bluuebunny/crossref_metadata_2025_split huggingface dataset:
Loop contributions to the scalar power spectrum due to quartic order action in ultra slow roll inflation
Authors: Maity Suvashis , Ragavendra H.V. , Sethi Shiv K. , Sriramkumar L. 
Published: May 2024

Abstract
The investigation of the theory of inflation beyond the linear
order in perturbations is important both for theoretical consistency and
potential observables.
In the contemporary literature, the calculation of modifications to the
inflationary scalar power spectrum due to the loops from the higher order
interaction terms in the Hamiltonian have led to an interesting discussion
regarding the validity of perturbation theory and the robustness of its
predictions.
Recently, there have been many efforts to examine the contributions to the
scalar power spectrum due to the loops arising from the cubic order terms
in the action describing the perturbations, specifically in inflationary
scenarios that permit an epoch of ultra slow roll (USR).
A brief phase of USR during inflation is known to lead to interesting features
in the scalar power spectrum which in turn has significant observational
consequences, such as the copious production of primordial black holes.
In this work, we consider the loop contributions to the scalar power spectrum
in a scenario of USR inflation arising due to the quartic order terms
in the action describing the scalar perturbations.
We compute the loop contributions to the scalar power spectrum due to the
dominant term in the action at the quartic order in a scenario wherein a
short phase of USR is sandwiched between two stages of slow roll (SR) inflation.
We analyze the behaviour of the loop contributions in terms of the parameters
that characterize the non-trivial inflationary dynamics, viz. the onset and
duration of USR, and the smoothness of transitions between the USR and SR phases.
We examine three different cases of the scenario — the late, intermediate and
early epochs of USR during inflation, each of which affects the scalar power
spectrum over different ranges of wave numbers.
In the inflationary scenario involving a late phase of USR, for reasonable choices
of the parameters, we show that the loop corrections are negligible for the entire
range of wave numbers.
In the intermediate case, the contributions from the loops prove to be scale
invariant over large scales and, we find that these contributions can amount
to 30% of the leading order (i.e. the Gaussian) power spectrum.
In the case wherein USR sets in early, we find that the loop contributions could
be negative and can dominate the power spectrum at the leading order, which
indicates a breakdown of the validity of the perturbative expansion.
We discuss the origin of the negative sign and the divergences that arise in the
loop contributions to the power spectrum.
We conclude with a brief summary and outlook.
Image ciphertexts classification method based on ghost imaging and intraclass-interclass difference
Authors: Zhao Dan , Li Yue , Zhang Jialin , Liu Yang , Sun Mingze , Li Xinjia , Yu Zhan , Li Ying , Yuan Sheng , Zhou Xin 
Published: May 2024

Abstract
In this paper, based on ghost imaging encryption, the preservation of Manhattan distance feature in ciphertext compared with plaintext is analyzed by utilizing the intraclass-interclass difference of image classification, and a classification method for image ciphertexts is proposed. After calculating Manhattan distance for both plaintexts and ciphertexts, respectively, the intraclass-interclass difference can be determined. The image that minimizes the intraclass-interclass difference is taken as the centroid to verify the consistency of the classification for various plaintext-ciphertext pairs under the same operation. The feasibility of proposed method is verified by numerical simulations, that the values of ACC and Weighted-F2 can be up to 90% when the MNIST is adopted as the test dataset. The whole process can be regarded as a kind of classification process by homomorphic encryption, however, different from the traditional homomorphic encryption methods based on mathematical model, the proposed method is accomplished based on the optical theory, and it does not require a lot of pre-training through models such as deep learning and neural networks, that means, reducing the computational expenses.
Inclusive quasielastic neutrino-nucleus scattering with energy density functional nuclear models*
Authors: Kim K. S. , Choi Soonchul , Gil Hana , Hyun Chang Ho 
Published: May 2024

