Results 141 to 150 of about 122,816 (254)

Predicting Fact-Checking Health Information Before Sharing Among People with Different Levels of Altruism: Based on the Influence of Presumed Media Influence. [PDF]

Psychol Res Behav Manag, 2023
Wu Y.
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Brytyjski fact-checking. Jen Birks: „Fact-Checking Journalism and Political Argumentation. A British Perspective”. Palgrave Pivot, Cham 2019, s. 111.

Zeszyty Prasoznawcze, 2022
Monika Szafrańska
doaj   +1 more source

Multi-agent systems and credibility-based advanced scoring mechanism in fact-checking. [PDF]

Sci Rep
Dong Y, Ito T.
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source

Large language models show Dunning-Kruger-like effects in multilingual fact-checking. [PDF]

Sci Rep
Qazi IA, Khan Z, Ghani A, Raza AA, Qazi ZA, Sajjad W, Ali A, Javaid A, Sohail MA, Azeemi AH.   +9 more
europepmc   +1 more source

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

LEAF: Learning and Evaluation Augmented by Fact-Checking to Improve Factualness in Large Language Models. [PDF]

Proc Conf Empir Methods Nat Lang Process
Tran H, Wang J, Ting Y, Yu H, Huang W, Chen T.   +5 more
europepmc   +1 more source

Femtosecond‐Laser‐Induced Physical Unclonable Random Maze Structure for Storage‐Free Encryption

Advanced Science, EarlyView.
Femtosecond‐laser‐induced gold random maze structures serve as multimodal physical unclonable functions for storage‐free encryption. Their stochastic optical, electrical, and Raman responses are generated by plasmon‐assisted Marangoni formation and converted into AES‐compatible keys without permanent secret‐key storage, offering a portable route toward
Shiru Jiang, Hongliang Li, Shengjie Ma, Sang‐Shin Lee, Lei Wang, Mengyun Hu, Heping Zeng   +6 more
wiley   +1 more source

MelAnalyze: fact-checking melatonin claims using large language models and natural language inference. [PDF]

BMC Med Inform Decis Mak
Karkera N, Ghosh S, Escames G, Palaniappan SK.   +3 more
europepmc   +1 more source