Results 191 to 200 of about 626,155 (280)

Interpretable machine learning for thermoelectric materials design with Kolmogorov-Arnold networks. [PDF]

Sci Rep
Fronzi M, Ford MJ, Nayal KS, Isayev O, Stampfl C.   +4 more
europepmc   +1 more source

Beyond BMI: Unsupervised Machine Learning Clustering of Bioelectrical Impedance Phenotypes Is Associated With Weight‐Recovery Trajectories in Anorexia Nervosa

International Journal of Eating Disorders, EarlyView.
ABSTRACT Objective To identify data‐driven body composition phenotypes in patients with moderate‐to‐extreme anorexia nervosa (AN) using machine learning (ML) clustering of bioelectrical impedance analysis (BIA) parameters, and to test whether these phenotypes have specific psychopathological and childhood trauma profiles while correlating with early ...
Emanuele Cassioli, Gaia Maiolini, Eleonora D'Areglia, Livio Tarchi, Eleonora Rossi, Veronica Ceccarelli, Cristiano Dani, Luca Zompa, Chiara Ranieri, Enrico Lodovici, Anita Nannoni, Valdo Ricca, Giovanni Castellini   +12 more
wiley   +1 more source

The key technologies of a computer-aided design system for removable partial denture frameworks. [PDF]

PLoS One
Ma G, Jiang X, Dai N, Wu Z, Ying S, Tian Z.   +5 more
europepmc   +1 more source

Reduced size of larvae and small fish linked to warming and reduced prey density

Ecography, EarlyView.
Body size is an integrative trait that has declined across many ecological assemblages in the last decades. Changes in body size of early life stages and small‐bodied fish are driven by complex interactions between size‐dependent mortality, and temperature‐ and food‐dependent growth, and can have consequences for recruitment to the adult stock and food
Max Lindmark, Malin Werner, Peter Thor, Federico Maioli, Eros Quesada, Valerio Bartolino, Philip Jacobson   +6 more
wiley   +1 more source

Beyond linearity - a new Partial Least Squares - Path Modelling (PLS-PM) inner weighting scheme for detecting and approximating nonlinear structural relationships in Structural Equation Models. [PDF]

PLoS One
Mendes JM, Coelho PS.
europepmc   +1 more source

Associations between mycorrhizal dominance and woody species diversity shift with stand development and climate across subtropical and tropical forests in Taiwan

Ecography, EarlyView.
Mycorrhizal symbioses influence woody species diversity, but whether this association shifts with forest stand development remains underexplored. Using forest inventory data across subtropical and tropical forests in Taiwan, we found that woody species diversity was lower in ectomycorrhizal (EM)‐dominated than in arbuscular mycorrhizal (AM)‐dominated ...
Albert Vilà‐Cabrera, Julen Astigarraga, Kirsten S.W. O'Sullivan, Karina E. Clemmensen, Henna Tyyskä, Sarah Greenwood, Josep Padullés Cubino, Jan‐Chang Chen, Alistair S. Jump   +8 more
wiley   +1 more source

Taxon‐dependent multisite species turnover in fragmented habitats: comparing zeta diversity across birds, butterflies, and cursorial hunting spiders

Ecography, EarlyView.
Habitat fragmentation alters species diversity and reshapes community composition. However, conventional pairwise approaches to compositional variation (i.e. beta diversity metrics) do not explicitly characterize how species sharing or turnover change with the number of habitat patches.
Shirui Yu, Yufeng Zhou, Qiyu Jiang, Jie Xie, Yan Wang, Qiwen Du, Shang Sheng, Yaqian Cui, Kai Zhang, Zhixin Wen, Hao Yu, Yu Xu   +11 more
wiley   +1 more source

Confidence interval construction for multivariable truncated spline logistic model (MTSLM). [PDF]

MethodsX
Suriaslan AS, Budiantara IN, Ratnasari V, Aydin D.   +3 more
europepmc   +1 more source

Assessing the accuracy and stability of variable importance in species distribution modelling algorithms through sample perturbations

Ecography, EarlyView.
Variable importance derived from species distribution modelling (SDM) is widely used to identify key environmental drivers of species distributions. However, the reliability of these inferences has rarely been systematically evaluated, particularly with respect to their sensitivity to individual occurrences.
He Wu, Zhaoning Wu, Yunzhi Liu, Wenfang Zhang, Jiechen Wang   +4 more
wiley   +1 more source