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Journal articles on the topic 'Method of Regions'

Author: Grafiati

Published: 6 September 2023

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1

Lucia, Angelo, and Delong Liu. "An Acceleration Method for Dogleg Methods in Simple Singular Regions." Industrial & Engineering Chemistry Research 37, no. 4 (1998): 1358–63. http://dx.doi.org/10.1021/ie970681f.

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2

Şen, Zekai. "Modified hydrograph method for arid regions." Hydrological Processes 22, no. 3 (2008): 356–65. http://dx.doi.org/10.1002/hyp.6601.

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3

WYRWA, Dariusz. "Research methods and techniques applied during preparation of regional innovation strategies of Polish regions." Scientific Papers of Silesian University of Technology. Organization and Management Series 2021, no. 150 (2021): 347–56. http://dx.doi.org/10.29119/1641-3466.2021.150.26.

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Purpose: Review of regional innovation strategies of Polish regions to assess the scope of research methods and techniques applied during their preparation. Design/methodology/approach: Analysis of regional innovation strategies applicable in all voivodeships with respect to the research methods and techniques used during their preparation. Findings: Polish regions apply diversified methods and techniques that allow them to determine the directions of innovation development, yet in the course of smart strategy identification they encountered limitations with respect to the availability of quantitative aggregated data on the voivodeship or lower levels; therefore, some of them reached to surveys and interviews, as well as the Delphi method which allowed for mitigating the impact of these deficiencies. The regions did not focus exclusively on fulfilling the ex ante condition, but they were intent on proper designation of the priority areas with respect to the aid, which is testified by, among others, reaching to results of foresight type projects and up-dates of the prepared strategies. Originality/value: A comprehensive review of regional innovation strategies applicable in the Polish regions until 2020 and a concise analysis of methods and techniques applied during their preparation as a starting point for the improvement of processes of preparation of subsequent innovation strategies in voivodeships.

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4

Rosin, Paul L. "A simple method for detecting salient regions." Pattern Recognition 42, no. 11 (2009): 2363–71. http://dx.doi.org/10.1016/j.patcog.2009.04.021.

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5

Suslov, I. R. "Characteristic method in regions with complex geometry." Soviet Atomic Energy 65, no. 1 (1988): 605–8. http://dx.doi.org/10.1007/bf01122052.

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6

Jia, Di, Mingyuan Zhao, Jun Cao, and Weidong Song. "A Method of Non-textured Regions Matching." Chinese Journal of Electronics 28, no. 3 (2019): 598–603. http://dx.doi.org/10.1049/cje.2019.02.008.

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7

Martins, M. Madalena. "Extended convergence regions for the AOR method." Journal of Computational and Applied Mathematics 24, no. 3 (1988): 327–36. http://dx.doi.org/10.1016/0377-0427(88)90294-4.

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8

Ogata, Hidenori. "Dipole simulation method for two-dimensional potential problems in exterior regions and periodic regions." Journal of Physics: Conference Series 490 (March 11, 2014): 012054. http://dx.doi.org/10.1088/1742-6596/490/1/012054.

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9

Kulakov, V. N. "Method of assessment of honey significance of regions." Agrarian Science 329, no. 6 (2019): 58–60. http://dx.doi.org/10.32634/0869-8155-2019-329-6-58-60.

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10

McMenemy, Donald, David Sidoti, Krishna Rao Pattipati, and Francesco A. N. Palmieri. "A Conflict Detection Method for Ellipsoidal Safety Regions." IEEE Transactions on Aerospace and Electronic Systems 55, no. 4 (2019): 1933–44. http://dx.doi.org/10.1109/taes.2018.2879551.

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11

Watson, G. A. "A Levenberg–Marquardt method for estimating polygonal regions." Journal of Computational and Applied Mathematics 208, no. 2 (2007): 331–40. http://dx.doi.org/10.1016/j.cam.2006.10.001.

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12

Faiman, D., A. Zemel, and A. Zangvil. "A method for monitoring insolation in remote regions." Solar Energy 38, no. 5 (1987): 327–33. http://dx.doi.org/10.1016/0038-092x(87)90004-1.

