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COVID-19 (C19) has been destroying the world's health and emergency response system for almost the past year. Policymakers and health practitioners are trying their best to save the public through various policy development and initiatives in this regard. This study aims to examine the containment measures and their impacts on Australia's C19 situation in Australia's COVIDsafe app background.

This study investigates the role of the Australian Government's (AG) Health Containment (HC) and Stringency response (SR) in combating the C19 situation in Australia. The time horizon has been taken from January to October 2020 and applied Linear Regression with graphical demonstration analysis by STATA-18 version and MS Word chart features.

By applying linear regression and graphical demonstration, statistics revealed that AG made various policy developments during the C19 pandemic. However, due to inconsistent and unsustainable measures, the second C19 wave hit Australia much harder than the first wave. COVIDsafe app has been a vital AG in this regard; however, it did not show its progress during the second wave due to privacy issues. After the more focused and aggressive research and development measures, AG overcame the App drawbacks and controlled the situation, demonstrating 92% recovered statistics from C19.

The study concludes that AG should enforce many prudent policy measures and distinct E-government features in the COVIDsafe app and make it secure so people will use it in probable forthcoming C19 waves.

This study has examined the Government of Australia's containment measures in the background discussion of the COVIDsafe app.

E-government development (EGD) is vital in enhancing the institutional quality and sustainable public service (SPS) delivery by eradicating corruption and cybersecurity crimes.

The present study applied econometric fixed-effect (FE) regression analysis and random forest (RF) algorithm through machine learning for comprehensive estimations in achieving SPS. This study gauges the nexus between the EGD as an independent variable and public service sustainability (PSS) as a proxy of public health services as a dependent variable in the presence of two moderators, corruption and cybersecurity indices from 47 Asian countries economies from 2015 to 2019.

The computational estimation and econometric findings show that EGD quality has improved with time in Asia and substantially promoted PSS. It further explores that exercising corruption control measures and introducing sound cybersecurity initiatives enhance PSS's quality and support the EDG effect much better.

The study concludes that E-Government has positively impacted PSS (healthcare) in Asia while controlling cybersecurity and institutional malfunctioning made an E-Government system healthier and SPS development in Asia.

This study added a novel contribution to existing E-Government and public services literature by comprehensively applied FE regression and RF algorithm analysis. Moreover, E-Government and cybersecurity improvement also has taken under consideration for PSS in Asian economies.

On the basis of principal-agent and financing constraints theories, the purpose of this paper is to construct a unified research framework via mathematical models and to provide a logical and consistent explanation of the contradictory discovery of the relationship between dividend payment and I-CFO in the previous literature.

Establishing the economic mathematical models, this paper uses the comparative static analysis to figure out the equilibrium results, to further testify the conclusions, the authors initiate the empirical tests to make the discussion more realistic.

The authors observe that overinvestment caused by agency problems is the primary reason for I-C sensitivity when the investment expenditure is less than the internal capital; dividend payout suppresses the overinvestment caused by the agency problem, thus alleviating the investment’s dependence on the internal capital. However, underinvestment caused by the financing constraints is the primary cause of I-C sensitivity when the investment expenditure is greater than the internal capital. The payment of cash dividends increases the investment shortage caused by the financing constraints, thus increasing the sensitivity. Further, the authors explore the impact of dividend payments on I-CFO sensitivity. They argue that dividend payment is not an appropriate measure of financing constraints. Both I-CFO sensitivity and I-C sensitivity are functions of agency cost and information cost.

This study provides a logical and consistent explanation of the contradictory discovery of the relationship between dividend payment and I-CFO in the previous literature and provides a clear framework and reference for future studies on the impact of financial constraints, agency cost on the investment’s dependence on the internal capital.

The theoretical model of this paper supports this differentiated mandatory dividend policy and provides reference and evidence for China's financing policies and dividend distribution policies.

This study theoretically and empirically analyzes and verifies the roles of agency cost and financial constraints on the determinants of I-C sensitivity for the first time. First, different from earlier literature, this paper puts forward I-C sensitivity as a new measure of investment’s dependence on internal capital, making the measurement more accurate. In the case of a firm with positive liquidity reserves, using the I-CFO sensitivity as a measure of external financing constraints could overestimate the firm’s financial constraints. Second, by constructing an economic static analysis framework, this study analyzes how I-C and I-CFO sensitivities change with the agency cost, the financing constraints and the dividend payment ratio. The research provides a basic framework and explanation on the contradictions of the earlier literature. The results are supposed to serve as a foundation for estimations of investment’s dependence on internal capital and should be embedded in general empirical tests in future research.

