Classification and identification of medical insurance fraud:  a case-based reasoning approach by Xiaodi Liu, Shasha Zhang, Zengwen Wang, Shitao Zhang

“…At first, the probabilistic hesitant fuzzy element (PHFE) is regarded as a discrete probability distribution, and its distribution function is defined. On this basis, a distribution discrepancy degree is proposed to make up for the shortage of existing measures between PHFEs. …”
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Detecting Clinical Risk Shift Through log–logistic Hazard Change-Point Model by Shobhana Selvaraj Nadar, Vasudha Upadhyay, Savitri Joshi

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Explainable data mining model for hyperinsulinemia diagnostics by Nevena Rankovic, Dragica Rankovic, Mirjana Ivanovic, Igor Lukic

“…To address these challenges in the medical data analysis, we propose a model employing Functional Principal Component Analysis (FPCA), which also accounts for outliers that could otherwise lead to the inclusion of irrelevant features. …”
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Research on deconvolution methods for thermal network of power devices by DENG Erping, YANG Ying, WANG Yanhao, CHANG Guiqin, HUANG Yongzhang, DING Lijian

“…In this paper, by studying the core aspect of deconvolution in the structure function method, the theoretical analysis of three deconvolution calculation methods was carried out from three aspects: calculation method input, calculation method core, and error analysis; data analysis was carried out from six aspects: number of iterations, calculation time, sampling frequency, accuracy of calculation methods, selection of calculation methods and practical application. …”
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Factors associated with cognitive impairment for people with mental health disorders: screening from general hospitals and an emergency care unit in Brazil by Alice Hirdes, Johanna de Almeida Mello, Wagner de Lara Machado, Elton Luiz Ferlin, John P. Hirdes

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Locomotive Remote Data Acquisition Based on FIP by QU Changping

“…The provided fault on-demand function can realize the information exchange between locomotives and the ground system, and the fault on-demand content can improve the accuracy of fault location on the ground based on the fault equation and other information provided by e-Train software.The application results show that the device can realize remote monitoring and fault location analysis of locomotive state by combining with ground receiving system.…”
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National Institute of Health Stroke Scale Score Mediated the Relationship between Systemic Inflammatory Response Index, High-Sensitivity C-Reactive Protein, and Functional Prognosi... by Xueqing Liu, Tong Zhang, Liqin Yang, Guojuan Chen, Peng Ding, Delin Yu, Haibing Liao, Jing Liu, Wei Yue

“…We used multivariate linear regression, logistic regression, sensitivity analysis, and mediation analysis to analyze the data. …”
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Data-driven segmentation of cortical calcium dynamics. by Sydney C Weiser, Brian R Mullen, Desiderio Ascencio, James B Ackman

“…We show that a set of spatial and temporal metrics obtained from the components can be used to build a random forest classifier, which separates neural activity and artifact components automatically at human performance. Using this data, we establish functional segmentation of the mouse cortex to provide a map of ~115 domains per hemisphere, in which extracted time courses maximally represent the underlying signal in each recording. …”
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Identifying lifelong factors that impact brain health and functional outcomes in adults with childhood-onset type 1 diabetes: the cognition and longitudinal assessments of risk fac... by Velandai K Srikanth, Eva L Feldman, Chris Moran, Lili Zhao, Amy Brown, Richard Beare, Elisabeth A Northam, Emily J Koubek, Stacey A Sakowski, Taya Collyer, Chris L. Adamson, Fergus J. Cameron

“…The initial study recruited children in Australia diagnosed with T1D between 1990 and 1992, conducting five waves of data collection. We now introduce the Cognition and Longitudinal Assessments of Risk Factors over 30 Years (CLARiFY) Diabetes Complications Study to assess brain, cognition and functional outcomes in mid-adulthood, approximately 30 years post-T1D onset. …”
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Environmental adaptations in metagenomes revealed by deep learning by Johanna C. Winder, Simon Poulton, Taoyang Wu, Thomas Mock, Cock van Oosterhout

