University of Nottingham Ningbo China Showcase

Data, results for Likert-type questionnaire asking higher education students to identify the 21st century skills they used during board games sessions.

Data and Codes

CuO-ZnO-ZrO2 catalyst attracted significant attentions for CO2 hydrogenation to methanol. Gyroid-based triply period minimal surface lattice structures feature highly ordered porous networks, which could be used to enhance catalytic performance and efficiency. This paper presents a formulating and one-step calcination strategy that united the removal of polymer resin and calcination of catalyst precursor at one temperature. This enabled 3D printing gyroid-structured CuO-ZnO-ZrO2 catalyst for CO2 hydrogenation while minimizing the impact of overheating on the catalyst performance. A photocurable formulation loaded with CuO-ZnO-ZrO2 precursor was developed. Using the optimized formulation, gyroid structures with varying pore sizes were successfully printed and calcinated. The optimal lattice wall thickness that balances porosity and structural stability was identified. The results indicate that the resin used for 3D printing was successfully removed at lower temperature and catalytic activity of the 3D-printed structured catalyst was retained through the one-step calcination process while the gyroid lattice geometry can enhance catalytic efficiency than cylindrical structure

Utilizing the "Finance and Taxation [2018] No.70" document issued by the Chinese government in 2018 as an instrumental quasi-natural experiment, this paper employs a difference-in-differences (DID) methodology to investigate the influence of the value-added tax refund policy (VATRP) on corporate financial fraud. Empirical results robustly indicate that VATRP markedly curtails corporate financial fraud, a finding that endures a series of rigorous robustness checks, including a placebo test, propensity score matching, parallel trend analysis, and considerations of the sample time frame. The mechanism analysis shows that VATRP mitigates corporate financial fraud by alleviating motivational pressures, reducing opportunistic avenues, and negating rationalizations effectively addressing the three foundational components of the fraud triangle. Further examinations reveal that the suppressive effects of VATRP are particularly significant among high-tech and private capital holding firms. Theoretically, this paper enriches the discourse on VATRP by linking it to corporate financial decision-making, thereby broadening the scope of existing literature. Practically, it provides substantive policy recommendations, suggesting how governments could strategically implement fiscal policies to curb corporate malfeasance.

dataset for YOLOv8 based dead fish UAV detection in aquaculture

The dataset of the paper "Integrating 3D Printed Grinding Tools and Closed-Loop Temperature Management for Optimal Surgical Outcomes".

Boosting the Vat Photopolymerization Fidelity through a Machine Learning based Boundary Prediction

The Replication Folder provides the data and codes necessary to replicate the results presented in our paper. For detailed instructions, please refer to the "readme" document included in the folder.

single nozzle based multi-material direct ink writing

-Raw data in Excel evidencing ‘disciplines’ as part of classroom heterogeneity in the researched differentiation instruction, and two post-instruction analysed conference abstracts (CAs) depicting discipline-specific move and linguistic features (File #1-2). -Analysed data in Excel comprising the utilisation of ‘disciplines’ as a basis for differentiated instruction in classroom activities (File #3-4). -Analysed methodological representation of the process of learner mental alteration of existing internal linguistic structures to accommodate inputted disciplinary linguistic structures for CA writing outcomes (File #5). -Raw data encompassing strategies for disciplinary differentiation observed in the video-recorded instruction (File #6). -Processed mean, standard deviation, t test and effect size of the compared pre- and post-instruction CA marks, in Excel (File #7-12).