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International Conference on Semiconductor

作者： Ionela Nicoleta Irimescu Mihaela Deaconu Daniela Berger Nicolae Tarba Cosmin Catalin Mustaciosu Diana Iulia Savu Roxana-Cristina Popescu Eugen Scarlat Mona Mihailescu Simona Ioniță Ana Maria Pleava Applied Sciences Doctoral School National University of Science and Technology Politehnica Bucharest Medist Imaging & Point of Care Bucharest Romania CAMPUS Research Institute National University of Science and Technology Politehnica Bucharest Romania Department of Inorganic Chemistry Physical Chemistry & Electrochemistry National University of Science and Technology Politehnica Bucharest Romania Computer Sciences Doctoral School Physics Department National University of Science and Technology Politehnica Bucharest Romania Department of Life and Environmental Sciences “Horia Hulubei” National Institute for Research and Development in Physics and Nuclear Engineering Magurele Romania Department of Bioengineering and Biotechnology Faculty of Medical Engineering Politehnica Bucharest Romania Physics Department National University for Science and Technology Politehnica Bucharest Bucharest Romania Physics Department Fundamental Sciences Applied in Engineering Research Center CAMPUS Research Center Politehnica University Bucharest Romania Chemical Engineering Doctoral School National University of Science and Technology Politehnica Bucharest Romania CAMPUS Research Center U. N. S. T. National University of Science and Technology Politehnica Bucharest Romania

ISBN: (数字)9798350352078

ISBN: (纸本)9798350352085

Hyperspectral images of cultured cells incubated with mesoporous silica-based nanoparticles (NPs) functionalized with phenylboronic acid derivative and loaded with doxorubicin and resveratrol were analyzed to establish incorporation percentage. We designed and developed a digital tool, which extended the standard procedure, by combining spectral angle mapper with assisted segmentation and counting operations. It provides the percentage of pixels in which the spectral fingerprint of the NPs is found. The analysis is carried out at the cell level and points out the similarities and differences between cell lines and types of NPs.

关键词： Nanoparticles Image segmentation Microscopy Cells (biology) Fingerprint recognition Fibroblasts Breast cancer Mesoporous materials Standards Hyperspectral imaging

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Applying layered graphs to evidence centered design based serious games assessment 17

Applying layered graphs to evidence centered design based se...

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17th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2020

作者： Argasinski, Jan K. Grabska-Gradzinska, Iwona Department of Games Technology Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University in Krakow Poland

ISBN: (纸本)9789898704221

In this paper authors propose idea for inclusion of the Evidence Centered-Design (ECD) driven assessments into graph- based scenarios/levels generating system. The concept is to position ECD's evidences as elements of layered graphs representing game state and possible player's/student's actions. Graph's series of productions can be then compared to task assigned to player/student and evaluated. This mechanism combines one of the most popular methods of designing educational assessments with procedural generation of scenarios/levels and with core ideas derived from game design - such as concept of mechanics, represented here as the game design patterns. © 2020 17th International Conference on Cognition and Exploratory Learning in Digital Age, CELDA 2020. All rights reserved.

关键词： Serious games

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Real-time broadening of bath-induced density profiles from closed-system correlation functions

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Physical Review E 2023年第2期108卷 024102-024102页

作者： Tjark Heitmann Jonas Richter Jacek Herbrych Jochen Gemmer Robin Steinigeweg Department of Mathematics/Computer Science/Physics University of Osnabrück D-49076 Osnabrück Germany Department of Physics Stanford University Stanford California 94305 USA Institut für Theoretische Physik Leibniz Universität Hannover Appelstraße 2 D-30167 Hannover Germany Institute of Theoretical Physics Faculty of Fundamental Problems of Technology Wrocław University of Science and Technology 50-370 Wrocław Poland

