Published: 29-10-2022

Analysis of affecting factors on the stability of riverbanks: A case study in Cha Va river, Vinh Long province

Tran Van Ty, Pham Hong Tien, Lam Van Thinh, Huynh Thi Cam Hong, Cu Ngoc Thang, Dinh Van Duy, Nguyen Thai An, Luu Quoc Anh, Nguyen Thanh Liem
Abstract | PDF (Tiếng Việt)
This study aimed to analyze the effect of hydrogeological conditions and surcharge loads on the stability of Cha Va’s river banks in Vinh Long province. Satellite images were loaded from Google Earth and used to analyze the current erosion of the river banks and the urbanization process along the river banks. Primary and secondary data such as topographic, geological, hydrological data, and waves induced by ship motions were collected and analyzed. The factor of safety was used to analyze the levels of stability of the river banks. Input data was employed from the primary and secondary data such as geology, water levels, wave load, and surcharge loads due to urbanization. Measured flow velocity was compared with the allowed non-erosion velocity of the bed-sediment to examine the potential erosion caused by flow velocity. The results show that erosion and deposition have been happening along the studied river banks. Flow velocity is one of the reasons causing river bank erosion. The integrated effects of soft soil, water level fluctuation, wave load, and surcharge loads is found to be the cause of instability of the Cha Va's riverbank.

A a study on computer vision algorithm for monitoring the implementation of regulations on the prevention Covid-19 using deep learning

Nguyen Duc Thien, Lu Tat Thang, Nguyen Van Thang, Truong Quoc Bao
Abstract | PDF (Tiếng Việt)
This study is aimed to detect and to check compliance with regulations on wearing face masks and keeping social distance in crowded places. Deep learning in object detection through image input was used. The YOLO model, which is state-of-the-art algorithm is used to build a model to detect the correct or incorrect wearing of masks. In addition, using this approach can detect people, check keeping social distance by using the Euclidean algorithm to calculate distance between bounding box around persons who were detected in the image, combined with the Bird's-eye view transformation algorithm. The test uses a dataset consisting of 40 images, with two people classified by actual standing distance from each other: greater than or equal to 2 m and less than 2 m. At the same time, each person in the image with a different mask-wearing state is actually classified into three classes: wearing correct or in correct mask and without wearing mask. The testing results reached 90% for the group with the standing distance less or greater than 2 m. The mask-wearing identification test had the following results: 86.67% for the object is wearing correct mask, 76.67% for without wearing mask and 65% for wearing wrong mask.

The control model of a three-phase induction motor using the fuzzy proportional derivative plus integral controller

Nguyen Quoc Nghia, Lam Quoc Han, Nguyen Chi Ngon
Abstract | PDF (Tiếng Việt)
This paper has provided the control model of the three-phase induction motor using the fuzzy proportional derivative plus integral controller. The three-phase asynchronous motor is simulated on MATLAB®/Simulink based on the equation of state on the rotor flux coordinate system (dq coordinate system). Simulation with different loads and disturbances effecting on the system as well as comparison with PI and investigation of the influence of the fuzzy proportional derivative plus integral controller. Simulation results showed that the proposed solution is better suited to the controller than PI controller, set time of reasonable system, destructively overshoot and low output error. In addition, the controller is stable with interference from the system.

Anomaly detection: Future Frame Prediction combining sota optical-flow model and error function modification based on FenceGAN

Vo Trung Hieu, Nguyen D. Vo, Khang M. T. T. Nguyen
Abstract | PDF (Tiếng Việt)
Anomaly detection is a problem that has received much attention in recent years with many high-precision methods born. Future Frame Prediction is a novel approach to video anomaly detection. This method has the main idea of ​​using videos containing only normal frames to train the model. In the test phase, the model can take as input a video containing an anomaly frame, the anomaly detection is based on the difference between the frame reconstructed from the normal data and the actual frame containing any abnormality, usually in test video. In this paper, the model was improved by changing the optical-flow estimator in the Future Frame Prediction model and modify the error function of this model based on the FenceGAN work to increase the anomaly detection performance. The results after fine-tuning showed that the model improves on average 0.5% accuracy on standard datasets such as UCSD Ped1, UCSD Ped2, Avenue.

