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Loss of mass and performance in skeletal muscle tissue: a continuum model

References 1. A. Musesti, G. G. Giusteri, and A. Marzocchi, Predicting Ageing: On the Mathematical Modelization of Ageing Muscle Tissue, in Active Age- ing and Healthy Living (G. R. et al., ed.), IOS press, 2014. Chapter 17. 2. G. Giantesio and A. Musesti, A continuum model of skeletal muscle tissue with loss of activation, in Multiscale Models in Mechano and Tu- mor Biology: Modeling, Homogenization, and Applications (A. Gerisch, R. Penta, and J. Lang, eds.), vol. 122 of Lecture Notes in Computational Science and Engineering

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Palaeopathological Evidence of Infectious Disease in a Skeletal Population from Late Medieval Riga, Latvia (15Th-17Th Centuries AD)

References Ascádi, G., Nemeskéri, J. (1970). History of Human Lifespan and Mortality. Akademiai Kiado, Budapest. 346 pp. Bergmann, A. (1988). Die lepra und ihre Gefahr für Rîga. Baltische Monatsschrift. 34, 336-355. Brennsohn, I. (1905). Die Aerzte Livlands von den ältesten Zeiten bis zur Gegenwart. Mitau (in German). 481 pp. Brooks, S., Suchey, J. M. (1990). Skeletal age determination based on the os pubis: A comparison of the Acsadi-Nemeskeri and Suchey-Brooks methods. Hum. Evol., 5, 227

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Morphological Characterisation And Molecular Sex Determination Of Human Remains From The 15th–17th Centuries In Latvia

Disease . Oxford: Academic Press. Bauer, C. M., Niederstätter, H., McGlynn, G., Stadler, H., Parson, W. (2013). Comparison of morphological and molecular genetic sex-typing on mediaeval human skeletal remains. Forensic Sci. Int. Genet. , 7 (6), 581–586. Brooks, S., Suchey, J. M. (1990). Skeletal age determination based on the os pubis: A comparison of the Acsadi-Nemeskeri and Suchey-Brooks methods. Hum. Evol. , 5, 227–238. Bruzek, J. (2002). A method for visual determination of sex, using the human hip bone. Amer. J. Phys. Anthropol. , 117

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Performance evaluation of MapReduce using full virtualisation on a departmental cloud

Skeletons: Structured Management of Parallel Computation , Pitman/MIT Press, London. Cole, M. (2004). Bringing skeletons out of the closet: A pragmatic manifesto for skeletal parallel programming, Parallel Computing 30 (3): 389-406. Danelutto, M. (2004). Adaptive task farm implementation strategies, 12th Euromicro Workshop on Parallel, Distributed and Network-Based Processing, PDP 2004 , IEEE, La Coruña, pp. 416-423. Dean, J. and Ghemawat, S. (2004). MapReduce: Simplified data processing on

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An Object-Oriented Approach to Simulating Human Gait Motion Based on Motion Tracking

Horst, N. C. (2003). Mapping optical motion capture data to skeletal motion using a physical model, Proceedings of the Eurographics/SIGGRAPH Symposium on Computer Animation, San Diego, CA, USA , pp. 245-250.

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A simultaneous localization and tracking method for a worm tracking system

, PLoS ONE 3(5): e2208. Rankin, C. H. (2002). From gene to identified neuron to behaviour in Caenorhabditis elegans, Nature Reviews Genetics 3(8): 622-630. Roussel, N., Morton, C., Finger, F. and Roysam, B. (2007). A computational model for C. elegans locomotory behavior: Application to multiworm tracking, IEEE Transactions on Biomedical Engineering 54(10): 1786-1797. Ségalat, L., Grisoni, K., Archer, J., Vargas, C., Bertrand, A. and Anderson, J. (2005). Capon expression in skeletal muscle is regulated by position, repair

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Classification in the Gabor time-frequency domain of non-stationary signals embedded in heavy noise with unknown statistical distribution

Carpentier E. L. (1994). Nonstationary signals classification using time-frequency distributions, Proceedings of the International Symposium on Time-Frequency and Time Scale, Paris, France , pp. 233-236. Werther T., Eldar Y. C. and Subanna N. K. (2005). Dual Gabor frames: Theory and computational aspects, IEEE Transactions on Signal Processing   53 (11): 4147-4158. Xie J., Hengb P.-A. and Shah M. (2008). Shape matching and modeling using skeletal context, Pattern Recognition   41 (5): 1773

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K3M: A universal algorithm for image skeletonization and a review of thinning techniques

Transactions on Systems, Man and Cybernetics   8 (2): 139-144. Arcelli, C. and di Baja, G. S. (1981). A thinning algorithm based on prominence detection, Pattern Recognition   13 (3): 225-235. Arcelli, C. and di Baja, G. S. (1987). A contour characterization for multiply connected figures, Pattern Recognition Letters   6 (4): 245-249. Arcelli, C. and di Baja, G. S. (1989). A one-pass two-operation process to detect the skeletal pixels on the 4-distance transform, IEEE Transactions on Pattern

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Impact of Body Composition, Measured by Computed Tomography Scan, on Acute Pancreatitis Course

adipose depots. Obesity , 17 (5), 1062–1069. Blomgren, K. B., Sundström, A., Steineck, G., Wiholm, B. E., (2002). Obesity and treatment of diabetes with glyburide may both be risk factors for acute pancreatitis. Diabetes Care , 25 (2), 298–302. Brewster, D. J., Strauss, B. J., Crozier, T. M. (2014). Measuring visceral fat, subcutaneous fat and skeletal muscle area changes by computed tomography in acute pancreatitis: A retrospective, single-centre study. Crit. Care Resusc ., 16 (1), 42–47. Chalasani, N., Younossi, Z., Lavine, J. E., Diehl, A

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Identification of A Novel Mutation in RYR1 Gene in Malignant Hyperthermia-Like Patient's Family Members

Identification of A Novel Mutation in RYR1 Gene in Malignant Hyperthermia-Like Patient's Family Members

Malignant hyperthermia (MH) is a rare pharmacogenetic disorder with an autosomal dominant inheritance that presents as a hypermetabolic response in skeletal muscle to volatile anaesthetic (halothane, isoflurane, desflurane, sevoflurane) and the depolarising muscle relaxant succinil-choline and rarely to stresses such as vigorous exercise and heat. We investigated the relatives of an individual with suspected MH and found a novel mutation in RYR1 gene. The molecular analysis of RYR1 gene revealed a novel nucleotide substitution in exon 6 - G528T (Glu-176-Asp) in four family members of the patient. The in vitro contracture test (IVCT) according to the European Malignant Hyperthermia Group (EMHG) guidelines showed a MH susceptible phenotype in two tested family members.

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