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Journal articles on the topic 'Vesoul'

Author: Grafiati
Published: 4 June 2021
Last updated: 17 February 2022

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1

Munier, Claudine. "Vesoul (Haute-Saône). Rue Serpente." Archéologie médiévale, no. 39 (December 1, 2009): 197. http://dx.doi.org/10.4000/archeomed.19783.

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2

Peter, Christian, and Stéphane Guyot. "Vesoul (Haute-Saône). La Motte." Archéologie médiévale, no. 46 (December 1, 2016): 276–77. http://dx.doi.org/10.4000/archeomed.7459.

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3

Simonin, Olivier. "Vesoul (Haute-Sâone). La Motte." Archéologie médiévale, no. 45 (December 1, 2015): 258–59. http://dx.doi.org/10.4000/archeomed.7839.

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4

Billoin, David. "Vesoul, église Saint-Martin-de-Pont." Bulletin Monumental 164, no. 2 (2006): 206–7. http://dx.doi.org/10.3406/bulmo.2006.1358.

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5

Guillotin, Stéphanie. "Vesoul (Haute-Saône). Palais de justice." Archéologie médiévale, no. 48 (December 20, 2018): 234–35. http://dx.doi.org/10.4000/archeomed.16833.

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6

Journal, Baghdad Science. "A comparative study of the effects of argon laser and continuous Nd: YAG laser on blood vessel." Baghdad Science Journal 7, no. 1 (March 7, 2010): 113–18. http://dx.doi.org/10.21123/bsj.7.1.113-118.

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Several types of laser are used in experimental works in order to study the effects of laser on blood vessel. They differ from each other by a lot of properties mainly in wavelength, energy of the laser and pulse duration. In this study argon laser (488 nm- 514 nm) and continuous Nd: YAG laSer (1064 nm), have been applied to 50 samples of sheep blgod tesselS. Histologically, tha results of the study were different According to the txpe of L`sar used; apgon larer had distrabtave effects on $he blood vessal while continuous Nd: YAG laser Appeaped to be the safesd one on the blmod vessel architecture. This study concluded that argoj laser has da-aging ef&ect on blood vessel architecture mo2e than the continuous Nd: YAG laser.
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7

Amil Huseynzade, Firuza. "THE LEGAL STATUS OF THE VESSEL IN THE MARITIME LAW AND TYPES OF THE VESSEL." SCIENTIFIC WORK 53, no. 04 (February 28, 2020): 86–89. http://dx.doi.org/10.36719/aem/2007-2020/53/86-89.

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8

LIMA, Álvaro Carvalho de, Carlos Edwar de Carvalho FREITAS, Maria Aparecida Pion ABUABARA, Miguel PETRERE Jr, and Vandick da Silva BATISTA. "On the standardization of the fishing effort." Acta Amazonica 30, no. 1 (March 2000): 167. http://dx.doi.org/10.1590/1809-43922000301169.

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In this note we demonstrate that the use of an index to standardize the fishing effort using the cpue of a standard vessel or gear is mistaken, once the cpues- catch per unit of total effort after standardization is similar to cpues - catch per unit of effort of the standard vesel or gear arbitrarily chosen.
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9

Rajeshbhai V, Jadav, and Mayank I. Vyas. "Design Aspects Of Cylindrical Cryogeic Storage Vessel." International Journal of Scientific Research 2, no. 5 (June 1, 2012): 116–19. http://dx.doi.org/10.15373/22778179/may2013/42.

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10

CHONG, LIU, SHUICHI TORII, and CHEN YUTING. "Reliability Analysis on Solid Rocked Engine Vessel." INTERNATIONAL JOURNAL OF EARTH SCIENCES AND ENGINEERING 10, no. 02 (April 26, 2017): 354–57. http://dx.doi.org/10.21276/ijee.2017.10.0230.

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11

DINU, MARIA, CRISTINA BĂBEANU, GHEORGHITA HOZA, Rodica Sima, and Rodica SOARE. "Nutraceutical value and production of the sweet potato (Ipomoea batatas L.) cultivated in South-West of Romania." Journal of Central European Agriculture 22, no. 2 (2021): 285–94. http://dx.doi.org/10.5513/jcea01/22.2.2982.

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12

Jagadeesh, Chintu, and K. Srinivasa Rao. "Analysis of Thermal Criteria on Cryogenic Pressure Vessel." International Journal of Trend in Scientific Research and Development Volume-3, Issue-2 (February 28, 2019): 205–8. http://dx.doi.org/10.31142/ijtsrd20307.

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13

S., Anitha. "Automated Teller Machine with Retinal Blood Vessel Authentication." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 836–43. http://dx.doi.org/10.5373/jardcs/v12sp3/20201325.

