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.
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.
期刊：
JOURNAL OF NATURAL PRODUCTS,2024年 ISSN：0163-3864
通讯作者：
Ruan, HL
作者机构：
[Ruan, Han-Li; Xie, Zuo-Ye; Chang, Jin-Ling; Peng, Xiao-Gang; Ruan, HL; Gan, Yu-Tian; Zhou, Yin-Hui] Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Pharm, Hubei Key Lab Nat Med Chem & Resource Evaluat, Wuhan 430030, Peoples R China.;[Gan, Yu-Tian] Xiangyang Hosp Tradit Chinese Med, Xiangyang 441000, Peoples R China.;[Meng, Xianggao] Cent China Normal Univ, Coll Chem, Wuhan 430079, Peoples R China.;[Li, Shu-Ming] Philipps Univ Marburg, Fachbereich Pharm, Inst Pharmazeut Biol & Biotechnol, D-35037 Marburg, Germany.
通讯机构：
[Ruan, HL ] H;Huazhong Univ Sci & Technol, Tongji Med Coll, Sch Pharm, Hubei Key Lab Nat Med Chem & Resource Evaluat, Wuhan 430030, Peoples R China.
摘要：
Ten new (1-10) and nine known (11-19) austocystins, along with four known anthraquinones (20-23), were isolated from the culture of Aspergillus ustus NRRL 5856 by bioactivity-guided fractionation. The structures of the new compounds were elucidated by spectroscopic data analysis, X-ray crystallographic study, the modified Mosher's method, [Rh(2)(OCOCF3)(4)]-induced ECD spectral analysis, and comparison of the experimental ECD spectra with those of the similar analogues. Compounds 1-8 represent the first examples of austocystins with a C-4' oxygenated substitution. The absolute configuration of 1″-hydroxy austocystin D (11) was determined by single-crystal X-ray diffraction and consideration of its biosynthetic origin. Compounds 5, 9, and 11 exhibited significant inhibitory effects against the proliferation of ConA-induced T cells with IC(50) values of 1.1, 1.0, and 0.93 μM, respectively. Furthermore, these compounds suppressed the expression of IL-6 in a dose-dependent manner. Compounds 10-12 and 14 showed pronounced cytotoxicities against MCF-7 with IC(50) values of 3.9, 1.3, 0.46, and 2.3 μM, respectively.
作者：
Li, Jiayuan;Bai, Jie;Zhu, Sha;Yang, Harrison Hao
期刊：
Electronics,2024年13(2):385- ISSN：2079-9292
通讯作者：
Zhu, S;Yang, HH
作者机构：
[Zhu, Sha; Zhu, S; Bai, Jie; Li, Jiayuan] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;[Yang, HH; Yang, Harrison Hao] SUNY Coll Oswego, Sch Educ, Oswego, NY 13126 USA.
通讯机构：
[Yang, HH ] S;[Zhu, S ] C;Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan 430079, Peoples R China.;SUNY Coll Oswego, Sch Educ, Oswego, NY 13126 USA.
关键词：
digital literacy;digital game-based assessment;ECGD;AHP;assessment model
摘要：
This study measured secondary students' digital literacy using a digital game-based assessment system that was designed and developed based on the Evidence-Centered Game Design (ECGD) approach. A total of 188 secondary students constituted the valid cases in this study. Fine-grained behavioral data generated from students' gameplay processes were collected and recorded with the assessment system. The Delphi method was used to extract feature variables related to digital literacy from the process data, and the Analytic Hierarchy Process (AHP) method was used to construct the measurement model. The assessment results of the ECGD-based assessment had a high correlation with standardized test scores, which have been shown to be reliable and valid in prior large-scale assessment studies.
期刊：
IEEE ROBOTICS AND AUTOMATION LETTERS,2024年9(3):2646-2653 ISSN：2377-3766
通讯作者：
Lu, ZY
作者机构：
[Zhao, Zhou] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.;[Lu, Zhenyu; He, Wenhao] Univ West England, Fac Environm & Technol, Bristol BS16 1QY, England.;[Lu, Zhenyu; He, Wenhao] Univ West England, Bristol Robot Lab, Bristol BS16 1QY, England.
