Objective: This study explored the interaction between environment and behavior and analyzed the effect of physical environment stimuli and individual differences on environmental perception.
Methods: We investigated the effects of two kinds of noise sensitivities (high sensitivity and low sensitivity) and three kinds of noise types (quiet, road traffic noise, and speech noise) on working memory and noise annoyance of college students through questionnaires and experiments.
Results: (i) noise sensitivity was positively correlated with neuroticism and negatively correlated with conscientiousness. (ii) The interaction between noise sensitivity and noise type significantly affected the accuracy of working memory. (iii) Both noise sensitivity and the main effect of noise type significantly affected the response time of working memory. (iv) The interaction between noise sensitivity and noise type significantly affects noise annoyance.
Conclusion: There were significant differences in working memory performance and subjective noise annoyance among individuals with different levels of noise sensitivity.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9743306 | PMC |
http://dx.doi.org/10.4103/nah.nah_6_22 | DOI Listing |
Brief Bioinform
November 2024
Center for Artificial Intelligence Research, Wake Forest University School of Medicine, Winston-Salem, NC 27101, United States.
Pathway analysis plays a critical role in bioinformatics, enabling researchers to identify biological pathways associated with various conditions by analyzing gene expression data. However, the rise of large, multi-center datasets has highlighted limitations in traditional methods like Over-Representation Analysis (ORA) and Functional Class Scoring (FCS), which struggle with low signal-to-noise ratios (SNR) and large sample sizes. To tackle these challenges, we use a deep learning-based classification method, Gene PointNet, and a novel $P$-value computation approach leveraging the confusion matrix to address pathway analysis tasks.
View Article and Find Full Text PDFMater Horiz
January 2025
School of Materials Scicence and Engineering, South China University of Technology, Guangzhou, 510640, China.
Multifunctional devices based on van der Waals heterojunctions have drawn significant attention owing to their portable size, low power consumption and various application scenarios. However, high fabrication equipment requirements, complex device structures and limited operating conditions hinder their potential value. Herein, multifunctional UV photodetect-memristors based on GaS/graphene/GaN van der Waals heterojunctions area selective deposition have been proposed for the first time.
View Article and Find Full Text PDFAnal Chem
January 2025
Department of Chemistry, College of Sciences, Northeastern University, Shenyang 110819, China.
Detection and imaging of dual miRNAs based on AND logic gates can improve the accuracy of the early diagnosis of disease. However, a single target may lead to false positive. Hence, this work rationally integrates hyperbranched rolling circle amplification (HRCA) with Cas12a by replacing the PAM sequence with a bubble to sensitively detect and image miRNA-10b and miRNA-21 based on the AND logic gate.
View Article and Find Full Text PDFWe propose and experimentally demonstrate what we believe to be the first mid-infrared surface plasmon resonance (SPR) fiber optic sensor using a D-shaped multimode silica optical fiber coated with a 105 nm indium tin oxide (ITO) layer. The sensor shows resonance around 2700 nm, with a refractive index sensitivity of 1065.70 nm per refractive index unit (nm/RIU) for refractive indices ranging from 1.
View Article and Find Full Text PDFThe electron-bombarded active pixel sensor (EBAPS) is a highly sensitive vacuum-solid hybrid low-light imaging device capable of functioning in ultra-low illumination environments as low as 10-4 lx. However, this high sensitivity also causes problems, such as a low signal-to-noise ratio and complex noise. To enhance the quality of low-light night vision images captured by EBAPS and achieve effective imaging in ultra-low illumination, this study proposes a noise reduction algorithm based on the noise characteristics of EBAPS images.
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