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Research ArticleOpen accessEvery word in the titleMicrobial Diversity as a Biological Control Mechanism for Fruit Tree Diseases: A Comparative ApproachZhichao TangThe traditional methods of fruit tree pest control have long relied on chemical pesticides. This not only leads to increased resistance of pests and diseases but also adversely affects the ecological environment and fruit safety. Although biological control has gradually received attention, the current research on how to systematically use microbial diversity to achieve efficient control and prevention is still … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 8 Apr 2026 · 1,603 accessesView PDFCite
Literature ReviewOpen accessEvery word in the titlePotential Therapies for Mitochondrial Diseases Caused by mtDNA MutationsAnastasia V. Poznyak, Nikolay A. Orekhov, Dmitry Felixovich Beloyartsev et al.Mitochondrial diseases, caused by mutations in mitochondrial DNA (mtDNA), present significant genetic and clinical complexities that challenge accurate diagnosis and treatment. This review examines the critical molecular mechanisms underlying these disorders, particularly the role of heteroplasmy, where mixtures of mutated and normal mtDNA influence disease severity, and the nuclear-mitochondrial DNA interactions that compound diagnostic and therapeutic challenges. The threshold effect, … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 4 · 15 Feb 2026 · 1,735 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEmpirical Study on Modified Pre-Trained CNN Architectures for Fitzpatrick17k Skin Diseases Prediction ModellingSteven Matthew, Nur Afny Catur Andryani, Rojali et al.Preventing missed diagnosis of skin diseases is critical for enhancing patient outcomes. Technology support empowered by AI based algorithms have been recently developed to minimize the burden. Convolutional Neural Networks (CNNs) are increasingly utilized for image classification tasks including skin's diseases prediction modelling. Its advancement architectures such as pre-trained models, VGG16 andResNet50 provide a strong foundation to up-skill the prediction … …Journal of Computer Science, Vol. 21, Issue 7 · 8 Jul 2025 · 3,934 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleBig Data Framework for Predicting Infectious Diseases to Improve Healthcare by Discovering New Symptom PatternsAmal Mohamed Mounir, Mohamed Ibrahim Marie, Laila Abd-ElhamidThe utilization of big data in infectious disease control represents a captivating opportunity, as these novel data streams offer the potential to enhance the timeliness of preventive measures. Various healthcare providers in both the public and private sectors generate, store, and analyse extensive datasets to enhance the quality of services they deliver. Recently, the outbreak of the new coronavirus, COVID-19, … …Journal of Computer Science, Vol. 20, Issue 10 · 2 Aug 2024 · 4,915 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHMGD: A High-Accuracy Model for Detection and Prediction of Respiratory Genetic DiseasesKamal ElDahshan, Hesham Hefny, Iman Ahmed ElSayedRespiratory genetic diseases are considered a major participant in the reasons of death worldwide nowadays and were one of the major participants in helping in increasing the numbers of COVID-19 patients. It is considered one of the most alarming diseases affecting in particular the respiratory system. The journey of early detection of respiratory genetic diseases is considered to be very … …Journal of Computer Science, Vol. 20, Issue 6 · 30 Mar 2024 · 5,272 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Robust Ensemble Convolutional Neural Networks for Diagnosing Chest DiseasesMansour Ali Alhlalat, Ahmad Abdel-Aziz Sharieh, Mohammed Belal Al-ZoubiRadiologists employ X-ray images to differentiate various chest diseases. Given the intricate and meticulous nature of this diagnostic procedure, the assistance of automated models becomes imperative in detecting and diagnosing diseases from X-ray images. This research paper proposed a novel approach called Ensemble Convolutional Neural Network for Diagnosing Chest Diseases (ECDCNet), aimed at accurately and efficiently diagnosing fifteen different chest … …Journal of Computer Science, Vol. 19, Issue 12 · 27 Oct 2023 · 5,104 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEarly Detection and Classification Approach for Plant Diseases based on MultiScale Image DecompositionAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabThis paper presents a new and powerful approach for detecting and classifying leaf diseases for plant diagnosis with high accuracy. The main contribution of this paper is that a hybrid approach is proposed by using the combination of Partial Differential Equations (PDE) based image decomposition, segmentation, feature extraction, features selection and classification aiming to improve the classification accuracy and provide … …Journal of Computer Science, Vol. 17, Issue 3 · 25 Mar 2021 · 7,205 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDetermination of Neuromuscular Diseases Using Complexity of Electromyogram SignalsKawser Ahammed, Mosabber Uddin AhmedCharacterization of Electromyogram (EMG) signals is important for identifying neuromuscular diseases. Although various techniques were implemented for classification, none of them were implemented in the complexity domain. In this study, characterization of EMG signals recorded from healthy, neuropathic and myopathic subjects has been performed in complexity domain based on Multiscale Entropy (MSE) method. To do this, the multiscale entropy method … …Neuroscience International, Vol. 10, Issue 1 · 7 Dec 2019 · 7,931 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePsychological Adaptation and Rehabilitation Treatment of Women with Non-Cancerous Diseases of the Female Genital SphereLarisa Valerianovna Kochorova, Boris Lvovich Tsivyan, Nikolay Ivanovich Vishnyakov et al.Treatment of non-cancerous gynecological oncomas is often accompanied by development of problems of psychological nature in patients. According to the data of previous studies, the anxiety-depressive syndrome is observed in 67% of patients. The important point is that a provoked anxiety-depressive syndrome leads to the development of psychosomatic pathology and the deterioration of the physical status of patients. In this … …OnLine Journal of Biological Sciences, Vol. 17, Issue 2 · 10 Jun 2017 · 7,161 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePrevention and Prophylaxis of Tick Bites and Tick-Borne Related DiseasesLara Garcia-Alvarez, Ana Maria Palomar, Jose Antonio OteoTicks are obligate haematophagous arthropods present all over the world able to produce human diseases. Several factors have increased the abundance, circulation and distribution of the pathogens transmitted by ticks, contributing to the change in the vector-borne diseases epidemiology in the last years. This review collects the most important measures for the prevention and prophylaxis of tick-borne diseases. The pre-exposition … …American Journal of Infectious Diseases, Vol. 9, Issue 3 · 5 Nov 2013 · 7,692 accessesView PDFCite