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Articles by Lee KY
A hybrid fusion of the recurrent neural network and bidirectional long short-term memory for wind speed prediction in the South China Sea
The methodology employed in this study comprises several key steps: data collection, data preprocessing, model development, model training and testing, and performance evaluation of the forecasting results. The overall workflow is illustrated in Fig. 1, which presents the overall framework of the study. Spatial-temporal weather data over the SCS were obtained from ECMWF and GFS.
Identification and validation of PSMB7 as a novel biomarker for prognosis and immune infiltrates of lung adenocarcinoma
Identification and validation of PSMB7 as a novel biomarker for prognosis and immune infiltrates of lung adenocarcinoma 1Department of Pathology, Daping Hospital, Army Medical University, Chongqing, China 2Department of Cancer Center, Daping Hospital, Army Medical University, Chongqing, China 3Armed Police Hospital of Chongqing, Chongqing, China DOI 10.7717/peerj.19958 Academic Editor Hilal Ozdag Subject Areas Oncology, Pathology, Respiratory Medicine, Surgery and Surgical Specialties...
Association of red blood cell distribution width-platelet ratio with mortality after coronary artery bypass grafting
Association of red blood cell distribution width-platelet ratio with mortality after coronary artery bypass grafting 1Department of Cardiovascular Surgery, Tianjin Medical University General Hospital, Tianjin, China 2Department of Cardiovascular Surgery, TEDA International Cardiovascular Hospital, Cardiovascular Clinical College of Tianjin Medical University, Tianjin, China 3Department of Otorhinolaryngology Head and Neck Surgery, The Affiliated Lihuili Hospital of Ningbo University, Ningbo,...
Interpretable noninvasive diagnosis of tuberculous pleural effusion using LGBM and SHAP: development and clinical application of a machine learning model
This study developed and validated an LGBM model based on routine laboratory data to diagnose noninvasive TPE. By incorporating SHAP analysis, the model’s interpretability was enhanced, allowing clinicians to understand the contribution of each feature to the diagnostic outcome, thus addressing the “black box” problem typically associated with machine learning (Gunning et al., 2019; Holzinger et al., 2017).
Tomato yellow leaf curl virus manipulates Bemisia tabaci, MEAM1 both directly and indirectly through changes in visual and volatile cues
Tomato yellow leaf curl virus manipulates Bemisia tabaci, MEAM1 both directly and indirectly through changes in visual and volatile cues 1Department of Entomology and Nematology, North Florida Research and Education Center, University of Florida, Quincy, FL, United States of America 2Insect Behavior and Biocontrol Research Unit, USDA-ARS, Gainesville, FL, United States of America DOI 10.7717/peerj.17665 Academic Editor Suresh Gawande Subject Areas Agricultural Science, Entomology, Plant...
Frequency-Dependent Neural Modulation of Dorsal Horn Neurons by Kilohertz Spinal Cord Stimulation in Rats
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Deep learning-driven dyslexia detection model using multi-modality data
A multi-modal-based DL model was introduced to detect dyslexia. The authors trained the model using FMRI, MRI, and EEG data. They constructed an image slicer using 3D CNN to extract images from the FMRI images. A CNN model was developed using the weights of the MobileNet V3 model. In addition, the SE block was integrated with the model to extract the crucial features of dyslexia.
Optimized models and deep learning methods for drug response prediction in cancer treatments: a review
Optimized models and deep learning methods for drug response prediction in cancer treatments: a review 1Department of Applied Geology, College of Sciences, Tirkit University, Tikrit, Salah ad Din, Iraq 2Center for Artificial Intelligence Technology, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Selangor, Malaysia 3Department of Computer Networking Systems, College of Computer Sciences and Information Technology, University of Anbar, Al Anbar, Ramadi, Iraq DOI...
Online shopping consumer perception analysis and future network security service technology using logistic regression model
With the progression of the economy and advancements in Internet technology, the practice of online shopping has gradually evolved into a prominent method of consumer purchasing (Ma et al., 2022). The expanding Internet user base and the continual growth of its scale have contributed to the expansion of China’s online shopping market, establishing it as the world’s largest e-commerce market (Song, 2022).
Ant colony optimization-based adjusted PID parameters: a proposed method
Ant colony optimization-based adjusted PID parameters: a proposed method 1Department of Energy Electrical Engineering, Graduate School, Woosuk University, Jincheon-gun, Chungbuk-do, South Korea 2College of Physics and Electronic and Electrical Engineering, Xiangnan University, Hunan, Chenzhou, China 3School of Water Conservancy and Hydroelectric Power, Hebei University of Engineering, Handan, Hebei, China DOI 10.7717/peerj-cs.1660 Academic Editor Muhammad Asif Subject Areas Adaptive and...
