributing to protein-energy malnutrition in this population. A cross-sectional and follow-up assessment was carried out among patients receiving regular hemodialysis at a dialysis center. …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 3, 2025 · pp. 82–94 Read article
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Animal Gastrointestinal Tract in Animals Health
Abstract: The gastrointestinal tract's (GIT) functionality and health are essential elements that influence animal productivity. Since the management of GIT growth and health involves numerous complicated systems, it is critical to have a better understanding of these interconnections in order to create strategies for modulating GIT functioning and health in the perspective of better animal performance. Within in the animal scientific community, this term of "gut health" has sparked considerable interest. …
Published in International Journal of Animal Biotechnology and Applications Read article
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Psoriasis: Latest Trends in Treatment, Diagnosis and Management in Medical Science
Abstract: Psoriasis is a common chronic inflammatory and autoimmune skin disease that primarily affects the skin. It affects about 2–4% of the world populations. It is clinically characterized by skin rashes, highly inflamed red scale itchy plaque. Abundant therapeutic agents are accessible for the treatment of psoriasis. Wide range of therapeutic mediators such as coal tar, topical corticosteroids, anthralin, retinoid, calcineurin inhibitors, methotrexate, cyclosporine are proven to be effective in treating …
Published in Research and Reviews : A Journal of Biotechnology Read article
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Additive Manufacturing of Rocket Propulsion System: A Review
Abstract: In recent years plenty of research is going on to produce effective manufacturing techniques which can produce complex unique designs with reduced cost and lead time for aerospace applications. In this aspect, Additive manufacturing is getting a wide range of popularity in the aerospace manufacturing domain due to its vast applications and advantages. In terms of geometric flexibility and processing time, additive manufacturing outperforms conventional manufacturing processes. Additive manufacturing has …
Published in Journal of Materials & Metallurgical Engineering Read article
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Using Machine Learning to Analyse Football Teams and Predict the Outcome of a Football Match
Abstract: Football, as one of the most popular sports on the planet, has always attracted a large number of fans. Over 150 million men and women of all ages play it in over 200 countries. Modern football has seen a paradigm shift from being just one of the most physical sports to now being one of the most complex sports due to the involvement of multiple new factors such as Home …
Published in Journal of Communication Engineering & Systems Read article
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An Overview of Hybrid Renewable Energy Systems
Abstract: Long-term evaluation and analysis of several factors should be done to propose a full-phase power generation system based on renewable energy sources. An accurate assessment of the potentially available resources should be done like measuring solar irradiation, wind speed, etc. We are designing a hybrid system where hybridization methods entirely consist of renewable energy sources—specifically solar photovoltaic (PV), wind, and gravity systems. Wind and solar are among the popular renewable …
Published in Journal of Alternate Energy Sources & Technologies Read article
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Detection of Stator and Rotor Winding Faults in Induction Motor using Park’s Vector Approach
Abstract: The Induction Motors in every rotating machine’s heart and it’s a very important component in a much. Almost 90 percent of the Induction Motor use in industry as a prime mover. So Induction Motor is necessary to Condition Monitoring for Economic Running Cost. Condition Based Monitoring of Induction Motor has become an important and difficult task for Engineers and Researchers mainly in Industrial applications. Several Condition Monitoring Methods (Technique) including …
Published in Journal of Control & Instrumentation Read article
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Design and Analysis of PV-based Micro-inverter using INC MPPT Controller and Fuzzy Logic Controller
Abstract: The reserve of conventional energy sources such as coal, natural gas, and crude oil are rapidly decreasing with increasing demand of electricity in the world. Also, the fossil fuels cause air pollution, global warming, and similar environmental problems. Therefore, recent studies have become widespread about renewable energy sources (RESs) such as biomass, hydropower, geothermal, wind and solar which are the most popular worldwide. Among other RESs, solar energy is assumed …
Published in Journal of Microcontroller Engineering and Applications Read article
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Comparison & Improvement in Channel Estimation Techniques for Next Generation Network Using mm wave OFDM Channel
Abstract: This paper develops schemes for orthogonal matching pursuit (OMP), bayesian Cramer Rao Bound & ORACLE-LS channel estimation technique in milli-meter wave (mm-Wave) multiple-input-multipleoutput (MIMO) systems that exploit the spatial sparsity inherent in channels. In simulation results shows comparison between ORACLE LS & orthogonal matching pursuit (OMP) on the basis of NMSE v/s SNR comparison between orthogonal matching pursuit OMP, MSBL, and TSBL-based & various channel estimation techniques for the mm-Wave …
Published in Journal of Telecommunication, Switching Systems and Networks Read article
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Extraction, Isolation, Characterization of Curcumin-I From Curcuminoids
Abstract: The major goal of this study is to extract, isolate, and characterize curcumin-I, a component of curcuminoids. Turmeric, or Curcuma longa Linn., plays a significant role in Ayurvedic medicine. Turmeric, or Curcuma longa Linn, is the popular name for this plant. An array of chemicals with biological activity may be more easily extracted with the help of this seasoning. Some of the compounds at play include curcuminoids and turmerone, although …
Published in Journal of Polymer & Composites Read article
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Design and Machine Work Involved in Fire-fighting Robot
Abstract: Due to a lack of technological advancement, battling fires has long been a dangerous job that frequently results in devastating losses. A human being is prone to error, and current firefighting techniques are ineffectual and inefficient. The use of robots rather than people to deal with fire dangers is a recent idea that has gained popularity. Our project entails building a robot that can recognise and put out a fire …
Published in Trends in Machine design · Vol. 9, Issue 2, 2022 · pp. 1–5 Read article