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Articles by Czech Technical
Experimental validation of FEM-based prediction of stress-induced phase retardation in fused silica using polarimetric and interferometric measurements
Accurate prediction of stress-induced birefringence is essential for the design of high-performance optical systems in which mechanical loading can degrade polarization and wavefront quality. This work presents the verification and experimental evaluation of a finite element method (FEM)-based simulation workflow for predicting mechanically induced phase retardation in fused silica.
Dataset of construction and demolition waste images: aerated autoclaved concrete (AAC), asphalt, ceramics, and concrete
Published October 22, 2026 | Version v3 1. Czech Technical University in Prague, Faculty of Civil Engineering Image subsets: the dataset of images (RGB) of CDW materials (aerated autoclaved concrete (AAC), asphalt, ceramics, and concrete) cropped to 200x200 px. The images are annotated and split into testing and training datasets for the purposes of machine-learning models' training. Whole CDW fragments: images used for validation of algorithms - whole fragments placed on contrast background.
Perceived stress, coping strategies, HRV-based stress index, and attentional performance in tunnel control room operators: a pilot descriptive study
Abstract Safety-critical occupations place sustained demands on stress regulation, attentional functioning, and work performance under conditions of operational responsibility and time pressure. The aim of this pilot descriptive study was to examine perceived stress, coping strategies, attentional performance, and a device-generated HRV-based stress index in tunnel control room operators during a 12-h day shift.
ENBLOC: Survey-Based Database of Housing Cooperative Residents for LLM-Based Agent-Based Modelling in Czechia and Poland
This dataset contains survey-based resident data prepared within the ENBLOC research project to support the development and application of an LLM-based agent-based model (LLM-ABM) investigating collective decision-making on photovoltaic investments in housing cooperatives in Czechia and Poland. The original ENBLOC survey included respondents living in both housing cooperatives and homeowners' associations.
ENBLOC: LLM-Based Agent-Based Model of Collective Decision-Making on Photovoltaic Investments in Housing Cooperatives
This repository contains the Python implementation of an LLM-based agent-based model (LLM-ABM) developed within the ENBLOC research project to investigate collective decision-making on photovoltaic (PV) investments in housing cooperatives in Czechia and Poland.
ENBLOC: Input Data for an LLM-Based Agent-Based Model of Collective Decision-Making on Photovoltaic Investments in Housing Cooperatives
This dataset contains the input data and model parameters for the LLM-based agent-based model (LLM-ABM) developed within the ENBLOC research project to investigate collective decision-making on photovoltaic (PV) investments in housing cooperatives in Czechia and Poland. The dataset includes two country-specific input configurations, each representing a residential building with 30 agents (one agent per apartment).
Editorial: Environmental management of headwater lakes and catchments
1 Introduction Headwater systems are strongly related to environmental security. Effective management of headwater lakes and catchments requires the integration of scientific knowledge, appropriate land-use and environmental policies. Recently, headwater regions have been on the front line of ecological change and pose significant challenges for integrated land and water research, policy, and management designing.
Deep phenotyping of white matter tissue composition in dementia with Lewy bodies
Open access funding provided by Karolinska Institute. Anna Rennie has received funding from Gun och Bertil Stohnes Foundation and the Swedish Dementia Foundation (Demensfonden). Milan Nemy was supported by the Czech Science Foundation Grant No. 25-18359M.
Green roof and meteorological station dataset, CTU in Prague, Czechia
Skip to main Published September 24, 2026 | Version v1 Green roof and meteorological station dataset, CTU in Prague, Czechia Show affiliations 1. Czech Technical University in Prague Files CTU_GreenRoof_Meteo_Dataset.zip Accept all cookies Accept only essential cookies
Data for 'Microstructure, tensile behavior and cyclic bendability of directly extruded biodegradable Zn, Zn-Mg and Zn-Mg-Sr wires'
Data files for figures and figures are in the corresponding "Fig. x.zip" file. Data files for tables are in the corresponding "Table x.zip" file. Additional data files from the article are in "Other.zip" file. File names of data files consist of parts separated by an underscore: - generic name, that can contain a sample name - shortcut for the type of measurement.
Fatigue data and suplementary data for: Surface integrity, heat treatment and in-situ ageing effects on the fatigue behaviour of PBF-LB AlSi10Mg
Published September 1, 2026 | Version v1 Matusu, Martin1 Mara, Vladimir1 Papuga, Jan2, 3, 4 Rott, Matěj5 Koukolíková, Martina6 Blöchl, Wolfgang7 Koch, Jurgen7 Rosenthal, Jakub7 Roidl, Bastian Chen, Feng7 1. Czech Technical University in Prague 2. Freelancer 3. Evektor, spol. s r.o. 4. Fac. of Mech. Engng., Czech Technical University in Prague 5. COMTES FHT as 6. Comtes Fht (Czechia) 7.
