Results 31 to 40 of about 24,141,278 (256)
Objective: The primary objective of this study was to explore different dimensions of Journal of the Medical Library Association (JMLA) authorship from 2006–2017.
Rebecca Reznik-Zellen +5 more
doaj +1 more source
Hardware-accelerated interactive data visualization for neuroscience in Python. [PDF]
Large datasets are becoming more and more common in science, particularly in neuroscience where experimental techniques are rapidly evolving. Obtaining interpretable results from raw data can sometimes be done automatically; however, there are numerous ...
Kenneth D Harris +5 more
core +1 more source
Towards a Phenomenographic Framework for Exploratory Visual Analysis of Bibliographic Data.
A recurring challenge when studying history of translation is interpreting catalogue metadata. On one hand such interpretation is limited by the fact that data present in catalogue records is tabular and nominative, and not quantitative. On the other hand, such research is guided by tacit knowledge of scholars in the humanities, and thus it could be ...
Ruskov M., Sullam S.
openaire +2 more sources
Bibliometry coupling is used to process bibliographic data to assert existing latent information on publication material. We apply here this technique on patent data gathered from the OPS web service to enhance the exploration process of patents using ...
David Reymond, Jessica Dematraz
doaj +1 more source
What values does infrastructure-building represent? This article begins by situating scholarly practices around infrastructure within a broader transformation of twenty-first century life and indeed scholarship and learning by infrastructures, and distinguishing scholarly infrastructure from other kinds of infrastructure designed to share information ...
openaire +2 more sources
Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng +24 more
wiley +1 more source
The objective of this paper is to introduce the workflow of the AVOBMAT (Analysis and Visualization of Bibliographic Metadata and Texts) multilingual research tool, which enables researchers to critically analyse bibliographic data and texts at scale ...
Róbert Péter +4 more
doaj +1 more source
How can additive manufacturing enable components that sense, adapt, heal, and power themselves? This review synthesizes recent advances in smart functionalities, manufacturing technologies, and intelligent design strategies, revealing a pathway toward fully integrated, autonomous, and multifunctional systems across diverse engineering sectors. Additive
Aiswarya Rony +3 more
wiley +1 more source
Scientometric analysis of research on trachoma in Brazil, 2000–2020
OBJECTIVE To analyze the scientometric profile of research on trachoma in Brazil. METHODS Bibliographic research of publications on trachoma in Brazil indexed by the Scopus database from 2000 to 2020, based on specific criteria.
Adjoane Maurício Silva Maciel +6 more
doaj +2 more sources
ABSTRACT Background Endoscopic dilation is first‐line therapy for symptomatic benign esophageal strictures but remains operator‐dependent. Artificial intelligence (AI) could support assessment, risk stratification, and documentation; however, evidence from adjacent tasks is often mistaken for procedure‐specific validation.
Ahmed A. Salman, Mohamed A. Salman
wiley +1 more source

