Engineering Commons^™

Current Topics In Technology-Enabled Stroke Rehabilitation And Reintegration: A Scoping Review And Content Analysis, Katryna Cisek

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Background. There is a worldwide health crisis stemming from the rising incidence of various debilitating chronic diseases, with stroke as a leading contributor. Chronic stroke management encompasses rehabilitation and reintegration, and can require decades of personalized medicine and care. Information technology (IT) tools have the potential to support individuals managing chronic stroke symptoms. Objectives. This scoping review identifies prevalent topics and concepts in research literature on IT technology for stroke rehabilitation and reintegration, utilizing content analysis, based on topic modelling techniques from natural language processing to identify gaps in this literature. Eligibility Criteria. Our methodological search initially identified over 14,000 …

Deep Learning Framework For Intelligent Pavement Condition Rating: A Direct Classification Approach For Regional And Local Roads, Waqar Shahid Qureshi, David Power, Ihsan Ullah, Brian Mulry, Kieran Feighan, Susan Mckeever, Dympna O'Sullivan

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Transport authorities rely on pavement characteristics to determine a pavement condition rating index. However, manually computing ratings can be a tedious, subjective, time-consuming, and training-intensive process. This paper presents a deep-learning framework for automatically rating the condition of rural road pavements using digital images captured from a dashboard-mounted camera. The framework includes pavement segmentation, data cleaning, image cropping and resizing, and pavement condition rating classification. A dataset of images, captured from diverse roads in Ireland and rated by two expert raters using the pavement surface condition index (PSCI) scale, was created. Deep-learning models were developed to perform pavement segmentation and …

Influence Of Physical And Mechanical Parameters On Cavitation Erosion And Antifouling Behaviour Of Multilayer Silica-Based Hybrid Sol–Gel Coatings On Aluminium Alloys, Manasa Hegde, Marta Mroczkowska, Joseph Mohan, Adriana Cunha Neves, Yvonne Kavanagh, Brendan Duffy, Edmond F. Tobin

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Sol–gel coatings can provide anti-fouling and erosion resistance while being safe to use in the marine environment. MAPTMS/ZPO multilayer coatings deposited on the AA2024-T3 aluminium surface using the dip-coating method at three different thicknesses (2, 4, and 6 m) are investigated in this work. The coatings are characterised in terms of physical and mechanical properties, and these properties are investigated in comparison to previously obtained cavitation erosion resistance levels of the coatings. Additionally, the efficiency of the coatings against biofouling was assessed using Phaeodactylum tricornutum, a marine diatom. The influence of the formation of organic–inorganic hybrid materials (OIHMs) from the …

The Future Of Clinical Trials Of Myopia Control, Mark A. Bullimore, Noel A. Brennan, Daniel I. Flintcroft

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In the field of myopia control, effective optical or pharmaceutical therapies are now available to patients in many markets. This creates challenges for the conduct of placebo-controlled, randomised clinical trials, including ethics, recruitment, retention, selective loss of faster progressors and non-protocol treatments: 1. Ethics: It is valid to question whether withholding treatment in control subjects is ethical. 2. Recruitment: Availability of treatments is making recruitment into clinical trials more difficult. 3. Retention: If masking is not possible, parents may immediately withdraw their child if randomised to no treatment. 4. Selective loss: Withdrawal of fast progressors in the control group leading …

Enhanced Fractional Adaptive Processing Paradigm For Power Signal Estimation, Naveed Ishtiaq Chaudhary, Zeshan Aslam Khan, Muhammad Asif Zahoor Raja, Iqra Ishtiaq Chaudhary

Articles

Fractional calculus tools have been exploited to effectively model variety of engineering, physics and applied sciences problems. The concept of fractional derivative has been incorporated in the optimization process of least mean square (LMS) iterative adaptive method. This study exploits the recently introduced enhanced fractional derivative based LMS (EFDLMS) for parameter estimation of power signal formed by the combination of different sinusoids. The EFDLMS addresses the issue of fractional extreme points and provides faster convergence speed. The performance of EFDLMS is evaluated in detail by taking different levels of noise in the composite sinusoidal signal as well as considering various …

Monitoring And Modelling The Glutamine Metabolic Pathway: A Review And Future Perspectives, Zohreh Mirveis, Paul Cahill, Nitin Patel, Hugh Byrne

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In this review, the contribution of NMR to the metabolomics field will be discussed—particularly as it relates to cancer and drug metabolism research. An overview of the typical NMR metabolomic experiment will be presented while emphasizing important caveats ranging from experimental design to data interpretation.

