139 results match your criteria: "VNUHCM [Vietnam National University[Affiliation]"

In this study, the specific activities of Ra, Th and K in the unfired construction materials (solid card bricks, 4-hole bricks, pavement bricks) containing fly ash and bottom ash from a coal-fired thermal power plant in Vietnam were measured using the low-level gamma-ray spectrometer with HPGe detector. Also, the Rn concentrations in these materials were analyzed using RAD7 radon monitor and then radon mass exhalation rate and emanation fraction of these materials were calculated. The potential radiological hazards for residents living in the model room made of these materials were evaluated.

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Article Synopsis
  • SARS-CoV-2 is the virus responsible for the global COVID-19 pandemic, first recognized in March 2020 by WHO, leading to the development of various vaccines and treatments.
  • Despite these advancements, variants like Delta and Omicron pose ongoing challenges, indicating the need for improved therapies and understanding of immune responses.
  • The focus of current research includes exploring the molecular interactions between SARS-CoV-2 and human cells, particularly how its spike protein interacts with ACE2 receptors, potential viral receptors, and the implications for vaccine effectiveness and protein synthesis in infected cells.
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MANet: Multi-branch attention auxiliary learning for lung nodule detection and segmentation.

Comput Methods Programs Biomed

November 2023

University of Science - VNUHCM, Ho Chi Minh City, Viet Nam; John von Neumann Institute - VNUHCM, Ho Chi Minh City, Viet Nam; Vietnam National University, Ho Chi Minh City, Viet Nam.

Background And Objective: Pulmonary nodule detection and segmentation are currently two primary tasks in analyzing chest computed tomography (Chest CT) in order to detect signs of lung cancer, thereby providing early treatment measures to reduce mortality. Even though there are many proposed methods to reduce false positives for obtaining effective detection results, distinguishing between the pulmonary nodule and background region remains challenging because their biological characteristics are similar and varied in size. The purpose of our work is to propose a method for automatic nodule detection and segmentation in Chest CT by enhancing the feature information of pulmonary nodules.

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A phenomenon known as "blue-light leakage" caused by overheating pcW-LEDs has recently been identified, and it poses a risk to users. This study focuses on investigating and optimizing a solution to address this issue. To tackle the problem of overheating and blue light leakage, we explored the application of a specific thermochromic material called crystal nano cellulose (CNC).

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Soil factors, especially metal elements in the soil, play a significant role in forming and accumulating secondary metabolites, which determine the medicinal properties of medicinal herbs. In this study, the concentrations of some metal elements (K, Mn, Fe, Cu, Zn, and Cr) in Cam Mountain and Tinh Bien Town, An Giang Province, Vietnam, were determined using the XRF method. We simultaneously determined the total phenolic and flavonoid content of some medicinal herbs collected from the collected soil sample areas, thereby assessing the influence of these elements on the formation of secondary metabolites in medicinal plants.

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A series of new Co/N-doped porous carbon composites, denoted as Co/CZIF-9 and Co/CZIF-12, containing Co nanoparticles encapsulated in nitrogen-doped carbon matrices were prepared by annealing Co-based zeolite imidazolate framework materials, ZIF-9 and ZIF-12, as the efficient precursors at different temperatures. The structural features of the as-synthesized composites at 900 °C were determined by analytical methods with high reliability. Consequently, Co/CZIF-12_900 exhibits a high first specific discharge capacity of 971.

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Ho Chi Minh City (HCMC) is one of the main socioeconomic and financial centers of Vietnam. The city also faces serious air pollution. However, the city polluted with benzene, toluene, ethylbenzene, and xylene (BTEX) has rarely been studied.

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Effect of Helicobacter pylori on non-homologous end joining-mediated repair of proximal DNA double-strand breaks in GCV6 cells.

Microb Pathog

July 2023

VNUHCM-University of Science, Department of Genetics, Faculty of Biology and Biotechnology, Ho Chi Minh, Viet Nam; VNUHCM-University of Science, Cancer Research Laboratory, Viet Nam. Electronic address:

Infection with Helicobacter pylori is the strongest known risk factor for gastric cancer, which is one of the leading causes of cancer-related mortality worldwide. H. pylori can contribute to carcinogenesis by inducing the genomic instability of infected cells through increasing accumulation of DNA double-stranded breaks (DSBs) and deregulating DSB repair systems.

