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arXiv 2024年

作者： Khan, Arif Ali Akbar, Muhammad Azeem Lahtinen, Valtteri Paavola, Marko Niazi, Mahmood Alatawi, Mohammed Naif Alotaibi, Shoayee Dlaim M3S Empirical Software Engineering Research Unit University of Oulu Oulu90014 Finland Software Engineering Department Lappeenranta-Lahti University of Technology Lappeenranta53851 Finland Quanscient Oy Tampere Finland VTT Technical Research Ctr of Finland Ltd Oulu Finland Department of Information and Computer Science King Fahd University of Petroleum and Minerals Saudi Arabia Interdisciplinary Research Centre for Intelligent Secure Systems King Fahd University of Petroleum and Minerals Saudi Arabia Information Technology Department Faculty of Computers and Information Technology University of Tabuk Saudi Arabia Department of Artificial Intelligence and Data Science College of Computer Science and Engineering University of Hail Hail Saudi Arabia

Context: Quantum software systems represent a new realm in software engineering, utilizing quantum bits (Qubits) and quantum gates (Qgates) to solve the complex problems more efficiently than classical counterparts. Agile software development approaches are considered to address many inherent challenges in quantum software development, but their effective integration remains unexplored. Objective: This study investigates key causes of challenges that could hinders the adoption of traditional agile approaches in quantum software projects and develop an Agile-Quantum Software Project Success Prediction Model (AQSSPM). Methodology: Firstly, we identified 19 causes of challenging factors discussed in our previous study, which are potentially impacting agile-quantum project success. Secondly, a survey was conducted to collect expert opinions on these causes and applied Genetic Algorithm (GA) with Naive Bayes Classifier (NBC) and Logistic Regression (LR) to develop the AQSSPM. Results: Utilizing GA with NBC, project success probability improved from 53.17% to 99.68%, with cost reductions from 0.463% to 0.403%. Similarly, GA with LR increased success rates from 55.52% to 98.99%, and costs decreased from 0.496% to 0.409% after 100 iterations. Both methods result showed a strong positive correlation (rs=0.955) in causes ranking, with no significant difference between them (t=1.195, p=0.240>0.05). Conclusion: The AQSSPM highlights critical focus areas for efficiently and successfully implementing agile-quantum projects considering the cost factor of a particular project. © 2024, CC BY.

关键词： Genetic algorithms

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Modeling viral evolution:A novel SIRSVIDE framework with application to SARS-CoV-2 dynamics

微生物与宿主健康（英文）

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微生物与宿主健康（英文） 2024年第5期2卷 227-245页

作者： Kaichun Jin Xiaolu Tang Zhaohui Qian Zhiqiang Wu Zifeng Yang Tao Qian Chitin Hon Jian Lu State Key Laboratory of Protein and Plant Gene Research Center for BioinformaticsSchool of Life SciencesPeking UniversityBeijingChina NHC Key Laboratory of Systems Biology of Pathogens Institute of Pathogen BiologyChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijingChina State Key Laboratory of Respiratory Disease National Clinical Research Center for Respiratory DiseaseGuangzhou Institute of Respiratory HealthThe First Affiliated Hospital of Guangzhou Medical UniversityGuangdongChina Respiratory Disease Al Laboratory on Epidemic and Medical Big Data Instrument Applications Department of Engineering ScienceFaculty of Innovation EngineeringMacau University of Science and TechnologyMacauChina Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases KingMed School of Laboratory MedicineGuangzhou Medical UniversityGuangdongChina Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases KingMed School of Laboratory MedicineGuangzhou Medical UniversityGuangdongChina Macau Center for Mathematical Sciences Macau University of Science and TechnologyMacauChina Respiratory Disease Al Laboratory on Epidemic and Medical Big Data Instrument Applications Department of Engineering ScienceFaculty of Innovation EngineeringMacau University of Science and TechnologyMacauChina Guangzhou Key Laboratory for Clinical Rapid Diagnosis and Early Warning of Infectious Diseases KingMed School of Laboratory MedicineGuangzhou Medical UniversityGuangdongChina Department of Engineering Science Faculty of Innovation EngineeringMacau University of Science and TechnologyMacauChina

