Results 161 to 170 of about 6,340,157 (285)

NFDI MatWerk Ontology (MWO): A BFO‐Compliant Ontology for Research Data Management in Materials Science and Engineering

Advanced Engineering Materials, EarlyView.
This article presents the NFDI‐MatWerk Ontology (MWO), a Basic Formal Ontology‐based framework for interoperable research data management in materials science and engineering (MSE). Covering consortium structures, research data management resources, services, and instruments, MWO enables semantic integration, Findable, Accessible, Interoperable, and ...
Hossein Beygi Nasrabadi, Ebrahim Norouzi, Kostiantyn Hubaiev, Jörg Waitelonis, Harald Sack   +4 more
wiley   +1 more source

Association of Use of GRADE, Protocol Registration, and Journal Impact Factor With Reporting and Methodological Quality of Systematic Reviews Published in Rehabilitation Journals: A Meta-Epidemiological Study. [PDF]

Cureus
Tsuge T, Yamamoto N, Tomita Y, Hagiyama A, Shiratsuchi D, Okamura M, Kaneko T, Suzuki K, Nakashima Y, Taito S, Yorifuji T.   +10 more
europepmc   +1 more source

Evaluating the Ability of Open-Source Artificial Intelligence to Predict Accepting-Journal Impact Factor and Eigenfactor Score Using Academic Article Abstracts: Cross-sectional Machine Learning Analysis.

J Med Internet Res, 2023
Macri C, Bacchi S, Teoh SC, Lim WY, Lam L, Patel S, Slee M, Casson R, Chan W.   +8 more
europepmc   +1 more source

Evaluating Energy Absorption Performance of Filled Lattice Structures

Advanced Engineering Materials, EarlyView.
Maximum stress must be considered to robustly evaluate energy absorber designs. This approach was applied to compare all types of absorbers in a single Ashby diagram and determine the utility of filling lattice voids with a second material. High‐performance fillers can improve the performance of lattices that are limited by buckling or catastrophic ...
Christian Bonney, William P. King, Iwona Jasiuk   +2 more
wiley   +1 more source

Editorial diversity correlates with journal impact factor and author diversity in cardiothoracic surgery. [PDF]

World J Surg
Martins RS, Umar Z, Amir MA, Jogezai ZH, Ahmed W, Barolia M, Razi SS, Poulikidis K, Latif MJ, Martin LW, Molena D, Bhora FY.   +11 more
europepmc   +1 more source

Use of the journal impact factor for assessing individual articles: Statistically flawed or not? [PDF]

F1000Res, 2020
Waltman L, Traag VA.
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Editor's Note on Recent Journal Impact Factor of Cancer Research and Treatment. [PDF]

Cancer Res Treat
Ahn YC.
europepmc   +1 more source

Structural and Chemical Engineering of Sub‐Nanochannel Membranes Toward Ion Selectivity

Advanced Functional Materials, EarlyView.
This review summarizes recent advances in structural and chemical engineering of sub‐nanochannels for ion selectivity. We first introduce fundamental ion transport mechanisms within sub‐nanochannels, followed by strategies to tune pore size, geometry, and surface functionalities, categorized into charge‐based, ion‐recognition, hydrophilic bonding, and ...
Yuyu Su, Huacheng Zhang, Tamar L. Greaves, Qi Han, Weiwei Lei, Dan Liu   +5 more
wiley   +1 more source

PCD Receives Highest 5-Year Journal Impact Factor in Its History: Celebrating and Building on 20 Years of Success With Release of 6 Collections in 2025. [PDF]

Prev Chronic Dis
Jack L.
europepmc   +1 more source