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Articles 39181 - 39209 of 39209
Full-Text Articles in Entire DC Network
Incidence Of Diabetes After Sars-Cov-2 Infection In England And The Implications Of Covid-19 Vaccination: A Retrospective Cohort Study Of 16 Million People, Kurt Taylor, Sophie Eastwood, Venexia M. Walker, Genevieve Cezard, Rochelle Knight, Marwa Al Arab, Yinghui Wei, Elsie M.F. Horne, Lucy Teece, Harriet Forbes, Alex Walker, Louis Fisher, Jon Massey, Lisa Hopcraft, Tom Palmer, Jose Ignacio Cuitun Coronado, Samantha Ip, Simon Davy, Iain Dillingham, Caroline Morton, Felix Greaves, John Macleod, Ben Goldacre, Angela Wood, Nishi Chaturvedi, Jonathan A.C. Sterne, Rachel Denholm, The Opensafely Collaborative
Incidence Of Diabetes After Sars-Cov-2 Infection In England And The Implications Of Covid-19 Vaccination: A Retrospective Cohort Study Of 16 Million People, Kurt Taylor, Sophie Eastwood, Venexia M. Walker, Genevieve Cezard, Rochelle Knight, Marwa Al Arab, Yinghui Wei, Elsie M.F. Horne, Lucy Teece, Harriet Forbes, Alex Walker, Louis Fisher, Jon Massey, Lisa Hopcraft, Tom Palmer, Jose Ignacio Cuitun Coronado, Samantha Ip, Simon Davy, Iain Dillingham, Caroline Morton, Felix Greaves, John Macleod, Ben Goldacre, Angela Wood, Nishi Chaturvedi, Jonathan A.C. Sterne, Rachel Denholm, The Opensafely Collaborative
School of Engineering, Computing and Mathematics
Background: Some studies have shown that the incidence of type 2 diabetes increases after a diagnosis of COVID-19, although the evidence is not conclusive. However, the effects of the COVID-19 vaccine on this association, or the effect on other diabetes subtypes, are not clear. We aimed to investigate the association between COVID-19 and incidence of type 2, type 1, gestational and non-specific diabetes, and the effect of COVID- 19 vaccination, up to 52 weeks after diagnosis. Methods: In this retrospective cohort study, we investigated the diagnoses of incident diabetes following COVID-19 diagnosis in England in a pre-vaccination, vaccinated, and unvaccinated …
Insights From Co-Design Of Underwater Telepresence And Extended Reality Technologies With Digitally Excluded Older Adults, Oksana Hagen, Marius Varga, Rory Baxter, Ray Jones, Amir Aly, Dena Bazazian, Swen Gaudl, Alejandro Veliz Reyes
Insights From Co-Design Of Underwater Telepresence And Extended Reality Technologies With Digitally Excluded Older Adults, Oksana Hagen, Marius Varga, Rory Baxter, Ray Jones, Amir Aly, Dena Bazazian, Swen Gaudl, Alejandro Veliz Reyes
School of Engineering, Computing and Mathematics
The Intergenerational Co-design of Novel Technologies In Coastal Communities (ICONIC) project is running co-design workshops with older (50+) and younger people (16-30) to design technologies suitable for older people’s wellbeing. We aim to design four novel technologies in extended reality (XR), underwater telepresence (UT), social games and voice interaction. This late breaking report focuses on workshop results for the first two technologies. Ten workshops were held (August 23 - February 24) involving 24 older people and 12 younger people. Our co-design methods were demonstrably feasible although recruiting younger people is difficult. Nevertheless, the thematic and content analysis showed the importance …
Violent Breaking-Wave Impacts. Part 4: A Detailed Analysis And Comparison Of Field And 1:4 Scale Measurements On Sloping And Vertical Walls Including The Influence Of Air And Scale Effects, Geoffrey N. Bullock, Henrik Bredmose
Violent Breaking-Wave Impacts. Part 4: A Detailed Analysis And Comparison Of Field And 1:4 Scale Measurements On Sloping And Vertical Walls Including The Influence Of Air And Scale Effects, Geoffrey N. Bullock, Henrik Bredmose
School of Engineering, Computing and Mathematics
