Results 211 to 220 of about 776,491 (337)

Toward Psychometric Learning Analytics: Augmenting the Urnings Algorithm with Response Times

open access: yesJournal of Educational Measurement, Volume 63, Issue 1, Spring 2026.
Abstract Adaptive learning systems (ALS) aim to tailor the educational material to match the student's needs, ultimately improving the learning outcomes. An ALS dynamically adjust the level of practice based on the student's ability; therefore, obtaining accurate ability estimates is crucial.
Bence Gergely, Maria Bolsinova
wiley   +1 more source

A Mixture Transition Distribution Modeling for Higher‐Order Circular Markov Processes

open access: yesJournal of Time Series Analysis, Volume 47, Issue 2, Page 304-320, March 2026.
ABSTRACT This study considers the stationary higher‐order Markov process for circular data by employing the mixture transition distribution modeling. The underlying circular transition distribution is based on Wehrly and Johnson's bivariate joint circular models.
Hiroaki Ogata, Takayuki Shiohama
wiley   +1 more source

Nutritional Anemia Reductions Due to Food Fortification Among Women of Childbearing Age: A Literature Review and Bayesian Meta‐Analysis

open access: yesMaternal &Child Nutrition, Volume 22, Issue 1, March 2026.
ABSTRACT Food fortification can deliver essential micronutrients to populations at a large scale, thereby reducing nutritional anemia. This study aimed to review and meta‐analyze the literature on the impact of wheat flour, maize flour, rice, and oil (singly or combined) fortification on women's (10–49 years) hemoglobin and anemia.
Andrea D. Dorbu   +7 more
wiley   +1 more source

Entropy rigidity for cusped Hitchin representations

open access: yesJournal of Topology, Volume 19, Issue 1, March 2026.
Abstract We establish an entropy rigidity theorem for Hitchin representations of geometrically finite Fuchsian groups which generalizes a theorem of Potrie and Sambarino for Hitchin representations of closed surface groups. In the process, we introduce the class of (1,1,2)‐hypertransverse groups and show for such a group that the Hausdorff dimension of
Richard Canary   +2 more
wiley   +1 more source

Generative Deep Learning for Advanced Battery Materials

open access: yesBatteries &Supercaps, Volume 9, Issue 2, February 2026.
This review explores the role of generative deep learning (DL) in battery materials analysis and highlights the fundamental principles of generative DL and its applications in designing battery materials. The importance of using multimodal data is underscored to effectively address the challenges faced during the development of battery materials across
Deepalaxmi Rajagopal   +3 more
wiley   +1 more source

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