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Abstract This paper presents the findings of a study on digital maturity in higher education institutions in Bosnia and Herzegovina (BiH). Empirical research was conducted in 2020. Teachers from eight public higher education institutions in Bosnia and Herzegovina were included in the sample. The findings revealed that digital transformation has been ongoing in these institutions for some time, that some results have been achieved, but that digital maturity has not yet been attained. The findings also revealed barriers that must be overcome in order to accelerate digitalization and reap the anticipated benefits.

Using recent advancements in high-performance computing data assimilation to combine satellite InSAR data with numerical models, the prolonged unrest of the Sierra Negra volcano in the Galápagos was tracked to provide a fortuitous, but successful, forecast 5 months in advance of the 26 June 2018 eruption. Subsequent numerical simulations reveal that the evolution of the stress state in the host rock surrounding the Sierra Negra magma system likely controlled eruption timing. While changes in magma reservoir pressure remained modest (<15 MPa), modeled widespread Mohr-Coulomb failure is coincident with the timing of the 26 June 2018 moment magnitude 5.4 earthquake and subsequent eruption. Coulomb stress transfer models suggest that the faulting event triggered the 2018 eruption by encouraging tensile failure along the northern portion of the caldera. These findings provide a critical framework for understanding Sierra Negra’s eruption cycles and evaluating the potential and timing of future eruptions.

Introduction Hyperprolactinemia is a common unwanted antipsychotic-induced adverse effect, particularly in female patients, and can induce poor adherence to treatment. Aripiprazole is an antipsychotic with partial agonist activity over the dopamine D2 receptors which can be effective in reducing hyperprolactinemia in patients treated with antipsychotics. Objectives We investigate the efficacy of adjunctive treatment with aripiprazole for olanzapine-induced hyperprolactinemia and related hormonal side effects (amenorrhea, oligomenorrhea) in female patients with schizophrenia. Methods Eight female patients (22 to 40 years old) participated in this study with a diagnosis of schizophrenia and hyperprolactinemia-related hormonal side effects (amenorrhea, oligomenorrhea). Patients were treated with aripiprazole 10 mg/day added to a fixed olanzapine dose of 20 mg/day. Serum prolactin levels were measured at baseline and after 2, 4, 6, and 8 weeks. Symptoms and side effects were assessed using the Brief Psychiatric Rating Scale, Clinical Global Impressions Severity scale, Barnes Akathisia Scale. Results Adjunctive treatment with aripiprazole resulted in significantly lower prolactin levels beginning at week 2. 87.5 % of patients at week 8 had prolactin levels normalize. Among 8 patients with menstrual disturbances, 75% of patients regained menstruation during the study. No significant changes were observed regarding psychopathology and adverse effect ratings. Conclusions Adjunctive aripiprazole treatment is effective for resolving olanzapine-induced hyperprolactinemia and reinstatement of menstruation in female patients, provides significant improvement and it appears to be safe with a lower risk of metabolic syndrome, without increased risk of adverse effects. Disclosure No significant relationships.

Although fluorides are essential for dental health, there are growing health concerns regarding the risk-benefit ratio of fluoride exposure. The objectives of the study were to obtain data on the amount and human health risks of fluoride in drinking groundwater, as well as to compare and evaluate the differences in the outputs obtained by two different approaches in health risk assessment (deterministic vs probabilistic). From a densely populated industrial area of northeastern Bosnia and Herzegovina, a total of 54 groundwater samples were collected. Fluoride concentrations varied from 1.69 to 3.52 mg/L. The WHO’s threshold value for fluoride in drinking water was exceeded in all the samples analysed, indicating an increased daily intake of fluoride from groundwater. Deterministic and semi-probabilistic techniques were used for exposure assessment and health risk quantification. Generally, the deterministic approach resulted in acceptable health risks in most adult exposure scenarios. However, the Monte Carlo simulation revealed that 20.6, 20.8, and 99.8% of adult males, females, and children, respectively, were above the tolerable upper intake level, indicating that both adults and children face a significant health risk. Nevertheless, small children are more vulnerable to environmental hazards than youth and adults. Hence, a more in-depth risk-benefit analysis is required to reduce/or optimize fluoride content in drinking water to prevent tooth decay and fluorosis at all ages. Considering that optimal daily intake of fluorides is a crucial factor for preserving human health, decision-makers should take steps to emphasize the importance of continuous monitoring of fluoride concentrations in drinking water.

