作者机构：
[Yang, Xi-Yan] Yangtze Univ, Sch Phys & Optoelect Engn, Jingzhou 434023, Peoples R China.;[Lai, Xiao-Yu; Tan, Wei-Wei; Yang, Xi-Yan] Hubei Univ Educ, Res Ctr Astron, Wuhan 430205, Peoples R China.;[Tan, Wei-Wei] Cent China Normal Univ, Key Lab Quark & Lepton Phys, Minist Educ, Wuhan 430079, Peoples R China.;[Xu, Ren-Xin] Peking Univ, Sch Phys, Beijing 100871, Peoples R China.;[Xu, Ren-Xin] Peking Univ, Kavli Inst Astron & Astrophys, Beijing 100871, Peoples R China.
通讯机构：
[Lai, XY ] H;Hubei Univ Educ, Res Ctr Astron, Wuhan 430205, Peoples R China.
关键词：
dense matter;(stars:) pulsars: general;(stars:) gamma-ray burst: general
摘要：
Strangeon stars, which are proposed to describe the nature of pulsar-like compact stars, have passed various observational tests. The maximum mass of a non-rotating strangeon star could be high, which implies that the remnants of binary strangeon star mergers could even be long-lived massive strangeon stars. We study rigidly rotating strangeon stars in the slowly rotating approximation, using the Lennard-Jones model for the equation of state. Rotation can significantly increase the maximum mass of strangeon stars with unchanged baryon numbers, enlarging the mass-range of long-lived strangeon stars. During spin-down after merger, the decrease of radius of the remnant will lead to the release of gravitational energy. Taking into account the efficiency of converting the gravitational energy luminosity to the observed X-ray luminosity, we find that the gravitational energy could provide an alternative energy source for the plateau emission of X-ray afterglow. The fitting results of X-ray plateau emission of some short gamma-ray bursts suggest that the magnetic dipole field strength of the remnants can be much smaller than that of expected when the plateau emission is powered only by spin-down luminosity of magnetars.
摘要：
In this study, we compute the electromagnetic and hadronic decay widths of the S-wave fully heavy tetraquark T4Q (Q = c or b) at lowest order in alpha s and v, in the framework of nonrelativistic QCD. The short-distance coefficients are determined through the standard procedure of matching. The nonperturbative long-distance matrix elements are related to the phenomenological four-body Schrodinger wave functions at the origin, whose values are taken from literature. The branching fractions are predicted to be around 10-3 and 10-6 for the T4c hadronic decay and electromagnetic decay, respectively. Combining our results with the T4c production cross sections at the LHC, we also predict the event numbers for various decay channels. With integrated luminosity L = 100 fb-1, it is expected that the event numbers can reach 103-104 for T4c -> gamma gamma, and 105-106 for T4c -> LH, at the LHC. The detecting prospect is promising. In addition, the decay widths of T4b are estimated based on simple dimensional analysis as well as velocity scaling rule.
作者机构：
[Zhang, Yang; Zhang, Y] Shanghai Polytech Univ, Sch Econ & Management, Shanghai 201209, Peoples R China.;[Wang, Xuechun] Hubei Univ Technol, Sch Elect & Elect Engn, Wuhan 430068, Peoples R China.;[Wen, Jinghao] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.;[Zhu, Xianxun] Shanghai Univ, Sch Commun & Informat Engn, Shanghai 200444, Peoples R China.
通讯机构：
[Zhang, Y ] S;Shanghai Polytech Univ, Sch Econ & Management, Shanghai 201209, Peoples R China.
关键词：
Human presence sensing;Machine learning;Non-contact;Wireless perception
摘要：
In the swiftly evolving landscape of Internet of Things (IoT) technology, the demand for adaptive non-contact sensing has seen a considerable surge. Traditional human perception technologies, such as vision-based approaches, often grapple with problems including lack of sensor versatility and sub-optimal accuracy. To address these issues, this paper introduces a novel, non-contact method for human presence perception, relying on WiFi. This innovative approach involves a sequential process, beginning with the pre-processing of collected Channel State Information (CSI), followed by feature extraction, and finally, classification. By establishing signal models that correspond to varying states, this method enables the accurate perception and recognition of human presence. Remarkably, this technique exhibits a high level of precision, with sensing accuracy reaching up to 99%\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\%$$\end{document}. The potential applications of this approach are extensive, proving to be particularly beneficial in contexts such as smart homes and healthcare, amongst various other everyday scenarios. This underscores the significant role this novel method could play in enhancing the sophistication and effectiveness of human presence detection and recognition systems in the IoT era.
