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Articles 579541 - 579570 of 5165602

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Interview No. 1761, Rios Feb 2023

Interview No. 1761, Rios

Combined Interviews

Everyone at Farah hated their job, that’s how Rios described it when she first started working there. She didn’t understand the problems happening at Farah at Paisano that made every worker hate going to work every day. A couple of days pass, she received her first check and realized that she got payed very little, when the manager told her that she would be getting payed more. She realized that she started her work there as a lie and that the contract that she sign was also a total lie that the managers didn’t respect.

At first, she thought that …


Interview No. 1765, Garcia Feb 2023

Interview No. 1765, Garcia

Combined Interviews

Garcia has lived and worked in El Paso, Texas. She mentioned that poverty in Mexico is worse than the poverty in the United States. Garcia left Mexico 5 years ago to get a better life in the USA. She left her children with her mother and got on the train to get to El Paso, Texas. She first arrived to Ciudad Juarez, Mexico and stayed with a family during a couple of weeks, while she gathered her papers to get a passport. After she got her passport she went to El Paso and started working and sending money back to …


Interview No. 1768, Arieta Feb 2023

Interview No. 1768, Arieta

Combined Interviews

When Arieta initially started working there, she said that everyone at Farah detested their jobs. She didn't get the issues at Farah in Paisano that made every employee dread reporting to work each day. After a few days had passed, she received her first check and found she had been paid very little before the manager informed her that her pay would be increasing. She came to the realization that the contract she signed when she first started working there was also a complete fabrication that the bosses didn't regard.

She initially believed that Farah employed anyone who was willing …


Interview No. 1770, Del Hierro Feb 2023

Interview No. 1770, Del Hierro

Combined Interviews

Nearly all of Farah's employees were exhausted and tired of work. That was when Del Hierro started working there. She didn’t understand the problem in Farah of Paisano that was causing all workers to be reluctant to go to work every day. A few days went by and she received her first check and when the manager told her she would be paid more, she realized she had barely been paid, and realized that the contract she signed was also a complete lie and not respected by her manager.

At first, she thought the hiring process would be so easy …


Interview No. 1775, Jaramillo De Palacio Feb 2023

Interview No. 1775, Jaramillo De Palacio

Combined Interviews

She mentions that the companies were demanding the same quality of work and they were not realizing the amount of work they were giving to the workers, and it was an excessive amount of it. She says that the strikes separated people because it was a movement that had different opinions, but in the end they were fighting for the same thing. The union was created to support employees but the workers realized that that wasn’t true at all. When the strike first started she couldn’t ever imagine that the strike was going to be as big as it was, …


Interview No. 1776, Paraa Feb 2023

Interview No. 1776, Paraa

Combined Interviews

She says that everything is back in busisnes at Farah and that the new president of Farah is not fighting with the union any more. She says that many people are getting left off and many people just like her she was let off and came back 3 times in a row and she says that she is thinking that is better for her to start studying. She says that Willy Farah, the owner, was very hated and loved at the same tiem and she says that many people will give them gifts such as bringing him mariachi and workers …


Interview No. 1778, Herrera Feb 2023

Interview No. 1778, Herrera

Combined Interviews

She said her husband worked for Farah, but they treated him very poorly, and were told to keep working with the bad consditionds. All they could do was keep working, but eventually tired of the abuse. She says that his His job at Farah included cutting metals that left a lot of metal debrie, which were labor intensive and heavy jobs. She claims that before the union there was no one to turn to for help and his husband was part of the union. They believed a union would improve their situation, but it didn't work. When you were hired, …


Interview No. 1783, Avalos Feb 2023

Interview No. 1783, Avalos

Combined Interviews

Avalos grandmother is from Mexico. Her father was always on duty and her mother passed away when Avalos was four years old. After her mother passing, her grandmother adopted them and she became their mother. Avalos considers her grandmother her real mother, because she did everything for them. Avalos thanks her grandmother for everything she did for them even when she was an older woman struggling with her health. During her childhood before living with her grandmother she was at an orphanage for a couple of months. Once Avalos and her siblings went to stay with her grandmother their lives …


A Fair Incentive Scheme For Community Health Workers, Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai Feb 2023

A Fair Incentive Scheme For Community Health Workers, Avinandan Bose, Tracey Li, Arunesh Sinha, Tien Mai

Research Collection School Of Computing and Information Systems

Community health workers (CHWs) play a crucial role in the last mile delivery of essential health services to under-served populations in low-income countries. Many non-governmental organizations (NGOs) provide training and support to enable CHWs to deliver health services to their communities, with no charge to the recipients of the services. This includes monetary compensation for the work that CHWs perform, which is broken down into a series of well-defined tasks. In this work, we partner with a NGO D-Tree International to design a fair monetary compensation scheme for tasks performed by CHWs in the semi-autonomous region of Zanzibar in Tanzania, …


