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  1. Book ; Thesis: The impact of animal production in mountainous farming systems development in Northwest of Vietnam

    Nguyen, Thi-Thanh-Huyen

    (Farming & rural systems economics ; 57)

    2004  

    Author's details Nguyen Thi Thanh Huyen
    Series title Farming & rural systems economics ; 57
    Collection
    Keywords Vietnam ; Rinderzucht ; Bergbauer ; Landwirtschaftlicher Familienbetrieb ; Lebensstandard ; Nachhaltigkeit
    Subject Nachhaltige Entwicklung ; Langfristige Entwicklung ; Sustainable Development ; Dauerhafte Entwicklung ; Zukunftsfähige Entwicklung ; Lebensführung ; Lebensniveau ; Bäuerlicher Familienbetrieb ; Landwirtschaftliche Familienbetriebe ; Bergbauern ; Rind
    Language English
    Size XI, 155 S., graph. Darst., Kt., 21 cm
    Publisher Margraf
    Publishing place Weikersheim
    Publishing country Germany
    Document type Book ; Thesis
    Thesis / German Habilitation thesis Hohenheim, Univ., Diss., 2004
    Note Zsfasung in dt. Sprache
    HBZ-ID HT014267141
    ISBN 3-8236-1426-6 ; 978-3-8236-1426-5
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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  2. Article ; Online: Dynamic Connectedness between Renewable and Nonrenewable Energy Consumptions, Economic Growth and Carbon Dioxide Emissions in Vietnam

    Le Thanh Ha / Nguyen Thi Thanh Huyen

    International Journal of Energy Economics and Policy, Vol 12, Iss

    Extension of the TVP-VAR Joint Connected Approach

    2022  Volume 3

    Abstract: We employ a time-varying parameter vector autoregression (TVP-VAR) combined with an extended joint connectedness approach to study interlinkages between renewable and nonrenewable energy consumption, economic growth, and CO2 emission by characterizing ... ...

    Abstract We employ a time-varying parameter vector autoregression (TVP-VAR) combined with an extended joint connectedness approach to study interlinkages between renewable and nonrenewable energy consumption, economic growth, and CO2 emission by characterizing connectedness of four markets starting from 1985 to 2019. Our results demonstrate that the financial crisis appears to have influences on the system-wide dynamic connectedness, which reaches a peak during 1989. The total directional connectedness suggests that nonrenewable and renewable sources of energy consumption tend to be net recipients of spillover shocks. Throughout the studied period, growth in the economy and CO2 emissions seem to be influential net shock transmitters. Pairwise connectedness reveals that nonrenewable consumption primarily receives spillover effects of economic and environmental shocks. Since the crisis, CO2 emission has been a net receiver of shocks from other variables.
    Keywords Nonrenewable and renewable energy consumption ; GDP ; CO2 emission ; dynamic connectedness ; joint connectedness ; Environmental sciences ; GE1-350 ; Energy industries. Energy policy. Fuel trade ; HD9502-9502.5
    Subject code 339
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher EconJournals
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: The effect of brand image, received quality and brand experience on cútomer loyalty

    Nguyen Thi Thanh Huyen

    Journal of International Economics and Management, Vol 20, Iss

    an empirical investigation in the Telecommunication industry in Vietnam

    2020  Volume 3

    Keywords brand image ; perceived quality ; brand association ; brand loyalty ; brand experience ; Economics as a science ; HB71-74
    Language English
    Publishing date 2020-11-01T00:00:00Z
    Publisher HDV INSER., JSC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Network interlinkages between artificial intelligence and green energy dynamics during the War in a Pandemic

    Ngo Thang Loi / Nguyen Thi Thanh Huyen / To Trung Thanh / Le Thanh Ha

    Environmental Challenges, Vol 13, Iss , Pp 100796- (2023)

    An application of Bayesian vector heterogeneous autoregressions

    2023  

    Abstract: We investigate time-varying network interlinkages between artificial intelligence development and green energy market dynamics during the War in a Pandemic. While regarding AI development, we use First Trust NASDAQ Artificial Intelligence and Robotics ... ...

