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The Tip of the Iceberg: Exploring the Landscape of Policing in a Digitalized World (2024)
Journal Article
Easton, M., de Paepe, J., Aston, L., & Clayton, E. (2024). The Tip of the Iceberg: Exploring the Landscape of Policing in a Digitalized World. European Journal of Policing Studies, 7(1-2), 3-13. https://doi.org/10.5553/ejps.000018

In the ever-evolving landscape of law enforcement, the advent of the digital age has ushered in transformative shifts in police practices. These shifts have sparked scholarly attention and fuelled an increased volume of research dedicated to unravell... Read More about The Tip of the Iceberg: Exploring the Landscape of Policing in a Digitalized World.

“Free Text Is Essentially the Enemy of What We’re Trying to Achieve”: The Framing of a National Vision for Delivering Digital Police Contact (2024)
Journal Article
Wells, H., Andrews, W., Clayton, E., Bradford, B., Aston, E. V., & O’Neill, M. (2024). “Free Text Is Essentially the Enemy of What We’re Trying to Achieve”: The Framing of a National Vision for Delivering Digital Police Contact. European Journal of Policing Studies, 7(1-2), 14-35. https://doi.org/10.5553/ejps.000017

Police organizations in England and Wales, as in many other contexts, are increasingly shifting crime reporting and other public-facing contact online. In this article, we explore the beliefs, motivations and objectives of those tasked with “deliveri... Read More about “Free Text Is Essentially the Enemy of What We’re Trying to Achieve”: The Framing of a National Vision for Delivering Digital Police Contact.

Discrete model for discontinuous dynamic recrystallisation applied to grain structure evolution inside adiabatic shear bands (2024)
Journal Article
Borodin, E., Bushuev, O., Bratov, V., & Jivkov, A. P. (2024). Discrete model for discontinuous dynamic recrystallisation applied to grain structure evolution inside adiabatic shear bands. Journal of Materials Research and Technology, 30, 2125-2139. https://doi.org/10.1016/j.jmrt.2024.03.206

Discontinuous dynamic recrystallisation (DDRX) is a well-known phenomenon playing a significant role in the high-temperature processing of metals, including industrial forming and severe plastic deformations. The ongoing discussion on the Zener–Hollo... Read More about Discrete model for discontinuous dynamic recrystallisation applied to grain structure evolution inside adiabatic shear bands.

Enhancing graduate employability – exploring the influence of experiential simulation learning on life skill development (2024)
Journal Article
Scheuring, F., & Thompson, J. (in press). Enhancing graduate employability – exploring the influence of experiential simulation learning on life skill development. Studies in Higher Education, https://doi.org/10.1080/03075079.2024.2334837

Skills and knowledge which increase the likelihood of university graduates finding employment is an increasingly important factor for higher education institutions. Even though subject matter expertise remains a primary objective, supporting students... Read More about Enhancing graduate employability – exploring the influence of experiential simulation learning on life skill development.

Hybrid Wi-Fi and PLC network for efficient e-health communication in hospitals: a prototype (2024)
Journal Article
Khan, S. U., Ullah Jan, S., Hwang, T., & Koo, I. (2024). Hybrid Wi-Fi and PLC network for efficient e-health communication in hospitals: a prototype. Bulletin of Electrical Engineering and Informatics, 13(2), 1400-1410. https://doi.org/10.11591/eei.v13i2.5309

E-health is being adapted in modern hospitals as a significant addition to the existing healthcare services. To this end, modern hospitals urgently require a mobile, high-capacity, secure, and cost-effective communication infrastructure. In this pape... Read More about Hybrid Wi-Fi and PLC network for efficient e-health communication in hospitals: a prototype.

Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms? (2024)
Journal Article
Anas, M., Saiyeda, A., Sohail, S. S., Cambria, E., & Hussain, A. (2024). Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms?. IEEE Intelligent Systems, 39(2), 5-10. https://doi.org/10.1109/mis.2024.3374582

Recent advances in the context of deep learning have led to the development of generative artificial intelligence (AI) models which have shown remarkable performance in complex language understanding tasks. This study proposes an evaluation of tradit... Read More about Can Generative AI Models Extract Deeper Sentiments as Compared to Traditional Deep Learning Algorithms?.

