Suchergebnisse

The article outlines literary achievements from the early 20th century to the present. Having reviewed typical authors and works, we divide the history of philology research into three periods: French studies, Russian studies, and Vietnamese studies. Focusing mainly on the Vietnamese study period, we conducted a survey of philologists under 70 years old with internationally published works in two groups - WoS/Scopus journals and Other journals - and have reached the following conclusions: 1. Domestically trained philologists have made international publications 4 times more than those who are trained abroad; 2. Due to the relatively high likelihood of publishing works internationally in quite a short time (focusing on more than 50 WoS/Scopus articles in the past 5 years), we propose the Ministry of Education and Training prescribe regulations in doctoral training, that is, supervisors and PhD students must have WoS/Scopus papers to further promote university and national rankings; and 3. The government needs to review the schemes for sending people to study abroad. In the field of philology, studying abroad hardly brings the expected effect, so instead, the Ministry of Education and Training could spend that amount of money to invest in strong philological research groups in the country. Supervisors should be responsible for training and sending their students to practice or study abroad, if necessary. ; Bài báo phác thảo thành tựu ngữ văn học từ đầu thế kỉ 20 đến nay. Qua các tác giả và công trình tiêu biểu, chúng tôi chia lịch sử nghiên cứu ngữ văn ra làm ba thời kì: Pháp học, Nga học và Việt học. Tập trung chủ yếu vào giai đoạn Việt học, chúng tôi lập bảng khảo sát các nhà nghiên cứu ngữ văn dưới 70 tuổi với các công trình công bố quốc tế thuộc hai nhóm: danh mục tạp chí WoS/Scopus và các tạp chí khác, để đi đến ba kết luận: 1. Các nhà nghiên cứu ngữ văn được đào tạo trong nước có công bố quốc tế nhiều gấp 4 lần số người được đào tạo nước ngoài. 2. Do khả năng công bố quốc tế khá tốt trong thời gian ngắn (tập trung khoảng 5 năm trở lại với hơn 50 bài WoS/Scopus) chúng tôi đề xuất Bộ Giáo dục và Đào tạo quy định trong đào tạo tiến sĩ, người hướng dẫn và nghiên cứu sinh phải có bài báo WoS/Scopus để đẩy mạnh hơn việc thăng hạng thứ bậc đại học và quốc gia. 3. Chính phủ cần xem lại các đề án cử người đi học nước ngoài. Với ngành ngữ văn, việc học nước ngoài hầu như không mang lại hiệu quả như mong đợi, Bộ Giáo dục và Đào tạo nên dành kính phí đó để đầu tư vào các nhóm nghiên cứu ngữ văn mạnh trong nước. Giáo sư hướng dẫn chịu trách nhiệm đào tạo và gửi NCS đi thực tập hoặc nghiên cứu ở nước ngoài, nếu cần thiết.

Due to the alarming rate of climate change, fuel consumption and emission estimates are critical in determining the effects of materials and stringent emission control strategies. In this research, an analytical and predictive study has been conducted using the Government of Canada dataset, containing 4973 light-duty vehicles observed from 2017 to 2021, delivering a comparative view of different brands and vehicle models by their fuel consumption and carbon dioxide emissions. Based on the findings of the statistical data analysis, this study makes evidence-based recommendations to both vehicle users and producers to reduce their environmental impacts. Additionally, Convolutional Neural Networks (CNN) and various regression models have been built to estimate fuel consumption and carbon dioxide emissions for future vehicle designs. This study reveals that the Univariate Polynomial Regression model is the best model for predictions from one vehicle feature input, with up to 98.6% accuracy. Multiple Linear Regression and Multivariate Polynomial Regression are good models for predictions from multiple vehicle feature inputs, with approximately 75% accuracy. Convolutional Neural Network is also a promising method for prediction because of its stable and high accuracy of around 70%. The results contribute to the quantifying process of energy cost and air pollution caused by transportation, followed by proposing relevant recommendations for both vehicle users and producers. Future research should aim towards developing higher performance models and larger datasets for building APIs and applications.

