bluuebunny/crossref_metadata_2025 huggingface dataset:
Application of quantum machine learning in a Higgs physics study at the CEPC
Authors: Fadol Abdualazem , Sha Qiyu , Fang Yaquan , Li Zhan , Qian Sitian , Xiao Yuyang , Zhang Yu , Zhou Chen
Published: January 2024

Machine learning has blossomed in recent decades and has become essential in many fields. It significantly solved some problems in particle physics — particle reconstruction, event classification, etc. However, it is now time to break the limitation of conventional machine learning with quantum computing. A support-vector machine algorithm with a quantum kernel estimator (QSVM-Kernel) leverages high-dimensional quantum state space to identify a signal from backgrounds. In this study, we have pioneered employing this quantum machine learning algorithm to study the [Formula: see text] process at the Circular Electron–Positron Collider (CEPC), a proposed Higgs factory to study electroweak symmetry breaking of particle physics. Using 6 qubits on quantum computer simulators, we optimized the QSVM-Kernel algorithm and obtained a classification performance similar to the classical support-vector machine algorithm. Furthermore, we have validated the QSVM-Kernel algorithm using 6-qubits on quantum computer hardware from both IBM and Origin Quantum: the classification performances of both are approaching noiseless quantum computer simulators. In addition, the Origin Quantum hardware results are similar to the IBM Quantum hardware within the uncertainties in our study. Our study shows that state-of-the-art quantum computing technologies could be utilized by particle physics, a branch of fundamental science that relies on big experimental data.
On the fractional quark–antiquark confinement and symplectic quantum mechanics
Authors: Abu-Shady M. , Luz R. R. , Petronilo G. X. A. , Santana A. E. , Amorim R. G. G.
Published: January 2024

Using the formalism of generalized fractional derivatives, a two-dimensional nonrelativistic meson system is studied. The mesons are interacting by a Cornell potential. The system is formulated in the domain of the symplectic quantum mechanics by means of the generalized fractional Nikiforov–Uvarov method. The corresponding Wigner function and the energy eigenvalues are then derived. The effect of fractional parameters [Formula: see text] and [Formula: see text] with the ground state solution is analyzed through the Wigner function for the charm–anticharm, bottom–antibottom and [Formula: see text] mesons. One of the fundamental achievements of such Cornell model is the determination of heavy quarkonia mass spectra. We have computed these masses and the present results are in agreement with the experimental data, improving previous theoretical results.
Identification Method of Unmanned Aerial Vehicle Graphical Control Strategy Based on Cloud Server
Authors: Liu Zhengyu , Cheng Zhenbang , Liu Yu , Jiang Qing
Published: January 2024

With the rapid development of unmanned aerial vehicle (UAV) technology, UAV has been widely used in agricultural plant protection, electric power inspection, security patrols, and other fields. However, the control system of the UAV is a complex human–computer interaction system, which requires higher requirements in practical applications. Due to differences in hardware design, software development, and other aspects among different manufacturers, these UAV control systems require high hardware requirements, resulting in a long development cycle. At the same time, in practical applications, due to various reasons, there are equipment failures that are difficult to detect and eliminate in a timely manner. This paper used the UAV graphical control strategy identification method based on cloud server technology, and used the support vector machine (SVM) algorithm to analyze its identification accuracy. The research results showed that when other conditions were the same, the number of researchers and experts who were satisfied with the drone trial effect of the cloud server was 42 and 10, respectively, accounting for 84% and 100%. It indicates that they believe that the cloud server can effectively improve the effectiveness of the drone graphical control strategy recognition method, indicating a positive relationship between the two.
PRLDPC: A Heuristics Prototype Reduction Method Based on Supervised Local Density Clustering for Instance-Based Classifiers
Authors: Huang Xing , Li Junnan
Published: January 2024

The prototype reduction (PR) methods, as an important data pre-processing task, can improve instance-based classifiers by removing noise and/or redundant samples. Recently, a series of PR methods with different heuristic strategies have been developed. Among them, clustering-based PR methods have shown competitive performance. Yet, they still suffer from the following issues: (a) most methods heavily rely on parameters; (b) most fail to remove suspicious noisy samples from the training set; (c) almost all fail to handle manifold data with nonspherical distributions effectively; (d) some have a relatively high time complexity. To advance the state of the art of clustering-based PR methods by overcoming the above issues, a novel heuristics PR method based on supervised local density peaks clustering (PRLDPC) is proposed. The main ideas of PRLDPC are concluded as follows: (a) a supervised local density peaks clustering (SLDPC) is first proposed to divide the training set into homogeneous and heterogeneous sub-clusters; (b) SLDPC-based edition method is second proposed to identify and remove noisy samples from heterogeneous sub-clusters; (c) an SLDPC-based condensing method is third proposed to obtain reduced samples from homogeneous sub-clusters and pruned heterogeneous sub-clusters. Intensive experiments have proven that (a) PRLDPC can outperform six state-of-the-art PR methods on extensive UCI and Kaggle data sets in weighing the reduction rate and classification accuracy of three instance-based classifiers; (b) PRLDPC is relatively fast and has a relatively low time complexity [Formula: see text].
Face Detection Framework for Accelerated Analysis of High-Quality Multimedia Content
Authors: Mool Akshay , Panda Jeebananda , Sharma Kapil
Published: January 2024