Spring forth diversity: Specialist species contribute to the conservation value of headwater springs and streams at the landscape scale (2024)
Journal Article
Kabir, J., Biondi, G., Gething, K. J., Aspin, T., Sykes, T., & Stubbington, R. (2024). Spring forth diversity: Specialist species contribute to the conservation value of headwater springs and streams at the landscape scale. River Research and Applications, 40(5), 863-874. https://doi.org/10.1002/rra.4275

Headwater springs and streams often occur in relatively remote areas, reducing their exposure to human influences and thus increasing their collective capacity to support high biodiversity. Their aquatic macroinvertebrate communities can include spec... Read More about Spring forth diversity: Specialist species contribute to the conservation value of headwater springs and streams at the landscape scale.

Pre-Processing-based Fast Design of Multiple EM Structures with One Deep Neural Network (2024)
Journal Article
Wang, P., Li, Z., Luo, C., Wei, Z., Wu, T., Jiang, W., Hong, T., Parchi, N. O., Pedersen, G. F., & Shen, M. (2024). Pre-Processing-based Fast Design of Multiple EM Structures with One Deep Neural Network. IEEE Transactions on Antennas and Propagation, 72(5), https://doi.org/10.1109/tap.2024.3381376

Deep learning plays a vital role in the design of electromagnetic (EM) structures. However, in current research, a single neural network typically supports only one structure design and requires a complex framework to accommodate multiple structure d... Read More about Pre-Processing-based Fast Design of Multiple EM Structures with One Deep Neural Network.

Crop and landscape heterogeneity increase biodiversity in agricultural landscapes: A global review and meta‐analysis (2024)
Journal Article
Priyadarshana, T. S., Martin, E. A., Sirami, C., Woodcock, B. A., Goodale, E., Martínez‐Núñez, C., Lee, M., Pagani‐Núñez, E., Raderschall, C. A., Brotons, L., Rege, A., Ouin, A., Tscharntke, T., & Slade, E. M. (2024). Crop and landscape heterogeneity increase biodiversity in agricultural landscapes: A global review and meta‐analysis. Ecology Letters, 27(3), Article e14412. https://doi.org/10.1111/ele.14412

Agricultural intensification not only increases food production but also drives widespread biodiversity decline. Increasing landscape heterogeneity has been suggested to increase biodiversity across habitats, while increasing crop heterogeneity may s... Read More about Crop and landscape heterogeneity increase biodiversity in agricultural landscapes: A global review and meta‐analysis.

Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks (2024)
Journal Article
Halimu, Y., Zhao, H., Yu, H., Ding, S., & Qiao, S. (online). Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, https://doi.org/10.1177/09596518241236928

This article investigates a Denial-of-Service (DoS) attack problem for nonlinear unknown discrete-time multiagent systems (MASs) to implement bipartite consensus tracking tasks with fixed and switching topologies. Firstly, an equivalent linearization... Read More about Data-based adaptive predictive bipartite consensus for nonlinear multiagent systems against DoS attacks.

PMNet: a multi-branch and multi-scale semantic segmentation approach to water extraction from high-resolution remote sensing images with edge-cloud computing (2024)
Journal Article
Zhang, Z., Liu, Q., Liu, X., Zhang, Y., Du, Z., & Cao, X. (2024). PMNet: a multi-branch and multi-scale semantic segmentation approach to water extraction from high-resolution remote sensing images with edge-cloud computing. Journal of cloud computing: advances, systems and applications, 13(1), Article 76. https://doi.org/10.1186/s13677-024-00637-5

In the field of remote sensing image interpretation, automatically extracting water body information from high-resolution images is a key task. However, facing the complex multi-scale features in high-resolution remote sensing images, traditional met... Read More about PMNet: a multi-branch and multi-scale semantic segmentation approach to water extraction from high-resolution remote sensing images with edge-cloud computing.

Mental health in Ukraine in 2023 (2024)
Journal Article
Martsenkovskyi, D., Shevlin, M., Ben-Ezra, M., Bondjers, K., Fox, R., Karatzias, T., …Hyland, P. (2024). Mental health in Ukraine in 2023. European Psychiatry, 67(1), Article e27. https://doi.org/10.1192/j.eurpsy.2024.12

Background Very little is known about the mental health of the adult population of Ukraine following Russia’s full-scale invasion in February 2022. In this study, we estimated the prevalence of seven mental health disorders, the proportion of adults... Read More about Mental health in Ukraine in 2023.

Application of Randomness for Security and Privacy in Multi-Party Computation (2024)
Journal Article
Saha, R., Kumar, G., Geetha, G., Conti, M., & Buchanan, W. J. (online). Application of Randomness for Security and Privacy in Multi-Party Computation. IEEE Transactions on Dependable and Secure Computing, https://doi.org/10.1109/tdsc.2024.3381959

A secure Multi-Party Computation (MPC) is one of the distributed computational methods, where it computes a function over the inputs given by more than one party jointly and keeps those inputs private from the parties involved in the process. Randomi... Read More about Application of Randomness for Security and Privacy in Multi-Party Computation.

