Literatura académica sobre el tema "THRESHOLD SENSITIVE"
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Artículos de revistas sobre el tema "THRESHOLD SENSITIVE"
Sala, Gianluca, Camilla Lanfranconi, Paolo Frattini, Giulia Rusconi y Giovanni B. Crosta. "Cost-sensitive rainfall thresholds for shallow landslides". Landslides 18, n.º 9 (17 de junio de 2021): 2979–92. http://dx.doi.org/10.1007/s10346-021-01707-4.
Texto completoRoy, Nihar Ranjan y Pravin Chandra. "Threshold sensitive clustering in SEP". Sustainable Computing: Informatics and Systems 25 (marzo de 2020): 100367. http://dx.doi.org/10.1016/j.suscom.2019.100367.
Texto completoMu, Yi y C. M. Savage. "Phase-sensitive above-threshold laser amplifiers". Physical Review A 49, n.º 5 (1 de mayo de 1994): 4093–100. http://dx.doi.org/10.1103/physreva.49.4093.
Texto completoFerreira, Guilherme A., Romulo Bertuzzi, Adriano E. Lima-Silva, Carlos Malfatti, Fernando R. De-Oliveira y Raul Osiecki. "Identification of training status differences using perceived exertion threshold". Applied Physiology, Nutrition, and Metabolism 41, n.º 4 (abril de 2016): 456–59. http://dx.doi.org/10.1139/apnm-2015-0478.
Texto completoPflug, Justin M., Yiwen Fang, Steven A. Margulis y Ben Livneh. "Interactions between thresholds and spatial discretizations of snow: insights from estimates of wolverine denning habitat in the Colorado Rocky Mountains". Hydrology and Earth System Sciences 27, n.º 14 (24 de julio de 2023): 2747–62. http://dx.doi.org/10.5194/hess-27-2747-2023.
Texto completoKalogianni, E. "Physiological properties of wind-sensitive and tactile trichoid sensilla on the ovipositor and their role during oviposition in the locust". Journal of Experimental Biology 198, n.º 6 (1 de junio de 1995): 1359–69. http://dx.doi.org/10.1242/jeb.198.6.1359.
Texto completoZhang, Yuan, Xiao-Ning Wang, Hai-Yu Ding, Yang Dai, Sen Ding y Xin Gao. "Threshold Responses in the Taxonomic and Functional Structure of Fish Assemblages to Land Use and Water Quality: A Case Study from the Taizi River". Water 11, n.º 4 (30 de marzo de 2019): 661. http://dx.doi.org/10.3390/w11040661.
Texto completoMair, I. W. S. y E. Laukli. "Air Conduction Thresholds after Myringoplasty and Stapes Surgery: A Conventional and High Frequency Audiometric Comparison". Annals of Otology, Rhinology & Laryngology 95, n.º 4 (julio de 1986): 327–30. http://dx.doi.org/10.1177/000348948609500402.
Texto completoLOOP, MICHAEL S. y DAVID K. CROSSMAN. "High color-vision sensitivity in macaque and humans". Visual Neuroscience 17, n.º 1 (enero de 2000): 119–25. http://dx.doi.org/10.1017/s0952523800171123.
Texto completoPolena, Helena, Marlène Chavagnac-Bonneville, Laurent Misery y Michèle Sayag. "Burden of Sensitive Skin (BoSS) Questionnaire and Current Perception Threshold: Use as Diagnostic Tools for Sensitive Skin Syndrome". Acta Dermato-Venereologica 101, n.º 11 (30 de noviembre de 2021): adv00606. http://dx.doi.org/10.2340/actadv.v101.365.
Texto completoTesis sobre el tema "THRESHOLD SENSITIVE"
Klassen, Mark E. y University of Lethbridge Faculty of Arts and Science. "Risk-sensitive foraging in rufous hummingbirds (Selasphorus Rufus) : a test of the twin-threshold model". Thesis, Lethbridge, Alta. : University of Lethbridge, Faculty of Arts and Science, 2005, 2005. http://hdl.handle.net/10133/264.
