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Vo Minh Hoang Do,Long Giang Bach,Diem-Huong Nguyen Tran,Van Du Cao,Thi Nhu Quynh Nguyen,Duc Thuan Hoang,Van Cuong Ngo,Dai Hai Nguyen,Thai Thanh Hoang Thi 한국생물공학회 2020 Biotechnology and Bioprocess Engineering Vol.25 No.2
Polyamidoamine (PAMAM) dendrimer is emerging as an effective nanocarrier for delivering anticancer drugs. Still, unmodified PAMAM dendrimer is hardly used in vivo because of unsatisfied drug release, high tendency of interfering with cellular membranes, and rapid clearance by reticuloendothelial system. In this study, low generation polyamidoamine (PAMAM) dendrimer G3.0 is developed and surface modified with methoxypolyethylene glycol (PAMAM G3.0-mPEG) to overcome its limitations. Specifically, PAMAM G3.0 conjugated with mPEG at different ratios are investigated to effectively eliminate its charge-associated toxicity, in which PAMAM G3.0-mPEG- 8 is chosen for oxaliplatin (OX) loading. Results reveal that OX-loaded PAMAM G3.0-mPEG-8 has desirable size, good entrapment efficiency, and sustained release with minimum drug leakage. In addition, Resazurin assay indicates that the toxicity of loaded OX is reduced as compared to free drug but still maintain substantially anticancer activity on HeLa cells, suggesting the potential application of PAMAM G3.0-mPEG-8 for OX delivery in cancer therapy.
Vo Hoang Nhat, P.,Ngo, H.H.,Guo, W.S.,Chang, S.W.,Nguyen, D.D.,Nguyen, P.D.,Bui, X.T.,Zhang, X.B.,Guo, J.B. Elsevier 2018 Bioresource Technology Vol.256 No.-
<P><B>Abstract</B></P> <P>Algae is a well-known organism that its characteristic is prominent for biofuel production and wastewater remediation. This critical review aims to present the applicability of algae with in-depth discussion regarding three key aspects: (i) characterization of algae for its applications; (ii) the technical approaches and their strengths and drawbacks; and (iii) future perspectives of algae-based technologies. The process optimization and combinations with other chemical and biological processes have generated efficiency, in which bio-oil yield is up to 41.1%. Through life cycle assessment, algae bio-energy achieves high energy return than fossil fuel. Thus, the algae-based technologies can reasonably be considered as green approaches. Although selling price of algae bio-oil is still high (about $2 L<SUP>−1</SUP>) compared to fossil fuel’s price of $1 L<SUP>−1</SUP>, it is expected that the algae bio-oil’s price will become acceptable in the next coming decades and potentially dominate 75% of the market.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Microalgae has more lipid content while macroalgae is rich of carbohydrate. </LI> <LI> Algae is efficient in nutrients removal. </LI> <LI> Combined processes, optimization and algae strains screening are important. </LI> <LI> Revenues in algae-based biofuel production and wastewater remediation are limited. </LI> <LI> Policy and social support for commercialization are lacking. </LI> </UL> </P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Nguyen An Huynh Bao,Nguyen Ngoc Thi Tieu,Vo Nghia Quang,Nguyen Dung Hoang 대한수면학회 2024 sleep medicine research Vol.15 No.1
Background and Objective Sleep disturbances among medical students, including insufficient sleep duration and poor sleep quality, are prevalent issues with potential repercussions on mental health.Methods The study evaluated the Vietnamese version of the Pittsburgh Sleep Quality Index (PSQI) to assess sleep quality and investigated the correlation between the results of the PSQI and Beck Depression Inventory-II (BDI-II) scales in health sciences students.Results We conducted this cross-sectional study at the School of Medicine, Vietnam National University Ho Chi Minh City, involving 906 medical, pharmaceutical, and dental students. Data were collected through a self-reporting questionnaire.Conclusions The Vietnamese version of the PSQI scale demonstrates acceptable reliability. Furthermore, positive correlations were observed between the total PSQI score and components of the BDI-II. A recommended cut-off point above 5 is proposed for identifying sleep disturbances among health sciences students using the Vietnamese PSQI. Conclusions The study affirms the reliability of the Vietnamese PSQI scale, suggesting its suitability for screening sleep disturbances among health sciences students in Vietnam. PSQI component scores significantly correlated with total BDI-II score.
Ngoc Nhon Hoang,Tri Khoi Nguyen,Tuyet Hoa Vo,Ngoc Hoi Nguyen,Dai Hai Nguyen,Dieu Linh Tran 한국고분자학회 2022 Macromolecular Research Vol.30 No.2
Fucoidan, a natural sulfated polysaccharide extracted from seaweed, has been widely used in pharmaceutical field due to its excellent biological activities including antiviral, anticancer, antioxidant, anticoagulant, etc. Therefore, investigating the new natural sources of fucoidan has been received growing attention recently. This study reported for the first time the isolation, purification, characterization, and biological activities of fucoidan from Ceratophyllum submersum (FCS). The molecular weight of obtained FCS was 9.7 kDa, composed of fucose (42.11%) and sulfate (16.38%). The FCS contained (1→3)-α-L-Fucopyranose and β-D-galactose bond in the structure. In addition, FCS showed strong antioxidant properties against 2,2-diphenyl-1-picrylhydrazyl, 2,2-azinobis (3-ethylbenzothiazoline-6-sulfonic acid), and reactive oxygen species radicals with inhibitory concentration 50 values were 765.48 ppm, 845.31 ppm, and 1760.00 ppm, respectively. The FCS also performed good antibacterial, antifungal, anticoagulant and anti-inflammatory activityies. Especially, it expressed a better inhibition activity on breast cancer cell line (MCF-7) than that on liver cancer cells (HepG2), lung cancer cells (NCI-H460), and cervical cancer cells (HeLa). FCS demonstrated potential utility in functional food, cosmeceutical, and pharmaceutical industries. In the trend of discovering new sources for fucoidan with outstanding bioactivities, this report would contribute a basic platform and valuable information for further studies on fucoidan from C. Submersum.