Analysis of factors affecting the change of agricultural land use in Phong Dien district, Can Tho city

Phan Chi Nguyen, Tran Van Hung, Pham Thanh Vu, Phan Hoang Vu
Abstract | PDF (Tiếng Việt)
This article aimed to understand factors affecting the change of agricultural land use in Phong Dien district as a basis for proposing solutions to improve the efficiency of agricultural land use. The data on land use in the period 2016 - 2021 were collected to assess land use change. In addition, two participatory rural appraisal surveys were also conducted to determine factors affecting agricltural land use change. Then, the consultation of 21 experts were conducted to determine the impact level of the factors by the multi-criteria evaluation method. The results showed that the agricultural cultivation process of the district was greatly affected by factors such as consumer markets, product selling prices, input costs, and weather conditions. Thereby, structural and non-structural solutions have been proposed which focus on implementing solutions on production linkage, managing of agricultural materials and developing post-harvest processing and storage.

Building clusters for image data from the extracted two-dimensional interval

Vo Van Tai, Le Thi Kim Cuong, Chau Ngoc Tho
Abstract | PDF (Tiếng Việt)
Image recognition plays a very important role in the current digital revolution because it is the foundation of many practical applications. This research proposes the image recognition problem by two-dimensional interval extracted from the texture feature. Based on the overlap distance and the extracted interval feature, a fuzzy clustering algorithm for the image is proposed. This algorithm can determine the appropriate number of clusters for the image set, the particular images in each cluster, and the probability of belonging to the clusters of each image. The proposed algorithm is detailed step-by-step in theory, and illustrated by the numerical example. Applying on a specific image set, the proposed algorithm gives the best result in comparison with others. This research can be deployed to many practical problems related to image recognition.

Classify images based on the extracted interval features from the gray level co-occurrence matrix

Vo Van Tai, Nguyen Thi Hoa Tien, Dang Thi Phuong Trang, Tran Nam Hung
Abstract | PDF (Tiếng Việt)
This study proposes an image classification method based on the extracted interval features from the gray level co-occurrence matrix with s improvements. Firstly, each image was represented by a two-dimensional interval whose values were established from the texture feature of  image. Then, the  priori probability for the image was found based on the fuzzy cluster analysis problem for interval data. Next, the classified image was measured for its proximity to the groups based on the overlapping distance of the representative intervals. Finally, based on the above improvements, a new classification principle was proposed. The proposed method was detailed and illustrated by the specific set of images. It was also applied in face recognition, a problem that had many applications and challenges today. This application showed that the proposed method had completely correct classification for the training set while other popular methods had the error rate from 20% to 40%.

Research to create mouse embryo knockout gene lep using CRISPR/Cas9

Au Duong Tuyet Mai, Nguyen Le Tram Anh, Nguyen Thi Thanh Giang, Huynh Chi Thien, Pham Minh Chien, Huynh Nguyen Loan Anh, Nguyen Dang Quan
Abstract | PDF (Tiếng Việt)
CRISPR/Cas 9 technology is has been increasingly used in gene editing technology. In this study, mouse embryo knockout Lep gene was generated by microinjecting a plasmid with the CRISPR/Cas9 construct directed at exon 3 of the gene site. The study used bioinformatics software to design 2 gRNAs, and cloned plasmids px330-gRNA-R and px330-gRNA-L capable of guiding the CRISPR/Cas9 system to direct removal of exon 3 with a length of 420bp, at positions 29070816 – 29071236 on the Lep gene. Mouse embryos were generated by intracytoplasmic sperm injection (ICSI). After 6 h of ICSI, mouse embryos, zygote in two progenitor stages, were knockout gene by microinjection px330-gRNA-R and px330-gRNA-L plasmids at a concentration of 5 ng/µl into the male pronucleus. The PCR test showed that 36/72 (50%) the embryos were injected with plasmid removed the Lep genes. Thus, the study has successfully created mouse embryo knockout Lep gene in heterozygous zygote form.

