Bi₂Se₃ and Bi₂Te₃,which are topological insulators,show excellent thermoelectric properties.As a new class of topological Weyl semimetals,whether TaAs possesses excellent thermoelectric properties has attracted much attention.In this work,the effect of electron-phonon coupling on the electronic transport properties of TaAs was studied using first-principles calculations and Boltzmann transport theory.Compared with previous studies,when the electron-phonon coupling effect is considered,the maximum ZT value in TaAs at 900 K is found to be much lower with the value of merely 0.078.The results contribute to further understanding of the transport properties of Weyl semimetallic TaAs.

In this paper,we study the test problem of a class of variable coefficient models with panel data interaction effects.Based on the empirical likelihood method,the empirical likelihood ratio test statistic of the coefficient function is constructed.Under some regular conditions,the asymptotic theory of the statistic is established,and its asymptotic distribution is analyzed theoretically,including their consistency,convergence speed and asymptotic distribution.Based on this,the rejection region at a certain confidence level is constructed.Based on the regularization test method, the test statistics are obtained by optimizing the empirical likelihood ratio function of the constraints. The whole process is robust and efficient. The asymptotic theory of the empirical likelihood test of the interactive fixed effect variable coefficient model is studied, which provides some theoretical support and method guarantee for the statistical modeling of panel data.

In chaotic secure communication, the core challenge lies in achieving chaotic synchronization,and time-synchronized control is of great significance for the secure transmission of confidential data.A time-synchronized control method combined with predefined time sliding mode control is proposed for the synchronization problem of chaotic systems under noise disturbance.To achieve time-synchronized control of synchronization errors,a norm-normalized sign function is introduced in the control scheme.Based on the time synchronization strategy of predefined time sliding mode control,effective control inputs and sliding mode surfaces are designed,and the stability of the synchronization error system is verified by constructing the Lyapunov function,so as to realize the time-synchronized control of chaotic systems under noise disturbance.The numerical simulation results in Matlab demonstrate the feasibility and effectiveness of the proposed method.

Industrial pollution is an important factor affecting ecological protection and high-quality development in the Yellow River Basin.To assess the impact of environmental regulation on promoting green industrial development,56 prefecture-level cities in the basin were selected for study.Using panel data from 2011-2020,the Super-SBM model was employed to measure green industrial development.System GMM and threshold models were applied to explore the relationship between environmental regulation and industrial green development.The results indicate:Environmental regulation has an inverted U-shaped effect on green industrial development.Green finance positively moderates this relationship;the higher the green finance level,the stronger the impact of environmental regulation.The nonlinear effect of environmental regulation shows spatial heterogeneity.

Pectin is a natural food additive widely present in plant cell wall,and mango peel contains a large amount of pectin.In order to enhance the utilization of mango peel pectin resources,ultrasound-assisted chelating agent acid method was used to screen and optimize the extraction conditions of mango peel pectin.The effects of ethanol volume fraction,extraction time,ultrasonication time,liquid-to-material ratio,pH of the extraction solution and extraction temperature on the extraction rate were explored by a one-way test.On this basis,the extraction process conditions were optimized using Plackett-Burman and response surface tests with mango peel pectin extraction rate as the final evaluation index.The results showed that the optimal extraction process parameters for mango peel pectin were 85% ethanol volume fraction,100 min extraction time,20 min ultrasound time,16∶1(mL·g-1) liquid to material ratio,pH 2.0 of the extracting solution,and 80 ℃ extraction temperature,which resulted in a pectin extraction rate of 17.79% and a total galacturonic acid content of 73.63%.

