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Journal articles on the topic 'Functional Matching'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

LI, Guo-Hu, Xiao-Kun DU, Fang-Xiao HU, Bing YANG, and Xiang-Hong TANG. "Structure Matching Method Based on Functional Dependencies." Journal of Software 20, no. 10 (November 6, 2009): 2667–78. http://dx.doi.org/10.3724/sp.j.1001.2009.03487.

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2

Poulovassilis, A. "A Pattern-Matching Algorithm for Functional Databases." Computer Journal 36, no. 2 (February 1, 1993): 195–99. http://dx.doi.org/10.1093/comjnl/36.2.195.

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3

Mardia, Kanti V., Vysaul B. Nyirongo, Peter J. Green, Nicola D. Gold, and David R. Westhead. "Bayesian refinement of protein functional site matching." BMC Bioinformatics 8, no. 1 (2007): 257. http://dx.doi.org/10.1186/1471-2105-8-257.

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4

Butler, David L., Natalia Juncosa-Melvin, John West, Jason Shearn, Marc Galloway, Greg Boivin, Victor Nirmalanandhan, and Gindi Gooch. "Functional Tissue Engineering for Soft Tissue Repair : Matching In Vivo Biomechanics(International Workshop 3)." Proceedings of the Bioengineering Conference Annual Meeting of BED/JSME 2005.18 (2006): 4–5. http://dx.doi.org/10.1299/jsmebio.2005.18.4.

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5

Bowler, David R. "Building bridges: matching density functional theory with experiment." Contemporary Physics 59, no. 4 (October 2, 2018): 377–90. http://dx.doi.org/10.1080/00107514.2019.1578079.

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6

Schnoebelen, Ph. "Refined compiliation of pattern-matching for functional languages." Science of Computer Programming 11, no. 2 (December 1988): 133–59. http://dx.doi.org/10.1016/0167-6423(88)90002-0.

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7

Petrulis, Andrius, Pranciškus Vitta, Justina Aglinskaitė, Rimantas Vaicekauskas, and Artūras Žukauskas. "Metameric Light Sources: A Recent Paradigm for Functional Lighting." Proceedings of the Latvian Academy of Sciences. Section B. Natural, Exact, and Applied Sciences. 71, no. 5 (October 26, 2017): 366–71. http://dx.doi.org/10.1515/prolas-2017-0062.

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Abstract Recent progress in tuneable solid-state light sources opens new opportunities in a niche and high added value lighting applications. The standard colorimetric technique of composing an identical colour coordinate metameric light spectra are facing the challenges due to the colour discrepancy noticed by the observers. A side-by-side colour matching experiment was performed with two tuneable tetrachromatic RAGB lamps (638 nm red, 598 nm pc amber, 518 nm green, 451 nm blue LEDs) to compare the colour of the metameres in a 10-deg viewing angle. The metameric light matching was investigate

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8

Horwitz, Barry, Cheryl L. Grady, James V. Haxby, Mark B. Schapiro, Stanley I. Rapoport, Leslie G. Ungerleider, and Mortimer Mishkin. "Functional Associations among Human Posterior Extrastriate Brain Regions during Object and Spatial Vision." Journal of Cognitive Neuroscience 4, no. 4 (October 1992): 311–22. http://dx.doi.org/10.1162/jocn.1992.4.4.311.

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Primate extrastriate visual cortex is organized into an occipitotemporal pathway for object vision and an occipitoparietal pathway for spatial vision. Correlations between normalized regional cerebral blood flow values (regional divided by global flows), obtained using H215O and positron emission tomography, were used to examine functional associations among posterior brain regions for these two pathways in 17 young men during performance of a face matching task and a dot-location matching task. During face matching, there was a significant correlation in the right hemisphere between an extras

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9

Tang, Shaoqiang, and Songsong Ji. "Stability of Atomic Simulations with Matching Boundary Conditions." Advances in Applied Mathematics and Mechanics 6, no. 5 (October 2014): 539–51. http://dx.doi.org/10.4208/aamm.2013.m360.

