SUMMARY Providing in-patient nursing care inevitably involves shift work and shift patterns have been identified as an important factor in determining well-being and satisfaction among nurses. Shifts of 12 h or longer have become increasingly common for nurses in hospitals in some European countries. Longer shifts offer a potential to benefit from a compressed working week, with fewer work days and more days off-work, lower commuting costs, and increased flexibility. Most people find shift work less desirable compared to standard working hours. A cross-sectional cohort study was conducted at the Mostar University Hospital in 2019. A total of 157 subjects participated in the study, 22 (14%) of which were male (medical technicians) and 135 (86%) female (nurses). The mean age of study subjects was 33.3 years (min=20, max=54, SD=8.033). Results of this study suggested that nurses working irregular rotating shifts, with more family members to look after and more than 18 years of professional experience were affected by sleep disturbances between shifts. The study showed that shift work nurses had significantly higher levels of cortisol and prolactin compared with first-shift nurses/medical technicians. The results of this study are expected to stimulate further studies of sleep disturbances among shift nurses.

Abstract Infections with various bacteria, especially gram-negative aerobes, are a well-recognized problem in captive cold-blooded animals with immunocompromised health status, or in those kept under poor conditions. Pseudomonas is one of the most represented genera. Here, we present a case of fatal disseminated infection caused by Pseudomonas aeruginosa in a captive green iguana kept at the “Pionirska dolina” Zoo in Sarajevo, Bosnia and Herzegovina. At necropsy, severe stomatitis, pneumonia, hepatitis and nephritis, accompanied with focally extensive dermatitis were observed. Histopathology revealed multifocal necrosis in various visceral organs. Culture and subsequent MALDI-TOF MS analysis were conducted to identify the isolate as P. aeruginosa. Antimicrobial susceptibility testing revealed a wide susceptibility of the isolate, however applied therapy was instilled too late in the presented case. This case demonstrates the significance of timely and accurate identification, and antimicrobial susceptibility testing of bacterial isolates implicated in the pathology of captive reptiles. The importance of monitoring the adequate environmental conditions (enclosure temperature, humidity and conformation), health status and possible clinical signs of illness are highlighted.

Fiscal sustainability should be defined in the relation between public finances and sustainable economy. It requires a fiscal policy aimed not only at a fiscal balance, but also at the well-being of future generations, while taking the economic, social, environmental and institutional dimensions into account. The objective of this paper is to examine the relationship between fiscal sustainability and efficiency on the example of large cities in Poland in the period from 2008 to 2019. In order to obtain empirical results, a data envelopment analysis and panel data analysis were applied, and a fiscal sustainability index was constructed by means of a multidimensional approach. Based on a sample of 66 large cities in Poland, the results showed that there is a negative relationship between fiscal sustainability and efficiency. These results, however, relate to a specific period in the history of Polish cities when the local debt limits were tightened. The improvement in efficiency allowed local government units to allocate saved local expenditures to the partial repayment of previously incurred local debts. By doing so, Polish cities fulfilled tightened fiscal rules, but their service-level solvency decreased.

Introduction and Objectives: There have been concerns with the level of misinformation regarding coronavirus disease 2019 (COVID-19) and its treatment, drug shortages, as well as increased use and prices of anti-malarials, antibiotics and hygiene products during the recent pandemic. Community pharmacists can play a significant role in disease prevention and treatment in the fight against COVID-19 including providing hygiene information and medicine availability across Africa and generally. Consequently, there is a need to review the role of community pharmacists in preventing unintended consequences during any pandemic as well as the impact of COVID-19 on the demand, availability and prices of suggested medicines for its management. Materials and Methods: Multiple approaches involving a qualitative review of the management of COVID-19 across countries coupled with a pilot study in Ghana among six purposely selected community pharmacists during the early stages of the pandemic assessing patterns of demand, availability and prices of medicines suggested for the management of COVID-19. Alongside this, pharmacists' future role enhancing appropriate medicine use in Ghana and wider combined with the help of senior level co-authors. Results: The majority (five out of six) of pharmacists in Ghana reported increased demand for hydroxychloroquine, antibiotics and vitamins as immune boosters resulting in shortages with price increases particularly for anti-malarials. Conclusion: The global lockdown had impacted on the supply and prices of medicines in Ghana similar to other countries. Community pharmacists can play a key role with encouraging safe medicine use, reducing self-purchasing of medicines and planning workflows during future pandemics including vaccinations. They can also help address potential misinformation and its consequences as well as the unintended consequences of pandemics including better management of non-communicable diseases.

Abstract The author analyses the discourse about Kosovo in Bosnia and Herzegovina (BiH) during the 1980s. During these years, Serbian media developed several stereotypes to discredit the political leaders of BiH and accuse them of fomenting unrest in Kosovo. The author assesses these stereotypical depictions as well as the response of the Islamic Community and political leadership in BiH to these accusations. He asks what the attitude of Serbia’s political elite towards BiH was, and what role the Serbian political leadership played in the media attacks. He then investigates the evolution of the BiH leadership’s stances towards the events in Kosovo between the beginning and the end of the 1980s. And finally, through a close reading of session minutes and media, he assesses the increasingly deviating views of the BiH political leaders vis-á-vis the situation in Kosovo.

