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Journal articles on the topic 'Microprocessor-based prognostic and diagnostic system'

Author: Grafiati

Published: 28 May 2022

Last updated: 30 July 2025

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1

Su, Yan, Hongcai Chen, Chenxuan Gu, Xiangyu Xing, and Xuerui Liang. "Aircraft System State Recognition and Fault Prediction Based on a Test Diagnostic Model." IOP Conference Series: Materials Science and Engineering 1207, no. 1 (2021): 012025. http://dx.doi.org/10.1088/1757-899x/1207/1/012025.

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Abstract The existing testability models for fault prognosis of aircraft systems limit the implementation of prognosis and health management systems. This paper develops a test diagnosis modeling method and relevant algorithms to support dynamic testing and to evaluate fault prognostic ability during aircraft system design. According to the system principles and the complex function structure of aircraft systems, a test diagnostic model is established by integrating testing and prognostic information with a test diagnostic skeleton model using multi-signal flow. New test indexes are identified

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Goh, Yeh Huann. "Data-driven system prognostics and diagnostics for SMT component placement machines." HKIE Transactions 30, no. 1 (2023): 116–23. http://dx.doi.org/10.33430/v30n1thie-2022-0047.

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Prognostic-based maintenance analyses past events and predicts the future state of a machine based on the understanding of the degradation function of the machine’s components. Diagnostics-based maintenance tests equipment according to a fixed routine for a machine’s proper functioning and reliability. Current Surface-mount Technology (SMT) machines are not equipped with self-prognostic and diagnostic functions. In this paper, a system prognostic and diagnostic method is proposed, implemented in software, for estimating a machine’s health condition and faulty components of a SMT component plac

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Tanwar, Monika, Hyunseok Park, and Nagarajan Raghavan. "Multistate Diagnosis and Prognosis of Lubricating Oil Degradation Using Sticky Hierarchical Dirichlet Process–Hidden Markov Model Framework." Applied Sciences 11, no. 14 (2021): 6603. http://dx.doi.org/10.3390/app11146603.

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In this study, we present a state-based diagnostic and prognostic methodology for lubricating oil degradation based on a nonparametric Bayesian approach, i.e., sticky hierarchical Dirichlet process–hidden Markov model (HDP-HMM). An accurate health state-space assessment for diagnostics and prognostics has always been unobservable and hypothetical in the past. The lubrication condition monitoring (LCM) data is generally segregated as “healthy or unhealthy”, representing a binary state-based perspective to the problem. This two-state performance-based formulation poses limitations to the precisi

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Kato, Kikuya, Mitsuaki Shirahata, Yoshitaka Narita, Yoshihiro Muragaki, Motohiko Maruno, and Ryo Matoba. "Validation of a gene expression-based diagnostic system for malignancy of glioma by multi-institute prospective-retrospective analysis." Journal of Clinical Oncology 31, no. 15_suppl (2013): 2066. http://dx.doi.org/10.1200/jco.2013.31.15_suppl.2066.

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2066 Background: Histopathological classification of gliomas is often clinically inadequate due to the diversity of tumors that fall within the same class. Based on the strong correlation between malignancy and gene expression profile in gliomas, we constructed a diagnostic system based on gene expression profiling of 152 glioma samples (Shirahata et al., Cancer Sci, 2009, 100, 165). The diagnostic system was converted to that based on expression value of 27 genes measured with real-time PCR (Kawarazaki et al., BMC Med Genomics, 2010, 3, 52). Methods: First, the diagnostic system was validated

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Zhou, Jun, Xiang Cui, Feifei Xiao, and Guoshuai Cai. "A Cluster-Based Approach for Identifying Prognostic microRNA Signatures in Digestive System Cancers." International Journal of Molecular Sciences 22, no. 4 (2021): 1529. http://dx.doi.org/10.3390/ijms22041529.

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Cancer remains the second leading cause of death all over the world. Aberrant expression of miRNA has shown diagnostic and prognostic value in many kinds of cancer. This study aims to provide a novel strategy to identify reliable miRNA signatures and develop improved cancer prognostic models from reported cancer-associated miRNAs. We proposed a new cluster-based approach to identify distinct cluster(s) of cancers and corresponding miRNAs. Further, with samples from TCGA and other independent studies, we identified prognostic markers and validated their prognostic value in prediction models. We

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Wang, Chun Jian, Yong Zhi Liu, and Hong Jun Fan. "The PHM Research of Vessels Equipment Based on Condition." Advanced Materials Research 605-607 (December 2012): 750–55. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.750.

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For a long time, the monitor and maintain of navy Vessels equipment is based on the traditional maintain theories and plan maintain. But with the development of electronical and digitization, this kind of traditional mode is more and more hard to satisfy the maintaining need of Vessels equipment, and restrict the formation and exaltation of troops fighting strength. Currently the technologies of fault prognostics and integrated health management are becoming regarded, especially on many Vessels equipment systems. The information about abnormal situation of Vessels equipment was received and es

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Lai, Chun-hui, Xu-zhi Liang, Xiu-yun Liang, et al. "Study on miRNAs in Pan-Cancer of the Digestive Tract Based on the Illumina HiSeq System Data Sequencing." BioMed Research International 2019 (October 16, 2019): 1–24. http://dx.doi.org/10.1155/2019/8016120.

