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This study aims to examine the ability of an extended, with past behaviour, Theory of Planned Behaviour (TPB) model to explain Greek young consumersâ (generation Y) intentions to purchase online ecological personal care products (EPCPs). In addition, an effort was made to examine the moderating role of health consciousness in the structural relationships of the extended TPB model. An electronic survey was conducted in the region of Central Macedonia, Greece and the quota sampling resulted in 1,676 usable questionnaires. The results indicate that perceived behavioural control has a stronger effect on consumersâ intentions to purchase EPCPs, followed by past behaviour, subjective norms and attitudes. Moderation analysis revealed that Health Consciousness strengthens the structural relationship between attitudes and intentions while it weakens the structural relationship between subjective norms and intentions, explaining almost 20% more of the variance in consumers' intentions to purchase online ecological personal care products.

As most of the sectors of the world economy, tourism has also been affected by the global economic crisis and the resulting social redeployment. This global socio-economic situation, since 2010, has exerted additional pressure on the mental health and physical condition of people who are increasingly looking for new ways of relaxation and rejuvenation. The present study aims to investigate the impact of the current socio-economic crisis on the behavior and attitude of Greek wellness tourists. Quantitative research was conducted using a structured questionnaire on a sample size of 452 wellness tourists in totally 10 spas at Crete, Kos, Lefkada and Thessaloniki. The survey compared the spending behavior of respondents before 2010 and today. The findings of the survey show that although the behavior of Greeks as consumers is being negatively affected by the economic downturn, there is positive intention to continue using and spending on wellness services. In addition, results indicate the existence of positive attitude towards wellness tourism as a means of health promotion and enhancement. Proposals for further research are suggested.

Nikolaos Spantideas,1 Eirini Drosou,1 Anastasia Bougea,2 Dimitrios Assimakopoulos,3 1Athens Speech Language and Swallowing Institute, Glyfada, Athens, Greece; 2Athens Speech Language and Swallowing Institute, Agios Dimitrios, Athens, Greece; 3Department of Otorhinolaryngology, Medical School of Ioannina University, University Hospital of Ioannina, Ioannina, Greece Background and aims: Population-based data regarding the prevalence of gastroesophageal reflux disease (GERD) in Greece are very poor. This study estimated the prevalence of GERD symptoms and their risk factors in the Greek adult population.Methods: A self-administered questionnaire was answered by a randomly selected population of 340 subjects. The question regarding “heartburn, chest pain, indigestion, or stomach acid coming up” as included in the Reflux Symptom Index was used for prevalence assessment.Results: The monthly prevalence of GERD symptoms was found to be 52.0% in the Greek general population, with no statistically significant difference between the two sexes (P>0.05). The age group of 65–79 years showed a higher prevalence rate of GERD. Symptom severity was found to be mild (59.3%) or moderate (27.1%). The number of cigarettes smoked daily (but not smoking duration) as well as the number of alcoholic drinks consumed daily (but not the duration of alcohol drinking) were found to be related to GERD symptoms. No reported concomitant disease or medication was found to be related with GERD symptoms.Conclusion: The prevalence of GERD symptoms in the Greek general population was found to be 52.0%. Tobacco smoking and alcohol drinking but not concomitant disease or medications were found to be related with GERD symptoms. Keywords: gastroesophageal reflux, reflux, epidemiologic study, risk factors

The existing air pollution monitoring network in the Attica basin, overseen by the Ministry of the Environment (MEEN) consists of certified and high-cost sensors, and consequently is not dense enough. At the same time, it offers no easily accessible information to the citizens or representative data on population exposure. Low cost IoT sensors present a solution to the density issue, even though Quality Assurance/Quality Control (QA/QC) is required to ensure accuracy of their measurements, but face challenges related to their deployment. Within that frame, the Smart Stations were developed by the FAIRCITY (ATTP4-0360457) project aiming to bridge Smart City Services (e.g., free internet, information, wheelchair/devices charging) with continuous air quality monitoring and exposure assessment. The smart info-kiosk benches powered by sunlight (manufactured by a Greek Innovation Company) were thus employed where low cost IoT sensors were embedded, offering a unique opportunity to monitor air quality at the level where citizens live. This endeavor faced several challenges related to the design of smart stations, the network, the information to be conveyed to the public and the scientific value of the data collected.

