scholarly journals RESEARCH AND DIAGNOSTICS FOR THE LABORATORY OF PRESSURE RESISTANT SENSORS

2021 ◽  
Vol 2021 (4) ◽  
pp. 4853-4856
Author(s):  
ROMAN ZELNIK ◽  
◽  
ADRIANA KAMENSZKA ◽  
PAVOL BOZEK ◽  
◽  
...  
Keyword(s):  
Service Life ◽  
Diagnostic Algorithm ◽  
Diagnostic Process ◽  
Diagnostic Equipment ◽  
Diagnostic Device ◽  
Diverse Range ◽  
Test Function ◽  
Shock Test ◽  
Sensor Device ◽  
Future Potential

The use of the sensors shortens the service life, wears out and reduces their accuracy due to operation. For sensors with a susceptibility to inaccuracy, it is possible to create a sensor-device-software diagnostic set. Such a scheme of configuration should be able to provide autonomic diagnostic, calibration, evaluation and also recalibration of the sensor. The diagnostic equipment could also have a shock test function in order to intentionally and faster reduce the service life and thus test the correctly set parameters of the diagnostic algorithm in laboratory conditions. The diagnostic device is a specialized technical system that provides conditions for the future potential of the testing development, knowledge and experience. According to the design, it can be modularly enriched with new parts, fixtures and systems to provide a more diverse range of options. There would be space for exploring the possibilities of new types of sensors, their comparison, as well as full-fledged automation of the complex diagnostic process.

scholarly journals Research and Diagnostics Laboratory of Pressure Resistive Sensors for Composites

2021 ◽  
Vol 24 (4) ◽  
pp. 11-16
Author(s):  
Roman Zelnik ◽  
Pavol Bozek ◽  
Adriana Kamenszka
Keyword(s):  
Diagnostic Algorithm ◽  
Accuracy Control ◽  
Diagnostic Device ◽  
Test Function ◽  
The Past ◽  
Current State ◽  
Sensor Device ◽  
Wear And Tear ◽  
Sensor Errors ◽  
Constant Maximum

The use of sensors prevents the shortened service life, wear and tear, and decreased accuracy due to degradation during operation. For sensors prone to inaccuracy, a “sensor-device-program” diagnostic assembly has been created. Such a circuit is capable of autonomous diagnosis, calibration and evaluation, up to and including autonomous recalibration of sensors. The diagnostic device also has a shock test function. The purpose of the operation is to deliberately increase the life and accuracy of the sensor under test. The diagnostic device is designed for testing under laboratory conditions and verifies the correctness of the diagnostic algorithm. The result of diagnostics is a report on the current state of the sensor and the changes compared to the past states. The current state includes estimates of accuracy, range, sensitivity or error parameters such as strain constant, maximum Po value and others. Thus, the degradation of selected parameters can be monitored and a mathematical calculation of the results can be applied to possibly improve/correct the sensor errors. By recording force levels, it will be known what force was applied to the sensor during the measurement and thus protects against damage from overloading. The maximized life is achieved through a combination of the accuracy control, calibration performance and error estimation. As a result, the conventional industrial sensor will be a reliable tool for industrial measurements, not just laboratory measurements.

An Advanced Automatic Electronic Diagnosis System

2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Prabhakar Dubey ◽  
Mahendra Kumar
Keyword(s):  
Complex System ◽  
Personal Experience ◽  
Digital Circuits ◽  
Diagnostic Process ◽  
Diagnostic Equipment ◽  
Diagnosis System ◽  
Technical Diagnosis ◽  
Design Engineers ◽  
General Terms ◽  
Hypotheses Generation

Every complex system is liable to faults and failures. In the most general terms, a fault is any change in a system that prevents it from operating in the proper manner. Here, the diagnosis of catastrophic defects in complex digital circuits. In fact, today the technical diagnosis is great challenge for design engineers because diagnostic problems are generally under determinate. It is also a deductive process with one set of data creating, in general, unlimited number of hypotheses among which one should try to get the solution. So the diagnosis methods are based on proprietary knowledge and personal experience, although they were built into integrated diagnostic equipment. The approach proposed here is an alternative to existing solutions, and it is expected to encompass all phases of the diagnostic process: symptom detection, hypotheses generation, and hypotheses discrimination.

