Biological responses to physicochemical properties of biomaterial surface
Biomedical scientists use chemistry-driven processes found in nature as an inspiration to
design biomaterials as promising diagnostic tools, therapeutic solutions, or tissue …
design biomaterials as promising diagnostic tools, therapeutic solutions, or tissue …
Potential causes of titanium particle and ion release in implant dentistry: a systematic review
R Delgado-Ruiz, G Romanos - International journal of molecular sciences, 2018 - mdpi.com
Implant surface characteristics, as well as physical and mechanical properties, are
responsible for the positive interaction between the dental implant, the bone and the …
responsible for the positive interaction between the dental implant, the bone and the …
[HTML][HTML] Modeling of friction stir welding process using adaptive neuro-fuzzy inference system integrated with harris hawks optimizer
Abstract Friction Stir Welding (FSW) has been paid more attention in recent years due to its
efficiency in welding materials that are difficult to weld by conventional fusion welding …
efficiency in welding materials that are difficult to weld by conventional fusion welding …
Degradation mechanisms and future challenges of titanium and its alloys for dental implant applications in oral environment
Objective For many decades the failure of titanium implants due to corrosion and wear were
approached individually and their synergic effect was not considered. In recent past …
approached individually and their synergic effect was not considered. In recent past …
The bumpy road to stem cell therapies: Rational design of surface topographies to dictate stem cell mechanotransduction and fate
J Carthew, JBJ Taylor, MR Garcia-Cruz… - … Applied Materials & …, 2022 - ACS Publications
Cells sense and respond to a variety of physical cues from their surrounding
microenvironment, and these are interpreted through mechanotransductive processes to …
microenvironment, and these are interpreted through mechanotransductive processes to …
A new approach for prediction of the wear loss of PTA surface coatings using artificial neural network and basic, kernel-based, and weighted extreme learning …
Wear tests are essential in the design of parts intended to work in environments that subject
a part to high wear. Wear tests involve high cost and lengthy experiments, and require …
a part to high wear. Wear tests involve high cost and lengthy experiments, and require …
Simultaneous prediction of delamination and surface roughness in drilling GFRP composite using ANN
Delamination in the drilling of polyester composite reinforced with chopped fiberglass is a
problematic phenomenon. The material's structural integrity is reduced by delamination …
problematic phenomenon. The material's structural integrity is reduced by delamination …
Neuro-fuzzy predictive model for surface roughness and cutting force of machined Al–20 Mg2Si–2Cu metal matrix composite using additives
Today's metal matrix composites are widely used due to their excellent properties, which are
useful for high-performance applications in the automotive and aerospace industries …
useful for high-performance applications in the automotive and aerospace industries …
Fuzzy logic-based model for predicting material removal rate and average surface roughness of machined Nimonic 80A using abrasive-mixed electro-discharge …
In this paper, a fuzzy logic artificial intelligence technique is delineate to predict the material
removal rate (MRR) and average surface roughness (R a) during abrasive-mixed electro …
removal rate (MRR) and average surface roughness (R a) during abrasive-mixed electro …
A tuned hybrid intelligent fruit fly optimization algorithm for fuzzy rule generation and classification
Fuzzy rule-based systems (FRBSs) are well-known soft computing methods commonly used
to tackle classification problems characterized by uncertainties and imprecisions. We …
to tackle classification problems characterized by uncertainties and imprecisions. We …