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Lim, Lee Booi. "Network delay control through adaptive queue management". Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/8887.
Texto completoMELO, Carlos Eduardo Castor de. "Similaridade de algoritmos em cenários sensíveis a custo". Universidade Federal de Pernambuco, 2015. https://repositorio.ufpe.br/handle/123456789/17808.
Texto completoMade available in DSpace on 2016-09-06T17:26:12Z (GMT). No. of bitstreams: 2 license_rdf: 1232 bytes, checksum: 66e71c371cc565284e70f40736c94386 (MD5) Dissertação Mestrado- Carlos Eduardo Castor de Melo.pdf: 2325318 bytes, checksum: 1a456db1f76d03f35cc83b12a6026b6b (MD5) Previous issue date: 2015-08-27
FACEPE
análise da similaridade entre algoritmos de aprendizagem de máquina é um importante aspecto na área de Meta-Aprendizado, onde informações obtidas a partir de processos de aprendizagem conhecidos podem ser utilizadas para guiar a seleção de algoritmos para tratar novos problemas apresentados. Essa similaridade é geralmente calculada através de métricas globais de desempenho, que omitem informações importantes para o melhor entendimento do comportamento dos algoritmos. Também existem abordagens onde é verificado o desempenho individualmente em cada instância do problema. Ambas as abordagens não consideram os custos associados a cada classe do problema, negligenciando informações que podem ser muito importantes em vários contextos de aprendizado. Nesse trabalho são apresentadas métricas para a avaliação do desempenho de algoritmos em cenários sensíveis a custo. Cada cenário é descrito a partir de um método para escolha de limiar para a construção de um classificador a partir de um modelo aprendido. Baseado nos valores de desempenho em cada instância, é proposta uma forma de avaliar a similaridade entre os algoritmos tanto em nível de problema como em nível global. Os experimentos realizados para ilustrar as métricas apresentadas neste trabalho foram realizados em um estudo de Meta-Aprendizado utilizando 19 algoritmos para a classificação das instâncias de 152 problemas. As medidas de similaridades foram utilizadas para a criação de agrupamentos hierárquicos. Os agrupamentos criados mostram como o comportamento entre os algoritmos diversifica de acordo com o cenário de custo a ser tratado.
The analysis of the similarity between machine learning algorithms is an important aspect of Meta-Learning, where knowledge gathered from known learning processes can be used to guide the selection of algorithms to tackle new learning problems presented. This similarity is usually calculated through global performance metrics that omit important information about the algorithm behavior. There are also approaches where the performance is verified individually on each instance of a problem. Both these approaches do not consider the costs associated with each problem class, hence they neglect information that can be very important in different learning contexts. In this study, metrics are presented to evaluate the performance of algorithms in cost sensitive scenarios. Each scenario is described by a threshold choice method, used to build a crisp classifier from a learned model. Based on the performance values for each problem instance, it is proposed a method to measure the similarity between the algorithms in a local level (for each problem) and in a global level (across all problems observed). The experiments used to illustrate the metrics presented in this paper were performed in a Meta-Learning study using 19 algorithms for the classification of the instances of 152 learning problems. The similarity measures were used to create hierarchical clusters. The clusters created show how the behavior of the algorithms diversifies according to the cost scenario to be treated.
Lopes, Karina Narciso. "Avaliação dos limiares sensitivo e doloroso em mulheres com dismenorreia primária moderada ou grave". Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/17/17145/tde-26082016-112528/.
