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Journal articles on the topic 'Term monitoring'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Schierz, Amanda C. "Monitoring knowledge." Terminology 13, no. 2 (2007): 125–54. http://dx.doi.org/10.1075/term.13.2.02sch.

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The diffusion and transfer of knowledge is central to the process of innovation and is of importance to both academics and industrialists. In this paper, we propose that academic articles and patent documents referring to a set of well-researched concepts may be used as a measure of this diffusion and transfer. Concepts are typically articulated as terms, and shared terms in specialist research papers and patent documents are proposed as a monitoring index for the transfer of academic knowledge to patented technology. The identification and statistical monitoring of changes in the use of terms

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2

Hilfiker, Peter, and I. W. Mothersill. "Long-term monitoring." Therapeutische Umschau 58, no. 11 (2001): 641–44. http://dx.doi.org/10.1024/0040-5930.58.11.641.

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Das Elektroenzephalogramm (EEG) spielt nach wie vor eine entscheidende Rolle in der Differentialdiagnostik epileptischer und nicht-epileptischer Anfälle und der Klassifizierung der verschiedenen Epilepsie-Formen, da das EEG als einzige klinische Methode eine epileptische Funktionsstörung im Gehirn direkt nachweisen kann. Das Routine-EEG misst in der Regel das EEG zwischen den Anfällen (interiktuales EEG) und hat seinen unbestrittenen Stellenwert als eine kostengünstige, sehr spezifische, aber nicht sehr sensitive Methode in der Epileptologie. Eine richtige Diagnose aufgrund von Klinik und Rout

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3

Bulková, Veronika. "Long-term ECG monitoring." Vnitřní lékařství 67, no. 1 (2021): 16–21. http://dx.doi.org/10.36290/vnl.2021.002.

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4

Havstad, K. M., and J. E. Herrick. "Long-Term Ecological Monitoring." Arid Land Research and Management 17, no. 4 (2003): 389–400. http://dx.doi.org/10.1080/713936102.

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5

Carracilli, Jean. "Long term bridge monitoring." Revue Française de Génie Civil 5, no. 4 (2001): 469–82. http://dx.doi.org/10.1080/12795119.2001.9692317.

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6

Tatum, William O. "Long-Term EEG Monitoring." Journal of Clinical Neurophysiology 18, no. 5 (2001): 442–55. http://dx.doi.org/10.1097/00004691-200109000-00009.

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7

Liu, Jun, Janneke Hilderink, Tom A. M. Groothuis, Cees Otto, Clemens A. van Blitterswijk, and Jan de Boer. "Monitoring nutrient transport in tissue-engineered grafts." Journal of Tissue Engineering and Regenerative Medicine 9, no. 8 (2013): 952–60. http://dx.doi.org/10.1002/term.1654.

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8

von Thadden, E. L. "Long-Term Contracts, Short-Term Investment and Monitoring." Review of Economic Studies 62, no. 4 (1995): 557–75. http://dx.doi.org/10.2307/2298077.

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9

Mundell, Lewis, Roberta Lindemann, and James Douglas. "Monitoring long-term oral corticosteroids." BMJ Open Quality 6, no. 2 (2017): e000209. http://dx.doi.org/10.1136/bmjoq-2017-000209.

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10

Dibb, Martyn, and Simon Lal. "Monitoring long-term parenteral nutrition." Current Opinion in Gastroenterology 35, no. 2 (2019): 119–25. http://dx.doi.org/10.1097/mog.0000000000000504.

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11

Sackellares, J. Chris. "Long-Term Monitoring in Epilepsy." Journal of Clinical Neurophysiology 4, no. 4 (1987): 417–18. http://dx.doi.org/10.1097/00004691-198710000-00007.

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12

Kalomeni, B. "Long-Term Monitoring of Polars." Proceedings of the International Astronomical Union 7, S282 (2011): 91–92. http://dx.doi.org/10.1017/s1743921311027049.

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AbstractWe present long-term observations of magnetic cataclysmic variables AM Her, AN UMa, AR UMa, DP Leo, and V1309 Ori obtained with the ROTSEIIId telescope. All data have been analysed and preliminary results indicate periods of 170 days, 217 days, and 180 days for AM Her, AN UMa, and AR UMa, respectively.

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13

Verlooy, P. "Long-term monitoring in epilepsy." Journal of the Neurological Sciences 72, no. 1 (1986): 119. http://dx.doi.org/10.1016/0022-510x(86)90041-9.

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14

Rishbeth, H., D. M. Willis, and A. Hewish. "Long-term solar-terrestrial monitoring." Eos, Transactions American Geophysical Union 74, no. 28 (1993): 313. http://dx.doi.org/10.1029/93eo00415.

