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Epitaxial growth of excitonic single crystals and heterostructures: Oxides and nitrides (2024)
Journal Article
Rajpoot, P., Ghosh, A., Kaur, A., Arora, S., Henini, M., Dhar, S., & Chattopadhyay, S. (2024). Epitaxial growth of excitonic single crystals and heterostructures: Oxides and nitrides. MRS Bulletin, 49(9), 885-898. https://doi.org/10.1557/s43577-024-00760-3

Excitons in a semiconductor are Coulomb interaction-bound pairs of excited electrons in the conduction band and holes in the valence band, which can either be free bosonic particles with well-defined integer spins, called the free excitons or bound a... Read More about Epitaxial growth of excitonic single crystals and heterostructures: Oxides and nitrides.

Pollutant cross-transmission in courtyard buildings: Wind tunnel experiments and computational fluid dynamics (CFD) evaluation (2024)
Journal Article
Sun, H., Owen, J. S., Almazmumi, S., Liu, C., Mohammadi, M., Dik, A., Jimenez-Bescos, C., & Calautit, J. K. (2024). Pollutant cross-transmission in courtyard buildings: Wind tunnel experiments and computational fluid dynamics (CFD) evaluation. Building and Environment, 264, Article 111919. https://doi.org/10.1016/j.buildenv.2024.111919

Courtyards, a historical architectural feature surrounded by buildings, are common in urban housing and residential complexes. These spaces, often open-air and with rooms facing them, are crucial for daylight and natural ventilation. While courtyards... Read More about Pollutant cross-transmission in courtyard buildings: Wind tunnel experiments and computational fluid dynamics (CFD) evaluation.

Gase: graph attention sampling with edges fusion for solving vehicle routing problems (2024)
Journal Article
Wang, Z., Bai, R., Khan, F., Özcan, E., & Zhang, T. (2024). Gase: graph attention sampling with edges fusion for solving vehicle routing problems. Memetic Computing, 16(3), 337–353. https://doi.org/10.1007/s12293-024-00428-0

Learning-based methods have become increasingly popular for solving vehicle routing problems (VRP) due to their near-optimal performance and fast inference speed. Among them, the combination of deep reinforcement learning and graph representation all... Read More about Gase: graph attention sampling with edges fusion for solving vehicle routing problems.

The PI3Kδ inhibitor zandelisib on intermittent dosing in relapsed/refractory follicular lymphoma: Results from a global phase 2 study (2024)
Journal Article
Zelenetz, A. D., Jurczak, W., Ribrag, V., Linton, K., Collins, G. P., Jiménez, J. L., Bishton, M., Dholaria, B., Mengarelli, A., Phillips, T. J., Sungala, N., Musuraca, G., Sheehy, O., Van Den Neste, E., Odera, M., Miao, L., Gold, D. P., Ghalie, R. G., & Zinzani, P. L. (2024). The PI3Kδ inhibitor zandelisib on intermittent dosing in relapsed/refractory follicular lymphoma: Results from a global phase 2 study. HemaSphere, 8(8), Article e138. https://doi.org/10.1002/hem3.138

In this global phase 2 study in patients with relapsed/refractory follicular lymphoma (FL), zandelisib was administered on intermittent dosing to mitigate immune‐related adverse events and infections that have been reported with oral PI3Kδ inhibitors... Read More about The PI3Kδ inhibitor zandelisib on intermittent dosing in relapsed/refractory follicular lymphoma: Results from a global phase 2 study.

Visual Management in Collaboration (2024)
Book Chapter
Tezel, A., Demirkesen, S., Pedó, B., & Brandalise, . F. (2024). Visual Management in Collaboration. In S. Moradi, K. Kahkonen, L. Koskela, O. Jonny Klakegg, & K. Aaltonen (Eds.), Routledge Handbook of Collaboration in Construction. Taylor & Francis (Routledge). https://doi.org/10.1201/9781003379553

Collaboration is of utmost importance for dynamic and complex environments with multiple interfaces and interdependencies between system elements and humans. Collaboration enables effectively working systems where many people provide timely feedback,... Read More about Visual Management in Collaboration.

