Showing 12,681 - 12,700 results of 14,865 for search 'Operational data analysis', query time: 0.27s Refine Results
  1. 12681

    A Security Posture Assessment of Industrial Control Systems Based on Evidential Reasoning and Belief Rule Base by Huishan Song, Yanbin Yuan, Yuhe Wang, Jianbai Yang, Hang Luo, Shiming Li

    Published 2024-11-01
    “…The model consolidates diverse information within ICS, enhancing the accuracy of assessments while addressing challenges such as uncertainty in ICS data. The proposed model employs evidential reasoning (ER) to fuse various influencing factors and derive security assessment values. …”
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  2. 12682

    PHYSICO-GEOMETRIC INTERPRETATION OF MICROCUTTING TO DEVELOPMENT OF THE THEORETICAL THERMOMECHANICS OF GRINDING by Yury GUTSALENKO, Cătălin IANCU, Feodor NOVIKOV, Оlеg KLЕNОV

    Published 2017-12-01
    “…The performed analysis is based on the previous author's development of the probabilistic approach to the formation of the maximum thickness of the cut. …”
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  3. 12683

    Fisheries’ Economic Impacts from the Rezoning of the Multi-Use Moreton Bay Marine Park by Sean Pascoe, Louisa Coglan, Marjoleine Roos, Toni Cannard, Gabriela Scheufele, Amar Doshi, Isabel Haro

    Published 2025-04-01
    “…Analysis of commercial catch data suggests that the commercial fishery has been less impacted than expected by the loss of available area, although this result varies by species. …”
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  4. 12684

    Association between the C-reactive protein-albumin-lymphocyte index and all-cause mortality in Chinese older adults: a national cohort study based on CLHLS from 2014 to 2018 by Tian Hu, Taotao Wang, Xiaojing Luo, Zheng Hu

    Published 2025-05-01
    “…Here, we investigate the relationship between the CALLY index and all-cause mortality in Chinese adults aged ≥ 60 years.MethodsData were obtained from the 2014 to 2018 wave of the Chinese Longitudinal Healthy Longevity Survey (CLHLS). …”
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  5. 12685

    Risk Prediction of Liver Injury in Pediatric Tuberculosis Treatment: Development of an Automated Machine Learning Model by Zeng Y, Lu H, Li S, Shi QZ, Liu L, Gong YQ, Yan P

    Published 2025-01-01
    “…After the features were screened by univariate risk factor analysis, AutoML technology was used to establish predictive models. …”
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  6. 12686

    A Predictive Model and Scoring System for All-Cause Mortality in Patients With Atrial Fibrillation Combined With Obstructive Sleep Apnea Syndrome: A Retrospective Case–Control Stud... by Xiaoting Zhang, Meng Wei, Pengjie Xue, Yanmei Lu, Baopeng Tang

    Published 2025-06-01
    “…Variables identified as significant in the univariate logistic regression analysis were included in the multivariable logistic regression analysis, which revealed that CA (odds ratio (OR) = 0.21) was an independent protective factor. …”
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  7. 12687

    Accuracy of Patient-Specific Instrument Resections In Vivo in Total Ankle Arthroplasty on Postoperative Weightbearing CT Scan by Moawiah S. Mustafa MD, George Dierking BS, Justin Ivoc BS, Glenn G. Shi MD, Ramiro Lopez BS, Cole Herbel BS, Edward T. Haupt MD

    Published 2025-05-01
    “…Desired accuracy for the PSI system was within ±2 mm or ±2 degrees of the preoperative plan. Statistical analysis of data collected included Student t test and linear regression analyses. …”
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  8. 12688

    Predictive value of triglyceride glucose index in non-obese non-alcoholic fatty liver disease by He Liu, Fang Sun, Xiaopeng Zhu, Xia Gao, Juan Deng, ZhongYan Luo, Yijian Sun, Liqi Fan

    Published 2025-04-01
    “…This study aimed to investigate the ability of the triglyceride glucose index (TyG) in predicting non-obese NAFLD.Design An observational cross-sectional study.Setting Department of Health Management, large urban academic medical centre and DRYAD database data.Participants This study included 456 patients with non-obese NAFLD and matched 456 non-fatty liver controls according to age, sex and body mass index (BMI).Primary and secondary outcome measures The receiver operating characteristic (ROC) curve was used to evaluate the predictive role of the TyG index in non-obese NAFLD. …”
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  9. 12689

    The predictive value of MUC5AC levels in the sputum of children with Mycoplasma pneumoniae pneumonia treated with fiberbronchoscopy by Xiao-qing Jian, Miao Li, Xiao-yan Wang

    Published 2025-08-01
    “…Fiberbronchoalveolar lavage fluid (BALF) was collected, and MUC5AC and epidermal growth factor (EGF) levels in BALF were detected by ELISA, followed by retrospective analysis of the clinical and laboratory test data from each group. …”
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  10. 12690

    Exploring the relationship between NHHR and the degree of coronary artery stenosis in patients with acute coronary syndromes by Zhenkun Yang, Yuanjie Li, Mingjuan Yang, Yang Xu, Jia Yao, Kefan Wang, Yuxia Gao

    Published 2025-08-01
    “…Patients in the high GS group represented those with more severe coronary artery stenosis. General clinical data from the first admission were compared between the two groups. …”
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  11. 12691

