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Journal articles on the topic 'Diagnostic parameters'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Artibani, W. "Diagnostic Parameters." Urologia Journal 59, no. 1 (February 1992): 21–25. http://dx.doi.org/10.1177/039156039205900105.

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Many parameters are available for evaluating patients with benign prostatic hypertrophy (BPH) in order to assess the necessity for treatment and to evaluate results. At present there is no real agreement on their order of importance. This paper tries to define from a theoretical and practical point of view the role of the following parameters: symptoms; symptom scores; visual scores; time/voided volume chart; prostate size; uroflowmetry, nomograms for flow; residual urine; pressure/flow study; mathematical and computer processing of pressure/flow study. The Author underlines the critical role of invasive urodynamics (pressure/flow study) in categorizing patients as obstructed or non-obstructed, in grading the severity of outflow obstruction and in evaluating the pattern of detrusor contractility. Present studies to evaluate the results of old and recent treatments should include invasive urodynamics in order to obtain homogeneous groups of patients and to overcome the prevailing empiricism.

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2

Stepanov, Pavel, and Stanislav Lagutkin. "Research of Electric and Mechanical Diagnostic Parameters of Drive Equipment." Applied Mechanics and Materials 683 (October 2014): 177–82. http://dx.doi.org/10.4028/www.scientific.net/amm.683.177.

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The paper considers research of electrical and mechanical diagnostic parameters of drive equipment, as well as processing and analysis of diagnostic information. We consider the current and vibration diagnostics of equipment, which consist of the asynchronous motor, the coupling and the worm-and-wheel reduction unit.

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3

Syrbakov, A. P., and M. A. Korchuganova. "Technical Diagnosis of Internal Combustion Engines in the Parameters of Vibration." Applied Mechanics and Materials 756 (April 2015): 53–58. http://dx.doi.org/10.4028/www.scientific.net/amm.756.53.

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Several ways of technical diagnostics have been researched. General aspects have been considered of the mechanism diagnostics by vibroacoustic signals. The assessment of the vibroacoustic engine diagnostics method is provided. On the basis of a laptop computer, a portable diagnostic complex has been elaborated for the pre-assessment of combustion engine mechanisms' condition using parameters of a vibroacoustic signal. For technical assessment of combustion engines a diagnostic scheme has been proposed for mechanical components by vibration parameters.

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4

Stavileci, V., M. Begolli, and A. Keka. "891 Acute Pyelonephritis and Diagnostic Parameters." Archives of Disease in Childhood 97, Suppl 2 (October 1, 2012): A255—A256. http://dx.doi.org/10.1136/archdischild-2012-302724.0891.

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5

Katzarova, P., V. Rangelova, and S. Kuneva. "Two Parameters Diagnostic of Biosensor Transducers." Biotechnology & Biotechnological Equipment 20, no. 1 (January 2006): 190–94. http://dx.doi.org/10.1080/13102818.2006.10817331.

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6

Rajabi-Jagahrgh, Ehsan, and Rupak K. Banerjee. "Functional Diagnostic Parameters for Arteriovenous Fistula." Artificial Organs 39, no. 6 (April 10, 2015): 492–501. http://dx.doi.org/10.1111/aor.12410.

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7

Abramov, Ivan V., Yury R. Nikitin, Andrei I. Abramov, Ella V. Sosnovich, and Pavol Božek. "Control and Diagnostic Model of Brushless Dc Motor." Journal of Electrical Engineering 65, no. 5 (September 1, 2014): 277–82. http://dx.doi.org/10.2478/jee-2014-0044.

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Abstract A simulation model of brushless DC motor (BLDC) control and diagnostics is considered. The model has been developed using a freeware complex “Modeling in technical devices”. Faults and diagnostic parameters of BLDC are analyzed. A logicallinguistic diagnostic model of BLDC has been developed on basis of fuzzy logic. The calculated rules determine dependence of technical condition on diagnostic parameters, their trends and utilized lifetime of BLDC. Experimental results of BLDC technical condition diagnostics are discussed. It is shown that in the course of BLDC degradation the motor condition change depends on diagnostic parameter values

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8

Swamy, Vanitha R., Metan S.B, and Biligi D.S. "Volume, Conductivity, and Scatter Parameters as a Diagnostic Aid in Neonatal Sepsis." Indian Journal of Pathology: Research and Practice 6, no. 4 (Part-2) (2017): 1110–13. http://dx.doi.org/10.21088/ijprp.2278.148x.6417.47.

