ANALYSING THE POSIBILITY OF FUEL FILTER ELEMENTS OPERATING EFFECTIVINESS EVALUATION WITH X-RAY FLUORESCENSE METHOD by M. L. Nemchikov, A. N. Kozlov, K. I. Gryadunov, A. M. Meleshnikov

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Comprehensive Quality Evaluation Method of Smart Electricity Meters Based on Multi-source Information Fusion by DAI Yanjie, JING Zhen, SUN Yongquan

“… Aiming at the problem of operation state evaluation and prediction of high reliability and long life smart meter, a comprehensive evaluation method of smart meter operation quality by integrating multi source information is proposed. …”
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Clinical evaluation of the novel digital liquid chip method for anti-dsDNA detection in SLE by Xiaofeng Zeng, Qian Wang, Xinping Tian, Mengtao Li, Chaojun Hu, Rui Yu, Yina Bai, Chiyuan Xue

“…Objective This study aims to evaluate the diagnostic performance of the digital liquid chip method (DLCM) compared with indirect immunofluorescence (IIF) and chemiluminescent immunoassay (CLIA) for anti-double-stranded DNA (dsDNA) antibody detection in SLE.Methods The retrospective study consecutively enrolled 1349 patients, including 698 with SLE and 651 with other autoimmune diseases at Peking Union Medical College Hospital. …”
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Evaluating the change and trend of construction land in Changsha City based GeoSOS-FLUS model and machine learning methods by Zuopeng Zhang, Zhe Li, Zhirong Li

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Earthquake Prediction and Alert System Using IoT Infrastructure and Cloud-Based Environmental Data Analysis by Cosmina-Mihaela Rosca, Adrian Stancu

“…The authors proposed a unique alerting algorithm and conducted a case study that evaluates multiple predictive models, varying parameters, and methods to identify the most effective model for seismic event prediction in specific meteorological conditions. …”
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Novel integrative models to predict the severity of inflammation and fibrosis in patients with drug-induced liver injury by Yue Zhang, Chuan Lu, Jingying Xu, Qiqi Ma, Mei Han, Li Ying

“…This study aims to develop novel integrative models to identify DILI-associated liver inflammation and fibrosis, and compare the predictive values with previously developed indexes.MethodsA total of 72 DILI patients diagnosed as DILI through liver biopsy were enrolled in this study. …”
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Stroke Dataset Modeling: Comparative Study of Machine Learning Classification Methods by Kalina Kitova, Ivan Ivanov, Vincent Hooper

“…This comparative study offers a detailed evaluation of algorithmic methodologies and outcomes from three recent prominent studies on stroke prediction. …”
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Analyzing Influencing Factors of Uterine Rupture in Pregnant Women with Scarred Uterus Undergoing Repeat Delivery and Evaluating the Predictive Value of Lower Uterine Anterior Wall... by Zhang L, Li T, Zhang P, Li C

“…Univariate/multivariate logistic regression and ROC curves were used to identify risk factors and evaluate predictive performance.Results: The rupture group had higher rates of advanced maternal age, prenatal BMI ≥ 30 kg/m², multiparity, single-layer cesarean suturing, and shorter inter-pregnancy intervals (all P< 0.05). …”
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Evaluating the predictive value of frailty scores for critical care admission and hospital stay in elderly surgical patients: A comparison of the mFI-5 and CCI. by Marc Lincoln, Liadán Tobin-Schnittger, Marianne Foley, Dulmi Nawartha, Pádraig Ó Scanaill

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Data-driven predictive model of coal permeability based on microscopic fracture structure characterization by Tianhao Yan, Xiaomeng Xu, Jiafeng Liu, Yihuai Zhang, Muhammad Arif, Xiaowei Xu, Qiang Wang

“…Owing to the inherent heterogeneity and complex internal structure of coal, a well-established method for predicting permeability based on microscopic fracture structures remains elusive. …”
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Reservoir parameter prediction technology based on deep learning and its application in the Panyu 4 Sag, Pearl river mouth Bain by Yingwei Li, Yanhui Zhu, Zhenshen Li, Xiaozhao Zhang, Guofu Cai

“…To address this issue, this paper proposes a method using a convolutional neural network for predicting porosity and facies distribution. …”
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Performance Predictions of Solar-Assisted Heat Pumps: Methodological Approach and Comparison Between Various Artificial Intelligence Methods by Minghui Ma, Oguzhan Pektezel, Vincenzo Ballerini, Paolo Valdiserri, Eugenia Rossi di Schio

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Evaluation of residual carious dentin detection methods after cavity preparation: a randomized clinical trial by Hadiza Mohammed Abba, Paul Ikhodaro Idon, Christopher Ikeokwu Udoye, Oluwafeyisayo Francis Ikusika

“…The negative predictive value was the lowest (90%) for the visual-tactile method. …”
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Which explanations do clinicians prefer? A comparative evaluation of XAI understandability and actionability in predicting the need for hospitalization by Laura Bergomi, Giovanna Nicora, Marta Anna Orlowska, Chiara Podrecca, Riccardo Bellazzi, Caterina Fregosi, Francesco Salinaro, Marco Bonzano, Giuseppe Crescenzi, Francesco Speciale, Santi Di Pietro, Valentina Zuccaro, Erika Asperges, Paolo Sacchi, Pietro Valsecchi, Elisabetta Pagani, Michele Catalano, Chandra Bortolotto, Lorenzo Preda, Enea Parimbelli

“…Two cognitive statements for each method were rated on a Likert scale, as well as the agreement with the prediction. …”
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SIGNIFICANCE OF IMMUNE INDEXES IN SEVERITY EVALUATION IN THE PATIENTS WITH ABDOMINAL SEPSIS by V. V. Grebenuyk, N. V. Yusan

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Evaluation of fatigue performance of asphalt materials based on their relaxation behavior by Beibei Zhang, Mengqi Jing

“…Thus, the proposed indexes can be used to comprehensively evaluate the viscoelastic performance of the material. …”
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Cross-generational genomic prediction of Norway spruce (Picea abies) wood properties: an evaluation using independent validation by Haleh Hayatgheibi, Henrik R. Hallingbäck, Salvador A. Gezan, Sven-Olof Lundqvist, Thomas Grahn, Gerhard Scheepers, Sonali Sachin Ranade, Katri Kärkkäinen, M. Rosario García Gil

“…Predictive ability (PA) and prediction accuracy (ACC) were estimated using an independent validation method, ensuring no individuals were shared between training and validation datasets. …”
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Novel insight into prediction model for sleep quality among college students: a LASSO-derived sleep evaluation by Ling Yao, Ling Yao, Qingquan Chen, Kang Yang, Zhihua Zheng, Zhihan Chen, Danna Wang, Yining Xia, Dingquan Chen, Lufeng Chen

“…This study aims to provide a fresh perspective by developing and validating a predictive model for sleep quality among college students.MethodsData from 20,645 college students in Fujian Province, China, collected between 5th April and 16th April 2022, were analyzed. …”
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Evaluation of mathematical models and artificial neural networks for prediction of sorption isotherm in microwave pre-heated mung bean by Kulwinder Kaur, Satish Kumar, Preetinder Kaur, Rupinder Pal Singh, Inderjit Singh Grewal

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Clinical Performance of Prediction Rules and Nasogastric Lavage for the Evaluation of Upper Gastrointestinal Bleeding: A Retrospective Observational Study by Hassan K. Dakik, F. Douglas Srygley, Shih-Ting Chiu, Shein-Chung Chow, Deborah A. Fisher

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