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AbstractWe explore the stability of matching boundary conditions in one space dimension, which were proposed recently for atomic simulations (Wang and Tang, Int. J. Numer. Mech. Eng., 93 (2013), pp. 1255–1285). For a finite segment of the linear harmonic chain, we construct explicit energy functionals that decay along with time. For a nonlinear atomic chain with its nonlinearity vanished around the boundaries, an energy functional is constructed for the first order matching boundary condition. Numerical verifications are also presented.

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10

Carpenter, Christopher J. "A Meta-Analysis of the Functional Matching Effect Based on Functional Attitude Theory." Southern Communication Journal 77, no. 5 (November 2012): 438–51. http://dx.doi.org/10.1080/1041794x.2012.699989.

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11

LI, PEIGANG, XIANYING FENG, and YAQING SONG. "THE CASE-BASED REASONING TECHNOLOGY BASED ON FUNCTIONAL MODE." Journal of Advanced Manufacturing Systems 10, no. 01 (June 2011): 199–206. http://dx.doi.org/10.1142/s0219686711002156.

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The conceptual design of products is an important stage in the design process. However, how to reuse the existing and successful parts is always the key factor to the success of products in the process. To match the case parts rapidly and accurately, this paper puts forward the case-based reasoning (CBR) technology based on functional mode, which expresses accurately the functional structure through the generalized positioning of parts in products. Also, the scheme of variable-length hierarchical coding of functional mode is proposed, and the analytic hierarchy process (AHP) is adopted to dete

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12

LI, Guo-Hui, Xiao-Kun DU, and Jian-Qiang DU. "A Structure Matching Method Based on Partial Functional Dependencies." Chinese Journal of Computers 33, no. 2 (April 27, 2010): 240–50. http://dx.doi.org/10.3724/sp.j.1016.2010.00240.

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13

Matthews, Gerald, Joel S. Warm, Lauren E. Reinerman-Jones, Lisa K. Langheim, Svyatoslav Guznov, Tyler H. Shaw, and Victor S. Finomore. "Functional Fidelity, Context-Matching, and Individual Differences in Performance." Proceedings of the Human Factors and Ergonomics Society Annual Meeting 54, no. 3 (September 2010): 220–24. http://dx.doi.org/10.1177/154193121005400308.

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14

Ribó, Ausias, and Montserrat Vilalta-Bufí. "Restrictions for different functional forms of the matching function." SERIEs 11, no. 1 (September 19, 2019): 105–13. http://dx.doi.org/10.1007/s13209-019-00205-0.

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Abstract We provide bounds on the parameters of matching functions such that the job-finding rate and the vacancy-filling rate are below 1. We do that in the context of the canonical search and matching model with a Pissarides-type free-entry condition. We find that the restrictions for a Cobb–Douglas matching function with increasing returns to scale are rather restrictive, involving an upper bound to future expected profits and the number of job searchers. In contrast, for functional forms with constant returns to scale (Cobb–Douglas, CES) the restrictions involve only parameters or an upper

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15

Nielsen, Henrik Bjørn, John Mundy, and Hanni Willenbrock. "Functional Associations by Response Overlap (FARO), a Functional Genomics Approach Matching Gene Expression Phenotypes." PLoS ONE 2, no. 8 (August 1, 2007): e676. http://dx.doi.org/10.1371/journal.pone.0000676.

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16

Hammond-Weinberger, Dena R., Yunxin Wang, Alex Glavis-Bloom, and Nicholas C. Spitzer. "Mechanism for neurotransmitter-receptor matching." Proceedings of the National Academy of Sciences 117, no. 8 (February 10, 2020): 4368–74. http://dx.doi.org/10.1073/pnas.1916600117.

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Synaptic communication requires the expression of functional postsynaptic receptors that match the presynaptically released neurotransmitter. The ability of neurons to switch the transmitter they release is increasingly well documented, and these switches require changes in the postsynaptic receptor population. Although the activity-dependent molecular mechanism of neurotransmitter switching is increasingly well understood, the basis of specification of postsynaptic neurotransmitter receptors matching the newly expressed transmitter is unknown. Using a functional assay, we show that sustained

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17

Kontak, Max, and Volker Michel. "The Regularized Weak Functional Matching Pursuit for linear inverse problems." Journal of Inverse and Ill-posed Problems 27, no. 3 (June 1, 2019): 317–40. http://dx.doi.org/10.1515/jiip-2018-0013.

