Research on developing a method to determine the content of benzalkonium chloride (BAC/BKC) group, an antibacterial drug, on aquatic samples, aquatic products and aquaculture water. The method aims to help laboratories analyze BAC in the above research subjects. In this study, BAC groups in raw shrimp samples, pangasius, breaded shrimp and aquaculture water were processed based on the QueChERS (Quick-Easy-Cheap-Effective-Rugged-Safe) technique, using ultra-high-performance liquid chromatography coupled to tandem mass spectrometry (UPLC-MS/MS). The method validation evaluated the parameters of interest, such as linearity (R2), limit of detection (LOD), limit of quantification (LOQ), sensitivity, selectivity, repeatability, reproducibility and accuracy, all of which met the European regulatory criteria Sante/11312/2021v2 and EU808/2021.

The development of the wind power sector aims to meet energy demands and reduce dependency on fossil fuels. However, the variability of wind energy sources poses challenges for grid operation and dispatch, leading to periods of surplus generation or insufficient power supply at different times. This study aims to enhance the accuracy of wind energy forecasts to optimize operations and integrate wind energy into the power grid. The applied method is the Multilayer Perceptron (MLP) regression model, which was selected for the task of wind power forecasting. The dataset used in the study includes input variables such as ambient temperature, wind speed, and wind direction, while the output corresponds to the power generated by the wind turbine. The model development and evaluation process is implemented using the Python programming language. The research highlights the potential of AI (Artificial Intelligence) and ML in optimizing wind power operations, efficiently utilizing wind resources, supporting effective grid dispatch, and promoting a sustainable power system.

Colorectal cancer is a dangerous disease that can endanger human health if not detected and treated early. Analysis of microbial data in the intestinal environment can support the diagnosis of this disease. This article proposes a microbial selection approach by Diverse Counterfactual Explanations (DCE). The classification results with classical machine learning algorithms such as Random Forest and Gradient Boosting on data with less than 3% of the total original features are 0.7759, 0.8055, 0.8093, 0.7923, on Austria, American, Chinese, and German-French cohorts, respectively. These results are better than on the original datasets with more than 1900 microbial species.

This study proposes a motion planning solution for a mobile manipulator system integrated with an unmanned aerial vehicle (UAV). A digital map is generated from images captured by a camera mounted on the UAV, containing information about obstacles and target positions. The Dijkstra algorithm is used to compute the shortest path, allowing the robot to reach designated targets while avoiding collisions. An odometry-based method is applied to estimate the robot’s position, with data transmitted to the control computer via the UDP protocol. At each specified location, the robot uses a camera to detect the target and activates the manipulator arm to grasp the object when within range. Experimental results showed that the system operates effectively in outdoor environments, ensuring accurate navigation, localization, and manipulation. The study demonstrated the potential of autonomous robotic manipulators for outdoor applications, especially in areas that are difficult to access.

This study analyzes the performance of deep learning models in network intrusion detection using the UNSW-NB15 dataset. The evaluated models include MLP, RNN, CNN, LSTM, BiLSTM, GRU, Autoencoder, and Transformer. Experimental results show that BiLSTM and GRU achieved the highest accuracy (98.78%) with relatively short training times (656.20 and 497.89 minutes). Meanwhile, the Transformer also achieved high accuracy (98.76%) but required the longest training time (1010.49 minutes). RNN and Autoencoder had the shortest training times but slightly lower accuracy (98.64% and 98.72%). BiLSTM and GRU emerged as optimal choices due to their balance between accuracy and training time, whereas Transformer is suitable for systems with abundant computational resources. This study highlights the potential of deep learning models in detecting modern network intrusions and their applicability to practical cybersecurity systems.

This study applies the Life Cycle Assessment method to analyze the greenhouse gas (GHG) emissions of three cabbage farming models: conventional, VietGap, and organic in suburban Hanoi. Data were collected from 182 conventional farms, 50 VietGap farms, and 49 organic farms. The results showed no significant difference in GHG emissions per unit area between the conventional (5,949 kg CO2-eq/ha) and VietGap (5,930 kg CO2-eq/ha) models, while the organic model emitted 1.5 times less. Emissions per unit of product were also not significantly different among the models. However, GHG emissions per income from product sales in the organic model (5.5 kg CO2-eq/thousand VND) were nearly three times lower than in the conventional and VietGap models. Inorganic fertilizers were the main source of emissions in the conventional and VietGap models, while organic fertilizers and energy use were the primary emission sources in the organic model. Efficient nutrient and energy management practices could help reduce GHG emissions, contributing to sustainable farming practices in Vietnam.

