Study of the Highly-skilled Talent Training Mode for Business English Major Rural Students:A Case Study of Higher Vocational Colleges in Anhui Province

This paper makes an in-depth study of the reasons for employment problems of Business English major rural students in Anhui Province,and sets forth the appropriate highly-skilled Business English talent training mode and the corresponding recommendations.

Effects of OFDI on Employment and Skill Upgrading in Its Home Economy

This research empirically examines the relationship between outward foreign direct investment （OFDI） and employment in its home economy. It is marked out from existing studies in the following three respects. First, instead of advanced economies, it focuses on the effect on employment in a newly industrialized economy. Second, it not only addresses the general issue of whether employment or production overseas complements or substitutes for employment in parent companies but also examines how OFDI contributes to skill upgrading in its origin economy, in addition to the quantitative effect. Third, this paper allows the results to vary between labour-intensive industries and technology-intensive industries in order to find the extent to which the home employment effect is moderated by industrial technology intensity. The results demonstrate that the location of investment and industry characteristics matter for explaining the effect of OFDI on home employment. Specifically, we find that while OFDI by Taiwan＇s multinationals in the Chinese mainland depresses employment in Taiwan in both labour- and technology-intensive industries, OFDI in other economies only produces a negative employment effect in technology-intensive sectors. An interesting finding of this study is the evidence of positive effects of OFDI on skill upgrading in Taiwan. This paper supports the argument that relocation of productivity overseas axes low-skilled workers at home. Moreover, OFDI in the Chinese mainland has a particular positive impact on skill upgrading in the home industry, lending support to the view that multinational enterprises （MNEs） outsource labour-intensive goods from their affiliates in low-income economies.

Impairment of gastrointestinal quality of life in severely obese patients

AIM: To investigate the common gastro-intestinal symptoms and quality of life in severely obese subjects.

The effects of managerial ability on firm performance and the mediating role of capital structure:evidence from Taiwan

This study utilizes mediation analysis and bootstrapping to analyze the mediating effect of capital structure on the association between managerial ability and firm performance.The dataset consists of 6384 firm-year observations from the Taiwan Residents electronics industry during 2005–2018.Our results indicate that(1)low(high)levels of debt are likely observed in firms with CEOs with high(low)ability,(2)managerial ability positively affects firm performance,and(3)capital structure mediates the positive relationship between managerial ability and firm performance.Overall,the findings may have limited generalizability due to the specific sample characteristics and provide convincing support for the importance of capital structure as a mediator in the managerial ability-firm performance nexus.Specifically,this study highlights the need for examining the effect of managerial ability on firm performance through a mediator.

Scheduling Optimization Modelling:A Case Study of a Woven Label Manufacturing Company

Production scheduling involves all activities of building production schedules,including coordinating and assigning activities to each person,group of people,or machine and arranging work orders in each workplace.Production scheduling must solve all problems such as minimizing customer wait time,storage costs,and production time;and effectively using the enterprise’s human resources.This paper studies the application of flexible job shop modelling on scheduling a woven labelling process.The labelling process includes several steps which are handled in different work-stations.Each workstation is also comprised of several identical parallel machines.In this study,job splitting is allowed so that the power of work stations can be utilized better.The final objective is to minimize the total completion time of all jobs.The results show a significant improvement since the new planning may save more than 60%of lead time compared to the current schedule.The contribution of this research is to propose a flexible job shop model for scheduling a woven labelling process.The proposed approach can also be applied to support complex production scheduling processes under fuzzy environments in different industries.A practical case study demonstrates the effectiveness of the proposed model.

“Admiration of Flowers in Poems”-On Image Rendering of Flowers in Tang Poems Under the Guidance of Green Translation

The progress of economy and social development is the driving force of translation research and practice.With the deepening of global development and cooperation,global ecology and green concept has become a topic of concern and is capturing increasing worldwide attention.Under this circumstances,green development has become the key to building global ecological civilization.“Strengthening ecological consciousness and green consciousness,shouldering ecological responsibility”has also become the main theme of the times.In response to this green trend,Green Translation lays stress on the green concept,green behaviour,and the green value in translation practice.The flower images,which take up a large proportion of plant images in Tang poetry,are of high ecological value and significance.This paper takes the Translation of 300 Tang Poems as the research subject,conducts a study on the image rendering of flowers in Tang poetry from the three aspects of Green Translation:language ecology,cultural ecology and communicative ecology.