Abstract
In this study, we calculated the inclusive charged-current neutrino-nucleus scattering from 40Ar in the quasielastic region. To explore the effect of uncertainties stemming from the nuclear structure, we used the KIDS (Korea-IBS-Daegu-SKKU) nuclear energy density functional and Skyrme force models, namely SLy4, SkI3, and MSk7. These models were selected to have distinct behavior in terms of the density dependence of the symmetry energy and the effective mass of the nucleon. In the charged-current neutrino scattering, the single- and double-differential cross sections were calculated for various kinematics. Total cross sections are reported as a function of the incident neutrino energy. The theoretical cross sections were compared with experimental data, and the roles of the effective mass and symmetry energy were investigated in terms of charged-current neutrino-nucleus scattering.
Calculation of the energy dependence of fission fragments yields and kinetic energy distributions for neutron-induced 235U fission*
Authors: Han 韩 Ya-Ning 亚宁 , Wei 韦 Zheng 峥 , Wang 王 Yi-Xuan 艺璇 , Huo 霍 Dong-Ying 东英 , Zhang 张 Peng-Qi 鹏琦 , Li 李 Ming 明 , Ma 马 Jun 骏 , Wu 吴 Kang 康 , Zheng 郑 Yong-Guang 永光 , He 何 Yuan 源 , Deng 邓 Zhi-Yong 志勇 , Jiang 蒋 Tian-Zhi 天植 , Zhuo 卓 Xiang-Lin 祥林 , Li 李 Jin 进 , Zhang 张 Yun 芸 , Zhang 张 Yu 宇 , Wang 王 Jun-Run 俊润 , Su 苏 Xiao-Dong 小东 , Yao 姚 Ze-En 泽恩 
Published: May 2024

Abstract
Fission fragments yields and average total kinetic energy are fundamental nuclear data for nuclear energy applications and the study of nuclear devices. Certain fission products, such as 95Zr, 99Mo, 140Ba, 144Ce, and 147Nd, serve as burnup monitors, assessing the number of fissions induced by neutrons on 235U. However, current experimental data for these fission products worldwide are inconsistent, introducing significant uncertainty into related scientific research. In this study, we employed the Potential-driving Model to calculate the independent yields of 235U and evaluate its advantages in such calculations. Additionally, we investigated the energy dependence of independent yields to select important products. Furthermore, we calculated the cumulative yields of 95Zr, 99Mo, 140Ba, 144Ce, and 147Nd, and compared them with existing literature data to explore the energy dependence of fission products for 235U. Given the lack of fission product yield data above 14.8 MeV, we extended our calculated incident neutron energy to 20 MeV, aiming to support future scientific research. The Geant4 physical model does not consider the influence of incident neutron energy on the average total kinetic energy of fission fragments; thus, we introduced the excitation function of the total kinetic energy of fission fragments recommended by Madland et al., which effectively describes the experimental data of the average total kinetic energy of fragments formed in 235U fission. In this paper, we comprehensively discuss the energy dependence of fission product yields and average total kinetic energy.
Reinforcement learning for closed-loop regulation of cardiovascular system with vagus nerve stimulation: a computational study
Authors: Sarikhani Parisa , Hsu Hao-Lun , Zeydabadinezhad Mahmoud , Yao Yuyu , Kothare Mayuresh , Mahmoudi Babak 
Published: May 2024

Abstract

Objective. Vagus nerve stimulation (VNS) is being investigated as a potential therapy for cardiovascular diseases including heart failure, cardiac arrhythmia, and hypertension. The lack of a systematic approach for controlling and tuning the VNS parameters poses a significant challenge. Closed-loop VNS strategies combined with artificial intelligence (AI) approaches offer a framework for systematically learning and adapting the optimal stimulation parameters. In this study, we presented an interactive AI framework using reinforcement learning (RL) for automated data-driven design of closed-loop VNS control systems in a computational study. Approach. Multiple simulation environments with a standard application programming interface were developed to facilitate the design and evaluation of the automated data-driven closed-loop VNS control systems. These environments simulate the hemodynamic response to multi-location VNS using biophysics-based computational models of healthy and hypertensive rat cardiovascular systems in resting and exercise states. We designed and implemented the RL-based closed-loop VNS control frameworks in the context of controlling the heart rate and the mean arterial pressure for a set point tracking task. Our experimental design included two approaches; a general policy using deep RL algorithms and a sample-efficient adaptive policy using probabilistic inference for learning and control. Main results. Our simulation results demonstrated the capabilities of the closed-loop RL-based approaches to learn optimal VNS control policies and to adapt to variations in the target set points and the underlying dynamics of the cardiovascular system. Our findings highlighted the trade-off between sample-efficiency and generalizability, providing insights for proper algorithm selection. Finally, we demonstrated that transfer learning improves the sample efficiency of deep RL algorithms allowing the development of more efficient and personalized closed-loop VNS systems. Significance. We demonstrated the capability of RL-based closed-loop VNS systems. Our approach provided a systematic adaptable framework for learning control strategies without requiring prior knowledge about the underlying dynamics.
Evolution of hydrogen isotopes retention behavior of in-situ boronization films in EAST
Authors: Puyang S.A. , Xu Y.P. , Guan Y.H. , Yang Z.S. , Ding F. , Zhou H.S. , Zuo G.Z. , Hu J.S , Luo G.-N. ,   the EAST Team
Published: May 2024

