National Health Insurance Data as a Research Tool in Korean Medicine: a guide to database utilization and methodological approaches by Chan-Young Kwon, Il-Su Park

“…Conclusion: For effective utilization of NHI data in KM research, we recommend: 1) Implementing hybrid research designs that combine health insurance data with institutional data to overcome limited KM coverage; 2) Establishing clear operational definitions and applying appropriate statistical methods for bias adjustment; 3) Working toward developing a specialized Korean Medicine Utilization Cohort Database. …”
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E-Commerce Enterprise Supply Chain Cost Control under the Background of Big Data by Haijun Mao, Long Chen

“…Therefore, the research purpose of this study is to use big data technology to explore a series of practical operation methods for supply chain Cultural Communication Enterprises and summarize the operation mode of building SCC control by using big data technology. …”
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Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data by Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan

“…We validated the new similarity coefficient PJC on PPI datasets of Krogan, Gavin, and DIP of yeast species and evaluated the results by receiver operating characteristic analysis, jackknife analysis, top analysis, and accuracy analysis. …”
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Privacy-preserving multi-dimensional multi-function data aggregation scheme in smart grid by WANG Yuanyuan, HAN Yiliang, WU Liqiang, LI Yu, YAO Wujun, WU Xuguang, ZHU Shuaishuai

“…However, achieving functional analysis of such data, especially its multi-dimensionalization and multi-functional operation, without compromising user privacy has been identified as an urgent problem. …”
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Impact on Network Performance of Probe Vehicle Data Usage: An Experimental Design for Simulation Assessment by Lídia Montero, Maria Paz Linares, Josep Casanovas, Esteve Codina, Gonzalo Recio, Ester Lorente, Juan Salmerón

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Towards a sustainable automated library operation; the imperatives of digital skills and related factors of digital skills development of university library professionals in Nigeri... by Gbenga Adetunla, Gobinda Chowdhury

“…Analysis. Quantitative data was analyzed using SPSS version 23 and qualitative data was subjected to thematic content analysis. …”
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An Intelligent Market Model that Incorporates Individual Trader’s Behavior to Simulate Forex Trading Data by Patrick Naivasha, George Musumba, Patrick Gikunda, John Wandeto

“…Besides, model results demonstrate that traders in the Forex market operate in an information-skewed environment. Further experiments are required to refine the model data, optimize the intelligent market score and subsequently apply the results in Forex market analysis.…”
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Instant Feedback Rapid Prototyping for GPU-Accelerated Computation, Manipulation, and Visualization of Multidimensional Data by Maximilian Malek, Christoph W. Sensen

“…We have created an open-source application and framework for rapid GPU-accelerated prototyping, targeting image analysis, including volumetric images such as CT or MRI data. …”
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Outlier Detection Method of Dam Monitoring Data Based on Robust Estimation and Variable Separation by LIANG Huibin, ZHANG Han, ZHANG Linsong, CAO Yuxin, ZHOU Jingren

“…The original monitoring data of dams is the most important data to grasp the operation behavior of the dams,and the outliers in the data are the focus during the analysis.Outliers are divided into two categories.One category is caused by measurement errors and should be eliminated or supplemented to avoid affecting subsequent analysis.The other is caused by structural mutations and should be highly valued.At present,main outlier recognition methods in dam engineering are based on traditional mathematical statistics and do not consider the influence of structural anomalies,which results in low recognition accuracy.Therefore,based on an in-depth study of dam monitoring data and outlier characteristics,this paper first employs robust MM estimation to eliminate the normal influence of internal and external factors and then adopts the residual measured value to eliminate the stable abnormal influence by difference before and after.Finally,according to the minimum value method,outlier identification is conducted on the residual values.The application of the measured dam data proves that the proposed method can identify the measurement outliers more effectively and robustly,and avoid the interference of structural stability anomalies.…”
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Application Possibilities of Orthophoto Data Based on Spectral Fractal Structure Containing Boundary Conditions by József Berke