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15

Burr, W. "Long-term monitoring in epilepsy." Electroencephalography and Clinical Neurophysiology 63, no. 5 (1986): 501–2. http://dx.doi.org/10.1016/0013-4694(86)90134-3.

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16

Han-Chang Wu, Chao-Hung Lin, Shuenn-Tsong Young, and Te-Son Kuo. "Monitoring long-term uterine contractions." IEEE Instrumentation & Measurement Magazine 5, no. 2 (2002): 36–40. http://dx.doi.org/10.1109/mim.2002.1005658.

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17

Kobus, J. "Long-term atmospheric corrosion monitoring." Materials and Corrosion 51, no. 2 (2000): 104–8. http://dx.doi.org/10.1002/(sici)1521-4176(200002)51:2<104::aid-maco104>3.0.co;2-v.

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18

Miklos, M., V. Slugen, V. Krsjak, I. Smiesko, M. Bozik, and D. Vasina. "ICONE15-10363 VVER FUEL ASSEMBLIES MONITORING IN LONG TERM STORAGE CONDITION." Proceedings of the International Conference on Nuclear Engineering (ICONE) 2007.15 (2007): _ICONE1510. http://dx.doi.org/10.1299/jsmeicone.2007.15._icone1510_184.

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19

Mills, Mystyn, Loralee Larios, and Janet Franklin. "Enhancing the Long-Term Ecological Management and Monitoring of Landscapes: The L-TEAM Framework." Land 12, no. 10 (2023): 1942. http://dx.doi.org/10.3390/land12101942.

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Long-term monitoring and adaptive ecological management are essential to the conservation of biodiversity. Yet, achieving successful long-term ecological monitoring and management, especially at the landscape level, has proven challenging. In this paper, we address the hurdles faced in sustaining long-term monitoring and management for landscape-scale efforts by offering three promising conceptual and methodological developments that support such initiatives. Then, we introduce L-TEAM, a long-term ecological adaptive monitoring and management framework that integrates those three components us

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20

Sun, Shengjing, Xiaochen Zheng, Javier Villalba-Díez, and Joaquín Ordieres-Meré. "Indoor Air-Quality Data-Monitoring System: Long-Term Monitoring Benefits." Sensors 19, no. 19 (2019): 4157. http://dx.doi.org/10.3390/s19194157.

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Indoor air pollution has been ranked among the top five environmental risks to public health. Indoor Air Quality (IAQ) is proven to have significant impacts on people’s comfort, health, and performance. Through a systematic literature review in the area of IAQ, two gaps have been identified by this study: short-term monitoring bias and IAQ data-monitoring solution challenges. The study addresses those gaps by proposing an Internet of Things (IoT) and Distributed Ledger Technologies (DLT)-based IAQ data-monitoring system. The developed data-monitoring solution allows for the possibility of low-

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21

Sun, S., X. Zheng, J. Villalba-Díez, and J. Ordieres-Meré. "Indoor Air-Quality Data-Monitoring System: Long-Term Monitoring Benefits." Sensors 19, no. 19 (2019): 4157. https://doi.org/10.3390/s19194157.

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Indoor air pollution has been ranked among the top five environmental risks to public health. Indoor Air Quality (IAQ) is proven to have significant impacts on people’s comfort, health, and performance. Through a systematic literature review in the area of IAQ, two gaps have been identified by this study: short-term monitoring bias and IAQ data-monitoring solution challenges. The study addresses those gaps by proposing an Internet of Things (IoT) and Distributed Ledger Technologies (DLT)-based IAQ data-monitoring system. The developed data-monitoring solution allows for the possibility o

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22

Moritz, Bernd, Roman Heissenberger, Tobias Schachinger, and Werner Lienhart. "Long‐term monitoring of railway tunnels." Geomechanics and Tunnelling 14, no. 1 (2021): 35–46. http://dx.doi.org/10.1002/geot.202000049.

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23

Lavery, Shelly, and Kathi Randall. "Cerebral Monitoring of the Term Infant." Neonatal Network 27, no. 5 (2008): 329–37. http://dx.doi.org/10.1891/0730-0832.27.5.329.

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Continuously monitoring brain function at the bedside in the NICU for term infants at risk of brain injury has become part of routine clinical practice in many countries. These monitors offer invaluable information about the sick infant’s neurologic status by providing real-time measurements of the brain’s electrical activity and identifying or confirming seizure activity. With the increasing availability of bedside electroencephalogram technology, it is essential for neonatal intensive care nursing staff to understand the rationale for its use, as well as the fundamentals of application and i

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24

Rosu, Marius, and Sever Pasca. "WBAN Based Long Term ECG Monitoring." International Journal of Monitoring and Surveillance Technologies Research 1, no. 3 (2013): 20–37. http://dx.doi.org/10.4018/ijmstr.2013070102.

