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ObjectiveCerebral small vessel disease (CSVD) is a clinical syndrome caused by pathological changes in small vessels. Anxiety is a common symptom of CSVD. Previous studies have reported the association between inflammatory factors and anxiety in other diseases, but this association in patients with CSVD remains uncovered. Our study aimed to investigate whether serum inflammatory factors correlated with anxiety in patients with CSVD.MethodsA total of 245 CSVD patients confirmed using brain magnetic resonance imaging (MRI) were recruited from December 2019 to December 2021. Hamilton Anxiety Rating Scale (HAMA) was used to assess the anxiety symptoms of CSVD patients. Patients with HAMA scores ≥7 were considered to have anxiety symptoms. The serum levels of interleukin-1β (IL-1β), IL-2R, IL-6, IL-8, IL-10, tumor necrosis factor-α (TNF-α), serum amyloid A (SAA), C-reactive protein (CRP), high-sensitivity C-reactive protein (hs-CRP) and erythrocyte sedimentation rate (ESR) were detected. We compared levels of inflammatory factors between the anxiety and non-anxiety groups. Logistic regression analyses examined the correlation between inflammatory factors and anxiety symptoms. We further performed a gender subgroup analysis to investigate whether this association differed by gender.ResultsIn the fully adjusted multivariate logistic regression analysis model, we found that lower levels of IL-8 were linked to a higher risk of anxiety symptoms. Moreover, higher levels of SAA were linked to a lower risk of anxiety symptoms. Our study identified sex-specific effects, and the correlation between IL-8 and anxiety symptoms remained significant among males, while the correlation between SAA and anxiety symptoms remained significant among females.ConclusionsIn this study, we found a suggestive association between IL-8, SAA, and anxiety symptoms in CSVD participants. Furthermore, IL-8 and SAA may have a sex-specific relationship with anxiety symptoms.

Since the concept of pervious concrete pile (PCP) was put forward as a technology of ground improvement, some numerical simulations and small-scale tests have been performed to study the properties...

Exotic high-rank multipolar order parameters have been found to be unexpectedly active in more and more correlated materials in recent years. Such multipoles are usually dubbed as "Hidden Orders" since they are insensitive to common experimental probes. Theoretically, it is also difficult to predict multipolar orders via \textit{ab initio} calculations in real materials. Here, we present an efficient method to predict possible multipoles in materials based on linear response theory under random phase approximation. Using this method, we successfully predict two pure meta-stable magnetic octupolar states in monolayer $��$-\ce{RuCl3}, which is confirmed by self-consistent unrestricted Hartree-Fock calculations. We then demonstrate that these octupolar states can be stabilized in monolayer $��$-\ce{RuI3}, one of which becomes the octupolar ground state. Furthermore, we also predict a fingerprint of orthogonal magnetization pattern produced by the octupole moment, which can be easily detected by experiment. The method and the example presented in this work serve as a guidance for searching multipolar order parameters in other correlated materials., 15 pages,8 figures

According to requirement of closed-loop combustion control and combustion process character in diesel engine, cylinder pressure is used to analyze combustion condition character, pressure difference method is introduced into combustion pressure resolution, combustion intensity and combustion phase and releasing heat are presented to describe combustion condition, the whole combustion character is illustrated with multi-parameter in pressure difference curve, all kinds of parameter are briefly analyzed, combustion commence point, maximal burst pressure point and bar-center point in pressure difference curve is geometry character value, the relation between pressure character index and injection parameter and engine torque is analyzed by means of measurement data, its result indicated that pressure character index is mapping to injection fuel parameter and engine torque one by one, Nitric Oxide (NOx) feedback model with cylinder pressure parameter based on Radial Basis Function (RBF) neural networks is founder, its training time and prediction precision are analyzed, NOx feedback model result by RBF neural networks is compared with that of BP neural networks. Test result is shown that establishing feedback model can meet the requirement of diesel engine.

To meet the control demand of power system in hydraulic walking platform, digital PID structure and its shortcoming is briefly analyzed, the requirement of fast regulation and control precision control for power system is presented, control algorithm with neural network structure PID is provided, its mathematic principal and calculation flow scheme is listed, load response model for gasoline engine is foundered according to physical process, a whole control system of closed-loop control is built. Control algorithm and its effect of control system is verified in experimental bench, experimental results showed that neural network structure PID algorithm effect is steady and it can meet the controlling requirement in transient speed.

