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Cell sheet engineering platforms integrating antibacterial and thermo-responsive functionalities: Cu-nanoparticle-loaded P4VP brushes for retinal cell sheet harvesting

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Chemical Engineering Journal 2025年 513卷

作者： Cieślik, Anna Shymborska, Yana Tymetska, Svitlana Stetsyshyn, Yurij Bernasik, Andrzej Brzychczy-Wloch, Monika Drożdż, Kamil Szajna, Konrad Krok, Franciszek Budkowski, Andrzej Raczkowska, Joanna Jagiellonian University Doctoral School of Exact and Natural Sciences Lojasiewicza 11 Kraków30-348 Poland Jagiellonian University Faculty of Physics Astronomy and Applied Computer Science Smoluchowski Institute of Physics Lojasiewicza 11 Kraków30-348 Poland Lviv Polytechnic National University St. George's Square 2 Lviv79013 Ukraine Faculty of Physics and Applied Computer Science AGH University in Krakow al. Mickiewicza 30 Kraków30-049 Poland Chair of Microbiology Department of Molecular Medical Microbiology Faculty of Medicine Jagiellonian University Medical College Czysta 18 Kraków31-121 Poland

Integrating antibacterial functionality directly into platforms for cell sheet engineering (CSE) would offer proactive defense against bacterial contamination and improve the safety and efficacy of CSE in cell-based therapies. This study demonstrates the potential of poly(4-vinylpyridine) polymer brushes with embedded copper nanoparticles (P4VP&Cu) as innovative CSE platforms, using the adult retinal pigment epithelial cell line (ARPE-19). The unique properties of such coatings, which combine the thermo-responsiveness of the polymer brush with the strong antibiocidal activity of copper, were traced using an interdisciplinary approach to provide information on the physicochemical properties of coatings, and confirm their cytocompatibility, and antibacterial effect through the contact- and release-killing mechanisms as a function of temperature. In particular, differentiated ARPE-19 cells cultured on P4VP coatings demonstrated spontaneous thermo-triggered detachment of intact cell sheets, which preserved their biological activity. This effect was maintained on P4VP&Cu coatings, which exhibited superior antibacterial activity without compromising cell viability in addition to resistance to protein adsorption. These findings highlight the potential of P4VP&Cu coatings as next-generation CSE platforms, combining effective antimicrobial defense with precise thermo-responsive functionality. © 2025 Elsevier B.V.

关键词： Cell engineering

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Formation of Complex Discrete Time Crystals with Ultracold Atoms

arXiv

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arXiv 2025年

作者： Golletz, Weronika Sacha, Krzysztof Faculty of Physics Astronomy and Applied Computer Science Institute of Theoretical Physics Jagiellonian University Lojasiewicza 11 KrakowPL-30-348 Poland Doctoral School of Exact and Natural Sciences Jagiellonian University Lojasiewicza 11 KrakowPL-30-348 Poland

We study discrete time crystal formation in a system driven periodically by an oscillating atomic mirror, consisting of two distinct ultracold atomic clouds in the presence of a gravitational field. The intra-species interactions are weak and attractive, while the inter-species interactions are infinitely strong and repulsive. The clouds are arranged in a one-dimensional stack, where the bottom cloud bounces on an oscillating atomic mirror, which effectively acts as a driving force for the upper cloud due to the infinite inter-species repulsion. Using a Jastrow-like variational ansatz for the many-body wavefunction, we show that sufficiently strong attractive intra-species interactions drive each subsystem to spontaneously break discrete time translation symmetry, resulting in the formation of a complex discrete time crystal evolving with a period different than the driving period. Since the bottom cloud serves as the effective periodic driving for the upper cloud, this leads to a cascade of spontaneous symmetry breaking. With increasing intra-species interactions, we first observe a pronounced effect of spontaneous time translation symmetry breaking in the upper cloud, followed by a similar effect in the lower atomic cloud. © 2025, CC BY.

关键词： Atoms

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Performance Comparison of Various Dual-Band AMC Structures Using Textile Materials

Performance Comparison of Various Dual-Band AMC Structures U...

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International Electrical Engineering Congress (iEECON)

作者： Yotrawee Hengroemyat Wanwisa Thaiwirot Prayoot Akkaraekthalin Nonchanutt Chudpooti Department of Electrical and Computer Engineering Faculty of Engineering King Mongkut’s University of Technology North Bangkok Bangkok Thailand Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand

ISBN: (数字)9798331543952

ISBN: (纸本)9798331543969

This paper presents the performance comparison of various dual-band AMC structures using textile materials. The textile AMC structure includes of the inner patch and outer loop to achieve dual-band operation. The felt is used as substrate of AMC unit cell while the copper-nickel plated polyester fabric is used as conductive parts. The various geometries of AMC unit cell based on square, circle, hexagon, octagon shapes are designed to operate at 2.4/5.5 GHz for WBAN and Wi-Fi applications. Moreover, the performance of AMC unit cell structures is compared in term of size and bandwidth. It is found from simulation results that the inner square patch and outer square loop can provide compact size and wider bandwidth. The hexagon shape can achieve compact size when it is arranged in form of array.