Housing cooperatives and the energy transition in Poland and Czechia: ENBLOC qualitative data.
Published August 25, 2026 | Version v1 This qualitative dataset contains anonymised transcripts and notes from 61 interviews and meetings conducted in Poland and Czechia between 2023 and 2025 as part of the ENBLOC project (2021/43/I/HS4/03185). The interviews explored how housing cooperatives respond to the energy transition and rising energy prices, including their strategies, institutional relationships, internal power relations, and future roles in the transition.
Housing conditions, residents' attitudes and preferences towards investments in multi-apartment buildings in Poland and Czechia: ENBLOC survey and discrete choice experiment data
Published August 25, 2026 | Version v1 This dataset contains anonymised survey and discrete choice experiment data collected among 7,522 residents of privately owned multi-apartment buildings (belong to housing cooperatives and homeowners' associations) in Poland and Czechia as part of the ENBLOC project.
Relapse prediction and individualized treatment-effect modeling in relapsing multiple sclerosis: a systematic review
Abstract Introduction: Individualized prediction of relapse-related outcomes may support treatment selection and monitoring in relapsing multiple sclerosis. However, existing studies differ substantially in clinical purpose, target outcomes, modeling approaches, and validation strategies. Methods: We conducted a systematic review in accordance with PRISMA 2020.
CTU-HONEYEVAL-26: Infrastructure Deception Codebook, Decision Rules, and Per-Technique Assessments for MITRE ATT&CK v18.1
A dataset assessing where passive infrastructure deception can be deployed across the MITRE ATT&CK® Enterprise matrix. Every technique/tactic entry in ATT&CK v18.1 is scored on four criteria (Feasibility, Interaction, Intelligence Yield, Malice Fidelity) against a frozen rubric, with a written rationale per entry. This archive accompanies the paper: Valeros, V., Catania, C., Lisý, V., Griffioen, H. *Decoys Cannot Go Everywhere: Mapping the Deception Surface in MITRE ATT&CK*.
Hypoxia awareness and symptom dynamics under aviation-related simulated exposure
Abstract Introduction: Hypoxia poses a significant risk in aviation and other safety-critical domains, yet individual awareness and perception of hypoxic states remain highly variable. This study investigated subjective symptom perception, continuous self-assessment, hypoxia recognition, objective performance, and physiological responses during experimentally induced hypoxia.
Management of Headwater Catchments: Cultural Background, Science and Policy
OPINION article Volume 14 - 2026 | doi: 10.3389/feart.2026.1948348 Reviewed by OPINION article JK Josef Křeček 1 MG Moshe Gophen 3 1. Czech Technical University in Prague, Prague 6, Czechia 2. FAO Türkiye Food and Agriculture Organization of the United Nations (FAO), Ankara, Türkiye 3. Migal Galilee Research Institute Ltd, Qiryat Shemona, Israel Article metrics View details Abstract The management of Earth's water resources is a complex intersection of science, society, and policy (Berking, 2018).
Rust-accelerated powder X-ray diffraction simulation for high-throughput and machine-learning-driven materials science
Powder X-ray diffraction (XRD) is one of the most widely used techniques for materials characterization. Computational simulation of powder XRD patterns from known crystal structures plays a central role in phase identification, structure validation and construction of reference databases.
Dataset for "Nanosecond Laser Polishing of Laser Powder Bed Fusion Manufactured Haynes 230: Surface Quality Improvement and Surface Microstructure Evolution"
Published July 22, 2026 | Version v1 1. Czech Technical University in Prague This dataset includes relevant data and figures associated with the manuscript "Nanosecond Laser Polishing of Laser Powder Bed Fusion Manufactured Haynes 230: Surface Quality Improvement and Surface Microstructure Evolution".
Visual feedback increases expiratory muscle training effort in Parkinson’s disease: a randomised crossover trial
Background Disorders of airway protection, including impaired cough and swallowing, are clinically important complications of Parkinson’s disease. Expiratory muscle strength training (EMST) is an established non-pharmacological intervention targeting these deficits. The aim of this study was to evaluate the acute effect of visual feedback provided by the SpiroGym mHealth app on expiratory muscle activation during EMST in people with Parkinson’s disease.