Genetic diversity of spotted scat (Scatophagus argus) in Vietnam based on COI genes
Huy Van Nguyen,Minh Tu Nguyen,Nghia Duc Vo,Nguyen Thi Thao Phan,Quang Tan Hoang 한국수산과학회 2022 Fisheries and Aquatic Sciences Vol.25 No.12
A spotted scat, Scatophagus argus, has a high nutritional value and is among Asia’s most widely consumed fish species. Thua Thien Hue’s consumption market considers this species to be of high economic value and requires protection and conservation of the population. However, the studies on the identification and genetic diversity of S. argus distributed in Vietnam are still lacking. Therefore, mitochondrial cytochrome c oxidase subunit I (COI) gene was utilized to distinguish different populations and investigate the genetic diversity of two populations of S. argus from Tam Giang lagoon, Thua Thien Hue province (n = 31) and Ca Mau province (n = 14). The sequencing results indicated 13 distinct haplotypes among 45 sequences. Five single nucleotide polymorphisms were observed to distinguish Hue spotted scat population. The S. argus population in Ca Mau province was higher haplotype diversity (Hd) and nucleotide diversity (π) than those of Thua Thien Hue province, which demonstrates that there are minor differences between haplotypes. There were genetic distances ranging from 0%–4% within the populations and 6.67% between the two populations. In addition to the sequencing, the comparison of morphology, biology, culture, and the growth rate was sufficient to distinguish the spotted scat S. argus in Thua Thien Hue from Ca Mau.
Han Thi Vo,Tien Duc Dao,Tuyen Van Duong,Tan Thanh Nguyen,Binh Nhu Do,Tinh Xuan Do,Khue Minh Pham,Vinh Hai Vu,Linh Van Pham,Lien Thi Hong Nguyen,Lan Thi Huong Le,Hoang Cong Nguyen,Nga Hoang Dang,Trung 질병관리청 2024 Osong Public Health and Research Persptectives Vol.15 No.1
Objectives: The incidence of posttraumatic stress disorder (PTSD) has increased, particularly among individuals who have recovered from coronavirus disease 2019 (COVID-19) infection. Health literacy is considered a “social vaccine” that helps people respond effectively to the pandemic. We aimed to investigate the association between long COVID-19 and PTSD, and to examine the modifying role of health literacy in this association.Methods: A cross-sectional study was conducted at 18 hospitals and health centers in Vietnam from December 2021 to October 2022. We recruited 4,463 individuals who had recovered from COVID-19 infection for at least 4 weeks. Participants provided information about their sociodemographics, clinical parameters, health-related behaviors, health literacy (using the 12-item short-form health literacy scale), long COVID-19 symptoms and PTSD (Impact Event Scale-Revised score of 33 or higher). Logistic regression models were used to examine associations and interactions.Results: Out of the study sample, 55.9% had long COVID-19 symptoms, and 49.6% had PTSD. Individuals with long COVID-19 symptoms had a higher likelihood of PTSD (odds ratio [OR], 1.68; 95% confidence interval [CI], 1.63–2.12; p<0.001). Higher health literacy was associated with a lower likelihood of PTSD (OR, 0.98; 95% CI, 0.97–0.99; p=0.001). Compared to those with long COVID-19 symptoms and the lowest health literacy score, those with long COVID-19 symptoms and a 1-point health literacy increment had a 3% lower likelihood of PTSD (OR, 0.97; 95% CI, 0.96–0.99; p=0.001).Conclusion: Health literacy was found to be a protective factor against PTSD and modified the negative impact of long COVID-19 symptoms on PTSD.
Vo Hoang Trong,Yu Gwang-hyun,Dang Thanh Vu,Lee Ju-hwan,Nguyen Huy Toan,Kim Jin-young 한국스마트미디어학회 2020 스마트미디어저널 Vol.9 No.4
In the image object classification problem, low-resolution images may have a negative impact on the classification result, especially when the classification method, such as a convolutional neural network (CNN) model, is trained on a high-resolution (HR) image dataset. In this paper, we analyze the behavior of applying a classical super-resolution (SR) method such as bicubic interpolation, and a deep CNN model such as SRCNN to enhance low-resolution (LR) weeds images used for classification. Using an HR dataset, we first train a CNN model for weeds image classification with a default input size of 128×128. Then, given an LR weeds image, we rescale to default input size by applying the bicubic interpolation or the SRCNN model. We analyze these two approaches on the Chonnam National University (CNU) weeds dataset and find that SRCNN is suitable for the image size is smaller than 80×80, while bicubic interpolation is convenient for a larger image.