Zobrazeno 1 - 10
of 1 156
pro vyhledávání: '"Yanqing WANG"'
Publikováno v:
Molecular Medicine, Vol 30, Iss 1, Pp 1-10 (2024)
Abstract Oxidative damage to human retinal pigment epithelial (RPE) cells is the main cause of age-related macular degeneration (AMD), in our previous work, we showed that ghrelin has an antioxidative effect on human lens epithelium (HLE) cells, howe
Externí odkaz:
https://doaj.org/article/76deacdfbe2d48d8a7c90d0e2f71d323
Publikováno v:
Humanities & Social Sciences Communications, Vol 11, Iss 1, Pp 1-13 (2024)
Abstract Friction is not an inherent attribute in natural science. Indeed, there are various friction phenomena present in social systems. In this study, the researchers developed the general concept of social friction and distinguished the two-dimen
Externí odkaz:
https://doaj.org/article/9d1b1b860c824977b0270a332962ea1f
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
IntroductionIn the Southern Ocean, the large-scale distribution of zooplankton, including their abundance and community composition from the epipelagic to the upper bathypelagic layers, remains poorly understood. This gap in knowledge limits our comp
Externí odkaz:
https://doaj.org/article/0e96318aba344f3ca4b7976cb78f0541
Publikováno v:
Acta Psychologica, Vol 249, Iss , Pp 104482- (2024)
The actions are oriented to delight travelers where existing protocols fall short of solving problems in the travel and tourism industry, seeking the retention of commuters by offering travel quality. The present study investigates the travel decisio
Externí odkaz:
https://doaj.org/article/ee27d22be83b49d8ac97d823e3fc915e
Autor:
Boonsub Panichakarn, Jessada Pochan, Muhammad Shafiq, Irfan Saleem, YanQing Wang, Sonia Nazeer
Publikováno v:
Journal of Open Innovation: Technology, Market and Complexity, Vol 10, Iss 4, Pp 100408- (2024)
Given the rapid growth of China's electric vehicle (EV) industry, with sales expected to reach over 10 million units annually by 2025, there is an urgent need to understand how digital logistics, supply chain agility, and innovation can drive sustain
Externí odkaz:
https://doaj.org/article/69cde00407024ff18db3e5ed02a528e8
Publikováno v:
Heliyon, Vol 10, Iss 15, Pp e35457- (2024)
Aim: Ovarian cancer (OC) is the most lethal gynecological malignancy, which seriously affects the prognosis and life quality of female patients. Therefore, new therapeutic targets and treatments are urgently needed. Methods: Expression levels of miR-
Externí odkaz:
https://doaj.org/article/efc8cc1341c0441eb787164e723e85a3
Publikováno v:
Frontiers in Psychology, Vol 15 (2024)
The current study used a person-centered approach to explore the co-occurrence of college students’ achievement emotions. It also examined the impact of teacher support on achievement emotion profiles and the mediating effect of need satisfaction.
Externí odkaz:
https://doaj.org/article/2c6b953475a84628a7501e8b9e5dc918
Publikováno v:
Acta Psychologica, Vol 248, Iss , Pp 104343- (2024)
Service failure is bound to happen, but dissatisfaction has always been undermined by scholars previously. The present study investigates dissatisfaction factors in travel decision-making leading towards re-travel intention with the help of the expec
Externí odkaz:
https://doaj.org/article/e8fb2d9ae1444bc0842ec594de396208
Autor:
Dong Di, Chencheng Zhang, Suping Sun, Ke Pei, Renjun Gu, Yan Sun, Shihan Zhou, Yanqing Wang, Xinyi Chen, Shan Jiang, Haoxin Wu, Boran Zhu, Xu Xu
Publikováno v:
Heliyon, Vol 10, Iss 14, Pp e34823- (2024)
The incidence of Parkinson's disease (PD) rises rapidly with the increase of age. With the advent of global aging, the number of patients with PD is rising along with the elderly population, especially in China. Previously, we found that Yishen chuch
Externí odkaz:
https://doaj.org/article/1ac8eaf97b614dcb9e7efdfa474cf6fd
Autor:
Yang Zhang, Tianyu Xiang, Yanqing Wang, Tingting Shu, Chengliang Yin, Huan Li, Minjie Duan, Mengyan Sun, Binyi Zhao, Kaisaierjiang Kadier, Qian Xu, Tao Ling, Fanqi Kong, Xiaozhu Liu
Publikováno v:
iScience, Vol 27, Iss 7, Pp 110281- (2024)
Summary: We aimed to develop a machine-learning based predictive model to identify 30-day readmission risk in Acute heart failure (AHF) patients. In this study 2232 patients hospitalized with AHF were included. The variance inflation factor value and
Externí odkaz:
https://doaj.org/article/42c4aa8788b04a6685639816b29ca075