Corrigendum to “A Way to Understand Inpatients Based on the Electronic Medical Records in the Big Data Environment” by Hongyi Mao, Yang Sun

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APPLICATION OF ASSIGNMENT METHOD WITH SEVIMA EDLINK TO IMPROVE STUDENT'S DISCIPLINE AND MATHEMATICS LEARNING ACHIEVEMENT by Gst Ayu Mahayukti, I Gusti Putu Sudiarta, I Dewa Gede Limarta Yusadi Putra

Subjects: “…Due to the pandemic, teachers need to make breakthroughs in carrying out online learning by utilizing the right online learning media, one of which is the Sevima Edlink application, because Sevima EdLink is an application that can be accessed via a computer or Android, and is free and without installation.This study aims to improve students' achievement and discipline in learning mathematics through the application of the sevima edlink assignment method in online learning on matrix material and matrix transformation. …”
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Advancements in remote sensing technologies for accurate monitoring and management of surface water resources in Africa: an overview, limitations, and future directions by Maria Sigopi, Cletah Shoko, Timothy Dube

“…This review presents a comprehensive examination of recent advancements in utilizing multi-date satellite data to analyze spatial and temporal variations in seasonal and inter-annual surface water dynamics within arid environments of Africa. …”
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Advances in Data Pre-Processing Methods for Distributed Fiber Optic Strain Sensing by Bertram Richter, Lisa Ulbrich, Max Herbers, Steffen Marx

“…Because of their high spatial resolution over extended lengths, distributed fiber optic sensors (DFOS) enable us to monitor a wide range of structural effects and offer great potential for diverse structural health monitoring (SHM) applications. However, even under controlled conditions, the useful signal in distributed strain sensing (DSS) data can be concealed by different types of measurement principle-related disturbances: strain reading anomalies (SRAs), dropouts, and noise. …”
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The Effect of E-Service Quality, E-Trust, and E-Customer Satisfaction on E-Customer Loyalty on the Use of the Halodoc Application (Study: Users of the Halodoc Application in Suraba... by Sri Linda Handayani, Budi Prabowo

“…The research method used is a quantitative approach with an associative research type. Data was collected through a questionnaire distributed to 100 respondents who were Halodoc application users. …”
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Study on Meteorological Disaster Monitoring of Field Fruit Industry by Remote Sensing Data by Gao Bei, Shuyu Zhang, Yanlong Guo, Li Yanli, Ning Hu, Jun Liu

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Comparing New Wireless Sensor Network Protocols through Simulation and Data Analysis by Himanshu Agarwal, Atul Pratap Singh, Ajeet Singh, Amit Kumar, Pratik K. Agrawal, S. Saranya

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e-Science practice and results in space science under an era of big data by Ziming ZOU, Jizhou TONG, Senlin XIONG, Xiaoyan HU, Zhen JI

“…With the development of space exploration technology and the deepening of space cognition,more and more space science exploration projects have been advanced and implemented,which promoted the era of big data in space science.The foreign e-Science construction status in space science and two supporting and service information systems of China Space Science Data Center(CSSDC) were described.More specifically,it presented the application environment of big data in the e-Science project of CSSDC:Space Science Virtual Observatory(VSSO),as well as illustrated the comprehensive application platform of space science in cloud environment:Solar-Terrestrial and Astronomy Research Network (STARNetwork).…”
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Adaptive multi classifier traffic data interpolation model based on information entropy by Yunkai ZHANG, Jin GAO, Qing LI, Xu WANG

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The Research on Coordinated Decision-Making Method Tax System Based on Subject Data by Zhaoji Yu, Chuang Wei, Fang Hou, Xiaonan Chen

“…Academically, the research of subject database of tax system aims to set up an efficient, harmonious virtual data application environment. Subject data, in application and management, has been on demand polymerized and autonomously collaborated and has reached a balance between instantaneity and accuracy. …”
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A Distributed Collision-Free Data Aggregation Scheme for wireless sensor network by Danyang Qin, Yan Zhang, Jingya Ma, Ping Ji, Pan Feng

“…Due to the advantages of large-scale, data-centric and wide application, wireless sensor networks have been widely used in nowadays society. …”
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Enhancing Serials Holdings Data: A Pymarc-Powered Clean-Up Project by Minyoung Chung and Phani Chaitanya Pendyala

“…This article illustrates the application of Pymarc for both data analysis and creation, emphasizing its utility in generating data in the MARC format. …”
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Cross-Method Overview of Fleet-Based Machine Health Estimation and Prediction: A Practical Guide for Industrial Applications by Xuqian Yan, Janis Woelke, Boris Bensmann, Christoph Eckert, Richard Hanke-Rauschenbach, Astrid Niebe

“…However, practical applications of these approaches often confront the challenge of data scarcity, due to heterogeneity among machines. …”
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The Role of a Smartphone Application in Monitoring the Risk of Hearing Loss Associated with Personal Listening Devices in Young Adults by Deniz Tuz, Selin Sariçamlik, Ceren Bodur, Gülce Kirazli, Pelin Piştav Akmeşe

“…Based on their weekly, monthly, 6-month, and annual listening data from the “Health” application, participants were classified into at-risk or non-risk groups. …”
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Intelligent Malfunction Identification Method in Mechanical Manufacturing Process Based on Multisensor Data by Meng Wang

“…Moreover, a malfunction identification and analysis method for keyboard stroke machinery based on BP optimized by GA is proposed. The mechanical data of keyboard chords are acquired by sound-sensitive sensors, and the data features are extracted by wavelet packet decomposition. …”
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Enabling data conversion between Micromine and Surpac – enhancing efficiency in geological exploration by Fumei Liu

“…This paper not only explores technical details but also showcases practical application cases, emphasizing the importance of cross-software data conversion in improving the efficiency of geological exploration and mining planning. …”
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Artificial Neural Network for the Clustering of Vibration Signals for Condition Monitoring of Rotating Machines by Eyere Emagbetere, Samson Uwatse, Omonzokpia Goerge Okoidigun

“…The obtained data was preprocessed and analyzed statistically. …”
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Cost efficiency evaluation for a two-stage series network in data envelopment analysis by Zohreh Moghaddas, Mohsen Vaez Ghasemi

“…Purpose: Cost efficiency evaluation in a network system using data envelopment analysis models can be improved from various aspects in real-world applications. …”
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Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders by Bogdan Florian Socoliuc, Andrei Alexandru Suciu, Mădălina Ecaterina Popescu, Doru Alexandru Plesea, Florin Nicolae

“…This study examines the effectiveness of digital recruitment platforms in addressing labor shortages within Norway’s shipbuilding and ship-repair industry. Through a data analysis of 446 job applications over a 12-month period, this study evaluates key recruitment metrics, including application response times (ARTs), candidate acceptance rates (CARs), and the impact of machine learning on hiring outcomes. …”
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Smart agriculture, data and AI in the context of COBIT 2019: Analysis of potentials and risks by Dmitrović Veljko, Petrović Mladen, Jakovljević Nemanja

“…By presenting the essential elements of smart agriculture, and above all the decision making process with the application of artificial intelligence and large-scale data management, the paper aims to provide a balanced perspective on how these technologies can improve business success in agriculture. …”
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