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73rd International Astronautical Congress, IAC 2022

作者： Sip, Yuen Yee Li Jacobs, Annabel Morales, Alejandra Sun, Mengdi Roberson, Luke B. Hummerick, Mary E. Roy, Herve Kik, Pieter Zhai, Lei Department of Materials Science & Engineering University of Central Florida FL United States Herbert Wertheim College of Engineering University of Florida FL United States Engineering Computer Programming and Technology Division Valencia College FL United States College of Optics and Photonics University of Central Florida FL United States Kennedy Space Center National Aeronautics and Space Administration FL United States Kennedy Space Center Amentum Services FL United States Burnett School of Biomedical Sciences University of Central Florida FL United States Department of Chemistry University of Central Florida FL United States

Microbial biofilm build-up in water distribution systems can pose a risk to human health and pipe material integrity. The impact is more devastating in space stations and to astronauts due to the isolation from necessary replacement parts and medical resources. As a result, there is a need for coatings to be implemented onto the inner region of the pipe to minimize the adherence and growth of biofilms. Lubricant-infused surfaces has been one such interesting material for anti-biofouling applications in which their slippery property promotes repellence to many liquids and thus prevents bacterial adherence. Textured and porous films are suitable substrate candidates to infuse and contain the lubricant. However, there is little investigation in utilizing a nanoporous thin film as the substrate material for lubricant infusion. A nanoporous film has high porosity within the structure which can promote greater lubricant infusion and retention. The implementation as a thin film structure aids to reduce material consumption and cost. In our study, we utilized a well-studied nanoporous thin film fabricated via layer-by-layer assembly of polycations and colloid silica and calcination for greater stability. The film was further functionalized to promote fluorinated groups upon the surface and pores of the film, which then could interact with a fluorinated lubricant. The pristine nanoporous film was characterized to determine its morphology, thickness, wettability, and porosity. The lubricant-infused film was then tested for its lubricant layer stability upon various washing conditions and its performance against bacterial biofilm adherence as a result of its slippery and thus anti-biofouling property. Copyright © 2022 by the International Astronautical Federation (IAF). All rights reserved.

关键词： Silica

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Determining the rank of a number in the residue number system 3

Determining the rank of a number in the residue number syste...

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3rd International Workshop on Information, Computation, and Control Systems for Distributed Environments, ICCS-DE 2021

作者： Babenko, Mikhail Kucherov, Nikolay Tchernykh, Andrei Kuchukov, Viktor Golimblevskaia, Elena Kuchukova, Ekaterina Vashchenko, Irina North-Caucasus Center for Mathematical Research North-Caucasus Federal University 1 Pushkin Street Stavropol355017 Russia Sirius University of Science and Technology 1 Olympic Ave Sochi354340 Russia Institute for System Programming of the Russian Academy of Sciences Moscow109004 Russia CICESE Research Center carr. Tijuana-Ensenada 3918 Ensenada22860 Mexico South Ural State University Prospekt Lenina 76 Chelyabinsk454080 Russia

In this article, the formulation and proof of the theorem on the difference in the ranks of the numbers represented in the Residue Number System is carried out. A method is proposed that allows to reduce the amount of necessary calculations and increases the speed of calculating the rank of a number relative to the method for calculating the rank of a number based on the approximate method. To find the rank of a number in the method for calculating the rank of a number based on the approximate method, it is necessary to calculate n operations with numbers exceeding the modulus value;in the proposed method, it is necessary to calculate n ·(n-1)/ 2 operations not exceeding the value of the module. Copyright © 2021 for this paper by its authors.

关键词： Approximation theory

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High performance Boson Sampling simulation via data-flow engines

arXiv

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arXiv 2023年

作者： Morse, Gregory Rybotycki, Tomasz Kaposi, Ágoston Kolarovszki, Zoltán Stojčić, Uroš Kozsik, Tamás Mencer, Oskar Oszmaniec, Michal Zimborás, Zoltán Rakyta, Péter Department of Programming Languages and Compilers Eötvös Loránd University Budapest Hungary AstroCeNT – Particle Astrophysics Science and Technology Centre – International Research Agenda Nicolaus Copernicus Astronomical Center Polish Academy of Sciences Warsaw Poland ACC Cyfronet University of Science and Technology Cracow Poland Systems Research Institute Polish Academy of Sciences Warsaw Poland Wigner Research Centre for Physics The Hungarian Academy of Sciences Budapest Hungary A Groq company 16192 Coastal Hwy Lewes United States Center for Theoretical Physics Polish Academy of Sciences Poland NASK National Research Institute ul. Kolska 12 Warszawa01-045 Poland Algorithmiq Ltd Kanavakatu Helsinki3C 00160 Finland Department of Physics of Complex Systems Eötvös Loránd University Budapest Hungary

