Digital Commons Network^™

A Bayesian Piecewise Exponential Phase Ii Design For Monitoring A Time-To-Event Endpoint, Yun Qing, Peter F Thall, Ying Yuan

Faculty, Staff and Student Publications

A robust Bayesian design is presented for a single-arm phase II trial with an early stopping rule to monitor a time to event endpoint. The assumed model is a piecewise exponential distribution with non-informative gamma priors on the hazard parameters in subintervals of a fixed follow up interval. As an additional comparator, we also define and evaluate a version of the design based on an assumed Weibull distribution. Except for the assumed models, the piecewise exponential and Weibull model based designs are identical to an established design that assumes an exponential event time distribution with an inverse gamma prior on …

Quantifying The Potential Health Impacts Of Unvented Combustion In Homes – A Meta- Analysis, P. Jacob Bueno De Mesquita, Nuria Casquero-Modrego, Iain Walker, Brennan D. Less, Brett C. Singer

Arts & Sciences Faculty Publications

While a growing body of scientific literature describes the population health impacts of fossil fuel production and burning via climate and air pollution pathways, less is known about the health impacts of indoor combustion. This paper summarizes the results of studies from the last two decades that investigated the association between exposure to sources of unvented combustion pollutants in homes and a range of health outcomes. We found gas combustion to be associated with 6-28% (95% confidence intervals) increased odds of asthma symptoms, 4-51% increased odds of systemic symptoms, 7-81% increased odds of asthma medication use, and 3-12% increased risk …

Far-Uvc: Technology Update With An Untapped Potential To Mitigate Airborne Infections, P. Jacob Bueno De Mesquita, Rosemary K. Sokas, Mary B. Rice, Edward A. Nardell

Arts & Sciences Faculty Publications

No abstract provided.

Taste And Smell Abnormalities In Advanced Cancer: Negative Impact On Subjective Food Intake, Aidan O'Donoghue, Michelle Barrett, Pauline Uí Dhuibhir Pauline Uí Dhuibhir, Aileen Kennedy, Norma O'Leary, Declan Walshe

Articles

Background: Taste and smell abnormalities (TSAs) are present in all cancer stages and may contribute to malnutrition. Despite this, they are rarely screened for. This study examined the prevalence and characteristics of TSAs and their influence on subjective food intake in advanced cancer. Methods: Consecutive patients with advanced cancer were recruited. A modified Taste and Smell Survey assessed subjective TSAs. Objective TSAs were assessed with validated taste strips and "Sniffin Sticks." A six-item food intake questionnaire identified any effect TSAs had on food preferences/aversions. Nutrition status was evaluated with the abridged Patient-Generated Subjective Global Assessment. Results: All 30 participants had …

Assessment Of The Environmental Impact Of Food Consumption In Ireland-Informing A Transition To Sustainable Diets, Laura B Kirwan, Janette Walton, Albert Flynn, Anne P. Nugent, John Kearney, Nicholas M. Holden, Breige A. Mcnulty

Articles

Dietary changes are required to mitigate the climatic impact of food consumption. Food consumption databases can support the development of sustainable food based dietary guidelines (SFBDG) when linked to environmental indicators. An improved knowledge base is crucial to the transition to sustainable diets, and multiple environmental indicators should be considered to ensure this transition is evidence based and accounts for trade-offs. The current study aimed to quantify the environmental impact of daily diets across population groups in Ireland. Nationally representative food consumption surveys for Irish children (NCFSII; 2017-2018), teenagers (NTFSII; 2019-2020), and adults (NANS; 2008-2010) were used in this analysis. …

Energy Metabolism, Metabolite, And Inflammatory Profiles In Human Ex Vivo Adipose Tissue Are Influenced By Obesity Status, Metabolic Dysfunction, And Treatment Regimes In Patients With Oesophageal Adenocarcinoma, Fiona O'Connell, Eimear Mylod, Noel E. Donlon, Aisling B. Heeran, Christine Butler, Anshul Bhardwaj, Sinead Ramjit, Michael Durand, Gerard Lambe, Paul Tansey, Ivan Welartne, Kevin P. Sheahan, Xiaofei Yin, Claire L. Donohoe, Narayanasamy Ravi

