All publications
Predicting Subgoals in Ricochet Robots with a Graph Neural Network
Tato práce aplikuje grafové neuronové sítě na predikci podcílů ve hře s názvem Ricochet Robots, NP-úplné logické hře. Herní stavy …
Tato práce aplikuje grafové neuronové sítě na predikci podcílů ve hře s názvem Ricochet Robots, NP-úplné logické hře. Herní stavy jsou reprezentovány jako orientované grafy, kde uzly odpovídají políčkům mřížky a hrany reprezentují pohyby robotů. Rekurentní architektura Graph Attention Network je trénována k napodobení hierarchické vyhledávací heuristiky, která identifikuje slibné pozice (podcíle), kterých by cílový robot měl dosáhnout. Vyhodnoceny jsou dva klasifikační úkoly: identifikace políček, ze kterých je cíl nezávisle dosažitelný, a predikce optimálních podcílů. Model dosahuje téměř dokonalého výkonu u jednoduššího úkolu dosažitelnosti a prokazuje významné učení u komplexnějšího úkolu predikce optimálních podcílů. Výsledky potvrzují, že grafové neuronové sítě dokážou zachytit prostorové uvažování potřebné pro identifikaci podcílů ve výpočetně náročných problémových doménách, čímž vytvářejí základ pro autonomní objevování podcílů v komplexních stavových prostorech.
On the Dissimilarity of Fuzzy Information Granules
In this work, we pose the question of how to assess the dissimilarity of pairs of information granules that may be exemplified with I1 and I2. We focus on two representative types of information granu…
In this work, we pose the question of how to assess the dissimilarity of pairs of information granules that may be exemplified with I1 and I2. We focus on two representative types of information granules, namely fuzzy association rules (FAR) and fuzzy linguistic summaries, and aim to (1) propose a unified notation for the construction and selection of the most meaningful fuzzy information granules, and (2) analyze and discuss the assessment of dissimilarity across the considered types.
Qualitative Criteria for Fuzzy Linguistic Summaries with Absolute Linguistic Expressions
This contribution builds upon previous achievements in the theories of generalized and intermediate quantifiers, and the evaluative linguistic expressions. In this work, we study the antonym property …
This contribution builds upon previous achievements in the theories of generalized and intermediate quantifiers, and the evaluative linguistic expressions. In this work, we study the antonym property of fuzzy linguistic summaries with absolute linguistic expressions. First, we briefly review qualitative evaluation criteria with a particular focus on the degree of truth (as baseline) and the degrees of imprecision and specificity. Next, we consider the property of antonym and investigate its adequacy for the selected criteria.
Few-shot learning in industrial applications
This paper reports on the empirical performance of few-shot learning (FSL) for visualdefect classification using confidential industrial datasets. We evaluate 16 combinations offour backbone models (P…
This paper reports on the empirical performance of few-shot learning (FSL) for visualdefect classification using confidential industrial datasets. We evaluate 16 combinations offour backbone models (Perception Encoder, DINOv2, DINOv3, ConvNeXt-v2) and fourFSL classifiers (Prototypical Networks, Neighborhood Component Analysis, Relation Networks,Linear Adapter). The evaluation covers three conditions: a baseline comparison,deterministic support set augmentation, and a learnable attention preprocessor. Resultsdemonstrate that support set augmentation is a highly effective strategy, improving performancein nearly all configurations. Furthermore, the DINOv2 and ConvNeXt-V2-T backbonesemerged as top performers, achieving the most competitive and highest-accuracyresults, respectively. These findings suggest that for industrial FSL applications, combininga strong, pre-trained backbone with a simple augmentation strategy is a practicalapproach for building data-efficient classification systems.
Linguistic interpretation of natural data using new forms of intermediate quantifiers
This paper examines the application of fuzzy natural logic in the analysis of scientific data and their representation through special linguistic expressions. We use the theory of evaluative linguisti…
This paper examines the application of fuzzy natural logic in the analysis of scientific data and their representation through special linguistic expressions. We use the theory of evaluative linguistic expressions, which makes it possible to describe quantitative data using imprecise expressions such as ``very small'', ``medium'', ``large'', and similar. They occur in the definition of the so-called intermediate quantifiers, using which we characterize given data.
Verification of Validity of Syllogisms Related to Graded Peterson Cube of Opposition
In this article, we will examine the validity of selected forms of logical syllogisms with intermediate quantifiers. We will focus in particular on forms related to the graded Peterson's cube of oppos…
In this article, we will examine the validity of selected forms of logical syllogisms with intermediate quantifiers. We will focus in particular on forms related to the graded Peterson's cube of opposition. Our verification will be based on the application of graded Peterson's rules using the distribution index.
Measuring the Temporal Stability of Fuzzy Linguistic Summaries about Time Series with Drifts
We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time serie…
We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time series and the calculated stability indexes. The secondary goal is to characterise the group of fuzzy linguistic summaries that may serve as promising explanations of changes detected in the original time series.
Verification of Validity of Logical Syllogisms with New Forms of Intermediate Quantifiers Based on Grades
In this contribution, we continue our investigation of fuzzy Peterson syllogisms. Whereas the previous study concentrated on validating these syllogisms through the construction of formal proofs…
In this contribution, we continue our investigation of fuzzy Peterson syllogisms. Whereas the previous study concentrated on validating these syllogisms through the construction of formal proofs and semantic verification, the present work focuses on assessing their validity using Peterson’s grade-based rules.
Relation of Complete Correlation and Its Implication on Interval Operations
This paper lays the groundwork for defining division and multiplication on fuzzy intervals under complete correlation. We introduce joint possibility distributions to model dependencies between fuzzy …
This paper lays the groundwork for defining division and multiplication on fuzzy intervals under complete correlation. We introduce joint possibility distributions to model dependencies between fuzzy variables with complete correlation expressed via a linear relation. We then examine its impact on interval operations and the inverse property. Our results show that fuzzy arithmetic requires more nuanced approaches than simple point-wise interval analogies.