Numeracy-Meets: An Innovative Professional Development Model For Adult Numeracy Practitioners In Ireland, Mark Prendergast, Annette Forster, Niamh O'Meara, Kathy O'Sullivan, Fiona Faulkner

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Despite the clear and obvious need for adults to be proficient in numeracy, international studies suggest that many continue to struggle in this area. In Ireland, one of the main challenges continues to be the availability of effective adult numeracy education. This is a diverse sector, and little is known about the varied provision of adult numeracy courses and of those who teach on them. Recent research has highlighted an unmet demand for the professional development of adult numeracy practitioners with many looking for opportunities to network and further develop their practice. This study aimed to design, implement and evaluate …

Machine-Learning-Based Head Impact Subtyping Based On The Spectral Densities Of The Measurable Head Kinematics, Xianghao Zhan, Yiheng Li, Yuzhe Liu, Nicholas J. Cecchi, Samuel J. Raymond, Zhou Zhou, Hossein Vahid Alizadeh, Jesse Ruan, Saeed Barbat, Stephen Tiernan, Olivier Gevaert, Michael M. Zeineh, Gerald A. Grant, David B. Camarillo

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Traumatic brain injury can be caused by head impacts, but many brain injury risk estimation models are not equally accurate across the variety of impacts that patients may undergo and the characteristics of different types of impacts are not well studied. We investigated the spectral characteristics of different head impact types with kinematics classification. Methods: Data was analyzed from 3,262 head impacts from lab reconstruction, American football, mixed martial arts, and publicly available car crash data. A random forest classifier with spectral densities of linear acceleration and angular velocity was built to classify head impact types (e.g., football, car crash, …

Know An Emotion By The Company It Keeps: Word Embeddings From Reddit/Coronavirus, Alejandro García-Rudolph, David Sanchez-Pinsach, Dietmar Frey, Eloy Opisso, Katryna Cisek, John Kelleher

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Social media is a crucial communication tool (e.g., with 430 million monthly active users in online forums such as Reddit), being an objective of Natural Language Processing (NLP) techniques. One of them (word embeddings) is based on the quotation, “You shall know a word by the company it keeps,” highlighting the importance of context in NLP. Meanwhile, “Context is everything in Emotion Research.” Therefore, we aimed to train a model (W2V) for generating word associations (also known as embeddings) using a popular Coronavirus Reddit forum, validate them using public evidence and apply them to the discovery of context for specific …

Rapid Detection Of Sars-Cov-2 Nucleocapsid Protein By A Label-Free Biosensor Based On Optical Fiber Cylindrical Micro-Resonator, Ru-Lei Xia, Bin Liu, Yingying Hu, Juan Liu, Yue Fu, Xing-Dao He, Ping Lu, Yingying Hu, Gerald Farrell

Articles

The current global outbreak of coronavirus (COVID-19) continues to be a severe threat to human health. Rapid, low-cost, and accurate antigen detection methods are very important for disease diagnosis. The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) nucleocapsid protein (N-Protein) is often used as the diagnostic and screening for coronavirus detection. To this end, we propose and experimentally validate a highly sensitive whispering gallery mode (WGM) optical cylindrical micro-resonator (CMR) for bio immunoassay detection. To study the biokinetic process of immunoassay, the surface of the WGM micro-resonator is functionalized with N-Protein monoclonal antibody (N-Protein-m Ab), which led to the specific detection …

Comparative Simulations Of An Electrochromic Glazing And A Roller Blind As Controlled By Seven Different Algorithms, Hani Alkhatib, Philippe Lemarchand, Brian Norton, Dympna O'Sullivan