Abstract
Effective management of hydrogen isotopes retention in plasma-facing materials (PFMs) is crucial, particularly when utilizing tritium (T) as fuel, for the success of burning plasma operations. Boronization, a widely employed technique for controlling fuel recycling and mitigating impurity influx from plasma-surface interactions into the core of burning plasma, significantly influences hydrogen isotopes retention in PFMs. In this study, boronization films were generated by ion cyclotron range of frequency (ICRF) discharge assisted boronization with C2B10H12 as boron source on tungsten substrates at Experimental Advanced Superconducting Tokamak (EAST) which employing ITER-like water-cooled W monoblock PFMs and components (PFCs), followed by in-situ glow discharge (GD) cleaning for 2 h and 20 shots (180 s) edge-plasma exposure. Employing the Material and Plasma Evaluation System (MAPES), representative samples were analyzed after each process. The resultant carbon–boron films, dense and continuous, exhibited thickness up to 120 nm and were identified as amorphous in structure. It was observed that the D2-GD cleaning resulted in a significant isotopic exchange effect, effectively reducing the hydrogen (H) retention in the carbon–boron films. This hydrogen isotope replacement efficiency was found to be influenced by the thickness of the films. Notably, after boundary plasma exposure, samples with thicker films demonstrated an enhanced capacity to capture deuterium (D), adsorbing 10 times more D than bare tungsten (W). Our findings offer transformative insights for T recycling analysis and the plasma operation of devices like International Thermonuclear Experimental Reactor (ITER), highlighting the impact of boronization and subsequent treatments on hydrogen isotope retention behavior in PFMs.
Matrix Inverse Problemunder the Central Master Submatrix Constraint AX = B of the Generalized Centersymmetric Solution
Authors: Wang Wen , Aishanjiang Muyesaier , Han Xiying 
Published: May 2024

Abstract
This paper begins by identifying a problem related to the solvability of the matrix equation AX=B, particularly within the realm of generalized centrosymmetric matrices. It exploits the distinctive properties inherent in generalized centrosymmetric matrices, primary focus involves investigating their solutions within the context of the matrix equation AX=B. This paper establishes the necessary and sufficient conditions for solvability while formulating a comprehensive expression for the generalized centrosymmetric solution. Furthermore, the paper delves into addressing the associated optimal approximation quandary concerning a specified matrix within the solution set.
On the Computation of Floquet Multipliers for Periodic Solution in Piecewise-smooth Dynamical System
Authors: Lai Cheng , Chen Yanmao 
Published: May 2024

Abstract
The floquet multiplier is one of the most important indicators for the stability and bifurcation analysis for periodic solutions in nonlinear dynamical systems. Different from the well-established Floquet theory for the perturbation systems of smooth systems, much less has been understood in its counterpart for non-smooth systems. Here in this paper, we will report an unusual and interesting feature of the Floquet multipliers for piecewise-smooth dynamical systems. When the initial condition of the periodic solution is located at the boundary splitting the solution domain, the multipliers would be calculated falsely in certain circumstances, respectively, by a saltation matrix method or a direct numerical integration for the perturbation system. We elucidate the origin of the fake multipliers through perturbation analysis, and furthermore suggest an effective manner to avoid the miscalculation. This finding would be of fundamental significance to both the real-world applications and theory establishment of the Floquet theory in non-smooth systems
Multi-objective Evolutionary Algorithm with Variable Neighborhood Search for Optimizing Green Scheduling in a Re-Entrant Hybrid Flow Shop with Dynamic Events
Authors: Tong Shuiguang , Yan Xiaoyan , Tong Zheming , Wu Xiuli , Jin Xiaofeng 
Published: May 2024