Intermediate syllogisms and non-monotonic reasoning
In this article, we will show how relations forming the graded Peterson's square of opposition (contrary, contradictory, sub-contrary and sub-alterns) are connected with intermediate logical syllogism…
In this article, we will show how relations forming the graded Peterson's square of opposition (contrary, contradictory, sub-contrary and sub-alterns) are connected with intermediate logical syllogisms, i.e., syllogisms that contain intermediate quantifiers. Our results are related to the theory of non-monotonic reasoning.
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Association between cardiac autonomic regulation, visceral adipose tissue, cardiorespiratory fitness and ambient air pollution: 4HAIE study (Program–4)
Running Distance and Biomechanical Risk Factors for Plantar Fasciitis: A One-Year Prospective 4HAIE Cohort Study
Effect of very low-carbohydrate high-fat diet and high-intensity interval training on mental health-related indicators in individuals with excessive weight or obesity
"It Puts Them in the Role of Zoo Animals": Gatekeeping, Research Fatigue and Over-Researched Populations in Czech Social Work Research
Validation of factor structures of the Drinking Motives Questionnaire among the Czech young and adult general population
Alcohol use is one of the leading public health concerns in the Czech Republic. Drinking motives play a vital role in both initiation and subsequent alcohol use. A revised version of the self-report D…
Alcohol use is one of the leading public health concerns in the Czech Republic. Drinking motives play a vital role in both initiation and subsequent alcohol use. A revised version of the self-report Drinking Motives Questionnaire (DMQ-R) has been proposed to assess these motives. The present study aims to validate the DMQ-R in the Czech general population. METHODS: A total sample of 1,784 Czech participants completed a national survey. For the analysis, only a sub-sample of the past 12 months alcohol users was used: N = 1,123; 52.8% male; mean (SD) age = 40.2 (13.3). Drinking motives were assessed by the adopted Czech version of the DMQ-R. Both confirmatory (CFA) and exploratory factor analysis (EFA) were conducted to examine the factorial structure of the instrument. The age of the participant was additionally considered in the analysis (15-24 years as opposed to 25-64 years). RESULTS: The CFA supported the four-factor model in the 25-64 age group. The analysis supported the construct validity of the Social, Conformity, and Coping factors. The Enhancement factor retained only two items and was found to refer more to a domain of 'Pleasant Feeling'. For the 15-24 age group, the hypothesised four-factor structure was not corroborated. CONCLUSIONS: The Czech version of the DMQ-R was found to be a reliable measurement tool of the Social, Conformity, and Coping motives. Future research should investigate the dimensionality of the instrument items presumed to correspond to the Enhancement motives. This should be conducted particularly among adolescents and young adults aged 15-24 years, where administering the DMQ-R with a large enough sample is also needed.
No cardiac phase bias for threat-related distance perception under naturalistic conditions in immersive virtual reality
Previous studies have found that threatening stimuli are more readily perceived and more intensely experienced when presented during cardiac systole compared with diastole. Also, threatening stimuli a…
Previous studies have found that threatening stimuli are more readily perceived and more intensely experienced when presented during cardiac systole compared with diastole. Also, threatening stimuli are judged as physically closer than neutral ones. In a pre-registered study, we tested these effects and their interaction using a naturalistic (interactive and three-dimensional) experimental design in immersive virtual reality: we briefly displayed threatening and non-threatening animals (four each) at varying distances (1.5–5.5 m) to a group of young, healthy participants (n = 41) while recording their electrocardiograms (ECGs). Participants then pointed to the location where they had seen the animal (approx. 29 000 trials in total). Our pre-registered analyses indicated that perceived distances to both threatening and non-threatening animals did not differ significantly between cardiac phases—with Bayesian analysis supporting the null hypothesis. There was also no evidence for an association between subjective fear and perceived proximity to threatening animals. These results contrast with previous findings that used verbal or declarative distance measures in less naturalistic experimental conditions. Furthermore, our findings suggest that the cardiac phase-related variation in threat processing may not generalize across different paradigms and may be less relevant in naturalistic scenarios than under more abstract experimental conditions.
Midlife heart rate variability and cognitive decline: A large longitudinal cohort study
TRENDS IN ADOLESCENT CIGARETTE SMOKING IN CZECHIA: FINDINGS FROM THE HBSC STUDY 2014–2022
Objectives: Regular monitoring of health-related behaviours among vulnerable populations is of public health importance. This study examines trends in cigarette smoking among Czech adolescents followi…
Objectives: Regular monitoring of health-related behaviours among vulnerable populations is of public health importance. This study examines trends in cigarette smoking among Czech adolescents following the marked changes reported in the mid-2010s. Methods: Data from three recent rounds of the Health Behaviour in School-aged Children (HBSC) study conducted in Czechia in 2014, 2018, and 2022 were analysed. Temporal trends were assessed for two indicators of adolescent cigarette use: (i) lifetime cigarette use and (ii) cigarette use in the last 30 days. Binary logistic regression was used to test for temporal changes between survey periods. In 2022, the same two indicators were also calculated for electronic cigarette use. Results: A continuing decline in adolescent cigarette use was observed for both indicators, extending the trends reported in the mid-2010s into the 2020s. However, the findings also highlight the increasing prevalence of electronic cigarette use among Czech adolescents. Conclusions: Although conventional cigarette use among adolescents continues to decline, the growing popularity of electronic cigarettes undermines efforts to reduce overall nicotine exposure and, in the long term, could counteract the intended trends in nicotine-related harms.
