This paper aims to show the crisis of contemporary criminal systems, however legislative excess of stipulating the penalty of imprisonment, as a penalty depriving freedom, while sometimes stipulating the penalty of imprisonment is mandatory, rather combining it with other penalties, and more than that, depriving the judge of his discretionary power in determining the punishment, this threatens the theory of individualized punishment in a fatal way, so as a result, prisons are overcrowded with inmates, which places a heavy burden on the state from an economic perspective that exhausts and drains its budget, while there is also a social cost of the prison sentence, paid by the prisoner’s family and close circle, moreover the greatest cost is the failure of the penal system to perform its role towards the prisoner by reforming and rehabilitating, therefore, this paper focuses on presenting the causes of the problem and its negative repercussions, trying to find some solutions, by presenting alternatives to the prison sentence, while expanding the view to include some criminal systems, such as the Islamic criminal system and its decision on the penalty of exile.

The Modern Cities Program is the largest-scale urban development effort in the history of the country, with which the Government of Hungary aims to promote the simultaneous development of municipalities at the same hierarchical level. Its projects focus on the preservation of intangible and tangible cultural heritage, the transformation of urban public spaces and green areas into community spaces, the creation of institutions for sports and recreational activities, research and development, digitalization, projects for innovative and creative professionals, and public educational and cultural institutions. The study aims to analyze the funding granted for developing the cultural and creative sector of cities with county rights through the Modern Cities Program in the period 2016–2025, by comparing the size of their population, their strategic importance in regional economic policy and the relationship between the value of the cultural heritage with the amount of funding received. The paper unveils the distribution of grants over time and space, the modalities and proportion of grants, and the way the cities that has received grants align with the national strategy. This will also reveal a shift in the regional importance of the cities and their relationship. Until February 2024, the Government of Hungary has contributed more than HUF 322.6 billion (809.5 million EUR) to the implementation of 98 cultural and creative projects in 22 cities with county rights through its urban development support program that has been established for the development and regeneration of cities with county rights and to counter the dominance of the capital.

The idea of emotions that is concealed in human language gives rise to metaphor. It is challenging to compute and develop a framework for emotions in people because of its detachment and diversity. Nonetheless, machine translation heavily relies on the modeling and computation of emotions. When emotion metaphors are calculated into machine translation, the language is significantly more colorful and satisfies translating criteria such as truthfulness, creativity and beauty. Emotional metaphor computation often uses artificial intelligence (AI) and the detection of patterns and it needs massive, superior samples in the emotion metaphor collection. To facilitate data-driven emotion metaphor processing through machine translation, the study constructs a bi-lingual database in both Chinese and English that contains extensive emotion metaphors. The fundamental steps involved in generating the emotion metaphor collection are demonstrated, comprising the basis of theory, design concepts, acquiring data, annotating information and index management. This study examines how well the emotion metaphor corpus functions in machine translation by proposing and testing a novel earthworm swarm-tunsed recurrent network (ES-RN) architecture in a Python tool. Additionally, the comparison study is carried out using machine translation datasets that already exist. The findings of this study demonstrated that emotion metaphors might be expressed in machine translation using the emotion metaphor database developed in this research.

The tourism sector is exponentially expanding across the globe. Despite different forms of tourism, community-based tourism has evolved with new dimensions of development. Assessing the sustainable development of the sector is a top priority in order to adopt the new forms. Therefore, in this study, the association between community-based tourism and its sustainable development was measured under the lens of collaborative theory and social exchange perspective. Non-probabilistic judgmental sampling techniques were applied, and 201 respondents were assessed. Data analysis was conducted using structural equation modeling (SEM). The study grounded with residents’ perspectives and attested that community-based tourism directly enhanced residents’ economic conditions with a better environment, and the relationship between residents and tourists enhanced the tourism industry’s sustainable development. Stakeholders like government and local administrations play a significant role in exploring community-based tourism. This outcome of the research will be a substantial resource for local administrations, governments, researchers, policymakers and practitioners.

The global agreement on environmentally friendly policies puts pressure on businesses to implement good practices to increase legitimacy in a competitive environment. This research aims to examine business dynamic capabilities and value creation processes through the concept of green dynamic marketing capabilities. This concept addresses the ability of businesses to absorb, manage information and accumulate new knowledge that fuels innovative endeavors. The dynamic capability view and customer value theory are integrated to theoretically explain the value creation process of market-orientated innovative products. A total of 58 global companies in Clean200 were sampled. A quantitative approach was conducted to measure the effect of organizational learning (environment management team, environment management training, environment supply chain management) on green innovation (environmental innovation score, eco design product). The results showed that the contribution of Model-1 (0.473 or 47.3%) explained the effect of organizational learning on environmental innovation score, respectively on the variables of environment management team (2.859/0.005), environment management training (−2.971/0.003), and environment supply chain management (7.786/0.000). The contribution of Model-2 (0.448/44.8%) explains the effect of organizational learning on eco-design product, respectively on the variables of environment management team (4.280/0.000), environment management training (−6.401/0.000), and environment supply chain management (7.910/0.000). Model-3 tested the structural association variables in organizational learning and green innovation. A significant influence can be seen with a probability value smaller than 0.05. This research shows that the concept of green dynamic marketing capabilities can be used to explain the ability of businesses in response to the pressure of green global norms through the development of organizational learning towards creation of green innovation product that has impact on market performance. The implication of this research is the creation of new mindset in which green global norms challenge becomes an opportunity for businesses to improve competitiveness.