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A new cognitive clock matching phenotypic and epigenetic ages (vol 12, 364, 2022)

TRANSLATIONAL PSYCHIATRY 2022年第1期12卷 364页

作者： Krivonosov, M. I. Kondakova, E. V. Bulanov, N. A. Polevaya, S. A. Franceschi, C. Ivanchenko, M. V. Vedunova, M. V. Institute of Biology and Biomedicine Department of Neurotechnology N. I. Lobachevsky State University Nizhny Novgorod Russia. krivonosov@itmm.unn.ru. Laboratory of Systems Medicine of Healthy Aging Institute of Biology and Biomedicine 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.

Cognitive abilities decline with age, constituting a major manifestation of aging. The quantitative biomarkers of this process, as well as the correspondence to different biological clocks, remain largely an open problem. In this paper we employ the following cognitive tests: 1. differentiation of shades (campimetry); 2. evaluation of the arithmetic correctness and 3. detection of reversed letters and identify the most significant age-related cognitive indices. Based on their subsets we construct a machine learning-based Cognitive Clock that predicts chronological age with a mean absolute error of 8.62 years. Remarkably, epigenetic and phenotypic ages are predicted by Cognitive Clock with an even better accuracy. We also demonstrate the presence of correlations between cognitive, phenotypic and epigenetic age accelerations that suggests a deep connection between cognitive performance and aging status of an individual.

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Two instances of random access code in the quantum regime

arXiv

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arXiv 2022年

作者： Sakharwade, Nitica Studziński, Michal Eckstein, Michal Horodecki, Pawel International Centre for Theory of Quantum Technologies University of Gdańsk Jana Bażyńskiego 1A Gdańsk80-309 Poland Perimeter Institute for Theoretical Physics Waterloo Canada Department of Physics and Astronomy University of Waterloo Waterloo Canada Institute of Theoretical Physics and Astrophysics National Quantum Information Centre in Gdańsk Faculty of Mathematics Physics and Informatics University of Gdańsk Wita Stwosza 57 Gdańsk80-952 Poland Institute of Theoretical Physics Faculty of Physics Astronomy and Applied Computer Science Jagiellonian University ul. Lojasiewicza 11 Kraków30-348 Poland Faculty of Applied Physics and Mathematics National Quantum Information Centre Gdansk University of Technology Gabriela Narutowicza 11/12 Gdańsk80-233 Poland

We consider two classes of quantum generalisations of Random Access Code (RAC) and study the bounds for probabilities of success for such tasksa. It provides a useful framework for the study of certain information processing tasks with constrained resources. The first class is based on a random access code with quantum inputs and output known as the No-Signalling Quantum RAC (NS-QRAC) box [A. Grudka et al., Phys. Rev. A 92, 052312 (2015)], where unbounded entanglement and constrained classical communication are allowed. We show that it can be seen as quantum teleportation with constrained classical communication and provide a lower quantum bound for the success probability. We consider two modifications to the NS-QRAC scenario: The first, where unbounded entanglement and constrained quantum communication is allowed and the second, where bounded entanglement and unconstrained classical communication is allowed. We find a monogamy relation for the transmission fidelities, which - in contrast to the usual communication schemes - involves multiple senders and a single receiver. We provide an upper bounds for the latter and a lower one for the former. The second class is based on a RAC with a quantum channel and shared entanglement [A. Tavakoli et al., PRX Quantum 2, 040357 (2021)]. We study the set of tasks where two inputs made of two digits of d-base are encoded over a qudit and a maximally entangled state. We show that such tasks can be seen as quantum dense-coding with constrained quantum communication and explicit protocols, which give lower quantum bounds for the tasks' efficiency, in dimensions d = 2, 3, 4. The employed encoding utilises Gray codes. Copyright © 2022, The Authors. All rights reserved.