关键词： Geometry Wireless communication Shape Simulation Dual band Bandwidth Reflector antennas Substrates Wireless fidelity Textiles

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Competing charge density wave phases in YNiC2

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Physical Review B 2025年第19期111卷 195101-195101页

作者： Marta Roman Simone Di Cataldo Berthold Stöger Lisa Reisinger Emilie Morineau Kamil K. Kolincio Herwig Michor Institute of Solid State Physics TU Wien Wiedner Hauptstrasse 8-10 A-1040 Wien Austria Institute of Physics and Applied Computer Science Faculty of Applied Physics and Mathematics Gdańsk University of Technology Narutowicza 11/12 80-233 Gdańsk Poland Dipartimento di Fisica Sapienza University of Rome Piazzale Aldo Moro 5 00185 Rome Italy X-Ray Center TU Wien Getreidemarkt 9 A-1060 Wien Austria Faculty of Applied Physics and Mathematics Gdańsk University of Technology Narutowicza 11/12 80-233 Gdańsk Poland

Charge density wave (CDW) orders in YNiC2 are studied by means of combined experimental and computational techniques. On the experimental side, single crystals grown by the floating-zone method were examined by means of x-ray diffraction, as well as transport and thermal techniques. Density functional theory (DFT) calculations founded on the experimentally determined parent and CDW-modified crystal structures provide details of electronic and phononic structures as well as electron-phonon coupling and resolve changes inflicted upon entering the different CDW phases. Thereby, contrasting effects of subsequently emerging CDW states characterized by incommensurate q1ic and commensurate q2c modulation vectors are revealed. The former state, on-setting below T1ic≃305K, weakly modifies the electronic structure by opening an almost isotropic gap on a minor part of the Fermi surface (FS). The latter phase, which takes over below T2c≃272K has a more pronounced impact on physical properties via a decomposition of larger parts of the FS. These dissimilar behaviors are directly reflected in the electronic transport anisotropy, which is significantly weakened in the q2c-type CDW state. As revealed by our DFT studies, CDW phases are very close in energy and their origin is directly related to the anisotropy of electron-phonon coupling, which is linked to a specific orbital character of related FS sheets. Specific heat and thermal expansion studies reveal a nearly reversible first-order phase transition at around T2c≃272K, where both CDW phases coexist within a T interval of about 10 K.

关键词： Charge density waves

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Synergistic eigenanalysis of covariance and Hessian matrices for enhanced binary classification on health datasets

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computers in Biology and Medicine 2025年 190卷 109985-109985页

作者： Hartoyo, Agus Argasiński, Jan Trenk, Aleksandra Przybylska, Kinga Blasiak, Anna Crimi, Alessandro Sano – Centre for Computational Personalised Medicine International Research Foundation Krakow Poland Department of Neurophysiology and Chronobiology Institute of Zoology and Biomedical Research Faculty of Biology Jagiellonian University Krakow Poland AGH University of Krakow Krakow Poland School of Computing Telkom University Bandung Indonesia Department of Human-Centered Artificial Intelligence Institute of Applied Computer Science Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University Krakow Poland Doctoral School of Exact and Natural Sciences Jagiellonian University Krakow Poland

Covariance and Hessian matrices have been analyzed separately in the literature for classification problems. However, integrating these matrices has the potential to enhance their combined power in improving classification performance. We present a novel approach that combines the eigenanalysis of a covariance matrix evaluated on a training set with a Hessian matrix evaluated on a deep learning model to achieve optimal class separability in binary classification tasks. Our approach is substantiated by formal proofs that establish its capability to maximize between-class mean distance (the concept of separation) and minimize within-class variances (the concept of compactness), which together define the two linear discriminant analysis (LDA) criteria, particularly under ideal data conditions such as isotropy around class means and dominant leading eigenvalues. By projecting data into the combined space of the most relevant eigendirections from both matrices, we achieve optimal class separability as per these LDA criteria. Empirical validation across neural and health datasets consistently supports our theoretical framework and demonstrates that our method outperforms established methods. Our method stands out by addressing both separation and compactness criteria, unlike PCA and the Hessian method, which predominantly emphasize one criterion each. This comprehensive approach captures intricate patterns and relationships, enhancing classification performance. Furthermore, through the utilization of both LDA criteria, our method outperforms LDA itself by leveraging higher-dimensional feature spaces, in accordance with Cover's theorem, which favors linear separability in higher dimensions. Additionally, our approach sheds light on complex DNN decision-making, rendering them comprehensible within a 2D space. © 2025