In this work, we generalize the Balasubramanian-Bax-Franklin-Glynn (BB/FG) permanent formula to account for row multiplicities during the permanent evaluation and reduce the complexity of permanent evaluation in scenarios where such multiplicities occur. This is achieved by incorporating n-ary Gray code ordering of the addends during the evaluation. We implemented the designed algorithm on FPGA-based data-flow engines and utilized the developed accessory to speed up boson sampling simulations up to 40 photons, by drawing samples from a 60 mode interferometer at an averaged rate of ∼ 80 seconds per sample utilizing 4 FPGA chips. We also show that the performance of our BS simulator is in line with the theoretical estimation of Clifford & Clifford [1] providing a way to define a single parameter to characterize the performance of the BS simulator in a portable way. The developed design can be used to simulate both ideal and lossy boson sampling experiments. © 2023, CC BY.

关键词： Bosons

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Hybrid multi-criteria decision-making method with a bipolar fuzzy approach and its applications to economic condition analysis

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Engineering Applications of Artificial Intelligence 2024年 132卷

作者： Jana, Chiranjibe Simic, Vladimir Pal, Madhumangal Sarkar, Biswajit Pamucar, Dragan Tamil Nadu Chennai602105 India Faculty of Transport and Traffic Engineering University of Belgrade VojvodeStepe 305 Belgrade11010 Serbia Yuan Ze University College of Engineering Department of Industrial Engineering and Management Taoyuan City320315 Taiwan Department of Applied Mathematics with Oceanology and Computer Programming Vidyasagar University Midnapore721102 India Department of Industrial Engineering Yonsei University 50 Yonsei-ro Sinchon-dong Seodaemun-gu Seoul03722 Korea Republic of Center for Global Health Research Saveetha Medical College Saveetha Institute of Medical and Technical Sciences Saveetha University Chennai Tamil Nadu 600077 India Department of Industrial Engineering and Management National Taipei University of Technology Taipei City 106344 Taiwan Department of Operations Research and Statistics Faculty of Organizational Sciences University of Belgrade Belgrade Serbia Department of Computer Science and Mathematics Lebanese American University Byblos 1102 2801 Lebanon

The bipolar fuzzy set and interval-valued bipolar fuzzy set efficiently analyse real-world problems where for each input of an object, there has counter information. This study's main objective is to lay a foundation for considering a new approach to the bipolar fuzzy hybrid operators tool applied in a realistic frame that contains uncertainties. In this view, some mixed aggregation operators, namely, the hybrid bipolar fuzzy weighted averaging geometric (H-BFWAG), hybrid bipolar fuzzy order weighted averaging geometric (H-BFOWAG), hybrid interval-valued bipolar fuzzy weighted averaging geometric (H-IVBFWAG), and hybrid interval-valued bipolar fuzzy order weighted averaging geometric (H-IVBFOWAG) operators are generated in bipolar fuzzy environment. A decision making approach is developed to build the multi-criteria decision making model. A numerical example is considered to study the different effects on various Indian economic sectors in the COVID-19 environment. Managerial implications are highlighted in between many industrial sectors on which the Indian economy depends and the country's gross domestic product depends on their inter-relationship. This study investigates COVID-19's impact on society and the economy in the Indian context. A comparative investigation is introduced with some pre-existing operators and the TOPSIS (technique for order of preference by similarity to ideal solution) approach to justify the proposed method. © 2024 Elsevier Ltd

关键词： COVID-19

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Enhancing sleep disorder classification using machine learning and metaheuristic optimization techniques

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Biomedical Signal Processing and Control 2025年 110卷

作者： Amel Ali Alhussan El-Sayed M. El-Kenawy Doaa Sami Khafaga Marwa M. Eid Department of Computer Sciences College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia Department of Programming School of Information and Communications Technology (ICT) Bahrain Polytechnic PO Box 33349 Isa Town Bahrain Applied Science Research Center. Applied Science Private University Amman Jordan Faculty of Artificial Intelligence Delta University for Science and Technology Mansoura 11152 Egypt Jadara Research Center Jadara University Irbid 21110 Jordan

