Learning for Democracy: Experiential learning of EU as a tool for European citizenship and democratic values awareness

Undoubtedly, the modern democratic framework of higher education has to cultivate students' relevant skills such as democratic participation, cooperation, taking responsibility, strengthen trust in public institutions and constitutions, freedom of expression and decision-making, as prerequisites for future's active citizens. Exactly these goals are advancing in the student communities, the function of which has continuously served the principle of democratic representation. Therefore, through the understanding of learning as a social activity and a vehicle of innovation and productivity in society, we may conclude that higher education can be - and should be a multilevel way for social cohesion and promotion of democratic values by preparing students to be active citizens. The main aim of this paper is to assess the role of higher education in the current challenging circumstances, in the context of addressing new and old problems while fostering fairness, diversity and social inclusion, broadly, democracy and social cohesion. The paper will analyze the importance of higher education institutions in order to achieve that goals, by focusing on the usage of a combination of diverse and innovative methods and new technologies but without undermining academic and institutional integrity. A case study of an EU institution simulation will also be analyzed in order to show the importance of such actions and alternative ways of learning for achieving the enforcement of active citizens. The analysis will lead to policy proposals for integrating new methods to fundamental academic values in the current context in order to foster democracy and social cohesion

Covid-19 has brought back the necessity of the welfare state: The Greek case

In Europe, despite systemic, functional and structural differences, the welfare state has been a key component of the state after World War II. In recent decades, the former has been accused for inflating government spending and turning people into passive recipients of benefits and services. For this reason, and for several more, such as globalization, the transforming nature of employment and the changing family patterns, the welfare state has undergone the necessary reforms in order to combine the effectiveness and efficiency of its services and benefits. The outbreak of 2009 economic crisis has created tremendous problems to the welfare state, especially in the hardest hit countries, such as Greece. Although these structural problems and inefficiencies existed, the Greek state in general and the National Health System (NHS) in particular have handled the coronavirus successfully, making the country an example for the others but also stressing the necessity to consolidate the welfare state and specifically the NHS. This paper aims to analyze the way the Greek state handled the coronavirus crisis while underlie the importance of the welfare state especially in times of crisis and the challenges that coronavirus has created

The contribution of CSR during the covid-19 period in Greece: A step forward

The spread of the Covid-19 brought global institutions, societies, states and economies in a critical position as they encounter a new worldwide multilevel crisis. At the same time, states have had to handle this crisis acquiring an interventionist role, protecting the social and economic cohesion, providing better health care services for their citizens and investing in scientific research, as a means to restrict this new pandemic. In order to handle that situation and its consequences, the use of all the available resources became necessary as well as the improvement of the cooperation between the private and the public sector. In Greece private sector has shown an unprecedented willingness for Greece’s CSR tradition, to contribute government’s efforts

AI and Big Data: A New Paradigm for Decision Making in Healthcare

The latest developments in artificial intelligence (AI) - a general-purpose technology impacting many industries - have been based on advancements in machine learning, which is recast as a quality-adjusted decline in forecasting ratio. The influence of Policy on AI and big data has impacted two key magnitudes which are known as diffusion and consequences. And these must be focused primarily on the context of AI and big data. First, in addition to the policies on subsidies and intellectual property (IP) that will affect the propagation of AI in ways close to their effect on other technologies, three policy categories - privacy, exchange, and liability - may have a specific impact on the diffusion of AI. The first step in the prohibition process is to identify the shortcomings of current hospital procedures, why we need acute care AI, and eventually how the direction of patient decision-making will shift with the introduction of AI-based research. The second step is to establish a plan to shift the direction of medical education in order to enable physicians to retain control of AI. Medical research would need to rely less on threshold decision-making and more on the prediction, interpretation, and pathophysiological context of contextual time cycles. This should be an early part of a medical student's education, and this is what their hospital aid (AI) ought to do. Effective contact between human and artificial intelligence includes a shared pattern of focused knowledge base. Human-to-human contact protection in hospitals should lead this professional transformation process

AI transforming Healthcare Management during Covid-19 pandemic

The dawn of artificial intelligence (AI) as a platform for improved health care provides unparalleled opportunity to enhance patient and clinical team performance, minimize costs, and reduce the health effects of the community. It provides a broad description of the legal and legislative context of the AI tools intended for the implementation of health care; highlights the need for equality, accessibility, the need for a human rights goal for the work; and identifies important factors for further advancement. AI framework describes the obstacles, drawbacks, and best practices for AI development, adoption, and management. It brings in a paradigm shift to healthcare, driven by rising clinical data access and rapid advancement in analytical techniques. Artificial Intelligence (AI) is going to revolutionize the practice of medicine and change the delivery of healthcare. This paper discusses the role of artificial intelligence in the advancement of health care and associated fields. It also discusses, the value of artificial intelligence in various healthcare sectors' transformation

Immigration in the Eastern Mediterranean as a European Challenge: The Role of Greece and the Necessity for a Common European Immigration and Foreign Policy

