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Articles by Lee DS
BTSANet: integrating structural prior and temporal dynamics with Mamba for accurate cerebrovascular segmentation in DSA sequences
BTSANet: integrating structural prior and temporal dynamics with Mamba for accurate cerebrovascular segmentation in DSA sequences 1School of Mechanical and Electrical Engineering, Guangdong University of Technology, Guangzhou, Guangdong, China 2School of Art and Design, Guangdong University of Technology, Guangzhou, Guangdong, China DOI 10.7717/peerj-cs.3897 Academic Editor Davide Chicco Subject Areas Algorithms and Analysis of Algorithms, Artificial Intelligence, Computer Vision, Data Mining...
Genome-wide identification of WRKY members in elephant grass ( Cenchrus purpureus ) and its expression profiling under aluminum stress
Mengying Ruan conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft. Zhe Ma conceived and designed the experiments, performed the experiments, analyzed the data, authored or reviewed drafts of the article, and approved the final draft.
Assessment of radiation safety awareness among nurses in nuclear medicine departments
Exposure to ionizing radiation is a potential hazard faced by healthcare workers in NM departments, particularly nurses who interact with patients during nuclear imaging and treatment procedures. Therefore, assessing nurses’ radiation safety awareness is crucial to ensure adherence to protective measures and minimize unnecessary radiation exposure, ultimately benefiting both their health and patient safety.
Quality improvement interventions to prevent late-onset sepsis in premature infants: a systematic review and meta-analysis
This systematic review and meta-analysis of 29 QI studies (21 included in quantitative synthesis, n = 29,120 preterm infants) provide robust evidence that QI bundles significantly reduce LOS in premature infants, with a pooled OR of 0.47 (95% CI [0.38–0.58]) for VLBW infants and 0.49 (95% CI [0.29–0.83]) for ELBW infants.
Assessing the risk of falling in community-dwelling older adults through cognitive domains and machine learning techniques
Assessing the risk of falling in community-dwelling older adults through cognitive domains and machine learning techniques 1Departamento de Ingeniería Informática, Universidad Católica de la Santísima Concepción, Concepción, Chile 2Grupo Inicial de Investigación en Tecnología e Innovación en Salud para el Bienestar de las Personas (VITALIS), Universidad Católica de la Santísima Concepción, Concepción, Chile 3Centro de Investigación en Biodiversidad y Ambientes Sustentables (CIBAS),...
Diagnostic and prognostic implications of growth differentiation factor 15 in heart failure with preserved ejection fraction: a systematic review and meta-analysis
In this systematic review and meta-analysis, a total of 5,696 HFpEF patients were included from 28,193 participants. GDF-15 levels were significantly higher in the HFpEF patients compared to the control group of the non-HF population. GDF-15 has a good diagnostic accuracy in diagnosing HFpEF and appears to be slightly superior compared to conventional biomarkers.
Efficient sepsis detection using deep learning and residual convolutional networks
Sepsis is a critical health condition resulting from an abnormal response to infection. It ranks as the sixth leading cause of death worldwide, responsible for more than 11 million fatalities each year. Early fluid therapy, antibiotics, and source control management are essential to improve survival rates. However, diagnosing sepsis is challenging due to its complex presentation and rapidly changing symptoms.
Role of hypothalamus function in metabolic diseases and its potential mechanisms
Role of hypothalamus function in metabolic diseases and its potential mechanisms 1Beijing Anzhen Hospital of Capital Medical University, Beijing, China 2Beijing Institute of Heart Lung and Blood Vessel Diseases, Beijing, China DOI 10.7717/peerj.19532 Academic Editor Gwyn Gould Subject Areas Diabetes and Endocrinology, Internal Medicine, Neurology, Nutrition, Obesity Keywords Hypothalamus, Obesity, Diabetes, Metabolic diseases, Hypothalamic nuclei Copyright © Licence This is an open access...
