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Article ; Online: Can sustainable entrepreneurship be achieved through green knowledge sharing, green dynamic capabilities, and green service innovation?

Tran, Trung Kien

Environmental science and pollution research international

2023 Volume 31, Issue 2, Page(s) 3060–3075

Abstract: Expansion of business activities comes with various environmental and natural disasters, hence agitating the economies and academia to present the counter and effective solution. Researchers also pinpointed prior that there exists a dark side of business ...

Abstract	Expansion of business activities comes with various environmental and natural disasters, hence agitating the economies and academia to present the counter and effective solution. Researchers also pinpointed prior that there exists a dark side of business expansion such as lacking of green innovative activities and dynamic capabilities which are creating resistance to achieve sustainability. Besides, literature also claims that green innovation is a crucial segment to achieve competitive edge that leads to sustainable entrepreneurship; however, it is not easier to be achieved as green innovation along green capabilities makes a complex network which consists of embedded partners, hence, also in dire need of green knowledge sharing as well to make the process smooth. In this lieu, the study aims to scrutinize the effectiveness of green knowledge sharing, green dynamic capabilities, and green service innovation on green entrepreneurship in the presence of gender role as a moderator. Empirical estimations calculated through PLS methodology reveal that green knowledge sharing, green dynamic capabilities, and green service innovation has a positive and significant linkage with green entrepreneurship in Vietnam. The outcomes also exposed that the male gender role significantly moderates the said relationship in Vietnam. Findings confirm that adoption sustainability practices such as green knowledge sharing, innovation, and dynamic capabilities are helpful to fulfill sustainable entrepreneurship demand; hence, further research is needed to extend the framework along with existing concepts.
MeSH term(s)	Male ; Humans ; Entrepreneurship ; Commerce ; Knowledge ; Natural Disasters ; Research Personnel
Language	English
Publishing date	2023-12-11
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-023-31308-8
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Article ; Online: A Comprehensive Review of Recent Deep Learning Techniques for Human Activity Recognition.

Le, Viet-Tuan / Tran-Trung, Kiet / Hoang, Vinh Truong

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 8323962

Abstract: Human action recognition is an important field in computer vision that has attracted remarkable attention from researchers. This survey aims to provide a comprehensive overview of recent human action recognition approaches based on deep learning using ... ...

Abstract	Human action recognition is an important field in computer vision that has attracted remarkable attention from researchers. This survey aims to provide a comprehensive overview of recent human action recognition approaches based on deep learning using RGB video data. Our work divides recent deep learning-based methods into five different categories to provide a comprehensive overview for researchers who are interested in this field of computer vision. Moreover, a pure-transformer architecture (convolution-free) has outperformed its convolutional counterparts in many fields of computer vision recently. Our work also provides recent convolution-free-based methods which replaced convolution networks with the transformer networks that achieved state-of-the-art results on many human action recognition datasets. Firstly, we discuss proposed methods based on a 2D convolutional neural network. Then, methods based on a recurrent neural network which is used to capture motion information are discussed. 3D convolutional neural network-based methods are used in many recent approaches to capture both spatial and temporal information in videos. However, with long action videos, multistream approaches with different streams to encode different features are reviewed. We also compare the performance of recently proposed methods on four popular benchmark datasets. We review 26 benchmark datasets for human action recognition. Some potential research directions are discussed to conclude this survey.
MeSH term(s)	Benchmarking ; Deep Learning ; Human Activities ; Humans ; Neural Networks, Computer ; Recognition, Psychology
Language	English
Publishing date	2022-04-20
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/8323962
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Article ; Online: Genetic variants of INHA/PstI and VIPR1/HhaI and their relationship with reproductive traits in Ac chicken (Gallus gallus domesticus Brisson)

Le Thanh Phuong / Tran Trung Tu / Nguyen Trong Ngu

Veterinary Integrative Sciences, Vol 21, Iss 3, Pp 831-

2023 Volume 841

Abstract: The Ac chicken (Gallus gallus domesticus Brisson) is commonly raised alongside other domestic chicken breeds in the Mekong Delta region. This study was conducted to analyze the impact of INHA/PstI and VIPR1/HhaI polymorphisms on the reproductive ... ...

