Results 51 to 60 of about 19,117 (256)
Blending Big Data Analytics: Review on Challenges and a Recent Study
With the collection of massive amounts of data every day, big data analytics has emerged as an important trend for many organizations. These collected data can contain important information that may be key to solving wide-ranging problems, such as cyber ...
Fairuz Amalina +6 more
doaj +1 more source
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source
Objective Orofacial manifestations are significantly impactful in patients with systemic sclerosis (SSc) yet remain understudied, with no dedicated clinical guidelines to inform their management. Methods An international online survey comprised38 questions addressing orofacial manifestations of SSc, including patients’ confidence in their treating ...
Eleni Deligianni +4 more
wiley +1 more source
What Do Large Language Models Know About Materials?
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
This longitudinal study analyzes fourteen years (2012-2025) of web analytics data from the Digital Library of the National Academy of Educational Sciences (NAES) of Ukraine to develop proxy indicators for monitoring the behavioral impact of FAIR-aligned
Alla V. Kilchenko +3 more
doaj +1 more source
A magnetically assisted snap‐through liquid crystal elastomer transforms photochemical deformation into a high‐power mechanical impulse, enabling remote microneedle actuation and highlighting its potential for future smart livestock intervention systems.
Chae Won Lee +3 more
wiley +1 more source
Data‐Driven Materials Science for Energy‐Sustainable Applications
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
Using Google Analytics for Measuring Inlinks Effectiveness [PDF]
The aim of this brief communication is to develop a tracking methodology to analyse the effectiveness of inlink visits (return visit behaviour and length of sessions). In other words, how deep do inlink visitors navigate into the website? Do all inlinks perform the same?
openaire +1 more source
Maximizing Website Performance with Google Analytics
Google Analytics is a web analytics service offered by Google that tracks and reports the website traffic. It is a widely used tool for businesses and individuals to monitor their website’s performance and gather insights to improve their online presence.
openaire +1 more source
This work prototypes a carbon nanotube‐based analog tensor core that performs in‐memory, parallel visual processing. Integrating non‐volatile memories and compact circuits, the core enables high‐speed analog matrix multiplications and can demonstrate accurate three dimensional (3D) spatial transformation and edge detection. With lightweight design, the
Jingfang Pei +11 more
wiley +1 more source

