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This paper is devoted to the generalized Kadomtsev–Petviashvili I equation. This study aims to propose a new approach for investigation for the existence of at least one global classical solution and the existence of at least two nonnegative global classical solutions. The main arguments in this paper are based on some recent theoretical results.

This paper is devoted to the generalized Kadomtsev–Petviashvili I equation. This study aims to propose a new approach for investigation for the existence of at least one global classical solution and the existence of at least two nonnegative global classical solutions. The main arguments in this paper are based on some recent theoretical results.

This paper is devoted to the generalized Kadomtsev–Petviashvili I equation. This study aims to propose a new approach for investigation for the existence of at least one global classical solution and the existence of at least two nonnegative global classical solutions. The main arguments in this paper are based on some recent theoretical results.

This article is devoted to the generalized Kadomtsev–Petviashvili I equation. This study aims to propose a new approach for investigation for the existence of at least one global classical solution and the existence of at least two nonnegative global classical solutions. The main arguments in this paper are based on some recent theoretical results.

This study investigates the significance of trade credit (TC) as an alternative source of funding in financing the growth of financially dependent firms.

Panel data analysis using the difference generalized method of moments (GMM) and fixed-effects ordinary least squares (FE-OLS) is conducted on annual data from publicly listed firms across a number of developing economies. The data cover the period from 2003 to 2019.

The findings indicate that financially dependent firms rely on TC to manage their growth, especially when they have exhausted their debt capacity. This dependence on TC displays a cyclical pattern. As firms enhance their financial position, they tend to scale back their dependence. Nevertheless, firms with significant growth opportunities continue utilizing TC for at least two years after their initial identification as financially dependent.

The author's conclusion highlights that TC can be a valuable and accessible source of funding, especially in developing economies where the real sector may require alternative financing channels. Hence, TC has the potential to play a very significant role in financing corporate growth in these economies.

The current study adds to the existing body of literature by revealing that access to alternative sources of finance is also critical for firms that are dependent on external sources and for firms that have exhausted their financial debt capacity.

This paper aims to study qualitative properties and approximate solutions of a thermostat dynamics system with three-point boundary value conditions involving a nonsingular kernel operator which is called Atangana-Baleanu-Caputo (ABC) derivative for the first time. The results of the existence and uniqueness of the solution for such a system are investigated with minimum hypotheses by employing Banach and Schauder's fixed point theorems. Furthermore, Ulam-Hyers (UH) stability, Ulam-Hyers-Rassias UHR stability and their generalizations are discussed by using some topics concerning the nonlinear functional analysis. An efficiency of Adomian decomposition method (ADM) is established in order to estimate approximate solutions of our problem and convergence theorem is proved. Finally, four examples are exhibited to illustrate the validity of the theoretical and numerical results.

This paper considered theoretical and numerical methodologies.

This paper contains the following findings: (1) Thermostat fractional dynamics system is studied under ABC operator. (2) Qualitative properties such as existence, uniqueness and Ulam–Hyers–Rassias stability are established by fixed point theorems and nonlinear analysis topics. (3) Approximate solution of the problem is investigated by Adomain decomposition method. (4) Convergence analysis of ADM is proved. (5) Examples are provided to illustrate theoretical and numerical results. (6) Numerical results are compared with exact solution in tables and figures.

The novelty and contributions of this paper is to use a nonsingular kernel operator for the first time in order to study the qualitative properties and approximate solution of a thermostat dynamics system.

This paper aims to scrutinize some determinants that affect the functions and roles of contemporary parliaments. In particular, such parliaments attempt to involve in new areas that were not represented in parliamentary study and to play new roles in the areas of development, diplomacy, the establishment of post-conflict peace rules and achieving the objectives of the sustainable development. The study found that the most important determinants affecting the new roles of contemporary parliaments are the constitutional and legal frameworks.

This paper adopts three basic methodologies so as to reach some applicable scientific findings that can be generalized. The researcher has used the descriptive methodology, to shed light on the parliament’s various activities and new roles and to take note of the many surrounding factors and available dimensions that enable parliaments to perform such roles. The researcher has also used the comparative methodology, to study parliaments with a view to identifying their roles in a way that includes their similarities and dissimilarities and the possibility of generalizing the outputs.

The paper has reached many findings, the most important of which are: first, the need to present appropriate amendments to the constitutions to give space to parliaments to play more effective and influential roles. Second, the internal regulations of parliaments must be in line with the attitudes and aspirations of the parliament and its members, giving appropriate cover for playing new roles in various areas.