“…Abstract Background Deep learning has emerged as a powerful tool in the analysis of biological data, including the analysis of large metagenome data. …”
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Hard of hearing learners in a school for the deaf: A case study in the Eastern Cape province by Thabisa P. Ndwandwe, Lavanithum Joseph

“…Thematic analysis and descriptive statistics were used for data analysis. …”
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Extending LoRaWAN: Mesh Architecture and Performance Analysis for Long-Range IoT Connectivity in Maritime Environments by Nuno Cruz, Carlos Mendes, Nuno Cota, Gonçalo Esteves, João Pinelo, João Casaleiro, Rafael Teixeira, Leonor Lobo

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Comprehensive spinal correction rehabilitation (CSCR) study: a randomised controlled trial to investigate the effectiveness of CSCR in children with early-onset idiopathic scoliosi... by Tongtong Zhang, Xin Li, Xuan Zhou, Qing Du, Yingxian Li, Qimeng Fan, Juping Liang, Zhengquan Chen, Haibin Guo, Lili Cai

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DANGO: An MS data annotation tool for glycolipidomics by Masaaki Matsubara, Mayumi Ishihara, Michael Tiemeyer, Kazuhiro Aoki, René Ranzinger

“…DANGO annotates MS datasets using a glycosphingolipid database, which is created from a curated or user-defined glycan and ceramide collection, and proposes candidate structures to the user that match the experimental data. DANGO is implemented as an extension of GRITS Toolbox (http://www.grits-toolbox.org), employing functionalities such as display routines for post-processing and organized annotation of data and relevant metadata. …”
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Unsupervised Feature Representation Based on Deep Boltzmann Machine for Seizure Detection by Tengzi Liu, Muhammad Zohaib Hassan Shah, Xucun Yan, Dongping Yang

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Index-Based Neural Network Framework for Truss Structural Analysis via a Mechanics-Informed Augmented Lagrangian Approach by Hyeonju Ha, Sudeok Shon, Seungjae Lee

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Transplantation of expanded criteria kidney grafts to elderly recipients in the N.V. Sklifosovsky Research Institute for Emergency Medicine by N. V. Shmarina, I. V. Dmitriev, B. Z. Khubutiya, A. V. Pinchuk

“…Based on clinical, laboratory, histological, and instrumental diagnostic data, we compared the graft function recovery rates, graft/recipient survival rates, the causes of graft loss in the early posttransplant period.Results: Patients of group I had significantly higher delayed graft function rates (37.3% vs. 10%), graft non-function rates (15.7% vs. 0%), and lower early posttransplant survival rates (72.5% vs. 100%). …”
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Synthesis of novel hexahydroquinolines and evaluation of their antibacterial effects on bacteria inducing skin wound infections, accompanied by quantum mechanical calculations by Fateme Khojaste, Nahid Shajari, Parvin Eskandari, Mohammad Reza Farahpour, Hooriye Yahyaei

“…FT-IR, 1H NMR, 13C NMR, and elemental analysis were used to confirm the structure of the products. …”
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Formalizing Latin American Perspectivism: A Neutrosophic MultiPerspectivism Model by Maikel Y. Leyva Vázquez, Florentin Smarandache

“…A key result is the development of a similarity function that quantifies the affinity between different perspectives, transforming qualitative viewpoints into analyzable data. …”
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Preparation and Characterization of Unactivated, Activated, and γ-Fe₂O₃ Nanoparticle-Functionalized Biochar from Rice Husk via Pyrolysis for Dyes Removal in A... by Diego Barzallo, Edwuin Carrasquero, Mónica Andrade, Daniel Alejandro Heredia Jara, Paúl Palmay

“…These materials were subsequently characterized using Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), and Brunauer–Emmett–Teller (BET) analysis, which revealed favorable textural properties, such as an increased surface area and porosity, as well as the presence of functional groups that facilitate the adsorption of methylene blue and malachite green in aqueous solutions. …”
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