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32 articles for “genetic variations”
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Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms
Abstract: To diagnose respiratory problems early on, a contactless, non-invasive, real-time assessment of human vibration is a crucial prerequisite. Optoelectronic plethysmography (OEP) and the forced oscillation technique (FOT), are two widely utilized methodologies, depending on variations in each patient’s local chest impedance. Calibration of the devices before each measurement is hence the primary problem of these approaches. This report presents a simulation-based analysis to assess the effectiveness of the CT and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 9–16 Read article
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Path and Trajectory Planning of Unmanned Ground Vehicles with Vehicle Dynamic Characters
Abstract: Given partial knowledge about its environment (obstacle, road…) and goal position, optimal path and trajectory planning is a key problem for the control of unmanned vehicles. In path planning problem, it is very important to consider the dynamic limits of the vehicle with optimization function. The path planning was implemented by applying optimization methods based on the given obstacle information(virtual or measured by sensor system) and numerical map without considering …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 2, 2024 · pp. 7–14 Read article
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Molecular Mechanisms of Drug Metabolism in Anesthesia: A Pharmacogenomic Perspective
Abstract: Pharmacogenomics studies how a person’s genetic profile affects their reaction to drugs, which is vital in anesthesia. Anesthetic pharmacology depends significantly on drug metabolism, which involves complex biochemical processes that manage the absorption, distribution, metabolism, and excretion (ADME) of anesthetic drugs. The cytochrome P450 (CYP) enzyme family plays a critical role in the metabolism of various anesthetic drugs, with genetic polymorphisms leading to inter-individual variability in drug responses. Specific CYP …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 90–95 Read article
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Evaluation of Selected Common Wheat (Triticum aestivum L.) Genotypes for Diverse Traits at Kokate and Hossana, Southern Ethiopia
Abstract: During the 2018/19 cropping season, a field trial involving 49 bread wheat (Triticum aestivum L.) genotypes was conducted at the Kokate and Hossana research sub-stations in Southern Ethiopia. The aim was to assess various characteristics within these genotypes. A simple lattice design was employed, and data on 11 quantitative traits were gathered and analyzed using SAS statistical software. The analysis of variance (ANOVA) revealed that there were notable differences in …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 1, 2025 · pp. 1–11 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
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Virulence Factors in pathogens :mechanisms of infection & disease progression
Abstract: Pathogens, like bacteria, viruses, fungi, and parasites, have evolved specialized tools – known as virulence factors – that help them infect hosts, escape the immune system, and cause disease. These factors play a key role in determining how severe an infection becomes, how quickly it spreads, and how the body responds. Some pathogens use adhesins to stick to host cells, while others produce toxins that damage tissues or disrupt normal …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 6–11 Read article
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Host Invasion to Immune Evasion: Emerging Concepts in Pathogen Virulence Strategies
Abstract: Pathogens have evolved a wide repertoire of virulence strategies that allow them to invade host tissues, establish infection, and circumvent immune responses. From the initial steps of adhesion and colonization to complex molecular mimicry, antigenic variation, and immunomodulation, pathogens display remarkable adaptability. While traditional research has emphasized host cell entry and toxin production, emerging evidence highlights subtler and more dynamic strategies such as manipulation of host signaling pathways, subversion of …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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How Scientists Look for New Pathogens Before They Spread
Abstract: Emerging infectious illnesses are a persistent danger to global health. They often come from unexpected places, such wildlife reservoirs, changes in the climate, or human activities. Finding new diseases before they create epidemics is one of the biggest problems in modern epidemiology. This article talks about how scientists use genetic monitoring, field sampling, and real-time data processing to find, track, and describe new infectious organisms in a way that works …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 11–17 Read article
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AI-Driven Optimization of Biopolymer Composite Formulations Using IoT Data Streams
Abstract: Biodegradable polymer composites have emerged as a sustainable alternative to petroleum-based materials in packaging, biomedical, and structural applications. However, traditional formulation techniques for reinforced polymer composites often lack precision and fail to adapt to real-time variations during processing, resulting in suboptimal material performance. This research proposes a real-time AI-IoT-enabled framework to optimize biopolymer composite formulations. The goal is to intelligently tune composite properties such as mechanical strength, moisture resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 85–100 Read article
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Adoption Barriers to Advanced Reproductive Technologies in the Subsistence Dairy Farming Systems: Key Constraints and the Way Forward
Abstract: The adoption of advanced reproductive technologies (ARTs) in subsistence dairy farming remains limited despite their potential to enhance genetic improvement, fertility rates, and overall productivity. This study explores the key constraints hindering the integration of ARTs, including artificial insemination, embryo transfer, and ovulation synchronization, within small-scale dairy production systems. Financial constraints, lack of awareness, inadequate veterinary support, and socio-cultural resistance are identified as primary barriers. Limited access to affordable credit, …
Published in International Journal of Animal Biotechnology and Applications · Vol. 12, Issue 1, 2026 Read article
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A Systematic Review of the Herbal Medicinal Plants With Anti-Obesity Potential
Abstract: Obesity is a chronic, multifactorial metabolic condition characterized by abnormal fat accumulation. It is mainly driven by the intricate influence of genetic, environmental, hormonal, metabolic and lifestyle determinants. The burden of obesity has risen considerably over the past few years, making it one of the major health concerns in both developed and developing countries alike. The rapid increase globally in obesity prevalence is linked with numerous health complications such as …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 Read article