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Journal articles on the topic 'Selective mapping'

Author: Grafiati

Published: 4 June 2021

Last updated: 27 July 2025

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1

Morton, D. L., L. J. Foshag, D. R. Wen, and A. J. Cochran. "Intraoperative lymphatic mapping and selective lymphadenectomy." Melanoma Research 3, no. 1 (1993): 9. http://dx.doi.org/10.1097/00008390-199303000-00022.

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2

Mhatre, Kavita, and Uday Pandit Khot. "Efficient Selective Mapping PAPR Reduction Technique." Procedia Computer Science 45 (2015): 620–27. http://dx.doi.org/10.1016/j.procs.2015.03.117.

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3

Reintgen, Douglas, Emmanuella Joseph, Gary H. Lyman, et al. "The Role of Selective Lymphadenectomy in Breast Cancer." Cancer Control 4, no. 3 (1997): 211–19. http://dx.doi.org/10.1177/107327489700400302.

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Background Axillary node dissection is considered a standard staging procedure in patients with breast cancer. The procedure is associated with significant morbidity and provides pathologists with many lymph nodes to evaluate. Methods A total of 174 women participated in a trial that included preoperative lymphoscintigraphy and intraoperative lymphatic mapping using a combination of a vital blue dye and radiocolloid mapping. Results The intraoperative lymphatic mapping correctly identified a sentinel lymph node (SLN) in 160 (92%) of 174 patients. One skip metastasis (0.7%) occurred in 136 wome

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4

Vellido, A., W. El-Deredy, and P. J. G. Lisboa. "Selective smoothing of the generative topographic mapping." IEEE Transactions on Neural Networks 14, no. 4 (2003): 847–52. http://dx.doi.org/10.1109/tnn.2003.813834.

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5

Lippitt, Christopher D., John Rogan, Zhe Li, J. Ronald Eastman, and Trevor G. Jones. "Mapping Selective Logging in Mixed Deciduous Forest." Photogrammetric Engineering & Remote Sensing 74, no. 10 (2008): 1201–11. http://dx.doi.org/10.14358/pers.74.10.1201.

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6

Madhusudhan, Akku, and Sudhir Kumar Sharma. "Selective Mapping Scheme for Universal Filtered Multicarrier." Intelligent Automation & Soft Computing 36, no. 2 (2023): 1273–82. http://dx.doi.org/10.32604/iasc.2023.030765.

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7

Rowan, Troy N., Robert Schnabel, and Jared E. Decker. "29 Mapping Recent and Ongoing Polygenic Selection in Beef Cattle Populations." Journal of Animal Science 100, Supplement_3 (2022): 16. http://dx.doi.org/10.1093/jas/skac247.029.

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Abstract Understanding the underlying effects of ongoing selection is of interest to livestock breeding programs. Commercial livestock genotyping has generated datasets well-suited to explore how strong artificial selection has impacted the genome over very short time periods. We have developed a method for mapping ongoing polygenic selection in populations with temporally stratified genomic data called Generation Proxy Selection Mapping (GPSM). GPSM utilizes a genome-wide linear mixed model to identify allelic associations with an animal's generation number or some proxy (i.e., birth date). W

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8

Karnakanti Nikhila, Gundapu Rachana, Motamarri Sai Bhavani, and Mohammad Awaiz. "PAPR Analysis of OFDM using Selective Mapping Method." Journal of Soft Computing Paradigm 4, no. 3 (2022): 188–99. http://dx.doi.org/10.36548/jscp.2022.3.007.

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A common standard modulation for several high data rate wireless communication systems is Orthogonal Frequency-Division Multiplexing (OFDM). It operates by splitting up large streams of data into several parallel streams with minimal data rates. Compared to single carrier modulation systems, OFDM offers various benefits. Some of these benefits are high transmission bit rates, great spectral efficiency, and sensitivity to frequency fading channels. However, there are drawbacks with OFDM. Among the major issues is the high Peak to Average Power Ratio (PAPR), due to which the system complexity in

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9

Oh, Hyunmyung, and Hyun Jong Yang. "PAPR Reduction Scheme Using Selective Mapping in GFDM." Journal of Korean Institute of Communications and Information Sciences 41, no. 6 (2016): 698–706. http://dx.doi.org/10.7840/kics.2016.41.6.698.

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10

Nettleton, D., and D. Wang. "Selective transcriptional profiling for trait-based eQTL mapping." Animal Genetics 37, s1 (2006): 13–17. http://dx.doi.org/10.1111/j.1365-2052.2006.01478.x.