Understanding evolutionary trends in emerging viruses,such as severe acute respiratory syndrome coronavirus 2(SARS-CoV-2),is crucial for effective public health management and ***,extensive debates have arisen concerning viral evolutionary trends,particularly the interplay between transmissibility,pathogenicity,and im-mune *** this context,we have developed a novel computational model named SIRSVIDE(Susceptible-In-fected-Recovered-Susceptible-Variation-Immune Decay-Immune Escape)to simulate the transmission and evolu-tionary dynamics of viral *** simulation results indicate that under conditions of high mutation rates,elevated transmission rates,and larger susceptible host populations,viral populations exhibit prolonged increases in transmissibility and immune escape,accompanied by reductions in pathogenicity and noticeable short-term ***,when the total susceptible population size and mutation rate decrease,substantial uncertainty in the evolutionary trends of viral populations becomes *** summary,the SIRSVIDE model establishes a comprehen-sive framework for generating both short-and long-term viral epidemiological and evolutionary *** simula-tion outcomes align with existing evidence indicating that SARS-CoV-2 is undergoing selection for heightened trans-missibility,decreased pathogenicity,and enhanced immune ***,the model sheds light on the possible evolutionary dynamics of other viruses.

关键词： viral evolution severe acute respiratory syndrome coronavirus 2(SARS-CoV-2) transmissibility-pathogenicity trade-off immune escape

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Improving the frequency chirp linearity of a frequency-modulated continuous-wave laser 26

Improving the frequency chirp linearity of a frequency-modul...

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26th Optoelectronics and Communications Conference, OECC 2021

作者： Liu, Chuxin Guo, Yuyao Xu, Weihan Lu, Liangjun Chen, Jianping Zhou, Linjie State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China

We propose a novel driving signal pre-distortion method to improve the frequency chirp linearity of an InP/Si3N4 hybrid-integrated external cavity laser. The measured chirp linearity is increased from 87.3% to 99.7%. ... 详细信息

ISBN: (纸本)9781557528209

关键词： Continuous wave lasers

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MU-MIMO Symbol-Level Precoding for QAM Constellations with Maximum Likelihood Receivers

arXiv

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arXiv 2024年

作者： Tong, Xiao Li, Ang Lei, Lei Hu, Xiaoyan Dong, Fuwang Chatzinotas, Symeon Masouros, Christos School of Information and Communications Engineering Faculty of Electronic and Information Engineering Xi’an Jiaotong University Shaanxi Xi’an710049 China National Mobile Communications Research Laboratory Southeast University Nanjing210096 China College of Intelligent Systems Science and Engineering Harbin Engineering University Harbin150001 China University of Luxembourg Esch-sur-Alzette4365 Luxembourg Department of Electronic and Electrical Engineering University College London LondonWC1E 7JE United Kingdom

In this paper, we investigate symbol-level precoding (SLP) and efficient decoding techniques for downlink transmission, where we focus on scenarios where the base station (BS) transmits multiple QAM constellation streams to users equipped with multiple receive antennas. We begin by formulating a joint symbol-level transmit precoding and receive combining optimization problem. This coupled problem is addressed by employing the alternating optimization (AO) method, and closed-form solutions are derived by analyzing the obtained two subproblems. Furthermore, to address the dependence of the receive combining matrix on the transmit signals, we switch to maximum likelihood detection (MLD) method for decoding. Notably, we have demonstrated that the smallest singular value of the precoding matrix significantly impacts the performance of MLD method. Specifically, a lower value of the smallest singular value results in degraded detection performance. Additionally, we show that the traditional SLP matrix is rank-one, making it infeasible to directly apply MLD at the receiver end. To circumvent this limitation, we propose a novel symbol-level smallest singular value maximization problem, termed SSVMP, to enable SLP in systems where users employ the MLD decoding approach. Moreover, to reduce the number of variables to be optimized, we further derive a more generic semidefinite programming (SDP)-based optimization problem. Numerical results validate the effectiveness of our proposed schemes and demonstrate that they significantly outperform the traditional block diagonalization (BD)-based method. Copyright © 2024, The Authors. All rights reserved.