Lightweight And Non-Invasive User Authentication On Earables, Changshuo Hu, Xiao Ma, Dong Ma, Ting Dang Feb 2023

Lightweight And Non-Invasive User Authentication On Earables, Changshuo Hu, Xiao Ma, Dong Ma, Ting Dang

Research Collection School Of Computing and Information Systems

The widespread adoption of wireless earbuds has advanced the developments in earable-based sensing in various domains like entertainment, human-computer interaction, and health monitoring. Recently, researchers have shown an increased interest in user authentication using earables. Despite the successes witnessed in acoustic probing and speech based authentication systems, this paper proposed a lightweight and non-invasive ambient sound based user authentication scheme. It employs the difference between the in-ear and out-ear sounds to estimate the individual-specific occluded ear canal transfer function (OECTF). Specifically, the {out-ear, in-ear} scaling factors at different frequency bands are captured via linear regression and treated as the OECTF …


Mitigating Popularity Bias For Users And Items With Fairness-Centric Adaptive Recommendation, Zhongzhou Liu, Yuan Fang, Min Wu Feb 2023

Mitigating Popularity Bias For Users And Items With Fairness-Centric Adaptive Recommendation, Zhongzhou Liu, Yuan Fang, Min Wu

Research Collection School Of Computing and Information Systems

Recommendation systems are popular in many domains. Researchers usually focus on the effectiveness of recommendation (e.g., precision) but neglect the popularity bias that may affect the fairness of the recommendation, which is also an important consideration that could influence the benefits of users and item providers. A few studies have been proposed to deal with the popularity bias, but they often face two limitations. Firstly, most studies only consider fairness for one side - either users or items, without achieving fairness jointly for both. Secondly, existing methods are not sufficiently tailored to each individual user or item to cope with …


Learning To Count Isomorphisms With Graph Neural Networks, Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang Feb 2023

Learning To Count Isomorphisms With Graph Neural Networks, Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang

Research Collection School Of Computing and Information Systems

Subgraph isomorphism counting is an important problem on graphs, as many graph-based tasks exploit recurring subgraph patterns. Classical methods usually boil down to a backtracking framework that needs to navigate a huge search space with prohibitive computational costs. Some recent studies resort to graph neural networks (GNNs) to learn a low-dimensional representation for both the query and input graphs, in order to predict the number of subgraph isomorphisms on the input graph. However, typical GNNs employ a node-centric message passing scheme that receives and aggregates messages on nodes, which is inadequate in complex structure matching for isomorphism counting. Moreover, on …


On Generalized Degree Fairness In Graph Neural Networks, Zemin Liu, Trung Kien Nguyen, Yuan Fang Feb 2023

On Generalized Degree Fairness In Graph Neural Networks, Zemin Liu, Trung Kien Nguyen, Yuan Fang

Research Collection School Of Computing and Information Systems

Conventional graph neural networks (GNNs) are often confronted with fairness issues that may stem from their input, including node attributes and neighbors surrounding a node. While several recent approaches have been proposed to eliminate the bias rooted in sensitive attributes, they ignore the other key input of GNNs, namely the neighbors of a node, which can introduce bias since GNNs hinge on neighborhood structures to generate node representations. In particular, the varying neighborhood structures across nodes, manifesting themselves in drastically different node degrees, give rise to the diverse behaviors of nodes and biased outcomes. In this paper, we first define …


Flexible Job-Shop Scheduling Via Graph Neural Network And Deep Reinforcement Learning, Wen Song, Xinyang Chen, Qiqiang Li, Zhiguang Cao Feb 2023

Flexible Job-Shop Scheduling Via Graph Neural Network And Deep Reinforcement Learning, Wen Song, Xinyang Chen, Qiqiang Li, Zhiguang Cao

Research Collection School Of Computing and Information Systems

Recently, deep reinforcement learning (DRL) has been applied to learn priority dispatching rules (PDRs) for solving complex scheduling problems. However, the existing works face challenges in dealing with flexibility, which allows an operation to be scheduled on one out of multiple machines and is often required in practice. Such one-to-many relationship brings additional complexity in both decision making and state representation. This article considers the well-known flexible job-shop scheduling problem and addresses these issues by proposing a novel DRL method to learn high-quality PDRs end to end. The operation selection and the machine assignment are combined as a composite decision. …


