VNUHCM Journal of Science and Technology Development

Latest Articles

1. ENGINEERING AND TECHNOLOGY

   Synthesis of a unique oligomer by means of the thiol-maleimide reaction of extending 1,1'-(methylenedi-4,1-phenylene) bismaleimide chains for the employment of self-healing polymers

   Nguyen N., K., Thi M., L., Song D., A., Dang H., Truong T., Nguyen L. T.

   The research will make a major contribution to the creation of new healable polymers reliant on the Diels-Alder mechanism in the foreseeable future.

   Published: 2023-05-28In press
2. ECONOMICS, LAW AND MANAGEMENT

   Viet Nam With Developing A Service Oriented Public Administration To Meet The Requirements Of New Generations Of Free Trade Agreements

   Phương H.àn.

   Free trade agreements not only offer many opportunities but also pose numerous challenges for Vietnamese businesses. Continuing to operate the current governing administrative system will not promote the initiativeness, positivity and creativity of businesses. In contrast, businesses will fail to attract foreign investors due to concerns about Vietnamese regulatory agencies interfering, imposing on production and business activities, and extremely protecting the interests of domestic enterprises. It is necessary to build a service-oriented administration, taking the satisfaction of businesses and people as the goal, promoting the ownership and capacity of businesses and people, and ensuring a healthy and equal investment and business environment in the context that Vietnam increasingly participates in the common playing fields created by new-generation free trade agreements.

   Published: 2023-05-27In press
3. NATURAL SCIENCES

   Enhancement of the crystalline phase in poly(vinylidene fluoride) by using the electrospinning technique and graphene oxide composition

   Nguyen T., Vu P., Trinh H.

   Both the electrospinning process and GO led to an increase in the crystallinity of PVDF. PVDF/GO nanofibers with crystallinity degrees above 60% can be applied in many fields, such as water purification membranes, air filters, energy harvesting materials, biosensors, and catalysts.

   Published: 2023-05-27In press
4. ENGINEERING AND TECHNOLOGY

   Effect of Applied Voltage on the Electrochemical Copolymerization of Thiophene and Dithenopyrrole Derivatives

   Nguyen C., Le Nguyen T., P., Bui T., Doan B., Hoang Luu T., Duc Tran C., Thu Truong T., Tuan Tran T., V., Le Tran H., Van Mai X., Ha N.

   The linear sweep voltammetry potentiostatic approach was employed to electrochemically synthesize the conjugated copolymers P(3HT-random-HPDTP) at three distinct applied voltages (1.4, 1.435, 1.6 V). In relation to their synthesis conditions, their chemical structural, optical, and electrical properties were investigated and compared using Fourier transform infrared (FTIR) spectroscopy, UV‒Vis absorption spectroscopy, and cyclic voltammetry (CV). The results indicated that choosing a suitable applied voltage in the electropolymerization process significantly improved the electrochemical stability and lowered the HOMO level of the conjugated copolymer.

   Published: 2023-05-27In press
5. ENGINEERING AND TECHNOLOGY

   Improving Vietnamese Fake News Detection based on Contextual Language Model and Handcrafted Features

   Pham K., Thin D., Nguyen N.

   In recent years, the rise of social networks in Vietnam has resulted in an abundance of information. However, it has also made it easier for people to spread fake news, which has done a great disservice to society. It is therefore crucial to verify the reliability of news. This paper presents a hybrid approach that uses a pretrained language model called vELECTRA along with handcrafted features to identify reliable information on Vietnamese social network sites.

   Published: 2023-05-20In press
6. NATURAL SCIENCES

   Molecular dynamics simulation of pressure effect on silicene nanoribbons

   Huynh H., Truong T., Le H., D., Nguyen L., Ngo P., A., Trinh N., G., Nguyen L.

   This study provides insights into the dependency of the structure of silicene on the pressure and boundary, represented by the first-order transition at low pressure and a congregation of disordered low-numbered rings into the ordered tetragonal formation at high pressure. Notably, our results have shown that silicene nanoribbon materials can be controlled by pressure to obtain unfamiliar structures such as pentagonal and tetragonal networks.