Precision grounding augments the therapeutic benefits of simultaneous topical essential oil application

Grounding or earthing involves making physical contact with the Earth's surface by walking barefoot on natural surfaces or using grounding devices that simulate direct contact with the Earth.Precision Grounding is believed to balance the electrical charge in the human body and has potential physical and psychological benefits,including reduced inflammation,improved sleep quality,and decreased anxiety and depression symptoms.Combining earthing therapy with essential oils is gaining popularity as a natural and effective therapeutic technique.Essential oils contain antioxidants and anti-inflammatory chemicals that complement the benefits of earthing therapy.This study aims to highlight a novel method for reducing inflammation by combining essential oils with precision grounding and to emphasize the significance of the duration and intensity of grounding on inflammation and injury.The findings indicate that essential oils combined with precision grounding can reduce pain and alter the levels of neutrophils,lymphocytes,and inflammation-related chemicals in circulation.The review underscores the potential of earthing with essential oils as a simple and widely available clinical intervention with potentially significant therapeutic implications.Precision Grounding therapy is safe and theoretically beneficial for most people,but medical advice should be sought before beginning any new wellness practice.

Talent Value Creation during Digital Transformation:A Inductive Model of HR Reengineering

In this study,we are to explore(1)features of HR reengineering,(2)the impact of business digitalization strategies on digital transformation and HR engineering,(3)the impact of business digitalization strategies and HR reengineering on talent value creation,and present the results of a qualitative study that offers insight into 42“thought units”,which were“categorizing”into four dimensions corresponding to our research questions:(1)plan,(2)do,(3)check,and(4)action.The“check”dimension corresponds to the four key features of HR reengineering related to business digitalization strategy,and how to create talent value when a company successfully implements business-led digital transformation,HR reengineering,and talent value creation,including(1)talent planning,(2)talent introduction,(3)talent adjustment,and(4)talent development.

Can investors profit by utilizing technical trading strategies?Evidence from the Korean and Chinese stock markets

The idea of this study is derived from observing the profitability of stock investments following the phenomena of continuously rising(or falling)prices of stocks and continuously overbought(or oversold)signals emitted by technical indicators.We employ the standard event study approach and technical trading strategies to explore whether investors would exploit profits in trading the constituent stocks of the Korea Composite Stock Price Index 50 and Shanghai Stock Exchange 50 when the aforementioned continuous phenomena occur.We find that both the Korean and Chinese stock markets are not fully efficient;this finding may enhance the robustness of the existing literature.In addition,we reveal that contrarian strategies are appropriate for the trading stocks listed on the Korean stock market for all the cases investigated in this study.However,momentum strategies are appropriate for the Chinese stock market when continuously rising stock prices and overbought signals are simultaneously observed.These findings imply that the difference in investor behaviors between the Korean and Chinese stock markets might result in dissimilar trading strategies being employed for these two markets.

Evaluating the resource management and profitability efficiencies of US commercial banks from a dynamic network perspective

The central concept of strategic benchmarking is resource management efficiency,which ultimately results in profitability.However,little is known about performance measurement from resource-based perspectives.This study uses the data envelopment analysis(DEA)model with a dynamic network structure to measure the resource management and profitability efficiencies of 287 US commercial banks from 2010 to 2020.Furthermore,we provide frontier projections and incorporate five variables,namely capital adequacy,asset quality,management quality,earning ability,and liquidity(i.e.,the CAMEL ratings).The results revealed that the room for improvement in bank performance is 55.4%.In addition,we found that the CAMEL ratings of efficient banks are generally higher than those of inefficient banks,and management quality,earnings quality,and liquidity ratios positively contribute to bank performance.Moreover,big banks are generally more efficient than small banks.Overall,this study continues the current heated debate on performance measurement in the banking industry,with a particular focus on the DEA application to answer the fundamental question of why resource management efficiency reflects benchmark firms and provides insights into how efficient management of CAMEL ratings would help in improving their performance.

