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Journal articles on the topic 'Measurement mechanisms'

Author: Grafiati

Published: 28 May 2022

Last updated: 31 July 2025

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1

Wilke, Leslie D., and Shekhar Ghamande. "Dyspnea: Mechanisms, Measurement, and Management." Annals of the American Thoracic Society 11, no. 7 (2014): 1170. http://dx.doi.org/10.1513/annalsats.201404-149ot.

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2

Swenne, C. A. "Baroreflex sensitivity: mechanisms and measurement." Netherlands Heart Journal 21, no. 2 (2012): 58–60. http://dx.doi.org/10.1007/s12471-012-0346-y.

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3

Grassi, Guido, Fosca Quarti-Trevano, Gino Seravalle, et al. "Sympathetic Neural Mechanisms Underlying Attended and Unattended Blood Pressure Measurement." Hypertension 78, no. 4 (2021): 1126–33. http://dx.doi.org/10.1161/hypertensionaha.121.17657.

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Whether blood pressure (BP) values differ when BP is measured with or without the presence of a doctor (attended and unattended BP measurements) is controversial, and no information exists on whether and to what extent neurogenic mechanisms participate at the possible BP differences between these measurements. In this study, we assessed continuous beat-to-beat finger systolic BP and diastolic BP, heart rate, muscle, and skin sympathetic nerve traffic (microneurography) before and during BP measurement by an automatic device in the presence or absence of a doctor. This was done in 18 untreated

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4

Kriegeskorte, Nikolaus, and Jörn Diedrichsen. "Inferring brain-computational mechanisms with models of activity measurements." Philosophical Transactions of the Royal Society B: Biological Sciences 371, no. 1705 (2016): 20160278. http://dx.doi.org/10.1098/rstb.2016.0278.

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High-resolution functional imaging is providing increasingly rich measurements of brain activity in animals and humans. A major challenge is to leverage such data to gain insight into the brain's computational mechanisms. The first step is to define candidate brain-computational models (BCMs) that can perform the behavioural task in question. We would then like to infer which of the candidate BCMs best accounts for measured brain-activity data. Here we describe a method that complements each BCM by a measurement model (MM), which simulates the way the brain-activity measurements reflect neuron

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5

Johanson, Kerry, Chris Eckert, Dev Ghose, Millorad Djomlija, and Mario Hubert. "Quantitative measurement of particle segregation mechanisms." Powder Technology 159, no. 1 (2005): 1–12. http://dx.doi.org/10.1016/j.powtec.2005.06.003.

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6

Tuleshov, K., A. A. Jomartov, A. N. Kamal, and A. E. Abduraimov. "Tensometric measurement system for experimental research of mechanisms, machines and robots." Bulletin of the National Engineering Academy of the Republic of Kazakhstan 89, no. 3 (2023): 174–83. http://dx.doi.org/10.47533/2023.1606-146x.29.

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The paper shows a tensometric measurement system for the experimental research of mechanisms, machines and robots. The tensometric measuring system is built on the basis of intelligent digital sensors of the ZETSENSOR series with a CAN interface. The information processing algorithm and the visualization of the measured signals is carried out using the ZETLAB SENSOR software. The tensometric measurement system is used to determine such parameters as: displacement, forces, deformations and stresses in the links of mechanisms, machines and robots. A tensometric measurement system was used for th

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7

Alcalde Puente, Daniel, and Matteo Rizzi. "Learning Feedback Mechanisms for Measurement-Based Variational Quantum State Preparation." Quantum 9 (July 11, 2025): 1792. https://doi.org/10.22331/q-2025-07-11-1792.

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This work introduces a self-learning protocol that incorporates measurement and feedback into variational quantum circuits for efficient quantum state preparation. By combining projective measurements with conditional feedback, the protocol learns state preparation strategies that extend beyond unitary-only methods, leveraging measurement-based shortcuts to reduce circuit depth. Using the spin-1 Affleck-Kennedy-Lieb-Tasaki state as a benchmark, the protocol learns high-fidelity state preparation by overcoming a family of measurement induced local minima through adjustments of parameter update

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8

Kline, Paul. "Defence mechanisms. Their classification, correlates, and measurement with the defence mechanism inventory." Personality and Individual Differences 13, no. 9 (1992): 1059. http://dx.doi.org/10.1016/0191-8869(92)90140-k.

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9

Kline, Paul. "Defense mechanisms: their classification, correlates and measurement with the defense mechanism inventory." Journal of Psychosomatic Research 31, no. 3 (1987): 425. http://dx.doi.org/10.1016/0022-3999(87)90068-7.