Sleep disorders have a significant impact on physical health, cognitive ability, as well as quality of life. However, they are still underdiagnosed due to the practical limitations of traditional diagnostic methods, such as polysomnography. Polysomnography has been accepted as the gold standard with a good accurate diagnostic value. However, it is laborious, time-consuming and frequently unavailable, particularly in the setting with limited resources. To address these challenges, this study aims to improve sleep disorder classification using machine learning (ML) techniques with metaheuristic optimization strategies. The study utilizes the Sleep Health and Lifestyle Dataset, which includes demographic data, sleep parameters, lifestyle factors, and cardiovascular indicators. To improve model efficiency and predictive accuracy, the binary Al-Biruni Earth Radius (bBER) optimizer is applied for feature selection, effectively reducing data dimensionality by eliminating irrelevant and redundant features. Among the evaluated models, the multilayer perceptron (MLP) achieved the strongest baseline performance, reaching an accuracy of 89.92 % and a sensitivity of 91 % after feature selection. Further optimization through the BER algorithm led to the development of the BER-MLP model, which delivered superior classification results, achieving an accuracy of 95.41 % and a sensitivity of 92.45 %. These findings reinforce the effectiveness of integrating metaheuristic optimization with machine learning approaches to enhance diagnostic accuracy and reliability in sleep disorder detection.

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Robustness questions the interpretability of graph neural networks: what to do?

arXiv

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arXiv 2025年

作者： Lukyanov, Kirill Sazonov, Georgii Boyarsky, Serafim Makarov, Ilya ISP RAS Research Center for Trusted Artificial Intelligence Moscow109004 Russia Ivannikov Institute for System Programming the Russian Academy of Sciences Moscow109004 Russia Moscow Institute of Physics and Technology National Research University Moscow141700 Russia Lomonosov Moscow State University Leninskie Gory 1 Moscow119991 Russia Yandex School of Data Analysis bld. 2 11 Timur Frunze st. Moscow119021 Russia AIRI Moscow121170 Russia

Graph Neural Networks (GNNs) have become a cornerstone in graph-based data analysis, with applications in diverse domains such as bioinformatics, social networks, and recommendation systems. However, the interplay between model interpretability and robustness remains poorly understood, especially under adversarial scenarios like poisoning and evasion attacks. This paper presents a comprehensive benchmark to systematically analyze the impact of various factors on the interpretability of GNNs, including the influence of robustness-enhancing defense mechanisms. We evaluate six GNN architectures based on GCN, SAGE, GIN, and GAT across five datasets from two distinct domains, employing four interpretability metrics: Fidelity, Stability, Consistency, and Sparsity. Our study examines how defenses against poisoning and evasion attacks, applied before and during model training, affect interpretability and highlights critical trade-offs between robustness and interpretability. The framework will be published as open source. The results reveal significant variations in interpretability depending on the chosen defense methods and model architecture characteristics. By establishing a standardized benchmark, this work provides a foundation for developing GNNs that are both robust to adversarial threats and interpretable, facilitating trust in their deployment in sensitive applications. © 2025, CC BY-NC-SA.

关键词： Graph neural networks

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Cyber-Typhon: An Online Multi-task Anomaly Detection Framework 1

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15th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2019

作者： Demertzis, Konstantinos Iliadis, Lazaros Kikiras, Panayiotis Tziritas, Nikos School of Engineering Department of Civil Engineering Faculty of Mathematics Programming and General Courses Democritus University of Thrace Kimmeria Xanthi Greece School of Science Department of Computer Science University of Thessaly Lamia Greece Research Center for Cloud Computing Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen China

ISBN: (数字)9783030198237

ISBN: (纸本)9783030198220

According to the Greek mythology, Typhon was a gigantic monster with one hundred dragon heads, bigger than all mountains. His open hands were extending from East to West, his head could reach the sky and flames were coming out of his mouth. His body below the waste consisted of curled snakes. This research effort introduces the "Cyber-Typhon" (CYTY) an Online Multi-Task Anomaly Detection Framework. It aims to fully upgrade old passive infrastructure through an intelligent mechanism, using advanced Computational Intelligence (COIN) algorithms. More specifically, it proposes an intelligent Multi-Task Learning framework, which combines On-Line Sequential Extreme Learning Machines (OS-ELM) and Restricted Boltzmann Machines (RBMs) in order to control data flows. The final target of this model is the intelligent classification of Critical Infrastructures’ network flow, resulting in Anomaly Detection due to Advanced Persistent Threat (APT) attacks. © 2019, IFIP International Federation for Information Processing.

