Healthcare Workers’ Knowledge and Attitudes Regarding the World Health Organization’s “My 5 Moments for Hand Hygiene”: Evidence From a Vietnamese Central General Hospital

Huy Van Nguyen,Hieu Trung Tran,Long Quynh Khuong,Thanh Van Nguyen,Na Thi Nhi Ho,An Thi Minh Dao,Minh Van Hoang 대한예방의학회 2020 예방의학회지 Vol.53 No.4

Objectives: Although the World Health Organization (WHO) initiative “My 5 Moments for Hand Hygiene” has been lauded as effective in preventing hospital-associated infections, little is known about healthcare workers (HCWs)’ hand hygiene behavior. In this study, we sought to assess knowledge and attitudes towards the concepts in this initiative, as well as associated factors, among Vietnamese HCWs at a general hospital. Methods: A structured questionnaire was administered to HCWs at a central Vietnamese general hospital in 2015. Multiple logistic regression analysis was used to identify factors associated with HCWs’ knowledge and attitudes towards hand hygiene. Results: Of 120 respondents, 65.8% and 67.5% demonstrated appropriate knowledge and a positive attitude, respectively, regarding all 5 hand hygiene moments. Logistic regression indicated better knowledge of hand hygiene in workers who were over 30 years old, who were direct HCWs (rather than managers), who had frequent access to clinical information, and who received their clinical information from training. Those who worked in infectious and tropical disease wards, who had frequent access to clinical information, and who received information from training were more likely to have a positive attitude towards hand hygiene than their counterparts. Conclusions: Although many Vietnamese HCWs displayed moderate knowledge and positive attitudes towards the WHO hand hygiene guidelines, a key gap remained. Regular education and training programs are needed to increase knowledge and to improve attitudes and practices towards hand hygiene. Furthermor

Parenchymal-sparing anatomical hepatectomy based on portal ramification of the right anterior section: A prospective multicenter experience with short-term outcomes

Truong Giang Nguyen,Thanh Khiem Nguyen,Ham Hoi Nguyen,Hong Son Trinh,Tuan Hiep Luong,Minh Trong Nguyen,Van Duy Le,Hai Dang Do,Kieu Hung Nguyen,Van Minh Do,Quang Huy Tran,Cuong Thinh Nguyen 한국간담췌외과학회 2024 Annals of hepato-biliary-pancreatic surgery Vol.28 No.1

Backgrounds/Aims: Parenchymal-sparing anatomical hepatectomy (Ps–AH) based on portal ramification of the right anterior section (RAS) is a new technique to avoid unnecessarily transecting too much liver parenchyma, especially in cases of major anatomical hepatectomy. Methods: We prospectively assessed 26 patients with primary hepatic malignancies having undergone major Ps–AH based on portal ramification of the RAS from August 2018 to August 2022 (48 months). The perioperative indications, clinical data, intra-operative index, pathological postoperative specimens, postoperative complications, and follow-up results were retrospectively evaluated. Results: Among the 26 patients analyzed, there was just one case that had intrahepatic cholangiocarcinoma The preoperative level of α– Fetoprotein was 25.2 ng/mL. All cases (100%) had Child–Pugh A liver function preoperatively. The ventral/dorsal RAS was preserved in 19 and 7 patients, respectively. The mean surgical margin was 6.2 mm. The mean surgical time was 228.5 minutes, while the mean blood loss was 255 mL. In pathology, 5 cases (19.2%) had microvascular invasion, and in the group of HCC patients, 92% of all cases had moderate or poor tumor differentiation. Six cases (23.1%) of postoperative complications were graded over III according to the Clavien–Dindo system, including in three patients resistant ascites or intra-abdominal abscess that required intervention. Conclusions: Parenchymal-sparing anatomical hepatectomy based on portal ramification of the RAS to achieve R0-resection was safe and effective, with favorable short-term outcomes. This technique can be used widely in clinical practice.

