Results 261 to 270 of about 105,211 (356)

The effect of seawater hardness on cotton fabric dyeing using reactive blue dye

Coloration Technology, EarlyView.
Abstract Oceans are an abundant source of water; their economic potential has not yet been fully exploited. In this context, the current study aims to apply seawater in the dyeing of cotton fabrics, evaluating the influence that total hardness has on the process results.
Iêda Letícia de Souza Ferreira, Clovis de Medeiros Bezerra, Raphael Lucas Jacinto Almeida, Ricardo Paulo Fonseca Melo, Nicole Winne Ribeiro Damasceno, Eduardo Lins de Barros Neto   +5 more
wiley   +1 more source

Flat-Knitted Double-Tube Structure Capacitive Pressure Sensors Integrated into Fingertips of Fully Fashioned Glove Intended for Therapeutic Use. [PDF]

Sensors (Basel)
Fischer S, Böhmer C, Nasrin S, Sachse C, Cherif C.   +4 more
europepmc   +1 more source

Delipidisation of wool fibres and the subsequent beneficial properties of delipidised wool fibres

Coloration Technology, EarlyView.
Abstract Wool fibres are complex matrices of proteins and fatty acids/lipids found both internally and externally. 18‐methyleicosanoic acid (18‐MEA) is covalently bound to the surface of the fibre via a thio‐ester link, and is considered one of the most important lipids as it is responsible for the hydrophobic properties of wool fibres.
Jamie A. Hawkes, David M. Lewis
wiley   +1 more source

Disease burden of myasthenia gravis in relation to oral corticosteroid dose: an insurance claims database study in Japan. [PDF]

Front Neurol
Samukawa M, Konno S, Uzawa A, Taki K, Todaka H, Mishiro I, Quelen C, Łukowicz Z, Majewska R, Ohashi Y.   +9 more
europepmc   +1 more source

Evolution, Mutation and Hybridity in Bio-Performance Practice: Wet Biology and Hybrid Arts in the Performance/Installation 'BioHome—The Chromosome Knitting Project'

, 2008
Catherine Fargher
openalex   +1 more source

Textile and colour defect detection using deep learning methods

Coloration Technology, EarlyView.
Abstract Recent advances in deep learning (DL) have significantly enhanced the detection of textile and colour defects. This review focuses specifically on the application of DL‐based methods for defect detection in textile and coloration processes, with an emphasis on object detection and related computer vision (CV) tasks.
Hao Cui, Abdel‐Fattah Seyam, Renzo Shamey   +2 more
wiley   +1 more source

Navigating decision space: Causal structure improves performance in a branching choice task. [PDF]

PLoS One
Arslan A, Kominsky JF.
europepmc   +1 more source

Dynamic Behavior Analysis of Yarns During Knitting Process of Fabrics

K. Hayano, Hidefumi Wakamatsu, Yoshiharu Iwata, Yuya Yamada   +3 more
openalex   +2 more sources

General Perceptions of Career Decision‐Making Autonomy Among Youth in Rural Philippines: An Experimental Study Examining Cultural and Gender Dynamics

The Developing Economies, EarlyView.
ABSTRACT Gender inequalities persist across various domains where traditional social norms are deeply ingrained. This study examines gendered perceptions of career decision‐making autonomy in the Philippines through self‐determination, social role, and gender congruity theories.
Melisa Fabella, Mai Seki, Makoto Kakinaka   +2 more
wiley   +1 more source

Biomimetic Adaptive Hydrothermal Balance Fabric-Based Dual-Interface Solar Evaporator for Efficient and Stable Desalination. [PDF]

Adv Sci (Weinh)
Niu N, Yu L, Meng J, Fan W, Chen K, He W, Wang Y, Liu Y, Li Y, Sun Z, Zhi C.   +10 more
europepmc   +1 more source