PLANETARY-HEALTH LITERACY AND MENTAL WELLBEING IN CZECH ADOLESCENTS: INSIGHTS FROM THE HBSC SURVEY 2022
Objectives: Planetary-health literacy (PHL), the knowledge, motivation and social support required to safeguard both human and environmental health, may help adolescents cope with climate-related dist…
Objectives: Planetary-health literacy (PHL), the knowledge, motivation and social support required to safeguard both human and environmental health, may help adolescents cope with climate-related distress and adopt sustainable behaviours. Evidence on the linkage between PHL and mental health from Central and Eastern Europe is lacking. The aim of the study was to describe PHL in Czech adolescents by sex, grade and family affluence, examine its association with mental-health indicators, and explore links with selected environment-relevant behaviours. Methods: Cross-sectional data were drawn from the nationally representative Health Behaviour in School-aged Children (HBSC) 2022 survey (n = 4,195, 50.8% boys, ages 13 and 15 years). PHL was measured with an 11-item HBSC optional package yielding three sub-scales (knowledge, action, perceived pro-environmental social norms). Outcomes were wellbeing (WHO-5), life satisfaction (Cantril’s ladder), and psychological complaints (HBSC symptom checklist). Fruit and vegetable intake plus cigarette and e-cigarette use served as behavioural correlates. Results: Girls scored higher than boys on all PHL domains (Cohen d = 0.10–0.19). Thirteen-year-olds reported more action and stronger social norms than fifteen-year-olds (p < 0.001); socioeconomic gradients were small. In fully adjusted models, social norms were positively associated with wellbeing (β = 1.42, 95% CI: 1.12–1.72) and life satisfaction (β = 0.10, 0.08–0.13), and inversely with psychological complaints (β = −0.27, −0.33 to −0.21). Knowledge showed weak adverse relations with wellbeing and complaints, whereas action was associated with wellbeing only. Higher PHL related to daily fruit and vegetable consumption and inversely to intensive e-cigarette use; effect sizes were modest. Conclusions: Perceived pro-environmental social norms appear most tightly related to adolescent mental health, while overall PHL is slightly associated with sustainable dietary patterns and lower use of e-cigarettes. School curricula that combine climate education with collaborative, action-oriented projects may therefore deliver co-benefits for planetary and psychological health in Central and Eastern Europe.
The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status
Background: In this study, we investigated the association between COVID-19 vaccination status and all-cause mortality (ACM) rate in the population of the Czech Republic between January 2020 and …
Background: In this study, we investigated the association between COVID-19 vaccination status and all-cause mortality (ACM) rate in the population of the Czech Republic between January 2020 and December 2022. Methods: In this retrospective study based on official population-wide individual (record-level) data, we analyzed monthly ACM rates stratified by COVID-19 vaccination status, sex, and age. The ACM was compared to expected mortality based on pre-COVID data. The recipients of the Janssen vaccine were excluded from the study. The final dataset comprised N = 5,636,949 individuals from the Czech Republic, encompassing all residents born between 1925 and 1980 who were alive on January 1, 2020. Results: Multiple peculiar patterns in ACM were revealed. The ACM of vaccinated individuals across several age cohorts was greatly diminished compared to the ACM of the unvaccinated, even in periods when virtually no COVID-19-related deaths were observed, suggesting a strong selection/indication bias. A similar drop in the ACM of newly vaccinated individuals was observed again during the booster campaign. With time from vaccination, the differences in ACM between groups with different vaccination statuses dwindled. Indication bias was observed at the beginning of the vaccination campaign when the frailest individuals were preferentially vaccinated. Conclusions: The population-wide data strongly suggest the presence of selection/indication bias, warranting careful interpretation of vaccination effectiveness estimates derived from observational studies. Keywords: All-cause mortality; COVID-19; Healthy user bias; Healthy vaccinee effect; Individual-level data; Vaccination status; Vaccine effectiveness.
Associations between adolescents oral health and health literacy, gender and family affluence: perspective of the Health Behaviour in School-aged Children study data from Slovakia and Poland
Objectives: The aim of this study was to examine the association between oral health and health literacy, gender, age, family affluence and country of origin amongst adolescents from Slovakia and Pola…
Objectives: The aim of this study was to examine the association between oral health and health literacy, gender, age, family affluence and country of origin amongst adolescents from Slovakia and Poland, using data from the Health Behaviour in School-aged Children study. Methods: We analysed data from the cross-sectional Health Behaviour in School-aged Children study conducted in 2022 on a representative sample of 6,289 Slovak and Polish 13- and 15-year old adolescents (mean age 14.48; SD = 1.01; 50.5% boys). Data was collected through self-administered online questionnaires completed by respondents in schools during classes. Binomial logistic regression models were used to assess associations between oral health and health literacy, gender, age, family affluence and country of origin amongst adolescents from Slovakia and Poland. Results: The results indicate that boys (odds ratio/95% confidence interval OR/95% CI 0.431/0.381–0.489) are substantially less likely to engage in regular toothbrushing compared to girls, highlighting a persistent gender disparity in oral hygiene behaviour. Additionally, lower socioeconomic status, as measured by family affluence, is associated with a decreased likelihood of frequent toothbrushing (OR/95% CI 0.486/0.399–0.592 for low family affluence; OR/95% CI 0.761/0.647–0.895 for medium family affluence). Similarly, health literacy emerges as a key determinant, with adolescents exhibiting lower health literacy levels demonstrating significantly reduced engagement in regular toothbrushing (OR/95% CI 0.475/0.384–0.587 for low health literacy; OR/95% CI 0.666/0.550–0.808 for medium health literacy). Conclusion: This study highlights the significant impact of gender, family affluence and health literacy on toothbrushing frequency amongst adolescents in Poland and Slovakia. The findings underscore the need for targeted oral health promotion strategies that consider gender differences, socioeconomic inequalities and the importance of health literacy in improving oral hygiene practises amongst adolescents.
Few-shot learning in industrial applications
This paper reports on the empirical performance of few-shot learning (FSL) for visualdefect classification using confidential industrial datasets. We evaluate 16 combinations offour backbone models (P…
This paper reports on the empirical performance of few-shot learning (FSL) for visualdefect classification using confidential industrial datasets. We evaluate 16 combinations offour backbone models (Perception Encoder, DINOv2, DINOv3, ConvNeXt-v2) and fourFSL classifiers (Prototypical Networks, Neighborhood Component Analysis, Relation Networks,Linear Adapter). The evaluation covers three conditions: a baseline comparison,deterministic support set augmentation, and a learnable attention preprocessor. Resultsdemonstrate that support set augmentation is a highly effective strategy, improving performancein nearly all configurations. Furthermore, the DINOv2 and ConvNeXt-V2-T backbonesemerged as top performers, achieving the most competitive and highest-accuracyresults, respectively. These findings suggest that for industrial FSL applications, combininga strong, pre-trained backbone with a simple augmentation strategy is a practicalapproach for building data-efficient classification systems.