Photocatalytic removal of Rhodamine B in water using g-C3N4/MIL-53(Fe) material under LED visible light with persulfate activation

Nguyen Trung Dung,Nguyen Van Hiep,Manh B. Nguyen,Vu Dinh Thao,Nguyen Nhat Huy 한국화학공학회 2021 Korean Journal of Chemical Engineering Vol.38 No.10

Photocatalysis is usually considered as one of the most effective methods for treating non-biodegradable pollutants commonly found in textile wastewater. In this study, the photocatalyst of g-C3N4/MIL-53(Fe) was synthesized by the hydrothermal method and applied for the removal of Rhodamine B (RhB) in water. The photocatalytic material was characterized by X-ray diffraction, Fourier-transform infrared spectroscopy, scanning electron microscopy, energy-dispersive X-ray spectroscopy, Brunauer-Emmett-Teller analysis, UV-Vis diffuse reflectance spectroscopy, and X-ray photoelectron spectroscopy. The results showed that the g-C3N4 doped MIL-53(Fe) with 97 wt% of MIL- 53(Fe) works effectively under visible light and the presence of oxidants (Na2S2O8). RhB removal efficiency can be more than 99% with 20mg/L of RhB, 300mg/L of catalyst, 200mg/L of Na2S2O8, and pH 3. In addition, the photocatalytic degradation mechanism of RhB with g-C3N4/MIL-53(Fe) was also proposed, which could be improved and studied for a wide range of applications in textile wastewater treatment.

Study Design for the 2016 Baseline Survey of a Health System Strengthening Project in Quoc Oai District, Hanoi, Vietnam

Van Minh Hoang,오주환,Bao Ngoc Nguyen,Le Minh Dat,이종구,Thi Giang Huong Tran,Van Huy Nguyen,이승표,방경숙,조영태,김선영,이화영,Quang Cuong Le,Narshil Choi,Thai Son Dinh,Ngoc Hoat Luu 대한의학회 2019 Journal of Korean medical science Vol.34 No.5

Background: In order to provide essential scientific evidence on the population's health status and social health determinants as well as the current capacity of the health care system in Vietnam to health policy makers and managers, Vietnam Ministry of Health, Hanoi University of Public Health, Hanoi Medical University, and Ho Chi Minh University of Medicine and Pharmacy collaborated with Seoul National University (Korea) and conducted a health system survey in the Quoc Oai district (of Hanoi capital) that represented northern rural Vietnam. Methods: The study design was a cross-sectional study. The survey covered different topics (more than 200 questions) and was administered in three separate questionnaires: 1) Basic information of all household members; 2) Household characteristics; and 3) Individual characteristics. Socio-demographic characteristics among the households and individuals were collected from 2,400 households sampled by multi-stage cluster sampling method: more than 200 questions. Results: The household size of Quoc Oai was larger than the national average and there was no significant difference in gender composition. In addition, the proportions of pre-elderly, age 55–64, and elderly group (65 years old and over) were higher than the national population statistics. In this context, demographic transition has begun in Quoc Oai. Conclusion: This study design description provides the basic information about a baseline survey of a future prospective cohort (as a part of a collaborative project on strengthening the health system in Vietnam) to the prospective data user of this survey.

PSI-rooted subgraph: A novel feature for IoT botnet detection using classifier algorithms

Huy-Trung Nguyen,Quoc-Dung Ngo,Doan-Hieu Nguyen,Van-Hoang Le 한국통신학회 2020 ICT Express Vol.6 No.2