Optimization of ingredient, baking temperature and effects of packaging on Pouteria lucuma formulated cookies

Tran Thi Minh Thu, Vo Thanh Thuy, Huynh Thi Kim Chi, Vi Nha Tran, Nguyen Thi Nhu Y, Tran Nguyen Phuong Lan
Abstract | PDF (Tiếng Việt)
Research on the optimization of ingredient percentages and baking temperature of Pouteria lucuma formulated cookies was conducted using the response surface method (RSM) for products with the best texture and color. The central composite design (CCD) was applied to examine the effects of ingredient percentages including lucuma flesh (25 – 35%), egg yolk (14 – 18%), baking powder (1,0 – 1,2% based on wheat flour weight), and baking temperature (140 – 160oC) on product quality. The effects of 4 packaging materials namely polyamide (PA), polyethylene (PE), polypropylene (PP), and oriented polyproplene (OPP) on the total microbial count, texture, moisture content, color and sensory of cookies during the storage times of 3, 5 and 7 weeks were analyzed. The results showed that optimized recipe were 27,2 – 29,0% lucuma, 15,3 – 16,7% egg yolk, 1,05 – 1,15% baking powder and baking temperature 148,7 – 150oC which gave the best texture and color of the product. The lucuma added cookies storag in PA, PP, and OPP packaging remained the best quality, while PE showed the lowest products quality in 7 weeks of storage at room temperature.

Effects of the elicitor of salicylic acid on growth and accumulation of secondary metabolites in Plectranthus amboinicus (Lour) in vitro

Le Hong Giang
Abstract | PDF (Tiếng Việt)
Plectranthus amboinicus (Lour.) Spreng., a perennial herb, has antibacterial, anti-inflammatory, and anti-tumor effects which has been used to treat diseases such as respiratory, cardiovascular, and digestive. The study aimed to determine the effective treatment of salicylic acid (SA) to improve the accumulation of in vitro secondary metabolites in this plant. The concentrations of SA at 0, 50, 100, 150 and 200 µM were supplemented into Murashige & Skoog (1962) medium for culturing. The growth and total contents of flavonoids and phenolics in shoot samples were evaluated. The results showed that SA at 50 µM had almost no effect on the shoot growth including leaf number, root formation rate, fresh weight and chlorophyll index. However, it helped to significantly enhance the contents of these two substrates. The total flavonoid content achieved 7.08 mg QE/g dry weight and phenolics reached 2.30 mg GAE/g with the increasing of 1.14 and 1.73-fold compared to the control, respectively. Therefore, exposure to 50 µM SA could help to improve the production of in vitro secondary metabolites in this valuable medicinal plant.

Evaluation on the efficacy of potassium solubilizing bacteria on growth, yield of spinach (Spinacia oleracea L.) and some soil properties under the greenhouse conditions

Nguyen Khoi Nghia, Vo Duyen Thao Vy, Le Thi Xa
Abstract | PDF (Tiếng Việt)
This study aimed to evaluate the efficacy of two potassium solubilizing bacteria (PSB) on the growth and yield of spinach (Spinacia oleracea L.) as well as some soil properties under greenhouse conditions. Spinach seeds were soaked in a bacterial solution with a density of 108 cfu/mL for 24 h and grown for 45 days under the soil applied 1 ton of rice straw/ha and 50% of the recommended potassium fertilizer. The results showed that the inoculation of PSB strains helped to increase the growth and yield of spinach by 45.3-80.0%, also increased the total K content in spinach biomass as well as exchangeable K content in the soil, and simultaneously reduced up to 50% of the amount of inorganic potassium fertilizer. Thus, the two PSB strains, Burkholderia vietnamiensis L1.1 and Staphylococcus hominis T7.3, had a great potential to develop as microbial fertilizers to increase the growth and yield of crops, reduce chemical fertilizers, and implement friendly and sustainable agricultural production.

Determine the presence of parasitic and bacterial pathogens in the Thai frog (Rana sp.) with hydrocoelom

Nguyen Thi Thu Hang, Le Thanh Sieng, Dang Thi Hoang Oanh
Abstract | PDF (Tiếng Việt)
The study was conducted to figure out parasitic and bacterial pathogens infected frog (Rana sp.) with hydrocoelom. Results on 110 frog samples collected in Dong Thap province from April 2021 to January 2022 showed that frogs were often infected by 9 Cilliophora species such as Balantidium coli, B. elongatum, B. entozoon, B. honghuensis, Cepedea longa, C. magna, Opalina natalensis, O. ranarum, and Zelleriella binucleata. The bacterial identification results identified 77 bacterial isolates, which were 2 species including Aeromonas hydrophila and Pseudomonas putida. P. putida had the highest infection rate (74%). Histological results showed that liver tissue had signs of cellulitis, damaged structures, pancreatic islet areas were congested necrosis, and loss of structure. The renal tissue showed the expression of swelling, inflammation, and congestion. The renal tubular structures and Bowman's capsules were altered, ruptured, and enlarged. The intestinal tissue showed that epithelium was ruptured, cells were loss of structure, and Cilliophora species were present. The folds of the intestinal mucosa were stuck and many places of congestion. The lung tissue showed that inflammation, hemorrhage, and congestion in the lungenbronchus and septum structures.

