Search results for "31"

showing 10 items of 4401 documents

sj-jpg-3-cre-10.1177_02692155211022009 – Supplemental material for Effects of balance training on functionality, ankle instability, and dynamic balan…

2021

Supplemental material, sj-jpg-3-cre-10.1177_02692155211022009 for Effects of balance training on functionality, ankle instability, and dynamic balance outcomes in people with chronic ankle instability: Systematic review and meta-analysis by Sara Mollà-Casanova, Marta Inglés and Pilar Serra-Añó in Clinical Rehabilitation

FOS: Clinical medicine110604 Sports MedicineFOS: Health sciences110904 Neurology and Neuromuscular Diseases110314 Orthopaedics
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sj-pdf-1-tab-10.1177_1759720X20975927 – Supplemental material for Glucosamine sulphate: an umbrella review of health outcomes

2020

Supplemental material, sj-pdf-1-tab-10.1177_1759720X20975927 for Glucosamine sulphate: an umbrella review of health outcomes by Nicola Veronese, Jacopo Demurtas, Lee Smith, Jean-Yves Reginster, Olivier Bruyère, Charlotte Beaudart, Germain Honvo and Stefania Maggi in Therapeutic Advances in Musculoskeletal Disease

FOS: Clinical medicine110604 Sports MedicineFOS: Health sciences111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110314 Orthopaedics
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sj-pdf-1-tab-10.1177_1759720X20975927 – Supplemental material for Glucosamine sulphate: an umbrella review of health outcomes

2020

Supplemental material, sj-pdf-1-tab-10.1177_1759720X20975927 for Glucosamine sulphate: an umbrella review of health outcomes by Nicola Veronese, Jacopo Demurtas, Lee Smith, Jean-Yves Reginster, Olivier Bruyère, Charlotte Beaudart, Germain Honvo and Stefania Maggi in Therapeutic Advances in Musculoskeletal Disease

FOS: Clinical medicine110604 Sports MedicineFOS: Health sciences111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110314 Orthopaedics
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Opioids_OAC_supplementary_materials_v2 – Supplemental material for Health outcomes and costs in patients with osteoarthritis and chronic pain treated…

2020

Supplemental material, Opioids_OAC_supplementary_materials_v2 for Health outcomes and costs in patients with osteoarthritis and chronic pain treated with opioids in Spain: the OPIOIDS real-world study by Antoni Sicras-Mainar, Carlos Tornero-Tornero, Francisco Vargas-Negrín, Isabel Lizarraga and Javier Rejas-Gutierrez in Therapeutic Advances in Musculoskeletal Disease

FOS: Clinical medicine110604 Sports MedicineFOS: Health sciences111599 Pharmacology and Pharmaceutical Sciences not elsewhere classified110314 Orthopaedics
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Array programming with NumPy.

2020

Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It has an essential role in research analysis pipelines in fields as diverse as physics, chemistry, astronomy, geoscience, biology, psychology, materials science, engineering, finance and economics. For example, in astronomy, NumPy was an important part of the software stack used in the discovery of gravitational waves1 and in the first imaging of a black hole2. Here we review how a few fundamental array concepts lead to a simple and powerful programmi…

FOS: Computer and information sciences/639/705/1042Computer science/639/705/794Interoperability/639/705/117Review ArticleStatistics - Computationohjelmointikielet01 natural sciences03 medical and health sciencesSoftwareSoftware Designlaskennallinen tiede0103 physical sciencesFOS: Mathematics010303 astronomy & astrophysicsComputation (stat.CO)030304 developmental biologycomputer.programming_languageSolar physics0303 health sciencesMultidisciplinaryApplication programming interfacebusiness.industryNumPyComputational sciencereview-articleComputational BiologyPython (programming language)Computer science/704/525/870Computational neuroscienceProgramming paradigmSoftware designComputer Science - Mathematical Software/631/378/116/139Programming LanguagesArray programmingohjelmistokirjastotSoftware engineeringbusinessMathematical Software (cs.MS)computerMathematicsSoftwarePythonNature
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sj-docx-2-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…

2022

Supplemental material, sj-docx-2-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health

