Results 21 to 30 of about 98,144 (247)

Annual Degradation Rate Analysis of Mono-Si Photovoltaics Systems in Thailand Using the Mixed Effects Method

open access: yesIEEE Access, 2021
The annual degradation rate (DR) of photovoltaics (PV) system is a critical factor to evaluate the energy performance and the levelized cost of electricity (LCOE) during its operation lifetime.
Ngoc Thien Le   +3 more
doaj   +1 more source

Accessibility within open educational resources and practices for disabled learners: a systematic literature review

open access: yesSmart Learning Environments, 2020
The number of disabled students is rapidly increasing worldwide, but many schools and universities have failed to keep up with their learning needs. Consequently, large numbers of disabled students are dropping out of school or university.
Xiangling Zhang   +7 more
doaj   +1 more source

Energy Production Analysis of Rooftop PV Systems Equipped with Module-Level Power Electronics under Partial Shading Conditions Based on Mixed-Effects Model

open access: yesEnergies, 2023
The rooftop photovoltaic (PV) system that uses a power optimization device at the module level (MLPE) has been theoretically proven to have an advantage over other types in case of reducing the effect of partial shading.
Ngoc Thien Le   +4 more
doaj   +1 more source

Smart Learning Services Based on Smart Cloud Computing [PDF]

open access: yesSensors, 2011
Context-aware technologies can make e-learning services smarter and more efficient since context-aware services are based on the user’s behavior. To add those technologies into existing e-learning services, a service architecture model is needed to transform the existing e-learning environment, which is situation-aware, into the environment that ...
Yong-Ik Yoon, Su-Mi Song, Svetlana Kim
openaire   +3 more sources

Application of the mixed effects model for analysing photovoltaic datasets and interpreting into meaningful insights

open access: yesIET Generation, Transmission & Distribution, 2021
Energy power studies commonly apply the analysis of variance (ANOVA) method in data analysis context to find the significant difference among many compared groups or to evaluate the impact of an influential factor.
Ngoc Thien Le   +3 more
doaj   +1 more source

Smart Augmented Learning

open access: yesTurkish Journal of Computer and Mathematics Education (TURCOMAT), 2021
Education is the foundation of our society. The most important investment we can make collectively and individually is in education. Rural education is of utmost importance to enhance and develop the livelihood of rural people indirectly. But the face of education in rural parts of the country has to be considered for a serious check-up with children ...
openaire   +2 more sources

Researching Teacher Work Motivation in Ghana through the Lens of COVID-19

open access: yesCOVID, 2023
Teachers, particularly in developing contexts, were vulnerable populations during the COVID-19 pandemic. As natural parental figures for students, they had to reconcile the dual role of ensuring the safety and health of students and their own and their ...
Michael Agyemang Adarkwah
doaj   +1 more source

Sooty Tern Optimization Algorithm-Based Deep Learning Model for Diagnosing NSCLC Tumours

open access: yesSensors, 2023
Lung cancer is one of the most common causes of cancer deaths in the modern world. Screening of lung nodules is essential for early recognition to facilitate treatment that improves the rate of patient rehabilitation.
Muhammad Asim Saleem   +5 more
doaj   +1 more source

Enzymatic degradation of biopolymers in amorphous and molten states: mechanisms and applications

open access: yesFEBS Open Bio, EarlyView.
This review explains how polymer morphology and thermal state shape enzymatic degradation pathways, comparing amorphous and molten biopolymer structures. By integrating structure–reactivity principles with insights from thermodynamics and enzyme engineering, it highlights mechanisms that enable efficient polymer breakdown.
Anđela Pustak, Aleksandra Maršavelski
wiley   +1 more source

Prediction of Myasthenia Gravis Worsening: A Machine Learning Algorithm Using Wearables and Patient‐Reported Measures

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare disorder characterized by fluctuating muscle weakness with potential life‐threatening crises. Timely interventions may be delayed by limited access to care and fragmented documentation. Our objective was to develop predictive algorithms for MG deterioration using multimodal telemedicine data ...
Maike Stein   +7 more
wiley   +1 more source

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