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13

Muroi, Tomoya, Yongbum Lee, Du-Yih Tsai, and Masaki Tsurumaki. "A Detection Method for Blurred Regions in Radiographs." Japanese Journal of Radiological Technology 70, no. 3 (2014): 254–57. http://dx.doi.org/10.6009/jjrt.2014_jsrt_70.3.254.

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14

MIYAMOTO, KENTARO, TETSUO KAMINA, TETSUO SUGIYAMA, KEISUKE KAMEYAMA, KAZUO TORAICHI, and YASUHIRO OHMIYA. "A FUNCTION APPROXIMATION METHOD FOR IMAGES WITH GRADING REGIONS." International Journal of Image and Graphics 09, no. 01 (2009): 101–19. http://dx.doi.org/10.1142/s0219467809003307.

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In the last decade, many function-approximation methods for illustration images have been proposed. However, these methods cannot process more complex full color images effectively, even when some simple regularity of color transitions such as gradations appear in images. In this paper, we propose a rigorous function-approximation method that is applicable for gradation images. This method performs image segmentation that recognizes a gradation pattern as one region. This segmentation is performed by recursively approximating the tones of colors using multiple regression analysis of 2-variable functions. We compare the proposed method and the conventional methods with regard to the quality of enlarged images and the efficiency of image description and reproduction. The experimental results show that our approach is higher in quality, smaller in data size, and faster in computational costs than the conventional methods.

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15

Keller, J. B. "Stresses in Narrow Regions." Journal of Applied Mechanics 60, no. 4 (1993): 1054–56. http://dx.doi.org/10.1115/1.2900977.

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A method for calculating the stress distribution in a narrow region of an elastic plate is presented. It consists in treating the narrow region by beam theory, treating the rest of the plate by any computational or analytical method, and matching the results of these two calculations. It is illustrated by finding the stress distribution in the narrow region of a plate, between a straight edge and a nearby hole, when the plate is under tension. The same method can be applied to three-dimensional bodies with thin plate-like or shell-like regions.

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16

Yunus, A. A. M., A. H. M. Murid, and M. M. S. Nasser. "Numerical conformal mapping and its inverse of unbounded multiply connected regions onto logarithmic spiral slit regions and straight slit regions." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 470, no. 2162 (2014): 20130514. http://dx.doi.org/10.1098/rspa.2013.0514.

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This paper presents a boundary integral equation method with the adjoint generalized Neumann kernel for computing conformal mapping of unbounded multiply connected regions and its inverse onto several classes of canonical regions. For each canonical region, two integral equations are solved before one can approximate the boundary values of the mapping function. Cauchy's-type integrals are used for computing the mapping function and its inverse for interior points. This method also works for regions with piecewise smooth boundaries. Three examples are given to illustrate the effectiveness of the proposed method.

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17

Spałek, D. "Two theorems about Lorentz method for asymmetrical anisotropic regions." Bulletin of the Polish Academy of Sciences: Technical Sciences 61, no. 2 (2013): 399–404. http://dx.doi.org/10.2478/bpasts-2013-0039.

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Abstract The paper has dealt with two theoretical problems of calculation of electromagnetic force or torque. The first problem considers the magnetically anisotropic and conductive region. The theorem about equivalence of both Maxwell and Lorentz methods has been presented. The second problem deals with the independence from the integration surface of force or torque calculated by the Maxwell method. The second theorem which presents the sufficient condition for an independence problem in the anisotropic and nonconductive region has been formulated.

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18

Zhang, Yuanyuan, and Zhongying Chen. "Admissible Regions for Higher-Order Finite Volume Method Grids." East Asian Journal on Applied Mathematics 7, no. 2 (2017): 269–85. http://dx.doi.org/10.4208/eajam.290416.161016a.

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AbstractAdmissible regions for higher-order finite volume method (FVM) grids are considered. A new Hermite quintic FVM and a new hybrid quintic FVM are constructed to solve elliptic boundary value problems, and the corresponding admissible regions are investigated. A sufficient condition for the uniform local-ellipticity of the new hybrid quintic FVM is obtained when its admissible region is known. In addition, the admissible regions for a large number of higher-order FVMs are provided. For the same class of FVM (Lagrange, Hermite or hybrid), the higher order FVM has a smaller admissible region such that stronger geometric restrictions are required to guarantee its uniform local-ellipticity.