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Objective. miRNA has gained attention as a therapeutic target in various malignancies. The proposal of this study was to investigate the biological functions of key miRNAs and target genes in cancers of the digestive tract which include esophageal carcinoma (ESCA), gastric adenocarcinoma (GAC), colon adenocarcinoma (COAD), and rectal adenocarcinoma (READ). Materials and Methods. After screening differentially expressed miRNAs (DEMIs) and differentially expressed mRNAs (DEMs) in four digestive cancers from The Cancer Genome Atlas (TCGA) database, the diagnostic value of above DEMIs was evaluate

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Tang, Yunliang, Cheng Qing, Jiao Wang, and Zhenguo Zeng. "DNA Methylation-based Diagnostic and Prognostic Biomarkers for Glioblastoma." Cell Transplantation 29 (January 1, 2020): 096368972093324. http://dx.doi.org/10.1177/0963689720933241.

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Glioblastomas are the most common primary central nervous system malignancy tumor in adults. Glioblastoma patients have poor prognosis, with an average survival period of approximately 14 mo after diagnosis. To date, there are a limited number of effective treatment methods for glioblastoma, and its molecular mechanisms remain elusive. In this article, we analyzed the key biomarkers and pathways in glioblastoma patients based on gene expression and DNA methylation datasets. The 60 hypomethylated/upregulated genes and 110 hypermethylated/downregulated genes were identified in GSE50923, GSE50161

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Nazaralieva, E. T., V. S. Fedorov, Yu M. Zabrodskaya, et al. "Heat shock proteins as diagnostic and prognostic markers in malignant tumors of the central nervous system." Translational Medicine 9, no. 6 (2023): 5–15. http://dx.doi.org/10.18705/2311-4495-2022-9-6-5-15.

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This review overview current epidemiology data of malignant tumors of the central nervous system, and determines the significance of molecular diagnostics and expression of heat shock proteins in tumorigenesis. Particular attention is paid to the description of molecular chaperones as diagnostic and prognostic markers, as well as the prospects for chaperones using in personalized therapy the central nervous system tumors. The search for literature was carried out on the database platforms Medline (via PubMed) and Scopus, Cochrane Library, The Lancet Public Health Journal published between 1988

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Keizers, Luc, Richard Loendersloot, and Tiedo Tinga. "Towards a Hybrid Framework for Prognostics with Limited Run-to-Failure Data." PHM Society European Conference 8, no. 1 (2024): 12. http://dx.doi.org/10.36001/phme.2024.v8i1.4017.

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The introduction of cyber-physical systems with increased availability of sensor data creates a lot of research interest in prognostic algorithms for predictive maintenance. Although a lot of algorithms are successfully applied to benchmark case studies based on simulated data and experimental set-ups, deploymentin industry lags behind. From a comparison between three benchmark case studies with two real-world case studies based on prognostic metrics (monotonicity, prognosability and trendability), two main issues are observed: 1) the lack of run-to-failures and 2) low prognostic metrics due t

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Lewis, Austin D., and Katrina M. Groth. "A Dynamic Bayesian Network Structure for Joint Diagnostics and Prognostics of Complex Engineering Systems." Algorithms 13, no. 3 (2020): 64. http://dx.doi.org/10.3390/a13030064.

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Dynamic Bayesian networks (DBNs) represent complex time-dependent causal relationships through the use of conditional probabilities and directed acyclic graph models. DBNs enable the forward and backward inference of system states, diagnosing current system health, and forecasting future system prognosis within the same modeling framework. As a result, there has been growing interest in using DBNs for reliability engineering problems and applications in risk assessment. However, there are open questions about how they can be used to support diagnostics and prognostic health monitoring of a com

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Rivas, Andy, Gregory Kyriakos Delipei, Ian Davis, Satyan Bhongale, and Jason Hou. "A system diagnostic and prognostic framework based on deep learning for advanced reactors." Progress in Nuclear Energy 170 (May 2024): 105114. http://dx.doi.org/10.1016/j.pnucene.2024.105114.

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Qiu, Yuanjie, Yan Wang, Nirui Shen, et al. "Nomograms for Predicting Coexisting Cardiovascular Disease and Prognosis in Chronic Obstructive Pulmonary Disease: A Study Based on NHANES Data." Canadian Respiratory Journal 2022 (June 9, 2022): 1–13. http://dx.doi.org/10.1155/2022/5618376.