Texto completoPrimary dysmenorrhea or painful menstruation in the absence of pelvic pathology is a common condition and often debilitating considered one of the most frequent complaints in day-to-day gynecologic practice, affecting between 45 and 95% of menstruating women. There is no consensus in the literature on the experimental thresholds of these women In chronic pelvic pain, decreased sensory and pain thresholds are associated with the frames of central sensitization and hyperalgesia, requiring treatment focused on this syndromic. If the painful threshold of women with dysmenorrhea follow a pattern consistent as found in women with chronic pelvic pain, we can improve the treatment of these patients also addressing the neuroplastic and mood changes. Specific Objective: Evaluate voluntary experimental thresholds with moderate or severe primary dysmenorrhea. Methods and Procedures: In the interview, participants were subjected to psychometric assessment to the VAS scales (visual analog pain scale), McGill Questionnaire (analyzes various dimensions of pain), Anxiety Scale and Depression for General Hospital (HAD), socio-demographic, antropometric assessment and also a questionnaire related to the menstrual cycle in general, adressing issues related to family history, absenteeism at work or school, use and drug efficiency, practice and frequency of physical activity, among others. Then the sensitive and painful thresholds were analyzed through transcutaneous electrical nerve stimulation TENS device and the pain threshold through transcutaneous pressure algometer. Results: The study included 48 volunteers divided into two groups: Study Group, composed of 24 women (with moderate or severe primary dysmenorrhea), the control group composed of 24 women (no or mild dysmenorrhea primary dysmenorrhea). The median pain threshold obtained by transcutaneous nerve stimulation was 10,11mA corresponding to the study group and the control group 11,92mA and algometry of 1,86kg / cm² and 2,28kg / cm² respectively. Among women with moderate or severe primary dysmenorrhea 70 % reported that the mother or sister have suffered or are suffering from menstrual cramps, 70 % do not practice any physical activity, 58.3 % have some degree of anxiety by the HAD and 12.5 % of depression by the HAD, 87.5 % make use of medication for pain during the menstrual period and 33.3 % missed their activities in the last three months because of dysmenorrheal.
Ishak, Wan Syafira. "Sensitised audiological measures of auditory dysfunction in tinnitus patients with normal hearing thresholds". Thesis, University of Bristol, 2011. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.556726.
Texto completoAlazemi, Abdulrahman. "Investigation of Factors in Triplet-Triplet Annihilation Upconversion". University of Cincinnati / OhioLINK, 2017. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1521189118425574.
Texto completoSiviero, Mariana. "Avaliação sensitiva orofacial, gustativa, olfativa e salivar em doentes com neuralgias trigeminais". Universidade de São Paulo, 2011. http://www.teses.usp.br/teses/disponiveis/5/5138/tde-19122011-120643/.
Texto completoTrigeminal postherpetic neuralgia (PHN), idiopathic trigeminal neuralgia (ITN) and burning mouth syndrome (BMS) are painful neuropathies with no clear signs about their causes. The objectives of this study were to determine somatosensory, olfactory, gustative and salivary characteristics of patients with PHN, ITN and BMS compared to controls. Twenty patients from each group, diagnosed according to the criteria from the International Association for the Study of Pain (IASP), and 60 healthy controls were evaluated with a systematized quantitative approach which included thermal (cold and warm), mechanical (tactile), pain, gustative (sweet, sour, salty and bitter) and olfactory thresholds, and quantitative salivary flow evaluation. Data were analyzed with ANOVA 1 factor, Tukey, Kruskal-Wallis and Dunn tests with a level of significance of 5%. Thermal thresholds for cold were different (higher) only in the mandibular branch of patients with PHN (p=0.001) and warm thresholds were higher in all trigeminal branches of PHN and BMS (p=0,001); tactile mechanical sensitivity was altered at the mandibular branch of PHN (p=0,001) and in all trigeminal branches of BMS (p= 0,001; p=0,004 e p=0,001). The salty, sweet and olfactory thresholds were higher in all studied groups (p=0,004; p=0,001 e p=0,0389); the sour threshold was lower and there were no differences in bitter taste or salivary flow (p=0,1694 e p=0,001). This study showed evidences of somatosensory, gustative and olfactory abnormalities in patients with neuropathic orofacial pain. Somatosensory findings were discrete in ITN and more common in PHN and BMS. Peripheral and central mechanisms of perception and modulation could be involved in the physiopathology of these findings
Carvalho, Viviane Fernandes de. "Avaliação da sensibilidade cutânea em pés de pacientes diabéticos através do Pressure Specified Sensory Device TM". Universidade de São Paulo, 2008. http://www.teses.usp.br/teses/disponiveis/5/5158/tde-29052008-112413/.