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9

Hou Ming, Zhang Huei-gin, Zhu Yuan-yuan, Ji Chuen-van, Xu Conn-nao, and Zhang Mao-hong. "Diagnostic value of fibrinolytic parameters in preeclampsia." Fibrinolysis 8 (January 1994): 141. http://dx.doi.org/10.1016/0268-9499(94)90682-3.

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10

Suratwala, N. B., and Parul Kajalia. "Assessment of diagnostic parameters in meniere’s disease." Indian Journal of Otolaryngology and Head and Neck Surgery 53, no. 2 (April 2001): 108–11. http://dx.doi.org/10.1007/bf02991501.

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11

Ergashev, Rustam, Fakhriddin Bekchanov, Adiljan Atajanov, Ibrokhim Khudaev, and Furqat Yusupov. "Vibrodiagnostic method of water pump control." E3S Web of Conferences 264 (2021): 04026. http://dx.doi.org/10.1051/e3sconf/202126404026.

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The research aims to carry out comprehensive diagnostics and develop diagnostic systems for vertical pumping units. The article discusses the method of technical diagnostics of large vertical pumping units to ensure reliability during their operation. An assessment of the qualitative and quantitative changes in the parameters of their operating modes during wear is given, and a diagnostic system is proposed for monitoring these parameters.

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12

Ledda, Salvatore, Cinzia Santucciu, Valentina Chisu, and Giovanna Masala. "Validation of a Novel Commercial ELISA Test for the Detection of Antibodies against Coxiella burnetii." Pathogens 9, no. 12 (December 21, 2020): 1075. http://dx.doi.org/10.3390/pathogens9121075.

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Q fever is a zoonosis caused by Coxiella burnetii, a Gram-negative pathogen with a complex life cycle and a high impact on public and animal health all over the world. The symptoms are indistinguishable from those belonging to other diseases, and the disease could be symptomless. For these reasons, reliable laboratory tests are essential for an accurate diagnosis. The aim of this study was to validate a novel enzyme-linked immunosorbent assay (ELISA) test, named the Chorus Q Fever Phase II IgG and IgM Kit (DIESSE, Diagnostica Senese S.p.A), which is performed by an instrument named Chorus, a new device in medical diagnostics. This diagnostic test is employed for the detection of antibodies against C. burnetii Phase II antigens in acute disease. Our validation protocol was performed according to the Italian Accreditation Body (ACCREDIA) (Regulation UNI CEI EN ISO/IEC 17025:2018 and 17043:2010), OIE (World Organization for Animal Health), and Statement for Reporting Studies of Diagnostic Accuracy (STARD). Operator performance was evaluated along with the analytical specificity and sensitivity (ASp and ASe) and diagnostic accuracy of the kit, with parameters such as diagnostic specificity and sensitivity (DSp and DSe) and positive and negative predictive values (PPV and NPV), in addition to the repeatability. According to the evaluated parameters, the diagnostic ELISA test was shown to be suitable for validation and commercialization as a screening method in human sera and a valid support for clinical diagnostics.

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13

Mijović, Milica, Vladica Nedeljković, Danica Vukićević, Nebojša Mitić, Branislav Đerković, Julijana Rašić, and Vesna Premović. "Diagnostic, prognostic and predictive parameters in prostate cancer." Praxis medica 49, no. 3-4 (2020): 43–49. http://dx.doi.org/10.5937/pramed2004043m.

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Prostate cancer (CP) is the most common malignancy in men in America, while it is the second most common in Europe. It is responsible for about 10% of cancer deaths in the same population. It is clinically manifested in various forms, from slow-growing to aggressive forms with pronounced metastatic potential. Diagnosis is made by a well-defined algorithm, which begins with the determination of serum prostate specific antigen values and ends with prostate biopsy as the "gold standard". Pathohistological diagnostic criterias are based on architectural, cytoplasmic, nuclear and characteristics of intraluminal structures, as well as periacinar cleftings, which are deffined as helpfull diagnostic criteria of undoubted importance. Prognostic and predictive parameters are classified into three categories. Some of them are an integral part of routine pathohistologicat report, while others are considered as the diagnostic process progresses. Modern knowledge introduces biomarkers into the everyday practice of personalized medicine, especially when is necessary to treat prostate cancer patients.