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Background. Chronic obstructive pulmonary disease (COPD) is a common chronic disease. Progression is further exacerbated by the coexistence of cardiovascular disease (CVD). We aim to construct a diagnostic nomogram for predicting the risk of coexisting CVD and a prognostic nomogram for predicting long-term survival in COPD. Methods. The 540 eligible participants selected from the NHANES 2005–2010 were included in this study. Logistic regression analysis was used to construct a diagnostic nomogram for the diagnosis of coexisting CVD in COPD. Cox regression analyses were used to construct a prog

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El Hadraoui, Hicham, Mourad Zegrari, Fatima-Ezzahra Hammouch, Nasr Guennouni, Oussama Laayati, and Ahmed Chebak. "Design of a Customizable Test Bench of an Electric Vehicle Powertrain for Learning Purposes Using Model-Based System Engineering." Sustainability 14, no. 17 (2022): 10923. http://dx.doi.org/10.3390/su141710923.

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Nowadays, electric vehicles attract significant attention because of the increasingly stringent exhaust emission policies all over the world. Moreover, with the fast expansion of the sustainable economy, the demand for electric vehicles is expanding. In the recent age, maintenance has seriously hampered the marketing and use of electric automobiles. As a result, the technique for maintaining electric vehicles is regarded as vital since it directly affects the security and availability for the end user and the passengers. Another key aspect of electric mobility is the integration of artificial

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Ghasemi, Elham, Mahdieh Mondanizadeh, Amir Almasi-Hashiani, and Elyar Mahboobi. "The significance of miR-124 in the diagnosis and prognosis of glioma: A systematic review." PLOS ONE 19, no. 11 (2024): e0312250. http://dx.doi.org/10.1371/journal.pone.0312250.

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Glioma is a type of cancer that affects the central nervous system and necessitates a non-invasive diagnostic and prognostic assessment. MicroRNAs (miRNAs) play a crucial role in glioma and can provide valuable information about the prognosis of patients with this condition. MiR-124 is associated with molecules that play crucial roles in cellular processes, and any disruption in its expression can have a detrimental effect on cells, potentially leading to cancer. Therefore, miR-124 can be a valuable biomarker for diagnosis and prognosis in glioma. This review aims to highlight the role of miR-

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Takahashi, Kuniyuki, Yuka Morita, Manabu Ogi, et al. "Optimal Diagnostic Criteria and a Staging System for Otogenic Skull Base Osteomyelitis." Journal of Neurological Surgery Part B: Skull Base 83, S 02 (2021): e484-e491. http://dx.doi.org/10.1055/s-0041-1732308.

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Abstract Objective Diagnostic criteria for otogenic skull base osteomyelitis (SBO) have been conflicting among researchers. We aimed to propose clinically useful diagnostic criteria and a staging system for otogenic SBO that is associated with infection control and mortality. Design The present study is designed as a retrospective one. Setting This study was conducted at the University Hospital. Participants Thirteen patients with otogenic SBO who met the novel rigorous diagnostic criteria consisted of symptomatic and radiological signs on high-resolution computed tomography (HRCT) and magneti

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Yang, Xiaolin, Hongzhi Sun, Ying Song, Li Yang, and Haibo Liu. "Diagnostic and prognostic values of upregulated SPC25 in patients with hepatocellular carcinoma." PeerJ 8 (July 16, 2020): e9535. http://dx.doi.org/10.7717/peerj.9535.

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Background Spindle pole body component 25 (SPC25) plays a vital role in many cellular processes, such as tumorigenesis. However, the clinical significance of SPC25 in hepatocellular carcinoma (HCC) has not been investigated. This study aimed to explore the expression patterns of SPC25 in HCC and non-neoplastic tissues and to investigate the diagnostic and prognostic values of SPC25. Method The expression of SPC25 was examined in 374 HCC issues and 50 non-neoplastic tissues from The Cancer Genome Atlas (TCGA) cohort. The diagnostic and prognostic values of SPC25 were analyzed via receiver opera

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Bouaicha, Mohammed, Imad El Adraoui, Nadia Machkour, Hassan Gziri, and Mourad Zegrari. "Diagnostic and Prognostic Models for Predictive Maintenance: Multi-Criteria Comparative Analysis." International Journal of Emerging Technology and Advanced Engineering 11, no. 10 (2021): 40–49. http://dx.doi.org/10.46338/ijetae1021_05.

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Predictive maintenance has evolved considerably over the past two decades making this strategy an effective way to monitor the operation of industrial systems, thereby predicting its future states and remaining lifespan. It is therefore developed through a process that begins with the collection of information from the industrial system, the objective of which is its diagnosis or / and its prognosis. This article presents an analysis of single-model and multi-model approaches to the effect of diagnostic and prognostic tasks. This analysis is based on a multi-criteria comparison of the differen

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Hagmeyer, Simon, Peter Zeiler, and Marco F. Huber. "On the Integration of Fundamental Knowledge about Degradation Processes into Data-Driven Diagnostics and Prognostics Using Theory-Guided Data Science." PHM Society European Conference 7, no. 1 (2022): 156–65. http://dx.doi.org/10.36001/phme.2022.v7i1.3352.