关键词： Quantum communication

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Achievable Rate Maximization Pattern Design for Reconfigurable MIMO Antenna Array

arXiv

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arXiv 2022年

作者： Wang, Haonan Li, Ang Liu, Ya-Feng Qin, Qibo Song, Lingyang Li, Yonghui The School of Information and Communications Engineering Faculty of Electronic and Information Engineering Xi'an Jiaotong University Shaanxi Xi'An710049 China The State Key Laboratory of Integrated Services Networks Xidian University Shaanxi Xi'An China The State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing100190 China Wireless Network RAN Research Department Shanghai Huawei Technologies Co. Ltd. Shanghai201206 China The School of Electrical Engineering and Computer Science Peking University Beijing100871 China The School of Electrical and Information Engineering The University of Sydney SydneyNSW2006 Australia

Reconfigurable multiple-input multiple-output can provide performance gains over traditional MIMO by reshaping the channels, i.e., introducing more channel realizations. In this paper, we focus on the achievable rate maximization pattern design for reconfigurable MIMO systems. Firstly, we introduce the matrix representation of pattern reconfigurable MIMO (PR-MIMO), based on which a pattern design problem is formulated. To further reveal the effect of the radiation pattern on the wireless channel, we consider pattern design for both the single-pattern case where the optimized radiation pattern is the same for all the antenna elements, and the multi-pattern case where different antenna elements can adopt different radiation patterns. For the single-pattern case, we show that the pattern design is equivalent to a redistribution of gains among all scattering paths, and an eigenvalue optimization based solution is obtained. For the multi-pattern case, we propose a sequential optimization framework with manifold optimization and eigenvalue decomposition to obtain near-optimal solutions. Numerical results validate the superiority of PR-MIMO systems over traditional MIMO in terms of achievable rate, and also show the effectiveness of the proposed solutions. Copyright © 2022, The Authors. All rights reserved.

关键词： MIMO systems

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DGMS: Dataset Generator Based on Malay Stemmer Algorithm 2nd

DGMS: Dataset Generator Based on Malay Stemmer Algorithm

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2nd International Conference on Advanced Data and information Engineering, DaEng 2015

作者： Abdullah, Zailani Mohamad, Siti Zaharah Zulkifli, Norul Syazawini Herawan, Tutut Hamdan, Abdul Razak School of Informatics and Applied Mathematics Universiti Malaysia Terengganu Kuala Terengganu21030 Malaysia Faculty of Computer Science & Information Technology Universiti Malaya Kuala Lumpur50603 Malaysia Faculty of Information Science and Technology Universiti Kebangsaan Malaysia BangiSelangor43600 Malaysia

ISBN: (纸本)9789811317972

Text mining is an interdisciplinary field of information retrieval, data mining, machine learning, statistics and computational linguistics. Text mining analysis is more complicated than data mining because it involves with unstructured and fuzzy data. On top of that, generation of datasets that are based on the text documents is still not available. Therefore in this study, we proposed a model and finally a tool called Dataset Generator Based on Malay Stemmer Algorithm (DGMS) and experimented based on the news articles from National News Agency of Malaysian (Bernama). The result shows that, the DGMS tool can be used to extract the features and finally generated the desired dataset. © Springer Nature Singapore Pte Ltd. 2019.

关键词： Data mining

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Correction to “An Analytical Predictive Models and Secure Web-Based Personalized Diabetes Monitoring System”

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IEEE Access 2022年 10卷 120922-120922页

作者： Radwa Marzouk Ala Saleh Alluhaidan Sahar A. El_Rahman Department of Information Systems College of Computer and Information Science Princess Nourah Bint Abdulrahman University Riyadh Saudi Arabia Electrical Engineering Department Faculty of Engineering-Shoubra Benha University Cairo Egypt

In the above article [1] , the affiliation of the first author is changed to “Department of information systems, College of computer and information science, Princess Nourah Bint Abdulrahman University, Riyadh 11671... 详细信息

关键词： information science Predictive models Diabetes Monitoring information systems

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Multi-aspect attentive text representations for simple question answering over knowledge base

Natural Language Processing Journal

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Natural Language Processing Journal 2023年 5卷

