Treffer 1 - 20 von 177

Middle School Students Communicating Computational Thinking: A Systemic Functional Linguistics-Case Study of Bilingual, Collaborative Teaching/Learning of Computer Programming in Python
Jose Antonio Lecea Yanguas
490

PyHLS: Intermediate Representation for Versatile High-Level Synthesis.
Cieszewski, Radoslaw
International Journal of Electronics & Telecommunications; 2025, Vol. 71 Issue 4, p1-7, 9p

Considerations for Building a Data Science Culture for the Clinical Laboratory.
McFadden, Benjamin R.
Journal of Applied Laboratory Medicine; Mar2025, Vol. 10 Issue 2, p505-509, 5p

On the variability of dynamic functional connectivity assessment methods.
Torabi, Mohammad ; Mitsis, Georgios D ; Poline, Jean-Baptiste
GigaScience; 2024, Vol. 13 Issue 1, p1-18, 18p

CoderEval: A Benchmark of Pragmatic Code Generation with Generative Pre-trained Models.
Yu, Hao ; Shen, Bo ; Ran, Dezhi ; et al.
ICSE: International Conference on Software Engineering; 2024, p1-12, 12p

PyCDT: A Python toolkit for modeling point defects in semiconductors and insulators
Broberg, Danny ; Medasani, Bharat ; Zimmermann, Nils ER ; et al.
Computer Physics Communications. 226

Teaching Data Science with Literate Programming Tools.
Birkenkrahe, Marcus
Digital; Sep2023, Vol. 3 Issue 3, p232-250, 19p

Design and Implementation of Household Electrical Appliances Control System: An Approach to Learning Python in NCE Curriculum
Suleiman, Garba ; Suleiman, Garba
International Journal of Recent Advances in Multidisciplinary Topics; Vol. 4 No. 3 (2023); 152-155; 2582-7839

Python Materials Genomics (pymatgen): A robust, open-source python library for materials analysis
ONG, Shyue Ping ; RICHARDS, William Davidson ; JAIN, Anubhav ; et al.
Computational materials science. 68:314-319

A Large-Scale Empirical Study of Real-Life Performance Issues in Open Source Projects
Yutong Zhao ; Lu Xiao ; Andre B. Bondi ; et al.
IEEE Transactions on Software Engineering. 49:924-946

