ackground: In Vietnam, chronic kidney disease (CKD) is becoming a major problem with an estimated six million people having the disease due to the rise in diabetes and hypertension. Due to the COVID-19 pandemic, the Ministry of Health took swift action to limit the referral of people with chronic diseases to city-based healthcare services to protect this highly vulnerable group. Thus, providing a mobile support program for kidney health is extremely important to provide alternative healthcare and support access. Methods/ design:The Smart Kidney Health Support program is a telehealth program aiming to provide information/ updated guidelines and support for CKD, treatments, dietary, exercises, and mental wellness for people with CKD. This Smart Kidney program will be designed and developed as a mobile application. The program development consists of two phases: Phase 1 is the development of a mobile app tool using codesign methods; Phase 2 is to pilot this mobile-based program in which the feasibility and acceptability of the program will be evaluated. Conclusion:The expected outcome of this project is to have a comprehensive, hands-on, and innovative mobile health support program to support and assist people with CKD in Vietnam to better self-manage their disease, treatments, and lifestyle.
Employing the dynamic panel model, this study tests the validity of Gibrat’s law and investigates determinants of firm growth in Vietnam. The empirical study is set up for both simple and multiple regressions with the data of the commercial-service sector. The balanced panel dataset used in this paper is abstracted from the National Census of Vietnamese Enterprises during the period 2000-2007. Applying the system GMM estimator to control unobserved heterogeneity and endogeneity, the findings imply that Gibrat’s Law should be rejected. The results confirm the sen- sitivity of the growth-size relationship to firm attributes. Besides, firm size and labor quality are the main determinants of firm growth.
Photoelectrochemical water splitting is of great attention due to its environmentally friendly generation of clean fuels. Hematite (α-Fe2O3) is considered a promising candidate due to its intrinsic properties for the high-performance photoelectrochemical electrode, such as favorable bandgap (2.0–2.2 eV), a suitable energy band position non-toxicity, low cost, and excellent chemical stability. Herein, we report about Sn-doped hematite nanorods and their implementation as photoanodes for photoelectrochemical water splitting. We provide the simple but efficient route to incorporate the Sn into the hematite without structural damage in the nanostructure and scrutinize the effect of Sn dopant on the photoelectrochemical activity of the hematite. Sn can be successfully incorporated into the hematite by the two-step heat treatment process, which reveals the enhanced photoelectrochemical responses compared with undoped hematite. We elaborate on the effect of Sn dopant in the hematite on the photoelectrochemical activities, thereby suggesting the optimum concentration of Sn dopant.
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