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  • 11
    Online Resource
    Online Resource
    CÁC TRƯỜNG ĐẠI HỌC ĐỊA PHƯƠNG TRONG CÔNG TÁC ĐÀO TẠO GIÁO VIÊN PHỔ THÔNG ĐÁP ỨNG YÊU CẦU GIÁO DỤC STEM
    Tap chi Khoa hoc, Dai hoc Tan Trao ; 2023
    In:  SCIENTIFIC JOURNAL OF TAN TRAO UNIVERSITY Vol. 9, No. 2 ( 2023-04-14)
    Details
    In: SCIENTIFIC JOURNAL OF TAN TRAO UNIVERSITY, Tap chi Khoa hoc, Dai hoc Tan Trao, Vol. 9, No. 2 ( 2023-04-14)
    Abstract: Một trong những nội dung cốt lõi của đổi mới toàn diện giáo dục phổ thông là vấn đề đổi mới chương trình giáo dục theo hướng giảm lý thuyết và tăng cường thực hành, trải nghiệm. Với thế mạnh về thực hành và trải nghiệm, giáo dục STEM đóng vai trò không nhỏ trong việc hiện thực hóa mục tiêu này. Tuy nhiên, để triển khai giáo dục STEM thì giáo viên phổ thông cần hiểu được bản chất của STEM và có năng lực cần thiết. Điều này đặt ra yêu cầu cho các cơ sở đào tạo giáo viên phổ thông trong cả nước, trong đó có các trường đại học địa phương với sứ mệnh đào tạo nguồn nhân lực phục vụ đặc thù địa phương, cần đi trước một bước. Trên cơ sở tổng quan dữ liệu thứ cấp và điều tra thực tế, nghiên cứu giới thiệu khái quát về giáo dục STEM và các yêu cầu đặt ra để đáp ứng khả năng đào tạo giáo viên STEM, phân tích thực trạng các trường đại học địa phương và đưa ra các giải pháp nhằm cải tiến công tác đào tạo giáo viên phổ thông đáp ứng yêu cầu giáo dục STEM.
    Type of Medium: Online Resource
    ISSN: 2354-1431
    URL: Article
    DOI: 10.51453/2354-1431/2023/930
    Language: Unknown
    Publisher: Tap chi Khoa hoc, Dai hoc Tan Trao
    Publication Date: 2023
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  • 12
    Online Resource
    Online Resource
    PHÂN TÍCH THỰC TRẠNG KÊ ĐƠN DỰA TRÊN BẰNG CHỨNG Ở CÁC BỆNH NHÂN SUY TIM TÂM THU TRONG CHƯƠNG TRÌNH QUẢN LÝ NGOẠI TRÚ TẠI BỆNH VIỆN TIM HÀ NỘI
    Vietnam Medical Journal, Vietnam Medical Association ; 2022
    In:  Tạp chí Y học Việt Nam Vol. 509, No. 1 ( 2022-01-12)
    Details
    In: Tạp chí Y học Việt Nam, Vietnam Medical Journal, Vietnam Medical Association, Vol. 509, No. 1 ( 2022-01-12)
    Abstract: Mục tiêu: hướng dẫn điều trị của Bộ Y tế và Hội tim mạch nhấn mạnh vai trò của việc kê đơn thuốc dựa trên bằng chứng trên bệnh nhân suy tim tâm thu. Mặc dù vậy, nghiên cứu trong thực tế cho thấy mức độ tuân thủ còn thấp. Do đó, nghiên cứu này được thực hiện nhằm phân tích thực trạng kê đơn dựa trên bằng chứng ở các bệnh nhân suy tim tâm thu trong chương trình quản lý ngoại trú tại bệnh viện Tim Hà Nội. Đối tượng và phương pháp nghiên cứu: Nghiên cứu mô tả, cắt ngang trên 134 bệnh nhân suy tim tâm thu tái khám định kỳ đủ 12 tháng trong năm 2018. Thông tin về lâm sàng, cận lâm sàng, phác đồ điều trị được ghi nhận dựa trên bệnh án ngoại trú. Chống chỉ định, liều đích của ACEI/ARB và BB được đánh giá dựa trên hướng dẫn điều trị suy tim của Bộ Y tế 2020 và Hội tim mạch châu Âu 2016. Kết quả nghiên cứu: Tỷ lệ đơn kê phối hợp thuốc ACEI/ARB và BB theo khuyến cáo là 92,5%. Tuy nhiên, chỉ có 17,2% và 23,1% bệnh nhân được tiếp nối cùng 1 thuốc ACEI/ARB và BB trong suốt 12 tháng. Nghiên cứu cho thấy thay đổi bác sĩ ở các lần tái khám làm giảm tính tiếp nối trong kê đơn (p 〈 0,001). Không có bệnh nhân nào được kê liều đích thuốc ACEI/ARB hoặc BB. Mặc dù vậy, 84,0 – 88,3% bệnh nhân đủ điều kiện để tăng liều ACEI/ARB và BB. Kết luận: liều các thuốc ACEI/ARB và BB nên được tăng dần đến liều đích hoặc liều tối đa dung nạp để giảm nguy cơ tử vong và nhập viện do suy tim.