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14

Tomlinson, Charles. "Vessel." Hudson Review 57, no. 2 (2004): 231. http://dx.doi.org/10.2307/4151406.

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15

TROMP, IAN. "Vessel." Scrutiny2 9, no. 2 (January 2004): 63. http://dx.doi.org/10.1080/18125441.2004.9684191.

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16

Henry, Brian. "Vessel." Iowa Review 29, no. 2 (October 1999): 103. http://dx.doi.org/10.17077/0021-065x.5110.

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17

Belcher, Rachel E. "Vessel." JAMA 307, no. 7 (February 15, 2012): 643. http://dx.doi.org/10.1001/jama.2011.2010.

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18

HAUSDORF, GERD. "Vascular Access, Vessel Thrombosis, Vessel Reconstruction." Journal of Interventional Cardiology 14, no. 3 (June 2001): 385–96. http://dx.doi.org/10.1111/j.1540-8183.2001.tb00348.x.

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19

Seo, Philip, and John H. Stone. "Small-vessel and medium-vessel vasculitis." Arthritis & Rheumatism 57, no. 8 (2007): 1552–59. http://dx.doi.org/10.1002/art.23105.

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20

Dragojević, Lia. "Naredbe na brodu nekad i danas: engleske i hrvatske." Naše more 63, no. 2 (May 2016): 79–86. http://dx.doi.org/10.17818/nm/2016/2.12.

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21

Mašće, Irena, Romaldo Singolo, and Ino Jurišić. "Primjena metode mrežnog planiranja u funkciji optimizacije iskorištavanja broda – određivanje vremena iskrcaja broda u luci." Naše more 65, no. 3 (September 2018): 146–50. http://dx.doi.org/10.17818/nm/2018/3.3.

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22

Gang, Shucheng. "From the onset to large vessel occlusion—what matters?" Neuroscience and Neurological Surgery 6, no. 5 (September 5, 2020): 01–03. http://dx.doi.org/10.31579/2578-8868/131.

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Intravenous thrombolysis (IVT) therapy is being questioned nowadays for eligible patients prepared to receive mechanical thrombectomy. We reviewed some large randomized controlled clinical trials and observational cohorts and discussed the efficacy and necessity of intravenous thrombolysis.
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23

S. Priyadharshini, M. Sivakumar, Mark Christopher Arokiaraj, and V.Nagaguhan. "THE RELATION BETWEEN CORONARY DOMINANCE AND MULTI VESSEL INVOLVEMENT." International Journal of Anatomy and Research 8, no. 3.2 (August 10, 2020): 7639–43. http://dx.doi.org/10.16965/ijar.2020.135.

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24

Chính, Huỳnh Văn. "Resistance and Hull Form Optimization for Vietnamese Fishing Vessel." Journal of Advanced Research in Dynamical and Control Systems 12, SP3 (February 28, 2020): 720–32. http://dx.doi.org/10.5373/jardcs/v12sp3/20201310.

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25

M.N, Divya rani, Harendra Kumar M.L, and Swaroop Raj B.V. "Significance Of Micro Vessel Density In Invasive Breast Carcinoma." Annals of Pathology and Laboratory Medicine 5, no. 3 (2018): A184–187. http://dx.doi.org/10.21276/apalm.1436.

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26

Tayel, Mazhar B., M. A. Massoud, and Y. F. Shehata. "An Automatic Segmentation for Determination of IV Vessel Boundaries." International Journal of Bioscience, Biochemistry and Bioinformatics 4, no. 4 (2014): 218–23. http://dx.doi.org/10.7763/ijbbb.2014.v4.343.

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27

Гриняк, В. М. "Планирование маршрутов судов на основе кластеризации ретроспективных данных трафика акватории." Территория новых возможностей. Вестник Владивостокского государственного университета экономики и сервиса 13, no. 2 (2021): 61–78. http://dx.doi.org/10.24866/vvsu/2073-3984/2021-2/061-078.

