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arXiv 2025年

作者： He, Pan Zhang, Min Cao, Jin Li, Jingru Liu, Hao Zhai, Jinfeng Wang, Ruibo Xiao, Cong Yang, Shengyuan A. Shen, Jian State Key Laboratory of Surface Physics Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China Hefei National Laboratory Hefei230088 China Institute of Applied Physics and Materials Engineering Faculty of Science and Technology University of Macau China Fudan University Shanghai200433 China Department of Physics Fudan University Shanghai China Shanghai Research Center for Quantum Sciences Shanghai China Zhangjiang Fudan International Innovation Center Fudan University Shanghai201210 China Collaborative Innovation Center of Advanced Microstructures Nanjing210093 China

The valley Hall effect (VHE) holds great promise for valleytronic applications by leveraging the valley degree of freedom. To date, research on VHE has focused on its linear response to an applied current, leaving nonlinear valley responses undetected and nonlinear valleytronic devices undeveloped. Here, we report the experimental observation of a nonlinear VHE in a graphene-hBN moiré superlattice, evidenced by the generation of second-harmonic nonlocal voltages under AC currents. Remarkably, the nonlinear VHE has magnitude surpassing the linear VHE and is highly tunable via a gate voltage, which exhibits a pair of opposite peaks on the two sides of a Dirac gap. The nonlinear signal shows quadratic scaling with driving current and quartic scaling with local resistance, setting it apart from the linear counterpart. These experimental features are consistent with the theoretical picture of nonlocal transport mediated by nonlinear VHE and linear inverse VHE. We further reveal a nonlinear inverse VHE by observing the third- and fourth-harmonic nonlocal voltages. The nonlinear VHE provides a novel mechanism for valley manipulation and enables a novel valleytronic device—the valley rectifier—that converts AC charge current into DC valley current. Copyright © 2025, The Authors. All rights reserved.

关键词： Degrees of freedom (mechanics)

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Measuring the performances of covariates using exponential survival analysis with partly-interval censored simulation data

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AIP Conference Proceedings 2024年第1期2895卷

作者： Siti Afiqah Muhamad Jamil Jessintha Lai Mohd Asrul Affendi Abdullah School of Mathematical Sciences College of Computing Informatics and Media Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia Faculty of Applied Sciences and Technology Universiti Tun Hussein Onn Malaysia 84600 Pagoh Johor Malaysia

In many fields of science, modelling and analyzing survival rates has shown to be a valuable element of statistical study. This paper aims at proposing the partly-interval censored data into the fixed and time-varying covariates and measure the performances of Exponential survival distribution using mean square error (MSE), mean bias error (MBE), mean absolute error (MAE), root mean square error (RMSE), mean absolute percentage error (MAPE) and standard error. As a result, when dealing the data without censored observations, the exponential distribution significantly fit the simulation data since low values of error measurements appeared when the data included the exact and complete types of simulation. Thus, this study proposed that the uncensored data could be applicable towards the Exponential survival distribution compared to other distributions of survival analysis.

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Survival analysis using censored lung cancer data: A preliminary study

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AIP Conference Proceedings 2024年第1期3123卷

作者： Siti Afiqah Muhamad Jamil Nurul Izzah Ali Mahayaudin M. Mansor Ahmad Zia Ul-Saufi Muhammad Ammar Shafi School of Mathematical Sciences College of Computing Informatics and Mathematics Universiti Teknologi MARA 40450 Shah Alam Selangor Malaysia Faculty of Applied Sciences and Technology Universiti Tun Hussein Onn Malaysia 84600 Pagoh Johor Malaysia

