Skip to main content

Research Repository

Advanced Search

All Outputs (1439)

Rapid detection of tetracycline residues at clinically relevant levels via a novel, inexpensive and analytically-sensitive magneto-immunoassay – A feasibility study (2023)
Journal Article

Expensive, time-consuming and labour-intensive solvent-extraction and liquid-chromatography methods are the industry's current gold standard for antibiotic residue quantification. A novel immunoassay methodology and system for the rapid detection of... Read More about Rapid detection of tetracycline residues at clinically relevant levels via a novel, inexpensive and analytically-sensitive magneto-immunoassay – A feasibility study.

Performance enhancement by exploiting geometrical nonlinearity of inerters in a two-stage vibration isolator (2023)
Journal Article

This research proposes a two-stage vibration isolation system (TS-VIS) exploiting geometrical nonlinearity by inerters for performance enhancement. Lateral inerters are added to upper and lower stages creating geometric nonlinearity. The transmissibi... Read More about Performance enhancement by exploiting geometrical nonlinearity of inerters in a two-stage vibration isolator.

An electrochemical screen-printed sensor based on gold-nanoparticle-decorated reduced graphene oxide–carbon nanotubes composites for the determination of 17-β estradiol (2023)
Journal Article

In this study, a screen-printed electrode (SPE) modified with gold-nanoparticle-decorated reduced graphene oxide–carbon nanotubes (rGO-AuNPs/CNT/SPE) was used for the determination of estradiol (E2). The AuNPs were produced through an eco-friendly me... Read More about An electrochemical screen-printed sensor based on gold-nanoparticle-decorated reduced graphene oxide–carbon nanotubes composites for the determination of 17-β estradiol.

Parametric and machine learning-based analysis of the seismic vulnerability of adobe historical buildings damaged after the September 2017 Mexico earthquakes (2023)
Journal Article

In September 2017, two strong earthquakes hit the central region of Mexico, producing substantial damage to the historical buildings. A retroactive analysis for assessing the pre-event seismic vulnerability of these constructions allowed for testing... Read More about Parametric and machine learning-based analysis of the seismic vulnerability of adobe historical buildings damaged after the September 2017 Mexico earthquakes.

On the seismic vulnerability assessment of urban areas using census data: The Lisbon metropolitan area as a pilot study area (2023)
Journal Article

This paper presents a procedure for the application of an index-based vulnerability assessment method to the seismic risk assessment of 292,978 reinforced concrete and 152,916 unreinforced masonry buildings in the Lisbon Metropolitan Area (LMA). A si... Read More about On the seismic vulnerability assessment of urban areas using census data: The Lisbon metropolitan area as a pilot study area.

Effects of stance control via hidden Markov model-based gait phase detection on healthy users of an active hip-knee exoskeleton (2023)
Journal Article

Introduction: In the past years, robotic lower-limb exoskeletons have become a powerful tool to help clinicians improve the rehabilitation process of patients who have suffered from neurological disorders, such as stroke, by applying intensive and re... Read More about Effects of stance control via hidden Markov model-based gait phase detection on healthy users of an active hip-knee exoskeleton.

Investigating the challenges of engineering project managers in achieving sustainability in the UK construction industry (2023)
Journal Article

Aim: The essential purpose of the current research was to identify the challenges faced by project engineering managers in the UK construction industry while seeking to achieve sustainability. Study Design: The current study was built upon six import... Read More about Investigating the challenges of engineering project managers in achieving sustainability in the UK construction industry.

Numerical shape, thickness and stacking sequence optimisation and experimental study of hybrid composite plates under in-plane shear loading (2023)
Journal Article

Shape, thickness and stacking sequence optimisation of a damage tolerant hybrid (GFRP-CFRP) composite laminate is performed using the commercial Optistruct solver. The results of the optimisation study are compared to both a benchmark non-damage tole... Read More about Numerical shape, thickness and stacking sequence optimisation and experimental study of hybrid composite plates under in-plane shear loading.