Pressure and aeration measurements obtained under storm conditions on the steep-fronted masonry wall of a rubble-mound breakwater are analysed in detail, and the results compared with those obtained using a 1:4 scale freshwater model of the field test site. New insights are gained into the complex behaviour of the most violent impacts, with particular attention given to aeration and scale effects. The existence in the field of both low-aeration (LA) and high-aeration (HA) impacts is confirmed and new parameters introduced to facilitate further analysis. Maximum pressures (Pmax) up to 771 kPa are categorised and the magnitudes of the …
Understanding Cyber-Risks In Complex Next-Generation Maritime Technologies: Autonomy And Offshore Wind Energy Operations, Kimberly Tam, Avanthika Vineetha Harish, Kevin Jones
Understanding Cyber-Risks In Complex Next-Generation Maritime Technologies: Autonomy And Offshore Wind Energy Operations, Kimberly Tam, Avanthika Vineetha Harish, Kevin Jones
School of Engineering, Computing and Mathematics
When developing maritime technology, each new technology is often developed and assessed separately. However, it is likely with the convergence of systems, and greater interconnectivity between systems in the sector, that new technologies will be inter-connected digitally or operationally. Understanding the cyber risks of the larger systems of systems is important. This paper looks at the potential cyber-physical risk of future autonomy and offshore renewable energy solutions co-existing together. A threat scenario is presented using real cyber-vulnerabilities in autonomy and offshore wind systems. This paper discusses potential overall vulnerabilities when combining these two emerging technologies. It concludes with suggested mitigations …
An Introduction To The Zakharov Equation For Modelling Deep Water Waves, Raphael Stuhlmeier
An Introduction To The Zakharov Equation For Modelling Deep Water Waves, Raphael Stuhlmeier
School of Engineering, Computing and Mathematics
No abstract provided.
Wave Energy Extraction From Rigid Rectangular Compound Floating Plates, S. Michele, S. Zheng, E. Renzi, J. Guichard, A. G.L. Borthwick, D. M. Greaves
Wave Energy Extraction From Rigid Rectangular Compound Floating Plates, S. Michele, S. Zheng, E. Renzi, J. Guichard, A. G.L. Borthwick, D. M. Greaves
School of Engineering, Computing and Mathematics
We present a theoretical model to analyse the hydrodynamics of wave energy converters (WECs) comprised of three-dimensional, rigid, floating, compound rectangular plates in the open sea. The hydrodynamic problem is solved by means of Green's theorem and a free-surface Green's function. Plate motion is predicted through decomposition into rigid natural modes. We first analyse the case of a single rectangular plate and validate our model against experimental results from physical model tests undertaken in the COAST laboratory at the University of Plymouth. Then we extend our theory to complex shapes and arrays of plates and examine how the geometry, incident …
Electrochemical Based Quantification Of Bacterial Growth In Media Using Square Wave Voltammetry And Low Cost Screen Printed Electrodes, Simon Peter Whelan, Shirin Naserikarimvand, Zari Tehrani, Martin Peacock, Owen Guy, David Gethin
Electrochemical Based Quantification Of Bacterial Growth In Media Using Square Wave Voltammetry And Low Cost Screen Printed Electrodes, Simon Peter Whelan, Shirin Naserikarimvand, Zari Tehrani, Martin Peacock, Owen Guy, David Gethin
School of Geography, Earth and Environmental Sciences
A novel method for determining the yield of bacterial growth using square wave voltammetry and screen printed electrodes is described here. This procedure was shown to be a reliable and accurate way to quickly determine the level of bacterial growth within culturing media and these results suggest that the combination of such sensors and the application of square wave voltammetry is suitable for applications such as within a bioreactor where the rapid determination of bacterial growth may be necessary.