The aim of the study was to investigate the rate of clinically significant drug-drug interactions (DDI) in hypertension outpatients at Buon Ma Thuot University of Medicine and Pharmacy Hospital in 2023 - 2024. The study contents, including characteristics of patients and drug class on the prescriptions, were analysed by descriptive statistics; DDIs were analysed on 3 databases of Micromedex, Medscape.com, and Drugs.com; factors influencing DDI were analysed by chi-square and logistic regression tests. The results showed that the proportion of male and female patients was equal (50.48% vs 49.52%), the majority of patients were under the age group of 50-70 years, and the most used drug class was beta-blockers (61.7%). The prevalence of clinically significant DDI was 22.54%, and the mechanism of DDI was mainly pharmacodynamics (71.29%). Factors strongly influenced DDI were heart failure (OR = 6.678, p = 0.001), the number of active ingredients on the prescription (OR = 3.865, p = 0.001), and using angiotensin converting enzyme inhibitor group (OR = 3.024, p = 0.01). However, the study was only carried out on outpatient prescriptions; further studies in inpatient treatment are needed to fully evaluate DDI.

Magnetic Resonance Imaging (MRI) classification is one of the practical applications that has garnered significant attention from many scientists around the world. This research proposes a breast cancer image classification algorithm based on the combination of fuzzy clustering analysis and the Inception ResNet V2 architecture (FCIR-V2). First, the fuzzy clustering analysis algorithm is used to segment the images into separate classes. Then, the deep learning Inception ResNet V2 architecture is applied to classify the segmented images. Based on newly established improved parameters from the fuzzy clustering analysis and Inception ResNet V2 architecture, an efficient new classification model for image classification is developed. Additionally, this model is specifically applied to the breast cancer dataset (Breast Cancer, 400x). The results showed that the algorithm used for this model is more effective than other methods, based on the ACC and F1-Score metrics.

In this study, activated carbon materials are successfully synthesized by calcinating durian shells with KOH as an activator. The structure and morphology of activated carbon were investigated by Xray diffraction (XRD), Scanning electron microscopy (SEM) and isotherm nitrogen N2 adsorption-desorption isotherm. The XRD patterns of AC showed a broad peak between 20° and 27°, centered at 23°, with an additional peak around 43° ascribed to the amorphous carbon. SEM images showed the material surface forming many pores, and the specific surface area of the SR400 HH, SR500HH and SR600 HH materials were 1034, 1591 and 1576 m2/g, respectively. Subsequently, the activated carbon was used as electrode active material in supercapacitors. The performance of the electrode was analyzed by Cyclic Voltammetry (CV), which showed that the SR500 HH electrode had the highest specific capacitance with 70 F/g at 5 mV/s. Additionally, the SR500 HH electrodes maintained 86% of their capacitance after 1000 cycles by the Galvanostatic charge discharge (GCD) method.

PLGA nanoparticles loaded with luteolin-7-O-β-D-glucopyranoside (LUT/PLGA-NPs) were successfully prepared and evaluated for anti-cancer activity. The results showed that the LUT/PLGA-NPs had an average particle size in the range of 188 – 224 nm, zeta potential from – 70 mV to – 43 mV, and the drug release of up to 27.98 % and 74.80 % for 72 hours, at pH 7.4 and 5.3, respectively. This study indicated that LUT/PLGA-NPs had high stability, controlled release, and good dispersibility. Furthermore, LUT/PLGA-NPs exerted toxicity to cervical cancer cells (HeLa) and reduced toxicity to kidney embryonic cells. Therefore, the LUT/PLGA-NPs promise the possibility of natural compounds being applied in cancer therapy using nanotechnology.