Linguistic interpretation of natural data using new forms of intermediate quantifiers
This paper examines the application of fuzzy natural logic in the analysis of scientific data and their representation through special linguistic expressions. We use the theory of evaluative linguisti…
This paper examines the application of fuzzy natural logic in the analysis of scientific data and their representation through special linguistic expressions. We use the theory of evaluative linguistic expressions, which makes it possible to describe quantitative data using imprecise expressions such as ``very small'', ``medium'', ``large'', and similar. They occur in the definition of the so-called intermediate quantifiers, using which we characterize given data.
Verification of Validity of Syllogisms Related to Graded Peterson Cube of Opposition
In this article, we will examine the validity of selected forms of logical syllogisms with intermediate quantifiers. We will focus in particular on forms related to the graded Peterson's cube of oppos…
In this article, we will examine the validity of selected forms of logical syllogisms with intermediate quantifiers. We will focus in particular on forms related to the graded Peterson's cube of opposition. Our verification will be based on the application of graded Peterson's rules using the distribution index.
Measuring the Temporal Stability of Fuzzy Linguistic Summaries about Time Series with Drifts
We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time serie…
We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time series and the calculated stability indexes. The secondary goal is to characterise the group of fuzzy linguistic summaries that may serve as promising explanations of changes detected in the original time series.
Verification of Validity of Logical Syllogisms with New Forms of Intermediate Quantifiers Based on Grades
In this contribution, we continue our investigation of fuzzy Peterson syllogisms. Whereas the previous study concentrated on validating these syllogisms through the construction of formal proofs…
In this contribution, we continue our investigation of fuzzy Peterson syllogisms. Whereas the previous study concentrated on validating these syllogisms through the construction of formal proofs and semantic verification, the present work focuses on assessing their validity using Peterson’s grade-based rules.
Relation of Complete Correlation and Its Implication on Interval Operations
This paper lays the groundwork for defining division and multiplication on fuzzy intervals under complete correlation. We introduce joint possibility distributions to model dependencies between fuzzy …
This paper lays the groundwork for defining division and multiplication on fuzzy intervals under complete correlation. We introduce joint possibility distributions to model dependencies between fuzzy variables with complete correlation expressed via a linear relation. We then examine its impact on interval operations and the inverse property. Our results show that fuzzy arithmetic requires more nuanced approaches than simple point-wise interval analogies.
Intermediate syllogisms and non-monotonic reasoning
In this article, we will show how relations forming the graded Peterson's square of opposition (contrary, contradictory, sub-contrary and sub-alterns) are connected with intermediate logical syllogism…
In this article, we will show how relations forming the graded Peterson's square of opposition (contrary, contradictory, sub-contrary and sub-alterns) are connected with intermediate logical syllogisms, i.e., syllogisms that contain intermediate quantifiers. Our results are related to the theory of non-monotonic reasoning.
Accelerating pattern mining on fuzzy data by packing truth values into blocks of bits
In pattern mining from tabular data using fuzzy logic, a common task involves computing triangular norms (t-norms) to represent conjunctions of fuzzy predicates and summing the resulting truth values …
In pattern mining from tabular data using fuzzy logic, a common task involves computing triangular norms (t-norms) to represent conjunctions of fuzzy predicates and summing the resulting truth values to evaluate rule support or other pattern quality measures. Building on previous work, this paper presents an approach that packs multiple fuzzy truth values into a single integer and performs t-norm computations directly on this compact representation. By using 4-, 8-, or 16-bit precision, the method substantially reduces memory consumption and improves computational efficiency. For example, with 8-bit precision—offering two decimal places of accuracy—it requires only one-quarter of the memory and achieves 3–16× speedup compared to conventional floating-point-based method of computation. The proposed method is also compared with a traditional computation approach optimized using advanced Single-Instruction/Multiple-Data (SIMD) CPU operations, demonstrating its superior performance on modern architectures.
Assoc Rules Mining and Modeling
Remarks on the Universal Approximation Property of Feedforward Neural Networks
Abstract This paper presents a structured overview and novel insights into the universal approximation property offeedforward neural networks. We categorize existing results based on the characteristi…
Abstract This paper presents a structured overview and novel insights into the universal approximation property offeedforward neural networks. We categorize existing results based on the characteristics of activation functions— ranging from strictly monotonic to weakly monotonic and continuous almost everywhere — and examinetheir implications under architectural constraints such as bounded depth and width. Building on classical resultsby Cybenko [1], Hornik [2], and Maiorov [3], we introduce new activation functions that enable even simplerneural network architectures to retain universal approximation capabilities. Notably, we demonstrate thatsingle-layer networks with only two neurons and fixed weights can approximate any continuous univariatefunction, and that two-layer networks can extend this capability to multivariate functions. These findings refinethe known lower bounds of neural network complexity and offer constructive approaches that preserve strictmonotonicity, improving upon prior work that relied on relaxed monotonicity conditions. Our results contributeto the theoretical foundation of neural networks and open pathways for designing minimal yet expressivearchitectures.
No publications found.
No publications found.