Texto completoNeuropathy is a severe progressive loss of protective sensation on the feet, making the patient more vulnerable to mechanical trauma and consequently more suitable to the development of chronic wounds, major distortion of the foot bone architecture and eventually to limb amputation. Prophylaxis should be enforced to avoid foot ulceration and for that, evaluation of the degree of loss of sensation on the skin is essential. The PSSD (Pressure Specified Sensory Device(TM)) was developed in order to quantify the threshold of pressure applied to the skin that could be recognized as positive by the patient. Pressure of one or two points is tested both statically and with movement, thus assessing the function of fast and slow response nerve fibers. Threshold of two-point discrimination was also measured in mm. Thirty four (n = 34) diabetic patients, type II, with no previous history of wounds on the lower extremity were studied using the tests, one point static (1PE), one point moving (1PD) and two points static (2 PE), and moving (2 PD) on the cutaneous territory of the fibular nerve and posterior tibial nerve (two territories - medial plantar and calcaneous nerves). The control group (28 non diabetic patients) was assessed by the same exams and the results were compared. In the diabetic group the cutaneous territories were also evaluated using the conventional Semmes-Weinstein filament nº 5,07 e vibrometer of the 128 Hz. Altered values were observed for the static and dynamic tests over the three studied nerve territories. The differences were statically significant (p < 0,05). Comparing the threshold of sensibility between sensitive and non sensitive diabetic patients to MSW nº 5,07 test, we observed that p-value range was 0,018 0,113 when 1PE test was applied, and 0,002 0,083 when 2PE test was applied, according to the cutaneous territories evaluated. Numeric quantification of the threshold of pressure allows us to determine the status of the fiber/receptor structures as well as the functional deficit of nerve fibers. Our findings suggest that PSSD(TM) is an adjuvant tool to evaluate the degree of loss of sensation on the skin.
KAUSHIK, AMIT KUMAR. "THRESHOLD SENSITIVE ADVANCED DEEC ROUTING PROTOCOL FOR WIRELESS SENSOR NETWORKS (WSNS)". Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15595.
Texto completoTigga, Anjali Priyanka. "Genetic Algorithm Based Threshold Sensitive Routing Protocol for Wireless Sensor Network". Thesis, 2015. http://ethesis.nitrkl.ac.in/7788/1/2015_Genetic_Tigga.pdf.
Texto completoLibros sobre el tema "THRESHOLD SENSITIVE"
Whalen, Timothy. Probabilistic estimates of design load factors for wind-sensitive structures using the "peaks over threshold" approach. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1996.
Buscar texto completoNational Institute of Standards and Technology (U.S.), ed. Probabilistic estimates of design load factors for wind-sensitive structures using the "peaks over threshold" approach. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1996.
Buscar texto completoWhalen, Timothy. Probabilistic estimates of design load factors for wind-sensitive structures using the "peaks over threshold" approach. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1996.
Buscar texto completoHanna, Jason. Paternalism and Moderate Deontology. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190877132.003.0005.
Texto completoBrown, Jessica. Fallibilism: Evidence and Knowledge. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198801771.001.0001.
Texto completoHood, Christopher y Rozana Himaz. UK Fiscal Squeezes over a Century. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198779612.003.0002.
Texto completoWainger, Brian J. Drug Discovery and Neuropathic Pain. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199937837.003.0117.
