Results 111 to 120 of about 8,063 (216)

Resolution of Null and Overt Pronouns in Catalan: An Eye Tracking Study. [PDF]

J Psycholinguist Res
Bel A, Guerra E, Ahufinger N, Andreu L, Sanz-Torrent M.   +4 more
europepmc   +1 more source

Machine learning–driven design of catalytic processes for sulfur dioxide oxidation: Lessons from the trenches

AIChE Journal, EarlyView.
Abstract Despite the growing use of ML in chemical engineering, the catalytic conversion of sulfur dioxide (SO2) to sulfur trioxide (SO3) remains underexplored from a data‐driven modeling perspective. This study evaluates an integrated workflow for literature‐derived SO2 oxidation data, combining data curation, preprocessing assessment, machine ...
Farough Agin, Jules Thibault, Clémence Fauteux‐Lefebvre   +2 more
wiley   +1 more source

Harnessing Machine Learning to Understand and Design Disordered Solids

Advanced Intelligent Discovery, EarlyView.
This review maps the dynamic evolution of machine learning in disordered solids, from structural representations to generative modeling. It explores how deep learning and model explainability transform property prediction into profound physical insight.
Muchen Wang, Yue Fan
wiley   +1 more source

Shared neural geometries for bilingual semantic representations in human hippocampal neurons. [PDF]

Cell
Yan X, Chavez AG, Franch M, Katlowitz KA, Gautam I, Kim B, Krishna A, Shrivastava A, Van Arsdel K, Belanger J, Chericoni A, Ismail T, Mickiewicz EA, Paulo D, Zhu H, Goldman AM, Krishnan V, Maheshwari A, Bartoli E, Provenza NR, Yoo SBM, Hayden BY, Sheth SA.   +22 more
europepmc   +1 more source

AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective

Advanced Intelligent Discovery, EarlyView.
The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley   +1 more source

Number comparison in bilinguals is not affected by their second language. [PDF]

Sci Rep
Göbel SM, Shiron V, Tucker M, De Bruin A.   +3 more
europepmc   +1 more source

A Critical Assessment of Bonding Descriptors for Predicting Materials Properties

Advanced Intelligent Discovery, EarlyView.
The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik, Nidal Dhamrait, Katharina Ueltzen, Christina Ertural, Philipp Benner, Gian‐Marco Rignanese, Janine George   +6 more
wiley   +1 more source

Extracting the transitivity backbone of bipartite networks. [PDF]

Nat Commun
Ramirez LS, Aliakbarisani R, Serrano MÁ, Boguñá M.   +3 more
europepmc   +1 more source

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Advanced Intelligent Discovery, EarlyView.
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang, Bing Sun, Zhigang Chen, Chenyu Zhao, Eugene Bakker, Yaojie Lei, Lingfei Zhao, Shijian Wang, Chao Liu, Virginia Xiaojun He, Bahram Shirzadi, Hao Liu, Xin Xi, Ruiliu Liu, Dongqing Wu, Guodong Long, Guoxiu Wang   +16 more
wiley   +1 more source

Syntactic change in diachrony versus contact-induced change: two sides of the same coin? [PDF]

Linguist Rev
D'Alessandro R, Putnam MT, Terenghi S.
europepmc   +1 more source