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10

Zhang, Dianjin, Guangyu Zhang, and Longqiu Li. "Calibration of a six-axis parallel manipulator based on BP neural network." Industrial Robot: the international journal of robotics research and application 46, no. 5 (2019): 692–98. http://dx.doi.org/10.1108/ir-12-2018-0248.

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Purpose This paper aims to provide a simple and flexible calibration method of parallel manipulators for improving the position accuracy only using partial pose information. Design/methodology/approach The overall idea of this method is to use BP neural network to fit the relationship between calibration parameters and measurement parameters and then adjust calibration parameters according to measurements. Findings The calibration method significantly improves the position accuracy of the six-axis parallel manipulator. Simulation shows that the accuracy can be improved by increasing the number

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11

Song, Young Hun, Jae Sung Shim, Hannah A. Kinmonth-Schultz, and Takato Imaizumi. "Photoperiodic Flowering: Time Measurement Mechanisms in Leaves." Annual Review of Plant Biology 66, no. 1 (2015): 441–64. http://dx.doi.org/10.1146/annurev-arplant-043014-115555.

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12

Akaike, Takaaki. "Mechanisms of biologicalS-nitrosation and its measurement." Free Radical Research 33, no. 5 (2000): 461–69. http://dx.doi.org/10.1080/10715760000301001.

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13

Mandich, Angela, and Helene J. Polatajko. "Developmental coordination disorder: Mechanisms, measurement and management." Human Movement Science 22, no. 4-5 (2003): 407–11. http://dx.doi.org/10.1016/j.humov.2003.09.001.

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14

USUDA, Takashi. "Measurement and Evaluation of Micromechanisms. Vibration Measurement and Analysis for Micro-mechanisms." Journal of the Japan Society for Precision Engineering 63, no. 3 (1997): 332–36. http://dx.doi.org/10.2493/jjspe.63.332.

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15

Joo, Sangwan, and Hirokazu Mayeda. "Joint Stiffness Measurements of Multi-joint Type Robot Manipulators with Serial Mechanisms. A Comparison between Simultaneous Measurement and Individual Measurement." Journal of the Robotics Society of Japan 13, no. 3 (1995): 390–96. http://dx.doi.org/10.7210/jrsj.13.390.

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16

Waldner, Carina, and Ulrich Hirn. "Ultrasonic Liquid Penetration Measurement in Thin Sheets—Physical Mechanisms and Interpretation." Materials 13, no. 12 (2020): 2754. http://dx.doi.org/10.3390/ma13122754.

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Ultrasonic liquid penetration (ULP) measurements of porous sheets have been applied for a variety of purposes ranging from determining liquid absorption dynamics to surface characterization of substrates. Interpretation of ULP results, however, is complex as the ultrasound signal can be affected by several mechanisms: (1) air being replaced by the liquid in the substrate pores, (2) air bubbles forming during penetration, and (3) structural changes of the substrate due to swelling of the substrate material. Analyzing tailored liquids and substrates in combination with contact angle measurements

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17

Fan, Yihong, Renata Saha, Yifei Yang, and Jian-Ping Wang. "Origins of observational errors in field sweep DC measurements for unidirectional magnetoresistance." Journal of Applied Physics 132, no. 21 (2022): 213907. http://dx.doi.org/10.1063/5.0127587.

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Understanding the mechanisms of unidirectional magnetoresistance (UMR) has become an important topic for its potential application of a two-terminal spin–orbit torque device. Field sweep DC measurements have been proposed and adopted to measure the value of UMR instead of second harmonic measurements. In this paper, potential measurement errors in conventional DC measurements are investigated. Oersted field and field-like torque usually do not influence the measurement, but a large field-like torque was found to lead to an anisotropic magnetoresistance difference when the sample is not perfect

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18

Li, H. J., H. C. Lin, C. C. Chen, T. Y. Liu, and Z. Y. Lane. "Determination of Propagation Mechanisms Using Wideband Measurement Techniques." Progress In Electromagnetics Research 20 (1998): 283–99. http://dx.doi.org/10.2528/pier98040500.

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19

GU, Jiani, Hui MENG, and Jinyan FAN. "Social Self-Efficacy: Dimension, Measurement and Its Mechanisms." Advances in Psychological Science 22, no. 11 (2014): 1791. http://dx.doi.org/10.3724/sp.j.1042.2014.01791.