It is obvious that IoT devices are widely used more and more in many areas. However, due to limited resources (e.g., memory, CPU), the security mechanisms on many IoT devices such as IP-Camera, router are low. Therefore, botnets are an emerging threat to compromise IoT devices recently. To tackle this, a novel method for IoT botnets detection plays a crucial role. In this paper, we have some contributions for IoT botnet detection: first, we present a novel high-level PSI-rooted subgraph-based feature for the detection of IoT botnets; second, we generate a limited number of features that have precise behavioral descriptions, which require smaller space and reduce processing time; third, The evaluation results show the effectiveness and robustness of PSI-rooted subgraph-based features, as with five machine classifiers consisting of Random Forest, Decision Tree, Bagging, k-Nearest Neighbor, and Support Vector Machine, each classifier achieves more than 97% detection rate and low time-consuming. Moreover, compared to other work, our proposed method obtains better performance. Finally, we publicize all our materials on Github, which will benefit future research (e.g., IoT botnet detection approach).

Nano-porous Silicon Microcavity Sensors for Determination of Organic Fuel Mixtures

Van Hoi Pham,Huy Bui,Le Ha Hoang,Thuy Van Nguyen,The Anh Nguyen,Thanh Son Pham,Quang Minh Ngo 한국광학회 2013 Current Optics and Photonics Vol.17 No.5

We present the preparation and characteristics of liquid-phase sensors based on nano-porous silicon multilayer structures for determination of organic content in gasoline. The principle of the sensor is a determination of the cavity-resonant wavelength shift caused by refractive index change of the nano-porous silicon multilayer cavity due to the interaction with liquids. We use the transfer matrix method (TMM)for the design and prediction of characteristics of microcavity sensors based on nano-porous silicon multilayer structures. The preparation process of the nano-porous silicon microcavity is based on electrochemical etching of single-crystal silicon substrates, which can exactly control the porosity and thickness of the porous silicon layers. The basic characteristics of sensors obtained by experimental measurements of the different liquids with known refractive indices are in good agreement with simulation calculations. The reversibility of liquid-phase sensors is confirmed by fast complete evaporation of organic solvents using a low vacuum pump. The nano-porous silicon microcavity sensors can be used to determine different kinds of organic fuel mixtures such as bio-fuel (E5), A92 added ethanol and methanol of different concentrations up to 15%.

Comparative proteomic analysis of Celastrus hindsii Benth. phenotypes reveals an intraspecific variation

Nguyen, Van Huy,Pham, Thanh Loan,Ha, Thi Tam Tien,Hoang, Thi Le Thu The Korean Society of Plant Biotechnology 2020 JOURNAL OF PLANT BIOTECHNOLOGY Vol.47 No.4

In Vietnam, Celastrus hindsii Benth, a medicinal plant rich in secondary metabolites, has been used to alleviate distress caused by ulcers, tumors, and inflammation for generations. The occurrence of two phenotypes, Broad Leaf (BL) and Narrow Leaf (NL), has raised questions about the selection of appropriate varieties for conservation and crop improvement to enhance medicinal properties. This study examined molecular differences in C. hindsii by comparing protein profiles between the NL and BL types using 2D-PAGE and MS. Peptide sequences and proteins were identified by matching MS data against the MSPnr100 databases and verified using the MultiIdent tool on ExPASy and the Blast2GO software. Our results revealed notable variations in protein abundance between the NL and BL proteomes. Selected proteins were confidently identified from 12 protein spots, thereby highlighting the molecular variation between NL and BL proteomes. Upregulated proteins in BL were found to be associated with flavonoid and amino acid biosynthesis as well as nuclease metabolism, which probably attributed to the intraspecific variations. Several bioactive proteins identified in this study can have applications in cancer therapeutics. Therefore, the BL phenotype characterized by healthier external morphological features has higher levels of bioactive compounds and could be better suited for medicinal use.

