Results 171 to 180 of about 2,288,252 (331)

AutomataGPT: Transformer‐Based Forecasting and Ruleset Inference for Two‐Dimensional Cellular Automata

open access: yesAdvanced Science, EarlyView.
We introduce AutomataGPT, a generative pretrained transformer (GPT) trained on synthetic spatiotemporal data from 2D cellular automata to learn symbolic rules. Demonstrating strong performance on both forward and inverse tasks, AutomataGPT establishes a scalable, domain‐agnostic framework for interpretable modeling, paving the way for future ...
Jaime A. Berkovich   +2 more
wiley   +1 more source

Climate Change Threatens Micronutrient Density of European Winter Wheat

open access: yesAdvanced Science, EarlyView.
Micronutrients are vital for human health. Wheat is a major staple crop and a significant source of minerals and B‐vitamins. The impact of climate change on their content remains largely unknown. We evaluated micronutrient levels in European winter wheat grown under historical and projected climate conditions. Our findings indicate that future climates
Da Cao   +17 more
wiley   +1 more source

Material‐Induced Nuclear Deformation Controls Chromatin Architecture in Adipose Stem Cells

open access: yesAdvanced Science, EarlyView.
Tuning cell and cytoskeleton mechanics modulated nuclear shape and heterochromatin organization in ASCs. Distinct cytoskeletal architectures induced nuclear morphologies from oblate to prolate ellipsoids. Large elongated cells with a structured actin cap exhibited high nuclear strain, driving nuclear envelope deformation and heterochromatin ...
Carlo F. Natale   +6 more
wiley   +1 more source

The effectiveness of positive training package on the emotions and the teacher -student relationships

open access: yesمجله علوم روانشناختی, 2019
Background: Research findings have confirmed the effectiveness of positive-focused interventions on enhancing the feelings, behaviors and positive cognitions of students.
arash znobitabar, ali taghvaeinia
doaj  

Revisiting On-Line Discussion as Practice for Reflective Thinking in Three Sequential Classes

open access: yes, 2008
In a previous study, the authors questioned the potential of an on-line environment for increasing productive reflection in three sequential education classes.
Dittrich, Charles   +3 more
core  

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Size‐Modulated Mesoderm‐Endoderm Divergence and Myocardial Cavitation in Micropatterned Cardioids

open access: yesAdvanced Science, EarlyView.
Micropatterned cardioids, CRISPR‐engineered reporter hiPSCs, deep‐tissue imaging, and single‐cell RNA sequencing are integrated to model mesoderm‐endoderm co‐development. Heart‐foregut crosstalk promotes single large cavitation inside cardioids, resembling early heart chamber formation. ABSTRACT The human heart, originating from the splanchnic mesoderm,
Plansky Hoang   +12 more
wiley   +1 more source

Radical‐Mediated, Substrate‐Independent Fabrication of Hybrid Solid–Hydrogel Materials With Tunable Crosslinking: An Initiator‐ and Crosslinker‐Free Approach

open access: yesAdvanced Science, EarlyView.
This work introduces a substrate‐independent, reagent‐free plasma strategy that forms radical‐rich interlayers for covalent hydrogel attachment without initiators or crosslinkers. The long‐lived radicals drive in situ gelation, creating robust, cytocompatible hybrid solid–hydrogel constructs across diverse substrates.
Ghazal Shineh   +14 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

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