Few-shot learning in industrial applications
This paper reports on the empirical performance of few-shot learning (FSL) for visualdefect classification using confidential industrial datasets. We evaluate 16 combinations offour backbone models (P…
This paper reports on the empirical performance of few-shot learning (FSL) for visualdefect classification using confidential industrial datasets. We evaluate 16 combinations offour backbone models (Perception Encoder, DINOv2, DINOv3, ConvNeXt-v2) and fourFSL classifiers (Prototypical Networks, Neighborhood Component Analysis, Relation Networks,Linear Adapter). The evaluation covers three conditions: a baseline comparison,deterministic support set augmentation, and a learnable attention preprocessor. Resultsdemonstrate that support set augmentation is a highly effective strategy, improving performancein nearly all configurations. Furthermore, the DINOv2 and ConvNeXt-V2-T backbonesemerged as top performers, achieving the most competitive and highest-accuracyresults, respectively. These findings suggest that for industrial FSL applications, combininga strong, pre-trained backbone with a simple augmentation strategy is a practicalapproach for building data-efficient classification systems.
Linguistic interpretation of natural data using new forms of intermediate quantifiers
This paper examines the application of fuzzy natural logic in the analysis of scientific data and their representation through special linguistic expressions. We use the theory of evaluative linguisti…
This paper examines the application of fuzzy natural logic in the analysis of scientific data and their representation through special linguistic expressions. We use the theory of evaluative linguistic expressions, which makes it possible to describe quantitative data using imprecise expressions such as ``very small'', ``medium'', ``large'', and similar. They occur in the definition of the so-called intermediate quantifiers, using which we characterize given data.
Verification of Validity of Syllogisms Related to Graded Peterson Cube of Opposition
In this article, we will examine the validity of selected forms of logical syllogisms with intermediate quantifiers. We will focus in particular on forms related to the graded Peterson's cube of oppos…
In this article, we will examine the validity of selected forms of logical syllogisms with intermediate quantifiers. We will focus in particular on forms related to the graded Peterson's cube of opposition. Our verification will be based on the application of graded Peterson's rules using the distribution index.
Measuring the Temporal Stability of Fuzzy Linguistic Summaries about Time Series with Drifts
We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time serie…
We thoroughly analyse the stability of sequences of FLSs with various quantifiers and various drifts, aiming to identify patterns between the statistical properties in observed multivariate time series and the calculated stability indexes. The secondary goal is to characterise the group of fuzzy linguistic summaries that may serve as promising explanations of changes detected in the original time series.
Verification of Validity of Logical Syllogisms with New Forms of Intermediate Quantifiers Based on Grades
In this contribution, we continue our investigation of fuzzy Peterson syllogisms. Whereas the previous study concentrated on validating these syllogisms through the construction of formal proofs…
In this contribution, we continue our investigation of fuzzy Peterson syllogisms. Whereas the previous study concentrated on validating these syllogisms through the construction of formal proofs and semantic verification, the present work focuses on assessing their validity using Peterson’s grade-based rules.
Relation of Complete Correlation and Its Implication on Interval Operations
This paper lays the groundwork for defining division and multiplication on fuzzy intervals under complete correlation. We introduce joint possibility distributions to model dependencies between fuzzy …
This paper lays the groundwork for defining division and multiplication on fuzzy intervals under complete correlation. We introduce joint possibility distributions to model dependencies between fuzzy variables with complete correlation expressed via a linear relation. We then examine its impact on interval operations and the inverse property. Our results show that fuzzy arithmetic requires more nuanced approaches than simple point-wise interval analogies.
Intermediate syllogisms and non-monotonic reasoning
In this article, we will show how relations forming the graded Peterson's square of opposition (contrary, contradictory, sub-contrary and sub-alterns) are connected with intermediate logical syllogism…
In this article, we will show how relations forming the graded Peterson's square of opposition (contrary, contradictory, sub-contrary and sub-alterns) are connected with intermediate logical syllogisms, i.e., syllogisms that contain intermediate quantifiers. Our results are related to the theory of non-monotonic reasoning.
Accelerating pattern mining on fuzzy data by packing truth values into blocks of bits
In pattern mining from tabular data using fuzzy logic, a common task involves computing triangular norms (t-norms) to represent conjunctions of fuzzy predicates and summing the resulting truth values …
In pattern mining from tabular data using fuzzy logic, a common task involves computing triangular norms (t-norms) to represent conjunctions of fuzzy predicates and summing the resulting truth values to evaluate rule support or other pattern quality measures. Building on previous work, this paper presents an approach that packs multiple fuzzy truth values into a single integer and performs t-norm computations directly on this compact representation. By using 4-, 8-, or 16-bit precision, the method substantially reduces memory consumption and improves computational efficiency. For example, with 8-bit precision—offering two decimal places of accuracy—it requires only one-quarter of the memory and achieves 3–16× speedup compared to conventional floating-point-based method of computation. The proposed method is also compared with a traditional computation approach optimized using advanced Single-Instruction/Multiple-Data (SIMD) CPU operations, demonstrating its superior performance on modern architectures.
Well-being, digitisation, and social work: participatory strategies for inclusive digitisation in social services. The Catalan case
In this article, we analyse the digitalisation process in social services in Catalonia from the perspective of social workers' demands, establishing a set of strategies for better incorporation of dig…
In this article, we analyse the digitalisation process in social services in Catalonia from the perspective of social workers' demands, establishing a set of strategies for better incorporation of digital technologies in public administrations. Co-design and co-creation methodologies allow us to evaluate our organisations more effectively, giving social workers a voice so that they can highlight the positive and negative effects of their organisations' digitalisation model, actively participating in the redesign of the digital social services model from the outset. Through a participatory process involving 109 social workers from social services in Catalonia, using methodologies such as the customer journey and impact maps, this article presents some strategies for strengthening inclusive digitalisation focused on the well-being of social service workers and users.
From competence to care: digital leadership in eHealth
This article examines the role of digital skills in the health sector, where healthcare social workers perform their professional work, using the Delphi method in two rounds: 2020 (pre-Covid-19 contex…
This article examines the role of digital skills in the health sector, where healthcare social workers perform their professional work, using the Delphi method in two rounds: 2020 (pre-Covid-19 context) and 2021 (Covid-19 context). Experts point out three major transformations in organisations resulting from digitalisation: (i) the growing importance of digital skills; (ii) the relevance of developing a leadership adapted to a digitalisated context, and (iii) the key role of health managers and their organisations. Based on the results obtained, a conceptual approach based on the Shaw et al. (2017) model is proposed to face the challenges of e-Health, explicitly centred on fostering both organisational and individual wellbeing. This leadership model aims to improve the wellbeing of workers in the healthcare sector, including healthcare social workers.