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14

Arhun, S., Yu Borodenko, A. Hnatov, A. Popova, H. Hnatova, N. Kunicina, A. Ziravecka, A. Zabasta, and L. Ribickis. "Choice of Parameters for the Electrodrive Diagnostic System of Hybrid Vehicle Traction." Latvian Journal of Physics and Technical Sciences 57, no. 4 (August 1, 2020): 3–11. http://dx.doi.org/10.2478/lpts-2020-0017.

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AbstractWhen operating a hybrid vehicle (HEV), it is important to reduce maintenance and repair costs. The HEV electric drive (ED) consists of electronic, electrical and mechanical parts and is considered a complex diagnostic model. The availability of an electrical part greatly simplifies the process of monitoring and obtaining information about the state of the system. In order to create a hybrid diesel-electric propulsion system (HDEPS), the choice of structural and functional parameters as diagnostic ones is justified, the control points are chosen, and the necessary accuracy and unambiguity of measurements are determined. Qualitative evaluations of the electrical processes occurring in the power supply circuit of ED from a high-voltage accumulator battery for the selection of diagnostic parameters according to the criteria of sensitivity, informative character, stability and manufacturability of measurements are presented. It has been revealed that during HDEPS diagnostics both stable and transient modes of operation of electric machines should be considered; for analysis of ED technical state it is necessary to have information about current mode of HDEPS load; for measurement of instantaneous values of supply voltage and consumption current it is necessary to select the sensors with short response time and linear conversion function. In terms of sensitivity to structural changes in the circuit and parametric deviations, it is necessary to choose, as diagnostic parameters, the voltage or current, depending on the mode of operation of the ED and the point of measurement of the electrical value. The obtained results are the basis for creating a new system of diagnostics of electric power supply HDEPS in this direction.

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15

Catania, Andrea Emilio, Daniela Misul, Ezio Spessa, and Alberto Vassallo. "A Diagnostic Tool for the Analysis of Heat Release, Flame Propagation Parameters and NO Formation in SI Engines(S.I. Engines, Combustion Diagnostics)." Proceedings of the International symposium on diagnostics and modeling of combustion in internal combustion engines 2004.6 (2004): 471–86. http://dx.doi.org/10.1299/jmsesdm.2004.6.471.

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16

Wang, Liang, Xinwei Qi, Fengming Tian, Huijun Li, Hui Zhao, Jie Lv, Xuan Zhou, Derong Ba, Wen Song, and Xiumin Ma. "Diagnostic value of hematological parameters in acute pancreatitis." Annals of Palliative Medicine 9, no. 5 (September 2020): 2716–22. http://dx.doi.org/10.21037/apm-20-160.

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17

Tasyurt, Nuriye, Ozgur Olukman, Sebnem Calkavur, Fusun Atlihan, Fatma Kaya Kilic, Ferah Genel, and Canan Vergin. "Diagnostic value of platelet parameters in neonatal sepsis." Journal of Dr. Behcet Uz Children's Hospital 2, no. 1 (March 1, 2013): 10–17. http://dx.doi.org/10.5222/buchd.2012.010.

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18

Mohammad Noureldine, A., P. Hashem Fouad, H. Magdy Ahmed, and M. Mahmoud Khafagy. "Early diagnostic parameters of glaucoma in high myopes." Journal Français d'Ophtalmologie 42, no. 5 (May 2019): 457–63. http://dx.doi.org/10.1016/j.jfo.2018.11.011.

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19

Weber, F. "The diagnostic sensitivity of different F wave parameters." Journal of Neurology, Neurosurgery & Psychiatry 65, no. 4 (October 1, 1998): 535–40. http://dx.doi.org/10.1136/jnnp.65.4.535.

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20

Zimnyakov, D. A., R. A. Zdrazhevskii, and O. V. Ushakova. "Selecting diagnostic parameters in full-field speckle correlometry." Technical Physics Letters 37, no. 12 (December 2011): 1087–90. http://dx.doi.org/10.1134/s1063785011120169.

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21

Antonelli, Patrick J., Karen J. Doyle, Yang-Sun Cho, Dong Kyung Lee, Moon-Hee Ko, Kyu-Whan Chung, and Chi-Kyou Lee. "11:24: Diagnostic Parameters of Video Pneumatic Otoendoscope." Otolaryngology–Head and Neck Surgery 137, no. 2_suppl (August 2007): P146. http://dx.doi.org/10.1016/j.otohns.2007.06.331.

