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Chemical Constituents of the Leaves of Glochidion obliquum and Their Bioactivity
Tran Dinh Thang,Ping-Chung Kuo,Chun-Shu Yu,Yuh-Chiang Shen,Le Thi Mai Hoa,Tran Van Thanh,Yao-Haur Kuo,Mei-Lin Yang,Tian-Shung Wu 대한약학회 2011 Archives of Pharmacal Research Vol.34 No.3
A new flavonoid glycoside, globlin A (1), and eleven known compounds were isolated from methanolic extracts of the leaves of Glochidion obliquum. The structure of this new compound was established with a combination of 2D NMR techniques (COSY, NOESY, HMQC and HMBC) and HR-ESI-MS analyses. Chemical structures of the other known compounds were identified by comparison of their spectroscopic and physical data with those reported in the literature. Some of the isolates were examined for their bioactivities. Among the tested compounds, rotundic acid (4) displayed significant cytotoxicity and anti-inflammatory activities.
Thang Phan,Ha Phan Ai Nguyen,Cao Khoa Dang,Minh Tri Phan,Vu Thanh Nguyen,Van Tuan Le,Binh Thang Tran,Chinh Van Dang,Tinh Huu Ho,Minh Tu Nguyen,Thang Van Dinh,Van Trong Phan,Binh Thai Dang,Huynh Ho Ngo The Korean Society for Preventive Medicine 2023 예방의학회지 Vol.56 No.4
Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions: The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.
Cuong Dinh Tran,Tam Thanh Dao,Ve Song Vo,Thang Trung Nguyen 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
Cuckoo Search Algorithm (CSA), a new meta-heuristic algorithm based on natural phenomenon of Cuckoo species and Lévy flights random walk has been widely and successfully applied to several optimization problems so far. In the paper two modified versions of CSA, where new solutions are generated using two distributions including Gaussian and Cauchy distributions in addition to imposing bound by best solutions mechanism are proposed for solving economic load dispatch (ELD) problem with multiple fuel options. The advantages of CSA with Gaussian distribution (CSA-Gauss) and CSA with Cauchy distribution (CSA-Cauchy) over CSA with Lévy distribution and other meta-heuristic are fewer parameters. The proposed CSA methods are tested on two systems with several load cases and obtained results are compared to other methods. The result comparisons have shown that the proposed methods are highly effective for solving ELD problem with multiple fuel options and/nor valve point effect.
An overview bioactive compounds on the skin of frogs (Anura)
Tran Thi Huyen,Phan Thi Hoang Anh,Nguyen Thi Anh Hong,Nguyen Ngoc Duyen,Le Pham Tan Quoc,Tran Dinh Thang 한국수산과학회 2023 Fisheries and Aquatic Sciences Vol.26 No.4
The robust development of frog farming offered high economic benefits but created a large waste residue of frog bones and skin that received little attention. Over the years, inedible by-products have often been processed into biomolecules of potential value and environmental benefits, such as collagen, gelatin, and bioactive peptides. An overview of bioactive compounds on frog skins from various countries indicated that brevinin was the most abundant biological peptide found in frog skin. Other remaining compounds also possessed their highlighted activities, including antibacterial, stimulating insulin release and gastric hormone release, anti-cancer, and neuroregulatory. Notably, various components have been analyzed in the structure and sequence to give meaningful insight into clustering components related to their biological activity. This review may create a source of raw materials for the developmental research of by-products from frog skin and concomitantly reduce environmental pollution.
One Rank Cuckoo Search Algorithm for Bi-Objective Load Dispatch Problem
Cuong Dinh Tran,Thang Trung Nguyen,Hanh Minh Hoang,Bao Quoc Nguyen 보안공학연구지원센터 2016 International Journal of Grid and Distributed Comp Vol.9 No.4
This paper presents the application of a One Rank Cuckoo Search Algorithm (ORCSA) to bi-objective load dispatch (BOLD) problem where two objectives including fuel and emission are taken into consideration. ORCSA is an improvement of basic Cuckoo search algorithm (BCSA) where several modifications are carried out so as to improve the performance of the BCSA. The performance of the proposed ORCSA is validated by using two systems including a three-unit system with one load case and a six-unit system with three load cases and comparing the obtained results with other methods available in the article. The analysis on the result comparison indicates that the ORCSA is very efficient for the problem.