The Lindblad master equation is one of the main approaches to open quantum systems. While it has been widely applied in the context of condensed matter systems to study properties of steady states in the limit of long times, the actual route to such steady states has attracted less attention yet. Here, we investigate the nonequilibrium dynamics of spin chains with a local coupling to a single Lindblad bath and analyze the transport properties of the induced magnetization. Combining typicality and equilibration arguments with stochastic unraveling, we unveil for the case of weak driving that the dynamics in the open system can be constructed on the basis of correlation functions in the closed system, which establishes a connection between the Lindblad approach and linear response theory at finite times. In this way, we provide a particular example where closed and open approaches to quantum transport agree strictly. We demonstrate this fact numerically for the spin-1/2 XXZ chain at the isotropic point and in the easy-axis regime, where superdiffusive and diffusive scaling is observed, respectively.

关键词： Diffusion Nonequilibrium statistical mechanics Open quantum systems Quantum transport Transport phenomena 1-dimensional spin chains Nonequilibrium systems Quantum many-body systems Heisenberg model Master equation Quantum master equation Spin chains

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Eye-tracking in Mixed Reality for Diagnosis of Neurodegenerative Diseases

Eye-tracking in Mixed Reality for Diagnosis of Neurodegenera...

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Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

作者： Mateusz Daniol Daria Hemmerling Jakub Sikora Pawel Jemiolo Marek Wodzinski Magdalena Wojcik-Pedziwiatr Faculty of Electrical Engineering Automatics Computer Science and Biomedical Engineering AGH University of Kraków Krakow Poland Information Systems Institute University of Applied Sciences Western Switzerland (HES-SO Valais) Sierre Switzerland Department of Neurology Andrzej Frycz Modrzewski Krakow University Krakow Poland

ISBN: (数字)9798350371499

ISBN: (纸本)9798350371505

Parkinson’s disease ranks as the second most prevalent neurodegenerative disorder globally. This research aims to develop a system leveraging Mixed Reality capabilities for tracking and assessing eye movements. In this paper, we present a medical scenario and outline the development of an application designed to capture eye-tracking signals through Mixed Reality technology for the evaluation of neurodegenerative diseases. Additionally, we introduce a pipeline for extracting clinically relevant features from eye-gaze analysis, describing the capabilities of the proposed system from a medical perspective. The study involved a cohort of healthy control individuals and patients suffering from Parkinson’s disease, showcasing the feasibility and potential of the proposed technology for non-intrusive monitoring of eye movement patterns for the diagnosis of neurodegenerative *** relevance— Developing a non-invasive biomarker for Parkinson’ s disease is urgently needed to accurately detect the disease’s onset. This would allow for the timely introduction of neuroprotective treatment at the earliest stage and enable the continuous monitoring of intervention outcomes. The ability to detect subtle changes in eye movements allows for early diagnosis, offering a critical window for intervention before more pronounced symptoms emerge. Eye tracking provides objective and quantifiable biomarkers, ensuring reliable assessments of disease progression and cognitive function. The eye gaze analysis using Mixed Reality glasses is wireless, facilitating convenient assessments in both home and hospital settings. The approach offers the advantage of utilizing hardware that requires no additional specialized attachments, enabling examinations through personal eyewear

关键词： Wireless communication Tracking Pipelines Mixed reality Gaze tracking Feature extraction Reliability Monitoring Medical diagnostic imaging Diseases

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Optimization of Carbon Dot Deposition on Polycarbonate Substrates Via Non-Thermal Plasma: Exploring its Superhydrophobic Properties and Ph Sensing Capabilities

SSRN

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SSRN 2024年

作者： Selvaraj, Yuvaraj Venkatraman, M.R. Govindaraj, Rajesh Carrasco, Marcos Flores Natarajan, Muthukumarasamy Velauthapillai, Dhayalan Devaraj, Kamalraj Yoganand, Cp. Jaffer, Syed S. Department of Physics Coimbatore Institute of Technology Coimbatore641014 India Department of Physics Sri Shakthi Institute of Engineering and Technology Coimbatore641062 India Centre for Computational Modelling Chennai Institute of Technology Chennai600069 India Centre for Research in Pure and Applied Sciences JAIN [Deemed-to-be-University Bengaluru560069 India Department of Physics Faculty of Physical and Mathematical Sciences University of Chile Santiago265 Chile Department of Computer Science Electrical Engineering and Mathematical Sciences Western Norway University of Applied Science Bergen5063 Norway Department of Chemistry Coimbatore Institute of Technology Coimbatore641014 India

