Fam Process
July 2024
Little is known about how insecure attachment affects aggressive behavior and well-being among Vietnamese youth. Using structural equation modeling, we investigate the mediating role of subjective social status (SSS) on the paths from insecure attachment to overt aggressive behavior (OAB) and psychological well-being (PW) in a sample of 1753 Vietnamese adolescents (M = 16.136, SD = 0.
View Article and Find Full Text PDFIn Vietnam, erectile dysfunction (ED) is prevalent and recognized to be associated with mental disorders; however, societal taboos impede a comprehensive understanding of this connection. Our study aims to investigate the factors related to higher levels of anxiety and/or depression (HAD) in individuals with ED. Between November 2022 and March 2023, a face-to-face survey was conducted at the Center for Andrology of Viet Duc University Hospital, involving 390 patients diagnosed with ED.
View Article and Find Full Text PDFIn our previous work, we demonstrated that when newborn pigs undergo apical resection (AR) on postnatal day 1 (P1), the animals' hearts were completely recover from a myocardial infarction (MI) that occurs on postnatal day 28 (P28); single-nucleus RNA sequencing (snRNAseq) data suggested that this recovery was achieved by regeneration of pig cardiomyocyte subpopulations in response to MI. However, coronary vasculature also has a key role in promoting cardiac repair. Thus, in this report, we used autoencoder algorithms to analyze snRNAseq data from endothelial cells (ECs) in the hearts of the same animals.
View Article and Find Full Text PDFCongenital anomalies of the kidney and urinary tract (CAKUT) are the predominant cause for chronic kidney disease below age 30 years. Many monogenic forms have been discovered due to comprehensive genetic testing like exome sequencing. However, disease-causing variants in known disease-associated genes only explain a proportion of cases.
View Article and Find Full Text PDFThe present study aimed to explore the mediating role of depression in the relationship between subjective social status (SSS) and compulsive shopping behavior (CSB) and whether self-compassion (SC) played a moderating role in this model. The study was designed based on the cross-sectional method. The final sample includes 664 Vietnamese adults ( = 21.
View Article and Find Full Text PDFBackground: Congenital anomalies of the kidney and urinary tract (CAKUT) are the predominant cause for chronic kidney disease below 30 years of age. Many monogenic forms have been discovered mainly due to comprehensive genetic testing like exome sequencing (ES). However, disease-causing variants in known disease-associated genes still only explain a proportion of cases.
View Article and Find Full Text PDFObjectives: Evaluating comprehensive reliability of the Vietnamese Self-Compassion Scale (VSCS) and its ability to distinguish between trait (stable) vs state (dynamic) aspects of self-compassion using Generalisability Theory (G-Theory) is necessary. This investigation contributes to both reliability and validity of research that uses the VSCS to measure self-compassion in Vietnamese adults.
Methods: In a sample of 155 Vietnamese adults who completed the VSCS at three occasions that were each 2 weeks apart, a G-study was conducted to measure reliability and trait vs state aspects of each VSCS subscale and the short-form VSCS, and a D-study was conducted to examine the effects of removing subscales on overall scale reliability as well as evaluate trait vs state aspects of each item.
Objectives: We investigated the characteristics of prophylactic antimicrobial use in clean and clean-contaminated surgical procedures and assessed the efficacy of a prophylactic antimicrobial stewardship intervention at Thong Nhat Hospital, Ho Chi Minh City, Vietnam.
Methods: A cross-sectional study was conducted on 354 patients who underwent either clean or clean-contaminated surgical procedures at Thong Nhat Hospital. Eligible patients were classified with respect to three periods of intervention from 2017 to 2020.
Genomics Proteomics Bioinformatics
June 2021
In this work, we describe the development of Polar Gini Curve, a method for characterizing cluster markers by analyzing single-cell RNA sequencing (scRNA-seq) data. Polar Gini Curve combines the gene expression and the 2D coordinates ("spatial") information to detect patterns of uniformity in any clustered cells from scRNA-seq data. We demonstrate that Polar Gini Curve can help users characterize the shape and density distribution of cells in a particular cluster, which can be generated during routine scRNA-seq data analysis.
View Article and Find Full Text PDFWe report a case of a 40-year-old female patient admitted to the hospital due to lumbar pain that spread to both legs and was associated with weakness of the lower extremities. Magnetic resonance imaging revealed an intradural - extramedullary tumor at the level of the T12 - L2 vertebra. The lesion was over 7 cm in greatest diameter and compressed the conus medullaris.
View Article and Find Full Text PDFPhotoreceptor-specific ciliopathies often affect a structure that is considered functionally homologous to the ciliary transition zone (TZ) called the connecting cilium (CC). However, it is unclear how mutations in certain ciliary genes disrupt the photoreceptor CC without impacting the primary cilia systemically. By applying stochastic optical reconstruction microscopy technology in different genetic models, we show that the CC can be partitioned into two regions: the proximal CC (PCC), which is homologous to the TZ of primary cilia, and the distal CC (DCC), a photoreceptor-specific extension of the ciliary TZ.
