All Outputs (334)

Intrinsic and extrinsic variables impacting upper quarter Y-balance test scores in sporting cohorts: A systematic review (2024)
Journal Article
Steele, C., & Valentin, S. (2024). Intrinsic and extrinsic variables impacting upper quarter Y-balance test scores in sporting cohorts: A systematic review. Journal of Bodywork and Movement Therapies, 39, 183-194. https://doi.org/10.1016/j.jbmt.2024.02.043

Introduction The upper quarter y-balance test (YBT-UQ) is a functional screening tool used to detect musculoskeletal injury risk, aid rehabilitation, and monitor dynamic function, strength and control, yet little is currently known about intrinsic a... Read More about Intrinsic and extrinsic variables impacting upper quarter Y-balance test scores in sporting cohorts: A systematic review.

SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT (2024)
Journal Article
Alshehri, M. S., Ahmad, J., Almakdi, S., Qathrady, M. A., Ghadi, Y. Y., & Buchanan, W. J. (2024). SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT. IEEE Access, 12, https://doi.org/10.1109/access.2024.3371992

The rise of Internet of Things (IoT) has led to increased security risks, particularly from botnet attacks that exploit IoT device vulnerabilities. This situation necessitates effective Intrusion Detection Systems (IDS), that are accurate, lightweigh... Read More about SkipGateNet: A Lightweight CNN-LSTM Hybrid Model with Learnable Skip Connections for Efficient Botnet Attack Detection in IoT.

Evaluation of a pilot online education program to develop midwives’ knowledge, skill and confidence in perinatal mental health in rural South Australia (2024)
Journal Article
McKellar, L., Martinez, L., De Sousa Machado, T., Eden, A., Stoodley, C., & Adelson, P. (2024). Evaluation of a pilot online education program to develop midwives’ knowledge, skill and confidence in perinatal mental health in rural South Australia. Women and Birth, 37(2), 355-361. https://doi.org/10.1016/j.wombi.2023.11.005

One in five women will experience perinatal anxiety and/or depression. In South Australia, a rural health service identified a high proportion of women with risk of perinatal mental health challenges and sought additional education for midwives. In r... Read More about Evaluation of a pilot online education program to develop midwives’ knowledge, skill and confidence in perinatal mental health in rural South Australia.

Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT (2024)
Journal Article
Wang, X., Zhang, H., Wu, H., & Yu, H. (online). Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT. Blockchain: Research and Applications, Article 100195. https://doi.org/10.1016/j.bcra.2024.100195

Federated Learning (FL) allows data owners to train neural networks together without sharing local data, allowing the Industrial Internet of Things (IIoT) to share a variety of data. However, traditional federated learning frameworks suffer from data... Read More about Dual-blockchain based multi-layer grouping federated learning scheme for heterogeneous data in industrial IoT.

Considering Environmental Effects on Porous Concrete Applications: An Experimental Investigation (2024)
Journal Article
Marinelli, A., & Rasheed, L. P. H. (2024). Considering Environmental Effects on Porous Concrete Applications: An Experimental Investigation. Procedia Structural Integrity, 54, 332-339. https://doi.org/10.1016/j.prostr.2024.01.091

Urban areas worldwide grapple with ecological disruption due to overpopulation, exacerbated by impermeable concrete surfaces that hinder rainwater absorption, curb plant growth and foster urban heat islands. Innovative porous concrete applications we... Read More about Considering Environmental Effects on Porous Concrete Applications: An Experimental Investigation.

Women's Experiences with Cervical Cancer in Ghana (2024)
Journal Article
Dzando, G., Yabila, S., Kumah, A., Hukporti, N., Asante, D., Nwokonna, C., & Awiagah, S. K. (2024). Women's Experiences with Cervical Cancer in Ghana. Journal of Medicine, Surgery, and Public Health, 2, Article 100076. https://doi.org/10.1016/j.glmedi.2024.100076

Cervical cancer remains a significant global public health concern, and its impact in low- and middle-income countries, including Ghana is profound. Existing policies in Ghana focus on early screening and diagnosis. While the primar... Read More about Women's Experiences with Cervical Cancer in Ghana.

Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations (2024)
Journal Article
Bonet-Jara, J., Fernandez-Cavero, V., Vedreno-Santos, F., Morinigo-Sotelo, D., & Pons-Llinares, J. (2024). Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations. IEEE Transactions on Industry Applications, 60(3), 3903-3911. https://doi.org/10.1109/tia.2024.3371393

Induction motors work under steady-state in many applications. Nevertheless, in some cases they experience periodic load fluctuations, which generate constant frequency harmonics close to variable frequency bar breakage harmonics. In these cases, tim... Read More about Very Accurate Time-Frequency Representation of Induction Motors Harmonics for Fault Diagnosis Under Load Variations.