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Abstract In this work, we present the so-called Regularized Weak Functional Matching Pursuit (RWFMP) algorithm, which is a weak greedy algorithm for linear ill-posed inverse problems. In comparison to the Regularized Functional Matching Pursuit (RFMP), on which it is based, the RWFMP possesses an improved theoretical analysis including the guaranteed existence of the iterates, the convergence of the algorithm for inverse problems in infinite-dimensional Hilbert spaces, and a convergence rate, which is also valid for the particular case of the RFMP. Another improvement is the cancellation of th

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18

Saito, Daisuke N., Tomohisa Okada, Yusuke Morita, Yoshiharu Yonekura, and Norihiro Sadato. "Tactile–visual cross-modal shape matching: a functional MRI study." Cognitive Brain Research 17, no. 1 (June 2003): 14–25. http://dx.doi.org/10.1016/s0926-6410(03)00076-4.

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19

Zhu, Guohun, Yan Li, and Peng (Paul) Wen. "Evaluating Functional Connectivity in Alcoholics Based on Maximal Weight Matching." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 9 (November 20, 2011): 1221–27. http://dx.doi.org/10.20965/jaciii.2011.p1221.

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EEG-based applications have faced the challenge of multi-modal integrated analysis problems. In this paper, a greedy maximal weight matching approach is used to measure the functional connectivity in alcoholics datasets with EEG and EOG signals. The major discovery is that the processing of the repeated and unrepeated stimuli in the γ band in control drinkers is significantly more different than that in alcoholic subjects. However, the EOGs are always stable in the case of visual tasks, except for a weakly wave when subjects make an error response to the stimuli.

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20

Wang, Jun, Qian Xie, Yabin Xu, Laishui Zhou, and Nan Ye. "Cluttered indoor scene modeling via functional part-guided graph matching." Computer Aided Geometric Design 43 (March 2016): 82–94. http://dx.doi.org/10.1016/j.cagd.2016.02.012.

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21

Beteleva, T. G. "Functional specialization of hemispheres in matching current and preceding stimuli." Human Physiology 26, no. 3 (May 2000): 265–74. http://dx.doi.org/10.1007/bf02760186.

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22

Iandolo, Riccardo, Giulia Bommarito, Laura Falcitano, Simona Schiavi, Niccolò Piaggio, Giovanni Luigi Mancardi, Maura Casadio, and Matilde Inglese. "Position Sense Deficits at the Lower Limbs in Early Multiple Sclerosis: Clinical and Neural Correlates." Neurorehabilitation and Neural Repair 34, no. 3 (February 7, 2020): 260–70. http://dx.doi.org/10.1177/1545968320902126.

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Background/Objective. Position sense, defined as the ability to identify joint and limb position in space, is crucial for balance and gait but has received limited attention in patients with multiple sclerosis (MS). We investigated lower limb position sense deficits, their neural correlates, and their effects on standing balance in patients with early MS. Methods. A total of 24 patients with early relapsing-remitting MS and 24 healthy controls performed ipsilateral and contralateral matching tasks with the right foot during functional magnetic resonance imaging. Corpus callosum (CC) integrity

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23

Burton, F. Warren, and Robert D. Cameron. "Pattern matching with abstract data types." Journal of Functional Programming 3, no. 2 (April 1993): 171–90. http://dx.doi.org/10.1017/s095679680000068x.

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AbstractPattern matching in modern functional programming languages is tied to the representation of data. Unfortunately, this is incompatible with the philosophy of abstract data types.Two proposals have been made to generalize pattern matching to a broader class of types. The laws mechanism of Miranda allows pattern matching with non-free algebraic data types. More recently, Wadler proposed the concept of views as a more general solution, making it possible to define arbitrary mappings between a physical implementation and a view supporting pattern matching. Originally, it was intended to in

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24

Hema, R., and T. V. Geetha. "Recognition of Chemical Entities using Pattern Matching and Functional Group Classification." International Journal of Intelligent Information Technologies 12, no. 4 (October 2016): 21–44. http://dx.doi.org/10.4018/ijiit.2016100102.

