Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

119 results for “Neuron”
Set a search alert
Research ArticleOpen accessIn the abstractAnalysis of Plasma Amyloid-Beta and Apolipoprotein E Genotypes as Markers of Alzheimer’s Disease in Healthy Korean AdultsEun Ju Oh, Jung Jae Lee, Bo Kyeung Jung, Jae Kyung KimThe presence of the ApoE4 allele interferes with human Amyloid-Beta (Aβ) clearance and reduces the neuronal damage response, which, in turn, is associated with increased Alzheimer’s Disease (AD) risk. Identifying individuals with the highest genetic risk may aid clinical AD diagnosis and prognosis. However, to the best of our knowledge, no previous study has performed blood-based analysis of ApoE polymorphisms … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 1 · 26 Mar 2024 · 4,492 accessesView PDFCite
Research ArticleOpen accessIn the abstractWhale Optimized Deep Generative Adversarial Network Based Alzheimer's Stages Detection Using 3D MRI Brain NeuroimagingR. Sampath, M. BaskarAlzheimer's Disease (AD), a common, chronic neurodegenerative condition, is characterized by the loss of neurons and synapses in the cerebral cortex and specific subcortical regions. According to claims from a recent study, AD has a 20% misdiagnosis rate. Therefore, it is essential to create a useful tool to recognize the stages of AD with a lower prediction error rate to … …Journal of Computer Science, Vol. 19, Issue 8 · 4 Aug 2023 · 5,544 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Intelligent Approach to Develop, Assess and Optimize Energy Consumption Models for Air-Cooled Chillers using Machine Learning AlgorithmsMostafa Tahmasebi, Nabil NassifThe building sector accounts for more than 70% of the total electricity use. Chillers consume more than 50% of electrical energy during seasonal periods of building use. With the growth of the building sector and climate change, it's essential to develop energy-efficient HVAC systems that optimize the ever-increasing energy demand. This study aims to develop an energy consumption prediction model … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 3 · 8 Nov 2022 · 5,516 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Depression Levels using Back Propagation Neural NetworkEddy Muntina Dharma, Yaya Heryadi, Lukas et al.Depression is a mood disorder characterized by feelings of deep sadness and a sense of indifference. When depression recurs in moderate or severe intensity, it can be a serious health condition. The most effective way to deal with this problem is to predict the symptoms of depression at an early stage. In this study, a Back Propagation Neural Network (BPNN) … …Journal of Computer Science, Vol. 18, Issue 3 · 18 Mar 2022 · 6,882 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiagnosing Alzheimer’s Disease using Convolution Neural NetworksSarita, Saurabh Mukherjee, Tanupriya Choudhury et al.Alzheimer’s is a disease wherein constant degeneration of neurons and their synapses result in impaired brain functioning which leads to personality changes, memory loss, thinking and speech disorder. So, there is a requirement of an automated and early diagnosis of this disease to decrease the death rate. The proposed work is coupled with deep learning techniques to predict the Alzheimer’s … …Journal of Computer Science, Vol. 18, Issue 2 · 21 Feb 2022 · 7,344 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Multi-Layer Perceptron Deep Neural Networks using Genetic Algorithms for Hand Gesture RecognitionKhanh Nguyen-Trong, Thi-Thanh-Tan NguyenApplications of wearable sensors for Hand Gesture Recognition (HGR) have been gaining popularity in recent years. Among the proposed methods, deep neural networks with many hidden layers are promising to address the requirements of this wearable activity recognition. They can directly uncover features tied to the dynamics of HGR, from simple motion encoding in lower layers to more complex motion … …Journal of Computer Science, Vol. 18, Issue 2 · 8 Feb 2022 · 7,180 accessesView PDFCite
Review ArticleOpen accessIn the abstractImmune Metabolism in Functional Aspects of the BrainElisa Gonzalez Cuevas, Nitya G. ChakrabortyThe brain interacts with the immune system in a highly regulated and restricted manner. Immune signals initiate pro- and anti-inflammatory activity in most body tissues in response to disease states and injury. An accumulation of inflammatory insults can disrupt immune metabolic homeostasis and give rise to pathology in sensitive areas. Here, we provide an overview of interactions between immune metabolism … …American Journal of Immunology, Vol. 15, Issue 1 · 18 Dec 2019 · 7,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Curcumin and Physical Training on the Brain and Motor Performance of Rats with Cerebral IschemiaKarine Sthéfany Serpa Amaral Dias, Jonas Augusto Ramos, Bruno Mattiello Gomes et al.Brain ischemia is the second most deadly disease in the world and it has already been proven that mild and moderate physical exercises minimize the deleterious effects of this disease on the brain. Curcumin has also been considered a neuroprotective substance. Therefore, the goal of this study was to evaluate the effects of high-resistance training and curcumin on the brain … …Neuroscience International, Vol. 10, Issue 1 · 25 Apr 2019 · 7,765 accessesView PDFCite
Research ArticleOpen accessIn the abstractEstimation of Soils Electrical Resistivity using Artificial Neural Network ApproachKpomonè Komla Apaloo-Bara, Adekunlé Akim Salami, Mawugno Koffi Kodjo et al.The knowledge of the ground electrical resistivity is essential to ensure the protection of electrical and telecommunications networks. However, the monitoring of its values is an expensive task which takes long time. Therefore, its prediction is important. This study investigates on predicting soil electrical resistivity using Artificial Neural Networks. Nine sites of our city (Lome, TOGO) were considered. After characterization … …American Journal of Applied Sciences, Vol. 16, Issue 2 · 13 Mar 2019 · 9,518 accessesView PDFCite
Research ArticleOpen accessIn the abstractCharacterization of the Changes in Opened Sufu Bottles During Storage with Mathematical ModelJingJing Liang, Dawei Li, Ruiqin Shi et al.Artificial Neural Network (ANN) is a type of nonlinear empirical model, which can clarify the complex relation between the inputs and outputs that allows it to approximate any nonlinear function for making predictions. The objective of this study is to monitor the Biogenic Amines (BAs) content and selected physicochemical properties of sufu (a traditional Chinese fermented soybean product) along time. … …American Journal of Biochemistry and Biotechnology, Vol. 14, Issue 4 · 12 Dec 2018 · 9,353 accessesView PDFCite