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22

Arfken, Cynthia L., Stuart Carney, and Nash N. Boutros. "Translating biological parameters into clinically useful diagnostic tests." Current Psychiatry Reports 11, no. 4 (July 21, 2009): 320–23. http://dx.doi.org/10.1007/s11920-009-0046-5.

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23

Svenson, Björn, Ulf Welander, Göran Anneroth, and Björn Söderfeldt. "Exposure parameters and their effects on diagnostic accuracy." Oral Surgery, Oral Medicine, Oral Pathology 78, no. 4 (October 1994): 544–50. http://dx.doi.org/10.1016/0030-4220(94)90050-7.

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24

Falck, B., A. Alanen, P. Halonen, K. Jokinen, H. Kalimo, and R. Karsikas. "Diagnostic utility of MUP parameters in chronic neuropathy." Electroencephalography and Clinical Neurophysiology 87, no. 2 (August 1993): S99. http://dx.doi.org/10.1016/0013-4694(93)91315-r.

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25

Habibi, M., N. Kollaros, P. Karyofyllis, I. Mastorakou, and V. Voudris. "Factors affecting exposure parameters during diagnostic coronary catheterization." Physica Medica 32 (September 2016): 259. http://dx.doi.org/10.1016/j.ejmp.2016.07.558.

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26

Kabakov, V. V. "SIMULATION OF DIAGNOSTIC PARAMETERS IN SIMULINK." Defense Industry Achievements - Russian Scientific and Technical Progress, no. 1 (2021): 33–37. http://dx.doi.org/10.52190/1729-6552_2021_1_33.

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27

LEPIARCZYK, Dariusz, and Wacław GAWĘDZKI. "VIBRATION DIAGNOSTIC OF A FRICTION PROCESS IN SLIDE BEARINGS." Tribologia 278, no. 2 (May 1, 2018): 73–80. http://dx.doi.org/10.5604/01.3001.0012.6978.

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An analysis of the condition of technical objects is carried out by diagnostic systems, the purpose of which is to detect irregularities in their operation and to prevent damages. In slide bearings, it applies to the diagnostic of friction and thermal phenomena of mating friction pairs. Among many methods of bearing diagnostics, special attention should be paid to vibration diagnostic methods based on measurements of relative vibration parameters or on absolute vibration (displacement, velocity, or acceleration of vibration). Methods of the vibration diagnostic of bearings rely on periodic or continuous measurements of relative vibration parameters of the bearing housing in relation to the rotor (in the case of slide bearings the measurements of the bearing sleeve in relation to the shaft neck) or absolute vibration parameters of the bearing housing (i.e. the sleeve in the case of slide bearing). The article presents a method of vibration diagnostics of friction phenomena that occur during the operation of slide bearings under various lubrication and load conditions. There are presented methods of analysis and the interpretation of measurement data obtained as a result of the conducted slide bearing tests on the laboratory stand. A method for assessing a technical condition of the slide bearing friction pairs is proposed.

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28

Drokov, V. V., V. G. Drokov, A. E. Kaloshin, and F. I. Muhutdinov. "ANALYSIS OF THE FILTER WASH AND NEW DIAGNOSTIC PARAMETERS." Kontrol'. Diagnostika 187, no. 1 (January 2014): 45–53. http://dx.doi.org/10.14489/td.2014.01.pp.045-053.

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29

Paweł, Lindstedt, Zboiński Marek, Deliś Maciej, and Borowczyk Henryk. "Verification of Diagnostic Thresholds with Elimination of Ambient Factors / Weryfikacja Progów Diagnostycznych z Eliminacją Otoczenia." Journal of KONBiN 33, no. 1 (September 1, 2015): 61–80. http://dx.doi.org/10.1515/jok-2015-0005.

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Abstract Measurements of signals received from ambient environment is a difficult task for technical diagnostics and becomes even infeasible in a series of cases. It is why the issues related to elimination of ambient factors from the identification process of diagnostic thresholds are truly justified. The method for elimination of environment impact is disclosed in this paper and consists in displacement of a specific set of measured diagnostic parameters (the initial set) in relation to the subsequent set of diagnostic parameters (the target set). Then the square of amplitude gain and the phase shift are calculated for these two mutually shifted data sets, which makes it possible to evaluate “cohesion” density of results obtained for diagnostic signals and thus their suitability for calculation of diagnostic thresholds. The method is characterized by the peculiarity that it takes account for ambient “environment” with no need to measure its parameters [6, 7, 8, 12, 13, 14].

