Applicability of Anisotropic Failure Criteria and Associated Application with Layered Rocks by Wenxue Deng, Tianhong Yang, Honglei Liu, Feiyue Liu, HongLiang Xu

“…This paper examines the applicability of four failure criteria applied to layered rocks, namely, Pariseau’s model, linear empirical equation, nonlinear empirical equation (LEE and NLEE), and Jaeger’s plane-of-weakness model (JPW). …”
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Physiological and behavioral data on active and traditional learning in engineering educationMendeley Data by José Roberto Dale Luche, Claudia Regina de Freitas, Blaha Gregory Correia dos Santos Goussain, Messias Borges Silva

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A Methodology of Real-Time Data Fusion for Localized Big Data Analytics by Sohail Jabbar, Kaleem R. Malik, Mudassar Ahmad, Omar Aldabbas, Muhammad Asif, Shehzad Khalid, Kijun Han, Syed Hassan Ahmed

“…The traditional big-data analytical approaches use data clustering as small buckets while providing distributed computation among different child nodes. …”
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Factors Affecting Single and Multivehicle Motorcycle Crashes: Insights from Day and Night Analysis Using XGBoost-SHAP Algorithm by Panuwat Wisutwattanasak, Chamroeun Se, Thanapong Champahom, Rattanaporn Kasemsri, Sajjakaj Jomnonkwao, Vatanavongs Ratanavaraha

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Application of Enhanced Weighted Least Squares with Dark Background Image Fusion for Inhomogeneity Noise Removal in Brain Tumor Hyperspectral Images by Jiayue Yan, Chenglong Tao, Yuan Wang, Jian Du, Meijie Qi, Zhoufeng Zhang, Bingliang Hu

“…The inhomogeneity of spectral pixel response is an unavoidable phenomenon in hyperspectral imaging, which is mainly manifested by the existence of inhomogeneity banding noise in the acquired hyperspectral data. It must be carried out to get rid of this type of striped noise since it is frequently uneven and densely distributed, which negatively impacts data processing and application. …”
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Using routine surveillance data to estimate the epidemic potential of emerging zoonoses: application to the emergence of US swine origin influenza A H3N2v virus. by Simon Cauchemez, Scott Epperson, Matthew Biggerstaff, David Swerdlow, Lyn Finelli, Neil M Ferguson

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Application of deep learning reconstruction combined with time-resolved post-processing method to improve image quality in CTA derived from low-dose cerebral CT perfusion data by Jiajing Tong, Tong Su, Yu Chen, Xiaobo Zhang, Ming Yao, Yanling Wang, Haozhe Liu, Min Xu, Jian Wang, Zhengyu Jin

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Development of a Clinically Applicable Deep Learning System Based on Sparse Training Data to Accurately Detect Acute Intracranial Hemorrhage from Non-enhanced Head Computed Tomography by Huan-Chih WANG, Shao-Chung WANG, Furen XIAO, Ue-Cheung HO, Chiao-Hua LEE, Jiun-Lin YAN, Ya-Fang CHEN, Li-Wei KO

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Quantitative ¹H and ¹³C NMR and Chemometric Assessment of ¹³C NMR Data: Application to Anabolic Steroid Formulations by Stéphane Balayssac, Gaëtan Assemat, Saïda Danoun, Myriam Malet-Martino, Véronique Gilard

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EMF Assessment Utilizing Low-Cost Mobile Applications by Spyridon Delidimitriou, Dimitrios Babas, Athanasios Manassas, Joe Wiart, Theodoros Samaras

“…In the second part, a linear factor was calculated to convert RSRP values into electric field strength using data from both the application and the exposimeter. …”
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Learning Regionalization Using Accurate Spatial Cost Gradients Within a Differentiable High‐Resolution Hydrological Model: Application to the French Mediterranean Region by Ngo Nghi Truyen Huynh, Pierre‐André Garambois, François Colleoni, Benjamin Renard, Hélène Roux, Julie Demargne, Maxime Jay‐Allemand, Pierre Javelle

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Pengaruh Aplikasi Muzaki Corner Terhadap Minat Masyarakat Berzakat by Muhammad Kambali, Fatur Rahman

“…Data were collected through questionnaires with an accidental sampling technique. …”
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Securable networked scheme with face authentication by Da‐You Huang, Chun‐Liang Lin, Yang‐Yi Chen

“…Abstract Recently, facial recognition has been extensively adopted in various fields. Wide applications are associated with a large amount of data transmission so that edge computing is inspired accordingly. …”
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Development of a data utility framework to support effective health data curation by Neil Sebire, Monica Jones, Caroline Cake, Ben Gordon, Jake Barrett, Clara Fennessy, Adam Milward, Courtney Irwin

“…It is likely to require further refinement following wider application and additional categories may be required.Conclusion The process has resulted in a user-centred designed framework for objectively evaluating the likely utility of specific healthcare datasets, and therefore, should be of value both for potential users of health data, and for data custodians to identify the areas to provide the optimal value for data curation investment.…”
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Multi-replica provable data possession scheme supporting data dynamic updating by Long CHEN, Yu-zhu LUO

“…Considering the application demand of multiple replicas data security and data dynamic update,a multi-replica provable data possession scheme was proposed to supporting data dynamic updating.The original data file can be dynamically updated using dynamic verification structure.The other multiple-replica data files are just append with a log-record for each dynamic update operation.The multi-replica files support public auditability and batch verification.If the original data or any replica is corrupted or missing,it can be recovered to the latest status with another copy.The performances of the communication and storage as well as the security are analyzed.The results show that the scheme is efficient and secure.…”
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Data Deidentification for Data Sharing in Education and Psychological Research: Importance, Barriers, and Techniques by Jeffrey. A. Shero, Alexis E. Swanz, Allyson L. Hanson, Sara A. Hart, Jessica A. R. Logan

“…In this article we discuss the importance of data sharing in education and psychological research, emphasizing the historical context of data sharing, the current open-science movement, and the so-called replication crisis. …”
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Landslide susceptibility assessment in scarce-data regions using remote sensing data by Edier Vicente Aristizábal-Giraldo, Diana Ruiz-Vásquez

“…This study presents the application of remote sensing data and a logistic regression model to assess landslide susceptibility in a basin on a remote terrain in the northern Colombian Andes, where a rainstorm on May 18th, 2015, triggered more than 40 landslides and an associated debris flow afterwards. …”
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Data Augmentation by Synthesizing IMU Data of Physiotherapeutic Exercises using Musculoskeletal Models by Andreas Spilz, Michael Munz

“…Future work will focus on refining the synthesis process to ensure a broader applicability to various exercises. This research contributes to advancing automated physiotherapeutic exercise evaluation, highlighting the importance of synthetic data in achieving better performing and more generalizable models.…”
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Research on Strengthen the Development and Utilization of Geospatial Data to Release the Value of Data Elements by H. Li, H. Li, H. Li, H. Li, W. Huang, Y. Xu, W. Zhao, X. Zheng, J. Yang

“…On the other hand, it is necessary to deepen the application and innovation of geospatial data to enhance the security of geospatial data. …”
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Research on data management technology of shearer based on protocol matching and data compression by Zhongbin WANG, Dong WEI, Lei SI, Chaoquan LIANG, Chao TAN, Yihui ZHAO

“…The application effect of shearer remote monitoring system is seriously affected by the suitability of the communication protocol and the capacities for the transmission and storage of the monitoring data. …”
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