Associations of obesity-related indices with mild cognitive impairment in adults 60 years and older with type 2 diabetes: a retrospective study
Associations of obesity-related indices with mild cognitive impairment in adults 60 years and older with type 2 diabetes: a retrospective study 1Department of Endocrinology, Hebei Medical University, Shijiazhuang, China 2Department of Endocrinology, Hebei General Hospital, Shijiazhuang, China 3Hebei Key Laboratory of Metabolic Disease, Shijiazhuang, China 4Department of Neurology, Hebei General Hospital, Shijiazhuang, China DOI 10.7717/peerj.19442 Academic Editor Daniela Foti Subject Areas...
Dynamic bandwidth allocation in time division multiplexed passive optical networks: a dual-standard analysis of ITU-T and IEEE standard algorithms
Telecommunication and data networks (TDNs) have witnessed significant transformations in the last decade due to technological advancements. The demand for TDN services has risen substantially, and internet connectivity has become ubiquitous. According to the ITU’s 2023 report (Report, 2023), around 5.4 billion individuals use the Internet, making up 67% of the world’s population, an increase of 4.7% compared to 2022.
Molecular profiling and phenotypic evaluation of thermo-sensitive genic male sterility genes for high-yielding rice hybrids (Oryza sativa L.)
Nagendra Naidu B conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft. Manonmani Swaminathan conceived and designed the experiments, performed the experiments, analyzed the data, prepared figures and/or tables, authored or reviewed drafts of the article, and approved the final draft.
Fructose 1,6-bisphosphatase 1 is a potential biomarker affecting the malignant phenotype and aerobic glycolysis in glioblastoma
Fructose 1,6-bisphosphatase 1 is a potential biomarker affecting the malignant phenotype and aerobic glycolysis in glioblastoma 1Medical Molecular Biology Laboratory, School of Medicine, Jinhua University of Vocational Technology, Jinhua, China 2Department of Quality Management, Jinhua Fifth Hospital, Jinhua, China 3Clinical Medicine Department, School of Medicine, Jinhua University of Vocational Technology, Jinhua, China DOI 10.7717/peerj.18926 Academic Editor Fanglin Guan Subject Areas Cell...
A comprehensive exploration of human communal media interaction and its evolving impact on psychological health across demographics and time
A comprehensive exploration of human communal media interaction and its evolving impact on psychological health across demographics and time 1Department of CSE, Daffodil International University, Dhaka, Bangladesh 2Graduate School of Science and Engineering, Saga University, Saga, Japan 3Source InfoTech Inc., Loganville, GA, United States of America 4Department of Computer Science and Information Technology, Benazir Bhutto Shaheed University Lyari, Karachi, Sindh, Pakistan 5School of...
Neighborhood structure-guided brain functional networks estimation for mild cognitive impairment identification
Neighborhood structure-guided brain functional networks estimation for mild cognitive impairment identification 1School of Computer Science and Engineering, Sun Yat-sen University, Guangzhou, China 2School of Public Health, Guangdong Medical University, Dongguan, China 3Shandong Liaocheng Intelligent Vocational Technical School, Liaocheng, China 4Dalian University, Dalian, China DOI 10.7717/peerj.17774 Academic Editor Feng Liu Subject Areas Neuroscience, Cognitive Disorders, Neurology...
MCV-UNet: a modified convolution & transformer hybrid encoder-decoder network with multi-scale information fusion for ultrasound image semantic segmentation
MCV-UNet: a modified convolution & transformer hybrid encoder-decoder network with multi-scale information fusion for ultrasound image semantic segmentation 1Department of Mechanical Engineering, Columbia University, New York, United States of America 2Department of Computer Science, University of Oxford, Oxford, United Kingdom DOI 10.7717/peerj-cs.2146 Academic Editor Syed Hassan Shah Subject Areas Artificial Intelligence, Computer Vision, Neural Networks Keywords Ultrasound imaging, Vision...
