VinSpace: Recent submissions
Now showing items 1-20 of 373
-
‘I need support to continue my Muay Thai career’: A qualitative study on social support amongst Muay Thai fighters in Thailand
(2023-06-21)Most Muay Thai fighters in Thailand come from marginalized backgrounds, making social support a crucial factor for their success in the sport. This paper explores the role of social support among Muay Thai fighters, ... -
Feeling psychologically unsafe at school and university: Bullying and youth living with depression in Indonesia
(2023-03-19)The prevalence of bullying in Indonesia was reported to be 41% among students aged fifteen. This study explored the experiences of being bullied at school and university, as well as the psychological trauma associated with ... -
Glucose sensors based on chitosan capped ZnS doped Mn nanomaterials
(2023-02)A typical glucose sensor is a glucose oxidase (GOx) enzyme-based sensor due to its high sensitivity and selectivity. However, activating and stabilizing the enzyme presents challenges. To enhance the stability of GOx-based ... -
Optical glucose sensors based on chitosan-capped ZnS-doped Mn nanomaterials
(2923-03-06)The primary goal of glucose sensing at the point of care is to identify glucose concentrations within the diabetes range. However, lower glucose levels also pose a severe health risk. In this paper, we propose quick, simple, ... -
Efficiency measurement using data envelopment analysis (DEA) in public healthcare: Research trends from 2017 to 2022
(2023-03-08)With the shifting healthcare environment, the importance of public healthcare systems is being emphasized, and the efficiency of these systems has become a critical research agenda. This paper reviews recent research on ... -
Breast cancer and screening prevention programmes: Perceptions of women in a multicultural community in Southern Thailand
(2023-03-12)Background: Breast cancer is a leading cause of morbidity and mortality among women worldwide and in Thailand. Objective: This study aims to explore perceptions of breast cancer and screening prevention programs among ... -
Barriers and facilitators to access mental health services among people with mental disorders in Indonesia: A qualitative study
(2023-02-14)Background: The care and treatment management of people with mental health problems has become a prominent global concern in recent years that requires consistent attention. However, the literature suggests that only a ... -
Asymmetric hashing for fast ranking via neural network measures
(2022-11)Fast item ranking is an important task in recommender systems. In previous works, graph-based Approximate Nearest Neighbor (ANN) approaches have demonstrated good performance on item ranking tasks with generic searching/matching ... -
LightX3ECG: A lightweight and explainable deep learning system for 3-lead electrocardiogram classification
(2022-07-25)Cardiovascular diseases (CVDs) are a group of heart and blood vessel disorders that is one of the most serious dangers to human health, and the number of such patients is still growing. Early and accurate detection plays ... -
High accurate and explainable multi-pill detection framework with graph neural network-assisted multimodal data fusion
(2023-09-28)Due to the significant resemblance in visual appearance, pill misuse is prevalent and has become a critical issue, responsible for one-third of all deaths worldwide. Pill identification, thus, is a crucial concern that ... -
Environmental Linguistics
(2022-10)Environmental linguistics is an emerging field at the intersection of linguistics and natural sciences. It recognizes the mutual relationship between cultural and ecological diversity, documenting linguistic structures and ... -
Impact of short and intensive art-based intervention on symptomatology and social interactions among children with autism spectrum disorder
(2023)Background: Consensus on the effectiveness of art therapy in children with autism spectrum disorders (ASDs) is lacking in the literature. Purpose: Here, we examined the effectiveness of a short and intensive art-based ... -
The prevalence of left ventricular hypertrophy associated with type-2 diabetes in Shiraz, Iran: a cross-sectional study
(2023)Background Left ventricular hypertrophy (LVH) is a common diagnosis in patients with cardiovascular disease (CVD). The prevalence of LVH among patients with Type-2 Diabetes Mellitus (T2DM), high blood pressure and aging ... -
The density of bone marrow mononuclear cells and CD34+ cells in patients with three neurologic conditions
(2023)Background This study aimed to identify the density of mononuclear cells (MNCs) and CD34+ cells in the bone mar‑row of patients with three neurologic conditions. Methods The study included 88 patients with three neurologic ... -
PediCXR: An open, large-scale chest radiograph dataset for interpretation of common thoracic diseases in children
(2023)Computer-aided diagnosis systems in adult chest radiography (CXR) have recently achieved great success thanks to the availability of large-scale, annotated datasets and the advent of high-performance supervised learning ... -
A systematic review of the use of topic models for short text social media analysis
(2023-05-01)Recently, research on short text topic models has addressed the challenges of social media datasets. These models are typically evaluated using automated measures. However, recent work suggests that these evaluation measures ... -
Outcomes of autologous bone marrow mononuclear cell administration in the treatment of neurologic sequelae in children with spina bifida
(2023)Background To evaluate the safety and efcacy of autologous bone marrow mononuclear cell (BMMNC) infusion in the management of neurological sequelae in children with spina bifda (SB). Methods BMMNCs were harvested from ... -
VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography
(2023)Mammography, or breast X-ray imaging, is the most widely used imaging modality to detect cancer and other breast diseases. Recent studies have shown that deep learning-based computer-assisted detection and diagnosis (CADe/x) ... -
Absorbance biosensors‑based hybrid MoS2 nanosheets for Escherichia coli detection
(2023)Detecting Escherichia coli is essential in biomedical, environmental, and food safety applications. In this paper, we have developed a simple, rapid, sensitive, and selective E. coli DNA sensor based on the novel hybrid-type ... -
Pancreaticoduodenectomy combined gastroduodenal collateral reconstruction and preservation due to median arcuate ligament syndrome: technical notes with two surgical cases report
(2023)Introduction Pancreaticoduodenectomy in patients with CA stenosis due to median arcuate ligament often required carefully collateral pathways management to avoid hepatic ischemic complications. Cases presentation Case 1: ...