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Item type: Item , Data Management Plan(Ústřední knihovna Vysoké školy báňské – Technické univerzity Ostrava, 2026) Mučka, Aleš; Ulmannová, ZuzanaItem type: Item , Data management Plan(Ústřední knihovna Vysoké školy báňské – Technické univerzity Ostrava, 2026) Mučka, Aleš; Ulmannová, ZuzanaItem type: Item , Pulse wave velocity estimation in a controlled In vitro vascular model: Benchmarking machine learning approaches(MDPI, 2026) Barvík, Daniel; Černý, Martin; Procházka, Michal; Noury, NorbertThis study evaluates the feasibility of estimating stiffness-related parameters and pulse wave velocity (PWV) in a controlled in vitro circulatory setup using artificial silicone vessels with systematically varied Shore A hardness and wall thickness. From synchronized pressure and capacitive waveforms, fiducial points and engineered features are extracted, together with pump settings (stroke volume and heart rate). A Sugeno-type adaptive neuro-fuzzy inference system (ANFIS) is used for hardness-level prediction and benchmarked against linear regression and contemporary machine-learning/deep-learning baselines using stratified cross-validation. PWV estimates derived via hardness-to-elasticity conversion models and the Moens-Korteweg formulation are evaluated against a reference PWV obtained within the same experimental configuration. Under these controlled conditions, the proposed pipeline shows strong agreement with reference labels and measurements. The results should be interpreted as an in vitro validation step; translation to biological tissues or in vivo data will require external validation, calibration of material-property mapping, and robustness testing under physiological variability and measurement noise.Item type: Item , Payment holidays, credit risk, and borrower-based limits: Insights from the Czech mortgage market(Elsevier, 2026) Hodula, Martin; Pfeifer, Lukáš; Pacoň, MartinThis paper examines the design and outcomes of mortgage payment holidays introduced during the COVID-19 pandemic. The Czech Republic provides a useful setting, combining a broad legislative moratorium with a subsequent, eligibility-based bank moratorium. Using confidential loan-level data, we document that legislative moratoria were used mainly as a precautionary liquidity tool, while bank moratoria were accessed predominantly by higher-risk borrowers. A central contribution of the paper is to provide loan-level evidence on mortgage performance after these programs ended. We find that arrears rose only moderately once repayments resumed, though the increase was noticeably larger for bank-moratoria borrowers, reflecting their weaker risk profiles. We further show that stricter borrower-based regulations (LTV, DTI, DSTI) in place before the pandemic were associated with lower moratoria uptake and reduced post-moratoria arrears. The results illustrate how the interaction between program design and pre-existing regulation shaped both the use of payment holidays and their credit-risk implications.Item type: Item , Social networks and social media as mediators of entrepreneurial entry among Indian women(Springer Nature, 2026) Balcar, Jiří; Sinha, Prity; Johnson Filipová, Lenka; Horáková Hirschlerová, NicoleThis article examines how social networks and social media influence women's entrepreneurial entry in India. Using an explanatory sequential mixed-methods approach, we combine quantitative analysis of GEM data with qualitative interviews. The quantitative results show that having an entrepreneur in one's social network increases the probability of start-up involvement by 2.5 percentage points, while media exposure contributes an additional 1.8 percentage points. Interviews with women entrepreneurs illustrate how social media provides motivation, role-modeling, and perceived attainability, whereas personal networks offer emotional support, early clients, mentorship, and informal financing. Situating these findings within broader debates on social capital and female entrepreneurship, the study highlights how interpersonal and digital ties function as low-cost, relational resources in contexts of limited institutional support. This dual perspective advances existing research by clarifying the distinct yet complementary ways in which offline networks and online media shape women's early entrepreneurial decisions and help reduce perceived barriers.