EFFECTS OF SOURCE DOPING PROFILE ON DEVICE CHARACTERISTICS OF LATERAL AND VERTICAL TUNNEL FIELD-EFFECT TRANSISTORS

The source doping engineering, the low bandgap material and the vertical tunneling structure have recently been considered as most effective techniques to resolve the on-current issue in tunnel field-effect transistors (TFETs). In this paper, the effects of source doping profile, including the concentration and gradient, on the device characteristics are adequately elucidated in lateral and vertical TFETs using low bandgap germanium to allow a comprehensive comparison between the two major TFET architectures for the first time. Similar dependences of the on-current on the source concentration are observed in lateral and vertical TFETs, except that the on-current of vertical TFETs is always greater than that of lateral TFETs approximately one order of magnitude. With different contributions of the lateral and vertical tunneling components in the subthreshold region, the subthreshold swing of vertical TFETs first decreases at small concentrations, then increases at medium values, and finally decreases again at high concentrations, whereas that of lateral counterparts always decreases exponentially with increase in the source concentration. The on-current of lateral TFETs is significantly decreased, while that of vertical TFETs is almost invariable with increasing the source doping gradient. With competitive advantages of the vertical TFET architecture in on-current, subthreshold swing and device fabrication, vertical TFETs using low bandgap semiconductors are promising for use in low power applications

Building a Relationship Between Vocational Training Institutions and Enterprises in Vietnam in the Integration Period

In recent years, with the policy of international economic integration of Vietnamese government, vocational training has made many positive changes. The quality and efficiency of vocational training have been improved and trained workers have participated in almost all sectors of the national economy. The effective cooperation model between the vocational training institution (the schools) and the enterprises is the key for this sucess. We used both qualitative and quantitative approaches for analysis data. The results of descriptive statistics, Cronbach’s Alpha analysis have identified and measured 7 attributes of building a relationship between vocational training institutions and enterprises. The paper discusses the relationship between the schools and enterprises in vocational training in Vietnam and make some recommendations for effectively enhancing this relationship in the coming time. Keywords: vocational training, schools, businessess, relationships DOI: 10.7176/JEP/11-12-06 Publication date: April 30th 202

OPORTUNIDADES E DESAFIOS DA TRANSFORMAÇÃO DIGITAL NA EDUCAÇÃO NO DESASTRE DE COVID NO VIETNÃ

Coronavirus affects the education system in the world. Schools, colleges, and universities are closed to control the spread of the coronavirus. School closure brings difficulties for students, teachers, and parents. So, online learning is a solution to continue the education system. However, the lack of network infrastructures, computers, and internet access is challenging. This paper aims to review the impact of the COVID-19 pandemic on the education and status of digital transformation in education in Vietnam. Verify the opportunities and challenges in the digital transformation in education and recommend some issues that need to do be concerned to promote the transformation process in education in Vietnam.O coronavírus afeta o sistema educacional no mundo. Escolas, faculdades e universidades são fechadas para controlar a disseminação do coronavírus. O fechamento de escolas traz dificuldades para alunos, professores e pais. Portanto, o aprendizado online é uma solução para dar continuidade ao sistema educacional. No entanto, a falta de infraestruturas de rede, computadores e acesso à Internet é um desafio. Este artigo tem como objetivo revisar o impacto da pandemia COVID-19 sobre a educação e a situação da transformação digital na educação no Vietnã. Verifique as oportunidades e desafios na transformação digital na educação e recomende algumas questões que precisam se preocupar para promover o processo de transformação na educação no Vietnã

Awareness and preparedness of healthcare workers against the first wave of the COVID-19 pandemic: A cross-sectional survey across 57 countries.

BACKGROUND: Since the COVID-19 pandemic began, there have been concerns related to the preparedness of healthcare workers (HCWs). This study aimed to describe the level of awareness and preparedness of hospital HCWs at the time of the first wave. METHODS: This multinational, multicenter, cross-sectional survey was conducted among hospital HCWs from February to May 2020. We used a hierarchical logistic regression multivariate analysis to adjust the influence of variables based on awareness and preparedness. We then used association rule mining to identify relationships between HCW confidence in handling suspected COVID-19 patients and prior COVID-19 case-management training. RESULTS: We surveyed 24,653 HCWs from 371 hospitals across 57 countries and received 17,302 responses from 70.2% HCWs overall. The median COVID-19 preparedness score was 11.0 (interquartile range [IQR] = 6.0-14.0) and the median awareness score was 29.6 (IQR = 26.6-32.6). HCWs at COVID-19 designated facilities with previous outbreak experience, or HCWs who were trained for dealing with the SARS-CoV-2 outbreak, had significantly higher levels of preparedness and awareness (p<0.001). Association rule mining suggests that nurses and doctors who had a 'great-extent-of-confidence' in handling suspected COVID-19 patients had participated in COVID-19 training courses. Male participants (mean difference = 0.34; 95% CI = 0.22, 0.46; p<0.001) and nurses (mean difference = 0.67; 95% CI = 0.53, 0.81; p<0.001) had higher preparedness scores compared to women participants and doctors. INTERPRETATION: There was an unsurprising high level of awareness and preparedness among HCWs who participated in COVID-19 training courses. However, disparity existed along the lines of gender and type of HCW. It is unknown whether the difference in COVID-19 preparedness that we detected early in the pandemic may have translated into disproportionate SARS-CoV-2 burden of disease by gender or HCW type

Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools

Abstract Background Dengue is a common viral illness and severe disease results in life-threatening complications. Healthcare services in low- and middle-income countries treat the majority of dengue cases worldwide. However, the clinical decision-making processes which result in effective treatment are poorly characterised within this setting. In order to improve clinical care through interventions relating to digital clinical decision-support systems (CDSS), we set out to establish a framework for clinical decision-making in dengue management to inform implementation. Methods We utilised process mapping and task analysis methods to characterise existing dengue management at the Hospital for Tropical Diseases, Ho Chi Minh City, Vietnam. This is a tertiary referral hospital which manages approximately 30,000 patients with dengue each year, accepting referrals from Ho Chi Minh city and the surrounding catchment area. Initial findings were expanded through semi-structured interviews with clinicians in order to understand clinical reasoning and cognitive factors in detail. A grounded theory was used for coding and emergent themes were developed through iterative discussions with clinician-researchers. Results Key clinical decision-making points were identified: (i) at the initial patient evaluation for dengue diagnosis to decide on hospital admission and the provision of fluid/blood product therapy, (ii) in those patients who develop severe disease or other complications, (iii) at the point of recurrent shock in balancing the need for fluid therapy with complications of volume overload. From interviews the following themes were identified: prioritising clinical diagnosis and evaluation over existing diagnostics, the role of dengue guidelines published by the Ministry of Health, the impact of seasonality and caseload on decision-making strategies, and the potential role of digital decision-support and disease scoring tools. Conclusions The study highlights the contemporary priorities in delivering clinical care to patients with dengue in an endemic setting. Key decision-making processes and the sources of information that were of the greatest utility were identified. These findings serve as a foundation for future clinical interventions and improvements in healthcare. Understanding the decision-making process in greater detail also allows for development and implementation of CDSS which are suited to the local context

Awareness and preparedness of healthcare workers against the first wave of the COVID-19 pandemic: A cross-sectional survey across 57 countries

BACKGROUND: Since the COVID-19 pandemic began, there have been concerns related to the preparedness of healthcare workers (HCWs). This study aimed to describe the level of awareness and preparedness of hospital HCWs at the time of the first wave. METHODS: This multinational, multicenter, cross-sectional survey was conducted among hospital HCWs from February to May 2020. We used a hierarchical logistic regression multivariate analysis to adjust the influence of variables based on awareness and preparedness. We then used association rule mining to identify relationships between HCW confidence in handling suspected COVID-19 patients and prior COVID-19 case-management training. RESULTS: We surveyed 24,653 HCWs from 371 hospitals across 57 countries and received 17,302 responses from 70.2% HCWs overall. The median COVID-19 preparedness score was 11.0 (interquartile range [IQR] = 6.0-14.0) and the median awareness score was 29.6 (IQR = 26.6-32.6). HCWs at COVID-19 designated facilities with previous outbreak experience, or HCWs who were trained for dealing with the SARS-CoV-2 outbreak, had significantly higher levels of preparedness and awareness (p<0.001). Association rule mining suggests that nurses and doctors who had a 'great-extent-of-confidence' in handling suspected COVID-19 patients had participated in COVID-19 training courses. Male participants (mean difference = 0.34; 95% CI = 0.22, 0.46; p<0.001) and nurses (mean difference = 0.67; 95% CI = 0.53, 0.81; p<0.001) had higher preparedness scores compared to women participants and doctors. INTERPRETATION: There was an unsurprising high level of awareness and preparedness among HCWs who participated in COVID-19 training courses. However, disparity existed along the lines of gender and type of HCW. It is unknown whether the difference in COVID-19 preparedness that we detected early in the pandemic may have translated into disproportionate SARS-CoV-2 burden of disease by gender or HCW type

Multimodal analysis of methylomics and fragmentomics in plasma cell-free DNA for multi-cancer early detection and localization

Despite their promise, circulating tumor DNA (ctDNA)-based assays for multi-cancer early detection face challenges in test performance, due mostly to the limited abundance of ctDNA and its inherent variability. To address these challenges, published assays to date demanded a very high-depth sequencing, resulting in an elevated price of test. Herein, we developed a multimodal assay called SPOT-MAS (screening for the presence of tumor by methylation and size) to simultaneously profile methylomics, fragmentomics, copy number, and end motifs in a single workflow using targeted and shallow genome-wide sequencing (~0.55×) of cell-free DNA. We applied SPOT-MAS to 738 non-metastatic patients with breast, colorectal, gastric, lung, and liver cancer, and 1550 healthy controls. We then employed machine learning to extract multiple cancer and tissue-specific signatures for detecting and locating cancer. SPOT-MAS successfully detected the five cancer types with a sensitivity of 72.4% at 97.0% specificity. The sensitivities for detecting early-stage cancers were 73.9% and 62.3% for stages I and II, respectively, increasing to 88.3% for non-metastatic stage IIIA. For tumor-of-origin, our assay achieved an accuracy of 0.7. Our study demonstrates comparable performance to other ctDNA-based assays while requiring significantly lower sequencing depth, making it economically feasible for population-wide screening