Objectives Evidence on the current status of gender equity in academic rheumatology in Europe and potential for its improvement is limited. The EULAR convened a task force to obtain empirical evidence on the potential unmet need for support of female rheumatologists, health professionals and non-clinical scientists in academic rheumatology. Methods This cross-sectional study comprised three web-based surveys conducted in 2020 among: (1) EULAR scientific member society leaders, (2) EULAR and Emerging EULAR Network (EMEUNET) members and (3) EULAR Council members. Statistics were descriptive with significance testing for male/female responses assessed by χ2 test and t-test. Results Data from EULAR scientific member societies in 13 countries indicated that there were disproportionately fewer women in academic rheumatology than in clinical rheumatology, and they tended to be under-represented in senior academic roles. From 324 responses of EULAR and EMEUNET members (24 countries), we detected no gender differences in leadership aspirations, self-efficacy in career advancement and work–life integration as well as the share of time spent on research, but there were gender differences in working hours and the levels of perceived gender discrimination and sexual harassment. There were gender differences in the ranking of 7 of 26 factors impacting career advancement and of 8 of 24 potential interventions to aid career advancement. Conclusions There are gender differences in career advancement in academic rheumatology. The study informs a EULAR task force developing a framework of potential interventions to accelerate gender-equitable career advancement in academic rheumatology.

Objective. The aim of this study was to learn about the morphological characteristics of the supraorbital foramen and to determine its precise position in relation to the surrounding anatomical landmarks in the adult population of Bosnia and Herzegovina. Material and Methods. For this purpose, 60 skulls from the Bosnia and Herzegovina population of known sex (32 males and 28 females), taken from the osteological collection of the Department of Human Anatomy of the Medical Faculty in Sarajevo, were subjected to morphological and morphometric analysis. Morphometric measurements were performed using a digital vernier caliper (Mitutoyo Corporation, Japan). Results. The study showed that most supraorbital nerves exit the orbit through the supraorbital notch (73.8%) and the rest through the foramen (26.2%). Of this number, bilateral supraorbital notches were recorded in 58.33% of cases, a bilateral supraorbital foramen in 18.34% of cases, while in 23.33% of cases a notch was recorded on one side and a foramen on the contralateral side. Morphometric measurements performed to determine the exact position of the supraorbital foramen relative to the surrounding landmarks showed different values in males and females. An accessory foramen was also observed on the examined skulls in 16.67% of cases. Conclusion. Detailed knowledge of anatomical variations of the supraorbital foramen is required for safe and successful administration of regional anesthesia, in order to avoid iatrogenic nerve injuries during orbitofacial region surgery.

Background: Two-dimensional echocardiography (2DE) Simpson methods is the most frequently used imaging modality to assess Left ventricular ejection fraction (LVEF). LVEF is an important predictor of morbidity and mortality in a wide range of patients and clinical scenarios. Despite its importance in prognosis and clinical decision making, most echocardiography laboratories currently determine EF primarily by visual estimation, which is highly experience-dependent and sensitive to intra- and inter-observer variability and suboptimal accuracy and repeatability. Over the last decade, 3-dimensional echocardiography (3DE) has become increasingly implemented in clinical practice. The automated 3D HeartModelA.I. tracks every frame over the cardiac cycle using 3D speckle technology. HeartModelA.I. is a fully automated program that simultaneously detects LA and LV endocardial surfaces using an adaptive analytics algorithm that consists of knowledge-based identification of initial global shape and orientation followed by patient-specific adaptation. Objective: The objective of the study was to compare the automated 3D HeartModelA.I echocardiography and 2D Simpson methods echocardiography in evaluation of the left ventricular ejection fraction and left ventricular volumes in patients with left heart dysfunction. Methods: The study prospectively enrolled 165 patients with symptoms of LV dysfunction (ischemic or nonischemic) and New York Heart Association (NYHA) functional class I-III, referred for an echocardiographic study to evaluate the LV volumes and LV ejection fraction (LVEF) during the period from March 2020 to March 2022. Echocardiographic images were acquired by experienced echocardiographers using a commercially available Philips EPIQ machine (Koninklijke Philips Ultrasound, USA) equipped with X5-1 Matrix probe for 2DE and DHM 3DE acquisitions, respectively. Results: 2D Simpson methods echocardiography results for estimated LVEF were 38.43 ± 1.70 in patients with NYHA class I-II, 30.53 ± 1.60 in patients with NYHA class III. Using 3D Heart Model, LVEF were 38.23 ± 1.71 in patients with NYHA class I-II and 30.27 ± 1.50 in patients with NYHA class III. The results of 2D Simpson methods echocardiography for estimated LVEDVi in NYHA class I-II and NYHA class III were 99.06 ± 6.36 ml/m2, 121.96 ± 2.93 ml/m2 respectively, LVESVi were 60.91 ± 3.91 ml/m2, 84.74 ± 2.70 ml/m2 respectively, for 3D Heart Model, LVEDVi in NYHA class I-II and NYHA class III were 100.07 ± 6.72, 121.38 ± 3.01 ml/m2 respectively, LVESVi were 61.75 ± 3.94 ml/m2, 84.73 ± 2.33 ml/m2 respectively. 2DE measurement of LV volumes and EF was completed in 6.1 ± 0.8 min. per patient. 3DE HeartModelA.I acquisition and analysis in most patients was completed in <3.2 min., an average time of 2.9 ± 1.3 min. per patient. The result of our study shows that the 3D HeartModelA.I. is a reliable and robust method for LVEF and LV volume analysis, which has similar results to 2D echocardiography performed by experienced sonographers. In this study, we found that 3DE DHM fully automated tool is also significantly faster than 2DE analysis and thus can help overcome the time-consuming nature and its present a strong argument for its incorporation into the clinical workflow. In this study, we found that 3DE DHM fully automated tool is also significantly faster than 2DE analysis and thus can help overcome the time-consuming nature and its present a strong argument for its incorporation into the clinical workflow. Conclusion: 3D DHM provides fast and accurate LV volumes and LVEF quantitation, as it avoids geometric assumptions and left ventricular foreshortening, has better reproducibility and has incremental value to predict adverse outcomes in comparison with conventional 2DE. In the future major benefit of AI in echocardiography is expected from improvements in automated analysis and interpretation to reduce workload and improve clinical outcome.