Field maple (Acer campestre L.) is naturally distributed in most of Europe, with the exception of its northern parts. Field maple can serve as a valuable model for researching the sensitivity of its populations to habitat fragmentation, considering lack of silvicultural treatments in its stands. The research aims to determine interpopulation and intrapopulation variability of field maple populations from Bosnia and Herzegovina in the nursery test. The authors researched measured root collar diameter, height, observed forkness and calculated slenderness coefficient of the one-year-old generative material from 18 Bosnian-Herzegovinian populations of field maple, produced in the nursery of Žepče. The descriptive statistics and variance analysis was performed. All analyzed traits showed a high degree of intra-population as well as interpopulation variability, as confirmed by the analysis of variance. The highest average height had provenance Bosanski Brod (46.08 cm) and the smallest Bosanska Dubica (19.11 cm). Kreševo provenance had the highest average root neck diameter (8.27 mm) and Bosanska Dubica (5.24 mm) the lowest. A very low percentage of forkness (6.86%) was determined, and the values of the slenderness coefficient were acceptable for all provenances. The results indicate need for further systematic research on this ecologically valuable species.

Summary Background The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) causes a respiratory illness named coronavirus disease 2019 (COVID-19), which is one of the main global health problems since 2019. Glycans attached to the Fc portion of immunoglobulin G (IgG) are important modulators of IgG effector functions. Fc region binds to different receptors on the surface of various immune cells, dictating the type of immune response. Here, we performed a large longitudinal study to determine whether the severity and duration of COVID-19 are associated with altered IgG glycosylation. Methods Using ultra-high-performance liquid chromatography analysis of released glycans, we analysed the composition of the total IgG N-glycome longitudinally during COVID-19 from four independent cohorts. We analysed 77 severe COVID-19 cases from the HR1 cohort (74% males, median age 72, age IQR 25-80); 31 severe cases in the HR2 cohort (77% males, median age 64, age IQR 41-86), 18 mild COVID-19 cases from the UK cohort (17% males, median age 50, age IQR 26-71) and 28 mild cases from the BiH cohort (71% males, median age 60, age IQR 12-78). Findings Multiple statistically significant changes in IgG glycome composition were observed during severe COVID-19. The most statistically significant changes included increased agalactosylation of IgG (meta-analysis 95% CI [0.03, 0.07], adjusted meta-analysis P= <0.0001), which regulates proinflammatory actions of IgG via complement system activation and indirectly as a lack of sialylation and decreased presence of bisecting N-acetylglucosamine on IgG (meta-analysis 95% CI [-0.11, -0.08], adjusted meta-analysis P= <0.0001), which indirectly affects antibody-dependent cell-mediated cytotoxicity. On the contrary, no statistically significant changes in IgG glycome composition were observed in patients with mild COVID-19. Interpretation The IgG glycome in severe COVID-19 patients is statistically significantly altered in a way that it indicates decreased immunosuppressive action of circulating immunoglobulins. The magnitude of observed changes is associated with the severity of the disease, indicating that aberrant IgG glycome composition or changes in IgG glycosylation may be an important molecular mechanism in COVID-19. Funding This work has been supported in part by Croatian Science Foundation under the project IP-CORONA-2020-04-2052 and Croatian National Centre of Competence in Molecular Diagnostics (The European Structural and Investment Funds grant #KK.01.2.2.03.0006), by the UKRI/MRC (Cov-0331 - MR/V027883/1) and by the National Institutes for Health Research Nottingham Biomedical Research Centre and by Ministry Of Science, Higher Education and Youth Of Canton Sarajevo, grant number 27-02-11-4375-10/21.