    Type of Medium: Online Resource
    ISSN: 1859-1868
    URL: Article
    DOI: 10.51298/vmj.v509i1.1733
    Language: Unknown
    Publisher: Vietnam Medical Journal, Vietnam Medical Association
    Publication Date: 2022
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  • 13
    Online Resource
    Online Resource
    A Preliminary Study of Spark-Ignition System for Free-Piston Linear Engine
    Ho Chi Minh City University of Technology and Education ; 2023
    In:  Journal of Technical Education Science , No. 75A ( 2023-02-28), p. 61-68
    Details
    In: Journal of Technical Education Science, Ho Chi Minh City University of Technology and Education, , No. 75A ( 2023-02-28), p. 61-68
    Abstract: In recent years, the free-piston linear engine (FPLE) has attracted increasing interest from researchers worldwide. With the development of computer control technology, internal combustion engine technology, and material science, there have been significant advances in the aspects of FPLE simulation, experimental techniques, as well as systems FPLE control. This paper presents a model of a two-stroke, spark-ignition free-piston engine converted from two small two-stroke engines. It has a bore size of 34 mm and a maximum stroke of 28 mm. The linear engine uses gasoline fuel that is available on the market. The purposes of the research show a model of the starting system, investigation the effects of spark timing, and effective pressure. A premixed air-fuel charge is conducted by a carburetor then it is directly supplied into each cylinder. The spark timing was varied at 1 mm and 2 mm away from the maximum top dead center with the speed starting at 10 Hz. The model successfully ignited with a maximum pressure of 7.5 kg/cm2 at the ignition of 1 mm before top dead center (TDC) and 9.5 kg/cm2 at the ignition of 2 mm before TDC. The research has completed the initial intentions such as a theoretical investigation, calculation, determination of the engine model, and starting mechanism. Preliminary results have confirmed the feasibility of proposing the FPLE model.
    Type of Medium: Online Resource
    ISSN: 2615-9740
    URL: Article
    DOI: 10.54644/jte.75A.2023.1281
    Language: Unknown
    Publisher: Ho Chi Minh City University of Technology and Education
    Publication Date: 2023
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  • 14
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    Online Resource
    Development and application of hybrid artificial intelligence models for groundwater potential mapping and assessment
    Publishing House for Science and Technology, Vietnam Academy of Science and Technology (Publications) ; 2022
    In:  Vietnam Journal of Earth Sciences ( 2022-06-24)
    Details
    In: Vietnam Journal of Earth Sciences, Publishing House for Science and Technology, Vietnam Academy of Science and Technology (Publications), ( 2022-06-24)
    Abstract: Groundwater potential assessment is essential for optimum utilization and recharge of groundwater resources for the proper development and management of an area. The main aim of this study is to develop an accurate groundwater potential map of the Dak Nong Province (Vietnam) using hybrid artificial intelligence models, which are a combination of Random Forest (RF) and its Ensemble Framework (AdaBoost - ABRF, Bagging - BRF and LogitBoost - LBRF). In this study, twelve conditioning factors, namely topography (aspect, elevation, Topographic Wetness Index - TWI, slope, and curvature), hydrology (infiltration and river density, rainfall, Sediment Transport Index - STI, Stream Power Index - SPI), land use, and soil were used to develop the models. Well, yield data was also utilized to develop and validate potential groundwater zones. One Rule (R) feature selection method was utilized to prioritize the importance of groundwater potential affecting parameters. The results indicated that the Average Merit (AM) of the rainfall factor was the highest (68.039), and river density was the lowest (53,969). Performance evaluation of ML models was done using standard statistical indicators, including Area Under the Receiver Operating Characteristic (ROC) curve (AUC). The results showed that all the four models performed well in the training (AUC ≥ 0.967) and testing (AUC ≥ 0.734) phases, but the performance of the ABRF (AUC=0.992) model is the best in the training phase, whereas LBRF is the best in the testing phase (AUC=0.776). The present model study would be helpful in the proper groundwater potential assessment and management of groundwater resources for sustainable development.  