Texto completoCapítulos de libros sobre el tema "THRESHOLD SENSITIVE"
Barut, Silvere. "Sensitive Coating Solutions to Lower BVID Threshold on Composite Structure". En Smart Intelligent Aircraft Structures (SARISTU), 745–51. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-22413-8_37.
Texto completoDill, Kilian. "Sensitive Analyte Detection and Quantitation Using the Threshold Immunoassay System". En ACS Symposium Series, 89–102. Washington, DC: American Chemical Society, 1996. http://dx.doi.org/10.1021/bk-1996-0646.ch009.
Texto completoKrawczyk, Bartosz y Michał Woźniak. "Cost-Sensitive Neural Network with ROC-Based Moving Threshold for Imbalanced Classification". En Intelligent Data Engineering and Automated Learning – IDEAL 2015, 45–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-24834-9_6.
Texto completoShreekant, K., Parth Sharma, Sindhu Hak y Shuchismita Pani. "Threshold Sensitive Modified Leach Protocol for Energy Saving in Wireless Sensor Network". En Advances in Intelligent Systems and Computing, 1207–13. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-5903-2_126.
Texto completoRani, Richa, Deepti Kakkar, Parveen Kakkar y Ashish Raman. "Distance Based Enhanced Threshold Sensitive Stable Election Routing Protocol for Heterogeneous Wireless Sensor Network". En Computational Intelligence in Sensor Networks, 101–22. Berlin, Heidelberg: Springer Berlin Heidelberg, 2018. http://dx.doi.org/10.1007/978-3-662-57277-1_5.
Texto completoMa, Jinyu, Shubin Wang y Yanhong Ge. "Ant-Colony Based Double Cluster Heads Adaptive Periodic Threshold-Sensitive Energy Efficient Network Protocol in WSN". En Lecture Notes in Electrical Engineering, 309–17. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3229-5_34.
Texto completoLobo, Armindo, Pedro Oliveira, Paulo Sampaio y Paulo Novais. "Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets". En Distributed Computing and Artificial Intelligence, 19th International Conference, 280–90. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-20859-1_28.
Texto completoMauermann, M., S. J. Heise, J. L. Verhey y B. Kollmeier. "Is fine structure in hearing threshold an indicator of a highly sensitive cochlea? Investigations on amplitude modulation detection". En IFMBE Proceedings, 25–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03891-4_7.
Texto completoJanani, B. y M. Lakshmi Priya. "Time-Sensitive Probabilities of an $${\varvec{M}}/{\varvec{M}}/1$$ Queueing Model with Semi-Vacation and Threshold Policy". En Advances in Intelligent Systems and Computing, 615–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4389-4_56.
Texto completoIannaccone, A., E. M. Vingolo, R. Forte, P. Tanzilli, B. Grammatico, C. De Bernardo, E. Rispoli, G. Del Porto y M. R. Pannarale. "Scotopic Threshold Responses and Rod Intensity-Response Functions as Sensitive Indicators of the Carrier Status In X-Linked Recessive Retinitis Pigmentosa". En Degenerative Diseases of the Retina, 371–76. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1897-6_41.
Texto completoActas de conferencias sobre el tema "THRESHOLD SENSITIVE"
Mori, Allan, Gustavo Vale, Elder Cirilo y Eduardo Figueiredo. "A Domain-Sensitive Threshold Derivation Method". En SBSI'19: XV Brazilian Symposium on Information Systems. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3330204.3330252.
Texto completoKashaf, A., N. Javaid, Z. A. Khan y I. A. Khan. "TSEP: Threshold-Sensitive Stable Election Protocol for WSNs". En 2012 10th International Conference on Frontiers of Information Technology (FIT 2012). IEEE, 2012. http://dx.doi.org/10.1109/fit.2012.37.
Texto completoAlharthi, Saad A. y Princy A. Johnson. "Threshold sensitive heterogeneous LEACH protocol for wireless sensor networks". En 2016 24th Telecommunications Forum (TELFOR). IEEE, 2016. http://dx.doi.org/10.1109/telfor.2016.7818743.