The primary goal of Exploratory Data Analysis (EDA) is exploring and understanding data in order to gain insights and guide for further analysis. It allows for data cleaning which involves removing redundancies, handling missing values, correcting errors and transforming data if necessary as it is an important part of overall data preparation process. The aim of this study is to conduct a preliminary study before applying the survival method of analysis to censored lung cancer observations. The Kaplan-Meier survival curve, proportional hazard assumption, time varying covariate assumption via Scaled Schoenfeld residuals, Cox-Snell residuals for overall goodness of fit of the model assumption, and normality assumption via quantile-quantile (Q-Q) plot were all used in this study. The study discovered that the lung cancer censored observations were not violated with the parametric assumption among semi-parametric, and non-parametric assumptions. Thus, future work is recommended to include a comparison of the parametric method of survivals using the lung cancer data. The application of survival analysis would be ambiguous and mislead the researcher if the fundamental part of survival being left out. As a result, this study may aid in identifying appropriate assumptions for prior application on the survival analysis of censored observations.

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A new concept of bio-based prestress technology with experimental Proof-of-Concept on Bamboo-Timber composite beams

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Construction and Building Materials 2023年第1期402卷

作者： Zhang, Hexin Shen, Minhe Deng, Yu Andras, Peter Sukontasukkul, Piti Yuen, Terry Y.P. Tang, Yunchao Wong, Simon H.F. Limkatanyu, Suchart Singleton, Ian Hansapinyo, Chayanon School of Computing Engineering and the Built Environment and School of Applied Sciences Edinburgh Napier University 10 Colinton Road EdinburghEH10 5DT United Kingdom School of Civil Engineering and Architecture Guangxi University of Science and Technology Liuzhou545006 China Construction and Building Materials Research Center Department of Civil Engineering King Mongkut's University of Technology North Bangkok Thailand Department of Civil Engineering National Yang Ming Chiao Tung University Hsinchu30010 Taiwan College of Urban Construction Zhongkai University of Agriculture and Engineering Guangzhou510225 China Faculty of Science and Technology Technological Higher Education Institute of Hong Kong 20A Tsing Yi Road Tsing Yi Island New Territories Hong Kong Department of Civil and Environmental Engineering Faculty of Engineering Prince of Songkla University Songkhla90112 Thailand Center of Excellence for Natural Disaster Management Department of Civil Engineering Faculty of Engineering Chiang Mai University Thailand

This paper presents a pioneering experimental proof-of-concept study to validate a novel concept of prestress technology that used only pure bio-based composite materials while achieved consistent prestressed stress distribution within the structure member, and provided in-situ flexibility, improved structural performance, and maximised the rate of utilisation of each material. Industrial level of facilities were used during this development. The prestress is achieved by pressurised/forced lamination of multiple components with different materials and geometrical properties. The prestressing process is activated during the pressure release stage during which the components are interacting with each other, creating different stress statuses that would favour the weaker and adverse the stronger components to maximise the strength exploitation of different materials. Using laminated bamboo and timber as an example pair, twenty-two glulam, non-prestressed and prestressed laminated bamboo-timber composite beams were manufactured, tested, and analysed to provide an in-depth understanding of the structural behaviours of these novel structural members. Failure modes, yielding, ultimate and serviceability limit loads, and corresponding deflections, as well as the histories of strain development at key positions of the specimens were examined. The experimental study confirmed the feasibility, effectiveness and industrial scalability of the proposed technology. The novel concept provides a new approach for developing the prestress technology for bio-based materials, and this experimental study laid the foundation for its future analytical development and numerical studies. © 2023 Elsevier Ltd

关键词： Timber

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AI-enhanced intrusion detection in smart renewable energy grids: A novel industry 4.0 cyber threat management approach

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International Journal of Critical Infrastructure Protection 2025年 50卷

作者： Umar Islam Hanif Ullah Naveed Khan Kashif Saleem Iftikhar Ahmad Department of Computer Science IQRA National University Swat Campus KPK Pakistan School of Computing Ulster University Belfast UK Department of Computer Science & Engineering College of Applied Studies & Community Service King Saud University Riyadh 11362 Saudi Arabia Department of Information Technology Faculty of Computing and Information Technology King Abdulaziz University Jeddah 21589 Saudi Arabia

