Results 51 to 60 of about 3,437,889 (360)

Application of Text Mining to the Analysis of Climate-Related Disclosures

open access: yesSocial Science Research Network, 2020
In this article we apply text mining techniques to analyse the TCFD recommendations on climate-related disclosures of the 12 significant Spanish financial institutions using publicly available corporate reports from 2014 until 2019.
Angel Ivan Moreno, Teresa Caminero
semanticscholar   +1 more source

Substrate specificities in Salmonella typhi outer membrane protease (PgtE) from omptin family – An in silico proteomic approach

open access: yesInformatics in Medicine Unlocked, 2019
Salmonella typhi is a Gram-negative pathogen that causes severe systemic infections like typhoid fever and gastrointestinal disease in humans. PgtE belongs to the Omptin family, and plays a central role at the host-pathogen interface.
Gopinath Samykannu   +2 more
doaj   +1 more source

A Semantic Graph-Based Approach for Mining Common Topics From Multiple Asynchronous Text Streams [PDF]

open access: yes, 2017
In the age of Web 2.0, a substantial amount of unstructured content are distributed through multiple text streams in an asynchronous fashion, which makes it increasingly difficult to glean and distill useful information.
Guo Weiwei   +6 more
core   +1 more source

Ontology of core data mining entities [PDF]

open access: yes, 2014
In this article, we present OntoDM-core, an ontology of core data mining entities. OntoDM-core defines themost essential datamining entities in a three-layered ontological structure comprising of a specification, an implementation and an application ...
A Bernstein   +43 more
core   +1 more source

Combining Three Peripheral Blood Biomarkers to Stratify Rheumatoid Arthritis‐Associated Interstitial Lung Disease Risk

open access: yesArthritis Care &Research, Accepted Article.
Objective The purpose was to evaluate a biomarker score consisting of MUC5B rs35705950 promoter variant, plasma matrix metalloproteinase (MMP)‐7, and serum anti‐malondialdehyde‐acetaldehyde (anti‐MAA) antibody for RA‐associated interstitial lung disease risk stratification. Methods Using a multicenter cohort of US veterans with RA, we performed a cross‐
Kelsey Coziahr   +16 more
wiley   +1 more source

Trace Nickel Activated Biphasic Core‐CuOii/Shell‐CuOi Secondary Microspheres Enable Room Temperature Parts‐Per‐Trillion‐Level NO2 Detection

open access: yesAdvanced Engineering Materials, EarlyView.
An idea of designing novel sensors is proposed by creating appropriate Schottky barriers and vacancies between isomorphous Core‐CuOii/ Shell‐CuOi secondary microspheres and enhancing catalytic and spill‐over effects, and electronegativity via spontaneous biphasic separation, self‐assembly, and trace‐Ni‐doping.
Bala Ismail Adamu   +8 more
wiley   +1 more source

Radiogenomic-based prediction of genetic alterations in oncogenic signaling pathways in lung cancer

open access: yesEgyptian Journal of Medical Human Genetics
Rationale and objectives Lung adenocarcinoma, a type of non-small cell lung cancer (NSCLC), originates from the peripheral lung tissue and is the most prevalent histologic subtype, constituting around 40% of cases.
Priyadharshini Jayachandran   +2 more
doaj   +1 more source

A Customizable Text Classifier for Text Mining

open access: yesData Science Journal, 2007
Text mining deals with complex and unstructured texts. Usually a particular collection of texts that is specified to one or more domains is necessary. We have developed a customizable text classifier for users to mine the collection automatically.
Yun-liang Zhang, Quan Zhang
doaj   +1 more source

Predicting real estate market trends and value using pre-processing and sentiment text mining analysis

open access: yesНедвижимость: экономика, управление, 2021
Ubiquitous growth in the text mining field is unprecedented, where social media mining is playing a significant role. Gigantic growth of text mining is becoming a potential source of crowd wisdom extraction and analysis especially in terms of text pre ...
Nikolay Sinyak   +3 more
doaj   +1 more source

What Do Large Language Models Know About Materials?

open access: yesAdvanced Engineering Materials, EarlyView.
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer   +2 more
wiley   +1 more source

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