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Bamidele Michael Efuwape,Oluwabunmi Asake Efuwape
Pág. 24 - 34
Technology-enriched learning was integrated into the teaching of abstract concepts in electrical/electronic technology with investigation of its effects on students? academic performance and learning retention. A quasi-experimental design was adopted for...
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Mohammed Amin Almaiah,Masita Abdul Jalil
Pág. pp. 31 - 36
M-learning is a form of learning, which has similarities and differences with the electronic learning (e-learning). It is mainly based on the use of the mobile wireless technologies that allow for learners to easily access learning materials anytime he d...
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Nesba Yaa Anima Adzobu
Electronic learning platforms are evolving and their evaluation is becoming more complex and challenging with time. Yet, the evaluation of electronic learning services is intrinsically linked to improving the performance of documentation services. In thi...
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Yunwei Xiong, Yuhua Li, Chenyang Wang, Hanqing Shi, Sunyuan Wang, Cheng Yong, Yan Gong, Wentian Zhang and Xiuguo Zou
As a non-destructive detection method, an electronic nose can be used to assess the freshness of meats by collecting and analyzing their odor information. Deep learning can automatically extract features and uncover potential patterns in data, minimizing...
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Nisrine Berros, Fatna El Mendili, Youness Filaly and Younes El Bouzekri El Idrissi
Medicine is constantly generating new imaging data, including data from basic research, clinical research, and epidemiology, from health administration and insurance organizations, public health services, and non-conventional data sources such as social ...
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Yijun Shao, Kaitlin Todd, Andrew Shutes-David, Steven P. Millard, Karl Brown, Amy Thomas, Kathryn Chen, Katherine Wilson, Qing T. Zeng and Debby W. Tsuang
The application of natural language processing and machine learning (ML) in electronic health records (EHRs) may help reduce dementia underdiagnosis, but models that are not designed to reflect minority populations may instead perpetuate underdiagnosis. ...
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Raza Nowrozy, Khandakar Ahmed, Hua Wang and Timothy Mcintosh
This paper proposed a novel privacy model for Electronic Health Records (EHR) systems utilizing a conceptual privacy ontology and Machine Learning (ML) methodologies. It underscores the challenges currently faced by EHR systems such as balancing privacy ...
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Benyamine Abbou, Orna Tal, Gil Frenkel, Robyn Rubin and Nadav Rappoport
Background: Operating rooms are the core of hospitals. They are a primary source of revenue and are often seen as one of the bottlenecks in the medical system. Many efforts are made to increase throughput, reduce costs, and maximize incomes, as well as o...
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Svetlana Nikolaevna Vachkova, Elena Yurevna Petryaeva, Roman B. Kupriyanov and Ruslan S. Suleymanov
The transition to digital society is characterised by the development of new methods and tools for big data processing. New technologies have a substantial impact on the education sector. The article represents the results of applying big data to analyse...
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Eyal Klang, Matthew A. Levin, Shelly Soffer, Alexis Zebrowski, Benjamin S. Glicksberg, Brendan G. Carr, Jolion Mcgreevy, David L. Reich and Robert Freeman
The Epic electronic health record (EHR) is a commonly used EHR in the United States. This EHR contain large semi-structured ?flowsheet? fields. Flowsheet fields lack a well-defined data dictionary and are unique to each site. We evaluated a simple free-t...
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Islam Omirzak,Yuliya Razumova,Svetlana Nikishina
Pág. pp. 157 - 171
The present article was aimed at examining the promising capabilities of new generation mobile networks for the implementation of first-class online education based on advanced immersive technologies. The study described the main functional drivers of th...
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Toto Ruhimat,Tata Risdian Rosdiana
Pág. pp. 91 - 106
This research aims to improve students' analysis and synthesis abilities on electronic component learning material using the Research and Development (R&D) method. Data were obtained from tenth-grade students of the Industrial Electronic Engine...
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Ketao Yan, Lin Chang, Michalis Andrianakis, Vivi Tornari and Yingjie Yu
This paper presents a new processing method for denoising interferograms obtained by digital holographic speckle pattern interferometry (DHSPI) to serve in the structural diagnosis of artworks. DHSPI is a non-destructive and non-contact imaging method th...
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Hanna Kim, Young-Seob Jeong, Ah Reum Kang, Woohyun Jung, Yang Hoon Chung, Bon Sung Koo and Sang Hyun Kim
Tachycardia is defined as a heart rate greater than 100 bpm for more than 1 min. Tachycardia often occurs after endotracheal intubation and can cause serious complication in patients with cardiovascular disease. The ability to predict post-intubation tac...
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Christopher M. Horvat, Srinivasan Suresh and Robert S. B. Clark
Electronic health records (EHR) combined with robust data collection systems can be used to simultaneously drive research and performance improvement initiatives. Our Smart, Transformative, EHR-based Approaches to Revolutionizing the Intensive Care Unit ...
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Stephen Webb,Manish Malik,Mike Wilson
Pág. pp. 69 - 73
For many HE institutions, a major factor inhibiting the wider deployment of computer-based objective assessment is the lack of suitable IT suites. The advent of pervasive wifi within HE campus environments, combined with the development of portable and l...
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Francisco Javier Tapia Moreno
Pág. pp. 51 - 54
Mobile learning (m-learning) allows a person to study using a mobile computer device anywhere and anytime. In this work we report the elaboration of learning objects for the teaching of introductory statistics using cellular phones.
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Mohamed Soliman,Sghaier Guizani
Pág. pp. 34 - 37
For e-learning systems to be successful, proper understanding of the learner is crucial. This can be done with the use of learnersâ?? profiles. However, there is a need for the availability of such information for mobile learning environments to make it ...
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Mudassir M. Rashid, Mohammad Reza Askari, Canyu Chen, Yueqing Liang, Kai Shu and Ali Cinar
Artificial intelligence (AI) algorithms can provide actionable insights for clinical decision-making and managing chronic diseases. The treatment and management of complex chronic diseases, such as diabetes, stands to benefit from novel AI algorithms ana...
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Juan Chaves, Antonio A. Lorca-Marín and Emilio José Delgado-Algarra
Different studies show that mixed methodology can be effective in medical training. However, there are no conclusive studies in specialist training on advanced life support (ALS). The main objective of this research is to determine if, with mixed didacti...
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