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A micellar hydrogel has long been considered an intelligent hydrophobic drug delivery material. In this study, synthesized PLA-PEG-PLA micellar hydrogel aims to encapsulate ibuprofen (IBU) in the core PLA hydrophobic of the micelle and prolong the drug release time by an injectable route. The structure and morphology of the PLA-PEG-PLA copolymer hydrogel were demonstrated by H NMR and TEM data.

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Targeting Non-Coding RNAs for the Development of Novel Hepatocellular Carcinoma Therapeutic Approaches.

Pharmaceutics

April 2023

Department of Life Sciences, Cattinara University Hospital, Trieste University, Strada di Fiume 447, I-34149 Trieste, Italy.

Hepatocellular carcinoma (HCC) remains a global health challenge, representing the third leading cause of cancer deaths worldwide. Although therapeutic advances have been made in the few last years, the prognosis remains poor. Thus, there is a dire need to develop novel therapeutic strategies.

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A simple and effective scaffold for mouse hepatic stellate cell primary culture.

Am J Physiol Cell Physiol

June 2023

Laboratory of Stem Cell Research and Application, University of Science, VNUHCM, Ho Chi Minh City, Vietnam.

Scaffold-based culture is necessary for hepatic stellate cells (HSCs) because HSCs are promptly autoactivated under plastic conditions. Our research aims to investigate the potential and role of fibrin scaffold in reducing autoactivation, maintaining cell function, and extending the in vitro culture time of primary HSCs. HSCs were isolated from BALB/c mice and cultured on the surface of plastic, Matrigel, and fibrin gel.

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Global beta-diversity of angiosperm trees is shaped by Quaternary climate change.

Sci Adv

April 2023

Center for Biodiversity Dynamics in a Changing World (BIOCHANGE), Department of Biology, Aarhus University, DK-8000 Aarhus C, Denmark.

As Earth's climate has varied strongly through geological time, studying the impacts of past climate change on biodiversity helps to understand the risks from future climate change. However, it remains unclear how paleoclimate shapes spatial variation in biodiversity. Here, we assessed the influence of Quaternary climate change on spatial dissimilarity in taxonomic, phylogenetic, and functional composition among neighboring 200-kilometer cells (beta-diversity) for angiosperm trees worldwide.

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Support of deep learning to classify vocal fold images in flexible laryngoscopy.

Am J Otolaryngol

May 2023

University of Science, VNUHCM, Ho Chi Minh City, Viet Nam; John von Neumann Institute, VNUHCM, Ho Chi Minh City, Viet Nam; Vietnam National University, Ho Chi Minh City, Viet Nam. Electronic address:

Purpose: To collect a dataset with adequate laryngoscopy images and identify the appearance of vocal folds and their lesions in flexible laryngoscopy images by objective deep learning models.

Methods: We adopted a number of novel deep learning models to train and classify 4549 flexible laryngoscopy images as no vocal fold, normal vocal folds, and abnormal vocal folds. This could help these models recognize vocal folds and their lesions within these images.

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Computational prediction and analysis of the potential ligand binding site within the extracellular ATP receptor, P2K2.

Plant Signal Behav

December 2023

Divisions of Plant Science and Biochemistry, Christopher S. Bond Life Sciences Center, University of Missouri, Columbia, MO, USA.

The plant extracellular ATP (eATP) receptor, P2K2, binds eATP with strong ligand affinity through its extracellular lectin domain. Ligand binding activates the intracellular kinase domain of P2K2 resulting in a variety of intracellular responses and, ultimately, increased plant immunity to invading fungal and bacterial pathogens. Here, using a computational prediction approach, we developed a tertiary structure model of the P2K2 extracellular lectin domain.

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In this study, quantitative structure-property relationships (QSPR) based on a machine learning (ML) methodology and the truncated degree of π-orbital overlap (DPO) to predict the electronic properties, namely, the bandgaps, electron affinities, and ionization potentials of the cyano polycyclic aromatic hydrocarbon (CN-PAH) chemical class were developed. The level of theory B3LYP/6-31+G(d) of density functional theory (DFT) was used to calculate a total of 926 data points for the development of the QSPR model. To include the substituents effects, a new descriptor was added to the DPO model.

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This study focuses on the effects of the chemical process and heating time at 900 °C on pristine anthracite coal (provided by Vang Danh coal, Quang Ninh province, Vietnam) and explores its structure and electrochemical performance when used as an anode in Na-ion batteries. After chemical treatment with NaOH and HSO, the impurity content in the raw material decreased significantly (, ash content dropped from 4.4% to 0.