The purpose of this paper is to investigate how revelations of corporate misconduct are associated with trade credit. Specifically, it investigates how this association varies in different regions, in different types of industries and in response to companies’ subsequent charitable donations.

The authors empirically tested various hypotheses using a sample of 2,725 Chinese A-share listed companies from 2009 to 2014 based on signaling theory. Fixed effect models underpinned the methods used.

The authors found that corporate misconduct has a significant negative impact on an irresponsible company’s trade credit received and granted, and the negative impact is heterogeneous for different regions and industries. There is no evidence that charitable donations mitigate the effect on the trade credit of irresponsible companies following revelations of corporate misconduct.

The results suggest that listed companies in China should obey national and local laws and regulations if they wish to avoid the risk of significant trade credit loss. If a company’s violation of these laws and regulations is disclosed, making charitable donations is not an effective strategy for safeguarding trade credit.

This study enriches understanding on the consequences of corporate misconduct and extends the literature on trade credit. It fills a research gap by identifying the impact of corporate misconduct on trade credit.

The purpose of this paper is to analyze and examine the role of accounting conservatism on firm investment behavior in China.

By combining a developed theoretical framework and empirical study, this paper examines the impacts of accounting conservatism on firm investment. The sample and data are all collected from Wind and CAMAR databases.

The paper finds that the association between accounting conservatism and capital expenditure is significantly positive when inside capital is not enough to use for investment, suggesting that conservatism can expend the level of investment by decreasing information asymmetry and cost of capital; however, the association between accounting conservatism and capital expenditure is significantly negative when inside capital is enough to use for investment, suggesting that conservatism can curtail the level of investment by mitigating the interest conflicts between management and outside shareholders and decreasing agency costs. Additionally, the paper finds that the severity of information asymmetry and agency problem affects the role of accounting conservatism on firm investment behaviour, and the association between accounting conservatism and capital expenditure is weaker for firms with ultimate ownership controller as local government or individuals.

This is the first paper to analyze and examine the impacts of accounting conservatism on firm investment in China directly. The findings are also useful to explain the awkward predicament found by prior literature.

Once an uneven substrate is aligned, traditional control theories and methods can be used on it, so aligning is of great significance for the development of wire and arc additive manufacturing (WAAM). This paper aims to propose a shape-driven control method for aligning a substrate with slopes to expand the application of WAAM.

A substrate with slopes must be aligned by depositing weld beads with slopes. First, considering the large height differences of slopes, multi-layer deposition is needed, and the number of layer of weld beads must be ascertained. Second, the change in the deposition rate is controlled as a ramp function to generate weld beads with slopes. Third, the variation of the deposition rate must be fine-tuned to compensate for the deviation between the actual and theoretical layer heights at the deposition of each layer. Finally, the parameters of the ramp functions at the deposition of each layer are determined through an optimization method.

First, to model the response function of layer height to deposition rate, the experiments are conducted with the deposition rate jumping from 4 to 8 mm/s and from 8 to 4 mm/s. When the deposition rate jumps from 4 to 8 mm/s and from 8 to 4 mm/s, the difference in the height of each layer decreases as the number of layer increases. Second, the variation of the deposition rate can be fine-tuned based on the deviation between the measured and theoretical layer heights because the variation of the deposition rate is proportional to the layer height when the initial and end deposition rates are near 4 or 8 mm/s, respectively. Third, the experimental results demonstrate that the proposed method is effective for single-layer aligning and aligning a substrate with one or more slopes.

The proposed method can expand the application of WAAM to an uneven substrate with slopes and lays the foundation for aligning tasks focused on uneven substrates with more complex shapes.

