620 research outputs found

    Advantages of the Vietnam Criminal Procedure Model in Criminal Case Settlement and Deficiencies that Must Be Improved in the Context of International Juridical Harmony

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    Completing the Vietnamese criminal procedure model in the direction of improvement and better protection of human rights is an essential requirement for Vietnamese criminal procedure law, particularly because countries are growing closer together, and Vietnam and other nations must deal with harmonising international criminal justice law. This article aims to analyze the advantages of the Vietnamese criminal procedure model, its deficiencies, and recommendations for improving the model in combining interrogation and litigation procedures to achieve conformity with international law. As a methodology, the author utilized data collection from documentation, law analysis writing, and comparative method to complete this article. This article demonstrates that the Vietnamese criminal procedural law reform will effectively safeguard human rights during procedures, particularly the accused’s right to a fair trial. To reach a more comprehensive procedural model in the current context of Vietnam, the article proposes reasonable solutions to improve Vietnamese criminal procedure law to ensure that the good values of the interrogation procedure model are preserved while incorporating the achievements of the litigation procedure model

    Three new species of the spiral nematode genus helicotylenchus steiner, 1945 (nematoda: hoplolaimidae) from Vietnam

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    Investigations on entomopathogenic and plant parasitic nematodes in some natural forests in the Ngoc Linh mountain (Quang Nam province) and the Thuong Xuan forest (Thanh Hoa province) revealed three new species of plant parasitic nematodes belonging to the genus Helicotylenchus Steiner, 1945 (Nematoda: Hoplolaimidae). These new species were named Helicotylenchus castanus sp. n., Helicotylenchus madhucus sp. n. and Helicotylenchus digitus sp. n. with morphological characteristics described and illustrated. The new species Helicotylenchus castanus sp.n.  is characterized by the highly hemispherical shape of the lip region, extremely short and rounded tail without projection. The second new species Helicotylenchus madhucus sp. n. is characterized by high lip region with 4-5 annuli, hemispherical and not set off from body contour, stylet 31.3-35.9 (33.3 ± 1.3) µm long, tail with a short ventral projection and the presence of males in the population. The third new species, Helicotylenchus digitus sp.n. was recognized by broad rounded tail with strong annulated projection in the digital shape, and also the presence of males in population.

    Studying of The Viability of Selected Probioitcs in Soy Milk to Develop A Functional Beverage Product

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    In this research, Lactobacillus casei (L.casei) and  Lactobacillus plantarum (L.plantarum) were added into two soymilk products. The number of survival probiotics as well as the effects of probiotic strains, soymilk brands and additives to the quality of final product were also studied. The initial number was added around 107 to 108(CFU/ml) into Fami and Vinasoy soy milk. The number of survival probiotics was stable during the first four weeks with about 107 (CFU/ml) and then decreased to around 106 (CFU/ml) in the sixth week. In term of soymilk’s quality, the pH decreased dramatically while the Brix fell slowly after storing seven days in both soymilk products. The influence of food additive-fructose oligosaccharides adding to microencapsulate probiotics was also examined to increase storage time and final product quality

    Application of the improved four-node element MISQ24 for geometrically nonlinear analysis of plate/shell structures

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    In this paper the smoothed strain based four-node flat element MISQ24 with driiling degrees of freedom is extended for geometrically nonlinear analysis of plate and shell structures. The von-Karman's large deflection theory and the Total Lagrangian (TL) approach are employed in the formulation of the elements to describe small strain geometric nonlinearity with large deformations using the first-order shear deformation theory (FSDT). The predictive capability of the present models is demonstrated by comparing the present results with analytical/experimental and other numerical solutions available in the literature. Numerical examples show that the presented formulations can prevent loss of accuracy in severely distorted meshes, and therefore, are superior to those of other quadrilateral elements with inplanes rotations

    CURRENT CULTURAL LIFESTYLE OF THE HMONG PEOPLE IN THE BORDER AREA OF CAO BANG PROVINCE, VIETNAM

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    The culture of ethnic minorities in general and the Hmong people in particular are an essential part of Vietnam's advanced culture, rich in ethnic characteristics. In the current process of international integration, the exchange and adaptation of cultural values from the outside world are both an objective necessity and a challenge. This process provides opportunities while, at the same time, posing challenges for preserving and promoting traditional cultural values. Additionally, the Hmong culture is also influenced by religious beliefs, specifically Protestantism, which accentuates cultural transformation. This has an impact on the stability and development of the cultural and social aspects, as well as the local and national security. Therefore, this article focuses on analyzing the current cultural lifestyle of the Hmong people in the border region of Cao Bang province. It aims to identify the issues that arise and propose solutions to preserve and promote the cultural values of this ethnic group under the influence of Protestantism. Simultaneously, it seeks to limit the emergence of negative factors contributing to the sustainable development of the border region of Cao Bang province

    Carrot hairy roots (Daucus carota L.) characterisation and optimisation for high β‐carotene extraction

