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The Effect of Healthcare Data Analytics Training on Knowledge Management: A Quasi-Experimental Field Study

Byeong Jo Kim, Maria Tomprou • Journal of Open Innovation: Technology, Market and Complexity (2021)

This study aims to provide practice-oriented evidence regarding the implementation of healthcare data analytics and its impact on the use of new data analytics tools and relevant analytical skills improvement. A quasi-experimental pre-test/...

DOAJ Open Access (DOAJ) DOI: 10.3390/joitmc7010060

Prognostic techniques for aeroengine health assessment and Remaining Useful Life estimation

Caricato A., Ficarella A., Chiodo L. Spada • E3S Web of Conferences (2021)

Predictive maintenance is the latest frontier in the management and maintenance of many industrial assets, including aeroengines. Made possible by last decades advances in monitoring equipment and machine learning algorithms, it permits ind...

DOAJ Open Access (DOAJ) DOI: 10.1051/e3sconf/202131211017

Industrial design

Nicolás Montalbán Martínez • Digital Repository (Polytechnic University of Cartagena) (2026)

This English-language learning resource introduces the concept, history, and scope of industrial design and contrasts it with craft design and engineering. It includes a reading passage with ten multiple-choice comprehension questions, a pr...

OPENALEX cc-by-nc-nd

The impact of phased university reopenings on mitigating the spread of COVID-19: a modeling study

Lior Rennert, Corey A. Kalbaugh, Christopher McMahan, Lu Shi et al. • BMC Public Health (2021)

Abstract Background Several American universities have experienced COVID-19 outbreaks, risking the health of their students, employees, and local communities. Such large outbreaks have drained university resources and forced several institu...

DOAJ Open Access (DOAJ) DOI: 10.1186/s12889-021-11525-x

Anti-Amnesic Effects of Epigallocatechin Gallate on Scopolamine-Induced Learning and Memory Dysfunction in Sprague-Dawley Rats

Min-Jeong Kim, Eun-Sang Hwang, Kwan Joong Kim, Sungho Maeng et al. • Antioxidants (2021)

Epigallocatechin gallate (EGCG) is a major flavan-3-ol of green tea polyphenols that exhibits various beneficial health effects, including antioxidant, anti-bacterial, and anti-inflammatory properties. This study aimed to evaluate whether E...

DOAJ Open Access (DOAJ) DOI: 10.3390/antiox11010001

Correlation between sarcopenia and changes in oligodendrocyte lineage cells in the brains of Alzheimer's disease model mice

Lin-lin Yao, Xiao-ting Ma, Fang-bo Li, Lin-yi Zheng et al. • Experimental Gerontology (2026)

Background: Alzheimer's disease (AD) is a neurodegenerative disorder primarily characterized by cognitive dysfunction. The discovery and identification of non-cognitive symptoms in the preclinical stage hold promise for early diagnosis and ...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.exger.2026.113057

EXARIS Model Development: Enhancing Elementary Scientific and Digital Literacy

Exsaris Januar, Nurhizrah Gistituati, Yanti Fitria, Alwen Bentri et al. • Educational Process: International Journal (2025)

Background/purpose. Study addresses the problem of low scientific and digital literacy among Grade 6 students (Phase C) in the IPAS (Science and Social Studies) subject under the Merdeka Curriculum, particularly in the theme “Our Endangered...

DOAJ Open Access (DOAJ) DOI: 10.22521/edupij.2025.18.450

Explainable machine learning in materials science

Xiaoting Zhong, Brian J. Gallagher, Shusen Liu, Bhavya Kailkhura et al. • npj Computational Materials (2022)

Abstract Machine learning models are increasingly used in materials studies because of their exceptional accuracy. However, the most accurate machine learning models are usually difficult to explain. Remedies to this problem lie in explaina...

OPENALEX cc-by DOI: https://doi.org/10.1038/s41524-022-00884-7

Big data and machine learning for materials science

Jose Fernando Rodrigues Junior, Larisa Florea, Maria Cristina Ferreira de Oliveira, Dermot Diamond et al. • Discover Materials (2021)

Herein, we review aspects of leading-edge research and innovation in materials science that exploit big data and machine learning (ML), two computer science concepts that combine to yield computational intelligence. ML can accelerate the so...