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30

WU, PUXUN, and HONGWEI YU. "STATEFINDER PARAMETERS FOR PHANTOM DARK ENERGY." Modern Physics Letters A 21, no. 16 (May 30, 2006): 1305–11. http://dx.doi.org/10.1142/s0217732306019293.

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The statefinder parameters were introduced recently to differentiate different dark energy models. In this paper we perform a statefinder diagnostic to the phantom dark energy model with two different phantom field potentials. Our results show that the statefinder diagnostic is rather robust in differentiating not only different dark energy models but also the same kind of models with different potentials which lead to different fate of the universe.

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31

Kuric, Ivan, Ivana Klačková, Yury Rafailovich Nikitin, Ivan Zajačko, Miroslav Císar, and Karol Tucki. "Analysis of Diagnostic Methods and Energy of Production Systems Drives." Processes 9, no. 5 (May 12, 2021): 843. http://dx.doi.org/10.3390/pr9050843.

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This article deals with solving the urgent scientific problem of the diagnostics of drives of technological robotized workplaces with support of sensors. The dependence of diagnostic parameters on the technical state of drives of automated technological systems, which is of great economic importance for industrial enterprises, is being investigated. Diagnostic models have been developed based on sensory systems to diagnose drive models of technological robotized workplaces. The use of these models may also include monitoring systems in which it is possible to build a system for identifying detected changes. These systems identify many contradictory changes and thereby reduce the false alarm frequency of monitoring sensory systems. Numerous methods for solving technical diagnostics problems are often based on methods based on mathematical models describing work processes, as well as on spectral analysis of measured parameters, such as vibrations, noise, and electric current. A fuzzy inference system for assessing the technical condition, a system for estimating the residual resource of drives, and asystem for calculating diagnostic intervals based on fuzzy knowledge have been developed. Based on the historical trend of the diagnostic parameters, the intelligent diagnostic system determines the current technical condition of the actuator and predicts future technical condition changes, determines the remaining service life and the time intervals for diagnostics. The analysis of the time spent on planned preventive maintenance of technological equipment makes it possible to conclude that, after the modernization of equipment in 2018, the repair time was reduced from 350 h to 260 h per year (26%). Since 2019, there is a tendency to increase repair time by 30 h each year.

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32

WU, PUXUN, and HONGWEI YU. "STATEFINDER PARAMETERS FOR QUINTOM DARK ENERGY MODEL." International Journal of Modern Physics D 14, no. 11 (November 2005): 1873–81. http://dx.doi.org/10.1142/s0218271805007486.

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We perform in this paper a statefinder diagnostic to a dark energy model with two scalar fields, called "quintom," where one of the scalar fields has a canonical kinetic energy term and the other has a negative one. Several kinds of potentials are discussed. Our results show that the statefinder diagnostic can differentiate quintom model with other dark energy models.

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33

Kolomiets, L. V., Y. V. Ovcharov, A. I. Starish, А. І. Rozmarytsa, and O. V. Tsilvik. "MONITORING OF DOSE-FORMING PARAMETERS X-RAY DIAGNOSTIC INSTRUMENTS." Key title Zbìrnik naukovih pracʹ Odesʹkoï deržavnoï akademìï tehnìčnogo regulûvannâ ta âkostì -, no. 2(9) (2016): 48–53. http://dx.doi.org/10.32684/2412-5288-2016-2-9-48-53.

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34

Poliachenko, Oleksandr, M. Kovalenko, A. Kutsyak, and Y. Khrunyk. "ANALYSIS OF THE INFORMATIONAL DIAGNOSTIC PARAMETERS OF THE RHEOGRAPHY." Bulletin of Kyiv Polytechnic Institute. Series Instrument Making, no. 54(2) (December 25, 2017): 118–24. http://dx.doi.org/10.20535/1970.54(2).2017.119573.

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35

Moore, G. Wayne. "Key Performance Parameters of a Contemporary Diagnostic Ultrasound Transducer." Biomedical Instrumentation & Technology 44, no. 3 (May 1, 2010): 231–33. http://dx.doi.org/10.2345/0899-8205-44.3.231.

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36

Aliyeva, Sevinj, Serdar Kaya, Zeynep Soyman, Güler Ateşer, Haluk Bacanakgil, and Birtan Boran. "Diagnostic Value of Hematological Parameters in Pelvic Inflammatory Disease." Istanbul Medical Journal 20, no. 5 (October 24, 2019): 482–86. http://dx.doi.org/10.4274/imj.galenos.2019.36539.