Safety-critical automation often requires redundancy to enable reliable system operation. In the context of integrating sensors into such systems, the one-out-of-two (1oo2) sensor architecture is one of the common used methods used to ensure the reliability and traceability of sensor readings. In taking such an approach, readings from two redundant sensors are continuously checked and compared. As soon as the discrepancy between two redundant lines deviates by a certain threshold, the 1oo2 voter (comparator) assumes that there is a fault in the system and immediately activates the safe state. In this work, we propose a novel fault prognosis algorithm based on the discrepancy signal. We analyzed the discrepancy changes in the 1oo2 sensor configuration caused by degradation processes. Several publicly available databases were checked, and the discrepancy between redundant sensors was analyzed. An initial analysis showed that the discrepancy between sensor values changes (increases or decreases) over time. To detect an increase or decrease in discrepancy data, two trend detection methods are suggested, and the evaluation of their performance is presented. Moreover, several models were trained on the discrepancy data. The models were then compared to determine which of the models can be best used to describe the dynamics of the discrepancy changes. In addition, the best-fitting models were used to predict the future behavior of the discrepancy and to detect if, and when, the discrepancy in sensor readings will reach a critical point. Based on the prediction of the failure date, the customer can schedule the maintenance system accordingly and prevent its entry into the safe state—or being shut down.

Background: Sternotomy is a classical surgical procedure for approaching the heart and mediastinum. Sternotomy wound infections can be superficial or deep. Objective: The aim of this study is to retrospectively evaluate the results of two treatments for deep sternal wound infection (DSWI), closed treatment (debridement, refixation and retrosternal irrigation) and open treatment (debridement, VAC therapy and then pectoral flap). Methods: Retrospective analysis of two methods of treatment of DSWI in the period of six years. The first group (G1): surgical debridement, sternum fixation with, if necessary, retrosternal irrigation. The second group (G2): surgical debridement, open sternum with VAC therapy and subsequent pectoral flap with sternum refixation if necessary. Sternotomy wound infection will be classified according to the depth of the affected areas and the time of infection. Risk factors, outcome, local findings, number of revisions, number of hospital treatment days, types of isolates, etiology of sternotomy, time from onset of sternal instability to first surgical treatment will be observed.: Results: The number of patients with DSWI was 16, which represents 1% of all sternotomy in the observed period. Mortality in the DSWI group was 35%. Surgical myocardial revascularization was initially performed in 73% of patients with DSWI. Two risk factors for DSWI were in 32% of patients and 25% had diabetes mellitus. The average time for DSWI development in G1 was 10 days (min 0, max 30) and in G2 was 20 days (min 12, max 30). Number of revisions in G1 (min 1, max 2), G2 (min 1, max 3). Average number of hospital days were in G1 23.50 days (SD 13.15), and in G2 38.17 days (SD 28.65). The sternum was osteomyelitic and fragmented in 20% of patients. More than one revision occurred in 40% of patients. The main initial isolate was Enterococcus faecalis in 27% of all DSWI (dominantly in G1 2/3 of all): Conclusion: We found that there is no statistically significant difference in observed treatments, and that each treatment has its own indications. We suggested that studies with a larger sample are needed for a definite opinion on this issue.

TPS612 Background: The ongoing, multi-center FLEX trial (NCT03053193) began in the United States in 2017, with the ultimate goal of 30,000 patients enrolled. The primary objective is to create a large-scale collaborative registry of early-stage breast cancer patients that links comprehensive clinical and full genome expression data to reveal new prognostic and/or predictive gene signatures. A key secondary objective of the trial is to enable investigator-initiated studies to explore early-stage breast cancer at a relatively low cost to the investigator. Methods: The prospective FLEX trial enrolls patients aged ≥ 18 years with histologically proven stage I-III breast cancer, with negative or 1-3 positive lymph nodes. Eligible patients have received MammaPrint, with or without BluePrint testing as standard of care, and consent to clinically annotated full transcriptome data collection. The FLEX base study protocol permits investigators to submit their own concept proposal, and upon review and approval by the Research and Scientific Review Committees, investigators interrogate clinical and genomic data from the FLEX database. The 10-year enrollment goal is a minimum of 30,000 patients. Since April 2017, 9,170 patients have been enrolled at over 109 sites in the United States. To date, 38 investigator-initiated substudies have been approved and are in progress, and 28 abstracts have been published in the US scientific congresses. To ensure inclusion of diverse populations, patients from local communities and 11 National Cancer Institute-designated Comprehensive Cancer Centers were included. Our diverse data set is helping meet the needs of historically under-represented patients with breast cancer. Of the self-reported ethnicities within the FLEX database, 65% are White or Caucasian, 8% Black or African American, 4% Latin American, and 2% Asian. There are 5 ongoing FLEX sub studies investigating racial disparities. The molecular profiling and differential gene expression analysis in early-stage breast cancer patients of African American, Asian, Hispanic ancestries helps to provide critical insights that correlate tumor biology with treatment outcomes. FLEX is expanding globally with sites anticipated in multiple European countries. The FLEX trial continues to expedite the discovery and development of novel genomic profiles, bringing precision oncology into the clinic to improve breast cancer management. Clinical trial information: NCT03053193.

