Insights into PCI and DDCI as Key Metrics for Measuring Subnational Competitiveness in Vietnam

The purpose of this study is to review and understand Vietnam’s measurement of competitiveness for its local authorities. This paper delves into the application of two fundamental metrics, namely the Provincial Competitiveness Index (PCI) and the Department and District Competitiveness Index (DDCI). As Vietnam continues its trajectory of rapid economic development and regional integration understanding the dynamics of competitiveness at subnational levels has great importance. Drawing upon an overview of the competitiveness concept, case study, and perspectives, the article provides a holistic understanding of subnational competitiveness metrics in Vietnam. Results offer valuable insights for policymakers, researchers, and stakeholders involved in subnational development strategies and economic governance frameworks in Vietnam and beyond. This study also indicates future opportunities and challenges within research on pillars/indices, indicators and their impacts on creating the ease of doing business at subnational level

Use of and attitudes towards herbal medicine during the COVID-19 pandemic: a cross-sectional study in Vietnam

IntroductionHerbal medicine has a long and rich history of practice in Vietnam. However, research on this topic is limited, especially in relation to the COVID-19 pandemic. This study aimed to explore (1) the prevalence and indication for herbal medicine use, (2) factors associated with herbal medicine use, and (3) people's attitude toward the herbal medicine within the Vietnamese population.MethodsA cross-sectional online survey was conducted in Vietnamese adults aged 18 years and older, distributed equally across the Northern, Central, and Southern regions of Vietnam, between September and October 2020. Descriptive statistics, chi-square tests, and univariate and multivariate logistic regression analyses were performed to achieve the study objectives.ResultsNearly half of the respondents reported using herbal medicine for common illnesses during the COVID-19 pandemic. The prevalence was strongly associated with marital status, urbanicity, monthly income, and health status perception. Ginger (Zingiber officinale Rosc.), honey (Mel), garlic (Allium sativum L.), and perilla (Perilla frutescens (L.) Britt.) were the most commonly used herbal medicines, mainly for the treatment of sore throat, cough, nasal congestion, and fever. Nearly 70% of the participants believed herbal medicines to be safe, to have less side effects than conventional medicines, and to be effective for minor health conditions.ConclusionThe use of herbal medicine during the COVID-19 pandemic was a common practice among Vietnamese people. These findings may have implications for future medical research in Vietnam, and for policy-makers and those in the pharmaceutical industry with regard to future regulations and product development

Ngu-Vi-Tieu-Khat decoction, a Vietnamese traditional medicine, possesses hypoglycemic and hypolipidemic effects on streptozotocin-induced type-2 diabetic rat model

This study aims to assess the hypoglycemic effects of Ngu-Vi-Tieu-Khat (NVTK) decoction, a traditional Vietnamese medicine, in a rat model of type-2 diabetes. The NVTK decoction was prepared using the maceration method and tested for its hypoglycemic effects by measuring blood glucose levels, insulin resistance indicators, and pancreatic mass. The results showed that NVTK decoction improved diabetes symptoms, increased insulin levels, reduced insulin resistance, restored pancreatic mass, and decreased total cholesterol (TC), triglycerides (TG) and low-density lipoprotein cholesterol (LDL-C) while increasing high-density lipoprotein cholesterol (HDL-C). The hypoglycemic effects of NVTK were comparable to those of gliclazide at a dose of 10 mg/kg. In conclusion, NVTK decoction possesses hypoglycemic properties and could be explored as a potential traditional medicine for treating type-2 diabetes in humans

In and Ga Codoped ZnO Film as a Front Electrode for Thin Film Silicon Solar Cells

Doped ZnO thin films have attracted much attention in the research community as front-contact transparent conducting electrodes in thin film silicon solar cells. The prerequisite in both low resistivity and high transmittance in visible and near-infrared region for hydrogenated microcrystalline or amorphous/microcrystalline tandem thin film silicon solar cells has promoted further improvements of this material. In this work, we propose the combination of major Ga and minor In impurities codoped in ZnO film (IGZO) to improve the film optoelectronic properties. A wide range of Ga and In contents in sputtering targets was explored to find optimum optical and electrical properties of deposited films. The results show that an appropriate combination of In and Ga atoms in ZnO material, followed by in-air thermal annealing process, can enhance the crystallization, conductivity, and transmittance of IGZO thin films, which can be well used as front-contact electrodes in thin film silicon solar cells

Study on total lipid content, lipid class composition of some fire and soft corals collected in Nha Trang, Vietnam