Large language model analysis of real-world phone calls reveals prodromal and progressive biomarker of parkinsonism: A two-year proof-of-concept study
Loading metrics Open Access Peer-reviewed Research Article Citation: Šubert M, Illner V, Novotný M, Kouba T, Tykalová T, Šimek M, et al. (2026) Large language model analysis of real-world phone calls reveals prodromal and progressive biomarker of parkinsonism: A two-year proof-of-concept study. PLOS Digit Health 5(7): e0001458. https://doi.org/10.1371/journal.pdig.0001458 Editor: Miguel E.
Dataset for Progress in diamond CVD growth on plasma-treated ultra-flat QCM electrodes for sensing ethanol vapors
Published July 9, 2026 | Version v1 This file contains the dataset for the article Progress in diamond CVD growth on plasma-treated ultra-flat QCM electrodes for sensing ethanol vapors Name Size md5:d9e33ecd72e153c8bdef2eb7f1330b84 18.6 MB Publication: 10.1016/j.diamond.2026.113940 (DOI)
CTU-HONEY-LLM-2: Two Datasets of Shell Interactions for Fine-Tuning LLM-Based SSH Honeypots
Datasets used to fine-tune open large language models (LLMs) as interactive SSH honeypots that emulate a Linux shell. Each conversation is a multi-turn exchange between a user (attacker input) and an assistant (Linux-terminal output), teaching the model to respond to shell commands as a real terminal would. Two datasets are released: D_orig (112 conversations): the original dataset used to fine-tune the GPT-3.5 model and a QLoRA Llama 3.1 8B.
Fusing geostationary satellite cloud properties with signal attenuation from microwave links for rain detection
Status: this preprint is open for discussion and under review for Hydrology and Earth System Sciences (HESS). Status: open (until 28 Sep 2026) Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse Please provide a reason why you see this comment as being abusive. You might include your name and email but you can also stay anonymous. Please provide a reason why you see this comment as being abusive. Please confirm reCaptcha.
The FABEST database: A benchmark fatigue dataset on 42CrMo4 +QT steel
Published June 27, 2026 | Version v260627 Papuga, Jan (Contact person)1 Matusu, Martin (Researcher)2 Pejkowski, Łukasz (Researcher)3 Čapek, Jiří (Researcher)2 Fojtik, Frantisek (Researcher)4 Nesládek, Martin (Researcher)2 Freytag, Koenraad (Researcher)5 Muniz-Calvente, Miguel (Researcher)6 Díaz Salamanca, Diego (Researcher)6 Karolczuk, Aleksander (Researcher)7 Trefil, Antonín (Researcher)4 Mara, Vladimir (Researcher)2 Halama, Radim (Researcher)4 Kořínek, Michal (Researcher)4 Tezel, Tugce...
Analog optical X-haul in cell-free network architecture for 6G
Functional splitting in next-generation mobile networks enables new opportunities for millimeter wave radio over fiber systems. Since a cell-free network architecture is a possible way to enable uniform high data rates, we propose a scalable optical full-duplex crosshaul with simplified radio units, where a low-cost directly modulated laser transmits a 1.5 GHz intermediate frequency uplink signal.
Quantitative analysis of light-induced ion segregation in mixed-halide perovskites
Metal halide perovskites have attracted significant attention in recent years due to their exceptional properties, such as long carrier lifetime (Dequilettes et al., 2016; Ahmed et al., 2018) and high photoluminescence quantum yields (Sutter-Fella et al., 2016; Ahmed et al., 2018; De Roo et al., 2016; Kroupa et al., 2018).
Polymer-based biopotential electrode-leadwire prototype for ECG sensing during X-ray and CT examinations
Abstract Introduction: Continuous ECG monitoring during X-ray and CT examinations is crucial for critically ill patients; however, standard Ag/AgCl electrodes and metallic leadwires generate image artifacts that may compromise diagnostic quality. This study aimed to develop and evaluate a non-metallic, radiolucent polymer-based ECG electrode–leadwire system enabling artifact-free ECG sensing during radiological imaging.
Stakeholders' perspectives on HIV prevention in the Czech Republic: a qualitative study
Abstract Introduction: The present study explores stakeholder perspectives on HIV prevention in the Czech Republic, with a focus on perceived gaps and priorities in current strategies. Methods: Semi-structured interviews were conducted with 11 institutional stakeholders, including representatives of governmental institutions, non-governmental organizations, healthcare providers, insurers, and the pharmaceutical sector.