The expression pattern of the markers p19, Ki-67, MSX1, MSX2, PDL1, pRB, and CYCLINA2 was quantitatively and semiquantitatively analyzed in histologic sections of the developing and postnatal human eye at week 8, in retinoblastoma, and in various uveal melanomas post hoc studies by double immunofluorescence. The p19 immunoreactivity characterized retinal and/or choroidal cells in healthy and tumor tissues: expression was lower in the postnatal retina than in the developing retina and retinoblastoma, whereas it was high in epithelioid melanomas. Ki67 expression was high in the developing eye, retinoblastoma, and choroidal melanomas. MSX1 and MSX2 expression was similar in the developing eye and retinoblastoma, whereas it was absent in the postnatal eye. Their different expression was evident between epithelioid and myxoid melanomas. Similarly, PDL1 was absent in epithelioid melanomas, whereas it was highly expressed in developing and tumor tissues. Expression of pRB and CYCA2 was characteristic of developing and tumorous eye samples but not of the healthy postnatal eye. The observed expression differences of the analyzed markers correlate with the origin and stage of cell differentiation of the tissue samples. The fine balance of expression could play a role in both human eye development and ocular tumorigenesis. Therefore, understanding their relationship and interplay could open new avenues for potential therapeutic interventions and a better understanding of the mechanisms underlying the developmental plasticity of the eye and the development of neoplasms.

Reaction of diphenylmethanol (4) with n-butyllithium and subsequent treatment with selenium resulted in 12H-dibenzo[d,g][1,2,3]triselenocin-12-ol (5) comprising a novel heterocyclic ring system. The title compound 5 was analyzed by 1H-NMR, 13C-NMR and HPLC. Additionally, the structure of 5 was confirmed by single crystal X-ray diffraction.

Malware detection is an important step in network security. Traditional malware detection methods suffer from the ability to learn, understand, process, and apply characteristics of network traffic data accurately, and in a relatively short space of time. It also cannot learn new tasks without forgetting the old tasks. In this paper, we propose a self-evolving malware detection (SEMD) method using network traffic and incremental learning. Incremental learning (IL) method is one of the important methods in deep learning, which can learn new tasks without forgetting the old tasks. Its loss function draws lessons from the idea of knowledge distillation. Experimental results show that the proposed method can recognize both old tasks and new tasks (overcoming the problem of catastrophic network forgetting). The performance of the proposed SEMD method is also better than the general method of incremental learning without self-evolving.

The proliferation of mobile communication systems, arrival of high-speed broadband networks and more complex network topologies have exacerbated cyber-threats. Cyber-warfare has become an aspect of modern war-fare that can no longer be overlooked. In recent years, network intrusions launched using the Internet have seriously undermined the security systems of many nations. Classifying malicious network traffic is the first step in network intrusion detection. In this paper, we propose three models using semi-supervised learning-based malicious traffic classification (MTC) methods that effectively improve the classification of traffic using a small proportion of labeled traffic data. Employing three different deep neural networks as feature extraction networks respectively, the proposed models use transductive transfer learning and domain adaptive ideas, and ladder networks as classification layers. Experimental results are provided to validate the proposed methods.