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19

Duren, Peter, and Glenn Schober. "A variational method for harmonic mappings onto convex regions." Complex Variables, Theory and Application: An International Journal 9, no. 2-3 (1987): 153–68. http://dx.doi.org/10.1080/17476938708814259.

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20

Wang, Hong-Guang, Guo-Jun Qiao, Ren-Xin Xu, and Yi Liu. "A Geometric Method to Constrain Emission Regions of Pulsars." Chinese Journal of Astronomy and Astrophysics 6, S2 (2006): 133–38. http://dx.doi.org/10.1088/1009-9271/6/s2/26.

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21

Maamari, F., and J. Rajski. "A method of fault simulation based on stem regions." IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 9, no. 2 (1990): 212–20. http://dx.doi.org/10.1109/43.46788.

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22

Tsuboi, H., K. Sue, and K. Kunisue. "Surface impedance method using boundary elements for exterior regions." IEEE Transactions on Magnetics 27, no. 5 (1991): 4118–21. http://dx.doi.org/10.1109/20.105007.

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23

Liou, Yuan Chang, and Yih Nen Jeng. "PARABOLIC EQUATION METHOD OF GRID GENERATION FOR ENCLOSED REGIONS." Numerical Heat Transfer, Part B: Fundamentals 29, no. 3 (1996): 289–303. http://dx.doi.org/10.1080/10407799608914983.

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24

Toland, B., B. Houshmand, and T. Itoh. "Modeling of nonlinear active regions with the FDTD method." IEEE Microwave and Guided Wave Letters 3, no. 9 (1993): 333–35. http://dx.doi.org/10.1109/75.244870.

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25

Yanagawa, Toru, Yasuo Nagasaka, and Naotaka Fujii. "Novel method to describe neural dynamics across brain regions." Neuroscience Research 68 (January 2010): e329. http://dx.doi.org/10.1016/j.neures.2010.07.1456.

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26

Xu, Zhitao, Hongchun Wu, Yunzhao Li, and Youqi Zheng. "Improved discrete nodal transport method for treating void regions." Annals of Nuclear Energy 108 (October 2017): 172–80. http://dx.doi.org/10.1016/j.anucene.2017.04.048.

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27

Gray, L. J. "Boundary element method for regions with thin internal cavities." Engineering Analysis with Boundary Elements 6, no. 4 (1989): 180–84. http://dx.doi.org/10.1016/0955-7997(89)90015-5.

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28

Tailony, Rauf. "A Method for Graphical Representation of Severe Resonance Regions." Journal of Failure Analysis and Prevention 20, no. 3 (2020): 958–66. http://dx.doi.org/10.1007/s11668-020-00899-6.

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29

Kropp, Per, and Barbara Schwengler. "Three-Step Method for Delineating Functional Labour Market Regions." Regional Studies 50, no. 3 (2014): 429–45. http://dx.doi.org/10.1080/00343404.2014.923093.

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30

Jeng, Yih-Nen, and Yuan-Chang Liou. "Hyperbolic equation method of grid generation for enclosed regions." AIAA Journal 34, no. 6 (1996): 1293–95. http://dx.doi.org/10.2514/3.13228.

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31

Ojeda-Gonzalez, A., O. Mendes, A. Calzadilla, M. O. Domingues, A. Prestes, and V. Klausner. "An Alternative Method for Identifying Interplanetary Magnetic Cloud Regions." Astrophysical Journal 837, no. 2 (2017): 156. http://dx.doi.org/10.3847/1538-4357/aa6034.

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32

DeLillo, Thomas K., and Alan R. Elcrat. "A Fornberg-like conformal mapping method for slender regions." Journal of Computational and Applied Mathematics 46, no. 1-2 (1993): 49–64. http://dx.doi.org/10.1016/0377-0427(93)90286-k.

