Results 81 to 90 of about 7,816 (288)

Job crafting intervention: fostering individual job redesign for sustainable organisation

open access: yes, 2018
Purpose The purpose of this paper is threefold: first, to present an overview of job crating conceptualizations; second, to illustrate various job crafting interventions proposed by scholars to intrude and encourage job crafting behaviour among ...
Alka Rai
core   +1 more source

CrossMatAgent: AI‐Assisted Design of Manufacturable Metamaterial Patterns via Multi‐Agent Generative Framework

open access: yesAdvanced Intelligent Discovery, EarlyView.
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian   +12 more
wiley   +1 more source

Status of implementation of job crafting among female hospital nurses

open access: yes, 2019
[Abstract] This study was designed to evaluate the status of implementation of 4 kinds of job crafting which is focused on mental health in the workplace among female nurses in a private general hospital.
Mirbod, Seyed Mohammad, 19649
core  

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

The effects of job crafting on subjective well-being amongst South African high school teachers

open access: yesSA Journal of Industrial Psychology, 2016
Orientation: Job crafting can result in a number of positive outcomes for teachers, such as increased meaningfulness and engagement at work. Increased work engagement and psychological meaningfulness may yield positive benefits for the practice of ...
Sergio Peral, Madelyn Geldenhuys
doaj   +1 more source

Topology‐Aware Machine Learning for High‐Throughput Screening of MOFs in C8 Aromatic Separation

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

Crosslinking of Linear Polyimines Into Aminal‐Linked Porous Organic Polymers for C2 Hydrocarbon/Methane Separation

open access: yesAngewandte Chemie, EarlyView.
Crosslinking of linear polyimines with aromatic diamines via nucleophilic addition converts nonporous polyimine precursors into aminal‐linked porous networks, offering a new strategy for synthesizing porous organic polymers. The resulting materials exhibit high C2 hydrocarbon adsorption capacity, excellent selectivity over CH4, and durable cyclic ...
Xuejie Li   +4 more
wiley   +2 more sources

How Does Coworker Job Crafting Affect Teammate Job Outcomes? [PDF]

open access: yes, 2023
Job crafting, the proactive changing of job demands and resources to better suit one’s needs and abilities, is on the rise within the modern workplace as individuals are experiencing greater autonomy and ownership over their careers.
Hall, Aimee
core  

FIRE‐GNN: Force‐Informed, Relaxed Equivariance Graph Neural Network for Rapid and Accurate Prediction of Surface Properties

open access: yesAdvanced Intelligent Discovery, EarlyView.
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

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