    Association of incidence of colorectal polyp with markers of insulin resistance and other related factors: a cross-sectional study by Yan Xu, Hongzhen He, Zhanhui Ye, Siquan Li, Hu Li, Xiaojuan Wang, Weizheng Zhang, Na Liu, Xiangsheng Cai

    Published 2025-07-01
    “…The patients were classified as colorectal polyp group (n = 1328) and non-polyp group (n = 1388) after colonoscopy. Baseline data of colorectal polyp and non-polyp groups were compared. …”
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  12. 12692

    Toward a Sustainable Indoor Environment: Coupling Geothermal Cooling with Water Recovery Through EAHX Systems by Cristina Baglivo, Alessandro Buscemi, Michele Spagnolo, Marina Bonomolo, Valerio Lo Brano, Paolo Maria Congedo

    Published 2025-04-01
    “…This study presents a preliminary analysis of an innovative system that combines indoor air conditioning with water recovery and storage. …”
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  13. 12693

    The predictive role of Systemic Inflammation Response Index (SIRI), Neutrophil-Lymphocyte Ratio (NLR), and Platelet-Lymphocyte Ratio (PLR) in the prognosis of acute coronary syndro... by Hamrish Kumar Rajakumar, Varsha Coimbatore Sathyabal, Mannar Vasanthan, Ramesh Dasarathan

    Published 2024-10-01
    “…Statistical analyses included Kolmogorov‒Smirnov and Anderson‒Darling tests, Spearman correlation, Kruskal‒Wallis one-way ANOVA, GLM modeling, k-fold cross-validation, and receiver operating characteristic (ROC) curve analysis. Results: After applying the exclusion criteria, 247 ACS patients were included in the analysis. …”
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  14. 12694

    Risk factors and predictive model for mild cognitive impairment in elderly patients with rheumatoid arthritis by Jun Yan, Hua Guo, Lin-Xin Zhang, Pei Chen, Yong-Ku Du, Juan Li, Ya-Ya Gao, Nan Ye

    Published 2025-07-01
    “…The model’s performance was evaluated using receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA). …”
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  15. 12695

    Assessment of inflammatory markers, disease severity and comorbidities in very elderly patients with acute respiratory diseases by Armagan Hazar, Baran Gundogus

    Published 2020-04-01
    “…A receiver operating characteristics (ROC) curve was plotted to determine performance of inflammatory marker levels for mortality risk. …”
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  16. 12696

    Predicting response to iron supplementation in patients with active inflammatory bowel disease (PRIme): a randomised trial protocol by Andrea E van der Meulen-de Jong, Gerard Dijkstra, Zlatan Mujagic, Marjolijn Duijvestein, Rogier L Goetgebuer, Roberta Loveikyte

    Published 2024-01-01
    “…The primary outcome is the utility of hepcidin as a predictive biomarker for response to iron therapy, which will be assessed using receiver operating curve analysis.Ethics and dissemination The study has been approved by the Institutional Review Board at the Leiden University Medical Center (IRB No. …”
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  17. 12697

    Inflammation and nutritional status in relation to mortality risk from cardio-cerebrovascular events: evidence from NHANES by Chengzhi Hou, Xuanchun Huang, Jie Wang, Cong Chen, Chao Liu, Shuyuan Liu, Shuyuan Liu, Hongping Li

    Published 2024-12-01
    “…The main outcomes were all-cause mortality and cardiovascular mortality. Kaplan–Meier analysis and receiver operating characteristic curves were used to compare the correlation between seven inflammatory nutritional indices (such as Advanced Lung Cancer Inflammation Index, ALI) and mortality among the survivors. …”
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  18. 12698

    Obesity and spinal surgery: a systematic review by A.V. Evsyukov, O.G. Prudnikova, E.A. Matveev, M.S. Strebkova

    Published 2025-03-01
    “…Obesity is a significant risk factor for perioperative complications in elective spinal surgery, the most important of which are blood loss, duration of surgery, surgical site infection, thromboembolism and repeated interventions. It is the operating surgeon who, based on all the initial data, determines the possibility of performing the intervention during the period of the patient’s visit, taking into account the risk factors, technical capabilities and features of surgical manipulations.…”
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  19. 12699

    A PET-CT radiomics model for immunotherapy response and prognosis prediction in patients with metastatic colorectal cancer by Wenbiao Chen, Peng Zhu, Yeda Chen, Guoping Sun

    Published 2025-05-01
    “…The predictive performance of the model was evaluated by area under receiver operating characteristic curve (AUC), calibration curve and decision curve analysis (DCA).ResultsA radiomics signature to predict the TME phenotype was constructed in the training set and verified it in an internal validation set, with AUC of 0.855 and 0.844 respectively. …”
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  20. 12700

    Association of serum uric acid-to-high-density lipoprotein cholesterol ratio with obstructive sleep apnea: a cross-sectional study by Yan Tang, Jiaxin Liu, Junchi Zhang, Yuying Zhu, Jinling Zhou

    Published 2025-05-01
    “…Nonlinear relationships were examined with restricted cubic spline analysis and threshold effect analysis. Receiver operating characteristic (ROC) curves were utilized to compare the predictive capacities of UHR, SUA, and HDL-C for OSA, with the area under the curve (AUC) calculated to assess the models’ predictive accuracy. …”
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