作者： Zhixiang Zeng Yuefeng Li Jianming Yong Xiaohui Tao Vicky Liu School of Computer Science Faculty of Science Queensland University of Technology (QUT) Brisbane QLD Australia Discipline of Information Systems School of Business University of Southern Queensland Springfield QLD Australia School of Mathematics Physics and Computing University of Southern Queensland Toowoomba QLD Australia

With the deepening of knowledge base research and application, question answering over knowledge base, also called KBQA, has recently received more and more attention from researchers. Most previous KBQA models focus on mapping the input query and the fact in KBs into an embedding format. Then the similarity between the query vector and the fact vector is computed eventually. Based on the similarity, each query can obtain an answer representing a tuple (subject, predicate, object) from the KBs. However, the information about each word in the input question will lose inevitably during the process. To retain as much original information as possible, we introduce an attention-based recurrent neural network model with interactive similarity matrixes. It can extract more comprehensive information from the hierarchical structure of words among queries and tuples stored in the knowledge base. This work makes three main contributions: (1) A neural network-based question-answering model for the knowledge base is proposed to handle single relation questions. (2) An attentive module is designed to obtain information from multiple aspects to represent queries and data, which contributes to avoiding losing potentially valuable information. (3) Similarity matrixes are introduced to obtain the interaction information between queries and data from the knowledge base. Experimental results show that our proposed model performs better on simple questions than state-of-the-art in several effectiveness measures.

关键词： Question answering Knowledge base Deep learning

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From thermodynamics to protein design: Diffusion models for biomolecule generation towards autonomous protein engineering

arXiv

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arXiv 2025年

作者： Li, Wenran Cadet, Xavier F. Medina-Ortiz, David Davari, Mehdi D. Sowdhamini, Ramanathan Damour, Cedric Li, Yu Miranville, Alain Cadet, Frederic University of Paris City University of Reunion INSERM BIGR DSIMB ParisF-75015 France Department of Computing Imperial College London United Kingdom Department of Computer Engineering University of Magallanes Punta Arenas Chile Centre for Biotechnology and Bioengineering Universidad de Chile Santiago Chile Department of Bioorganic Chemistry Leibniz Institute of Plant Biochemistry Halle06120 Germany National Centre for Biological Science TIFR Bangalore India Molecular Biophysics Unit Indian Institute of Science Bangalore India Institute of Bioinformatics and Applied Biotechnology Bangalore India EnergyLab EA 4079 Faculty of Sciences and Technology University of Reunion France School of Information Science and Technology Beijing Institute of Artificial Intelligence China Laboratoire de Mathématiques Appliquées University Le Havre Normandie le Havre France PEACCEL Artificial Intelligence Department AI for Bi-ologics Paris75013 France

Protein design with desirable properties has been a significant challenge for many decades. Generative artificial intelligence is a promising approach and has achieved great success in various protein generation tasks. Notably, diffusion models stand out for their robust mathematical foundations and impressive generative capabilities, offering unique advantages in certain applications such as protein design. In this review, we first give the definition and characteristics of diffusion models and then focus on two strategies: Denoising Diffusion Probabilistic Models (DDPM) and Score-based Generative Models (SGM), where DDPM is the discrete form of SGM. Furthermore, we discuss their applications in protein design, peptide generation, drug discovery, and protein-ligand interaction. Finally, we outline the future perspectives of diffusion models to advance autonomous protein design and engineering. The E(3) group consists of all rotations, reflections, and translations in three-dimensions. The equivariance in the E(3) group can maintain the physical stability of the N − Cα − C frame of each amino acid as much as possible, and we reflect on how to keep the diffusion model E(3) equivariant for protein generation. © 2025, CC BY.