Evaluating the effectiveness of using Vessel Monitoring Systems on fishing vessels in Kien Giang Province

Phuong To Van, Nguyen Van Tam
Abstract | PDF (Tiếng Việt)
This study evaluated the effectiveness of using Vessel Monitoring Systems (VMS) on fishing vessels in Kien Giang province. From October 2021 to April 2022, the study surveyed 97 fishers who were captains and owners of Kien Giang fishing vessels installing VMS. The study’s findings showed that 91.3% of fishing vessels were equipped with VMS; ZuniVN-01 equipment was the most selected, accounting for 44.9%, followed by Viettel S-tracking, accounting for 30.4%. About 63.9% of respondents stated that VMS were used effectively, especially at highly effective use in SOS rescue function, accounting for 80.4%. The majority of fishers believed that the six core requirements of VMS were appropriate. However, 14% of participants replied that support services from suppliers were pretty delayed. These are important to help fisheries-related stakeholders better manage and control fishing vessels at sea under technical and management measures that combat illegal, unreported, and unregulated fishing to remove the yellow card from European Commission in the coming time.

Reproductive biology of the family Ampullariidae

Binh Le Van, Ngo Thi Thu Thao
Abstract | PDF (Tiếng Việt)
Different species in family Ampulariidae can be distinguished through the external shape and anatomy. The family Ampullariidae has an unequal sex ratio, with females present a higher proportion than males in the population. Male and female individuals develop separate sexes and the fertilization takes place in the female's sperm chamber after mating. Reproductive behavior of female snails is characterized by laying eggs in groups and attaching to holes in the soil, mud or on the trunks of aquatic plants and breeding. The Ampullariidae family lays eggs individually or in pairs when a pair of eggs exit the female reproductive tract through the oviparous organ, which is then ejected from the body and attached to the lower edge of the nest and through the oviparous organ and are laid in nests with several layers or only one layer depending on the spawning site. Eggs laid out are very soft, transparent, and after a while are calcified by a layer of calcium, the eggs become harder. The colors of eggs are different and depends on snail species.

Effects of different diets on the growth and survival rate of freshwater snail (Pila conica)

Ngo Thi Thu Thao, Le Van Binh
Abstract | PDF (Tiếng Việt)
This study was conducted to evaluate the effects of different diets on the growth and survival rate of the snail (Pila conica). The experiment consisted of 5 different diets and each treatment was three replicates as follows: 1) 100% pellet (TA), 2) 50% pellet + 50% gourd loofah (M50), 3) 50% pellet +50% duckweed (B50), 4) 100% gourd loofah (M100), and 5) 100% duckweed (B100). The snail has initial weight and height of 0.015 g and 3.25 mm, respectively and was reared in composite tanks at a density of 500 ind./tank. The results after 35 days of rearing showed that the survival rates of the snails were highest in the treatment B50 (93.73%) and M50 (93.13%), but they were not significantly different (p>0.05) if compared to the TA treatment (90.47%). The weight and productivity of snails in treatment B50 were higher and significant difference (p

Water quality parameters and diatom composition in super-intensive whiteleg shrimp (Litopenaeus vannamei) ponds