Correlates of Posttraumatic Stress Disorder in the Aftermath of the February 2023 Earthquake in Turkey (2024)
Journal Article
Han Alpay, E., Redican, E., Hyland, P., Karatzias, T., & Shevlin, M. (online). Correlates of Posttraumatic Stress Disorder in the Aftermath of the February 2023 Earthquake in Turkey. Journal of Loss and Trauma, https://doi.org/10.1080/15325024.2024.2314306

On February 6, 2023, an earthquake registering 7.8 on the Richter scale struck southeast Turkey, and this was followed by a second earthquake of magnitude 7.5. The earthquake resulted in widespread loss, devastation, and destruction, and is anticipat... Read More about Correlates of Posttraumatic Stress Disorder in the Aftermath of the February 2023 Earthquake in Turkey.

ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption (2024)
Journal Article
Jiang, D., Tsafack, N., Boulila, W., Ahmad, J., & Barba-Franco, J. (in press). ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption. Expert Systems with Applications, 236, Article 121378. https://doi.org/10.1016/j.eswa.2023.121378

Recent advances in intelligent wearable devices have brought tremendous chances for the development of healthcare monitoring system. However, the data collected by various sensors in it are user-privacy-related information. Once the individuals’ priv... Read More about ASB-CS: Adaptive sparse basis compressive sensing model and its application to medical image encryption.

Riding waves to improve functioning: a quantitative evaluation of a Surf Week in individuals with chronic phase brain injury with six months follow-up (2024)
Journal Article
Denneman, R. P. M., van Bezeij, T., Kal, E. C., Marshall, J., & Pisters, M. F. (online). Riding waves to improve functioning: a quantitative evaluation of a Surf Week in individuals with chronic phase brain injury with six months follow-up. Disability and Rehabilitation, https://doi.org/10.1080/09638288.2024.2320265

Purpose Environmental enrichment seems to enable people in the chronic phase of acquired brain injury (ABI) to experience new functional abilities and motor/coping strategies and consequently to become more adaptable which might prevent/reverse func... Read More about Riding waves to improve functioning: a quantitative evaluation of a Surf Week in individuals with chronic phase brain injury with six months follow-up.

A systematic review and Bayesian meta-analysis assessing intelectin-1 in cancer patients and healthy individuals (2024)
Journal Article
Paval, D. R., Di Virgilio, T. G., Skipworth, R. J. E., & Gallagher, I. J. (2024). A systematic review and Bayesian meta-analysis assessing intelectin-1 in cancer patients and healthy individuals. Frontiers in Oncology, 14, Article 1198555. https://doi.org/10.3389/fonc.2024.1198555

Background: Intelectin-1 (ITLN1) is an adipokine with multiple physiological functions, including a role in tumour formation and development. Previous research reported variable ITLN1 levels for cancer patients and healthy individuals. This study aim... Read More about A systematic review and Bayesian meta-analysis assessing intelectin-1 in cancer patients and healthy individuals.

The barometer of moral distress in midwifery: A pilot study (2024)
Journal Article
Foster, W., McKellar, L., Fleet, J., Creedy, D., & Sweet, L. (2024). The barometer of moral distress in midwifery: A pilot study. Women and Birth, 37(3), Article 101592. https://doi.org/10.1016/j.wombi.2024.101592

Background Moral distress is a phenomena that occurs following a compromise to moral beliefs. Moral distress has been reported across health professions, including midwifery. Although there are validated tools to assess for moral distress, none have... Read More about The barometer of moral distress in midwifery: A pilot study.

The retailer perspective on the potential for using urban consolidation centres (UCCs) (2024)
Journal Article
Akgün, E. Z., Monios, J., Cowie, J., & Fonzone, A. (2024). The retailer perspective on the potential for using urban consolidation centres (UCCs). Research in Transportation Economics, 103, Article 101413. https://doi.org/10.1016/j.retrec.2024.101413

This paper examines the role of supportive policies and value-added services which may incentivise retailers to use an urban consolidation centre (UCC). The methodology is a case study of the city of Edinburgh, Scotland, based on semi-structured inte... Read More about The retailer perspective on the potential for using urban consolidation centres (UCCs).