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20

Mohd Amir, Amizawati, Nik Nazli Nik Ahmad, and Muslim Har Sani Mohamad. "Performance Measurement System Mechanisms and Service Process Type." Asian Journal of Accounting and Governance 1, no. 1 (2010): 1–26. http://dx.doi.org/10.17576/ajag-2010-1-6544.

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21

Brain, J. D. "Mechanisms, measurement, and significance of lung macrophage function." Environmental Health Perspectives 97 (July 1992): 5–10. http://dx.doi.org/10.1289/ehp.92975.

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22

Singh, Komal P., Christine Miaskowski, Anand A. Dhruva, Elena Flowers, and Kord M. Kober. "Mechanisms and Measurement of Changes in Gene Expression." Biological Research For Nursing 20, no. 4 (2018): 369–82. http://dx.doi.org/10.1177/1099800418772161.

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Research on gene expression (GE) provides insights into the physiology of a cell or group of cells at a given point in time. Studies of changes in GE can be used to identify patients at higher risk for various medical conditions, a higher symptom burden, and/or the adverse consequences associated with various treatments. The aims of this article are as follows: (1) to describe the different types of RNA transcripts, (2) to describe the processes involved in GE (i.e., RNA transcription, epigenetics, and posttranscriptional modifications), (3) to describe common sources of variation in GE, (4) t

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23

Negewo, Netsanet A., Peter G. Gibson, and Vanessa M. McDonald. "COPD and its comorbidities: Impact, measurement and mechanisms." Respirology 20, no. 8 (2015): 1160–71. http://dx.doi.org/10.1111/resp.12642.

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24

Ang, Diing Shenp, You Zhou Hu, Zhi Qiang Teo, Guo An Du, Simon Chung Sing Lai, and Terence Jun Jie Ho. "Negative-Bias Temperature Instability: Measurement and Degradation Mechanisms." ECS Transactions 19, no. 2 (2019): 147–76. http://dx.doi.org/10.1149/1.3122091.

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25

Finnerup, Nanna B., Søren H. Sindrup, and Troels S. Jensen. "Chronic neuropathic pain: mechanisms, drug targets and measurement." Fundamental & Clinical Pharmacology 21, no. 2 (2007): 129–36. http://dx.doi.org/10.1111/j.1472-8206.2007.00474.x.

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26

Segal, Richard L. "Contemporary Perspectives on Movement Disorders: Mechanisms and Measurement." Neurology Report 21, no. 3 (1997): 76–77. http://dx.doi.org/10.1097/01253086-199721030-00008.

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27

Craik, Rebecca. "Contemporary Perspectives on Movement Disorders: Mechanisms and Measurement." Neurology Report 21, no. 3 (1997): 91–93. http://dx.doi.org/10.1097/01253086-199721030-00011.

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28

Phillips, Jonathan E., Lid B. Wong, and Donovan B. Yeates. "Bidirectional Transepithelial Water Transport: Measurement and Governing Mechanisms." Biophysical Journal 76, no. 2 (1999): 869–77. http://dx.doi.org/10.1016/s0006-3495(99)77250-4.

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29

Lutsik, Ya T., and R. I. Chekh. "Peculiarities of the measurement mechanisms of ultrasonic thermometers." Measurement Techniques 28, no. 10 (1985): 861–64. http://dx.doi.org/10.1007/bf00861762.

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30

Markl, Daniel, and J. Axel Zeitler. "A Review of Disintegration Mechanisms and Measurement Techniques." Pharmaceutical Research 34, no. 5 (2017): 890–917. http://dx.doi.org/10.1007/s11095-017-2129-z.

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31

Marshall, B. T., L. E. Deaver, R. E. Thompson, et al. "Retrieval of temperature and pressure using broadband solar occultation: SOFIE approach and results." Atmospheric Measurement Techniques Discussions 3, no. 6 (2010): 5743–94. http://dx.doi.org/10.5194/amtd-3-5743-2010.

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Abstract. Measurement of atmospheric temperature as a function of pressure, T(P), is key to understanding many atmospheric processes and a prerequisite for retrieving gas mixing ratios and other parameters from solar occultation measurements. This paper gives a brief overview of the solar occultation measurement technique followed by a detailed discussion of the mechanisms that make the measurement sensitive to temperature. Methods for retrieving T(P) using both broadband transmittance and refraction are discussed. Investigations using measurements of broadband transmittance in two CO2 absorpt

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32

Marshall, B. T., L. E. Deaver, R. E. Thompson, et al. "Retrieval of temperature and pressure using broadband solar occultation: SOFIE approach and results." Atmospheric Measurement Techniques 4, no. 5 (2011): 893–907. http://dx.doi.org/10.5194/amt-4-893-2011.

