Digital Commons Network^™

Adjuvant 5-Fluorouracil/Leucovorin, Capecitabine, And Oxaliplatin-Related Regimens For Stage Ii/Iii Colon Cancer Patients 66 Years Or Older, Emily Jones, Zhigang Duan, Thinh T Nguyen, Sharon H Giordano, Hui Zhao

Faculty, Staff and Student Publications

Adjuvant chemotherapy of leucovorin-modulated 5-fluorouracil (5-FU/LV), capecitabine, and adding oxaliplatin to 5-FU/LV or capecitabine (FLOX/OX) have been standard regimens for high-risk stage II or III colon cancer (CC). We aimed to evaluate their patterns of use, association with survival, and rate of emergency room visit (ER) or hospitalization during the treatment period. High-risk stage II or III patients aged >65 years diagnosed between 2007 and 2015, underwent colectomy, and received any of these three regimens were selected from SEER and Texas Cancer Registry (TC) linked with Medicare data. Chi-square test, Kaplan-Meier survival curves, Cox regression, and logistic regression were used …

Dual Beam-Current Transformer Design For Monitoring And Reporting Of Electron Ultra-High Dose Rate (Flash) Beam Parameters, Kevin Liu, Allison Palmiero, Nitish Chopra, Brett Velasquez, Ziyi Li, Sam Beddar, Emil Schüler

Faculty, Staff and Student Publications

PURPOSE: To investigate the usefulness and effectiveness of a dual beam-current transformer (BCTs) design to monitor and record the beam dosimetry output and energy of pulsed electron FLASH (eFLASH) beams in real-time, and to inform on the usefulness of this design for future eFLASH beam control.

METHODS: Two BCTs are integrated into the head of a FLASH Mobetron system, one located after the primary scattering foil and the other downstream of the secondary scattering foil. The response of the BCTs was evaluated individually to monitor beam output as a function of dose, scattering conditions, and ability to capture physical beam …

Automatic Diagnosis Of Late-Life Depression By 3d Convolutional Neural Networks And Cross-Sample Entropy Analysis From Resting-State Fmri, Chemin Lin, Shwu-Hua Lee, Chih-Mao Huang, Guan-Yen Chen, Wei Chang, Ho-Ling Liu, Shu-Hang Ng, Tatia Mei-Chun Lee, Shun-Chi Wu

Faculty, Staff and Student Publications

Resting-state fMRI has been widely used in investigating the pathophysiology of late-life depression (LLD). Unlike the conventional linear approach, cross-sample entropy (CSE) analysis shows the nonlinear property in fMRI signals between brain regions. Moreover, recent advances in deep learning, such as convolutional neural networks (CNNs), provide a timely application for understanding LLD. Accurate and prompt diagnosis is essential in LLD; hence, this study aimed to combine CNN and CSE analysis to discriminate LLD patients and non-depressed comparison older adults based on brain resting-state fMRI signals. Seventy-seven older adults, including 49 patients and 28 comparison older adults, were included for fMRI …

Poster: Userland Containers For Mobile Systems, Isaac Ahlgren, Victor Rakotondranoro, Yasin N. Silva, Eric Chan-Tin, George K. Thiruvathukal, Neil Klingensmith

Computer Science: Faculty Publications and Other Works

Mobile platforms are not rising to their potential as ubiquitous computers, in large part because of the constraints we impose on their apps in the name of security. Mobile operating systems have long struggled with the challenge of isolating untrusted apps. In pursuit of a secure runtime environment, Android and iOS isolate apps inside a gulag of platform-imposed programming languages and runtime libraries, leaving few design decisions to the application developers. These thick layers of custom software eschew app portability and maintainability, as development teams must continually tweak their apps to support modifications to the OS's runtime libraries. Nonstandard and …

Australian Consumers’ Attitudes Towards Sustainable Diet Practices Regarding Food Waste, Food Processing, And The Health Aspects Of Diet: A Cross Sectional Survey, Janelle D. Healy, Satvinder S. Dhaliwal, Christina M. Pollard, Piyush Sharma, Clare Whitton, Lauren C. Blekkenhorst, Carol J. Boushey, Jane A. Scott, Deborah A. Kerr

Research outputs 2022 to 2026

Environmentally sustainable diets are increasingly aspired to in food-based dietary guidelines across the world. However, little is known about consumer attitudes toward these diets when making food decisions. This study aimed to identify the demographic characteristics of Australian adults based on the level of attention they paid to the healthfulness of their diet, their consideration of the level of food processing, and their concern about household food waste and sustainable packaging disposal. Adults aged from 18 to over 75 years (n = 540) were surveyed online. Thirty-seven percent were concerned about sustainable food waste, 28 % considered the level of …