Texto completoChodorek, Agnieszka y Robert Ryszard Chodorek. "TFD-assisted Threshold–sensitive Stable Election Protocol for WSNs". En 2022 27th Asia Pacific Conference on Communications (APCC). IEEE, 2022. http://dx.doi.org/10.1109/apcc55198.2022.9943774.
Texto completoMaurya, Sonam y Vinod Kumar Jain. "Threshold Sensitive Region-Based Hybrid Routing protocol for precision agriculture". En 2016 IEEE Wireless Communications and Networking Conference Workshops (WCNCW). IEEE, 2016. http://dx.doi.org/10.1109/wcncw.2016.7552694.
Texto completoMaurya, Sonam y Vinod Kumar Jain. "Threshold sensitive region-based hybrid routing protocol for precision agriculture". En 2016 IEEE Wireless Communications and Networking Conference (WCNC). IEEE, 2016. http://dx.doi.org/10.1109/wcnc.2016.7564665.
Texto completoRizwan, Muhammad, Muhammad S. Nisar y Hongbo Jiang. "TMEEP: Threshold-sensitive based Multihop Energy Efficient Protocol for HWSN". En 2016 6th International Conference on Machinery, Materials, Environment, Biotechnology and Computer. Paris, France: Atlantis Press, 2016. http://dx.doi.org/10.2991/mmebc-16.2016.318.
Texto completoRaza, W., I. Khan, F. Arshad, I. Naqvi, U. Qasim, Z. A. Khan y N. Javai. "THEEM: Threshold-Sensitive Energy Efficient Multi-hop Routing Protocol for WSNs". En 2014 Ninth International Conference on Broadband and Wireless Computing, Communication and Applications (BWCCA). IEEE, 2014. http://dx.doi.org/10.1109/bwcca.2014.40.
Texto completoRoseline, R. A. y P. Sumathi. "Local clustering and threshold sensitive routing algorithm for Wireless Sensor Networks". En 2012 International Conference on Devices, Circuits and Systems (ICDCS 2012). IEEE, 2012. http://dx.doi.org/10.1109/icdcsyst.2012.6188748.
Texto completoHou, Ya-Rong y Yong Wang. "A dynamic threshold-based packet scheduling scheme for Qos sensitive applications". En 2011 International Conference on Mechatronic Science, Electric Engineering and Computer (MEC). IEEE, 2011. http://dx.doi.org/10.1109/mec.2011.6025454.
Texto completoInformes sobre el tema "THRESHOLD SENSITIVE"
Whalen, Timothy M. Probabilistic estimates of design load factors for wind-sensitive structures using the Peaks over threshold approach. Gaithersburg, MD: National Bureau of Standards, 1996. http://dx.doi.org/10.6028/nist.tn.1418.
Texto completoFiron, Nurit, Prem Chourey, Etan Pressman, Allen Hartwell y Kenneth J. Boote. Molecular Identification and Characterization of Heat-Stress-Responsive Microgametogenesis Genes in Tomato and Sorghum - A Feasibility Study. United States Department of Agriculture, octubre de 2007. http://dx.doi.org/10.32747/2007.7591741.bard.
Texto completoChen, Weixing. PR378-173601-Z01 Effect of Pressure Fluctuations on the Growth Rate of Near-Neutral pH SCC. Chantilly, Virginia: Pipeline Research Council International, Inc. (PRCI), julio de 2021. http://dx.doi.org/10.55274/r0012112.
Texto completoTanaka, Eri, Regina Schwerd, Wolfgang Hofbauer y Daniel Zirkelbach. Laboratory tests on decay of natural fibre insulation materials suggest a more differentiated evaluation and higher RH thresholds. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541651346.
Texto completoDavies, Will. Improving the engagement of UK armed forces overseas. Royal Institute of International Affairs, enero de 2022. http://dx.doi.org/10.55317/9781784135010.
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