通讯机构：
[Lu, ZY ] U;Univ West England, Fac Environm & Technol, Bristol BS16 1QY, England.;Univ West England, Bristol Robot Lab, Bristol BS16 1QY, England.
关键词：
Grasping;Robots;Robot sensing systems;Tactile sensors;Deep learning;Exoskeletons;Sensors;deep learning in grasping and manipulation;learning from experience
摘要：
To minimize irrelevant and redundant information in tactile data and harness the dexterity of human hands. In this paper, we introduce a novel binary classification network with normalized differential convolution (NDConv) layers. Our method leverages the recent progress in visual-based tactile sensing to significantly improve the accuracy of grasp stability prediction. First, we collect a dataset from human demonstration by grasping 15 different daily objects. Then, we rethink pixel correlation and design a novel NDConv layer to fully utilize spatio-temporal information. Finally, the classification network not only achieves a real-time temporal sequence prediction but also obtains an average classification accuracy of 92.97%. The experimental results show that the network can hold a high classification accuracy even when facing unseen objects.
摘要：
Let
$$A\in M_2({\mathbb {Z}})$$
be an expanding integer matrix and
$$D=\{d_1={\textbf{0}},d_2,d_3\}\subset {\mathbb {Z}}^2$$
. It follows from Hutchinson (Indiana Univ Math J 30:713–747, 1981) that the generalized Sierpinski self-affine set
$${\textbf{T}}(A,D)$$
is the unique compact set determined by the pair (A,D) satisfing the set-valued equation
$$A{\textbf{T}}(A,D)=\bigcup _{i=1}^3({\textbf{T}}(A,D)+d_i)$$
. In this paper, we show that Fuglede’s conjecture holds on
$${\textbf{T}}(A,D)$$
, which states that
$${\textbf{T}}(A,D)$$
is a spectral set if and only if
$${\textbf{T}}(A,D)$$
is a translational tile. For the classical Sierpinski self-affine set
$${\textbf{T}}(A,D_{c})$$
with
$$D_{\text {c}}=\{(0,0)^t,(1,0)^t, (0,1)^t\}$$
, a finer characterization of tiling set is given. As an application, we find that the classical Sierpinski self-affine tile
$${\textbf{T}}(A,D_{\text {c}})$$
is suitable for Kolountzakis’ conjecture on product domain. This enriches the results that are now known.
关键词：
Key-frame extraction;Audiovisual interaction and fusion;Attention mechanism;Emotion recognition;Intra-modality interaction;Cross-modality interaction
摘要：
Purpose - Although numerous signal modalities are available for emotion recognition, audio and visual modalities are the most common and predominant forms for human beings to express their emotional states in daily communication. Therefore, how to achieve automatic and accurate audiovisual emotion recognition is significantly important for developing engaging and empathetic human-computer interaction environment. However, two major challenges exist in the field of audiovisual emotion recognition: (1) how to effectively capture representations of each single modality and eliminate redundant features and (2) how to efficiently integrate information from these two modalities to generate discriminative representations.Design/methodology/approach - A novel key-frame extraction-based attention fusion network (KE-AFN) is proposed for audiovisual emotion recognition. KE-AFN attempts to integrate key-frame extraction with multimodal interaction and fusion to enhance audiovisual representations and reduce redundant computation, filling the research gaps of existing approaches. Specifically, the local maximum-based content analysis is designed to extract key-frames from videos for the purpose of eliminating data redundancy. Two modules, including "Multi-head Attention-based Intra-modality Interaction Module" and "Multi-head Attention-based Cross-modality Interaction Module", are proposed to mine and capture intra- and cross-modality interactions for further reducing data redundancy and producing more powerful multimodal representations.Findings - Extensive experiments on two benchmark datasets (i.e. RAVDESS and CMU-MOSEI) demonstrate the effectiveness and rationality of KE-AFN. Specifically, (1) KE-AFN is superior to state-of-the-art baselines for audiovisual emotion recognition. (2) Exploring the supplementary and complementary information of different modalities can provide more emotional clues for better emotion recognition. (3) The proposed key-frame extraction strategy can enhance the performance by more than 2.79 per cent on accuracy. (4) Both exploring intra- and cross-modality interactions and employing attention-based audiovisual fusion can lead to better prediction performance.Originality/value - The proposed KE-AFN can support the development of engaging and empathetic human-computer interaction environment.
