Browsing by Title
Now showing items 305-324 of 524
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Navigating tensions between economic and social integration among immigrant family entrepreneurs: a paradox perspective
(2024-09-23)This study explores the intricate dynamics of immigrant family entrepreneurship, examining how immigrant family entrepreneurs navigate tensions between economic and social integration for sustainability through three ... -
Network-Aided Intelligent Traffic Steering in 6G O-RAN: A Multi-Layer Optimization Framework
(2018)To enable an intelligent, programmable and multi-vendor radio access network (RAN) for 6G networks, considerable efforts have been made in standardization and development of open RAN (O-RAN). So far, however, the applicability ... -
Network-aware Prefetching Method for Short-Form Video Streaming
(2022-09-07)Recent years have witnessed the rising popularity of short-form video platforms such as TikTok. Unlike conventional videos, short-form videos are significantly shorter, and users frequently switch between content. Therefore, ... -
Network-aware prefetching method for short-form video streaming
(2022-09-07)Recent years have witnessed the rising of short-form video platforms such as TikTok. Apart from conventional videos, short-form videos are much shorter and users frequently change the content to watch. Thus, it is crucial ... -
Neural Radiance Projection
(2022-03-20)The proposed method, Neural Radiance Projection (NeRP), addresses three fundamental challenges in training convolutional neural networks for X-ray image segmentation: handling limited or missing human-annotated datasets, ... -
Non-Invasive Prenatal Testing (NIPT) Implementation in Japan: A Comparison with the United Kingdom, Germany, Italy, Sweden, and Taiwan
(2022-12-07)The Non-Invasive Prenatal Testing (NIPT) guideline was introduced in Japan in 2013 by the Japanese Medical Association. Despite its implementation, challenges persist concerning NIPT’s indications, accessibility, cost ... -
Non-Invasive Prenatal Testing (NIPT) Implementation in Japan: A Comparison with the United Kingdom, Germany, Italy, Sweden, and Taiwan
(2022-12)Introduction: The Non-Invasive Prenatal Testing (NIPT) guideline was issued and applied in 2013 by the Japanese Medical Association. Since being issued, the NIPT practice in Japan still has some problems related to indication, ... -
A novel allele-specific PCR protocol for the detection of the HLA-C*03:02 allele, a pharmacogenetic marker, in Vietnamese Kinh people
(2021)Background: Allopurinol, a common anti-hyperuricemia drug, is well known as an inducer of severe cutaneous adverse drug reactions (SCARs). One of the most well-defined risk factors of allopurinol-induced SCARs is the ... -
A novel allele-specific pcr protocol for the detection of the hla-c*03:02 allele, a pharmacogenetic marker, in vietnamese kinh people
(2021)Background: Allopurinol, a common anti-hyperuricemia drug, is well known as an inducer of severe cutaneous adverse drug reactions (SCARs). One of the most well-defined risk factors of allopurinol-induced SCARs is the ... -
A novel approach for pill-prescription matching with GNN assistance and contrastive learning
(2022)Medication mistaking is one of the risks that can result in unpredictable consequences for patients. To mitigate this risk, we develop an automatic system that correctly identifies pill-prescription from mobile images. ... -
A novel deep learning-based approach for sleep apnea detection using single-lead ECG signals
(2022-08)Sleep apnea (SA) is a type of sleep disorder characterized by snoring and chronic sleeplessness, which can lead to serious conditions such as high blood pressure, heart failure, and cardiomyopathy (enlargement of the muscle ... -
A novel multi-view deep learning approach for BI-RADS and density assessment of mammograms
(2022)Advanced deep learning (DL) algorithms may predict the patient’s risk of developing breast cancer based on the Breast Imaging Reporting and Data System (BI-RADS) and density standards. Recent studies have suggested that ... -
Novel technique for scapulothoracic arthroscopy: A case report of the application of intraoperative 3D imaging
(2021-11-03)Excision of the scapular superomedial corner is assumed to help lower the recurrence rate. However, the amount of resection is still controversial. Furthermore, we lack a technique to measure if the resected amount was ... -
Novel technique for scapulothoracic arthroscopy: A case report of the application of intraoperative 3D imaging
(2021-10-30)Snapping shoulder syndrome could be effectively treated with scapulothoracic arthroscopy. The excision of the scapular superomedial corner is assumed to help lower the recurrence rate. However, the amount of resection is ... -
A Novel Transparency Strategy-based Data Augmentation Approach for BI-RADS Classification of Mammograms
(2022-03-20)Image augmentation techniques have been extensively studied to enhance the performance of deep learning (DL) algorithms in mammography classification tasks. Recent advancements have demonstrated the effectiveness of image ... -
A novel transparency strategy-based data augmentation approach for BI-RADS classification of mammograms
(2023-04-17)Image augmentation techniques have been widely investigated to improve the performance of deep learning (DL) algorithms on mammography classification tasks. Recent methods have proved the efficiency of image augmentation ... -
Nurses' values and perspectives on medical aid in dying
(2022-02)The aim of this study was to describe the values and perspectives of nurses regarding medical aid in dying (MAiD). The values of nurses regarding this controversial topic are poorly understood. A cross-sectional electronic ... -
On the effect of isotropy on VAE representations of text
(2022-05)Injecting desired geometric properties into text representations has attracted a lot of attention. A property that has been argued for, due to its better utilisation of representation space, is isotropy. In parallel, VAEs ... -
On the trade-off between privacy protection and data utility for chest X-ray images
(2022)Abstract The advancement of deep learning (DL) techniques has significantly enhanced the accuracy of machine learning (ML) models in medical tasks. However, this progress raises privacy concerns, particularly regarding ...
