ArticleACS omega2024
Intrinsic Repeated Self-Healing Textiles: Developing Electrospun Fabrics for Enhanced Durability and Stretchability.
Article in ACS omega, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
2 citing papers in PubMed.
- Strain-Specific Lactobacillus Probiotics Intervention in Mitigating Obesity and Metabolic Dysregulation via Gut Microbiota Modulation in a Mouse Model of High-Fat Diet.Probiotics and antimicrobial proteins · 2026Article
- Achieving Intrinsically Self-Healing Fabrics with Breathability, Surface Self-Repairing, and Underwater Adhesion via Nanoparticle-Polymer Gel Synergistic Coatings.Small (Weinheim an der Bergstrasse, Germany) · 2025Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The development of healable polymers represents a significant advancement in materials science, addressing the need for sustainable solutions that can reduce waste and prolong the lifespan of various products. For the development of healable polymer fabrics, however, there are still unsolved issues because of limited healing cycles and poor mechanical properties. In this work, we present intrinsically healable materials for the creation of stretchable, healable fabrics. Specifically, a blend of polyurethane (TPU) and poly(thiourea triethylene glycol) (PTUEG
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.