238 research outputs found

    COMPARISON OF SPRINTING MECHANICS OF THE DOUBLE TRANSTIBIAL AMPUTEE OSCAR PISTORIUS WITH ABLE BODIED ATHLETES

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    The purpose of this study was to examine the overall kinetics and the kinetics at the joints of the lower limb while sprinting at maximum speed, and to compare the data of a double transtibial amputee (OP) and able-bodied controls running at the same level of performance. One double transtibial amputee, and five able-bodied sprinters participated in the study. The athletes performed submaximal and maximal sprints on an indoor track embedded with 4 Kistler force plates while recorded with a 12 camera Vicon 624 system. OP displayed lower mechanical work (stance phase), external joint moments and joint power at the hip and the knee joints while displaying higher values of joint power at the (prosthetic) ankle joint compared to able-bodied athletes. The mechanical work at the knee joints was 11 times higher in the negative phase and 8.1 times higher in the positive phase during stance in the able-bodied athletes compared to OP

    COMPARISON OF SPRINTING MECHANICS OF THE DOUBLE TRANSTIBIAL AMPUTEE OSCAR PISTORIUS WITH ABLE BODIED ATHLETES

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    The purpose of this study was to examine the overall kinetics and the kinetics at the joints of the lower limb while sprinting at maximum speed, and to compare the data of a double transtibial amputee (OP) and able-bodied controls running at the same level of performance. One double transtibial amputee, and five able-bodied sprinters participated in the study. The athletes performed submaximal and maximal sprints on an indoor track embedded with 4 Kistler force plates while recorded with a 12 camera Vicon 624 system. OP displayed lower mechanical work (stance phase), external joint moments and joint power at the hip and the knee joints while displaying higher values of joint power at the (prosthetic) ankle joint compared to able-bodied athletes. The mechanical work at the knee joints was 11 times higher in the negative phase and 8.1 times higher in the positive phase during stance in the able-bodied athletes compared to OP

    PAN@FIRE: Overview of the cross-language !ndian Text re-use detection competition