作者机构：
[Chen, Jingying; Wang, Zhun; Xu, Ruyi; Zhou, Longpu] Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan 430079, Hubei, Peoples R China.;[Zhou, Longpu] Ningbo Yuxing Educ Technol Co Ltd, Ningbo, Zhejiang, Peoples R China.
通讯机构：
[Chen, JY ] C;Cent China Normal Univ, Fac Artificial Intelligence Educ, Wuhan 430079, Hubei, Peoples R China.
关键词：
Facial expression intensity estimation;Ordinal regression;Label distribution learning;Semi-supervised
摘要：
Facial expression intensity estimation has promising applications in health care and affective computing, such as monitoring patients’ pain feelings. However, labeling facial expression intensity is a specialized and time-consuming task. Ordinal regression (OR)-based methods address this issue to some extent by estimating the relative intensity but failing to estimate the absolute intensity due to lack of exploring useful information from noisy labels caused by manual and automatic labeling biases. Inspired by label distribution learning (LDL) to resist the noisy labels, this paper introduces the label-distribution-learning-enhanced OR (LDL-EOR) approach for facial expression intensity estimation. This design aims to utilize LDL to improve the accuracy of absolute intensity estimation while keeping the cost of manual labeling low. The label distribution is converted into a continuous intensity value by calculating the mathematical expectation, which makes the prediction results meet both relative and absolute intensity constraints. Ensuring the feasibility of LDL-EOR in different supervised settings, this paper presents a unified label distribution generation framework to automatically relabel training data frame by frame. The generated soft labels are used to supervise the LDL-EOR model and enhance its robustness to the noise existing in the original labels. Numerous experiments were conducted on three public expression datasets (CK+, BU-4DFE, and PAIN) to validate the superiority of LDL-EOR relative to other state-of-the-art approaches.
摘要：
The intervention of nectar robbers in plant pollination systems will cause some pollinators to modify their foraging behavior to act as secondary robbers, consequently adopting a mixed foraging strategy. The influence of nectar robbing on pollinator behavior may be affected by spatio-temporal difference of robbing intensity, and consequently, may have different effects on the pollination of host plants. However, whether and how the nectar robbing might influence pollinators under different robbing intensity still needs further investigation. In this study, Symphytum officinale was used to detect the effect of nectar robbers on pollinators under different robbing intensity as well as their effects on plant reproductive success. Six robbing levels and three bumblebees with mixed foraging behaviors were used to evaluate the effect of different robbing intensity on pollinator behavior, visitation rate, flower longevity and pollen deposition. Our results indicated that the robbing rate increased gradually with the proportion of robbed flowers, but which did not affect the frequency of legitimate visits. The increase of robbing rate promoted the corolla abscission, and then enhanced the self-pollen deposition, but which had no significant effect on cross-pollen deposition. These results indicate that the overall fitness of S. officinale was improved by combined self and cross-pollination modes when visited by both pollinators and nectar robbers simultaneously. Although nectar robbing is not uncommon, its consequences for pollination in the interaction web have not been well studied. Our results emphasize the significance of indirect impacts in mediating the adaptive outcomes of species interactions.
期刊：
Journal of Mathematical Analysis and Applications,2024年529(1):127609 ISSN：0022-247X
通讯作者：
Yang, YQ
作者机构：
[Zhang, Yan-fang] Huzhou Univ, Sch Sci, Huzhou 313000, Peoples R China.;[Yang, Yong-qiang] Cent China Normal Univ, Dept Math & Stat, Wuhan 430079, Peoples R China.
通讯机构：
[Yang, YQ ] C;Cent China Normal Univ, Dept Math & Stat, Wuhan 430079, Peoples R China.
