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浏览/检索结果: 共6条，第1-6条 帮助 限定条件 发表日期：2023     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 Penaeid Shrimp Chromosome Studies Entering the Post-Genomic Era 期刊论文 GENES, 2023, 卷号: 14, 期号: 11, 页码: 17 作者:  Zhang, Xiaojun;  Xiang, Jianhai;  Yuan, Jianbo;  Li, Fuhua 收藏  |  浏览/下载：4/0  |  提交时间：2024/04/07 Litopenaeus vannamei  cytogenetics  genome  Hi-C  structure and function   Effect of vegetation growth on morphological traits of vegetation and biomechanical features of roots 期刊论文 PLANT AND SOIL, 2023, 页码: 17 作者:  Zhang, Yi;  Liu, Wei;  He, Siming 收藏  |  浏览/下载：92/0  |  提交时间：2024/02/27 Vegetation growth  Morphological traits  Peak pullout force  Tensile strength   Abnormality of mussel in the early developmental stages induced by graphene and triphenyl phosphate: In silico toxicogenomic data-mining, in vivo, and toxicity pathway-oriented approach 期刊论文 AQUATIC TOXICOLOGY, 2023, 卷号: 263, 页码: 11 作者:  Wang, Xiaoqing;  Li, Fei;  Meng, Xiangjing;  Xia, Chunlei;  Ji, Chenglong 收藏  |  浏览/下载：16/0  |  提交时间：2023/11/15 Plastic additives  Graphene-based nanomaterials  Toxicogenomic data mining  Combined hazards  Developmental abnormality   How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges 期刊论文 Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 605-613 作者:  Haotong Qin 收藏  |  浏览/下载：0/0  |  提交时间：2023/09/25 Google Bard, multi-modal understanding, visual comprehension, large language models, conversational AI, chatbot   Assessing the Causal Effects of Climate Change on Vegetation Dynamics in Northeast China Using Convergence Cross-Mapping 期刊论文 IEEE ACCESS, 2023, 卷号: 11, 页码: 115367-115379 作者:  Wu, Jiapei;  Zhou, Yuke;  Wang, Han;  Wang, Xiaoying;  Wang, Jiaojiao 收藏  |  浏览/下载：1/0  |  提交时间：2023/12/21 Vegetation mapping  Climate change  Atmospheric measurements  Dynamic programming  Temperature sensors  Meteorological factors  Forestry  Terrestrial atmosphere  Remote sensing  Nonlinear systems  Vegetation dynamic  climate change  causal links  convergent cross mapping  empirical dynamic model   How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges 期刊论文 Machine Intelligence Research, 2023, 卷号: 20, 期号: 5, 页码: 605-613 作者:  Haotong Qin;   Ge-Peng Ji;  Salman Khan;  Deng-Ping Fan;  Fahad Shahbaz Khan 收藏  |  浏览/下载：0/0  |  提交时间：2024/04/23 Google Bard, multi-modal understanding, visual comprehension, large language models, conversational AI, chatbot