An Integrated Approach to Gas Turbine Monitoring and Diagnostics

2008 ◽  
Author(s):  
Igor Loboda ◽  
Sergey Yepifanov ◽  
Yakov Feldshteyn
Keyword(s):  
Fault Detection ◽  
Gas Turbine ◽  
Diagnostic Algorithm ◽  
Integrated Approach ◽  
Final Diagnosis ◽  
Performance Model ◽  
Fault Identification ◽  
Diagnostic Process ◽  
Monitoring And Diagnosis ◽  
Operation Conditions

This paper presents an investigation of a conventional gas turbine diagnostic process and its generalization. A usual sequence of diagnostic actions consists of two stages: monitoring (fault detection) and subsequent proper diagnosis (fault identification). Such an approach neither implies fault identification nor uses the information about incipient faults unless the engine is recognized as faulty. In previous investigations for engine steady state operation conditions we addressed diagnostics problems without their relation with the monitoring process. Fault classes were given by samples of patterns generated by a static gas turbine performance model. This fault simulation took into account faults of varying severity including incipient ones. A diagnostic algorithm employed artificial neural networks to identify an actual fault. In the present paper we consider the monitoring and diagnosis as joint processes extending our previous approach over both of them. It is proposed to form two classes for the monitoring using the above-mentioned classes constructed for the diagnosis. A two-shaft industrial gas turbine has been chosen to test the proposed integrated approach to monitoring and diagnosis. A general recommendation following from the presented investigation is to identify faults simultaneously with fault detection. This permits accumulating preliminary diagnoses before the engine faulty condition is detected and a rapid final diagnosis after the fault detection.

scholarly journals DIAGNOSIS AND SUBCLASSIFICATION OF ACUTE LYMPHOBLASTIC LEUKEMIA

2014 ◽  
Vol 6 (1) ◽  
pp. e2014073 ◽  
Author(s):  
Sabina Chiaretti ◽  
Gina Zini ◽  
Renato Bassan
Keyword(s):  
Acute Lymphoblastic Leukemia ◽  
Lymphoblastic Leukemia ◽  
Diagnostic Algorithm ◽  
Diagnostic Process ◽  
Success Rates ◽  
Standard Chemotherapy ◽  
Biological Targets ◽  
Risk Patients ◽  
T Lymphoblasts ◽  
Standard Risk

Acute lymphoblastic leukemia (ALL) is a disseminated malignancy of B- or T-lymphoblasts which imposes a rapid and accurate diagnostic process to support an optimal risk-oriented therapy and thus increase the curability rate. The need for a precise diagnostic algorithm is underlined by the awareness that both ALL therapy and related success rates may vary greatly in function of ALL subset, from standard chemotherapy in patients with standard-risk ALL, to allotransplantation (SCT) and targeted therapy in high-risk patients and cases expressing suitable biological targets, respectively. This review offers a glimpse on how best identify ALL and the most relevant ALL subsets. 

scholarly journals Polymorbidity: a View on Combined Pathology

2019 ◽  
Vol 26 (5) ◽  
pp. 125-134
Author(s):  
Marina M. Tlish ◽  
Taisiya G. Kuznetsova ◽  
Zhanna Yu. Naatyzh ◽  
Ruzana M. Tikeeva
Keyword(s):  
Life Quality ◽  
Diagnostic Errors ◽  
Optimal Solution ◽  
Diagnostic Algorithm ◽  
Final Diagnosis ◽  
Healthcare Services ◽  
Differential Diagnostics ◽  
Diagnostic Process ◽  
Clinical Cases