Calorimetry is a direct experimental method that can be used to study the thermodynamics of weak interactions between surfactant molecules, allowing the energetic parameters of such interactions to be obtained. In this work, a nano-isothermal titration calorimeter with a thermostat (TAM III) was used to evaluate the thermodynamic behavior of molecular self-assemblies of single and mixed surfactants in aqueous solution. Electrical calibration of this instrument showed that its precision is better than ±0.09%. The accuracy of the system was tested by measuring the reaction heat of tris-hydroxymethyl- aminomethane (Tris), employed often as a calorimetric standard substance, with hydrochloric acid. The resulting value ((-47.48±0.12) kJ·mol - 1 ) agreed well with that in the literature. We then determined the critical micelle concentration (cmc) and enthalpy of micellization for dodecyltrimethylammonium bromide

Scanning tunneling spectroscopy has been used to reveal signatures of a bosonic mode in the local quasiparticle density of states of superconducting FeSe films. The mode appears below Tc as a 'dip-hump' feature at energy \Omega ~ 4.7 kBTc beyond the superconducting gap \Delta. Spectra on strained regions of the FeSe films reveal simultaneous decreases in \Delta and \Omega. This contrasts with all previous reports on other high-Tc superconductors, where \Delta locally anti-correlates with \Omega. A local strong coupling model is found to reconcile the discrepancy well, and to provide a unified picture of the electron-boson coupling in unconventional superconductors., Comment: 5 pages, 4 figures

Hilbert-Huang Transform (HHT) is a kind of signal analysis method suitable for nonstationary signal, whose core algorithm is empirical mode decomposition (EMD). To improve the results and decomposition speed of EMD, this paper proposes a new method of obtaining mean curve for empirical mode decomposition(EMD), in which mean curve is obtained based on piecewise high order spline fitting. The method obtains more accurate mean points by using piecewise high order spline curve, but overcomes the disadvantage of too much computation in high order spline fitting. The mean curve is achieved by directly fitting mean points sequence, and the effect of overshoot and undershoot is reduced on the premise of guaranteeing the smoothness of the mean curve. The improved algorithm is used in processing acoustic vector signal, and data obtained from a certain sea experiment in Dalian is analyzed by improved HHT. The waterfall plot accurately shows the azimuth of target ship, which validates of the algorithm.

Ming dynasty bar-tile from the archaeological site of Heijing (Lufeng of Yunnan Province, China) was analyzed by Raman microscopy, X-ray diffraction and electron probe microscopy (EPMA). It was found that the major components of the tile are SiO2, besides moonstone(KAlSi3O8 var. of K-orthoclase), Na-orthoclase(NaAlSi3 O8 )and an unknown mineral (Al, Fe)3(PO4,VO4)2(OH)3.8H2O etc. The studies revealed that the agglomerant temperature of the bar-tile reached up to 1500 degrees C, indicating that the agglomerant technology of ceramics of Yunnan in the Ming dynasty (before 17 century) already attained a high level. Raman microscopyproves especially excellent in studing antiques. The results show that the facility and reliability of Raman spectroscopy, as anon-destructive unique technique, are suitable for the discrimination between moonstone and K-orthoclase within tile. No other technique tried was successful in its identification. This research demonstrates that only by combining several complementary techniques is possible to conduct comprehensive research on antiques.

Pattern time delay shift coding scheme uses the time delay shift values of the Pattern to code the information whose anti-ISI (intersymbol interference) ability is related to the kind and duration of the Pattern. Spread spectrum communications is competent for long-range underwater acoustic communications for its spread spectrum gain, but the low communications rate seriously restricts its application. The proposed new scheme is adapted to the underwater acoustic environment, which integrates the spread spectrum with Pattern time delay shift coding and works at M-ary mode spread spectrum and several communications channels. The scheme could achieve good performance of the spread spectrum and also improve the data transfer rate. The results of lake trial show that the M-ary chaotic spread spectrum Pattern time delay shift coding scheme is robust and feasible.

We investigate the electronic coupling between copper hexadecafluoro-phthalocyanine (F16CuPc) and epitaxial graphene (EG) on 6H-SiC (0001) using a combined approach of low-temperature scanning tunneling spectroscopy and electronic structure calculations. The molecules are preferentially adsorbed on monolayer EG than bilayer EG. Competing molecule-surface and intermolecular van der Waals interactions result in two well-ordered incommensurate phases. We show that the amount of charge transfer from EG to F16CuPc can be tuned by applied voltage or the thickness of graphene layers. A characteristic feature at similar to 0.4 eV above the Dirac point is identified in bilayer EG, which indicates its electronic structure is modified via introducing extra unoccupied states upon adsorption.