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The Olympic Games: The Experience of a Lifetime or Simply the Most Important Competition of an Athletic Career?

Psychology with Olympic and Paralympic Athletes. Journal of Sport Psychology in Action , 3(2), 119-126. doi:10.1080/21520704.2012.683088Salmela, J. H. (1989). Long-term intervention with the Canadian men's Olympic gymnastic team. Sport Psychologist, 3(4), 340-349. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=s3h&AN=20735324&site=ehost-live Samulski, D.M., & Lopes, M.C. (2008). Counseling Brazilian athletes during the Olympic Games in Athens 2004: Important issues and intervention techniques. International Journal of Sport and Exercise

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Inhibition of Streptococcus pneumoniae adenylate kinase by some 5-arylidene-thiazolidin-4-on-2-thione derivates

. Structural characterization of Burkholderia pseudomallei adenylate kinase (Adk): profound asymmetry in the crystal structure of the 'open' state. Biochem Biophys Res Commun. 2010; 394(4):1012-7 7. Altschul SF, Madden TL, Schaffer AA, Zhang J, Zhang Z, Miller W, et al. Gapped BLAST and PSIBLAST: a new generation of protein database search programs. Nucleic Acids Res. 1997; 25(17): 3389-402 8. Thompson JD, Higgins DG, Gibson TJ. CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting

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The Applicability Of SWE In Polish Spatial Data Infrastructures - The Example Of The SensorML Language

References [1] Act of 27 April 2001 Environmental Protection Law. [2] Chen N., Hu C., Chen Y., Wang C., Gong J., Using SensorML to construct a geoprocessing e-Science workflow model under a sensor web environment, Computers & Geosciences , 47 , 2012, 119–129. [3] Chen N., Wang X., Yang X., A direct registry service method for sensors and algorithms based on the process model, Computers & Geosciences , 56 , 2013, 45–55. [4] Compton M., Barnaghi P., Bermudez L., García-Castro R., Corcho O., Coxe S., Graybeal J., Hauswirth M., Hensonh C

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Kinetic Parameters for the Thermal Decomposition of Forest Waste Using Distributed Activation Energy Model (DAEM)

Processing Technology 2006;87:109–115. doi: 10.1016/j.fuproc.2005.08.006 [10] Gunes M., Gunes S. A direct search method for determination of DAEM kinetic parameters from nonisothermal TGA data. Applied Mathematics and Computation 2002;130:619. doi: 10.1016/S0096-3003(01)00124-2 [11] Sonobe T., Worasuwannarak N. Kinetic analyses of biomass pyrolysis using the distributed activation energy model. Fuel 2008;87(3):414-421. doi: 10.1016/j.fuel.2007.05.004 [12] Li Z., Liu C., Chen Z., Qian J., Zhao W., Zhu Q. Analysis of coals and biomass pyrolysis using

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Rediscovering Don Swanson:The Past, Present and Future of Literature-based Discovery

individually stored temporarily by job ID so users can go back without the need to re-run the search each time. Thus, carrying out a one-node search is simply a matter of carrying out a series of two-node searches, one for each MeSH term within the category of interest ( Smalheiser, 2012b ). This greatly simplifies the computational issues involved. 7 Examples from the Front Lines of Scientific Investigation A variety of investigators have used literature-based discovery (LBD) methods to propose specific hypotheses which were then tested experimentally. Some of these

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Clinical value of ultrasonography in diagnosis of pulmonary embolism in critically ill patients

ventricle loading, may show similar ultrasound signs, such as right ventricular enlargement, interventricular septum shift to the left, restricted left ventricular filling, right ventricular motion abnormalities, and inferior vena cava expanded and fixed; However, the chronic change may lead to the right ventricular wall thickening and right atrial enlargement.[ 2 ] We should learn to distinguish PE ultrasound signs from chronic right heart diseases, otherwise the ultrasonic diagnosis of PE may be misleading. Direct ultrasound signs of PE in heart and great blood

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Opportunities and Challenges in Sustainability of Vertical Farming: A Review

, Iran. Advances in Environmental Biology , 9 (27), 386–392. Kalantari, F., Mohd Tahir, O., Golkar, N., & Kalantari, S. (2015). Restoration of Tajan River through ecological design approach. ALAM CIPTA, International Journal on Sustainable Tropical Design Research & Practice , 8 (spec. 1), 52–59. Retrieved April 2, 2015 from http://psasir.upm.edu.my/42296/ Kaplan, R. (1993). The role of nature in the Context of the workplace. Landscape and Urban Planning , 26 (1), 193–201. Retrieved September 16, 1993 from http://search.ebscohost.com/login.aspx?direct

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Spring recoil and supraglottic airway devices: lessons from the law of conservation of energy

-410. doi: 10.1007/s10877-011-9319-8 4. Agrò FE, Cataldo R, Mattei A. New devices and techniques for airway management. Minerva Anestesiol 2009; 75: 141-149 5. Sorbello M. Evolution of supraglottic airway devices: the Darwinian perspective. Minerva Anestesiol 2018; 84: 297-300. doi: 10.23736/S0375-9393.18.12680-0 6. Frova G, Sorbello M. Algorithms for difficult airway management: a review. Minerva Anestesiol 2009; 75: 201-209 7. Sorbello M, Petrini F. Supraglottic airway devices: the search for the best

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The 12 Steps of Addiction Recovery Programs as an influence on leadership development: a personal narrative

” on leadership learning. In Academy of Management Annual Meeting Proceedings (1-6). Academy of Management. Retrieved from http://0-search.ebscohost.com.ignacio.usfca.edu/login.aspx?direct=true&db=bth&AN=26536349&site=eds-live&scope=site [31] Kouzes, J.M. (1998). Finding your voice. From Spears, L.C. (Ed.), Insights on leadership. New York: John Wiley & Sons [32] Maister, D., Green, C.H., & Galford, R.M. (2000). The trusted advisor. New York: The Free Press [33] McShane, S.L., & Von Glinow, M. (2013). Organizational

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Enhancing Clinical Decision Support Systems with Public Knowledge Bases

/prediction failure for the rare but important diseases that might have little data for training. In comparison to the related work on this part, our methods work on predicting wide range of diseases. This is because doctors’ medical literature search can be on all sorts of diseases so that our automatic diagnosis prediction system cannot afford to work only on a small number of diseases. Furthermore, we concentrate on proposing a diagnosis prediction system with no need on large quantity of training data. Finally, in contrast to past studies that only accepted well

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