Results 81 to 90 of about 117,475 (298)

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

Design and implementation of a filter engine for semantic web documents [PDF]

, 2005
This report describes our project that addresses the challenge of changes in the semantic web. Some studies have already been done for the so-called adaptive semantic web, such as applying inferring rules.
Hinze, Annika, Kozuka, Takanori
core   +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

Borophene: Crucial Challenges and the Way Forward

Advanced Science, EarlyView.
This review explores the challenges and progress in borophene research, focusing on synthesis strategies, structural properties, and potential applications. It highlights key experimental breakthroughs, discusses theoretical insights into borophene's unique features, and addresses pathways for overcoming stability and scalability issues.
Zhixuan Li, Jeyaraman Sankar, Prashant Kumar, Ajayan Vinu   +3 more
wiley   +1 more source

Learnable Diffusion Framework for Mouse V1 Neural Decoding

Advanced Science, EarlyView.
We introduce Sensorium‐Viz, a diffusion‐based framework for reconstructing high‐fidelity visual stimuli from mouse primary visual cortex activity. By integrating a novel spatial embedding module with a Diffusion Transformer (DiT) and a synthetic‐response augmentation strategy, our model outperforms state‐of‐the‐art fMRI‐based baselines, enabling robust
Kaiwen Deng, Peter S. Schwendeman, Yuanfang Guan   +2 more
wiley   +1 more source

The Development of Basque Subject Pronoun Expression in Bilingual School-Age Children

Borealis: An International Journal of Hispanic Linguistics
Acquiring full mastery of the pragmatic constraints regulating null/overt pronominal subjects in null subject languages like Basque is a prolonged and cognitively taxing process because pronominal distribution is pragmatically conditioned in discourse ...
Eider Etxebarria, Silvina Montrul
doaj   +1 more source

Null Subjects in European and Brazilian Portuguese

Journal of Portuguese Linguistics, 2005
The goals of this paper are twofold: a) to provide a structural account of the effects of the informal ‘Avoid Pronoun Principle’, proposed in Chomsky (1981: 65) for the Null Subject Languages (NSLs), and b) to compare, in European and Brazilian ...
Maria do Pilar Pereira Barbosa, Maria Eugênia Lammoglia Duarte, Mary Aizawa Kato   +2 more
doaj   +2 more sources

A Non-Null Annotation Inferencer for Java Bytecode [PDF]

, 2008
We present a non-null annotations inferencer for the Java bytecode language. We previously proposed an analysis to infer non-null annotations and proved it soundness and completeness with respect to a state of the art type system.
Hubert, Laurent
core   +6 more sources

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source

Toward a uniform account of scrambling and clitic doubling [PDF]

, 2008
A commonly held view in the literature on Scrambling and Clitic Doubling is that both constructions are sensitive to Specificity. For this reason Sportiche (1992) proposes to unify the two, an approach which has become quite standard in the relevant ...
Alexiadou, Artemis, Anagnostopoulou, Elena   +1 more
core