The purpose of this paper is to solve the deficiency of single sweetener in taste,such as no-pure sweet taste,obvious aftertaste and bitter taste,etc.By means of single factor test and orthogonal test to stevioside Reb-A (rebaudioside A),erythritol,maltitol,L-glutamate and thaumatin with different mixing ratio optimization,a mixture sweetener with similar taste as sucrose,pure sweet taste nutrition and safety was prepared.The results showed that erythritol and maltitol could obviously modify the aftertaste and bitter taste of stevioside Reb-A and improve the taste quality.The sweet protein thaumatin increased the nutrition of the mixture,while L-glutamate could inhibit the excessive sweetness of stevioside Reb-A,improving the flavor.The optimal proportion and mass fraction of the mixed sweeteners was stevioside rebaudioside A 0.016%,erythritol 1.2%,maltitol 2.5%,thaumatin 0.003%,L-glutamate 0.2%.Compared with other mixture sweeteners in the market,the mixture sweeteners has the advantages of pure sweet taste,low calorie,similar taste as sucrose,nutrition security,etc,which could be used as a popular family-size mixture of sweeteners.

Animal robots refer to a novel class of robots that incorporate animals as the primary platform,complemented with information acquisition and sensing devices,and are capable of accomplishing specific tasks through human regulation.Owing to their exceptional flight and navigation capabilities,robust load-bearing adaptability,and unique homing characteristics,pigeons have emerged as an ideal animal in the field of flying animal robots,exhibiting significant research value and promising application prospects.This paper provides a comprehensive classification and summary of the relevant brain regions and neural regulatory mechanisms that control the primary motor behaviors of pigeon robots,and explores their potential implications in the design and application of pigeon robots.Furthermore,we review the technical advancements within the field of pigeon robots,including electrode implantation and outdoor flight communication technology.Additionally,we offer insights into the future trends of neural regulation and control systems,aiming to provide a reference for the theoretical research and practical enhancement of pigeon robots.

This study established an efficient,accurate,and sensitive detection method for sodium azide based on liquid chromatography.This study innovatively used a chromatography column system consisting of octadecylsilane bonded silica gel column and ion exchange chromatography column connected in series through a six way valve,combined with a dual pump infusion system of gradient pump and constant flow pump,to achieve efficient separation and accurate detection of sodium azide.In addition,this study also optimized key parameters such as detection wavelength,column temperature,and valve switching time,further improving the sensitivity and accuracy of the method.The results showed that this method had a good linear relationship (R=0.999 9) in the range of 0.397 8~1.989 μg/mL under the conditions of detection wavelength of 210 nm,column temperature of 60 ℃,and valve switching time of 4 minutes and 6 minutes.The recovery rate was 81.2%～96.6%,δ_RSD≤2.8%,and the detection limit of the method was 0.039 78 μg/mL.This method has the advantages of strong specificity,high sensitivity and accuracy,good repeatability,and low detection cost,providing a reliable technical means for the detection of sodium azide in moxifloxacin sodium.

HBase is a popular technology in the Hadoop ecosystem,which enables real-time and random reading and writing of large-scale datasets.Filter is an important feature in HBase which is used to filter results when retrieving data.In order to distinguish the usage and characteristics of HBase Shell and Java API in operating filters,and to facilitate the selection of appropriate ways to filter data in HBase.The article adopts an experimental research method,using stock information as sample data,and implements a comparative study of operating HBase filters using HBase Shell and Java API on a pseudo distributed cluster by designing a stock data table pattern,adding stock data,designing application requirements,and writing key code.Based on this,the advantages and differences of the two methods are summarized,providing useful references for further understanding the usage of HBase filters.

Hemorrhagic stroke is a disease with a high mortality rate,where hematoma expansion is a key factor affecting patient prognosis.Therefore,early identification and prediction of hematoma expansion are crucial for improving treatment outcomes and patient survival rates.This study aims to establish an effective model to predict hematoma expansion events in patients with hemorrhagic stroke,thereby achieving precise and personalized prognosis prediction.The research integrates the imaging characteristics of patients,using the occurrence of hematoma expansion events as the target variable,to propose an equation for accurately determining the patient's hematoma expansion status in the short term.Three methods,namely Logistic regression,support vector machines,and neural networks,are employed for modeling.The performance of these models is evaluated using leave-one-out cross-validation.Numerical experiments are conducted to simulate and validate the predictive performance of the models.The experimental results indicate that the neural network model performs best in predicting hematoma expansion events.It can effectively predict hematoma expansion events in hemorrhagic stroke patients,providing a powerful auxiliary tool for doctors to better optimize clinical treatment plans.