Carbon dots (CDs) are a class of highly photoluminescent nanomaterials that are less toxic, exhibit good compatibility in biological studies, and they are of sizes typically below 10 nm. In the present work, CDs were implanted on the surface of polycarbonate (PC) using the DC glow discharge non-thermal plasma technique. Plasma processing is a versatile technique to produce nanomaterials that can be used for biomedical and sensor applications. Monitoring the input voltage, processing time, and gas flow-rate are the crucial parameters that play a major role in optimal processing to impregnate CDs on PC. Acetylene plasma processed PC was subjected to an acid isolation process for accumulation of CDs and to test its usage in pH sensing and optical applications. Structural and graphitic layer formation of CDs on PC was studied through Raman spectroscopy, amorphous nature of the samples were observed from the XRD results. The uniform distribution of carbons over the PC was witnessed from the FESEM images and the isolated CDs were identified through and TEM microscopic images. The pH-sensitive photoemission property of acid isolated CDs was analyzed using fluorescence spectrophotometer and the observed results from 3D-contour fluorescent spectra revealed that the KMnO4 treated CDs showed interesting behaviour that can be used in biological pH sensors. The superhydrophobic nature of the prepared samples were observed through the contact angles measurements for water and blood respectively. Contact angle results suggest that the plasma processed CDs can be used in applications involving blood contact devices. © 2024, The Authors. All rights reserved.

关键词： pH sensors

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Significance of Benthic Alkalinity Flux Resulting from Anoxic Diagenesis in a Marine Basin with High River Inflow

SSRN

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SSRN 2024年

作者： Lukawska-Matuszewska, Katarzyna Kwiatkowska, Julia Brodecka-Goluch, Aleksandra Dwornik, Maciej University of Gdańsk Faculty of Oceanography and Geography al. Marszalka J. Pilsudskiego 46 Gdynia81-378 Poland AGH University of Krakow Faculty of Geology Geophysics and Environmental Protection Department of Geoinformatics and Applied Computer Science al. A. Mickiewicza 30 Krakow30-059 Poland

Alkalinity generation in marine sediments and its release into the water column is significant in terms of seawater's ability to absorb CO2 from the atmosphere, especially in shelf seas where due to the shallow depth sediment processes can have a considerable impact on seawater chemistry. Our study considering different types of anoxic shelf sediments shows that benthic alkalinity flux depends on the season, bottom water oxygenation and availability of oxidants for organic matter mineralization, making it highly variable spatially and temporally. Benthic alkalinity fluxes were determined in the southern part of the Baltic Sea - Gdańsk Basin, which is strongly influenced by inflow from the land along with the Vistula, the second largest river flowing into the Baltic Sea. The obtained benthic flux of alkalinity from anaerobic sediments was 1911±744 µmol m-2 day-1, while the alkalinity load entering the Gulf of Gdańsk from sediments was 0.70±0.27 Mmol km-2 yr-1. This means that anaerobic sediments have similar, if not greater, potential to be a significant source of alkalinity in seawater in the southern Baltic Sea than the soil in the catchment. As eutrophication increases and anaerobic bottom areas spread, the sediment zone where methanogenesis occurs can be expected to expand. In this case, we argue that the role of sediment as an internal source of alkalinity will increase. The oxidation of increased amounts of methane will result in a high benthic flux of dissolved inorganic carbon to the bottom water, contributing to the buffer capacity of seawater and counteracting the acidification resulting from the increase in the partial pressure of CO2 in the atmosphere and water. © 2024, The Authors. All rights reserved.