This study evaluates the potential anti-cancer activity of the Nepenthes mirabilis extract using human cancer cell lines. The results indicated that the extract can inhibit the growth of cervical carcinoma cells (HeLa) with IC50 values of 151.35 and 158.49 µg/mL, representing the selectivity index (SI) values of 1.86 and 1.26 for 24 and 48 hours of treatment, respectively. Additionally, the extract showed inhibitory effects on colorectal adenocarcinoma cells (HT-29) with an IC50 value of 141.25 µg/mL within an SI value of 1.41 for 48 hours of treatment. Furthermore, the total polyphenol and flavonoid content exhibited high values of 538.20 mgGAE/g and 367.08 mgQE/g of dried extract. Our findings enhance the scientific understanding of Vietnamese flora and pave the way for developing potent herbal cancer therapies.

The red-emitting phosphor BaMgAl₁₀O₁₇: Cr³⁺, Mn⁴⁺ was successfully synthesized using the co-precipitation method. The results show that the material strongly absorbs at a wavelength of 480 nm and emits in a broad spectral range from 630 nm to 730 nm, with three emission peaks at 660 nm, 692 nm, and 719 nm. The optimal doping concentrations were determined to be 0.7 mol% Cr³⁺ and 0.8 mol% Mn⁴⁺, with a sintering temperature of 1200°C for 4 hours. The incorporation of Mn⁴⁺ and Cr³⁺ ions into BaMgAl₁₀O₁₇ enhances the luminescent centers, leading to a higher emission intensity and an expanded spectral range. These results indicate that the phosphor has potential applications in agricultural lighting LEDs.

An S4 modular symmetry model with a minimal seesaw mechanism is proposed to reduce the number of  free parameters and unwanted new particles when the Standard model is expanded. The proposed model satisfies the experimental data of the lepton sector such as neutrino mass and the lepton mixing matrix, such that the vaulues of the model’s parameter space are found. The leptogenesis process of the model was studied, where the asymmetry between matter and antimatter of the Universe is successfully generated.

The study was carried out to evaluate the prevalence of FMD virus and the protection status after foot and mouth disease  (FMD) vaccination in this area in Tan Tru and Duc Hue districts, Long An province. The ELISA method tested for antibodies against the 3-ABC protein of FMD virus. Both the ELISA and VNT (Virus Neutralization Test) methods examined antibodies of FMD after vaccination. The results recorded the livestock breeding situation, herd, breeds, mating methods, and hygiene in livestock farming in accordance with the province's livestock program. Typical symptoms in cattle infected FMD included high fever (71.43%), blisters on the tongue, lips, gums, palate (76.19%), loss of appetite, drooling, eyes, nose (71.43%), blisters appearing in thin skin areas (71.43%). The average FMD rate was 4.19%. The high FMD disease rate was found in cows under 25 months old, as well as in cows exposed to unfamiliar cows and sharing grazing pastures. The circulation of FMD virus in the herd was up to 28.13%. The protection after FMD vaccination was relatively high, reaching 86.67% protection for serotype O and 75.56% for serotype A.

Silver nanoparticles were synthesized from silver nitrate solution using an extract from the leaves of Pterospermum heterophyllum in Vietnam. UV-Vis analysis showed a maximum absorption wavelength at 415 nm, confirming the formation of silver nanoparticles. TEM images revealed spherical particles with a diameter of approximately 40,- 45 nm and a fairly uniform size. FT-IR analysis indicated the presence of functional groups in the extract, demonstrating their involvement in the synthesis process. The synthesized silver nanoparticles exhibited the ability to inhibit cancer cell growth, with IC50 values of 50.40 ± 1.60 µg/ml for MDA-MB-231, 40.88 ± 2.51 µg/ml for HT-29, and 55.32 ± 2.78 µg/ml for K562.

The objective of this study was to evaluate the quality of four longan varieties cultivated in the Mekong Delta. The research was based on a dataset of physicochemical characteristics, from which the multivariate data was evaluated using principal component analysis. The results showed that all four longan varieties had statistically significant differences in both morphological features and physicochemical properties. Each cultivar exhibited a unique standout characteristic: Idor had the highest flesh percentage (69,49% of total weight), Xuong com vang was notable for its superior sweetness (23.11°Brix), Xuong Tim stood out with its reddish-purple pericarp (pericarp with the highest a* value at 32.23), and Thanh nhan was characterized by its large size and distinctive yellow aril (fruit average diameter and weight at 35.05 mm and 19.74 g/fruit, and aril with the highest b* value at 12.93). These findings provided a scientific basis for selecting appropriate longan varieties depending on their intended usasge to optimize product quality and production efficiency.