Abstract The purpose of this paper is to shed light on the biographical, professional, and health-educational works of Dr. Isak Samakovlija, who was better known as a writer than a doctor in the country where he was born. He was born in 1889 in Goražde, the easternmost province in the Austrian-Hungarian monarchy, into a modest Jewish merchant family. He attended high school in Sarajevo and completed his studies in medicine in Vienna in 1917. During the First World War, he served twice in the Austro-Hungarian army. After the end of the First World War in 1918, he completed a medical internship at the National Hospital in Sarajevo. He began his service as a doctor, first in Goražde and then in Fojnica and Sarajevo. After the establishment of the Independent State of Croatia in May 1941, he was dismissed from his duties in the service without the right to pension or support, and without the right to appeal. In the Independent State of Croatia, he was twice mobilized into the Home Guard and was manager of the clinic in the Alipašin Most refugee camp. After World War II, he was the head of the Health Education Department of the Ministry of Public Health of the People’s Republic of Bosnia and Herzegovina in Sarajevo. Together with a group of enthusiastic doctors, he founded and edited the first Bosnian medical journal Život i Zdravlje (Life and Health). In that journal, Dr. Samokovlija published 29 articles of health and educational content. In 1949, Dr. Samokovlija left the Ministry of Public Health and continued to edit the literature and art journal Brazda, but he still had a private practice until the end of his life. He died in Sarajevo on January 15, 1955. He was buried with the highest state honors at the Jewish cemetery in Sarajevo. Conclusion. Isak Samakovlija (1889-1955) was one of the first medical doctors born in Bosnia and Herzegovina. He made a significant contribution to the improvement of people’s health after the First and Second World Wars in the places where he worked. His special contribution are his articles on health education.

Background: During the process of the treatment of COVID-19 hospitalized patients, physicians still face a lot of unknowns and problems. Despite the application of the treatment protocol, it is still unknown why the medical status of a certain number of patients worsens and ends with death. Many factors were analyzed for the prediction of the clinical outcome of the patients using different methods. The aim of this paper was to develop a prediction model based on initial laboratory blood test results, accompanying comorbidities, and demographics to help physicians to better understand the medical state of patients with respect to possible clinical outcomes using neural networks, hypothesis testing, and confidence intervals. Methods: The research had retrospective-prospective, descriptive, and analytical character. As inputs for this research, 12 components of laboratory blood test results, six accompanying comorbidities, and demographics (age and gender) data were collected from hospital information system in Sarajevo for each patient from a sample of 634 hospitalized patients. Clinical outcome of the hospitalized patients, survival or death, was recorded 30 days after admission to the hospital. The prediction model was designed using a neural network. In addition, formal hypothesis tests were performed to investigate whether there were significant differences in laboratory blood test results and age between patients who died and those who survived, including the construction of 95% confidence intervals. Results: In this paper, 11 neural networks were developed with different threshold values to determine the optimal neural network with the highest prediction performance. The performances of the neural networks were evaluated by accuracy, precision, sensitivity, and specificity. Optimal neural network model evaluation metrics are: accuracy = 87.78%, precision = 96.37%, sensitivity = 90.07%, and specificity = 62.16%. Significantly higher values (P < 0.05) of blood laboratory result components and age were detected in patients who died. Conclusion: Optimal neural network model, results of hypothesis tests, and confidence intervals could help to predict, analyze, and better understand the medical state of COVID-19 hospitalized patients and thus reduce the mortality rate.

SUMMARY Antibiotic therapy is indicated during acute cholecystitis. However, in the treatment of uncomplicated cholelithiasis, prophylactic use of antibiotics is controversial. Microbiological and laboratory data are the basis for the choice of antibiotic treatment. However, monitoring and updating local antibiograms is important because they ensure effective therapy in the given clinical environment. The study included 110 consecutive patients who underwent laparoscopic cholecystectomy, divided into the group of uncomplicated cholelithiasis (n=60) and the group of acute cholecystitis (n=50). Preoperative data included age, sex, body mass index, leukocytes, C-reactive protein, and ultrasound examination. Bile samples for bacteriological testing were obtained under aseptic conditions during the surgery. Cultures were evaluated for aerobic, anaerobic and fungal organisms using routine tests. After the surgery, gallbladder specimens were sent for histopathological examination. In the group of uncomplicated cholelithiasis, 6/60 positive samples were found, and in the group of acute cholecystitis, there were 25/50 positive microbiological findings. Citrobacter sp. and Enterococcus faecalis predominated in the group of uncomplicated cholelithiasis, and Escherichia coli, Enterococcus faecalis, Proteus mirabilis and Citrobacter sp. in the group of acute cholecystitis. Antibiotics were administered to 49/50 patients with acute cholecystitis and to 32/60 patients with uncomplicated cholelithiasis. Cefazolin was the most frequently used antibiotic and also the most resistant antibiotic. To conclude, the administration of antibiotics in elective patients is not justified. The results of this study indicate that third-generation cephalosporin or ciprofloxacin + metronidazole should be administered in mild and moderate acute cholecystitis, and fourth-generation cephalosporin + metronidazole in severe acute cholecystitis in this local setting. The appropriate use of antibiotic agents is crucial and should be integrated into good clinical practice and standards of care.

