Results 191 to 200 of about 41,060,851 (256)

Hybrid text mining models for investigative keyword expansion on child sexual abuse in the dark web. [PDF]

PLoS One
Kim JG, Kim J.
europepmc   +1 more source

Bond Energy Descriptors Enable Machine Learning With Limited Data: Design of Capping Agents for Thermoplastic Polyurethane Recycling

Advanced Intelligent Discovery, EarlyView.
Data scarcity is a critical bottleneck for machine learning in applied chemistry. We show that physics‐informed descriptors enable a simple linear model to predict the deblocking temperatures of capped diisocyanates to within 11 °C from just 19 measurements, demonstrating that embedding physical insight into descriptors, rather than relying on ...
Remsha Rafiq, Barbaro Zulueta, Hannah Zucco, Ramakrishna Suresh, Jason E. Shoemaker, Michael Call, Daylan Sheppard, Glenn Cormack, John A. Keith, Götz Veser   +9 more
wiley   +1 more source

Correction: Enhanced Prediction of Atrial Fibrillation in Patients With Ischemic Stroke Through Electronic Medical Records and Text Mining: Algorithm Development and Validation. [PDF]

JMIR Med Inform
JMIR Publications Editorial Office.
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source

Forty-year evolution of research topics in the Journal of Yeungnam Medical Science: a text mining and keyword network analysis. [PDF]

J Yeungnam Med Sci
Kang SH.
europepmc   +1 more source

Fatigue‐Driven Adaptive Assistance for a Semi‐Active Upper‐Limb Occupational Exoskeleton

Advanced Intelligent Systems, EarlyView.
Physical fatigue during a physical activity is estimated in real time to enable adaptive exoskeleton assistance. By continuously adjusting the level of support according to the user’s fatigue, this approach reduces physical demand and provides a pathway toward personalized exoskeleton assistance.
Seemab Zakir, Lorenzo Grazi, Simone Prisinzano, Francesco Giovacchini, Nicola Vitiello, Emilio Trigili, Simona Crea   +6 more
wiley   +1 more source

Health hazards associated with LNG tank truck transportation accidents in China: a text-mining analysis of accident reports and risk-management implications. [PDF]

Front Public Health
Li N, Tang Y, Zhao J.
europepmc   +1 more source

Accidents in the Chemical Industry: A Scoping Review Focused on Causal Factors

American Journal of Industrial Medicine, EarlyView.
ABSTRACT Background Although occupational safety in the chemical industry is an area of ongoing research worldwide, chemical incidents continue to occur, indicating the need to review the causes, assist in safety management, and identify problems in the quality of reporting. Methods A systematic search of studies published in English between January 1,
Željka Babić, Emin Veledar, Zrinka Franić, Franka Šakić, Mojca Dobaja Borak, Lucija Šarc, Jelena Macan, Miran Brvar   +7 more
wiley   +1 more source

From Atoms to Reactors: A Critical Review of a Decade of Machine Learning in Heterogeneous Catalysis (2017–2026)

Angewandte Chemie, EarlyView.
Machine learning has digitalized heterogeneous catalysis from the top of the length scale downward: prediction at the atom and the material is now mature, yet the reactor and the process remain the open frontier. This critical review traces a decade of progress across the full catalytic value chain and asks where the next decade of impact must be won ...
Rafael Larraz, Avelino Corma
wiley   +2 more sources

"Do It by Myself" or Autonomy, Participation, and Assistive Devices and Technology Needs of Children and Youth With Disabilities: Text Mining Analysis of a National Survey in France. [PDF]

JMIR Med Inform
Mensah Gourmel J, Bourgain M, Galloy M, Veruete M, Cornec G, Brochard S, Pons C, Benis A.   +7 more
europepmc   +1 more source