The study produced a powder and stabilize the bioactivity of phenolic compounds extracted from Nu Hoang guava leaves. The foam mat drying method was applied using albumin (2, 5, 10, and 15%) as a foaming agent and carboxymethyl cellulose (CMC) (0.5, 1.0, and 1.5%) as a stabilizer. Additionally, several mathematical drying models were employed to predict drying curves at 50, 60, and 70°C, and to determine the most suitable model. The results showed that the suitable conditions for powder production were 10% albumin, 0.5% CMC, and a drying temperature of 60°C. The total phenolic content reached 2.56±0.03 mg gallic acid equivalents (GAE)/g dry matter (DM), and the antioxidant activity, based on DPPH free radical scavenging capacity, reached 12.42±0.03 mg trolox equivalents (TE)/g DM. The Page model was identified as the most accurate for predicting the drying behavior, with an R² value of 0.9996. The powder derived from Nu Hoang guava leaves was rich in phenolic compounds and exhibited significant antioxidant activity, suggesting its potential application as a functional food supplement to support antioxidant activity and human health.

This study focused on optimizing the production process of probiotics from native Lactiplantibacillus for use in chicken farming, aiming to replace antibiotics. From 68 Lactiplantibacillus strains isolated from the chicken feces, five strains with the best antibacterial activity against Escherichia coli, Salmonella typhimurium FC13827 and Proteus mirabilis were selected and evaluated for safety. Four strains (L. plantarum 1582, L. plantarum JDM1, L. acidophilus NCFM, and L. agilis DSM 20509) were cultured in different media, of which the medium Mgl (containing glucose) and Mlac (containing skim milk powder) gave the best growth. Semi-industrial fermentation tests with these strains determined the optimal agitation speed to be 50 rpm, achieving a biomass of 0.6 g/L. The study provides important information on strain selection and optimization of culture conditions for native Lactiplantibacillus, aiming at reducing antibiotic use in chicken farming. However, further in vivo studies are needed to evaluate the efficacy of this product under real conditions.

The study aimed to determine the prevalence of Ancylostoma spp. in dogs raised in Hue City and measure the efficacy of ivermectin. A total of 182 fecal samples from dogs were collected and tested by flotation technique. Univariate binary logistic regression was used to compute the odds ratio associated with potential risk factors. The result showed that the overall prevalence of Ancylostoma spp. in Hue City was 19.78%. No significant associations were observed among breed, age, sex and breeding method for Ancylostoma spp. (p>0.05). There was an association between Ancylostoma spp. infection and regular deworming in dogs (p

Many types of plant extracts, such as rose laurel, piper betle, hairy beggarticks and garlic bulb, can biocontrol plant pathogens to reduce the use of chemical pesticides. The objective of the study was to select the best plant extract to control mycelium and fungal spores of Colletotrichum sp. and Fusarium solani, causing plant diseases under laboratory conditions. Research results showed that all 4 types of plant extracts could inhibit Colletotrichum sp. and Fusarium solani, with inhibition efficiency ranging from 1.4-100%, in which the treatment using garlic extract at a concentration of 10% with ethanol 20o as a solvent could totally inhibit fungal mycelium on PDA medium. Moreover, garlic extract completely inhibited the spore formation and development of these two fungi in PDB medium after 9 incubation days. In summary, 10% garlic extract can inhibit the growth of mycelium and spores of Colletotrichum sp. and Fusarium solani under laboratory conditions and has a high potential for application to control plant diseases.

