Thu Dau Mot University Journal of Science


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8 papers


Primates play a huge role in biomedical research. They are raised for medical research and to test new vaccines before being used for humans. The yellow-cheeked gibbon (Nomascus gabriellae) is an endemic mammal of Vietnam, included in the Vietnam Red Book 2007, and described in the IUCN Red Book 2009. This species is an endangered species found only in a small region of Indochina, and its populations have declined in most known sites. The purpose of this article is to present an overview research on taxonomy, identification, reproduction, behavior, ecology, distribution, population, and conservation status of this species. The overall results are intended to support the conservation of this rare endemic animal species and provide reference in related biomedical research.
This article presents the history of Caritas Phu Cuong as a charity and social organization that plays an important role in helping the poor and disabled people of Binh Dương province. In addition, the article will also analyze the role and contributions of Caritas Phu Cuong in the field of charity for Binh Duong province in the following aspects: medical examination and medicine distribution for the poor people; life protection program; taking care of lonely elderly people; support people with disabilities to integrate into the community; build a library of books and toys for children; organize compassion classes for children of workers in difficult circumstances; bright path scholarship (Slovakia); environmental protection and human trafficking prevention programs. Finally, the article will discuss the role, functions and scope of activities of Caritas Phu Cuong in different historical periods to adapt to the changes in the socio-political context of Vietnam.
The article presents the disease pattern of inpatients at Pham Ngoc Thach Traditional Medicine Hospital in Lam Dong from 2021 to 2023. The study was conducted using a cross-sectional, retrospective descriptive method, utilizing data from the hospital's medical records system and statistical reports from 2021 stored in the hospital's archives. Information was collected from patient records following predefined selection criteria, encompassing all adequately documented cases during the inpatient treatment period from January 1st, 2021 to August 31st, 2023. The research findings revealed that the group of diseases related to musculoskeletal and connective tissue accounted for the highest proportion at 57.79%, followed by circulatory diseases at 24.18%, and nervous system diseases at 7.75%. Other groups of diseases such as digestive, trauma, and respiratory systems also appeared, albeit with lower proportions. Particularly, rare disease groups like ear and mastoid bone diseases, and skin and subcutaneous tissue diseases were noted. These results provide a comprehensive overview of the disease distribution, supporting decision-making and the development of effective treatment strategies for inpatients in the upcoming period.

