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<title>Článek ve sborníku</title>
<link>http://hdl.handle.net/10563/1001717</link>
<description/>
<pubDate>Wed, 06 May 2026 15:31:21 GMT</pubDate>
<dc:date>2026-05-06T15:31:21Z</dc:date>
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<title>Servant Leadership: Bibliometric Analysis and Future Agenda</title>
<link>http://hdl.handle.net/10563/1012828</link>
<description>Servant Leadership: Bibliometric Analysis and Future Agenda
Kalsoom, Ghulam; Smaliukiene, Rasa; Zámečník, Roman
Servant leadership is positioned as a new field of research for leadership scholars. We conducted bibliometric review by using 150 peer-reviewed articles from Web of Science database. The data collection period was from 1990 to 2025 as to provide comprehensive reflection on this topic. We used VoSviewers Software for data analysis. This review generated themes such as servant leadership in hospitality sector, leadership and work engagement, servant leadership as a key driver for innovation, gender, leadership and job outcomes, a review of diversified leadership styles. This review advance our understanding by looking Servant leadership in European perspective as it is an under-explored context. Theoretically, this research contributes to body of knowledge on moral leadership literature. This research provides fresh guidelines on servant leadership for organizations to adopt moral leadership as it is most needed nowadays due to financial scandals and unethical practices.
</description>
<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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<title>Characterization Of Elastomer Durability: Insight Into Compression Set And Stress Relaxation</title>
<link>http://hdl.handle.net/10563/1012827</link>
<description>Characterization Of Elastomer Durability: Insight Into Compression Set And Stress Relaxation
Zádrapa, Petr; Mrkvičková, Simona; Macourek, Vilém
This study investigates the thermal aging behaviour of EPDM rubber compounds cured with varying concentrations of peroxide. Mechanical properties such as hardness, tensile strength, elongation at break, compression set, and stress relaxation were evaluated before and after exposure to elevated temperatures. A key innovation of this research is the use of a newly developed testing apparatus for stress relaxation measurements, designed to enable discontinuous long-term testing under controlled deformation and environmental conditions. The device allowed monitoring of stress decay over time, providing deeper insight into the viscoelastic behaviour of rubber material during thermal exposure. Results showed that peroxide concentration significantly influences crosslink density and aging resistance, with optimal performance observed at intermediate peroxide levels. The findings highlight the importance of formulation design and introduce a novel methodology for evaluating long-term elastomer durability.
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<pubDate>Wed, 01 Jan 2025 00:00:00 GMT</pubDate>
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<dc:date>2025-01-01T00:00:00Z</dc:date>
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<title>OS-QLR: One-Shot Quantized Latent Refinement for Fast and Efficient Image Generation</title>
<link>http://hdl.handle.net/10563/1012805</link>
<description>OS-QLR: One-Shot Quantized Latent Refinement for Fast and Efficient Image Generation
Li, Peng; Šenkeřík, Roman; Viktorin, Adam
This paper introduces One-Shot Quantized Latent Refinement (OS-QLR), a novel two-stage generative framework designed for high-quality image generation and improved computational efficiency. OS-QLR first learns a compact, discrete latent representation using a Vector Quantized Variational Autoencoder (VQ-VAE). It then employs a single-step refinement network within this latent space to produce clean, plausible samples from noisy or random inputs. Experimental results on the FashionMNIST and CIFAR-10 datasets show that OS-QLR consistently delivers superior image quality, featuring sharper details, fewer artifacts, and significantly lower Fréchet Inception Distance scores compared to unrefined VQ-VAE models. Additionally, OS-QLR demonstrates strong performance even with various levels of latent space corruption. Importantly, the training process for OS-QLR is greatly accelerated, taking only hours instead of the days or even weeks required by Diffusion Models, Generative Adversarial Networks (GANs), and Autoregressive image generation models. The non-iterative sampling method allows for rapid image generation, making OS-QLR a compelling and efficient alternative to current computationally intensive generative models. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2026.
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<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>Mechanical Resistance of PC and PMMA Safety Components in Transportation</title>
<link>http://hdl.handle.net/10563/1012803</link>
<description>Mechanical Resistance of PC and PMMA Safety Components in Transportation
Karhánková, Michaela; Turek, Jan; Adámek, Milan; Svačinová, Lucie; Miškařík, Lukáš; Mizera, Aleš
Polycarbonate (PC) and polymethyl methacrylate (PMMA) are widely used thermoplastic polymers in transportation applications due to their exceptional optical clarity, impact resistance, and durability. These materials are integral to safety-critical components such as vehicle light covers, protective shields, and sensors. In this study, PC and PMMA specimens of varying thicknesses were tested using drop-weight impact tests to evaluate their mechanical properties, specifically puncture resistance. The primary objective was to compare the impact resistance and overall performance of these materials under dynamic loading conditions. Statistical analysis revealed that PC outperformed PMMA in mechanical performance, though modifications to PMMA can enhance its impact resistance. This research provides practical insights for optimizing material selection in transportation, ensuring a balance between durability and cost-efficiency. Q29weXJpZ2h0IMKpIDIwMjUuIFB1Ymxpc2hlZCBieSBFbHNldmllciBCLlYu.
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<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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