    Abstract We investigate time-varying network interlinkages between artificial intelligence development and green energy market dynamics during the War in a Pandemic. While regarding AI development, we use First Trust NASDAQ Artificial Intelligence and Robotics ETF, Global X Robotics and Artificial Intelligence and ishares Robotics and Artificial Intelligence, and the green energy market, including green bonds, clean energy, wind energy, solar energy, natural gas, and crude oil using seven Bayesian vector heterogeneous autoregression fashions. During the short, medium, and long run, this paper differentiates dynamically between network interlinkages between these markets. We found some noteworthy results in our study. We show that network interlinkages exhibit remarkable differences over time. Interlinkages between networks are increased in the short, medium, and long term due to transient events occurring in markets during the studied period. As a result of the ongoing COVID-19 epidemic and the Russia-Ukraine conflict, the long-term ties within the system are significantly impacted. Additionally, based on net directional linkages, market directional links indicate a shift in roles (from shock receiver to shock transmitter) during the epidemic and at the beginning of the Russia-Ukraine conflict. Observations of short- and medium-term trends reveal that all three indexes for artificial intelligence development are shock receivers from outside, which is transmitted to the green energy sector. The results indicate that artificial intelligence development persists as shock receivers in terms of long-horizon measures but become shocking transmitters during the illness crisis of COVID-19 (from January 2019 to January 2020) and the Russia-Ukraine conflict (from early 2022).
    Keywords F3 ; G12 ; Q43 ; Environmental sciences ; GE1-350
    Subject code 401
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Effects of Digitalization on Natural Resource Use in European Countries

    Ngô Thanh Mai / Le Thanh Ha / Trần Thi Mai Hoa / Nguyen Thi Thanh Huyen

    International Journal of Energy Economics and Policy, Vol 12, Iss

    Does Economic Complexity Matter?

    2022  Volume 3

    Abstract: This paper empirically analyses the influences of the digital transformation process in the business and public sector on natural resources rents. Our paper employs the digital businesses (e-Commerce, including the value of online selling, e-Commerce ... ...

    Abstract This paper empirically analyses the influences of the digital transformation process in the business and public sector on natural resources rents. Our paper employs the digital businesses (e-Commerce, including the value of online selling, e-Commerce turnover, e-Commerce web sales, and e-Business, including customer relationship management (CRM) usage and cloud usage) and the digital public services (user-centricity, business mobility, and key enablers), while we deal with the total natural rents (coal rents, mineral rents, natural gas rents, and forest rents). The various econometric techniques are applied to a sample of 26 European Union countries during the 2011-2019 period. Our estimation results demonstrate that both digital businesses and digital public services lead to a rise in total natural rents. More specifically, the digital businesses appear to have increased influences on coal rents, and gas rents, while the digital public services drive mineral rents, gas rents, and forest rents up. Conversely, digital public services tend to reduce coal rents and digital businesses lead to a decrease in mineral rents and forest rents. Notably, the economic complexity or the quality and diversification of the production system is the key variable for the digital economy aiming at shirking natural rent-seeking. The findings are consistent when we consider the specific type of natural resource rent regardless of whether they are affected differently by digital transformation.
    Keywords digital business ; digital public services ; natural rents ; economic complexity ; European countries ; Environmental sciences ; GE1-350 ; Energy industries. Energy policy. Fuel trade ; HD9502-9502.5
    Subject code 336
    Language English
    Publishing date 2022-05-01T00:00:00Z
    Publisher EconJournals
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  6. Article ; Online: Community-based ecotourism for sustainability

    Nguyen Dinh Tien / Tran Nhat Lam Duyen / Nguyen Thi Thanh Huyen / Phan Quang Anh / Nguyen Thi Oanh / Vu Van Tich / Dang Thanh Dat / Nguyen Thi Hong Hanh / Vu Hong Trang

    Social Sciences and Humanities Open, Vol 9, Iss , Pp 100807- (2024)

    An evaluative analysis of Binh Son district, Quang Ngai province in Vietnam

    2024  

    Abstract: Community-based ecotourism (CBE) has been adopted for the preservation and restoration of the ecosystem in the four local communities in Binh Son district of Quang Ngai province in Vietnam. This study investigates the causal links that exist between ... ...

    Abstract Community-based ecotourism (CBE) has been adopted for the preservation and restoration of the ecosystem in the four local communities in Binh Son district of Quang Ngai province in Vietnam. This study investigates the causal links that exist between socioeconomic development, the protection of biodiversity, environment and natural resources, and the institutional responses necessary for successful CBE development. In order to understand the complexities of the CBE model and how the stakeholders engaged in the CBE at local communities, a mix of the Strength-Weakness-Opportunity-Threat (SWOT) analysis and Driver-Pressure-State-Impact-Response (DPSIR) framework was employed for qualitative and quantitative data analysis using key informant interviews and household surveys. The study findings include important implications for both policy and management for promoting the sustainable growth of ecotourism in the region. Regarding theoretical contribution, various challenges to sustainably developing CBE have been identified while a DPSIR conceptual framework is proposed to assist future research in CBE in this area.
    Keywords DPSIR ; SWOT ; Community-based ecotourism ; Binh son district ; Sustainable ; History of scholarship and learning. The humanities ; AZ20-999 ; Social sciences (General) ; H1-99
    Subject code 910
    Language English
    Publishing date 2024-01-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article: Potential application of machine learning for exploring adsorption mechanisms of pharmaceuticals onto biochars