Modern face detection algorithms fail to provide optimal results when they have to deal with larger amounts of data per frame while processing higher quality videos. This paper tackles that problem and offers a solution to deploy commercially used state-of-the-art face detection algorithms to process only the regions of interest in a frame, and discard the rest to decrease the data to be processed. The model maintains the accuracy of the base algorithm while decreasing the processing time per frame, thereby increasing the overall efficiency. The selection of region of interest is dependent on the detection of facial window in the previous frame. Therefore, the choice of base algorithm plays an important role in determining the speed of the framework. The model achieves increased processing speeds of about 69–76% more than the standalone usage of the detection algorithms for analyzed frame rates.
Task Scheduling Optimization for UAV Electrical Image Fault Detection with Wireless Power Transfer
Authors: Wang Renshu , Wu Wenbin , Fu Zhiwei , Chen Bojian , Wu Xiaojie
Published: January 2024

The smooth operation of the power system is of significant importance for ensuring societal stability. Therefore, regular inspections of the power system are necessary. The most efficient method for power inspection is to utilize Unmanned Aerial Vehicles (UAVs) to assist inspection. However, the UAV inspection still needs human resources to operate and manage the UAVs effectively. This paper proposes a UAV-airport power inspection system, where the airport can operate and manage UAVs instead of humans. The key contribution of the system is the computation offloading technology and the Wireless Power Transfer (WPT) capability. In other words, the airport can help UAVs execute electrical image fault detection and the UAVs can be charged by the airport. We propose a joint optimization strategy for UAV flight speed, local execution frequency for fault detection, and WPT time to maximize the number of images in the electrical dataset captured by the UAV that have undergone power fault detection within the inspection time. Comprehensive experiments are conducted to verify the performance of the UAV-airport power inspection system and our optimization strategy.
Edge Perception Temporal Data Anomaly Detection Method Based on BiLSTM-Attention in Smart City Big Data Environment
Authors: Xia Bin , Zhou Jun , Kong Fanyu , Yang Jiarui , Lin Lin , Wu Xin , Xie Qiong
Published: January 2024

The improvement of edge perception layer anomaly detection performance has an immeasurable driving effect on the development of smart cities. However, many existing anomaly detection methods often suffer from problems such as ignoring the correlation between multiple source temporal sequences and losing key features of a single temporal sequence. Therefore, a new anomaly detection method using BiLSTM and attention mechanism is proposed. First, a fusion algorithm TCDCD was formed by combining Data Correlation Detection (DCD) and Temporal Continuity Detection (TCD) to preprocess Edge Perception Data (EPD). Then, BiLSTM is employed to gather deep-level features of EPD, and the attention mechanism is utilized to enhance important features that contribute to anomaly detection. Ultimately, the SoftMax classifier is employed to categorize abnormal data. The experimental findings from the SWaT and WADI datasets demonstrate that the suggested method achieves better performance than other newer anomaly detection methods. Among them, the accuracy, precision, recall and F1 of the proposed method on the SWaT dataset were 96.62%, 94.32%, 96.02% and 94.30%, respectively. In terms of performance, it is superior to traditional EPD anomaly detection models, and has good representational and generalization capabilities.
Modeling and Control of Drinking Water Supply Infrastructures Through Multi-Agent Systems for Sustainability
Authors: Asensi Carlos Calatayud , Martínez José Vicente Berná , Muñoz Lucía Arnau , Pérez Francisco Maciá
Published: January 2024

Traditionally, drinking water supply infrastructures have been designed to store as much water as possible and to do so during the energy cheap hours. This approach is unsustainable today. The use of digital systems capable of modeling the behavior of infrastructures and the creation of intelligent control systems can help to make drinking water supply systems more efficient and effective, while still meeting minimum service requirements. This work proposes the development of a control system, based on multi-agent systems (MAS), capable of generating an intelligent control over a drinking water infrastructure, based on the use of local interests of the agents and with an emergent behavior coherent with the needs. To validate the proposal, a simulator based on the infrastructures of a medium-sized Spanish city of 5000 inhabitants has been built and the control has been simulated using the MAS. The results show how the system can maintain the objectives set, handling unknown situations, and facilitating the development of future physical systems based on a just-in-time paradigm that guarantees sustainability, as it allows the generation of virtualizations of the infrastructures and their behavior, thus being able to study the best option for an infrastructure to resolve a supply situation.
A short presentation of the original Jones polynomial
Authors: Weber Claude
Published: January 2024

This text is a brief description of the Jones polynomial as it appears in the announcement in [9], together with Jones’ comments in the letter he addressed to Joan Birman on 31st May 1984 [8]. As much as possible I have followed the author’s initial notations. I add comments about the history of the events as I remember them, with the help of several testimonies of the “actors”. Among them: Didier Hatt-Arnold, Pierre de la Harpe, Cam Van Quach Hongler. It took me nontrivial efforts with my memories to get the chronology right (I hope so). The help of Eva Bayer was decisive. My warmest thanks to her. One may disagree with some of my statements which express a personal opinion. On purpose I have adopted a candid style.
Cosmological dynamics and observational constraints on a viable f(Q) nonmetric gravity model
Authors: Oliveros A. , Acero Mario A.
Published: January 2024

