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International Conference on Nanomaterials: Application & Properties (NAP)

作者： Julia Mazurenko Larysa Kaykan Mariia Moklyak Khrystyna Bandura Lukasz Gondek Antoni Żywczak Department of Medical Informatics Medical and Biological Physics Ivano Frankivsk National Medical University Ivano Frankivsk Ukraine Laboratory for Physics of Magnetic Films №23 G. V. Kurdyumov Institute for Metal Physics of the National Academy of Sciences of Ukraine Kyiv Ukraine Department of Materials Science and New Technologies Vasyl Stefanyk Precarpathian National University Ivano Frankivsk Ukraine Faculty of Physics and Applied Computer Science AGH University of Krakow Cracow Poland Academic Centre for Materials and Nanotechnology AGH University of Krakow Cracow Poland

ISBN: (数字)9798350380125

ISBN: (纸本)9798350380132

In this study, a series of magnesium-substituted spinels with general compositions of $\mathbf{M g}_{x} \mathrm{Cu}_{1-\mathrm{x}} \mathrm{Fe}_{2} \mathrm{O}_{4}$, where x varies from 0.0 to 1.0 a step of 0.2, was synthesize via the solgel autocombustion method. Citric acid is used as the chelating agent. The phase composition, particle size, and morphology of the materials were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), and X-ray dispersion analysis. The effects of magnesium substitution on the magnetic properties of the samples were evaluated using a vibrating sample magnetometer (VSM). Additionally, degradation tests were conducted using spectrophotometer, with methylene blue (MB) selected as the model pollutant. The study demonstrates alterations in the structure and magnetic properties of the synthesized material. The spinel produced via self-combustion was found to be a mesoporous material with strong magnetic properties and significant sensitivity to visible light. Degradation tests using methylene blue as a pollutant showed effective dye removal, achieving 95% efficiency within 160 minutes. The copper spinel modified with magnesium ions proved to be an environmentally safe, stable, and effective photo-Fenton catalyst that is simple to synthesize and suitable for practical applications.

关键词： Ferrites Degradation X-ray scattering X-ray diffraction Ions Magnesium Copper Photocatalysts Saturation magnetization Magnetic properties

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Introduction to MATLAB

Advanced Textbooks in Control and Signal Processing

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Advanced Textbooks in Control and Signal Processing 2019年 1-27页

作者： Keviczky, László Bars, Ruth Hetthéssy, Jenő Bányász, Csilla Institute for Computer Science and Control Hungarian Academy of Sciences Budapest Hungary Department of Automation and Applied Informatics Budapest University of Technology and Economics Budapest Hungary

MATLAB™ is an interactive environment for scientific and engineering calculations, simulations, and data visualization. MATLAB™ provides a powerful platform to solve mathematical and engineering problems related to matrix algebra, differential equations, etc. MATLAB is especially effective in solving control problems. SIMULINK provides block-oriented simulation. The chapter gives a short introduction to MATLAB and SIMULINK. © Springer Nature Singapore Pte Ltd. 2019.

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RECOMED: A Comprehensive Pharmaceutical Recommendation System

arXiv

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arXiv 2022年

作者： Zomorodi, Mariam Ghodsollahee, Ismail Martin, Jennifer H. Talley, Nicholas J. Salari, Vahid Plawiak, Pawel Rahimi, Kazem Acharya, U. Rajendra Department of Computer Science Faculty of Computer Science and Telecommunications Cracow University of Technology Krakow Poland Department of Computer Engineering Ferdowsi University of Mashhad Iran The University of Newcastle CallaghanNSW Australia Institute for Quantum Science and Technology Department of Physics and Astronomy University of Calgary Alberta Canada Institute of Theoretical and Applied Informatics Polish Academy of Sciences Gliwice Poland Deep Medicine Nuffield Department of Women’s and Reproductive Health University of Oxford Oxford United Kingdom School of Mathematics Physics and Computing University of Southern Queensland ToowoombaQLD Australia

OBJECTIVES: To build datasets containing useful information from drug databases and recommend a list of drugs to physicians and patients with high accuracy by considering features of a spectrum of people, diseases, and chemicals. METHODS: A comprehensive pharmaceutical recommendation system was designed based on the features of a spectrum of people, diseases, and medicines extracted from two major drug databases, a dataset of patients and drug information. Then the recommendation was given, and the response was analysed using patient and caregiver ratings and the knowledge obtained from drug specifications and interactions. Sentiment analysis was employed by natural language processing approaches in pre-processing, along with neural network-based methods and recommender system algorithms for modelling the system. Patient conditions and medicine features were used for making two models based on matrix factorisation. Then we used drug interaction criteria to filter drugs with severe or mild interactions with other drugs. We developed a deep learning model for recommending drugs by using data from 2304 patients as a training set, and then we used data from 660 patients as our validation set. We used knowledge from critical drug information and combined the model’s outcome into a knowledge-based system with the rules obtained from constraints on taking medicine. RESULTS: The results show that our recommendation system can recommend an acceptable combination of medicines according to the existing real-life prescriptions available. Compared with conventional matrix factorisation, our proposed model improves the accuracy, sensitivity, and hit rate by 26%, 34%, and 40%, respectively. In addition, it improves the accuracy, sensitivity, and hit rate by an average of 31%, 29%, and 28% compared to other machine learning methods. We have open-sourced our implementation in Python. CONCLUSION: Compared to conventional machine learning approaches, we obtained average accuracy, sens