Aim. To describe clinical cases exhibiting a rare combination of dermatoses in one patient in order to prevent iatrogenic errors.Results. The present article describes clinical cases of patients with polymorbid pathologies, which constitutes one of the current interdisciplinary healthcare problems. The described clinical cases indicate the co-occurrence and overlap of various diseases, which complicates the final diagnosis. Polymorbidity in modern patients turns the diagnostic process into a search for an optimal solution, which frequently requires innovative approaches. A mixed clinical picture leads to iatrogenic errors. A detailed differential diagnostics should be performed when establishing the final clinical diagnosis, which could reduce the frequency of medical-diagnostic and tactical errors. In this connection, a prolonged diagnostic route contributes to the timely detection of interdependent pathologies. The analysis of clinical cases related to managing patients with polymorbid pathologies facilitates the prevention of the progression of each disease, as well as the determination of prognostic aspects.Conclusion. Considering the narrow specialisation of medical institutions, the management of patients with polymorbid pathologies is a challenging problem. The management of such patients requires adherence to a clear clinical diagnostic algorithm and a multidisciplinary approach, which allows diagnostic errors and complications associated with drug therapy to be avoided, thus improving the quality of healthcare services. Polymorbid pathology constitutes an interdisciplinary problem requiring the development of a unified procedure for the management of patients, which should be aimed at the early detection of combined pathology, eliminating polypharmacy, reducing the overall risk of diseases and improving the life quality of patients.

Evidence-Based Diagnostic Algorithm for Glioma: Analysis of the Results of Pathology Panel Review and Molecular Parameters of EORTC 26951 and 26882 Trials

2015 ◽  
Vol 33 (17) ◽  
pp. 1943-1950 ◽  
Author(s):  
Johan M. Kros ◽  
Karin Huizer ◽  
Aurelio Hernández-Laín ◽  
Gianluca Marucci ◽  
Alex Michotte ◽  
...  
Keyword(s):  
Prognostic Significance ◽  
Multivariable Analysis ◽  
Diagnostic Algorithm ◽  
Virtual Microscopy ◽  
Molecular Data ◽  
Conditional Inference ◽  
Diagnostic Process ◽  
Egfr Amplification ◽  
Molecular Parameters ◽  
Panel Review

Purpose With the rapid discovery of prognostic and predictive molecular parameters for glioma, the status of histopathology in the diagnostic process should be scrutinized. Our project aimed to construct a diagnostic algorithm for gliomas based on molecular and histologic parameters with independent prognostic values. Methods The pathology slides of 636 patients with gliomas who had been included in EORTC 26951 and 26882 trials were reviewed using virtual microscopy by a panel of six neuropathologists who independently scored 18 histologic features and provided an overall diagnosis. The molecular data for IDH1, 1p/19q loss, EGFR amplification, loss of chromosome 10 and chromosome arm 10q, gain of chromosome 7, and hypermethylation of the promoter of MGMT were available for some of the cases. The slides were divided in discovery (n = 426) and validation sets (n = 210). The diagnostic algorithm resulting from analysis of the discovery set was validated in the latter. Results In 66% of cases, consensus of overall diagnosis was present. A diagnostic algorithm consisting of two molecular markers and one consensus histologic feature was created by conditional inference tree analysis. The order of prognostic significance was: 1p/19q loss, EGFR amplification, and astrocytic morphology, which resulted in the identification of four diagnostic nodes. Validation of the nodes in the validation set confirmed the prognostic value (P < .001). Conclusion We succeeded in the creation of a timely diagnostic algorithm for anaplastic glioma based on multivariable analysis of consensus histopathology and molecular parameters.

scholarly journals Diagnosis and Treatment of a Neck Node Swelling Suspicious for a Malignancy: An Algorithmic Approach

