Results 111 to 120 of about 167,607,204 (253)
The rapid integration of generative and agentic artificial intelligence (AI) into higher education presents new opportunities for efficiency, accessibility, and personalised learning, particularly within resource-constrained contexts.
Kavisha Nandhlal, Gabriel Kabanda
doaj +1 more source
Dual‐Module Near‐Infrared Fluorophores Discovery System via Knowledge Transfer
This study presents a dual‐module deep learning system for the design of near‐infrared (NIR) fluorophores. A large molecular library is generated and analyzed, leading to the suggestions of promising candidates. The effectiveness of the system is further validated through the synthesis, characterization, and in vivo imaging, demonstrating its potential
Yixin Zhu +7 more
wiley +1 more source
This study examines whether an optimized Selection–Design–Organization–Assessment (SDOA) instructional model cultivates primary students' critical thinking (CT) and transfers across cultures.
Siliang Yu, Yi Li, Cheng Yao, Chao Wang
doaj +1 more source
StackingNet: Collective Inference Across Independent AI Foundation Models
ABSTRACT Artificial intelligence (AI) built on large foundation models has transformed language understanding, computer vision, and reasoning, yet these systems remain isolated and cannot readily share their capabilities. Coordinating the complementary strengths of independently developed, black‐box foundation models is essential for trustworthy ...
Siyang Li +4 more
wiley +1 more source
Judgment aggregators and Boolean algebra homomorphisms [PDF]
The theory of Boolean algebras can be fruitfully applied to judgment aggregation: Assuming universality, systematicity and a sufficiently rich agenda, there is a correspondence between (i) non-trivial deductively closed judgment aggregators and (ii ...
Frederik Herzberg
core
This qualitative study examines how 81 pre-service mathematics teachers articulate and justify criteria for judging whether a mathematical activity is worthwhile.
Bahadır Yildiz
doaj +1 more source
An empirical‐aided active learning framework is developed to optimize high‐throughput laser‐induced photothermal annealing of silicon suboxide anodes. By integrating probabilistic machine learning with empirical domain knowledge, this approach achieves optimal electrochemical performance using limited experiments.
Chaeyoung Park +3 more
wiley +1 more source
A “nutritional trap” strategy centered on disrupting bacterial iron homeostasis is proposed. The synthesized Bi‐TP@FU (TBF) can target Helicobacter pylori, interfere with the bacterial iron uptake and utilization processes to disrupt its iron homeostasis, induce bacterial death, and meanwhile preserve the balance of the intestinal flora.
Tianye Fang +13 more
wiley +1 more source
Conceptual illustration of a Global Ecosystem Methane Observing System (GEM‐OS) integrating satellites, aircraft, atmospheric networks, and ecosystem measurements to quantify methane emissions from anthropogenic and natural sources. The multi‐scale observing framework improves source attribution, reduces uncertainty in regional methane budgets, and ...
P. Ciais +32 more
wiley +1 more source
Closing the Empirical Loop: Autonomous AI Agents Conduct End‐to‐end Research With Human Participants
A multi‐agent AI system autonomously executes the complete scientific workflow, from hypothesis to manuscript, across three psychological studies involving 288 participants. The system designs experiments, collects real world data, develops analysis pipelines, and writes manuscripts with theoretical rigor comparable to experienced researchers.
Gabrielle Wehr +6 more
wiley +1 more source