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    Hairy roots are widely known as a biological system for the production of highly diverse biomolecules. β‐carotene – a precursor for vitamin A – is known to be an anti‐oxidant and anti‐gastric cancer and protection agent against cardiovascular disease, heart disease and stroke. β‐carotene has been chemically synthesised and consumed by humans. However, the chemical process often produces a by‐product that may be harmful to human health. Therefore, this study established a protocol to induce hairy roots (HRs) from a Vietnamese carrot variety and produce natural β‐carotene. The Rhizobium rhizogenes ATCC15834 harbouring Ri plasmid and a Vietnamese carrot variety were used as materials for genetic transformation and HR induction studies. The result showed that approximately 50 HR lines were obtained. Culture medium supplemented with 30 mg/L of sucrose that gave the highest biomass of HR was shown in carrot HR line 30, which had a doubling time of 6.5 days. The highest content of β‐carotene extraction, at 128 mg/100g hairy roots, was achieved with a ratio volume (v/v) of 2‐propanol and plant samples of 20:1, followed by two hours’ incubation with 2‐propanol at 60 °C. Our study reveals a highly efficient protocol for Vietnamese carrot hairy root establishment and multiplication. A very efficient protocol for β‐carotene extraction from the hairy root was established to produce natural β‐carotene that achieves the same β‐carotene quantity as that produced by normal roots. This study provides new insight into the production of high‐content and natural β‐carotene for therapeutic application

    USING MEDICAL OBJECTS FOR CLINICAL RECORDS CLASSIFICATION

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    ABSTRACTIn this paper, medical objects are used as featuresto classify clinical records. Medical objects such as disease names, drug names, symptoms, examination indicators are extracted using an Unstructured Information Management Architecture (UIMA) based system. The extracted medical objects will be used against the  "bag-of-words" as the features of the clinical record in some classification algorithms. The results show that the precision of the classification results using medical objects is better in all algorithms, suggesting that medical objects contribute a significant part to the semantic of a clinical record.Keywords.information extraction, healthcare informatic

    Robust Global Tracker based on an Online Estimation of Tracklet Descriptor Reliability

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    International audienceThe complex scene conditions such as light change, high density of mobile objects or object occlusion can cause object mis-detections. When a tracker can not recover these mis-detections, the trajectory of an object is fragmented into some short trajectories called tracklets. As a result, tracking quality is reduced remarkably. In this paper, we propose a new approach to improve the tracking quality by a global tracker which merges all tracklets belonging to an object in the whole video. Particularly, we compute descriptor reliability over time based on their discrimination. On the other hand, a motion model is also combined with appearance descriptors in a flexible way to improve the tracking quality. The proposed approach is evaluated on four benchmark datasets. The obtained results show the robustness and effectiveness of our approach compared to tracking as well as tracklet linking approaches from state of the art

    THE RELATIONSHIPS BETWEEN STUDENTS’ SELF-CONFIDENCE AND THEIR ENGLISH-SPEAKING PERFORMANCE: A CASE STUDY OF ENGLISH-MAJORED STUDENTS AT A PRIVATE UNIVERSITY IN VIETNAM

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    This research aimed to discover the relationships between students' self-confidence and their English-speaking performance. In our research, self-confidence was divided into three components which are affective confidence, behavioral confidence, and cognitive confidence. In addition, speaking performance included eight components which are vocabulary, grammar, pronunciation, fluency, coherence, comprehension, task, and content. A sample of 150 English-majored students at a university in Vietnam was surveyed in this study by using a convenience sampling technique, and then conducting semi-structured interviews to seek for qualitative information from 10 participants out of 150. The result from our study showed that there are significant relationships between the two variables. The more confident the students are, the more accomplished they would be in the presenting procedure since they have superior cognition and understand how to modify their learning methods to build a comprehensive individual in learning English language. We expect that these findings can help students adjust their learning methods to improve their self-confidence as well as English speaking performance and by that way, universities can add more speaking-related subjects so that students can have more opportunities to speak and learn more speaking skills.  Article visualizations

    XGV-BERT: Leveraging Contextualized Language Model and Graph Neural Network for Efficient Software Vulnerability Detection

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    With the advancement of deep learning (DL) in various fields, there are many attempts to reveal software vulnerabilities by data-driven approach. Nonetheless, such existing works lack the effective representation that can retain the non-sequential semantic characteristics and contextual relationship of source code attributes. Hence, in this work, we propose XGV-BERT, a framework that combines the pre-trained CodeBERT model and Graph Neural Network (GCN) to detect software vulnerabilities. By jointly training the CodeBERT and GCN modules within XGV-BERT, the proposed model leverages the advantages of large-scale pre-training, harnessing vast raw data, and transfer learning by learning representations for training data through graph convolution. The research results demonstrate that the XGV-BERT method significantly improves vulnerability detection accuracy compared to two existing methods such as VulDeePecker and SySeVR. For the VulDeePecker dataset, XGV-BERT achieves an impressive F1-score of 97.5%, significantly outperforming VulDeePecker, which achieved an F1-score of 78.3%. Again, with the SySeVR dataset, XGV-BERT achieves an F1-score of 95.5%, surpassing the results of SySeVR with an F1-score of 83.5%
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