Results 61 to 70 of about 127,829 (293)
Approximate inference of the bandwidth in multivariate kernel density estimation [PDF]
Kernel density estimation is a popular and widely used non-parametric method for data-driven density estimation. Its appeal lies in its simplicity and ease of implementation, as well as its strong asymptotic results regarding its convergence to the true ...
Sanguinetti, G. +3 more
core +1 more source
The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley +1 more source
General trust scale: Validation in cross-cultural settings [PDF]
AbstractTrust plays a critical role in all aspects of social functioning. In attempting to better understand trust cross culturally, a valid tool is essential. We conducted two studies to investigate the cross-cultural validity and utility of the Generalized Trust Scale (Yamagishi and Yamagishi 1994).
Dorota Jasielska +3 more
openaire +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
Temperature is widely known as one of the most important drivers to forecast electricity and gas variables, such as the load. Because of that reason, temperature forecasting is and has been for years of great interest for energy forecasters and several ...
Santiago Moreno-Carbonell +2 more
doaj +1 more source
In this short paper, we mainly aim to study the generalized ridge estimator in a linear regression model. Through matrix techniques including Hadamard product and derivative of a vector, the globally optimal generalized ridge estimator is derived under ...
Jiang, Hong-Yan +3 more
core +1 more source
New perspectives in cross-validation
Appealing due to its universality, cross-validation is an ubiquitous tool for model tuning and selection. At its core, cross-validation proposes to split the data (potentially several times), and alternatively use some of the data for fitting a model and
Zhou, Wenda
core +1 more source
Cross-validation strategies for data with temporal, spatial, hierarchical, or phylogenetic structure [PDF]
Ecological data often show temporal, spatial, hierarchical (random effects), or phylogenetic structure. Modern statistical approaches are increasingly accounting for such dependencies.
Brendan A. Wintle +41 more
core +1 more source
Pathways and pitfalls: a qualitative study of student experiences in biomedical science education
Biomedical science students from underrepresented backgrounds face barriers including financial strain, disrupted laboratory access and cultural exclusion. Peer networks provide vital support when institutional systems are difficult to navigate. To create inclusive learning environments and achieve academic success, educators should blend active, hands‐
Olivia J. Russell +8 more
wiley +1 more source
Anxiety disorders are a major public health concern in low- and middle-income countries due to the lack of culturally validated screening tools. Although the Generalized Anxiety Disorder Assessment-7 (GAD-7) is widely used, limited research exists on its
Anwar Khan, Amalia Madihie, Iftikhar Ali
doaj +1 more source