A DFT study of the adsorption of F atoms on germanene nanoribbons

Vo Van On, Nguyen Duy Khanh, Nguyen Thanh Tung, Hoang Van Ngoc and Huynh Thi Phuong Thuy
In the paper, we investigate the structure and electronic properties of the pristine germanene nanoribbon and four adsorption configurations of 1F and 2F on the substrate of germanene nanoribbon. We obtained the parameters of the most stable structures of pristine germanene nanoribbon and four adsorption configurations. The band structure and the density of state and the part density of state for each element were also obtained. Findings show the adsorption configuration of 1F-GeNR.bridge has no band structure, while other configurations are semimetals with band gap from 0.175eV to 0.67eV; both four adsorption configurations are chemisorption and non-magnetic. The charge distribution of all configurations also was investigated; it showed that there is a charge shift from Ge atoms towards F atoms due to their electronegativity difference.
High power losses are a great concern in operating electric distribution system. Reconfiguration is one of the most economic approaches for reducing power losses of the system. This study suggests a technique for dealing with the distribution system reconfiguration problem based on a water cycle algorithm for minimizing active power loss. The water cycle algorithm is a recently developed metaheuristic algorithm that inspired the process of water circulation for solving optimization problems. The effectiveness and performance of the water cycle algorithm were tested on the 33-node and 69-node systems. The water cycle algorithm was applied to determine the best configuration of the distribution system for active power loss minimization. The results yielded by the water cycle algorithm were compared with other optimization algorithms in the literature and the comparisons showed that the water cycle algorithm obtained good quality of solution for the problem. Therefore, the water cycle algorithm is the potential method for the distribution system reconfiguration problem.
The study is conducted to assess the level of noise pollution from traffic activities in urban areas (in the case of Thuan An city, Binh Duong province) with the specific goal of applying geographic information systems. (GIS) in building noise pollution distribution maps in the study area. The research team collected noise data at peak hours and normal hours on weekdays and weekends using noise meters at 61 survey points. Noise measurement data was then interpolated using IDW (Inverse Distance Weighting) method to assess the spatial distribution of noise in Thuan An city. In addition, the study digitizes traffic routes and special areas (hospitals, schools, churches - pagodas) in the study area to identify areas affected by sound noisy. The results show that the areas near the main road are most affected by noise during rush hour, while areas in the small lane are noise level within the permitted range. In addition, the results also show the difference in noise level and noise time between weekdays and weekends
As the most significant pollinators of wild plants, bees play an important role in sustaining the natural ecosystems. In this study, we conducted surveys of bee fauna of three different habitat types during dry and rainy seasons of 2020 in Binh Chanh District, Ho Chi Minh City. A total of 169 individuals from 13 bee species belonging to six genera were collected. Of these, eight species are newly recorded from Ho Chi Minh City: Amegilla calceifera, A. himalajensis, A. zonata, Ceratina nigrolateralis, C. smaragdula, Xylocopa aestuan, X. latipes, Tetragonula fuscobalteata. The species composition of bees was more diverse in forest habitat than rural garden and canalbank habitats. The richness and abundance of bees were significantly higher in the dry season than the rainy season. Apis florea was abundant in forest and rural garden habitats while Ceratina smaragdula occurred plentifully in the canalbank habitat. Eight bee species (Apis cerana, A. dorsata, A. florea, Thyreus himalayensis, Xylocopa latipes, X. aestuans, Ceratina smaragdula, and C. nigrolateralis) widely distributed throughout all three habitats. By contrast, four bee species (Amegilla calceifera, A. himalajensis, Apis mellifera, and Tetragonula fuscobalteata) exclusively appeared in the forest habitat.
Most of the indoor accidents are related with fall down. Many medical studies are point out that key factor for keeping patient’s life is fast response of monitoring system. In modern life, peoples are isolated with neighbor, especially in living quarters. Therefore many solutions are developed for falling down monitoring that base on wearable sensors. These methods require of an expensive sensors system with electric power supplier and telecommunication devices. In context of patients with disease and weak status, patients are trend to remove sensor system. This issue requires to find out another approach so that sensors system will not be needed. We study the fall detection by monitoring camera. For increase the accuracy, we proposed a simple and effective method to extract features of abnormal activities. By tracking the magnitude of entropy and its distribution, our fall detection model has a capability of differentiating falls from other activities

Publication Information

Publisher

Thu Dau Mot University, Viet Nam

Honorary Editor-in-Chief and Chairman of the Editorial Board

Assoc. Prof. Nguyen Van Hiep

Deputy Editor-in-Chief

PhD. Trần Hạnh Minh Phương
Thu Dau Mot University

Editorial Board

Prof. Tran Van Doan
Fujen University, Taiwan
Prof. Zafar Uddin Ahmed
Vietnam National University Ho Chi Minh City

Prof.Dr. Phillip G.Cerny
The University of Manchester, United Kingdom
Prof. Ngo Van Le
University of Social Sciences and Humanities (VNU-HCM)

Prof. Bui The Cuong
Southern Institute of Social Sciences​​​​​​​
Prof. Le Quang Tri
Can Tho University

Assoc. Prof. Nguyen Van Duc
Animal Husbandry Association of Vietnam
Assoc. Prof. Ted Yuchung Liu
National Pingtung University, Taiwan

PhD. Anita Doraisami
Economics Monash University, Australia
Prof. Dr. Andrew Seddon
Asia Pacific University of Technology & innovation (APU)

Assoc. Prof. Le Tuan Anh
Thu Dau Mot University
Prof. Abtar Darshan Singh
Asia Pacific University, Malaysia

Prof.Dr. Ron W.Edwards
The University of Melbourne, Australia
Assoc. Prof. Hoang Xuan Nien
Thu Dau Mot University

PhD. Nguyen Duc Nghia
Vietnam National University Ho Chi Minh City
PhD. Bao Dat
Monash University (Australia)

PhD. Raqib Chowdhury
Monash University (Australia)
PhD. Nguyen Hoang Tuan
Thu Dau Mot University

PhD. Nguyen Thi Lien Thuong
Thu Dau Mot University

Assistant

Nguyen Thi Man
Thu Dau Mot University