    Type of Medium: Online Resource
    ISSN: 2615-9783 , 2615-9783
    URL: Article
    DOI: 10.15625/2615-9783/17240
    Language: Unknown
    Publisher: Publishing House for Science and Technology, Vietnam Academy of Science and Technology (Publications)
    Publication Date: 2022
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  • 15
    Online Resource
    Online Resource
    DAILY STREAMFLOW FORECASTING USING EXTREME LEARNING MACHINE AND OPTIMIZATION ALGORITHM. CASE STUDY: A RIVER IN VIETNAM
    Asociatia Geograhia Technica ; 2022
    In:  Geographia Technica Vol. 17, No. 2/2022 ( 2022-10-14), p. 148-163
    Details
    In: Geographia Technica, Asociatia Geograhia Technica, Vol. 17, No. 2/2022 ( 2022-10-14), p. 148-163
    Type of Medium: Online Resource
    ISSN: 1842-5135 , 2065-4421
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.21163/GT_2022.172
    DOI: 10.21163/GT
    DOI: 10.21163/GT_2022.172.13
    Language: Unknown
    Publisher: Asociatia Geograhia Technica
    Publication Date: 2022
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  • 16
    Online Resource
    Online Resource
    Rice field landscapes and their recent evolution in the Gianh River delta
    OpenEdition ; 2018
    In:  Cybergeo ( 2018-12-04)
    Details
    In: Cybergeo, OpenEdition, ( 2018-12-04)
    Type of Medium: Online Resource
    ISSN: 1278-3366
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.4000/cybergeo.28916
    DOI: 10.4000/cybergeo
    DOI: 10.4000/cybergeo.29826
    Language: Unknown
    Publisher: OpenEdition
    Publication Date: 2018
    detail.hit.zdb_id: 1474578-1
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  • 17
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    Online Resource
    Shallow landslide susceptibility mapping: A comparison between classification and regression tree and reduced error pruning tree algorithms
    Publishing House for Science and Technology, Vietnam Academy of Science and Technology (Publications) ; 2020
    In:  VIETNAM JOURNAL OF EARTH SCIENCES Vol. 42, No. 3 ( 2020-06-26)
    Details
    In: VIETNAM JOURNAL OF EARTH SCIENCES, Publishing House for Science and Technology, Vietnam Academy of Science and Technology (Publications), Vol. 42, No. 3 ( 2020-06-26)
    Abstract: Shallow landslides through land degrading not only lead to threat the properly and life of human but they also may produce huge ecosystem damages. The aim of this study was to compare the performance of two decision tree machine learning algorithms including classification and regression tree (CART) and reduced error pruning tree (REPTree) for shallow landslide susceptibility mapping in Bijar, Kurdistan province, Iran. We first used 20 conditioning factors and then they were tested by information gain ratio (IGR) technique to select the most important ones. We then constructed a geodatabase based on the selected factors along with a total of 111 landslide locations with a ratio of 80/20 (for calibration/validation). The performance of the models was checked by the true positive rate (TP Rate), false positive rate (FP Rate), precision, recall, F1-Measure, Kappa, mean absolute error, and area under the receiver operatic curve (AUC). Results of IGR specified that the slope angle and TWI had the most contribution to shallow landslide occurrence in the study area. Moreover, results concluded that although these models had a high goodness-of-fit and prediction accuracy, the CART model (AUC=0.856) outperformed the REPTree model (AUC=0.837). Therefore, the CART model can be used as a promising tool and also as a base classifier to hybrid with optimization algorithms and Meta classifiers for spatial prediction of shallow landslide-prone areas.
