Results 81 to 90 of about 124,528 (299)
Crafting better team climate: the benefits of using creative methods during team initiation [PDF]
This study employs a mixed methods approach to investigate the effect of creative methods, the combinative use of model building and storytelling, during team initiation on team climate, a critical people-related factor in the management of collective ...
Jiang, Crystal, Primus, Dirk
core +1 more source
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source
Individual Crafting, Collaborative Crafting, and Job Satisfaction: The Mediator Role of Engagement
Most theories of job crafting understand the term to refer to an individual activity, and only a few studies have focused on collaborative job crafting. The present study has two aims.
Marta Llorente-Alonso, Gabriela Topa
doaj +1 more source
Economics and Politics of Work-Family Policy: The Case for a State Family Leave Insurance Program [PDF]
Highlights the lack of paid sick and family leave laws and the need for family leave insurance, an employee-paid program that provides partial wage replacement when workers take time off to care for an ill family member or newborn or newly adopted ...
Eileen Appelbaum, Karen White
core
Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
wiley +1 more source
Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation
We screened 15,335 Computation‐Ready, Experimental Metal–Organic Frameworks (CoRE‐MOFs) using a topology‐aware machine learning (ML) model that integrates structural, chemical, pore‐size, and topological descriptors. Top‐performing MOFs exhibit aromatic‐enriched cavities and open metal sites that enable π–π and C–H···π interactions, serving as ...
Yu Li, Honglin Li, Jialu Li, Wan‐Lu Li
wiley +1 more source
Vocations as a source of identity: reciprocal relations between Big Five personality traits and RIASEC characteristics [PDF]
Although work is a core part of life, the direction of influence from personality to work has typically been conceived as only unidirectional. The present study aims to contribute to the literature by considering reciprocal relations between personality ...
De Fruyt, Filip, Wille, Bart
core +2 more sources
This study introduces FIRE‐GNN, a force‐informed, relaxed equivariant graph neural network for predicting surface work functions and cleavage energies from slab structures. By incorporating surface‐normal symmetry breaking and machine learning interatomic potential‐derived force information, the approach achieves state‐of‐the‐art accuracy and enables ...
Circe Hsu +5 more
wiley +1 more source
Job crafting refers to the act of employees actively altering work aspects to better suit their values and interests. Slemp and Vella-Brodrick (2013) proposed a Job Crafting Questionnaire (JCQ) in English consisting of three facets: task crafting ...
Vivian Schachler +5 more
doaj +1 more source
Quitting the Boss? The Role of Manager Influence Tactics and Employee Emotional Engagement in Voluntary Turnover [PDF]
Employees commonly cite their managers’ behavior as the primary reason for quitting their jobs. We sought to extend turnover research by investigating whether two commonly used influence tactics by managers affect their employees’ voluntary turnover and ...
Byron, Jrus +4 more
core +2 more sources

