Results 211 to 220 of about 190,253 (294)

Disrupting the Chain of Displaced Aggression: A Review and Agenda for Future Research

Journal of Organizational Behavior, EarlyView.
ABSTRACT Displaced aggression refers to instances in which a person redirects their harm‐doing behavior from a primary to a secondary, substitute target. Since the publication of the first empirical article in 1948, there has been a noticeable surge in research referencing this theory in both management and psychology journals.
Constantin Lagios, Simon Lloyd D. Restubog, Pauline Schilpzand, Kohyar Kiazad, Karl Aquino   +4 more
wiley   +1 more source

Multivariate models improve accuracy of genomic prediction for spring frost tolerance in Norway spruce. [PDF]

Plant Genome
Aro T, Tan B, Chen ZQ, Hallingbäck H, Suontama M, Westin J, Wu H, Hurry V.   +7 more
europepmc   +1 more source

Linking Age‐Diversity Practices and Company Ratings Over Time: Evidence From Employer Reviews and a Longitudinal Experiment

Journal of Organizational Behavior, EarlyView.
ABSTRACT As global populations age, organizations face increasing pressure to support an age‐diverse workforce. Although age‐diversity practices have been shown to yield individual benefits, their temporal impact on broader evaluations of the organization such as employees' company ratings remains underexplored.
Claudia C. Kitz, Kyriaki Fousiani, Susanne Scheibe, Raphael Eppler‐Hattab   +3 more
wiley   +1 more source

Mean and variance heterogeneity loci impact kernel compositional traits in maize. [PDF]

Plant Genome
Ismail YMA, Mujjabi C, Olatoye MO, Gray S, Lipka AE, Bohn MO.   +5 more
europepmc   +1 more source

Are the detection and dimensions of peri‐implant buccal bone defects influenced by different implant materials and their location? An experimental cone‐beam computed tomography study

Journal of Periodontology, EarlyView.
Abstract Background The aim of this study is to evaluate the impact of different implant materials and arrangements within the field of view (FOV) and exomass on the diagnostic accuracy and image quality of cone‐beam computed tomography (CBCT) for the detection of peri‐implant buccal bone defects of various sizes. Methods A total of 120 CBCT scans with
Yulan Wang, Matheus L. Oliveira, Dorothea Dagassan‐Berndt, Michelle Simonek, Sebastian Kühl, Michael M. Bornstein   +5 more
wiley   +1 more source

How to manage missing covariates in randomized controlled trials: a comparison of strategies. [PDF]

BMC Med Res Methodol
Zhang S, Si Y, Dziak JJ.
europepmc   +1 more source

A Novel Semi‐Quantified Method for Grading Sonographic Severity of Adenomyosis and its Relation With Clinical Symptoms

Journal of Ultrasound in Medicine, EarlyView.
Objective To correlate the sonographic severity of adenomyosis, assessed with real‐time ultrasound and a novel semi‐quantified method (XI‐VOCAL counting and categories) with adenomyosis‐associated symptoms. Methods This observational study was conducted in a tertiary referral outpatient clinic.
Lisa M. Trommelen, Cilla Verbeek, Thierry van den Bosch, Karin P. M. van Galen, Judith A. F. Huirne, Robert A. de Leeuw   +5 more
wiley   +1 more source

Artificial Intelligence‐Based Quantification to Assess the Automatic Psoriasis Area and Severity Index

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Psoriasis is a chronic inflammatory skin condition affecting millions globally, traditionally assessed via the Psoriasis Area and Severity Index (PASI). Despite its widespread use, PASI suffers from subjectivity, limited sensitivity for small lesions, and high interobserver variability.
Taig Mac Carthy, Daniel Dagnino, Alfonso Medela, Gerardo Fernández, Andy Aguilar, Antonio Martorell, Pedro Gómez‐Tejerina, Gastón Roustán‐Gullón   +7 more
wiley   +1 more source

Comparative evaluation of SNP-weighted, Bayesian, and machine learning models for genomic prediction in Holstein cattle. [PDF]

BMC Genomics
Zheng W, Zhang Q, He J, Han B, Zhang Q, Sun D.   +5 more
europepmc   +1 more source

Machine Learning Prediction of Raster Angle Effects on Mechanical Properties of Extrusion‐Based Additively Manufactured Conductive Thermoplastic Polyurethane Composites

Macromolecular Materials and Engineering, EarlyView.
This study integrates machine learning (ML) and high‐fidelity experiments to model how raster angle influences the mechanical properties of fused filament fabricated conductive TPU composites. Using Poly6 and SVR models, the approach accurately predicts stiffness, strength, and ductility.
Imran Khan, Ans Al Rashid, Muammer Koç
wiley   +1 more source