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37

Golikova, V. V., E. L. Pervukhina, and P. K. Sopin. "Statistical simulation of mechanical engineering products by diagnostic parameters." Journal of Machinery Manufacture and Reliability 37, no. 6 (December 2008): 612–17. http://dx.doi.org/10.3103/s1052618808060150.

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38

Rubanenko, Alexander, Mikhail Labzun, and Maksim Hryshchuk. "Definition defects of transformer equipment using frequency diagnostic parameters." Bulletin of the National Technical University «KhPI» Series: New solutions in modern technologies, no. 23(1245) (June 8, 2017): 41–46. http://dx.doi.org/10.20998/2413-4295.2017.23.07.

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39

SHOBEIRI, S. "Establishing competency parameters for the residents? diagnostic cystoscopy education." Obstetrics & Gynecology 101, no. 4 (April 2003): S113—S114. http://dx.doi.org/10.1016/s0029-7844(02)03032-6.

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40

Pisegna, Jessica M., and Susan E. Langmore. "Parameters of Instrumental Swallowing Evaluations: Describing a Diagnostic Dilemma." Dysphagia 31, no. 3 (March 17, 2016): 462–72. http://dx.doi.org/10.1007/s00455-016-9700-3.

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41

Singh, Sushil K. "Diagnostic Curve for Confined Aquifer Parameters from Early Drawdowns." Journal of Irrigation and Drainage Engineering 134, no. 4 (August 2008): 515–20. http://dx.doi.org/10.1061/(asce)0733-9437(2008)134:4(515).

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42

Lei, Yaguo, Detong Kong, Jing Lin, and Ming J. Zuo. "Fault detection of planetary gearboxes using new diagnostic parameters." Measurement Science and Technology 23, no. 5 (April 11, 2012): 055605. http://dx.doi.org/10.1088/0957-0233/23/5/055605.

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43

Calas, C., V. Ducrocq, and S. Sénési. "Mesoscale analyses and diagnostic parameters for deep convection nowcasting." Meteorlogical Applications 7, no. 2 (June 2000): 145–61. http://dx.doi.org/10.1017/s1350482700001365.

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44

Shobeiri, Abbas S., Ralph R. Chesson, and Karolynn T. Echols. "Establishing Competency Parameters for the Residents' Diagnostic Cystoscopy Education." Obstetrics & Gynecology 101, Supplement (April 2003): 113S—114S. http://dx.doi.org/10.1097/00006250-200304001-00271.

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45

Sarica, Ozgur, Goksen Kaymaz, and Nese Ucar. "Effectiveness of Additional Diagnostic Parameters in Magnetic Resonance Mammography." Journal of Computer Assisted Tomography 38, no. 6 (2014): 985–91. http://dx.doi.org/10.1097/rct.0000000000000132.

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46

Yorulmaz, Alaaddin, Mehmet Yücel, and Sadiye Sert. "Diagnostic value of haematological parameters in neonatal sepsis cases." Ortadoğu Tıp Dergisi 10, no. 3 (September 30, 2018): 252–62. http://dx.doi.org/10.21601/ortadogutipdergisi.389829.

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47

Trushkin, V. A., O. N. Churlyaeva, and R. V. Kozichev. "Effect of Submersible Motor Temperature on Diagnostic Insulation Parameters." Machinery and Equipment for Rural Area, no. 6 (June 26, 2020): 36–39. http://dx.doi.org/10.33267/2072-9642-2020-6-36-39.

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48

Nojabaei, Bahareh, and Shah Kabir. "Establishing Key Reservoir Parameters with Diagnostic Fracture Injection Testing." SPE Reservoir Evaluation & Engineering 15, no. 05 (October 1, 2012): 563–70. http://dx.doi.org/10.2118/153979-pa.

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49

Wang, J. R., Z. F. Cheng, Z. Li, Y. Li, J. Luo, X. L. Zhang, and G. Zhuang. "Measurement of diagnostic neutral beam parameters on J-TEXT." Review of Scientific Instruments 87, no. 11 (August 22, 2016): 11E532. http://dx.doi.org/10.1063/1.4961285.

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50

Zhang, Yudong, Shiliang Wu, Zhijun Xi, Xiaoying Wang, and Xuexiang Jiang. "Measuring diagnostic accuracy of imaging parameters in pelvic lipomatosis." European Journal of Radiology 81, no. 11 (November 2012): 3107–14. http://dx.doi.org/10.1016/j.ejrad.2012.05.031.

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