Výsledky vyhledávání - (( (statenene OR stat) python code analysis ) OR ( (statpoint OR stateee) python code analysis ))*

Py Code for Stats and Vis in Isotopic Evidence for Interseasonal Bioaccumulation of Perfluoroalkyl Substances (PFASs) in Icelandic seabirds

Autoři: Shen, Rui Larsen, Thomas

Relation: https://zenodo.org/records/10120463; oai:zenodo.org:10120463; https://doi.org/10.5281/zenodo.10120463

Dostupnost: https://doi.org/10.5281/zenodo.10120463
https://zenodo.org/records/10120463

Prediction of Positive Patient Health Questionnaire-2 Screening Using Area Deprivation Index in Primary Care.

Autoři: Duarte, Martha Salamanca, Mayra Gonzalez, Juan M. a další

Zdroj: Clinical Nursing Research. Jun2024, Vol. 33 Issue 5, p355-369. 15p.

Témata: *MENTAL depression risk factors, *RISK assessment, *PREDICTION models, *SOCIAL determinants of health, *RECEIVER operating characteristic curves, *QUESTIONNAIRES, *PRIMARY health care, *RETROSPECTIVE studies, *QUANTITATIVE research, *DESCRIPTIVE statistics, *NURSING interventions, *SURVEYS, *HEALTH behavior, *MEDICAL records, *ACQUISITION of data, *SOCIODEMOGRAPHIC factors, *MACHINE learning, *DATA analysis software, *ACCURACY, *COMPARATIVE studies, *SOCIAL classes, *SENSITIVITY & specificity (Statistics), *SOCIAL isolation, *ALGORITHMS, *REGRESSION analysis, *MENTAL depression, *EVALUATION

Geografický termín: FLORIDA

Prediction of Chemically Modified Antimicrobial Peptides and Their Sub-functional Activities Using Hybrid Features.

Autoři: Yao Y Zhang D Fan H a další

Zdroj: Probiotics and antimicrobial proteins [Probiotics Antimicrob Proteins] 2025 May 21. Date of Electronic Publication: 2025 May 21.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: United States NLM ID: 101484100 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1867-1314 (Electronic) Linking ISSN: 18671306 NLM ISO Abbreviation: Probiotics Antimicrob Proteins Subsets: MEDLINE

Expert Python Programming – Fourth Edition : Master Python by Learning the Best Coding Practices and Advanced Programming Concepts

Autoři: Michał Jaworski Tarek Ziade Tarek Ziadé

Resource Type: eBook.

Témata: Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Software Development & Engineering / Systems Analysis & Design, COMPUTERS / Internet / Application Development

Time to antiviral treatment in mild-moderate COVID-19 in the emergency department: influence of prescribing physician and effect on outcomes.

Autoři: Rodríguez-Leal CM González Del Castillo J Llorens P a další

Korporace: Rodríguez-Leal CM González Del Castillo J Llorens P a další

Zdroj: Internal and emergency medicine [Intern Emerg Med] 2025 Apr 21. Date of Electronic Publication: 2025 Apr 21.

Způsob vydávání: Journal Article

Informace o časopise: Publisher: Springer Country of Publication: Italy NLM ID: 101263418 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1970-9366 (Electronic) Linking ISSN: 18280447 NLM ISO Abbreviation: Intern Emerg Med Subsets: MEDLINE

Data from: A strong test of the Maximum Entropy Theory of Ecology

Autoři: Xiao, Xiao Aravajy, S. Baribault, Thomas W. a další

Zdroj: 10.5061/dryad.5fn46 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:easy.dans.knaw.nl:easy-dataset:86630 ; oai:figshare.com:article/4152633 ; 10.5061/dryad.5fn46/1 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|re3data_____::7980778c78fb4cf0fab13ce2159030dc ; 10|openaire____::081b82f96300b6a6e3d282bad31cb6e2 ; re3data_____::r3d100000044 ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c

Témata: species abundance distribution, size distributions, trees, Life sciences, medicine and health care, Genetics, Evolutionary Biology, Ecology, Inorganic Chemistry, Science Policy, 69999 Biological Sciences not elsewhere classified, 19999 Mathematical Sciences not elsewhere classified, 29999 Physical Sciences not elsewhere classified, subset, data product, Python code, al, Xiao, Maximum Entropy Theory, analyses, dataset, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Physical Sciences not elsewhere classified, envir, stat