The Journey From Nonimmersive to Immersive Multiuser Applications in Mental Health Care: Systematic Review
Over the past 25 years, the development of multi-user applications has seen significant advancements and challenges. The technological development in this field has emerged from simple chatrooms, thro…
Over the past 25 years, the development of multi-user applications has seen significant advancements and challenges. The technological development in this field has emerged from simple chatrooms, through videoconferencing tools to the crea-tion of complex, interactive, and often multisensory virtual worlds. These multi-user technologies have gradually found their way into mental health care, where they are used in both dyadic counselling and group interventions. However, some limitations in hardware capabilities, user experience designs, and scalability may have hindered the effectiveness of these applications. Objective: The present systematic review aimed at summarizing the progress made and the potential future directions in this field while evaluating various factors and perspectives relevant to remote multi-user interventions. Methods: The systematic review was performed based on Web of Science (WoS) and PubMed database search covering articles in the English language published from Jan-uary 1999 to March 2024 related to multi-user mental health interventions. Several inclusion and exclusion criteria were determined before and during the records screening process performed in several steps. Results: We have identified 49 records exploring the multi-user applications in mental health care, ranging from text-based interventions to interventions set in fully immer-sive environments. The number of publications exploring this topic is growing since 2015, with a large increase during COVID-19 pandemic. The majority of digital inter-ventions were delivered in a form of video-conferencing, with only a few implementing immersive environments. The studies utilized professional or peer supported group interventions or a combination of both approaches. The research studies targeted di-verse groups and topics, from nursing mothers to psychiatric disorders or various mi-nority groups. Most group sessions happened weekly, or in case of the peer-support groups, often with flexible schedule. Conclusions: We have identified many benefits to multi-user digital interventions for mental healthcare. These approaches provide distributed, always available and afford-able peer support that can be used to deliver necessary help to people living outside of areas where in-person interventions are easily available. While immersive virtual envi-ronments have become a common tool in many areas of psychiatric care, such as expo-sure therapy, our results suggest that this technology in multi-user settings is still in its early stages. Most identified studies investigated mainstream technologies, such as vid-eo conferencing or text-based support, substituting immersive experience for conven-ience and ease of use. While many studies discuss useful features of virtual environ-ments in group interventions, such as anonymity or stronger engagement with the group, we discuss persisting issues with these technologies, which currently prevent their full adoption.
Validation of factor structures of the Drinking Motives Questionnaire among the Czech young and adult general population
Alcohol use is one of the leading public health concerns in the Czech Republic. Drinking motives play a vital role in both initiation and subsequent alcohol use. A revised version of the self-report D…
Alcohol use is one of the leading public health concerns in the Czech Republic. Drinking motives play a vital role in both initiation and subsequent alcohol use. A revised version of the self-report Drinking Motives Questionnaire (DMQ-R) has been proposed to assess these motives. The present study aims to validate the DMQ-R in the Czech general population. METHODS: A total sample of 1,784 Czech participants completed a national survey. For the analysis, only a sub-sample of the past 12 months alcohol users was used: N = 1,123; 52.8% male; mean (SD) age = 40.2 (13.3). Drinking motives were assessed by the adopted Czech version of the DMQ-R. Both confirmatory (CFA) and exploratory factor analysis (EFA) were conducted to examine the factorial structure of the instrument. The age of the participant was additionally considered in the analysis (15-24 years as opposed to 25-64 years). RESULTS: The CFA supported the four-factor model in the 25-64 age group. The analysis supported the construct validity of the Social, Conformity, and Coping factors. The Enhancement factor retained only two items and was found to refer more to a domain of 'Pleasant Feeling'. For the 15-24 age group, the hypothesised four-factor structure was not corroborated. CONCLUSIONS: The Czech version of the DMQ-R was found to be a reliable measurement tool of the Social, Conformity, and Coping motives. Future research should investigate the dimensionality of the instrument items presumed to correspond to the Enhancement motives. This should be conducted particularly among adolescents and young adults aged 15-24 years, where administering the DMQ-R with a large enough sample is also needed.
No cardiac phase bias for threat-related distance perception under naturalistic conditions in immersive virtual reality
Previous studies have found that threatening stimuli are more readily perceived and more intensely experienced when presented during cardiac systole compared with diastole. Also, threatening stimuli a…
Previous studies have found that threatening stimuli are more readily perceived and more intensely experienced when presented during cardiac systole compared with diastole. Also, threatening stimuli are judged as physically closer than neutral ones. In a pre-registered study, we tested these effects and their interaction using a naturalistic (interactive and three-dimensional) experimental design in immersive virtual reality: we briefly displayed threatening and non-threatening animals (four each) at varying distances (1.5–5.5 m) to a group of young, healthy participants (n = 41) while recording their electrocardiograms (ECGs). Participants then pointed to the location where they had seen the animal (approx. 29 000 trials in total). Our pre-registered analyses indicated that perceived distances to both threatening and non-threatening animals did not differ significantly between cardiac phases—with Bayesian analysis supporting the null hypothesis. There was also no evidence for an association between subjective fear and perceived proximity to threatening animals. These results contrast with previous findings that used verbal or declarative distance measures in less naturalistic experimental conditions. Furthermore, our findings suggest that the cardiac phase-related variation in threat processing may not generalize across different paradigms and may be less relevant in naturalistic scenarios than under more abstract experimental conditions.
