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浏览/检索结果: 共643条，第1-10条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择发表日期升序发表日期降序题名升序题名降序提交时间升序提交时间降序作者升序作者降序 Dynamic evolution of cryptospores: The origin and rise of the land flora 期刊论文  OAI收割 EARTH-SCIENCE REVIEWS, 2026, 卷号: 277, 页码: 30 作者:  Wang, Kai（王凯）;  Xu, Hong-He（徐洪河）;  Liu, Bing-Cai（刘炳才）;  Wang, Yi（王怿）   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/05/26 Cryptospores  Origin  Evolution  Plant terrestrialization  Early Paleozoic  Early Devonian  Fossil record  Palynology   Earliest evolution of stipules among vascular plants documented in the late Paleozoic stem group of Marattiales 期刊论文  OAI收割 BMC BIOLOGY, 2025, 卷号: 23, 期号: 1, 页码: 10 作者:  Zhou, Weiming;  Sun, Wenjun;  Wang, Ting;  Li, Dandan;  Psenicka, Josef   |  收藏  |  浏览/下载：0/0  |  提交时间：2026/01/20 Marattiales  Aphlebia  Stipule origin  Evolutionary continuity  Multiple functions   Torque work of origin-destination flows: Quantifying urban place centrality from a physical perspective 期刊论文  OAI收割 COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2025, 卷号: 121, 页码: 102311 作者:  Yan, Xiaorui;  Pei, Tao;  Song, Ci;  Fang, Zidong;  Liu, Xiaohan   |  收藏  |  浏览/下载：35/0  |  提交时间：2025/07/18 Place centrality  Origin-destination flows  Torque work  Multiscale analysis  Intra-day dynamic  Urban science   Multivariate discrimination of Chinese vinegars using multi-element: Implications for origin traceability and dietary safety 期刊论文  OAI收割 JOURNAL OF FOOD COMPOSITION AND ANALYSIS, 2025, 卷号: 145, 页码: 107807 作者:  Li, Min;  Zhang, Qian;  Han, Guilin;  Liang, Tao;  Liu, Jinrong   |  收藏  |  浏览/下载：36/0  |  提交时间：2025/07/18 Geographical origin  Elements  Vinegar  PLS-DA  LDA   Unraveling the insect head: Segmentation and pancrustacean homologous 期刊论文  OAI收割 ARTHROPOD STRUCTURE & DEVELOPMENT, 2025, 卷号: 87, 页码: 16 作者:  Nel, Patricia;  Engel, Michael S.;  Soriano, Carmen;  Pont, Sylvain;  Jacquelin, Lauriane   |  收藏  |  浏览/下载：1/0  |  提交时间：2025/08/29 Arthropoda  Intercalary segment  Origin of tentorium  Dicondylar mandible  Lora   Exploring Origin-Dependent Susceptibility of Smooth Muscle Cells to Aortic Diseases Through Intersectional Genetics 期刊论文  OAI收割 CIRCULATION, 2025, 卷号: 151, 期号: 17, 页码: 1248-1267 作者:  Han, Ximeng;  Li, Yi;  Wang, Enci;  Zhu, Huan;  Huang, Xiuzhen   |  收藏  |  浏览/下载：47/0  |  提交时间：2025/06/23 aortic diseases  developmental origin  lineage tracing  smooth muscle cell  TGF-beta   The δ13C composition and genetic origin of a series straight long-chain alkyl naphthalene isomer pairs in the Upper Cretaceous lacustrine sediments of Songliao Basin, China 期刊论文  OAI收割 ORGANIC GEOCHEMISTRY, 2025, 卷号: 200, 页码: 11 作者:  Cao, Xinxing;  Li, Yan;  Song, Zhiguang   |  收藏  |  浏览/下载：56/0  |  提交时间：2025/04/03 Long-chain alkyl naphthalene isomer pairs  (LANs)  Carbon isotopic composition  Genetic origin  Cretaceous lacustrine shales  Songliao Basin   A gravity-inspired model integrating geospatial and socioeconomic distances for truck origin-destination flows prediction 期刊论文  OAI收割 INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2025, 卷号: 136, 页码: 104328 作者:  Zhao, Yibo;  Cheng, Shifen;  Gao, Song;  Lu, Feng   |  收藏  |  浏览/下载：9/0  |  提交时间：2026/01/21 Heavy trucks  Origin-destination flows  Gravity-inspired model  Spatial interaction  Socioeconomic distance  Geospatial distance   Predicting origin-destination flows by considering heterogeneous mobility patterns 期刊论文  OAI收割 SUSTAINABLE CITIES AND SOCIETY, 2025, 卷号: 118, 页码: 106015 作者:  Zhao, Yibo;  Cheng, Shifen;  Gao, Song;  Wang, Peixiao;  Lu, Feng   |  收藏  |  浏览/下载：59/0  |  提交时间：2025/02/24 Origin-destination flow  Spatial interaction  Urban mobility  Spatial heterogeneity  Imbalanced data learning  Graph attention network   Rapid origin discrimination of Meconopsis integrifolia coupled with machine learning techniques and multi-spectral data fusion strategies 期刊论文  OAI收割 INDUSTRIAL CROPS AND PRODUCTS, 2025, 卷号: 229 作者:  Sun, Jing;  Li, Jiamin;  Li, Duo;  Gao, Xiuzhen;  Li, Hongmei   |  收藏  |  浏览/下载：13/0  |  提交时间：2025/11/27 Origin discrimination  Multi-infrared spectral data fusion strategy  Meconopsis integrifolia  Machine learning techniques