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Article ; Online: How do national marine parks contribute to tourism eco-efficiency in coastal cities? The case of China.

Lu, Jiawei / Chen, Haibo

Environmental science and pollution research international

2024 Volume 31, Issue 18, Page(s) 27432–27451

Abstract: This research investigates how establishing national marine parks in China enhances marine tourism ecology. Analyzing data from 52 coastal cities between 2006 and 2019, it uses a multi-period difference-in-differences method to evaluate the parks' impact ...

Abstract	This research investigates how establishing national marine parks in China enhances marine tourism ecology. Analyzing data from 52 coastal cities between 2006 and 2019, it uses a multi-period difference-in-differences method to evaluate the parks' impact on tourism eco-efficiency. The results show that national marine parks significantly improve coastal cities' tourism eco-efficiency, especially in the Bohai Rim and seaside cities. The study attributes this improvement to the reduction of fixed asset investments, which controls the scale of tourism development. These findings provide vital insights for countries seeking to revitalize their marine tourism sectors through similar ecological restoration strategies.
MeSH term(s)	China ; Tourism ; Cities ; Parks, Recreational ; Conservation of Natural Resources ; Humans ; Ecology
Language	English
Publishing date	2024-03-21
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/s11356-024-32899-6
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Effect of subsea dispersant application on deepwater oil spill in the South China Sea

Chen, Haibo

Journal of oceanology and limnology. 2022 May, v. 40, no. 3

2022

Abstract: There are considerable amounts of offshore oil/gas fields in the South China Sea (SCS), and for potential oil spill events in this area, dispersants may provide a reliable large-scale response when the preferable option of recapturing the oil cannot be ... ...

Abstract	There are considerable amounts of offshore oil/gas fields in the South China Sea (SCS), and for potential oil spill events in this area, dispersants may provide a reliable large-scale response when the preferable option of recapturing the oil cannot be achieved. In this paper, effect of chemical dispersants on underwater oil transport is investigated with an underwater oil spill model. Since the model is an adaption of an existing one, we first calibrate it by comparing the model result with echo-sounder data that were observed during the “DeepSpill” experiment with crude oil/LNG (liquefied natural gas) discharge. Then, with the hydrodynamic data provided by an operational forecasting system and the drilling data obtained from offshore platforms in the SCS, we apply the model to a hypothetical spill case, and examine the difference in oil distribution in water column caused by subsea dispersant application. The model results can provide valuable reference for contingency plan makers to make an efficient emergency response to potential underwater oil spill accidents in the SCS.
Keywords	dispersants ; hydrodynamics ; limnology ; models ; oceanography ; oil spills ; oils ; petroleum ; South China Sea
Language	English
Dates of publication	2022-05
Size	p. 950-968.
Publishing place	Science Press
Document type	Article
ISSN	2096-5508
DOI	10.1007/s00343-021-1077-y
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Performance of a simple backtracking method for marine oil source searching in a 3D ocean.

Chen, Haibo

Marine pollution bulletin

2019 Volume 142, Page(s) 321–334

Abstract: Performance of a simple backtracking method in searching for a potential spill source for offshore detected oil is investigated through a series of idealized numerical experiments, in which either sea surface source in a 2D case or underwater source in a ...

Abstract	Performance of a simple backtracking method in searching for a potential spill source for offshore detected oil is investigated through a series of idealized numerical experiments, in which either sea surface source in a 2D case or underwater source in a 3D case is considered. Numerical result shows that, generally, backtracking time is an important input for 2D version of the backtracking method, whereas an accurate ocean dynamic background and an accurate field measurement of oil droplet size are crucial for 3D version. Reducing the uncertainty in oil detection site or accurately measuring the oil droplet size can effectively improve the efficiency of method implementation. External information like satellite images, offshore oil facilities and navigation information is helpful for improving the method efficiency.
MeSH term(s)	Algorithms ; Environmental Monitoring/methods ; Oceans and Seas ; Petroleum Pollution/analysis ; Ships
Language	English
Publishing date	2019-04-03
Publishing country	England
Document type	Journal Article
ZDB-ID	2001296-2
ISSN	1879-3363 ; 0025-326X
ISSN (online)	1879-3363
ISSN	0025-326X
DOI	10.1016/j.marpolbul.2019.03.045
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Factors affecting the use of artificial intelligence generated content by subject librarians: A qualitative study.