Modelling Reservoir Sediment Flushing Through A Bottom Tunnel With An Initially Covered Intake, Yining Sun, Ji Li, Zhixian Cao, Jinxin Liu, Huan Xu, Alistair G.L. Borthwick
Modelling Reservoir Sediment Flushing Through A Bottom Tunnel With An Initially Covered Intake, Yining Sun, Ji Li, Zhixian Cao, Jinxin Liu, Huan Xu, Alistair G.L. Borthwick
School of Engineering, Computing and Mathematics
Sediment flushing through a bottom tunnel is one of the most effective methods to alleviate reservoir sedimentation. However, the multi-physical hydro-sediment-morphological processes of reservoir sediment flushing through an initially covered bottom tunnel intake have remained poorly understood, and a physically enhanced and practically viable mathematical model is required. The present study uses an integrated model to resolve sediment flushing through an initially covered bottom tunnel intake. The proposed model couples a two-dimensional double layer-averaged model for the reservoir with a one-dimensional model for the bottom tunnel by means of numerical fluxes calculations at the inner boundary. The governing equations are …
The Effect Of Breathing Hypoxic Gas (15% Fio2) On Physiological And Behavioral Outcomes During Simulated Driving In Healthy Subjects, Jaspreet Kaur, Lebbathana Manokaran, Michael Thynne, Mirza M.F. Subhan
The Effect Of Breathing Hypoxic Gas (15% Fio2) On Physiological And Behavioral Outcomes During Simulated Driving In Healthy Subjects, Jaspreet Kaur, Lebbathana Manokaran, Michael Thynne, Mirza M.F. Subhan
School of Biomedical Sciences
Hypoxia is mainly caused by cardiopulmonary disease or high-altitude exposure. We used a driving simulator to investigate whether breathing hypoxic gas influences driving behaviors in healthy subjects. Fifty-two healthy subjects were recruited in this study, approved by the Science and Engineering Ethical Committee. During simulated driving experiments, driving behaviors, breathing frequency, oxygen saturation (SpO 2 ), and heart rate variability (HRV) were analyzed. Each subject had four driving sessions; a 10-min practice and three 20-min randomized interventions: normoxic room air (21% FIO 2 ) and medical air (21% FIO 2 ) and hypoxic air (equal to 15% FIO 2 ), …
A Simple, Inexpensive Alkaline Method For Bacterial Dna Extraction From Environmental Samples For Pcr Surveillance And Microbiome Analyses, Abdulkarim Shwani, Bin Zuo, Adnan Alrubaye, Jiangchao Zhao, Douglas D. Rhoads
A Simple, Inexpensive Alkaline Method For Bacterial Dna Extraction From Environmental Samples For Pcr Surveillance And Microbiome Analyses, Abdulkarim Shwani, Bin Zuo, Adnan Alrubaye, Jiangchao Zhao, Douglas D. Rhoads
Poultry Science Faculty Publications and Presentations
DNA extraction for downstream molecular diagnostic applications can be an expensive, time-consuming process. We devised a method to quickly extract total bacterial DNA from environmental samples based on the sodium hydroxide lysis of cells with or without capture by magnetic beads for subsequent PCR or quantitative PCR. The final DNA extraction method using NaOH is extremely low-cost and can be completed in as little as 10 min at room temperature with dilution, or the DNA can be further purified using silica-coated paramagnetic beads. NaOH extraction was effective for Gram-negative and Gram-positive bacteria in samples from air, soil, sewage, food, laboratory …
Recent Advances In Surface Tailoring Of Thin Film Forward Osmosis Membranes: A Review, Javad Farahbakhsh, Mitra Golgoli, Mehdi Khiadani, Mohadeseh Najafi, Wafa Suwaileh, Amir Razmjou, Masoumeh Zargar
Recent Advances In Surface Tailoring Of Thin Film Forward Osmosis Membranes: A Review, Javad Farahbakhsh, Mitra Golgoli, Mehdi Khiadani, Mohadeseh Najafi, Wafa Suwaileh, Amir Razmjou, Masoumeh Zargar
Research outputs 2022 to 2026
The recent advancements in fabricating forward osmosis (FO) membranes have shown promising results in desalination and water treatment. Different methods have been applied to improve FO performance, such as using mixed or new draw solutions, enhancing the recovery of draw solutions, membrane modification, and developing FO-hybrid systems. However, reliable methods to address the current issues, including reverse salt flux, fouling, and antibacterial activities, are still in progress. In recent decades, surface modification has been applied to different membrane processes, including FO membranes. Introducing nanochannels, bioparticles, new monomers, and hydrophilic-based materials to the surface layer of FO membranes has significantly impacted …