Articles

Oesophageal adenocarcinoma (OAC) is a poor prognosis cancer with limited response rates to current treatment modalities and has a strong link to obesity. To better elucidate the role of visceral adiposity in this disease state, a full metabolic profile combined with analysis of secreted pro-inflammatory cytokines, metabolites, and lipid profiles were assessed in human ex vivo adipose tissue explants from obese and non-obese OAC patients. These data were then related to extensive clinical data including obesity status, metabolic dysfunction, previous treatment exposure, and tumour regression grades. Real-time energy metabolism profiles were assessed using the seahorse technology. Adipose explant conditioned media …

Food And Nutrient Intakes And Compliance With Recommendations In School-Aged Children In Ireland: Findings From The National Children’S Food Survey Ii (2017–2018) And Changes Since 2003–2004., Laura Kehoe, Maria Breffini, Breige A. Mcnulty, John Kearney, Albert Flynn, Janet Walton

Articles

The childhood years represent a period of increased nutrient requirements during which a balanced diet is important to ensure optimal growth and development. The aim of this study was to examine food and nutrient intakes and compliance with recommendations in school-aged children in Ireland and to examine changes over time. Analyses were based on two National Children's Food Surveys; NCFS (2003-2004) (n 594) and NCFS II (2017-2018) (n 600) which estimated food and nutrient intakes in nationally representative samples of children (5-12 years) using weighed food records (NCFS: 7-d; NCFS II: 4-d). This study found that nutrient intakes among school-aged …

Hospital Outcomes In Patients Hospitalized For Covid-19 Pneumonia: The Effect Of Sars-Cov-2 Vaccination And Vitamin D Status, Martyna Sanecka, Modar Youssef, Mohammad Abdulsalam, Syed F. Raza, Abdul Qadeer, Julia Ioana, Alya Aldoresi, Syed I. Shah, Abdul Al Lawati, Joseph Feely, William P. Tormey, Eoghan O'Neill, Liam J. Cormican, Eoin P. Judge, Daniel Mccartney, John L. Faul

Articles

SARS-CoV-2 vaccination promises to improve outcomes for patients with COVID-19 pneumonia (most notably those with advanced age and at high risk for severe disease). Here, we examine serum 25-Hydroxyvitamin D (25(OH)D) status and outcomes in both old (>70 years) and young vaccinated (n = 80) and unvaccinated (n = 91) subjects, who were hospitalized due to COVID- 19 pneumonia in a single center (Connolly Hospital Dublin). Outcomes included ICU admission and mortality. Serum 25(OH)D levels were categorized as D30 (/L), D40 (30–49.99 nmol/L) and D50 (50 nmol/L). In multivariate analyses, D30 was independently associated with ICU admission (OR: 6.87 …

An Analysis Of Jade2 In Non-Small Cell Lung Cancer (Nsclc), Ciara Murphy, Gloria Gornes Pons, Anna Keogh, Lisa Ryan, Lorraine Mccarra, Chris Maria Jose, Shagun Kesar, Siobhan Nicholson, Gerard J. Fitzmaurice, Ronan Ryan, Vincent Young, Sinead Cuffe, Stephen P. Finn, Steven Gray

Articles

The JADE family comprises three members encoded by individual genes and roles for these proteins have been identified in chromatin remodeling, cell cycle progression, cell regeneration and the DNA damage response. JADE family members, and in particular JADE2 have not been studied in any great detail in cancer. Using a series of standard biological and bioinformatics approaches we investigated JADE2 expression in surgically resected non-small cell lung cancer (NSCLC) for both mRNA and protein to examine for correlations between JADE2 expression and overall survival. Additional correlations were identified using bioinformatic analyses on multiple online datasets. Our analysis demonstrates that JADE2 …