Factors Affecting FDI Intentions of Investors: Empirical Evidence from Provincial-Level Data in Vietnam

Van Loi TA,Anh Duc DO,To Uyen PHAN,Quang Huy NGUYEN,Thi Thuy Hong NGUYEN,Thuy Duong LE,Thanh Phong NGUYEN 한국유통과학회 2021 The Journal of Asian Finance, Economics and Busine Vol.8 No.4

This study aimed to explore the factors affecting the foreign direct investment (FDI) intentions of investors into Quang Ninh province, located in the north-eastern of Viet Nam. Researchers used two main methods, namely, Exploratory Factors Analysis (EFA) and the Structural Equation Model (SEM) based on partial least squares structural equation modeling (PLS SEM) to explore and measure the impact of factors affecting the investors’ FDI intentions into Quang Ninh province. The empirical analysis used data from the survey of 206 domestic and foreign investors into Quang Ninh province, including representatives of the Board of Directors, members, and management representatives at the department level, with reliable tools (SPSS 26 and SmartPLS 3.0 software). The research results identified the following factors affecting investment into Quang Ninh: FDI attraction policies have the strongest impact on the investors’ FDI intentions; it is followed by infrastructure, public services and human capital with strong effects on intentions of investors’ FDI; and finally the standards of living that affects the investors’ FDI intentions. There is also a positive relationship between all the factors and the investors’ FDI intentions. Several recommendations are further suggested to enhance attraction of foreign direct investment into Quang Ninh province.

Effect of nanobubbles (oxygen, ozone) on the Pacific white shrimp (Penaeus vannamei), Vibrio parahaemolyticus and water quality under lab conditions

Nguyen Huu Nghia,Nguyen Thi Nguyen,Phan Trong Binh,Le Thi May,Tong Tran Huy,Pham Thai Giang,Sophie St-Hilaire,Phan Thi Van 한국수산과학회 2022 Fisheries and Aquatic Sciences Vol.25 No.8

This study assessed the effects of oxygen and ozone nanobubbles on gill morphology, weight gain, and mortality of Pacific white shrimp (Penaeus vannamei), as well as the level of Vibrio parahaemolyticus and water quality of shrimp culture tanks under lab conditions. Two experiments were carried out with oxygen macrobubble, ozone macrobubble, oxygen nanobubble, ozone nanobubble, and control treatments (air-stone macrobubble). Experiments were done in triplicate in 100 L tanks with 15‰ saline water, and 20 shrimp per tank. Tanks in Experiment 1 were not inoculated with bacteria; tanks in Experiment 2 were inoculated with V. parahaemolyticus at a concentration of 106 CFU/mL. The results revealed that short treatments with ozone nanobubbles had minimal impact on shrimp gills, mortality, and growth rates, reduced V. parahaemolyticus concentration in water compared to the other groups, and improve water quality. These laboratory results indicate that ozone nanobubble treatment may be useful for controlling V. parahaemolyticus. More work is needed to find the best protocol to apply the technology on a commercial scale.

Novel synthesis of highly ordered mesoporous Fe2O3/SiO2nanocomposites for a room temperature VOC sensor

Nguyen Van Quy,Tran Minh Hung,Trinh Quang Thong,Le Anh Tuan,Tran Quang Huy,Nguyen Duc Hoa 한국물리학회 2013 Current Applied Physics Vol.13 No.8

The controlled synthesis of mesoporous silica and metal oxide nanocomposites with a highly ordered porous structure and large specific surface area for specific applications has been an attractive topic in the field of porous materials. Herein, we introduce a novel method for the fabrication of highly ordered mesoporous structured and large specific surface area Fe2O3/SiO2 nanocomposites, and consider their application in room temperature gas sensors. The mesoporous Fe2O3/SiO2 nanocomposites were synthesised by a two-step method, which combines the hydrothermal growth of Fe2O3 nanoparticles and the microemulsion phase of Brij 56 (C16EO10) surfactant as templates in instantly direct-templating synthesis. This synthesis method enables the fabrication of mesoporous Fe2O3/SiO2 nanocomposites without distortion of the ordered porous structure after calcination at high temperature. The synthesised materials were found to be efficient in a room temperature VOC sensor application, with good recovery.