On the properties of positive Boolean dependencies by groups in the database model of block form
Trinh Ngoc Truc,Trinh Dinh Thang,Tran Minh Tuyen 한국전산응용수학회 2022 Journal of applied mathematics & informatics Vol.40 No.3
The article proposed a new type of data relationship: Positive Boolean dependencies by groups on block and slice in the database model of block form, where instead of considering value pairs, we consider a group of p values ({p \geq 2}). From this new concept, the article stated and demonstrated the equivalence of the three types of deduction, namely: deduction by logic, deduction by block with groups, deduction by block has no more than p elements with groups. Operations on blocks or slices performed for index attributes on blocks, the properties related to this new concept as theorem the equivalen of the three types of deduction, closure of set positive Boolean dependencies by groups and representation and tight representation set of positive Boolean dependencies by groups when the block degenerated into relation are true in the relational database model and also stated and proven in this paper.
Tien Manh Huynh,Quang Dinh Le,Mai Ngoc Luu,Tram Thi Huyen Nguyen,Quy Nhuan Bui,Anh Phan Tuong Mai,Thang Hiep Duc Tran,Hien Minh Tran,Cong Hong Minh Vo,Duc Trong Quach 소화기인터벤션의학회 2022 Gastrointestinal Intervention Vol.11 No.3
Jejunal Dieulafoy lesion (DL) is an exceedingly rare, life-threatening cause of gastrointestinal bleeding. Due to its rarity, intermittent bleeding symptoms that often necessitate prompt clinical intervention, variability in detection and treatment methods, and the risk of rebleeding, this condition frequently presents a diagnostic and therapeutic conundrum. We report a case of severe, intermittent, recurrent hematochezia due to a jejunal DL that was difficult to localize. In this case, the metallic coils used as a radiopaque marker allowed surgeons to accurately identify the bleeding site during intraoperative enteroscopy and successfully manage the lesion with minimally invasive laparoscopic surgery.
Minh Tu Nguyen,Binh Thang Tran,Thanh Gia Nguyen,Minh Tri Phan,Thi Thu Tham Luong,Dinh Duong Le 한국보건의료인국가시험원 2022 보건의료교육평가 Vol.19 No.-
Purpose The current study aimed to use network analysis to investigate medical and health students’ readiness for online learning during the coronavirus disease 2019 (COVID-19) pandemic at the University of Medicine and Pharmacy, Hue University. Methods A questionnaire survey on the students’ readiness for online learning was performed using a Google Form from May 13 to June 22, 2021. In total, 1,377 completed responses were eligible for analysis out of 1,411 participants. The network structure was estimated for readiness scales with 6 factors: computer skills, internet skills, online communication, motivation, self-control, and self-learning. Data were fitted using a Gaussian graphical model with the extended Bayesian information criterion. Results In 1,377 students, a network structure was identified with 6 nodes and no isolated nodes. The top 3 partial correlations were similar in networks for the overall sample and subgroups of gender and grade levels. The self-control node was the strongest for the connection to others, with the highest nodal strength. The change of nodal strength was greatest in online communication for both gender and grade levels. The correlation stability coefficient for nodal strength was achieved for all networks. Conclusion These findings indicated that self-control was the most important factor in students’ readiness network structures for online learning. Therefore, self-control needs to be encouraged during online learning to improve the effectiveness of achieving online learning outcomes for students.
Synthesis of Novel Triazolo Cyclobutane Nucleoside Analogs
Thi Thu Thuy Tran,Ngoc Thang Ngo,Thi Ha Dinh,Giang Vo‐Thanh,Stéphanie Legoupy 대한화학회 2015 Bulletin of the Korean Chemical Society Vol.36 No.5
Synthesis of triazolo-cyclobutane nucleosides analogs is reported. These molecules have been obtained by a short and efficient sequence involving a click azide-alkyne cycloaddition following by cis-hydroxylation in the key step.
Ly Huu Pham,Thang Trung Nguyen,Dieu Ngoc Vo,Cuong Dinh Tran 보안공학연구지원센터 2016 International Journal of Hybrid Information Techno Vol.9 No.1
This paper presents an Adaptive Cuckoo Search Algorithm (ACSA) for solving economic load dispatch problem where thermal units with multiple fuel options and valve point loading effect are taken into account. ACSA is first developed by improving the optimal solution search ability of conventional Cuckoo search algorithm. In ACSA, the initial eggs are evaluated and classified into two groups including good group and bad group. The updated step size in ACSA at the first new solution generation via Lévy is adaptive at each iteration and therefore the selection of the parameter is not an issue in the paper. The proposed ACSA method is tested on a ten-unit system considering multiple fuel options and valve point loading effect with different load cases. The comparisons of obtained results among the proposed method with others reported in the paper have indicated that ACSA is efficient for applying to the problem.