Výsledky vyhledávání - (( (state OR stat) python code analysis ) OR ( (statene OR statey) python code analysis ))

Programming models to support data science workflows

Autoři: Ramón-Cortés Vilarrodona, Cristián

Přispěvatelé: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa M. (Rosa Maria), Ejarque Artigas, Jorge

Zdroj: TDX (Tesis Doctorals en Xarxa)

Témata: Distributed computing, High-performance computing, Data science pipelines, Task-ba workflows, Dataflows, Containers (Computer sicience), COMPSs, PyCOMPSs, AutoParallel, Docker, Àrees temàtiques de la UPC::Informàtica

Popis souboru: application/pdf

Přístupová URL adresa: http://hdl.handle.net/10803/669728
https://dx.doi.org/10.5821/dissertation-2117-330142

Analysis of accretion disc structure and stability using open code for vertical structure.

Autoři: Tavleev, A S Lipunova, G V Malanchev, K L

Zdroj: Monthly Notices of the Royal Astronomical Society. Sep2023, Vol. 524 Issue 3, p3647-3661. 15p.

Témata: *ACCRETION disks, *RADIATION, *COMPACT discs, *ACCRETION (Astrophysics), *SUPERMASSIVE black holes, *EQUATIONS of state, *STELLAR photospheres

Modelling the positive and negative interaction between mood and thermal sensation in the built environment using a combined Markov Chain Monte Carlo algorithm and Morris method.

Autoři: Özbey, Mehmet Furkan Turhan, Cihan

Zdroj: Building Services Engineering Research & Technology. Nov2025, Vol. 46 Issue 6, p737-752. 16p.

Témata: *MARKOV chain Monte Carlo, MOOD (Psychology), THERMAL comfort, SENSITIVITY analysis, PSYCHOLOGICAL factors, ENVIRONMENTAL psychology

State of the interactomes: an evaluation of molecular networks for generating biological insights.

Autoři: Wright, Sarah N Colton, Scott Schaffer, Leah V a další

Zdroj: Molecular Systems Biology. Jan2025, Vol. 21 Issue 1, p1-29. 29p.

Témata: *SYSTEMS biology, *LIFE sciences, *REGULATOR genes, *BIOLOGICAL systems, *BIOLOGICAL networks

Fast robust methods for singular state-space models.

Autoři: Jonker, Jonathan Aravkin, Aleksandr Burke, James V. a další

Zdroj: Automatica. Jul2019, Vol. 105, p399-405. 7p.

Témata: *STATE-space methods, *TIME series analysis, *KALMAN filtering, *CONSTRAINED optimization, *SOURCE code

Risk Model for Metastasis Detection of Neuroblastoma (NB)

Autoři: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Přispěvatelé: Shenzhen Children's Hospital The Children's Hospital of Zhejiang University School of Medicine Juan Ma, Associate Chief Physician of the Clinical Laboratory Department

Zdroj: Bone Marrow Cytology-based Artificial Intelligence Model for Detection and Prognosis of Neuroblastoma

DeVAIC: A tool for security assessment of AI-generated code.

Autoři: Cotroneo, Domenico De Luca, Roberta Liguori, Pietro

Zdroj: Information & Software Technology. Jan2025, Vol. 177, pN.PAG-N.PAG. 1p.

Témata: *COMPUTER software development, *ARTIFICIAL intelligence, *SECURITY management, CODE generators, SOURCE code

A Firm's Operational Risk: Data Set and Empirical Evidence.

Autoři: Astvansh, Vivek Simpson, Joseph J.

Zdroj: Manufacturing & Service Operations Management (M&SOM). Jan/Feb2026, Vol. 28 Issue 1, p326-341. 16p.

Témata: *OPERATIONAL risk, *TRANSFORMER models, *STAKEHOLDER theory, *LEGAL liability, *FINANCIAL disclosure, *EMPIRICAL research, NUMERICAL analysis

Geografický termín: UNITED States

GE-IA-NAM: gene–environment interaction analysis via imaging-assisted neural additive model.

Autoři: Li, Jingmao Xu, Yaqing Ma, Shuangge a další

Zdroj: Bioinformatics. Sep2025, Vol. 41 Issue 9, p1-9. 9p.

Témata: *CANCER research, *GENOTYPE-environment interaction, *DIAGNOSTIC imaging, *DEEP learning, *EMPIRICAL research, *COMPUTER simulation

HABiC: an algorithm based on the exact computation of the Kantorovich-Rubinstein optimizer for binary classification in transcriptomics.

Autoři: Cordier, Chiara Jézéquel, Pascal Campone, Mario a další

Zdroj: Bioinformatics. Jun2025, Vol. 41 Issue 6, p1-13. 13p.

Témata: *PREDICTION algorithms, *TRANSCRIPTOMES, *DEGREES of freedom, *INDIVIDUALIZED medicine, *MACHINE learning

An algorithm for automated extraction of resonance parameters from the stabilization method.

Autoři: Langner, Johanna Sadhukhan, Anjan Saha, Jayanta K. a další

Zdroj: Computer Physics Communications. Nov2025, Vol. 316, pN.PAG-N.PAG. 1p.

Témata: *RESONANCE, *DENSITY of states, *STATISTICAL accuracy, *EIGENANALYSIS, *PYTHON programming language, *ALGORITHMS, *DATA extraction

Enhancing genome-scale metabolic models with kinetic data: resolving growth and citramalate production trade-offs in Escherichia coli.

Autoři: Lázaro, Jorge Wongprommoon, Arin Júlvez, Jorge a další

Zdroj: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-11. 11p.