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33

Zhou, Wancheng. "Method for exploring glass-forming regions in new systems." Journal of Non-Crystalline Solids 201, no. 3 (1996): 256–61. http://dx.doi.org/10.1016/0022-3093(96)00410-3.

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34

Pantazis, Ricardo D., and Daniel B. Szyld. "Regions of convergence of the Rayleigh quotient iteration method." Numerical Linear Algebra with Applications 2, no. 3 (1995): 251–69. http://dx.doi.org/10.1002/nla.1680020307.

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35

Dryja, M., and W. Proskurowski. "Composite iterative method for elliptic problems in irregular regions." Applied Numerical Mathematics 6, no. 4 (1990): 263–79. http://dx.doi.org/10.1016/0168-9274(90)90020-g.

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36

Ahmad, Fayyaz, M. Maqbool, Eunwoo Kim, Hyunwook Park, and Dae-Shik Kim. "An efficient method for effective connectivity of brain regions." Concepts in Magnetic Resonance Part A 40A, no. 1 (2012): 14–24. http://dx.doi.org/10.1002/cmr.a.20230.

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37

Duan, Yong, and Yong-ji Tan. "Meshless Galerkin method based on regions partitioned into subdomains." Applied Mathematics and Computation 162, no. 1 (2005): 317–27. http://dx.doi.org/10.1016/j.amc.2003.12.138.

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38

Hase, Masahiko, Gen Suzuki, and Hisayasu Itoh. "A method for extracting marked regions from document images." Systems and Computers in Japan 18, no. 8 (1987): 77–87. http://dx.doi.org/10.1002/scj.4690180808.

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39

F. Tojo, F. Adrián. "A constructive approach towards the method of solution-regions." Journal of Mathematical Analysis and Applications 472, no. 2 (2019): 1803–19. http://dx.doi.org/10.1016/j.jmaa.2018.12.024.

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40

Homer, Tyler, Maaz Mahmood, and Prashant Mhaskar. "A trajectory‐based method for constructing null controllable regions." International Journal of Robust and Nonlinear Control 30, no. 2 (2019): 776–86. http://dx.doi.org/10.1002/rnc.4805.

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41

BUSHUEVA, Marina Aleksandrovna, Natalya Nikolaevna MASYUK, Zinaida Vasilievna BRAGINA, and Anna Svyatoslavovna ALEKHINA. "METHOD FOR SUBSTANTIATION OF THE FACTOR PORTRAIT OF REGIONS." Azimuth of Scientific Research: Economics and Administration 11, no. 4 (2022): 14–17. http://dx.doi.org/10.57145/27128482_2022_11_04_03.

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42

Junwei Xin, Junwei Xin, Famao Ye Junwei Xin, Yuanping Xia Famao Ye, Yan Luo Yuanping Xia, and Xiaoyong Chen Yan Luo. "A New Remote Sensing Image Retrieval Method Based on CNN and YOLO." 網際網路技術學刊 24, no. 2 (2023): 233–42. http://dx.doi.org/10.53106/160792642023032402002.

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<>Retrieving remote sensing images plays a key role in RS fields, which activates researchers to design a highly effective extraction method of image high-level features. However, despite the advanced features of the image can be extracted by deep-learning method, features fail to cover the overall information due to its rich and complex background. Extract key regions from RS images, recede background interference and retrieval accuracy needs to be solved. Combined YOLOv5 target recognition algorithm with deep-learning method, this paper proposes a novel retrieval method based on target critical region detection. Firstly, the key retrieval regions have been identified. YOLOv5 target recognition algorithm has been used to identify the key regions of the image and served as the retrieval regions. Secondly, the retrieval characteristics are determined. Combining with the CNN model ResNet50, the retrieval features are extracted from the retrieval regions acquired in the previous step, in addition, PCA method has been used to reduce the dimension of the retrieval features. Finally, using weighted distance based on class probability to measure the similarity between a query and retrieve images. Experimental results show that the proposed method can extract better image retrieval features and improve the retrieval performance of RS image.<>

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43

Gal, Yaniv, Nicholas Dowson, Pierrick Bourgeat, et al. "Amorphous Regions-of-Interest Projection Method for Simplified Longitudinal Comparison of Dynamic Regions in Cancer Imaging." IEEE Transactions on Biomedical Engineering 61, no. 2 (2014): 264–72. http://dx.doi.org/10.1109/tbme.2013.2282402.