Articles

The use of roller blind as a surrogate for a switchable glazing in a dynamic building environmental simulation is investigated. Seven different control algorithms were applied to simulations of both operations of the blind and of the switchable glazing. The configurations compared were an electrochromic glazing and a roller blind, the controllers used were rule-based, proportional-integral-derivative (PID), anti-windup PID (a PID) and a model predictive controller (MPC). Particular case studies were examined in the weather conditions of Dublin, Ireland to make comparisons of simulated energy savings and occupancy daylight comfort from the use of electrochromic glazing or a roller blind …

Hmm, You Seem Confused! Tracking Interlocutor Confusion For Situated Task-Oriented Hri, Na Li, Robert J. Ross

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Our research seeks to develop a long-lasting and high-quality en- gagement between the user and the social robot, which in turn requires a more sophisticated alignment of the user and the system than is currently commonly available. Close monitoring of inter- locutors’ states, and we argue their confusion state in particular, and adjusting dialogue policies based on this state of confusion is needed for successful joint activity. In this paper, we present an ini- tial study of a human-robot conversation scenarios using a Pepper robot to investigate the confusion states of users. A Wizard-of-Oz (WoZ) HRI experiment is illustrated in …

Virtual Industry Visits, Cian Farrell

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Cian Farrell of Technological University Dublin describes a virtual educational approach trialled during the Covid-19 pandemic to engage students during a period of remote learning and educate them on industry processes and practices. Virtual industry visits saw students receive online briefings and tours of manufacturing plants and construction sites from industry representatives to complement their taught modules. The virtual visits have continued since Covid restrictions eased as part of a hybrid approach to learning that increases student exposure to real-life projects. The initiative won the Institution of Structural Engineers Excellence in Structural Engineering Education Award in 2022.

Deactivation Effects Of Tb3+ On Ho3+ Emission In Fluoroindate Glasses For 3.9 Μm Laser Applications, Zhi Zhang, Zhuowei Cheng, Ruicong Wang, Shunbin Wang, Gerald Farrell, Shijie Jia, Pengfei Wang

Articles

A series of Ho3+/Tb3+ co-doped fluoroindate glasses with good thermal stability have been synthesized to study the deactivation effects of Tb3+ on the Ho3+: 3.9 μm emission. Efficient 3.9 μm emission enhancement is obtained under excitation by an 888 nm laser diode (LD). The Judd-Ofelt (J-O) intensity parameters and radiative properties are calculated to evaluate the spectroscopic properties. Possible energy transfer processes resulting in emission reinforcement are discussed. A higher spontaneous transition probability and larger peak emission cross section are achieved with the inclusion of Tb3+. This analysis supports the conclusion that Ho3+/Tb3+ co-doped fluoroindate glass is a potentially useful …

High-Sensitivity Vector Bend Sensor Based On A Fiber Directional Coupler Inscribed By A Femtosecond Laser, Ke Tian, Mingyuan Zhang, Chuanzhein Zhao, Huibin Li, Shilong Li, Yuxuan Jiang, Gerald Farrell, Pengfei Wang

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In this Letter, we demonstrate a high-sensitivity vector bend sensor based on a fiber directional coupler. The fiber directional coupler is composed of two parallel waveguides inscribed within a no-core fiber (NCF) by a femtosecond laser. Since the two written waveguides have closely matched refractive indices and geometries, the transmission spectrum of the fiber directional coupler possesses periodic resonant dips. Such a fiber directional coupler exhibits a good bending-dependent spectral shift response due to its asymmetric structure. Experimental results show that bending sensitivities of -97.11 nm/m-1 and 58.22 nm/m-1 are achieved for the 0° and 180° orientations in the curvature …

Efficient 2075-Nm Laser Emission From Ho3+-Doped Fluorotellurite Glass In A Compact All-Fiber Structure, Liyuan Wang, Xiaotong Zhao, Nian Lv, Niannian Xu, Zhenrui Li, Gerald Farrell, Shunbin Wang, Pengfei Wang

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In this Letter, we report an Ho3+-doped fluorotellurite glass all-fiber laser at 2075 nm. The gain fiber is pumped in-band with a 1976-nm fiber laser and connected by fusion splicing. A high-quality fusion splicing point with a loss of < 0.1 dB was obtained by finely adjusting the splicing power and offset. In addition, by optimizing the writing parameters, a third-order fiber Bragg grating (FBG) with a reflectivity of 98% was achieved at 2075 nm using the femtosecond laser direct-writing method. Using the FBG as the laser cavity mirror and a relatively short 28-cm-long home-made Ho3+-doped fluorotellurite fiber as the laser medium, a laser with a maximum unsaturated output power of 7.33 W was obtained, and the corresponding slope efficiency was as high as 93.4%. The first, to the best of our knowledge, demonstration of the fluorotellurite glass all-fiber ∼2.1-µm laser presented in this work may pave the way for a high-power 2.1-µm fiber laser with a compact structure.