Comparison Of Four Dietary Pattern Indices In Australian Baby Boomers: Findings From The Busselton Healthy Ageing Study, Sierra R. Mcdowell, Kevin Murray, Michael Hunter, Lauren C. Blekkenhorst, Joshua R. Lewis, Jonathan M. Hodgson, Nicola P. Bondonno

Research outputs 2022 to 2026

The assessment of dietary patterns comprehensively represents the totality of the diet, an important risk factor for many chronic diseases. This study aimed to characterise and compare four dietary pattern indices in middle-aged Australian adults. In 3458 participants (55 % female) from the Busselton Healthy Ageing Study (Phase Two), a validated food frequency questionnaire was used to capture dietary data between 2016 and 2022. Four dietary patterns [Australian Dietary Guideline Index 2013 (DGI-2013); the Mediterranean Diet Index (MedDiet); the Literature-based Mediterranean Diet Index (Lit-MedDiet); and the EAT-Lancet Index], were calculated and compared by measuring total and sub-component scores, and concordance …

Deep Feature Meta-Learners Ensemble Models For Covid-19 Ct Scan Classification, Jibin B. Thomas, K. V. Shihabudheen, Sheik Mohammed Sulthan, Adel Al-Jumaily

Research outputs 2022 to 2026

The infectious nature of the COVID-19 virus demands rapid detection to quarantine the infected to isolate the spread or provide the necessary treatment if required. Analysis of COVID-19-infected chest Computed Tomography Scans (CT scans) have been shown to be successful in detecting the disease, making them essential in radiology assessment and screening of infected patients. Single-model Deep CNN models have been used to extract complex information pertaining to the CT scan images, allowing for in-depth analysis and thereby aiding in the diagnosis of the infection by automatically classifying the chest CT scan images as infected or non-infected. The feature maps …

Digital Twin Applications In 3d Concrete Printing, Yuxin Wang, Farhad Aslani, Arcady Dyskin, Elena Pasternak

Research outputs 2022 to 2026

The benefits of 3D concrete printing (3DCP) include reducing construction time and costs, providing design freedom, and being environmentally friendly. This technology is expected to be effective in addressing the global house shortage. This review highlights the main 3DCP applications and four critical challenges. It is proposed to combine 3D concrete printing with Digital Twin (DT) technology to meet the challenges the 3DCP faces and improve quality and sustainability. This paper provides a critical review of research into the application of DT technology in 3DCP, categorize the applications and directions proposed according to different lifecycles, and explore the possibility of …

A Computational Offloading Optimization Scheme Based On Deep Reinforcement Learning In Perceptual Network, Yongli Xing, Tao Ye, Sami Ullah, Muhammad Waqas, Hisham Alasmary, Zihui Liu

Research outputs 2022 to 2026

Currently, the deep integration of the Internet of Things (IoT) and edge computing has improved the computing capability of the IoT perception layer. Existing offloading techniques for edge computing suffer from the single problem of solidifying offloading policies. Based on this, combined with the characteristics of deep reinforcement learning, this paper investigates a computation offloading optimization scheme for the perception layer. The algorithm can adaptively adjust the computational task offloading policy of IoT terminals according to the network changes in the perception layer. Experiments show that the algorithm effectively improves the operational efficiency of the IoT perceptual layer and reduces …

Corticospinal And Intracortical Responses From Both Motor Cortices Following Unilateral Concentric Versus Eccentric Contractions, Onno Van Der Groen, Christopher Latella, Kazunori Nosaka, Dylan Edwards, Wei Peng Teo, Janet L. Taylor

Research outputs 2022 to 2026

Cross-education is the phenomenon where training of one limb can cause neuromuscular adaptations in the opposite untrained limb. This effect has been reported to be greater after eccentric (ECC) than concentric (CON) strength training; however, the underpinning neurophysiological mechanisms remain unclear. Thus, we compared responses to transcranial magnetic stimulation (TMS) in both motor cortices following single sessions of unilateral ECC and CON exercise of the elbow flexors. Fourteen healthy adults performed three sets of 10 ECC and CON right elbow flexor contractions at 75 % of respective maximum on separate days. Elbow flexor maximal voluntary isometric contraction (MVIC) torques were …

Effect Of Deferoxamine On Post-Transfusion Iron, Inflammation, And In Vitro Microbial Growth In A Canine Hemorrhagic Shock Model: A Randomized Controlled Blinded Pilot Study, Melissa A. Claus, Lisa Smart, Anthea L. Raisis, Claire R. Sharp, Sam Abraham, Joel P. A. Gummer, Martin K. Mead, Damian L. Bradley, Rachel Van Swelm, Erwin T. G. Wiegerinck, Edward Litton