Effectiveness of Therapeutic Exercise Combined With Respiratory Muscle Training in Patients With Subacute Stroke (REMUST)
Complexo Hospitalario Universitario de A Coruña ; Universidade da Coruña ; Ana Lista Paz, PhD. Permanent Labor Professor of the Faculty of Physiotherapy at the University of Coruña
Effectiveness of a Therapeutic Exercise Program Combined With Respiratory Muscle Training in Patients With Subacute Stroke: a Randomized Clinical Trial
Laveneziana P, Albuquerque A, Aliverti A, Babb T, Barreiro E, Dres M, Dube BP, Fauroux B, Gea J, Guenette JA, Hudson AL, Kabitz HJ, Laghi F, Langer D, Luo YM, Neder JA, O'Donnell D, Polkey MI, Rabinovich RA, Rossi A, Series F, Similowski T, Spengler CM, Vogiatzis I, Verges S. ERS statement on respiratory muscle testing at rest and during exercise. Eur Respir J. 2019 Jun 13;53(6):1801214. doi: 10.1183/13993003.01214-2018. Print 2019 Jun.
Fulk GD, Ludwig M, Dunning K, Golden S, Boyne P, West T. How much change in the stroke impact scale-16 is important to people who have experienced a stroke? Top Stroke Rehabil. 2010 Nov-Dec;17(6):477-83. doi: 10.1310/tsr1706-477.
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Duncan PW, Lai SM, Bode RK, Perera S, DeRosa J. Stroke Impact Scale-16: A brief assessment of physical function. Neurology. 2003 Jan 28;60(2):291-6. doi: 10.1212/01.wnl.0000041493.65665.d6.
Messaggi-Sartor M, Guillen-Sola A, Depolo M, Duarte E, Rodriguez DA, Barrera MC, Barreiro E, Escalada F, Orozco-Levi M, Marco E. Inspiratory and expiratory muscle training in subacute stroke: A randomized clinical trial. Neurology. 2015 Aug 18;85(7):564-72. doi: 10.1212/WNL.0000000000001827. Epub 2015 Jul 15.
Kendrick KR, Baxi SC, Smith RM. Usefulness of the modified 0-10 Borg scale in assessing the degree of dyspnea in patients with COPD and asthma. J Emerg Nurs. 2000 Jun;26(3):216-22. doi: 10.1016/s0099-1767(00)90093-x.
Sunjaya A, Poulos L, Reddel H, Jenkins C. Qualitative validation of the modified Medical Research Council (mMRC) dyspnoea scale as a patient-reported measure of breathlessness severity. Respir Med. 2022 Nov;203:106984. doi: 10.1016/j.rmed.2022.106984. Epub 2022 Sep 9.
Adams HP Jr, Davis PH, Leira EC, Chang KC, Bendixen BH, Clarke WR, Woolson RF, Hansen MD. Baseline NIH Stroke Scale score strongly predicts outcome after stroke: A report of the Trial of Org 10172 in Acute Stroke Treatment (TOAST). Neurology. 1999 Jul 13;53(1):126-31. doi: 10.1212/wnl.53.1.126.
Lee Y, Kim G, Kwon S. The Usefulness of Auditory Perceptual Assessment and Acoustic Analysis for Classifying the Voice Severity. J Voice. 2020 Nov;34(6):884-893. doi: 10.1016/j.jvoice.2019.04.013. Epub 2019 May 17.
Chandrashekaraiah B, N S, K PT. Impact of Effortful Swallow with Progressive Resistance on Swallow Safety, Efficiency and Quality of Life in Individuals with Post-Stroke Dysphagia: Analysis Using DIGEST- FEES and SWAL-QOL. Indian J Otolaryngol Head Neck Surg. 2023 Dec;75(4):2836-2841. doi: 10.1007/s12070-023-03846-7. Epub 2023 May 17.
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Bhakta NR, McGowan A, Ramsey KA, Borg B, Kivastik J, Knight SL, Sylvester K, Burgos F, Swenson ER, McCarthy K, Cooper BG, Garcia-Rio F, Skloot G, McCormack M, Mottram C, Irvin CG, Steenbruggen I, Coates AL, Kaminsky DA. European Respiratory Society/American Thoracic Society technical statement: standardisation of the measurement of lung volumes, 2023 update. Eur Respir J. 2023 Oct 12;62(4):2201519. doi: 10.1183/13993003.01519-2022. Print 2023 Oct.
Graham BL, Steenbruggen I, Miller MR, Barjaktarevic IZ, Cooper BG, Hall GL, Hallstrand TS, Kaminsky DA, McCarthy K, McCormack MC, Oropez CE, Rosenfeld M, Stanojevic S, Swanney MP, Thompson BR. Standardization of Spirometry 2019 Update. An Official American Thoracic Society and European Respiratory Society Technical Statement. Am J Respir Crit Care Med. 2019 Oct 15;200(8):e70-e88. doi: 10.1164/rccm.201908-1590ST.
Kollen B, Kwakkel G, Lindeman E. Time dependency of walking classification in stroke. Phys Ther. 2006 May;86(5):618-25.
Mehrholz J, Wagner K, Rutte K, Meissner D, Pohl M. Predictive validity and responsiveness of the functional ambulation category in hemiparetic patients after stroke. Arch Phys Med Rehabil. 2007 Oct;88(10):1314-9. doi: 10.1016/j.apmr.2007.06.764.
Mehrholz J, Pohl M, Kugler J, Elsner B. The Improvement of Walking Ability Following Stroke. Dtsch Arztebl Int. 2018 Sep 28;115(39):639-645. doi: 10.3238/arztebl.2018.0639.
Ward I, Pivko S, Brooks G, Parkin K. Validity of the stroke rehabilitation assessment of movement scale in acute rehabilitation: a comparison with the functional independence measure and stroke impact scale-16. PM R. 2011 Nov;3(11):1013-21. doi: 10.1016/j.pmrj.2011.08.537.
Salter K, Jutai J, Foley N, Teasell R. Clinical Outcome Variables Scale: A retrospective validation study in patients after stroke. J Rehabil Med. 2010 Jul;42(7):609-13. doi: 10.2340/16501977-0567.
Inouye M, Hashimoto H, Mio T, Sumino K. Influence of admission functional status on functional change after stroke rehabilitation. Am J Phys Med Rehabil. 2001 Feb;80(2):121-5; quiz 126, 146. doi: 10.1097/00002060-200102000-00008.
Hsueh IP, Lin JH, Jeng JS, Hsieh CL. Comparison of the psychometric characteristics of the functional independence measure, 5 item Barthel index, and 10 item Barthel index in patients with stroke. J Neurol Neurosurg Psychiatry. 2002 Aug;73(2):188-90. doi: 10.1136/jnnp.73.2.188.