Nguyen Thi Kim Lien, Vo Nam Son, Huynh Truong Giang
Abstract | PDF (Tiếng Việt)
The study aimed to investigate water quality parameters and diatom species composition in super-intensive whiteleg shrimp ponds. The study was carried out at shrimp farms in Bac Lieu city, Bac Lieu province. A total of 11 sampling times, which were divided into 2 periods including rearing phase (2 ponds) and tgrow-out phase (4 ponds) were conducted. The results indicated that water quality parameters varied widely during the culture cycle, in which nutrient concentrations (TAN, NO3-, and PO43-) tended to increase toward the end of the crop. A total of 16 algal species were recorded in shrimp ponds. Diatoms had the highest species composition (8 species, 50%), and the others ranged from 2 to 3 species (12-19%). Average diatom densities were 2,813,930 ind. L-1 and 2,614,583 ind. L-1 in the rearing and grow-out periods, respectively. Thalassiosira sp. had a very high occurrence frequency and domination (84-99%) throughout the sampling stages. The diatom species included Thalassiosira sp., Cylindrotheca closterium, Nitzschia sp., Amphiprora alata, Navicula sp., Pleurosigma sp., Chaetoceros sp., and Coscinodiscus sp. These findings are valuable for the proper management of algae in brackish water shrimp ponds.

Situation of dual districtive students of Can Tho University in the current period

Huynh Thi Thanh Huong, Nguyen Thi Nhu Y, Chau Minh Phat
Abstract | PDF (Tiếng Việt)
There are few empirical studies trying to understand the situation of parallel study of two majors of students at a university. In order to find out the situation of students studying dual majors at Can Tho University, experimental methods were used in the topic interviews with structured and semi-structured questionnaires with 31 students who are studying dual majors in the period. Research results showed that students are aware of the advantages of studying two majors. In addition, many students said that they still have difficulties when they study two majors and pose a need for more support from the school. On the basis of the theoretical basis of the study, a number of proposals have been made by the authors to create more favorable conditions for students to participate in dual majors at the Can Thơ University.

Impact of flood on rice farmer’s income in Chau Phu district, An Giang province

Nguyen Van Ngan, Nguyen Thi Quynh Nhu, Vo Thanh Danh, Nguyen Thi Kim Phuong
Abstract | PDF (Tiếng Việt)
From the database directly surveyed from rice growing households on perception, response to flood risks, household income, descriptive statistics and regression methods were used to analyze impacts of floods on income of rice-growing households in Chau Phu district, An Giang province. The results showed that each household cultivates about 3 hectares of rice in the area. The average income of households in the survey sample is about 107 million VND per year. The rate of respondents' awareness of flood risks accounts for 52.27% and 43.18% is able to cope with flood risks. The regression analysis results showed that factors such as education of household head, working for the government or not, total land area, living area and the number of household members affect the income of rice farmers.

The impact of green human resource management on employee environmental behavior and environmental performance of hotels in Can Tho City

Ngo My Tran, Nguyen Thuy Linh, Nguyen Ngoc Anh Thu, Truong Ai Thuy Tien, Ngo Pham Phuong Chi, Tran My Tien
Abstract | PDF (Tiếng Việt)
This study aimed to investigate the impact of green human resource management on employee environmental behavior and hotel environmental performance in Can Tho city. One hundred and twelve employees of 3 to 5-star hotels in the city were interviewed for the study. The reliability assessment of the scale (Cronbach's Alpha), exploratory factor analysis (EFA), and structural equation modeling (SEM) were the main analytical methodologies. The results showed that green human resource management has a favorable impact on employees' ecologically friendly behavior working at the hotels. In addition, empirical evidence showed that green human resource management contributes to improving the environmental performance of hotels by reducing energy, wastes, material uses; reducing operating costs; and improving the image of the hotels.

Factors affecting farmer’s decision to participate in production linkage of intensive white leg shrimp (Litopenaeus vannamei) farming households in Soc Trang province

Nguyen Thi Ngan Ha, Nguyen Thi Kim Quyen
Abstract | PDF (Tiếng Việt)
This study was conducted from 02-12/2021 aiming to identify factors affecting farmers’ decision to participate in horizontal production linkage in supply chain of whiteleg shrimp (Litopenaeus vannamei) intensive farming in Soc Trang province. The numbers of 75 households participating in production linkage and 44 individual farming households were interviewed. The results of binary logistic regression showed that farming area, certified farming, stocking density, selling price, geographical distance, ratio of income of shrimp in total income, loan, number of training sessions increased the probability of participating to production linkage of shrimp farmers. Whereas the profit was negatively correlated with the decision to participate in production linkage. These horizontal production linkages have an important role in gathering production, organizing training courses, preferential loans and creating conditions for the application of quality certifications. The studied results serve as the basis for suggessing solutions to organize and develop linkages in production widely and effectively.