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Healthcare solutions using anytime, and anywhere remote healthcare surveillance devices, have become a major challenge. The patients with chronic diseases who need only therapeutic supervision are not advised to occupy a hospital bed. Using Wearable Wireless Body/Personal Area Network (WWBAN), intelligent monitoring of heart can supply information about medical conditions. Electrocardiogram (ECG) is the core reference in the diagnosis and medication process. An approach on healthcare solution WBAN based, for real-time ECG signal monitoring and long-term recording will be presented. Low-power w

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25

Gazeas, Kosmas. "Long-Term Optical Monitoring of Blazars." Galaxies 7, no. 2 (2019): 58. http://dx.doi.org/10.3390/galaxies7020058.

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Systematic monitoring of specific targets in the optical regime was historically applied on a very narrow sample of known variable stars. The discovery of blazars in the 20th century brought to the foreground the need for new global sky surveys, covering the entire sky and fainter sources. Full-sky surveys are conducted more easily from space observatories, while radio telescopes perform follow up observations from the ground. Blazars are detected in a wide range of energies, while they exhibit strong variability in various wavelengths from γ-rays and X-rays to the optical and radio domain. Th

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26

Gaensler, B. M., and R. W. Hunstead. "Long-term Monitoring of Molonglo Calibrators." Publications of the Astronomical Society of Australia 17, no. 1 (2000): 72–82. http://dx.doi.org/10.1071/as00072.

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AbstractBefore and after every 12 hour synthesis observation, the Molonglo Observatory Synthesis Telescope (MOST) measures the flux densities of ∼5 compact extragalactic radio sources, chosen from a list of 55 calibrators. From 1984 to 1996, the MOST made some 58,000 such measurements. We have developed an algorithm to process this dataset to produce a light curve for each source spanning this thirteen-year period. We find that 18 of the 55 calibrators are variable, on time scales between one and ten years. There is the tendency for sources closer to the Galactic Plane to be more likely to var

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27

Marshall, Matthew. "Monitoring long term conditions with Telehealth." British Journal of Community Nursing 14, no. 6 (2009): 246–48. http://dx.doi.org/10.12968/bjcn.2009.14.6.42590.

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28

Brown, Kevin I. T., David F. Gray, and Sallie L. Baliunas. "Long‐Term Spectroscopic Monitoring of Arcturus." Astrophysical Journal 679, no. 2 (2008): 1531–40. http://dx.doi.org/10.1086/587783.

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29

Boon, P., J. De Reuck, C. Drieghe, K. De Bruycker, I. Aers, and J. Pengel. "Long-Term Video-EEG Monitoring Revisited." European Neurology 34, no. 1 (1994): 33–39. http://dx.doi.org/10.1159/000119507.

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30

SCHADY, Arthur. "Long term wind turbine sound monitoring." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 270, no. 3 (2024): 8312–21. http://dx.doi.org/10.3397/in_2024_4075.

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In the DLR Windpark Wiwaldi, consisting of two wind turbines, extensive measurements of sound and meteorology have been conducted. In the context of long-term wind turbine sound monitoring, the data from such measurements are used to understand and decipher physical effects. This kind of data suffers sometimes for reliability, because of many changing conditions and situations around the microphone. Therefore, in three different phases the sound of various sources were captured. Before the turbines were installed, initial measurements were made to identify background noise, followed by additio

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31

Young, Noel. "Ern Perkins on Long Term Monitoring." Castlemaine Naturalist 37, no. 402 (2012): 1–3. http://dx.doi.org/10.5962/p.401542.

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32

Howell, S. J. L. "LONG-TERM EEG MONITORING IN EPILEPSY." Lancet 329, no. 8547 (1987): 1437. http://dx.doi.org/10.1016/s0140-6736(87)90630-1.

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33

Cutispoto, G., S. Messina, and M. Rodonò. "Long-term monitoring of active stars." Astronomy & Astrophysics 367, no. 3 (2001): 910–30. http://dx.doi.org/10.1051/0004-6361:20000549.

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34

Kraft, Margaret Ross, Janice Ann Neubauer, and Joan LeSage. "Quality monitoring in long-term care." Journal of Nursing Care Quality 2, no. 1 (1987): 39–48. http://dx.doi.org/10.1097/00001786-198711000-00007.

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35

Polag, Daniela, and Frank Keppler. "Long-term monitoring of breath methane." Science of The Total Environment 624 (May 2018): 69–77. http://dx.doi.org/10.1016/j.scitotenv.2017.12.097.