Forecasting Covid-19 Cases Using Dynamic Time Warping And Incremental Machine Learning Methods, Luis Miralles-Pechuán, Ankit Kumar, Andres L. Suarez-Cetrulo

Articles

The investment of time and resources for developing better strategies is key to dealing with future pandemics. In this work, we recreated the situation of COVID-19 across the year 2020, when the pandemic started spreading worldwide. We conducted experiments to predict the coronavirus cases for the 50 countries with the most cases during 2020. We compared the performance of state-of-the-art machine learning algorithms, such as long-short-term memory networks, against that of online incremental machine learning algorithms. To find the best strategy, we performed experiments to test three different approaches. In the first approach (single-country), we trained each model using data …

Thermoelectric Properties Of Cement Composite Analogues From First Principles Calculations, Esther Orisakwe, Conrad S.N. Johnston, Ruchita Jani, Xiaolo Liu, Lorenzo Stella, Jorge Kohanoff's, Niall Holmes Dr., Brian Norton, Ming Qu, Hongxi Yin, Kazuaki Yazawa

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Buildings are responsible for a considerable fraction of the energy wasted globally every year, and as a result, excess carbon emissions. While heat is lost directly in colder months and climates, resulting in increased heating loads, in hot climates cooling and ventilation is required. One avenue towards improving the energy efficiency of buildings is to integrate thermoelectric devices and materials within the fabric of the building to exploit the temperature gradient between the inside and outside to do useful work. Cement-based materials are ubiquitous in modern buildings and present an interesting opportunity to be functionalized. We present a systematic investigation …

Achieving Strong Chemical Interface And Superior Energy-Saving Capability At The Crosslinks Of Rubber Composites Containing Graphene Oxide Using Thiol-Vinyl Click Chemistry, Rui Zhang, Jiaye Li, Zongchao Xu, Stephen Jerrams, Shui Hu, Li Lui, Shipeng Wen, Liqun Zhang

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Rapidly developments in international transportation inevitably lead to an increase in the consumption of energy and resources. Minimizing the rolling resistance of tires in this scenario is a pressing challenge. To lower the rolling resistance of tires, enhancing the interaction between fillers and rubber molecules while improving the dispersion of fillers are required to reduce the internal mutual friction and viscous loss of rubber composites. In this study, graphene oxide (GO) was modified using γ-mercaptopropyltrimethoxysilane (MPTMS) with thiol groups. A modified GO/natural rubber (MGO/NR) masterbatch with a fine dispersion of MGO was then introduced into solution-polymerized styrene butadiene rubber (SSBR) …

Investigation Of Dielectric And Mechanical Properties Of Lignocellulosic Rice Husk Fibril For High And Medium Voltage Electrical Insulation Applications, T. Rajamanikandan, S. Banumathi, B. Karthikeyan, R. Palanisamy, Mohit Bajaj, Hossam Zawbaa, Salah Kamel

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The insulating material is made from rice husk and epoxy resin which are ecologically friendly and incredibly durable. When coarse Rice husk is mechanically disintegrated, fibrils are formed. By weaving together fibrillated threads, and robust biodegradables, lightweight dielectric fibers are created. Then the Composites are examined utilizing a blend of agave Rice husk fibers (10–35%) and an epoxy resin solution. The Chemical treatment of the Rice husk fibers increases the composites’ mechanical strength and electrical insulating properties. The tensile strength of Rice husk in epoxy composites is increased from 37.84 MPa to 48.32 MPa. The experimental results are compared using …

The Relationship Between Ventilation Rates In Schools And The Indoor Airborne Transmission Potential Of Covid-19, Seamus Harrington, Mark Mulville, Spyros Stravoravdis

Articles

The requirement for natural ventilation strategies in classrooms to perform in respect to both their inherent and adaptive capacity is necessary to mitigate the risk of transmission associated with infectious airborne pathogens such as COVID-19. This paper assesses the performance of ten classrooms considering (a) the designed versus actual ventilation capacity; (b) the probability of airborne disease transmission by unit time resulting from calculated ventilation rates and (c) the reduction of transmission risk associated with mask wearing by all occupants.

