Search Results - jana and python (source OR resource) code

Best practices and tools in R and Python for statistical processing and visualization of lipidomics and metabolomics data.

Authors: Idkowiak, Jakub Dehairs, Jonas Schwarzerová, Jana et al.

Source: Nature Communications; 9/30/2025, Vol. 16 Issue 1, p1-19, 19p

Subject Terms: LIPIDOMICS, METABOLOMICS, MASS spectrometry, PYTHON programming language, MATHEMATICAL statistics, VISUALIZATION, DATA analysis, PROGRAMMING languages

Marginalizing Sample Consensus.

Authors: Barath, Daniel Noskova, Jana Matas, Jiri

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence. Nov2022, Vol. 44 Issue 11, p8420-8432. 13p.

Subject Terms: *SOURCE code, *C++, *PYTHON programming language, *DECISION making, *ALGORITHMS

Guide assignment in single-cell CRISPR screens using crispat.

Authors: Braunger, Jana M Velten, Britta

Source: Bioinformatics. Sep2024, Vol. 40 Issue 9, p1-6. 6p.

Subject Terms: *GENETIC engineering, *FUNCTIONAL genomics, *CRISPRS, *SOURCE code, *MEDICAL screening

Open-Source Web Service with Morphological Dictionary-Supplemented Deep Learning for Morphosyntactic Analysis of Czech

Authors: Straka, Milan Straková, Jana

Index Terms: Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2406.12422

RareLink: scalable REDCap-based framework for rare disease interoperability linking international registries to FHIR and Phenopackets.

Authors: Graefe, Adam S. L. Rehburg, Filip Alkarkoukly, Samer et al.

Source: NPJ Genomic Medicine; 11/18/2025, Vol. 10 Issue 1, p1-11, 11p

An empirical study on the effectiveness of large language models for binary code understanding.

Authors: Shang, Xiuwei Fu, Zhenkan Cheng, Shaoyin et al.

Source: Empirical Software Engineering; Feb2026, Vol. 31 Issue 1, p1-38, 38p

Indoor Airborne VOCs from Water-Based Coatings: Transfer Dynamics and Health Implications †.

Authors: Růžičková, Jana Raclavská, Helena Kucbel, Marek et al.

Source: Journal of Xenobiotics; Dec2025, Vol. 15 Issue 6, p197, 29p

Subject Terms: VOLATILE organic compounds, INDOOR air quality, SICK building syndrome, HEALTH outcome assessment, HEALTH risk assessment, AQUEOUS polymeric coatings, HAZARDS

Evidence-Based Recommendations for Geriatric Trauma Care: Systematic Review and AI-Assisted Consolidation of Clinical Practice Guidelines Between 2016 and 2021.

Authors: Kocar, Thomas D. Fotteler, Marina L. Willems, Jana et al.

Source: Annals of Surgery Open; Dec2025, Vol. 6 Issue 4, p1-9, 9p

All-atom protein sequence design using discrete diffusion models.

Authors: Villegas-Morcillo, Amelia Admiraal, Gijs J. Reinders, Marcel J. T. et al.

Source: Journal of Cheminformatics; 12/1/2025, Vol. 18 Issue 1, p1-15, 15p

Subject Terms: PROTEIN engineering, AMINO acids, POST-translational modification, STOCHASTIC models

Georeferenced Sediment and Surface Water Element Concentrations in the Coastal Liepāja Lake (Latvia), 2024.

Authors: Grinfelde, Inga Valainis, Uldis Nitcis, Maris et al.

Source: Data (2306-5729); Dec2025, Vol. 10 Issue 12, p200, 10p

Subject Terms: SEDIMENT analysis, TRACE elements, POLLUTION measurement, BODIES of water, LAKES, ENVIRONMENTAL monitoring, GEOSPATIAL data

Geographic Terms: LATVIA

Benchmarking WebAssembly for Embedded Systems.

