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Judgment of Social Traits and Emotions of "Neutral" Avatars.
Cyberpsychol Behav Soc Netw
January 2025
Department of Psychology, Vanderbilt University, Nashville, Tennessee, USA.
With the rapid advance of technology, human interactions with virtual avatars in simulated social environments are becoming increasingly common. The aim of the current study was to examine users' perception of social traits and emotions of "neutral," expressionless avatars using an open-source collection. These avatars represented different ethnicities, genders, and occupations via visual features including skin tone, facial structure, and apparel.
View Article and Find Full Text PDFHomeostatic Microfiber-Composed Synthetic Leathers with Chemical Robustness and Undercooling Self-Regulation.
ACS Appl Mater Interfaces
December 2024
Zhejiang Provincial Engineering Research Center for Green and Low-Carbon Dyeing & Finishing, Ministry of Education, Zhejiang Sci-Tech University, Hangzhou 310018, China.
Homeostatic microfiber leathers with temperature self-regulation promise broad applications, ranging from the apparel and automotive interior industries to the home furnishing and healthcare industries. Temperature self-regulation is achieved by phase-change materials containing microcapsules introduced within the leathers. The introduction of hase hange icrocapsules (PCMs) into microfiber leather faces two formidable challenges: (1) the shell of microcapsules must remain chemically stable against alkalis and organic solvents; (2) PCMs possess the ability to reduce supercooling during which latent heat is released, allowing for the precise and controllable release of latent heat.
View Article and Find Full Text PDFA novel green approach for reactive printing of cotton/cellulosic regenerated blended fabrics using trisodium nitrilotriacetate.
Sci Rep
October 2024
Dyeing, Printing and Dye Intermediates Department, Textile Research and Technology Institute, National Research Centre, 33 EL Buhouth St, Dokki, 12622, Giza, Egypt.
Owing to their comfort, handle, and aesthetic characteristics, cotton fabrics will always be the first and primary choice for clothing and apparel. In recent years, regenerated cellulosic fabrics like bamboo, Tencel, and modal fabrics have had many natural advantages. Fabrics based on blending cotton fibres with regenerated cellulosic fibres are considered promising products in textile industry sectors.
View Article and Find Full Text PDFValorization of diverse waste-derived nanocellulose for multifaceted applications: A review.
Int J Biol Macromol
October 2024
School of Computing, Engineering and Digital Technologies, Teesside University, Tees Valley, Middlesbrough TS1 3BX, United Kingdom. Electronic address:
The study underscores the urgent need for sustainable waste management by focusing on circular economy principles, government regulations, and public awareness to combat ecological threats, pollution, and climate change effects. It explores extracting nanocellulose from waste streams such as textile, paper, agricultural matter, wood, animal, and food waste, providing a detailed process framework. The emphasis is on waste-derived nanocellulose as a promising material for eco-friendly products.
View Article and Find Full Text PDFBio-inspired deep neural local acuity and focus learning for visual image recognition.
Neural Netw
January 2025
Engineering Research Center of Digitized Textile & Apparel Technology, Ministry of Education, Donghua University, Shanghai 201620, China; College of Information Sciences and Technology, Donghua University, Shanghai 201620, China.
In the field of computer vision and image recognition, enabling the computer to discern target features while filtering out irrelevant ones poses a challenge. Drawing insights from studies in biological vision, we find that there is a local visual acuity mechanism and a visual focus mechanism in the initial conversion and processing of visual information, ensuring that the visual system can give ear to salient features of the target in the early visual observation phase. Inspired by this, we build a novel image recognition network to focus on the target features while ignoring other irrelevant features in the image, and further focus on the focus features based on the target features.
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