Expandable Intravertebral Implants In Post-Traumatic Vertebral Necrosis - New Classification Suggestion., Diogo Lino Moura, Josué Pereira Gabriel

Trauma and Acute Care Articles

The progressive evolution of post-traumatic vertebral necrosis and consequent loss of structural integrity of the vertebral body along with neurological risk, makes it one of the most feared and unpredictable pathologies in spine traumatology. Several studies have addressed the role of vertebroplasty, kyphoplasty, and corpectomy in its treatment; however, it remains a controversial concept without a defined therapeutic algorithm. The recent emergence of expandable intravertebral implants, which allow, by a percutaneous transpedicular application, the capacity for intrasomatic filling and maintenance of the height of the vertebral body, makes them a viable option, not only in the treatment of acute vertebral …

Illinois State University Annuitants Association Newsletter, Winter 2023, Illinois State University, Annuitants Association

ISUAA News

Illinois State University Annuitants Association newsletter

Organization Of Sensorimotor Activity In Anterior Cruciate Ligament Reconstructed Individuals: An Fmri Conjunction Analysis., Amber J Schnittjer, Howon Kim, Adam S Lepley, James A Onate, Cody R Criss, Janet E Simon, Dustin R Grooms

Neuroscience Articles

INTRODUCTION: Anterior cruciate ligament reconstruction (ACLR) is characterized by persistent involved limb functional deficits that persist for years despite rehabilitation. Previous research provides evidence of both peripheral and central nervous system adaptations following ACLR. However, no study has compared functional organization of the brain for involved limb motor control relative to the uninvolved limb and healthy controls. The purpose of this study was to examine sensorimotor cortex and cerebellar functional activity overlap and non-overlap during a knee motor control task between groups (ACLR and control), and to determine cortical organization of involved and uninvolved limb movement between groups.

METHODS: Eighteen …

Prediction And Root-Cause Analysis For Smart Speaker Intentional Electromagnetic Interference Attacks, Tanner Fokkens

Masters Theses

"Smart home and Internet of Things (IoT) devices have become ubiquitous in homes over the past decade. The smart speaker itself is often the device that interfaces all these devices together. Because of this, the smart speaker can become a point of attack for someone trying to exploit or hack into the smart home devices. In the past few years, it was discovered that smart speakers with microwave electromechanical system (MEMS) microphones are susceptible to intentional electromagnetic interference (I-EMI) attacks by modulating an audio command to a high-frequency carrier signal. This attack allows for command recognition for long-distances and smart …

Development And Evaluation Of A Multifrequency Ultrafast Doppler Spectral Analysis (Mfudsa) Algorithm For Wall Shear Stress Measurement: A Simulation And In Vitro Study, Andrew Malone, Sean Cournane, Izabela Naydenova, James F. Meaney, Andrew J. Fagan, Jacinta Browne

Articles

Cardiovascular pathology is the leading cause of death and disability in the Western world, and current diagnostic testing usually evaluates the anatomy of the vessel to determine if the vessel contains blockages and plaques. However, there is a growing school of thought that other measures, such as wall shear stress, provide more useful information for earlier diagnosis and prediction of atherosclerotic related disease compared to pulsed-wave Doppler ultrasound, magnetic resonance angiography, or computed tomography angiography. A novel algorithm for quantifying wall shear stress (WSS) in atherosclerotic plaque using diagnostic ultrasound imaging, called Multifrequency ultrafast Doppler spectral analysis (MFUDSA), is presented. …

Analog Holographic Wavefront Sensor For Defocus And Spherical Aberration Measurement Recorded In A Photopolymer, Emma Branigan, Suzanne Martin, Matthew Sheehan, Kevin Murphy

Articles

An analog holographic wavefront sensor (AHWFS), for measurement of low and high order (defocus and spherical aberration) aberration modes has been developed as volume phase holograms in a photopolymer recording medium. This is the first time that high order aberrations such as spherical aberration can be sensed using a volume hologram in a photosensitive medium. Both defocus and spherical aberration were recorded in a multi-mode version of this AHWFS. Refractive elements were used to generate a maximum and minimum phase delay of each aberration which were multiplexed as a set of volume phase holograms in an acrylamide based-photopolymer layer. The …