    Nguyen, Xuan Cuong / Ly, Quang Viet / Nguyen, Thi Thanh Huyen / Ngo, Hien Thi Thu / Hu, Yunxia / Zhang, Zhenghua

    Chemosphere. 2022 Jan., v. 287

    2022  

    Abstract: The increasing accumulation of pharmaceuticals in aquatic ecosystems could impair freshwater quality and threaten human health. Despite the adsorption of pharmaceuticals on biochars is one of the most cost-effective and eco-friendly removal methods, the ... ...

    Abstract The increasing accumulation of pharmaceuticals in aquatic ecosystems could impair freshwater quality and threaten human health. Despite the adsorption of pharmaceuticals on biochars is one of the most cost-effective and eco-friendly removal methods, the wide variation of experimental designs and research aims among previous studies pose significant challenge in selecting biochar for optimal removal. In this work, literature data of 1033 sets with 21 variables collected from 267 papers over ten years (2010–2020) covering 19 pharmaceuticals onto 88 biochars were assessed by different machine learning (ML) algorithms i.e., Linear regression model (LM), Feed-forward neural networks (NNET), Deep neutral networks (DNN), Cubist, K-nearest neighbor (KNN), and Random forest (RF), to predict equilibrium adsorption capacity (Qₑ) and explore adsorption mechanisms. LM showed the best performance on ranking importance of input variables. Except for initial concentration of pharmaceuticals, Qₑ was strongly governed by biochars' properties including specific surface area (BET), pore volume (PV), and pore structure (PS) rather than pharmaceuticals’ properties and experimental conditions. The most accurate model for estimating Qₑ was achieved by Cubist, followed by KNN, RF, KNN, NNET and LM. The generalization ability was observed by the tuned Cubist with 26 rules for the prediction of the unseen data. This study not only provides an insightful evidence for data-based adsorption mechanisms of pharmaceuticals on biochars, but also offers a potential method to accurately predict the biochar adsorption performance without conducting any experiments, which will be of high interests in practice in terms of water/wastewater treatment using biochars.
    Keywords adsorption ; biochar ; cost effectiveness ; drugs ; human health ; prediction ; regression analysis ; surface area ; wastewater treatment ; water quality
    Language English
    Dates of publication 2022-01
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 120089-6
    ISSN 1879-1298 ; 0045-6535 ; 0366-7111
    ISSN (online) 1879-1298
    ISSN 0045-6535 ; 0366-7111
    DOI 10.1016/j.chemosphere.2021.132203
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: Continuity of primary care for type 2 diabetes and hypertension and its association with health outcomes and disease control: insights from Central Vietnam.

    Le Ho Thi, Quynh-Anh / Pype, Peter / Wens, Johan / Nguyen Vu Quoc, Huy / Derese, Anselme / Peersman, Wim / Bui, Nhon / Nguyen Thi Thanh, Huyen / Nguyen Minh, Tam

    BMC public health

    2024  Volume 24, Issue 1, Page(s) 34

    Abstract: Background: Vietnam is undergoing a rapid epidemiological transition with a considerable burden of non-communicable diseases (NCDs), especially hypertension and diabetes (T2DM). Continuity of care (COC) is widely acknowledged as a benchmark for an ... ...

