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Four reputed leaders for the coming years in the field of special education for individuals with emotional and behavioral disorders (EBD) each with a slightly different perspective on the field were asked to respond independently to a prompt asking what does special education mean for students with EBD and what is being done and how do we maintain tradition? The contributors' responses to the prompt are presented and then summarized across the essays. A remarkable consistency emerges across the independent essays. In addition to the tradition of providing a free and appropriate education in the least restrictive environment, the contributors identify needs to support teachers serving this population. Needs in teacher training and the expertise required to meet the needs of individuals with EBD are outlined as well as potential contributions of technology to carry out specific tasks. We conclude with a call for increased advocacy for use of the knowledge that we currently possess and that which will soon be discovered to support students with EBD as well as their teachers. We also note that the contributors' names are listed alphabetically to acknowledge the equality of each person to the final product.

Introduction: The Republic of Moldova’s economy faces risks caused by the war in Ukraine and the economic crisis, proving that citizens’ prosperity is essential for national stability and that financial knowledge influences the standard of living. A minimum financial education provides information, knowledge, and tools to make correct decisions based on informed consent in an increasingly complex financial system. In the financial-banking and academic environment, in-depth research of consumers’ financial education level helps to optimise, streamline, and balance bank–client relations with fairness. This work is the consequence of studying the level of financial education among consumers of financial-banking services, with direct implications for their financial well-being.

Purpose: The main aim of this research is to measure the financial knowledge of consumers of financial-banking services, developing recommendations for measures to improve the situation.

Methodology: To explain the factors of influence, the following research techniques were used: analysis and synthesis of conceptual approaches to financial education; deduction and induction; analysis of the findings of sociological research on the level of financial education of users of financial-banking services; and recommendation synthesis.

Findings: The research validates that enhancing financial education has a positive effect on individuals and the economy, reinstates confidence in financial markets, makes an innovative contribution to accurately assessing consumers’ financial knowledge enabling the implementation of proactive measures.

Implications: This chapter provides insights into consumers’ financial education level, serving as a crucial indicator for institutions and public authorities in formulating and promoting effective educational initiatives to ensure minimal skill gaps.

This study employs Stein Rokkan's methodological approach to analyse state formation in the Greater Middle East. It develops a conceptual framework distinguishing colonial, populist and democratic pacts, suitable for analysis of state formation and nation-building through to the present period. The framework relies on historical institutionalism. The methodology, however, is Rokkan's. The initial conceptual analysis also specifies differences between European and the Middle Eastern state formation processes. It is followed by a brief and selective discussion of historical preconditions. Next, the method of plotting singular cases into conceptual-typological maps is applied to 20 cases in the Greater Middle East (including Afghanistan, Iran and Turkey). For reasons of space, the empirical analysis is limited to the colonial period (1870s to the end of World War 1). Three typologies are combined into one conceptual-typological map of this period. The vertical left-hand axis provides a composite typology that clarifies cultural-territorial preconditions. The horizontal axis specifies transformations of the region's agrarian class structures since the mid-19th century reforms. The right-hand vertical axis provides a four-layered typology of processes of external intervention. A final section presents selected comparative case reconstructions. To the authors' knowledge, this is the first time such a Rokkan-style conceptual-typological map has been constructed for a non-European region.

This chapter provides a comprehensive exploration of the pivotal role of family planning in advancing sustainable development goals (SDGs). It elucidates the intrinsic connection between family planning and sustainable development, scrutinizes the harmonization of family planning initiatives with SDG targets and indicators, gleans insights from global approaches, and identifies formidable challenges, with a particular focus on marginalized communities. This chapter culminates with a set of substantial recommendations aimed at surmounting these challenges and propelling SDG attainment through the prism of family planning.

This study aims to investigate the association between Corporate Social Responsibility (CSR) and tax avoidance, as well as the effect of earnings performance on this link. We suggest a negative association between CSR and tax avoidance based on the Stakeholder Theory. We also suggest that earnings performance moderates this relationship. Based on a sample of 25 Tunisian firms during the years 2012–2017, data were gathered via annual reports of the companies, and a survey-questionnaire was used to gather CSR information. The research design uses ordinary least squares (OLS) regression to investigate the association between CSR and tax. In addition, the analysis is performed using panel data to account for heterogeneity at the individual level and over time. Using this research design, the study provides a comprehensive examination of the effect of CSR on tax avoidance among Tunisian companies over a 6-year period. According to our findings, companies that participate in CSR initiatives show less tax avoidance than those that do not. Moreover, in line with the Slack Resource Theory, for businesses with higher earnings, the negative link between CSR and tax avoidance is stronger. Our research demonstrates that businesses may utilize CSR to improve their standing in the community and lower the likelihood of tax avoidance. These results suggest that profitable firms may have more funds available to spend on CSR initiatives and, as a result, are more motivated to maintain a positive reputation by refraining from tax avoidance strategies.

This chapter examines the influence of external public borrowing resources on economic progress in Tunisia. The study focuses on two stages: First, the influence is studied in a direct sense and then in an indirect sense, i.e., through a transmission channel of this influence. By applying the autoregressive distributed technique with staggered lags (ARDL), over a period ranging from 1986 to 2019, the results showed that the influence of external borrowing resources on growth seems to be unfavorable in the short term but positive in the long term, hence the importance of the empirical technique chosen. Second, three interaction variables were tested, namely total government expenditure, government investment expenditure, and the real effective exchange rate. The results obtained call for better attention to the channels identified to maximize the positive influence of external public debt on the country's economic progress.

This beginning chapter offers a comprehensive overview of community development, tracing its historical roots and societal implications. It underscores community development’s role in fostering social cohesion and positive change. Beginning with its foundational principles of collective action, participation, and empowerment, the chapter delves into its evolution in response to industrialization and urbanization. It explores diverse scales, contexts, tools, and strategies used in community development and its broader societal impact. The chapter advocates for inclusivity and active engagement of community members, emphasizing tailored solutions that address unique challenges. It acknowledges complexities like ethical dilemmas, power imbalances, and cultural sensitivities, underscoring the importance of integrity and local context understanding in community development.

The development of information technologies has led to a considerable transformation in human resource management from conventional or commonly known as personnel management to modern one. Data mining technology, which has been widely used in several applications, including those that function on the web, includes clustering algorithms as a key component. Web intelligence is a recent academic field that calls for sophisticated analytics and machine learning techniques to facilitate information discovery, particularly on the web. Human resource data gathered from the web are typically enormous, highly complex, dynamic, and unstructured. Traditional clustering methods need to be upgraded because they are ineffective. Standard clustering algorithms are enhanced and expanded with optimization capabilities to address this difficulty by swarm intelligence, a subset of nature-inspired computing. We collect the initial raw human resource data and preprocess the data wherein data cleaning, data normalization, and data integration takes place. The proposed K-C-means-data driven cuckoo bat optimization algorithm (KCM-DCBOA) is used for clustering of the human resource data. The feature extraction is done using principal component analysis (PCA) and the classification of human resource data is done using support vector machine (SVM). Other approaches from the literature were contrasted with the suggested approach. According to the experimental findings, the suggested technique has extremely promising features in terms of the quality of clustering and execution time.