This study has found that contemporary parliaments can play new roles in various fields, whether internal or external and in different sectors as well, as a result of the great developments and complexities introduced around the world. Such developments and complexities have cast a shadow on governments and affected their abilities in dealing with the issues immediately because of the enormous challenges in addition to the ongoing developments occurring to the legislative systems in the world, at the technical level of the departments and secretariats of contemporary parliaments or for members of Parliament and the institution as a whole.

The new roles of contemporary parliaments have been affected by the determinants of the research, which are the constitutional framework, the legislative framework, the relationship between Parliament and civil society and the relationship between Parliament and the government. These factors cast a shadow over the expansion or contraction of the attempts of modern parliaments to play new roles.

This study has found that contemporary parliaments can play social roles in various fields of a social nature, which is find solutions to the problems experienced by societies emerging from civil wars, which need national reconciliation, for example, the reconciliation of the ethnic tribes carried out by the Iraqi council of representatives between the local tribes to resolve the internal problems, in addition the role of Borondian council by it is trying end the conflict between the tribes of Hotsi and Tutsi.

The importance of the study stems from the fact that it focuses on the most important determinants of the new roles of contemporary parliaments that may be conducted outside the traditional framework of the parliament's study of legislation and supervision. Such contemporary parliaments have played new roles that take the form of political, economic, social, humanitarian, diplomatic and environmental works and other works concerned with the climate and their attempts to end internal and external conflicts and disputes.

Traditional robot arm trajectory planning methods have problems such as insufficient generalization performance and low adaptability. This paper aims to propose a method to plan the robot arm’s trajectory using the trajectory learning and generalization characteristics of dynamic motion primitives (DMPs).

This study aligns multiple demonstration motion primitives using dynamic time warping; use the Gaussian mixture model and Gaussian mixture regression methods to obtain the ideal primitive trajectory actions. By establishing a system model that improves DMPs, the parameters of the nonlinear function are learned based on the ideal primitive trajectory actions of the robotic arm, and the robotic arm motion trajectory is reproduced and generalized.

Experiments have proven that the robot arm motion trajectory learned by the method proposed in this article can not only learn to generalize and demonstrate the movement trend of the primitive trajectory, but also can better generate ideal motion trajectories and avoid obstacles when there are obstacles. The maximum Euclidean distance between the generated trajectory and the demonstration primitive trajectory is reduced by 29.9%, and the average Euclidean distance is reduced by 54.2%. This illustrates the feasibility of this method for robot arm trajectory planning.

It provides a new method for the trajectory planning of robotic arms in unstructured environments while improving the adaptability and generalization performance of robotic arms in trajectory planning.

From these data, the authors construct an uncertainty index through the use of a vector autoregressive (VAR) model to measure the impact of uncertainty on GDP, controlling for inflation, which may affect macroeconomic performance. Results indicate that uncertainty is negatively correlated with the economic cycle and the inter-annual variation of the biannual average product.

This study empirically explores the dynamics of expectations of the Uruguayan manufacturing firms about industrial economic growth. This study explores the dynamics of the industrial economic growth expectations of Uruguayan manufacturing firms. The empirical research is based on firms' expectations data collected through a monthly survey carried out by the Chamber of Industries of Uruguay (CIU) in 2003–2018.

Granger causality tests show that uncertainty Granger-causes industrial production growth and a one standard deviation shock on uncertainty generates a contraction in the industrial production growth rate. Finally, the authors use statistical and network tools to identify groups of firms with similar performance on expectations. Results show that higher uncertainty is associated with smaller, more interconnected groups of firms, and that the number of homogeneous groups and the distance between groups increases with uncertainty. These findings suggest that policies focused on the coordination of expectations can lead to the development of stable opinion groups.

The paper introduces new data and new methodologies to analyze the dynamics of expectations of manufacturing firms about industrial economic growth.

1. An empirical approach to compare expectations of firms is introduced.

2. The occurrence of groups of opinion is tested.

3. Central companies in the network of expectations are detected.

4. More uncertainty implies a higher degree of discrepancy between the overall firm’s opinions and more compact opinion groups.

An empirical approach to compare expectations of firms is introduced.

The occurrence of groups of opinion is tested.

Central companies in the network of expectations are detected.

More uncertainty implies a higher degree of discrepancy between the overall firm’s opinions and more compact opinion groups.

This study aims to analyze the effect of entrepreneurs’ improvisational behavior on business risk-taking and opportunity recognition, as well as to analyze its subsequent impact on firm performance. Moreover, this study examined whether the effect of entrepreneurs’ improvisational behavior on business risk-taking and opportunity recognition could be moderated by firm size and the business experience of entrepreneurs.

Online survey data were collected from 304 firms in Thailand that were randomly selected from a business directory. The data were assessed using partial least squares structural modeling.