Yang, Xiaowen / Ding, Jingjing / Chen, Haibo / Ji, Hanzhen

Heliyon

2024 Volume 10, Issue 8, Page(s) e29584

Abstract: To explore the factors affecting the use of artificial intelligence generated content (AIGC) by subject librarians through understanding their perceptions of AIGC. Interpretive phenomenological analysis (IPA) and technology acceptance model (TAM) were ... ...

Abstract	To explore the factors affecting the use of artificial intelligence generated content (AIGC) by subject librarians through understanding their perceptions of AIGC. Interpretive phenomenological analysis (IPA) and technology acceptance model (TAM) were used in semi-structured interviews to explore the external variables of perceived ease of use and perceived usability of AIGC application in subject librarians. The perceptions of subject librarians towards AIGC included performance, risk perceptions, ability enhancement, and affective attitude. Attentions were paid to AIGC's performances in providing customized services, optimizing collection resources and improving cost efficiency. The risk perception involved technical stability, data security, user acceptance and occupational risk, the ability enhancement involved the improvement of personal literacy, innovative ability, and self-confidence through the use of AIGC technology, and the affective attitudes included not only excitement and anticipation for the technical potential of AIGC, but also concerns and skepticism about it, and critical attitudes toward its application in academic settings and the ethical issues it may raise. TAM analysis on the factors affecting the use of AIGC by subject librarians indicates that the external influencing factors of perceived ease of use include personal literacy, innovative ability, self-confidence enhancement and affective attitude; the external influencing factors of perceived usability include precise service, collection resource optimization, cost-effectiveness, technological risk, user acceptance and occupational risk. These factors constitute a theoretical framework for understanding and promoting the acceptance and effective use of AIGC by subject librarians. TAM analysis combined with IPA exploration on the external variables of perceived ease of use and perceived usability of AIGC application can identify the key factors affecting subject librarians' perceptions of AIGC, propose strategies for optimizing librarians' roles, enhancing information recognition ability and privacy protection, thus providing guidance for effective use of AIGC in library.
Language	English
Publishing date	2024-04-14
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2024.e29584
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Association between serum calcium level and in-hospital mortality in patients with acute myocardial infarction: a retrospective cohort study.

Fang, Dingfeng / Chen, Haibo

Scientific reports

2022 Volume 12, Issue 1, Page(s) 19954

Abstract: The association between serum calcium levels and the prognosis of patients with acute myocardial infarction (AMI) remains controversial. This study aimed to explore the association between serum calcium and in-hospital mortality in patients with AMI. The ...

Abstract	The association between serum calcium levels and the prognosis of patients with acute myocardial infarction (AMI) remains controversial. This study aimed to explore the association between serum calcium and in-hospital mortality in patients with AMI. The data of this study were extracted from the Philips eICU Collaborative Research Database. A total of 7284 patients were eventually enrolled in this study, of which 799 (10.97%) died during hospitalization. For each patient, serum calcium, corrected to albumin, was calculated and categorized into four groups: Q1 ≤ 8.5, Q2 8.5-9.5, Q3 9.5-10.5, and Q4 > 10.5 mg/dL. Multivariate analysis demonstrated that corrected sCa was an independent predictor of in-hospital death (Q2 vs. Q1, OR 0.5, 95% CI 0.4-0.7, P < 0.001; Q3 vs. Q1, OR 0.8, 95% CI 0.6-1.0, P = 0.035; Q4 vs. Q1, OR 1.6, 95% CI 1.1-2.3, P = 0.008). The association remained stable in the fully adjusted model. A significant U-shaped association between corrected serum calcium and in-hospital mortality was observed in piecewise linear regression model (Corrected sCa < 9.4 mg/dL, OR 0.8, 95% CI 0.7-0.9, P < 0.001; corrected sCa > 9.4 mg/dL, OR 1.5, 95% CI 1.3-1.8, P < 0.001). In conclusion, both decreased and increased corrected serum calcium is associated with increased in-hospital mortality in patients with AMI, and patients may have the lowest risk of in-hospital death when corrected serum calcium is 9.4 mg/dL (2.35 mmol/L).
MeSH term(s)	Humans ; Hospital Mortality ; Calcium ; Retrospective Studies ; Myocardial Infarction ; Prognosis
Chemical Substances	Calcium (SY7Q814VUP)
Language	English
Publishing date	2022-11-19
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-022-24566-y
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Adaptive Spatio-Temporal Query Strategies in Blockchain

