This research examines the impact of economic policy uncertainty (EPU) on green innovation by using panel fixed effects model from 2000 to 2017 for samples 31 provinces in China. The general conclusion is that there exists a positive link EPU innovation, and varies significantly among different have diverse levels marketization trade openness. Specifically, with higher degrees openness witnessed stronger whereas correlation rather weak regions low those two factors. Our findings serve as...

It is crucial for the advancement of political economics and innovation to examine relationship between income inequality green (GI). Using panel fixed effect model, this study investigates influence on GI across 97 countries from 1991 2018 demonstrates a significant non-linear association two. The empirical data exhibit an inverted U-shape relationship, suggesting that there optimal degree optimizes output, inflection point our overall sample at Gini coefficient 0.366. Additionally, we...

Abstract Environmental, social, and governance (ESG) performance has increasingly become the most pressing concern for governments, social organizations, companies, other stakeholders. Understanding macro ESG behavior can assist governments in achieving their sustainable development goals (SDGs). In this paper, we investigate whether index of OPEC non‐OPEC oil‐producing countries over period 1990–2020 exhibits mean‐reversion external shocks are transient or permanent. By conducting a series...

This research reviews the global development status of gender equality and green development, analyzes impact on its influencing mechanism. In addition, this also explores digital technology relationship. We found that have made significant progress globally since 20th century, but they still face difficulties challenges. a positive through three potential mechanisms. Moreover, has to contribute impact. Based these findings, we propose relevant policy recommendations improve development.

Under the premise of detrimental effects carbon emission on global climate, role governments in promoting clean energy investment has become more important, and monetary policy as one government tool drawn greater attention among public. Our research successfully develops a new model that links investments with policies emissions 9 Asian economies spanning period from 1996 to 2018. First, results cointegration tests, we find long-term relationship variables. Second, using FMOLS estimators,...

In order to analyze the motion of human lower limb, a comprehensive process was created in this paper. Firstly, an exoskeleton robot platform leveraged and dynamic model human-exoskeleton limb for identifying parameters. Then sEMG signal utilized extract information about muscle activity through multi-group experiments, backpropagation neural network (BPNN) built forecast joint torque. An inverse dynamics analysis combining data with can not only verify reliability prediction result by BPNN...

In order to solve the problems of difficulties in feature extraction and low recognition accuracy for rolling bearing fault signals, a diagnosis method based on Subtraction-Average-Based Optimize (SABO) optimizing Variational Mode Decomposition (VMD) parameters using Kernel Limit Learning Machine (KELM) classification is proposed. Firstly, mathematical behavior subtractive average search strategy adopted minimum envelope entropy as fitness value adaptively optimize variational modal...

Circulating free messenger RNAs (cfmRNAs) in serum have emerged as potential noninvasive biomarkers for cancer diagnosis, including gastric (GC). This study utilized RNA‐sequencing data from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases to identify a training set of 100 differentially expressed genes (DEGs) specific GC patients. Employing support vector machine (SVM) classification, we narrowed down the candidate gene 23, which was further refined 4 genes—DMBX1,...

This paper studies a correlation between financialization and mergers acquisitions (M&As). Using firms-level panel data of Chinese manufacturing listed firms over the period from 2013 to 2018, we find that has statistically significant reducing effect on number M&A deals. In addition, in non-stated-owned enterprises negative impact deals is more than state-owned (SOEs). Lastly, regression models independent variables are changed demonstrate robustness conclusions.

Abstract Wheel profile wear, or bogie suspension failure will result in hunting instability of the vehicle system which lead to dramatic changes lateral motion wheelset. The occurrence worsen ride performance even cause danger wheelset derailment. Thus, in-time and effective detection is very important for stability evaluation. By installing a certain amount displacement sensors on rail side along track detecting distance between wheel when passing by, displacements measuring points can be...

With the increase in elderly population China and growing number of individuals who are unable to walk normally, research on lower limb exoskeletons is becoming increasingly important. This study proposes a complete dynamic model parameter identification scheme for human–machine coupling exoskeletons. Firstly, based model, excitation trajectory optimized, data collection experiments conducted, vector system identified using least squares method. Secondly, this lays foundation designing...

In this paper, we study the variable-order generalized time fractional Oldroyd-B fluid model, use reduced order method and L2-1? to establish differential format with second-order accuracy, prove stability convergence of format, give numerical examples illustrate effectiveness format.

According to the overall asset status, profitability and economic environment, enterprise value evaluation is a comprehensive assessment of fair market enterprise. Different enterprises have different nature targets, suitable method should be chosen for characteristics. The traditional methods can summarized as three basic types: cost methods, marketing revenue method. from enterprise, internet defined knowledge-intensive whose has very typical light structure. A new raised enterprises. In...