Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Haijie WANG"'
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-14 (2024)
Abstract Based on the annual reports and input–output table data of Chinese listed companies from 2008 to 2020, this paper measures the level of digital transformation of enterprises by using the keyword word frequency index in the annual reports o
Externí odkaz:
https://doaj.org/article/128b9a4e061b4527b201bd9329fb64ac
Autor:
Weisheng Lu BSc, Jue Wang, Chengji Wang BSc, Haijie Wang BSc, Wenhao Gao, Shouchong Ye MS, Ruling Shen PhD
Publikováno v:
Cancer Control, Vol 31 (2024)
Objective To evaluate the therapeutic effects and explore the mechanisms behind caloric restriction achieved through time-restricted feeding (CR) in inhibiting mouse tumors, providing a theoretical basis and data support for future CR diet-assisted a
Externí odkaz:
https://doaj.org/article/1e11bba7a4c847a293070a8711df1277
Publikováno v:
Virtual and Physical Prototyping, Vol 19, Iss 1 (2024)
The inherent ‘black-box’ characteristic of neural networks renders the physical interpretability of fatigue life prediction challenging, resulting in physically inconsistent prediction results. In response to this challenge, a multi-physics infor
Externí odkaz:
https://doaj.org/article/31fcd7b00ad24907b80245912d62acf9
Publikováno v:
Meikuang Anquan, Vol 55, Iss 2, Pp 55-61 (2024)
In order to reveal the propagation law of coal and gas outburst impact airflow, the distribution laws of velocity field, pressure field, impact force field, concentration field of impact airflow in the process of coal and gas outburst are simulated b
Externí odkaz:
https://doaj.org/article/859051eab455404695ffcdfca747e874
Publikováno v:
Mathematical Biosciences and Engineering, Vol 21, Iss 3, Pp 3498-3518 (2024)
Aspect-level sentiment analysis can provide a fine-grain sentiment classification for inferring the sentiment polarity of specific aspects. Graph convolutional network (GCN) becomes increasingly popular because its graph structure can characterize th
Externí odkaz:
https://doaj.org/article/388a2e87ad2f44d4bb5baf9ba74351a1
Publikováno v:
Hydrology Research, Vol 54, Iss 4, Pp 580-590 (2023)
Changes in precipitation storm characteristics especially extreme precipitation events have been frequently reported during recent years, which poses great challenges for flood controls of reservoir basins. In this study, we present a comprehensive e
Externí odkaz:
https://doaj.org/article/d4331380662c4f26ac9c36ecf1735146
Autor:
Haijie Wang, Xiaoran Chu, Pengfei Du, Hongjun He, Feng He, Yaobo Liu, Weiting Wang, Yanli Ma, Lei Wen, Yuanshang Wang, Fatih Oz, A.M. Abd El-Aty
Publikováno v:
Food Chemistry: X, Vol 19, Iss , Pp 100833- (2023)
This comprehensive review focuses on heterocyclic aromatic amines (HAAs), a class of chemicals that commonly form during the cooking or processing of protein-rich foods. The International Agency for Research on Cancer (IARC) has categorized certain H
Externí odkaz:
https://doaj.org/article/68dac9ef7e604bec90fff7284a7f491b
Autor:
Hao Zhu, Xuan Yin, Haijie Wang, Yida Wang, Xuefen Liu, Chenglong Wang, Xiaotian Li, Yuanyuan Lu, Guang Yang, He Zhang
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract We aimed to establish a computerized diagnostic model to predict placenta accrete spectrum (PAS) disorders based on T2-weighted MR imaging. We recruited pregnant women with clinically suspected PAS disorders between January 2015 and December
Externí odkaz:
https://doaj.org/article/bcfa4761c3c74c8fba37d1b8c44add43
Autor:
Tianping Wang, Haijie Wang, Yida Wang, Xuefen Liu, Lei Ling, Guofu Zhang, Guang Yang, He Zhang
Publikováno v:
Journal of Ovarian Research, Vol 15, Iss 1, Pp 1-10 (2022)
Abstract Background Epithelial ovarian cancer (EOC) is the most malignant gynecological tumor in women. This study aimed to construct and compare radiomics-clinical nomograms based on MR images in EOC prognosis prediction. Methods A total of 186 pati
Externí odkaz:
https://doaj.org/article/f73ea9b4513a40b8a518773bca13b9de
Autor:
Haijie Wang, Limin Cao, Qi Li, Nalin N. Wijayawardene, Jian Zhao, Min Cheng, Qi-Rui Li, Xiaobin Li, Itthayakorn Promputtha, Ying-Qian Kang
Publikováno v:
Frontiers in Microbiology, Vol 13 (2022)
The efficiently renewable bioethanol can help to alleviate energy crisis and environmental pollution. Genetically modified strains for efficient use of xylose and developing lignocellulosic hydrolysates play an essential role in facilitating cellulos
Externí odkaz:
https://doaj.org/article/de9ec52701dc41abbe9bfb14ac8de438