Improving The Angular Visibility Of Photopolymer-Based Reflection Holograms For Sensing Applications, Tatsiana Mikulchyk, Kevin Murphy, John Walsh, Suzanne Martin, Dervil Cody, Izabela Naydenova

Articles

Volume reflection hologram-based sensors are designed to visibly change colour in response to a target stressor or analyte. However, reflection holograms fabricated in thick photopolymer films are highly angularly selective, making these sensors challenging to view and interpret by non-experts. Here, the use of speckle holography to improve the visibility of reflection holograms is presented. A novel recording approach combining speckle recording techniques with Denisyuk reflection recording geometry is described. The recorded speckle reflection grating operates as a series of multiplexed reflection gratings with a range of spatial frequencies, capable of reflecting light at a wider range of angles. A …

Prevalence Of Refractive Errors In Nepalese Children And Adults: A Systematic Review With Meta-Analysis, Jeewanand Bist, Himal Kandel, Nabin Paudel, Dinesh Kaphled, Rajendra Gyawali, Sanjay Marasini, Rabindra Adhikaryg, Prakash Paudel

Articles

Clinical relevance: Country-specific estimates of the prevalence of refractive errors are important to formulate national eye health policies for refractive care services. Background: The purpose of this study was to systematically synthesise available literature and estimate the prevalence of refractive errors in the Nepalese population. Methods: PubMed, Scopus, and Web of Science databases were systematically searched for articles on refractive errors and presbyopia published in English language until 27 September 2022. Population and school-based quantitative, cross-sectional prevalence studies and Rapid Assessment of Avoidable Blindness survey repository data were included. The quality of the included studies was assessed using the Newcastle …

Choroidal Thickness Profiles And Associated Factors In Myopic Children, Emmnuel Kobia Acquah, Daniel Ian Flitcroft, Gareth Lingham, Nabin Paudel, James Loughman

Articles

SIGNIFICANCE: This study addresses the lack of choroidal thickness (ChT) profile information available in European children and provides a baseline for further evaluation of longitudinal changes in ChT profiles in myopic children as a potential biomarker for myopia treatment and identifying children at risk of myopic progression.

PURPOSE: This study aimed to investigate ChT profiles and associated factors in myopic children.

METHODS: Baseline data of 250 myopic children aged 6 to 16 years in the Myopia Outcome Study of Atropine in Children clinical trial were analyzed. Choroidal thickness images were obtained using swept-source optical coherence tomography (DRI-OCT Triton Plus; Topcon …

Tfos Lifestyle: Impact Of The Digital Environment On The Ocular Surface, James S. Wolffsohn, Gareth Lingham, Laura E. Downie, Bykie Huntjens, Takenori Inomata, Saleel Jivraj, Emmanuel Kobia-Acquah, Alex Muntz, Karim Mohamed-Noriega, Sotiris Plainis, Michael Read, Rony R. Sayegh, Sumeer Singh, Tor P. Utheim, Jennifer P. Craig

Articles

Eye strain when performing tasks reliant on a digital environment can cause discomfort, affecting productivity and quality of life. Digital eye strain (the preferred terminology) was defined as “the development or exacerbation of recurrent ocular symptoms and/or signs related specifically to digital device screen viewing”. Digital eye strain prevalence of up to 97% has been reported, due to no previously agreed definition/diagnostic criteria and limitations of current questionnaires which fail to differentiate such symptoms from those arising from nondigital tasks. Objective signs such as blink rate or critical flicker frequency changes are not ‘diagnostic’ of digital eye strain nor validated …

Strabismus And Amblyopia In Africa – A Systematic Review And Meta-Analysis, Prince Kwaku Akowuah, Samuel Adade, Andrews Nartey, Ebenezer Owusu, Richard Donkor, Stephen Ankamah-Lomotey

