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How circular design can contribute to social sustainability and legacy of the FIFA World Cup Qatar 2022™? The case of innovative shipping container stadium
(
Elsevier
, 2021 , Article)
The circular economy proposes a paradigm shift from the ‘take-make-waste’ type of economic system and aims to foster innovation, resource efficiency, and waste prevention. Mega sporting events can be considered great ...
2D-MXene as an additive to improve the power conversion efficiency of monolithic perovskite solar cells
(
Elsevier B.V.
, 2022 , Article)
In this study, two-dimensional (2D) material-MXene has been utilized as an additive in perovskite (MAPbI3) from 0 to 20 vol.% with an increment of 5 vol.%. The effect of different vol.% of 2D-MXene on monolithic perovskite ...
Comparison study of metal oxides (CeO2, CuO, SnO2, CdO, ZnO and TiO2) decked few layered graphene nanocomposites for Dye-Sensitized solar cells
(
MDPI AG
, 2021 , Article)
Recent research is focused on few layered graphene (FLG) with various metal oxides (MOs) as (MOs; CeO2, CuO, SnO2, CdO, ZnO, and TiO2) nanocomposite materials are alternatives to critically important in the fabrication of ...
Superior non-invasive glucose sensor using bimetallic cuni nanospecies coated mesoporous carbon
(
MDPI
, 2021 , Article)
The assessment of blood glucose levels is necessary for the diagnosis and management of diabetes. The accurate quantification of serum or plasma glucose relies on enzymatic and nonenzymatic methods utilizing electrochemical ...
Design of Titanium Alloy Femoral Stem Cellular Structure for Stress Shielding and Stem Stability: Computational Analysis
(
MDPI
, 2022 , Article)
The main objective of this study is to design titanium alloy femoral stems with cubic porous structures that will be able to reduce stress shielding and promote stem stability. These porous structure designs were introduced ...
Modelling fatigue uncertainty by means of nonconstant variance neural networks
(
Wiley
, 2022 , Article)
The modelling of fatigue using machine learning (ML) has been gaining traction in the engineering community. Among ML techniques, the use of probabilistic neural networks (PNNs) has recently emerged as a candidate for ...
Application of Metastructures for Targeted Low-Frequency Vibration Suppression in Plates
(
Springer
, 2022 , Article)
Purpose
We present an approach that combines finite element analysis and genetic algorithms to find the optimal configuration of local resonators created in the host structure to suppress their vibration in a target ...
3D Bioprinted cancer models: Revolutionizing personalized cancer therapy
(
Neoplasia Press, Inc.
, 2021 , Article)
After cardiovascular disease, cancer is the leading cause of death worldwide with devastating health and economic consequences, particularly in developing countries. Inter-patient variations in anti-cancer drug responses ...
Cellular uptake and retention of nanoparticles: Insights on particle properties and interaction with cellular components
(
Elsevier Ltd
, 2020 , Article)
The utilization of nanomaterials in the biological and medical field is quickly progressing, particularly in areas where traditional diagnostics and treatment approaches have limited success. The success of nanomaterials ...
Increased complications of COVID-19 in people with cardiovascular disease: Role of the renin-angiotensin-aldosterone system (RAAS) dysregulation
(
Elsevier Ireland Ltd
, 2022 , Article)
The rapid spread of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) that causes coronavirus disease 2019 (COVID?19), has had a dramatic negative impact on public health and economies worldwide. Recent studies ...