Results 91 to 100 of about 119,587 (309)

Environmental Insights and Sustainability Opportunities for Scaled‐Up MXene Production Without Etching

Advanced Science, EarlyView.
Through a systematic and comprehensive analysis of the environmental impacts for the emerging MXene synthesis pathways, this study presents process transformation and optimization opportunities for low‐carbon MXene production from laboratory to industrial scales.
Yushuai Huang, Peng Peng, Maoqiao Xiang, Fen Yue, Jiangyan Wang, Wenwei Liu, Qingshan Zhu   +6 more
wiley   +1 more source

A Survey of the Applications of Text Mining for the Food Domain

Algorithms
In the food domain, text mining techniques are extensively employed to derive valuable insights from large volumes of text data, facilitating applications such as aiding food recalls, offering personalized recipes, and reinforcing food safety regulation.
Shufeng Xiong, Wenjie Tian, Haiping Si, Guipei Zhang, Lei Shi   +4 more
doaj   +1 more source

Klastering Dokumen dengan Menambahkan Metadata Menggunakan Algoritma COATES

Kubik, 2017
Text mining adalah proses ekstraksi pola berupa informasi dan pengetahuan yang berguna dari sejumlah besar sumber data tak terstruktur. Salah satu perkembangan text mining adalah ruang lingkup perbaikan dari pemanfaatan sebuah “side information”  yang ...
Indri Nurandini, Arief Fatchul Huda
doaj   +1 more source

How Advanced Artificial Intelligence Technologies Shape Drug–Drug and Drug–Target Interaction Modeling

Advanced Science, EarlyView.
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley   +1 more source

Improving classification in protein structure databases using text mining [PDF]

, 2009
Background: The classification of protein domains in the CATH resource is primarily based on structural comparisons, sequence similarity and manual analysis.
Jones, DT, Koussounadis, A, Oliver C Redfern, Redfern, Oliver, Koussounadis Antonis, Jones David T, Redfern, OC, Redfern Oliver C, Antonis Koussounadis, David T Jones, Jones, David, Koussounadis, Antonis   +11 more
core   +1 more source

Protein Structuromics Reveals a Loop‐Controlled Half‐Open Active Pocket Conformation Throughout Fe(II)/α‐ketoglutarate‐Dependent Dioxygenase Catalytic Cycle

Advanced Science, EarlyView.
This study reveals a conserved half‐open active pocket in Fe(II)/α‐ketoglutarate‐dependent dioxygenases through protein structuromics, distinguished by structural features comprising highly flexible loop elements. Enhanced sampling simulations‐guided mutagenesis experiments elucidated how this flexible loop regulates pocket open/closed conformations ...
Lunjie Wu, Huan Liu, Songyin Zhao, Lei Qin, Jiarui Li, Jun Wang, Zixuan Dai, Jie Gu, Yan Xu, Feiran Li, Yao Nie   +10 more
wiley   +1 more source

To better benefit from shared tasks in biomedical text mining [PDF]

, 2019
présentation orale et résuméTo better benefit from shared tasks in biomedical text mining.
Bossy, Robert, Nédellec, Claire, Ba, Mouhamadou, Deleger, Louise, Eckart de Castilho, Richard, Ferré, Arnaud   +5 more
core   +2 more sources

Text-mining needs of the food microbiology research community [PDF]

, 2017
To ensure the usefulness of a bioinformatics service, analysis of user needs is an essential step. Furthermore, if the service anticipates the identified needs, acceptance by the user is easier.
Chaix, Estelle, Aubin, Sophie, Nédellec, Claire, DELEGER, Louise   +3 more
core  

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design

Advanced Science, EarlyView.
A large language model (LLM) based pipeline is developed to automatically extract a comprehensive and accurate multicomponent alloy database from literature corpus. The extracted dataset is integrated with sustainability indicators to identify potential alloys that outperform existing industrial benchmark materials in terms of both performance and ...
Aravindan Kamatchi Sundaram, Mohit Chakraborty, Sai Mani Kumar Devathi, B. Pabitramohan Prusty, Rohit Batra   +4 more
wiley   +1 more source

Modelos clásicos de recuperación de la información

Revista Integración, 2005
La recuperación de la información (RI, Information Retrieval en inglés) es una rama de la computación que se ocupa, como su nombre lo indica, de extraer información de documentos no estructurados (cartas, periódicos, artículos, etc.) de los cuales, a ...
Luis Gabriel Jaimes, Fernando Vega Riveros   +1 more
doaj