Subjective Career Success Among New Graduates And The Role Of Personal Factors, Denise Jackson, Ruth Bridgstock, Claire Lambert, Matalena Tofa, Ruth Sibson
Subjective Career Success Among New Graduates And The Role Of Personal Factors, Denise Jackson, Ruth Bridgstock, Claire Lambert, Matalena Tofa, Ruth Sibson
Research outputs 2022 to 2026
Purpose: Flatter organisational structures and nonlinear career trajectories mean intrinsic value and subjective career success are increasingly important for motivating, guiding and rewarding contemporary workers. While objective measures of career success have been well explored, more research is needed to understand the dimensions of subjective career success, their relative importance to graduates and potential variations by personal factors. This is critical for supporting graduates’ transition into work and for organisations to attract and retain graduates amid global talent shortages. Design/methodology/approach: Building on assertions of the power to understand how what one seeks in a career affects career achievement, this study …
Board Ethical Commitment And Corporate Performace: A Qualitative Perspective, Ahmad Saiful Azlin Puteh Salin, Zubaidah Ismail, Malcolm Smith
Board Ethical Commitment And Corporate Performace: A Qualitative Perspective, Ahmad Saiful Azlin Puteh Salin, Zubaidah Ismail, Malcolm Smith
Research outputs 2022 to 2026
The purpose of the study is to explore the responsibilities of directors in creating a good ethical culture in their organisation and examine whether good ethical practices are able to enhance a company’s performance. To achieve this purpose, face-to-face semi-structured interviews with directors as the respondents are employed as a data collection method. This study found that board ethical commitments are necessary elements for sustaining the good performance of a company. The planning and monitoring of these ethical practices are the responsibilities of the board of directors, which then will be executed by top management, led by the chief executive …
Citizen Science Highlights Rare Behaviours By The Spotted Eagle Ray Aetobatus Ocellatus Kuhl 1823, Gonzalo Araujo, Rebecca Bateman-John, Jacinta L. Shackleton, Chris Garraway, Nigel Marsh, Daisy Whicheloe, Jade Rosadoni, Aimee Jan, Kohei Saito, Emily Lester
Citizen Science Highlights Rare Behaviours By The Spotted Eagle Ray Aetobatus Ocellatus Kuhl 1823, Gonzalo Araujo, Rebecca Bateman-John, Jacinta L. Shackleton, Chris Garraway, Nigel Marsh, Daisy Whicheloe, Jade Rosadoni, Aimee Jan, Kohei Saito, Emily Lester
Research outputs 2022 to 2026
No abstract provided.
Classification Of Vaginal Cleanliness Grades Through Surface-Enhanced Raman Spectral Analysis Via The Deep-Learning Variational Autoencoder: Long Short-Term Memory Model, Jia Wei Tang, Xin Ru Wen, Hui Min Chen, Jie Chen, Kun Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang
Classification Of Vaginal Cleanliness Grades Through Surface-Enhanced Raman Spectral Analysis Via The Deep-Learning Variational Autoencoder: Long Short-Term Memory Model, Jia Wei Tang, Xin Ru Wen, Hui Min Chen, Jie Chen, Kun Hui Hong, Quan Yuan, Muhammad Usman, Liang Wang
Research outputs 2022 to 2026
In this study, it is aimed to establish a novel method based on a deep-learning-guided surface-enhanced Raman spectroscopy (SERS) technique to achieve rapid and accurate classification of vaginal cleanliness levels. We proposed a variational autoencoder (VAE) approach to enhance spectral quality, coupled with a deep learning algorithm long short-term memory (LSTM) neural network to analyze SERS spectra produced by vaginal secretions. The performance of various machine learning (ML) algorithms is assessed using multiple evaluation metrics. Finally, the reliability of the optimal model is tested using blind test data (N = 10/group for each cleanliness level). The data quality of the …
Editorial: Rock Physics Of Unconventional Reservoirs: Volume Ii, Qiaomu Qi, Lidong Dai, Maxim Lebedev, Tobias Müller, Junfang Zhang
Editorial: Rock Physics Of Unconventional Reservoirs: Volume Ii, Qiaomu Qi, Lidong Dai, Maxim Lebedev, Tobias Müller, Junfang Zhang
Research outputs 2022 to 2026
No abstract provided.
