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Artykuły w czasopismach na temat "Evaluation Coupling Graph (ECG)"

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Li, Zhuojian, Guanxing Chen, Guang Tan, and Calvin Yu-Chian Chen. "CoupleMDA: Metapath-Induced Structural-Semantic Coupling Network for miRNA-Disease Association Prediction." International Journal of Molecular Sciences 26, no. 10 (2025): 4948. https://doi.org/10.3390/ijms26104948.

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The prediction of microRNA-disease associations (MDAs) is crucial for understanding disease mechanisms and biomarker discovery. While graph neural networks have emerged as promising tools for MDA prediction, existing methods face critical limitations: (1) data leakage caused by improper use of Gaussian interaction profile (GIP) kernel similarity during feature construction, (2) self-validation loops in calculating miRNA functional similarity using known MDA data, and (3) information bottlenecks in conventional graph neural network (GNN) architectures that flatten heterogeneous relationships an
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Zhao, Zhiyao, Xuanhao Li, Xiaoyu Cui, and Xin Zhang. "Fault Coupling Analysis and Reliability Assessment of Actuation System Based on Bond Graph Model." Applied Sciences 13, no. 13 (2023): 7462. http://dx.doi.org/10.3390/app13137462.

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In this paper, a new degradation model of the more electrical aircraft (MEA) actuation system is proposed. The bond graph model is used to build the dissimilar redundancy actuation system model, taking into account the degradation behavior (wear, fatigue, aging) of components in the system operation and the fault coupling phenomenon caused by the accumulation of dissipated energy in space and time, and a fault coupling degradation model of the actuation system is established with clear mechanism support. Through the fault mechanism analysis, various fault types are injected into the bond graph
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Xu, Xiaolin. "RCA Analysis of Multi-Source Faults in Autonomous Driving." International Journal of Information System Modeling and Design 16, no. 1 (2025): 1–28. https://doi.org/10.4018/ijismd.373424.

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This strategy is proposed to address the safety issues caused by inaccurate fault localization and unclear boundary delineation of fault hazard due to the coupling and correlation of multi-source heterogeneous faults in autonomous driving. Construct a multi-source fault entity model using a knowledge graph, locally interpret the characteristics of each fault attribute, and integrate asynchronous message queues and linked data object encoding to handle nested relationships between fault entities; Further utilize the Analytic Hierarchy Process to establish a fault structure evaluation model and
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Entezari, Amin, Farzad Kamali, Shabnam Madadi, et al. "Investigating the Correlation between Electrocardiographic Parameters and the Occurrence of Clinical Symptoms in Patients with Idiopathic Premature Ventricular Contractions." Research in Cardiovascular Medicine 14, no. 2 (2025): 94–97. https://doi.org/10.4103/rcm.rcm_17_25.

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Abstract Background: This study aimed to investigate the correlation between electrocardiographic (ECG) parameters of premature ventricular contraction (PVC) morphology and clinical outcomes, including symptom burden and health-related quality of life (HRQoL). Materials and Methods: This observational study at Rajaie Cardiovascular Center examined the relationship between PVC ECG parameters and HRQoL in patients undergoing ablation for idiopathic PVCs. Data on demographics, echocardiography, and ECG parameters were collected. The study received ethical approval, and statistical analysis was pe
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Liu, Lihua, Jing Huang, and Huimin Wang. "Visibility Graph Power Geometric Aggregation Operator and Its Application in Water, Energy and Food Efficiency Evaluation." International Journal of Environmental Research and Public Health 17, no. 11 (2020): 3891. http://dx.doi.org/10.3390/ijerph17113891.

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In the real decision-making process, there are so many time series values that need to be aggregated. In this paper, a visibility graph power geometric (VGPG) aggregation operator is developed, which is based on the complex network and power geometric operator. Time series data are converted into a visibility graph. A visibility matrix is developed to denote the links among different time series values. A new support function based on the distance of two values are proposed to measure the support degree of each other when the two time series values have visibility. The VGPG operator considers
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Perpetuini, David, Antonio Maria Chiarelli, Lidia Maddiona, et al. "Multi-Site Photoplethysmographic and Electrocardiographic System for Arterial Stiffness and Cardiovascular Status Assessment." Sensors 19, no. 24 (2019): 5570. http://dx.doi.org/10.3390/s19245570.

