Megatrend University (Serbian: Универзитет Мегатренд, romanized: Univerzitet Megatrend) is a private university located in New Belgrade, the city of Belgrade, Serbia. It was founded in 1989 as the Megatrend Business School, which later became Megatrend University. In 2015, the Council of Megatrend University changed the name of the institution to University John Naisbitt. The name was changed back to Megatrend University in 2017.With around 3,500 enrolled students as of 2018–2019 school year, it is the fourth largest private university in Serbia. The university has a negative reputation in Serbia for series of controversies and claims that its study programs offer "express acquisition of worthless diploma"; also there are numerous claims that its international universities network is nonexistent and that the list of its lecturers is false.
Agricultural systems are increasingly shifting fromproduction-oriented models toward diversified andmarket-integrated structures, requiring new approachesto value creation. The purpose of this study is to examinehow leadership influences the transformation of farmresources into innovative and market-relevant outputs.The research is based on survey data collected from 488farm owners and agricultural entrepreneurs in Tuscany,and the relationships among constructs were analyzedusing a structural modeling approach. The results showthat visionary leadership significantly drives resourcetransformation and innovation, while innovationorientation represents the strongest predictor of marketintegration. Resource transformation also contributesdirectly and indirectly to market outcomes throughinnovation processes. The findings indicate that valuecreation in agriculture follows a sequential pathwaylinking leadership, resources, innovation, and markets.The study concludes that leadership is a key mechanismin enhancing farm competitiveness and sustainability. Itis recommended that farm managers and policymakerssupport leadership development, resource diversification,and innovation-oriented strategies in rural areas.
DNA analysis of certain Scottish families has revealed their Mesopotamian origins as well as their migration routes to Scotland via Scandinavia and Normandy. Some of the families arrived in England from Normandy with William the Conqueror via the English Channel following the Norman conquest of England in 1066, some of whom later settled in Scotland at the time of King David I. However, the history of the Vikings arriving in Scotland goes back to around the end of the eighth century CE when they used to take various sea routes including direct routes from Scandinavia to the Scottish Northern Isles, the Shetlands and Orkneys, in addition to other sea routes which were longer and less used. The families who settled in Scotland contributed significantly to the social and economic development leading to the creation of a unique Scottish culture. While previous studies have focused on the genetic makeup of the Vikings showing population differences, the DNA analysis discussed in this paper suggests that many of the Vikings were European settlers mainly from the Scandinavian countries. However, some of the Viking leaders were in fact immigrants with ancestral origins in the ancient historical region of Mesopotamia. The DNA analysis suggests that members of ancient Mesopotamian dynasties arrived in Scandinavia via Anatolia and across Europe and controlled the regional populations as Viking leaders and ruling dynasties including Danish monarchs as well as the Norman kings of England and their relatives.
Following the Battle of Hastings in 1066 CE, Duke William II of Normandy, became the first Norman king of England. The Norman royal dynasty ruled for many years, but they had only three patrilineal kings, hence it was believed that the House of Normandy had died out in the male line. However, William was a direct male descendant of Duke Rollo of the Normans. Rollo together with the members of the House of Boulogne and the House of Montgomery are descended from the Great Norse family of Ulvungar. The members of the Ulvungar dynasty are directly descended from the ancient inhabitants of Mesopotamia in the Fertile Crescent. The methodology followed in this work was to obtain DNA samples from living direct male descendants from the members of the Ulvungar dynasty, with well-accepted documentation to confirm their human Y-Chromosome DNA haplogroup. In this study, the test results of DNA samples obtained from living direct male descendants of the House of Montgomery, in addition to other supporting DNA samples, are analysed to confirm the human Y-Chromosome DNA haplogroup of the Norman kings of England and their families. It was found that they are positive to the human Y-Chromosome DNA haplogroup J2 (subclade J2a-L26) which can be shown to have originated in the Fertile Crescent.
In the recent decade, we have witnessed rapid developments of Information and Communications Technology (ICT). As a result, we are continuously facing changes in interconnected systems, not only considering the complexity and growth of interconnected devices, but also their functional diversity. These changes affect the impact on the security of these systems as well. That's why it is important to adapt existing SIEM (Security Information and Event Management) systems to tackle these new challenges. This paper presents a novel approach to building SIEM systems. The ARMADA platform represents a cutting-edge, scalable SIEM system that provides real-time cyber defense across diverse infrastructures, including critical government, financial, and industrial IoT sectors. This paper details ARMADA's architecture and core functionalities. ARMADA's combination of a microservices-based design, big data processing, AI-driven capabilities, and automated response provides a robust and adaptable solution that effectively addresses modern cybersecurity challenges. The system's efficiency and functionality are evaluated with the analyses of the system's response to three vector attacks.
The influence of race and ethnicity on the disparities in cancer incidence is a common topic of discussion in clinical research. Studies have found that certain populations are more likely to develop cancer than others. In the UK, researchers have identified cancer incidences while classifying their research populations into local communities mainly as White Europeans, and migrant communities such as Africans, Asians, etc. However, genetic evidence has proved that not all the Whites are indigenous people of the country. Moreover, the other major challenge in the production of cancer incident data reports has shown to be the handling of unknown ethnicity rates when assigning ethnic groups to patients. As a result, these reports are missing essential data and, when produced, are inaccurate and do not truly reflect the reality of the situation on the ground. In this paper, a novel methodology for the classification and list of the ethnic groups in the UK is proposed through classifying the ethnic groups according to the major human Y-Chromosome DNA haplogroups. One of the key benefits of this new proposed methodology is that it provides the actual racial and ethnic classification since each major human Y-Chromosome DNA haplogroup has a site of origin that has natural physical boundaries. Therefore, the proposed ethnic grouping provides the real site of origin which may not always be the country or place of birth, as well as other important data that are highly relevant especially in disease control and prevention to address diseases like cancer and pandemic outbreaks such as coronavirus disease 2019 (COVID-19).
