Surface functionalization of chitosan as a coating material for orthopaedic applications: A comprehensive review

S Kumari, HR Tiyyagura, YB Pottathara… - Carbohydrate …, 2021 - Elsevier
Metallic implants have dominated the biomedical implant industries for the past century for
load-bearing applications, while the polymeric implants have shown great promise for tissue …

Review of recent developments in surface nanocrystallization of metallic biomaterials

S Acharya, S Suwas, K Chatterjee - Nanoscale, 2021 - pubs.rsc.org
Metallic materials are widely used to prepare implants for both short-term and long-term use
in the human body. The performance of these implants is greatly influenced by their surface …

Prediction of polycarbonate degradation in natural atmospheric environment of China based on BP-ANN model with screened environmental factors

D Wu, D Zhang, S Liu, Z **… - Chemical Engineering …, 2020 - Elsevier
The degradation of polycarbonate (PC) varies with different service environments. To predict
the degradation of PC in atmospheric environments, a back propagation artificial neural …

Deep learning with digital holographic microscopy discriminates apoptosis and necroptosis

J Verduijn, L Van der Meeren, DV Krysko… - Cell death …, 2021 - nature.com
Regulated cell death modalities such as apoptosis and necroptosis play an important role in
regulating different cellular processes. Currently, regulated cell death is identified using the …

Multi-factor mining and corrosion rate prediction model construction of carbon steel under dynamic atmospheric corrosion environment

X Song, K Wang, L Zhou, Y Chen, K Ren… - Engineering Failure …, 2022 - Elsevier
For vehicles and vessels like cars and ships, the practical environmental conditions
encountered are consequences of dynamic and static operation, include moving off and …

Prediction of multilayer Cr/GLC coatings degradation in deep-sea environments based on integrated mechanistic and machine learning models

H Ma, P Qin, Y Cui, R Liu, P Ke, F Wang, L Liu - Corrosion Science, 2023 - Elsevier
Improving the accuracy of coating lifetime prediction on small sample data has been an
urgent issue to be addressed. In this paper, based on in-situ electrochemical impedance …

Soft hydrogel actuator for fast machine-learning-assisted bacteria detection

FV Lavrentev, IS Rumyantsev, AS Ivanov… - … Applied Materials & …, 2022 - ACS Publications
We demonstrate that our bio-electrochemical platform facilitates the reduction of detection
time from the 3-day period of the existing tests to 15 min. Machine learning and robotized …

Synthesis and structures of divalent Co, Ni, Zn and Cd complexes of mixed dichalcogen and dipnictogen ligands with corrosion inhibition properties: experimental and …

TL Yusuf, TW Quadri, GF Tolufashe, LO Olasunkanmi… - RSC …, 2020 - pubs.rsc.org
The structural and corrosion inhibition properties of four different transition-metal complexes
of heteroleptic S-donor atom dithiophosphonate and N-donor atom phenanthroline ligands …

Numerical analysis of thermal spray coatings using artificial neural networks (ANN) overview

SS Kumar, CD Prasad, H Hanumanthappa… - International Journal on …, 2024 - Springer
Numerical analysis is vital in studying and optimizing surface coating processes, which
involve applying a thin layer of material onto a substrate to improve properties like wear …

Entropy Generation Minimization in a Parabolic Trough Collector Operating With SiO2–Water Nanofluids Using the Genetic Algorithm and Artificial Neural Network

EC Okonkwo, H Adun… - Journal of …, 2020 - asmedigitalcollection.asme.org
The paper presents an entropy generation minimization study for a solar parabolic trough
collector (PTC) operating with SiO2–water nanofluid using a genetic algorithm (GA) and …