The rapid adoption of Industry 4.0 technologies in renewable energy grids has significantly improved efficiency and scalability. However, this integration has also amplified cybersecurity risks, making conventional Intrusion Detection Systems (IDS) insufficient against evolving cyber threats. This study proposes a novel AI-enhanced Intrusion Detection System (IDS) tailored for smart renewable energy grids, leveraging a multi-stage detection framework that integrates both supervised and unsupervised learning techniques. The proposed IDS combines Random Forest for signature-based detection and Autoencoders for anomaly-based threat identification, enabling real-time detection of both known and zero-day cyber threats. A comprehensive evaluation using real-world cyberattack datasets demonstrates that the system achieves a detection accuracy of 97.8 %, significantly reducing false positives compared to traditional IDS solutions. This work not only enhances the security and resilience of smart grids but also offers a scalable and adaptable cybersecurity framework for Industry 4.0 applications. The findings contribute to the advancement of AI-driven security mechanisms, ensuring the reliability of critical energy infrastructure in the face of sophisticated cyber threats.

关键词： AI-enhanced intrusion detection Smart grids Renewable energy Industry 4.0 Cybersecurity Machine learning Anomaly detection

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Effect of copper nanoparticle volume fraction on flow in a 3D lid-driven cavity with phase change materials using molecular dynamics simulation

Case Studies in Chemical and Environmental Engineering

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Case Studies in Chemical and Environmental Engineering 2025年 11卷

作者： Sawaran Singh, Narinderjit Singh Hassan, Waqed H. Thiab, Rifqa F. Al-zahy, Younis Mohamed Atiah Salahshour, Soheil Hekmatifar, M. Faculty of Data Science and Information Technology INTI International University Persiaran Perdana BBN Putra Nilai Nilai 71800 Malaysia University of Warith Al-Anbiyaa Kerbala 56001 Iraq Department of Civil Engineering College of Engineering University of Kerbala Kerbala 56001 Iraq College of Health and Medical Techniques Al-Zahraa University for Women Karbala 56100 Iraq Department of Physics College of Education Misan University Maysan Iraq Faculty of Engineering and Natural Sciences Istanbul Okan University Istanbul Turkey Faculty of Engineering and Natural Sciences Bahcesehir University Istanbul Turkey Research Center of Applied Mathematics Khazar University Baku Azerbaijan Fast Computing Center Shabihsazan Ati Pars Tehran Iran

Background: Phase Change Materials are substances characterized by specific properties, including defined melting points and substantial latent heat of fusion. Effective heat transfer management is vital in modern industries, as it supports essential processes across various sectors. Methods: This study investigates the effect of copper nanoparticle volume fraction on flow behavior and thermal dynamics in a 3D lid-driven cavity. This enclosure was a controlled environment filled with phase change materials, designed to optimize thermal energy management. The system configuration comprised a wavy bottom wall and an adaptable upper wall, allowing for dynamic adjustments during the simulation. The results show that as the volume ratio of copper nanoparticles increased from 1 % to 3 %, the steady heat transfer process in the simulated nanoparticles also increased. Increasing the volume ratio from 1 % to 3 % resulted in a decrease in the maximum density of nanoparticles, which decreased from 0.0152 to 0.0146 atom/Å³. Additionally, this increase led to a rise in thermal conductivity from 1.26 to 1.45 W/m·K and in heat flux from 8.26 to 9.95 W/m². Significant Findings: The study demonstrates that optimizing the volume fraction of Cu-NPs in PCMs can significantly enhance thermal conductivity and heat flux, offering potential improvements in thermal energy storage systems. © 2025 The Authors

关键词： Density Heat flux Molecular dynamics simulation Phase change material Thermal conductivity

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Correction to: Exploring a Q-learning-based chaotic naked mole rat algorithm for S-box construction and optimization

