The Decommissioning of the Middle Class

: The euro crisis has threatened the balance of social structures, through the impoverishment of the middle class, in almost all countries of the Old Continent. This trend has not only posed a threat to social cohesion, but it also threats the very nature of the so-called Western-style Democracy. The reason for this is that there is a class that has always been a "cushion" that absorbs both the vibrations of competition and the confrontation of the social elite with the socially weak, offering the latter the ability to overcome their misery. In most capitalist economies, the middle class label is based on an economic definition that is largely based on a lifestyle that is based on a certain economic robustness and endurance. With the deepening of the crisis, however, the diversity of the middle class not only has it been jeopardized, but rather, it has gradually been replaced by a new demographic category called the prekariat. This new category consists of a group of people once in the middle class and currently marginalized. All of this leads to generalized uncertainty and totally unstable political attitudes, with intense mobility at the extremes. The rapid rise of right and left-wing populism is an aspect of the threatened subjugation of the middle class strata. The consequences for societies when their layered center is lost are obvious and significant

Identification and categorization of Refugees' Integration Prospects in the Greek Socio-Economic System: Case Study in Mytilene and Crete Islands

The refugee problem, which Greece faces since 2015, comprise one of the key challenges for policymakers in terms both of immediate measures to protect refugees in host centers and of the prospects for their smooth integration into the socio-economic system. The research project entitled "Detection and classification of perspectives for the inclusion of refugees in the Greek production system. Case study in Crete and Mytilene", in which this paper is based, focuses on these perspectives. Therefore, within the framework of the triangular research process which was followed, quantitative research through a structured questionnaire was conducted to refugees in the selected area of ​​Mytilene, which has received huge refugee inflows since 2015 and still has a significant refugee population in the host centers. In a second phase, the dimensions, prospects, shortcomings and barriers on the integration of refugees into the labor market were explored through semi-structured interviews in Crete and Mytilene with entrepreneurs and social partners’ representatives (75 interviews in each island). The selection of these two geographical areas was carried out in order to investigate the different dimensions and potential opportunities for integration, as long as Mytilene has received extensive refugee inflows while Crete has not received refugee flows and is an appropriate field of entrepreneurship and potential integration of refugees in the production process. Furthermore, 40 narrative interviews were conducted in Crete with “old” integrated refugees and immigrants in order to investigate the problems and challenges they faced during their integration process and the conditions for current refugees in terms of integration. This research is expected to provide useful material for constructing intervention and incentive directions, benefiting refugees’ social integration and the evolvement of their social and human capital

A survey on cyber risk management for the Internet of Things

The Internet of Things (IoT) continues to grow at a rapid pace, becoming integrated into the daily operations of individuals and organisations. IoT systems automate crucial services within daily life that users may rely on, which makes the assurance of security towards entities such as devices and information even more significant. In this paper, we present a comprehensive survey of papers that model cyber risk management processes within the context of IoT, and provide recommendations for further work. Using 39 collected papers, we studied IoT cyber risk management frameworks against four research questions that delve into cyber risk management concepts and human-orientated vulnerabilities. The importance of this work being human-driven is to better understand how individuals can affect risk and the ways that humans can be impacted by attacks within different IoT domains. Through the analysis, we identified open areas for future research and ideas that researchers should consider

Morphological, Physiological and Metabolomic Response of transgenic tobacco plants (N. tabacum L.) overexpressing GmGSTU4 under Drought Stress

GSTs appear to have a significant role in plants’ adaptation under abiotic stress as many isoenzymes are found to be differentially expressed under these conditions yet, little is known about the regulatory functions of GSTs. Wild type and transgenic tobacco plants over-expressing the soybean GmGSTU4 of cultivars Basmas, Burley and Virginia were grown in vitro under 100 and 200mM mannitol or in soil (plant pots) by withholding watering for 15 days. However, GmGSTU4 plants did not exhibit significant differences in drought tolerance compared to wild-type plants. Morphological (shoot length, total and root fresh weight) and physiological (chlorophyll content, relative water content and photosynthetic capacity) parameters of transgenic plants did not differ from the wild-type in the presence of 100 or 200mM mannitol or in the soil when watering was halted. Metabolite profiling was used to understand the dynamics between the wild-type and transgenic tobacco response to drought stress. Different metabolic pathways are involved in production of osmoprotectants. These molecules accumulate in plants under stress conditions as adaptive mechanism, which can provide stress tolerance. GmGSTU4 plants did not exhibit difference in drought tolerance compared to wild-type plants, however metabolomics analysis indicated alterations in metabolite profile and increased concentration of sorbitol, glycerol and pyruvic acid. In conclusion, overexpression of GmGSTU4 in transgenic plants did not affect their drought stress tolerance although it has altered their metabolite profile possible because of diverse effects on plant stress tolerance mechanism

