The relationship between general cognitive ability (GCA) and overall job performance has been a long-accepted fact in industrial and organizational psychology. However, the most prominent data on this relationship date back more than 50 years. This meta-analysis examines the relationship between GCA and overall job performance using studies from the current century. Results across 153 samples and a total sample size of 40,740 show a mean observed validity of .16, with a residual of .09. Correcting for unreliability in the criterion and correcting predictive studies for range restriction produces a mean corrected validity of .22 and a residual of .11. While this is a much smaller estimate than the .51 value offered by Schmidt and Hunter (1998), that value has been critiqued by Sackett et al. (2022), who offered a mean corrected validity of .31 based on integrating findings from prior meta-analyses of 20th century data. We obtain a lower value (.22) for 21st century data. We conclude that GCA is related to job performance, but our estimate of the magnitude of the relationship is lower than prior estimates. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Sci Total Environ
January 2025
CATIE, Centro Agronómico Tropical de Investigación y Enseñanza, Turrialba 30501, Costa Rica.
Agricultural systems are both emitters of greenhouse gases and have the potential to sequester carbon, especially agroforestry systems. Coffee agroforestry systems offer a wide range of intensities of use of agricultural inputs and densities and management of shade trees. We assessed the agronomic carbon footprint (up to farm gate) and modelled the carbon sequestration of a range of coffee agroforestry systems across 180 farms in Costa Rica and Guatemala.
View Article and Find Full Text PDFLung Cancer
January 2025
Internal Medicine III, Wakayama Medical University, Wakayama, Japan.
Objectives: The lack of definitive biomarkers presents a significant challenge for chemo-immunotherapy in extensive-stage small-cell lung cancer (ES-SCLC). We aimed to identify key genes associated with chemo-immunotherapy efficacy in ES-SCLC through comprehensive gene expression analysis using machine learning (ML).
Methods: A prospective multicenter cohort of patients with ES-SCLC who received first-line chemo-immunotherapy was analyzed.
Neural Comput
January 2025
Department of Advanced Data Science, Institute of Statistical Mathematics, Tachikawa, Tokyo 190-8562, Japan
Standard domain adaptation methods do not work well when a large gap exists between the source and target domains. Gradual domain adaptation is one of the approaches used to address the problem. It involves leveraging the intermediate domain, which gradually shifts from the source domain to the target domain.
View Article and Find Full Text PDFACS Nano
January 2025
Institute of Functional Nano & Soft Materials (FUNSOM), Joint International Research Laboratory of Carbon-Based Functional Materials and Devices, Soochow University, Suzhou 215123, Jiangsu, China.
Thermally activated delayed fluorescence (TADF) materials have received increasing attention from organic electronics to other related fields, such as bioapplications and photocatalysts. However, it remains a challenging task for TADF emitters to showcase the versatility concurrent with high performance in multiple applications. Herein, we first present such a proof-of-concept TADF material, namely, QCN-SAC, through strategically manipulating exciton dynamics.
View Article and Find Full Text PDFJ Phys Chem A
January 2025
Department of Chemistry, Ludwig-Maximilians-Universität München, Butenandtstr. 5-13, D-81377 Munich, Germany.
Recently, we investigated a number of so-called σ- and τ-functionals based on the adiabatic-connection fluctuation-dissipation theorem (ACFDT); particularly, extensions of the random phase approximation (RPA) with inclusion of an exchange kernel in the form of an antisymmetrized Hartree kernel. One of these functionals, based upon the approximate exchange kernel (AXK) of Bates and Furche, leads to a nonlinear contribution of the spline function used within σ-functionals, which we previously avoided through the introduction of a simplified "top-down" approach in which the σ-functional modification is inserted a posteriori following the analytic coupling strength integration within the framework of the ACFDT and which was shown to provide excellent performance for the GMTKN55 database when using hybrid PBE0 reference orbitals. In this work, we examine the analytic "bottom-up" approach in which the spline function is inserted a priori, i.
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