Inspired by an exponential [Formula: see text] gravity model studied in the literature, in this work we introduce a new and viable [Formula: see text] gravity model, which can be represented as a perturbation of [Formula: see text]CDM. Typically, within the realm of [Formula: see text] gravity, the customary approach to investigate cosmological evolution involves employing a parametrization of the Hubble expansion rate in terms of the redshift, [Formula: see text], among other strategies. In this work, we have implemented a different strategy, deriving an analytical approximation for [Formula: see text], from which we deduce approximated analytical expressions for the parameters [Formula: see text], [Formula: see text] and [Formula: see text], as well as the deceleration parameter q. In order to verify the viability of this approximate analytical solution, we examined the behavior of these parameters in the late-time regime, in terms of the free parameter of the model, b. We find that for [Formula: see text], [Formula: see text] shows a quintessence-like behavior, while for [Formula: see text], it shows a phantom-like behavior. However, regardless of the sign of b, [Formula: see text] exhibits a quintessence-like behavior. Furthermore, it has been deduced that as the magnitude of the parameter b increases, the present model deviates progressively from [Formula: see text]CDM. We have also performed a Markov Chain Monte Carlo statistical analysis to test the model predictions with the Hubble parameter, the Pantheon supernova (SN) observational data and the combination of those samples, obtaining constraints on the parameters of the model and the current values of the Hubble parameter and the matter density. Our findings indicate that this [Formula: see text] gravity model is indeed a viable candidate for describing the late-time evolution of the Universe at the background level.
An Approach to Study Bugs Infusion-Based Modeling and Optimal Release Time for Open-Source Software
Authors: Gupta Priyanka , Yadav Asha , Singh Ompal , Anand Adarsh , Kapur P. K.
Published: January 2024

The Concept of bugs’ infusion has been a very prominent area of research concerning Software Reliability Growth Modeling. The literature is evidence of some very useful proposals concerning this domain in terms of dealing with these issues based on error generation. However, whenever this topic is touched, researchers have considered a constant rate of error generation. In this work, authors have utilized two forms of bug infusions in the code. Furthermore, by using an MCDM technique of MAUT, the release time of the software under consideration has been determined. Results provide a satisfactory orientation for using the proposed models based on the infusion of bugs/errors and obtaining optimal release time.
AN INVESTIGATION ON THE CAUSES OF CORROSION IN AISI 1009 STEEL PIPE OF THE FIRE LINE IN THE GAS REFINERY
Authors: JAFARI ROBABEH , MOHAMMADZADEH HURIEH , GHEYSVAND ABOLFAZL
Published: January 2024

In view of several reported cases of cracking in the piping of the fire extinguishing sector in the oil tanks, a detailed identification of the failure mechanisms was required for the safe continuation of gas processing. Therefore, this study investigated the damage of steel fire extinguishing pipes after a certain period of operation. Severe thinning of the wall thickness was observed in two parts of the pipe. Comprehensive analytical investigations, including optical microscope (OM), quantometer, XRD, FE-SEEM, EDS and microhardness were performed. In addition, the corrosion behavior of the material was investigated by polarization and EIS analysis and the most plausible reactions and corrosion mechanisms were elucidated. The corrosion products on the inside of the pipe included oxide compounds, while on the outside, it was mainly sulfides and oxides. A drastic and slight decrease in microhardness was observed near the inner and outer surfaces, respectively. Electrochemical tests proved the formation of a porous and non-protective layer of corrosion products. The corrosion resistance was found to be weak due to several factors: the nature of the AISI-1009 steel, several micropores, the periodic formation and removal of non-continuous oxide layers and the roughness that accelerated the strong thickness reduction.
TAIL RISK MONOTONICITY IN GARCH(1,1) MODELS
Authors: GLASSERMAN PAUL , PIRJOL DAN , WU QI
Published: January 2024

The stationary distribution of a GARCH(1,1) process has a power law decay, under broadly applicable conditions. We study the change in the exponent of the tail decay under temporal aggregation of parameters, with the distribution of innovations held fixed. This comparison is motivated by the fact that GARCH models are often fit to the same time series at different frequencies. The resulting models are not strictly compatible so we seek more limited properties we call forecast consistency and tail consistency. Forecast consistency is satisfied through a parameter transformation. Tail consistency leads us to derive conditions under which the tail exponent increases under temporal aggregation, and these conditions cover most relevant combinations of parameters and innovation distributions. But we also prove the existence of counterexamples near the boundary of the admissible parameter region where monotonicity fails. These counterexamples include normally distributed innovations.
INFORMATION-BASED TRADING
Authors: BOUZIANIS GEORGE , HUGHSTON LANE P. , SÁNCHEZ-BETANCOURT LEANDRO
Published: January 2024