Research outputs 2022 to 2026

Red blood cell (RBC) transfusion is associated with recipient inflammation and infection, which may be triggered by excessive circulating iron. Iron chelation following transfusion may reduce these risks. The aim of this study was to evaluate the effect of deferoxamine on circulating iron and inflammation biomarkers over time and in vitro growth of Escherichia coli (E. coli) following RBC transfusion in dogs with atraumatic hemorrhage. Anesthetized dogs were subject to atraumatic hemorrhage and transfusion of RBCs, then randomized to receive either deferoxamine or saline placebo of equivalent volume (n = 10 per group) in a blinded fashion. Blood was sampled …

Impact Of The Skill Shortage On The Construction Supply Chain Performance In Australia, Ming Juan Ding, Ferry Jie, Sommala Sisombat, Bala S. Bandlamudi

Research outputs 2022 to 2026

The purpose of this paper is to investigate how the skill shortage impacts the performance of the construction supply chain in Australia. The study has adopted a quantitative research method. The quantitative data were collected by conducting a survey of employees who work in construction companies in Australia. A regression analysis was used to analyze the data from 113 respondents. The findings of the study reveal that the construction sector in Australia has high labour costs, but workers are still thinking they are not getting paid enough and cannot invest more in themselves to improve their skills. There is a …

Prediction Models Of Shielding Effectiveness Of Carbon Fibre Reinforced Cement-Based Composites Against Electromagnetic Interference, Shilpa Narayanan, Yifan Zhang, Farhad Aslani

Research outputs 2022 to 2026

With the rapid development of communication technology as well as a rapid rise in the usage of electronic devices, a growth of concerns over unintentional electromagnetic interference emitted by these devices has been witnessed. Pioneer researchers have deeply studied the relationship between the shielding effectiveness and a few mixed design parameters for cementitious composites incoporating carbon fibres by conducting physical experiments. This paper, therefore, aims to develop and propose a series of prediction models for the shielding effectiveness of cementitious composites involving carbon fibres using frequency and mixed design parameters, such as the water-to-cement ratio, fibre content, sand-to-cement ratio and …

Site Selection Of Combined Offshore Wind And Wave Energy Farms: A Systematic Review, Shabnam Hosseinzadeh, Amir Etemad-Shahidi, Rodney A. Stewart

Research outputs 2022 to 2026

Growing energy demand worldwide and onshore limitations have increased interest in offshore renewable energy exploitation. A combination of offshore renewable energy resources such as wind and wave energy can produce stable power output at a lower cost compared to a single energy source. Consequently, identifying the best locations for constructing combined offshore renewable energy farms is crucial. This paper investigates the technical, economic, social, and environmental aspects of Combined Offshore Wind and Wave Energy Farm (COWWEF) site selection. Past literature was evaluated using a systematic review method to synthesize, criticize, and categorize study regions, dataset characteristics, constraints, evaluation criteria, and …

Validity And Reliability Of Inertial Measurement System For Linear Movement Velocity In Flywheel Squat Exercise, Sergio Maroto-Izquierdo, Kazunori Nosaka, Jesús Alarcón-Gómez, Fernando Martín-Rivera

Research outputs 2022 to 2026

The aim of this study was to examine the validity and reliability of an Inertial Measurement System integrated into a secondary pulley (IMS) for determining linear velocity during flywheel squat exercises. Thirty-one male participants who were highly experienced in a flywheel resistance exercise training performed flywheel squat exercises with three incremental loads, and mean velocity (MV), mean propulsive velocity (MPV) and max velocity (Vmax) of the exercises were simultaneously recorded with a validated linear encoder and the IMS, in two different sessions. Validity was analyzed using ordinary least products regression (OLP), Lin’s concordance correlation coefficient (CCC), and Hedge’s g for …

Using Nanomaterials As Excellent Immobilisation Layer For Biosensor Design, Azeez Olayiwola Idris, Seyi Philemon Akanji, Benjamin O. Orimolade, Foluke Omobola Grace Olorundare, Shohreh Azizi, Bhekie Mamba, Malik Maaza

Research outputs 2022 to 2026

The endless development in nanotechnology has introduced new vitality in device fabrication including biosensor design for biomedical applications. With outstanding features like suitable biocompatibility, good electrical and thermal conductivity, wide surface area and catalytic activity, nanomaterials have been considered excellent and promising immobilisation candidates for the development of high-impact biosensors after they emerged. Owing to these reasons, the present review deals with the efficient use of nanomaterials as immobilisation candidates for biosensor fabrication. These include the implementation of carbon nanomaterials—graphene and its derivatives, carbon nanotubes, carbon nanoparticles, carbon nanodots—and MXenes, likewise their synergistic impact when merged with metal oxide nanomaterials. …