Abstract	The Ac chicken (Gallus gallus domesticus Brisson) is commonly raised alongside other domestic chicken breeds in the Mekong Delta region. This study was conducted to analyze the impact of INHA/PstI and VIPR1/HhaI polymorphisms on the reproductive characteristics of this breed. A total of 380 Ac hens from 16-40 weeks of age were used, each placed in a separate cage for data collection . DNA isolation was performed using feather samples, and genotypes were detected by applying the PCR-RFLP technique . Two polymorphisms were identified , namely C829T (INHA /PstI) in exon 1 of the INHA gene an d C429 13T (VIP R1/HhaI) in intron 6 of th e V IPR1 ge ne .At both site s, two po lymo rphism s d id not follow the Hardy -Weinberg e quilibr ium . The IN HA /PstI and VIP R 1/Hh a I po lymo rphism s demo nstrated a statist ically significant association with the tota l number of eggs pro duce d and the la ying r ate (p<0.0 5). S pec ifically , he ns with TT genotype (INHA/PstI ) had the highest egg p rodu ction (7 2.4 eggs /he n/24 laying week s ). In contras t , thos e with t he CC genotype produced approximately 9 fewer eg gs (63.2 eggs /h en ), resu lting in layi ng rates of 4 5.2% and 40 .3%, re specti vel y .Additionally , the INHA/PstI polymorphisms sho wed a notab le and significan t associ at ion with the average age of the first egg (p<0.05). In conclusion , to enhance egg prod uction in Ac ch ickens th roug h selective breeding, it is rec ommended to prioritize the use of birdswith the TT genotype at the INH A/Pst I locu s.
Keywords	Veterinary medicine ; SF600-1100
Subject code	500
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	Faculty of Veterinary Medicine, Chiang Mai University
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: AandP

Tran, Trung Q.

Utilizing Prolog for converting between active sentence and passive sentence with three-steps conversion

2020

Abstract: I introduce a simple but efficient method to solve one of the critical aspects of English grammar which is the relationship between active sentence and passive sentence. In fact, an active sentence and its corresponding passive sentence express the same ... ...

Abstract	I introduce a simple but efficient method to solve one of the critical aspects of English grammar which is the relationship between active sentence and passive sentence. In fact, an active sentence and its corresponding passive sentence express the same meaning, but their structure is different. I utilized Prolog [4] along with Definite Clause Grammars (DCG) [5] for doing the conversion between active sentence and passive sentence. Some advanced techniques were also used such as Extra Arguments, Extra Goals, Lexicon, etc. I tried to solve a variety of cases of active and passive sentences such as 12 English tenses, modal verbs, negative form, etc. More details and my contributions will be presented in the following sections. The source code is available at https://github.com/tqtrunghnvn/ActiveAndPassive.
Keywords	Computer Science - Computation and Language
Publishing date	2020-01-16
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Computational Methods for Automated Analysis of Malaria Parasite Using Blood Smear Images: Recent Advances.

Shambhu, Shankar / Koundal, Deepika / Das, Prasenjit / Hoang, Vinh Truong / Tran-Trung, Kiet / Turabieh, Hamza

Computational intelligence and neuroscience

2022 Volume 2022, Page(s) 3626726

Abstract: Malaria comes under one of the dangerous diseases in many countries. It is the primary reason for most of the causalities across the world. It is presently rated as a significant cause of the high mortality rate worldwide compared with other diseases ... ...

Abstract	Malaria comes under one of the dangerous diseases in many countries. It is the primary reason for most of the causalities across the world. It is presently rated as a significant cause of the high mortality rate worldwide compared with other diseases that can be reduced significantly by its earlier detection. Therefore, to facilitate the early detection/diagnosis of malaria to reduce the mortality rate, an automated computational method is required with a high accuracy rate. This study is a solid starting point for researchers who want to look into automated blood smear analysis to detect malaria. In this paper, a comprehensive review of different computer-assisted techniques has been outlined as follows: (i) acquisition of image dataset, (ii) preprocessing, (iii) segmentation of RBC, and (iv) feature extraction and selection, and (v) classification for the detection of malaria parasites using blood smear images. This study will be helpful for: (i) researchers can inspect and improve the existing computational methods for early diagnosis of malaria with a high accuracy rate that may further reduce the interobserver and intra-observer variations; (ii) microbiologists to take the second opinion from the automated computational methods for effective diagnosis of malaria; and (iii) finally, several issues remain addressed, and future work has also been discussed in this work.
MeSH term(s)	Algorithms ; Animals ; Image Processing, Computer-Assisted/methods ; Malaria/diagnosis ; Malaria/parasitology ; Parasites
Language	English
Publishing date	2022-04-11
Publishing country	United States
Document type	Journal Article ; Review
ZDB-ID	2388208-6
ISSN	1687-5273 ; 1687-5273
ISSN (online)	1687-5273
ISSN	1687-5273
DOI	10.1155/2022/3626726
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Article ; Online: A Comprehensive Review of Recent Deep Learning Techniques for Human Activity Recognition