Background: The economic burden induced by all types of Diabetes mellitus (DM) and their complications has reached 1.8% of gross domestic product (GDP) globally. The economic burden of diabetes mellitus in Bosnia & Herzegovina (B&H) is still unknown. Objective: To investigate the economic burden of diabetes in Bosnia and Herzegovina, including the costs of diagnosing and treating diabetes and its complications. Methods: The study was designed as a top-down cost of illness study, based on prevalence, analyzing both direct and indirect costs of DM and complications caused by DM. All types of DM were taken into account, and estimates were based on total B&H population. Costs of services per patient were calculated by multiplication of share of treated population, service utilization data and unit costs. Results: Annual economic burden associated with DM in B&H is around 189 million euro (739 euro per patient), which makes 1.11% of gross domestic product (GDP) of B&H in 2020 (16,993,101,523 euro, according to the World Bank data). The largest part of this burden was created by DM medication and costs of managing complications (heart failure and stable angina being major cost drivers among the complications), followed by laboratory tests and physician visits. Conclusion: Total costs of DM per patient in B&H are within the range of costs in other Central-Eastern European (CEE) countries, reflecting significant economic burden, but also determination of healthcare payers in B&H to provide optimal management of DM in congruence with contemporary clinical guidelines

Seventy years of continuous publishing of the Journal “Radovi Šumarskog fakulteta Univerziteta u Sarajevu” (Works of the Faculty of Forestry University of Sarajevo) represents a significant indicator of the importance of the topics it publishes in its content. The main goal of this paper is to present the Journal through History and show his continuity of work. The main material for this paper is all published issues and articles from 1952 to 2021. With this analysis, we will show a History of the Journal, and its design change, and analyze the number of published papers per year, per editor during these 70 years of existence.

The paper discusses a control strategy that merges position and force control into a single control structure. The structure, denoted as the universal motion controller in our previous work, can be utilized to build a smart actuating system that runs a mechanical system with $n$ degrees of freedom. A smart actuating system has an integrated controller and it can be used in plug-and-play fashion for different trajectory tracking and force control tasks, defined either in configuration space, or in the task space. The only input of the actuating system is the attraction force in configuration space. Based on the attraction force, the smart actuating system is capable of imposing input forces to the mechanical system that will ensure execution of a specified task.

Introduction Schizophrenia (SCH) and bipolar affective disorder (BP) are complex disorders that overlapping both in their clinical symptoms and certain familiar characteristics. They share some common characteristcs but there are also key differences. The frequency of overlapping symptoms between these diseases could give us more information about the current validity of the diagnosis based on existing diagnostic criteria. Similarities within and between these two disorders in the future, can possibly redefine greater reliability of diagnosis. Objectives The aim of the study was to investigate the frequency of overlapping symptoms between BP and SCH. Methods The sample included 159 patients diagnosed with SCH and 61 with BP who were followed over a two year period. The research was conducted at the UCCS Psychiatric Clinic. Assessment of clinical symptoms and diagnosis were performed using a structured clinical interview (SCID I), a list of operationalized criteria (OPSCRIT), a scale for the assessment of positive and negative symptoms (PANSS), a scale for the assessment of manic symptoms (YMRS). Results The overall PANSS score was significantly higher in patients with SCH compared to patients with BP, but on the general psychopatology there are no significant differences betwen SCH and BP. Symptoms of mania are significantly more pronounced in patients with BP compared to those with SCH. Conclusions Our results of overlapping of individual symptoms between SCH and BP can speak infavor of the theory of disease continuum. And can also help us in understanding symptoms and guide us to develop optimal treatment strategies. Disclosure No significant relationships.