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Recent Submissions

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    Start-ups and artificial intelligence: From application to value, and the five problems that shape effective implementation
    (Institute of Economic Research (Poland), 2025-12-01) Balcerzak, Adam P.; Škapa, Stanislav; Zinecker, Marek
    This paper examines the growing role of artificial intelligence (AI) in start-ups and digital entrepreneurial ventures, emphasizing the transition from simple technological application to the generation of sustainable business value. The authors argue that the effective adoption of AI in start-ups depends on several interrelated organizational and ecosystem factors that shape innovation outcomes. The discussion identifies five key challenges influencing AI implementation. First, the ability of start-ups to absorb external technologies and data determines whether open innovation and access to cloud-based AI tools translate into real competitive advantage. Second, the transition from experimental prototypes to scalable solutions remains a major operational bottleneck, often requiring structured proof-of-concept processes and support from innovation ecosystems. Third, human factors - such as organizational culture, employee attitudes, and empowerment - play a decisive role in determining whether AI is perceived as a supportive tool or a threat. Fourth, ethical considerations, trust, and regulatory compliance are increasingly becoming integral elements of AI-based value propositions, particularly in consumer-oriented markets. Finally, ecosystem inequalities, including geographical concentration of AI start-ups and unequal access to capital and talent, shape the diffusion and commercialization of AI innovations. The editorial concludes that successful AI-driven entrepreneurship requires treating AI not merely as a technological solution but as an organizational system combining technological capabilities, human competencies, and institutional support structures.
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    Additively manufactured Ti6Al4V with controlled surface structure as a potential material for joint implants: Long-term wear performance and durability
    (Elsevier, 2025-12-19) Odehnal, Lukáš; Ranuša, Matúš; Čípek, Pavel; Malý, Martin; Mazánová, Veronika; Dlouhý, Antonín; Koutný, Daniel; Hartl, Martin; Vrbka, Martin
    In this study, a comprehensive investigation of long-term wear and extended fluorescent experiments was supported by microstructural and chemical analysis. The aim was to compare the differences between a 3D printed Ti6Al4V alloy with a controlled surface structure created directly during the 3D printing process with a conventionally manufactured CoCr30Mo6 alloy. The primary equipment consisted of two tribometers with a pin-on-plate configuration. This enabled conducting these two types of experiments under kinematic and load conditions closely resembling in vivo environments. The Ti6Al4V alloy consistently outperformed the conventional alloy, showing lower wear of the UHMWPE plate and the tested pins. Additionally, fluorescence microscopy revealed that lubrication film formation was more stable for Ti6Al4V, with longer retention of all model synovial fluid constituents in the contact area. The results demonstrate the potential of 3D printed Ti6Al4V alloy as a material for frictional surfaces in joint implants. However, there are still opportunities for improvement, such as applying coatings to enhance performance.
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    Diagnostika porúch komponent prevodoviek na základe dát
    (Vysoké učení technické v Brně. Fakulta strojního inženýrství) Rekem, Jakub; Štětina, Josef; Koňas, Petr; Hercík, Radim
    Algoritmy strojového a hlbokého učenia pre diagnostiku porúch ložísk a ozubených kolies preukázali silnú rozlišovaciu schopnosť v laboratórnych podmienkach ale prechod do praxe je pri nich stále predmetom výskumu. V tejto práci bola vytvorená rešerš súčasných metód automatického odhaľovania porúch komponentov prevodoviek. Bolo zistené, že využitie existujúcich znalostí o dynamike prevodoviek, ktoré sú založené na fyzikálnom popise by mohlo zlepšiť presnosť a odolnosť voči odchýlkam súčasných automatických diagnostických metód založených na analýze dát a umožniť ich využitie v praxi, napríklad ako súčasť diagnostických systémov vozidiel. Táto práca skúma prípad, keď je zložité získať popísané experimentálne merané dáta, a trénovanie učiaceho sa algoritmu využíva fyzikálne simulácie. Zostavené boli multi-body modely schopné simulovať lokálne poruchy ložísk a poruchy zubov ozubených kolies. Signál vibrácií je spracovaný obálkovou analýzou, a vložený do neurónovej siete s adaptáciou domény, ktorá využíva jednodimenzionálnu konvolúciu pre získanie príznakov a rekurentnú bunku pre zohľadnenie priestorového usporiadania príznakov. Bolo zistené, že adaptácia domény je kľúčovým prvkom pre úspešné využitie simulovaných dát pre diagnostiku porúch ložísk a ozubených kolies.
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    Wire arc directed energy deposition of AZ61 magnesium alloy fabricated using cold metal transfer
    (Springer Nature, 2026-01-10) Slavíček, Jakub; Šváb, Čeněk; Gneiger, Stefan; Hurník, Jakub; Procházka, Petr; Koutný, Daniel
    This research investigates the challenges and potential of Cold Metal Transfer (CMT) for Wire-Arc Additive Manufacturing (WAAM, also known as WADED – Wire-Arc Directed Energy Deposition) of AZ61 magnesium alloys. Despite the excellent properties of magnesium alloys, their processing is challenging due to high vapour pressure, low boiling point, flammability, and difficulties in maintaining a stable welding process. This study examines the effects of key CMT parameters, including boost phase current and duration, burn phase current, electrode speed, and short-circuit (SC) phase current. The results demonstrate that boost phase current, cycle time, droplet surface tension, and material consumption significantly influence deposition size and shape. By optimising these parameters, a stable and efficient welding process was achieved, improving contact angle and ensuring sufficient penetration. The optimised conditions enabled the fabrication of a 50-layer thin-walled component, highlighting the study’s contribution to advancing CMT applications in WADED processes.
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    Transient Plane-Wave Response of a Dual-Loaded Small-Loop Antenna: A Time-Domain Approach Using Quasi-Static Thin-Wire Partial Elements
    (IEEE, 2026-01-01) Mattucci, Elia; Štumpf, Martin; Antonini, Giulio
    An accurate circuit model of a two-port square-loop antenna is presented. The circuit consists of equivalent lumped elements based on the Quasi-Static (QS) Partial Element Equivalent Circuit (PEEC) method, under the thin-wire approximation. The introduced model is applied to calculate the transient port response for an impulsive electromagnetic (EM) plane-wave excitation, enabling separate electric and magnetic effects analysis. The presented results are validated with the aid of both state-of-the-art analytical solutions and PEEC method and with a commercial EM tool.