    Abstract Background: Vietnam is undergoing a rapid epidemiological transition with a considerable burden of non-communicable diseases (NCDs), especially hypertension and diabetes (T2DM). Continuity of care (COC) is widely acknowledged as a benchmark for an efficient health system. This study aimed to determine the COC level for hypertension and T2DM within and across care levels and to investigate its associations with health outcomes and disease control.
    Methods: A cross-sectional study was conducted on 602 people with T2DM and/or hypertension managed in primary care settings. We utilized both the Nijmegen continuity of care questionnaire (NCQ) and the Bice - Boxerman continuity of care index (COCI) to comprehensively measure three domains of COC: interpersonal, informational, and management continuity. ANOVA, paired-sample t-test, and bivariate and multivariable logistic regression analysis were performed to examine the predictors of COC.
    Results: Mean values of COC indices were: NCQ: 3.59 and COCI: 0.77. The proportion of people with low NCQ levels was 68.8%, and that with low COCI levels was 47.3%. Primary care offered higher informational continuity than specialists (p < 0.01); management continuity was higher within the primary care team than between primary and specialist care (p < 0.001). Gender, living areas, hospital admission and emergency department encounters, frequency of health visits, disease duration, blood pressure and blood glucose levels, and disease control were demonstrated to be statistically associated with higher levels of COC.
    Conclusions: Continuity of primary care is not sufficiently achieved for hypertension and diabetes mellitus in Vietnam. Strengthening robust primary care services, improving the collaboration between healthcare providers through multidisciplinary team-based care and integrated care approach, and promoting patient education programs and shared decision-making interventions are priorities to improve COC for chronic care.
    MeSH term(s) Humans ; Diabetes Mellitus, Type 2/epidemiology ; Diabetes Mellitus, Type 2/therapy ; Cross-Sectional Studies ; Vietnam/epidemiology ; Continuity of Patient Care ; Hypertension/epidemiology ; Hypertension/therapy ; Outcome Assessment, Health Care
    Language English
    Publishing date 2024-01-02
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2041338-5
    ISSN 1471-2458 ; 1471-2458
    ISSN (online) 1471-2458
    ISSN 1471-2458
    DOI 10.1186/s12889-023-17522-6
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Comparison of students' readiness from six health education programs for interprofessional learning in Vietnam

    Nguyen Thi Thanh Huyen / Nguyen Minh Tam / Johan Wens / Giannoula Tsakitzidis / Le Van Chi / Le Ho Thi Quynh Anh / Che Thi Len Len / Huynh Van Chuong / Nguyen Vu Quoc Huy / Martin Valcke

    BMC Medical Education, Vol 23, Iss 1, Pp 1-

    a cross-sectional study

    2023  Volume 8

    Abstract: Abstract Background Interprofessional education (IPE) is expected to help prepare undergraduate health profession students to collaborate with other healthcare professionals in realising quality of care. Studies stress the necessity of students’ ... ...

    Abstract Abstract Background Interprofessional education (IPE) is expected to help prepare undergraduate health profession students to collaborate with other healthcare professionals in realising quality of care. Studies stress the necessity of students’ readiness for interprofessional learning (IPL) in view of designing IPE programs. The present study aims to determine students' IPL-readiness and looks at related differences in students enrolled in different programs and at different phases in their educational program. Methods A cross-sectional survey study was set up among 1139 students from six health programs at HueUMP, using the Readiness for Interprofessional Learning Scale (RIPLS). Statistical analysis was performed using Kruskal–Wallis H and Mann–Whitney U tests. Results The overall mean RIPLS score was 68.89. RIPLS scores significantly differed between programs and between phases in the educational programs. Medical students presented a lower readiness level for IPL than students from other programs. In contrast to a significant increase in RIPLS scores of students in the clinical phase in Vietnamese traditional medicine, medicine, and pharmacy, a decrease in RIPLS scores was observed in students in the clinical phase in odonto-stomatology. Conclusions The differences could be related to differences in educational programs and the study phases in a particular program. These results offer insights to direct the design and implementation of IPE in health education curricula and especially underscore the need to provide IPE throughout the curriculum.
    Keywords Interprofessional education ; Interprofessional learning ; Student’s readiness ; Undergraduate healthcare students ; Special aspects of education ; LC8-6691 ; Medicine ; R
    Subject code 796
    Language English
    Publishing date 2023-10-01T00:00:00Z
    Publisher BMC
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Applying DEA sensitivity analysis to efficiency measurement of Vietnamese universities

    Nguyen Thi Thanh Huyen / Thenet, Gervais / Nguyen Khac Minh

    Management science letters Vol. 5, No. 11 , p. 983-992

    2015  Volume 5, Issue 11, Page(s) 983–992

    Author's details Thi Thanh Huyen Nguyen, Gervais Thenet and Khac Minh Nguyen
    Keywords Efficiency ; Vietnamese universities ; DEA ; Sensitivity analysis
    Language English
    Size Online-Ressource
    Publisher Growing Science
    Publishing place Waterloo, Ont
    Document type Article ; Online
    ZDB-ID 2592009-1
    ISSN 1923-9343 ; 1923-9335
    ISSN (online) 1923-9343
    ISSN 1923-9335
    DOI 10.5267/j.msl.2015.9.002
    Database ECONomics Information System

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