Analysis on Mechanical Behavior of Additively Manufactured PLA/Eggshell Composites Using Machine Learning Algorithms DOI
Nisha Soms,

K. Ravikumar,

N. Gunasekar

и другие.

Journal of Materials Engineering and Performance, Год журнала: 2024, Номер unknown

Опубликована: Дек. 21, 2024

Язык: Английский

Metal-Phenolic Modified Coaxial Electrospun Biomembrane Combined with the Photothermal Effect Enhances Bone Regeneration by Ameliorating Oxidative Stress and Mitochondrial Dysfunction via the PI3K/Akt Signaling Pathway DOI

Shikang Zheng,

Xiu-Mei Sun,

Kai Chen

и другие.

ACS Applied Materials & Interfaces, Год журнала: 2025, Номер unknown

Опубликована: Фев. 27, 2025

Critical-sized bone defect regeneration remains a significant clinical challenge due to the complex cascade of biological processes involved. To address this, we developed sophisticated hierarchical biomembrane (PCS@MPN10) designed modulate osteogenic microenvironment. Using coaxial electrospinning, fabricated core–shell structure with polylactic acid (PLA) as membrane base, incorporating simvastatin in core and chitosan shell. The surface was further modified tannic acid-iron metal-polyphenol network coating. Our results demonstrated that exhibits excellent biocompatibility, photothermal properties, antibacterial activity. Additionally, regulates microenvironment by promoting M1-to-M2 macrophage polarization, showing strong potential both vitro vivo. Furthermore, PCS@MPN10+NIR modulates mitochondrial function through PI3K-AKT pathway, clears reactive oxygen species (ROS), alleviates cellular oxidative stress, thereby enhancing regeneration. Overall, these findings suggest this holds great promise strategy for improving critical-sized defects.

Язык: Английский

Процитировано

0

Polyphenol Microneedles for Dermatological Therapy DOI
Chunlei Liu,

Jinhui Ran,

Xie Zhi-ping

и другие.

Macromolecular Bioscience, Год журнала: 2025, Номер unknown

Опубликована: Фев. 28, 2025

Abstract Dermatological diseases represent one of the most prevalent health concerns globally, with associated care and treatment costs having consistently increased over past decade. Current therapeutic modalities, including topical medications, oral pharmaceuticals, physical therapies, frequently face challenges such as inadequate drug absorption substantial adverse effects. Microneedles, recognized minimally invasive delivery systems, effectively penetrate cutaneous barrier to enhance permeability efficacy. Polyphenols—abundant in botanical marine sources—demonstrate diverse pharmacological properties encompassing anti‐inflammatory antioxidant activities. The integration polyphenols microneedle technology has emerged a promising strategy for dermatological conditions, demonstrating significant clinical potential. This review examines multifunctional capabilities polyphenol‐incorporated microneedles elucidates their mechanisms action managing disorders. Furthermore, it synthesizes recent progress polyphenol‐based applications various pathologies, acne vulgaris, psoriasis, atopic dermatitis. Finally, current is discussed proposed future research directions optimizing polyphenol systems therapeutics.

Язык: Английский

Процитировано

0

Deep Learning Methods Utilization in Mechanical Property of Medium‐Mn Steel DOI
Haijun Pan, Wenyu Tao,

Shunhu Zhang

и другие.

steel research international, Год журнала: 2024, Номер 95(9)

Опубликована: Июль 2, 2024

This study presents an innovative method to predict the mechanical properties of medium‐Mn steel by deep learning (DL). Based on datasets, artificial neural network (ANN) model serves as a crucial component DL, demonstrating coefficient determination 0.996, which indicates high accuracy between experimental and predicted values. Meanwhile, contents Mn C, well Al intercritical annealing (IA) conditions, have higher permutation feature importance (PFI) scores, are 22.37% 49.22%, respectively. An ANN predicts that has good with IA at 710 °C for 60 min, values ultimate tensile strength (UTS) total elongation (TE) being 925 MPa 45.3%, The UTS (937 MPa) TE (44.8%) closely correspond results. absolute errors 1.2% 1.1%,

Язык: Английский

Процитировано

1

A flexible electrochemical sensor based on Fe-doped polydopamine derived carbon for simultaneous detection of dopamine and uric acid DOI
X.B. Wang, Wenbin Wang, Meng Gao

и другие.

Analytical Methods, Год журнала: 2024, Номер unknown

Опубликована: Янв. 1, 2024

A free-standing electrode based on carbon cloth-supported Fe-doped polydopamine-derived (Fe/PDA-C/CC) was developed for the simultaneous detection of dopamine (DA) and uric acid (UA). First, self-polymerized surface cloth to obtain polydopamine coatings. Subsequently, Fe

Язык: Английский

Процитировано

0

Anchorage of ZnO quantum dots and CuO on graphene for sonophotocatalytic treatment of pharmaceutical effluent: From experimental data and prediction by advanced machine learning algorithms DOI

Atena Akbari Kohnehsari,

Azadeh Ebrahimian Pirbazari, Fatemeh Esmaeili Khalil Saraei

и другие.

Colloids and Surfaces A Physicochemical and Engineering Aspects, Год журнала: 2024, Номер 705, С. 135724 - 135724

Опубликована: Ноя. 5, 2024

Язык: Английский

Процитировано

0

Analysis on Mechanical Behavior of Additively Manufactured PLA/Eggshell Composites Using Machine Learning Algorithms DOI
Nisha Soms,

K. Ravikumar,

N. Gunasekar

и другие.

Journal of Materials Engineering and Performance, Год журнала: 2024, Номер unknown

Опубликована: Дек. 21, 2024

Язык: Английский

Процитировано

0