Articles

The objective of this review was to estimate the prevalence of strabismus and amblyopia in Africa. A systematic online literature search was conducted for articles on strabismus and amblyopia in Africa. Meta-analysis was performed, using the Freeman-Tukey double arcsine transformation, to estimate the prevalence of strabismus and amblyopia in Africa. Subgroup analyses were conducted according to age, gender, study year, and type of amblyopia. Meta-regression was used to evaluate the influence of predetermined factors on the prevalence of amblyopia. 8 (1 population-based & 7 school-based) and 21 (3 population-based & 18 school-based) studies on strabismus and amblyopia with sample sizes …

Subfoveal Choroidal Imaging In High Myopic Nepalese Cohort, Parash Gyawali, Ashutosh Jnawali, Anish Kharal, Manish Subedi, Sandeep Kandel, Prajjol Raj Puri, Nabin Paudel

Articles

Current image captioning models produce fluent captions, but they rely on a one-size-fits-all approach that does not take into account the preferences of individual end-users. We present a method to generate descriptions with an adjustable amount of content that can be set at inference-time, thus providing a step toward a more user centered approach to image captioning.

Effects Of Flexibility In Coarse-Grained Models For Bovine Serum Albumin And Immunoglobulin G, Frank Hirschmann, Hender Lopez, Felix Roosen-Runge, Tilo Seydel, Frank Schreiber, Martin Oettel

Articles

We construct a coarse-grained, structure-based, low-resolution, 6-bead flexible model of bovine serum albumin (BSA, PDB: 4F5S), which is a popular example of a globular protein in biophysical research. The model is obtained via direct Boltzmann inversion using all-atom simulations of a single molecule, and its particular form is selected from a large pool of 6-bead coarse-grained models using two suitable metrics that quantify the agreement in the distribution of collective coordinates between all-atom and coarse-grained Brownian dynamics simulations of solutions in the dilute limit. For immunoglobulin G (IgG), a similar structure-based 12-bead model has been introduced in the literature [Chaudhri …

Use Of Machine Learning Methods In Automatic Assessment Programming Assignments, Botond Tarcsay

Masters

Programming has become an important skill in today’s world and is taught widely both in traditional settings and online. Instructors need to assess increasing amounts of student work. Unit testing can contribute to the automation of the grading process; however, it cannot assess the structures, style and partially correct source code or differentiate between levels of achievement. The topic of this thesis is an investigation into the use of machine learning methods for assessing the correctness and quality of code, with the ultimate goal of assisting instructors in the grading process. In this research, we have used nine different machine …

A Novel Unidirectional Smart Charging Management Algorithm For Electric Buses, Nicolae Darii, Roberto Turri, Keith Sunderland, Fabio Bignucolo

Articles

The difficulty of controlling the charging of electric buses (EBs) and their effects on network demand are discussed in this study. The solutions suggest a call for worldwide, complex infrastructures that manage EVs and EBs equally. Additionally, the Distribution Network (DN) must be prepared for an increased prevalence of reverse power flow caused by widespread distributed renewable generation. This paper focuses exclusively on EBs since they have higher capacity and predictable charging patterns, which makes them more significant for the DN in the context of a transition to complete vehicle electrification and technologies that are mature enough to be hosted. …

Embedded Ai For Wheat Yellow Rust Infection Type Classification, Uferah Shafi, Rafia Mumtaz, Muhammad Deedahwar Mazhar Qureshi, Zahid Mahmood, Sikander Khan Tanveer, Ihsan Ul Haq, Syed Mohammad Hassan Zaidi

Articles

Wheat is the most important and dominating crop in Pakistan in terms of production and acreage, which is grown on 37% of the cultivated area, accounting for 70% of the total production. However, wheat yield is highly affected by stripe rust, which is considered the most devastating fungal disease, causing 5.5 million tonnes of loss per year globally. In order to minimize this loss, the accurate and timely detection of rust disease is crucial instead of manual inspection. Towards this end, we propose a system to detect wheat rust disease and classify its infection types into four classes, including healthy, …