关键词：
Self-affine sponge;Maximal power law;Component-counting measure
摘要：
Let (E, ) be a metric space and let hE (5) be the cardinality of the set of 5-connected components of E. In literature, in case of that E is a self-conformal set satisfying the open set condition or E is a self-affine Sierpinski sponge, necessary and sufficient condition is given for the validity of the relation hE(5) x 5- dimB E, when 5 & RARR; 0. In this paper, we generalize the above result to self-affine sponges of LalleyGatzouras type; actually in this case, we show that there exists a Bernoulli measure & mu; such that for any cylinder W, it holds that hW (5) x & mu;(W )5- dimB E, when 5 & RARR; 0.& COPY; 2023 Elsevier Inc. All rights reserved.
作者机构：
[Chang, CH; Ho, Chia-An; Chang, Chun-Hao; Yeh, Hung-Chih; Chen, Chao-Yuan; Ho, Chin-Shan] Natl Taiwan Sport Univ, Grad Inst Sports Sci, Taoyuan City, Taiwan.;[Li, Fang] Cent China Normal Univ, Sch Phys Educ, Wuhan, Hubei, Peoples R China.;[Chen, Chao-Yuan] Natl Taipei Univ Business, Sport Off, Taipei City, Taiwan.
通讯机构：
[Chang, CH ] N;Natl Taiwan Sport Univ, Grad Inst Sports Sci, Taoyuan City, Taiwan.
关键词：
Mechanical property;Myometer;Rowing;Symmetry index
摘要：
BACKGROUND: The mechanical properties of muscles, such as changes in muscle tone and stiffness, are related to sports performance and injuries. Rowers are at increased risk of muscle fatigue and injury during high-repetition and heavy-load cyclic muscle actions. In view of this, the aim of the present study was to investigate the acute effect on muscle tone and stiffness, as well as bilateral muscle asymmetry, in high school rowers after a 2000-meter rowing ergometer test. METHODS: Twelve young male rowers (age = 17.1 ± 0.9 years, body weight = 73.5 ± 9.7 kg) were included in the study. The data of muscle tone (frequency) and stiffness of the posterior deltoids (PD), latissimus dorsi (LD), and rectus femoris (RF) (dominant and non-dominant side) before and after a 2000-m rowing ergometer test were collected using a handheld MyotonPRO device. RESULTS: After the rowing ergometer test, the muscle tone of dominant side PD, LD, and RF were significantly increased (p < 0.05). On the other hand, the muscle stiffness of the non-dominant side LD and RF, as well as the dominant side PD, LD, and RF were significantly increased after the rowing ergometer test (p < 0.05). The muscle tone and stiffness results showed that the dominant side PD, LD, and RF were all significantly higher than the non-dominant side after the rowing ergometer test (p < 0.05), where bilateral PD and RF exhibits moderate asymmetry (5% < symmetry index < 10%). CONCLUSIONS: After a high-intensity and high-load 2000-m rowing ergometer test, PD, LD, and RF showed increases in muscle tone and stiffness, as well as changes in the symmetry of bilateral muscle mechanical properties.
关键词：
Energy splitting of STAR-RIS;time switching of STAR-RIS;UAV-enabled outdoor-to-indoor WPCN;indoor NFZ
摘要：
This letter investigates a Simultaneously Transmitting and Reflecting Reconfigurable Intelligent Surface (STAR-RIS)-assisted unmanned aerial vehicle (UAV)-enabled outdoor-to-indoor (O2I) wireless powered communication network (WPCN), in which the UAV avoids flying over the indoor no-fly zone (NFZ). In the downlink energy transfer (DET) stage, the energy-constrained STAR-RIS and the O2I Internet of Things (IoT) devices harvest energy from the radio frequency (RF) signals of the UAV to self-sustain its operation. In the uplink information transmission (UIT) stage, the IoT devices transmit information to the UAV using the harvested energy, assisted by the STAR-RIS. We introduce the STAR-RIS energy splitting (ES) and time switching (TS) operating protocols in the DET and UIT stages, respectively, to maximize the harvested downlink energy and the achievable uplink sum-rate. Further, an alternating optimization (AO) algorithm based on the penalty method and successive convex approximation (SCA) technology is proposed to solve the resulting highly-coupled non-convex optimization problems, in which the UAV trajectory based on the UAV power consumption model, resource allocation of the O2I IoT devices, and beamforming vectors of the STAR-RIS are jointly optimized. Finally, numerical results demonstrate that our proposed scheme can achieve significant system sum-rate gains that are better than other baseline schemes.
