Results 161 to 170 of about 794,201 (275)

Analysis of Students’ Scientific Reasoning Profiles Using the Lawson’s Classroom Test of Scientific Reasoning

JPFT (Jurnal Pendidikan Fisika dan Teknologi)
This study investigates the scientific reasoning profiles of physics education students using Lawson’s Classroom Test of Scientific Reasoning (LCTSR).
Hebron Pardede, Mariana Surbakti, Bajongga Silaban   +2 more
doaj  

Numeracy and pathological anxiety: the role of numerical and probabilistic reasoning in risk distortion. [PDF]

Cogn Behav Ther
Quiles JRG, Schubert FT, Schmidt NB.
europepmc   +1 more source

Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries

Advanced Materials, EarlyView.
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi, Bo Jiang, Jingcheng Zhang, Xiaodong Shao, Peixun Xiong, Lutong Shan, Shengyang Huang, Mengfang Liang, Mengyao Chang, Fangyan Liu, Wenwu Li, Baoyu Xia, Wei Ji, Ho Seok Park   +13 more
wiley   +1 more source

A Probabilistic Theory of Abductive Reasoning

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021
Nicolas A. Espinosa Dice, Megan L. Kaye, Hana Ahmed, George D. Montañez   +3 more
openaire   +2 more sources

Artificial Intelligence Meets Micro/Nanorobotics

Advanced Materials, EarlyView.
Artificial intelligence is transforming micro‐ and nanorobots from externally controlled, task‐specific machines into adaptive, autonomous systems. Machine learning, multimodal perception, digital twins, AI‐guided materials and geometry design enhance propulsion, localization, decision‐making, whichaccelerates clinical and environmental applications ...
Fatma M. Yurtsever, Minitha Cherukutty Ramakrishnan, Ian Kuula Ross, Ivan Zelinka, Hamed Shahsavan, Michal Otyepka, Martin Pumera   +6 more
wiley   +1 more source

A neural code supporting prospective probabilistic reasoning for instrumental information demand in humans. [PDF]

Commun Biol
Singletary NM, Horga G, Gottlieb J.
europepmc   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Highly parallel and ultra-low-power probabilistic reasoning with programmable gaussian-like memory transistors. [PDF]

Nat Commun
Lee C, Rahimifard L, Choi J, Park JI, Lee C, Kumar D, Shukla P, Lee SM, Trivedi AR, Yoo H, Im SG.   +10 more
europepmc   +1 more source

Photocatalytic Water Splitting on the Lunar Surface: Prospects for In Situ Resource Utilization

Advanced Materials Interfaces, EarlyView.
Water has been found in craters on the moon nearby locations which are illuminated >80% of the time. Photocatalysis uses energy from sunlight to drive chemical reactions such as water splitting to produce oxygen and hydrogen. It is a scalable technology that requires lighter equipment and utilizes resources available on the moon. ABSTRACT The discovery
Ranjani Kalyan, Thomas D. Small, Gregory F. Metha, Mahmoud Adel Hamza, Thomas J. O'Dea, Yideng Shen, Cameron J. Shearer   +6 more
wiley   +1 more source

Probabilistic quantitative temporal constraints: Representing, reasoning, and query answering

, 2018
In many applications and domains, temporal constraints between actions, and their probabilities play an important role. We propose the first approach in the literature coping with probabilistic quantitative constraints. To achieve such a challenging goal,
Andolina, A, Terenziani, P
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