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11

Ghassemi, A., and T. A. Gulliver. "Partial Selective Mapping OFDM with Low Complexity IFFTs." IEEE Communications Letters 12, no. 1 (2008): 4–6. http://dx.doi.org/10.1109/lcomm.2008.071397.

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12

Forzan, Cristiano, Davide Pandini, and Mariagrazia Graziano. "Power Supply Selective Mapping for Accurate Timing Analysis." Journal of Low Power Electronics 2, no. 1 (2006): 105–12. http://dx.doi.org/10.1166/jolpe.2006.012.

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13

Ackemann, T., N. Radwell, Y. Noblet, and R. Jäger. "Disorder mapping in VCSELs using frequency-selective feedback." Optics Letters 37, no. 6 (2012): 1079. http://dx.doi.org/10.1364/ol.37.001079.

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14

Hardik B. Tank. "Low PAPR Filtered OFDM using Modified Selective Mapping." Journal of Electrical Systems 20, no. 7s (2024): 1255–65. http://dx.doi.org/10.52783/jes.3686.

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Wireless Communication has been witnessing generational change in the span of eight to ten years since it came in existence. From generation 1G to 3G and from 4G to 5G the telecommunication world has seen significant improvements along with enhanced performance with every passing year. The objective of research is to comprehensive study of Filtered Orthogonal Frequency Division Multiplexing (F-OFDM) as a promising waveform option for fifth-generation (5G) communications, distinguished by its capacity to suppress out-of-band emission (OOBE) and accommodate asynchronous transmission. Though ther

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15

Sartori, Luca, Samuel Luciano Caliri, Valentina Baro, et al. "Selective Stimulus Intensity during Hotspot Search Ensures Faster and More Accurate Preoperative Motor Mapping with nTMS." Brain Sciences 13, no. 2 (2023): 285. http://dx.doi.org/10.3390/brainsci13020285.

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Introduction: Navigated transcranial magnetic stimulation (nTMS) has emerged as one of the most innovative techniques in neurosurgical practice. However, nTMS motor mapping involves rigorous steps, and the importance of an accurate execution method has not been emphasized enough. In particular, despite strict adherence to procedural protocols, we have observed high variability in map activation according to the choice of stimulation intensity (SI) right from the early stage of hotspot localization. We present a retrospective analysis of motor mappings performed between March 2020 and July 2022

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16

Ayoub, M., and D. E. Mather. "Effectiveness of selective genotyping for detection of quantitative trait loci: an analysis of grain and malt quality traits in three barley populations." Genome 45, no. 6 (2002): 1116–24. http://dx.doi.org/10.1139/g02-089.

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Marker genotype data and grain and malt quality phenotype data from three barley (Hordeum vulgare L.) mapping populations were used to investigate the feasibility of selective genotyping for detection of quantitative trait loci (QTLs). With selective genotyping, only individuals with high and low phenotypic values for the trait of interest are genotyped. Here, genotyping of 10 to 70% of each population (i.e., 5 to 35% in each tail of the phenotypic distribution) was considered. Genomic positions detected by selective genotyping were compared to QTL position estimates from interval mapping anal

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17

Vision, Todd J., Daniel G. Brown, David B. Shmoys, Richard T. Durrett, and Steven D. Tanksley. "Selective Mapping: A Strategy for Optimizing the Construction of High-Density Linkage Maps." Genetics 155, no. 1 (2000): 407–20. http://dx.doi.org/10.1093/genetics/155.1.407.

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Abstract Historically, linkage mapping populations have consisted of large, randomly selected samples of progeny from a given pedigree or cell lines from a panel of radiation hybrids. We demonstrate that, to construct a map with high genome-wide marker density, it is neither necessary nor desirable to genotype all markers in every individual of a large mapping population. Instead, a reduced sample of individuals bearing complementary recombinational or radiation-induced breakpoints may be selected for genotyping subsequent markers from a large, but sparsely genotyped, mapping population. Choos

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18

Bonnet, Baptiste, Hicham Kobeiter, Lorenzo Pescatori, et al. "Preoperative Spinal Arterial Supply Mapping Using Non-Selective Cone Beam Computed Tomography before Complex Aortic Repair." Journal of Clinical Medicine 13, no. 3 (2024): 796. http://dx.doi.org/10.3390/jcm13030796.