Topical anti-inflammatory treatments for eczema: network meta-analysis (2024)
Journal Article
Lax, S. J., Van Vogt, E., Candy, B., Steele, L., Reynolds, C., Stuart, B., Parker, R., Axon, E., Roberts, A., Doyle, M., Chu, D. K., Futamura, M., Santer, M., Williams, H. C., Cro, S., Drucker, A. M., & Boyle, R. J. (2024). Topical anti-inflammatory treatments for eczema: network meta-analysis. Cochrane Database of Systematic Reviews, 2024(8), Article CD015064. https://doi.org/10.1002/14651858.CD015064.pub2

BackgroundEczema (atopic dermatitis) is the most burdensome skin condition worldwide and cannot currently be prevented or cured. Topical anti-inflammatory treatments are used to control eczema symptoms, but there is uncertainty about the relative eff... Read More about Topical anti-inflammatory treatments for eczema: network meta-analysis.

Foreign direct investment and technology licensing in a polluting industry (2024)
Journal Article
Cao, J., & Mukherjee, A. (2024). Foreign direct investment and technology licensing in a polluting industry. Environmental and Resource Economics, https://doi.org/10.1007/s10640-024-00886-7

We consider a firm's incentive for foreign direct investment (FDI) and international technology licensing in a polluting industry. We explain the rationale and the welfare implications of complementarity between FDI and licensing, i.e., the firm's st... Read More about Foreign direct investment and technology licensing in a polluting industry.

Bonferroni-Type Tests for Return Predictability with Possibly Trending Predictors (2024)
Journal Article
Astill, S., Harvey, D. I., Leybourne, S. J., & Robert Taylor, A. M. (in press). Bonferroni-Type Tests for Return Predictability with Possibly Trending Predictors. Journal of Applied Econometrics,

The Bonferroni Q test of Campbell and Yogo (2006) is widely used in empirical studies investigating predictability in asset returns by strongly persistent and endogenous predictors. Its formulation, however, only allows for a constant mean in the pre... Read More about Bonferroni-Type Tests for Return Predictability with Possibly Trending Predictors.

A High Capacity Gas Diffusion Electrode for Li–O2 Batteries (2024)
Journal Article
Jenkins, M., Dewar, D., Lagnoni, M., Yang, S., Rees, G. J., Bertei, A., Johnson, L. R., Gao, X., & Bruce, P. G. (2024). A High Capacity Gas Diffusion Electrode for Li–O2 Batteries. Advanced Materials, https://doi.org/10.1002/adma.202405715

The very high theoretical specific energy of the lithium–air (Li–O2) battery (3500 Wh kg−1) compared with other batteries makes it potentially attractive, especially for the electrification of flight. While progress has been made in realizing the Li–... Read More about A High Capacity Gas Diffusion Electrode for Li–O2 Batteries.

Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance (2024)
Journal Article
Cruces, G., Tortarolo, D., & Vazquez-Bare, G. (in press). Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance. Review of Economics and Statistics,

We develop a framework to analyze partial population experiments, a generalization of the cluster experimental design where clusters are assigned to different treatment intensities. Our framework allows for heterogeneity in cluster sizes and outcome... Read More about Design of Partial Population Experiments with an Application to Spillovers in Tax Compliance.

Deep NURBS—admissible physics-informed neural networks (2024)
Journal Article
Saidaoui, H., Espath, L., & Tempone, R. (2024). Deep NURBS—admissible physics-informed neural networks. Engineering with Computers, https://doi.org/10.1007/s00366-024-02040-9

In this study, we propose a new numerical scheme for physics-informed neural networks (PINNs) that enables precise and inexpensive solutions for partial differential equations (PDEs) in case of arbitrary geometries while strongly enforcing Dirichlet... Read More about Deep NURBS—admissible physics-informed neural networks.

Nine months of daily LiDAR, orthophotos and MetOcean data from the eroding soft cliff coast at Happisburgh, UK (2024)
Journal Article
Pennington, C., Shaw, M., Brooks, T., Briganti, R., Gómez-Pazo, A., Ruffini, G., Appleton, M., & Payo, A. (2024). Nine months of daily LiDAR, orthophotos and MetOcean data from the eroding soft cliff coast at Happisburgh, UK. Scientific Data, 11, Article 846. https://doi.org/10.1038/s41597-024-03499-3

The dynamic interaction between cliff, beach and shore-platform is key to assessing the sediment balance for coastal erosion risk assessments, but this is poorly understood. We present a dataset containing daily, 3D, colour LiDAR scans of a 450 m coa... Read More about Nine months of daily LiDAR, orthophotos and MetOcean data from the eroding soft cliff coast at Happisburgh, UK.

