Zobrazeno 1 - 10
of 137
pro vyhledávání: '"Zixing ZHANG"'
Autor:
Meishu Song, Zijiang Yang, Andreas Triantafyllopoulos, Zixing Zhang, Zhe Nan, Muxuan Tang, Hiroki Takeuchi, Toru Nakamura, Akifumi Kishi, Tetsuro Ishizawa, Kazuhiro Yoshiuchi, Björn Schuller, Yoshiharu Yamamoto
Publikováno v:
JMIR Mental Health, Vol 11, p e59512 (2024)
BackgroundThe field of mental health technology presently has significant gaps that need addressing, particularly in the domain of daily monitoring and personalized assessments. Current noninvasive devices such as wristbands and smartphones are capab
Externí odkaz:
https://doaj.org/article/17b09b9abe44436494fd8e163ca8fbab
Publikováno v:
Environmental Sciences Europe, Vol 36, Iss 1, Pp 1-12 (2024)
Abstract Background Plastic is generating global pollution and the replacement such as bioplastic has been developed to mitigate the pollution. To this end, the fate, transformation and pathway of bioplastics need more research. For example, the frag
Externí odkaz:
https://doaj.org/article/0a439cb2c5da4c3893779350f00024e7
Publikováno v:
Zhongguo gonggong weisheng, Vol 40, Iss 1, Pp 23-28 (2024)
ObjectiveTo investigate the relationship between uric acid and the incidence of thyroid nodules (TNs) in health examinees in Anhui province for early intervention on TNs incidence. MethodsTotally 3 151 adults having regular health examinations at the
Externí odkaz:
https://doaj.org/article/eb1fa14bbe894a8684cef30d4b5d781e
Autor:
Théogène Habumugisha, Zixing Zhang, Constance Uwizewe, Changzhou Yan, Jean Claude Ndayishimiye, Abdul Rehman, Xian Zhang
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 278, Iss , Pp 116426- (2024)
The increase of micro- and nano-plastics (MNPs) in aquatic environments has become a significant concern due to their potential toxicological effects on ecosystems, food web dynamics, and human health. These plastic particles emerge from a range of s
Externí odkaz:
https://doaj.org/article/5446acecd2fc4bb9baf25b4d766eed25
Autor:
Abdul Rehman, Fuyi Huang, Zixing Zhang, Théogène Habumugisha, Changzhou Yan, Uzma Shaheen, Xian Zhang
Publikováno v:
Environment International, Vol 187, Iss , Pp 108713- (2024)
Nanoplastics (NPs) are increasingly pervasive in the environment, raising concerns about their potential health implications, particularly within aquatic ecosystems. This study investigated the impact of polystyrene nanoparticles (PSN) on zebrafish l
Externí odkaz:
https://doaj.org/article/84d89710101b4f51a50f0b98192bd1d2
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 2, Pp 2883-2900 (2023)
Abstract Various external factors that interfere with traffic flow, such as weather conditions, traffic accidents, incidents, and Points of Interest (POIs), need to be considered in performing traffic forecasting tasks. However, the current research
Externí odkaz:
https://doaj.org/article/ea8e4fda50814d0aa82363da6630f77d
Publikováno v:
Frontiers in Chemistry, Vol 11 (2023)
In recent years, the utilization of flow cytometry for quantitative microplastic analysis has gained prominence. However, the current methods have some drawbacks that need to be improved. The present study aims to enhance the flow cytometry detection
Externí odkaz:
https://doaj.org/article/b11a19f6e64f4cf3a5125432a1a9acff
Publikováno v:
Membranes, Vol 13, Iss 7, p 634 (2023)
Characterization of the cross-sectional morphologies of polymeric membranes are critical in understanding the relationship of structure and membrane separation performances. However, preparation of cross-sectional samples with flat surfaces for scann
Externí odkaz:
https://doaj.org/article/c124ffd785714e25ae0bc17410395af3
Publikováno v:
Sensors, Vol 23, Iss 13, p 5904 (2023)
Emotional perception and expression are very important for building intelligent conversational systems that are human-like and attractive. Although deep neural approaches have made great progress in the field of conversation generation, there is stil
Externí odkaz:
https://doaj.org/article/7d72495d1dae495db3e2fe539af9e13b
Publikováno v:
Sensors, Vol 23, Iss 10, p 4777 (2023)
Speech emotion recognition (SER) is a task that tailors a matching function between the speech features and the emotion labels. Speech data have higher information saturation than images and stronger temporal coherence than text. This makes entirely
Externí odkaz:
https://doaj.org/article/5ec5ceadda2a4eda87ac64bd7deb023b