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Pre-op spinal arterial mapping is crucial for complex aortic repair. This study explores the utility of non-selective cone beam computed tomography (CBCT) for pre-operative spinal arterial mapping to identify the Adamkiewicz artery (AKA) in patients undergoing open or endovascular repair of the descending thoracic or thoracoabdominal aorta at risk of spinal cord ischemia. Pre-operative non-selective dual-phase CBCT after intra-aortic contrast injection was performed in the aortic segment to be treated. The origin of detected AKA was assessed based on image fusion between CBCT and pre-intervent

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19

Jin, Chunfang, Hong Lan, Alan D. Attie, Gary A. Churchill, Dursun Bulutuglo, and Brian S. Yandell. "Selective Phenotyping for Increased Efficiency in Genetic Mapping Studies." Genetics 168, no. 4 (2004): 2285–93. http://dx.doi.org/10.1534/genetics.104.027524.

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20

LEE, Jaekwon, Sanghwa LEE, and Dong Ku KIM. "Selective Mapping for Robust Data Transmission Using TxID Signal." IEICE Transactions on Communications E102.B, no. 4 (2019): 940–47. http://dx.doi.org/10.1587/transcom.2018ebp3173.

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21

Manichaikul, Ani, and Karl W. Broman. "Binary Trait Mapping in Experimental Crosses With Selective Genotyping." Genetics 182, no. 3 (2009): 863–74. http://dx.doi.org/10.1534/genetics.108.098913.

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22

Valluri, Siva Prasad, Vejandla Kishore, and Venkata Mani Vakamulla. "A New Selective Mapping Scheme for Visible Light Systems." IEEE Access 8 (2020): 18087–96. http://dx.doi.org/10.1109/access.2020.2968344.

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23

Dekkers, J. C. M. "Quantitative trait locus mapping based on selective DNA pooling." Journal of Animal Breeding and Genetics 117, no. 1 (2000): 1–16. http://dx.doi.org/10.1046/j.1439-0388.2000.00233.x.

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24

Pollinger, J. P. "Selective sweep mapping of genes with large phenotypic effects." Genome Research 15, no. 12 (2005): 1809–19. http://dx.doi.org/10.1101/gr.4374505.

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25

Wei, Shanlin, Hui Li, Wei Cheng, Wenjie Zhang, Gang Han, and Weiguang Wang. "Universal Filtered Multi-Carrier System Based on Selective Mapping." Xibei Gongye Daxue Xuebao/Journal of Northwestern Polytechnical University 37, no. 6 (2019): 1257–63. http://dx.doi.org/10.1051/jnwpu/20193761257.

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Internet of things (IoT) and machine-to-machine (M2M) communication are characterized by short periods and bursts. Traditional orthogonal frequency division multiplexing (OFDM) has not meet the demand for such traffic, while IoT and M2M communication will play an important role in the next fifth generation (5G) communication, so it is particularly urgent to study the small packet and low-latency wireless transmission technologies that satisfy IoT and M2M communication. Universal filter multi-carrier (UFMC) is a new kind of filtered wireless transmission mechanism that meets this requirement, b

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26

Emara, Moustafa, and Bo-Cheng Lai. "Selective bypassing and mapping for heterogeneous applications on GPGPUs." Journal of Parallel and Distributed Computing 142 (August 2020): 106–18. http://dx.doi.org/10.1016/j.jpdc.2020.04.003.

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27

Cay, Serkan, Firat Ozcan, Ozcan Ozeke, Dursun Aras, and Serkan Topaloglu. "3-Dimensional Electroanatomic Mapping Guided Selective His Bundle Pacing." JACC: Clinical Electrophysiology 4, no. 3 (2018): 415–17. http://dx.doi.org/10.1016/j.jacep.2017.11.015.

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28

Darvasi, A. "The effect of selective genotyping on QTL mapping accuracy." Mammalian Genome 8, no. 1 (1997): 67–68. http://dx.doi.org/10.1007/s003359900353.

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29

Barton, J. K., P. W. Huber, H. Y. Mei, and T. Morii. "Shape selective mapping of the Xenopus 5S rRNA gene." Journal of Inorganic Biochemistry 36, no. 3-4 (1989): 289. http://dx.doi.org/10.1016/0162-0134(89)84418-6.

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30

Carmichael, Stephen W. "Mapping the Heart." Microscopy Today 18, no. 4 (2010): 6–8. http://dx.doi.org/10.1017/s155192951000043x.