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In Prognostics and Health Management, there are three main approaches for implementing diagnostic and prognostic applications. These approaches are data-driven methods, physical model-based methods, and combinations of them, in the form of hybrid methods. Each of them has specific advantages but also limitations for their purposeful implementation. In the case of data-driven methods, one of the main limitations is the availability of sufficient training data that adequately cover the relevant state space. For model-based methods, on the other hand, it is often the case that the degradation pro

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Bogdanovic, Andrija, Dragomir Marisavljevic, and Aleksandar Savic. "Diagnosis, classification, and prognosis of myelodysplastic syndromes." Medical review 75, Suppl. 1 (2022): 25–31. http://dx.doi.org/10.2298/mpns22s1025b.

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Introduction. Myelodysplastic syndromes represent clonal neoplastic disorders characterized by hematological dysplasia, ineffective hematopoiesis, cytopenia, and increased risk of transformation to acute myeloid leukemia. Material and Methods. A literature review was conducted using the following bibliographic databases: Google Scholar, MEDLINE, and Kobson. The recommendations for diagnosis, classification, and prognosis are based on expert opinions grounded on a review of the literature and contemporary recommendations for diagnosis and prognosis in myelodysplastic syndrome. Diagnosis and cla

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Iwai, Hiroshi, Kaoru Nakae, Koshi Ikeda, et al. "Kimura Disease: Diagnosis and Prognostic Factors." Otolaryngology–Head and Neck Surgery 137, no. 2 (2007): 306–11. http://dx.doi.org/10.1016/j.otohns.2007.03.027.

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OBJECTIVES: To establish a preoperative diagnostic system and examine prognostic factors for Kimura disease. STUDY DESIGN: Retrospective study. SETTING: Hospital records were reviewed for nine cases of Kimura disease treated in our department. Preoperative eosinophil counts for 74 cases with untreated malignancy in the parotid gland were also examined. RESULTS: Parotid swelling with inhomogeneities and subcutaneous invasion on magnetic resonance imaging and eosinophils > 10.5 percent in Asian patients clearly indicates Kimura disease. Eosinophils > 50 percent, serum IgE levels > 10,00

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Dybkær, Karen, Martin Bøgsted, Steffen Falgreen, et al. "Diffuse Large B-Cell Lymphoma Classification System That Associates Normal B-Cell Subset Phenotypes With Prognosis." Journal of Clinical Oncology 33, no. 12 (2015): 1379–88. http://dx.doi.org/10.1200/jco.2014.57.7080.

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Purpose Current diagnostic tests for diffuse large B-cell lymphoma use the updated WHO criteria based on biologic, morphologic, and clinical heterogeneity. We propose a refined classification system based on subset-specific B-cell–associated gene signatures (BAGS) in the normal B-cell hierarchy, hypothesizing that it can provide new biologic insight and diagnostic and prognostic value. Patients and Methods We combined fluorescence-activated cell sorting, gene expression profiling, and statistical modeling to generate BAGS for naive, centrocyte, centroblast, memory, and plasmablast B cells from

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Verma, Seemitr, Ruchee Khana, Vinay Khanna, Saisreeram Kandula, Vikram Ram Rajgopal, and Vishnu Prasad. "Platelet-based biomarkers: A new frontier in inflammation monitoring for respiratory infections." F1000Research 14 (March 25, 2025): 328. https://doi.org/10.12688/f1000research.161124.1.

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Background Platelets play a crucial role in haemostasis and have emerging functions in inflammation, particularly in respiratory infections like pulmonary tuberculosis (PTB) and pneumonia. The objective of this study was to investigate alterations in platelet parameters and their relationship with erythrocyte sedimentation rate (ESR) in PTB and pneumonia patients, comparing them to healthy controls, to evaluate their diagnostic and prognostic potential. Methods This retrospective case-control study was conducted at a tertiary care center, involving 450 participants: 158 PTB patients, 142 pneum

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Vazhinskiy, Anton, and Stanislav Fedorovich Zhukov. "Methodology for assessing the resource of power equipment of metallurgical workshops." Bulletin of the National Technical University "KhPI". Series: Energy: Reliability and Energy Efficiency, no. 2 (3) (December 30, 2021): 44–48. http://dx.doi.org/10.20998/2224-0349.2021.02.14.

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Prognostic is central to manufacturing and infrastructure management. The development of new methods for determining the residual resource of equipment is an important task aimed at increasing the efficiency of using industrial electrical complexes. Solving the problem of reliably determining the state of power equipment in the mining and metallurgical complex makes it possible to move from an outdated system of scheduled preventive maintenance to maintenance based on the current state of the unit. Complex technical systems are characterized by complex nonlinear interactions between their cons

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Hong, Junshik. "Diagnosis and Treatment of Myelodysplastic Syndrome in the Era of Genetic Testing." Korean Journal of Medicine 99, no. 1 (2024): 11–16. http://dx.doi.org/10.3904/kjm.2024.99.1.11.

