The majority of people with Autism Spectrum Disorder (ASD) exhibit difficulties in social communication and behavior, which hinder their learning capability, amid others. Among technological solutions for people with ASD, serious games are frequently used to enhance learning of specific skills and instructional contents. However, because of heterogeneity in applications and game design, few studies have investigated their use in training daily activities. This paper presents a 3D personalized serious game we developed and validated to help ASD patients practice with shopping activities. Personalized training is paramount in people with ASD, thus several elements of this game were personalized to improve engagement and therefore the effectiveness of the virtual training. In order to assess the validity of the game, ten subjects (age $\text{11.9} \pm \text{2.7}$, 20% female) with ASD played ten sessions of the serious game, once per week. The participants underwent a real-life experience pre- and post-training in a real-life supermarket. Changes in daily living skills among participants were evaluated through specific tools: a form based on the International Classification of Functioning, Disability and Health for Children and Youth; and the Vineland Adaptive Behavior Scale II. Significant improvements (p$< $0.05) were detected in the main skills trained with the serious game, especially in learning the shopping procedure, directing attention, and problem-solving skills. These findings suggest that personalized serious games can represent a prominent tool to enhance daily living skills, but future work should clinically validate their efficacy.

Performance of neural networks greatly depends on quality, size and balance of training dataset. In a real environment datasets are rarely balanced and training deep models over such data is one of the main challenges of deep learning. In order to reduce this problem, methods and techniques are borrowed from the traditional machine learning. Conversely, generative adversarial networks (GAN) were created and developed, a relatively new type of generative models that are based on game theory and consist of two neural networks, a generator and a discriminator. The generator’s task is to create a sample from the input noise that is based on training data distribution and the discriminator should detect those samples as fake. This process goes through a finite number of iterations until the generator successfully fools the discriminator. When this occurs, sample becomes a part of new (augmented) dataset. Even though the original GAN creates unlabeled samples, variants that soon appeared removed that limitation. Generating artificial data through these networks appears to be a meaningful solution to the imbalance problem since it turned out that artificial samples created by GAN are difficult to differentiate from the real ones. In this manner, new samples of minority class could be created and dataset imbalance ratio lowered.

Recently, much attention has been paid to the reuse of bauxite residues from alumina production, also known as red mud, in the cement industry. Red mud bears the potential to improve concrete properties due to its favourable chemical composition and particle size. In this work, the synergy between locally available red mud and common supplementary cementitious materials such as fly ash, slag, calcined clay and limestone in cement mixes is investigated. All materials used were sourced from the immediate vicinity of the cement plant. The study of synergy involved the evaluation of the individual chemical reactivity of each material using the R3 test by isothermal calorimetry as well as their joint contribution to the heat of hydration and the composition of the reaction products of the paste and the compressive strength of the mortar. The results show how, by understanding the synergy between the materials, a higher level of cement substitutions can be achieved without compromising the mechanical properties of the mortar.

Background: COVID-19 infection has shown many complications on all organ systems, including the pancreas, during the acute phase of infection and in the post covid period. Objective: Our goal was to compare the frequency of patients with type 1 and type 2 diabetes in the Outpatient Clinic “Srce Sarajeva”, in the year before COVID-19, 2019, and during the COVID-19 infection, in 2020 and 2021. Our second goal was to monitor the incidence of diabetes after COVID-19 infection, the time of onset after the acute phase of the disease, and treatment options for individual patients depending on the value of glucose. Methods: The study was designed as a retrospective-prospective, with the consent of the Director of the Outpatient Clinic “Srce Sarajeva”, and patient consent, in the period of January 2019 to December 2021. The study included 371 patients at the age between 18-70. Results: In 2020 and 2021 there was a significant difference in the number of patient diagnosed with diabetes who came for examination, compared to 2019. The number of new-onset diagnosed patients with type 1 and type 2 diabetes was significantly higher in 2020 and 2021 compared to 2019. In 2020, out of five newly discovered type 1, 3 of them, with an average age of 23 (+/- 1-4), overcame COVID-19 infection, and diabetes was detected 3-4 weeks after overcoming COVID-19 infection. Of the 122 type 2 patients, 19 were newly diagnosed, 47 were of average age (+/- 2-6), 13 were COVID-19 infected, and diabetes was detected 4-6 weeks after infection. In 2021, out of 4 newly discovered type 1, 3 of them, with an average age of 22 (+/- 1-2), overcame COVID-19 infection, and diabetes was detected 2-3 weeks after overcoming COVID-19 infection. Of the 114 type 2 patients, 32 were newly diagnosed, 45 were of average age (+/- 2-6), 23 were COVID-19 infected, and diabetes was detected 6-8 weeks after infection. Conclusion: COVID-19 infection adversely affects the pancreatic tissue leading to the clinical picture of type 1 and type 2 diabetes, and all patients, especially those at high risk of developing the disease suggest blood sugar testing, 3-4 weeks after the acute phase of the disease, and earlier if they were on corticosteroid therapy.