国际双重交易股票的多变量协整分析

本文研究在香港联合交易所和伦敦股票交易所双重交易的股票之间是否存在长期的均衡关系。单位根检验结果表明，每一个股价序列在水平值上是非平稳序列，但经过一次差分后为平稳序列。我们用lohansen检验方法和Engle—Granger检验方法，对香港股票交易所和伦敦股票交易所的股价进行了协整检验。协整分析表明，在香港股票交易所和伦敦股票交易所双重交易的股票，其两地价格具有协整性。误差修正模型的结果表明，对于部分公司，香港股票交易所的股价显然进行了长期均衡的调整，而对于部分其它公司，伦敦股票交易所的股价进行了长期均衡的调整。在两个市场的股价之间存在一定程度的反馈。这些结果显示国内市场并没有起到主导市场的作用，国外市场也并非附属市场。

Exploring the growth value equity valuation model with data visualization

The Growth Value Model(GVM)proposed theoretical closed form formulas consist-ing of Return on Equity(ROE)and the Price-to-Book value ratio(P/B)for fair stock prices and expected rates of return.Although regression analysis can be employed to verify these theoretical closed form formulas,they cannot be explored by classical quintile or decile sorting approaches with intuition due to the essence of multi-factors and dynamical processes.This article uses visualization techniques to help intuitively explore GVM.The discerning findings and contributions of this paper is that we put forward the concept of the smart frontier,which can be regarded as the reasonable lower limit of P/B at a specific ROE by exploring fair P/B with ROE-P/B 2D dynamical process visualization.The coefficients in the formula can be determined by the quantile regression analysis with market data.The moving paths of the ROE and P/B in the cur-rent quarter and the subsequent quarters show that the portfolios at the lower right of the curve approaches this curve and stagnates here after the portfolios are formed.Furthermore,exploring expected rates of return with ROE-P/B-Return 3D dynamical process visualization,the results show that the data outside of the lower right edge of the“smart frontier”has positive quarterly return rates not only in the t+1 quarter but also in the t+2 quarter.The farther away the data in the t quarter is from the“smart frontier”,the larger the return rates in the t+1 and t+2 quarter.

Improving Supply Chain Performance Through Supplier Selection and Order Allocation Problem

Suppliers play the vital role of ensuring the continuous supply of goods to themarket for businesses.If businesses do not maintain a strong bond with their suppliers,they may not be able to secure a steady supply of goods and products for their customers.As a result of failure to deliver products,the production and business activities of the business can be delayed which leads to the loss of customers.Normally,each trading enterprise will have a variety of commodity supply chains withmultiple suppliers.Suppliers play an important role and contribute to the value of the entire supply chain.Should any supplier encounters a problem,the whole supply chain of businesses will be affected and could lead to not guaranteeing the stable supply to the market.Thus,suppliers can be seen as a threat to businesses where they have the ability to increase input prices or decrease the quality of the required products and services they provide.The quantity of the business,and the supply lead time directly affect the operations and reduce the profitability of the business.The paper mainly focuses on the supplier selection problemunder a variety of price level and product families when using a two-phase fuzzy multi-objective linear programming.The objectives of the proposed model are to minimize the total purchasing and ordering cost in order to reduce the quantity of defective materials and the late-delivery components from suppliers.Moreover,the piecewise linear membership function is applied in themodel to determine an optimal solution which is based on the requirement of decision makers under their fuzzy environment.The results of this study can be applied in various business environment and provide a reliable decision tool for choosing potential suppliers relating to these objectives.Based on the results,the company canmake a good decision on supplier selection;therefore,the company can improve the quality and quantity of their final product.This is because,the best supplier can supply raw material using just-in-time application and reduce production risk on the manufacturing process.

Agri-food Supply Chain Management: Literature Review

The purpose of this paper is to present a critical review of prior literature relating to agri-food supply chain management. An in-depth analysis has been carried out to identify the influential information from the literature. This paper has identified gaps to be explored about agricultural supply chain management (SCM) practices which may be used by researchers to enrich theory construction and practitioners may concentrate on establishing the extent and frontiers of agri-food SCM. This research work is the first attempt to make a critical literature review of available literature on agri-food SCM practices for developing countries like India. The research articles and other materials related to the agri-food supply chain management were collected from online data bases like Scopus, EBSCO and Google Scholar for the period of 10 years (2006-2016). The study performs content analysis and is followed by descriptive analysis. In the next phase, the literature in the field of agri-food supply chain management is classified into four broad categories viz. general literature review of agri-food supply chain, policies affecting the segments of agri-food supply chain, individual segments of agri-food SCM (structure of supply chain segments and conduct of supply chain segments) and performance of supply chain segments. These four categories are comprehensively reviewed and elaborated the research gap in the literature based on agri-food supply chain management. Finally, potato supply chain of India is considered as a case example for comprehensive analysis and elaborated in detail.

