Abstract The high activity of water in aqueous electrolyte causes drastic side reactions on the Zn anodes, severely limiting electrochemical performance zinc metal batteries (AZMBs) under extreme conditions. Herein, levulinic acid is developed as hydrated deep eutectic solvent (DES), to build a novel non‐flammable and cost‐effective ZnSO 4 ‐based with triple regulation molecules behavior, enabling highly stable AZMBs over wide temperature. In situ experiments, molecular dynamics simulations,...

Abstract The electrode interface concentration polarization attributed to the contradiction between sluggish mass transfer process and rapid electrochemical reduction kinetics significantly restricts practical application of Zn anode. Creating a moderate ions chemistry is essential for durable zinc‐ion batteries. In this work, trade‐off effect realized by selecting large‐size 4‐Aminomethyl cyclohexanecarboxylic acid (AMCA) molecule as electrolyte additive. Intriguingly, AMCA molecules...

Using data from the Qingsike Private Equity Database, in this paper, we systematically examine how government policy-guiding funds impacted regional economic development China 2010 to 2021. An empirical analysis confirms that government-guided have a significant positive effect on growth, particularly less affluent areas. Additionally, found level of venture capital marketization and industrial structural upgrading mediate relationship between growth. These findings suggest foster...

Lean Six Sigma (LSS) has become a prominent methodology for improving efficiency and quality across various industries, including the service sector. However, its philosophical foundations are often overlooked, with many organizations focusing solely on practical tools. This study aims to bridge that gap by integrating LSS tools into organizational learning (OL) processes, enhancing understanding application. The research examines relationship between key tools—such as Leadership,...

China’s corporate venture capital (CVC) overseas investment began in the late 20th century and has expanded significantly over years. By 2021, more than 265 Chinese institutions companies had engaged cross-border investments, contributing USD 100 billion. These investments present a unique opportunity to examine reverse technology spillover effect on technological development. Using Difference-in-Differences model regression analysis, we investigate whether CVC drive progress. Our findings...

In this paper, we use a matched sample to empirically test the effect of venture capital investment on companies listed Small and Medium-Sized Enterprises Board in China. We find that Chinese capitalists neither add value their invested firms initial public offering (IPO) process nor improve operating performance. Rather, compared with non-venture-backed counterparts, venture-backed are associated greater level IPO underpricing inferior performance both before after IPO. Our findings China...

Purpose The importance of innovation to the performance firms has led numerous studies conducted identify critical successful factors in new product development (NPD). However, most these were within context developed economies or for large enterprises; relatively little is known about how firms, especially small and medium‐size enterprises (SMEs), develop products many emerging markets. This paper tries bridge gap by examining key success NPD Chinese SMEs. Different from traditional...

This paper firstly analyses the actual underwriting methods of Chinese life insurance companies, and points out merits shortcomings these methods. Then incomplete database company is mined by data mining's association rule algorithm. Thirdly support vector machine (SVM) applied to process classify applicants. Finally directions for improving this algorithm are pointed out. The proposed in has promising future process.

Cross-border venture capital (CBVC) research is becoming increasingly important due to globalisation and its role as a key economic driver of development. As result, the interest in domain has been steadily growing recent years attracted much attention from top scholars worldwide. Our provides comprehensive overview body academic regarding cross-border capital. Based on thorough screening selection process literature an in-depth analysis, we review, summarise, compare, evaluate wide array...

In this paper, we empirically examine the impact of venture capital investment on dividend policy invested companies using a sample list from China’s ChiNext market during period 2014 to 2019. Our empirical results show that different types VC investments have impacts policies companies. To be specific, found independent (IVCs) promote company’s payment and increase level payments while corporate (CVC) inhibits payment. The joint participation multiple (syndication) also increases...

With a wide range of road construction worldwide, the focus engineering has shifted to maintenance and management.This paper presents research aimed at developing lean management framework that integrates BIM deep learning technology guide production applications in management.Firstly, pavement distress dataset is established based on obtained point cloud data.Secondly, learning-based 3D object detection network applied for automatically detect improve accuracy reliability detection.After...

ABSTRACT In this paper, we investigate the impact of cross-network-community movement on venture capital investment performance in China. We mainly focus two research questions: (1) what is relationship between agglomeration network communities and companies’ performance? Specifically, tested our hypothesize that whether information redundancy caused by excessive inhibits performance; 2) order to obtain new resources, companies commonly do cross-community movements, are trying find out...

Data imbalance is a common challenge for many classification tasks where the dataset suffers from disproportionate partitions of samples between classes. Typical techniques handling class are either based on algorithmic or data-driven strategies. The strategies reduce model bias towards majority classes by modifying algorithms, and revise datasets in terms resampling. current implementations datadriven strategy often ignore correlations instances but assign uniform sampled to all queries...

Abstract Representation‐based classification (RC) is an effective gauge of data similarity between a single instance and the whole dataset, which extends traditional individual‐wise distance metrics using representation coefficients. These coefficients show remarkable discrimination nature via various regularisation terms, but interference from potentially uncorrelated objects involved in this single‐to‐global relation can degrade effectiveness In order to filter out those unproductive, or...

In the context of Chinese market, foreign cross-border venture capitalists have devised specific strategies to mitigate challenges associated with liabilities foreignness, such as risks and information asymmetry. They strategically leveraged social capital not only decrease investment risk but also influence their preferences behaviors. To investigate different types on decisions capitalists, hypotheses are proposed tested using regression analysis. Our research reveals several key findings...

In this paper, we investigate whether the VC institutions’ position in network affects their investment strategies and performance. Our results show that location has a negative correlation with geographic concentration index, industry stage which indicates higher of cross-border institutions, degree geographical diversification, wider diversification investments. addition, our relationship between VC’s performance is not simply linear but rather an inverted U-shaped correlation. When lower...

Lean Six Sigma (LSS) has become a prominent methodology for improving efficiency and quality across various industries, including the service sector. However, its philosophical foundations are often overlooked, with many organizations focusing solely on practical tools. This study aims to bridge that gap by integrating LSS tools into organizational learning (OL) processes, enhancing understanding application. The research examines relationship between key tools—such as Leadership,...