Results 151 to 160 of about 57,140,467 (284)
We explored the determinants of the psychological experience of working from home (WFH) in a “double” specific context of non-voluntary WFH during the COVID-19 lockdown in Croatia, a country where WFH was a highly unusual arrangement.
Mitja Ružojčić +4 more
doaj +2 more sources
Desire to work from home: Results of an Irish study. [PDF]
Stefaniec A +3 more
europepmc +1 more source
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller +3 more
wiley +1 more source
Burnout Syndrome in Work from Home Settings during the Second Wave of the COVID-19 Pandemic: A Cross-sectional Study. [PDF]
Amalia R +4 more
europepmc +1 more source
Rotary 3D Printing With Integrated Electroplating
A rotary material extrusion platform integrates localized copper electroplating with printing and encapsulation to fabricate cylindrical polymer–metal structures containing fully embedded, low‐resistance conductive pathways that enable internal Joule heating and thermally activated shape‐memory responses.
Antonio Zagaria +5 more
wiley +1 more source
Health of teleworkers: a scoping review on the assessment of the work-from-home environment. [PDF]
Oda M +4 more
europepmc +1 more source
A high interstital austenitic steel is additively manufactured and postdensified by HIP to eliminate gas porosity. Thereby, the loss of N and Mn in Ar HIP atmosphere is investigated. Further, HIP using N2 atmosphere is investigated which led to excessive nitride formation.
F. Großwendt +4 more
wiley +1 more source
Post-pandemic working-from-home regulations
This presentation talkes about a research project, which aims to identify optimal frameworks for post-pandemic working-from-home (WFH) policies, with the goal to balance organizational performance, employee satisfaction, and perceptions of fairness.
Huber, Fabrice
core +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source
Work from home in the post-COVID world. [PDF]
Kong X, Zhang A, Xiao X, Das S, Zhang Y.
europepmc +1 more source