关键词： Quadrature amplitude modulation

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Local policy search with Bayesian optimization 21

Local policy search with Bayesian optimization

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Proceedings of the 35th International Conference on Neural Information Processing systems

作者： Sarah Müller Alexander von Rohr Sebastian Trimpe Max Planck Institute for Intelligent Systems Stuttgart Germany and Institute for Ophthalmic Research University of Tübingen Tübingen Germany Max Planck Institute for Intelligent Systems Stuttgart Germany and Institute for Data Science in Mechanical Engineering RWTH Aachen University Germany and IAV GmbH Gifhorn Germany Max Planck Institute for Intelligent Systems Stuttgart Germany and Institute for Data Science in Mechanical Engineering RWTH Aachen University Germany

ISBN: (纸本)9781713845393

Reinforcement learning (RL) aims to find an optimal policy by interaction with an environment. Consequently, learning complex behavior requires a vast number of samples, which can be prohibitive in practice. Nevertheless, instead of systematically reasoning and actively choosing informative samples, policy gradients for local search are often obtained from random perturbations. These random samples yield high variance estimates and hence are sub-optimal in terms of sample complexity. Actively selecting informative samples is at the core of Bayesian optimization, which constructs a probabilistic surrogate of the objective from past samples to reason about informative subsequent ones. In this paper, we propose to join both worlds. We develop an algorithm utilizing a probabilistic model of the objective function and its gradient. Based on the model, the algorithm decides where to query a noisy zeroth-order oracle to improve the gradient estimates. The resulting algorithm is a novel type of policy search method, which we compare to existing black-box algorithms. The comparison reveals improved sample complexity and reduced variance in extensive empirical evaluations on synthetic objectives. Further, we highlight the benefits of active sampling on popular RL benchmarks.

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8×8 Microring Optical Switch on a Dual-layer Si3N4-on-SOI Platform

8×8 Microring Optical Switch on a Dual-layer Si3N4-on-SOI P...

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2021 Asia Communications and Photonics Conference, ACP 2021

作者： Li, Xin Gao, Wei Lu, Liangjun Chen, Jianping Zhou, Linjie State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China

We demonstrate an 8×8 microring switch based on a dual-layer Si3N4-on-SOI platform. Experimental results show the chip has a fiber-to-fiber insertion loss © Optica Publishing Group 2021

ISBN: (纸本)9781957171005

We demonstrate an 8×8 microring switch based on a dual-layer Si3N4-on-SOI platform. Experimental results show the chip has a fiber-to-fiber insertion loss © Optica Publishing Group 2021

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Silicon integrated low-loss 4-channel 5-bit optical true-time delay lines 26

Silicon integrated low-loss 4-channel 5-bit optical true-tim...

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26th Optoelectronics and Communications Conference, OECC 2021

作者： Liu, Yuanbin Lu, Liangjun Chen, Jianping Zhou, Linjie State Key Laboratory of Advanced Optical Communication Systems and Networks Shanghai Key Lab of Navigation and Location Services Shanghai Institute for Advanced Communication and Data Science Department of Electronic Engineering Shanghai Jiao Tong University Shanghai200240 China SJTU-Pinghu Institute of Intelligent Optoelectronics Pinghu314200 China

ISBN: (纸本)9781557528209

关键词： Timing circuits

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An explainable and trustworthy AI framework for federated learning: a case study in rare autoimmune diseases*

An explainable and trustworthy AI framework for federated le...

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data science and engineering in Healthcare, Medicine and Biology, IEEE EMBS Special Topic Conference on

作者： Vasileios C. Pezoulas A. Goules A. G. Tzioufas D. I. Fotiadis Dept. of Materials Science and Engineering Unit of Medical Technology and Intelligent Information Systems University of Ioannina Ioannina Greece Dept. of Pathophysiology Faculty of Medicine National and Kapodistrian University of Athens GR 15772 Athens Greece Dept. of Biomedical Research Institute FORTH Ioannina Greece