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The two main challenges in chemical entity recognition are: (i) New chemical compounds are constantly being synthesized infinitely. (ii) High ambiguity in chemical representation in which a chemical entity is being described by different nomenclatures. Therefore, the identification and maintenance of chemical terminologies is a tough task. Since most of the existing text mining methods followed the term-based approaches, the problems of polysemy and synonymy came into the picture. So, a Named Entity Recognition (NER) system based on pattern matching in chemical domain is developed to extract t

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25

Gilmour, Sarah J., Sarah G. Fowler, and Michael F. Thomashow. "Arabidopsis Transcriptional Activators CBF1, CBF2, and CBF3 have Matching Functional Activities." Plant Molecular Biology 54, no. 5 (March 2004): 767–81. http://dx.doi.org/10.1023/b:plan.0000040902.06881.d4.

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26

Paek, Hye-Jin, Hojoon Choi, and Michelle R. Nelson. "Product, Personality or Prose? Testing Functional Matching Effects in Advertising Persuasion." Journal of Current Issues & Research in Advertising 32, no. 2 (September 2010): 11–26. http://dx.doi.org/10.1080/10641734.2010.10505282.

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27

Elgedawy, Islam, Zahir Tari, and James A. Thom. "Correctness-aware high-level functional matching approaches for semantic Web services." ACM Transactions on the Web 2, no. 2 (April 2008): 1–40. http://dx.doi.org/10.1145/1346337.1346240.

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28

LIU, CHENG-LIANG. "Study of Functional Shape Matching and Synthesis in Machine Design Systems." Journal of Engineering Design 5, no. 3 (January 1994): 211–25. http://dx.doi.org/10.1080/09544829408907884.

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29

Ong, C. H. Luke, and Steven J. Ramsay. "Verifying higher-order functional programs with pattern-matching algebraic data types." ACM SIGPLAN Notices 46, no. 1 (January 26, 2011): 587–98. http://dx.doi.org/10.1145/1925844.1926453.

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30

Michel, Volker, and Roger Telschow. "The Regularized Orthogonal Functional Matching Pursuit for Ill-Posed Inverse Problems." SIAM Journal on Numerical Analysis 54, no. 1 (January 2016): 262–87. http://dx.doi.org/10.1137/141000695.

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31

Tkachenko, Pavlo, Christina Schmid, and Luigi del Re. "The Linear Functional Strategy for Maneuvers Identification Using Elastic Template Matching." IFAC-PapersOnLine 54, no. 7 (2021): 427–32. http://dx.doi.org/10.1016/j.ifacol.2021.08.397.

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32

Qureshy, Ahmad, Ryuta Kawashima, Muhammad Babar Imran, Motoaki Sugiura, Ryoi Goto, Ken Okada, Kentaro Inoue, et al. "Functional Mapping of Human Brain in Olfactory Processing: A PET Study." Journal of Neurophysiology 84, no. 3 (September 1, 2000): 1656–66. http://dx.doi.org/10.1152/jn.2000.84.3.1656.

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This study describes the functional anatomy of olfactory and visual naming and matching in humans, using positron emission tomography (PET). One baseline control task without olfactory or visual stimulation, one control task with simple olfactory and visual stimulation without cognition, one set of olfactory and visual naming tasks, and one set of olfactory and visual matching tasks were administered to eight normal volunteers. In the olfactory naming task (ON), odors from familiar items, associated with some verbal label, were to be named. Hence, it required long-term olfactory memory retriev

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33

Ni, Yin, Caiyun Song, Shuqing Jin, Zhoufeng Chen, Ming Ni, Lu Han, Jiansheng Wu, and Yin Jin. "Gene set enrichment analysis: A genome-wide expression profile-based strategy for discovering functional microRNA–disease relationships." Journal of International Medical Research 46, no. 2 (April 24, 2017): 596–611. http://dx.doi.org/10.1177/0300060517693719.

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Objective To explore stable and functional microRNA (miRNA)–disease relationships using a genome-wide expression profile pattern matching strategy. Methods We applied the ranked microarray pattern matching strategy Gene Set Enrichment Analysis to identify miRNA permutations with similar expression patterns to diseases. We also used quantitative reverse transcription PCR to validate the predicted expression levels of miRNAs in three diseases: inflammatory bowel disease (IBD), oesophageal cancer, and colorectal cancer. Results We found that hsa-miR-200 c was upregulated more than 40-fold in oeso

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34

King, Stephanie L., and Peter K. McGregor. "Vocal matching: the what, the why and the how." Biology Letters 12, no. 10 (October 2016): 20160666. http://dx.doi.org/10.1098/rsbl.2016.0666.