We consider a pair of traders in a market where the information available to the second trader is a strict subset of the information available to the first trader. The traders make prices based on information concerning a security that pays a random cash flow at a fixed time T in the future. Market information is modeled in line with the scheme of Brody, Hughston, and Macrina. The risk-neutral distribution of the cash flow is known to the traders, who make prices with a fixed multiplicative bid-offer spread and report their prices to a game master who declares that a trade has been made when the bid price of one of the traders crosses the offer price of the other. We prove that the value of the first trader’s position is strictly greater than that of the second. The results are analyzed by use of simulation studies and generalized to situations where (a) there is a hierarchy of traders, (b) there are multiple successive trades, and (c) there is inventory aversion. In these settings, we show that information is superior to strategy.
On the Hotelling Game with Close Players
Authors: Garcia-Perez Luis , Grau-Climent Juan , Losada Juan C. , Alonso-Sanz Ramon
Published: January 2024

The principle of minimum differentiation stated by Hotelling in his pioneer paper was proved to be invalid 50 years later, since there is a region where the players are so close that Nash equilibrium does not exist. Some authors have contributed with amendments to the original game in the aim of ensuring the existence of Nash equilibrium independently of the location of the players. However, this work analyzes the less frequently studied case of the Hotelling game with close players under different implementations of the game, considering elastic and inelastic demand (conventional Hotelling game, the Hotelling game with reservation cost and Hotelling-Smithies game). The study is supported by means of numerical simulation of the game.
Compactified Jacobians of extended ADE curves and Lagrangian fibrations
Authors: Czapliński Adam , Krug Andreas , Lehn Manfred , Rollenske Sönke
Published: January 2024

We observe that general reducible curves in sufficiently positive linear systems on K3 surfaces are of a form that generalize Kodaira’s classification of singular elliptic fibers and thus call them extended ADE curves. On such a curve [Formula: see text], we describe a compactified Jacobian and show that its components reflect the intersection graph of [Formula: see text]. This extends known results when [Formula: see text] is reduced, but new difficulties arise when [Formula: see text] is non-reduced. As an application, we get an explicit description of general singular fibers of certain Lagrangian fibrations of Beauville–Mukai type.
EFFECTS OF LIGAMENT MODELING APPROACHES ON LOAD TRANSFER AND RANGES OF MOTION IN AN INTACT LUMBAR SPINE: A FINITE ELEMENT INVESTIGATION
Authors: PRADEEP KISHORE , MAHAPATRA BISWAJIT , PAL BIDYUT
Published: January 2024

The complex biomechanics of the lumbar spine and its associated structures have been studied using finite element (FE) analysis. Several FE studies used simplified approaches to model the spinal ligaments, assuming that the significant effect of spinal ligaments is on the ranges of motion (ROM) rather than stress–strain distributions on the vertebral body. A comparison of different ligament configurations (tension-only and tension & compression) and their effects on ROM and stress–strain distribution is necessary to verify the above assumption. In this study, an FE model of the L1-L5 lumbar spine was developed and analyzed for three different cases of physiological movements (flexion, extension, and lateral bending). It was found that the spinal flexibility was almost equally constrained by both ligament configurations. The variation in ROM observed for tension-only ligament and tension & compression ligament model ranged between 0.5∘ and 4∘ under all loading cases. However, no considerable changes were observed in stress–strain distributions. The findings of this study indicate that assuming the impact of ligaments only in restricting the ROM is reliable and two-node tension-only or tension & compression elements are useful to model the spinal ligaments in FE studies.
ENHANCED CHAMELEON SWARM OPTIMIZATION-BASED ENSEMBLE LEARNING APPROACH FOR SLEEP STAGE CLASSIFICATION FRAMEWORK
Authors: RAVI RAJA A. , POLASI PHANI KUMAR
Published: January 2024

In today’s world, every individual faces the maladies of sleep malfunction, which is diagnosed by analyzing the PolySomnoGraphy (PSG) records. The primary remedy is systematically identifying the sleep stages. But practically, the sleep stage analysis depends on the visual examination of the 30[Formula: see text]s time duration of PSG record signals. Such expertise has developed an enormous model to rectify the issues. Albeit, it exhibits effective performance, it becomes cumbersome to handle the large-scale dimension of data. Thus, the model becomes fragile when it is implemented in some sleep clinics. Even if it contains a better compatible of PSG; it subsists with limitations such as obtaining less efficiency and mitigates the robustness of the system. To alleviate this problem, a novel scheme is proposed by an Ensemble Learning Approach (ELA) for sleep stage classification using ElectroEncephaloGram (EEG) signals. Initially, the required EEG signals for the proposed model are gathered from the standard data sources. Further, the garnered EEG signals are utilized in the sleep signal extraction phase, in which the band pass filter is employed for extracting the sleep signals. The extracted sleep signal is used under the signal decomposition phase, which is accomplished by 5-level Discrete Wavelet Transform (DWT) for decomposing the sleep signals. Subsequently, the decomposed signals are given into the feature extraction phase, where the spectral features and Principal Component Analysis (PCA) are used for extracting the EEG signal features. Further, the extracted features are fed as input into ELA using Deep Temporal Convolutional Networks (DTCNs), Long Short-Term Memory (LSTM), and Deep Neural Networks (DNNs) for classifying the sleep stages. Here, the hyper-parameter tuning is engaged for enhancing the classification performance using the Modified Position Updated Chameleon Search Algorithm (MPU-CSA). The experimental analysis is conducted by distinct validating metrics for revealing the efficacy of the developed sleep stage classification model over the conventional models.
A simple method to construct multivariate dual framelets with high-order vanishing moments
Authors: Lu Ran
Published: January 2024

