Tomas Bata University in Zlín
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Assessment the effectiveness of central crisis management at Charles University during the 2023 active shooter incident: a thematic analysis
This study provides a comprehensive analysis of the Central Crisis Management Team’s response at Charles University during the active shooter incident on December 21, 2023. Utilizing a qualitative and comparative methodological approach, this research systematically examines official records, meeting minutes, and interviews with key stakeholders to assess the effectiveness of crisis management practices. Thematic analysis was employed to identify and categorize the crisis management strategies into phases as outlined by the Czech Ministry of the Interior’s guidelines for handling soft target incidents (Ministry of the Interior, 2016). The findings reveal significant alignment with prescribed protocols during the initial response phase and identify an opportunity to expand the protocols to encompass additional thematic areas as the situation progressed. Building on these findings, the study concludes with actionable recommendations aimed at improving communication systems, integrating psychological support, and enhancing crisis preparedness at educational institutions. These recommendations, detailed in the Conclusion, offer a framework for strengthening security protocols and response strategies in academic settings.CzechELib Transformative Agreemen
Simulation-based metrological temperature ensuring and control of the temperature field in an induction furnace based on various parameters
Induction heating is widely used in industrial furnaces because of its rapid response time and high energy efficiency. To design and optimize these furnaces, computer-aided simulations are essential. This study aims to develop an accurate temperature field model for a square cross-section steel billet in an induction furnace by leveraging various parameters in COMSOL Multiphysics software. The simulation analysis incorporated temperature dynamics, considering skin depth, temperaturedependent, and constant parameters of the steel billet. The datadriven model was converted into a state-space representation utilizing MATLAB's System Identification Toolbox. This conversion facilitated the design of a Linear Quadratic Regulator (LQR) with integral gain and pole placement. Further, these controllers' performance was analyzed, and controllers were successfully implemented to regulate the temperature field of the billet from initial temperature to reference temperature, utilizing the distributed parameter system control circuit.Slovenská technická univerzita v Bratislave, STU; Agentúra na Podporu Výskumu a Vývoja, APVV, (APVV-21-0216, APVV-21-0195, APVV-22-0436); Agentúra na Podporu Výskumu a Vývoja, APVV; Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky, (KEGA-024STU-4/2023); Ministerstvo školstva, vedy, výskumu a športu Slovenskej republiky; Vedecká Grantová Agentúra MŠVVaŠ SR a SAV, VEGA, (1/0675/22); Vedecká Grantová Agentúra MŠVVaŠ SR a SAV, VEGAFaculty of Mechanical Engineering, Slovak University of Technology in Bratislava, Slovak Research and Development Agency [APVV-21-0195, APVV-21-0216, APVV-22-0436]; Cultural and Educational Grant Agency of the Ministry of Education of Slovak Republic [KEGA-024STU-4/2023, VEGA 1/0675/22, 21NRM05
Comparative analysis of legal texts for German as a second and foreign language learners: Comparing official documents, guides, and textbooks
Plain language is often used to enhance accessibility and ease of understanding for a broader audience, including individuals with various language proficiency levels. The aim of this chapter is to conduct a comparative analysis of legal texts from different sources, all focusing on the topic of food allergens: a textbook of German as a foreign or second language, an online legal guide aimed at the general public, and an official legal text. This comparison observes the differences in presentation, means of simplification, and content among these sources. We focus on understanding how texts simplify complex legal information, what elements remain consistent, and what changes are introduced
Implementing call bots: An architectural guide
This paper proposes an architectural and technological recommendation for constructing a call bot to access the possibility of interaction with generative AI in the form of large language models via standard GSM-transferred phone calls. In an effort to establish a loose template to guide business-oriented call bot implementations, a real-time voice-processing pipeline was established and thoroughly described using a selection of commercially available AI-based technologies and their interconnection, resulting in the creation of a prototype application. The paper further explains the roles of used technologies and their usage, illustrates the used architecture, and evaluates our solution’s actual business-case success performance compared to openly available generic call automatons.The research presented in this paper was supported by: the Internal Grant Agency of the Tomas Bata University in Zlin-IGA/CebiaTech/2023/004, and resources of A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz). The described call bot implementation was achieved in cooperation with the company Blogic s.r.o., using production use-case data provided by one of its partners. All data used for evaluation have been thoroughly anonymized, and authors were permitted to publish this information by the company\u2019s management.Internal Grant Agency of the Tomas Bata University in Zlin [IGA/CebiaTech/2023/004]; Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz
