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This data descriptor contains information about an extensive production data set for a five-axis CNC milling process. Three geometrically different products were manufactured and relevant features from the numerical control of the machine were recorded. The recorded manufacturing process contains the preparation of the machine for the next product (changeover) as well as the machining process (production). The experimental manufacturing was organized with the aid of a changeover matrix to ensure that all possible changeover combinations for the three products were considered. The production was repeated five times, resulting in 30 manufacturing sessions and five complete changeover matrices. The data set was recorded in a laboratory environment. A rich feature set including i.e. the NC-code of the products, tool information, and a Jupyter notebook is provided with the data set.
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http://dx.doi.org/10.1038/s41597-025-05294-0 | DOI Listing |
BJPsych Open
September 2025
Swansea University Medical School, Swansea University, UK.
Background: Pupils in alternative education provision, known as 'Educated in Other Than At School' (EOTAS) in Wales, UK, are among the most vulnerable learners and who, for reasons such as mental health or behavioural challenges, do not attend a mainstream or special school.
Aims: We compared self-harm, neurodevelopmental disorders and mental health conditions between EOTAS pupils and controls with similar characteristics, before and after being in EOTAS provision.
Method: This population-based electronic cohort study included pupils in Wales aged 7-18 years, from the academic years 2010-11 to 2018-19.
J Chem Theory Comput
September 2025
Dipartimento di Chimica, Università di Pavia, Via Taramelli 12, Pavia 27100, Italy.
Machine learning (ML) and deep learning (DL) methodologies have significantly advanced drug discovery and design in several aspects. Additionally, the integration of structure-based data has proven to successfully support and improve the models' predictions. Indeed, we previously demonstrated that combining molecular dynamics (MD)-derived descriptors with ML models allows to effectively classify kinase ligands as allosteric or orthosteric.
View Article and Find Full Text PDFACS Sens
September 2025
Institute of Applied Mechanics, National Taiwan University, Taipei 106, Taiwan.
In recent AI-driven disease diagnosis, the success of models has depended mainly on extensive data sets and advanced algorithms. However, creating traditional data sets for rare or emerging diseases presents significant challenges. To address this issue, this study introduces a direct-self-attention Wasserstein generative adversarial network (DSAWGAN) designed to improve diagnostic capabilities in infectious diseases with limited data availability.
View Article and Find Full Text PDFBehav Res Methods
September 2025
Faculty of Psychology and Cognitive Sciences, Adam Mickiewicz University, Poznań, Poland.
Emotional crying is a complex and multifaceted expression that is frequently observed in humans. Its communicative effects have been recently studied in more detail. However, many studies focus on just one specific feature of emotional crying, most often emotional tears, neglecting the complex nature of the expression.
View Article and Find Full Text PDFSci Data
September 2025
Botanical Garden, University of Padua, Padua, Italy.
The rapid decline in global biodiversity highlights the urgent need for conservation efforts, with botanical gardens playing a crucial role in ex situ plant preservation. Monumental plants, such as the 400-year-old Goethe's Palm (Chamaerops humilis L.) at the Padua Botanical Garden serve as vital flagship species with significant ecological and cultural value.
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