Relation: http://dx.doi.org/10.5061/dryad.5fn46; https://dx.doi.org/10.5061/dryad.5fn46; https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633; http://dx.doi.org/10.5061/dryad.5fn46/1; https://dx.doi.org/10.5061/dryad.5fn46/1

Dostupnost: https://doi.org/10.5061/dryad.5fn46
https://figshare.com/articles/Data_from_A_strong_test_of_the_Maximum_Entropy_Theory_of_Ecology/4152633
https://doi.org/10.5061/dryad.5fn46/1

Statistical Learning Using Neural Networks : A Guide for Statisticians and Data Scientists with Python

Autoři: Basilio de Braganca Pereira Calyampudi Radhakrishna Rao Fabio Borges de Oliveira

Resource Type: eBook.

Témata: Computational learning theory, Statistics--Methodology, Python (Computer program language), Statistics--Data processing, Multivariate analysis--Data processing, Neural networks (Computer science)

Categories: BUSINESS & ECONOMICS / Statistics, COMPUTERS / Data Science / Data Analytics, COMPUTERS / Machine Theory, MATHEMATICS / Probability & Statistics / General

Primary data for BJC Carbonic anhydrase IX is a pH-stat that sets an acidic tumour extracellular pH in vivo

Autoři: Griffiths, JR Lee, Shen-Han McIntyre, Dominick John a další

Témata: Carbonic anhydrase IX, Extracellular pH, Intracellular pH, ISUCA, Magnetic Resonance Spectroscopy, MRS, pH-stat, Tumour pH

Popis souboru: jMRUI http://www.jmrui.eu/ python www.python.org Excel; application/vnd.openxmlformats-officedocument.spreadsheetml.sheet; application/octet-stream

Relation: https://www.repository.cam.ac.uk/handle/1810/361916; https://doi.org/10.17863/CAM.26029

Dostupnost: https://www.repository.cam.ac.uk/handle/1810/361916
https://doi.org/10.17863/CAM.26029

Advanced Interdisciplinary Applications of Machine Learning Python Libraries for Data Science

Autoři: Soly Mathew Biju Ashutosh Mishra Manoj Kumar

Resource Type: eBook.

Témata: Computer programming, Quantitative research--Data processing, Python (Computer program language), Machine learning

Categories: COMPUTERS / Artificial Intelligence / General, COMPUTERS / Data Science / General, COMPUTERS / Languages / Python

Mastering Python : Write Powerful and Efficient Code Using the Full Range of Python's Capabilities

Autoři: Rick van Hattem

Resource Type: eBook.

Témata: Python (Computer program language)

Categories: COMPUTERS / Languages / Python

Testing Gaussian process with applications to super-resolution

Autoři: Azaïs, Jean-Marc de Castro, Yohann Mourareau, Stéphane a další

Přispěvatelé: Azaïs, Jean-Marc de Castro, Yohann Mourareau, Stéphane a další

Zdroj: Applied and Computational Harmonic Analysis. 48:445-481

Témata: FOS: Computer and information sciences, [MATH.MATH-PR] Mathematics [math]/Probability [math.PR], Computer Science - Information Theory, Gaussian processes, super-resolution, Mathematics - Statistics Theory, Kac-Rice formula, Statistics Theory (math.ST), 01 natural sciences, Parametric hypothesis testing, 94A08, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], 62J05, [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], hypothesis testing, FOS: Mathematics, 62F03, 0101 mathematics, Gaussian process, [MATH.MATH-ST] Mathematics [math]/Statistics [math.ST], 62H15, secondary 60E05, Super-Resolution, Information Theory (cs.IT), Probability (math.PR), MSC 2010 subject classifications: Primary 62E15, Hypothesis Testing, [STAT.ML] Statistics [stat]/Machine Learning [stat.ML], [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [INFO.INFO-IT]Computer Science [cs]/Information Theory [cs.IT], 60G15, 62E15, 62F03, 60G15, 62H10, 62H15 (Primary) 60E05, 60G10, 62J05, 94A08 (secondary), [INFO.INFO-IT] Computer Science [cs]/Information Theory [cs.IT], Gaussian Process, Image processing (compression, reconstruction, etc.) in information and communication theory, 62H10, 60G10, Mathematics - Probability

Popis souboru: application/xml; application/pdf

Přístupová URL adresa: https://www.sciencedirect.com/science/article/am/pii/S1063520318301556
http://arxiv.org/abs/1706.00679
https://zbmath.org/7140143
https://doi.org/10.1016/j.acha.2018.07.001
https://inria.hal.science/hal-01686434v1/document
https://inria.hal.science/hal-01686434v1
https://hal.science/hal-04955851v1
https://doi.org/10.1016/j.acha.2018.07.001

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries.