2010 ◽  
Vol 2010 ◽  
pp. 1-8 ◽  
Author(s):  
A. J. M. Balm ◽  
M. L. F. van Velthuysen ◽  
F. J. P. Hoebers ◽  
W. V. Vogel ◽  
M. W. M. van den Brekel
Keyword(s):  
Diagnostic Algorithm ◽  
Needle Aspiration ◽  
Undifferentiated Carcinoma ◽  
Endoscopic Examination ◽  
Diagnosis And Treatment ◽  
Diagnostic Process ◽  
Neck Node ◽  
Pubmed Search ◽  
African Patients ◽  
Fdg Pet Ct

Aim. To present an up-to-date algorithm incorporating recent advances regarding its diagnosis and treatment.Method. A Medline/Pubmed search was performed to identify relevant studies published in English from 1990 until 2008. Only clinical studies were identified and were used as basis for the diagnostic algorithm.Results. The eligible literature provided only observational evidence. The vast majority of neck nodes from occult primaries (>90%) represent SCC with a high incidence among middle aged man. Smoking and alcohol abuse are important risk factors. Asiatic and North African patients with neck node metastases are at risk of harbouring an occult nasopharyngeal carcinoma. The remainder are adenocarcinoma, undifferentiated carcinoma, melanoma, thyroid carcinoma and Merkel cell carcinoma. Fine needle aspiration cytology (FNAC) reaches sensitivity and specificity percentages of 81% and 100%, respectively and plays an important role as the second diagnostic step after routine ENT mirror and/or endoscopic examination. FDG-PET/CT has proven to be helpful in identifying occult primary carcinomas of the head and neck, especially when applied as a guiding tool prior to panendoscopy, and may induce treatment related clinical decisions in up to 60% of cases.Conclusion. Although reports on the diagnostic process offer mainly descriptive studies, current information seems sufficient to formulate a diagnostic algorithm to contribute to a more systematic diagnostic approach preventing unnecessary steps.

scholarly journals DIAGNOSTIC CRITERIA OFCLEIDOCRANIAL DYSPLASIA IN CLINICAL DENTAL PRACTICE

2020 ◽  
Vol 15 (4) ◽  
pp. 121-130
Author(s):  
Vladislav Galonsky ◽  
Natalia Tarasova ◽  
Vladimir Chernov ◽  
Anatoly Gradoboev ◽  
Maksim Makarchuk ◽  
...  
Keyword(s):  
Oral Cavity ◽  
World Literature ◽  
Clinical Signs ◽  
Diagnostic Algorithm ◽  
Current Data ◽  
Diagnostic Process ◽  
Cleidocranial Dysplasia ◽  
Dental Practice ◽  
Dental Practitioners ◽  
Clinical Cases

Subject. Cleidocranial dysplasia is a rare hereditary pathology found in general and dental clinical practice. According to current data in the world literature, to date about 500 cases of this disease have been described. Purpose — increased effectiveness of diagnostic maneuverin patients with cleidocranialdysplasia in clinical dental practice. Methodology. In order to ensure the regularization and systematization of scattered clinical and diagnostic information on the pathology studied, a meta-analysis of native and foreign reference, scientific and educational and methodological literary sources related to this problem has been carried out. Patients with cleidocranial dysplasia were examined, the formed diagnostic algorithm was tested, clinical manifestation of pathology was evaluated. Results. As a result of the analysis, a convenient and practically acceptable model of the main clinical signs of cleidocranialdysplasia has been developed for the formation of a diagnostic algorithm for dental practitioners. Two clinical cases are presented showing the results of the diagnostic process in patients with cleidocranialdysplasia, complex and questionableclinical situations in the oral cavity. Conclusion. The model of the main clinical signs of cleidocranial dysplasia is an effective diagnostic algorithm in dental practice, which forms in practical dentists professional skills and competence in routing and attracting to advise specialists of related specialties of dental and general medical profiles, in cases of detection of patients with this rarely occurring pathology on clinical reception. The presented clinical cases demonstrate the effectiveness of its application in the practice of the dentist, illustrating a detailed, competent and acceptable scheme of writing the history of the disease of patients with this pathology, complex and questionable clinical situations of a universal nature and in the oral cavity in the outpatient dentalappointment.