Dynamic decision support for resource offloading in heterogeneous internet of things environments

Computation offloading is one of the primary technological enablers of the Internet of Things (IoT), as it helps address individual devices' resource restrictions. In the past, offloading would always utilise remote cloud infrastructures, but the increasing size of IoT data traffic and the real-time response requirements of modern and future IoT applications have led to the adoption of the edge computing paradigm, where the data is processed at the edge of the network. The decision as to whether cloud or edge resources will be utilised is typically taken at the design stage based on the type of the IoT device. Yet, the conditions that determine the optimality of this decision, such as the arrival rate, nature and sizes of the tasks, and crucially the real-time condition of the networks involved, keep changing. At the same time, the energy consumption of IoT devices is usually a key requirement, which is affected primarily by the time it takes to complete tasks, whether for the actual computation or for offloading them through the network. Here, we model the expected time and energy costs for the different options of offloading a task to the edge or the cloud, as well as of carrying out on the device itself. We use this model to allow the device to take the offloading decision dynamically as a new task arrives and based on the available information on the network connections and the states of the edge and the cloud. Having extended EdgeCloudSim to provide support for such dynamic decision making, we are able to compare this approach against IoT-first, edge-first, cloud-only, random and application-oriented probabilistic strategies. Our simulations on four different types of IoT applications show that allowing customisation and dynamic offloading decision support can improve drastically the response time of time-critical and small-size applications, and the energy consumption not only of the individual IoT devices but also of the system as a whole. This paves the way for future IoT devices that optimise their application response times, as well as their own energy autonomy and overall energy efficiency, in a decentralised and autonomous manner

A First Case Study of CCN Concentrations from Spaceborne Lidar Observations

We present here the first cloud condensation nuclei (CCN) concentration profiles derived from measurements with the Cloud-Aerosol Lidar with Orthogonal Polarization (CALIOP) aboard the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO), for different aerosol types at a supersaturation of 0.15%. CCN concentrations, along with the corresponding uncertainties, were inferred for a nighttime CALIPSO overpass on 9 September 2011, with coincident observations with the Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 research aircraft, within the framework of the Evaluation of CALIPSO’s Aerosol Classification scheme over Eastern Mediterranean (ACEMED) research campaign over Thessaloniki, Greece. The CALIPSO aerosol typing is evaluated, based on data from the Copernicus Atmosphere Monitoring Service (CAMS) reanalysis. Backward trajectories and satellite-based fire counts are used to examine the origin of air masses on that day. Our CCN retrievals are evaluated against particle number concentration retrievals at different height levels, based on the ACEMED airborne measurements and compared against CCN-related retrievals from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors aboard Terra and Aqua product over Thessaloniki showing that it is feasible to obtain CCN concentrations from CALIPSO, with an uncertainty of a factor of two to three

Sleep disordered breathing from preschool to early adult age and its neurocognitive complications: A preliminary report