Autoři: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. a další

Zdroj: Future Internet; Sep2025, Vol. 17 Issue 9, p412, 28p

Témata: LANGUAGE models, EXPERIMENTAL design, PYTHON programming language, GENERATIVE pre-trained transformers, QUANTITATIVE research, BENCHMARK problems (Computer science), CODE generators

TRIQS/SOM 2.0: Implementation of the stochastic optimization with consistent constraints for analytic continuation.

Autoři: Krivenko, Igor Mishchenko, Andrey S.

Zdroj: Computer Physics Communications. Nov2022, Vol. 280, pN.PAG-N.PAG. 1p.

Témata: *PYTHON programming language, *GREEN'S functions, *MAXIMUM entropy method, *COVARIANCE matrices, *STATISTICAL ensembles, *PROGRAMMING languages, *REGULARIZATION parameter

Think Bayes

Autoři: Allen B. Downey

Resource Type: eBook.

Témata: Python (Computer program language), Bayesian statistical decision theory--Data processing

Categories: MATHEMATICS / Probability & Statistics / Bayesian Analysis, COMPUTERS / Data Science / General, COMPUTERS / Languages / Python, COMPUTERS / Mathematical & Statistical Software, COMPUTERS / Data Science / Machine Learning

CLM App: Interlamellar Distance of Pearlite via CLM Revisited and Automated.

Autoři: Zouhar, Martin Mikmeková, Šárka Hovjacký, Jan a další

Zdroj: Materials (1996-1944); Feb2026, Vol. 19 Issue 3, p635, 17p

Témata: AUTOMATION, IMAGE analysis, QUALITY control, MICROSTRUCTURE

A statistical approach to automated analysis of the low‐contrast object detectability test for the large ACR MRI phantom.

Autoři: Golestani, Ali M. Gee, Julia M.

Zdroj: Journal of Applied Clinical Medical Physics; Jul2025, Vol. 26 Issue 7, p1-9, 9p

Témata: LINEAR statistical models, IMAGING phantoms, QUALITY control, PYTHON programming language, MAGNETIC resonance imaging

Data from: A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

Autoři: Ince, Robin A. A. Giordano, Bruno L. Kayser, Christoph a další

Zdroj: oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10.5061/dryad.8b146 ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:92256 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; re3data_____::r3d100000044 ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::94816e6421eeb072e7742ce6a9decc5f ; 10|opendoar____::8b6dd7db9af49e67306feb59a8bdc52c

Témata: Life sciences, medicine and health care, face, EEG, multivariate, planar gradient, mutual information, meg, n170, statistics, neuroimaging, stat, psy

Relation: http://dx.doi.org/10.5061/dryad.8b146; https://dx.doi.org/10.5061/dryad.8b146

Dostupnost: https://doi.org/10.5061/dryad.8b146

The state of the late Quaternary megafauna extinction debate: a systematic review and analysis.

Autoři: Stewart, Mathew Peters, Carli Ziegler, Michael J. a další

Zdroj: Frontiers in Mammal Science. 2025, p1-27. 27p.

Learning Python : Powerful Object-Oriented Programming

Autoři: Mark Lutz

Resource Type: eBook.

Témata: Python (Computer program language)

Categories: COMPUTERS / Languages / Python, COMPUTERS / Programming / Object Oriented, COMPUTERS / Software Development & Engineering / Tools, COMPUTERS / Internet / Web Programming

Economic and Veterinary Evaluation of Pet Insurance in Türkiye: Potential, Role in Health, and Impact on Practice.

Autoři: GENÇGÖNÜL, Betül Zehra¹ betul.zehra@hacettepe.edu.tr

Zdroj: Kafkas Üniversitesi Veteriner Fakültesi Dergisi. Jan/Feb2026, Vol. 32 Issue 1, p147-153. 7p.