关键词： Recommender systems

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Efficient Formal Verification of Quantum Error Correcting Programs

arXiv

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arXiv 2025年

作者： Huang, Qifan Zhou, Li Fang, Wang Zhao, Mengyu Ying, Mingsheng State Key Laboratory of Computer Science Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School of Informatics University of Edinburgh Edinburgh United Kingdom University of Technology Sydney Sydney Australia

Quantum error correction (QEC) is fundamental for suppressing noise in quantum hardware and enabling fault-tolerant quantum computation. In this paper, we propose an efficient verification framework for QEC programs. We define an assertion logic and a program logic specifically crafted for QEC programs and establish a sound proof system. We then develop an efficient method for handling verification conditions (VCs) of QEC programs: for Pauli errors, the VCs are reduced to classical assertions that can be solved by SMT solvers, and for non-Pauli errors, we provide a heuristic algorithm. We formalize the proposed program logic in Coq proof assistant, making it a verified QEC verifier. Additionally, we implement an automated QEC verifier, Veri-QEC, for verifying various fault-tolerant scenarios. We demonstrate the efficiency and broad functionality of the framework by performing different verification tasks across various scenarios. Finally, we present a benchmark of 14 verified stabilizer codes. © 2025, CC BY.

关键词： Qubits

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Accuracy of Estimating the Mean from Rounded Data

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Journal of Mathematical sciences (United States) 2020年第4期246卷 565-568页

作者： Ushakov, N.G. Ushakov, V.G. Department of Mathematical Sciences Norwegian University of Science and Technology Trondheim Norway Department of Mathematical Statistics Lomonosov Moscow State University Moscow Russian Federation Institute of Informatics Problems Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences Moscow Russian Federation

Rounding errors are an important factor in many statistical problems;therefore, statistical analysis of rounded data has recently received growing interest. In this paper we obtain an estimate of accuracy of the sample mean as an estimator of location parameter from rounded data. In contrast to earlier works, where usually asymptotic properties of such estimators have been studied, here the bounds are obtained for finite samples. © 2020, Springer science+Business Media, LLC, part of Springer Nature.

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Max-Compound Cox Processes. II

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Journal of Mathematical sciences (United States) 2020年第4期246卷 488-502页

作者： Korolev, V. Sokolov, I. Gorshenin, A. Faculty of Computational Mathematics and Cybernetics Lomonosov Moscow State University Moscow Russian Federation Institute of Informatics Problems Federal Research Center “Computer Science and Control” Russian Academy of Sciences Moscow Russian Federation Hangzhou Dianzi University Hangzhou China

Extreme values are considered in samples with random size that have a mixed Poisson distribution generated by a doubly stochastic Poisson process. Limit theorems are proved for the distributions of max-compound Cox processes establishing necessary and sufficient conditions for the convergence of these distributions. © 2020, Springer science+Business Media, LLC, part of Springer Nature.

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Interpretable Gait Recognition by Granger Causality

arXiv

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arXiv 2022年

作者： Balazia, Michal Hlaváčková-Schindler, Kateřina Sojka, Petr Plant, Claudia INRIA Sophia Antipolis - Méditerranée 2004 Route des Lucioles Sophia Antipolis06902 France Faculty of Computer Science University of Vienna Währinger Strasse 29 Vienna1090 Austria Faculty of Informatics Masaryk University Botanická 68a Brno60200 Czech Republic Institute of Computer Science Czech Academy of Sciences Pod Vodárenskou věží 271/2 Prague18207 Czech Republic

Which joint interactions in the human gait cycle can be used as biometric characteristics? Most current methods on gait recognition suffer from the lack of interpretability. We propose an interpretable feature representation of gait sequences by the graphical Granger causal inference. Gait sequence of a person in the standardized motion capture format, constituting a set of 3D joint spatial trajectories, is envisaged as a causal system of joints interacting in time. We apply the graphical Granger model (GGM) to obtain the so-called Granger causal graph among joints as a discriminative and visually interpretable representation of a person’s gait. We evaluate eleven distance functions in the GGM feature space by established classification and class-separability evaluation metrics. Our experiments indicate that, depending on the metric, the most appropriate distance functions for the GGM are the total norm distance and the Ky-Fan 1-norm distance. Experiments also show that the GGM is able to detect the most discriminative joint interactions and that it outperforms five related interpretable models in correct classification rate and in Davies-Bouldin index. The proposed GGM model can serve as a complementary tool for gait analysis in kinesiology or for gait recognition in video *** Codes 68T05, 68T10 Copyright © 2022, The Authors. All rights reserved.