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Some of the receptors on the surface of cardiac muscle cells (cardiomyocytes) mediate the response of these cells to catecholamines by causing the production of the common second messenger cyclic adenosine monophosphate (cAMP). An example of such receptors are the β1- and β2-adrenergic receptors (βARs) that are heterotrimeric guanine nucleotide-binding protein (G protein)-coupled receptors. Selective stimulation of these two receptor subtypes leads to distinct physiological and pathophysiological responses, but their precise location on the surface of cardiomyocytes has not been correlated wit

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31

RABBEE, NUSRAT, DAVID SPECA, NICOLA J. ARMSTRONG, and TERENCE P. SPEED. "Power calculations for selective genotyping in QTL mapping in backcross mice." Genetical Research 84, no. 2 (2004): 103–8. http://dx.doi.org/10.1017/s0016672304007086.

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Selective genotyping concerns the genotyping of a portion of individuals chosen on the basis of their phenotypic values. Often individuals are selected for genotyping from the high and low extremes of the phenotypic distribution. This procedure yields savings in cost and time by decreasing the total number of individuals genotyped. Previous work by Darvasi et al. (1993) has shown that the power to detect a QTL by genotyping 40–50% of a population is roughly equivalent to genotyping the entire sample. However, these power studies have not accounted for different strategies of analysing the data

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32

Kuroda, Kagayaki, Koichi Oshio, Andrew H. Chung, Kullervo Hynynen, and Ferenc A. Jolesz. "Temperature Mapping using the water proton chemical shift: A chemical shift selective phase mapping method." Magnetic Resonance in Medicine 38, no. 5 (1997): 845–51. http://dx.doi.org/10.1002/mrm.1910380523.

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33

Vetter, Christopher, Judy C. Boughey, and Jeffrey E. Johnson. "Abstract P3-09-03: Cost effectiveness analysis of approaches to axillary management in the setting of contralateral prophylactic mastectomy." Clinical Cancer Research 31, no. 12_Supplement (2025): P3–09–03—P3–09–03. https://doi.org/10.1158/1557-3265.sabcs24-p3-09-03.

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Abstract Background: Occult malignancy (OM) found in contralateral prophylactic mastectomy (CPM) specimens presents challenges for axillary staging as post-mastectomy sentinel lymph node (SLN) surgery is not validated. No consensus exists on the optimal strategy for evaluating the axilla in this setting. Approaches include preoperative breast magnetic resonance imaging (MRI), selective SLN surgery determined by risk of OM, routinely performed SLN surgery, routinely omitted SLN surgery and selective SLN mapping for delayed SLN surgery using superparamagnetic iron oxide. Herein we evaluate the c

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34

Sayres, Rory, and Kalanit Grill-Spector. "Relating Retinotopic and Object-Selective Responses in Human Lateral Occipital Cortex." Journal of Neurophysiology 100, no. 1 (2008): 249–67. http://dx.doi.org/10.1152/jn.01383.2007.

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What is the relationship between retinotopy and object selectivity in human lateral occipital (LO) cortex? We used functional magnetic resonance imaging (fMRI) to examine sensitivity to retinal position and category in LO, an object-selective region positioned posterior to MT along the lateral cortical surface. Six subjects participated in phase-encoded retinotopic mapping experiments as well as block-design experiments in which objects from six different categories were presented at six distinct positions in the visual field. We found substantial position modulation in LO using standard nonob

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35

Howad, Werner, Toshiya Yamamoto, Elisabeth Dirlewanger, et al. "Mapping With a Few Plants: Using Selective Mapping for Microsatellite Saturation of the Prunus Reference Map." Genetics 171, no. 3 (2005): 1305–9. http://dx.doi.org/10.1534/genetics.105.043661.

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36

Dolezal, M., H. Schwarzenbacher, M. Soller, J. Sölkner, and P. M. Visscher. "Multiple-Marker Mapping for Selective DNA Pooling Within Large Families." Journal of Dairy Science 91, no. 7 (2008): 2864–73. http://dx.doi.org/10.3168/jds.2007-0397.

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37

Manichaikul, Ani, Abraham A. Palmer, Śaunak Sen, and Karl W. Broman. "Significance Thresholds for Quantitative Trait Locus Mapping Under Selective Genotyping." Genetics 177, no. 3 (2007): 1963–66. http://dx.doi.org/10.1534/genetics.107.080093.

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38

Lloyd-Fox, Sarah, Anna Blasi, Nick Everdell, Clare E. Elwell, and Mark H. Johnson. "Selective Cortical Mapping of Biological Motion Processing in Young Infants." Journal of Cognitive Neuroscience 23, no. 9 (2011): 2521–32. http://dx.doi.org/10.1162/jocn.2010.21598.