Daidzein alleviates osteoporosis by promoting osteogenesis and angiogenesis coupling
Daidzein alleviates osteoporosis by promoting osteogenesis and angiogenesis coupling 1Division of Orthopaedics and Traumatology, Department of Orthopaedics, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China 2Guangdong Provincial Key Laboratory of Bone and Cartilage Regenerative Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China 3Department of Orthopaedics, Xiangyang No.1 People’s Hospital, Hubei University of Medicine, Xiangyang,...
Progress in the mechanism of autophagy and traditional Chinese medicine herb involved in alcohol-related liver disease
Alcohol-related liver disease(ALD) consists of a series of liver diseases caused by excessive alcohol intake. It is characterized by metabolic changes in the liver, mitochondrial damage, destruction of lipid homeostasis, oxidative stress, and cell death caused by excessive drinking (Rehm & Imtiaz, 2016).
Fibre-infused gel scaffolds guide cardiomyocyte alignment in 3D-printed ventricles
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Trans-Aortic Flow Turbulence and Aortic Valve Inflammation: A Pilot Study Using Blood Speckle Imaging and 18F-Sodium Fluoride Positron Emission Tomography/Computed Tomography in Patients With Moderate Aortic Stenosis - PubMed
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Identification of B-cell-related HSPG2 and CDSN as susceptibility loci for Kawasaki disease
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Loss of Neutralizing Activity of Tixagevimab/Cilgavimab (Evusheld™) Against Omicron BN.1, a Dominant Circulating Strain Following BA.5 During the Seventh Domestic Outbreak in Korea in Early 2023 - PubMed
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Predictors for early cardiac death after discharge from successfully treated acute myocardial infarction
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Predicting Fatigue-Associated Aberrant Driving Behaviors Using a Dynamic Weighted Moving Average Model With a Long Short-Term Memory Network Based on Heart Rate Variability - PubMed
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Exploring Approved Medications and the Promise of Phase 3 Clinical Trials: Anti-Obesity Drugs in the Sky and on the Horizon
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Case report: Constrictive pericarditis after coronary artery perforation during percutaneous coronary intervention
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Role of Statins after Endovascular Repair of Abdominal Aortic Aneurysms: A Nationwide Population-Based Study
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Neoadjuvant chemotherapy versus upfront surgery as the initial treatment for patients with resectable, synchronous colorectal cancer liver metastases
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Editorial: Biomarkers and therapeutic strategies in acute lymphoblastic leukemia
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Production of recombinant human IgG1 Fc with beneficial N-glycosylation pattern for anti-inflammatory activity using genome-edited chickens
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Association of Low Arousal Threshold Obstructive Sleep Apnea Manifestations with Body Fat and Water Distribution
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Light-triggered cardiac microphysiological model
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Publisher Correction: Syrians' awareness of cardiovascular disease risk factors and warning indicators: a descriptive cross-sectional study
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Syrians' awareness of cardiovascular disease risk factors and warning indicators: a descriptive cross-sectional study
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Cystic Pheochromocytoma with Hypertensive Crisis and Classic Triad Diagnosed Using Point-of-care Ultrasound in the Emergency Department
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T cell receptor repertoire as a novel indicator for identification and immune surveillance of patients with severe obstructive sleep apnea
Model development and validation Step 1: A total of 20 out of all 157 healthy donor samples were randomly allocated to the testing control group, while the remaining 137 samples were arranged to the modeling control group. Correspondingly, 9 out of all 50 severe OSA patient samples were randomly allocated to the positive testing group, while the other 41 samples were left to the positive modeling group.
Long-term outcomes and predictors of patients with ST elevated versus non-ST elevated myocardial infarctions in non-obstructive coronary arteries: a retrospective study in Northern China
Discussion The objective of this study was to compare the prognosis and predictors of MACE among MINOCA patients with STE and NSTE.
bestDEG: a web-based application automatically combines various tools to precisely predict differentially expressed genes (DEGs) from RNA-Seq data
Evaluation of the web application To evaluate the performance of the bestDEG web application, we used two datasets from a previous study (Costa-Silva, Domingues & Lopes, 2017) that had been taken from the MicroArray Quality Control (MAQC) project (Canales et al., 2006; Shi et al., 2006).
Effectiveness of chatbots on COVID vaccine confidence and acceptance in Thailand, Hong Kong, and Singapore
Chatbots have become an increasingly popular tool in the field of health services and communications. Despite chatbots' significance amid the COVID-19 pandemic, few studies have performed a rigorous evaluation of the effectiveness of chatbots in improving vaccine confidence and acceptance.
Monkeypox in Syria: Highlighting an awareness issue
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Wearable Electrochemical Microneedle Sensor for Continuous Monitoring of Levodopa: Toward Parkinson Management
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