关键词： Gait analysis

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Non-integrable soliton gas: The Schamel equation framework

arXiv

引用

arXiv 2023年

作者： Flamarion, Marcelo V. Pelinovsky, Efim Didenkulova, Ekaterina Unidade Acadêmica do Cabo de Santo Agostinho UFRPE Rural Federal University of Pernambuco BR 101 Sul PE Cabo de Santo Agostinho54503-900 Brazil Faculty of Informatics Mathematics and Computer Science HSE University Nizhny Novgorod603155 Russia Il’ichev Pacific Oceanological Institute Far Eastern Branch Russian Academy of Sciences Vladivostok690041 Russia

Soliton gas or soliton turbulence is a subject of intense studies due to its great importance to optics, hydrodynamics, electricity, chemistry, biology and plasma physics. Usually, this term is used for integrable models where solitons interact elastically. However, soliton turbulence can also be a part of non-integrable dynamics, where long-lasting solutions in the form of almost solitons may exist. In the present paper, the complex dynamics of ensembles of solitary waves is studied within the Schamel equation using direct numerical simulations. Some important statistical characteristics (distribution functions, moments) are calculated numerically for unipolar and bipolar soliton gases. Comparison of results with integrable Korteweg-de Vries (KdV) and modified KdV (mKdV) models are given qualitatively. Our results agree well with the predictions of the KdV equation in the case of unipolar solitons. However, in the bipolar case, we observed a notable departure from the mKdV model, particularly in the behavior of kurtosis. The observed increase in kurtosis signifies the amplification of distribution function tails, which, in turn, corresponds to the presence of high-amplitude waves. Copyright © 2023, The Authors. All rights reserved.

关键词： Solitons

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Supervised classification using graph-based space partitioning for multiclass problems 25

Supervised classification using graph-based space partitioni...

引用

25th International Conference on Pattern Recognition, ICPR 2020

作者： Yanev, Nicola Valev, Ventzeslav Suliman, Karima Ben Krzyzak, Adam Institute of Mathematics and Informatics Bulgarian Academy of Sciences Sofia1113 Bulgaria Department of Computer Science and Software Engineering Concordia University MontrealQCH3G 1M8 Canada

ISBN: (纸本)9781728188089

We introduce and investigate in multiclass setting an efficient classifier which partitions the training data by means of multidimensional parallelepipeds called boxes. We show that multiclass classification problem at hand can be solved by combining the heuristic minimum clique cover approach and the k-nearest neighbor rule. Our algorithm is motivated by an algorithm for partitioning a graph into a minimal number of cliques. The main advantage of a new classifier called Box classifier is that it optimally utilizes the geometrical structure of the training set by reducing the l-class classification problem to a single nearest neighbor problem. We discuss computational complexity of the proposed Box classifier. The extensive experiments performed on the simulated and real data from UCI Machine Learning Repository for binary and multiclass problems show that in almost all cases the Box classifier performs significantly better than k-NN, SVM and decision trees. © 2020 IEEE

关键词： Decision trees

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Bipolar solitary wave interactions within the Schamel equation

arXiv

引用

arXiv 2023年

作者： Didenkulova, Ekaterina Pelinovsky, Efim Flamarion, Marcelo V. Faculty of Informatics Mathematics and Computer Science HSE University Nizhny Novgorod603155 Russia Il’ichev Pacific Oceanological Institute Far Eastern Branch Russian Academy of Sciences Vladivostok690041 Russia Unidade Acadêmica do Cabo de Santo Agostinho UFRPE Rural Federal University of Pernambuco BR 101 Sul Cabo de Santo Agostinho PE 54503-900 Brazil

Pair soliton interactions play a significant role in the dynamics of soliton turbulence. The interaction of solitons with different polarities is particularly crucial in the context of abnormally large wave formation, often referred to as freak or rogue waves, as these interactions result in an increase in the maximum wave field. In this article, we investigate the features and properties of bipolar soliton interactions within the framework of the non-integrable Schamel equation, contrasting them with the integrable modified Korteweg-de Vries equation. We examine variations in moments and extrema of the wave fields. Additionally, we identify scenarios in which, in the bipolar solitary wave interaction, the smaller solitary wave transfers a portion of its energy to the larger one, causing an increase in the amplitude of the larger solitary wave and a decrease in the amplitude of the smaller one, returning them to their pre-interaction state. Notably, we observe that non-integrability can be considered a factor that triggers the formation of rogue waves. Copyright © 2023, The Authors. All rights reserved.

关键词： Solitons

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