Objective: The onset and development of sleep disordered breathing (SDB) remains unclear in an age - dependent manner. Despite treatment, persistent symptoms such as snoring and excessive daytime sleepiness, as well as cognitive impairment may be present. The aim of the research was to determine the prevalence of residual symptoms of SDB in adolescence and early adulthood, the predisposing factors and its neurocognitive complications. Methods: In the present pilot study-cohort, a questionnaire was utilized to 154 people (average age: 17.9 ± 3), who as children (mean age: 5.3 ± 1.4) had AHI ≥2.5 episodes/h. They were divided into two groups based on AHI = 5 episodes/h. Depending on the results, they were invited to undergo a repeated polysomnography (PSG) and complete the Montreal Cognitive Assessment (MoCA) test. Statistical analysis was made with IBM SPSS software. Results: Out of the total, 35.7% claimed to still snore. AHI was negatively correlated to the severity of residual symptoms (Mann-Witney U test, p <0.005). According to repeated PSGs, 9/17 met the criteria for OSAS, while high BMI was associated with the severity of new AHI (chi squared test, p<0.005). Additionally, 7/16 scored below the MoCA baseline (<26/30). The characteristics of cognitive declines were mapped, with most prominent having been visuospatial, short - term memory and naming/language deficits. Discussion: A significant percentage of children with sleep breathing disorder present with residual symptoms during their transition to early adulthood, as well as undiagnosed neurocognitive complications. Clinicians suspicion for the underlying neurocognitive complications is required, even in young adults, while guidelines on monitoring pediatric OSAS patients after treatment should be addressed

Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP

We present a 3-D climatology of the desert dust distribution over South and East Asia derived using CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observation) data. To distinguish desert dust from total aerosol load we apply a methodology developed in the framework of EARLINET (European Aerosol Research Lidar Network). The method involves the use of the particle linear depolarization ratio and updated lidar ratio values suitable for Asian dust, applied to multiyear CALIPSO observations (January 2007-December 2015). The resulting dust product provides information on the horizontal and vertical distribution of dust aerosols over South and East Asia along with the seasonal transition of dust transport pathways. Persistent high D_AOD (dust aerosol optical depth) values at 532 nm, of the order of 0.6, are present over the arid and semi-arid desert regions. Dust aerosol transport (range, height and intensity) is subject to high seasonality, with the highest values observed during spring for northern China (Taklimakan and Gobi deserts) and during summer over the Indian subcontinent (Thar Desert). Additionally, we decompose the CALIPSO AOD (aerosol optical depth) into dust and non-dust aerosol components to reveal the non-dust AOD over the highly industrialized and densely populated regions of South and East Asia, where the non-dust aerosols yield AOD values of the order of 0.5. Furthermore, the CALIPSO-based short-term AOD and D_AOD time series and trends between January 2007 and December 2015 are calculated over South and East Asia and over selected subregions. Positive trends are observed over northwest and east China and the Indian subcontinent, whereas over southeast China trends are mostly negative. The calculated AOD trends agree well with the trends derived from Aqua MODIS (Moderate Resolution Imaging Spectroradiometer), although significant differences are observed over specific regions.Peer reviewe

Sol–Gel Synthesis and Characterization of YSZ Nanofillers for Dental Cements at Different Temperatures

From MDPI via Jisc Publications RouterHistory: accepted 2021-10-26, pub-electronic 2021-10-29Publication status: PublishedFunder: The project is co-financed by Greece and the EuropeanUnion (European Social Fund-ESF) by the Operational Program Human Resources Development,Education and Lifelong Learning 2014–2020.; Grant(s): MIS5047876Background: Yttria-stabilized zirconia nanoparticles can be applied as fillers to improve the mechanical and antibacterial properties of luting cement. The aim of this study was to synthesize yttria-stabilized zirconia nanoparticles by the sol–gel method and to investigate their composition, structure, morphology and biological properties. Methods: Nanopowders of ZrO2 7 wt% Y2O3 (nY-ZrO) were synthesized by the sol–gel method and were sintered at three different temperatures: 800, 1000 and 1200 °C, and their composition, size and morphology were investigated. The biocompatibility was investigated with human gingival fibroblasts (hGFs), while reactive oxygen species (ROS) production was evaluated through fluorescence analysis. Results: All synthesized materials were composed of tetragonal zirconia, while nanopowders sintered at 800 °C and 1000 °C additionally contained 5 and 20 wt% of the cubic phase. By increasing the calcination temperature, the crystalline size of the nanoparticles increased from 12.1 nm for nY-ZrO800 to 47.2 nm for nY-ZrO1200. Nano-sized particles with good dispersion and low agglomeration were received. Cell culture studies with human gingival fibroblasts verified the nanopowders’ biocompatibility and their ROS scavenging activity. Conclusions: the obtained sol–gel derived nanopowders showed suitable properties to be potentially used as nanofillers for dental luting cement