84 hasil untuk "Jen"
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Artikel Jurnal Teks lengkap
Non-Invasive Blood Glucose Monitoring Technology: A Review
In recent years, with the rise of global diabetes, a growing number of subjects are suffering from pain and infections caused by the invasive nature of mainstream commercial glucose meters. Non-invasive blood glucose monitoring technology has become an international research topic and a new method…
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Definition, roles, and potential research issues of the metaverse in education: An artificial intelligence perspective
The metaverse has been recognized as one of the technologies with the greatest potential today. However, the use of the metaverse for educational purposes is seldom discussed. Most educators might be unaware of the features of the metaverse, not to mention the potential applications of this…
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A multi-perspective study on Artificial Intelligence in Education: grants, conferences, journals, software tools, institutions, and researchers
With the rapid development of artificial intelligence (AI) technologies and a continuously growing interest in their application in educational contexts, there has been significant growth in the scientific literature in relation to the application of AI in education (AIEd). This study aims to…
Dari koleksi institusi
- Understanding representationWebb, Jen · 2009 · Universitas Riau (UNRI)
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Environmental fluctuations and their effects on microbial communities, populations and individuals
From the homeostasis of human health to the cycling of Earth's elements, microbial activities underlie environmental, medical and industrial processes. These activities occur in chemical and physical landscapes that are highly dynamic and experienced by bacteria as fluctuations. In this review, we…
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Humans and Technology: Forms of Conjoined Agency in Organizations
Organizations are increasingly deploying technologies that have the ability to parse through large amounts of data, acquire skills and knowledge, and operate autonomously. These technologies diverge from prior technologies in their capacity to exercise intentionality over protocol development or…
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Evaluation of a decided sample size in machine learning applications
BACKGROUND: An appropriate sample size is essential for obtaining a precise and reliable outcome of a study. In machine learning (ML), studies with inadequate samples suffer from overfitting of data and have a lower probability of producing true effects, while the increment in sample size increases…
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Artikel Jurnal Teks lengkap
Application and theory gaps during the rise of Artificial Intelligence in Education
Considering the increasing importance of Artificial Intelligence in Education (AIEd) and the absence of a comprehensive review on it, this research aims to conduct a comprehensive and systematic review of influential AIEd studies. We analyzed 45 articles in terms of annual distribution, leading…
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Role of Interleukin-6 in Depressive Disorder
Major depressive disorder (MDD), which is a leading psychiatric illness across the world, severely affects quality of life and causes an increased incidence of suicide. Evidence from animal as well as clinical studies have indicated that increased peripheral or central cytokine interleukin-6 (IL-6)…
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Vision, challenges, roles and research issues of Artificial Intelligence in Education
The rapid advancement of computing technologies has facilitated the implementation of AIED (Artificial Intelligence in Education) applications. AIED refers to the use of AI (Artificial Intelligence) technologies or application programs in educational settings to facilitate teaching, learning, or…
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Emerging opportunities and challenges for the future of reservoir computing
Reservoir computing originates in the early 2000s, the core idea being to utilize dynamical systems as reservoirs (nonlinear generalizations of standard bases) to adaptively learn spatiotemporal features and hidden patterns in complex time series. Shown to have the potential of achieving…
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π‐Expanded Carbazoles as Hole‐Selective Self‐Assembled Monolayers for High‐Performance Perovskite Solar Cells
Carbazole-derived self-assembled monolayers (SAMs) are promising hole-selective materials for inverted perovskite solar cells (PSCs). However, they often possess small dipoles which prohibit them from effectively modulating the workfunction of ITO substrate, limiting the PSC photovoltage. Moreover…
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Optimizing renewable energy systems through artificial intelligence: Review and future prospects
The global transition toward sustainable energy sources has prompted a surge in the integration of renewable energy systems (RES) into existing power grids. To improve the efficiency, reliability, and economic viability of these systems, the synergistic application of artificial intelligence (AI)…
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Alcohol-Related Deaths During the COVID-19 Pandemic
Research suggests that alcohol consumption and related harms increased during the first year of the COVID-19 pandemic.Studies reported increases in drinking to cope with stress, 1 transplants for alcohol-associated liver disease, 2 and emergency department visits for alcohol withdrawal.3 We…
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Development of Dopant‐Free Organic Hole Transporting Materials for Perovskite Solar Cells
Abstract There has been considerable progress over the last decade in development of the perovskite solar cells (PSCs), with reported performances now surpassing 25.2% power conversion efficiency. Both long‐term stability and component costs of PSCs remain to be addressed by the research community…
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Artikel Jurnal
Public knowledge, attitudes and practices towards COVID-19: A cross-sectional study in Malaysia
In an effort to mitigate the outbreak of COVID-19, many countries have imposed drastic lockdown, movement control or shelter in place orders on their residents. The effectiveness of these mitigation measures is highly dependent on cooperation and compliance of all members of society. The knowledge…
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Innovation of dental education during COVID-19 pandemic
BACKGROUND/PURPOSE: The impact of the pandemic of COVID-19 has a certain influence on various walks of life around the world. Because of the pandemic of this novel coronavirus in terms of COVID-19, the social life global wide has been changed a lot. To keep the social distance between human being…
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A Large‐Scale Survey on Trauma, Burnout, and Posttraumatic Growth among Nurses during the COVID‐19 Pandemic
A large-scale survey study was conducted to assess trauma, burnout, posttraumatic growth, and associated factors for nurses in the COVID-19 pandemic. The Trauma Screening Questionnaire, Maslach Burnout Inventory, and Posttraumatic Growth Inventory-Short Form were utilized. Factors associated with…