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Myelodysplastic syndrome (MDS) is a heterogeneous disorder with diverse prognoses influenced by cytopenias, genetic variants, and myeloblast proportions in the bone marrow. Accurate prognosis prediction and tailored treatment plans are essential. The International Prognostic Scoring System-Molecular (IPSS-M), which additionally reflects the impact of MDS-related genetic mutations to the clinical and laboratory information, is anticipated to offer superior prognostic accuracy compared to existing systems like the Revised International Prognostic Scoring System (IPSS-R). Despite its statistical

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Tsoutsanis, Elias, Yi-Guang Li, Pericles Pilidis, and Mike Newby. "Non-linear model calibration for off-design performance prediction of gas turbines with experimental data." Aeronautical Journal 121, no. 1245 (2017): 1758–77. http://dx.doi.org/10.1017/aer.2017.96.

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ABSTRACTOne of the key challenges of the gas turbine community is to empower the condition based maintenance with simulation, diagnostic and prognostic tools which improve the reliability and availability of the engines. Within this context, the inverse adaptive modelling methods have generated much attention for their capability to tune engine models for matching experimental test data and/or simulation data. In this study, an integrated performance adaptation system for estimating the steady-state off-design performance of gas turbines is presented. In the system, a novel method for compress

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Georgievskaia, Evgeniia. "Limitations of Modern Diagnostic and Prognostic Systems for a Hydraulic Unit’s Health." Eng 2, no. 1 (2021): 27–42. http://dx.doi.org/10.3390/eng2010003.

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Modern diagnostic systems for the hydraulic unit’s health play an important role in ensuring the reliability and safety of the hydroelectric power plant (HPP). However, they cannot provide timely detection of such dangerous operational defects as fatigue cracks. This article reflects two main reasons for this problem. The first one is a high level of the individuality of hydraulic units, which does not allow the effective use of statistical methods of information processing, including BIG DATA and MACHINE LEARNING technologies. The second is the fundamental impossibility to identify cracks in

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Bublil, Tal, Roee Cohen, Ron S. Kenett, and Jacob Bortman. "Machine Health Indicators and Digital Twins." Sensors 25, no. 7 (2025): 2246. https://doi.org/10.3390/s25072246.

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Health indicators (HIs) are quantitative indices that assess the condition of engineering systems by linking sensor data with monitoring, diagnostic, and prognostic methods to estimate the remaining useful life (RUL). Digital twins (DTs), which serve as digital representations of physical assets, enhance system monitoring, diagnostics, and prognostics by operationalizing analytic capabilities derived from sensor data. This paper explores the integration of HIs and DTs, illustrating their roles in condition-based maintenance and structural health monitoring. The methodologies discussed span dat

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Mirchia, Kanish, and Timothy E. Richardson. "Beyond IDH-Mutation: Emerging Molecular Diagnostic and Prognostic Features in Adult Diffuse Gliomas." Cancers 12, no. 7 (2020): 1817. http://dx.doi.org/10.3390/cancers12071817.

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Diffuse gliomas are among the most common adult central nervous system tumors with an annual incidence of more than 16,000 cases in the United States. Until very recently, the diagnosis of these tumors was based solely on morphologic features, however, with the publication of the WHO Classification of Tumours of the Central Nervous System, revised 4th edition in 2016, certain molecular features are now included in the official diagnostic and grading system. One of the most significant of these changes has been the division of adult astrocytomas into IDH-wildtype and IDH-mutant categories in ad

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Neill, Stewart G., Debra F. Saxe, Michael R. Rossi, Matthew J. Schniederjan, and Daniel J. Brat. "Genomic Analysis in the Practice of Surgical Neuropathology: The Emory Experience." Archives of Pathology & Laboratory Medicine 141, no. 3 (2017): 355–65. http://dx.doi.org/10.5858/arpa.2016-0276-sai.

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The evaluation of central nervous system tumors increasingly relies on molecular genetic methods to aid in classification, offer prognostic information, and predict response to therapy. Available assays make it possible to assess genetic losses, amplifications, translocations, mutations, or the expression levels of specific gene transcripts or proteins. Current molecular diagnostics frequently use a panel-based approach and whole genome analysis, and generally rely either on DNA sequencing or on hybridization-based methodologies, such as those used in cytogenomic microarrays. In some cases, im

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Calabrese, Francesca, Alberto Regattieri, Marco Bortolini, Mauro Gamberi, and Francesco Pilati. "Predictive Maintenance: A Novel Framework for a Data-Driven, Semi-Supervised, and Partially Online Prognostic Health Management Application in Industries." Applied Sciences 11, no. 8 (2021): 3380. http://dx.doi.org/10.3390/app11083380.

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Prognostic Health Management (PHM) is a predictive maintenance strategy, which is based on Condition Monitoring (CM) data and aims to predict the future states of machinery. The existing literature reports the PHM at two levels: methodological and applicative. From the methodological point of view, there are many publications and standards of a PHM system design. From the applicative point of view, many papers address the improvement of techniques adopted for realizing PHM tasks without covering the whole process. In these cases, most applications rely on a large amount of historical data to t

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Mirmoeeni, Seyyedmohammadsadeq, Amirhossein Azari Jafari, Muffaqam Shah, Fateme Salemi, Seyedeh Zohreh Hashemi, and Ali Seifi. "The Clinical, Diagnostic, Therapeutic, and Prognostic Characteristics of Brain Metastases in Prostate Cancer: A Systematic Review." Prostate Cancer 2022 (November 27, 2022): 1–18. http://dx.doi.org/10.1155/2022/5324600.