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36

van Dyk, E. E., E. L. Meyer, F. J. Vorster, and A. W. R. Leitch. "Long-term monitoring of photovoltaic devices." Renewable Energy 25, no. 2 (2002): 183–97. http://dx.doi.org/10.1016/s0960-1481(01)00064-7.

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37

Mwenge, B., A. Brion, G. Uguccioni, and I. Arnulf. "Sleepwalking: long-term home video monitoring." Sleep Medicine 14, no. 11 (2013): 1226–28. http://dx.doi.org/10.1016/j.sleep.2013.04.027.

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38

Turner, M. "Long-term ambulatory monitoring of epilepsy." Electroencephalography and Clinical Neurophysiology 75 (January 1990): S154. http://dx.doi.org/10.1016/0013-4694(90)92280-a.

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39

Cutispoto, G., S. Messina, and M. Rodonò. "Long-term monitoring of active stars." Astronomy & Astrophysics 400, no. 2 (2003): 659–70. http://dx.doi.org/10.1051/0004-6361:20021900.

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40

Anderegg, Peter, Rolf Brönnimann, and Urs Meier. "Reliability of long-term monitoring data." Journal of Civil Structural Health Monitoring 4, no. 1 (2013): 69–75. http://dx.doi.org/10.1007/s13349-013-0047-2.

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41

Cutispoto, G., and G. Leto. "Long-term monitoring of active stars." Astronomy and Astrophysics Supplement Series 121, no. 2 (1997): 368–78. http://dx.doi.org/10.1051/aas:1997319.

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42

Cutispoto, G. "Long-term monitoring of active stars." Astronomy and Astrophysics Supplement Series 127, no. 2 (1998): 207–15. http://dx.doi.org/10.1051/aas:1998368.

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43

Cutispoto, G. "Long-term monitoring of active stars." Astronomy and Astrophysics Supplement Series 131, no. 2 (1998): 321–44. http://dx.doi.org/10.1051/aas:1998430.

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44

Swick, Cynthia T., Alain Bouthillier, and Susan S. Spencer. "Seizure Occurrence During Long-Term Monitoring." Epilepsia 37, no. 10 (1996): 927–30. http://dx.doi.org/10.1111/j.1528-1157.1996.tb00528.x.

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45

Bechi, Paolo, Filippo Pucciani, Francesco Baldini, et al. "Long-term ambulatory enterogastric reflux monitoring." Digestive Diseases and Sciences 38, no. 7 (1993): 1297–306. http://dx.doi.org/10.1007/bf01296082.

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46

Brownjohn, James, Alison Raby, James Bassitt, Alessandro Antonini, Zuo Zhu, and Peter Dobson. "Wolf Rock Lighthouse Long-Term Monitoring." Infrastructures 9, no. 4 (2024): 77. http://dx.doi.org/10.3390/infrastructures9040077.

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Wolf Rock Lighthouse is a Victorian era masonry structure located in an extreme environment facing the fiercest Atlantic storms off the southwest coast of England whose dynamic behaviour has been studied since 2016. Initially, a modal test was used to determine modal parameters; then, in 2017, a monitoring system was installed that has operated intermittently providing response data for a number of characteristic loading events. These events have included wave loads due to storms, a small UK earthquake, helicopters landing on the helideck, and the grounding of a ship on the reef. This is belie

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47

Ahearne, Mark, Pierre O. Bagnaninchi, Ying Yang, and Alicia J. El Haj. "Online monitoring of collagen fibre alignment in tissue-engineered tendon by PSOCT." Journal of Tissue Engineering and Regenerative Medicine 2, no. 8 (2008): 521–24. http://dx.doi.org/10.1002/term.124.

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48

Ventura, Manuela, Gerben M. Franssen, Egbert Oosterwijk, Otto C. Boerman, John A. Jansen, and X. Frank Walboomers. "SPECT vs. PET monitoring of bone defect healing and biomaterial performancein vivo." Journal of Tissue Engineering and Regenerative Medicine 10, no. 10 (2014): 843–54. http://dx.doi.org/10.1002/term.1862.

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49

East, Emma, Jonathan P. Golding, and James B. Phillips. "A versatile 3D culture model facilitates monitoring of astrocytes undergoing reactive gliosis." Journal of Tissue Engineering and Regenerative Medicine 3, no. 8 (2009): 634–46. http://dx.doi.org/10.1002/term.209.

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50

Lindenmayer, David B., and Gene E. Likens. "Adaptive monitoring: a new paradigm for long-term research and monitoring." Trends in Ecology & Evolution 24, no. 9 (2009): 482–86. http://dx.doi.org/10.1016/j.tree.2009.03.005.

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