“…For this, in addition to the structural measurements on the images, we also use the well-known image entropy in information theory. The data obtained in this way can facilitate the optimal UAS operation execution that best suits further image processing tasks (e.g., classification, segmentation, and index analysis).…”
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A Study on Analyzing Travel Characteristics of Micro Electric Vehicles by Using GPS Data by Sunhoon Kim, Sooncheon Hwang, Dongmin Lee

“…Micro-EVs with missing data due to GPS device malfunctions were excluded from the analysis. …”
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Distributed photovoltaic cluster output monitoring method based on time series data acquisition by Hua Ye, Xuegang Lu, Wei Zhang, Fei Cheng, Ying Zhao

“…Abstract The data processing efficiency of distributed photovoltaic cluster output monitoring needs to be improved, improving the prediction effect of distributed photovoltaic power station cluster can effectively improve the security of power system operation and reduce the difficulty of power grid management. …”
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Terrain and Atmosphere Classification Framework on Satellite Data Through Attentional Feature Fusion Network by Antoni Jaszcz, Dawid Połap

“…The proposed classifier architecture is the main element of the modeled framework for satellite data analysis, which is based on the possibility of training depending on the client’s desire. …”
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A Data-Driven Framework for Smart Urban Domestic Wastewater: A Sustainability Perspective by Jing Du, Biao Kuang, Yifan Yang

“…Moreover, seven functions of SUDW were identified based on systematic literature analysis, such as the automation of WWTPs and operation and maintenance of sewer assets. …”
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A Comparative Study of Unsupervised Deep Learning Methods for Anomaly Detection in Flight Data by Sameer Kumar Jasra, Gianluca Valentino, Alan Muscat, Robert Camilleri

“…The paper puts forth a compelling case for shifting from the existing method, which relies on examining events through threshold exceedances, to a deep learning-based approach that offers a more proactive style of data analysis. This not only enhances the generalization of the FDM process but also has the potential to improve air transport safety and optimize aviation operations.…”
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EpiCollect: linking smartphones to web applications for epidemiology, ecology and community data collection. by David M Aanensen, Derek M Huntley, Edward J Feil, Fada'a al-Own, Brian G Spratt

“…<h4>Background</h4>Epidemiologists and ecologists often collect data in the field and, on returning to their laboratory, enter their data into a database for further analysis. …”
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Coal mill early warning system based on the combination of thermodynamic mechanism and data mining by QIAN Hong, JIANG Cheng

“…In order to realize the early warning of the coal mill and to improve the stability of the coal mill .On the basis of thermodynamics, the internal coal quality, moisture quality, and energy balance of the Hp934 mediumspeed coal mill were analyzed, and the characteristic parameters that characterize the operation of the coal mill were determined. Using correlation analysis, normal distribution and confidence algorithm to excavate a large number of actual production data, determine the boundaries of various characteristic parameters of stable operation of the coal mill under various operating conditions, formulate the early warning rules, and establish the early warning model of coal mill.The test results show that the model can accurately determine the early operation anomalies of the coal mill earlier, prove the effectiveness and feasibility of the early warning model, and provide reference for the operation and maintenance of the coal mill. …”
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Quality of experience–oriented fuzzy routing decision by combining multiple attributes experience data by Lingmin Yang, Hong Wang, Shunying Zhu, Changhua Yao, Junye Meng

“…This article studies the quality of experience–oriented routing decision problem using the vacillating fuzzy analysis approach. The integration operators and multiple attribute routing decision method based on multiple unsure information are studied. …”
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Artificial intelligence-assisted diagnosis of early allograft dysfunction based on ultrasound image and data by Yaqing Meng, Mingyang Wang, Ningning Niu, Haoyan Zhang, Jinghan Yang, Guoying Zhang, Jing Liu, Ying Tang, Kun Wang

“…EAD lacks efficient diagnosis and causation analysis methods. The integration of AI and ultrasound enhances diagnostic accuracy and causation analysis. …”
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Integration of Transcriptomic and Single-Cell Data to Uncover Senescence- and Ferroptosis-Associated Biomarkers in Sepsis by Xiangqian Zhang, Yiran Zhou, Hang Li, Mengru Chen, Fang Peng, Ning Li

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