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The development and validation of a system for multi-site photoplethysmography (PPG) and electrocardiography (ECG) is presented. The system could acquire signals from 8 PPG probes and 10 ECG leads. Each PPG probe was constituted of a light-emitting diode (LED) source at a wavelength of 940 nm and a silicon photomultiplier (SiPM) detector, located in a back-reflection recording configuration. In order to ensure proper optode-to-skin coupling, the probe was equipped with insufflating cuffs. The high number of PPG probes allowed us to simultaneously acquire signals from multiple body locations. T
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Hua, Xian, Jing Li, Ting Wang, et al. "Evaluation of movement functional rehabilitation after stroke: A study via graph theory and corticomuscular coupling as potential biomarker." Mathematical Biosciences and Engineering 20, no. 6 (2023): 10530–51. http://dx.doi.org/10.3934/mbe.2023465.

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<abstract> <p>Changes in the functional connections between the cerebral cortex and muscles can evaluate motor function in stroke rehabilitation. To quantify changes in functional connections between the cerebral cortex and muscles, we combined corticomuscular coupling and graph theory to propose dynamic time warped (DTW) distances for electroencephalogram (EEG) and electromyography (EMG) signals as well as two new symmetry metrics. EEG and EMG data from 18 stroke patients and 16 healthy individuals, as well as Brunnstrom scores from stroke patients, were recorded in this paper. Fi
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Huang, Meng, Bo Li, Xiaoyun Chen, Qineng Zhuang, and Yanbing Guo. "Study of critical deviation transfer for assembly of complex structural parts of aircraft." Journal of Physics: Conference Series 2746, no. 1 (2024): 012002. http://dx.doi.org/10.1088/1742-6596/2746/1/012002.

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Abstract In current assembly process of the aircraft complex structural parts, there are problems such as nonlinear, multilevel strong coupling and large uncertainty transfer relationship between assembly quality and its deviation sources. In this paper, an assembly deviation transfer method based on transfer entropy network graph is proposed to address the challenges. Firstly, the source of assembly deviation is analysed by constructing a multi-level assembly coordination network with assembly deviation detection data. Secondly, an assembly deviation propagation model is established by combin
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Berselli, Giovanni, Rocco Vertechy, Mitja Babič, and Vincenzo Parenti Castelli. "Dynamic modeling and experimental evaluation of a constant-force dielectric elastomer actuator." Journal of Intelligent Material Systems and Structures 24, no. 6 (2012): 779–91. http://dx.doi.org/10.1177/1045389x12457251.

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Constant-force actuators based on dielectric elastomers can be obtained by coupling a dielectric elastomer film with particular compliant frames whose structural properties must be carefully designed. In any case, the practical achievement of a desired force profile can be quite a challenging task owing to the time-dependent phenomena, which affect the dielectric elastomer’s electromechanical response. Within this scenario, a hyperviscoelastic model of a rectangular constant-force actuator is reported. The model, based on the bond graph formalism, can be used as an engineering tool when design
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Orlova, Е. А., О. S. Tarasova, V. D. Son'kin, and А. S. Borovik. "INFLUENCE OF THE AGE ON BAROREFLEX SYNCHRONIZATION OF ARTERIAL PRESSURE AND HEART RATE DURING THE PASSIVE STANDING TEST." Aerospace and Environmental Medicine 55, no. 1 (2021): 46–50. http://dx.doi.org/10.21687/0233-528x-2021-55-1-46-50.

