Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Chenkai Zhang"'
Publikováno v:
Frontiers in Psychiatry, Vol 15 (2024)
BackgroundThis study assessed the diagnostic capabilities of eight inflammatory biomarkers in first-episode schizophrenia (SCZ), bipolar disorder (BD), and depression (D), examining their differential expression across these psychiatric disorders. Th
Externí odkaz:
https://doaj.org/article/149086af013a4e739c12a115eeec7773
Autor:
Jie Wang, Jiajie Zhou, Yifan Cheng, Shuai Zhao, Ruiqi Li, Chenkai Zhang, Yayan Fu, Longhe Sun, Jun Ren, Daorong Wang
Publikováno v:
World Journal of Surgical Oncology, Vol 22, Iss 1, Pp 1-9 (2024)
Abstract Background The cranial-caudal-medial approach (CCMA) has been proposed for laparoscopic right hemicolectomy nowadays. This study aimed to investigate the safety and oncological efficacy of CCMA in the treatment of right-sided colon cancer co
Externí odkaz:
https://doaj.org/article/7a768cf7807b4d3d84c960b0d6cce8a1
Publikováno v:
Chem & Bio Engineering, Vol 1, Iss 1, Pp 76-82 (2024)
Coloration is essential for enhancing visual aesthetics and facilitating information communication, but it is difficult to apply to highly complex surfaces. Efficient manufacturing of 3D printed colored products is particularly challenging, given the
Externí odkaz:
https://doaj.org/article/f2e4ccddff054448a8f4ccbdd71e2fc4
Publikováno v:
Axioms, Vol 13, Iss 9, p 588 (2024)
The Boltzmann equation with multiple-relaxation-time (MRT) collision operators has been widely employed in kinetic theory to describe the behavior of gases and liquids at the macro-level. Given the successful development of deep learning and the avai
Externí odkaz:
https://doaj.org/article/5aa085d1b5d04fefb90b9950040682b4
Publikováno v:
IEEE Access, Vol 11, Pp 4270-4282 (2023)
With the rapid development of autonomous driving technology, a variety of high-performance end-to-end driving models (E2EDMs) are being proposed. In order to understand the computational methods of E2EDMs, pixel-level explanations methods are used to
Externí odkaz:
https://doaj.org/article/487d20effc224e1e997fdc0cdfd33023
Publikováno v:
Entropy, Vol 25, Iss 10, p 1399 (2023)
This paper introduces a novel three-dimensional chaotic system that exhibits diverse dynamic behaviors as parameters vary, including phase trajectory offset behaviors and expansion–contraction phenomena. This model encompasses a broad chaotic range
Externí odkaz:
https://doaj.org/article/ff4aae4c58624e08985cff7d5c7e1799
Publikováno v:
International Journal of Automotive Engineering, Vol 12, Iss 2, Pp 41-47 (2021)
As deep learning methods in image recognition have achieved excellent performance, researchers have begun to apply CNNs(convolutional neural networks) to automated driving. However, the explainability for the decision making of automated driving is h
Externí odkaz:
https://doaj.org/article/10be4141f1d84388aea4e8eee6f09304
Publikováno v:
IEEE Access, Vol 9, Pp 94239-94250 (2021)
Understanding the relationship between driving behavior and visual information is important for holistic understanding of driving behavior. However, the analysis of the cognitive behavior for steering/throttle control has been only conducted under a
Externí odkaz:
https://doaj.org/article/e64c3466038240d0855aed1edd9a3200
Publikováno v:
Micromachines, Vol 12, Iss 4, p 369 (2021)
As an excellent multifunctional single crystal, potassium dihydrogen phosphate (KDP) is a well-known, difficult-to-process material for its soft-brittle and deliquescent nature. The surface mechanical properties are critical to the machining process;
Externí odkaz:
https://doaj.org/article/07cff840a67942e8a5fb58e4d48c04a8
Publikováno v:
Energies, Vol 13, Iss 9, p 2123 (2020)
In order to investigate the flow structure and unsteady behavior of three-dimensional corner separation, a delayed detached-eddy simulation (DDES) method based on the Spalart–Allmaras (SA) model is performed on the third-stage stator of a multistag
Externí odkaz:
https://doaj.org/article/2326aa33e5f044a191bf2a2380e06b6b