Immigration and refugee flows in the Eastern Mediterranean migration path have been increased since 2015, thus, creating the need for coordinated political reaction from the European Union. Some actions have been achieved, such as the EU-Turkey agreement but their effectiveness is contested, while the burden is mainly shared by the Mediterranean EU member states. At the same time, the challenges for all European countries in terms of refugees integration is becoming more and more eminent, due to the continuing immigration flows to the EU. This article analyses two basic parameters on the necessity of coordinated European policy both in the fields of immigration policy and foreign policy towards the stabilization in the Eastern Mediterranean, mainly by focusing on the role of Greece

Genotyping of Coxiella burnetii in sheep and goat abortion samples

Abstract Background Q fever, caused by Coxiella burnetii, is a zoonosis that presents a worldwide distribution and affects both humans and animals. The route of dispersal of the pathogen by ruminants into the environment usually involves stages of abortion and parturition, nevertheless the agent can, also, be detected in other animal samples. Therefore it is considered as important in terms of proper diagnosis, as well as, for epidemiology and surveillance purposes, to genotype the pathogen. The aim of the current study was to investigate the presence of different genotypes of the agent in animals that had suffered from abortion during a two-year survey in Greece. Results Sixty nine tissue samples (37 stomach contents, 11 liver samples, 21 cotyledons) were collected from 59 abortion cases in sheep (N = 45) and goats (N = 14) from 65 farms at eight different areas of Greece. Samples were screened by qPCR and positive ones were further genotyped using a 10-locus multiple loci (ms 1, 3, 7, 12, 20, 21, 22, 26, 30 and 36) variable number of tandem repeat analysis (MLVA) method. Three genotypes were identified in sheep (A, B, C). Samples representing each of the obtained MLVA profile were further used for MST genotyping. Ten spacers (Cox 2, 5, 6, 18, 20, 22, 37, 51, 56 and 57) were amplified. A close relatedness among the identified MLVA genotypes was confirmed since they all belonged to MST group 32. Conclusions The current study introduces into the aspect of genotyping of C. burnetii in Greece. Further studies are needed to explore the presence of more genotypes, to associate the genotypes circulating in the animal and tick population with those causing human disease in order to further expand on the epidemiological aspects of the pathogen

Phenotypic and Molecular Patterns of Resistance among Campylobacter coli and Campylobacter jejuni Isolates, from Pig Farms

The purpose of this research was to characterize the antibiotic resistance patterns of Campylobacter spp. isolated from commercial farrow to finish farms in Greece, and analyze the relevant molecular resistance mechanisms among the resistant Campylobacter isolates. Susceptibility testing to five different classes of antibiotics was performed in 100 C. coli and 100 C. jejuni, previously isolated and identified. All isolates were found susceptible to meropenem. Very high rates of resistance were recorded for tetracyclines (84.5%), medium rates of resistance were recorded regarding quinolones (23%), and low and very low rates of resistance were identified for macrolides such as erythromycin and aminoglycosides (12% and 4%, respectively). Only 12.5% of the Campylobacter isolates displayed MDR. Regarding the molecular mechanisms of resistance, all ciprofloxacin resistant isolates hosted the mutant type Thr-86-Ile region of the quinolone resistance-determining region (QRDR) of the gyrA gene. In all erythromycin resistant isolates, the transitional mutations A2075G and A2074C in the 23S rRNA gene were only amplified. Molecular screening of tetracycline resistance genes indicated that the vast majority of Campylobacter isolates (92.3%) were positive for the tet(O) gene. In summary, these findings and especially the very high and medium rates of resistance for tetracyclines and fluroquinolones, respectively recommend that a continuous monitoring of Campylobacter isolates susceptibility in combination with the proper use of antimicrobials in livestock production is of great importance for public health

Prevalence of Antibiotic Resistant <i>E. coli</i> Strains Isolated from Farmed Broilers and Hens in Greece, Based on Phenotypic and Molecular Analyses

The use of antimicrobials is beneficial for livestock health; however, their overuse and misuse may increase resistance to these compounds. Thus, the aim of the present study was the phenotypic and molecular examination of the presence of Escherichia coli antibiotic-resistant strains in broiler and laying hen farms. The resistance of E. coli strains was examined against various antibiotics, including several families of compounds such as penicillin class medications (ampicillin), cephalosporins (cefotaxime, cefoxitin, cefpodoxime and ceftazidime), sulfonamides (co-trimoxazole), quinolones (enrofloxacin and nalidixic acid), aminoglycosides (gentamicin), β-lactams (imipenem), aminoglycoside (streptomycin), and polymyxin (colistin). In total, 106 strains were investigated, sampled during the years 2016–2019 from 91 poultry farms, including 75 broiler farms and 16 laying hen farms, originating from three Regional Units in Greece. The examined isolates revealed the highest resistance rates to sulfamethoxazole (81.1%), nalidixic acid (73.6%), tetracyclin (70.8%), and streptomycin (70.8%). On the other hand, the resistance of the isolates to third generation cephalosporins was found to be at lower levels for ceftazidime (2.8%), ceftriaxone (3.7%) cefoxitin (4.7%), and cefotaxime (4.7%). Phenotypic tests showed that 13.6% and 10.2% of the isolates produced ESBL, while 2.7% and 1% produced AmpC b-lactamase, for broiler and laying hens, respectively. The prevalence of the mcr-1 gene was found to be 22.7%, detected only in broiler isolates. Based on our results, E. coli antibiotic resistance represents a critical control point in poultry production that, apart from farm animals, may affect public health as well