Caused by the new SARS-CoV-2 coronavirus, COVID-19 (coronavirus disease 2019) evolves with clinical symptoms that vary widely in severity, from mild symptoms to critical conditions, which can even result in the patient's death. A critical aspect related to an individual response to SARS-CoV-2 infection is the competence of the immune system, and it is well known that several trace elements are essential for an adequate immune response and have anti-inflammatory and antioxidant properties that are of particular importance in fighting infection. Thus, it is widely accepted that adequate trace element status can reduce the risk of SARS-CoV-2 infection and disease severity. In this study, we evaluated the serum levels of Cu, Zn, Se, Fe, I and Mg in patients (n = 210) with clinical conditions of different severity (“mild”, “moderate”, “severe” and “exitus letalis”, i.e., patients who eventually died). The results showed significant differences between the four groups for Cu, Zn, Se and Fe, in particular a significant trend of Zn and Se serum levels to be decreased and Cu to be increased with the severity of symptoms. For Mg and I, no differences were observed, but I levels were shown to be increased in all groups.

BACKGROUND Specialty training in plastic, reconstructive and aesthetic surgery is a prerequisite for safe and effective provision of care. The aim of this study was to assess and portray similarities and differences in the continuing education and specialization in plastic surgery in Europe. MATERIAL AND METHODS A detailed questionnaire was designed and distributed utilizing an online survey administration software. Questions addressed core items regarding continuing education and specialization in plastic surgery in Europe. Participants were addressed directly via the European Leadership Forum (ELF) of the European Society of Plastic, Reconstructive and Aesthetic Surgery (ESPRAS). All participants had detailed knowledge of the organization and management of plastic surgical training in their respective country. RESULTS The survey was completed by 29 participants from 23 European countries. During specialization, plastic surgeons in Europe are trained in advanced tissue transfer and repair and aesthetic principles in all parts of the human body and within several subspecialties. Moreover, rotations in intensive as well as emergency care are compulsory in most European countries. Board certification is only provided for surgeons who have had multiple years of training regulated by a national board, who provide evidence of individually performed operative procedures in several anatomical regions and subspecialties, and who pass a final oral and/or written examination. CONCLUSION Board certified plastic surgeons meet the highest degree of qualification, are trained in all parts of the body and in the management of complications. The standard of continuing education and qualification of European plastic surgeons is high, providing an excellent level of plastic surgical care throughout Europe. HINTERGRUND Die Facharzt-Weiterbildung für Plastische und Ästhetische Chirurgie ist eine Grundvoraussetzung für sichere und effektive Patientenversorgung. Ziel der vorliegenden Studie war die Darstellung von Gemeinsamkeiten und Unterschieden in der Weiterbildung für Plastische Chirurgie innerhalb von Europa. MATERIALIEN UND METHODEN Ein internetbasierter Fragebogen wurde mit Hilfe eines kostenlosen Formularerstellungstools erstellt und verteilt. Die Fragen betrafen Kernpunkte der Weiterbildung für Plastische Chirurgie in Europa. Die Teilnehmer wurden direkt über das European Leadership Forum (ELF) der European Society of Plastic, Reconstructive and Aesthetic Surgery (ESPRAS) kontaktiert. Alle Teilnehmer hatten weitreichende Kenntnisse über die Organisation und Struktur der plastisch-chirurgischen Weiterbildung in ihrem jeweiligen Land. ERGEBNISSE 29 Teilnehmer*innen aus 23 europäischen Ländern nahmen an der Umfrage teil. Die Weiterbildung für Plastische Chirurgie beinhaltet grundlegende Prinzipien und Techniken zur Wiederherstellung von Form und Funktion innerhalb der verschiedenen Säulen der Plastischen Chirurgie, sowie in allen Körperregionen. In den meisten europäischen Ländern ist eine Rotation in der Intensiv- und Notfallmedizin und die Behandlung kritisch kranker Patienten obligatorisch. Voraussetzung für die Facharztbezeichnung ist die mehrjährige, national organisierte Weiterbildung, der Nachweis einer festgelegten Anzahl selbstständig durchgeführter Operationen, sowie die mündliche und/oder schriftliche Abschlussprüfung. SCHLUSSFOLGERUNG Fachärzte für Plastische und Ästhetische Chirurgie sind hochqualifiziert und auch im Umgang mit Komplikationen geschult. Der Standard der Weiterbildung der europäischen Plastischen Chirurgen ist hoch, so dass innerhalb Europas eine hohe Qualität plastisch-chirurgischer Versorgung gewährleistet ist.