Zobrazeno 1 - 10
of 183
pro vyhledávání: '"Chen Zhenglin"'
Recent advancements in protein structure prediction, particularly AlphaFold2, have revolutionized structural biology by achieving near-experimental accuracy ($\text{average RMSD} < 1.5\text{\AA}$). However, the computational demands of these models (
Externí odkaz:
http://arxiv.org/abs/2410.21283
Diabetic foot patients face persistent, challenging wounds, prompting a quest for innovative therapies. Hydrogel, a promising modality, is increasingly recognized for its potential in diabetic wound care. This review examines hydrogel's emergence as
Externí odkaz:
http://arxiv.org/abs/2406.00297
In the field of environmental toxicology, rapid and precise assessment of the inflammatory response to pollutants in biological models is critical. This study leverages the power of deep learning to enable automated assessments of zebrafish, a model
Externí odkaz:
http://arxiv.org/abs/2406.00603
Autor:
Peng, Boyuan, Chen, Jiaju, Githinji, P. Bilha, Gul, Ijaz, Ye, Qihui, Chen, Minjiang, Qin, Peiwu, Huang, Xingru, Yan, Chenggang, Yu, Dongmei, Ji, Jiansong, Chen, Zhenglin
Cell segmentation is essential in biomedical research for analyzing cellular morphology and behavior. Deep learning methods, particularly convolutional neural networks (CNNs), have revolutionized cell segmentation by extracting intricate features fro
Externí odkaz:
http://arxiv.org/abs/2404.08549
Autor:
Deng, Jiaming, Chen, Zhenglin, Chen, Minjiang, Xu, Lulu, Yang, Jiaqi, Luo, Zhendong, Qin, Peiwu
Mycoplasma pneumoniae pneumonia (MPP) poses significant diagnostic challenges in pediatric healthcare, especially in regions like China where it's prevalent. We introduce PneumoniaAPP, a mobile application leveraging deep learning techniques for rapi
Externí odkaz:
http://arxiv.org/abs/2404.00549
Autor:
Githinji, P. Bilha, Yuan, Xi, Chen, Zhenglin, Gul, Ijaz, Shang, Dingqi, Liang, Wen, Deng, Jianming, Zeng, Dan, yu, Dongmei, Yan, Chenggang, Qin, Peiwu
Realizing sufficient separability between the distributions of healthy and pathological samples is a critical obstacle for pathology detection convolutional models. Moreover, these models exhibit a bias for contrast-based images, with diminished perf
Externí odkaz:
http://arxiv.org/abs/2403.02307
We developed a Bessel light sheet fluorescence microscopy (LSFM) system to enable high-speed, wide-field intra-vital imaging of zebrafish and other thick biological samples. This system uses air objectives for the convenient mounting of large samples
Externí odkaz:
http://arxiv.org/abs/2311.02441
Autor:
Zhu, Qianyun, Xie, Yifeng, Ye, Fangyang, Gao, Zhenyuan, Che, Binjie, Chen, Zhenglin, Yu, Dongmei
Augmented reality becomes popular in education gradually, which provides a contextual and adaptive learning experience. Here, we develop a Chinese herb medicine AR platform based the 3dsMax and the Unity that allows users to visualize and interact wi
Externí odkaz:
http://arxiv.org/abs/2309.13909
Autor:
Chen, Zhenglin, Yang, Jiaqi, Zhang, Likun, Guana, Haifei, Lei, Zhengyang, Zhang, Xiaopeng, Yang, Canhui, Zhua, Ying, Sun, Qianhui, Xua, Lulu, Zhanga, Ziheng, Zeng, Sen, Wang, Chuhui, Yan, Rongxu, Zhang, Chong, Lobie, Peter E, Yu, Dongmei, Qin, Peiwu, Zhang, Can Yang
Next-generation touch panels are poised to benefit from the use of stretchable and transparent soft ionic conductors, but these materials face several challenges in practical application, including structural damage, loss of functionality, and device
Externí odkaz:
http://arxiv.org/abs/2308.14006
Autor:
Yang, Jiaqi, Duan, Aochuan, Li, Zhiling, Chen, Zhenglin, Xu, Qiongying, Huang, Tianyi, Liu, Wenzong, Wang, Aijie
Publikováno v:
In Science of the Total Environment 15 December 2024 956