   Published: 2023-05-052705-2713
7. SOCIAL SCIENCES AND HUMANITIES

   How Female Physical Attractiveness Affects Others’ Judgments of Personality and Ability in a Simulated Recruitment Situation

   Phuong V., Dinh Thi H., A., Bach Ma M., T., Tran Hong S., V., Nguyen Huynh T. T.

   Appearance is an important factor that affects how we feel and think about others. Previous studies have shown that physically attractive people are rated more favorably in political, legal and managerial settings than less attractive people. This experimental study was conducted to investigate whether one’s level of facial attractiveness affected one’s personality and ability ratings by others in a simulated recruitment context and whether the gender of the raters moderated this relationship.

   Published: 2023-05-052697-2704
8. ENGINEERING AND TECHNOLOGY

   Toward Deep Transfer Learning for Realistic Activity Recognition in Videos

   Vo V.

   Today, videos have become popular on the internet and specified in social network and media platforms such as Youbue, Ticktok, and Vimeo. Video understanding has attracted much attention in the research community in recent years. Automatically recognizing human activity in wild videos is a trending research topic with a wide range of applications in advertising, smarthome, and surveillance camera systems. Deep convolutional neural networks have become a new de facto visual recognition problem. It achieved much success in image recognition problems that are leveraged from the ImageNet dataset. Many researchers have applied CNNs to the video domain, but the results in realistic video still have many challenges, and the recognition rate is not as expected. Because the realistic activity in video is extremely small, we cannot train a large deep convolutional network to achieve good performance. In this work, we answer the question “how could we transfer the visual features from the ImageNet dataset into video for activity recognition tasks?”. We propose an approach based on the pretrained models from ImageNet for activity recognition in video that is based on transforming video into an image map for temporal information and a frame-based description for spatial information. We test our proposed approach on three datasets, UCF11, UCF50 and UCF101, and it achieves an accuracy of over 95% for the backbone of ResNet and over 88% for the backbone of MobileNet. The experimental results show that our proposed method is robust and efficient in wild video datasets.

   Published: 2023-04-302681-2691
9. NATURAL SCIENCES

   Highly pure alpha-hederin from Hedera helix leaves isolated by centrifugal partition chromatography

   Tran N., Tran A., Pham N., Doan N., Pham L., Le H., Nguyen H., Phung T.

   Hedera helix is a species of the Araliaceae family, which contains flavonoids, coumarins, phenolic acids, sterols, alkaloids, anthocyanins, and triterpene saponins. α-Hederin is a saponin compound of the H. helix that possesses many potential biological activities. In previous studies, several methods were used to isolate and purify α-hederin from ivy leaves. However, the loss of α-hederin obtained during solid chromatography purification was relatively high, and it was difficult to obtain α-hederin with high purity. In this research, a centrifugal partition chromatography (CPC) method was established for the isolation of α-hederin directly from ethanol crude extract of Hedera helix leaves from Da Lat, Lam Dong province, Vietnam.

   Published: 2023-04-302692-2696
10. ENGINEERING AND TECHNOLOGY

    New model for low-end computers: ResNet and VGG-16

    Nguyen H., L., Huynh K. T.

    ResNet-50 is a powerful architecture of convolutional neural networks, which gives truly high accuracy and very small error rate. However, this architecture seems not to be very effective when executing in low-end computers because of the small batch size for satisfying limited resources, which is not good for batch normalization. There is also an attempt to use VGG-16 as an alternative method, but vanishing gradients occur often. The proposed model is an improvement of VGG-16 using ResNet for shortcuts to prevent vanishing gradients, and the new architecture does not require batch normalization. As a result, the proposed model achieves a high test accuracy of 85.4%, while ResNet-50 achieves a test accuracy of 75.9% after 40 epochs of training 14,034 images from the Natural Scenes from Image Classification Challenge by Intel. This model is effective for applications related to image processing.

    Published: 2023-04-152672-2680