The project evaluated the impact of potassium nutrients on the growth and yield of hybrid corn under different irrigation frequencies. The experiment was conducted at the Agricultural Farm Unit, College of Agriculture, Can Tho University, from June 2023 to October 2023. The experiment was arranged in a completely randomized block design with 12 treatments consisting of 3 levels of K2O fertilization (64, 80 and 96 kg/ha) combined with 4 irrigation frequencies (2, 4, 6 and 8 days/time). The results showed that the application of 64 kg K2O/ha at watering frequency of 2 days/time (soil moisture 70.4 - 72.7%) of F1 Honey 10 hybrid corn had high growth and yield compatible with the amounts of 80 and 96 kg K2O/ha. At watering frequency of 4 days/time (soil moisture from 55.6 - 59.1%), the amounts of 80 and 96 kg K2O/ha was effective in maintaining the growth and yield of hybrid corn as watering frequency of 2 days/time. At watering frequencies of 6 and 8 days/time, the amount of 64, 80 and 96 kg K2O/ha reduced plant height, chlorophyll index, stomatal conductance, yield components and yield.

The study aimed to investigate the quality changes of striped catfish (Pangasianodon hypophthalmus) fillets grouped by colors during ice storage. Striped catfish fillets (white, pink, and yellow colors) were obtained from a seafood processing plant, then transported to the laboratory, packaged in PE (Polyethylene) bags, and stored in ice. Sampling was carried out on the day(s) 0, 4, 8, and 12 for analysis of color measurement, total viable counts (TVC), sensory evaluation, texture, pH, water holding capacity (WHC), peroxide value (PV) and TBARs. Results indicated that the brightness L*, a* and b* values were highest in white, pink, and yellow fillets, respectively. Compared to pink and yellow fillet groups, the white color exhibited superior results for analyzed quality parameters. All fillets of three color groups could be maintained their sensory properties and acceptable bacterial load (

The study to determine some population biological characteristics of Thai anchovy (Stolephorus dubiosus Wongratana, 1983) in the seawaters of Ba Ria-Vung Tau province. During the time of study from September 2020 to August 2021, a total of 1,834 samples were collected from stow nets and bottom trawl nets. The results showed that the average length of Thai anchovy was 50.4±7.3 mm, concentrated in the length group from 40-50 mm. The von Bertalanffy growth equation was Lt = 89.3×(1-e -0.99*(t-(-0.13))), and the longevity (tmax) was estimated as 3.04. The length-weight relationship equations were Wmale = 1E-05*L2.93; R² = 0.85 and WFemale = 2E-05*L2.86 ;R² = 0.85. The spawning season was concentrated in 2 peaks, from January to March and August to October. The length at first maturity (Lm50) is 42.6 mm. The Thai anchovy population was being exploited at an equilibrium level with the total mortality (Z) estimated at 3.82 yr-1, natural mortality (M) was 2.50 yr-1, fishing mortality (F) was 1.32 yr-1, and exploitation coefficient (E) was 0.35. The recruitment pattern of Thai anchovy was year-round, concentrated in 2 peaks, most in March and August. These research results provided a scientific basis for the sustainable management and exploitation of S. dubiosus resources in the region.

This study aimed to evaluate the efficacy of combined injection and oral vaccination against Edwardsiella ictaluri in striped catfish (Pangasianodon hypophthalmus) based on growth performance, RPS%, and immune gene expression. The experiment followed a completely randomized design with four treatment groups: (NT1) injection on day 1 followed by oral vaccination on day 30, (NT2) injection on day 1 without further oral vaccination, (NT3) no injection on day 1 but with oral vaccination on day 30, and (NT4-Control) no injection or oral vaccination at any point. After 50 days, all groups were challenged with E. ictaluri to evaluate vaccine-induced protection. The challenged result showed that the highest RPS protection rate was NT1 (61.9%), followed by NT2 and NT3, with 47.6% and 33.3%, respectively. Furthermore, both injection and oral vaccination led to immune gene upregulation, indicating immune activation in the experimental fish. These results demonstrate that a combination of injection and oral vaccination enhances protective efficacy and is a promising strategy to boost disease resistance in the striped catfish.