TRENDS IN ADOLESCENT CIGARETTE SMOKING IN CZECHIA: FINDINGS FROM THE HBSC STUDY 2014–2022
Objectives: Regular monitoring of health-related behaviours among vulnerable populations is of public health importance. This study examines trends in cigarette smoking among Czech adolescents followi…
Objectives: Regular monitoring of health-related behaviours among vulnerable populations is of public health importance. This study examines trends in cigarette smoking among Czech adolescents following the marked changes reported in the mid-2010s. Methods: Data from three recent rounds of the Health Behaviour in School-aged Children (HBSC) study conducted in Czechia in 2014, 2018, and 2022 were analysed. Temporal trends were assessed for two indicators of adolescent cigarette use: (i) lifetime cigarette use and (ii) cigarette use in the last 30 days. Binary logistic regression was used to test for temporal changes between survey periods. In 2022, the same two indicators were also calculated for electronic cigarette use. Results: A continuing decline in adolescent cigarette use was observed for both indicators, extending the trends reported in the mid-2010s into the 2020s. However, the findings also highlight the increasing prevalence of electronic cigarette use among Czech adolescents. Conclusions: Although conventional cigarette use among adolescents continues to decline, the growing popularity of electronic cigarettes undermines efforts to reduce overall nicotine exposure and, in the long term, could counteract the intended trends in nicotine-related harms.
PLANETARY-HEALTH LITERACY AND MENTAL WELLBEING IN CZECH ADOLESCENTS: INSIGHTS FROM THE HBSC SURVEY 2022
Objectives: Planetary-health literacy (PHL), the knowledge, motivation and social support required to safeguard both human and environmental health, may help adolescents cope with climate-related dist…
Objectives: Planetary-health literacy (PHL), the knowledge, motivation and social support required to safeguard both human and environmental health, may help adolescents cope with climate-related distress and adopt sustainable behaviours. Evidence on the linkage between PHL and mental health from Central and Eastern Europe is lacking. The aim of the study was to describe PHL in Czech adolescents by sex, grade and family affluence, examine its association with mental-health indicators, and explore links with selected environment-relevant behaviours. Methods: Cross-sectional data were drawn from the nationally representative Health Behaviour in School-aged Children (HBSC) 2022 survey (n = 4,195, 50.8% boys, ages 13 and 15 years). PHL was measured with an 11-item HBSC optional package yielding three sub-scales (knowledge, action, perceived pro-environmental social norms). Outcomes were wellbeing (WHO-5), life satisfaction (Cantril’s ladder), and psychological complaints (HBSC symptom checklist). Fruit and vegetable intake plus cigarette and e-cigarette use served as behavioural correlates. Results: Girls scored higher than boys on all PHL domains (Cohen d = 0.10–0.19). Thirteen-year-olds reported more action and stronger social norms than fifteen-year-olds (p < 0.001); socioeconomic gradients were small. In fully adjusted models, social norms were positively associated with wellbeing (β = 1.42, 95% CI: 1.12–1.72) and life satisfaction (β = 0.10, 0.08–0.13), and inversely with psychological complaints (β = −0.27, −0.33 to −0.21). Knowledge showed weak adverse relations with wellbeing and complaints, whereas action was associated with wellbeing only. Higher PHL related to daily fruit and vegetable consumption and inversely to intensive e-cigarette use; effect sizes were modest. Conclusions: Perceived pro-environmental social norms appear most tightly related to adolescent mental health, while overall PHL is slightly associated with sustainable dietary patterns and lower use of e-cigarettes. School curricula that combine climate education with collaborative, action-oriented projects may therefore deliver co-benefits for planetary and psychological health in Central and Eastern Europe.
No publications found.
CHANGES IN SOCIAL MEDIA USE PATTERNS AMONG CZECH ADOLESCENTS: HBSC STUDY 2018–2022
Objectives: Previous studies have identified four distinct patterns of adolescent social media use (SMU): (1) Non-active users abstain from social media or engage in online interactions only once a we…
Objectives: Previous studies have identified four distinct patterns of adolescent social media use (SMU): (1) Non-active users abstain from social media or engage in online interactions only once a week or less; (2) Active users connect with others online daily without any functional impairments related to their SMU; (3) Intense users frequently engage with others online but do not meet criteria for problematic use; (4) Problematic users report six or more addiction-like symptoms. The following study aimed to assess the prevalence of these SMU patterns among Czech adolescents; examine changes between 2018 (pre-COVID-19) and 2022; and explore age and gender differences to identify at-risk subgroups. Methods: Data were drawn from the Health Behaviour in School-aged Children (HBSC) study among 11-, 13-, and 15-year-olds. The study analysed Czech data from the 2017/18 and 2021/22 waves (n = 26,450). Results: Findings revealed marked changes in SMU patterns between 2018 and 2022 among Czech adolescents. Girls and older adolescents reported higher rates of problematic SMU, which increased steadily with age. The share of non-active users declined, most notably among 11-year-olds. Conclusions: The marked increase in both intense and problematic SMU among Czech adolescents highlights a growing public health concern. Given the established associations between problematic SMU and poorer mental health outcomes, these findings call for the integration of digital behaviour monitoring and education into school-based mental health and prevention programs. Particular attention should be given to early adolescence and to gender-specific vulnerabilities.
Overweight, Obesity, and Body Weight Perception among Czech Adolescents: A Two-Decade Analysis (HBSC Study 2002-2022)
Objectives: Excess body weight and weight misperception in adolescents are associated with various physical and mental health risks. This study analysed trends in overweight, obesity, body image, and …
Objectives: Excess body weight and weight misperception in adolescents are associated with various physical and mental health risks. This study analysed trends in overweight, obesity, body image, and body weight perception among Czech adolescents between 2002 and 2022, considering gender, age and socioeconomic status (SES). Methods: Data were retrieved from the questionnaire of the Health Behaviour in School-aged Children (HBSC) study conducted in 2002, 2006, 2010, 2014, 2018 and 2022 (n=52,363; 49.9% girls). The Difference test between two proportions was used to assess time trends in weight status (WS), body image, and body weight perception across gender and SES groups. Logistic regression analysis was performed to examine the likelihood of being overweight/obese, and underestimating or overestimating WS. Results: Between 2002 and 2022, overweight and obesity increased significantly, while non-overweight rates declined across both genders and SES groups, with a greater rise among boys and adolescents from low SES backgrounds. In 2022, more adolescents, regardless the gender and SES, perceived their body as “too thin” compared to 2002. Over the 20-year period, underestimation of WS increased while overestimation decreased among both girls and boys and across all SES groups. Accurate perception of WS rose among girls but worsened among boys. Girls were less likely than boys to be overweight/obese or to underestimate their WS but had higher odds of overestimating it. Conclusions: The significant rise in overweight and obesity, especially in boys and adolescents from low SES backgrounds, during the last 20 years points out to socio-economic disparities and should be taken into account when creating new policies. An improvement in correct perception of WS among girls and a decline in overestimating WS across both genders and SES groups, could help reduce the risks of developing mental health problems or eating disorders, whereas underestimating WS may lead to weight-related issues.