Nowadays, the existence of data silos obscures any advancements in healthcare. On the other hand, conventional centralized data analysis faces numerous obstacles, including legal issues, reduced levels of trustworthiness and lack of data interoperability. Federated artificial intelligence (AI) is an emerging strategy which enables collaborative model training across multiple centers without the need to centralize sensitive patient data. However, the biases which are introduced during the training process combined with the need to install equipment on premises remain underexplored. In this work, we propose a trustworthy, cloud-based AI framework, where federated implementations of high-performance boosting classifiers with hybrid loss functions were developed to solve supervised learning tasks and to provide interpretable risk factors. A case study was conducted to solve an unmet mucosa-associated lymphoid tissue (MALT) lymphoma classification problem by utilizing a PanEuropean data hub with 4805 patients with primary Sjogren’s Syndrome (pSS) (21 European cohorts). Our results highlight the performance of the federated boosting classifiers (0.9 AUC) along with explainable risk *** Relevance: The proposed framework was utilized to develop robust MALT lymphoma classifiers for pSS patients by utilizing a PanEuropean data hub with 21 European cohorts across diverse geographical sites yielding favorable classification accuracy along with explainable risk factors for prevention.

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Nonlinear optical response and spontaneous polarization in layer-stacked gallenene using second harmonic generation

arXiv

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arXiv 2024年

作者： Yunusa, Muhammad Schulz, Andrew K. Parker, Tim Schneider, Felix Elibol, Kenan Predel, Marius Dzíbelová, Jana Rebmann, Michel Gorkan, Taylan van Aken, Peter A. Meixner, Alfred J. Durgun, Engin Kotakoski, Jani Zhang, Dai Sitti, Metin Physical Intelligence Department Max Planck Institute for Intelligent Systems Stuttgart Germany Max Planck Institute for Intelligent Systems Stuttgart Germany Institute for Physical and Theoretical Chemistry University of Tübingen LISA+ Tübingen Germany Max Planck Institute for Solid State Research Stuttgart Germany University of Vienna Faculty of Physics Vienna Austria UNAM-National Nanotechnology Research Center Institute of Materials Science and Nanotechnology Bilkent University Ankara06800 Turkey School of Medicine College of Engineering Koç University Istanbul34450 Turkey

Gallenene is a promising low-dimensional material with a structure down to the thickness of a single atom, similar to graphene. However, van der Waals stacking of two-dimensional (2D) gallenene under confinement remain poorly understood. In this study, we present evidence of the formation of parallel-stacked hexagonal gallenene (a100) structures in liquid gallium. The present study demonstrates the AB stacking of 2D gallenene a100 crystals in liquid gallium sandwiched between two graphene layers, as observed through transmission electron microscopy. A nonlinear optical response of the confined hexagonal gallenene was investigated through second harmonic generation (SHG) microscopy. The SHG signal exhibits periodic peak intensity shifts upon angular rotation up to 90 degrees and intensity dampening at elevated temperatures. These findings offer insights on device applications of 2D gallenene. © 2024, CC BY.

关键词： Van der Waals forces

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An effective method for quantification, visualization, and analysis of 3D cell shape during early embryogenesis

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Quantitative Biology 2025年第1期 134-147页

作者： Zelin Li Zhaoke Huang Jianfeng Cao Guoye Guan Zhongying Zhao Hong Yan Department of Electrical Engineering City University of Hong Kong Centre for Intelligent Multidimensional Data Analysis Limited Center for Quantitative Biology Peking University Department of Systems Biology Harvard Medical School Department of Data Science Dana-Farber Cancer Institute Department of Biology Hong Kong Baptist University State Key Laboratory of Environmental and Biological Analysis Hong Kong Baptist University

Embryogenesis is the most basic process in developmental *** and simply quantifying cell shape is challenging for the complex and dynamic 3D embryonic cells. Traditional descriptors such as volume,surface area, and mean curvature often fall short, providing only a global view and lacking in local detail and reconstruction capability. Addressing this, we introduce an effective integrated method, 3D Cell Shape Quantification(3DCSQ), for transforming digitized 3D cell shapes into analytical feature vectors, named eigengrid(proposed grid descriptor like eigen value), eigenharmonic, and eigenspectrum. We uniquely combine spherical grids, spherical harmonics, and principal component analysis for cell shape quantification. We demonstrate 3DCSQ's effectiveness in recognizing cellular morphological phenotypes and clustering cells. Applied to Caenorhabditis elegans embryos of 29 living embryos from 4-to 350-cell stages,3DCSQ identifies and quantifies biologically reproducible cellular patterns including distinct skin cell deformations. We also provide automatically cell shape lineaging analysis program. This method not only systematizes cell shape description and evaluation but also monitors cell differentiation through shape changes, presenting an advancement in biological imaging and analysis.

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