Coronavirus disease 2019 (COVID-19) is caused by the novel severe acute respiratory coronavirus-2 (SARS-CoV-2). Several explanations for the development of cardiovascular complications during and after acute COVID-19 infection have been hypothesized. The COVID-19 pandemic, caused by SARS-CoV-2, has emerged as one of the deadliest pandemics in modern history. The myocardial injury in COVID-19 patients has been associated with coronary spasm, microthrombi formation, plaque rupture, hypoxic injury, or cytokine storm, which have the same pathophysiology as the three clinical variants of Kounis syndrome. The angiotensin-converting enzyme 2 (ACE2), renin-aldosterone system (RAAS), and kinin-kallikrein system are the main proposed mechanisms contributing to cardiovascular complications with the COVID-19 infection. ACE receptors can be found in the heart, blood vessels, endothelium, lungs, intestines, testes, neurons, and other human body parts. SARS-CoV-2 directly invades the endothelial cells with ACE2 receptors and constitutes the main pathway through which the virus enters the endothelial cells. This causes angiotensin II accumulation downregulation of the ACE2 receptors, resulting in prothrombotic effects, such as hemostatic imbalance via activation of the coagulation cascade, impaired fibrinolysis, thrombin generation, vasoconstriction, endothelial and platelet activation, and pro-inflammatory cytokine release. The KKS system typically causes vasodilation and regulates tissue repair, inflammation, cell proliferation, and platelet aggregation, but SARS-CoV-2 infection impairs such counterbalancing effects. This cascade results in cardiac arrhythmias, cardiac arrest, cardiomyopathy, cytokine storm, heart failure, ischemic myocardial injuries, microvascular disease, Kounis syndrome, prolonged COVID, myocardial fibrosis, myocarditis, new-onset hypertension, pericarditis, postural orthostatic tachycardia syndrome, pulmonary hypertension, stroke, Takotsubo syndrome, venous thromboembolism, and thrombocytopenia. In this narrative review, we describe and elucidate when, where, and how COVID-19 affects the human cardiovascular system in various parts of the human body that are vulnerable in every patient category, including children and athletes.

Objectives: Early case report studies and anecdotes from patients, medical colleagues, and social media suggest that patients may present to chronic pain clinics with a number of complaints post COVID-19 infection or vaccination. The aim of this study is to systematically report on a consecutive series of chronic pain patients seen in a community-based pain clinic, who acquired symptoms after COVID-19 infection or vaccination. Methods: This retrospective cross-sectional descriptive study identified all patients seen at the clinic over a 4-month period (January–April 2022) with persistent symptoms after COVID-19 infection, vaccination, or both. Information was collected on sex, gender, age, details of vaccination, new pains, or exacerbation of old pain plus the development of novel symptoms. Results: The study identified 21 community dwellers (17 females and 4 males; F/M 4.25/1; age range 22–79 years; mean age 46.3 years), with symptoms attributed to COVID-19 infection or vaccination. Several patients suffered exacerbation of previous pains or developed novel pains, as well as high levels of anxiety and mood disorders. A review of the existing literature provides support for the spectrum of symptoms displayed by the study group. Conclusions: Information collected in this study will add to the body of COVID-19-related literature and assist particularly community practitioners in recognizing and managing these conditions.