FOS: Computer and information sciences200299 Cultural Studies not elsewhere classifiedScience PolicyFOS: Clinical medicineFOS: Political science150310 Organisation and Management TheoryCardiology111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences110306 Endocrinology110308 Geriatrics and Gerontology99999 Engineering not elsewhere classifiedFOS: SociologyFOS: Economics and business111099 Nursing not elsewhere classifiedFOS: Other engineering and technologiesSociology111708 Health and Community ServicesAnthropology111702 Aged Health Care89999 Information and Computing Sciences not elsewhere classifiedFOS: Other humanities160512 Social Policy111299 Oncology and Carcinogenesis not elsewhere classified
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sj-docx-1-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…

2022

Supplemental material, sj-docx-1-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health

FOS: Computer and information sciences200299 Cultural Studies not elsewhere classifiedScience PolicyFOS: Clinical medicineFOS: Political science150310 Organisation and Management TheoryCardiology111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences110306 Endocrinology110308 Geriatrics and Gerontology99999 Engineering not elsewhere classifiedFOS: SociologyFOS: Economics and business111099 Nursing not elsewhere classifiedFOS: Other engineering and technologiesSociology111708 Health and Community ServicesAnthropology111702 Aged Health Care89999 Information and Computing Sciences not elsewhere classifiedFOS: Other humanities160512 Social Policy111299 Oncology and Carcinogenesis not elsewhere classified
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sj-docx-2-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…

2022

Supplemental material, sj-docx-2-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health

FOS: Computer and information sciences200299 Cultural Studies not elsewhere classifiedScience PolicyFOS: Clinical medicineFOS: Political science150310 Organisation and Management TheoryCardiology111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences110306 Endocrinology110308 Geriatrics and Gerontology99999 Engineering not elsewhere classifiedFOS: SociologyFOS: Economics and business111099 Nursing not elsewhere classifiedFOS: Other engineering and technologiesSociology111708 Health and Community ServicesAnthropology111702 Aged Health Care89999 Information and Computing Sciences not elsewhere classifiedFOS: Other humanities160512 Social Policy111299 Oncology and Carcinogenesis not elsewhere classified
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sj-docx-1-dhj-10.1177_20552076221074485 - Supplemental material for The role of age and digital competence on the use of online health and social car…

2022

Supplemental material, sj-docx-1-dhj-10.1177_20552076221074485 for The role of age and digital competence on the use of online health and social care services: A cross-sectional population-based survey by T Heponiemi, A-M Kaihlanen, A Kouvonen, L Leemann, S Taipale and K Gluschkoff in Digital Health

FOS: Computer and information sciences200299 Cultural Studies not elsewhere classifiedScience PolicyFOS: Clinical medicineFOS: Political science150310 Organisation and Management TheoryCardiology111799 Public Health and Health Services not elsewhere classifiedFOS: Health sciences110306 Endocrinology110308 Geriatrics and Gerontology99999 Engineering not elsewhere classifiedFOS: SociologyFOS: Economics and business111099 Nursing not elsewhere classifiedFOS: Other engineering and technologiesSociology111708 Health and Community ServicesAnthropology111702 Aged Health Care89999 Information and Computing Sciences not elsewhere classifiedFOS: Other humanities160512 Social Policy111299 Oncology and Carcinogenesis not elsewhere classified
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Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis

2013

Functional magnetic resonance imaging (fMRI) produces data about activity inside the brain, from which spatial maps can be extracted by independent component analysis (ICA). In datasets, there are n spatial maps that contain p voxels. The number of voxels is very high compared to the number of analyzed spatial maps. Clustering of the spatial maps is usually based on correlation matrices. This usually works well, although such a similarity matrix inherently can explain only a certain amount of the total variance contained in the high-dimensional data where n is relatively small but p is large. For high-dimensional space, it is reasonable to perform dimensionality reduction before clustering.…

FOS: Computer and information sciencesDiffusion (acoustics)Computer sciencediffusion mapMachine Learning (stat.ML)02 engineering and technologycomputer.software_genreMachine Learning (cs.LG)Computational Engineering Finance and Science (cs.CE)Correlation03 medical and health sciencesTotal variation0302 clinical medicineStatistics - Machine LearningVoxel0202 electrical engineering electronic engineering information engineeringComputer Science - Computational Engineering Finance and ScienceCluster analysisdimensionality reductionta113spatial mapsbusiness.industryDimensionality reductionfunctional magnetic resonance imaging (fMRI)Pattern recognitionIndependent component analysisSpectral clusteringComputer Science - Learningindependent component analysista6131020201 artificial intelligence & image processingArtificial intelligenceDYNAMICAL-SYSTEMSbusinesscomputer030217 neurology & neurosurgeryclustering
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