Results 61 to 70 of about 109,287 (258)

Blazing Signature Filter: a library for fast pairwise similarity comparisons

BMC Bioinformatics, 2018
Background Identifying similarities between datasets is a fundamental task in data mining and has become an integral part of modern scientific investigation.
Joon-Yong Lee, Grant M. Fujimoto, Ryan Wilson, H. Steven Wiley, Samuel H. Payne   +4 more
doaj   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Mechanistically Interpretable Artificial Intelligence for Designing Oxygen Electrocatalysts

Advanced Materials, EarlyView.
Mechanistically interpretable artificial intelligence screens nearly seven million perovskite compositions and identifies key descriptors—d‐p hybridization and densification resistance—that govern oxygen electrocatalysis. The discovered BaCo0.8Nb0.1Zr0.1O3‐δ achieves a record 2.68 W cm−2 peak power density at 600°C with over 500 h of durable operation ...
Xueyu Hu, Yucun Zhou, Haoyu Li, Zheyu Luo, Nai Shi, Yong Ding, Weining Wang, Weilin Zhang, Doyeub Kim, Chanho Kim, Yoojin Ahn, Nikhil Govindarajan, Minda Zou, Zhijun Liu, Yuefeng Song, Meilin Liu   +15 more
wiley   +1 more source

The BioLexicon: a large-scale terminological resource for biomedical text mining

BMC Bioinformatics, 2011
Background Due to the rapidly expanding body of biomedical literature, biologists require increasingly sophisticated and efficient systems to help them to search for relevant information. Such systems should account for the multiple written variants used
Thompson Paul, McNaught John, Montemagni Simonetta, Calzolari Nicoletta, del Gratta Riccardo, Lee Vivian, Marchi Simone, Monachini Monica, Pezik Piotr, Quochi Valeria, Rupp CJ, Sasaki Yutaka, Venturi Giulia, Rebholz-Schuhmann Dietrich, Ananiadou Sophia   +14 more
doaj   +1 more source

De Novo Autogenic Engineered Living Functional Materials

Advanced Materials, EarlyView.
A versatile platform for de novo autogenic engineered living materials is presented, leveraging protein mining, computational modeling, and synthetic biology. By reprogramming the Escherichia coli curli machinery with β‐solenoid proteins from non‐model bacteria, macroscopic biomaterials with enhanced mechanical properties, UV‐C irradiation protection ...
Hoda M. Hammad, Seth Swarnadeep, Erin C. Jackson, Nicolas Burns, Hongyu Wang, Harrison Priode, Robert B. Moore, Sanket Deshmukh, Avinash Manjula‐Basavanna, Anna M. Duraj‐Thatte   +9 more
wiley   +1 more source

Adaptive intelligent coupling control of hydraulic support and working face system for 6−10 m super high mining in thick coal seams

Meitan kexue jishu
The reserves and production of thick coal seams account for half of the total reserves and production of raw coal in China. By combing the history of thick coal seam mining, we summarize the technology and equipment development practice of thick coal ...
Huijun HAN, Guofa WANG, Yongxiang XU, Jinhu ZHANG, Sheng LEI, Yanpeng LI   +5 more
doaj   +1 more source

Environmental justice and large-scale mining

, 2017
This chapter approaches the environmental injustice of large scale metal mining from three complementary angles. Firstly, we outline some of the key biophysical features of large-scale mining activities (e.g. environmental intensity, temporal length of the activity, territorial impacts) and some of the implications for EJ.
Urkidi Azkarraga, Leire, Walter, Mariana
openaire   +2 more sources

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Research on seed node mining algorithm in large-scale temporal graph

Tongxin xuebao, 2022
Most of the existing maximizing influence algorithms based on temporal graph were not applicable for large-scale networks due to the low time efficiency or narrow influence range.Therefore, the seed node mining algorithm named CHG combining heuristic ...
Xiaohong ZOU, Chengwei XU, Jing CHEN, Biao SONG, Mingyue WANG   +4 more
doaj   +2 more sources

Driving Effects of Large-Scale Sand Mining Activities on Bacterial Communities in Subtropical River Sediments—A Case Study of the Jialing River

Microorganisms
Sand mining activities can significantly impact the microecology of rivers. Scientific studies are needed for the effective protection and restoration of river ecosystems impacted by sand mining activities.
Jia Xia, Tuo Zhang, Fei Xu, Maojin Huang, Fubin Zhang   +4 more
doaj   +1 more source