Intro -- Preface -- Contents -- About the Authors -- Abbreviations -- Chapter 1: Overview of Flash Floods -- 1.1 Introduction -- 1.2 The Necessity of Flash Flood Knowledge -- 1.3 Objective of the Study -- 1.4 Contents of the Study -- 1.5 Application Range -- 1.6 Benefits of Flash Flood Research -- 1.7 Situation of Flash Flood Research -- Chapter 2: Knowledge of Flash Floods and Related Problems -- 2.1 Concept -- 2.1.1 General Awareness -- 2.1.2 Distinguishing a Flash Flood from a Normal Flood -- 2.2 Description -- 2.3 Flash Floods in the World and Vietnam -- 2.3.1 World Flash Floods -- 2.3.2 Vietnam Flash Floods -- 2.4 Cause of Flash Flood -- 2.4.1 Natural Cause of Flash Flood Formation -- 2.4.2 Causes of the Short-Comings and Inadequacies -- 2.4.3 Cause from Human Impacts -- 2.5 Why do Flash Floods Cause Great Catastrophes? -- 2.6 The Main Stages of Flash Flood Formation -- 2.7 Basic Feature of Flash Flood -- 2.8 Classification of Flash Floods -- 2.9 The Basic Criteria to Identify Flash Floods -- 2.10 Environment Impact Assessment of Flash Floods -- 2.10.1 Natural Environment -- 2.10.2 Socio-Humanist Environment -- 2.10.3 Analyze and Forecast the Environmental Impacts -- 2.10.3.1 Impact on Natural Factors -- 2.10.3.2 Impact on Socio-Economy -- 2.11 Signs for Flash Flood Prediction -- Chapter 3: Collection & -- Investigation on Flash Flood Characteristics (Case Study: Dak Lak Province) -- 3.1 Resources & -- Natural Condition -- 3.1.1 Geographical Location -- 3.1.2 Topography -- 3.1.2.1 Mountainous Terrain (of Great Interest, Especially Geomorphology) -- 3.1.2.2 Highland Terrain -- 3.1.2.3 Ea Soup Semi-Plateau Terrain -- 3.1.2.4 The Topography of Krông Pach - Lăk Low-Land -- 3.1.3 Land Resource -- 3.1.3.1 Alluvial Soil Group (Fulvisols) -- 3.1.3.2 Gley Soil Group (Gleysols) -- 3.1.3.3 Grey Soil Group (Acrisols).

Abstract
Whether the stay-at-home order and face mask mandate are effective in slowing down the COVID-19 virus transmission is up for debate. To investigate this matter, we employ a unique angle. A two-wave logistic equation is proposed and then fitted to the cumulative case counts of all 50 states in the U.S. from the onset to early December of 2020 when vaccinating begins at large scale. The data period is confined to isolate the effects of executive orders from that of vaccination. The length of the first wave's accelerating phase is regressed on variables describing the stay-at-home order and face mask mandate, along with control variables. A state's lockdown duration is discovered to be negatively related to the time it takes for the virus to transit from accelerating to decelerating rates. This finding provides statistical support to the executive orders and can be useful in guiding risk management of future pandemics.

Greenhouse gas emissions from rice production have been identified as a key mitigation focus for Vietnam to meet its Nationally Determined Contributions committed to the Paris Agreement. Shifting to a production landscape that adopts Alternate Wetting and Drying (AWD), which refer to the practice wherein fields are intermittently drained and allowed to dry before being flooded again, can reduce emissions from rice production by 50%. This practice was selected by stakeholders as a priority for scaling out. The study presented here analyzed the process of government coordination and the roles of farmer cooperative groups and private industry pertaining to contract farming as a vehicle for out-scaling AWD. Government officials at the national and provincial level, as well as representatives from private industry and farmer cooperatives, were interviewed to identify enabling factors and limitations to coordination. To further assess the scaling potential of AWD, this study determined the barriers to scaling out as perceived by different actors in the rice value chain and provided recommendations as ways forward. The end goal of this study was to collaborate with the government of Vietnam to combine its findings with data collected from parallel studies in co-designing an implementation framework. The framework, in turn, would guide Vietnam's rice-related mitigation strategy to meet the 2030 emission reductions that the country pledged to the Paris Agreement.

The World Bank has been assisting the Government of Viet Nam (GoVN), through the National Traffic Safety Committee (NTSC), to establish a National Road Safety Observatory (NRSO) for Viet Nam, improve road safety data systems, and update the National Road Safety Strategy and Action Plan for Viet Nam. Input to the updated national strategy observed that there is insufficient attention given to the overall results framework (beyond simply the number of fatalities and serious injuries) that is required to achieve significant and sustainable reductions in serious road trauma. This reflects a need to strengthen both national governance and leadership arrangements for road safety, and road safety data systems (including road crash data systems), which are the focus of this report.

Measurement artifacts, including measurement errors and scale-specific factors, distort observed correlations between measures of psychological and organizational constructs. The authors discuss two alternative procedures, one using the generalized coefficient of equivalence and stability (GCES) and one based on structural equation modeling, to correct for the biasing effect of measurement artifacts in order to estimate construct-level relationships. Assumptions underlying the procedures are discussed and the degrees of biases resulting from violating the assumptions are examined by means of Monte Carlo simulation. They then propose an approach using cumulative knowledge in the literature about properties of measures of a construct to estimate the GCES. That approach can allow researchers to estimate relationships between constructs in most research situations. The authors apply the approach to estimate the GCES for overall job satisfaction, an important organizational construct.