Zobrazeno 1 - 10
of 59
pro vyhledávání: '"ZhiLing Tang"'
Publikováno v:
Ecotoxicology and Environmental Safety, Vol 278, Iss , Pp 116454- (2024)
Aim: We reveal the mechanism of action whereby ambient PM2.5 promotes kidney injury. Methods: Using C57BL/6 mice, the effects of PM2.5 exposure on the acute kidney injury (AKI) were investigated, including renal function changes, expression of inflam
Externí odkaz:
https://doaj.org/article/0c0e967ca18c473383cc4e7f25523f82
Autor:
Zhiling Tang, Long Yu
Publikováno v:
IEEE Access, Vol 12, Pp 144044-144054 (2024)
The orthogonal time-frequency space (OTFS) modulation is resistant to double selective fading, making it a promising modulation scheme for next-generation integrated sensing and communication (ISAC) systems. Nonetheless, there exists a problem of mut
Externí odkaz:
https://doaj.org/article/7292c152f0dc43f294570cc4c03e234d
Autor:
Chenye Tang, Xiao Guo, Yu Li, Yongxiang Yi, Zhiling Tang, Qihui Zhang, Bairu Luo, Kean Chen, Ke Liang, Gang Li
Publikováno v:
Mediators of Inflammation, Vol 2024 (2024)
Background. Bladder cancer (BC) is one of the most common malignancies of the urogenital system. This study assessed the nucleotide-binding oligomerization domain and leucine-rich repeat and pyrin domain-containing protein 3 (NLRP3) in BC as well as
Externí odkaz:
https://doaj.org/article/df62dcc43a41466896642daf928e195f
Publikováno v:
IEEE Access, Vol 11, Pp 66035-66049 (2023)
In an integrated sensing and communication (ISAC) system, improving the accuracy of delay and Doppler shift sensing parameter estimation is a critical task that sustains the performance of the communication system. To tackle this task, we introduce a
Externí odkaz:
https://doaj.org/article/76447dab8d374bc4aeeb00276c80dcb5
Publikováno v:
Future Internet, Vol 16, Iss 2, p 66 (2024)
The rapid development of the Internet of Things (IoT) has opened the way for transformative advances in numerous fields, including healthcare. IoT-based healthcare systems provide unprecedented opportunities to gather patients’ real-time data and m
Externí odkaz:
https://doaj.org/article/6cd7496aaec94dd3b1b6f6702817708a
Publikováno v:
Inteligencia Artificial, Vol 26, Iss 71 (2023)
Accurate classification of wine quality may help to improve making technology of wine. For achieving more effective quality classification, a classification method named DE_PSO_SVM (dataset enhancement (DE)_particle swarm optimization (PSO)_support v
Externí odkaz:
https://doaj.org/article/738f2ba2392a48a192dae1e3d2c8fdef
Fuzzy-Based Efficient Healthcare Data Collection and Analysis Mechanism Using Edge Nodes in the IoMT
Autor:
Muhammad Nafees Ulfat Khan, Zhiling Tang, Weiping Cao, Yawar Abbas Abid, Wanghua Pan, Ata Ullah
Publikováno v:
Sensors, Vol 23, Iss 18, p 7799 (2023)
The Internet of Things (IoT) is an advanced technology that comprises numerous devices with carrying sensors to collect, send, and receive data. Due to its vast popularity and efficiency, it is employed in collecting crucial data for the health secto
Externí odkaz:
https://doaj.org/article/d1bbf3d571504f098b1076eb9e1376f2
Autor:
Chun Sun, Deqing Chen, Xin Jin, Guangtao Xu, Chenye Tang, Xiao Guo, Zhiling Tang, Yixin Bao, Fei Wang, Ruilin Shen
Publikováno v:
Frontiers in Surgery, Vol 9 (2023)
BackgroundAcute kidney injury (AKI) is the most common major complication of cardiac surgery field. The purpose of this study is to investigate the association between acute kidney injury and the prognoses of cardiac surgery patients in the Medical I
Externí odkaz:
https://doaj.org/article/1786299000ab47b18f98f84a09c75fe0
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
IntroductionIntraductal carcinoma of the prostate (IDC-P) is a special pathological type of prostate cancer that is highly aggressive with poor prognostic outcomes.ObjectiveTo establish an effective predictive model for predicting IDC-P.MethodsData f
Externí odkaz:
https://doaj.org/article/6c07585f7cf94b3fa27925c4b9a5f369
Autor:
Xuanzhen Li, Jing Xiong, Zhiling Tang, Wenjie He, Yingli Wang, Xiong Wang, Zhen Zhao, Yuechang Wei
Publikováno v:
Molecules, Vol 28, Iss 4, p 1653 (2023)
One of the challenges in developing practical CO2 photoconversion catalysts is the design of materials with a low cost, high activity and good stability. In this paper, excellent photocatalysts based on TiO2, WO3, ZnO, Cu2O and CeO2 metal oxide mater
Externí odkaz:
https://doaj.org/article/c7c70a6c91314f9c8c863da5ededdfc6