Results 101 to 110 of about 719 (168)

Infinite Ends From Finite Samples: Open‐Ended Goal Inference as Top‐Down Bayesian Filtering of Bottom‐Up Proposals

Topics in Cognitive Science, EarlyView.
Abstract The space of human goals is tremendously vast; and yet, from just a few moments of watching a scene or reading a story, we seem to spontaneously infer a range of plausible motivations for the people and characters involved. What explains this remarkable capacity for intuiting other agents' goals, despite the infinitude of ends they might ...
Tan Zhi‐Xuan, Gloria Kang, Vikash Mansinghka, Joshua B. Tenenbaum   +3 more
wiley   +1 more source

Advances in Cell Replacement Therapies for Diabetes. [PDF]

Diabetes
Hering BJ, Rickels MR, Bellin MD, Millman JR, Tomei AA, García AJ, Shirwan H, Stabler CL, Ma M, Yi P, Luo X, Tang Q, Ramachandran S, Oberholzer J, Ricordi C, Kieffer TJ, Shapiro AMJ.   +16 more
europepmc   +1 more source

PlantCV v4: Image analysis software for high‐throughput plant phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract PlantCV is an open‐source Python project aimed at developing tools to address a range of image‐based, plant phenotyping questions. PlantCV has been used for more than 10 years to automate trait collection from image data, and the newest release, PlantCV version 4, continues to lower the barrier to entry for users without substantial coding ...
Haley Schuhl, Keely E. Brown, Hudanyun Sheng, Parag K. Bhatt, Jorge Gutierrez, Dominik Schneider, Anna L. Casto, Lucia Acosta‐Gamboa, Joe G. Ballenger, Fabio Barbero, Jackson Braley, Autumn M. Brown, Leonardo Chavez, Shannon Cunningham, Malinda Dilhara, Adam M. Dimech, Joseph G. Duenwald, Annika Fischer, Jared M. Gordon, Chloe Hendrikse, Gabriela L. Hernandez, John G. Hodge, Martina Huber, Brandon M. Hurr, Sanaz Jarolmasjed, Karina Medina Jimenez, Samuel Kenney, Grant Konkel, Alexander Kutschera, Sunita Lama, Matthew Lohbihler, Argelia Lorence, Collin Luebbert, Nathaniel Ly, Heather K. Manching, Annarita Marrano, Susan Meerdink, Nicholas M. Miklave, Pavan Mudrageda, Katherine M. Murphy, J. David Peery, Ronald Pierik, Seth Polydore, Caleb Robey, Tess Rogers, Tyler J. Schultz, Eliza Seigel, Dhiraj Srivastava, Stephan Summerer, Josh Sumner, Chong Teng, Adriane E. Thompson, Jose C. Tovar, Tim van Daalen, Mark Watson, John J. Wheeler, Mark C. Wilson, Kaitlyn R. Ying, Alina Zare, Yutai Zhou, Malia A. Gehan, Noah Fahlgren   +61 more
wiley   +1 more source

Defining High‐Impact AI in Autonomous Shipping: Legal Frameworks, Supply Chain Resilience, and Maritime Safety Dimensions

Transportation Journal, Volume 65, Issue 4, Autumn 2026.
ABSTRACT The rapid emergence of Maritime Autonomous Surface Ships (MASS) has made the governance of artificial intelligence systems a question of immediate regulatory urgency. The European Union's Artificial Intelligence Act (2024) and the Republic of Korea's AI Framework Act (2025) are the first two horizontal, binding, risk‐tiered AI statutes in ...
Sihyun Kim, Tae Jung Park
wiley   +1 more source

p300: expanding beyond acetylation to mastermind lactylation-dependent tumorigenesis. [PDF]

Front Cell Dev Biol
Jiang ST, He X, Wang YW, Chen WS, Guan P.   +4 more
europepmc   +1 more source

Investigating enzyme function by geometric matching of catalytic motifs

Protein Science, Volume 35, Issue 9, September 2026.
Abstract The rapidly growing universe of predicted protein structures offers opportunities for data driven exploration but requires computationally scalable and interpretable tools. We developed a method to detect catalytic features in protein structures, providing insights into enzyme function and mechanism.
Raymund E. Hackett, Ioannis G. Riziotis, Martin Larralde, António J. M. Ribeiro, Georg Zeller, Janet M. Thornton   +5 more
wiley   +1 more source

Dysregulated programmed cell death of intestinal epithelial cells in ulcerative colitis: Molecular mechanisms and novel therapeutic interventions (Review). [PDF]

Int J Mol Med
Wu B, Su S, Li Y, Guo L.
europepmc   +1 more source

Cancer heterogeneity explored through immune cell deconvolution of the tumor microenvironment

Quantitative Biology, Volume 14, Issue 3, September 2026.
Abstract Cancer is a highly heterogeneous disease, characterized by significant variability across multiple dimensions. This diversity has been extensively studied from various perspectives. In this study, we aim to examine cancer heterogeneity through the lens of immune cell composition within the tumor microenvironment.
Limin Jiang, Chung‐I Li, Rui Xin, Jijun Tang, Yan Guo   +4 more
wiley   +1 more source

Integrated microfluidic biosensors: shaping the future of quantitative life sciences and on-chip molecular diagnostics.

Lab Chip
Naquin T, Naquin C, Wu Q, Chen Y, Canning A, Yang K, Li Y, Zhao S, Ling Y, Ma Z, Jin K, He Y, Yang S, Lee LP, Huang TJ.   +14 more
europepmc   +1 more source

Role of E-cadherin in epithelial barrier dysfunction: implications for bacterial infection, inflammation, and disease pathogenesis. [PDF]

Front Cell Infect Microbiol
Lialios P, Alimperti S.
europepmc   +1 more source