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Age-related changes in phase synchronization of spontaneous blood pressure (BP) and heart rate (HR) fluctuations within the baroreflex wave range (about 0.1 Hz) were studied in 66 subjects aged 20 to 52 years. Measurements performed during the head-up tilt test included continuous BP monitoring using the volume-compensation method, ECG recording for ensuing HR calculation, and breathing rate recording. The phase synchronization index (PSI) was used for evaluation of BP-HR coupling. In supine position, phase synchronization in the subjects over 40 years was higher as compared with their counter
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Rozprawy doktorskie na temat "Evaluation Coupling Graph (ECG)"

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Ojha, Prakhar. "Utilizing Worker Groups And Task Dependencies in Crowdsourcing." Thesis, 2017. http://etd.iisc.ac.in/handle/2005/4265.

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Crowdsourcing has emerged as a convenient mechanism to collect human judgments on a variety of tasks, ranging from document and image classification to scientific experimentation. However, in recent times crowdsourcing has evolved from solving simpler tasks, like recognizing objects in images, to more complex tasks such as collaborative journalism, language translation, product designing etc. Unlike simpler micro-tasks performed by a single worker, these complex tasks require a group of workers and greater resources. In such scenarios, where groups of participants are the atomic units, it is a
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Części książek na temat "Evaluation Coupling Graph (ECG)"

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Seger Michael, Tilg Bernhard, Modre-Osprian Robert, Fischer Gerald, Hanser Friedrich, and Messnarz Bernd. "ECG Mapping and Imaging of Cardiac Electrical Function." In Studies in Health Technology and Informatics. IOS Press, 2003. https://doi.org/10.3233/978-1-60750-939-4-56.

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Inverse electrocardiography has been developed for several years. By coupling electrocardiographic mapping and 3D-time anatomical data, the electrical excitation sequence can be imaged completely non-invasively in the human heart. In this study, a bidomain theory based surface heart model activation time imaging approach was applied to single beat data of atrial and ventricular depolarization. For sinus and paced rhythms, the sites of early activation and the areas with late activation were estimated with sufficient accuracy. In particular for focal arrhythmias, this model-based imaging approa
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Demian, Peter, Kirti Ruikar, and Anne Morris. "Three-Dimensional Information Retrieval (3DIR)." In Contemporary Strategies and Approaches in 3-D Information Modeling. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5625-1.ch005.

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The 3DIR project investigated the use of 3D visualization to formulate queries, compute the relevance of information items, and visualize search results. Workshops identified the user needs. Based on these, a graph theoretic formulation was created to inform the emerging system architecture. A prototype was developed. This enabled relationships between 3D objects to be used to widen a search. An evaluation of the prototype demonstrated that a tight coupling between text-based retrieval and 3D models could enhance information retrieval but add an extra layer of complexity.
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Streszczenia konferencji na temat "Evaluation Coupling Graph (ECG)"

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Yang, Steven. "Calibration of Elctrocardiograph (ECG) Simulators." In NCSL International Workshop & Symposium. NCSL International, 2016. http://dx.doi.org/10.51843/wsproceedings.2016.36.

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The Standards and Calibration Laboratory (SCL) in Hong Kong has set up a calibration facility for electro-cardio graph (ECG) simulators. ECGs are medical devices designed to measure the electrical signals associated with cardiac activity. They are used to diagnose heart diseases and arrhythmias, which are commonly used in hospitals, emergency facilities and medical institutes. Routine performance check of ECGs could be performed by ECG simulator. In order to ensure the accuracy of the instruments, calibration procedures which are traceable to primary standards or SI units are essential. At the
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Khosravi Babadi, Parham, and Lixuan Lu. "Reliability and Safety Assessment of Passive Safety Systems Through Coupling of Fault Tree Analysis and Artificial Neural Network." In ASME 2022 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2022. http://dx.doi.org/10.1115/imece2022-95897.

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Abstract Small Modular Reactors (SMRs) have attracted much attention in recent years, and they could play a significant role in the future of energy supply and the nuclear industry. Many factors have contributed to the advancement of SMRs, including their affordability and zero greenhouse gas emissions. However, the most significant advantage associated with SMRs is their increased safety level, which has been achieved by introducing a wide range of new design features. Despite the diversity of design techniques, a similar set of design principles, such as Passive Safety Systems (PSSs), has be
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