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Abstract. Measurement of atmospheric temperature as a function of pressure, T(P), is key to understanding many atmospheric processes and a prerequisite for retrieving gas mixing ratios and other parameters from solar occultation measurements. This paper gives a brief overview of the solar occultation measurement technique followed by a detailed discussion of the mechanisms that make the measurement sensitive to temperature. Methods for retrieving T(P) using both broadband transmittance and refraction are discussed. Investigations using measurements of broadband transmittance in two CO2 absorpt

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33

Yu, Liang Chun, Kin P. Cheung, Vinayak Tilak, et al. "Wafer-Level Hall Measurement on SiC MOSFET." Materials Science Forum 645-648 (April 2010): 979–82. http://dx.doi.org/10.4028/www.scientific.net/msf.645-648.979.

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Low channel mobility is one of the biggest challenges to commercializing SiC MOSFETs. Accurate mobility measurement is essential for understanding the mechanisms that lead to low mobility. The most widely used effective mobility measurements overestimate the inversion charge for devices that have high level of defects. Mobility measured by the Hall effect is more accurate; however the conventional Hall mobility measurement is tedious. In this work, we demonstrate a wafer-level Hall measurement technique, which is simple and convenient to implement. With this method, extensive study of the mobi

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34

Murray, James F. "Defense Mechanisms: Their Classification, Correlation, and Measurement With the Defense Mechanisms Inventory (Book)." Journal of Personality Assessment 53, no. 1 (1989): 192–94. http://dx.doi.org/10.1207/s15327752jpa5301_22.

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35

Wu, Bujiao, Jinzhao Sun, Qi Huang, and Xiao Yuan. "Overlapped grouping measurement: A unified framework for measuring quantum states." Quantum 7 (January 13, 2023): 896. http://dx.doi.org/10.22331/q-2023-01-13-896.

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Quantum algorithms designed for realistic quantum many-body systems, such as chemistry and materials, usually require a large number of measurements of the Hamiltonian. Exploiting different ideas, such as importance sampling, observable compatibility, or classical shadows of quantum states, different advanced measurement schemes have been proposed to greatly reduce the large measurement cost. Yet, the underline cost reduction mechanisms seem distinct from each other, and how to systematically find the optimal scheme remains a critical challenge. Here, we address this challenge by proposing a u

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36

Robey, Rachel, and Julie K. Lundquist. "Behavior and mechanisms of Doppler wind lidar error in varying stability regimes." Atmospheric Measurement Techniques 15, no. 15 (2022): 4585–622. http://dx.doi.org/10.5194/amt-15-4585-2022.

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Abstract. Wind lidars are widespread and important tools in atmospheric observations. An intrinsic part of lidar measurement error is due to atmospheric variability in the remote-sensing scan volume. This study describes and quantifies the distribution of measurement error due to turbulence in varying atmospheric stability. While the lidar error model is general, we demonstrate the approach using large ensembles of virtual WindCube V2 lidar performing a profiling Doppler-beam-swinging scan in quasi-stationary large-eddy simulations (LESs) of convective and stable boundary layers. Error trends

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37

Bösing, Ingmar, Jorg Thöming, and Michael Baune. "Electrolyte Composition for Distinguishing Corrosion Mechanisms in Steel Alloy Screening." International Journal of Corrosion 2017 (2017): 1–8. http://dx.doi.org/10.1155/2017/9425864.

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The formation and breakdown of passive layers due to pitting corrosion are a major cause of failure of metal structures. The investigation of passivation and pitting corrosion requires two different electrochemical measurements and is therefore a time consuming process. To reduce time in material characterization and to study the interactions of both mechanisms, here, a combined experiment addressing both phenomena is introduced. In the presented electrolyte the different corrosion mechanisms are distinguished and investigated by cyclic voltammograms and polarization scans. The measurements sh

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38

Wang, Bitong, and Douglas H. Kelley. "Microscale mechanisms of ultrasound velocity measurement in metal melts." Flow Measurement and Instrumentation 81 (October 2021): 102010. http://dx.doi.org/10.1016/j.flowmeasinst.2021.102010.

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39

Spector, Nancy, and Diane Klein. "Chronic Critically Ill Dyspneic Patients: Mechanisms and Clinical Measurement." AACN Clinical Issues: Advanced Practice in Acute and Critical Care 12, no. 2 (2001): 220–33. http://dx.doi.org/10.1097/00044067-200105000-00006.