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Aim. Prostate cancer (PCa) is the second most common nonskin malignancy and the second most common cause of cancer-related deaths in men. The most common site of metastasis in PCa is the axial skeleton which may lead to back pain or pathological fractures. Hematogenous spread to the brain and involvement of the central nervous system (CNS) are a rare occurrence. However, failed androgen deprivation therapy (ADT) may facilitate such a spread resulting in an advanced metastatic stage of PCa, which carries a poor prognosis. Methods. In this systematic review, we searched the PubMed, Scopus, and W

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Fasanotti, Luca, Sergio Cavalieri, Emanuele Dovere, Paolo Gaiardelli, and Carlos E. Pereira. "An artificial immune intelligent maintenance system for distributed industrial environments." Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability 232, no. 4 (2018): 401–14. http://dx.doi.org/10.1177/1748006x18769208.

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Maintenance services of geographically dispersed industrial applications, such as oil transfer systems via pipelines and wastewater treatment plants, are affected by high logistics costs and risks of permanent downtimes. The increasing availability of smart technologies and devices has led to the introduction of advanced prognostic and diagnostic systems to support maintenance activities. In this context, artificial immune systems support the development of industrial applications, where machines and equipment are capable of self-repairing, healing and learning due to their ability to learn fr

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Nguyen Thu Hien, Nguyen Phuong Nhung, and Nguyen Tuan Linh. "Adaptive neuro-fuzzy inference system classifier with interpretability for cancer diagnostic." Journal of Military Science and Technology, CSCE6 (December 30, 2022): 56–64. http://dx.doi.org/10.54939/1859-1043.j.mst.csce6.2022.56-64.

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Clinical outcome analysis using patient medical data facilitates clinical decision-making and increases prognostic accuracy. Recently, deep learning (DL) with learning big data features has shown expert-level accuracy in predicting clinical outcomes. Many of these sophisticated machine learning models, however, lack interpretability, creating significant trust-related healthcare issues. This necessarily requires the need for interpretable AI systems capable of explaining their decisions. In this respect, the paper proposes an interpretable classifier of the adaptive neuro-fuzzy inference metho

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Savardekar, AmeyR, MayurV Kaku, Yasha Muthane, A. Arivazhagan, and MallaBhaskara Rao. "Primary central nervous system dural-based anaplastic large cell lymphoma: Diagnostic considerations, prognostic factors, and treatment modalities." Neurology India 65, no. 2 (2017): 402. http://dx.doi.org/10.4103/neuroindia.ni_1272_15.

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Spyridonos, P., D. Cavouras, P. Ravazoula, and G. Nikiforidis. "A computer-based diagnostic and prognostic system for assessing urinary bladder tumour grade and predicting cancer recurrence." Medical Informatics and the Internet in Medicine 27, no. 2 (2002): 111–22. http://dx.doi.org/10.1080/1463923021000043723.

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Xian, Rena R. "How to classify risk based on clinical and molecular modeling: integrating molecular markers in the risk assessment of myelodysplastic syndrome." Hematology 2023, no. 1 (2023): 51–58. http://dx.doi.org/10.1182/hematology.2023000420.

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Abstract Myelodysplastic syndrome (MDS), also known as “myelodysplastic neoplasm,” is a heterogeneous group of clonal myeloid neoplasms that typically affects older adults. The clinical phenotype, symptoms, and complications relate to the depth of cytopenia and progression to acute myeloid leukemia (AML). The diagnosis of MDS relies on morphologic criteria, such as evidence of dysplasia, disordered maturation, and increasing blast counts, which separate the disease into histologic subtypes with different probabilities for progression to AML. The treatment of MDS is often risk-adapted depending

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El hadraoui, Hicham, Ahmed Chebak, and Mourad Zegrari. "Design of a versatile diagnostic test bench of an electric vehicle’s powertrain for educational purpose using a Model-based system engineering." E3S Web of Conferences 336 (2022): 00058. http://dx.doi.org/10.1051/e3sconf/202233600058.

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With the rapid development of the sustained economy, the sales of electric vehicles are increasingly pressing, and today the maintenance has severely impeded the marketing and usage of electric vehicles. The maintenance procedure for electric vehicles is considered a critical process, tell its affect the security and availability directly with the passengers. Many of research efforts are still devoted to develop and innovate on electric traction systems diagnostic and prognostic. Furthermore, in high-quality education, especially engineering education, topics concerning the vital and actual co

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Pan, Hai Yang, Shu Nan Liu, Yong Ming Yao, and Yi Lin Jiang. "Fault Diagnostic of Electro-Hydraulic Servo Valve." Advanced Materials Research 619 (December 2012): 259–63. http://dx.doi.org/10.4028/www.scientific.net/amr.619.259.