Bzip Transcription Factors Repress The Expression Of Wheat (Triticum Aestivum L.) High Molecular Weight Glutenin Subunit Genes In Vegetative Tissues, Csaba Éva, Blanka Moncsek, Kitti Szőke-Pázsi, Viola Kunos, Klára Mészáros, Szabolcs Makai, László Sági, Angéla Juhász

Research outputs 2022 to 2026

High molecular weight glutenin subunits (HMW GS) represent an important fraction of endosperm-specific seed-storage proteins that provide elasticity to bread dough. Previously, the second cis-regulatory module (CRM2) was found to be one of the most conserved part of HMW GS promoters, which indicated its pre-eminent role in their gene regulation. Here, we observed that deletion of CRM2 from the promoters of the Bx7 and By8 HMW GS genes increased the leakage of their transient expression in wheat leaf tissue. The effect of a VP1, an Myb and an antisense bZIP transcription factor (TF)-binding site, potentially involved in endosperm-specific regulation within …

Effects Of Supply Chain Transparency, Alignment, Adaptability, And Agility On Blockchain Adoption In Supply Chain Among Smes, Mohammad Iranmanesh, Parisa Maroufkhani, Shahla Asadi, Morteza Ghobakhloo, Yogesh K. Dwivedi, Ming-Lang Tseng

Research outputs 2022 to 2026

This study aims to investigate the extent to which the contributions of blockchain technology to supply chain parameters influence blockchain adoption among SMEs. Drawing on contingency theory, the study investigates the moderating effect of market turbulence. The data were collected from 204 SMEs in Malaysia's manufacturing sector and analysed using the partial least squares technique. The results showed that the intention of SMEs’ managers to adopt blockchain is influenced by the contributions of blockchain to supply chain transparency and agility. Supply chain transparency, alignment, adaptability, and agility are interrelated. Market turbulence moderates positively the association between agility and intention to …

Understanding And Improving Older People’S Well-Being Through Social Prescribing Involving The Cultural Sector: Interviews From A Realist Evaluation, Jordan Gorenberg, Stephanie Tierney, Geoff Wong, Amadea Turk, Sebastien Libert, Caroline Potter, Kathryn Eccles, Shona Forster, Kerryn Husk, Helen J. Chatterjee, Emma Webster, Beth Mcdougall, Harriet Warburton, Lucy Shaw, Kamal R. Mahtani

Peninsula Medical School

Social prescribing is a non-clinical approach to addressing social, environmental, and economic factors affecting how people feel physical and/or emotionally. It involves connecting people to ?community assets? (e.g., local groups, organizations, and charities) that can contribute to positive well-being. We sought to explain in what ways, for whom, and why the cultural sector can support social prescribing with older people. We conducted semi-structured interviews with 28 older people (aged 60+) and 25 cultural sector staff. The following nine concepts, developed from interview data, progressed the understanding of tailoring cultural offers, which came from our previous realist review?immersion, buddying, café culture, …

Using Digital Technologies To Facilitate Social Inclusion During The Covid‐19 Pandemic: Experiences Of Co‐Resident And Non‐Co‐Resident Family Carers Of People With Dementia From Determind‐C19, B Hicks, Determind Team

Peninsula Medical School

Background The COVID-19 pandemic triggered rapid and unprecedented changes in the use of digital technologies to support people's social inclusion. We examined whether and how co-resident and non-co-resident family carers of people with dementia engaged with digital technologies during this period. Methods Throughout November 2020-February 2021, we interviewed 42 family carers of people with dementia from our DETERMIND-C19 cohort. Preliminary analysis was conducted through Framework analysis, followed by an inductive thematic analysis. Findings Digital technologies served as a Facilitator for social inclusion by enabling carers to counter the effects of the differing restrictions imposed on them so they could remain …

A Corpus-Driven Comparative Analysis Of Verb Phrase Based Bundles In L2 Malaysian Polytechnic Learners’ Writing, Subramaniam Radika

Student Works (2020-2029)

This study aims to explore the similarities and differences in the use of verb phrase-based (VP-based) bundles in the writing of L2 Malaysian Engineering learners via the Malaysian Polytechnic Electronic Engineering Learner Corpus (MyPolyEELC) in comparison to their native counterparts in the British Academic Written English (BAWE) sub-corpus and experts in the Electrical and Electronic Engineering Research Articles Corpus (3ERAC). The MyPolyEELC which consists of 891,919 words is developed from 231 Final Year Project reports written by Electronic Engineering Diploma learners from 14 Malaysian polytechnics. The 374,383-word BAWE sub-corpus is compiled from the existing BAWE corpus by selecting texts written …

Pregnancy Advance Directives, Joan H. Krause

Cardozo Law Review

No abstract provided.