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40

Li, H. J., H. C. Lin, C. C. Chen, T. Y. Liu, and Z. Y. Lane. "Determination of Propagation Mechanisms Using Wideband Measurement Techniques - Abstract." Journal of Electromagnetic Waves and Applications 12, no. 12 (1998): 1599–600. http://dx.doi.org/10.1163/156939398x00548.

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41

Bloesch, J. "Mechanisms, measurement and importance of sediment resuspension in lakes." Marine and Freshwater Research 46, no. 1 (1995): 295. http://dx.doi.org/10.1071/mf9950295.

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The process of sediment resuspension in lakes influences lake metabolism by causing turbidity and cycling of particulate material. Wind, currents and morphometry of the lake basin are the most important causes of resuspension. So far, episodic resuspension events have been studied, rather than the impact on whole lakes. The bottom shear stress and the cohesion of sediments are the key mechanisms for sediment resuspension. Two zones of resuspension can be distinguished: the littoral zone, where wave action is significant; and the profundal zone, where seiche-induced currents are the most import

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42

Wolf, Steven L. "Symposium Contemporary Perspectives on Movement Disturbances: Mechanisms and Measurement." Neurology Report 21, no. 3 (1997): 69–70. http://dx.doi.org/10.1097/01253086-199721030-00005.

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43

Shogren, Jason F., Sungwon Cho, Cannon Koo, et al. "Auction mechanisms and the measurement of WTP and WTA." Resource and Energy Economics 23, no. 2 (2001): 97–109. http://dx.doi.org/10.1016/s0928-7655(00)00038-5.

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44

Kenward, Hannah, Ludovic Pelligand, Karine Savary-Bataille, and Jonathan Elliott. "Nausea: Current knowledge of mechanisms, measurement and clinical impact." Veterinary Journal 203, no. 1 (2015): 36–43. http://dx.doi.org/10.1016/j.tvjl.2014.10.007.

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45

Mair, L. H., T. A. Stolarski, R. W. Vowles, and C. H. Lloyd. "Wear: mechanisms, manifestations and measurement. Report of a workshop." Journal of Dentistry 24, no. 1-2 (1996): 141–48. http://dx.doi.org/10.1016/0300-5712(95)00043-7.

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46

Camilleri, Michael. "Leaky gut: mechanisms, measurement and clinical implications in humans." Gut 68, no. 8 (2019): 1516–26. http://dx.doi.org/10.1136/gutjnl-2019-318427.

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The objectives of this review on ‘leaky gut’ for clinicians are to discuss the components of the intestinal barrier, the diverse measurements of intestinal permeability, their perturbation in non-inflammatory ‘stressed states’ and the impact of treatment with dietary factors. Information on ‘healthy’ or ‘leaky’ gut in the public domain requires confirmation before endorsing dietary exclusions, replacement with non-irritating foods (such as fermented foods) or use of supplements to repair the damage. The intestinal barrier includes surface mucus, epithelial layer and immune defences. Epithelial

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47

Weatherald, Jason, M. Diane Lougheed, Camille Taillé, and Gilles Garcia. "Mechanisms, measurement and management of exertional dyspnoea in asthma." European Respiratory Review 26, no. 144 (2017): 170015. http://dx.doi.org/10.1183/16000617.0015-2017.

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Asthma is a heterogeneous condition, with dyspnoea during exercise affecting individuals to a variable degree. This narrative review explores the mechanisms and measurement of exertional dyspnoea in asthma and summarises the available evidence for the efficacy of various interventions on exertional dyspnoea. Studies on the mechanisms of dyspnoea in asthma have largely utilised direct bronchoprovocation challenges, rather than exercise, which may invoke different physiological mechanisms. Thus, the description of dyspnoea during methacholine challenge can differ from what is experienced during

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48

Cooke, Marcus S. "Special issue on DNA oxidation: Mechanisms, measurement and consequences." Free Radical Research 46, no. 4 (2012): 365–66. http://dx.doi.org/10.3109/10715762.2012.665270.

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49

Skevington, Suzanne M. "Pain control and mechanisms for the measurement of pain." Journal of Psychopharmacology 5, no. 4 (1991): 360–63. http://dx.doi.org/10.1177/026988119100500426.

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50

Nobre, Jeferson Campos, Bruno Augusti Mozzaquatro, and Lisandro Zambenedetti Granville. "Network-Wide Initiatives to Control Measurement Mechanisms: A Survey." IEEE Communications Surveys & Tutorials 20, no. 2 (2018): 1475–91. http://dx.doi.org/10.1109/comst.2018.2797170.

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