Results 71 to 80 of about 3,630,262 (289)
Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
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 +4 more
wiley +1 more source
Building an Associative Classification Data Model Based on the Apriori Method
The purpose of the work is to explore the current problems and prospects of mining solution, big web data in real time, as well as the possibility of practical implementation of Web Mining technology for big web data on a practical example. Materials and
K. V. Mulyukova, V. M. Kureichik
doaj +1 more source
A deep learning–driven pipeline mining 246 million protein sequences uncovers AhPETase, an evolutionarily distinct PET hydrolase. Engineered variant AhPETaseM1 degrades post‐consumer PET microplastics under physiological conditions and reverses microplasticinduced cytotoxicity in human lung and colon cells, establishing enzymatic microplastic ...
Yuxuan Wang +9 more
wiley +1 more source
Herbivory‐Induced Stomatal Opening Triggers the Dispersal of an Invasive Insect Herbivore
The invasive leafminer Phthorimaea absoluta uniquely manipulates plant defenses by inducing stomatal opening in tomato. This response, mediated by the stomatal regulator IQM1, enhances the release of the repellent volatile benzaldehyde. This volatile triggers the dispersal of adult moths, facilitates colonization of new hosts, and leads to rapid ...
Limin Chen +10 more
wiley +1 more source
Advances in Se Wide‐Bandgap Photovoltaics and TexSe1‐x SWIR Photodiodes
In this review, fundamental properties and current challenges in Se photovoltaics (PVs) for tandem and indoor PVs and TexSe1‐x alloys for short wave infrared photodiodes are discussed. A case is made for the practicality of elemental chalcogenide optoelectronics, and a pathway toward resolving the key challenges in these respective technologies is ...
Adam D. Alfieri, Deep Jariwala
wiley +1 more source
Web Usage Mining Architecture and Applications [PDF]
The WEBMINER is a system that implements parts of this general architecture. The first part is domain dependent application. The second part is the domain independent application.
Dr. Mandeep Josan
core
A high‐throughput screening platform was established by integrating an in vivo cadaverine biosensor with a fluorescence‐activated cell sorting (FACS) system. Biosensor‐driven specific exporter tuning, pathway optimization and genome‐wide target mining were conducted to maximize cadaverine production in Escherichia coli.
Jia Feng +13 more
wiley +1 more source
Data Collection and Preprocessing in Web Usage Mining: Implementation and Analysis
Data collection and data preprocessing are crucial stages in web usage mining, mainly because of the unstructured, diverse, and noisy nature of log data. During data collection, log file datasets are loaded and merged.
Mohammed Ali Mohammed +2 more
doaj +1 more source
Visitor interaction with e-commerce websites generates large amounts of clickstream data stored in web access logs. From a business standpoint, clickstream data can be used as a means of finding information on user interest.
Saucha Diwandari +2 more
doaj +1 more source
LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides
An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu +9 more
wiley +1 more source