Chen, Haibo / Liang, Daolei

ISPRS international journal of geo-information. 2022 July 19, v. 11, no. 7

2022

Abstract: In various applications of blockchain, how to index spatio-temporal data more efficiently has become a subject of continuous attention. The existing spatio-temporal data query in the blockchain is realized by adding additional external storage or fixed ... ...

Abstract	In various applications of blockchain, how to index spatio-temporal data more efficiently has become a subject of continuous attention. The existing spatio-temporal data query in the blockchain is realized by adding additional external storage or fixed spatio-temporal index in the block, without considering the distribution of the spatio-temporal query itself and the proof performance accompanying the query. We propose an adaptive spatio-temporal blockchain index method, called Verkle AR-tree, which adds the verification of time and location in the blockchain without additional storage and realizes the spatio-temporal index with an encrypted signature. Verkle AR-tree further provides an adaptive algorithm, which adjusts the tree structure according to the historical query to produce the optimized index structure. The experimental results based on the pokeman dataset show that compared with the existing static spatio-temporal index, our method can effectively increase the performance of the spatio-temporal query and the spatio-temporal commitment in the blockchain.
Keywords	algorithms ; blockchain ; data collection ; spatial data ; trees
Language	English
Dates of publication	2022-0719
Publishing place	Multidisciplinary Digital Publishing Institute
Document type	Article
ZDB-ID	2655790-3
ISSN	2220-9964
ISSN	2220-9964
DOI	10.3390/ijgi11070409
Database	NAL-Catalogue (AGRICOLA)

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Article: Striving towards 2050 net zero CO

Chen, Haibo / Lu, Jiawei / Obobisa, Emma Serwaa

Heliyon

2023 Volume 9, Issue 12, Page(s) e22705

Abstract: The development of clean energy and financial sectors have been highlighted as critical factors in tackling climate change and achieving net zero emissions goals. Hence, using a dataset for the top 20 emitter countries from 1990 to 2019, this study ... ...

Abstract	The development of clean energy and financial sectors have been highlighted as critical factors in tackling climate change and achieving net zero emissions goals. Hence, using a dataset for the top 20 emitter countries from 1990 to 2019, this study examines whether clean energy consumption, financial development, human capital, population, and economic growth are connected with environmental quality through a reduction in carbon emissions. The long-run estimates show that renewable energy utilization, financial development, and human capital are significant in reducing CO
Language	English
Publishing date	2023-11-24
Publishing country	England
Document type	Journal Article
ZDB-ID	2835763-2
ISSN	2405-8440
ISSN	2405-8440
DOI	10.1016/j.heliyon.2023.e22705
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Design and Application of Deep Hash Embedding Algorithm with Fusion Entity Attribute Information.

Huang, Xiaoli / Chen, Haibo / Zhang, Zheng

Entropy (Basel, Switzerland)

2023 Volume 25, Issue 2

Abstract: Hash is one of the most widely used methods for computing efficiency and storage efficiency. With the development of deep learning, the deep hash method shows more advantages than traditional methods. This paper proposes a method to convert entities with ...

