The objective of this study was to estimate the direct costs of diabetes treatment from the payer's perspective and to identify factors related to costs of patients in central region of Vietnam. A cross-sectional descriptive study, and a method of estimating disease costs, were conducted on 1059 diabetes patients being treated at Cam Le District Health Center – Danang city and Hue city Health Center, from January 2022 to April 2023.
Đánh giá thực trạng quản lý sử dụng thiết bị tại Bệnh viện 199, Bộ Công an năm 2024 và một số yếu tố ảnh hưởng. Nghiên cứu mô tả cắt ngang kết hợp định lượng và định tính, quan sát ngẫu nhiên 40 thiết bị y tế tại 20 khoa lâm sàng và cận lâm sàng, đồng thời phỏng vấn sâu cán bộ quản lý và nhân viên vận hành.
Đánh giá động lực làm việc của nhân viên y tế Bệnh viện Mắt TP. Đà Nẵng, từ đó làm cơ sở tham mưu cho lãnh đạo bệnh viện trong công tác quản lý bệnh viện.
The current study examined metadiscursive devices in EMI lectures conducted by a non-native English-speaking lecturer at
Duy Tan University, a notable private university in central Vietnam, using the taxonomy developed by Dafouz & Perucha
(2010). It was found that many MDs are employed in three different phases in their EMI classes, including: Discourse
structuring, Interaction and Conclusion phases, aiming to improve the effectiveness of the lectures.
This paper presents the algorithms for training an artificial neural network (ANN) for regression analysis; the algorithm is based on the generalized delta rule. The training method of a simple neuron model and an ANN model are presented and generalized. The models are then programed in Visual C# .NET and applied to predict the compressive strength of concrete mixes. Three datasets, collected from the literature, are used to demonstrate the applications of the models.
The aim of this study is to assess the performance and the efficiency of the aviation industry in the Asia-Pacific region through two-stage Data Envelopment Analysis (DEA). In the first stage, the relative efficiency was measured through a Window model in DEA. Then, at the second stage, the efficiency improvement was examined by the Malmquist Productivity Index (MPI).
To investigate how the incident angle of microwaves affects the microwave absorption properties of SrFe12-xCux/2Cox/2TixO19 samples, the RL curves with the different microwave incident angles were carefully simulated for two different polarization modes: transverse electric (TE) and transverse magnetic (TM).
This paper uses XGBoost to predict bearing capacity of concrete piles. The proposed model is trained and tested against
a dataset of 472 samples collected from static load tests in Vietnam. The results indicate that the default XGBoost model consistently outperforms the Deep Neural Network (DNN) regression. XGBoost is a suitable tool for engineers to predict pile bearing capacity.
This article presents the method for training a deep artificial neural network (DANN) for regression analysis; this method is based on the generalized delta rule. To illustrate the rule, a DANN with two hidden layers is used. The model’s construction is described in the form of mathematical equations. Subsequently, a DANN program is written in Visual C# .NET. This program is tested with the task of estimating the shear strength of soil samples.