Témata: *ESCHERICHIA coli, *METABOLIC models, *CHEMICAL kinetics, *METABOLIC flux analysis, *MATHEMATICAL programming

Effectiveness of Weight Loss Methods on Lifespan for Metabolic Syndrome

Autoři: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University a další

Přispěvatelé: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University a další

Zdroj: Effectiveness of Pharmacologic, Surgical, and Dietetic Weight Loss Methods on Lifespan in Patients With Metabolic Syndrome: a Comparative Clinical Trial

Quantifying the nuclear localization of fluorescently tagged proteins.

Autoři: Hurbain, Julien Wolde, Pieter Rein ten Swain, Peter S

Zdroj: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-8. 8p.

Témata: *CONVOLUTIONAL neural networks, *MACHINE learning, *CELLULAR signal transduction, *IMAGE processing, *FLUORESCENT proteins, *CELL analysis

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research.

Autoři: Ruta, Michael R Gaidici, Tony Irwin, Chase a další

Zdroj: Journal of Medical Internet Research. 2025, Vol. 27, p1-9. 9p.

Témata: *Data analysis, *Data management, ChatGPT, Inferential statistics, Medical care research, Statistical software, Univariate analysis, Descriptive statistics

Korporace: OpenAI Inc.

CDL Validation Study

Autoři: University Clinic for Ophthalmology and Optometry- Salzburg

Zdroj: Safety and Feasibility of the Cornea DomeLens Ocular Surface Imaging System
Ang M, Cai Y, MacPhee B, Sim DA, Keane PA, Sng CC, Egan CA, Tufail A, Larkin DF, Wilkins MR. Optical coherence tomography angiography and indocyanine green angiography for corneal vascularisation. Br J Ophthalmol. 2016 Nov;100(11):1557-1563. doi: 10.1136/bjophthalmol-2015-307706. Epub 2016 Jan 28.
Steger B, Romano V, Kaye SB. Corneal Indocyanine Green Angiography to Guide Medical and Surgical Management of Corneal Neovascularization. Cornea. 2016 Jan;35(1):41-5. doi: 10.1097/ICO.0000000000000683.
McMonnies CW, Chapman-Davies A. Assessment of conjunctival hyperemia in contact lens wearers. Part I. Am J Optom Physiol Opt. 1987 Apr;64(4):246-50. doi: 10.1097/00006324-198704000-00003.
Bron AJ, Evans VE, Smith JA. Grading of corneal and conjunctival staining in the context of other dry eye tests. Cornea. 2003 Oct;22(7):640-50. doi: 10.1097/00003226-200310000-00008.
Guthoff RF, Baudouin C, Stave J. Atlas of Confocal Laser Scanning In-Vivo Microscopy in Ophthalmology. Springer; 2007
Krachmer JH, Mannis MJ, Holland EJ. Cornea. In: Vol I. 3rd Edition. Mosby Elsevier; 2011.
Steger B, Romano V, Jesacher A, et al. Ocular Surface Photography 2.0 -Curved Object Plane For Corneal Imaging. Appl Opt. in press 2017
Efron N. Grading scales for contact lens complications. Ophthalmic Physiol Opt. 1998 Mar;18(2):182-6. doi: 10.1016/s0275-5408(97)00066-5.

PLangRec: Deep-learning model to predict the programming language from a single line of code.

Autoři: Rodriguez-Prieto, Oscar Pato, Alejandro Ortin, Francisco

Zdroj: Future Generation Computer Systems. May2025, Vol. 166, pN.PAG-N.PAG. 1p.

Témata: *NATURAL language processing, *PROGRAMMING languages, DEEP learning, WEB-based user interfaces, SOURCE code

HGAN4VD: Leveraging Heterogeneous Graph Attention Networks for enhanced Vulnerability Detection.

Autoři: Zhang, Yucheng Ju, Xiaolin Chen, Xiang a další

Zdroj: Computers & Security. Oct2025, Vol. 157, pN.PAG-N.PAG. 1p.

Témata: DEEP learning, GRAPH neural networks, FEATURE extraction, PENETRATION testing (Computer security)

NFEmbed: modeling nitrogenase activity via classification and regression with pretrained protein embeddings.

Autoři: Nafi, Md Muhaiminul Islam Mohaimin, Abdullah Al

Zdroj: Bioinformatics Advances. 2025, Vol. 5 Issue 1, p1-17. 17p.

Témata: *NITROGENASES, *MACHINE learning, *CROP yields, *MICROBIOLOGY, *ENSEMBLE learning, *GENOMICS, *BIOFERTILIZERS

Development of a Novel Risk Prediction Tool for Emergency Department Patients Symptoms of Coronary Artery Disease

Autoři: Network of Canadian Emergency Researchers (NCER) Canadian Emergency Department Research Network Canadian Instistutes of Health Research

Zdroj: Development of a Novel Risk Prediction Tool for Emergency Department Patients Symptoms of Coronary Artery Disease
McRae AD, Macci AJ, Holodinsky JK, Sajobi TT, Andruchow JE, Borgundvaag B, Brooks S, Cheng I, Deb S, Fok P, Kavsak PA, Graham MM, Lee J, McLeod SL, Scheuermeyer F, Thiruganasambandamoorthy V, Wiemer H, Yan JW, Hohl CM. Development of a Novel Risk-Prediction Tool for Emergency Department Patients with Symptoms of Coronary Artery Disease: A Research Study Protocol. CJC Open. 2025 Mar 26;7(6):777-783. doi: 10.1016/j.cjco.2025.03.016. eCollection 2025 Jun.