When constructing multivariate framelets, it is often unavoidable to work with matrices of multivariate trigonometric polynomials and complicated matrix decomposition problems. These problems become even harder when good properties such as high-order vanishing moments are required on the framelets. In this paper, we establish a new method for constructing multivariate dual framelets with high-order vanishing moments. The underlying scheme of our algorithm is the famous Mixed Extension Principle that allows us to derive the high-pass filters (or framelet generators) from a given pair of refinable filters with high-order linear-phase moments. Our method only involves two steps: (1) directly constructing the first few pairs of high-pass filters by using the linear-phase moment conditions of the refinement filters; (2) solving a system of linear equations to obtain the rest of the high-pass filters. Both are easy to implement for scientific computation, regardless of what dimension or dilation matrix we work with. Apart from high-order vanishing moments, we will see that if the refinement filters take coefficients from some subfield [Formula: see text] of [Formula: see text] that is closed under complex conjugation, so do the high-pass filters. Furthermore, our algorithm gives the upper bounds for the number of high-pass filters in arbitrary dimensions. At the end of the paper, we will give several illustrative examples, from which we can also see that the support sizes of the high-pass filters are comparable with those of the refinement filters.
Quantum Zeno effect: A qutrit controlled by a qubit
Authors: Kumari Komal , Rajpoot Garima , Jain Sudhir Ranjan
Published: January 2024

For a three-level system monitored by an ancilla, we show that the quantum Zeno effect can be employed to control quantum jump for error correction. Further, we show that we can realize cNOT gate, and effect dense coding and teleportation using a three-level system with an ancilla. We believe that this work paves the way to generalize the control of a qudit.
A Multi-Scale Analysis of Unidirectional Carbon Fiber-Reinforced Polymer Composite
Authors: Alam Shah , Guo Guodong , Flores Mark , Varshney Vikas
Published: January 2024

In this paper, a multi-scale computational analysis is conducted based on representative volume element (RVE) modeling and molecular dynamics (MD) simulation of a carbon fiber-reinforced polymer composite micropillar. The fiber distribution in the micropillar was obtained from a specimen manufactured for real micropillar mechanical testing. Based on the failure modes directly observed from the micropillar testing, the RVE model aims to capture the major failure mechanism, which is the fiber/matrix interface failure of the composite. In the finite element model, the properties of each individual phase, namely, the fiber and the matrix are first identified. Then, cohesive elements are incorporated into the interphase region between the fiber and matrix to capture the interphase debonding. Finally, the global stress–strain relation of the composites is obtained and compared to experimental results. A good correlation was found. Due to convergence difficulties associated with stiffness degradation, the simulation was performed in the commercial software ABAQUS/Explicit. A Molecular dynamics simulation is performed to investigate the stress–strain relation and shear strength of carbon fiber-reinforced polymer composites at nanoscale. The compressive strength and stiffness obtained from MD simulation were lower than that observed from experiments. Interface debonding is a critical failure mode, of which the failure strength is determined from fiber pull-out simulation. The results can be used in RVE simulation to deduce the interphase properties. The modeling method allows the detailed failure mechanisms of the composite microstructure to be captured and a correlation between the micro-properties and macro-properties of the material to be established.
A New Method for Calculating the Load Shared by the Primary Support of Deep-Buried Rheological Soft Rock Tunnels by Considering the Flexible Primary Support
Authors: Zhou Jian , Yang Xinan , Ma Mingjie
Published: January 2024

The gap between the theoretical solution of the load and the field measurement is too large to guide the support design while the primary support of deep-buried soft rock tunnels shares a large surrounding rock load. In this study, the flexible support effect of the primary support and the rheological effect of the surrounding rock were considered. The calculation procedure of load shared by the primary support when the surrounding rock is in the accelerated, uniform velocity and decelerated stages was proposed. Then, the reliability of the computational method of the study was verified by numerical simulation methods. The analysis shows that the surrounding rock in the accelerated, uniform and decelerated stages of the load sharing of the primary support presents increasing, unchanged and decreasing states and that the formation of the primary support load is mainly concentrated in the stage of accelerated movement of the surrounding rock. Enhancement of the primary support parameters, while significantly increasing the support safety factor, has a limited effect on reducing load shared by the primary support. Thus, it is recommended that the advanced support can be strengthened to reduce the pre-deformation of the surrounding rock in the unsure soft rock section to reduce the load shared by the primary support. The primary support design of tunnels with rheological rock should account for the long-term rheological load effect of the surrounding rock. The results of this study can provide guidance for the prediction of primary support load sharing for dynamic tunnel construction.
Nonlinear Dynamic Analysis for a Jeffcott Rotor Considering Varying Connection Stiffness of Bolted Joint
Authors: Zhang Xuefei , Wang Yuefang , Marmysh Dzianis
Published: January 2024