Abstract Introduction Lymphadenopathy is found in about 65% of patients with adult-onset Still’s disease and is histologically characterized by an intense, paracortical immunoblastic hyperplasia. Adult-onset Still’s disease has not been previously described as an etiology of suppurative necrotizing granulomatous lymphadenitis. Case presentation We describe a 27-year-old Greek man who manifested prolonged fever, abdominal pain, increased inflammatory markers, episodic skin rash and mesenteric lymphadenopathy histologically characterized by necrotizing granulomatous adenitis with central suppuration. Disease flares were characterized by systemic inflammatory response syndrome with immediate clinico-laboratory response to corticosteroids but the patient required prolonged administration of methylprednisolone at a dose of above 12mg/day for disease control. After an extensive diagnostic work-up, which ruled out any infectious, malignant, rheumatic or autoinflammatory disease the patient was diagnosed as having adult-onset Still’s disease. The patient is currently treated with 4mg of methylprednisolone, 100mg of anakinra daily and methotrexate 7.5mg for two consecutive days per week and exerts full disease remission for six months. Conclusion To the best of our knowledge this is the first report of suppurative necrotizing granulomatous lymphadenitis attributed to adult-onset Still’s disease. This case indicates that the finding of a suppurative necrotizing granulomatous lymphadenitis should not deter the consideration of adult-onset Still’s disease as a potential diagnosis in a compatible clinical context; however, the exclusion of other diagnoses is a prerequisite.

The CERN Neutron Time-Of-Flight (n_TOF) facility is well suited to measure low cross sections as those of neutron-induced fission in subactinides. The cross section ratios of natPb and 209Bi relative to 235U and 238U were measured using PPAC detectors and a fragment coincidence method that allows us to identify the fission events. The present experiment provides first results for neutron-induced fission up to 1 GeV. Good agreement is found with previous experimental data below 200 MeV. The comparison with proton-induced fission indicates that the limiting regime where neutron-induced and proton-induced fission reach equal cross sections is close to 1 GeV.

Infection with SARS-CoV-2 and the resulting COVID-19 can cause both lung and kidney damage. SARS-CoV-2 can directly infect renal cells expressing ACE2 receptors, resulting in kidney damage, and acute kidney injury (AKI) has been reported in COVID-19 hospitalized patients. The pathophysiology of COVID-19-associated AKI is multifactorial. Local and systemic inflammation, immune system dysregulation, blood coagulation disorders, and activation of the renin-angiotensin-aldosterone system (RAAS) are factors that contribute to the development of AKI in COVID 19 disease. COVID-19 patients with kidney involvement have a poor prognosis, and patients with chronic kidney disease (CKD) infected with SARS-CoV-2 have an increased mortality risk. CKD patients with COVID-19 may develop end-stage renal disease (ESRD) requiring dialysis. In particular, patients infected with SARS-CoV-2 and requiring dialysis, as well as patients who have undergone kidney transplantation, have an increased risk of mortality and require special consideration. Nephrologists and infectious disease specialists face several clinical dilemmas in the prophylaxis and treatment of CKD patients with COVID-19. This entry presents recent data showing the effects of COVID-19 on the kidneys and CKD patients and the challenges in the management of CKD patients with COVID-19, and discusses treatment strategies for these patients.

The growing global population demands an increase in agricultural production and the promotion of sustainable practices. Smart agriculture, driven by advanced technologies, is crucial to achieving these goals. These technologies provide real-time information for crop monitoring, yield prediction, and essential farming functions. However, adopting intelligent farming systems poses challenges, including learning new systems and dealing with installation costs. Robust support is crucial for integrating smart farming into practices. Understanding the current state of agriculture, technology trends, and the challenges in technology acceptance is essential for a smooth transition to Agriculture 4.0. This work reports on the pivotal synergy of IoT technology with other research trends, such as weather forecasting and robotics. It also presents the applications of smart agriculture worldwide, with an emphasis on government initiatives to support farmers and promote global adoption. The aim of this work is to provide a comprehensive review of smart technologies for precision agriculture and especially of their adoption level and results on the global scale; to this end, this review examines three important areas of smart agriculture, namely field, greenhouse, and livestock monitoring.