Human-Empathy Accessibility Learning (Heal) Intervention Model Towards Critical Soft Skills Development For Career Readiness Among Computing Undergraduate Students, Jami Cotler, Eszter Kiss, Dmitry Burshteyn, Eben Afrifa-Yamoah
Human-Empathy Accessibility Learning (Heal) Intervention Model Towards Critical Soft Skills Development For Career Readiness Among Computing Undergraduate Students, Jami Cotler, Eszter Kiss, Dmitry Burshteyn, Eben Afrifa-Yamoah
Research outputs 2022 to 2026
This pilot mixed methods study explores the impact of Human-Empathy Accessibility Learning (HEAL) interventions on soft skills development in undergraduate computing students, emphasizing their role in job readiness and perceived employability. HEAL interventions aimed to enhance accessibility awareness, focusing on motivation, empathy, and emotional intelligence. Participants were assigned to control and experiment groups, with qualitative findings showing empathetic growth in the experiment group. Quantitative results partially supported qualitative findings, indicating statistically significant changes across measures. Despite quantitative limitations, short-term empathy interventions showed potential benefits for job readiness. The study discusses implications of mixed findings and recommends future research directions.
Irs-Enabled Noma Communication Systems: A Network Architecture Primer With Future Trends And Challenges, Haleema Sadia, Ahmad Kamal Hassan, Ziaul Haq Abbas, Ghulam Abbas, Muhammad Waqas, Zhu Han
Irs-Enabled Noma Communication Systems: A Network Architecture Primer With Future Trends And Challenges, Haleema Sadia, Ahmad Kamal Hassan, Ziaul Haq Abbas, Ghulam Abbas, Muhammad Waqas, Zhu Han
Research outputs 2022 to 2026
Non-Orthogonal Multiple Access (NOMA) has already proven to be an effective multiple access scheme for 5th Generation (5G) wireless networks. It provides improved performance in terms of system throughput, spectral efficiency, fairness, and energy efficiency (EE). However, in conventional NOMA networks, performance degradation still exists because of the stochastic behavior of wireless channels. To combat this challenge, the concept of Intelligent Reflecting Surface (IRS) has risen to prominence as a low-cost intelligent solution for Beyond 5G (B5G) networks. In this paper, a modeling primer based on the integration of these two cutting-edge technologies, i.e., IRS and NOMA, for B5G wireless …
Variations In The Germinal Center Response Revealed By Genetically Diverse Mouse Strains, Anne Marie Aubin, Daria Vdovenko, Roxanne Collin, Lois Balmer, Lise Coderre, Grant Morahan, Félix Lombard-Vadnais, Sylvie Lesage
Variations In The Germinal Center Response Revealed By Genetically Diverse Mouse Strains, Anne Marie Aubin, Daria Vdovenko, Roxanne Collin, Lois Balmer, Lise Coderre, Grant Morahan, Félix Lombard-Vadnais, Sylvie Lesage
Research outputs 2022 to 2026
The humoral response is complex and involves multiple cellular populations and signaling pathways. Bacterial and viral infections, as well as immunization regimens, can trigger this type of response, promoting the formation of microanatomical cellular structures called germinal centers (GCs). GCs formed in secondary lymphoid organs support the differentiation of high-affinity plasma cells and memory B cells. There is growing evidence that the quality of the humoral response is influenced by genetic variants. Using 12 genetically divergent mouse strains, we assessed the impact of genetics on GC cellular traits. At steady state, in the spleen, lymph nodes and Peyer's patches, we …
Ai-Analyst: An Ai-Assisted Sdlc Analysis Framework For Business Cost Optimization, Nuruzzaman Faruqui, Priyabrata Thatoi, Rohit Choudhary, Ivana Roncevic, Hamed Alqahtani, Iqbal H. Sarker, Shapla Khanam