Abstract
In previous studies on re-entrant hybrid flow shops, the impact of dynamic events was often ignored despite being a common occurrence in practical production. To address this issue and simultaneously reduce energy consumption, a multi-objective evolutionary algorithm with variable neighborhood search (MOEA-VNS) has been proposed to optimize the green scheduling problem in a re-entrant hybrid flow shop with dynamic events (RHFS-GDS).The approach involves creating a green dynamic scheduling optimization model, which aims to minimize the makespan, total energy consumption, and stability of rescheduling solutions. A hybrid green scheduling decoding method is then employed to select machines for each operation and calculate fitness. Additionally, three neighborhood structures are designed to improve the population diversity and optimality of the MOEA-VNS algorithm. Two rescheduling strategies are also adopted to handle dynamic events that may occur during production. Experimental results demonstrate that these approaches are effective in solving the RHFS-GDS problem and can guide actual production. By incorporating dynamic events and rescheduling strategies into the optimization process, the proposed MOEA-VNS algorithm provides a comprehensive solution to the complex challenges faced by re-entrant hybrid flow shops in practical production environments.
Research on Simulation and Evaluation of Environmental Adaptability of Ribbon Bridge Based on GMRES Algorithm
Authors: Zhang Kaikai , Chen Shi , Tu JianGang , Feng Ke 
Published: May 2024

Abstract
This paper focuses on the safety of ribbon bridge navigation at different flow speeds, including bow tilt and stern tilt. By constructing a CAD 3 dimensions simulation model and CFD simulation test model of a ribbon bridge, the Hydrodynamics of the ribbon bridge under different load conditions and flow velocity is simulated and calculated based on the GMRES algorithm.The environmental adaptability assessment was carried out from the aspects of bow tilt, stern tilt and flow velocity adaptability of the ribbon bridge, and the navigation safety and stability of the ribbon bridge in different environments were obtained, which could provide data reference and support for the safe navigation of the ribbon bridge in the actual waters.
A Novel Time-frequency Representation Method: The Generalized W Transform
Authors: Liu Baotong , Liu Qiyuan , Kang Xuefu , Liu Donglin , Jiang Yingshuang 
Published: May 2024

Abstract
The time-frequency representation (TFR) of seismic data is an effective technology for the detection of hydrocarbon reservoirs. To obtain the TFR of a seismic trace, a mathematical transform tool must be used to perform the decomposition of the seismic trace. This paper introduces an effective time-frequency decomposition method: the generalized W transform (GWT). We prove that the GWT is not a strictly reversible mathematical transform. The numerical experiment of a simulated seismic trace shows that the reconstruction relative error of inverse GWT could reach up to 20%. Nevertheless, the time-frequency spectrum obtained from its forward transform is particularly suitable for identifying oil and gas reservoirs. The presented GWT has three advantages: (1) Its time-frequency spectrum has a high temporal resolution even at low frequencies; (2) The spectral centroid corresponds to the peak frequency of the wavelet; (3) It eliminates the singularity of the original W transform (WT) at the peak frequency of the waveform. Compared with the wavelet transform and the S transform, the generalized W transform can more accurately characterize reservoirs. A real data example illustrates that the GWT provides better TFR performance and can more effectively identify hydrocarbon reservoirs.
Simplified Coupled Calculation Method for Aeroelasticity of Large Flexible Aircraft
Authors: Hou Yingyu , Zhang Ning , Liu Ziqiang 
Published: May 2024