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Neural computing and Applications 2023年第19期35卷 14465-14465页

作者： Zamli, Kamal Z. Din, Fakhrud Alhadawi, Hussam S. Faculty of Computing College of Computing and Applied Sciences Universiti Malaysia Pahang Pekan Malaysia Faculty of Science and Technology Universitas Airlangga Mulyorejo Surabaya Indonesia Department of Computer Science and IT Faculty of Information Technology University of Malakand Chakdara Dir Lower Pakistan Department of Computer Techniques Engineering Dijlah University College Baghdad Iraq College of Engineering University of Warith Al-Anbiyaa Karbala Iraq

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Retraction Note: An agent architecture for autonomous UAV flight control in object classification and recognition missions

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Soft computing 2024年第2期28卷 959-959页

作者： Mostafa, Salama A. Mustapha, Aida Gunasekaran, Saraswathy Shamini Ahmad, Mohd Sharifuddin Mohammed, Mazin Abed Parwekar, Pritee Kadry, Seifedine Faculty of Computer Science and Information Technology Universiti Tun Hussein Onn Malaysia Batu Pahat Malaysia College of Computer Science and Informatics Universiti Tenaga Nasional Kajang Malaysia College of Computer Science and Information Technology University of Anbar Anbar Iraq Delhi-NCR Campus SRM Institute of Science and Technology Ghaziabad India Faculty of Applied Computing and Technology Noroff University College Kristiansand Norway

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Multi-parameter Discrete Grey Prediction With Few Observations

Multi-parameter Discrete Grey Prediction With Few Observatio...

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World Conference on Mechanical Engineering and Intelligent Manufacturing (WCMEIM)

作者： Wei Niu Pan Lei Wei Wang Xiaogang Song Juan Cheng AVIC Xi’an Aeronautics Computing Technique Research Institute Xi’an China AVIC First Aircraft Institute Xi’an China Faculty of Computer Science and Engineering Xi’an University of Technology Xi’an China Xi’an Institute of Applied Optics Xi’an China

ISBN: (纸本)9781665421737

The fault prediction of weapon is getting more difficult for its complex structure, unique operating environment and multi-plicate faults. Currently although the main fault prediction methods have achieved certain success in practical application, they all fall short in some aspects. Based on the discrete grey prediction theory and with an analysis of the disadvantages of the discrete grey model, an adaptive prediction model with several characteristic parameters for small samples is proposed. This model modifies the initial value and takes into account the interrelations of the parameters and characteristics of prediction series. The data of a certain aircraft engine are taken as an example for prediction and analysis, and the results showed that the model had high availability and precision.

关键词： Adaptation models Analytical models Atmospheric modeling Weapons Predictive models Prediction theory Data models

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Symmetries of cross caps

arXiv

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arXiv 2021年

作者： Honda, Atsufumi Naokawa, Kosuke Saji, Kentaro Umehara, Masaaki Yamada, Kotaro Department of Applied Mathematics Faculty of Engineering Yokohama National University 79-5 Tokiwadai Hodogaya Yokohama240-8501 Japan Department of Computer Science Faculty of Applied Information Science Hiroshima Institute of Technology 2-1-1 Miyake Saeki Hiroshima731-5193 Japan Department of Mathematics Faculty of Science Kobe University Rokko Kobe657-8501 Japan Department of Mathematical and Computing Sciences Tokyo Institute of Technology Tokyo152-8552 Japan Department of Mathematics Tokyo Institute of Technology Tokyo152-8551 Japan

It is well-known that cross caps on surfaces in the Euclidean 3-space can be expressed in Bruce-West's normal form, which is a special local coordinate system centered at the singular point. In this paper, we show a certain kind of uniqueness of such a coordinate system. In particular, the functions associated with this coordinate system produce new invariants on cross cap singular points. Using them, we characterize the possible symmetries on cross *** Codes 57R45, 53A05 Copyright © 2021, The Authors. All rights reserved.

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