OPENALEX cc-by DOI: https://doi.org/10.1007/s43939-021-00012-0 PMC: 8054236

Power Load Probabilistic Prediction Based on Multi-Value Quantile Regression and Timing Fusion Ensemble Learning Model

Yuhang Liu, Fei Mei, Jun Zhang, Xiang Dai et al. • Entropy (2026)

The core component to ensure the refined and safe operation of distribution network scheduling is 10 kV bus load probabilistic prediction. However, existing probabilistic prediction methods suffer from insufficient dynamic feature extractio...

DOAJ Open Access (DOAJ) DOI: 10.3390/e28030329

An Introduction to Modern Astrophysics

Bradley W. Carroll, Dale A. Ostlie, Michael W. Friedlander • Physics Today (1997)

An Introduction to Modern Astrophysics is a comprehensive, well-organized and engaging text covering every major area of modern astrophysics, from the solar system and stellar astronomy to galactic and extragalactic astrophysics, and cosmol...

OPENALEX DOI: https://doi.org/10.1063/1.881827

Machine learning-based dynamic risk measurement for white sugar futures under geopolitical risks

Zihao Qiu, Siyu Chen, Zixin Feng, Ruitong Luo et al. • Frontiers in Physics (2025)

Futures, as significant financial derivatives, play a crucial role in financial markets by fulfilling price discovery functions and providing efficient risk hedging tools. Against the backdrop of geopolitical conflicts, market risk emerges ...

DOAJ Open Access (DOAJ) DOI: 10.3389/fphy.2025.1674717

A Software Quality Model Combining Demand and Delivery Perspectives to Ensure Quality in IT Implementations

Wei Xu, Klaus Greve, Marius Schlage, Justus Tillmann Holler et al. • International Journal of Management, Knowledge and Learning (2023)

In this paper we describe a model which fosters the quality of the artefact within software development projects via defined quality gates. In combination with defined roles these quality gates facilitate communication and transparency rega...

DOAJ Open Access (DOAJ) DOI: 10.53615/2232-5697.12.189-202

Edge-centric connectome-genetic markers of bridging factor to comorbidity between depression and anxiety

Zhiyi Chen, Yancheng Tang, Xuerong Liu, Wei Li et al. • Nature Communications (2024)

Abstract Depression-anxiety comorbidity is commonly attributed to the occurrence of specific symptoms bridging the two disorders. However, the significant heterogeneity of most bridging symptoms presents challenges for psychopathological in...

DOAJ Open Access (DOAJ) DOI: 10.1038/s41467-024-55008-0

To the question of foreign-language training of undergraduates of power specialities in technical establishments of higher education of Ukraine

Nataliia Bilan • Ukrainian Journal of Educational Studies and Information Technology (2019)

In the article the current state of foreign linguistic preparation of future power-engineering specialists in technical institutions of higher education is investigated and analysed. On the basis of the theoretical review of scientific and ...

DOAJ Open Access (DOAJ) DOI: 10.32919/uesit.2019.01.01

Volunteering on Heritage at Risk sites and wellbeing: A qualitative interview study

Julie Pattinson, Despina Laparidou, Joseph Akanuwe, Anna Scott et al. • Health Expectations (2023)

Abstract Introduction We explored experiences of volunteering in Heritage at Risk (HAR) projects, intended to mitigate the deterioration to historic assets, and the relationship with wellbeing. We aimed to understand the value of HAR to vol...

DOAJ Open Access (DOAJ) DOI: 10.1111/hex.13852

International Business

Alan Sitkin • Routledge eBooks (2021)

This eagerly awaited update of a popular text has been substantially revised and updated to incorporate developments in the field of International Business. It continues to do so in Alan Sitkin's characteristically direct, lively and access...

OPENALEX DOI: https://doi.org/10.4324/9781003159056