Background: Mental health, substance abuse and suicidal ideation present an emerging healthcare problem during COVID-19 pandemic as a result of socio-epidemiological measures, isolations, work modifications, constant media overload with COVID-19 related news and no effective cure for the disease. Objective: The aim of this study was to analyse substance abuse, suicidal ideation and mental health status among university students during the COVID-19 outbreak in Bosnia and Herzegovina. Methods: This cross-sectional study, was conducted via an online anonymous questionnaire based on a Patient Health Questionnaire-4 and Impact of Event Scale-6 which was distributed to the student population of Bosnia and Herzegovina. Results: In total 827 subjects, the majority of whom were female (636), had a high school degree (431), were unemployed (587), lived in an urban environment (747) and had a median age of 23.0 (21.0,32.0), completed the questionnaire. Being female [(OR=1.643, p=0.040); (OR=1.643, p=0.032)], taking sedatives [(OR=1.519, p<0.001); (OR=1.250, p=0.029)] and having high IES-6 score [(OR=2.190, p<0.001); (OR=2.013, p<0.001)] were independent predictors of developing depressive and anxiety symptoms during the COVID-19 outbreak, respectively. Suicidal ideation was present in 71 subjects, with 11 attempting to commit suicide. Sedative (OR=1.381, p=0.005) or alcohol (OR=1.493, p=0.002) use, unemployment (OR=4.551, p<0.001) and depressive symptoms (OR=7.261, p<0.001) were independent predictor of developing suicidal ideation. Conclusion: Bosnia and Herzegovina students show a significant prevalence of anxiety and depressive symptoms, trauma- and stressor-related disorder related to the pandemic, suicidal ideation and substance abuse during the COVID-19 outbreak, especially in association with gender, occupation and abuse of a specific substance.

Coronavirus disease 2019 (COVID-19) is primarily a disease of the respiratory system but severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) may cause several immune-related complications including different neurological disorders, such as myelopathy with paraparesis.In this atypical case a female patient with progressive spastic paraparesis after COVID-19 infection, brisk reflexes and positive Babinski sign, reduced vibratory sensation to the thoracic level, elevated immunoglobulin levels (IgG) in cerebrospinal fluid, but negative magnetic resonance imaging (MRI) of the brain and spine, is presented. A 57-year-old woman with spastic paraparesis and inability to walk was admitted to our neurological department. About four months before hospitalization, she started feeling numbness and tingling in the feet and lumbar spine area. Gradually, numbness and tingling ascended to the thoracic spine level Th7/8, and she developed weakness mostly in her legs. In the neurological exam she had spastic paraparesis. MRI of the brain, cervical and thoracic spine did not reveal any signal abnormality. Serological testing for SARS-CoV-2 was performed and results were highly positive IgG and IgM+IgA levels. The lumbar puncture finding confirmed the suspicion of immune-related complications after SARS-CoV-2 infection (intrathecal IgG synthesis). This case draws attention to spastic paraparesis or progressive MRI-negative myelitis after SARS-CoV-2 infection, which obviously has immune-mediated pathogenesis that happen in response to the virus or its antibodies. Similarities in spastic paraparesis after human T-lymphotropic virus (HTLV-1) or human immunodeficiency virus (HIV-1) and SARS-CoV-2 infections were observed. The patient had a good response to corticosteroid therapy and had good recovery.

Background: The negative symptoms of schizophrenia are less known aspects of the illness although they often mark its course and outcome. Negative symptoms refer to loss of function, and they are associated with poor outcomes. It is considered that they are more prominent with the longer duration of illness. Objective: To determine the negative symptoms in the patients with schizophrenia with regard to the duration of illness. Methods: A cross-sectional study was conducted in 60 consecutive outpatients with schizophrenia. Two groups were formed regarding the duration of illness (⩽2 years, and >3 years). The negative symptoms were established with the Brief Negative Symptom Assessment – BNSA. Results: Average score of negative symptoms in the group with the shorter duration of illness was 8.37±2.94, and in the group with longer duration was 10.73±2.86. Independent Samples Test was significant p=0.003, t-2.367, and therefore the difference between scores on BNSA within groups was significant. Moderate size effect was found (p = 0.69). Conclusion: Negative symptoms of schizophrenia are more prominent with the longer duration of illness.

Abstract Background: Limited data exist on training of European paediatric and adult congenital cardiologists. Methods: A structured and approved questionnaire was circulated to national delegates of Association for European Paediatric and Congenital Cardiology in 33 European countries. Results: Delegates from 30 countries (91%) responded. Paediatric cardiology was not recognised as a distinct speciality by the respective ministry of Health in seven countries (23%). Twenty countries (67%) have formally accredited paediatric cardiology training programmes, seven (23%) have substantial informal (not accredited or certified) training, and three (10%) have very limited or no programme. Twenty-two countries have a curriculum. Twelve countries have a national training director. There was one paediatric cardiology centre per 2.66 million population (range 0.87–9.64 million), one cardiac surgical centre per 4.73 million population (range 1.63–10.72 million), and one training centre per 4.29 million population (range 1.63–10.72 million population). The median number of paediatric cardiology fellows per training programme was 4 (range 1–17), and duration of training was 3 years (range 2–5 years). An exit examination in paediatric cardiology was conducted in 16 countries (53%) and certification provided by 20 countries (67%). Paediatric cardiologist number is affected by gross domestic product (R2 = 0.41). Conclusion: Training varies markedly across European countries. Although formal fellowship programmes exist in many countries, several countries have informal training or no training. Only a minority of countries provide both exit examination and certification. Harmonisation of training and standardisation of exit examination and certification could reduce variation in training thereby promoting high-quality care by European congenital cardiologists.