Results 161 to 170 of about 1,389,721 (276)

Integrated Single‐Cell and Spatial Transcriptomics Reveal Cell‐Type‐Specific Immune Regulatory Networks in Maize Responding to Southern Corn Rust

Advanced Science, EarlyView.
By integrating single‐nuclei and spatial transcriptomics, this study presents a stereoscopic landscape of maize leaf to Puccinia polysora infection. Epidermal and mesophyll cells initiate primary defenses via RLPs/RLKs and jasmonic acid signaling. Cell‐cell communication analyses further reveal the underlying the dynamics of the underlying immune ...
Qiongqiong Wang, Xinyan Sun, Yingchao Sun, Zeqiang Cheng, Zixiang Cheng, Shengbo Han, Ying Feng, Wenbo Yang, Huimin Li, Meichen Zhu, Xiaoling Wu, Jinghua Zhang, Jihua Tang, Honglian Li, Yanyong Cao, Canxing Duan, Yan Shi   +16 more
wiley   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

Advanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag, Janina A. Hoffmann, Tim Rogers, Christian A. Yates   +3 more
wiley   +1 more source

TigCLaF: a cross-lingual large language model framework for sentiment-aware text classification in low-resource tigrigna. [PDF]

Sci Rep
Gebremeskel HG, Feng C, Abera AM, Binegde GN.   +3 more
europepmc   +1 more source

Endocytic Control of Cell‐Autonomous and Non‐Cell‐Autonomous Functions of p53

Advanced Science, EarlyView.
NUMB Ex3‐containing isoforms localize to the plasma membrane, where they recruit p53 through SNX9 and direct it to multivesicular bodies and exosomes. Exported p53 is taken up by neighboring cells and activates nuclear programs, revealing an intercellular, exosome‐based pathway that might help establish a tumor‐suppressive microenvironment.
Roberta Cacciatore, Andrea Basile, Stefano Freddi, Irene Schiano Lomoriello, Carlo Ribelle Zucca, Giuseppe Ciossani, Luigi Scietti, Alessandro Cuomo, Simona Ronzoni, Simone Pelicci, Mario Faretta, Elena Zaccheroni, Giuliana Pelicci, Vittoria Matafora, Angela Bachi, Rosalind Helen Gunby, Salvatore Pece, Sara Sigismund, Letizia Lanzetti, Ivan Nicola Colaluca, Pier Paolo Di Fiore   +20 more
wiley   +1 more source

Saurashtra: An Indo-Aryan language dataset. [PDF]

Data Brief
Veeramani K, Jaganathan S.
europepmc   +1 more source

Evaluating the Utilities of Foundation Models in Single‐Cell Data Analysis

Advanced Science, EarlyView.
This study delivers the first systematic, task‐level evaluation of single‐cell foundation models across eight core analytical tasks. By benchmarking 10 leading models with the scEval framework, it reveals where foundation models truly add value, where task‐specific methods still dominate, and provides concrete, reproducible guidelines to steer the next
Tianyu Liu, Kexing Li, Yuge Wang, Hongyu Li, Hongyu Zhao   +4 more
wiley   +1 more source

Paving the Way to Elucidate Hg's Role in Tumorigenesis

Advanced Science, EarlyView.
Tumorigenesis can result from diverse environmental carcinogens. Among them, mercury—a lifelong bioaccumulative Group 2B carcinogen—has tumorigenic potential that remains poorly understood due to confounding co‐exposures and limited organ‐specific data.
Shouying Li, Rong Zhong, Zhenyang Yu, Hualing Fu, Jin Chen, Jia Wei, Ningwei Zhao, Le Qu, Tiantian Li, Wenli Tang, Huan Zhong   +10 more
wiley   +1 more source

Bangla-MedER: An annotated Bangla dataset for multi-type medical entity recognition from medical text. [PDF]

Data Brief
Sheikh R, Rafiq SA, Hasan MM, Ahmed S, Aurpa TT, Akter F.   +5 more
europepmc   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

Advanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño, Víctor M. de la Oliva Roque, Javier‐Ignacio Ramirez‐Lopez, David P. Kreil, Joaquín Dopazo, Carlos Loucera   +5 more
wiley   +1 more source

AF-CuRL: Stable Reinforcement Learning for Resource-Constrained Long-Form Reasoning in Edge-Intelligent Systems. [PDF]

Sensors (Basel)
Yan Z, Wang Y, Yue Q, Wang X.
europepmc   +1 more source