Viet-Tuan Le / Kiet Tran-Trung / Vinh Truong Hoang

Computational Intelligence and Neuroscience, Vol

2022 Volume 2022

Abstract	Human action recognition is an important field in computer vision that has attracted remarkable attention from researchers. This survey aims to provide a comprehensive overview of recent human action recognition approaches based on deep learning using RGB video data. Our work divides recent deep learning-based methods into five different categories to provide a comprehensive overview for researchers who are interested in this field of computer vision. Moreover, a pure-transformer architecture (convolution-free) has outperformed its convolutional counterparts in many fields of computer vision recently. Our work also provides recent convolution-free-based methods which replaced convolution networks with the transformer networks that achieved state-of-the-art results on many human action recognition datasets. Firstly, we discuss proposed methods based on a 2D convolutional neural network. Then, methods based on a recurrent neural network which is used to capture motion information are discussed. 3D convolutional neural network-based methods are used in many recent approaches to capture both spatial and temporal information in videos. However, with long action videos, multistream approaches with different streams to encode different features are reviewed. We also compare the performance of recently proposed methods on four popular benchmark datasets. We review 26 benchmark datasets for human action recognition. Some potential research directions are discussed to conclude this survey.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Neurosciences. Biological psychiatry. Neuropsychiatry ; RC321-571
Subject code	006 ; 004
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Will Climate Change Exacerbate the Economic Damage of Flood to Agricultural Production? A Case Study of Rice in Ha Tinh Province, Vietnam

Pham Quy Giang / Tran Trung Vy

Frontiers in Environmental Science, Vol

2021 Volume 9

Abstract: In developing countries in general and in Vietnam in particular, flood induced economic loss of agriculture is a serious concern since the livelihood of large populations depends on agricultural production. The objective of this study was to examine if ... ...

Abstract	In developing countries in general and in Vietnam in particular, flood induced economic loss of agriculture is a serious concern since the livelihood of large populations depends on agricultural production. The objective of this study was to examine if climate change would exacerbate flood damage to agricultural production with a case study of rice production in Huong Son District of Ha Tinh Province, North-central Vietnam. The study applied a modeling approach for the prediction. Extreme precipitation and its return periods were calculated by the Generalized Extreme Value distribution method using historical daily observations and output of the MRI-CGCM3 climate model. The projected extreme precipitation data was then employed as an input of the Mike Flood model for flood modeling. Finally, an integrated approach employing flood depth and duration and crop calendar was used for the prediction of potential economic loss of rice production. Results of the study show that in comparison with the baseline period, an increase of 49.14% in the intensity of extreme precipitation was expected, while the frequency would increase 5 times by 2050s. As a result, the seriousness of floods would increase under climate change impacts as they would become more intensified, deeper and longer, and consequently the economic loss of rice production would increase significantly. While the level of peak flow was projected to rise nearly 1 m, leading the area of rice inundated to increase by 12.61%, the value of damage would rise by over 21% by 2050s compared to the baseline period. The findings of the present study are useful for long-term agricultural and infrastructural planning in order to tackle potential flooding threats to agricultural production under climate change impacts.
Keywords	climate change ; modeling ; rice production ; flood economic loss ; loss function ; MRI-CGCM3 ; Environmental sciences ; GE1-350
Subject code	333
Language	English
Publishing date	2021-06-01T00:00:00Z
Publisher	Frontiers Media S.A.
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Determinants of corporate cash holdings

Hue Chi Tran / Tran Trung Dzung Phan

Journal of International Economics and Management, Vol 21, Iss 3, Pp 1-

evidence from Vietnamese materials firms

2021 Volume 21

Abstract: This paper investigates factors affecting cash holdings of materials firms listed on Vietnamese stock exchanges. The study shows that leverage, profitability, cash conversion cycle, cash flows, and growth opportunities significantly affect the level of ... ...