With everyday advances in the field of pharmaceuticals, medicinal plants have high priority regarding the introduction of novel synthetic compounds by the usage of environmentally friendly extraction technologies. Herein, a supercritical CO2 extraction method was implemented in the analysis of four plants (chamomile, St. John’s wort, yarrow, and curry plant) after which the non-targeted analysis of the chemical composition, phenolic content, and antioxidant activity was evaluated. The extraction yield was the highest for the chamomile (5%), while moderate yields were obtained for the other three plants. The chemical composition analyzed by gas chromatography-high-resolution mass spectrometry (GC-HRMS) and liquid chromatography-high-resolution mass spectrometry (LC-HRMS) demonstrated extraction of diverse compounds including terpenes and terpenoids, fatty acids, flavonoids and coumarins, functionalized phytosterols, and polyphenols. Voltammetry of microfilm immobilized on a glassy carbon electrode using square-wave voltammetry (SWV) was applied in the analysis of extracts. It was found that antioxidant activity obtained by SWV correlates well to 1,1-diphenyl-2-picrylhidrazine (DPPH) radical assay (R2 = 0.818) and ferric reducing antioxidant power (FRAP) assay (R2 = 0.640), but not to the total phenolic content (R2 = 0.092). Effective results were obtained in terms of activity showing the potential usage of supercritical CO2 extraction to acquire bioactive compounds of interest.

Abstract This paper seeks to empirically explore how an international financial integration influences a country’s GDP growth. The long run relationship is tested by PMG estimator for the sample of ten EU countries from Central, Eastern and Southeastern Europe (CEE-10 countries) between 1995 and 2017. Prior to the conducting of dynamic panel analysis based on PMG estimators, several panel unit root tests were conducted, as well as panel co integration tests. The findings offer mixed impact financial integration on growth. Among the measures of financial integration, growth of the CEE-10 countries is mostly driven in the long run by FDI inflows as well as remittances and financial openness. On the contrary, the study suggests a reversal relationship between growth and financial integration measured by Gross Foreign Assets and Liabilities in percentages of GDP. It might be explained with a fact that CEE-10 countries have not yet reached a certain level of financial development in order to benefit from financial integration. The study concludes that international financial integration does not per se enhance economic growth and country’s growth in the CEE-10 countries can be reached at a higher level of financial integration, further increase their financial openness and financial development.

The mesiodens is the most frequent type of supernumerary tooth which can appear in the maxillary midline area. The etiology of mesiodentes is not fully understood. This report shows a case of incomplete fusion of an unerupted mesiodens with a permanent maxillary central incisor, aligned in the dental arch. Intraoral and radiographic examinations indicated fusion of the crown and cervical part of the root of the supernumerary tooth with the permanent incisor. The clinical situation was further complicated by the presence of another supernumerary tooth located palatally. The treatment approach has included two phase surgical therapy to extract the supernumerary teeth. Early diagnosis and appropriate surgical treatment of mesiodentes are important to decrease the risk of clinical complications. Pre-operative 3D imaging is strongly advisable since it allows accurate data to be obtained, and reduces the extent of surgery and the possibility of procedural complications. In most cases, a multidisciplinary collaboration is necessary for precise diagnosis and predictable treatment outcome.

Background: The aim of this study was to identify the risk factors associated with falling in post stroke patients. Methods: This retrospective case-control study included 561 neurology patients hospitalized for a stroke and divided into two groups: falling patients and non-falling patients. They referred to the Special Hospital for Cerebrovascular Diseases “Sveti Sava” in Belgrade, Serbia, from 2018–2019. Logistic regression analysis was applied to examine socio-economic factors associated with predictors of unmet healthcare needs. Results: A significant difference was seen in the length of hospitalization of falling patients compared to the non-falling (P<0.001). We established statistically significant differences in mental status (P<0.001), sensibility (P=0.016), depressed mood (P<0.001), early (P=0.001) and medium insomnia (P=0.042), psychomotor slowness (P=0.030), somatic anxiety (P=0.044) and memory (P<0.001). Conclusion: Cerebrovascular disease distribution and the degree of neurological deficit primarily altered mental status, which could be recognized as one of the more important predictors for falling after stroke. The identification of risk factors may be a first step toward the design of intervention programs for preventing a future fall among hospitalized stroke patients.

Malware traffic classification (MTC) is a key technology for solving anomaly detection and intrusion detection problems. And hence it plays an important role in the field of network security. Traditional MTC methods based on port, payload and statistic depend on the manual-designed features, which have low accuracy. Recently, deep learning methods have attracted significant attention due to their high accuracy in terms of classification. However, in practical application scenarios, deep learning methods require a large amount of labeled samples for training, while the available labeled samples for training are very rare. Furthermore, the preparation of a large amount of labeled samples requires a lot of labor costs. To solve these problems, this paper proposes two methods based on semi-supervised learning (SSL) and transfer learning (TL), respectively. Our proposed methods use a large amount of unlabeled data collected in the Internet traffic, which can greatly improve the accuracy classification with few labeled samples. Through experiments, we obtained the best method to improve the accuracy of few labeled samples in different situations. Experiment results show that our proposed methods can satisfy the requirement of MTC in the case of few labeled samples.