This study analyzes the factors influencing the academic performance of students eligible for direct admission to supplementary knowledge courses at Can Tho University. Based on primary data collected from 200 students from their first to fourth year, the study utilizes scale reliability assessment (Cronbach’s Alpha), exploratory factor analysis (EFA), and Binary Logistic regression. The research results indicate that there are three factors influencing the academic performance of students eligible for direct admission to supplementary knowledge courses at Can Tho University: (i) Learning methods, (ii) Facilities, and (iii) Teaching methods. Based on this, the study proposes recommendations for students and the school to improve students’ academic performance, contributing to enhancing the quality of education at the institution.

The results of research on the awareness and readiness level of students majoring in Medicine in the fifth year and sixth year) of Can Tho University of Medicine and Pharmacy (CTU) academic year 2023 - 2024 on medical examination and treatment practice activities according to the Law on Medical Examination and Treatment 2023 were presented. Research results showed that medical students at the University of Traditional Medicine have a very diverse awareness and have a high level of readiness for medical examination and treatment practice activities in the future. However, there are still many students who are not fully aware and have not proactively invested in work after graduation. The above situation poses many problems for the University, the teaching activities of lecturers and most importantly, the efforts and striving of students themselves to truly become high-quality human resources in the field of health, serving the cause of care, protecting and improving people's health.

Assessment of natural science competence in primary school students is essential to foster basic science skills and is consistent with the learner-centered goals of the 2018 General Education Program. This study presents the scientific basis, process, and four rubrics to assess competence in grade 4 students on Mushrooms (Science 4). For each lesson on this topic, we developed four rubrics, each consisting of three standards and fifteen criteria. The survey results of teachers and administrators show that the rubrics have a solid scientific and methodological basis and are practical and consistent with the Ministry of Education and Training standards. The research results provide a theoretical basis and rubrics to effectively assess students' natural science competence in Science 4 in general and on the topic of Mushrooms in particular.

This study examines the academic support needs of students at School of Foreign Languages, Can Tho University, with the aim of identifying specific requirements, evaluating the effectiveness of existing services, and proposing appropriate solutions. Data were collected through questionnaires administered to students across various disciplines and academic levels using a quantitative research approach. The findings indicate that students require support in areas such as study skills, mental health, career orientation, and participation in extracurricular activities. Furthermore, the study highlights the limitations of current support services, emphasizing areas that need improvement. These results underscore the critical importance of developing effective academic support strategies to enhance student satisfaction and academic success.

The article aims to identify factors affecting aquaculture types in Nam Can district, which is the basis for proposing solutions to reduce the impact, towards sustainable agricultural development. 90 farmers and 30 agricultural managers in the communes of Nam Can district were surveyed to find out the factors affecting three aquaculture types. Afterwards, 30 experts were consulted to determine the level of influence of the factors by multi-criteria evaluation methods. The results showed that factors such as weather, profit, soil, household capital, investment costs, and capital efficiency were the main influencing factors. Thereby, solutions about soil improvement, irrigation system improvement, production chain construction, quality and price management of materials, scientific and technical training and loan support policies for aquaculture were proposed to advise farmers to manage, exploit and use land resources reasonably.

This study investigates the trend forecasting models in the prediction of the rubber export of Vietnam in the period 2024-2028. Two forecasting models, including the linear trend model and the quadratic trend model, were applied to statistical data of rubber export output in the period from 2007 to 2023. The forecasting models are evaluated by using the mean absolute error (MAE), the mean absolute percentage error (MAPE), the root mean square error (RMSE) and Theil's U coefficient. The study results showed that the quadratic trend model presents the lowest error and is most suitable for forecasting the output of rubber export of Vietnam.

This research analyzes the determinants of consumers’ decisions to purchase low-emission rice, based on survey data from 342 respondents in Can Tho City, An Giang, and Vinh Long provinces. A binary Logit model was employed to identify determinants of product choice. The results indicate that female consumers, those with higher education levels, and those with knowledge of green agriculture are more likely to choose low-emission rice. Households with more children and those residing in Can Tho City also showed a higher probability of selecting the product compared to other locations. The contingent valuation method revealed that consumers are willing to pay approximately VND 35,000 per kilogram, which is about 63% higher than the price of the rice they currently consume. These findings provide a foundation for proposing solutions and policy implications, such as raising public awareness, enhancing communication about environmentally friendly products, and developing appropriate pricing strategies to promote low-emission rice consumption.