Control And Protection Of Mmc-Based Hvdc Systems: A Review, Rashid Hussain Chandio, Faheem Akhtar Chachar, Jahangeer Badar Soomro, Jamshed Ahmed Ansari, Mudassir Munir Mudassir Munir, Hossam Zawbaa, Salah Kamel Salah Kamel

Articles

The voltage source converter (VSC) based HVDC (high voltage direct current system) offers the possibility to integrate other renewable energy sources (RES) into the electrical grid, and allows power flow reversal capability. These appealing features of VSC technology led to the further development of multi-terminal direct current (MTDC) systems. MTDC grids provide the possibility of interconnection between conventional power systems and other large-scale offshore sources like wind and solar systems. The modular multilevel converter (MMC) has become a popular technology in the development of the VSC-MTDC system due to its salient features such as modularity and scalability. Although, the employment …

Distributed Intermittent Fault Diagnosis In Wireless Sensor Network Using Likelihood Ratio Test, Bhabani Sankar Gouda, Meenakshi Panda, Trilochan Panigrahi, Sudhakar Das, Bhargav Appasani, Omprakash Acharya, Hossam Zawbaa, Salah Kamel

Articles

In current days, sensor nodes are deployed in hostile environments for various military and commercial applications. Sensor nodes are becoming faulty and having adverse effects in the network if they are not diagnosed and inform the fault status to other nodes. Fault diagnosis is difficult when the nodes behave faulty some times and provide good data at other times. The intermittent disturbances may be random or kind of spikes either in regular or irregular intervals. In literature, the fault diagnosis algorithms are based on statistical methods using repeated testing or machine learning. To avoid more complex and time consuming repeated …

Lightnet: A Novel Lightweight Convolutional Network For Brain Tumor Segmentation In Healthcare, Dongyuan Wu, Junyi Tao, Zhen Qin, Rao Asad Mumtaz, Jin Qin, Linfang Yu, Jane Courtney

Articles

Diagnosis, treatment planning, surveillance, and the monitoring of clinical trials for brain diseases all benefit greatly from neuroimaging-based tumor segmentation. Recently, Convolutional Neural Networks (CNNs) have demonstrated promising results in enhancing the efficiency of image-based brain tumor segmentation. Most current work on CNNs, however, is devoted to creating increasingly complicated convolution modules to improve performance, which in turn raises the computing cost of the model. This work proposes a simple and effective feed-forward CNN, LightNet (Light Network). Based on multi-path and multi-level, it replaces traditional convolutional methods with light operations, which reduces network parameters and redundant feature maps. In the …

Wind Turbine Predictive Fault Diagnostics Based On A Novel Long Short-Term Memory Model, Shuo Zhang, Emma Robinson, Malabika Basu

Articles

The operation and maintenance (O&M) issues of offshore wind turbines (WTs) are more challenging because of the harsh operational environment and hard accessibility. As sudden component failures within WTs bring about durable downtimes and significant revenue losses, condition monitoring and predictive fault diagnostic approaches must be developed to detect faults before they occur, thus preventing durable downtimes and costly unplanned maintenance. Based primarily on supervisory control and data acquisition (SCADA) data, thirty-three weighty features from operational data are extracted, and eight specific faults are categorised for fault predictions from status information. By providing a model-agnostic vector representation for time, Time2Vec …

Legal Cooperation Issues On Sea Level Rise, Maria Teresa Infante

American University Law Review

This is a very timely event. Although there have been several cases in which experts—both academics and governments—discuss the connection between sea-level rise and the legal framework, this event is important because it will bring to the forefront the fact that the practice in the Americas and the Caribbean should be analyzed when discussing this pressing topic. This is a very important initiative; I encourage the Inter-American system and the juridical committee to tackle this issue. I hope it will be in connection with the work that is being conducted by the International Law Commission itself.