Contrastive Learning Approach To Word-In-Context Task For Low-Resource Languages, Pei-Chi Lo, Yang-Yin Lee, Hsien-Hao Chen, Agus Trisnajaya Kwee, Ee-Peng Lim Feb 2023

Contrastive Learning Approach To Word-In-Context Task For Low-Resource Languages, Pei-Chi Lo, Yang-Yin Lee, Hsien-Hao Chen, Agus Trisnajaya Kwee, Ee-Peng Lim

Research Collection School Of Computing and Information Systems

Word in context (WiC) task aims to determine whether a target word’s occurrences in two sentences share the same sense. In this paper, we propose a Contrastive Learning WiC (CLWiC) framework to improve the learning of sentence/word representations and classification of target word senses in the sentence pair when performing WiC on lowresource languages. In representation learning, CLWiC trains a pre-trained language model’s ability to cope with lowresource languages using both unsupervised and supervised contrastive learning. The WiC classifier learning further finetunes the language model with WiC classification loss under two classifier architecture options, SGBERT and WiSBERT, which use single-encoder …


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 Feb 2023

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 …


Encapsulation Of Orange Peel Oil In Biopolymeric Nanocomposites To Control Its Release Under Different Conditions, Sanaz Ghasemi, Elham Assadpour, Mohammad Saeed Kharazmi, Shima Jafarzadeh, Masoumeh Zargar, Seid Mahdi Jafari Feb 2023

Encapsulation Of Orange Peel Oil In Biopolymeric Nanocomposites To Control Its Release Under Different Conditions, Sanaz Ghasemi, Elham Assadpour, Mohammad Saeed Kharazmi, Shima Jafarzadeh, Masoumeh Zargar, Seid Mahdi Jafari

Research outputs 2022 to 2026

Orange peel oil (OPO) is one of the most common flavorings used in the food industry, but it is volatile under environmental conditions (the presence of light, oxygen, humidity, and high temperatures). Encapsulation by biopolymer nanocomposites is a suitable and novel strategy to improve the bioavailability and stability of OPO and its controlled release. In this study, we investigated the release profile of OPO from freeze-dried optimized nanocomposite powders as a function of pH (3, 7, 11) and temperature (30, 60, and 90 °C), and within a simulated salivary system. Finally, its release kinetics modelling was performed using experimental models. …


Psychological Profiles Of South African Smallholder Farmers, Navjot Bhullar, Nkhanedzeni B. Nengovhela, Livhuwani Mudau, Renato A. Villano, Isaac Koomson, Heather M. Burrow Feb 2023

Psychological Profiles Of South African Smallholder Farmers, Navjot Bhullar, Nkhanedzeni B. Nengovhela, Livhuwani Mudau, Renato A. Villano, Isaac Koomson, Heather M. Burrow

Research outputs 2022 to 2026

The present study examined smallholder farmer profiles based on key psychological variables associated with farm business performance in the South African context. A sample of 471 beef farmers (mean age = 54.15 years; SD = 14.46; men = 76 %) and 426 poultry farmers (mean age = 47.28 years; SD = 13.53; women = 54.5 %) provided data on a range of measures assessing attitudes, subjective norms, perceived behavioral control, personality characteristics, present and future time orientation, expected benefits of, and efficacy to perform the farm business tasks, and farm-related concerns. Latent profile analysis identified three distinct profile segments of …


Calling An Ambulance For Non-Emergency Medical Situations: Results Of A Cross-Sectional Online Survey From An Australian Nationally Representative Sample, Brennen Mills, Michella Hill, Alecka Miles, Erin Smith, Eben Afrifa-Yamoah, David Reid, Shane Rogers, Moira Sim Feb 2023

Calling An Ambulance For Non-Emergency Medical Situations: Results Of A Cross-Sectional Online Survey From An Australian Nationally Representative Sample, Brennen Mills, Michella Hill, Alecka Miles, Erin Smith, Eben Afrifa-Yamoah, David Reid, Shane Rogers, Moira Sim

Research outputs 2022 to 2026

Objective

To investigate the Australian general public's perception of appropriate medical scenarios that warrants a call to an emergency ambulance.

Methods

An online survey asked participants to identify the likely medical treatment pathway they would take for 17 hypothetical medical scenarios. The number and type of non-emergency scenarios (n = 8) participants incorrectly suggested were appropriate to place a call for an emergency ambulance were calculated. Participants included Australian residents (aged >18 years) who had never worked as an Australian registered medical doctor, nurse or paramedic.

