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Applications of Machine Learning in Early Stage Rolling Bearing Simulations—A Systematic Literature Review
No full textRolling bearing simulations are often too computationally expensive for early design decisions, because many simulations are required in a large design of experiments. There-fore, the aim of this systematic literature review is to provide an overview of how machine learning (ML) is used to integrate engineering knowledge in advance when simulations are the primary data source for supervised learning. In the 11 included studies, ML is mainly applied as regression models trained on simulation data to replace repeated solver calls. The applications can be classified into three domains: contact mechanics, lubrication, and dynamics – mostly linked to their domain specific outputs. In most cases, ML models replace the simulation once the model is trained and validated, followed by optimization, which is often performed on the surrogate using evolutionary algorithms. Surrogates have the potential to enable design-space exploration, sensitivity analysis, and uncertainty propagation, but this capability is not yet fully exploited in current practice. The purpose of this review article is to provide a summary of methodological building blocks and practical guidelines to assist researchers and engineers in selecting appropriate ML workflows for simulation-based analysis of rolling bearings in the areas of tribology, dynamics, service life, load capacity, and system-level investigations
CARING - Child Related Stress and Coping
No full textDyadic coping is a concept from couple research that describes how partners jointly deal with stress and provide mutual support when facing strain. It has been established as an important predictor of individual and relationship outcomes, but it has also proven to be relevant for the broader family context, particularly in the context of parenthood. Child-related stressors that are situated within the immediate family system represent a specific form of parental strain that can affect both the parents’ partnership and the entire family system.
The central aim of the study is to examine the extent to which parental dyadic stress-coping competencies transfer to child-related stressors and whether these competencies can be adequately captured using existing coding systems
What drives young men’s food choices? An analysis of meat, sustainable eating and male identity.
No full textThis study aims to explore the reasons behind young men’s eating behaviour, particularly their consumption of meat and reluctance to choose plant-based alternatives. We will recruit and conduct the focus groups in 2026. This research will help the charity Hubbub design future behaviour change initiatives in the West Midlands by providing insights into young men’s motivations, capabilities, and opportunities to change what they eat. We will conduct a series of qualitative focus groups with young men to understand the factors influencing their food choices. To complement these discussions, participants will be asked to complete short online surveys immediately prior and following the focus groups. These surveys will help us build a fuller picture of their food habits, values, attitudes, and everyday lives
Local coherence effects are task sensitive: Evidence from event-related potentials in German
No full textWhen the research question targets online measures of sentence processing, offline tasks are sometimes an afterthought in experimental design. The present study shows that offline tasks (acceptability judgments vs. comprehension questions) can modulate online processing. We investigated how the task shapes local coherence effects in German. Previous and present data using the same local coherence design in German was analyzed in a single model and it was found that P600 modulations due to local coherence were task sensitive. Previous work using acceptability judgments found a more positive P600 for a locally coherent condition compared to a control condition. In the present experiment using comprehension questions, the mean estimate of the difference between conditions was reduced to almost zero. The absence of a meaningful processing difficulty due to local coherence under questions is compatible with two opposing interpretations. One interpretation is that comprehension-driven reading enhanced grammar supervision, mostly preventing merely locally coherent parses from being considered. The alternative interpretation is that comprehension-driven reading induced good-enough processing. Good-enough processing might leave syntactic relations underspecified or parsing conflicts unresolved; as a result, the merely locally coherent parse competed less with the global parse, which eliminated the local coherence effect. Overall, our findings demonstrate that offline task demands can shape online syntactic processing
Application of Artificial Intelligence in Antimicrobial Resistance (AMR) Research: A Scoping Review Protocol
No full text● Background: Antimicrobial resistance (AMR) is a global health challenge influenced by clinical, behavioural, and sociodemographic determinants. To date, machine learning (ML) applications have focused primarily on clinical and epidemiological decision-making, with limited attention to broader determinants of health, equity, and population sub-groups.
● Objective: To map evidence on AI applications in AMR, including their geographic coverage, AI techniques employed, intended purposes, data sources, performance outcomes, and clinical use, in order to highlight gaps in the literature and guide future research and policy development.
● Eligibility Criteria: population and patients- based studies reporting clinical, behavioural, or sociodemographic covariates used to model AMR risk in the Al/ML algorithms. Excludes lab-only, genomics-only, using only traditional statistical methods without AI/ML component, studies outside AMR, or non-population level studies.
● Sources of Evidence: Medline, Embase, APA PysoInfo.
● Charting Methods: Data will be extracted on study characteristics, AMR outcomes (classes of AMR, number of resistant drugs/pathogens, mortality/mobility, DALY), performance of the ML modes, AMR determinants, methods, and equity considerations. This will be done using a standardised form by two reviewers
Lessons Learned Developing Living Open Engineering Textbooks
No full textSpeaker: Austin Downey
This short talk reflects on the process of developing two open engineering textbooks, ”Machine Learning for Engineering Problem Solving and Vibration Mechanics, that began as personal projects and evolved into classroom-adopted, openly licensed educational resources. The presentation focuses on lessons learned at the intersection of faculty motivation, student needs, and the realities of sustainable OER development. Topics include balancing what is enjoyable and intellectually motivating to write with what best supports student learning; managing time and scope when OER development is not formally recognized as scholarship; and navigating the transition from a "hobby project" to a shared educational product used by students and colleagues. The talk will also discuss perceptions of credibility and quality, strategies for encouraging adoption by peers, integrating OER into active courses, and gathering meaningful feedback from students and other instructors. Rather than presenting a prescriptive model, this session offers a candid account of challenges, trade-offs, and unexpected benefits encountered along the way, with the goal of helping other faculty realistically assess whether and how to begin or sustain their own OER projects
Brief intervention for eczema management in community pharmacy
No full textWhat do we want to achieve?
Eczema Care Online (www.eczemacareonline.org.uk ECO) is an NHS-developed website that helps people to self-manage eczema. It has been proven effective in randomised controlled trials. We want pharmacy staff to confidently signpost pharmacy users to this evidence-based resource (an eczema conversation) when supplying eczema treatments and so promote its use. Pharmacy staff have told us they need more training and high-quality resources to do this well.
To meet this need, we worked with pharmacy staff in online workshops to co-develop an online training module for pharmacy staff, based on the content in ECO. We now plan to trial this training module in community pharmacies to see how useful it is and whether pharmacy users access the ECO website after receiving advice by the trained pharmacy staff.
Why do we want to do this?
Eczema is common, yet many people feel they lack adequate information, making self-management harder and reducing quality of life. Pharmacies are easily accessible - most people live within walking distance - yet they remain an underused source of advice. With GP appointments becoming harder to access, pharmacies could play a bigger role in supporting long-term conditions like eczema.
What will we do?
We have developed an online training module, based on the content in ECO, to help pharmacy staff:
1.Recognise eczema and help pharmacy users to recognise eczema
2.Provide advice on emollients and topical steroids
3.Offer other relevant guidance e.g. how to help pharmacy users to navigate through the ECO website
We will provide the online training module to six pharmacies and monitor whether staff use it and then recommend the website. We will provide a link to the website and track whether pharmacy users access the website after it is recommended (at the pharmacy level not by pharmacy user). After three months, we will interview staff and pharmacy users about their experiences
