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Understanding digital capabilities and their impacts on Australian agri-food supply chain resilience: Engineering vs. socio-ecological thinking

Taghikhah, FR Prior, DD Hafezi, R Baker, D Matous, P

Many agri-food supply chains (SCs) are vulnerable to sudden disruptions (i.e., shocks), which can have devastating impacts. SC member firms’ digital capabilities (as routinized and integrated resou...

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Edge-Guided Shallow and Contextual Deep Feature Learning via Bidirectional Attention for Salient Object Detection in Optical Remote Sensing Images

Kanwal, S Waheed, N Rashid, B Alqahtani, N Alqahtani, A

Salient object detection from optical remote sensing images seeks to detect and segment out objects that stand out visually by mimicking human interpretation. Accurately detecting salient objects i...

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Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs

Neshat, M Ahmed, M Askari, H Thilakaratne, M Mirjalili, S

Diagnosing lung inflammation, particularly pneumonia, is of paramount importance for effectively treating and managing the disease. Pneumonia is a common respiratory infection caused by bacteria, v...

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Effective Predictive Modelling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting

Neshat, M Phipps, M Jha, N Khojasteh, D Tong, M Gandomi, AH

Accurately predicting Emergency Department (ED) visits is essential for optimising resource allocation, including staffing adjustments and Operating Room scheduling. Despite the proliferation of AI...

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An effective hyper-parameter can increase the prediction accuracy in a single-step genetic evaluation.

Neshat, M Lee, S Momin, MM Truong, B van der Werf, JHJ Lee, SH

The H-matrix best linear unbiased prediction (HBLUP) method has been widely used in livestock breeding programs. It can integrate all information, including pedigree, genotypes, and phenotypes on b...

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Cross-sectional comparison of risk factors associated with mental illness and learning difficulties in kindergarten and elementary, middle, and high school children in the United States: a socio-ecological resilience framework

Lin, K Sun, J

Aim: Mental illness and learning difficulties in children can be explained using the socio-ecological resilience (SER) model, which states that personal characteristics and an individual’s social r...

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Burden of low birth weight and short gestation from 1990-2021 and projection to 2050: assessment against 2030 malnutrition reduction targets.

Jiang, B Lin, K Buys, N Qi, Y Sun, J

BACKGROUND: Low birth weight (LBW) and short gestation (LBWSG) are defined as birth at a gestational age <38 weeks and at a lower birth weight than the lowest risk weight of 3,500 g. Prematurity an...

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The impact of train accessibility on housing affordability: evidence from COVID-19 and the work-from-home shift

Shi, S Ou, Y Mao, T

This study examines the impact of train accessibility on housing affordability in Sydney, Australia, before, during, and after COVID‑19. Using panel regression and propensity score matching (PSM) t...

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Road traffic attributes prediction using deep learning hybridization by the traffic fundamental diagram

Shafiei, S Zhu, Q Qin, AK Mihaita, SA Grzybowska, H Dia, H

The prediction of road traffic attributes, such as flow, speed, and density, plays a crucial role in traffic management systems. Deep learning (DL) techniques provide an effective way to predict th...

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Changing life expectancy in European countries 1990-2021: a subanalysis of causes and risk factors from the Global Burden of Disease Study 2021.

GBD 2021 Europe Life Expectancy Collaborators,

BACKGROUND: Decades of steady improvements in life expectancy in Europe slowed down from around 2011, well before the COVID-19 pandemic, for reasons which remain disputed. We aimed to assess how ch...

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