Search Results - (( (state OR stat) python code analysis ) OR ( (statepoint OR statene) python code analysis ))*

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

Authors: Fachada, Nuno Fernandes, Daniel Fernandes, Carlos M. et al.

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

Subject Terms: *Experimental design, *Quantitative research, Language models, Python programming language, Generative pre-trained transformers, Benchmark problems (Computer science), Code generators

Programming models to support data science workflows

Authors: Ramón-Cortés Vilarrodona, Cristián

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

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

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: 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

File Description: application/pdf

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

Utilizing Deep Learning and Object-Based Image Analysis to Search for Low-Head Dams in Indiana, USA.

Authors: Crookston, Brian M. Arnold, Caitlin R.

Source: Water (20734441); Mar2025, Vol. 17 Issue 6, p876, 24p

Subject Terms: IMAGE analysis, WATER supply, DAMS, MODEL validation, LEARNING ability

An Improved Copula‐Based Framework for Efficient Global Sensitivity Analysis.

Authors: Liu, Hongli Clark, Martyn P. Gharari, Shervan et al.

Source: Water Resources Research; Jan2024, Vol. 60 Issue 1, p1-22, 22p

Subject Terms: SENSITIVITY analysis, GAUSSIAN mixture models, DATA envelopment analysis, PARAMETER estimation

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.

Authors: Özbey, Mehmet Furkan Turhan, Cihan

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

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

Modelling a Lab-Scale Continuous Flow Aerobic Granular Sludge Reactor: Optimisation Pathways for Scale-Up.

Authors: Siney, Melissa Salehi, Reza Hassan, Mohamed G. et al.

Source: Water (20734441); Jul2025, Vol. 17 Issue 14, p2131, 37p

Subject Terms: CONTINUOUS flow reactors, MATHEMATICAL models, COMPUTATIONAL fluid dynamics, WASTEWATER treatment, SENSITIVITY analysis, CHEMICAL oxygen demand, CHEMICAL reactors

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

Authors: Wright, Sarah N Colton, Scott Schaffer, Leah V et al.

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

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

Risk Model for Metastasis Detection of Neuroblastoma (NB)

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

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

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

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

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

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

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

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

Authors: Astvansh, Vivek Simpson, Joseph J.

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

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

Geographic Terms: UNITED States

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

Authors: Li, Jingmao Xu, Yaqing Ma, Shuangge et al.

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

Subject Terms: *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.

Authors: Cordier, Chiara Jézéquel, Pascal Campone, Mario et al.

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

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

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

Authors: Langner, Johanna Sadhukhan, Anjan Saha, Jayanta K. et al.

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

Subject Terms: *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.

Authors: Lázaro, Jorge Wongprommoon, Arin Júlvez, Jorge et al.

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

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

Effectiveness of Weight Loss Methods on Lifespan for Metabolic Syndrome

Authors: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University et al.

Contributors: Nazarbayev University School of Medicine Nazarbayev University Astana Medical University et al.

Source: 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.

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

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

Subject Terms: *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.

Authors: Ruta, Michael R Gaidici, Tony Irwin, Chase et al.

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

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

Company/Entity: OpenAI Inc.

CDL Validation Study

Authors: University Clinic for Ophthalmology and Optometry- Salzburg

Source: 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.

CLAVE: A deep learning model for source code authorship verification with contrastive learning and transformer encoders.

Authors: Álvarez-Fidalgo, David Ortin, Francisco

Source: Information Processing & Management. May2025, Vol. 62 Issue 3, pN.PAG-N.PAG. 1p.

Subject Terms: *Transformer models, Language models, Source code, Dispute resolution, Python programming language

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

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

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

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