Abstract	Hash is one of the most widely used methods for computing efficiency and storage efficiency. With the development of deep learning, the deep hash method shows more advantages than traditional methods. This paper proposes a method to convert entities with attribute information into embedded vectors (FPHD). The design uses the hash method to quickly extract entity features, and uses a deep neural network to learn the implicit association between entity features. This design solves two main problems in large-scale dynamic data addition: (1) The linear growth of the size of the embedded vector table and the size of the vocabulary table leads to huge memory consumption. (2) It is difficult to deal with the problem of adding new entities to the retraining model. Finally, taking the movie data as an example, this paper introduces the encoding method and the specific algorithm flow in detail, and realizes the effect of rapid reuse of dynamic addition data model. Compared with three existing embedding algorithms that can fuse entity attribute information, the deep hash embedding algorithm proposed in this paper has significantly improved in time complexity and space complexity.
Language	English
Publishing date	2023-02-15
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2014734-X
ISSN	1099-4300 ; 1099-4300
ISSN (online)	1099-4300
ISSN	1099-4300
DOI	10.3390/e25020361
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: Performance of a simple backtracking method for marine oil source searching in a 3D ocean

Chen, Haibo

Marine pollution bulletin. 2019 May, v. 142

2019

Abstract	Performance of a simple backtracking method in searching for a potential spill source for offshore detected oil is investigated through a series of idealized numerical experiments, in which either sea surface source in a 2D case or underwater source in a 3D case is considered. Numerical result shows that, generally, backtracking time is an important input for 2D version of the backtracking method, whereas an accurate ocean dynamic background and an accurate field measurement of oil droplet size are crucial for 3D version. Reducing the uncertainty in oil detection site or accurately measuring the oil droplet size can effectively improve the efficiency of method implementation. External information like satellite images, offshore oil facilities and navigation information is helpful for improving the method efficiency.
Keywords	droplet size ; oils ; remote sensing ; uncertainty ; water pollution
Language	English
Dates of publication	2019-05
Size	p. 321-334.
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	2001296-2
ISSN	1879-3363 ; 0025-326X
ISSN (online)	1879-3363
ISSN	0025-326X
DOI	10.1016/j.marpolbul.2019.03.045
Database	NAL-Catalogue (AGRICOLA)

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Article: Metformin: A Novel Weapon Against Inflammation.

Bai, Bo / Chen, Haibo

Frontiers in pharmacology

2021 Volume 12, Page(s) 622262

Abstract: It has become widely accepted that inflammation is a driving force behind a variety of chronic diseases, such as cardiovascular disease, diabetes, kidney disease, cancer, neurodegenerative disorders, etc. However, the existing nonsteroidal anti- ... ...

Abstract	It has become widely accepted that inflammation is a driving force behind a variety of chronic diseases, such as cardiovascular disease, diabetes, kidney disease, cancer, neurodegenerative disorders, etc. However, the existing nonsteroidal anti-inflammatory drugs show a limited utility in clinical patients. Therefore, the novel agents with different inflammation-inhibitory mechanisms are worth pursuing. Metformin, a synthetic derivative of guanidine, has a history of more than 50 years of clinical experience in treating patients with type 2 diabetes. Intense research efforts have been dedicated to proving metformin's inflammation-inhibitory effects in cells, animal models, patient records, and randomized clinical trials. The emerging evidence also indicates its therapeutic potential in clinical domains other than type 2 diabetes. Herein, this article appraises current pre-clinical and clinical findings, emphasizing metformin's anti-inflammatory properties under individual pathophysiological scenarios. In summary, the anti-inflammatory effects of metformin are evident in pre-clinical models. By comparison, there are still clinical perplexities to be addressed in repurposing metformin to inflammation-driven chronic diseases. Future randomized controlled trials, incorporating better stratification/targeting, would establish metformin's utility in this clinical setting.
Language	English
Publishing date	2021-01-29
Publishing country	Switzerland
Document type	Journal Article ; Review
ZDB-ID	2587355-6
ISSN	1663-9812
ISSN	1663-9812
DOI	10.3389/fphar.2021.622262
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