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In order to achieve the fault diagnostic and degradation assessment of the electro-hydraulic servo valve, a system of prognostic and health management based on the data-driven approach for the electro-hydraulic servo valve is presented. FMMEA performed in this study considered the degree of sub-components in electro-hydraulic servo valve. In order to use only five parameters to assess the cause of degradation, a physical model of the EH servo valve was built up to simulate the failure modes. The simulation results are very useful because the methods can be applied to assess the cause of degrad

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Chu, Sung-Chao, Tso-Fu Wang, Chi-Cheng Li, et al. "Flow Cytometric Scoring System as a Diagnostic and Prognostic Tool In Myelodysplastic Syndromes." Blood 116, no. 21 (2010): 1875. http://dx.doi.org/10.1182/blood.v116.21.1875.1875.

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Abstract Abstract 1875 Introduction: The aim of this study is to validate the clinical utility of a flow cytometric scoring system (FCSS) (1)in the diagnosis and prognosis of MDS by quantifying myeloid and monocytic dyspoiesis and correlating the accumulation of abnormalities to clinical outcome. Methods: The BM samples were characterized by the FCSS from 56 consecutive, newly diagnosed MDS patients who were morphologically classified as RA (n=3), MDS-U (n=1), RCMD/RCMD-RS (n=32), RAEB-1 (n=12) and RAEB-2 (n=8) from January 2005 to December 2009. Three-color FCM was performed on total noneryth

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Nataliya, Nekrasova, Tovazhnyanskaovazhnyanska O, and Rhea Singh. "Diagnostic importance of phenotypic features of undifferentiated connective tissue dysplasia in spondylogenic vertebro-basilar insufficiency." BOHR International Journal of Neurology and Neuroscience 2, no. 1 (2024): 23–28. http://dx.doi.org/10.54646/bijnn.2024.16.

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Background: The circulatory insufficiency in the vertebrobasilar system is significantly influenced by the spondylogenic mechanism. To understand the degenerative-dystrophic changes in the cervical spine, an assessment of the connective tissue’s condition is required. The primary contributor to pathological conditions of connective tissue is undifferentiated connective tissue dysplasia (UCTD). Aim: To assess the predictive importance of constitutional-biological markers (CBM) of UCTD in patients with spondylogenic vertebro-basilar insufficiency. Materials and Methods: The research was carried

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Yagin, Fatma Hilal, Ahmadreza Shateri, Hamid Nasiri, Burak Yagin, Cemil Colak, and Abdullah F. Alghannam. "Development of an expert system for the classification of myalgic encephalomyelitis/chronic fatigue syndrome." PeerJ Computer Science 10 (March 20, 2024): e1857. http://dx.doi.org/10.7717/peerj-cs.1857.

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Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) is a severe condition with an uncertain origin and a dismal prognosis. There is presently no precise diagnostic test for ME/CFS, and the diagnosis is determined primarily by the presence of certain symptoms. The current study presents an explainable artificial intelligence (XAI) integrated machine learning (ML) framework that identifies and classifies potential metabolic biomarkers of ME/CFS. Metabolomic data from blood samples from 19 controls and 32 ME/CFS patients, all female, who were between age and body mass index (BMI) frequenc

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Ma, Jiong, Pu Cheng, Xuejun Chen, Chunxia Zhou, and Wei Zheng. "Mining of prognosis-related genes in cervical squamous cell carcinoma immune microenvironment." PeerJ 8 (August 24, 2020): e9627. http://dx.doi.org/10.7717/peerj.9627.

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Purpose The aim of this study was to explore the effective immune scoring method and mine the novel and potential immune microenvironment-related diagnostic and prognostic markers for cervical squamous cell carcinoma (CSSC). Materials and Methods The Cancer Genome Atlas (TCGA) data was downloaded and multiple data analysis approaches were initially used to search for the immune-related scoring system on the basis of Estimation of STromal and Immune cells in MAlignant Tumour tissues using Expression data (ESTIMATE) algorithm. Afterwards, the representative genes in the gene modules correlated w

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Zheng, Wangyang, Yuling Zheng, Xue Bai, et al. "RPNs Levels Are Prognostic and Diagnostic Markers for Hepatocellular Carcinoma." Journal of Oncology 2022 (August 29, 2022): 1–17. http://dx.doi.org/10.1155/2022/7270541.

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The ribophorin family (RPN) is an essential regulatory subunit of the proteasome. By influencing the ubiquitin-proteasome system activity, ribophorins (RPNs) are responsible for almost all physiology and pathology processes of mammalian cells. Nevertheless, little is known about the role of RPNs in HCC. In this work, we first evaluated the transcriptional levels and the prognostic and diagnostic value of RPNs based on the public database. Firstly, we found all RPNs were surprisingly consistently upregulated in HCC tissues. Moreover, the RPNs’ expression pattern is correlated with HCC tumor gra

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Soualhi, Moncef, Ahmed Ragab, T. P. Khanh Nguyen, Kamal Medjaher, Hakim Ghezzaz, and Mouloud Amazouz. "Data Analytics Methodology for Construction of Fouling Prognostic Indicators: Towards Cost-Effective Maintenance Scheduling." PHM Society European Conference 6, no. 1 (2021): 8. http://dx.doi.org/10.36001/phme.2021.v6i1.2886.