scholarly journals Learning Medical Image Denoising with Deep Dynamic Residual Attention Network

Mathematics ◽  
2020 ◽  
Vol 8 (12) ◽  
pp. 2192
Author(s):  
S M A Sharif ◽  
Rizwan Ali Naqvi ◽  
Mithun Biswas
Keyword(s):  
Image Analysis ◽  
Image Denoising ◽  
Network Architecture ◽  
Medical Image ◽  
Medical Image Analysis ◽  
Perceptual Quality ◽  
Diagnostic Process ◽  
Diverse Range ◽  
Residual Noise

Image denoising performs a prominent role in medical image analysis. In many cases, it can drastically accelerate the diagnostic process by enhancing the perceptual quality of noisy image samples. However, despite the extensive practicability of medical image denoising, the existing denoising methods illustrate deficiencies in addressing the diverse range of noise appears in the multidisciplinary medical images. This study alleviates such challenging denoising task by learning residual noise from a substantial extent of data samples. Additionally, the proposed method accelerates the learning process by introducing a novel deep network, where the network architecture exploits the feature correlation known as the attention mechanism and combines it with spatially refine residual features. The experimental results illustrate that the proposed method can outperform the existing works by a substantial margin in both quantitative and qualitative comparisons. Also, the proposed method can handle real-world image noise and can improve the performance of different medical image analysis tasks without producing any visually disturbing artefacts.

scholarly journals Performance of a diagnostic algorithm for fibrotic hypersensitivity pneumonitis. A case–control study

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Sabina A. Guler ◽  
Eva Wohlfarth ◽  
Sabina Berezowska ◽  
Thomas K. Geiser ◽  
Lukas Ebner ◽  
...  
Keyword(s):  
Confidence Level ◽  
Test Performance ◽  
Hypersensitivity Pneumonitis ◽  
Case Control Study ◽  
Diagnostic Algorithm ◽  
Case Control ◽  
Cox Proportional Hazards ◽  
Diagnostic Process ◽  
Risk Of Death ◽  
Control Study

Abstract Background The differential diagnosis fibrotic hypersensitivity pneumonitis (HP) versus idiopathic pulmonary fibrosis (IPF) is important but challenging. Recent diagnostic guidelines for HP emphasize including multidisciplinary discussion (MDD) in the diagnostic process, however MDD is not comprehensively available. We aimed to establish the diagnostic accuracy and prognostic validity of a previously proposed HP diagnostic algorithm that foregoes MDD. Methods We tested the algorithm in patients with an MDD diagnosis of fibrotic HP or IPF (case control study) and determined diagnostic test performances for diagnostic confidences of ≥ 90% and ≥ 70%. Prognostic validity was established using Cox proportional hazards models. Results Thirty-one patients with fibrotic HP and 50 IPF patients were included. The algorithm-derived ≥ 90% confidence level for HP had high specificity (0.94, 95% confidence interval [CI] 0.83–0.99), but low sensitivity (0.35 [95%CI 0.19–0.55], J-index 0.29). Test performance was improved for the ≥ 70% confidence level (J-index 0.64) with a specificity of 0.90 (95%CI 0.78–0.97), and a sensitivity of 0.74 (95%CI 0.55–0.88). MDD fibrotic HP diagnosis was strongly associated with lower risk of death (adjusted hazard ratio [HR] 0.10 [0.01–0.92], p = 0.04), whereas the algorithm-derived ≥ 70% and ≥ 90% confidence diagnoses were not significantly associated with survival (adjusted HR 0.37 [0.07–1.80], p = 0.22, and adjusted HR 0.41 [0.05–3.25], p = 0.39, respectively). Conclusion The algorithm-derived ≥ 70% diagnostic confidence had satisfactory test performance for MDD-HP diagnosis, with insufficient sensitivity for ≥ 90% confidence. The lowest risk of death in the MDD-derived HP diagnosis validates the reference standard and suggests that a diagnostic algorithm not including MDD, might not replace the latter.

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