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    The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-642-40087-2_6The development of models for automatic detection of text re-use and plagiarism across languages has received increasing attention in recent years. However, the lack of an evaluation framework composed of annotated datasets has caused these efforts to be isolated. In this paper we present the CL!TR 2011 corpus, the first manually created corpus for the analysis of cross-language text re-use between English and Hindi. The corpus was used during the Cross-Language !ndian Text Re-Use Detection Competition. Here we overview the approaches applied the contestants and evaluate their quality when detecting a re-used text together with its source.This research work is partially funded by the WIQ-EI (IRSES grant n. 269180)and ACCURAT (grant n. 248347) projects, and the Seventh Framework Programme (FP7/2007-2013) under grant agreement n. 246016 from the European Union. The first author was partially funded by the CONACyT-Mexico 192021 grant and currently works under the ERCIM “Alain Bensoussan” Fellowship Programme. The research of the second author is in the framework of the VLC/Campus Microcluster on Multimodal Interaction in Intelligent Systems and partially funded by the MICINN research project TEXT-ENTERPRISE 2.0 TIN2009-13391-C04-03 (plan I+D+i). The research from AU-KBC Centre is supported by the Cross Lingual Information Access (CLIA) Phase II Project.Barrón Cedeño, LA.; Rosso ., P.; Sobha, LD.; Clough ., P.; Stevenson ., M. (2013). PAN@FIRE: Overview of the cross-language !ndian Text re-use detection competition. En Multilingual Information Access in South Asian Languages. Springer Verlag (Germany). 7536:59-70. https://doi.org/10.1007/978-3-642-40087-2_6S59707536Addanki, K., Wu, D.: An Evaluation of MT Alignment Baseline Approaches upon Cross-Lingual Plagiarism Detection. In: FIRE [12]Aggarwal, N., Asooja, K., Buitelaar, P.: Cross Lingual Text Reuse Detection Using Machine Translation & Similarity Measures. In: FIRE [12]Alegria, I., Forcada, M., Sarasola, K. (eds.): Proceedings of the SEPLN 2009 Workshop on Information Retrieval and Information Extraction for Less Resourced Languages. University of the Basque Country, Donostia, Donostia (2009)Barrón-Cedeño, A., Rosso, P., Pinto, D., Juan, A.: On Cross-Lingual Plagiarism Analysis Using a Statistical Model. In: Stein, B., Stamatatos, E., Koppel, M. (eds.) ECAI 2008 Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2008), vol. 377, pp. 9–13. CEUR-WS.org, Patras (2008), http://ceur-ws.org/Vol-377Bendersky, M., Croft, W.: Finding Text Reuse on the Web. In: Baeza-Yates, R., Boldi, P., Ribeiro-Neto, B., Cambazoglu, B. (eds.) Proceedings of the Second ACM International Conference on Web Search and Web Data Mining, pp. 262–271. ACM, Barcelona (2009)Ceska, Z., Toman, M., Jezek, K.: Multilingual Plagiarism Detection. In: Proceedings of the 13th International Conference on Artificial Intelligence (ICAI 2008), pp. 83–92. Springer, Varna (2008)Clough, P.: Plagiarism in Natural and Programming Languages: an Overview of Current Tools and Technologies. Research Memoranda: CS-00-05, Department of Computer Science. University of Sheffield, UK (2000)Clough, P.: Old and new challenges in automatic plagiarism detection. National UK Plagiarism Advisory Service (2003), http://ir.shef.ac.uk/cloughie/papers/pasplagiarism.pdfClough, P., Gaizauskas, R.: Corpora and Text Re-Use. In: Lüdeling, A., Kytö, M., McEnery, T. (eds.) Handbook of Corpus Linguistics. Handbooks of Linguistics and Communication Science, pp. 1249–1271. Mouton de Gruyter (2009)Clough, P., Stevenson, M.: Developing a Corpus of Plagiarised Examples. Language Resources and Evaluation 45(1), 5–24 (2011)Comas, R., Sureda, J.: Academic Cyberplagiarism: Tracing the Causes to Reach Solutions. In: Comas, R., Sureda, J. (eds.) Academic Cyberplagiarism [online dossier], Digithum. Iss, vol. 10, pp. 1–6. UOC (2008), http://bit.ly/cyberplagiarism_csMajumder, P., Mitra, M., Bhattacharyya, P., Subramaniam, L., Contractor, D., Rosso, P. (eds.): FIRE 2010 and 2011. LNCS, vol. 7536. Springer, Heidelberg (2013)Gale, W., Church, K.: A Program for Aligning Sentences in Bilingual Corpora. Computational Linguistics 19, 75–102 (1993)Ghosh, A., Bhaskar, P., Pal, S., Bandyopadhyay, S.: Rule Based Plagiarism Detection using Information Retrieval. In: Petras, et al. [24]Gupta, P., Singhal, K.: Mapping Hindi-English Text Re-use Document Pairs. In: FIRE [12]Head, A.: How today’s college students use Wikipedia for course-related research. First Monday 15(3) (March 2010), http://www.uic.edu/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/2830/2476IEEE: A Plagiarism FAQ (2008), http://bit.ly/ieee_plagiarism (published: 2008; accessed March 3, 2010)Kulathuramaiyer, N., Maurer, H.: Coping With the Copy-Paste-Syndrome. In: Proceedings of World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education 2007 (E-Learn 2007), pp. 1072–1079. AACE, Quebec City (2007)Lee, C., Wu, C., Yang, H.: A Platform Framework for Cross-lingual Text Relatedness Evaluation and Plagiarism Detection. In: Proceedings of the 3rd International Conference on Innovative Computing Information (ICICIC 2008). IEEE Computer Society (2008)Martínez, I.: Wikipedia Usage by Mexican Students. The Constant Usage of Copy and Paste. In: Wikimania 2009, Buenos Aires, Argentina (2009), http://wikimania2009.wikimedia.orgMaurer, H., Kappe, F., Zaka, B.: Plagiarism - a survey. Journal of Universal Computer Science 12(8), 1050–1084 (2006)Palkovskii, Y., Belov, A.: Exploring Cross Lingual Plagiarism Detection in Hindi-English with n-gram Fingerprinting and VSM based Similarity Detection. In: FIRE [12]Palkovskii, Y., Belov, A., Muzika, I.: Using WordNet-based Semantic Similarity Measurement in External Plagiarism Detection - Notebook for PAN at CLEF 2011. In: Petras, et al. [24]Petras, V., Forner, P., Clough, P. (eds.): Notebook Papers of CLEF 2011 LABs and Workshops, Amsterdam, The Netherlands (September 2011)Potthast, M., Stein, B., Eiselt, A., Barrón-Cedeño, A., Rosso, P.: Overview of the 1st international competition on plagiarism detection. In: Stein, B., Rosso, P., Stamatatos, E., Koppel, M., Agirre, E. (eds.) SEPLN 2009 Workshop on Uncovering Plagiarism, Authorship, and Social Software Misuse (PAN 2009), vol. 502, pp. 1–9. CEUR-WS.org, San Sebastian (2009), http://ceur-ws.org/Vol-502Potthast, M., Barrón-Cedeño, A., Stein, B., Rosso, P.: Cross-Language Plagiarism Detection. Language Resources and Evaluation (LRE), Special Issue on Plagiarism and Authorship Analysis 45(1), 1–18 (2011)Potthast, M., Eiselt, A., Barrón-Cedeño, A., Stein, B., Rosso, P.: Overview of the 3rd International Competition on Plagiarism Detection. In: Petras, et al. [24]Potthast, M., Stein, B., Barrón-Cedeño, A., Rosso, P.: An Evaluation Framework for Plagiarism Detection. In: Huang, C.R., Jurafsky, D. (eds.) Proceedings of the 23rd International Conference on Computational Linguistics (COLING 2010), pp. 997–1005. COLING 2010 Organizing Committee, Beijing (2010)Potthast, M., Barrón-Cedeño, A., Eiselt, A., Stein, B., Rosso, P.: Overview of the 2nd International Competition on Plagiarism Detection. In: Braschler, M., Harman, D. (eds.) Notebook Papers of CLEF 2010 LABs and Workshops, Padua, Italy (September 2010)Rambhoopal, K., Varma, V.: Cross-Lingual Text Reuse Detection Based On Keyphrase Extraction and Similarity Measures. In: FIRE [12]Weber, S.: Das Google-Copy-Paste-Syndrom. Wie Netzplagiate Ausbildung und Wissen gefahrden. Telepolis (2007