Bolted joints have been widely used in rotor assemblies of aircraft engines. A typical bolt joint is composed of two metal parts connected mechanically with pre-tensioned bolts. During operations, the bolting pretensions can vary with the changing contacting relationship between the parts, which makes the connection stiffness of the joint nonlinear on the macroscopic scale. The fundamental problems of the dynamical analysis for bolted joints are (1) to identify the transition of the change of the connection stiffness and properly model the overall connection stiffness and (2) to investigate the influence of such variable stiffness on the rotor vibration. In this paper, an analytical model is proposed considering the effect of bolted joints. The bolt of the joint is simplified as a two-node spring-like connection element considering different axial tension and compression stiffness, non-uniform preload of bolts and the contact interface friction described based on Coulomb friction. The dynamic equations of the rotor system are established based on the lumped mass modeling and the proposed connection element, and numerically solved through the Runge–Kutta method. The results indicate that the rotor system exhibits a variety of states, such as period-1 motion, multi-period motion, quasi-periodic motion and chaotic motion. The effects of friction coefficient and preload of the bolts on the nonlinear dynamic behaviors of the bolted rotor system are demonstrated in detail.
Nonlinear Deflection Characteristics of Weakly Bonded Curved Composite Structure Under Hygro-Thermo-Mechanical Loadings
Authors: Hirwani Chetan Kumar , Kumar Ravi , Kumar Erukala Kalyan , Panda Subrata Kumar
Published: January 2024

A customized MATLAB algorithm is developed for internally separated laminated composite panels experiencing large geometric deformations. The algorithm is designed to calculate nonlinear deflection responses under the effect of combined hygro-thermo-mechanical (HTM) loading. The hygrothermal (HT) load on the panel is in-plane, whereas the mechanical load acts upon the structure transversely. The analysis has adopted various kinematic theories and finite element (FE) techniques to determine the deformations computationally. The deflection behavior of the composite is characterized through a macro mechanical model considering the nonlinearity in geometry with and without accounting for the stretching effects across the panel thickness. Additionally, the changes in composite properties due to the environment and/or loadings are adopted to achieve a realistic response, preserving continuity assumptions between the individual layers of the weakly bonded structure. Moreover, various numerical examples are examined through different models to illustrate the influences of environmental factors and design-specific parameters on the flexural strength of weakly bonded structures. The findings strongly emphasize the necessity of employing diverse kinematic models when examining laminated structures, both with and without HT loading, while also acknowledging the potential for debonding.
Research on Superelasticity of Shape Memory Alloys Based on Reproducing Kernel Particle Method
Authors: Zhang Yijie , Wei Gaofeng , Liu Tengda , Li Anqing , Ren Fei
Published: January 2024

Shape memory alloys (SMAs), known for their unique superelastic effect, exhibit superior mechanical properties compared to traditional materials. In this study, the reproducing kernel particle method (RKPM) is applied to investigate the superelastic effect of the SMAs. A segmented linearization RKPM model is developed to establish the stress–strain relationship for the superelastic effect, and relevant formulas of superelasticity for the SMAs are derived. Finally, the applicability and accuracy of the RKPM in analyzing the superelastic effect of the SMAs are demonstrated through numerical examples.
Electromagnetic Characteristics and Microwave Absorbing Properties of a Novel Stainless Steel Powder
Authors: Zhang Jun , Liu Xiaoying , Huang Jiangbo , Chen Hua , Wan Haochuan , Yang Pingan
Published: January 2024

In order to solve the problem of insufficient oxidation resistance and corrosion resistance of magnetic metal absorbent represented by carbonyl iron powder, a wave absorbing composite material which consists of different filling mass proportions of the atomized electrolytic stainless steel powder and paraffin wax is investigated. The electromagnetic (EM) characteristics and absorbing performance of the proposed composite material were tested with Agilent N5234A vector network analyzer in a frequency range of 2–18GHz. The experimental results show that the real and imaginary parts of the dielectric permittivity of stainless steel powder/paraffin composites will increase with the filling mass fraction in the test frequency band, while the real part of the permeability [Formula: see text] decreases with the increase of the mass fraction, and the imaginary part [Formula: see text] increases with the increase of the mass fraction. At a thickness of 3 mm, with the filling mass fraction increasing from 20 wt.% to 60 wt.%, the peak frequency of reflection loss (RL) moves to low frequency from 17.92 GHz to 16 GHz. Meanwhile, the minimum reflection loss (RL[Formula: see text]) also shows a downward trend, and the RL[Formula: see text] value with a filling mass fraction of 60 wt.% is −8.93[Formula: see text]dB. It can be seen that stainless steel powder shows good microwave absorbing performance, and it has excellent anti-oxidation, and anti-corrosion properties. Based on the excellent performance of stainless steel powder, its absorption performance is expected to be further improved through multi-layer optimization design, so as to meet the needs of electromagnetic protection in harsh environments.
On the unitary one matching Bi-Cayley graph over finite rings
Authors: Shahini Fatemeh , Khashyarmanesh Kazem
Published: January 2024

