Semi-supervised learning model synergistically utilizing labeled and unlabeled data for failure detection in optical networks
In optical networks, reliable failure detection is essential for maintaining quality of service. The methodology has evolved from ... (Source: Journal of Optical Communications and Networking)
Source: Journal of Optical Communications and Networking - April 23, 2024 Category: Physics Authors: Zhiming Sun Chunyu Zhang Min Zhang Bing Ye Danshi Wang Source Type: research
Machine Learning Enabled Exploration of Multicomponent Metal Oxides for Catalyzing Oxygen Reduction in Alkaline Media
This article is licensed under aCreative Commons Attribution 3.0 Unported Licence.Xue Jia, Hao Li Low-cost metal oxides have emerged as promising candidates used as electrocatalysts for oxygen reduction reaction (ORR) due to their remarkable stability under oxidizing conditions, particularly in alkaline media. Recent studies... The content of this RSS Feed (c) The Royal Society of Chemistry (Source: RSC - J. Mater. Chem. latest articles)
Source: RSC - J. Mater. Chem. latest articles - April 23, 2024 Category: Chemistry Authors: Xue Jia Source Type: research
Assessment of a novel BLOOMY score for predicting mortality in hospitalised adults with bloodstream infection
ConclusionThe BLOOMY 14-day and 6-month scores performed well in the estimations of mortality in our cohort and exceeded some established scores, but their adoption in clinical work remains to be seen. (Source: Infection)
Source: Infection - April 23, 2024 Category: Infectious Diseases Source Type: research
Independent Associations of Aortic Calcification with Cirrhosis and Liver Related Mortality in Veterans with Chronic Liver Disease
This study ’s purpose was to evaluate AAC and liver-related death in a cohort of Veterans with chronic liver disease (CLD).MethodsWe utilized the VISN 10 CLD cohort, a regional cohort of Veterans with the three forms of CLD: NAFLD, hepatitis C (HCV), alcohol-associated (ETOH), seen between 2008 and 2014, with abdominal CT scans (n = 3604). Associations between MAC and cirrhosis development, liver decompensation, liver-related death, and overall death were evaluated with Cox proportional hazard models.ResultsThe full cohort demonstrated strong associations of MAC and cirrhosis after adjustment: HR 2.13 (95% CI 1.63, 2.7...
Source: Digestive Diseases and Sciences - April 23, 2024 Category: Gastroenterology Source Type: research
A new intelligent system based deep learning to detect DME and AMD in OCT images
This study introduces a novel Computer-Aided Diagnosis (CAD) system based on a Convolutional Neural Network (CNN) model, aiming to identify and classify OCT retinal images into AMD, DME, and Normal classes. Leveraging CNN efficiency, including feature learning and classification, various CNN, including pre-trained VGG16, VGG19, Inception_V3, a custom from scratch model, BCNN (VGG16)\(^{2}\), BCNN (VGG19)\(^{2}\), and BCNN (Inception_V3)\(^{2}\), are developed for the classification of AMD, DME, and Normal OCT images. The proposed approach has been evaluated on two datasets, including a DUKE public dataset and a Tunisian pr...
Source: International Ophthalmology - April 23, 2024 Category: Opthalmology Source Type: research
A Semi-Supervised Learning Framework for Classifying Colorectal Neoplasia Based on the NICE Classification
In this study, we aim to develop a SimCLR-based semi-supervised learning framework to classify colorectal neoplasia based on the NICE classification. First, the proposed framework was trained under self-supervised learning using a large unlabelled dataset; subsequently, it was fine-tuned on a limited labelled dataset based on the NICE classification. The model was evaluated on an independent dataset and compared with models based on supervised transfer learning and endoscopists using accuracy, Matthew ’s correlation coefficient (MCC), and Cohen’s kappa. Finally, Grad-CAM and t-SNE were applied to visualize the models...
