Results 61 to 70 of about 7,816 (288)

Resource Crafting: Is It Really ‘Resource’ Crafting—Or Just Crafting?

Frontiers in Psychology, 2019
This study aims to provide an integrated perspective on job crafting and its antecedents through the exploration of the joint effects of individual-level and team-level job crafting on employee work engagement.
Qiao Hu, Wilmar B. Schaufeli, Wilmar B. Schaufeli, Toon W. Taris, Akihito Shimazu, Maureen F. Dollard   +5 more
doaj   +1 more source

Job Crafting Interventions

Abstract Job crafting is a bottom-up job redesign tool that enables individuals to fit the job characteristics to their needs and preferences by seeking resources, seeking challenges, and reducing demands. This chapter describes the design of workplace interventions aimed at stimulating job crafting.
Demerouti, E., Peeters, M.C.W., van den Heuvel, M.   +2 more
openaire   +1 more source

The development and validation of an electronic job crafting intervention: Testing the links with job crafting and person‐job fit

Journal of Occupational and Organizational Psychology, 2021
Using two intervention studies, this article examines the effectiveness of a newly developed electronic job crafting intervention (i.e., e‐intervention) that aims to stimulate task, relational, and cognitive crafting and offers a time‐efficient and cost‐effective alternative to ...
Verelst, Lorenz, De Cooman, Rein, Verbruggen, Marijke, van Laar, Colette, Meeussen, Loes   +4 more
openaire   +1 more source

Unifying Composition and Process Design: A Heterogeneous Graph Neural Network for Discovering High‐Performance Cu Alloys

Advanced Science, EarlyView.
By overcoming the fixed‐path limitations of conventional machine learning, a heterogeneous graph neural network fundamentally reconstructs material data representation. Integrating variable processing sequences with intrinsic elemental features, this framework enables exploratory optimization across high‐dimensional spaces.
Jie Yin, Qian Lei, Wei Yan, Yue Li, Tong Xie, Shuang Zhou, Chong Wang, Bram Hoex, Qiang Long, Caoyang Jiang, Min Song, Zhou Li, Zhangwei Wang   +12 more
wiley   +1 more source

Transferable Deep Reinforcement Learning With Edge‐Contour‐Depth Fusion for Autonomous Wireless Capsule Endoscopy Navigation

Advanced Science, EarlyView.
This study presents an anatomical landmark‐guided DRL framework for autonomous wireless capsule endoscopy navigation. Using a lightweight edge‐contour‐depth fusion module, it achieves over 97% coverage across diverse gastric anatomies. To ensure reliability, a two‐stage sim‐to‐real pipeline with an adaptive dynamic programming controller mitigates ...
Haoxuan Wu, Haitao Gao, Qingyang Liu, Sishen Yuan, Haiyang Fang, Mingwu Su, Baijia Liang, Yongzun Yang, Long Bai, Wenzhen Dong, Dihong Xie, Shijian Su, Jiewen Lai, Shing Shin Cheng, Zhen Li, Xiuli Zuo, Hongliang Ren   +16 more
wiley   +1 more source

Growth Mindset and Job Crafting: A Trait Activation Perspective with Job Autonomy as Moderator

Behavioral Sciences
Job crafting benefits both employees and organizations by enhancing employees’ health, well-being, and performance. Therefore, it is crucial to investigate the individual factors that encourage job crafting and the conditions under which they operate ...
Tao Yu, Lidong He, Hu Ying, Jie Liu, Yuzhen Wu, Yun Wang, Xiaofu Pan   +6 more
doaj   +1 more source

WS2 Optoelectronic Memristive Reservoir Enabling Ultra‐Low‐Power, Multi‐Task, and Environmentally Stable Neuromorphic Computing

Advanced Science, EarlyView.
WS2‐based in‐memory sensing reservoir computing integrates sensing, memory, and computation in one compact device. It achieves ∼94% N‐MNIST, ∼93% eye motion perception, and ∼89% speech recognition with ultra‐low energy (∼25.5 fJ/spike). The system shows stability at 95% humidity, endurance over 1.5M cycles, and supports synaptic plasticity, enabling ...
Dayanand Kumar, Hanrui Li, Divyanshu Divyanshu, Dhananjay D. Kumbhar, Manoj Kumar Rajbhar, Amit Singh, Abdul Momin Syed, Selma Amara, Gianluca Setti, Nazek El‐Atab   +9 more
wiley   +1 more source

Ultra‐Wide‐Field Noninvasive Imaging Through Scattering Media Via Physics‐Guided Deep Learning

Advanced Science, EarlyView.
We propose a physics‐guided adaptive dual‐domain learning method for ultra‐wide‐field noninvasive imaging through scattering media, namely UNI‐Net. Our method not only reduces the requirement for real experimental data by an order of magnitude but also enables clear imaging of complex scenes with an ultra‐large field of view, which is 164 times the OME
Lintao Peng, Mingwei He, Jeff Zhu, Sujit K. Sahoo, Liheng Bian, Cuong Dang   +5 more
wiley   +1 more source

Polarization Dynamics in Ferroelectrics: Insights Enabled by Machine Learning Molecular Dynamics

Advanced Science, EarlyView.
Machine learning molecular dynamics is presented as a route to capture polarization switching, domain wall kinetics, topological polar textures, and polar mechanical coupling beyond the limits of conventional atomistic methods. This Perspective surveys recent progress and identifies key methodological directions, including long‐range electrostatics ...
Dongyu Bai, Ri He, Junxian Liu, Liangzhi Kou   +3 more
wiley   +1 more source

“Making our job hospitable” – Assessment of job-crafting behavior among dental academic faculty in South India

Journal of Indian Association of Public Health Dentistry, 2018
Introduction: Employees are regularly offered opportunities to make their work more appealing and rewarding. These opportunities might be as simple as making fine changes to their daily tasks to boost happiness and to connect with more people at vocation.
V Siva Kalyan, S Manjula, Chaitanya Kondeti, T Madhavi Padma, S Suresh, K V. N. R. Pratap   +5 more
doaj   +1 more source