Let [Formula: see text] be a finite ring (with nonzero identity) and let [Formula: see text] denote the unitary one-matching bi-Cayley graph over [Formula: see text] In this paper, we calculate the chromatic, edge chromatic, clique and independent numbers of [Formula: see text] and we show that the graph [Formula: see text] is a strongly regular graph if and only if [Formula: see text]. Also, we study the perfectness of [Formula: see text] Moreover, we prove that if [Formula: see text] and [Formula: see text] then [Formula: see text] and [Formula: see text], where [Formula: see text] and [Formula: see text] are Jacobson radicals of [Formula: see text] and [Formula: see text], respectively. Furthermore, for a finite field [Formula: see text] with [Formula: see text] and a ring [Formula: see text], we prove that if [Formula: see text] where [Formula: see text] is an integer, then [Formula: see text] and so [Formula: see text] is a semisimple ring.
Electrical performance study of carbon-based memristor with additional MXene capping layer
Authors: Lu Haotian , Wang Lei
Published: January 2024

A novel memristor device using platinum (Pt)/amorphous carbon (a-C)/MXene (Ti3C2)/silver (Ag) structure was proposed and experimentally fabricated. Its electrical measurements clearly indicated that in comparison with the device without MXene capping, the proposed device exhibited lower “SET” voltage, longer endurance, and better stability. This can be attributed to the lower formation energy of Ag nanoclusters inside the MXene layer, derived from the first-principles calculations. Numerous device conductances were also obtained by choosing appropriate “SET” and “RESET” pulses, and thus enabled the imitation of synaptic potentiation/depression and pair-pulse facilitation. This implied its potential for in-memory computing and neuromorphic computing applications.
Enhanced photocatalytic activity in Pr3+-doped Bi2WO6 through Nd3+ co-doping
Authors: Zhang Xianghui , Zhao Yige , Li Junge , Wang Qianqian , Yin Yanyan , Zhao Xin
Published: January 2024

Nd/Pr co-doped [Formula: see text] photocatalytic materials were prepared via a simple one-step hydrothermal method. The physicochemical properties of the prepared samples were characterized by XRD, Raman, UV-Vis DRS, PL, SEM, BET analysis and photocatalytic tests. The results showed the co-dopants of Nd and Pr ions with the concentration of 1% Nd and 1% Pr exhibited the highest photocatalytic activity. Rhodamine B (RhB) was almost completely degraded within only 10 min. The increased photocatalytic activity on the co-doped [Formula: see text] is attributed to the increasing specific surface area, the inhibited recombination of photogenerated carriers and the reduced band gap energy. This study provides a helpful strategy for developing effective photocatalysts.
Optimal radio labelings of the Cartesian product of the generalized Peterson graph and tree
Authors: Vasoya Payal , Bantva Devsi
Published: January 2024

A radio labeling of a graph [Formula: see text] is a function [Formula: see text] such that [Formula: see text] for every pair of distinct vertices [Formula: see text] of [Formula: see text]. The radio number of [Formula: see text], denoted by [Formula: see text], is the smallest number [Formula: see text] such that [Formula: see text] has radio labeling [Formula: see text] with max[Formula: see text] = [Formula: see text]. In this paper, we give a lower bound for the radio number for the Cartesian product of the generalized Petersen graph and tree. We present two necessary and sufficient conditions, and three other sufficient conditions to achieve the lower bound. Using these results, we determine the radio number for the Cartesian product of the Peterson graph and stars.
On the harmonic index in cactus graphs
Authors: Rad Nader Jafari , Hasni Roslan , Kamarulhaili Hailiza
Published: January 2024

The harmonic index of graph [Formula: see text] is the value [Formula: see text], where [Formula: see text] refers to the degree of [Formula: see text]. Zhong [The harmonic index for graphs, Appl. Math. Lett. 25 (2012) 561–566] proved that [Formula: see text] for any tree [Formula: see text] of order [Formula: see text]. As a results of Ali, Raza and Bhatti [Some vertex-degree-based topological indices of cacti, Ars Combin. 144 (2019) 195–206], it can be shown that [Formula: see text] for any tree [Formula: see text] of order [Formula: see text] with [Formula: see text] leaves, where [Formula: see text]. In this paper, we generalize this lower bound for all cactus graphs. We present a lower bound for the harmonic index of cactus graphs [Formula: see text] in terms of the order, the number of leaves and the number of cycles, and characterize all cactus graphs achieving equality for the given bound.
On bijective product square k-cordial labeling
Authors: Santrin Sabibha R. , Jeya Daisy K. , Jeyanthi P. , Youssef Maged Z.
Published: January 2024

A bijective product square [Formula: see text]-cordial labeling of a graph [Formula: see text] with vertex set [Formula: see text] and edge set [Formula: see text] is a bijection [Formula: see text] from [Formula: see text] to [Formula: see text] such that the induced edge function [Formula: see text] from [Formula: see text] to [Formula: see text] defined as [Formula: see text] for every edge [Formula: see text] satisfies the following condition. (i) If [Formula: see text] is the number of edges labeled with [Formula: see text] under [Formula: see text], then [Formula: see text] where [Formula: see text]. A graph which admits a bijective product square [Formula: see text]-cordial labeling is called bijective product square [Formula: see text]-cordial graph. In this paper, we find upper limit of the size of the bijective product square [Formula: see text]-cordial graph for [Formula: see text] and [Formula: see text]. Also, we prove that every graph is a subgraph of a connected bijective product square [Formula: see text]-cordial graph for all odd prime [Formula: see text]. In addition, we establish the relation between bijective product square [Formula: see text]-cordial and [Formula: see text]-product cordial graphs.
Green Synthesis of Metal Nanoparticles and their Medicinal Application in Treatment of Cancer
Authors: Saini Anshu , Verma Renu , Tiwari Richa , Lamba Narendra Pal , Chauhan Manmohan Singh
Published: January 2024