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Mong Y, Teo TW, Ng SS. 5-repetition sit-to-stand test in subjects with chronic stroke: reliability and validity. Arch Phys Med Rehabil. 2010 Mar;91(3):407-13. doi: 10.1016/j.apmr.2009.10.030.
Beninato M, Portney LG, Sullivan PE. Using the International Classification of Functioning, Disability and Health as a framework to examine the association between falls and clinical assessment tools in people with stroke. Phys Ther. 2009 Aug;89(8):816-25. doi: 10.2522/ptj.20080160. Epub 2009 Jun 11.
Wee JY, Wong H, Palepu A. Validation of the Berg Balance Scale as a predictor of length of stay and discharge destination in stroke rehabilitation. Arch Phys Med Rehabil. 2003 May;84(5):731-5. doi: 10.1016/s0003-9993(02)04940-7.
Alghadir AH, Al-Eisa ES, Anwer S, Sarkar B. Reliability, validity, and responsiveness of three scales for measuring balance in patients with chronic stroke. BMC Neurol. 2018 Sep 13;18(1):141. doi: 10.1186/s12883-018-1146-9.
Knorr S, Brouwer B, Garland SJ. Validity of the Community Balance and Mobility Scale in community-dwelling persons after stroke. Arch Phys Med Rehabil. 2010 Jun;91(6):890-6. doi: 10.1016/j.apmr.2010.02.010.
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Andersson AG, Kamwendo K, Seiger A, Appelros P. How to identify potential fallers in a stroke unit: validity indexes of 4 test methods. J Rehabil Med. 2006 May;38(3):186-91. doi: 10.1080/16501970500478023.
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Thilarajah S, Mentiplay BF, Bower KJ, Tan D, Pua YH, Williams G, Koh G, Clark RA. Factors Associated With Post-Stroke Physical Activity: A Systematic Review and Meta-Analysis. Arch Phys Med Rehabil. 2018 Sep;99(9):1876-1889. doi: 10.1016/j.apmr.2017.09.117. Epub 2017 Oct 19.
Lee J, Stone AJ. Combined Aerobic and Resistance Training for Cardiorespiratory Fitness, Muscle Strength, and Walking Capacity after Stroke: A Systematic Review and Meta-Analysis. J Stroke Cerebrovasc Dis. 2020 Jan;29(1):104498. doi: 10.1016/j.jstrokecerebrovasdis.2019.104498. Epub 2019 Nov 13.
Fulk GD, Echternach JL, Nof L, O'Sullivan S. Clinometric properties of the six-minute walk test in individuals undergoing rehabilitation poststroke. Physiother Theory Pract. 2008 May-Jun;24(3):195-204. doi: 10.1080/09593980701588284.
Macchiavelli A, Giffone A, Ferrarello F, Paci M. Reliability of the six-minute walk test in individuals with stroke: systematic review and meta-analysis. Neurol Sci. 2021 Jan;42(1):81-87. doi: 10.1007/s10072-020-04829-0. Epub 2020 Oct 16.
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Hendrey G, Holland AE, Mentiplay BF, Clark RA, Williams G. Do Trials of Resistance Training to Improve Mobility After Stroke Adhere to the American College of Sports Medicine Guidelines? A Systematic Review. Arch Phys Med Rehabil. 2018 Mar;99(3):584-597.e13. doi: 10.1016/j.apmr.2017.06.021. Epub 2017 Jul 26.
Eng JJ. Fitness and Mobility Exercise (FAME) Program for stroke. Top Geriatr Rehabil. 2010;26(4):310-323. doi: 10.1097/TGR.0b013e3181fee736.
MacKay-Lyons M, Billinger SA, Eng JJ, Dromerick A, Giacomantonio N, Hafer-Macko C, Macko R, Nguyen E, Prior P, Suskin N, Tang A, Thornton M, Unsworth K. Aerobic Exercise Recommendations to Optimize Best Practices in Care After Stroke: AEROBICS 2019 Update. Phys Ther. 2020 Jan 23;100(1):149-156. doi: 10.1093/ptj/pzz153.
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Lista-Paz A, Langer D, Barral-Fernandez M, Quintela-Del-Rio A, Gimeno-Santos E, Arbillaga-Etxarri A, Torres-Castro R, Vilaro Casamitjana J, Varas de la Fuente AB, Serrano Veguillas C, Bravo Cortes P, Martin Cortijo C, Garcia Delgado E, Herrero-Cortina B, Valera JL, Fregonezi GAF, Gonzalez Montanez C, Martin-Valero R, Francin-Gallego M, Sanesteban Hermida Y, Gimenez Moolhuyzen E, Alvarez Rivas J, Rios-Cortes AT, Souto-Camba S, Gonzalez-Doniz L. Maximal Respiratory Pressure Reference Equations in Healthy Adults and Cut-off Points for Defining Respiratory Muscle Weakness. Arch Bronconeumol. 2023 Dec;59(12):813-820. doi: 10.1016/j.arbres.2023.08.016. Epub 2023 Sep 29. English, Spanish.
Parreiras de Menezes KK, Nascimento LR, Ada L, Avelino PR, Polese JC, Mota Alvarenga MT, Barbosa MH, Teixeira-Salmela LF. High-Intensity Respiratory Muscle Training Improves Strength and Dyspnea Poststroke: A Double-Blind Randomized Trial. Arch Phys Med Rehabil. 2019 Feb;100(2):205-212. doi: 10.1016/j.apmr.2018.09.115. Epub 2018 Oct 12.
Gomes-Neto M, Saquetto MB, Silva CM, Carvalho VO, Ribeiro N, Conceicao CS. Effects of Respiratory Muscle Training on Respiratory Function, Respiratory Muscle Strength, and Exercise Tolerance in Patients Poststroke: A Systematic Review With Meta-Analysis. Arch Phys Med Rehabil. 2016 Nov;97(11):1994-2001. doi: 10.1016/j.apmr.2016.04.018. Epub 2016 May 20.
Fabero-Garrido R, Del Corral T, Angulo-Diaz-Parreno S, Plaza-Manzano G, Martin-Casas P, Cleland JA, Fernandez-de-Las-Penas C, Lopez-de-Uralde-Villanueva I. Respiratory muscle training improves exercise tolerance and respiratory muscle function/structure post-stroke at short term: A systematic review and meta-analysis. Ann Phys Rehabil Med. 2022 Sep;65(5):101596. doi: 10.1016/j.rehab.2021.101596. Epub 2021 Nov 18.
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PyCDT: A Python toolkit for modeling point defects in semiconductors and insulators
Broberg, D ; Broberg, D ; Medasani, B ; et al.

