Results 111 to 120 of about 3,327 (217)

Opening the Black Box of Nonprofit Reputation and Volunteer Attraction With Supervised Machine Learning

Nonprofit Management and Leadership, EarlyView.
ABSTRACT With the aim to explore the potential of machine learning for nonprofit research, this article contrasts traditional linear regression with four contemporary supervised machine learning approaches. Concretely, we predict (1) reputation ratings and (2) the total number of volunteers for 4021 non‐profit organizations in the U.S.
Moritz Schmid, Hannes Lampe, Jurgen Willems   +2 more
wiley   +1 more source

Machine learning classification of cycloplegic refractive status in children and adolescents using non-cycloplegic data across ten provincial-level administrative divisions. [PDF]

BMC Med Inform Decis Mak
Liu K, Luo H, Chen Y, E B, Kuang H, Zhang C, Guo X.   +6 more
europepmc   +1 more source

The disruption of seed dispersal networks: disentangling the effects of habitat loss and fragmentation

Oikos, EarlyView.
Seed dispersal by frugivores is a central process linking plant reproduction, animal foraging, population persistence, and ecosystem resilience. Currently, the spatial template sustaining these interactions is rapidly reconfigured by habitat loss and fragmentation promoted by human activity.
Eliana Cazetta, Paulo R. Guimarães Jr
wiley   +1 more source

The role of cognitive function in predicting metabolic risk in schizophrenia: a multi-model comparison incorporating clinical features. [PDF]

Front Psychiatry
Li R, Ren X, Jiang T, Huo J, Ping J, Zhu S, Luo A.   +6 more
europepmc   +1 more source

Manufacturability‐Aware Multi‐Objective Screening of Filament‐Wound Type IV Pressure‐Vessel Cylindrical Sections Using Dual‐Pressure Hashin Constraints

Polymer Composites, EarlyView.
Manufacturability‐aware multi‐objective screening of Type IV filament‐wound composite pressure‐vessel cylindrical sections toward lightweight and high‐strength designs. ABSTRACT A manufacturability‐aware preliminary screening framework is proposed for the straight cylindrical section of filament‐wound Type IV composite pressure vessels.
Önder Albayrak, Ahmet Çalık
wiley   +1 more source

Artificial intelligence techniques for classification of Alzheimer's disease using neuroimaging data: a review. [PDF]

Front Artif Intell
Nibila Y, Sivagami M.
europepmc   +1 more source

Poly‐Ether‐Ether‐Ketone Melt Behavior in Fused Deposit Modeling Printing Moves

Polymer Engineering &Science, EarlyView.
A thin solidified layer forms at the print bed during FDM of PEEK, reducing the effective shear height and raising the effective shear rate above the nominal value. Surface defects emerge once the effective shear rate exceeds a critical value of approximately 750 s−1.
Paul Sager, Dan Komorr, Jan‐Malte Dellmuth, Ahmad Zeinolebadi, Rainer Adelung   +4 more
wiley   +1 more source

Enhanced SQL injection detection using chi-square feature selection and machine learning classifiers. [PDF]

Front Big Data
Casmiry E, Mduma N, Sinde R.
europepmc   +1 more source

Experimental and Modeling Investigation of Seawater Hydrolysis Effects on Aramid Fiber Rupture Behavior

Journal of Polymer Science, EarlyView.
Hydrolytic aging in seawater produces markedly different mechanical responses among commercial Aramid fibers. While some fibers exhibit progressive degradation, others maintain stable or even improved tensile behavior. Experimental yarn‐scale testing combined with mathematical degradation modeling and Arrhenius‐based lifetime prediction provides new ...
Daniel Magalhães da Cruz, Ignacio Melito, Tales Luiz Popiolek Júnior, Jakson Manfredini Vassoler, Felipe Tempel Stumpf, Fernanda Mazuco Clain, Carlos Eduardo Marcos Guilherme   +6 more
wiley   +1 more source

Study on urban residents' travel mode choice based on the CART-Apriori method. [PDF]

Sci Rep
Song H, Wang X, Tian W, Shi L, Li S.
europepmc   +1 more source