Effect of pulsating flow on flow-induced vibrations of circular and square cylinders in the laminar regime (2024)
Journal Article
Wang, X., Zhang, Z., Shi, K., Zhu, X., Guo, X., Mei, Y., & Kadapa, C. (2024). Effect of pulsating flow on flow-induced vibrations of circular and square cylinders in the laminar regime. Ocean Engineering, 301, Article 117609. https://doi.org/10.1016/j.oceaneng.2024.117609

Through fluid-structure interaction simulations, this study assesses the dynamic response characteristics of elastically mounted circular and square cylinders subjected to pulsating inflow conditions, providing valuable insights int... Read More about Effect of pulsating flow on flow-induced vibrations of circular and square cylinders in the laminar regime.

Translation and validation of the Hungarian version of the Birth Satisfaction Scale-Revised (BSS-R) (2024)
Journal Article
Abrán, H., Kovács, K., Horvát, Z., Erőss, E., Hollins Martin, C. J., & Martin, C. R. (2024). Translation and validation of the Hungarian version of the Birth Satisfaction Scale-Revised (BSS-R). Midwifery, 132, Article 103983. https://doi.org/10.1016/j.midw.2024.103983

Background Evidence relating maternal birth experience to a range of maternal and neonatal outcomes is increasingly compelling. Consequently valid and reliable self-report of birth experience from the mothers perspective is critical. Aim The cur... Read More about Translation and validation of the Hungarian version of the Birth Satisfaction Scale-Revised (BSS-R).

Application of machine learning in predicting frailty syndrome in patients with heart failure (2024)
Journal Article
Szczepanowski, R., Uchmanowicz, I., Pasieczna-Dixit, A. H., Sobecki, J., Katarzyniak, R., Kołaczek, G., Lorkiewicz, W., Kędras, M., Dixit, A., Biegus, J., Wleklik, M., Gobbens, R. J., Hill, L., Jaarsma, T., Hussain, A., Barbagallo, M., Veronese, N., Morabito, F. C., & Kahsin, A. (2024). Application of machine learning in predicting frailty syndrome in patients with heart failure. Advances in Clinical and Experimental Medicine, 33(3), 309-315. https://doi.org/10.17219/acem/184040

Prevention and diagnosis of frailty syndrome (FS) in patients with heart failure (HF) require innovative systems to help medical personnel tailor and optimize their treatment and care. Traditional methods of diagnosing FS in patients could be more sa... Read More about Application of machine learning in predicting frailty syndrome in patients with heart failure.

Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach (2024)
Journal Article
Aydin, E. E., Akcasoy, A., Cakir, F., Cansiz, B. S., Secinti, G., & Canberk, B. (2024). Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach. IEEE Access, 12, 45631-45643. https://doi.org/10.1109/access.2024.3381859

Self-organization is a key strategy for improving the performance of an aerial swarm ad hoc network. The proliferation of low-cost VTOL drones has broadened the application domain of aerial swarms, and the need for synchronized communication among ne... Read More about Distributed TDMA Scheduling for Autonomous Aerial Swarms: A Self-Organizing Approach.

The collaborative use of career information by young people and career advisers: A thematic content analysis of career counselling records (2024)
Journal Article
Milosheva, M., Robertson, P., Cruickshank, P., & Hall, H. (2024). The collaborative use of career information by young people and career advisers: A thematic content analysis of career counselling records. Australian Journal of Career Development, 33(1), 72-81. https://doi.org/10.1177/10384162241232267

This study explores the career information-seeking behaviours of young people and career advisers. These are examined through the interrogation of a secondary data set held by Scotland's national skills agency, Skills Development Scotland. Descriptiv... Read More about The collaborative use of career information by young people and career advisers: A thematic content analysis of career counselling records.

Introduction: Between the Field and the Gallery: Exploring Anthropological Knowledge in South Asia (2024)
Journal Article
Bhattacharyaa, A., Cháirez-Garza, J., & Gould, W. (online). Introduction: Between the Field and the Gallery: Exploring Anthropological Knowledge in South Asia. South Asia: Journal of South Asian Studies, https://doi.org/10.1080/00856401.2024.2326755

This special section brings together the work of historians, anthropologists and museologists, exploring how anthropological and sociological knowledge has been produced, consumed and reproduced in India. In particular, the special section is interes... Read More about Introduction: Between the Field and the Gallery: Exploring Anthropological Knowledge in South Asia.