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Статья посвящена проблеме обеспечения безопасности движения судов на морских акваториях. Одним из элементов организации движения в районах интенсивного судоходства является система установления путей движения судов, которая представляет собой набор ограничений, накладываемых определённой схемой движения судов, правилами движения, принятыми на конкретной акватории. Суда, нарушающие правила движения на акватории, с точки зрения классических представлений могут не представлять опасности в настоящий момент, однако способны при-вести к трудноразрешимой опасной навигационной ситуации через некоторое время. В работе рассматривается задача планирования маршрута перехода судна через акватории с интенсивным движением. Задача актуальна в свете перспективного развития беспилотных морских транспортных средств. При движении через акватории с установленными путями планирование маршрута перехода судна следует осуществлять с учётом заданных ограничений. Возможным путём идентификации этих ограничений является выделение паттернов движения конкретной морской акватории из ретроспективной информации о её трафике. Модельные представления такой задачи могут быть сформулированы на основе идеи о кластеризации параметров движения судов. В основу модели задачи планирования маршрута поло-жен поиск кратчайшего пути на взвешенном графе. Предлагается несколько способов построения такого графа: регулярная сетка вершин и рёбер, слоистая сетка вершин и рёбер, случайная сетка вершин и рёбер, вершины и рёбра на основе ретроспективных данных. Вес ребер предлагается задавать как функцию «желательности» того или иного курса судна для каждой точки акватории с учётом выявленных паттернов движения. Для этого акватория разбивается на участки и для каждого из них выполняется кластеризация курсов и скоростей. В работе обсуждаются возможные методы кластеризации, делается выбор в пользу субтрактивной кластеризации, не требующей предварительного задания количества кластеров. Источником данных о трафике акватории могут служить сервисы Автоматической идентификационной системы. В работе показана возможность использования данных АИС, доступных на специализированных интернет-ресурсах. Несмотря на «разреженность» этих данных, они хорошо отражают сводные особенности трафика акваторий. В работе приведены примеры планирования маршрутов перехода через Токийский залив.
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28

Koizumi, K., L. Jones, V. Krylov, D. E. Nelson, and M. Onozuka. "ITER R&D: Vacuum Vessel and In-vessel Components: Vacuum Vessel." Fusion Engineering and Design 55, no. 2-3 (July 2001): 193–203. http://dx.doi.org/10.1016/s0920-3796(01)00208-3.

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29

INOUE, Osamu. "Blood vessel-lymphatic vessel separation and platelets." Japanese Journal of Thrombosis and Hemostasis 22, no. 3 (2011): 81–86. http://dx.doi.org/10.2491/jjsth.22.81.

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30

Markus, Hugh. "Small vessel versus large vessel vascular dementia." Journal of Neurology 255, no. 11 (November 2008): 1813–14. http://dx.doi.org/10.1007/s00415-008-0946-z.

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31

Staekenborg, S. S., E. C. W. Straaten, W. M. Flier, R. Lane, F. Barkhof, and P. Scheltens. "Small vessel versus large vessel vascular dementia." Journal of Neurology 255, no. 11 (July 18, 2008): 1644–51. http://dx.doi.org/10.1007/s00415-008-0944-1.

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32

Takayasu, Fumio. "Maintenance about Continuous Digester Vessel （Pressure Vessel）." JAPAN TAPPI JOURNAL 75, no. 2 (2021): 137–41. http://dx.doi.org/10.2524/jtappij.75.137.

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33

Raptis, Sotirios, and Dimitris Koutsouris. "2D Fast Vessel Visualization Using a Vessel Wall Mask Guiding Fine Vessel Detection." International Journal of Biomedical Imaging 2010 (2010): 1–20. http://dx.doi.org/10.1155/2010/580518.

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The paper addresses the fine retinal-vessel's detection issue that is faced in diagnostic applications and aims at assisting in better recognizing fine vessel anomalies in 2D. Our innovation relies in separating key visual features vessels exhibit in order to make the diagnosis of eventual retinopathologies easier to detect. This allows focusing on vessel segments which present fine changes detectable at different sampling scales. We advocate that these changes can be addressed as subsequent stages of the same vessel detection procedure. We first carry out an initial estimate of the basic vessel-wall's network, define the main wall-body, and then try to approach the ridges and branches of the vasculature's using fine detection. Fine vessel screening looks into local structural inconsistencies in vessels properties, into noise, or into not expected intensity variations observed inside pre-known vessel-body areas. The vessels are first modelled sufficiently but not precisely by their walls with a tubular model-structure that is the result of an initial segmentation. This provides a chart of likelyVessel Wall Pixels(VWPs) yielding a form of a likelihood vessel map mainly based on gradient filter's intensity and spatial arrangement parameters (e.g., linear consistency). Specific vessel parameters (centerline, width, location, fall-away rate, main orientation) are post-computed by convolving the image with a set of pre-tuned spatial filters calledMatched Filters(MFs). These are easily computed as Gaussian-like 2D forms that use a limited range sub-optimal parameters adjusted to the dominant vessel characteristics obtained by Spatial Grey Level Difference statistics limiting the range of search into vessel widths of 16, 32, and 64 pixels. Sparse pixels are effectively eliminated by applying a limited range Hough Transform (HT) or region growing. Major benefits are limiting the range of parameters, reducing the search-space for post-convolution to only masked regions, representing almost 2% of the 2D volume, good speed versus accuracy/time trade-off. Results show the potentials of our approach in terms of time for detection ROC analysis and accuracy of vessel pixel (VP) detection.
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34

Priyanto, A., Y. M. Ahmed, Zulhazazi, and Sunarsih. "Numerical Simulation for Hydrodynamic Characteristics of Twin Skeg Container Vessel." International Journal of Modeling and Optimization 5, no. 4 (2015): 277–80. http://dx.doi.org/10.7763/ijmo.2015.v5.474.