Authors: MORON, KONARD WALLENTOWITZ, STEFAN

Source: ACM Transactions on Architecture & Code Optimization; Sep2025, Vol. 22 Issue 3, p1-21, 21p

Development of a BIM-based AI-driven matching tool for LCA datasets.

Authors: Petrosa, Dino Haverkamp, Pamela Backes, Jana Gerta et al.

Source: Discover Sustainability; 11/13/2025, Vol. 6 Issue 1, p1-22, 22p

Subject Terms: ARTIFICIAL intelligence, PRODUCT life cycle assessment, SUSTAINABILITY, ECOLOGICAL assessment, SOFTWARE development tools, AUTOMATION software, BUILDING information modeling, BUILDING design & construction

Don't Complete It! Preventing Unhelpful Code Completion for Productive and Sustainable Neural Code Completion Systems.

Authors: Sun, Zhensu Du, Xiaoning Song, Fu et al.

Source: ACM Transactions on Software Engineering & Methodology; Jan2025, Vol. 34 Issue 1, p1-22, 22p

Subject Terms: LANGUAGE models, NEURAL codes, POWER resources, DEEP learning, SCIENTIFIC community

Highway traffic monitoring independent to shadows in OpenCV.

Authors: Hasal, Martin Nowakova, Jana Tomaszek, Lukas et al.

Source: AIP Conference Proceedings; 2023, Vol. 2849 Issue 1, p1-4, 4p

Subject Terms: TRAFFIC monitoring, SUNSHINE, PYTHON programming language

deepFPlearn⁺: enhancing toxicity prediction across the chemical universe using graph neural networks.

Authors: Soulios, Kyriakos Scheibe, Patrick Bernt, Matthias et al.

Source: Bioinformatics; Dec2023, Vol. 39 Issue 12, p1-4, 4p

Subject Terms: CHEMICAL testing, MOLECULAR structure, SOFTWARE compatibility, MOLECULAR weights, SOURCE code

Development and Characterization of Near-Infrared Detectable Twin Dye Patterns on Polyester Packaging for Smart Optical Tagging.

Authors: Plehati, Silvio Bernašek Petrinec, Aleksandra Bogović, Tomislav et al.

Source: Polymers (20734360); Oct2025, Vol. 17 Issue 20, p2784, 17p

Subject Terms: NEAR infrared radiation, NEAR infrared spectroscopy, POLYESTER fibers, PATTERN perception, DYE lasers, PACKAGING, OPTICAL signal detection

Opinion Pieces of the BTW 2025 Workshop On Advances in Cloud Data Management.

Alternate Title: Meinungsbeiträge des BTW-Workshops zu Entwicklungen im Cloud-Datenmanagement. (German)

Authors: Bodner, Thomas Böhm, Alexander Böther, Maximilian et al.

Source: Datenbank-Spektrum; Nov2025, Vol. 25 Issue 3, p187-195, 9p

Subject Terms: DATA management, DATA warehousing, EDITORIAL writing, DATA integration, ON-demand computing

pyCapsid: identifying dominant dynamics and quasi-rigid mechanical units in protein shells.

Authors: Brown, Colin Agarwal, Anuradha Luque, Antoni

Source: Bioinformatics; Jan2024, Vol. 40 Issue 1, p1-5, 5p

Subject Terms: SOURCE code, PROTEINS, CAPSIDS, PYTHONS

Company/Entity: MASSACHUSETTS Institute of Technology

Predicting schedule adherence of engineering changes – a case study on effectivity date adherence prediction using machine learning.

Authors: Radisic-Aberger, Ognjen Burggräf, Peter Steinberg, Fabian et al.

Source: International Journal of Production Research; Jun2025, Vol. 63 Issue 11, p3913-3937, 25p

Subject Terms: MACHINE learning, ARTIFICIAL intelligence, DEEP learning, AUTOMATED planning & scheduling, PREDICTION models

A comparison of large language models and model-driven reverse engineering for reverse engineering.

Authors: Siala, Hanan Lano, Kevin

Source: Frontiers in Computer Science; 2025, p1-14, 14p