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44

Altemani, Albina Messias de Almeida Milani. "Nucleolar Organizer Regions (NORs)." Sao Paulo Medical Journal 112, no. 4 (1994): 642–45. http://dx.doi.org/10.1590/s1516-31801994000400005.

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Counts of nucleolar regions (NORs) demonstrated by a silver staining technique in paraffin sections, have been used to distinguish between benign and malignant lesions. AgNORs were studied in 24 biopsies from oral cavity (5 cases of normal oral mucosa, 5 of pseudocarcinomatous hyperplasia and 14 of squamous cell carcinoma, subdivided according to degree of differentiation: 5 grade 1, 5 grade 2 and 4 grade 3) to find whether they were helpful in distinguishing pseudocarcinomatous hyperplasia due to chronic parasitic infections from squamous cell carcinoma. Two methods of counting AgNORs were used: (A) a simpler one which counts nucleolar clusters (AgNU) and satellite AgNORs and the other (B) counting all individual AgNORs, including those within AgNUs. In both methods the lowest mean values were observed for grade 3 carcinoma, while the highest belonged to grade 2 carcinoma. The simpler method (A) was the most useful because AgNU counts showed significant difference when pseudocarcinomatous hyperplasia was compared with grade 1 and 2 carcinomas, which are the most difficult to discriminate from it. However the overlapping of values render the technique of limited use in individual cases.

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45

Dobson, Laszlo, and Gábor E. Tusnády. "MemDis: Predicting Disordered Regions in Transmembrane Proteins." International Journal of Molecular Sciences 22, no. 22 (2021): 12270. http://dx.doi.org/10.3390/ijms222212270.

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Transmembrane proteins (TMPs) play important roles in cells, ranging from transport processes and cell adhesion to communication. Many of these functions are mediated by intrinsically disordered regions (IDRs), flexible protein segments without a well-defined structure. Although a variety of prediction methods are available for predicting IDRs, their accuracy is very limited on TMPs due to their special physico-chemical properties. We prepared a dataset containing membrane proteins exclusively, using X-ray crystallography data. MemDis is a novel prediction method, utilizing convolutional neural network and long short-term memory networks for predicting disordered regions in TMPs. In addition to attributes commonly used in IDR predictors, we defined several TMP specific features to enhance the accuracy of our method further. MemDis achieved the highest prediction accuracy on TMP-specific dataset among other popular IDR prediction methods.

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46

ÖRTLEK, Zekiye, Cuma DEMİRTAŞ, and Munise ILIKKAN ÖZGÜR. "Environmental Performance: Evidence From Level-2 Regions." Fiscaoeconomia 7, no. 1 (2023): 406–43. http://dx.doi.org/10.25295/fsecon.1160081.

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The aim of this study is to calculate the environmental performance of the Level-2 regions spanning the period between 2009 and 2020, and make policy recommendations in line with relevant findings. Multi Criteria Decision Making (MCDM) methods are applied for this evaluation, in which total electricity consumption per capita and number of ventures in agriculture, forestry, fishery and water supply are used as indicators. Initially, the weights of the aforementioned criteria are calculated via the Entropy method, one of the MCDM techniques. Then, the environmental performance ranking of the Level-2 Region is derived through the ARAS method. Findings show that the criterion with the highest weight is electricity consumption per capita, whereas the one with the lowest weight is water supply. In addition, ARAS method posit that while TR10 (Istanbul) performs the best among the sample, TR81 (Zonguldak, Karabük, Bartın) ranks last.

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47

Hu, Zhicheng, and Heyu Wang. "A Moving Mesh Method for Kinetic/Hydrodynamic Coupling." Advances in Applied Mathematics and Mechanics 4, no. 06 (2012): 685–702. http://dx.doi.org/10.4208/aamm.12-12s01.