For the first time, the total lipid content and lipid class composition of  the Vietnamese soft corals (Sinularia brassica, Sinularia flexibilis) and fire corals (Millepora dichotoma, Millepora platyphylla) were investigated. The results indicated that the total lipid content of the investigated species was significantly different. Compositions of the lipid classes were analyzed using TLC and image analysis program Sorbfil TLC Videodensitometer DV and the results showed that phospholipids (PL, 10.91–16.02%), monoalkyldiacylglycerols (MADAG, 20.69-39.92%) and hydrocarbon wax (HW, 29.83-37.17%) were the main lipid classes of the total lipid in soft coral species. Meanwhile, PL (24.11-33.23%), TG (14.27–34.92%), ST (10.10–14.50%) and HW (12.08–19.95%) were predominant in fire coral species. ST, TG and FFA contents in soft and fire corals were at low level. DG was only present in the Sinularia flexibilis but not in other studied corals

TextANIMAR: Text-based 3D Animal Fine-Grained Retrieval

3D object retrieval is an important yet challenging task, which has drawn more and more attention in recent years. While existing approaches have made strides in addressing this issue, they are often limited to restricted settings such as image and sketch queries, which are often unfriendly interactions for common users. In order to overcome these limitations, this paper presents a novel SHREC challenge track focusing on text-based fine-grained retrieval of 3D animal models. Unlike previous SHREC challenge tracks, the proposed task is considerably more challenging, requiring participants to develop innovative approaches to tackle the problem of text-based retrieval. Despite the increased difficulty, we believe that this task has the potential to drive useful applications in practice and facilitate more intuitive interactions with 3D objects. Five groups participated in our competition, submitting a total of 114 runs. While the results obtained in our competition are satisfactory, we note that the challenges presented by this task are far from being fully solved. As such, we provide insights into potential areas for future research and improvements. We believe that we can help push the boundaries of 3D object retrieval and facilitate more user-friendly interactions via vision-language technologies.Comment: arXiv admin note: text overlap with arXiv:2304.0573

Oxidative Stress-Induced Silver Nano-Carriers for Chemotherapy

Recently, silver nanoparticles (AgNPs) have been extensively explored in a variety of biological applications, especially cancer treatment. AgNPs have been demonstrated to exhibit anti-tumor effects through cell apoptosis. This study intends to promote cell apoptosis further by increasing oxidative stress. AgNPs are encapsulated by biocompatible and biodegradable polyaspartamide (PA) (PA-AgNPs) that carries the anti-cancer drug Doxorubicin (Dox) to inhibit cancer cells primarily. PA-AgNPs have an average hydrodynamic diameter of 130 nm, allowing them to move flexibly within the body. PA-AgNPs show an excellent targeting capacity to cancer cells when they are conjugated to biotin. In addition, they release Dox efficiently by up to 88% in cancer environments. The DCFDA experiment demonstrates that the Dox-carried PA-AgNPs generate reactive oxidation species intensively beside 4T1 cells. The MTT experiment confirms that PA-AgNPs with Dox may strongly inhibit 4T1 cancer cells. Furthermore, the in vivo study confirms that PA-AgNPs with Dox successfully inhibit tumors, which are about four times smaller than the control group and have high biosafety that can be applied for chemotherapy

A Co-Optimization Algorithm Utilizing Particle Swarm Optimization for Linguistic Time Series

The linguistic time-series forecasting model (LTS-FM), which has been recently proposed, uses linguistic words of linguistic variable domains generated by hedge algebras (HAs) to describe historical numeric time-series data. Then, the LTS-FM was established by utilizing real numeric semantics of words induced by the fuzziness parameter values (FPVs) of HAs. In the existing LTS-FMs, just the FPVs of HAs are optimized, while the used word set is still chosen by human experts. This paper proposes a co-optimization method of selecting the optimal used word set that best describes numeric time-series data in parallel with choosing the best FPVs of HAs to improve the accuracy of LTS-FMs by utilizing particle swarm optimization (PSO). In this co-optimization method, the outer loop optimizes the FPVs of HAs, while the inner loop optimizes the used word set. The experimental results on three datasets, i.e., the “enrollments of the University of Alabama” (EUA), the “killed in car road accidents in Belgium” (CAB), and the “spot gold in Turkey” (SGT), showed that our proposed forecasting model outperformed the existing forecasting models in terms of forecast accuracy

Designing of concrete pavement expansion joints based on climate conditions of Vietnam

Main objective of this paper is to present ananalysis of necessity of providing expansion joints in the plain cement concrete pavement considering the climate and weather conditions of Vietnam. This study would help in the proper designing of expansion joints of highways and airport roads and thus can improve life span of cement concrete pavements to be constructed in Vietnam