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Alexander Robitzsch
Item response theory (IRT) models are frequently used to analyze multivariate categorical data from questionnaires or cognitive test data. In order to reduce the model complexity in item response models, regularized estimation is now widely applied, addi...
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Artur Chudzik and Andrzej W. Przybyszewski
Neurodegenerative diseases (NDs), including Parkinson?s and Alzheimer?s disease, pose a significant challenge to global health, and early detection tools are crucial for effective intervention. The adaptation of online screening forms and machine learnin...
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Zimo Wang, Mengmeng Yin, Jing Han, Xuehua Wang, Jingshu Chang, Zhonghai Ren and Lina Wang
The ZRT/IRT-like proteins (ZIPs) play critical roles in the absorption, transport, and intracellular balance of metal ions essential for various physiological processes in plants. However, little is known about the pan-genomic characteristics and propert...
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Christopher Hartmann, Julia Schweikert, François Cottier, Ute Israel, Jochen Gier and Jens von Wolfersdorf
Experimental results for the transient heat transfer characteristics over a flat plate and over a plate with V-shaped ribs were compared to numerical results from a coupling environment applying FEM and CFD. In order to simulate transient effects in the ...
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Leslie R. Pendrill, Jeanette Melin, Anne Stavelin and Gunnar Nordin
The justification for making a measurement can be sought in asking what decisions are based on measurement, such as in assessing the compliance of a quality characteristic of an entity in relation to a specification limit, SL. The relative performance of...
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Joaquín Martín Marzano-Felisatti, Anna Martinez-Amaya and José Ignacio Priego-Quesada
This preliminary study aimed to assess skin temperature (Tsk) asymmetries before and after on-court training in elite young tennis players and to find the correlation between these asymmetries and demographic data, racquet characteristics, and pain and f...
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Eberechi Ichi, Faezeh Jafari and Sattar Dorafshan
Annotated datasets play a significant role in developing advanced Artificial Intelligence (AI) models that can detect bridge structure defects autonomously. Most defect datasets contain visual images of surface defects; however, subsurface defect data su...
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Lidia Loiotine, Gioacchino Francesco Andriani, Marc-Henri Derron, Mario Parise and Michel Jaboyedoff
The InfraRed Thermography (IRT) technique is gaining increasing popularity in the geosciences. Although several studies on the use of this technique for rock mass characterization were reported in the literature, its applicability is challenging in compl...
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Tianjie Zhang, Md Asif Rahman, Alex Peterson and Yang Lu
The qualitative measurement is a common practice in infrastructure condition inspection when using Infrared Thermography (IRT), as it can effectively locate the defected area non-destructively and non-contact. However, a quantitative evaluation becomes m...
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Ali K. Saleh, Zafer Sakka and Hasan Almuhanna
The early condition-based assessment of civil infrastructures plays an essential role in extending their service life, preventing undesirable sudden failures, and reducing maintenance and rehabilitation costs. One of the most commonly used and fastest no...
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