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What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

The Influence of Occupational Driver Stress on Work-related Road Safety: An Exploratory Review [PDF]

open access: yes, 2007
Research has identified a number of stressors that could impact on the occupational driver by increasing stress levels and, for some individuals, causing adverse behaviour and effects, for example, aggressive behaviour, fatigue, inattention/distraction ...
Davey, Jeremy   +3 more
core   +1 more source

Skin‐Conformal Myography for Real‐Time Hand Tracking Using a Laser‐Induced Graphene Strain Sensor Array

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu   +2 more
wiley   +1 more source

Becoming a mother: a study exploring occupational change in first-time motherhood [PDF]

open access: yes, 2005
Having a first baby is considered a major life event, due to significant role change impacting on the ordinary and familiar activities the new mother performs every day. The aim of this study was to explore changes in the occupational lives of first time
Corr, Susan, Earle, Sarah, Horne, Jane
core  

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