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Wyszukujesz frazę "Thi Thanh Thuy, Nguyen" wg kryterium: Autor


Wyświetlanie 1-3 z 3
Tytuł:
Career Orientation of Students in the Faculty of Mining at Hanoi University of Mining and Geology
Autorzy:
Truong, Thi Hoa
Nguyen, Thuy Quynh
Nguyen, Thi Thanh Tra
Nguyen, Tat Thang
Powiązania:
https://bibliotekanauki.pl/articles/2020954.pdf
Data publikacji:
2021
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
student
profession
career orientation
Faculty of Mining
studenci
kariera
Wydział Górniczy
Opis:
Career orientation has become significant in Vietnamese education recently. To students of the Mining Faculty of Hanoi University of Mining and Geology, this issue is more important as society changes its acceptance of mining. The research uses investigation, interview, and observation methods for 205 students to see their career orientation. The performance is on the following criteria: 1) Career choice based on individual interests, abilities, personalities, career values; 2) Understanding of the profession in aspects of quality and capacity, workplace, future working environment, the development trend, etc.; 3) The suitability of the profession with individual interests, abilities, personality, and values of the profession during the study; 4) Study plans to meet industry requirements; 5) Self-development plans in the future career. Research results show that the majority of students have the right and appropriate career. These students have clear and positive motivations and goals in the learning process. Only a few students have not determined the proper position in the profession due to their emotions, which are not stable and oriented.
Źródło:
Inżynieria Mineralna; 2021, 2; 555--566
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Emission Reduction in Oil & Gas Subsurface Characterization Workflow with AI/ML Enabler
Autorzy:
Thanh, Thuy Nguyen Thi
Lee, Samie
Nguyen, The
Duyen, Le Quang
Powiązania:
https://bibliotekanauki.pl/articles/27323253.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Przeróbki Kopalin
Tematy:
CO2 emission
net zero carbon
machine learning
CCUS
digital transformation
emission reduction
digital subsurface workflow
emisja CO2
transformacja cyfrowa
redukcja
Opis:
According to (McKinsey & Company, 2020), drilling and extraction operations are responsible for 10% of approximately 4 billion tons of CO2 emitted yearly by Oil and Gas sector. To lower carbon emissions, companies used different strategies including electrifying equipment, changing power sources, rebalancing portfolios, and expanding carbon-capture-utilization-storage (CCUS). Technology evolution with digital transformation strategy is essential for reinventing and optimizing existing workflow, reducing lengthy processes and driving efficiency for sustainable operations. Details subsurface studies take up-to 6–12 months, including seismic & static analysis, reserve estimation and simulation to support drilling and extraction operations. Manual and repetitive processes, aging infrastructure with limited computing-engine are factors for long computation hours. To address subsurface complexity, hundred-thousand scenarios are simulated that lead to tremendous power consumption. Excluding additional simulation hours, each workstation uses 24k kWh/month for regular 40 hours/month and produces 6.1kg CO2. Machine Learning (ML) become crucial in digital transformation, not only saving time but supporting wiser decision-making. An 80%-time-reduction with ML Seismic and Static modeling deployed in a reservoir study. Significant time reduction from days-tohours-to-minutes with cloud-computing deployed to simulate hundreds-thousands of scenarios. These time savings help to reduce CO2-emissions resulting in a more sustainable subsurface workflow to support the 2050 goal.
Źródło:
Inżynieria Mineralna; 2023, 2; 289--294
1640-4920
Pojawia się w:
Inżynieria Mineralna
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Is short term debt maturity linked to real earning management?
Autorzy:
Nguyen, Thanh Liem
Trinh, Quoc Trung
Nguyen, Vinh Khuong
Cao Thi, Mien Thuy
Powiązania:
https://bibliotekanauki.pl/articles/2174425.pdf
Data publikacji:
2022
Wydawca:
Uniwersytet Zielonogórski. Wydział Ekonomii i Zarządzania
Tematy:
real earnings management
debt maturity
short-term load
information asymmetry
zarządzanie realnymi zarobkami
zapadalność długu
kredyt krótkoterminowy
Opis:
This paper explores the association between the maturity of short term debt and real earnings management in the context of an emerging market. We use a panel dataset of listed firms in Vietnam over the period from 2009 to 2017 and employ conventional methods for panel data analysis. Our work contributes by documenting a non-linear relationship between short-term debt maturity and manipulation of earnings. In particular, businesses prefer to refrain from manipulating earnings at low short-term debt maturity levels but are likely to manage them at higher short-term debt maturity levels. Under a battery of robustness evaluations, this result remains unchanged. This means that investors/lenders of firms should be vigilant with the information recorded on financial statements because managers can manage corporate earnings, especially at high short-term debt levels.
Źródło:
Management; 2022, 26, 1; 189--203
1429-9321
2299-193X
Pojawia się w:
Management
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-3 z 3

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