Monitored air changes per hour (ACH) range from 0.26–1.7, demonstrating that none of the classrooms meet designed ventilation rate whilst …

An Investigation Of 3.5 Μm Emission In Er3+-Doped Fluorozirconate Glasses Under 638 Nm Laser Excitation, Haiyan Zhao, Ke Tian, Xin Wang, Dejun Liu, Shunbin Wang, Gerald Farrell, Pengfei Wang

Articles

Intense 3.5 μm mid-infrared emission has been achieved in Er3+-doped ZBYA glasses, which is ascribed to the Er3+: 4F9/2→4I9/2 transition. Based on the absorption spectrum of Er3+ ions, a 638 nm laser was utilized to directly pump the upper level (Er3+: 4F9/2) to achieve 3.5 μm emission with enhanced quantum efficiency. Spectroscopic parameters were predicted by Judd-Ofelt theory. The maximum emission cross-section of the Er3+-doped ZBYA glass was estimated to be 5.5×10-22 cm2 at 3496 nm. Additionally, the fluorescence spectra and energy level lifetimes of ZBYA glass samples with different Er3+ ions doping concentrations were also measured. The theoretical and …

Constructing A Fine Dispersion And Chemical Interface Based On An Electrostatic Self-Assembly And Aqueous Phase Compound In Go/Sio2/Sbr Composites To Achieve High-Wear Resistance In Eco-Friendly Green Tires, Rui Zhang, Jiaye Li, Stephen Jerrams, Shui Hu, Shipeng Wen, Ligun Zhang

Articles

The hazard to the ecosystem caused by rubber microparticles generated from tire abrasion has been a constant concern. Therefore, to protect this ecosystem, the development of a tire tread with high abrasion resistance is especially significant. Herein, γ-aminopropyltriethoxysilane (APTES) was used to modify graphene oxide (GO) and silica (SiO2) to obtain GO and SiO2 with positive charges (NG and NS). Furthermore, NG and NS were electrostatically self-assembled by using maleic anhydride (MAH) hydrolysis, thereby obtaining composite particles (NG-NS) with “bridged structures”. Also, the NG-NS/styrene butadiene rubber (SBR) compounds possessing fine dispersion of NG-NS were prepared by the aqueous compounding method. …

Surface Modification Of Carbonyl Iron Particles Using Dopamine And Silane Coupling Agent For High-Performance Magnetorheological Elastomers, Jiaqing Zhao, Dongliang Li, Baojie Sun, Liang Jiang, Yanfen Zhou, Shipeng Wen, Stephen Jerrams, Jianwei Ma, Shaojuan Chen

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Magnetorheological elastomers (MREs) are smart materials whose mechanical properties can quickly respond to changes in the external magnetic field. This phenomenon is known as the magnetorheological (MR) effect and is the key to the application of magnetorheological elastomers. Previous studies have found that the interface between magnetic particles and elastomers is a critical factor that influencing the MR effect of MREs. To improve the interfacial interaction between silicone rubber (SR) and carbonyl iron (CI) particles, in the MREs considered in this work, CI particles were subjected to surface modification through polydopamine (PDA) deposition and n-dodecyltrimethoxysilane (DTMS) grafting. X-ray photoelectron spectroscopy …

A Label-Free Fiber Ring Laser Biosensor For Ultrahigh Sensitivity Detection Of Salmonella Typhimurium, Shi Qiu, Bin Liu, Yuankui Leng, Edward Fox, Xian Zhou, Binbin Yan, Xinzhu Sang, Long Long, Xingdao He, Jinhui Yuan, Gerald Farrell, Qiang Wu

