Results 201 to 210 of about 10,309 (278)

Creation of a machine learning-based model for early identification of mild cognitive impairment risk in Parkinson's disease: A PD research center-based population study. [PDF]

J Parkinsons Dis
Yang Z, Liu S, Wang L, Duan Y, Deng Q, Sun Q, Tian J, Wang P, Zhou M.   +8 more
europepmc   +1 more source

First Record of Arrhenophagus chionaspidis Aurivillius (Hymenoptera: Encyrtidae) Parasitizing White Mango Scale in Kenya: Its Potential Distribution and Prospects in Biocontrol

Journal of Applied Entomology, Volume 150, Issue 9, Page 1289-1303, November 2026.
ABSTRACT The white mango scale, Aulacaspis tubercularis Newstead (Hemiptera: Diaspididae), is one of the most destructive pests of mango worldwide. Its current management in most of the invaded areas largely depends on the intensive use of chemical insecticides.
Francis Obala, Abdelmutalab G. A. Azrag, Rehemah Gwokyalya, Shepard Ndlela, Ingo Grass, Georg Petschenka, Sunday Ekesi, Samira A. Mohamed   +7 more
wiley   +1 more source

Taxonomic Revision of the Globally Widespread Cryptic Rhynchomonas Morphospecies Complex

Journal of Eukaryotic Microbiology, Volume 73, Issue 6, November/December 2026.
ABSTRACT Rhynchomonads are ubiquitously distributed, small, colorless, heterotrophic flagellates with confirmed occurrences in diverse aquatic and soil habitats. To date, Rhynchomonas nasuta (Stokes 1888) Klebs 1892 is the commonly accepted species. However, phylogenetic studies revealed considerable genetic divergence, suggesting that isolates of this
Julian Wagenhofer, Frank Nitsche, Hartmut Arndt   +2 more
wiley   +1 more source

Super greedy trees. [PDF]

Artif Intell Rev
Ishwaran H.
europepmc   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, Volume 28, Issue 20, 21 October 2026.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Developing a clinical case definition for Chikungunya fever in the Democratic Republic of the Congo. [PDF]

PLoS One
Vogt F, Nkuba-Ndaye A, De Weggheleire A, Makiala-Mandanda S, Mbala-Kingebeni P, Mputu-Ngoyi B, Kinganda-Lusamaki E, Pukuta E, Subissi L, De Smet B, Buyze J, Ahuka-Mundeke S.   +11 more
europepmc   +1 more source

The impact of foreign player types on lineup efficiency in the Chinese basketball association. [PDF]

Front Sports Act Living
Li Z, Lago Peñas C, Qiu M, Ren F, Zhang M.   +4 more
europepmc   +1 more source

Low-Cost Monitoring of Spatiotemporal Changes in Forest Cover: Implications for Conservation in a Case in Quindío (Colombia). [PDF]

Environ Manage
Quintero-Gallego ME, Ariza A, Vila-Ortega JJ, Quintero-Ángel M, Florez-Yepes GY.   +4 more
europepmc   +1 more source

A comparative evaluation of machine learning algorithms for predicting chicken egg weight from egg quality traits. [PDF]

Vet Anim Sci
Megersa AG.
europepmc   +1 more source

Reporting changes in right ventricular systolic pressure: insights from Classification and Regression Tree (CART) analysis. [PDF]

Echo Res Pract
Bagherzadeh SP, Malunjkar KS, Mantri NM, Celestin BE, Zamanian RT, Heidenreich P, Schnittger I, Salerno M, Oxborough D, Augustine D, Benza R, Santana EJ, Haddad F.   +12 more
europepmc   +1 more source