This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva +9 more
wiley +1 more source
The Effect of a Class IV Therapeutic LASER on Post-Surgical Wound Healing Processes in <i>Canis familiaris</i> and <i>Felis catus</i>: A Preliminary Study. [PDF]
Lopes A, Azevedo P, Carreira LM.
europepmc +1 more source
Sucrose‐derived porous carbon network (SPINE‐C) is formed within CNT fibers via FCCVD, bridging inter‐bundles of CNTs and increasing surface area through introduced microporosity. As a result, both mechanical and electrochemical properties are simultaneously enhanced, leading to a 2.8‐fold increase in the power density of a mechano‐electrochemical ...
Hocheol Gwac +9 more
wiley +1 more source
RETRACTION: Assessing Biomarkers for Post-Surgical Wound Healing: A Meta-Analysis of Exosome-Based CircRNA in Breast Cancer Recovery. [PDF]
europepmc +1 more source
Nursing students' skills in surgical wound care improve after clinical simulation: a quasi-experiment. [PDF]
Borges FES +6 more
europepmc +1 more source
The effect of different suture removal time intervals on surgical wound healing.
Masoud Parirokh +2 more
openalex +1 more source
Global Wound Irrigation Solutions Market: Enhancing Surgical and Wound Care Outcomes
Next Move Strategy Consulting
openalex +1 more source
Light‐Responsive Enzyme‐Loaded Nanoparticles for Tunable Adhesion and Mechanical Wound Contraction
This study presents a photoactivatable enzyme‐loaded mesoporous nanoparticle system (MPDA_PaTy) that enables light‐triggered tunable tissue adhesion and facilitates mechanical wound contraction. Controlled enzymatic crosslinking at tissue or hydrogel interfaces allows on‐demand adhesion.
Junghyeon Ko +10 more
wiley +1 more source
RETRACTION: Risk Predictions of Surgical Wound Complications Based on a Machine Learning Algorithm: A Systematic Review. [PDF]
europepmc +1 more source