Dual-View Weakly-Supervised Learning for Apple Tree Flower Counting
ORIGINAL RESEARCH article Volume 17 - 2026 | doi: 10.3389/fpls.2026.1869941 Reviewed by ORIGINAL RESEARCH article MV Martin Vitousek 1 JV Jan Vrba 1 MC Matous Cejnek 1 1. Czech Technical University in Prague, Prague 6, Czechia 2. Vyzkumny a slechtitelsky ustav ovocnarsky Holovousy sro, Hořice, Czechia Article metrics View details Abstract This paper presents a method to estimate apple tree flower cluster count using image analysis techniques.
Rumunští Češi se nikdy nevzdají, míní dokumentaristka
Hodinu a půl dlouhý snímek režisérky Jiřiny Šimkové vznikal z hlubokého obdivu k tamním lidem. Dokument nemá být jen strohým popisem historie, je naopak mozaikou přibližně třiceti lidských příběhů. „Ne všechny, které jsme zachytili na kameru, se do filmu dostaly. To ale neznamená, že zůstanou v šuplíku,“ naznačila tvůrkyně možné pokračování. „Zpovídaní lidé poznali, že úcta a vděk, které k nim cítíme, je upřímná. Tuto opravdovost nám sami předali,“ dodala.
Data described in the article "Characterization of the Human Blood GroupGlycosyltransferases GTA and GTB for theSynthesis of Blood Group Antigens"
Published April 17, 2026 | Version v1 Dataset Open Pöstges, Katja Palm, Philip Hussnaetter, Kai P. Filipová, Eliška Pelantová, Helena Petrásková, Lucie1 Bojarová, Pavla2, 3 Kren, Vladimir Elling, Lothar4, 5 1. The Czech Academy of Sciences 2. Czech Technical University in Prague 3. Institute of Microbiology of the Czech Academy of Sciences 4. RWTH Aachen University 5.
Dataset of "Investigation of Electrical and Acoustic Impedance with Volumetric Deformation of a Li-ion Cell Under Varying State of Charge"
Published April 16, 2026 | Version v2 Dataset Open A Lithium-polymer pouch cell was characterized over one charge and discharge using three different characterization methods. The set comprised electrochemical impedance spectroscopy (EIS), strain-gauge measurement, and pulse-echo ultrasound.
Innovations in repetitive transcranial magnetic stimulation: a review of clinical evidence and patient-reported outcomes for ExoTMS
Abstract Introduction: Transcranial magnetic stimulation (TMS) is a non-invasive neuromodulation technique with demonstrated efficacy in the treatment of multiple psychiatric and neurological disorders. ExoTMS represents an evolution in TMS system design, developed to optimize focused brain stimulation while enhancing patient comfort and operational efficiency.
Referenční plochy pro letecký bezpilotní radiometrický průzkum - databáze výsledků
Strojově čitelná sada podkladových dat pro realizaci výsledků projektu. Rekognoskace.zip - Databáze bodových in-situ gamaspektrometrických měření z rekognoskační fáze projektu ve formátu GeoJSON.
Graph Neural Network for Boolean Satisfiability (SAT) solving using message passing on variable-clause graphs. Dataset for Article "Neural approaches to SAT solving: Design choices and interpretability" and PhD Thesis "Graph Neural Networks for Constraint
Published March 23, 2026 | Version v1 Dataset Open 1. University of Ostrava 1. University of Ostrava 2. Czech Institute of Informatics, Robotics and Cybernetics, Czech Technical University in Prague, Czechia 3.
Homogenization With Guaranteed Bounds via Primal-Dual Physically Informed Neural Networks
L.Gaynutdinova, O.Rokoš, M.Doškář, and I.Pultarová, “Homogenization With Guaranteed Bounds via Primal-Dual Physically Informed Neural Networks,” International Journal for Numerical Methods in Engineering127, no. 6 (2026): e70302, https://doi.org/10.1002/nme.70302. 1 Introduction Accurately modelling the effective behaviour of materials with complex microstructures is crucial in various scientific and engineering domains.
Cost-utility analysis of home mechanical ventilation compared to hospital settings in patients with chronic obstructive pulmonary disease
Koblížek V, Chlumský J, Zindr V, Neumannová K, Zatloukal J, Kociánová J, et al. Doporučený postup ČPFS pro diagnostiku a léčbu stabilní CHOPN. Česká pneumologická a ftizeologická společnosti ČLS JEP; 2016. Zatloukal J, Brat K, Neumannova K, Volakova E, Hejduk K, Kocova E, et al. Chronic obstructive pulmonary disease - diagnosis and management of stable disease; a personalized approach to care, using the treatable traits concept based on clinical phenotypes. Biomedical Papers. 2020;164:325–56.
