Results 181 to 190 of about 431,176 (295)
Bio‐based additives derived from lignin and spent coffee grounds (SCG) are used to enhance MWCNT dispersion in PLA composites, enabling improved electrical conductivity and reliable in material extruded strain‐gauge sensors. ABSTRACT In this work, three bio‐based additives, lignin, spent coffee grounds (SCG), and oil extracted from SCG (Ox‐SCG) were ...
Silvia Lage‐Rivera +6 more
wiley +1 more source
ABSTRACT This article evaluates the average business performance of construction firms across Spain's 17 autonomous communities within a decentralised governance framework. A regional composite sustainability index is developed, integrating economic, social and environmental intensity indicators.
Francisco José Castillo‐Díaz +3 more
wiley +1 more source
Abstract Developing protein interaction–based technologies such as biosensors requires a clear understanding of receptor‐target kinetics. Nanobodies, which are camelid‐derived single‐domain antibodies, are ideal biosensor receptors due to their high specificity, stability, and ease of production. During biosensor development, multiple nanobody variants
Escarlet Díaz‐Galicia +5 more
wiley +1 more source
Whole-Genome Sequencing in Galicia Reveals Male-Biased Pre-Islamic North African Ancestry, Subtle Population Structure, and Microgeographic Patterns of Disease Risk. [PDF]
Pardo-Seco J +7 more
europepmc +1 more source
Risk assessments of invasive species present one of the most challenging applications of species distribution models (SDMs) due to the fundamental issues of distributional disequilibrium, niche changes, and truncation. Invasive species often occupy only a fraction of their potential environmental and geographic ranges, as their spatiotemporal dynamics ...
Erola Fenollosa +4 more
wiley +1 more source
A circulating MicroRNA signature for the diagnosis of pulmonary arterial hypertension and functional characterization of candidate miR-3168. [PDF]
Lago-Docampo M +6 more
europepmc +1 more source
A Hybrid Nonparametric Framework for Outlier Detection in Functional Time Series
ABSTRACT Outlier detection in functional time series is challenging due to temporal dependence and the simultaneous presence of magnitude, shape, and partial anomalies. Existing methods often assume independence or rely on model based approaches, such as the Standard Smoothed Bootstrap on Residuals (SmBoR), which may not work well if the model is ...
David Solano +4 more
wiley +1 more source
What's new? Inclusion criteria for lung cancer screening (LCS) maintain cost control by focusing resources on select high‐risk groups. However, eligible individuals are inherently dissimilar in risk profile and demographics, potentially impacting LCS effectiveness and uptake.
María Olivia Cabrera +7 more
wiley +1 more source
The Role of Dyads in Subjective Reporting and Prediction of Cognitive Worsening in Cognitively Unimpaired Individuals and Individuals with Subjective Cognitive Decline: Results of the CompAS Longitudinal Study. [PDF]
Pérez-Blanco L +7 more
europepmc +1 more source