Regarding context size in LLM-based metaheuristic design
The recent and rapid progress in large language models (LLMs) has markedly influenced research efforts in the automated design and configuration of metaheuristic algorithms. A common limitation of contemporary LLMs is their finite context window, which constrains the amount of information they can effectively utilize during generation. In this study, we investigate the role of conversational context in the metaheuristic design process. This study explores two distinct aspects of LLM-based metaheuristic design: (1) the effect of conversational context on the performance of generated optimizers, and (2) its influence on the validity of generated code. Both are investigated using the EASE framework. The findings yield several unexpected insights, which are discussed in detail in the paper, offering a deeper understanding of how context affects the reliability and effectiveness of LLM-assisted algorithm generation.The research presented in this paper was partially supported by the Internal Grant Agency of Tomas Bata University in Zlin under project number IGA/CebiaTech/2023/004, and by resources of the A.I.Lab at the Faculty of Applied Informatics, Tomas Bata University in Zlin (ailab.fai.utb.cz). Additional support was provided by the Polish Ministry of Education and Science funds assigned to AGH University of Krakow, and further by program \u201CExcellence initiative\u2014research university\u201D for the AGH University in Krakow as well as the ARTIQ project
Efficient software development effort estimation approaches for improving scalability in the training phase
Effective software effort estimation is essential for project management, but faces scalability challenges with large datasets. While clustering can address this complexity, standard methods often rely on random initial centers, leading to inconsistent and less precise results. This randomness frequently overlooks critical contextual factors, such as industry or domain-specific characteristics, which can impair cluster quality and the accuracy of effort predictions. To overcome these issues, this study introduces the Contextual Initial Cluster Centroids (CICC), a novel methodology designed to optimize initial centroid selection. Unlike approaches that depend on randomness or are computationally intensive, CICC uses parallel processing of Jaccard similarity and a refined neighbor-finding technique, K-Reciprocal Nearest Neighbors (KRNN), to identify the most relevant and similar projects as initial centers. This deterministic approach ensures clusters are built around meaningful, context-rich representatives, reducing computations and improving scalability. Experiments on public software project datasets show that CICC significantly outperforms existing techniques. It achieves higher cluster quality, measured by metrics like the Global Silhouette Index, and provides more accurate effort estimates, indicated by lower MAE and higher PRED values. By establishing a more robust and efficient foundation for effort estimation, CICC offers considerable potential to optimize project planning and resource allocation in large-scale software development.This work was supported by the Faculty of Applied Informatics, Tomas Bata University, Zl\u00EDn, under Project RO30246061025/2102.Faculty of Applied Informatics, Tomas Bata University, Zlin [RO30246061025/2102
Exploring the absorbable hemostats' reaction using ATR THz time-domain spectroscopy
This article describes the measurement, analysis and modelling of the absorbable hemostats' kinetic reaction using the THz ATR spectroscopy. As the hemostats are of various origin, their mechanism of action and consequently, their appropriate applications may differ. Two liquid media, physiological saline solution (PSS) and the human blood, were used to initiate the observed dynamic reaction. The time-dependent changes in the measured THz response reflect the reaction kinetics of the materials. Based on the results, the reaction rate is compared among different materials.Internal Excellence Project of the Faculty of Applied Informatics, Tomas Bata University, Zlin [RVO/CEBIA/2024/003
Mixed open-loop / closed-loop control of a slow sampled water supply system
