Multi-Domain Touchscreen-Based Cognitive Assessment of C57BL/6J Female Mice Shows Whole-Body Exposure to 56Fe Particle Space Radiation in Maturity Improves Discrimination Learning Yet Impairs Stimulus-Response Rule-Based Habit Learning. [PDF]
Front Behav Neurosci, 2021 Soler I +11 more
europepmc +1 more source
A Wearable In‐Pad Diagnostic for the Detection of Disease Biomarkers in Menstruation Blood
Advanced Science, EarlyView.MenstruAI integrates a paper‐based biosensor into sanitary pads to detect biomarkers in menstrual blood, enabling accessible, lab‐free diagnostics health. The platform supports early disease detection, especially in underserved communities, while challenging menstrual stigma and opening pathways for scalable, inclusive, and sustainable population ...
Lucas Dosnon +3 more
wiley +1 more source
Overexpression of astroglial major histocompatibility complex class I in the medial prefrontal cortex impairs visual discrimination learning in mice. [PDF]
Mol Brain, 2020 Wulaer B +6 more
europepmc +1 more source
Mitigating Cell Cycle Effects in Multi‐Omics Data: Solutions and Analytical Frameworks
Advanced Science, EarlyView.The study highlights the cell‐cycle effects on multi‐omics analysis attributed to varying cell cycle compositions across cell types. To minimize the influence, we propose RTD correction in CNV calling with a high S‐phase ratio, and phase comparison in chromatin accessibility, DNA methylation, and transcriptomics.
Rui Nie +7 more
wiley +1 more source
Effects of sensory deprivation on discrimination learning [PDF]
, 1969 Victor Hays, Laurence Gagnon
openalex +1 more source
Advanced Electronic Materials, EarlyView.The single‐molecule with a large transistor‐SiMoT is proposed for the detection of the subgenomic RNA of SARS‐CoV‐2, achieving a diagnostic sensitivity of 98.0% and a specificity of 87.8%. The SiMoT technology, currently at TRL‐5, is suitable for point‐of‐care settings and delivers the result to the end user in 30 min.
Eleonora Macchia +12 more
wiley +1 more source
Rationally Design Thermoelectric Materials Based on Ingenious Machine Learning Methods
Advanced Electronic Materials, EarlyView.A machine learning framework is developed to accurately predict thermoelectric performance of materials. By combining high‐quality data, advanced feature engineering, and machine learning, the model identifies promising candidates like CsCdBr3 and TlBSe3.
Yuqing Sun +4 more
wiley +1 more source
Visual discrimination learning of random figure problems by rhesus monkeys [PDF]
, 1973 Kristin R. Carlson
openalex +1 more source
Correlating the Photoshunt with Charge‐Collection Losses in Organic Solar Cells
Advanced Energy Materials, EarlyView.Quantifying charge extraction losses in organic solar cells is crucial for understanding the origin of power losses and, consequently, for improving the performance. An analytical framework is presented that utilizes a readily available observable photoshunt and its correlation with light intensities for evaluating charge transport properties of a ...
Eunchi Kim +2 more
wiley +1 more source