Source: Journal of Digital Imaging - April 23, 2024 Category: Radiology Source Type: research
Designing feedback processes in the workplace-based learning of undergraduate health professions education: a scoping review
Feedback processes are crucial for learning, guiding improvement, and enhancing performance. In workplace-based learning settings, diverse teaching and assessment activities are advocated to be designed and im... (Source: BMC Medical Education)
Source: BMC Medical Education - April 23, 2024 Category: Universities & Medical Training Authors: Javiera Fuentes-Cimma, Dominique Sluijsmans, Arnoldo Riquelme, Ignacio Villagran, Lorena Isbej, Mar ía Teresa Olivares-Labbe and Sylvia Heeneman Tags: Research Source Type: research
Enhancing clinical reasoning for management of non-communicable diseases: virtual patient cases as a learning strategy for nurses in primary healthcare centers: a pre-post study design
In this study, a web-based software that allows the creation of virtual patient cases (... (Source: BMC Medical Education)
Source: BMC Medical Education - April 23, 2024 Category: Universities & Medical Training Authors: Gerard Nyiringango, Uno Fors, Elenita Forsberg and David K. Tumusiime Tags: Research Source Type: research
Three-arm robotic cholecystectomy: a novel, cost-effective method of delivering and learning robotic surgery in upper GI surgery
AbstractCholecystectomy is one of the commonest performed surgeries worldwide. With the introduction of robotic surgery, the numbers of robot-assisted cholecystectomies has risen over the past decade. Despite the proven use of this procedure as a training operation for those surgeons adopting robotics, the consumable cost of routine robotic cholecystectomy can be difficult to justify in the absence of evidence favouring or disputing this approach. Here, we describe a novel method for performing a robot-assisted cholecystectomy using a “three-arm” technique on the newer, 4th generation, da Vinci system. Whilst maint...
Source: Journal of Robotic Surgery - April 23, 2024 Category: Surgery Source Type: research
An investigation into augmentation and preprocessing for optimising X-ray classification in limited datasets: a case study on necrotising enterocolitis
ConclusionBased on an extensive validation of preprocessing and augmentation techniques, our work showcases the previously unreported potential of image preprocessing in AXR classification tasks with limited datasets. Our findings can be extended to other medical tasks for designing reliable classifier models with limited X-ray datasets. Ultimately, we also provide a benchmark for automated NEC detection and classification from AXRs. (Source: International Journal of Computer Assisted Radiology and Surgery)
Source: International Journal of Computer Assisted Radiology and Surgery - April 23, 2024 Category: Intensive Care Source Type: research
Learning to collaborate within transdisciplinarity: internal barriers and strengths of an art –science encounter
AbstractDespite the recognized importance of transdisciplinarity, including art –science collaborations, for tackling the complex challenges of the Anthropocene, little is known about the internal mechanisms of such alliances. At its best, transdisciplinarity should involve social learning with transformative potential. However, we still need evidence on how this can be achie ved, specifically regarding developing interpersonal interactions and group dynamics. Our study explored the social learning processes and outcomes of an art–science encounter, aiming to highlight such a collaboration’s internal barriers and en...
Source: Sustainability Science - April 23, 2024 Category: Science Source Type: research
Lycium Barbarum Polysaccharides Improves Cognitive Functions in ICV-STZ-Induced Alzheimer ’s Disease Mice Model by Improving the Synaptic Structural Plasticity and Regulating IRS1/PI3K/AKT Signaling Pathway
This study aimed to clarify the mechanisms of LBP in the treatment of ICV-STZ mice model of AD from the perspectives of insulin resistance, IRS1/PI3K/AKT signaling pathway, and synaptic protein expression. We used male C57BL/6J mice injected with STZ (3 mg/kg) in the lateral ventricle as an AD model. After treatment with LBP, the learning and memory abilities of ICV-STZ mice were enhanced, and the pathological changes in brain tissue were alleviated. LBP can regulate the expression of proteins related to the IRS1/PI3K/AKT signaling pathway and th ereby reducing Aβ deposition and tau protein phosphorylation in the brain ...
Source: NeuroMolecular Medicine - April 23, 2024 Category: Neurology Source Type: research
Classification Method of ECG Signals Based on RANet
AbstractBackgroundElectrocardiograms (ECG) are an important source of information on human heart health and are
widely used to detect different types of arrhythmias.ObjectiveWith the advancement of deep learning, end-to-end ECG classification models based on neural
networks have been developed. However, deeper network layers lead to gradient vanishing. Moreover, different
channels and periods of an ECG signal hold varying significance for identifying different types of ECG
abnormalities.MethodsTo solve these two problems, an ECG classification method based on a residual attention neural network
is proposed i...
Source: Cardiovascular Engineering and Technology - April 23, 2024 Category: Cardiology Source Type: research
Assessment of a novel BLOOMY score for predicting mortality in hospitalised adults with bloodstream infection
ConclusionThe BLOOMY 14-day and 6-month scores performed well in the estimations of mortality in our cohort and exceeded some established scores, but their adoption in clinical work remains to be seen. (Source: Infection)
Source: Infection - April 23, 2024 Category: Infectious Diseases Source Type: research
Bladder MRI with deep learning-based reconstruction: a prospective evaluation of muscle invasiveness using VI-RADS
ConclusionsThe application of DLR to T2WI and DWI reduced examination time and significantly improved image quality, maintaining ADC and the diagnostic performance of VI-RADS for evaluating muscle invasion in bladder cancer.Graphical abstract (Source: Abdominal Imaging)
Source: Abdominal Imaging - April 23, 2024 Category: Radiology Source Type: research