Abstract	This paper investigates factors affecting cash holdings of materials firms listed on Vietnamese stock exchanges. The study shows that leverage, profitability, cash conversion cycle, cash flows, and growth opportunities significantly affect the level of cash holdings of Vietnamese materials companies by analyzing data collected from 51 companies over seven years (2013-2019) and using FGLS procedure on fixed effect estimation. This study adds more insights in the field of liquidity management in general and cash management in particular by determining factors influencing cash holdings. Outcomes from this research would help managers, investors, and consultants make corporate governance decisions.
Keywords	cash holdings issues ; corporate governance ; Economics as a science ; HB71-74
Language	English
Publishing date	2021-11-01T00:00:00Z
Publisher	HDV INSER., JSC
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: Inclusion complexes of squalene with beta-cyclodextrin and methyl-beta-cyclodextrin: preparation and characterization.

Van Nguyen, Anh / Deineka, Victor I / Vu, Anh Thi Ngoc / LE, Tuan Dinh / Tran-Trung, Hieu / Nguyen, Tien A

Turkish journal of chemistry

2022 Volume 47, Issue 1, Page(s) 294–306

Abstract: The present work aimed to investigate inclusion complexes of squalene with various cyclodextrins (native β-cyclodextrin and methyl-β-cyclodextrin). The production of squalene-β-cyclodextrin inclusion complex was obtained using Response Surface ... ...

Abstract	The present work aimed to investigate inclusion complexes of squalene with various cyclodextrins (native β-cyclodextrin and methyl-β-cyclodextrin). The production of squalene-β-cyclodextrin inclusion complex was obtained using Response Surface Methodology and obtained inclusion complexes were studied with FTIR spectroscopy, X-ray diffractometry, thermal analysis, and
Language	English
Publishing date	2022-12-29
Publishing country	Turkey
Document type	Journal Article
ZDB-ID	2046471-X
ISSN	1303-6130 ; 1300-0527
ISSN (online)	1303-6130
ISSN	1300-0527
DOI	10.55730/1300-0527.3537
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Article ; Online: Impact of Music in Males and Females for Relief from Neurodegenerative Disorder Stress.

Salankar, Nilima / Mishra, Anjali / Koundal, Deepika / Hoang, Vinh Truong / Tran-Trung, Kiet / Zaguia, Atef / Belay, Assaye

Contrast media & molecular imaging

2022 Volume 2022, Page(s) 3080437

Abstract: Neurological imbalance sometimes resulted in stress, which is experienced by the number of people at some moment in their life. A considerable measurement scheme can quantify the stress level in an individual, in which music has always been considered as ...

Abstract	Neurological imbalance sometimes resulted in stress, which is experienced by the number of people at some moment in their life. A considerable measurement scheme can quantify the stress level in an individual, in which music has always been considered as the best therapy for stress relief in healthy human being as well in severe medical conditions. In this work, the impact of four types of music interventions with the lyrics of Hindi music and varying spectral centroid has been studied for an analysis of stress relief in males and females. The self-reported data for stress using state-trait anxiety (STA) and electroencephalography (EEG) signals for 14 channels in response to music interventions have been considered. Features such as Hjorth (activity, mobility, and complexity), variance, standard deviation, skew, kurtosis, and mean have been extracted from five bands (delta, theta, alpha, beta, and gamma) of each channel of the recorded EEG signals from 9 males and 9 females of the age category between 18 and 25 years. The support vector machine classifier has been used to classify three subsets: (i) male and female, (ii) baseline and female, and (iii) baseline and male. The noteworthy accuracy of 100% was found at the delta band for the first subset, beta and gamma bands for the second subset, and beta, gamma, and delta bands for the third subset. STA score has shown more deviation in the male category than in female, which gives a clear insight into the impact of music intervention with varying spectral centroid that has a higher impact to relieve stress in the male category than the female category.
MeSH term(s)	Adolescent ; Adult ; Electroencephalography/methods ; Female ; Humans ; Male ; Music ; Neurodegenerative Diseases ; Support Vector Machine ; Young Adult
Language	English
Publishing date	2022-04-12
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2232678-9
ISSN	1555-4317 ; 1555-4309
ISSN (online)	1555-4317
ISSN	1555-4309
DOI	10.1155/2022/3080437
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