作者机构：
[Sheng, Xin-Li; Sheng, XL] INFN Firenze, Via Giovanni Sansone 1, I-50019 Sesto Fiorentino, FI, Italy.;[Sheng, Xin-Li] Cent China Normal Univ, Key Lab Quark & Lepton Phys, MOE, Wuhan 430079, Peoples R China.;Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.;[Oliva, Lucia] Univ Catania, Dept Phys & Astron Ettore Majorana, Via S Sofia 64, I-95123 Catania, Italy.;[Oliva, Lucia] INFN, Sez Catania, Via S Sofia 64, I-95123 Catania, Italy.
通讯机构：
[Sheng, XL ] I;INFN Firenze, Via Giovanni Sansone 1, I-50019 Sesto Fiorentino, FI, Italy.
摘要：
We propose a relativistic theory for spin density matrices of vector mesons based on Kadanoff-Baym equations in the closed-time-path formalism. The theory puts the calculation of spin observables such as the spin density matrix element rho 00 for vector mesons on a solid ground. Within the theory we formulate rho 00 for phi mesons into a factorization form in separation of momentum and spacetime variables. We argue that the main contribution to rho 00 at lower energies should be from the phi fields that can polarize the strange quark and antiquark in the same way as electromagnetic fields. The key observation is that there is correlation inside the phi meson wave function between the phi field that polarizes the strange quark and that polarizes the strange antiquark. This is reflected by the fact that the contributions to rho 00 are all in squares of fields that are nonvanishing even if the fields may strongly fluctuate in spacetime. The fluctuation of strong force fields can be extracted from rho 00 of unflavored vector mesons as links to fundamental properties of quantum chromodynamics.
摘要：
Interictal epileptiform discharges (IED) as large intermittent electrophysiological events are associated with various severe brain disorders. Automated IED detection has long been a challenging task, and mainstream methods largely focus on singling out IEDs from backgrounds from the perspective of waveform, leaving normal sharp transients/artifacts with similar waveforms almost unattended. An open issue still remains to accurately detect IED events that directly reflect the abnormalities in brain electrophysiological activities, minimizing the interference from irrelevant sharp transients with similar waveforms only. This study then proposes a dual-view learning framework (namely V2IED) to detect IED events from multi-channel EEG via aggregating features from the two phases: (1) Morphological Feature Learning: directly treating the EEG as a sequence with multiple channels, a 1D-CNN (Convolutional Neural Network) is applied to explicitly learning the deep morphological features; and (2) Spatial Feature Learning: viewing the EEG as a 3D tensor embedding channel topology, a CNN captures the spatial features at each sampling point followed by an LSTM (Long Short-Term Memories) to learn the evolution of these features. Experimental results from a public EEG dataset against the state-of-the-art counterparts indicate that: (1) compared with the existing optimal models, V2IED achieves a larger area under the receiver operating characteristic (ROC) curve in detecting IEDs from normal sharp transients with a 5.25% improvement in accuracy; (2) the introduction of spatial features improves performance by 2.4% in accuracy; and (3) V2IED also performs excellently in distinguishing IEDs from background signals especially benign variants.
摘要：
The neural ordinary differential equation (NODE) has attracted much attention for its applicability in dynamic system modeling and continuous time series analysis. When the sample size is limited, models often exhibit weak generalizability and robustness and are susceptible to overfitting. To address this, a novel multivariate grey neural differential equation model is proposed based on the grey model and NODE. The new model leverages the small -sample modeling capabilities of grey systems to enhance the overall generalizability. When the neural network structure changes, the proposed model can degenerate into other grey models, enhancing inclusiveness and adaptability. Two energy forecasting cases show that the new model achieves average MAPE values of 0.82% and 1.13% on the test sets. These values are significantly better than those of the other 10 benchmark models. Furthermore, the proposed model exhibits superior performance in terms of the MAE, RMSE, STD, and APE metrics compared to those of all contrastive models. This study demonstrates that the new model effectively enhances its predictive capabilities on limited nonlinear data, showcasing higher prediction accuracy, stronger adaptability, and better stability.
