Results 221 to 230 of about 4,246 (261)

Machine Learning Classification of Cognitive Status in Community-Dwelling Sarcopenic Women: A SHAP-Based Analysis of Physical Activity and Anthropometric Factors. [PDF]

Medicina (Kaunas)
Gormez Y, Yagin FH, Aygun Y, Alzakari SA, Alhussan AA, Aghaei M.   +5 more
europepmc   +1 more source

Limit theorems for integer partitions and their generalisations

, 2012
Dimbinaina Ralaivaosaona
openalex   +1 more source

Mammal Responses to Habitat Degradation Induced by Cashew Expansion in West Africa

Animal Conservation, EarlyView.
Relationships between (a) estimated mammal species richness, (b) overall mammal species photographic rate, (c) carnivore photographic rate, (d) insectivore photographic rate, (e) omnivore photographic rate and (f) herbivore photographic rate and the local habitat characteristics as denoted by the scores of the first component of the Principal Component
Daniel Na Mone, Isnaba Nhassé, João Soares, Raquel de Oliveira, Manuel Lopes‐Lima, Luís Palma, Ana Filipa Palmeirim   +6 more
wiley   +1 more source

Effective Oxidation State Analysis for Solids. [PDF]

J Chem Theory Comput
Comas-Vilà G, Pujal L, Otero-de-la-Roza A, Tiana D, Contreras-Garcia J, Salvador P.   +5 more
europepmc   +1 more source

Arithmagons and Geometrically Invariant Multiplicative Integer Partitions

, 2016
José A. Franco, Joe Champion, Jeffry W. Lyons   +2 more
openalex   +1 more source

Unveiling the factors of aesthetic preferences with explainable AI

British Journal of Psychology, EarlyView.
Abstract The allure of aesthetic appeal in images captivates our senses, yet the underlying intricacies of aesthetic preferences remain elusive. In this study, we pioneer a novel perspective by utilizing several different machine learning (ML) models that focus on aesthetic attributes known to influence preferences.
Derya Soydaner, Johan Wagemans
wiley   +1 more source

Microcanonical Rate Constants With Rice-Ramsperger-Kassel-Marcus in Eyringpy. [PDF]

J Comput Chem
Gómez-Heredia A, Dzib E, Merino G.
europepmc   +1 more source

A tutorial for understanding SEM using R: Where do all the numbers come from?

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Structural equation modeling (SEM) is often seen as a complex and difficult method, especially for those who want to understand how the numbers in SEM software output are actually computed. Although many open‐source SEM tools are now available—especially in the R programming environment—looking into their source code to understand the ...
Yves Rosseel, Marc Vidal
wiley   +1 more source

Abelian varieties of prescribed order over finite fields. [PDF]

Math Ann
van Bommel R, Costa E, Li W, Poonen B, Smith A.   +4 more
europepmc   +1 more source

Sample size determination for hypothesis testing on the intraclass correlation coefficient in a two‐way analysis of variance model

British Journal of Mathematical and Statistical Psychology, EarlyView.
Abstract Reliability evaluation is critical in fields such as psychology and medicine to ensure accurate diagnosis and effective treatment management. When participants are evaluated by the same raters, a two‐way ANOVA model is suitable to model the data, with the intraclass correlation coefficient (ICC) serving as the reliability metric.
Dipro Mondal, Alberto Cassese, Math J. J. M. Candel, Sophie Vanbelle   +3 more
wiley   +1 more source