    Type of Medium: Online Resource
    ISSN: 0866-7187 , 0866-7187
    URL: Article
    DOI: 10.15625/0866-7187/42/3/14952
    Language: Unknown
    Publisher: Publishing House for Science and Technology, Vietnam Academy of Science and Technology (Publications)
    Publication Date: 2020
    SSG: 6,25
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  • 18
    Online Resource
    Online Resource
    ASSESSMENT OF INUNDATION SUSCEPTIBILITY IN THE CONTEXT OF CLIMATE CHANGE, BASED ON MACHINE LEARNING AND REMOTE SENSING: CASE STUDY IN VINH PHUC PROVINCE OF VIETNAM
    Asociatia Geograhia Technica ; 2023
    In:  Geographia Technica
    Details
    In: Geographia Technica, Asociatia Geograhia Technica
    Type of Medium: Online Resource
    ISSN: 1842-5135 , 2065-4421
    URL: Journal
    URL: Article
    DOI: 10.21163/GT
    DOI: 10.21163/GT_2023.182.07
    Language: Unknown
    Publisher: Asociatia Geograhia Technica
    Publication Date: 2023
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  • 19
    Online Resource
    Online Resource
    GIS-BASED ANALYTICAL HIERARCHY PROCESS MODELING FOR FLOOD‑PRONE AREA MAPPING IN VIETNAM
    Asociatia Geograhia Technica ; 2022
    In:  Geographia Technica Vol. 18, No. 1/2023 ( 2022-12-22), p. 56-70
    Details
    In: Geographia Technica, Asociatia Geograhia Technica, Vol. 18, No. 1/2023 ( 2022-12-22), p. 56-70
    Type of Medium: Online Resource
    ISSN: 1842-5135 , 2065-4421
    URL: Issue
    URL: Journal
    URL: Article
    DOI: 10.21163/GT_2023.181
    DOI: 10.21163/GT
    DOI: 10.21163/GT_2023.181.05
    Language: Unknown
    Publisher: Asociatia Geograhia Technica
    Publication Date: 2022
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  • 20
    Online Resource
    Online Resource
    Assessment spacial impervious surface changes in Can Tho city from 2015 to 2018 using L andsat images
    Viet Nam National University Ho Chi Minh City ; 2020
    In:  Science and Technology Development Journal - Natural Sciences Vol. 4, No. 1 ( 2020-12-20), p. first-
    Details
    In: Science and Technology Development Journal - Natural Sciences, Viet Nam National University Ho Chi Minh City, Vol. 4, No. 1 ( 2020-12-20), p. first-
    Abstract: The rapid urbanization increases the impermeable surface that leads to reduce the water permeability into the soil, resulting in reducing the infiltration and increasing the surface runoff. This study aims to extract the impermeable surface using Landsat satellite images and to monitor changes in the impervious surface in the period 2015 –2018 in Can Tho city. This study applied the Objectbased Image Analysis (OBIA) method with the Rule-based Image Analysis algorithm on Landsat 8 fusion data with multispectral images and spatial resolution of 15 m in the period 2015 – 2018 using impermeable surface extraction indicators. Impermeable surface map in 2015 and 2018 with high accuracy assessment (T = 95.5% and K = 0.91, 2015; T = 94% and K = 0.88, in 2018) was established and the fluctuation of the impermeable surface increased from 13,746.6 ha (9.55%) to 19,966.67 ha (13.87%) from 2015 to 2018. The research result indicated the infrastructure development situation and urban construction in Can Tho city during three years increasing of 4.32% of the total natural area in Can Tho city.
    Type of Medium: Online Resource
    ISSN: 2588-106X , 2588-106X
    URL: Article
    DOI: 10.32508/stdjns.v4i1.990
    Language: Unknown
    Publisher: Viet Nam National University Ho Chi Minh City
    Publication Date: 2020
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