关键词： Biomolecules

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Inside the Insider

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IEEE Engineering Management Review 2019年第2期47卷 84-91页

作者： Sanders, George Lawrence Upadhyaya, Shambhu Wang, Xunyi Department of Management Science and Systems University at Buffalo State University of New York BuffaloNY14260 United States Department of Computer Science and Engineering Research and Graduate Education School of Engineering and Applied Sciences Center of Excellence in Information Systems Assurance Research and Education University at Buffalo State University of New York BuffaloNY14260 United States

We present an overview of two major research projects on the role of monetary incentives and psychological traits in attracting individuals to hacking behavior. In the first study, scenarios were developed for five situations to determine if monetary incentives could be used to influence subjects to obtain healthcare information and to release that information. Approximately 35% to 46% of the 523 survey participants indicated that there is a price, ranging from $1,000 to over $10 million, acceptable for violating HIPAA laws. In the second study, 439 subjects completed a survey that identified the psychological traits that contribute to an individual's propensity to participate in White Hat, Grey Hat, or Black Hat hacking. Preliminary results suggest that individuals that are White Hat, Grey Hat and Black Hat hackers score high on the Machiavellian and Psychopathy scales. We also found evidence that Gray Hatters oppose authority, Black Hatters score high on the thrill-seeking dimension, and White Hatters, the good guys, tend to be Narcissists. Our focus on both studies is malicious insider attacks because insiders have the ability to do substantial monetary and reputational damage to the organization. Several suggestions have been made on addressing insider threats. © 1973-2011 IEEE.

关键词： Surveys

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Guest Editors

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Journal of Interdisciplinary Mathematics 2021年第1期24卷 ii页

作者： Poonia, Ramesh C. Dass, Pranav Kumar, Sandeep Singh, Vijander Agarwal, Pankaj Department of ICT and Natural Sciences Postdoctoral Researcher Cyber-Physical Systems Laboratory Faculty of Information Technology and Electrical Engineering NTNU - Norwegian University of Science and Technology Ålesund Norway Department of Computer Science and Engineering Bharati Vidyapeeth’s College of Engineering Paschim Vihar New Delhi India Computer Science and Engineering Department of ICT Natural Sciences Faculty of Information Technology Electrical Engineering School of Engineering Technology Kengeri Campus CHRIST University (Deemed to be University) Bengaluru Karnataka India Department of Computer Science Engineering Manipal University Jaipur Jaipur Rajasthan India Department of Computer Science and Engineering Amity University Rajasthan Jaipur Rajasthan India

"Guest Editors."Journal of Interdisciplinary Mathematics, 24(2), p. ii

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Development of multi-beam optics for time-resolved X-ray tomography: From π-polarization to σ-polarization 14

Development of multi-beam optics for time-resolved X-ray tom...

引用

14th International Conference on Synchrotron Radiation Instrumentation, SRI 2021

作者： Voegeli, Wolfgang Liang, Xiaoyu Shirasawa, Tetsuroh Arakawa, Etsuo Hyodo, Kazuyuki Kudo, Hiroyuki Yashiro, Wataru Department of Physics Tokyo Gakugei University 4-1-1 Nukuikita-Machi Tokyo184-8501 Japan Tohoku University 2-1-1 Katahira Aoba-ku Sendai Miyagi980-8577 Japan National Metrology Institute of Japan National Institute of Advanced Industrial Science and Technology 5-2-2107 1-1-1 Higashi Tsukuba Ibaraki305-8565 Japan Photon Factory Institute of Materials Structure Science KEK 1-1 Oho Tsukuba Ibaraki305-0801 Japan Faculty of Engineering Information and Systems University of Tsukuba Tsukuba305-8573 Japan Tohoku University 2-1-1 Katahira Aoba-ku Sendai Miyagi980-8577 Japan Department of Applied Physics School of Engineering The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo113-8656 Japan

A multi-beam X-ray optics that can image a sample from different directions in a large angular range simultaneously without sample rotation is reported. It consists of 28 thin silicon crystals that are arranged in a σ-polarization diffraction geometry so that the diffracted X-rays from an incident white synchrotron radiation beam pass through the sample. A tomogram of a simple test sample was calculated from projection images recorded with the optics, showing that an alignment accuracy sufficient for X-ray tomography can be achieved. © Published under licence by IOP Publishing Ltd.

关键词： Polarization

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