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AbstractThis paper deals with the application of a moving mesh method for kinetic/hydrodynamic coupling model in two dimensions. With some criteria, the domain is dynamically decomposed into three parts: kinetic regions where fluids are far from equilibrium, hydrodynamic regions where fluids are near thermody-namical equilibrium and buffer regions which are used as a smooth transition. The Boltzmann-BGK equation is solved in kinetic regions, while Euler equations in hydrodynamic regions and both equations in buffer regions. By a well defined monitor function, our moving mesh method smoothly concentrate the mesh grids to the regions containing rapid variation of the solutions. In each moving mesh step, the solutions are conservatively updated to the new mesh and the cut-off function is rebuilt first to consist with the region decomposition after the mesh motion. In such a framework, the evolution of the hybrid model and the moving mesh procedure can be implemented independently, therefore keep the advantages of both approaches. Numerical examples are presented to demonstrate the efficiency of the method.

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48

Schappe, Tyler, Sarah Peskoe, Nrupen Bhavsar, L. Ebony Boulware, Jane Pendergast, and Lisa M. McElroy. "Geospatial Analysis of Organ Transplant Referral Regions." JAMA Network Open 5, no. 9 (2022): e2231863. http://dx.doi.org/10.1001/jamanetworkopen.2022.31863.

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ImportanceSystem and center-level interventions to improve health equity in organ transplantation benefit from robust characterization of the referral population served by each transplant center. Transplant referral regions (TRRs) define geographic catchment areas for transplant centers in the US, but accurately characterizing the demographics of populations within TRRs using US Census data poses a challenge.ObjectiveTo compare 2 methods of linking US Census data with TRRs—a geospatial intersection method and a zip code cross-reference method.Design, Setting, and ParticipantsThis cohort study compared spatial congruence of spatial intersection and zip code cross-reference methods of characterizing TRRs at the census block level. Data included adults aged 18 years and older on the waiting list for kidney transplant from 2008 through 2018.ExposuresEnd-stage kidney disease.Main Outcomes and MeasuresMultiple assignments, where a census tract or block group crossed the boundary between 2 hospital referral regions and was assigned to multiple different TRRs; misassigned area, the portion of census tracts or block groups assigned to a TRR using either method but fall outside of the TRR boundary.ResultsIn total, 102 TRRs were defined for 238 transplant centers. The zip code cross-reference method resulted in 4627 multiple-assigned census block groups (representing 18% of US land area assigned to TRRs), while the spatial intersection method eliminated this problem. Furthermore, the spatial method resulted in a mean and median reduction in misassigned area of 65% and 83% across all TRRs, respectively, compared with the zip code cross-reference method.Conclusions and RelevanceIn this study, characterizing populations within TRRs with census block groups provided high spatial resolution, complete coverage of the country, and balanced population counts. A spatial intersection approach avoided errors due to duplicative and incorrect assignments, and allowed more detailed and accurate characterization of the sociodemographics of populations within TRRs; this approach can enrich transplant center knowledge of local referral populations, assist researchers in understanding how social determinants of health may factor into access to transplant, and inform interventions to improve heath equity.

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49

Huseynova, A. D., T. Sh Salıfova, E. E. Alakbarov, and G. I. Abbasova. "Calculation Method of Innovation Index of Azerbaijan." Information and Innovations 16, no. 2 (2021): 42–50. http://dx.doi.org/10.31432/1994-2443-2021-16-2-42-50.

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The article was updated taking into account the national and specific features of Azerbaijan, statistical indicators in this area, the collection and processing of information, the innovative potential of economic regions and sectors, were changed the system of indicators and assessments of the country’s scientific and technological development. The used methodology is based on the experience of countries such as Russia, Belarus and Kazakhstan. The selected system of indicators allows us to assess the level of innovative development in different regions, to analyze the factors affecting the innovation index in economic regions. The results show that the formation of a national innovation system requires the development of economic regions.

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50

Tsurumi, Toshiyuki. "142. Direct method of the upper GI series; VTR combine method in C regions." Japanese Journal of Radiological Technology 47, no. 8 (1991): 1177. http://dx.doi.org/10.6009/jjrt.kj00003323886.

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