关键词： Alkalinity

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Thermal Degradation and Ablation Performance of Methylpolysiloxane - B4C Composite

SSRN

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SSRN 2023年

作者： Kateusz, Filip Baciak, Filip Bisztyga-Szklarz, Magdalena Podsiadlo, Marcin Putyra, Piotr Lukasiewicz Research Network Krakow Institute of Technology Zakopiańska 73 Str. Kraków30-418 Poland Faculty of Materials Science and Ceramics AGH-University of Science and Technology Mickiewicza 30 Kraków30-059 Poland Faculty of Physics University of Warsaw Pasteura 5 Warszawa02-093 Poland

Methylpolysiloxane is being considered as a matrix for modern ablative composites. Selected features can be enhanced by addition of materials from ultra-high temperature ceramics group, for example boron carbides. In this work, methylpolysiloxane resins as an ablative material and the effects of glass-forming ceramic additive (10 wt. %) B4C on their ablative resistance and degradation kinetics were investigated. Thermogravimetric analysis in argon atmosphere and synthetic air up to 1500°C show 3 or 4 stages of degradation, changes in activation energy of the different stages and changes in final sample mass depending on its composition. In addition, the structural X-ray radiography (XRD) studies carried out on the surface of ablated materials provided an estimate of the phase contributions formed as a result of exposure to extreme corrosive conditions. The effect of the presence of powders on the amount of SiO2 glassy phase, β-SiC crystalline phase and free carbon precipitates formed is apparent. The mechanism of ablative degradation for each of the variants tested is defined. © 2023, The Authors. All rights reserved.

关键词： Activation energy

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Fusion-based Digital Twin Framework with Convolutional Neural Networks (CNN) for Real-Time Threat Detection and Image Enhancement in Low-Light IoT Environments 2

Fusion-based Digital Twin Framework with Convolutional Neura...

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2nd IEEE International Conference on Integrated Intelligence and Communication Systems, ICIICS 2024

作者： Kumar, K. Ashok Barmola, Pareshwar Prasad Velmurugan, S.P. Manjunath, A.C. Soni, Umang Maranan, Ramya Department of Physics B V Raju Institute of Technology Medak Narsapur India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun India Department of Electronics and Communication Engineering Kalasalingam Academy of Research and Education Krishankoil India Department of Mechanical Engineering Brindavan college of Engineering Bangalore India Faculty of Engineering and Technology Parul institute of Engineering and Technology Vadodara India Department of Research and Innovation Saveetha School of Engineering SIMATS Chennai India

ISBN: (纸本)9798331504960

Image acquisition in low-light environments often suffers from poor contrast, high noise, and loss of fine details, making effective enhancement challenging. Conventional enhancement methods frequently fail to balance detail preservation and noise suppression. This paper introduces a novel fusion-based technique for enhancing images captured in low-light settings. The proposed method integrates multi-scale decomposition, adaptive histogram equalization, and wavelet transform to improve image quality. Multi-scale decomposition captures critical structural information, adaptive histogram equalization adjusts intensity levels for enhanced contrast, and wavelet transform reduces noise while refining image details. Evaluation on standard low-light image datasets demonstrates that this method outperforms current state-of-the-art techniques. The enhanced images show a peak signal-to-noise ratio (PSNR) of 32.45 dB and a structural similarity index (SSIM) of 0.87, reflecting an 18% improvement in PSNR and a 12% gain in SSIM over traditional methods. Additionally, the technique reduces noise variance by 20% and enhances visual clarity, making it suitable for applications such as surveillance, medical imaging, and autonomous driving. In conclusion, this fusion-based approach provides an effective solution for low-light image enhancement, maintaining critical details and achieving improved visual quality through balanced contrast enhancement and noise reduction. © 2024 IEEE.