View Article and Find Full Text PDFBackground: Recent findings suggesting that () is involved in non-syndromic retinal disease have been debated, as the functional significance of identified missense variants was uncertain. We assessed whether variants cause non-syndromic retinitis pigmentosa (RP).
Methods: Exome sequencing was performed in three probands with RP.
Cellular organelles provide opportunities to relate biological mechanisms to disease. Here we use affinity proteomics, genetics and cell biology to interrogate cilia: poorly understood organelles, where defects cause genetic diseases. Two hundred and seventeen tagged human ciliary proteins create a final landscape of 1,319 proteins, 4,905 interactions and 52 complexes.
View Article and Find Full Text PDFThe finite Gaussian mixture model with kernel correlation is a flexible tool that has recently received attention for point set registration. While there are many algorithms for point set registration presented in the literature, an important issue arising from these studies concerns the mapping of data with nonlinear relationships and the ability to select a suitable kernel. Kernel selection is crucial for effective point set registration.
View Article and Find Full Text PDFIncreasing salinity levels in freshwater and coastal environments caused by sea level rise linked to climate change is now recognized to be a major factor that can impact fish growth negatively, especially for freshwater teleost species. Striped catfish (Pangasianodon hypophthalmus) is an important freshwater teleost that is now widely farmed across the Mekong River Delta in Vietnam. Understanding the basis for tolerance and adaptation to raised environmental salinity conditions can assist the regional culture industry to mitigate predicted impacts of climate change across this region.
View Article and Find Full Text PDFDefects in primary cilium biogenesis underlie the ciliopathies, a growing group of genetic disorders. We describe a whole-genome siRNA-based reverse genetics screen for defects in biogenesis and/or maintenance of the primary cilium, obtaining a global resource. We identify 112 candidate ciliogenesis and ciliopathy genes, including 44 components of the ubiquitin-proteasome system, 12 G-protein-coupled receptors, and 3 pre-mRNA processing factors (PRPF6, PRPF8 and PRPF31) mutated in autosomal dominant retinitis pigmentosa.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
February 2015
A mixture model based on the symmetric Gaussian distribution that simultaneously treats the feature selection, and the model detection has recently received great attention for pattern recognition problems. However, in many applications, the distribution of the data has a non-Gaussian and nonsymmetric form. This brief presents a new asymmetric mixture model for model detection and model selection.
View Article and Find Full Text PDFLeber congenital amaurosis (LCA) and juvenile retinitis pigmentosa (RP) are severe hereditary diseases that causes visual impairment in infants and children. SPATA7 has recently been identified as the LCA3 and juvenile RP gene in humans, whose function in the retina remains elusive. Here, we show that SPATA7 localizes at the primary cilium of cells and at the connecting cilium (CC) of photoreceptor cells, indicating that SPATA7 is a ciliary protein.
View Article and Find Full Text PDFIEEE J Biomed Health Inform
January 2014
Segmentation of a medical image based on the modeling and estimation of the tissue intensity probability density functions via a Gaussian mixture model has recently received great attention. However, the Gaussian distribution is unbounded and symmetrical around its mean. This study presents a new bounded asymmetric mixture model for analyzing both univariate and multivariate data.
View Article and Find Full Text PDFIEEE Trans Image Process
December 2013
This paper aims toward improving background suppression from video frames by incorporating multiresolution features in Gaussian mixture model (GMM). GMM has proven its place for background modeling due to its better applicability and robustness compared with other popular methods in literature. However, GMM fails in a number of situations such as noisy and non-stationary background, slow foregrounds, and illumination variation.
View Article and Find Full Text PDFThe finite mixture model based on the Student's-t distribution, which is heavily tailed and more robust than the Gaussian mixture model (GMM), is a flexible and powerful tool to address many computer vision and pattern recognition problems. However, the Student's-t distribution is unbounded and symmetrical around its mean. In many applications, the observed data are digitalized and have bounded support.
View Article and Find Full Text PDFNephronophthisis is an autosomal recessive cystic kidney disease that leads to renal failure in childhood or adolescence. Most NPHP gene products form molecular networks. Here we identify ANKS6 as a new NPHP family member that connects NEK8 (NPHP9) to INVS (NPHP2) and NPHP3.
View Article and Find Full Text PDFIEEE Trans Neural Netw Learn Syst
February 2013
The well-known finite mixture model (FMM) has been regarded as a useful tool for image segmentation application. However, the pixels in FMM are considered independent of each other and the spatial relationship between neighboring pixels is not taken into account. These limitations make the FMM more sensitive to noise.
View Article and Find Full Text PDFFinite mixture models with symmetric distribution have been widely used for many computer vision and pattern recognition problems. However, in many applications, the distribution of the data has a non-Gaussian and nonsymmetric form. This paper presents a new nonsymmetric mixture model for image segmentation.
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