Ai-Analyst: An Ai-Assisted Sdlc Analysis Framework For Business Cost Optimization, Nuruzzaman Faruqui, Priyabrata Thatoi, Rohit Choudhary, Ivana Roncevic, Hamed Alqahtani, Iqbal H. Sarker, Shapla Khanam
Research outputs 2022 to 2026
Managing the System Development Lifecycle (SDLC) is a complex task because of its involvement in coordinating diverse activities, stakeholders, and resources while ensuring project goals are met efficiently. The complex nature of the SDLC process leaves plenty of scope for human error, which impacts the overall business cost. This paper introduces AI-Analyst, an AI-assisted framework developed using the transformer-based model with more than 150 million parameters to assist with SDLC management. It minimizes manual effort errors, optimizes resource allocation, and improves decision-making processes, resulting in substantial cost savings. The statistical analysis shows that it saves around 53.33% of costs in …
Effective Land Use Classification Through Hybrid Transformer Using Remote Sensing Imagery, Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, Anwaar Ulhaq, David Blake, Naeem Janjua
Effective Land Use Classification Through Hybrid Transformer Using Remote Sensing Imagery, Muhammad Zia Ur Rehman, Syed Mohammed Shamsul Islam, Anwaar Ulhaq, David Blake, Naeem Janjua
Research outputs 2022 to 2026
Recent advances in deep learning for hyperspectral image (HSI) classification have shown exceptional performance in resource management and environmental planning through land use classification. Despite these successes, challenges continue to persist in land use classification due to the complex topology of natural and man-made structures. The uneven distribution of land cover introduces spectral-spatial variability, causing inter- and intra-class similarity. To address this issue, this study adopts a hybrid approach that combines convolutional neural networks (CNNs) and a transformer model. The technique comprises three key components: a spectral-spatial convolutional module (SSCM), a spatial attention module (SAM), and a transformer module. Each …
Identifying And Filling Critical Knowledge Gaps Can Optimize Financial Viability Of Blue Carbon Projects In Tidal Wetlands, Tim J.B. Carruthers, S. Beaux Jones, Megan K. Terrell, Jonathan F. Scheibly, Brendan J. Player, Valerie A. Black, Justin R. Ehrenwerth, Patrick D. Biber, Rod M. Connolly, Steve Crooks, Jason P. Curole, Kelly M. Darnell, Alyssa M. Dausman, Allison L. Dejong, Shawn M. Doyle, Christopher R. Esposito, Daniel A. Friess, James W. Fourqurean, Ioannis Y. Georgiou, Gabriel D. Grimsditch, Songjie He, Eva R. Hillmann, Guerry O. Holm, Jennifer Howard, Hoonshin Jung, Stacy D. Jupiter, Paul S. Lavery
Identifying And Filling Critical Knowledge Gaps Can Optimize Financial Viability Of Blue Carbon Projects In Tidal Wetlands, Tim J.B. Carruthers, S. Beaux Jones, Megan K. Terrell, Jonathan F. Scheibly, Brendan J. Player, Valerie A. Black, Justin R. Ehrenwerth, Patrick D. Biber, Rod M. Connolly, Steve Crooks, Jason P. Curole, Kelly M. Darnell, Alyssa M. Dausman, Allison L. Dejong, Shawn M. Doyle, Christopher R. Esposito, Daniel A. Friess, James W. Fourqurean, Ioannis Y. Georgiou, Gabriel D. Grimsditch, Songjie He, Eva R. Hillmann, Guerry O. Holm, Jennifer Howard, Hoonshin Jung, Stacy D. Jupiter, Paul S. Lavery
Research outputs 2022 to 2026
One of the world’s largest “blue carbon” ecosystems, Louisiana’s tidal wetlands on the US Gulf of Mexico coast, is rapidly being lost. Louisiana’s strong legal, regulatory, and monitoring framework, developed for one of the world’s largest tidal wetland systems, provides an opportunity for a programmatic approach to blue carbon accreditation to support restoration of these ecologically and economically important tidal wetlands. Louisiana’s coastal wetlands span ∼1.4 million ha and accumulate 5.5–7.3 Tg yr−1 of blue carbon (organic carbon), ∼6%–8% of tidal marsh blue carbon accumulation globally. Louisiana has a favorable governance framework to advance blue carbon accreditation, due to centralized …