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The rapid detection of low concentrations of Salmonella Typhimurium (S. Typhimurium) is an essential preventive measure for food safety and prevention of foodborne illness. The study presented in this paper addresses this critical issue by proposing a single mode-tapered seven core-single mode (STSS) fiber ring laser (FRL) biosensor for S. Typhimurium detection. The experimental results show that the specific detection time of S. Typhimurium is less than 20 min and the wavelength shift can achieve -0.906 nm for an S. Typhimurium solution (10 cells/mL). Furthermore, at a lower concentration of 1 cell/mL applied to the biosensor, a result of -0.183 …

Guest Editorial: Building Performance And Sustainable Infrastructure: Unsustainable Return To Practice, Christopher Gorse, Colin Booth, Lloyd Scott

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The abrupt decline in global carbon emissions experienced during the pandemic was not sustainable. Overwhelmingly, this is evidenced by the advanced economies’ swift return to close to pre-pandemic levels and, of greater concern, the total global use of fossil fuels has rebounded to their highest level in history (IEA, 2021; Jackson et al., 2022). Unfortunately, post-pandemic, the anthropic life threating activities have resumed.

Swarm Electrification: A Comprehensive Literature Review, Stephen Sheridan, Keith Sunderland, Jane Courtney

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In the global North, the need to decarbonize power generation is well documented and the challenges faced are endemic to the design of the electrical grids. With networks relying on centralized generation, it can be difficult to replace fossil-fuel power plants with renewable energy sources as generation may be intermittent causing grid instability when there is no ‘spinning reserve’ [1]. In parts of the global south, however, many under-electrified nations have high levels of solar irradiance. This, combined with falling prices for solar panels, is allowing for alternative paths to electrification from costly grid extensions and has resulted in grids …

Extraction, Quantification, Characterization, And Application In Food Packaging Of Chitin And Chitosan From Mushrooms: A Review, Buliyaminu A. Alimi, Shivani Pathania, Jude Wilson, Brendan Duffy, Jesus Maria Frias

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The application of chitin in food systems is limited by its insolubility in some common solvents and poor degradability. Hence, it is deacetylated to obtain chitosan, an industrially important derivative with excellent biological properties. Fungal-sourced chitosan is gaining prominence and industrial attraction because of its superior functional and biological properties, and vegan appeal. Further, the absence of such compounds as tropomyosin, myosin light chain, and arginine kinase, which are known to trigger allergic reactions, gives it an edge over marine-sourced chitosan in food and pharmaceutical applications. Mushrooms are macro-fungi with a significant content of chitin, with many authors reporting the …

Understanding And Predicting Cognitive Improvement Of Young Adults In Ischemic Stroke Rehabilitation Therapy, Helard Becerra Martinez, Katryna Cisek, Alejandro Garcia-Rudolph, John Kelleher, Andrew Hines

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Accurate early predictions of a patient's likely cognitive improvement as a result of a stroke rehabilitation programme can assist clinicians in assembling more effective therapeutic programs. In addition, sufficient levels of explainability, which can justify these predictions, are a crucial requirement, as reported by clinicians. This article presents a machine learning (ML) prediction model targeting cognitive improvement after therapy for stroke surviving patients. The prediction model relies on electronic health records from 201 ischemic stroke surviving patients containing demographic information, cognitive assessments at admission from 24 different standardized neuropsychology tests (e.g., TMT, WAIS-III, Stroop, RAVLT, etc.), and therapy information collected …

Discovering Child Sexual Abuse Material Creators’ Behaviors And Preferences On The Dark Web, Vuong Ngo, Rahul Gajula, Christina Thorpe, Susan Mckeever

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Background: Producing, distributing or discussing child sexual abuse materials (CSAM) is often committed through the dark web in order to remain hidden from search engines and regular users. Additionally, on the dark web, the CSAM creators employ various techniques to avoid detection and conceal their activities. The large volume of CSAM on the dark web presents a global social problem and poses a significant challenge for helplines, hotlines and law enforcement agencies.

Objective: Identifying CSAM discussions on the dark web and uncovering associated metadata insights into characteristics, behaviours and motivation of CSAM creators.

Participants and Setting: We have conducted an …