Foreseeability Conventions, John Fabian Witt, Morgan Savige

Cardozo Law Review

How has the foreseeability standard survived its critics? Law relies on foreseeability to solve hard legal problems in a vast array of doctrinal fields. But for a century and more, critics have pilloried the standard as hopelessly indeterminate. Decisionmakers, observe the critics, can characterize virtually any consequence as either foreseeable or unforeseeable. It all depends on how one tells the story. This Article explains the conundrum of foreseeability’s puzzling persistence by offering a novel account of how foreseeability has flourished in fields like tort, contract, and crime. Foreseeability has survived and flourished, the Article proposes, not because it carries determinate …

Can Artists Recapture Their Copyrights In Musical Compositions That Have Been Lost To The Public Domain? Skidmore V. Led Zeppelin Applied, Brianna Bell

Cardozo Law Review

No abstract provided.

Bond Conditions As Fourth Amendment Seizures, Rebecca Laden

Cardozo Law Review

No abstract provided.

First-Principles Calculations On The Electronic Structure, Mechanical, Vibrational, And Thermal Properties Of The Ca₃Bin Antiperovskite Alloy, Reem Maher Mohamad

Theses

Antiperovskites are the counterparts of perovskites. They have diverse properties that make them physically rich and technologically relevant. In the recent years, the alkaline earth based antiperovskites, especially the ones with small semiconductor bandgap, have captured tremendous attention due to their properties which make them efficient to be used in optoelectronic and thermoelectric applications. In this thesis, we are shading light on the alkaline antiperovskite ����₃������ due to its narrow bandgap. Thus, it can be considered as a promising candidate for thermoelectric and optoelectronic applications. Specifically, it is used to harvest waste thermal energy into electricity at low …

Heat Transfer In Mini-Channel Heat Exchanger With Smooth And Pin-Fins Surfaces, Mohammed Molham Daadoua

Theses

This research aims to investigate heat transfer of single-phase and two-phase fluids in mini-channel heat exchanger with smooth and pin-fins surfaces. The main goal of the study is to develop a high-performance heat exchanger for thermal management in various processing applications. This research is carried out using computational fluid dynamics (CFD) modeling and experimentations. The proposed method is to use enhanced structured pin-fins surfaces in a mini-channel heat exchanger to improve heat transfer. The pin-fin microchannel heat exchanger is investigated using a CFD method with single-phase fluid (water, air). The experimental investigations are conducted using single-phase and two-phase fluid involving …

Gender Inequality Against Women Fishers In Indonesia, Ani Purwanti, Dyah Wijaningsih, Muh. Afif Mahfud, Aga Natalis

Indonesia Law Review

This study explores whether or not Law No. 7 of 2016 for the Protection and Empowerment of Fishermen, Fish Cultivators, and Salt Farmers discriminates against women. This law supports small fishermen since it requires the government to provide them with financial stability through harvest season output guarantees. On the other hand, we discovered that Law No. 7 of 2016, about the Protection and Empowerment of Fishermen, Fish Cultivators, and Salt Farmers, has discriminatory consequences damaging the welfare of female fishermen. Because of sociological and cultural bias, female fishermen are the most neglected segment in the fishing sector. This is in …

High Precision Programmable Delay In Networking Switches, N/A

Defensive Publications Series

Fairness in computer networks used in application domains such as financial markets, prediction markets, etc., can be achieved by ensuring that all participants receive the same multicast information at the same time. However, in practice, due to factors such as differing processing delays at network nodes, differing optical fiber lengths, etc., some participants may receive data sooner than others. This disclosure describes techniques to reduce timing variance and unfairness in multicast networks. Since multicasting works by replicating information to destination nodes, the replication engine at a node of a given network layer is programmed to delay retransmission of information received …

Irewards, Mrudul Uchil, Shakti Nilesh

Defensive Publications Series

The present disclosure relates to providing a single platform (107) to communicate offers/promotions to users (101). The platform receives payment cards details and associated issuer information from a user (101). The platform further receives information related to at least one merchant (105) and favorite brand of the user (101). The information related to the merchant or brand may be a name or an identity number. The platform (107) uses machine learning and/or data analytics and dynamically fetches current offers/promotions associated with the cards that can be availed at the at least one merchant (105) and favorite brand of the user …