Optimal Operation Of An Islanded Hybrid Energy System Integrating Power And Gas Systems, Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Asma Aziz
Optimal Operation Of An Islanded Hybrid Energy System Integrating Power And Gas Systems, Mehrdad Ghahramani, Daryoush Habibi, Seyyedmorteza Ghamari, Asma Aziz
Research outputs 2022 to 2026
Remote communities and geographically isolated areas require a secure supply of energy. Isolated hybrid energy systems offer an effective and reliable solution for delivering power to these regions. However, shifting to renewable energy sources introduces uncertainty challenges for low-inertia stand-alone systems. In this paper, we propose a two-stage energy management strategy to address the uncertainties of wind generation and load consumption while minimizing operational expenses. Furthermore, the study explores the integration of multi-carrier energy networks, in this case electricity and gas, to enhance the reliability of hybrid energy systems. Two modeling methods are proposed to tackle the uncertainties. First, a …
Performance Measurement In A Custom Production Process Model Using The Process Mining Approach: A Systematic Literature Review, Wawa Wikusna, Mustafid, Ferry Jie
Performance Measurement In A Custom Production Process Model Using The Process Mining Approach: A Systematic Literature Review, Wawa Wikusna, Mustafid, Ferry Jie
Research outputs 2022 to 2026
This study aims to explore and develop a method for measuring supply chain performance influenced by customer demand in custom product production. The research method used is a systematic literature review, focusing on measuring key indicators and evaluating supply chain performance. This study highlights the importance of Key Performance Indicators (KPIs) as an evaluation tool, which helps make decisions more effective and efficient in the supply chain. By using the Supply Chain Operation Reference (SCOR) model supported by the Analytic Hierarchy Process (AHP) and the normalization of the Snorm De Boer Score, this study shows a systematic measurement process from …
Characterizing The Extent And Nature Of Digital Food And Beverage Marketing In Singapore – A Descriptive Study, Xin Hui Chua, Clare Whitton, Stefanie Vandevijvere, Bridget Kelly, Rob M. Van Dam, Salome A. Rebello
Characterizing The Extent And Nature Of Digital Food And Beverage Marketing In Singapore – A Descriptive Study, Xin Hui Chua, Clare Whitton, Stefanie Vandevijvere, Bridget Kelly, Rob M. Van Dam, Salome A. Rebello
Research outputs 2022 to 2026
Objective: To characterize the nature of digital food and beverage advertising in Singapore Setting: Food and beverage advertisements within 20 clicks on top 12 non-food websites and all posts on Facebook and Instagram pages of 15 major food companies in Singapore were sampled from January 1 to June 30, 2018. Design: Advertised foods were classified as being core (healthier), non-core or mixed-dishes (example burger) using the WHO nutrient profile model and national guidelines. Marketing techniques were assessed using published coding frameworks. Participants: NA Results: Advertisements (n=117) on the 12 non-food websites were largely presented as editorial content. Food companies posted …
Hydrogen Adsorption Kinetics In Organic-Rich Shale Reservoir Rocks For Seasonal Geological Storage, Amer Alanazi, Hussein Rasool Abid, Israa S. Abu-Mahfouz, Saleh A. Bawazeer, Tawanda Matamba, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit
Hydrogen Adsorption Kinetics In Organic-Rich Shale Reservoir Rocks For Seasonal Geological Storage, Amer Alanazi, Hussein Rasool Abid, Israa S. Abu-Mahfouz, Saleh A. Bawazeer, Tawanda Matamba, Alireza Keshavarz, Stefan Iglauer, Hussein Hoteit
Research outputs 2022 to 2026
