Results 61 to 70 of about 1,716,409 (245)
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
ANALISIS LOGOTERAPI TERHADAP PENGOBATAN KORBAN NAPZA DI YAYASAN MITRA ALAM SURAKARTA
One of treatment methods which begins to be developed to response various cases of drugs addiction is logotherapy. This research aims to investigate the practices of logotherapy in the rehabilitation program which was carried out for the victims of drug ...
Siti Fathonah, Indah Permatasari
doaj +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
Revolusi dalam Dua Novel Indonesia : Sebuah Bandingan
Penelitian ini beranjak dari permasalahan bagaimana gambaran masa revolusi fisik serta pengaruhnya terhadap masyarakat yang diungkapkan melalui tokoh-tokohnya dalam dua novel Indonesia yaitu Jalan tak Ada Ujung karya Mochtar Lubis (1952) dan Pulang ...
Ahmad Bahtiar +2 more
doaj +1 more source
Objective Reproductive‐age women with systemic autoimmune and rheumatic diseases (SARDs) have unique information needs related to their SARDs and reproductive health. We sought to understand their use of and receptivity to current and hypothetical generative artificial intelligence (AI) tools for health information‐seeking. Methods We conducted a cross‐
Mariam Arif +5 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
Are Latin-American repositories invisible on Google and Google Scholar? [PDF]
In this issue, not without some embarrassment, we digest a contribution from our own. The main objective of this study is to ascertain the presence and visibility of Latin American repositories in Google and Google Scholar through the application of page
Delgado López-Cózar, Emilio +3 more
core +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
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
Google Scholar as a source for citation and impact analysis for a non-ISI indexed medical journal [PDF]
It is difficult to determine the influence and impact of journals which are not covered by the ISI databases and Journal Citation Report. However, with the availability of databases such as MyAIS (Malaysian Abstracting and Indexing System), which offers ...
Zainab, A.N., Sanni, S.A.
core +2 more sources