关键词： Wavelet decomposition

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Preparation and physico-chemical characterization of AISI 304 stainless steel film deposited by DC magnetron sputtering

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Journal of Magnetism and Magnetic Materials 2025年 628卷

作者： Tomko, Samuel Pechoušek, Jiří Tuček, Jiří Kuzmann, Ernő Heger, Vítězslav Dubiel, Stanislaw M. Machala, Libor Department of Experimental Physics Faculty of Science Palacký University 17. Listopadu 1192/12 Olomouc779 00 Czech Republic Hella Autotechnik Nova s.r.o. Družstevní 16 Mohelnice789 85 Czech Republic Research Centre Faculty of Electrical Engineering and Informatics University of Pardubice Studentská 95 Pardubice530 02 Czech Republic Institute of Chemistry Eötvös Loránd University 1117 Budapest Pázmány Péter Sétány 1 /A Hungary Faculty of Physics and Applied Computer Science AGH University of Krakow Al. A. Mickiewicza 30 Kraków30-059 Poland

The present study reports on the preparation and physico-chemical investigation of a 2 µm thick film produced from AISI 304 stainless steel by DC magnetron sputtering. A phase transformation from the conventionally non-magnetic Face-Centered Cubic (FCC) phase of austenite (γ-Fe) nature to a predominantly Body-Centered Cubic (BCC) ferromagnetic single phase (α-Fe) during the deposition is observed upon the deposition process. The deposited films are characterized by various experimental techniques including Scanning Electron Microscopy (SEM) with Energy-Dispersive X-ray spectroscopy (EDX), X-Ray powder Diffraction (XRD), Grazing-Incidence X-Ray powder Diffraction (GIXRD), and Mössbauer Spectroscopy (MS) in both transmission and back-scattered geometry. For interpretation of the Mössbauer spectra of the film, a physico-chemical model based on distinct micromagnetic environments evolved due to alloying elements is suggested. The results, presented within this study, may stimulate further and detailed research in identifying the causes for the phase transition from both theoretical and experimental perspectives and understanding the underlying mechanisms. © 2025 Elsevier B.V.

关键词： Sputtering

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PyPartMC: A Pythonic interface to a particle-resolved, Monte Carlo aerosol simulation framework

arXiv

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arXiv 2023年

作者： D'Aquino, Zachary Arabas, Sylwester Curtis, Jeffrey H. Vaishnav, Akshunna Riemer, Nicole West, Matthew Atmospheric Sciences University of Illinois Urbana-Champaign UrbanaIL United States Physics and Applied Computer Science AGH Univeristy of Krakow Kraków Poland Electrical and Computer Engineering University of Illinois Urbana-Champaign UrbanaIL United States Mechanical Science and Engineering University of Illinois Urbana-Champaign UrbanaIL United States

PyPartMC is a Pythonic interface to PartMC, a stochastic, particle-resolved aerosol model implemented in Fortran. Both PyPartMC and PartMC are free, libre, and open-source. PyPartMC reduces the number of steps and mitigates the effort necessary to install and utilize the resources of PartMC. Without PyPartMC, setting up PartMC requires: working with UNIX shell, providing Fortran and C libraries, and performing standard Fortran and C source code configuration, compilation and linking. This can be challenging for those less experienced with computational research or those intending to use PartMC in environments where provision of UNIX tools is less straightforward (e.g., on Windows). PyPartMC offers a single-step installation/upgrade process of PartMC and all dependencies through the pip Python package manager on Linux, macOS, and Windows. This allows streamlined access to the unmodified and versioned Fortran internals of the PartMC codebase from both Python and other interoperable environments (e.g., Julia through PyCall). In particular, PyPartMC can be set up to handle the time-stepping loop for PartMC simulations making it possible to couple PartMC with other Python-interoperable packages, for either online diagnostics or additional simulation logic. Altogether, users of PyPartMC can setup, run, process and visualize output of PartMC simulations using a single general-purpose programming language. Copyright © 2023, The Authors. All rights reserved.

关键词： Python

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