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How specialized is the infant brain for perceiving the facial and manual movements displayed by others? Although there is evidence for a network of regions that process biological motion in adults—including individuated responses to the perception of differing facial and manual movements—how this cortical specialization develops remains unknown. We used functional near-infrared spectroscopy [Lloyd-Fox, S., Blasi, A., & Elwell, C. Illuminating the developing brain: The past, present and future of functional near-infrared spectroscopy. Neuroscience and Biobehavioral Reviews, 34, 269–284, 201

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39

Huang, B. E., and D. Y. Lin. "Efficient Association Mapping of Quantitative Trait Loci with Selective Genotyping." American Journal of Human Genetics 80, no. 3 (2007): 567–76. http://dx.doi.org/10.1086/512727.

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40

Ghassemi, A., and T. Aaron Gulliver. "A low complexity selective mapping OFDM using multiple IFFT stages." International Journal of Communication Networks and Distributed Systems 1, no. 2 (2008): 129. http://dx.doi.org/10.1504/ijcnds.2008.020257.

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41

Lu, Hai, X. A. Cao, S. F. LeBoeuf, H. C. Hong, E. B. Kaminsky, and S. D. Arthur. "Cathodoluminescence mapping and selective etching of defects in bulk GaN." Journal of Crystal Growth 291, no. 1 (2006): 82–85. http://dx.doi.org/10.1016/j.jcrysgro.2006.02.026.

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42

Abdel Kawy, W. A., and Abdel-Aziz Belal. "Soil resilience mapping in selective wetlands, West Suez Canal, Egypt." Egyptian Journal of Remote Sensing and Space Science 14, no. 2 (2011): 99–112. http://dx.doi.org/10.1016/j.ejrs.2011.11.001.

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43

Paudel, Jamuna Risal, Kyle M. Gardner, Benoit Bizimungu, David De Koeyer, Jun Song, and Helen H. Tai. "Genetic Mapping of Steroidal Glycoalkaloids Using Selective Genotyping in Potato." American Journal of Potato Research 96, no. 5 (2019): 505–16. http://dx.doi.org/10.1007/s12230-019-09734-7.

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44

Chen, Zehua, Gang Zheng, Kaushik Ghosh, and Zhaohai Li. "Linkage Disequilibrium Mapping of Quantitative-Trait Loci by Selective Genotyping." American Journal of Human Genetics 77, no. 4 (2005): 661–69. http://dx.doi.org/10.1086/491658.

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45

Renault, B., N. Tzourio, F. El Massioui, and B. Mazoyer. "Combined PET and brain potentials from mapping selective attention generators." Electroencephalography and Clinical Neurophysiology 87, no. 2 (1993): S10. http://dx.doi.org/10.1016/0013-4694(93)90896-4.

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46

Miklas, Phillip N., Elizabeth Johnson, Valerie Stone, James S. Beaver, Carlos Montoya, and Mildred Zapata. "Selective Mapping of QTL Conditioning Disease Resistance in Common Bean." Crop Science 36, no. 5 (1996): 1344–51. http://dx.doi.org/10.2135/cropsci1996.0011183x003600050044x.

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47

Senthilkumar, K., F. C. Grozema, C. Fonseca Guerra, F. M. Bickelhaupt, and L. D. A. Siebbeles. "Mapping the Sites for Selective Oxidation of Guanines in DNA." Journal of the American Chemical Society 125, no. 45 (2003): 13658–59. http://dx.doi.org/10.1021/ja037027d.

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48

García-Larrea, Luis, Hélène Bastuji, and François Mauguière. "Mapping study of somatosensory evoked potentials during selective spatial attention." Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section 80, no. 3 (1991): 201–14. http://dx.doi.org/10.1016/0168-5597(91)90122-e.

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49

Guo, Jia, and Eric C. Wong. "Venous oxygenation mapping using velocity-selective excitation and arterial nulling." Magnetic Resonance in Medicine 68, no. 5 (2012): 1458–71. http://dx.doi.org/10.1002/mrm.24145.

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50

Camp, Nicola J., and Aruna Bansal. "The effect of selective sampling on mapping quantitative trait loci." Genetic Epidemiology 14, no. 6 (1997): 767–72. http://dx.doi.org/10.1002/(sici)1098-2272(1997)14:6<767::aid-gepi34>3.0.co;2-m.

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