The geo-storage of hydrogen (H2) is essential for advancing a robust and industrial-scale H2-based economy. The efficient H2 storage in a geological formation depends on the presence of a secure and impermeable caprock, such as a shale formation. However, the existing literature lacks information on the kinetics of H2 adsorption in actual shale formations with diverse organic contents and mineral compositions. Therefore, the kinetics of H2 adsorption in organic-rich shale samples from a Jordanian oil (JO) source rock formation are experimentally investigated herein at various temperatures (193, 273, 303, and 333 K) and two equilibrium pressures (15 and 45 bar) …
Love Bites? Pre-Copulatory Behaviours Of Whale Sharks (Rhincodon Typus) At Ningaloo Reef, Western Australia, Christine Barry, Emily Lester, Micheal P. Doane, Luciana C. Ferreira, Michele Thums, Adrian C. Gleiss, Mark G. Meekan
Love Bites? Pre-Copulatory Behaviours Of Whale Sharks (Rhincodon Typus) At Ningaloo Reef, Western Australia, Christine Barry, Emily Lester, Micheal P. Doane, Luciana C. Ferreira, Michele Thums, Adrian C. Gleiss, Mark G. Meekan
Research outputs 2022 to 2026
Very little is known about the reproductive behaviours of whale sharks (Rhincodon typus). Here, we describe field observations of courtship behaviour by a whale shark at Ningaloo Reef, Western Australia. We witnessed and recorded following and biting behaviours by a sexually mature male of a smaller female. Following and biting are common events during courtship and copulation of other species of elasmobranchs. Our observations are consistent with earlier reports of courting behaviours in whale sharks provided by fishers, the pilot of a light plane and observations of courtship by a sexually mature male towards females held in aquaria.
Digital Technologies For Environmental Sustainability, Raimundo Macêdo, Marcelo Pias, Liwan Liyanage, David M. Cook, Yuko Murayama, Otthein Herzog, Gülgün Kayakutlu, David Kreps
Digital Technologies For Environmental Sustainability, Raimundo Macêdo, Marcelo Pias, Liwan Liyanage, David M. Cook, Yuko Murayama, Otthein Herzog, Gülgün Kayakutlu, David Kreps
Research outputs 2022 to 2026
Recognizing the immense challenges posed by climate change and aligning with the UN Sustainable Development Goals (SDGs), particularly SDG 13, which focuses on climate action, the International Federation for Information Processing (IFIP) established the Digital Technology and Climate Change Task Force in December 2022. The Task Force aims to identify opportunities to leverage digital technologies effectively in combating climate change and to provide recommendations for professionals and relevant institutions. Since its inception, the Task Force has met regularly. After conducting a scoping exercise and defining a taxonomy, a comprehensive questionnaire was distributed twice among IFIP stakeholders, namely, technical committees and …
Secondary Mathematics Teachers’ Mathematical Competence, Vesife Hatisaru, Julia Collins, Steven Richardson, Constantine Lozanovski
Secondary Mathematics Teachers’ Mathematical Competence, Vesife Hatisaru, Julia Collins, Steven Richardson, Constantine Lozanovski
Research outputs 2022 to 2026
Whilst educational goals in recent years for mathematics education are foregrounded the development of mathematical competencies, little is known about mathematics teachers’ competencies. In this study, a group of practising teachers were asked to solve an algebra problem, and their solutions were analysed to determine the competencies apparent (or, equally importantly, absent) in these solutions. The most demonstrated competencies were devising strategies and mathematising, whilst communication and reasoning were mostly missed. The research provides a detailed methodology on how mathematical competencies can be assessed in the context of problem solving.