Regulation of HDAC11 gene expression in early myogenic differentiation
Regulation of HDAC11 gene expression in early myogenic differentiation 1Department of Cellular and Molecular Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada 2Department of Pathology and Laboratory Medicine, Faculty of Medicine, University of Ottawa, Ottawa, Ontario, Canada DOI 10.7717/peerj.15961 Academic Editor Yegor Vassetzky Subject Areas Bioinformatics, Cell Biology, Molecular Biology Keywords Histone acetylation, Histone deacetylase, Gene regulation,...
Cryptic KMT2A/MLLT10 fusion detected by next-generation sequencing in a case of pediatric acute megakaryoblastic leukemia
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Predicting outcomes following open revascularization for aortoiliac occlusive disease using machine learning
doi: 10.1016/j.jvs.2023.07.006. Online ahead of print. Affiliations Affiliations 1 Department of Surgery, University of Toronto, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, University of Toronto, Canada; Institute of Medical Science, University of Toronto, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Canada.
Optimization of a tri-drug treatment against lung cancer using orthogonal design in preclinical studies
Discussion Despite the remarkable advances in lung cancer treatment, surgical resection has remained the most effective and potentially curative treatment modality. However, during the perioperative period, a surgical procedure may facilitate the entry of circulating tumor cells into the bloodstream (Cristofanilli et al., 2004; Pachmann et al., 2005; Pelaz et al., 2017), allowing them to disseminate the tumor at distant sites.
ACCESS TO HEART FAILURE SERVICES IN CANADA: FINDINGS OF THE HEART & STROKE NATIONAL HEART FAILURE RESOURCES AND SERVICES INVENTORY
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Predicting Outcomes Following Endovascular Abdominal Aortic Aneurysm Repair Using Machine Learning
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Quantifying COPD as a Risk Factor for Cardiac Disease in a Primary Prevention Cohort
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S-Nitrosoglutathione (GSNO)-Mediated Lead Detoxification in Soybean through the Regulation of ROS and Metal-Related Transcripts
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The glacier melting process is an invisible barrier to the development of Antarctic subtidal macroalgal assemblages
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Responsible Imputation of Missing Speech Perception Testing Data & Analysis of 4,739 Observations and Predictors of Performance
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Ultrasensitive Gas Detection Based on Electrically Enhanced Nanoplasmonic Sensor with Graphene-Encased Gold Nanorod
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New Hypertension After Pregnancy in Patients With Heart Disease
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Using machine learning to predict outcomes following carotid endarterectomy
doi: 10.1016/j.jvs.2023.05.024. Online ahead of print. Affiliations Affiliations 1 Department of Surgery, University of Toronto, Canada; Division of Vascular Surgery, St. Michael's Hospital, Unity Health Toronto, Canada; Institute of Medical Science, University of Toronto, Canada; Temerty Centre for Artificial Intelligence Research and Education in Medicine (T-CAIREM), University of Toronto, Canada. 2 Data Science & Advanced Analytics, Unity Health Toronto, University of Toronto, Canada.
Short- and Long-Term Outcomes in Patients With Thrombophilia Undergoing Transcatheter Closure of Patent Foramen Ovale
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A novel residual block: replace Conv1× 1 with Conv3×3 and stack more convolutions
Bottleneck and identity mapping The residual structure is the fundamental module of ResNet. In the ResNet network, the residual structure includes two parts: Bottleneck module and skip connection. The Bottleneck extracts feature information F(x), and then adds it with skip connection x, and uses the activation function to nonlinearly activate x + F(). It can also be said that the identity mapping of feature information is achieved by using skip connections (He et al., 2016a).
Tissue Transglutaminase Expression Associates With Progression of Multiple Sclerosis
Abstract Objective The clinical course of multiple sclerosis (MS) is variable and largely unpredictable pointing to an urgent need for markers to monitor disease activity and progression. Recent evidence revealed that tissue transglutaminase (TG2) is altered in patient-derived monocytes. We hypothesize that blood cell–derived TG2 messenger RNA (mRNA) can potentially be used as biomarker in patients with MS.
Injectable hydrogels for sustained release of therapeutic agents
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