Results 41 to 50 of about 26,595 (243)
The psychometric properties of a workplace boredom scale (DUBS) within the South African context
SA Journal of Industrial Psychology, 2016 Orientation: Boredom at work has been shown to be a concern for individuals and organisations. At the time of this research, no validated scale was available to measure and investigate workplace boredom within the South African context. Research purpose:
Sumarie M. van Wyk +3 more
doaj +1 more source
Electrically Readable Lateral Flow Assay Using Organic Transistors for Diagnostic Applications
Advanced Materials, EarlyView.Electrolyte‐gated organic field‐effect transistors (EGOFETs) are integrated with lateral flow (LF) paper fluidics to create a reusable, portable, and low‐cost point‐of‐care (PoC) diagnostic test. The devices are validated for Human Immunoglobulin G detection, achieving high sensitivity (0.1 fm), selectivity, and reproducibility with rapid results in 20–
María Jesús Ortiz‐Aguayo +4 more
wiley +1 more source
Advances in MoS2‐Au Nanostructured Platforms for Cancer‐Derived miRNA Detection
Advanced Materials Interfaces, EarlyView.This figure presents the roadmap and scope of this review on microRNA detection technologies, with emphasis on MoS2 and MoS2–Au hybrid nanostructures. It traces the evolution from conventional assays to MoS2‐based SERS platforms, highlights synthesis, interfacial chemistry, and signal‐enhancement mechanisms, and summarizes key challenges and future ...
Faith Mokobi Zablon +2 more
wiley +1 more source
A Primer on the Role of Boredom in Self-Controlled Sports and Exercise Behavior
Frontiers in Psychology, 2021 Self-control is critical for successful participation and performance in sports and therefore has attracted considerable research interest. Yet, knowledge about self-control remains surprisingly incomplete and inconsistent.
Wanja Wolff +4 more
doaj +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
Advanced Science, EarlyView.The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Heuristically Adaptive Diffusion‐Model Evolutionary Strategy
Advanced Science, EarlyView.Building on the mathematical equivalence between diffusion models and evolutionary algorithms, researchers demonstrate unprecedented control over evolutionary optimization through conditional diffusion. By training diffusion models to associate parameters with specific traits, they can guide evolution toward solutions exhibiting desired behaviors ...
Benedikt Hartl +3 more
wiley +1 more source
In Situ Characterisation of Hydrogels via Dynamic Interface Printing
Advanced Science, EarlyView.ABSTRACT Hydrogels have become pivotal materials for tissue engineering, robotics, biomedical devices, and sensing applications due to their diverse material compositions and tunable mechanical properties. While significant effort has focused on developing novel manufacturing approaches such as extrusion bioprinting and light‐based fabrication methods,
Callum Vidler +2 more
wiley +1 more source
Advanced Science, EarlyView.Microproteins are hidden treasures encoded by the “dark proteome” but remain largely underexplored due to the lack of highly efficient tools. We developed a molecularly imprinted polymers (MIPs)‐based toolbox (CLAIMID) to achieve accelerated and ultrasensitive microproteins validation at multiple biological scales (single living cells, cell populations,
Hui He +10 more
wiley +1 more source
Advanced Science, EarlyView.Computational annotation of various tissue types in heterogeneous samples such as colorectal cancer liver metastasis (CRLM) using spatial autocorrelation analysis on non‐destructive mid‐infrared (MIR) imaging data enabled correlative multimodal mass spectrometry imaging (MSI) for spatial investigation of lipid tumor marker candidates. The method can be
Miriam F. Rittel +12 more
wiley +1 more source
Machine Learning for Green Solvents: Assessment, Selection and Substitution
Advanced Science, EarlyView.Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta +4 more
wiley +1 more source