Association of serum biomarkers with radiographic knee osteoarthritis, knee pain and function in a young, male, trauma-exposed population – findings from the ADVANCE study (2024)
Journal Article
O'Sullivan, O., Stocks, J., Schofield, S., Bilzon, J., Boos, C. J., Bull, A. M., Fear, N. T., Watt, F. E., Bennett, A. N., Kluzek, S., & Valdes, A. M. (2024). Association of serum biomarkers with radiographic knee osteoarthritis, knee pain and function in a young, male, trauma-exposed population – findings from the ADVANCE study. Osteoarthritis and Cartilage, https://doi.org/10.1016/j.joca.2024.07.016

Objective: The ArmeD SerVices TrAuma RehabilitatioN OutComE (ADVANCE) study is investigating long-term combat-injury outcomes; this sub-study aims to understand the association of osteoarthritis (OA) biomarkers with knee radiographic OA (rOA), pain a... Read More about Association of serum biomarkers with radiographic knee osteoarthritis, knee pain and function in a young, male, trauma-exposed population – findings from the ADVANCE study.

High-Efficiency NO conversion via In-Situ grown covalent organic framework on g-C3N4 nanosheets with Single-Atom platinum photocatalyst (2024)
Journal Article
Xiao, Z., Yusuf, A., Ren, Y., Zheng Chen, G., Wang, C., & He, J. (2024). High-Efficiency NO conversion via In-Situ grown covalent organic framework on g-C3N4 nanosheets with Single-Atom platinum photocatalyst. Chemical Engineering Journal, 497, Article 154487. https://doi.org/10.1016/j.cej.2024.154487

This study presents a chemically bonded Pt/TP-BPY-CN/g-C3N4 composite photocatalyst created through an in-situ growth method via Schiff base reaction between g-C3N4 and aldehyde-functionalized TP-BPY-COF. The −H-C-N-H- bonds formed at the g-C3N4 and... Read More about High-Efficiency NO conversion via In-Situ grown covalent organic framework on g-C3N4 nanosheets with Single-Atom platinum photocatalyst.

An analytical model for wrinkle-free forming of composite laminates (2024)
Journal Article
Trenam, A., Aza, C., Jones, C., Lawrence, G., Harper, L., Rhead, A., Loukaides, E. G., & Butler, R. (2024). An analytical model for wrinkle-free forming of composite laminates. Composites Part A: Applied Science and Manufacturing, 186, Article 108386. https://doi.org/10.1016/j.compositesa.2024.108386

Double Diaphragm Forming (DDF) of 3D shapes significantly increases production rates for laminated composite parts when compared with Automated Fibre Placement. However, it is prone to the occurrence of wrinkling defects, which can lead either to con... Read More about An analytical model for wrinkle-free forming of composite laminates.

Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks (2024)
Presentation / Conference Contribution
Gopikrishnan, S., Kokila, M., Rivera, M., & Wheeler, P. (2024, January). Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks. Presented at 5th International Conference on Advances in Distributed Computing and Machine Learning (ICADCML)-2024, VIT-AP University, India

Internet of Things (IoT) is a life changing technology which is build on various devices which are connected to the Internet. Wireless sensor nodes (WSN) is one of such devices which plays a major role in deploying IoT in large scale of real-time eve... Read More about Energy Harvesting Integrated Sensor Node Architecture for Sustainable IoT Networks.

Investigation on a class of 2D profile amplified stroke dielectric elastomer actuators (2024)
Journal Article
Wang, X., Raimondi, L., Axinte, D., & Dong, X. (2024). Investigation on a class of 2D profile amplified stroke dielectric elastomer actuators. Journal of Mechanisms and Robotics, 1-32. https://doi.org/10.1115/1.4066131

Dielectric elastomer actuators (DEAs) have been widely studied in soft robotics due to their muscle-like movements. Linear DEAs are typically tensioned using compression springs with positive stiffness or weights directly attached to the flexible fil... Read More about Investigation on a class of 2D profile amplified stroke dielectric elastomer actuators.