Impact of board diversity on Chinese firms’ cross-border M&A performance: An artificial intelligence approach (2024)
Journal Article
Ding, S., Du, M., Cui, T., Zhang, Y., & Duygun, M. (2024). Impact of board diversity on Chinese firms’ cross-border M&A performance: An artificial intelligence approach. International Review of Economics and Finance, 92, 1321-1335. https://doi.org/10.1016/j.iref.2024.02.077

In this paper, we examine the impact of board demographic characteristics on Chinese firms’ cross-border Mergers and Acquisition (M&A) performance, especially the gender diversity of the board composition. We unveil that female board proportion exhib... Read More about Impact of board diversity on Chinese firms’ cross-border M&A performance: An artificial intelligence approach.

Hate speech detection: A comprehensive review of recent works (2024)
Journal Article
Gandhi, A., Ahir, P., Adhvaryu, K., Shah, P., Lohiya, R., Cambria, E., Poria, S., & Hussain, A. (2024). Hate speech detection: A comprehensive review of recent works. Expert Systems, 41(8), Article e13562. https://doi.org/10.1111/exsy.13562

There has been surge in the usage of Internet as well as social media platforms which has led to rise in online hate speech targeted on individual or group. In the recent years, hate speech has resulted in one of the challenging problems that can unf... Read More about Hate speech detection: A comprehensive review of recent works.

Event-Triggered Relearning Modeling Method for Stochastic System with Non-Stationary Variable Operating Conditions (2024)
Journal Article
Liu, J., Zhang, Y., Zhou, Y., & Chen, J. (2024). Event-Triggered Relearning Modeling Method for Stochastic System with Non-Stationary Variable Operating Conditions. Mathematics, 12(5), Article 667. https://doi.org/10.3390/math12050667

This study presents a novel event-triggered relearning framework for neural network modeling, designed to improve prediction precision in dynamic stochastic complex industrial systems under non-stationary and variable conditions. Firstly, a sliding w... Read More about Event-Triggered Relearning Modeling Method for Stochastic System with Non-Stationary Variable Operating Conditions.

Consumers’ reaction to sci-fi as a source of information for technological development: An empirical analysis (2024)
Journal Article
Messeni Petruzzelli, A., Mora, L., Natalicchio, A., Platania, F., & Toscano Hernandez, C. (2024). Consumers’ reaction to sci-fi as a source of information for technological development: An empirical analysis. Technovation, 132, Article 102970. https://doi.org/10.1016/j.technovation.2024.102970

Science fiction (sci-fi) creative products inspire individuals by envisioning alternative futures and imaginary technological development. The stimuli conveyed by sci-fi creative products can trigger consumers' interest, which nowadays translate into... Read More about Consumers’ reaction to sci-fi as a source of information for technological development: An empirical analysis.

Solar Wall Technology and Its Impact on Building Performance (2024)
Journal Article
Ghamari, M., & Sundaram, S. (2024). Solar Wall Technology and Its Impact on Building Performance. Energies, 17(5), Article 1075. https://doi.org/10.3390/en17051075

Solar walls provide transformative solutions by harnessing solar energy to generate electricity, improve thermal comfort, and reduce energy consumption and emissions, contributing to zero-energy buildings and mitigating climate change. In hot and hum... Read More about Solar Wall Technology and Its Impact on Building Performance.

Toward a Real-Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro-Fuzzy Classifier and SDN Assistance in Fog Computing (2024)
Journal Article
Bensaid, R., Labraoui, N., Abba Ari, A. A., Maglaras, L., Saidi, H., Abdu Lwahhab, A. M., & Benfriha, S. (2024). Toward a Real-Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro-Fuzzy Classifier and SDN Assistance in Fog Computing. Security and Communication Networks, 2024, Article 6651584. https://doi.org/10.1155/2024/6651584

The growth of the Internet of Things (IoT) has recently impacted our daily lives in many ways. As a result, a massive volume of data are generated and need to be processed in a short period of time. Therefore, a combination of computing models such a... Read More about Toward a Real-Time TCP SYN Flood DDoS Mitigation Using Adaptive Neuro-Fuzzy Classifier and SDN Assistance in Fog Computing.

BBox-Free SAR Ship Instance Segmentation Method Based on Gaussian Heatmap (2024)
Journal Article
Gao, F., Zhong, F., Sun, J., Hussain, A., & Zhou, H. (2024). BBox-Free SAR Ship Instance Segmentation Method Based on Gaussian Heatmap. IEEE Transactions on Geoscience and Remote Sensing, 62, Article 5206218. https://doi.org/10.1109/tgrs.2024.3369614

Recently, deep learning methods have been widely adopted for ship detection in synthetic aperture radar (SAR) images. However, many of the existing methods miss adjacent ship instances when detecting densely arranged ship targets in inshore scenes. B... Read More about BBox-Free SAR Ship Instance Segmentation Method Based on Gaussian Heatmap.