NezhNPV, a new biocontrol agent for Nesodiprion zhejiangensis Zhou & Xiao (Hymenoptera: Diprionidae), an emerging forest pest.

Autor: Wang Q; Ecology and Nature Conservation Institute, Chinese Academy of Forestry; Key Laboratory of Forest Protection of National Forestry and Grassland Administration, Beijing, China., Zhao J; Ecology and Nature Conservation Institute, Chinese Academy of Forestry; Key Laboratory of Forest Protection of National Forestry and Grassland Administration, Beijing, China., Li E; Experimental Center of Forestry in North China, Chinese Academy of Forestry; National Permanent Scientific Research Base for Warm Temperate Zone Forestry of Jiulong Mountain in Beijing, Beijing, China., Merchant A; Department of Entomology, Martin-Gatton College of Agriculture, Food and Environment, University of Kentucky, Lexington, KY, USA., Su Z; Forestry Working Station of Wulanchabu, Wulanchabu, China., Liu Q; Department of Entomology, School of Integrative Biology, College of Liberal Arts & Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA., Zhou X; Department of Entomology, School of Integrative Biology, College of Liberal Arts & Sciences, University of Illinois Urbana-Champaign, Urbana, IL, USA.

Publikováno v: Pest management science [Pest Manag Sci] 2024 Nov 06. Date of Electronic Publication: 2024 Nov 06.

Robotic transcatheter tricuspid valve replacement with hybrid enhanced intelligence: a new paradigm and first-in-vivo study

Autor: Wang, Shuangyi, Lin, Haichuan, Xie, Yiping, Wang, Ziqi, Chen, Dong, Tan, Longyue, Hou, Xilong, Chen, Chen, Zhou, Xiao-Hu, Lin, Shengtao, Pan, Fei, So, Kent Chak-Yu, Hou, Zeng-Guang

Transcatheter tricuspid valve replacement (TTVR) is the latest treatment for tricuspid regurgitation and is in the early stages of clinical adoption. Intelligent robotic approaches are expected to overcome the challenges of surgical manipulation and

Externí odkaz: http://arxiv.org/abs/2411.12478

CAS-GAN for Contrast-free Angiography Synthesis

Autor: Huang, De-Xing, Zhou, Xiao-Hu, Gui, Mei-Jiang, Xie, Xiao-Liang, Liu, Shi-Qi, Wang, Shuang-Yi, Li, Hao, Xiang, Tian-Yu, Hou, Zeng-Guang

Iodinated contrast agents are widely utilized in numerous interventional procedures, yet posing substantial health risks to patients. This paper presents CAS-GAN, a novel GAN framework that serves as a ``virtual contrast agent" to synthesize X-ray an

Externí odkaz: http://arxiv.org/abs/2410.08490

Leveraging Web-Crawled Data for High-Quality Fine-Tuning

Autor: Zhou, Jing, Jiang, Chenglin, Shen, Wei, Zhou, Xiao, He, Xiaonan

Most large language models are fine-tuned using either expensive human-annotated data or GPT-4 generated data which cannot guarantee performance in certain domains. We argue that although the web-crawled data often has formatting errors causing seman

Externí odkaz: http://arxiv.org/abs/2408.08003

CGAP: Urban Region Representation Learning with Coarsened Graph Attention Pooling

Autor: Xu, Zhuo, Zhou, Xiao

The explosion of massive urban data recently has provided us with a valuable opportunity to gain deeper insights into urban regions and the daily lives of residents. Urban region representation learning emerges as a crucial realm for fulfilling this

Externí odkaz: http://arxiv.org/abs/2407.02074