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Over the years, vocal matching has progressed beyond being an interesting behavioural phenomenon to one that now has relevance to a wide range of fields. In this review, we use birds and cetaceans to explain what vocal matching is, why animals vocally match and how vocal matching can be identified. We show that while the functional aspects of vocal matching are similar, the contexts in which matching is used can differ between taxa. Whereas vocal matching in songbirds facilitates mate attraction and the immediate defence of resources, in parrots and cetaceans it plays a role in the maintenance

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35

Plowright, C. M. S., and Y. G. Korneluk. "Mirror Image Pattern Matching By Bumble Bees." Behaviour 132, no. 1-2 (1995): 87–93. http://dx.doi.org/10.1163/156853995x00306.

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AbstractBumble bees (Bombus impatiens) were trained to discriminate between a rewarding and non-rewarding artificial flower that differed only in their configuration of four identical petals. On choice tests between 2 empty flowers, the bees chose the flower with the configuration of the rewarding flower over the mirror image, but the mirror image over a novel flower. This behaviour is the same as has been observed with honey bees and functional interpretations are considered. The problem of distinguishing between left-right pattern reversals and true mirror image transformations is discussed.

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36

Zhang, Yunfei, Jincai Huang, Min Deng, Chi Chen, Fangbin Zhou, Shuchun Xie, and Xiaoliang Fang. "Automated Matching of Multi-Scale Building Data Based on Relaxation Labelling and Pattern Combinations." ISPRS International Journal of Geo-Information 8, no. 1 (January 16, 2019): 38. http://dx.doi.org/10.3390/ijgi8010038.

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With the increasingly urgent demand for map conflation and timely data updating, data matching has become a crucial issue in big data and the GIS community. However, non-rigid deviation, shape homogenization, and uncertain scale differences occur in crowdsourced and official building data, causing challenges in conflating heterogeneous building datasets from different sources and scales. This paper thus proposes an automated building data matching method based on relaxation labelling and pattern combinations. The proposed method first detects all possible matching objects and pattern combinati

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37

Luo, Ru Bai, Shi Sheng Zhou, Nan Jiang, and Qiu Juan Yang. "Mathematical Model and Implementation of the Density-Based Gravure Spot-Color Matching." Advanced Materials Research 174 (December 2010): 56–59. http://dx.doi.org/10.4028/www.scientific.net/amr.174.56.

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In the paper, the spot-color was divided into ten color areas based on the theory of Munsell color system, then, the model samples in IGT was produced according to each color area. After measuring and analyzing the data of the proofs, Gravure spot-color matching based on masking equation by the means of ten color areas was established. Finally, the paper validated the precision of Gravure spot-color matching model by the method of color difference. The functional module of Gravure spot-color matching in the commercial spot-color matching system was developed using C++ programming language and

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38

Feng, Wei-Jiao, Chao Yin, Xiao-Bin Li, and Liang Li. "A classification matching method for manufacturing resource in cloud manufacturing environment." International Journal of Modeling, Simulation, and Scientific Computing 08, no. 02 (May 11, 2017): 1750057. http://dx.doi.org/10.1142/s179396231750057x.

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Cloud manufacturing (CMfg), combining the idea and technologies of cloud computing and Internet of Things, is an emerging service-oriented manufacturing model. The supply–demand matching of manufacturing resources is one of the key technologies for implemention. However, resources in CMfg system are geographically distributed, functional of similar and dynamically changeable, and these features make it difficult to obtain higher accuracy for existing matching methods. In order to select the most satisfied resources in CMfg, a semantics-based supply–demand classification matching method (SDCM)

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39

Osmanlıoğlu, Yusuf, Birkan Tunç, Drew Parker, Mark A. Elliott, Graham L. Baum, Rastko Ciric, Theodore D. Satterthwaite, Raquel E. Gur, Ruben C. Gur, and Ragini Verma. "System-level matching of structural and functional connectomes in the human brain." NeuroImage 199 (October 2019): 93–104. http://dx.doi.org/10.1016/j.neuroimage.2019.05.064.