Discovering optimal weights in weighted‑scoring stock‑picking models: a mixture design approach

Certain literature that constructs a multifactor stock selection model adopted a weighted-scoring approach despite its three shortcomings.First,it cannot effectively identify the connection between the weights of stock-picking concepts and portfolio performances.Second,it cannot provide stock-picking concepts’optimal combination of weights.Third,it cannot meet various investor preferences.Thus,this study employs a mixture experimental design to determine the weights of stock-picking concepts,collect portfolio performance data,and construct performance prediction models based on the weights of stock-picking concepts.Furthermore,these performance prediction models and optimization techniques are employed to discover stock-picking concepts’optimal combination of weights that meet investor preferences.The samples consist of stocks listed on the Taiwan stock market.The modeling and testing periods were 1997–2008 and 2009–2015,respectively.Empirical evidence showed(1)that our methodology is robust in predicting performance accurately,(2)that it can identify significant interactions between stock-picking concepts’weights,and(3)that which their optimal combination should be.This combination of weights can form stock portfolios with the best performances that can meet investor preferences.Thus,our methodology can fill the three drawbacks of the classical weighted-scoring approach.

Trading stocks following sharp movements in the USDX, GBP/USD, and USD/CNY

We hypothesized that sharp movement in the USDX,GBP/USD,and USD/CNY might result in stock market fluctuations owing to heightened investors’sentiments.The subsequent performance of trading stocks right after such sharp movements in exchange rates is seldom explored in existing studies.We examined the historical data of the constituent stocks of the DJ 30,FTSE 100,and SSE 50 indexes and found that the share prices were more volatile after sharp movements in the CNY,even though the currency is less volatile because of China’s exchange rate policy.However,for the USD and GBP,share prices of the DJ 30 and FTSE 100,respectively,rose after sharp appreciation and depreciation of the currencies.

The Life Span of Classical Solutions to Nonlinear Wave Equations with Weighted Terms in Three Space Dimensions

The paper considers the Cauchy problem with small initial values for semilinear wave equations with weighted nonlinear terms.Similar to Strauss exponent p0(n)which is the positive root of the quadratic equation 1+1/2(n+1)p-1/2(n-1)p^(2)=0,we get smaller critical exponents p_(m)(n),p_(m)^(*)(n)and have global existence in time when p>p_(m)(n)or p>p_(m)^(*)(n).In addition,for the blow-up case,the introduction of the spacial weight shows the optimality of new upper and lower bound.

Impact of Foreign Bank Entry on the Performance of Chinese Banks

This study investigates how foreign bank/investor penetrations influence local bank performance in China. At the country level, foreign bank penetration is proxied by MacroFP, measured by the percentage of banks with foreign strategic investors （FSI） among total banks. At the bank level foreign bank penetration is proxied by MicroFP, measured by the percentage shareholding of FSl in a bank. When foreign bank penetration is proxied by MacroFP, it is found to improve the profitability of local banks but not to reduce costs. Next, when foreign bank penetration is proxied by MicroFP, it is found to affect neither profitability nor costs. In sum, the present study demonstrates that the opening-up policy is correct from a macro perspective, However, for banks that have introduced FSI, determining the reasons for improvements in performance being inhibited is more important than releasing more shares to foreign investors.

Impact of Cross-Strait Trade Liberalization:A Computable General Equilibrium Analysis

This paper applies a computable general equilibrium model to investigate the potential economic effects of trade liberalization across the Taiwan Strait. Our simulation results reveal that cross-Strait trade liberalization will have significant positive impacts on external trade, domestic investment and real GDP for the economies in this area in general and in Taiwan in particular. Furthermore, the negative impact from the formation of a free trade arrangement between Taiwan and Chinese Mainland on Hong Kong seems to be rather small. These results suggest that cross-Strait trade liberalization is very likely to bring about a win-win situation for the economies in this area.