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International Journal Bioautomation
Scopus
ISSN 1314-1902 · Bulgarian Academy of Sciences · 482 artikel di indeks
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Frequency of Dribbling as a Form of Speed Manifestation in Highly Qualified Female Hockey Players
This study investigated the relationship between hand movement frequency during dribbling and sensorimotor reaction speed in elite female hockey players. Simple visual-motor reaction (SVMR) and central nervous system activation were assessed using the Psychophysiological UPFT-1/30 apparatus…
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Antibodies, Fluorescent Markers and Their Conjugates. Preparation and Purification of Fluorescently Labeled Antibodies
Immunoassays are highly selective bioanalytical methods that detect or quantify analytes using antibodies or antigens as biorecognition elements. In fluorescent immunoassays, fluorescent probes serve as sensitive and versatile detectable signals, enabling quantitative and multiplexed analysis. The…
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Design and Development of a Smart Mobile-based Optical pH Sensor Using Paper Microfluidics for Oral Health
We have developed and validated a handheld optical pH sensor for monitoring saliva suitable for biomedical diagnostics. The system utilizes a cost-effective paper-based test strip, where a pH responsive dye (phenol red) was immobilized on grade one cellulose filter paper. A pH change leads to a…
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The Influence of SAQ Training on the Change-of-direction Movement Ability of College Basketball Players
In this paper, 20 male basketball varsity team players were divided into a control group adopting conventional agility training and an experimental group adopting speed, agility, and quickness (SAQ) training. The two groups of players were for their change-of-direction movement ability before and…
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Innovative Model for Assessment and Prevention of Mental Health at Work in Healthcare in the Post-COVID Period
COVID-19 burdened the health system unsuspectedly, particularly first-line auditors – doctors, pharmacists, and public health inspectors. The purpose of this study is to investigate the factors that influence occupational stress and burnout among frontline healthcare professionals. The survey…
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Regional Analysis of the Demand-supply Balance for Organic Household Waste Composting and Resource Utilization: A Case Study of Zhoukou City, Henan Province, China
This study aims to explore the regional utilization of organic household waste composting and its resource recycling. Taking Zhoukou city in Henan Province, China, as the case study, the research focuses on two districts, one county-level city, and seven counties within the city’s administrative…
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Radical Scavenging Activity of Hydroxy and Methoxy Substituted 1H-Benzimidazole-2-yl Hydrazones against Hypochlorite Ions and Hydrogen Peroxide
In view of the important role of oxidative stress for human health and pathogenesis, a small series of 1H-benzimidazole-2-yl hydrazones were evaluated for their in vitro efficacy in scavenging hydrogen peroxide and hypochlorite ions. In vitro spectrophotometric system along with luminol-enhanced…
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Design of Glaucoma Optic Neuropathy Risk Monitoring System Based on Integrated Object Detection Machine Learning Eye Biometry Model
Glaucoma optic neuropathy (GON) is a glaucoma complication that has become the second most common cause of blindness in the world. This condition occurs due to an uncontrolled increase in intraocular pressure. Current GON risk monitoring still requires direct contact with the eyes (invasive) and is…
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Machine Learning Methods for Protein Structure Prediction: A Systematic Literature Review
Protein structure prediction (PSP) is a fundamental challenge in computational biology, essential for understanding molecular mechanisms and accelerating drug discovery. This systematic review, conducted under the PRISMA guidelines, presents the application of machine learning (ML) methods for PSP…
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Bayesian Inference of Seizure-related Ionic Dysregulation in Cortical Tissue
This work develops a Bayesian uncertainty quantification framework for personalized modeling of epileptiform seizure dynamics using a high order discontinuous Galerkin discretization of the monodomain reaction diffusion equation coupled with the Barreto-Cressman conductance based ionic model. The…
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Strategies to Increase, Engage and Maintain High-quality Members of a Skin Cancer Clinical Research Network in Australia
Introduction: Australia has the highest incidence of skin cancer globally and it is increasing. In Australia, two in every three trials are investigator-initiated trials developed by clinical research networks (CRNs). CRN trials rely on the participation of high-quality members who are essential to…
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Association Between Chronotype, Social Jetlag, Stress and Sleep in Bulgarian Sports Students
The aim of this study was to evaluate the association between chronotype, stress, sleep and social jetlag (SJL) in Bulgarian sports students. In total, 29 male and female university students were surveyed using the Horne-Ostberg morningness-eveningness questionnaire, smart watch for measuring the…
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Development of an Intelligent Meat Spoilage Detection and Grading System Using Particle Swarm Optimization-based Convolutional Neural Network
This research developed an intelligent meat spoilage and quality grading system using a particle swarm optimization-based convolutional neural network. It addressed the problems associated with the subjective manual assessment of meat quality and inefficient and expensive meat quality grading…
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Power-line Interference Elimination from ECG Signals Using Modified Notch Filtration: A Real Time Version
The traditional notch filtration (NF) seems to be appropriate for successfully suppressing the power-line interference (PLI) commonly encountered in electrocardiographic (ECG) recordings. However, this can be achieved by a very narrow bandwidth that does not correspond to the PLI variations…
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Motion Force Analysis of Group B Difficulty Movements in College Students’ Aerobics Based on Surface Electromyography Characteristics
This paper aims to understand the motion force characteristics of college students when performing group B difficulty movements in aerobics through surface electromyography and 3D camera technology. Subjects were five male aerobics national first-grade. The surface electromyography characteristics…
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A Non-invasive Deep Learning Model for Prostate Cancer Diagnosis with MRI
Prostate cancer (PCa) remains a significant global health concern, with accurate Gleason grade assessment crucial for guiding treatment. Traditional histopathology relies on invasive biopsy and subjective evaluation. This study proposes a novel non-invasive approach for Gleason grade prediction…
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Studying the Effects of the Aquatic Exercise Rehabilitation Training on the Patients with Knee Ligament Injury
As one of the most complex and flexible joints in the human body, the knee joint is highly susceptible to injury during exercise. Therefore, it is crucial to adopt a scientific approach to deal with sports knee injuries in a timely and effective manner. This study selected 20 individuals with…
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Alzheimer’s Disease Dementia Detection Using Transfer Learning Based Convolutional Neural Network Model
Alzheimer’s disease (AD) is the most common type of dementia that is not a result of natural aging. In most countries, it is one of the leading causes of death for seniors. One of the main methods for detecting AD is by magnetic resonance imaging (MRI). Several machine learning (ML) and deep…