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Data-driven prognostics and health management solutions play an important role for condition monitoring of industrial systems. They offer promising perspectives for high reliability, availability, maintainability, and safety production, especially in Industry 4.0 where model-based approaches are not suitable for complex systems. To build an efficient diagnostic and prognostic model, the collected sensor measurements are injected into processing algorithms to extract features and construct health indicators. The performance of this procedure strictly depends on the data quality. However, the av

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Berri, Pier Carlo, Matteo D. L. Dalla Vedova, Paolo Maggiore, and Francesco Viglione. "A simplified monitoring model for PMSM servoactuator prognostics." MATEC Web of Conferences 304 (2019): 04013. http://dx.doi.org/10.1051/matecconf/201930404013.

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Electromechanical actuators (EMAs) based on Permanent Magnet Synchronous Motors (PMSMs) are currently employed on various aircraft systems, and are becoming more and more widespread in safety critical applications. Compared to other electrical machines, PMSM offer a high power to weight ratio and low cogging: this makes them suited for position control and actuation tasks. EMAs offer several advantages over hydraulic servoactuators, in terms of modularity, mechanical simplicity, overall weight and fuel efficiency. At the same time, their basic reliability is inherently lower compared to hydrau

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Salvi, Flavia, Daniela Gioia, Daniela Cilloni, et al. "Prognostic Role of Transfusion Requirement and Validation of the IPSS Prognostic System in Myelodisplastic Syndromes." Blood 108, no. 11 (2006): 2622. http://dx.doi.org/10.1182/blood.v108.11.2622.2622.

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Abstract BACKGROUND. The International Prognostic Scoring System (IPSS) of myelodysplastic syndromes (MDS) is based on bone marrow blast count, cytogenetic features and number of peripheral cytopenias. Transfusion requirement has been recently proposed as an important risk factor (Malcovati et al JCO23, 7594, 2005), and a new prognostic system (WPSS) has been suggested, based on WHO diagnostic subgroups, cytogenetic abnormalities and transfusion requirements (2005 ASH meeting abs.789). AIM OF THE WORK. To confirm the prognostic role of transfusion requirement and to compare the prognostic valu

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A., VAZHYNSKYI, та ZHUKOV S. "МЕТОДИКА ОЦЕНКИ РЕСУРСА ЭНЕРГЕТИЧЕСКОГО ОБОРУДОВАНИЯ МЕТАЛЛУРГИЧЕСКИХ ЦЕХОВ". Journal of Electrical and power engineering 25, № 2 (2021): 6–11. http://dx.doi.org/10.31474/2074-2630-2021-2-6-11.

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Prognostic is central to manufacturing and infrastructure management. The development of new methods for determining the residual resource of equipment is an important task aimed at increasing the efficiency of using industrial electrical complexes. Solving the problem of reliably determining the state of power equipment in the mining and metallurgical complex makes it possible to move from an outdated system of scheduled preventive maintenance to maintenance based on the current state of the unit. Complex technical systems are characterized by complex nonlinear interactions between their cons

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Kim, Seon-Kyu, Seon-Young Kim, Chan Wook Kim, et al. "A prognostic index based on an eleven gene signature to predict systemic recurrences in colorectal cancer." Experimental & Molecular Medicine 51, no. 10 (2019): 1–12. http://dx.doi.org/10.1038/s12276-019-0319-y.

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Abstract Approximately half of colorectal cancer (CRC) patients experience disease recurrence and metastasis, and these individuals frequently fail to respond to treatment due to their clinical and biological diversity. Here, we aimed to identify a prognostic signature consisting of a small gene group for precisely predicting CRC heterogeneity. We performed transcriptomic profiling using RNA-seq data generated from the primary tissue samples of 130 CRC patients. A prognostic index (PI) based on recurrence-associated genes was developed and validated in two larger independent CRC patient cohort

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Fan, Zhiyi, Changxing Chi, Yuexin Tong, Zhangheng Huang, Youxin Song, and Shengjie You. "Score for the Risk and Overall Survival of Lung Metastasis in Patients First Diagnosed With Soft Tissue Sarcoma: A Novel Nomogram-Based Risk Assessment System." Technology in Cancer Research & Treatment 21 (January 2022): 153303382110662. http://dx.doi.org/10.1177/15330338211066240.

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Background: Metastatic soft tissue sarcoma (STS) patients have a poor prognosis with a 3-year survival rate of 25%. About 30% of them present lung metastases (LM). This study aimed to construct 2 nomograms to predict the risk of LM and overall survival of STS patients with LM. Materials and Methods: The data of patients were derived from the Surveillance, Epidemiology, and End Results database during the period of 2010 to 2015. Logistic and Cox analysis was performed to determine the independent risk factors and prognostic factors of STS patients with LM, respectively. Afterward, 2 nomograms w

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