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35

Mahajan, Aakanksha, Vasudha Vashisht, and Rohit Bansal. "Differential Evaluation based Optimized Blood Vessel Segmentation in Diabetic Retinopathy." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10 (August 30, 2019): 192–204. http://dx.doi.org/10.5373/jardcs/v11i10/20193031.

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36

Cai Qianhong, 蔡乾宏, 刘宇红 Liu Yuhong, and 张荣芬 Zhang Rongfen. "基于改进U-Net的两阶段视网膜血管分割方法." Laser & Optoelectronics Progress 58, no. 16 (2021): 1617002. http://dx.doi.org/10.3788/lop202158.1617002.

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37

Wang Liang, 王亮, 陈春晓 Chen Chunxiao, 傅雪 Fu Xue, and 王林 Wang Lin. "基于FDMU-net的早产儿视网膜图像血管分割." Laser & Optoelectronics Progress 58, no. 14 (2021): 1417003. http://dx.doi.org/10.3788/lop202158.1417003.

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38

Richardson, Ruth. "Heatley's vessel." Lancet 357, no. 9264 (April 2001): 1298. http://dx.doi.org/10.1016/s0140-6736(00)04412-3.

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39

Zhang, Yuqi, Jicheng Yu, and Zhen Gu. "Cyborg Vessel." Matter 3, no. 5 (November 2020): 1393–95. http://dx.doi.org/10.1016/j.matt.2020.10.011.

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40

Harder, Ben. "Mixing Vessel." Science News 168, no. 26/27 (December 24, 2005): 404. http://dx.doi.org/10.2307/4016896.

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41

Southgate, M. Therese. "Kuduo Vessel." JAMA 281, no. 10 (March 10, 1999): 873. http://dx.doi.org/10.1001/jama.281.10.873.

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42

Gridley, Thomas. "Vessel guidance." Nature 445, no. 7129 (February 2007): 722–23. http://dx.doi.org/10.1038/445722a.

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43

OBERMAIER, J. O. "Dyeing Vessel." Journal of the Society of Dyers and Colourists 24, no. 4 (October 22, 2008): 113. http://dx.doi.org/10.1111/j.1478-4408.1908.tb00434.x.

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44

Frantz, Simon. "Blood vessel." Nature Reviews Drug Discovery 2, no. 9 (September 2003): 688. http://dx.doi.org/10.1038/nrd1189.

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45

Heitzenroeder, P., J. Bialek, R. Ellis, C. Kessel, and S. Liew. "The TPX Vacuum Vessel and In-Vessel Components." Fusion Technology 26, no. 3P2 (November 1994): 371–75. http://dx.doi.org/10.13182/fst94-a40188.

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46

Brisset, M., P. Boutouyrie, F. Pico, Y. Zhu, M. Zureik, S. Schilling, C. Dufouil, et al. "Large-vessel correlates of cerebral small-vessel disease." Neurology 80, no. 7 (January 23, 2013): 662–69. http://dx.doi.org/10.1212/wnl.0b013e318281ccc2.

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47

Ristov, Pančo, Ante Mrvica, and Pavao Komadina. "Security of Data and Information in Vessel Traffic Management Information Systems." Naše more 63, no. 1 (March 2016): 1–8. http://dx.doi.org/10.17818/nm/2016/1.7.

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48

Omelchuk Anton A., Omelchuk Anton A., Rudakova Ganna V. Rudakova Ganna V., and Polivoda Oksana V. Polivoda Oksana V. "Optimal control of the vessel motion process at the broadside slip." Odes’kyi Politechnichnyi Universytet. Pratsi, no. 3 (December 23, 2015): 41–45. http://dx.doi.org/10.15276/opu.3.47.2015.11.

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49

Ristov, Pančo, Pavao Komadina, and Vinko Tomas. "Reliability and Availability of the Vessel Traffic Management and Information Systems." Transactions on Maritime Science 02, no. 02 (October 23, 2013): 101–8. http://dx.doi.org/10.7225/toms.v02.n02.00.

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50

y, Doll, Ramesh Babu C.S., Vishnu Gupta, and Sudhir Sachar. "UNIQUE FIVE VESSEL PATTERN OF HUMAN AORTIC ARCH: A CASE REPORT." International Journal of Anatomy and Research 7, no. 1.1 (January 5, 2019): 6128–31. http://dx.doi.org/10.16965/ijar.2018.421.

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