Results 91 to 100 of about 140,830 (242)

Data‐Driven Discovery of Unconventional Antiferromagnets

open access: yesAdvanced Science, EarlyView.
A high‐throughput workflow that combines the physics‐informed pre‐screening, high‐throughput exchange calculations, Luttinger‐Tisza analysis and symmetry classification is established for accurate identification of unconventional antiferromagnets from the broad structural database.
Qirui Cui   +3 more
wiley   +1 more source

Overcoming Drug Resistance by Paclitaxel Resistance in Triple‐Negative Breast Cancer

open access: yesAdvanced Science, EarlyView.
In the murine triple‐negative breast cancer (TNBC) model, chemotherapy effectively increases tumor neoantigen burden (TNB). Here, the study constructs a liposomal nanovaccine using antigens derived from in vitro chemotherapy‐treated paclitaxel‐resistant TNBC 4T1 cells.
Bo Chen   +10 more
wiley   +1 more source

A review of associative classification mining [PDF]

open access: yes, 2007
Associative classification mining is a promising approach in data mining that utilizes the association rule discovery techniques to construct classification systems, also known as associative classifiers.
Fadi Abdeljaber Thabtah, Thabtah, Fadi
core   +1 more source

China's Low‐Carbon Energy Transition Over the Past Two Decades: Experiences and Implications

open access: yesAdvanced Science, EarlyView.
China's low‐carbon energy transition features a brief decline and subsequent rebound in coal consumption, alongside the rapid expansion of renewable energy. This study develops a stage‐based analytical framework to explain this evolution from the perspectives of economic development, energy security, and environmental sustainability, revealing how ...
Yu Liu   +3 more
wiley   +1 more source

The use of additional evidence in mining usercreated descriptions for content structural design

open access: yesMATEC Web of Conferences, 2018
The use of a text mining approach for full automatic taxonomy creation for content management has proven with serious limitations. The high level semantics indicating relevant association of entities among the documents are often not explored. This study
Wu Yan
doaj   +1 more source

AS‐TLC‐Based High‐Throughput Screening Integrated with CuAAC Optimization Strategy Facilitates the Rapid Discovery of YTHDC1 Inhibitor

open access: yesAdvanced Science, EarlyView.
We developed Affinity Selection Thin‐Layer Chromatography (AS‐TLC) as a method for high‐throughput screening (HTS) of compound mixtures. Furthermore, we integrated activity assays with AS‐TLC and identified a YTH domain‐containing protein 1 (YTHDC1) inhibitor. Building on this hit, we applied copper(I)‐catalyzed azide–alkyne cycloaddition (CuAAC) click
Mingchen Wang   +19 more
wiley   +1 more source

What is Data Mining?

open access: yes, 2007
owledge presentation, where visualization and knowledge representation techniques are used to present the mined knowledge to the user. With the widely available relational database systems and data warehouses, the first four processes: data cleaning ...
Data Mining
core  

Review of the Approaches and Techniques of Text Mining in Clinical Documentation

open access: yesمجله انفورماتیک سلامت و زیست پزشکی, 2018
Introduction: With the extensive use of electronic medical records systems, a large amount of medical text data is produced daily in the hospitals and other medical environments that organizing this text information is important and necessary.
Farzaneh Feizmanesh, Ali Asghar Safaei
doaj  

Proteogenomic Profiling of Idiopathic Pulmonary Arterial Hypertension Identifies Sex‐Differential Proteins and Candidate Therapeutic Targets

open access: yesAdvanced Science, EarlyView.
An integrated proteogenomic analysis of 44,137 predominantly European‐ancestry UK Biobank participants aged 40–69 years identifies 12 robust proteins associated with idiopathic pulmonary arterial hypertension. These proteins define a high‐mortality molecular endotype, support early detection and mortality prediction, reveal sex‐differential proteomic ...
Xinjie Lin   +18 more
wiley   +1 more source

Prospecting Information Extraction by Text Mining Based on Convolutional Neural Networks–A Case Study of the Lala Copper Deposit, China

open access: yesIEEE Access, 2018
With geological big data becoming a focus of geoscience research, the vast amount of textual geoscience data provides both opportunities and challenges for data analysis and data mining.
Li Shi, Chen Jianping, Xiang Jie
doaj   +1 more source

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