关键词： Anomaly detection

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The role of 7-dehydrocholesterol in inducing ER stress and apoptosis of head and neck squamous cell carcinoma

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Cancer letters 2025年 628卷 217842页

作者： Bok-Soon Lee Yea-In Park Hengtian Liu Sang Gyu Kim Hyo Jeong Kim Ji-Hye Choi Si Hyun Rho Joselyn Padilla Jin Roh Hyun Goo Woo Hae Jin Seo Man Ho Choi Yu-Jin Jeong Evan C Lien Syed Hassan Mehdi Dongjoon Lee Donghoon Yoon Chul-Ho Kim Jiyoung Lee Department of Biochemistry and Molecular Medicine School of Medicine and Health Sciences The George Washington University Washington DC USA Department of Otolaryngology Ajou University School of Medicine Suwon Korea. Department of Biochemistry and Molecular Medicine School of Medicine and Health Sciences The George Washington University Washington DC USA. Department of Otolaryngology Ajou University School of Medicine Suwon Korea Department of Molecular Science and Technology Ajou University School of Medicine Suwon Korea. Department of Physiology Ajou University School of Medicine Suwon Korea. Department of Pathology Ajou University School of Medicine Suwon Korea. Center for Advanced Biomolecular Recognition Korea Institute of Science and Technology Seoul Korea. Department of Metabolism and Nutritional Programming Van Andel Institute Grand Rapids MI USA. Hematology Oncology Division Department of Internal Medicine The University of Arkansas for Medical Sciences Little Rock AR USA. Department of Molecular Science and Technology Ajou University School of Medicine Suwon Korea. Electronic address: ostium@ajou.ac.kr. GW Cancer Center School of Medicine and Health Sciences The George Washington University Washington DC USA. Electronic address: jiyounglee@gwu.edu.

Alterations of metabolic pathways that sustain cancer cell survival often offer promising therapeutic avenues. Here, we show that enhanced de novo cholesterol biosynthesis is crucial for the survival of head and neck squamous cell carcinoma (HNSCC). Transcriptomic analysis of HNSCC tissues identified profound dysregulation in steroid and cholesterol metabolism compared to normal tissues. Inhibition of two key enzymes, DHCR7 and DHCR24, which mediate cholesterol biosynthesis, induced apoptosis in HNSCC cells, even when cholesterol levels were restored. Metabolomic profiling revealed the accumulation of 7-dehydrocholesterol (7-DHC) upon DHCR7 or DHCR24 inhibition, triggering endoplasmic reticulum (ER) stress and promoting further cell death. These findings suggest that HNSCC cells adapt to ER stress by modulating 7-DHC levels through enhancing DHCR7 and DHCR24 levels, highlighting a metabolic vulnerability in HNSCC and demonstrating a direct link between cholesterol metabolism and ER stress in cancer cell viability.

关键词： 7-dehydrocholesterol Cholesterol metabolism DHCR24 DHCR7 ER stress head and neck cancer

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The EORTC QLQ-F17 as a shortened version of the EORTC QLQ-C30 to assess self-reported functioning in cancer patients: investigating equivalence and psychometric properties in a randomized cross-over trial

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eClinicalMedicine 2025年 84卷 103262页