Introduction. Critically ill COVID-19 patients hospitalized in intensive care units (ICU) are immunosuppressed due to SARSCoV-2-related immunological effects and are administered immunomodulatory drugs. This study aimed to determine whether these patients carry an increased risk of multi-drug resistant (MDR) and especially carbapenem-resistant Gram-negative (CRGN) bacterial infections compared to other critically ill patients without COVID-19. Materials and Methods. A prospective case-control study was conducted between January 2022 and August 2023. The ICU patients were divided into two groups (COVID-19 and non-COVID-19). Differences in the incidence of CRGN infections from Klebsiella pneumoniae, Acinetobacter spp., and Pseudomonas aeruginosa were investigated. In addition, an indicator of the infection rate of the patients during their ICU stay was calculated. Factors independently related to mortality risk were studied. Results. Forty-two COVID-19 and 36 non-COVID-19 patients were analyzed. There was no statistically significant difference in the incidence of CRGN between COVID-19 and non-COVID-19 patients. The infection rate was similar in the two groups. Regarding the aetiological agents of CRGN infections, Pseudomonas aeruginosa was significantly more common in non-COVID-19 patients (p=0.007). COVID-19 patients had longer hospitalisation before ICU admission (p=0.003) and shorter ICU length of stay (LOS) (p=0.005). ICU COVID-19 patients had significantly higher mortality (p

Forecasters have been using various criteria to select the most appropriate model from a pool of candidate models. This includes measurements on the in-sample accuracy of the models, information criteria, and cross-validation, among others. Although the latter two options are generally preferred due to their ability to tackle overfitting, in univariate time-series forecasting settings, limited work has been conducted to confirm their superiority. In this study, we compared such popular criteria for the case of the exponential smoothing family of models using a large data set of real series. Our results suggest that there is significant disagreement between the suggestions of the examined criteria and that, depending on the approach used, models of different complexity may be favored, with possible negative effects on the forecasting accuracy. Moreover, we find that simple in-sample error measures can effectively select forecasting models, especially when focused on the most recent observations in the series.

Despite previous research claiming surveillance emerges from student evaluations of teaching (SET), there is an absence of research using surveillance theory to determine whether it emerges, the nature of the surveillance should it emerge, and how academics resist its effects. Through an analysis of four university business schools, a top-down vertical surveillance imbued with disciplinary procedures is identified, involving a few managers scrutinising many academics through the observations of many students. A bottom-up vertical surveillance is also identified, involving many academics scrutinising a few managers through the observations of many students. The similarities and differences between mystery shopping and the surveillance emerging from SET are also explored to highlight the crucial role students play in the surveillance. A further contribution is made through an analysis of how academics engage in resistance activities designed to disrupt the flow of performance information between observer and observed.

Focusing on the implementation of the 2003 UNESCO Convention for the Safeguarding of the Intangible Cultural Heritage (ICH), this article highlights the fact that the cataloging procedures, the way records are stored, and the metadata models used during the recording, visualization, and storage of ICH expression elements, vary from country to country. Especially in these days of great uncertainty, war conflicts, and systemic risks that may arise, it is vital to clarify what techniques will be used in the storage of ICH to ensure its unhindered preservation and dissemination over time across the globe. Using the systems thinking approach indicated for cases of great complexity, the process followed in Greece for depositing a new element in its local repository is described to demonstrate the need for a well-defined process by UNESCO, which must be followed worldwide, and which has not been defined so far. What are the potential challenges not only in determining the type of data, but also in choosing the best metadata model to use in each case when capturing these data? What technologies must be used for storing digital cultural heritage in such a way that will preserve it over time, defying physical and technological hazards? This article finally suggests how blockchain technologies (BT) can be effectively used to store the global ICH and ensure its continuity in future generations by creating a decentralized worldwide network between the heritage stakeholders.