This paper deals with control of stand-alone water supply system for a small clearing-based settlement. The sensorics system works with very long sampling period and therefore the system is so-called slow sampled. The paper presents a design of control algorithm as well as hardware and software design of the controller itself.The work was supported by grant from the Technology Agency of the Czech Republic, identification code TK04020222 \"Decentralisation of energy sources in an existing district heating system\". This support is greatly appreciated.Technology Agency of the Czech Republic [TK04020222
How do social media influencers and green knowledge sharing on social media promote tourists’ revisiting behavioural intentions? A time-lagged study
In the circular economy, the existing literature on tourism and marketing has revealed very few studies investigating how firms’ green knowledge-sharing policies drive travellers’ revisiting behavioural intention, constituting a significant gap that needs to be studied. Drawing on the service-dominant logic theory, this study unravels (a) the multiple mediating roles of pro-environmental behaviours and warm glow and (b) the moderated mediation role of green trustworthiness of social media influencer in the relationship between green knowledge sharing and revisiting behavioural intention. A quantitative study was employed based on time-lagged survey data collected from 1,694 respondents in Vietnam. The research findings support our prediction that two variables, travellers’ pro-environmental behaviours and warm glow, can mediate the relationship between a firm’s green knowledge sharing and travellers’ revisiting behavioural intention. Additionally, the study finds that the green trustworthiness of social media influencers can moderate the mediating relationship (via pro-environmental behaviours). However, unexpectedly, green trustworthiness does not moderate the mediating relationship via a warm glow. These findings are critical to contributing to the business implications, focusing on using online strategies and green knowledge sharing by social media influencers to foster responsible tourism and enhance green marketing, ultimately aiding sustainable development
Self-crosslinkable bacterial cellulose/chitosan/pectin injectable hydrogels: Design, characterization and preliminary biological performance
In this study, multifunctional polysaccharide-based injectable hydrogels were developed using chitosan (CS) and dialdehyde bacterial cellulose (D-BC), interpenetrated with pectin (PT). The hydrogels exhibited rapid gelation, good water retention, and injectability under physiological conditions. Comprehensive characterization was performed to assess their chemical structure, internal morphology, thermal stability, and rheological behavior. The formation of dynamic Schiff base bonds between amine groups of CS and aldehyde groups of D-BC facilitated efficient crosslinking, resulting in rapid gelation and favorable swelling properties. The hydrogels also demonstrated shear-thinning behavior, contributing to their injectable and self-supporting characteristics. In vitro biocompatibility was evaluated over 21 days using gingival mesenchymal stem cells (GMSCs), with all formulations maintaining over 80% cell viability, confirming their cytocompatibility. Antibacterial assays revealed significant inhibition of Staphylococcus aureus, indicating promising antimicrobial performance. The 3D hydrogel networks provided a porous and stable structure suitable for cellular infiltration and tissue integration. Overall, this work presents a green, bio-based approach for fabricating injectable hydrogels with tunable physicochemical and biological properties, offering a potential platform for soft tissue repair applications, particularly in maxillofacial regeneration.Funding text 1: The TBU authors acknowledge the financial support received from Ministry of Education, Youth and Sports of the Czech Republic\u2014DKRVO (RP/CPS/2024\u201028/005) and Technology Agency of the Czech Republic (TACR)\u2014M\u2010ERA.NET (TH71020005) project entitled \u201C (INJECT\u2010BIO)\u201D. The associated Israel partner of the project is also acknowledging the support of the Ministry of Science and Technology of Israel (grant #317330\u20103), and the Latvian partner acknowledges the funding from the Latvian Council of Science agreement No. ES RTD/2020/14 and Horizon 2020 under grant No. 857287. Doctoral student Mainak Chaudhuri acknowledges the financial support of the IGA project (IGA/CPS/2022/002). Alejandro Sosnik thanks the support of the Tamara and Harry Handelsman Academic Chair. Open access publishing facilitated by Univerzita Tomase Bati ve Zline, as part of the Wiley \u2010 CzechELib agreement. Bioactive injectable hydrogels for soft tissue regeneration after reconstructive maxillofacial surgeries; Funding text 2: This work was supported by the Technology Agency of the Czech Republic, M\u2010ERA.NET (TH71020005). Funding:Technology Agency of the Czech Republic [RP/CPS/2024-28/005]; Ministry of Education, Youth and Sports of the Czech Republic [TH71020005, INJECT-BIO]; Technology Agency of the Czech Republic (TACR) [317330-3]; Ministry of Science and Technology of Israel [RTD/2020/14, 857287]; Latvian Council of Science [IGA/CPS/2022/002]; IGA projec