Hydrostatic thrust bearing is a key component of the vertical CNC machining equipment, and often results in friction failure under the working condition of high speed and heavy load. The lubricating oil film becomes thin or breaks because of high speed and heavy load and it affects the high precision and stable operation of the vertical CNC machining equipment; hence, it is an effective way of avoiding friction failure for achieving the oil film shape prediction

For the hydrostatic thrust bearing with double rectangular cavities, researchers solve the deformation of the friction pairs in hydrostatic bearing by using the computation of hydrodynamics, elasticity theory, finite element method and fluid-thermal-mechanical coupled method. The deformation includes heat deformation and elasticity deformation, the shape of gap oil film is got according to the deformation of the friction pairs in hydrostatic bearing, and gets the shape of gap oil film, and determines the influencing factors and laws of the oil film shape, and achieves the prediction of oil film shape, and ascertains the mechanism of friction failure. An experimental verification is carried out.

Results show that the deformation of the rotational workbench is upturned along its radial direction under the working condition of high speed and heavy load. However, the deformation of the base is downturned along its radial direction and the deformation law of the gap oil film along the radius direction is estimated; the outer diameter is close but the inner diameter is divergent wedge.

The conclusion can provide a theoretical basis for the oil film control of hydrostatic thrust bearing and improve the stability of vertical CNC machining equipment.

Massively multiplayer online role-playing games (MMORPGs) create quasi-real social systems in which players can interact with one another, and quasi-real economic systems where players can consume and trade in-game items with virtual currency. The in-game currency price, an important indicator of a virtual economy, is highly contingent on players’ behavioral interaction in MMORPGs. The purpose of this paper is to adopt a network perspective to examine how topological characteristics of social networks in an MMORPG, namely, network externalities, density, and closure, would exert impacts on the in-game currency price.

Players’ behavioral data were collected from a popular MMORPG in China on a weekly basis for 52 weeks. With a time series analytical approach, the empirical model for the price function of in-game currency was estimated with vector autoregression.

The results show that the number of core avatars and network density are positively associated with in-game currency price, while network closure has a negative effect on in-game currency price. However, in-game currency price is found to have no significant relationship with the trade volume of the currency.

This study fills in an important research gap by investigating factors influencing the in-game currency price of MMORPGs from a network perspective, which contributes to the existing literature of network effects and advances our understanding about how players’ interaction will influence the dynamics of a virtual economy. The findings could offer useful insights for online game companies to better understand their players’ social interaction and consumption behavior.

This paper aims to propose a deep learning model that can be used to expand the number of samples. In the process of manufacturing and assembling electronic components on the printed circuit board in the surface mount technology production line, it is relatively easy to collect non-defective samples, but it is difficult to collect defective samples within a certain period of time. Therefore, the number of non-defective components is much greater than the number of defective components. In the process of training the defect detection method of electronic components based on deep learning, a large number of defective and non-defective samples need to be input at the same time.

To obtain enough electronic components samples required for training, a method based on the generative adversarial network (GAN) to generate training samples is proposed, and then the generated samples and real samples are used to train the convolutional neural networks (CNN) together to obtain the best detection results.

The experimental results show that the defect recognition method using GAN and CNN can not only expand the sample images of the electronic components required for the training model but also accurately classify the defect types.

To solve the problem of unbalanced sample types in component inspection, a GAN-based method is proposed to generate different types of training component samples and then the generated samples and real samples are used to train the CNN together to obtain the best detection results.

This study aims to help businesses cope with consumers' no-show behaviour from a multistage perspective. It specifically identifies no-show reasons at each stage of appointment services and proposes the corresponding coping strategies.

By focusing on an outpatient appointment service, we interviewed 921 no-show patients to extract no-show reasons, invited 18 hospital managers to propose coping strategies for these reasons using a Delphi method and evaluated the proposed strategies based on EDAS (Evaluation based on Distance from Average Solution).

The results reveal ten reasons for no-show behaviour (i.e. system service quality, overuse, did not know the appointment, self-judgment, forget, waiting time, lateness, uncontrollable problems, time conflict and service coordination), which have nine coping strategy themes (i.e. prepayment, system intelligence, target, subjective norm, system integration, ease of navigation, reminder, confirmation and cancellation). We classify the ten reasons and nine themes into scheduling, waiting and execution stages of an appointment service.

This study provides a package of coping strategies for no-show behaviour to deal with no-show reasons at each appointment service stage. It also extends the research in pre-service management through appointment services.