Correction: Multiple myeloma as a challenging multidimensional random process: a data-driven web-based application for treatment selection by Alexander S. Luchinin, Tigran G. Gevorkyan, Anastasia A. Semenova

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A case study on the application of a data-driven (XGBoost) approach on the environmental and socio-economic perspectives of agricultural groundwater management by Sheng-Wei Wang, Yen-Yu Chen, Shu-Han Hsu, Yu-Hsuan Kao, Masaomi Kimura, Li-chiu Chang, Tzi-Wen Pan, Chuen-Fa Ni

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Preliminary application of the Sharesource connect data collection and analysis system in the management of continuous renal replacement therapy in the intensive care unit by Wensan Wu, Jianli Wang, Chen Chen, Junqi Feng, Shuyi Zhang, An Shi, Jing Zhang, Xinyi He, Jiangchen Peng, Mingli Zhu

“…Abstract Background This study investigated the application of software-based data monitoring for quality control (QC) in continuous renal replacement therapy (CRRT) management. …”
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Nonfragile Synchronization of Semi-Markovian Jumping Neural Networks with Time Delays via Sampled-Data Control and Application to Chaotic Systems by K. Sivaranjani, M. Sivakumar, S. Dharani, K. Loganathan, Ngawang Ngmgyel

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M_split Estimation with Local or Global Robustness Against Outliers—Applications and Limitations in LiDAR Data Processing by Patrycja Wyszkowska, Robert Duchnowski

“…Light Detection and Ranging (LiDAR) systems become more prevalent in remote sensing for modeling buildings, engineering structures, or their deformations and displacements. Processing data from such systems, usually point clouds, can be performed using different methods, including M_split estimation. …”
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The application of naive bayes method for final project topic selection within the project-based learning framework in the data mining course by Denny Kurniadi

“…This study aims to explore the potential application of the Naive Bayes Method in predicting the determination of final project topics for students within the context of project-based learning (PBL) in the Data Mining course. …”
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Exploring RNA-Seq Data Analysis Through Visualization Techniques and Tools: A Systematic Review of Opportunities and Limitations for Clinical Applications by Farhana Manzoor, Cyruss A. Tsurgeon, Vibhuti Gupta

“…This review aims to outline the current state-of-the-art data visualization techniques and tools commonly used to frame clinical inferences from RNA-seq data and point out their benefits, applications, and limitations. …”
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Optimised block bootstrap: an efficient variant of circular block bootstrap method with application to South African economic time series data by James Daniel, Kayode Ayinde, Adewale F. Lukman, Olayan Albalawi, Jeza Allohibi, Abdulmajeed Atiah Alharbi

“…Consequently, the OBB method was applied to forecasting of the South Africa economic data, extending up to 2027. The novel approach presented by OBB offered a valuable tool for improving predictive accuracy in time series forecasting, with potential applications across diverse fields such as finance and environmental modeling.…”
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Optimizing Geospatial Data for ML/CV Applications: A Python-Based Approach to Streamlining Map Processing by Removing Irrelevant Areas by David Kasperek, Michal Podpora

“…The research results of the paper reveal substantial file size reduction, and improved processing efficiency, thus making the optimized geospatial graphical data more practical for ML/CV applications, while still maintaining the original data quality and relevance of the analyzed parcels or infrastructure.…”
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Integrating Molecular Perspectives: Strategies for Comprehensive Multi-Omics Integrative Data Analysis and Machine Learning Applications in Transcriptomics, Proteomics, and Metabolomics by Pedro H. Godoy Sanches, Nicolly Clemente de Melo, Andreia M. Porcari, Lucas Miguel de Carvalho

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A Web Geographic Information System to share data and explorative analysis tools: The application to West Nile disease in the Mediterranean basin. by Lara Savini, Susanna Tora, Alessio Di Lorenzo, Daniela Cioci, Federica Monaco, Andrea Polci, Massimiliano Orsini, Paolo Calistri, Annamaria Conte

“…ESRI ArcSDE 10.1 has been used to store spatial data.<h4>Results</h4>The DMD application is accessible through a generic web browser at https://netmed.izs.it/networkMediterraneo/. …”
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Applicability of Multi-Sensor and Multi-Geometry SAR Data for Landslide Detection in Southwestern China: A Case Study of Qijiang, Chongqing by Haiyan Wang, Xiaoting Liu, Guangcai Feng, Pengfei Liu, Wei Li, Shangwei Liu, Weiming Liao

“…The results indicate the following: (1) L-band SAR data demonstrates superior monitoring precision compared to C-band SAR data in the SMRC; (2) the combined use of LUTAN-1 ascending/descending orbits significantly improved spatial accuracy and detection completeness in complex landscapes; (3) multi-source data fusion effectively mitigated limitations of single SAR systems, enhancing identification of small- to medium-scale landslides. …”
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Adapting Efficiency Analysis in Health Systems: A Scoping Review of Data Envelopment Analysis Applications During the COVID-19 Pandemic by Athanasios Mitakos, Panagiotis Mpogiatzidis

“…<b>Objective:</b> To synthesize the current evidence base concerning the application of Data Envelopment Analysis (DEA) in healthcare efficiency during the COVID-19 pandemic using a scoping review of 13 primary studies. …”
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A design-based framework for optimal stratification using super-population models with application on real data set of breast cancer. by Faizan Danish

“…To address this, the study proposes a robust methodology for calculating OSB and SS, leveraging knowledge of the survey's per-unit stratum measurement costs or its probability density function. An empirical application of the method is demonstrated using breast cancer data, where the mean perimeter is estimated based on mean radius and mean texture. …”
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Application of the Groundwater Data Mapper Tool to Assess Storage Changes in a Groundwater-Driven Basin in the Klamath Watershed, Oregon, USA by Daniel Shepard, Norman L. Jones, Gustavious P. Williams

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Application of multi-source remote sensing data to nephrite exploration in the Eastern Kunlun Range: A new perspective for jade prospecting by Wenqing Ding, Lin Ding, Qingting Li, Yongjie Fan, Liyun Zhang, Jinxiang Li

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A Novel Anomaly Forecasting in Time‐Series Data: Feedback Connection between Forecasting and Detecting Algorithms with Applications to Power Systems by Hyung Tae Choi, Hae Yeon Park, Taewan Kim, Jung Hoon Kim

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Application of standard keratometry values obtained from keratotopographic mapping data to calculate the optical power of a multifocal intraocular lens by S. V. Shukhaev, E. V. Boiko, Yu. M. Petrosyan, A. V. Molodkin

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Estimation of Groundwater Storage Change and Groundwater Recharge Using GRACE data in Jedeb Watershed Under the Application of Google Earth Engine by Tade Mule Asrade, Mulu Sewinet Kerebih, Natnael Yasab Assefa

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Application of the Stratified Nursing Mode of the Prediction Model Constructed Based on Case System Data in the Nursing of Patients with Acute Renal Failure by Jiaping Shen, Xufeng Mei, Xueping Sun

“…Objective. To explore the application of the stratified nursing mode of the prediction model constructed based on case system data in the nursing of patients with acute renal failure (ARF). …”
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