Research data sharing and management are vital for transparency and innovation in science. Despite its importance, challenges ...
Teacher Productivity, Strategies, Public Secondary Schools, Uasin Gishu, Baringo, Kenya Share and Cite: Kiptoo, D. , Omachar, B.S. and Kegode, G. (2025) Strategies for Enhancing Teacher Productivity ...
Background Knowledge translation (KT) approaches have been advocated to increase uptake of evidence to improve maternal ...
One thing about South Asian populations is that we do have a very different presentation of diabetes, partly due to our genetics, partly due to migration pressures”, says Rohini Mathur, Professor and ...
In the evolving landscape of artificial intelligence (AI), the assumption that more data lead to better models has driven unchecked reliance on synthetic data to augment training datasets. Although ...
Data is a critical component of SEO content strategy. Basing your writing on reliable data shows a commitment to accuracy, building your authority and credibility in readers’ eyes. This approach to ...
We study how a monopolist’s use of consumer data for price discrimination affects welfare. To answer this question, we develop a model of market segmentation subject to residual uncertainty. We fully ...
This manuscript makes a valuable contribution to the concept of fragility of meta-analyses via the so-called 'ellipse of insignificance for meta-analyses' (EOIMETA). The strength of evidence is solid, ...
Single-cell genome sequencing techniques have recently emerged, enabling high-throughput transcriptome profiling at the level of individual cells. Among ...
Time-to-event is a powerful statistical approach increasingly used in sports science and medicine to examine time-to-event outcomes such as time to sports injury occurrence, career duration and ...
The Mass Query Language (MassQL) enables scientists to precisely express and reproducibly search for mass spectrometry (MS) peak patterns in large MS datasets. MassQL has been adopted across the most ...
Bioinformatics is a field of study that uses computation to extract knowledge from biological data. It includes the collection, storage, retrieval, manipulation and modelling of data for analysis, ...