The results confirmed that entrepreneurs who exhibited high levels of improvisational behavior tended to report that their firms engaged more actively in risk-taking and opportunity recognition. Moreover, risk-taking and opportunity recognition played a chain mediating effect in explaining the association between the improvisational behavior of entrepreneurs and firm performance. Regarding the moderating effects, this paper found that firm size negatively moderated the effect of improvisational behavior on risk-taking and opportunity recognition, while business experience of entrepreneurs only positively moderated the effect of improvisational behavior on risk-taking.

This study provided new knowledge by showing that improvisational behavior of entrepreneurs should be integrated with other firm advantages determined by firm size and the business experience of entrepreneurs to strengthen the ability to be more effective at risk-taking and opportunity recognition.

This study aims to investigate the impact of terrorism on financial inclusion that is achieved through automated teller machine penetration and bank branch expansion.

Eight countries that are the most terrorized countries in the world were analysed using the panel fixed effect regression model and the generalized linear model.

The results provide evidence that terrorism reduces the level of financial inclusion in countries experiencing terrorism, but the presence of strong legal institutions, accountability governance institutions and political stability governance institutions mitigate the adverse effect of terrorism on financial inclusion.

A growing literature has shown that terrorism affects the economy, yet little is known about its impact on financial inclusion.

The COVID-19 pandemic, a sudden and disruptive external shock to the USA and global economy, profoundly affected various operations. Thus, it becomes imperative to investigate the repercussions of this pandemic on the US housing market. This study investigates the impact of the COVID-19 pandemic on a crucial facet of the real estate market: the Time on the Market (TOM). Therefore, this study aims to ascertain the net effect of this unprecedented event after controlling for economic influences and real estate market variations.

Monthly time series data were collected for the period of January 2010 through December 2022 for statistical analysis. Given the temporal nature of the data, we conducted the Durbin–Watson test on the OLS residuals to ascertain the presence of autocorrelation. Subsequently, we used the generalized regression model to mitigate any identified issues of autocorrelation. However, it is important to note that the response variable derived from count data (specifically, the median number of months), which may not conform to the normality assumption associated with standard regression models. To better accommodate this, we opted to use Poisson regression as an alternative approach. Additionally, recognizing the possibility of overdispersion in the count data, we also explored the application of the negative binomial model as a means to address this concern, if present.

This study’s findings offer an insightful perspective on the housing market’s resilience in the face of COVID-19 external shock, aligning with previous research outcomes. Although TOM showed a decrease of around 10 days with standard regression and 27% with Poisson regression during the COVID-19 pandemic, it is noteworthy that this reduction lacked statistical significance in both models. As such, the impact of COVID-19 on TOM, and consequently on the housing market, appears less dramatic than initially anticipated.

This research deepens our understanding of the complex lead–lag relationships between key factors, ultimately facilitating an early indication of housing price movements. It extends the existing literature by scrutinizing the impact of the COVID-19 pandemic on the TOM. From a pragmatic viewpoint, this research carries valuable implications for real estate professionals and policymakers. It equips them with the tools to assess the prevailing conditions of the real estate market and to prepare for potential shifts in market dynamics. Specifically, both investors and policymakers are urged to remain vigilant in monitoring changes in the inventory of houses for sale. This vigilant approach can serve as an early warning system for upcoming market changes, helping stakeholders make well-informed decisions.

This article investigates whether employers are more likely to employ older workers when faced with a shortage of qualified labour. Furthermore, it analyses whether in such cases age stereotypes moderate employers' preferences towards four employment options: (1) supporting workers to continue until the retirement age, (2) encouraging workers to continue beyond the retirement age, (3) recruiting someone older than 55 and (4) (re)hiring someone who has retired.

Data were drawn from a survey conducted among Finnish employers in 2021 (response rate = 66%, N = 1,442). Applying factor analysis to questions about older workers' qualities compared to those of average workers, a distinction was made between perceptions of experience-related and adaptability-related qualities. Generalised ordered logistic regression models were estimated to analyse the relations of preferences for each employment option with experiencing recruitment problems, workplace age stereotypes and interactions between these.

Experiencing recruitment problems was positively related to preferences for hiring a retired person. Employers with difficulties in recruitment were more likely to support work until the retirement age and recruit someone over 55, but only if they had above-average positive perceptions of older workers' experience-related qualities. Employers confronted with recruitment difficulties were more likely to encourage workers to continue beyond the retirement age if they had more positive perceptions of older workers' adaptability-related qualities.

This study shows that, even when confronted with labour shortages and population ageing, workplace age stereotypes still pose a potential obstacle for employers to make the best use of an older workforce.