NLP and Graph-Theory-based Coding for Text (Corpus) Analysis. A Comparative Poetry and Philosophy Implementation Case Study
UCL - SSH/INCA - Institut des civilisations, arts et lettres ; Tanasescu, Chris ; UCL - SSH/INCA - Institut des civilisations, arts et lettres ; et al.
Digital Humanities Quarterly, (2021)

Teaching Data Science with Literate Programming Tools
Marcus Birkenkrahe
Digital, Vol 3, Iss 3, Pp 232-250 (2023)

Compensatory Brain Activity in Older Adults. (BrainAct)
National Science Centre, Poland ; John Paul II Catholic University of Lublin, Poland ; Ludmiła Zając-Lamparska, Professor
Compensatory Brain Activity in Older Adults. The Search for the Electrophysiological Indicators of Cognitive Processes Involved in This Activity, and Its Possible Changes Induced by Working Memory Training
Zajac-Lamparska L. Limited training and transfer effects in older and young adults who participated in 12 sessions of process-based working memory training. A three-armed pretest-posttest design study. BMC Res Notes. 2024 Jun 28;17(1):181. doi: 10.1186/s13104-024-06844-2.

Diseño de un prototipo de robot delta mediante impresión 3D
Cabezas López, Guillermo ; Tristán Vega, Antonio ; Universidad de Valladolid. Escuela de Ingenierías Industriales ; et al.

Engineering Software Systems for Quantum Computing as a Service: A Mapping Study
Ahmad, Aakash ; Waseem, Muhammad ; Liang, Peng ; et al.

ERSN-OpenMC-Py: A python-based open-source software for OpenMC Monte Carlo code.
Lahdour, M. ; El Bardouni, T. ; El Hajjaji, O. ; et al.
Computer Physics Communications. Jun2024, Vol. 299, pN.PAG-N.PAG. 1p.

Fortnet, a software package for training Behler-Parrinello neural networks.
van der Heide, T. ; Kullgren, J. ; Broqvist, P. ; et al.
Computer Physics Communications. Mar2023, Vol. 284, pN.PAG-N.PAG. 1p.

Materials Learning Algorithms (MALA): Scalable machine learning for electronic structure calculations in large-scale atomistic simulations.
Cangi, Attila ; Fiedler, Lenz ; Brzoza, Bartosz ; et al.
Computer Physics Communications. Sep2025, Vol. 314, pN.PAG-N.PAG. 1p.