Abstract
Large flexible aircraft have the characteristics of large wingspan, low wing load, slow flight speed, and significant impact from gust loads. Therefore, the load and response issues of such aircraft have received widespread attention from scholars at home and abroad. This article establishes a simplified coupled calculation method for gust loads on large flexible aircraft, achieving coupled calculations of flight motion, structural deformation, and aerodynamic changes at different time steps. Due to the simple strip method used for aerodynamic modeling, this method is relatively fast compared to the CFD-CSD calculation method. In order to verify the accuracy of the method, the calculation results were compared with those of the standard calculation method. The comparative calculation results show that the simplified coupling calculation method is relatively accurate for this calculation example and can play an important role in engineering experiments with low requirements for calculation results.
A Novel Method for Stability and Stabilization of Interconnected Descriptor Systems
Authors: Jiang Xiong , Li Jian 
Published: May 2024

Abstract
This paper addresses the issues of stability and stabilization in interconnected descriptor systems. The existing results based on different structures of the Lyapunov equation are not directly applicable to resolving time-varying problems. In this paper, based on the original literature, the stability of the system is re-described and extended, and new results are obtained, these results are extended to encompass time-varying singular systems exhibiting state-space symmetry, which is achieved by introducing a novel Lyapunov functional. The approach in this paper is grounded in the theory of trace inequalities for matrices, establishing a new sufficient condition for the admissibility of interconnected descriptor systems. In the last, an illustrative example demonstrates the feasibility of employing state feedback to render interconnected descriptor systems admissible, affirming the validity of our proposed method.
The Optimization of LSTM Model by Wavelet Transform and Simulated Annealing Algorithm
Authors: Zheng Hao , Hu Jinyu , Ye Yingyan 
Published: May 2024

Abstract
The main objective of this paper is to study the integration of data processing methods and intelligent algorithms to optimize the results of LSTM prediction models. In this paper, continuous wavelet transform is used to clean and preprocess time series data and improve data quality. Wavelet reconstruction is used to restore the results. At the same time, the simulated annealing algorithm is introduced as an intelligent algorithm to search globally for the best solution to achieve the optimal prediction result. The application of this comprehensive approach can also improve the quality and precision of data analysis in various fields, such as the parameter estimation of pulse signals in physics. The core challenge of the research is to optimize the data prediction results, and for this purpose, a multi-level method of continuous wavelet transform, deep learning model (LSTM) and simulated annealing algorithm is adopted.
Application of a New Simulation Training System for Marine Oil Separators
Authors: Chen Yahui , Sun Jianbo , Ruan Zhang , Zuo Chunkuan 
Published: May 2024

Abstract
Aiming at the problems of the old models of fuel oil and lube oil separators in the existing domestic and foreign marine engine simulators, which can not carry out fault checking training and can not meet the requirements of the existing seafarers’ assessment standards, based on the composition and working principle of Alfa SU type separator, the mathematical models of fuel and Lube oil separator pipeline system, SU oil separator and EPC50 control unit are established by using modular modeling method By using VC + + , the calculation program and visual operation interface of the mathematical model are compiled, and the SU oil separator simulation training system is developed and applied to the evaluation training and assessment of seafarers organized by Liaoning Maritime Administration The simulation experiment and application practice show that the operating interface is the same as that of the real system, and the simulation model can accurately reflect the changing rule of the real system and reproduce the common fault phenomena, it meets the requirements of Seafarers’ evaluation criterion.
The Stability of Compressed Air Storage Underground Gas Storage Chamber and Steel Lining Structure Analysis
Authors: Ji Yang , Di ShengJie , Lu Xi , Liu Jing , Huang Peng 
Published: May 2024

Abstract
According to the address characteristics and structural characteristics of an underground artificial chamber gas storage, a structural model of an underground chamber including steel lining, flexible concrete, concrete lining, and surrounding rock is established, and two limit states of large slip and no contact between steel lining and flexible concrete are simulated respectively. The stability of the surrounding rock and lining structure are calculated and analyzed by using large finite element software FLAC3D and ANSYS respectively. The results show that the maximum deformation of the surrounding rock is 1.57cm, the maximum stress of steel lining is 262.08MPa, and the changes of plastic zone, displacement, and steel lining stress of surrounding rock can meet the design requirements of this project.