关键词： Covariance matrix

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PARTITION FUNCTION ZEROS OF PATHS AND NORMALIZATION ZEROS OF ASEPS

arXiv

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arXiv 2025年

作者： Burda, Zdzislaw Johnston, Desmond A. AGH University of Krakow Faculty of Physics and Applied Computer Science al. Mickiewicza 30 Kraków30-059 Poland School of Mathematical and Computer Sciences Heriot-Watt University Riccarton EdinburghEH14 4AS United Kingdom

We exploit the equivalence between the partition function of an adsorbing Dyck walk model and the Asymmetric Simple Exclusion Process (ASEP) normalization to obtain the thermodynamic limit of the locus of the ASEP normalization zeros from a conformal map. We discuss the equivalence between this approach and using an electrostatic analogy to determine the locus, both in the case of the ASEP and the random allocation model. © 2025, CC BY.

关键词： Conformal mapping

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First-principles investigation of Rb2CaH4 and Cs-doped Rb2CaH4: Unveiling their potential for hydrogen storage through mechanical and optoelectronic properties

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International Journal of Hydrogen Energy 2025年 116卷 462-472页

作者： Azam, Sikander Rafiq, Qaiser Elsharkawy, Eman Ramadan Khan, Muhammad Tahir El-Bahy, Salah M. Khan, Wilayat Khan, Saleem Ayaz Faculty of Engineering and Applied Sciences Riphah International University Islamabad44000 Pakistan Center for Health Research Northern Border University Arar Saudi Arabia Department of Chemistry Faculty of Science Northern Border University Arar91431 Saudi Arabia School of Computer Science and Technology Zhejiang Normal University Jinhua China Key Laboratory of Urban Rail Transit Intelligent Operation and Maintenance Technology & Equipment of Zhejiang Province College of Engineering Zhejiang Normal University Jinhua China Department of Chemistry Turabah University College Taif University P.O. Box 11099 Taif21944 Saudi Arabia Department of Physics Bacha Khan University KP Charsadda Pakistan New Technologies e Research Center University of West Bohemia Univerzitni 8 306 14 Pilsen Czech Republic

This study uses the density functional theory (DFT) approach with GGA-PBE to assess the effect of substituting alkali metals in Rb2CaH4 and Cs-doped Rb2CaH4 on their hydrogen storage potential. To address the challenges associated with predicting accurate electronic properties in materials containing heavier elements such as cesium, spin-orbit coupling (SOC) effects have been incorporated into our calculations. The mechanical robustness of both Rb2CaH4 and Cs-doped Rb2CaH4, as demonstrated by their mechanical properties, highlights these materials as promising candidates due to their stability in hydrogen storage applications. Anisotropic factors show that all materials exhibit anisotropy, suggesting a directional dependency in their properties. The Pugh ratio indicates that Rb2CaH4 and Cs-doped Rb2CaH4 are brittle materials. Based on the calculated band gap, the electronic band structure analysis, conducted using both HSE06 and GGA-PBE, shows that Rb2CaH4 and Cs-doped Rb2CaH4 are wide-bandgap materials. Rb2CaH4 and Cs-doped Rb2CaH4 exhibit the highest optical conductivity, absorption coefficient, and energy loss function among optoelectronic materials, emphasizing their superior absorption and electron transfer capabilities. The hydrogen storage capacity has been evaluated for practical applications;Rb2CaH4 and Cs-doped Rb2CaH4 show the highest gravimetric and volumetric capacities. © 2025 Hydrogen Energy Publications LLC

关键词： Optical conductivity

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Classification of Wheat Species Using Convolutional Neural Networks: A Comparative Study 8th

Classification of Wheat Species Using Convolutional Neural ...

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8th EAI International Conference on Future Access Enablers of Ubiquitous and Intelligent Infrastructures, FABULOUS 2024

作者： Kowalski, Piotr A. Jeczmionek, Ernest Charytanowicz, Malgorzata Lukasik, Szymon Niewczas, Jerzy Kulczycki, Piotr Faculty of Physics and Applied Computer Science AGH University of Krakow al. A. Mickiewicza 30 Cracow30-059 Poland Polish Academy of Sciences Systems Research Institute ul. Newelska 6 Warsaw01-447 Poland Doctoral School at AGH Krakow al. A. Mickiewicza 30 Cracow30-059 Poland Department of Computer Science Lublin University of Technology ul. Nadbystrzycka 36B Lublin20-618 Poland Department of Microstructure and Mechanics of Biomaterials Institute of Agrophysics PAS Doswiadczalna 4 Lublin20-290 Poland