    Retention and generalizability of balance recovery response adaptations from trip-perturbations across the adult lifespan

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    For human locomotion, varying environments require adjustments of the motor system. We asked whether age affects gait balance recovery adaptation, its retention over months and the transfer of adaptation to an untrained reactive balance task. Healthy adults (26 young, 27 middle-aged and 25 older; average ages 24, 52 and 72 years respectively) completed two tasks. The primary task involved treadmill walking: either unperturbed (control; n=39) or subject to unexpected trip perturbations (training; n=39). A single trip perturbation was repeated after a 14-week retention period. The secondary transfer task, before and after treadmill walking, involved sudden loss of balance in a lean-and-release protocol. For both tasks the anteroposterior margin of stability (MoS) was calculated at foot touchdown. For the first (i.e. novel) trip, older adults required one more recovery step ( P=0.03) to regain positive MoS compared to younger, but not middle-aged, adults. However, over several trip perturbations, all age groups increased their MoS for the first recovery step to a similar extent (up to 70%), and retained improvements over 14 weeks, though a decay over time was found for older adults ( P=0.002; middle-aged showing a tendency for decay: P=0.076). Thus, although adaptability in reactive gait stability control remains effective across the adult lifespan, retention of adaptations over time appears diminished with aging. Despite these robust adaptations, the perturbation training group did not show superior improvements in the transfer task compared to aged-matched controls (no differences in MoS changes), suggesting that generalizability of acquired fall-resisting skills from gait-perturbation training may be limited

    THE SUCCESS OF A SOCCER KICK DEPENDS ON RUN UP DECELERATION

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    The purpose of the study was to relate the motion of the centre of mass (CoM) during run ups in soccer full insteps kicks with the obtained ball speeds. Nineteen experienced play-ers performed kicks onto the goal and their full body kinematics as well as ball motion were analysed in three dimensions using two high speed video cameras. Higher decel-erations of the CoM with the last step are associated with higher ball velocities and higher thigh angular impulses. Those data suggest, that an intensive breaking of the CoM veloc-ity provides a prerequisite to transfer a portion of the CoM impulse into angular impulse of the thigh. High angular impulse of the thigh however can be beneficial for fast instep kicks

    THE EFFECT OF DIFFERENT FOOTWEAR ON THE MYOELECTRIC ACTIVITY OF M. TIBIALIS POSTERIOR DURING TREADMILL RUNNING

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    Overload running injuries of the lower extremity, particularly the knee, are associated with excessive pronation of the foot resulting in tibial rotation (Nigg et al., 1995). M. tibialis posterior (TP) is shown to have an active influence on pronation and the medial longitudinal arch (Kaye & Jahss, 1991). Its functional role during running and interaction with footwear is still not clearly understood (Reber et al., 1993; O’Connor & Hamill, 2004). Therefore the purpose of this study is to investigate the influence of different footwear on the muscle’s EMG pattern

    WIRE EMG OF FLEXOR HALLUCIS LONGUS DURING BAREFOOT AND SHOD RUNNING ON A TREADMILL: A PILOT STUDY

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    Excessive pronation is associated with overload injuries of the lower extremity (Nigg, 1995). The flexor hallucis longus (FHL) acts against the pronation of the calcaneus (Klein, 1996). The influence of different footwear on the activity of the FHL was neither measured in walking nor running. The purpose of this study was to investigate the activity of the FHL during different phases in stance of walking and running in different footwear conditions
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