Study of nanoparticles has attracted the immense attention of researchers because of their wide applications in the medicine, chemical industries, and biotechnology. This paper highlights that plants and microbes can be a source of bio-compounds in nanoparticle synthesis in place of toxic chemicals. As this is an environmentally friendly approach following the principles of green synthesis which is cheap and is not toxic. Both sources provide antioxidant, anticancer, and antimicrobial properties which hold great importance in the manufacturing of NPs. This review aims to bring together the diversity of synthesized metallic nanoparticles mediated by plant extracts, fungi, algae, bacteria and yeasts. All the mentioned bio-resources contain biomolecule which includes protein and enzyme which serves the twin action of both reduction and capping of the synthesized nanoparticles. The synthesized NPs are characterized by using UV-visible spectrometry, FT-IR, XRD, TEM, SEM and EDX. Also, the biomedical application of the synthesized NPs is explored in the treatment of cancer.
Selective Electrochemical Detection of Thymoquinone in Black Cumin Using Titanium Oxide-Modified Graphite Paste Electrode
Authors: Banerjee Sanjoy , Dhara Milan , Naskar Hemanta , Ghatak Barnali , Babar Ali SK. , Das Nityananda , Das Deepak Kumar , Bandyopadhyay Rajib , Tudu Bipan
Published: January 2024

Thymoquinone, a significant component in medicine and the spice industry due to its potent antioxidant properties, is the focus of this paper. The development of a titanium oxide-modified graphite paste electrode is presented for the detection of thymoquinone in black cumin. The electrochemical characteristics of the thymoquinone molecule were explored in a 0.1 M phosphate buffer solution of pH of 6. The modified graphite paste electrode exhibits excellent linearity across the concentration range of 0.1-200 [Formula: see text]M with limit of detection is 0.02 [Formula: see text]M. The developed electrode exhibits commendable repeatability, reproducibility and exceptional sensitivity towards thymoquinone. The separation of various concentrations of thymoquinone samples such as Mousumi, Priya Gold, Sunrise and DNV using Principal Component Analysis (PCA) with the Separability Index (SI) of 67.89 utilized to differentiate between different thymoquinone concentrations.
THE IMPACT OF INTERGENERATIONAL PARENTING ON AC COOLING DEMAND: EVIDENCE FROM SOUTHERN CHINA
Authors: ZHU MENGSHU , ZHONG RUOHAN , WEI CHU
Published: January 2024

Given ever-increasing temperatures, household air conditioner (AC) usage is increasing rapidly, posing significant sustainability challenges. Identifying the drivers of residential demand is critical, especially in developing countries such as China. In contrast to assumptions made by the existing literature, intergenerational parenting and multigenerational households are widespread in China. To address this oversight, this study is the first to use data from an appliance-level, 15-min AC operation database from southern China to quantify the impact of intergenerational parenting families on cooling-related electricity consumption and examine its mechanisms. First, intergenerational parenting significantly positively impacts such consumption. Compared to working-age households, Intergenerational households consume 49% more electricity for cooling, and families with children consume 28% more. In contrast, families with older adults but no children use 6% less electricity for cooling than working-age families. Second, intergenerational families use the AC for 0.5 additional hours per day, set the temperature 0.9°C lower, and keep the AC idle longer than working-age households. Third, intergenerational parenting’s impact shows an M-shaped pattern throughout the day (peaking at 9:00 and 17:00). Fourth, working-age adults significantly moderate the impact of intergenerational parenting on electricity demand.
Strain Effect on Optoelectronic and Thermoelectric Properties of the Perovskite NaGeI3
Authors: Labrim H. , Benyoussef S. , Jabar A. , Laanab L. , Bahmad L.
Published: January 2024

In this research, we investigate the impact of strain on the optoelectronic and thermoelectric properties of the NaGeI3 perovskite by employing a combination of density functional theory (DFT) and Boltzmann transport theory. Initially, we examine the NaGeI3 material’s structural, electronic, and optical properties using the generalized gradient approximation (GGA). The results reveal that this material proves the behavior of a semiconductor with a p-type character and possesses interesting optical properties. Furthermore, we outline the thermoelectric properties of the material, including the Seebeck coefficient, the electrical and thermal conductivities, the figure of merit (ZT), and the power factor (PF). Our investigations indicate that the Seebeck coefficient exhibits positive and increasing values with the application of strain. This confirms the p-type semiconductor behavior observed in the studied material. Additionally, the NaGeI3 compound demonstrates significantly high values of the ZT when compared with the existing thermoelectric materials, both at room and high-temperature values. This suggests that the NaGeI3 compound stands as a promising potential candidate for optoelectronic and/or thermoelectric applications.