作者： Zeman, Florian Giesinger, Johannes M. Pukrop, Tobias Petersen, Morten Aa Groenvold, Mogens Nolte, Sandra Kuliś, Dagmara Shrestha, Sunil Leysen, Laurence Cocks, Kim Coens, Corneel Ioannidis, Georgios Pompili, Cecilia Koller, Michael Center for Clinical Studies University Hospital Regensburg Regensburg Germany Bavarian Cancer Research Center (BZKF) Regensburg Germany Department of Psychiatry Psychotherapy Psychosomatics and Medical Psychology Innsbruck Medical University Innsbruck Austria Department of Internal Medicine III Hematology and Oncology University Hospital Regensburg Regensburg Germany Palliative Care Research Unit Department of Geriatrics and Palliative Medicine GP Bispebjerg and Frederiksberg Hospital University of Copenhagen Copenhagen Denmark Department of Public Health University of Copenhagen Copenhagen Denmark Person-Centred Research Eastern Health Clinical School Monash University Melbourne VIC Australia School of Health Sciences Swinburne University of Technology Melbourne VIC Australia European Organisation for Research and Treatment of Cancer (EORTC) Quality of Life Department Brussels Belgium Department of Research and Academics Kathmandu Cancer Center Tathali Bhaktapur Nepal Statistics and Programming Adelphi Values Bollington England Cheshire United Kingdom Oncology Department Nicosia General Hospital State of Health Services Organisation Nicosia Cyprus University of Hull Hull and York Medical School Hull United Kingdom

Background: The EORTC QLQ-F17, a shortened version of the EORTC QLQ-C30, solely contains the items related to functioning and omits symptom scales. The QLQ-F17 is conceived an equivalent to the functional part of the QLQ-C30, but to date there is no empirical evidence to support this rationale. Methods: This randomized, cross-over, multi-national, questionnaire-based study investigates the equivalence and psychometric properties of the QLQ-F17 compared to the functional scales of the QLQ-C30. Respondents had to fill in both questionnaires, the order of which was presented in a randomized and balanced manner (QLQ-C30—QLQ-F17 vs. QLQ-F17—QLQ-C30). Equivalence testing used Differential Item Functioning (DIF) and linear models. The margin of equivalence was set at ]–5, 5[ points. The study is registered with *** (NCT05479682). Patients were enrolled between February 17 and March 28, 2023. Findings: A total of 2672 cancer patients of all major cancer types, aged between 18 and 92 years with an equal gender distribution (50/50) from 11 countries, were recruited between 17 February and 28 March 2023. Adjusted mean differences between QLQ-C30 and QLQ-F17 ranged between −1·55 and 3·25 for all scales, and the limits of the 95%-CIs, ranging from −3·11 to 4·87, were all within the equivalence margin. All effect sizes of the DIF analyses were <0·01. For the scales of the QLQ-F17, Cronbach's Alpha ranged from 0·73 to 0·89, item–own scale correlations from 0·47 to 0·78 and item–other scale correlations from 0·19 to 0·70. Interpretation: The QLQ-F17 yielded score values that are equivalent to the functional part of the QLQ-C30. Consequently, future clinical studies can employ the QLQ-F17 as a generic tool without losing comparability to studies using the QLQ-C30. Supplementing the QLQ-F17 with relevant symptom items from the EORTC Item Library allows for a time-efficient and flexible measurement strategy. Funding: This research was funded by the European Organisation

关键词： EORTC QLQ-C30 EORTC QLQ-F17 Equivalence Patient-reported outcomes Psychometric properties Quality of life

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Correction to: A new cognitive clock matching phenotypic and epigenetic ages

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Translational psychiatry 2022年第1期12卷 452页

作者： M I Krivonosov E V Kondakova N A Bulanov S A Polevaya C Franceschi M V Ivanchenko M V Vedunova Institute of Biology and Biomedicine Department of Neurotechnology N. I. Lobachevsky State University Nizhny Novgorod Russia. krivonosov@itmm.unn.ru. Institute of Information Technology Mathematics and Mechanics Department of Applied Mathematics N. I. Lobachevsky State University Nizhny Novgorod Russia. krivonosov@itmm.unn.ru. Research Center for Trusted Artificial Intelligence The Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow 109004 Russia. krivonosov@itmm.unn.ru. Research Center for Trusted Artificial Intelligence The Ivannikov Institute for System Programming of the Russian Academy of Sciences Moscow 109004 Russia. Institute of Biology and Biomedicine Department of Basic and Medical Genetics N. I. Lobachevsky State University Nizhny Novgorod Russia. Faculty of Computer Science School of Data Analysis and Artificial Intelligence HSE University Moscow Russia. Faculty of Social Sciences Department of Psychophysiology N. I. Lobachevsky State University Nizhny Novgorod Russia. Institute of Information Technology Mathematics and Mechanics Department of Applied Mathematics N. I. Lobachevsky State University Nizhny Novgorod Russia. Department of Experimental Diagnostic and Specialty Medicine (DIMES) University of Bologna Bologna Italy.

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