FAIR data pro benchmarking netradičních metod měření srážek
Published March 12, 2026 | Version v1 Presentation Open 1. Czech Technical University in Prague Prezentace z Open Science Weeku 2025 (10.-12. listopadu 2025) pořádaného Pracovní skupinou Open Science při AKVŠ.
Research Objective No. 1 - Increasing the Quality of Interactive Traffic Simulations Using Parallel Testing
Published March 9, 2026 | Version 1 Dataset Open This research objective focuses on improving the fidelity, realism, and applicability of interactive traffic simulations through parallel testing, where identical scenarios are examined both in real‑world conditions and in photorealistic virtual environments.
Research Objective No. 2 - Safety Analysis of Vulnerable Road Users in Urban Environments
Published March 9, 2026 | Version 1 Dataset Open This research objective investigates the behaviour, risk exposure, and safety‑critical interactions of Vulnerable Road Users (VRUs) - pedestrians, cyclists, and users of micromobility—in complex urban environments. The primary study area is the U SMART ZONE polygon in Ústí nad Labem, complemented by additional urban locations across the Czech Republic to examine regional behavioural differences.
Research Objective No. 3 - Automatic Detection and Vectorization of Transport Infrastructure Elements from Raster Orthophotos
This research objective focuses on the development and testing of a tool for the automatic detection of selected transport infrastructure elements, including the determination of their spatial and elevation coordinates. The main outcome will be a testing interface for an algorithm designed to automate the processing of heterogeneous datasets used in creating digital environment models, achieving significant time and cost savings while improving quality and accuracy compared to manual processing.
A Systematic Framework for Intelligent Blast Furnace Operation : From Multimodal Sensing to Autonomous Control
Hyppää sisältöön Zhou, Guanwei (2026-03-06) sv=Åbo Akademi|en=Åbo Akademi University| This publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited. Julkaisun pysyvä osoite on https://urn.fi/URN:ISBN:978-952-12-4671-5 Kuvaus navigointi mahdollista Tiivistelmä The blast furnace is the core process of an integrated steel plant but also the most energy- and carbon-intensive unit in the steel industry.
Correction: Improvement of the left atrial systolic function after a surgical reduction of the high flow arteriovenous fistula
Author Marian Rybar was erroneously spelled as Martin Rybar. The original version of this article has been updated. Publisher's note All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Assessing transferred energy in drone impacts using rigid impactor tests
Loading metrics Open Access Peer-reviewed Research Article Citation: Svatý Z, Vrtal P, Nouzovský L, Zlámal P, Nováček J (2026) Assessing transferred energy in drone impacts using rigid impactor tests. PLoS One 21(2): e0342560. https://doi.org/10.1371/journal.pone.0342560 Editor: Costin Daniel Untaroiu, Virginia Tech, UNITED STATES OF AMERICA Received: May 9, 2025; Accepted: January 26, 2026; Published: February 12, 2026 Copyright: © 2026 Svatý et al.
The application of diffusive uptake rates of selected volatile organic compounds on tubes for investigating the air exchange rate in dwellings
ORIGINAL RESEARCH article Volume 11 - 2025 | https://doi.org/10.3389/fbuil.2025.1655231 This article is part of the Research TopicIndoor Air Quality: Monitoring, Pollutants, and Remedial StrategiesView all 9 articles 1 Introduction The natural air exchange rate (AER) in buildings plays a crucial role in the behavior of all gaseous mixtures and aerosol particles in the indoor environment. It also mediates their transfer from the outside of buildings to their interiors and vice versa.
Dataset of "Environmental and economic assessment of battery energy storage system disposal and recycling treatment in the Czech republic"
Published February 5, 2026 | Version version 2 Dataset Open As global energy systems transition towards decarbonization and increased reliance on renewable resources, effective lifecycle management of energy storage systems is critical. Battery energy storage systems (BESSs) are key for grid stability and integrating intermittent renewables.
An equipment to control the deformation of the load-bearing structure
Published January 21, 2026 | Version v1 Dataset Open Name Size md5:ba3dfdf9e0d9857abece1c2e6d8f3c39 905 Bytes Other: An equipment to control the deformation of the load-bearing structure (Other)
FEM model of cradle of morphing mechanism
Published January 21, 2026 | Version v1 Dataset Open Name Size md5:d24760dd22bbc668a580a7c478a62816 883 Bytes Other: FEM model of cradle of morphing mechanism (Other)
On determination of aerodynamic properties of morphing wing by numerical simulations
Published January 21, 2026 | Version v1 Dataset Open Name Size md5:6dc0c599eff5a290c4211ea5426397fa 1.3 kB Other: On determination of aerodynamic properties of morphing wing by numerical simulations (Other)
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