Trends in Active School Transport Among Czech Adolescents Between 2006–2022: Findings from the HBSC Study
Objectives: Active school transport (AST), such as walking or cycling to and from school, represents an important source of daily physical activity for adolescents. In recent decades, however, many hi…
Objectives: Active school transport (AST), such as walking or cycling to and from school, represents an important source of daily physical activity for adolescents. In recent decades, however, many high-income countries have reported a steady decline in AST. The main objective of this study was to describe long-term trends in active travel to and from school among Czech adolescents aged 11, 13, and 15 years, using nationally representative data collected in five waves of the Health Behaviour in School-aged Children (HBSC) study between 2006 and 2022. A secondary aim was to explore selected individual and socioeconomic factors associated with AST participation. Methods: The analysis is based on a total sample of 50,713 adolescents (boys: n=25,628; girls: n=25,085) aged 10.5–16.5 years, with valid self-reported data on travel modes to and from school. AST was defined as walking or cycling as the primary mode of transport. The prevalence of AST was analyzed over time by gender and age category. Binary logistic regression was used to assess the associations between AST and survey year, gender, age group, socioeconomic status (Family Affluence Scale), and commuting time to school. Results: Between 2006 and 2022, the prevalence of AST to school declined from 71.6% to 54.9% among boys and from 71.8% to 54.8% among girls. A similar trend was observed for AST from school, although participation remained consistently higher than in the morning. The strongest negative predictors of AST were longer commuting time and higher socioeconomic status. Girls had slightly lower odds of AST than boys, and older adolescents were more likely to engage in AST.
The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status
Background: In this study, we investigated the association between COVID-19 vaccination status and all-cause mortality (ACM) rate in the population of the Czech Republic between January 2020 and …
Background: In this study, we investigated the association between COVID-19 vaccination status and all-cause mortality (ACM) rate in the population of the Czech Republic between January 2020 and December 2022. Methods: In this retrospective study based on official population-wide individual (record-level) data, we analyzed monthly ACM rates stratified by COVID-19 vaccination status, sex, and age. The ACM was compared to expected mortality based on pre-COVID data. The recipients of the Janssen vaccine were excluded from the study. The final dataset comprised N = 5,636,949 individuals from the Czech Republic, encompassing all residents born between 1925 and 1980 who were alive on January 1, 2020. Results: Multiple peculiar patterns in ACM were revealed. The ACM of vaccinated individuals across several age cohorts was greatly diminished compared to the ACM of the unvaccinated, even in periods when virtually no COVID-19-related deaths were observed, suggesting a strong selection/indication bias. A similar drop in the ACM of newly vaccinated individuals was observed again during the booster campaign. With time from vaccination, the differences in ACM between groups with different vaccination statuses dwindled. Indication bias was observed at the beginning of the vaccination campaign when the frailest individuals were preferentially vaccinated. Conclusions: The population-wide data strongly suggest the presence of selection/indication bias, warranting careful interpretation of vaccination effectiveness estimates derived from observational studies. Keywords: All-cause mortality; COVID-19; Healthy user bias; Healthy vaccinee effect; Individual-level data; Vaccination status; Vaccine effectiveness.
Associations between adolescents oral health and health literacy, gender and family affluence: perspective of the Health Behaviour in School-aged Children study data from Slovakia and Poland
Objectives: The aim of this study was to examine the association between oral health and health literacy, gender, age, family affluence and country of origin amongst adolescents from Slovakia and Pola…
Objectives: The aim of this study was to examine the association between oral health and health literacy, gender, age, family affluence and country of origin amongst adolescents from Slovakia and Poland, using data from the Health Behaviour in School-aged Children study. Methods: We analysed data from the cross-sectional Health Behaviour in School-aged Children study conducted in 2022 on a representative sample of 6,289 Slovak and Polish 13- and 15-year old adolescents (mean age 14.48; SD = 1.01; 50.5% boys). Data was collected through self-administered online questionnaires completed by respondents in schools during classes. Binomial logistic regression models were used to assess associations between oral health and health literacy, gender, age, family affluence and country of origin amongst adolescents from Slovakia and Poland. Results: The results indicate that boys (odds ratio/95% confidence interval OR/95% CI 0.431/0.381–0.489) are substantially less likely to engage in regular toothbrushing compared to girls, highlighting a persistent gender disparity in oral hygiene behaviour. Additionally, lower socioeconomic status, as measured by family affluence, is associated with a decreased likelihood of frequent toothbrushing (OR/95% CI 0.486/0.399–0.592 for low family affluence; OR/95% CI 0.761/0.647–0.895 for medium family affluence). Similarly, health literacy emerges as a key determinant, with adolescents exhibiting lower health literacy levels demonstrating significantly reduced engagement in regular toothbrushing (OR/95% CI 0.475/0.384–0.587 for low health literacy; OR/95% CI 0.666/0.550–0.808 for medium health literacy). Conclusion: This study highlights the significant impact of gender, family affluence and health literacy on toothbrushing frequency amongst adolescents in Poland and Slovakia. The findings underscore the need for targeted oral health promotion strategies that consider gender differences, socioeconomic inequalities and the importance of health literacy in improving oral hygiene practises amongst adolescents.