Results

From a sample of 5264 participants, 40% suggested calling an emergency ambulance …


Risk Factors Associated With 30-Day Unplanned Hospital Readmission For Patients With Mental Illness, Huaqiong Zhou, Irene Ngune, Matthew A. Albrecht, Phillip R. Della Feb 2023

Risk Factors Associated With 30-Day Unplanned Hospital Readmission For Patients With Mental Illness, Huaqiong Zhou, Irene Ngune, Matthew A. Albrecht, Phillip R. Della

Research outputs 2022 to 2026

Unplanned hospital readmission rate is up to 43 % in mental health settings, which is higher than in general health settings. Unplanned readmissions delay the recovery of patients with mental illness and add financial burden on families and healthcare services. There have been efforts to reduce readmissions with a particular interest in identifying patients at higher readmission risk after index admission; however, the results have been inconsistent. This systematic review synthesized risk factors associated with 30-day unplanned hospital readmissions for patients with mental illness. Eleven electronic databases were searched from 2010 to 30 September 2021 using key terms of 'mental …


Deep Feature Meta-Learners Ensemble Models For Covid-19 Ct Scan Classification, Jibin B. Thomas, K. V. Shihabudheen, Sheik Mohammed Sulthan, Adel Al-Jumaily Feb 2023

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 …


Epigenetic Regulation Of Corneal Epithelial Differentiation By Tet2, Yuzuru Sasamoto, Siyuan Wu, Catherine A. A. Lee, Jason Y. Jiang, Bruce R. Ksander, Markus H. Frank, Natasha Y. Frank Feb 2023

Epigenetic Regulation Of Corneal Epithelial Differentiation By Tet2, Yuzuru Sasamoto, Siyuan Wu, Catherine A. A. Lee, Jason Y. Jiang, Bruce R. Ksander, Markus H. Frank, Natasha Y. Frank

Research outputs 2022 to 2026

Epigenetic DNA modification by 5-hydroxymethylcytosine (5hmC), generated by the Ten-eleven translocation (TET) dioxygenases, regulates diverse biological functions in many organ tissues, including the mammalian eye. For example, 5hmC has been shown to be involved in epigenetic regulation of retinal gene expression. However, a functional role of 5hmC in corneal differentiation has not been investigated to date. Here, we examined 5hmC and TET function in the human cornea. We found 5hmC highly expressed in MUC16-positive terminally differentiated cells that also co-expressed the 5hmC-generating enzyme TET2. TET2 knockdown (KD) in cultured corneal epithelial cells led to significant reductions of 5hmC peak distributions …


Exploring Sociodemographic Correlates Of Suicide Stigma In Australia: Baseline Cross-Sectional Survey Findings From The Life-Span Suicide Prevention Trial Studies, Lisa N. Sharwood, Alison L. Calear, Philip J. Batterham, Michelle Torok, Lauren Mcgillivray, Demee Rheinberger, Stephanie Zeritis, Tuguy Esgin, Fiona Shand Feb 2023

Exploring Sociodemographic Correlates Of Suicide Stigma In Australia: Baseline Cross-Sectional Survey Findings From The Life-Span Suicide Prevention Trial Studies, Lisa N. Sharwood, Alison L. Calear, Philip J. Batterham, Michelle Torok, Lauren Mcgillivray, Demee Rheinberger, Stephanie Zeritis, Tuguy Esgin, Fiona Shand

Research outputs 2022 to 2026

The risk of suicidal behaviour in Australia varies by age, sex, sexual preference and Indigenous status. Suicide stigma is known to affect suicide rates and help-seeking for suicidal crises. The aim of this study was to investigate the sociodemographic correlates of suicide stigma to assist in prevention efforts. We surveyed community members and individuals who had attended specific emergency departments for suicidal crisis. The respondents were part of a large-scale suicide prevention trial in New South Wales, Australia. The data collected included demographic characteristics, measures of help-seeking and suicide stigma. The linear regression analyses conducted sought to identify the factors …


Global Dataset On Seagrass Meadow Structure, Biomass And Production, Simone Strydom, Roisin Mccallum, Anna Lafratta, Chanelle L. Webster, Caitlyn M. O'Dea, Nicole E. Said, Natasha Dunham, Karina Inostroza, Cristian Salinas, Samuel Billinghurst, Charlie M. Phelps, Connor Campbell, Connor Gorham, Rachele Bernasconi, Anna M. Frouws, Axel Werner, Federico Vitelli, Viena Puigcorbé, Alexandra D'Cruz, Kathryn M. Mcmahon, Jack Robinson, Megan J. Huggett, Sian Mcnamara, Glenn A. Hyndes, Oscar Serrano Feb 2023

