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Ho, Nhu Thuy,Van Tam, Tran,Tien, Huynh Ngoc,Jang, Se-Jeong,Nguyen, Tri Khoa,Choi, Won Mook,Cho, Shinuk,Kim, Yong Soo American Scientific Publishers 2017 Journal of Nanoscience and Nanotechnology Vol.17 No.8
<P>The solution-processed intermediate layer (IML), which physically and electrically connects two subcells, is critical in the fabrication of efficient organic tandem solar cells. Several studies have examined solution-processed electron transport materials that can be used as n-type layers in the IML. On the other hand, forming an Ohmic contact for holes is limited by the choice of an aqueous-based hole transport layer (HTL) material except for PEDOT:PSS or vacuum evaporating materials. Here, this paper reports highly transparent and solution-processable nitrogen-doped graphene quantum dots (N-GQDs) as an efficient HTL in the IML. Using an IML based on N-GQDs/PEI, the present P3HT:PCBM tandem device showed a slight improvement in the fill factor (10%) and efficiency (15%) compared to the devices using the PEDOT: PSS/PEI-based junction. The optimal tandem cells with N-GQDs showed a double open-circuit voltage of 1.16 V, short-circuit current density of 5.80 mA/cm(2), fill factor of 0.55, and power conversion efficiency of 3.69% under AM 1.5G solar irradiation. This result thus makes a start on the use of functional graphene quantum dots in organic tandem solar cells.</P>
Thanh-Cong Do,양형정(Hyung Jeong Yang),Ngoc-Huynh Ho 한국스마트미디어학회 2021 스마트미디어저널 Vol.10 No.2
Sepsis is one of the leading causes of mortality globally, and it costs billions of dollars annually. However, treating septic patients is currently highly challenging, and more research is needed into a general treatment method for sepsis. Therefore, in this work, we propose a reinforcement learning method for learning the optimal treatment strategies for septic patients. We model the patient physiological time series data as the input for a deep recurrent Q-network that learns reliable treatment policies. We evaluate our model using an off-policy evaluation method, and the experimental results indicate that it outperforms the physicians’ policy, reducing patient mortality up to 3.04%. Thus, our model can be used as a tool to reduce patient mortality by supporting clinicians in making dynamic decisions.
Mental Health Among Healthcare Workers During the COVID-19 Pandemic in Vietnam
Nhan Phuc Thanh Nguyen,Ha Phan Ai Nguyen,Cao Khoa Dang,Minh Tri Phan,Huynh Ho Ngoc Quynh,Van Tuan Le,Chinh Van Dang,Tinh Huu Ho,Van Trong Phan,Van Trong Phan,Thang Phan,Dang Thi Anh Thu 대한예방의학회 2024 예방의학회지 Vol.57 No.1
Objectives: The objective of this study was to characterize mental health issues among Vietnamese healthcare workers (HCWs) and to identify related factors.Methods: A cross-sectional study was conducted with 990 HCWs in 2021. Their mental health status was measured using the Depression, Anxiety, and Stress Scale.Results: In total, 49.9%, 52.3%, and 29.8% of respondents were found to have depression, anxiety, and stress, respectively. The multivariable linear regression model revealed that factors associated with increased anxiety scores included depression scores (β, 0.45; 95% confidence interval [CI], 0.39 to 0.51) and stress scores (β, 0.46; 95% CI, 0.41 to 0.52). Factors associated with increased depression scores included being frontline HCWs (β, 0.57; 95% CI, 0.10 to 1.10), stress scores (β, 0.50; 95% CI, 0.45 to 0.56), and anxiety scores (β, 0.41; 95% CI, 0.36 to 0.47), while working experience was associated with reduced depression scores (β, -0.08; 95% CI, -0.16 to -0.01). Factors associated with increased stress scores included working experience (β, 0.08; 95% CI, 0.00 to 0.16), personal protective equipment interference with daily activities (β, 0.55; 95% CI, 0.07 to 1.00), depression scores (β, 0.54; 95% CI, 0.48 to 0.59), and anxiety scores (β, 0.45; 95% CI, 0.39 to 0.50), while age was associated with reduced stress scores (β, -0.12; 95% CI, -0.20 to -0.05).Conclusions: Specific interventions are necessary to enhance and promote the mental health of HCWs so they can successfully cope with the circumstances of the pandemic.