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40

Diomede, Paola, Mauritius C. M. van de Sanden, and Savino Longo. "Vibrational Kinetics in Plasma as a Functional Problem: A Flux-Matching Approach." Journal of Physical Chemistry A 122, no. 39 (September 6, 2018): 7918–23. http://dx.doi.org/10.1021/acs.jpca.8b05623.

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41

Huang, Chengxi, Li Da Xu, Hongming Cai, Guoqiang Li, Jiawei Du, and Lihong Jiang. "A context-based service matching approach towards functional reliability for industrial systems." Enterprise Information Systems 13, no. 2 (August 13, 2018): 196–218. http://dx.doi.org/10.1080/17517575.2018.1509134.

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42

Price, Kathleen J. "Using functional assessment to improve information systems research, design and technology matching." ACM SIGACCESS Accessibility and Computing, no. 84 (January 2006): 38–41. http://dx.doi.org/10.1145/1127564.1127572.

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43

Matthews, Gerald, Joel S. Warm, Lauren E. Reinerman-Jones, Lisa K. Langheim, Svyatoslav Guznov, Tyler H. Shaw, and Victor S. Finomore. "The functional fidelity of individual differences research: the case for context-matching." Theoretical Issues in Ergonomics Science 12, no. 5 (September 2011): 435–50. http://dx.doi.org/10.1080/1463922x.2010.549247.

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Clary, E. Gil, Mark Snyder, Robert D. Ridge, Peter K. Miene, and Julie A. Haugen. "Matching Messages to Motives in Persuasion: A Functional Approach to Promoting Volunteerism1." Journal of Applied Social Psychology 24, no. 13 (July 1994): 1129–46. http://dx.doi.org/10.1111/j.1559-1816.1994.tb01548.x.

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45

Mills, Caitlyn L., Rohan Garg, Joslynn S. Lee, Liang Tian, Alexandru Suciu, Gene D. Cooperman, Penny J. Beuning, and Mary Jo Ondrechen. "Functional classification of protein structures by local structure matching in graph representation." Protein Science 27, no. 6 (April 27, 2018): 1125–35. http://dx.doi.org/10.1002/pro.3416.

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46

Michel, Volker, and Sarah Orzlowski. "On the convergence theorem for the regularized functional matching pursuit (RFMP) algorithm." GEM - International Journal on Geomathematics 8, no. 2 (May 17, 2017): 183–90. http://dx.doi.org/10.1007/s13137-017-0095-6.

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47

Boutet de Monvel, J. H., and O. C. Martin. "Almost Sure Convergence of the Minimum Bipartite Matching Functional in Euclidean Space." Combinatorica 22, no. 4 (October 1, 2002): 523–30. http://dx.doi.org/10.1007/s00493-002-0004-x.

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48

Mondal, Sayan, George Khelashvili, Lei Shi, and Harel Weinstein. "Functional Consequences of Incomplete Hydrophobic Matching at TM1 of the LeuT Transporter." Biophysical Journal 104, no. 2 (January 2013): 92a—93a. http://dx.doi.org/10.1016/j.bpj.2012.11.553.

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49

Henn, Stefan, and Kristian Witsch. "A Multigrid Approach for Minimizing a Nonlinear Functional for Digital Image Matching." Computing 64, no. 4 (June 5, 2000): 339–48. http://dx.doi.org/10.1007/s006070070029.

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Wan, Fei, Graham A. Colditz, and Siobhan Sutcliffe. "Matched Versus Unmatched Analysis of Matched Case-Control Studies." American Journal of Epidemiology 190, no. 9 (March 9, 2021): 1859–66. http://dx.doi.org/10.1093/aje/kwab056.

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Abstract Although the need for addressing matching in the analysis of matched case-control studies is well established, debate remains as to the most appropriate analytical method when matching on at least 1 continuous factor. We compared the bias and efficiency of unadjusted and adjusted conditional logistic regression (CLR) and unconditional logistic regression (ULR) in the setting of both exact and nonexact matching. To demonstrate that case-control matching distorts the association between the matching variables and the outcome in the matched sample relative to the target population, we de

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