ISBN: (纸本)9783031723926

This paper introduces a novel image dataset tailored for evaluating machine learning solutions, particularly focusing on deep neural networks. Derived from X-ray images of wheat grains, the dataset encompasses three distinct species: Kama, Rosa, and Canadian. We provide a comprehensive overview of the dataset’s structure and conduct experiments using ten pretrained deep neural networks to classify wheat species. The Seeds Image Data Set offers a competitive alternative to established object recognition benchmarks such as CIFAR-10, CIFAR-100, SVHN, and ImageNet. Its compact size streamlines computational processes, making it an efficient resource for exploratory data analysis. The dataset will be publicly available, serving as a foundational resource for future research endeavors in the field. © ICST Institute for computer sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Convolutional neural networks

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Acceptance dependence of factorial cumulants, long-range correlations, and the antiproton puzzle

arXiv

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arXiv 2025年

作者： Bzdak, Adam Koch, Volker Vovchenko, Volodymyr AGH University of Krakow Faculty of Physics and Applied Computer Science Kraków30-059 Poland Nuclear Science Division Lawrence Berkeley National Laboratory 1 Cyclotron Road BerkeleyCA94720 United States Physics Department University of Houston 3507 Cullen Blvd HoustonTX77204 United States

We analyze joint factorial cumulants of protons and antiprotons in relativistic heavy-ion collisions and point out that they obey the scaling (Formula presented) as a function of acceptance when only long-range correlations are present in the system, such as global baryon conservation and volume fluctuations. This hypothesis can be directly tested experimentally without the need for corrections for volume fluctuations. We show that if correlations among protons and antiprotons are driven by global baryon conservation and volume fluctuations only, the equality (Formula presented) holds for large systems created in central collisions. We point out that the experimental data of the STAR Collaboration from phase I of RHIC beam energy scan are approximately consistent with the scaling (Formula presented), but the normalized antiproton correlations are stronger than that of protons, (Formula presented)2, indicating that global baryon conservation and volume fluctuations alone cannot explain the data. We also discuss high-order factorial cumulants which can be measured with sufficient precision within phase II of RHIC-BES. Copyright © 2025, The Authors. All rights reserved.

关键词： Heavy ions

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A comprehensive approach to assess odorous air quality of a selected wastewater treatment plant: Preliminary study

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Desalination and Water Treatment 2025年 322卷

作者： Jońca, Justyna Miller, Urszula Wróbel, Magdalena Bezyk, Yaroslav Włóka, Adriana Janicka, Anna Sówka, Izabela Faculty of Environmental Engineering Department of Environment Protection Engineering Wroclaw University of Science and Technology Wybrzeże Wyspiańskiego 27 Wrocław 50-370 Poland Faculty of Physics and Applied Computer Science Department of Applied Nuclear Physics AGH University of Krakow Mickiewicza 30 Krakow 30-059 Poland Faculty of Mechanical Engineering Division of Automotive Engineering Wroclaw University of Science and Technology Wybrzeże Wyspianskiego 27 Wroclaw 50-370 Poland

This study investigates the impact of selected wastewater treatment plant (WWTP) in Poland, focusing on the assessment of odorous air quality. Employing both, analytical and sensory methodologies, the research quantifies the levels of key odorants and provides insights into the human perception of odours. From these data, the Odour Activity Value (OAV) and the newly developed Odour Air Quality Index (OAQI) were calculated to evaluate odour quality, highlighting significant variations across different sections of the WWTP. Notably, the digesters and grating entry points were identified as critical areas with the highest OAVs, signifying major sources of odour emissions. The OAQI was strongly correlated with the OAV, suggesting that our analytical methods were effective in detecting the dominant odour compounds responsible for the odour profiles observed at the selected WWTP. Health risk assessments, based on the concentrations of hazardous airborne substances (HIT for non-carcinogenic risks and CRT for carcinogenic risks), indicated that the overall air quality at the facility was good. It is important to note that odour levels, while contributing to discomfort, were not directly linked to health risks. Additionally, comprehensive microbiological assessments indicated the digesters and grating entry points as main sources of microbial activity. These findings underscore the need for continuous monitoring and implementation of advanced odour control measures to enhance air quality at WWTPs. This preliminary study contributes to a deeper understanding of the complex interplay between water and wastewater operations, community health, and environmental management, offering actionable insights for policymakers and industry stakeholders. © 2025 The Authors

关键词： Electronic nose Field olfactometry Gas sensors Health risk assessment Odour activity value Odour air quality index Wastewater treatment plants

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