Results 91 to 100 of about 41,060,851 (256)

A realistic assessment of methods for extracting gene/protein interactions from free text [PDF]

, 2009
Background: The automated extraction of gene and/or protein interactions from the literature is one of the most important targets of biomedical text mining research.
Kabiljo, R., Clegg, AB, Renata Kabiljo, Shepherd, AJ, Kabiljo Renata, Clegg Andrew B, Andrew B Clegg, Shepherd Adrian J, Shepherd, Adrian J., Kabiljo, R, Clegg, A.B., Adrian J Shepherd   +11 more
core   +1 more source

Mechanical Distraction Engages a Neuro‐Immune Program to Drive Regenerative Soft‐Tissue Healing in Ilizarov Bone Transport

Advanced Science, EarlyView.
Ilizarov bone transport accelerates healing of soft‐tissue wounds through unclear mechanisms. In a rat model, sustained mechanical distraction elicits calcitonin gene‐related peptide (CGRP)‐dominant sensory reinnervation, creating a niche that shifts immune cells from inflammatory to repair‐promoting states and speeds re‐epithelialization.
Yueliang Zhu, Jiayu Chen, Xuehuan Wen, Kaijia Tang, Ling Gao, Chenxing Wang, Yixuan Feng, Si‐He Qin, Tao Chen, Xiaohua Yu   +9 more
wiley   +1 more source

Text Mining for Protein Docking.

PLoS Computational Biology, 2015
The rapidly growing amount of publicly available information from biomedical research is readily accessible on the Internet, providing a powerful resource for predictive biomolecular modeling.
Varsha D Badal, Petras J Kundrotas, Ilya A Vakser   +2 more
doaj   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

Advanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali, David Lehninger, Florencio Sánchez, Ignasi Fina   +3 more
wiley   +1 more source

Effective pattern taxonomy mining in text documents

, 2008
Many data mining techniques have been proposed for mining\ud useful patterns in databases. However, how to effectively\ud utilize discovered patterns is still an open research issue,\ud especially in the domain of text mining.
Yuefeng Li, Tao, Xiaohui, Wu, Sheng-Tang, Xiaohui Tao, Li, Yuefeng, Sheng-Tang Wu   +5 more
core   +1 more source

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

Advanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi, Hiba Ali, Barbara Belza, Mattia F. Palermo, Claudio Gerbaldi, Giuseppe Antonio Elia, Nagore Ortiz‐Vitoriano   +6 more
wiley   +1 more source

Nickel‐Free Perovskite Solar Cells Enabled by Self‐Assembled Monolayers: A Pathway to Efficient and Recyclable Devices

Advanced Energy Materials, EarlyView.
Replacing toxic NiOx with phenyl‐substituted phosphonic‐acid carbazole monolayers (Ph‐5PACz) yields inverted perovskite solar cells that are efficient and recyclable. The nickel‐free interface reaches 25.3% efficiency and enables closed‐loop ITO recovery with near‐98% performance retention, while life‐cycle and techno‐economic analyses confirm lower ...
Yanxue Wang, Roman Kučera, Sinuhé Perea‐Puente, Mykhailo Sytnyk, Andrew Hainer, Zijian Peng, Savannah Bennett, Juan S. Rocha‐Ortiz, Albert These, Hakan U Dag, Qi Fan, Anastasia Barabash, Zhenni Wu, Chaohui Li, Jens Hauch, Olga Kasian, Christoph J. Brabec, Ian Marius Peters   +17 more
wiley   +1 more source

Monitoring interaction and collective text production through text mining [PDF]

ETD: Educação Temática Digital, 2014
This article presents the Concepts Network tool, developed using text mining technology. The main objective of this tool is to extract and relate terms of greatest incidence from a text and exhibit the results in the form of a graph.
Macedo, Alexandra Lorandi, Behar, Patricia Alejandra, Azevedo, Breno Fabrício Terra   +2 more
doaj  

Embedded Morgan Fingerprints for More Efficient Molecular Property Predictions With Machine Learning

Advanced Intelligent Discovery, EarlyView.
High dimensionality of Morgan fingerprints causes overfitting and slow training. Embedded Morgan Fingerprint (eMFP) compresses this encoding while keeping key structural information intact. Tested on five regression models across three databases for HOMO–LUMO gap prediction, eMFP outperforms standard fingerprints, training faster on large, high ...
Emilio Nuñez‐Andrade, Isaac Vidal‐Daza, Rafael Gómez‐Bombarelli, James W. Ryan, Francisco J. Martin‐Martinez   +4 more
wiley   +1 more source

PubRunner: A light-weight framework for updating text mining results [version 2; referees: 1 approved, 2 approved with reservations]

F1000Research, 2017
Biomedical text mining promises to assist biologists in quickly navigating the combined knowledge in their domain. This would allow improved understanding of the complex interactions within biological systems and faster hypothesis generation.
Kishore R. Anekalla, J.P. Courneya, Nicolas Fiorini, Jake Lever, Michael Muchow, Ben Busby   +5 more
doaj   +1 more source