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Potential Application of Small Interfering RNA in Gastro-Intestinal Tumors.

Pharmaceuticals (Basel)

October 2022

Department of Life Sciences, Cattinara University Hospital, Trieste, Strada di Fiume 447, 34149 Trieste, Italy.

Despite the progress made in the diagnoses and therapy of gastrointestinal cancers, these diseases are still plagued by a high mortality. Thus, novel therapeutic approaches are urgently required. In this regard, small interfering RNA (siRNA), double-stranded RNA molecules able to specifically target the mRNA of pathological genes, have the potential to be of therapeutic value.

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Nine compounds including a new one, garcichaudiic acid (), were isolated from the bark of and their structures were characterized mainly by 1 D and 2 D NMR experiments. The antioxidant capacity of the isolated compounds was determined using DPPH radical scavenging assay and the anti-hyperglycemic activity was assessed by measuring the inhibitory effect against α-glucosidase. Among them, compound showed higher antioxidant activity than the positive control, ascorbic acid, while both compounds and exhibited more significant α-glucosidase inhibitory activity than the reference drug acarbose.

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The new technology development for municipal solid waste incineration fly ash treatment and reuse is urgent due to landfill shortage and environmental effect of leached hazardous substances. Chlorine (Cl) is worth considering due to its high levels in fly ash. In this study, a treatment process of ultrasound combined with organic acid was used to eliminate Cl from fly ash to enhance its properties for reuse.

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Background: For hepatocellular carcinoma (HCC), effective therapeutic approaches are lacking. As aberrant gene methylation is a major contributor to HCC development, demethylating drugs such as 5-azacytidine (5-Aza) have been proposed. As most 5-Aza mechanisms of action are unknown, we investigated its phenotypic/molecular effects.

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A promising approach to combat Covid-19 infections is the development of effective antiviral antibodies that target the SARS-CoV-2 spike protein. Understanding the structures and molecular mechanisms underlying the binding of antibodies to SARS-CoV-2 can contribute to quickly achieving this goal. Recently, a cocktail of REGN10987 and REGN10933 antibodies was shown to be an excellent candidate for the treatment of Covid-19.

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Two new xanthones, oblongixanthones I () and J (), and seven known compounds (-), were isolated from an EtOAc extract of the twigs of . Their structures were elucidated using spectroscopic methods, mainly 1 D and 2 D NMR. The antidiabetic effects of the two new compounds were evaluated using α-glucosidase and PTP1B inhibition assays.

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As semiconductor photocatalysts showing their efficient redox ability upon illumination, new development of materials to enhance the pollution degradation is gaining popularity, especially on their oxidation ability. In this study, a highly stable ternary Fe-ZnO/WO nanocomposite photocatalyst has been synthesized in order to improve charge transfer of photocatalytic oxidation under 30W LED light (425-470 nm) to efficiency degrade the Levofloxacin (LVF) in the solution. This catalyst was characterized and analyzed by XRD, FE-SEM, HR-TEM, X-ray XPS, UPS, PL, TRPL, LSV, EIS, and Photocurrent.

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Sweet Wormwood and Tortoise Shell Decoction (Thanh Hao Miet Giap Thang) Induces DNA Damage, S-Phase Arrest, and Apoptosis in MCF-7 Cells via ATR-CHK1 Signaling Pathway.

Evid Based Complement Alternat Med

March 2022

Department of Genetics, Faculty of Biology and Biotechnology, University of Science, VNUHCM, 227 Nguyen Van Cu Street, District 5, Ho Chi Minh City, Vietnam.

Introduction: Sweet wormwood and tortoise shell decoction, Thanh Hao Miet Giap Thang (THMGT) in Vietnamese, a traditional formula composed of five ingredients, is used in complementary care in Vietnam for patients who underwent conventional cancer treatment. To expand the clinical use and explore novel functions of THMGT, this study was conducted to investigate the effect of THMGT in terms of antiproliferative activity and selective cytotoxicity toward human breast cancer cells MCF-7.

Methods: Cytotoxicity of THMGT against human breast cancer cells MCF-7 and primary fibroblasts from a heathy donor were studied using sulforhodamine B (SRB) assay.

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The building sector is the largest energy consumer accounting for 40% of global energy usage. An energy forecast model supports decision-makers to manage electric utility management. Identifying optimal values of hyperparameters of prediction models is challenging.

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