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Important notice
After careful consideration, Elsevier has decided to discontinue Data Monitor. After 30 June 2025, this solution will no longer be available for use. We notified your institution during the sunset process but understand that as a user this announcement may come as a surprise. We understand that this decision may impact your workflows, and we sincerely apologize for any inconvenience this may cause.
Mendeley Data: While you will no longer be able to see federated search results from external repositories, as previously provided by Data Monitor, please be aware that Mendeley Data will continue to return search results from all datasets uploaded to the repository. Our users can expect additions to search functionality and enhancements to make the overall experience more user friendly, while all non-federated search features will remain the same. We are interested in exploring additional opportunities for federated search in the future.
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  • Appendix for Achievement Emotions of Elementary and Middle School Students in Online Learning Settings
    Appendix A: The online learning experience questionnaire assesses student experiences with online mathematics learning. It covers basic demographics, technology proficiency, value and control appraisals, effort beliefs, and academic goals on a Five-Point Likert Scale. Appendix B: This document details the correlation coefficients among key constructs affecting online learning outcomes, including grade, school tier, technology efficacy, appraisals, goals, and effort beliefs, with significance levels marked by asterisks.
    • Dataset
  • EVAL3Di supplementary
    Supplementary tables and figures for the article entitled “Remote Evaluation of General Skin Diseases using 3D Total Body Photography: An Observer Agreement Study”
    • Dataset
  • Bibliometrics of sustainable rural tourism
    This dataset contains records on sustainable rural tourism exported from Web of Science in plain text format.
    • Dataset
  • production cycle
    The production cycle of this research process requires 76 hours; while the production cycle of the traditional solid fermentation process is 361.5 hours.
    • Dataset
  • Analyzing Enterprise Asset Structure and Management Capability Using Cloud Computing and Industrial Enterprise Financial Accounting Cost Accounting Methods
    This study aims to investigate the integration of cloud computing technology within the financial cost accounting framework of industrial enterprises to enhance asset structure and management capabilities. It addresses critical challenges, including low accuracy, inefficiency, and data leakage prevalent in enterprise financial cost accounting. The study proposes a multi-user cloud financial data privacy protection and classification model based on Support Vector Machine (SVM) techniques. Initially, the model preprocesses financial data and employs a distributed two-trapdoors public-key cryptosystem (DT-PKC) for encryption, ensuring secure data uploads to the cloud platform. Subsequently, it manages multi-user keys via a trusted third-party key distribution center, thereby reducing communication costs and enhancing privacy protection. The SVM model is then extended into the encrypted domain, utilizing user public keys to safeguard sensitive information from leakage. Finally, the model trains and predicts on encrypted data using SVM, returning the results to the enterprise for decryption and informed decision-making. Performance analysis reveals that the proposed algorithm demonstrates significant improvements in financial data processing efficiency (with a runtime enhancement exceeding 10%) and accuracy (exceeding 95%) when compared to the baseline K-Nearest Neighbors (KNN) algorithm, while maintaining communication overhead below 200Kb. Consequently, this model markedly enhances the efficiency and accuracy of financial data processing, thereby strengthening enterprise asset structure and management capabilities.
    • Dataset
  • Evolution of Giant Exchange Bias with Ferromagnetic Ordering and Robust Memory Effect by Strain Engineering MoS2 in Weak Antiferromagnetic Gating
    this data is the result of the work on NiOOH layered on MoS2 surface as highly exchange bias with memory effect
    • Dataset
  • Woodcock habitat selection data and scripts
    Data tables and habitat selection modelling analysis scripts for GPS tracking data for 43 non-breeding Eurasian woodcock (Scolopax rusticola) in Ireland.
    • Dataset
  • Cyclic Response Characteristics of SCC Extended End-Plate Reduced Web Section (RWS) Connections
    A total of 285 parametric FE models were developed for RWS connections with various configurations. Three additional FE models of solid-webbed connections (without web openings) were developed for comparison. Three parameters were selected to investigate the effect of the presence of composite action to the plastic zone (i.e., web opening) on the performance of a steel-concrete composite bolted extended end-plate RWS connection subjected to cyclic loading. This study aims to address the extant knowledge gap regarding the cyclic response characteristics of RWS connections with composite slabs by comprehensively analysing the findings of parametric investigation to promote the use of RWS connections in MRFs in seismic areas. In this study, the end-distance, S_o, complies with SCI-P355 which specifies the minimum width of the end-post, from the column face to the edge of the web opening. Accordingly, the FE models with a web opening diameter d_o of 50% of the beam’s depth (h) start with an end-distance S_o equal to 50% of h to comply with SCI-P355. Similarly, for FE models with d_o= 0.55h, start with S_o is equal to 0.55h. This guide applies to all different diameters considered in the study. The presence and absence of bolted shear studs above the web opening was used to classify the specimens as having high (H) or low (L) composite action, respectively, according to EC8-1 clause 7.7.5 and ANSI/AISC 358-16. The steel elements and concrete slab were kept the same as in the experimental test in terms of dimensions and material grades.
    • Dataset
  • LINF_180019900
    Calcium-binding domain-containing protein | FAZ34; Leishmania infantum (strain JPCM5)
    • Dataset
  • Bio data
    This data is for ethical leadership and academic staff organizational commitment
    • Dataset
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