Results 151 to 160 of about 314 (211)

Navigating AI Convergence in Human–Artificial Intelligence Teams: A Signaling Theory Approach

Journal of Organizational Behavior, EarlyView.
ABSTRACT Teams that combine human intelligence with artificial intelligence (AI) have become indispensable for solving complex tasks in various decision‐making contexts in modern organizations. However, the factors that contribute to AI convergence, where human team members align their decisions with those of their AI counterparts, still remain unclear.
Andria Smith, Hunter Phoenix van Wagoner, Ksenia Keplinger, Can Celebi   +3 more
wiley   +1 more source

Explainable AI for Cotton Leaf Disease Classification: A Metaheuristic-Optimized Deep Learning Approach. [PDF]

Food Sci Nutr
Kaur G, Al-Yarimi FAM, Bharany S, Rehman AU, Hussen S.   +4 more
europepmc   +1 more source

When Does Top Management Team Diversity Matter in Large Organizations?

Journal of Organizational Behavior, EarlyView.
ABSTRACT Top management teams (TMTs) drive strategic leadership, but there is little clarity on when the composition of these upper echelons most impacts organization performance. Drawing from the categorization‐elaboration model, we study an 18‐year sample of approximately 4500 organizations and over 32 000 executives and find a positive relationship ...
Frances Fabian, James M. Plečnik, Shan Wang   +2 more
wiley   +1 more source

How Savoring Beliefs Sustain Positive Emotion Under Conditions of Job Stress: Affective Mechanisms Linking Job Stress to Burnout in Young Korean Workers

Journal of Employment Counseling, EarlyView.
ABSTRACT This study examined positive emotion as a mediator linking job stress to burnout and tested the moderating role of savoring beliefs among young Korean employees. A total of 510 participants completed measures of job stress, savoring beliefs, positive emotion, and burnout.
Hang‐Shim Lee, Young‐Seok Kim
wiley   +1 more source

Last‐minute coordination: Adapting to demand to support last‐mile operations

Journal of Operations Management, Volume 71, Issue 2, Page 176-194, March 2025.
Abstract In the highly competitive e‐commerce industry, customer‐facing warehouses are crucial as the “order penetration points” for e‐commerce last‐mile operations. This research examines how warehouses use last‐minute coordination, an unstructured mechanism, to ensure sufficient inventory at the order penetration points. Previous research has focused
Kedong Chen, Hung‐Chung Su, Kevin Linderman, William Li   +3 more
wiley   +1 more source

A Review of Simultaneous Localization and Mapping for the Robotic-Based Nondestructive Evaluation of Infrastructures. [PDF]

Sensors (Basel)
Ghadimzadeh Alamdari A, Zade FA, Ebrahimkhanlou A.   +2 more
europepmc   +1 more source

Near-native state imaging by cryo-soft-X-ray tomography reveals remodelling of multiple cellular organelles during HSV-1 infection

, 2021
Nahas KL, Connor V, Scherer KM, Kaminski CF, Harkiolaki M, Crump CM, Graham SC.   +6 more
europepmc   +1 more source

Functional alignment in robotic total knee arthroplasty provides favourable outcomes and minimal early revisions: A systematic review and meta‐analysis

Knee Surgery, Sports Traumatology, Arthroscopy, EarlyView.
Abstract Purpose Functional alignment (FA) has emerged as a personalised alignment strategy in total knee arthroplasty (TKA), enabled by robotic‐assisted technology. Although early clinical results are encouraging, evidence remains heterogeneous and long‐term safety is uncertain.
Vasileios Giovanoulis, Angelo V. Vasiliadis, Luca Andriollo, Pietro Gregori, Konstantinos Dretakis, Christos Koutserimpas, Sébastien Lustig   +6 more
wiley   +1 more source

Poisson traces, D-modules, and symplectic resolutions. [PDF]

Lett Math Phys, 2018
Etingof P, Schedler T.
europepmc   +1 more source

Machine Learning Assisted Prediction of Degradation Behavior of Poly(Lactic‐Co‐Glycolic Acid)

Materials Genome Engineering Advances, EarlyView.
Using a gradient boosting‐based machine learning model trained on 484 data points, this study predicts the degradation behavior of poly(lactic‐co‐glycolic acid) (PLGA) implants. Degradation time, molecular weight, and lactide/glycolide ratio were identified as key governing factors, enabling accurate prediction while reducing reliance on extensive ...
Shuai Wang, Long Chen, Kepeng Yang, Bowen Cheng, Yingpeng Wan, Bingyan Wang, Tao Sun, Xiangping Hao, Jingzhi Yang, Haijun Zhang, Lei Wang, Lu‐Ning Wang   +11 more
wiley   +1 more source