Global Dataset On Seagrass Meadow Structure, Biomass And Production, Simone Strydom, Roisin Mccallum, Anna Lafratta, Chanelle L. Webster, Caitlyn M. O'Dea, Nicole E. Said, Natasha Dunham, Karina Inostroza, Cristian Salinas, Samuel Billinghurst, Charlie M. Phelps, Connor Campbell, Connor Gorham, Rachele Bernasconi, Anna M. Frouws, Axel Werner, Federico Vitelli, Viena Puigcorbé, Alexandra D'Cruz, Kathryn M. Mcmahon, Jack Robinson, Megan J. Huggett, Sian Mcnamara, Glenn A. Hyndes, Oscar Serrano

Research outputs 2022 to 2026

Seagrass meadows provide valuable socio-ecological ecosystem services, including a key role in climate change mitigation and adaption. Understanding the natural history of seagrass meadows across environmental gradients is crucial to deciphering the role of seagrasses in the global ocean. In this data collation, spatial and temporal patterns in seagrass meadow structure, biomass and production data are presented as a function of biotic and abiotic habitat characteristics. The biological traits compiled include measures of meadow structure (e.g. percent cover and shoot density), biomass (e.g. above-ground biomass) and production (e.g. shoot production). Categorical factors include bioregion, geotype (coastal or estuarine), genera and …


Older Worker-Orientated Human Resource Practices, Wellbeing And Leave Intentions: A Conservation Of Resources Approach For Ageing Workforces, Ben Farr-Wharton, Tim Bentley, Leigh-Ann Onnis, Carlo Caponecchia, Abilio De Almeida Neto, Sharron O’Neill, Catherine Andrew Feb 2023

Older Worker-Orientated Human Resource Practices, Wellbeing And Leave Intentions: A Conservation Of Resources Approach For Ageing Workforces, Ben Farr-Wharton, Tim Bentley, Leigh-Ann Onnis, Carlo Caponecchia, Abilio De Almeida Neto, Sharron O’Neill, Catherine Andrew

Research outputs 2022 to 2026

At a time where there are ageing populations, global shortages of skilled labour, and migration pathways impacted by the COVID-19 pandemic, retaining older workers presents as a vital strategic initiative for organizations globally. This study examines the role of Human Resource Practices (HRPs), which are oriented towards accommodating the needs of an ageing workforce in mitigating psychological distress and turnover intentions. The study collected self-reported survey data from 300 Australian employees over the age of 45, over two time points. Using structural equation modelling, the study analyzed the extent to which Older Worker-oriented Human Resources Practices (OW-HRPs) translate into employee …


Clinical Epigenomic Explanation Of The Epidemiology Of Cannabinoid Genotoxicity Manifesting As Transgenerational Teratogenesis, Cancerogenesis And Aging Acceleration, Albert Stuart Reece, Gary Kenneth Hulse Feb 2023

Clinical Epigenomic Explanation Of The Epidemiology Of Cannabinoid Genotoxicity Manifesting As Transgenerational Teratogenesis, Cancerogenesis And Aging Acceleration, Albert Stuart Reece, Gary Kenneth Hulse

Research outputs 2022 to 2026

As global interest in the therapeutic potential of cannabis and its’ derivatives for the management of selected diseases increases, it is increasingly imperative that the toxic profile of cannabinoids be thoroughly understood in order to correctly assess the balance between the therapeutic risks and benefits. Modern studies across a number of jurisdictions, including Canada, Australia, the US and Europe have confirmed that some of the most worrying and severe historical reports of both congenital anomalies and cancer induction following cannabis exposure actually underestimate the multisystem thousand megabase-scale transgenerational genetic damage. These findings from teratogenic and carcinogenic literature are supported by …


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 Feb 2023

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 …


Editorial: Untangle The Broad Connections And Tight Interactions Between Human Microbiota And Complex Diseases Through Data-Driven Approaches, Liang Wang, Zuo-Bin Zhu, Li Zhang, Jian Li, Qi Zhao Feb 2023

Editorial: Untangle The Broad Connections And Tight Interactions Between Human Microbiota And Complex Diseases Through Data-Driven Approaches, Liang Wang, Zuo-Bin Zhu, Li Zhang, Jian Li, Qi Zhao

Research outputs 2022 to 2026

It is well-known that microorganisms are ubiquitous in the environment and occupy almost all habitats in animals and humans (Finlay and Clarke, 1999; Rosenberg, 2021). Traditionally, microorganisms are studied as individuals grown in isolation under artificial conditions; however, with the development of experimental techniques and computational methods, microbes are now frequently considered as a functional group in a particular niche and studied at the community level in order to best mimicking the real-world situations (American Academy of Microbiology, 2004). During the study of microbial communities, two terms are commonly used, that is, microbiota and microbiome.


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 Feb 2023

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 Feb 2023

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 …