关键词：
Interpersonal uncertainty;Social and emotional loneliness;Mobile phone addiction;Optimism;College students
摘要：
The main aim of this study was to investigate whether and how interpersonal uncertainty results in mobile phone addiction. Sampling 997 Chinese college students, we found that interpersonal uncertainty had positive predictive power for mobile phone addiction, and social and emotional loneliness mediated the link between interpersonal uncertainty and mobile phone addiction. Additionally, optimism moderated the direct effect of interpersonal uncertainty on mobile phone addiction and the first-stage mediating effect of interpersonal uncertainty on mobile phone addiction through social and emotional loneliness; that is, the higher the level of optimism among college students, the weaker the (in)direct effect of interpersonal uncertainty on mobile phone addiction. Our research findings reveal the role and mechanisms of interpersonal uncertainty in mobile phone addiction and shed light on the importance of reducing interpersonal uncertainty and fostering positive traits to effectively prevent and intervene in mobile phone addiction.
摘要：
Eukaryotic DNA is packaged into chromatin in the nucleus, restricting the binding of transcription factors (TFs) to their target DNA sites. FOXA1 functions as a pioneer TF to bind condensed chromatin and initiate the opening of local chromatin for gene expression. However, the principles of FOXA1 recruitment and how it subsequently unpacks the condensed chromatin remain elusive. Here, we revealed that FOXA1 intrinsically forms submicron-sized condensates through its N- and C-terminal intrinsically disordered regions (IDRs). Notably, both IDRs enable FOXA1 to dissolve the condensed chromatin. In addition, the DNA-binding capacity of FOXA1 contributes to its ability to both form condensates and dissolve condensed chromatin. Further genome-wide investigation showed that IDRs enable FOXA1 to bind and unpack the condensed chromatin to regulate the proliferation and migration of breast cancer cells. This work provides a principle of how pioneer TFs function to initiate competent chromatin states using their IDRs.
期刊：
Journal of Organizational and End User Computing,2024年36(1) ISSN：1546-2234
通讯作者：
Peng, Y
作者机构：
[Xiong, Li; Chen, Yuanyuan] Cent China Normal Univ, Wuhan, Peoples R China.;[Peng, Y; Xiong, Li; Peng, Yi] Yangtze Univ, Jingzhou, Peoples R China.;[Ghadi, Yazeed Yasin] Al Ain Univ, Al Ain, U Arab Emirates.
通讯机构：
[Peng, Y ] Y;Yangtze Univ, Jingzhou, Peoples R China.
摘要：
This study aims to enhance the efficacy of personalized learning paths by amalgamating transformer models, generative adversarial networks (GANs), and reinforcement learning techniques. To refine personalized learning trajectories, the authors integrated the transformer model for enhanced information assimilation and learning path planning. Through generative adversarial networks, the authors simulated the fusion and interaction of multi-modal information, refining the training of virtual teaching assistants. Lastly, reinforcement learning was employed to optimize the interaction strategies of these assistants, aligning them better with student needs. In the experimental phase, the authors benchmarked their approach against six state-of-the-art models to assess its effectiveness. The experimental outcomes highlight significant enhancements achieved by the authors' virtual teaching assistant compared to traditional methods. Precision improved to 95% and recall to 96%, and an F1 score exceeding 95% was attained.
期刊：
Nonlinear Analysis: Real World Applications,2024年77:104046 ISSN：1468-1218
通讯作者：
Wang, YT
作者机构：
[Ma, Xuan] Wuhan Text Univ, Res Ctr Nonlinear Sci, Sch Math & Phys Sci, Wuhan 430200, Peoples R China.;[Wang, Yating] Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;[Wang, Yating] Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan 430079, Peoples R China.
通讯机构：
[Wang, YT ] C;Cent China Normal Univ, Sch Math & Stat, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Hubei Key Lab Math Sci, Wuhan 430079, Peoples R China.
摘要：
The dynamics of a rarefied gas in a finite channel with the same temperatures and opposite velocities is a fundamental problem in kinetic theory. The relative motion of the planar boundaries can induce a non-equilibrium state which is referred to as the Couette flow. In this paper, we demonstrate that the unsteady Couette flow for the Boltzmann equation in 3D finite channel time asymptotically converges to the 1D steady state constructed in Duan et al. (2022), we also prove the exponential time decay rate as a byproduct. The validity of the analysis is established for all hard potentials.
摘要：
Calculating the thermal rate constants of elementary combustion reactions is of great importance in theoretical chemistry. Machine learning has become a powerful, data-driven method for predicting rate constants nowadays. Recently, the molecular similarity combined with the topological indices were proposed to represent the hydrogen abstraction reactions of alkane [J. Chem. Inf. Model. 2023, 63, 5097-5106], which are, however, not applicable to alkane cracking reactions, another important class of combustion reactions, due to the cleavage of the C-C bond. In this work, a new feature selection scheme is proposed to describe both bimolecular and unimolecular cracking reactions. Molecular descriptors are elaborately selected individually for both reactants and products from those generated by the open-source software RDKit. Machine learning models combined with these molecular descriptors are proven to have the ability to accurately predict rate constants of both the hydrogen abstraction reactions of alkanes by CH(3) and the alkane cracking reactions. The average deviation of the XGB-FNN model for prediction is around 60% for the hydrogen abstraction reactions of alkanes and 100% for the alkane cracking reactions. It is expected that the descriptors proposed in this work can be applied to build machine learning models for other reactions.
