Дигитални репозиторијум ВАСЕЉЕНА

Дигитални репозиторијум ВАСЕЉЕНА је заједнички репозиторијум свих чланица Универзитета у Источном Сарајеву.

ВАСЕЉЕНА је институционални репозиторијум Универзитета у Источном Сарајеву успостављен 2023. године са циљем дијељена истраживачких резултата Универзитета. Циљ репозиторијума је да дугорочно чува и омогући отворени приступ резултатима истраживања Универзитета у Источном Сарајеву широј заједници како би се допринијело академском и друштвеном напретку.
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Adrenal Abscesses: A Systematic Review of the Literature

(MDPI, 2023) Gligorijevic, Nikola; Kaljevic, Marija; Radovanovic, Natasa; Jovanovic, Filip; Joksimovic, Bojan; Singh, Sandra; Dumic, Igor

Objective: To summarize the existing knowledge about adrenal gland abscesses, including etiology, clinical presentation, common laboratory and imaging findings, management and overall morbidity and mortality. Design: Systematic literature review. Methods: We performed a search in the PubMed database using search terms: ‘abscess and adrenal glands’, ‘adrenalitis’, ‘infection and adrenal gland’, ‘adrenal abscess’, ‘adrenal infection’ and ‘infectious adrenalitis’. Articles from 2017 to 2022 were included. We found total of 116 articles, and after applying exclusion criteria, data from 73 articles was included in the final statistical analysis. Results: Of 84 patients included in this review, 68 were male (81%), with a mean age of 55 years (range: 29 to 85 years). Weight loss was the most frequent symptom reported in 58.3% patients, followed by fever in 49%. Mean duration of symptoms was 4.5 months. The most common laboratory findings were low cortisol (51.9%), elevated ACTH (43.2%), hyponatremia (88.2%) and anemia (83.3%). Adrenal cultures were positive in 86.4% cases, with Histoplasma capsulatum (37.3%) being the leading causative agent. Blood cultures were positive in 30% of patients. The majority of the adrenal infections occurred through secondary dissemination from other infectious foci and abscesses were more commonly bilateral (70%). A total of 46.4% of patients developed long-term adrenal insufficiency requiring treatment. Abscess drainage was performed in 7 patients (8.3%) and adrenalectomy was performed in 18 (21.4%) patients. The survival rate was 92.9%. Multivariate analysis showed that the only independent risk factor for mortality was thrombocytopenia (p = 0.048). Conclusion: Our review shows that adrenal abscesses are usually caused by fungal pathogens, and among these, Histoplasma capsulatum is the most common. The adrenal glands are usually involved in a bilateral fashion and become infected through dissemination from other primary sources of infection. Long-term adrenal insufficiency develops in 46% of patients, which is more common than what is observed in non-infectious etiology of adrenal gland disorders. Mortality is about 7%, and the presence of thrombocytopenia is associated with worse prognosis. Further prospective studies are needed to better characterize optimal testing and treatment duration in patients with this relatively rare but challenging disorder.

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Antiphospholipid Antibodies and Vascular Thrombosis in Patients with Severe Forms of COVID-19

(MDPI, 2023) Zlatković-Švenda, Mirjana; Ovuka, Milica; Ogrič, Manca; Čučnik, Saša; Žigon, Polona; Radivčev, Aleksandar; Zdravković, Marija; Radunović, Goran

Antiphospholipid antibodies (aPLA) are a laboratory criterion for the classification of antiphospholipid syndrome (APS) and are known to cause clinical symptoms such as vascular thrombosis or obstetric complications. It is suggested that aPLA may be associated with thromboembolism in severe COVID-19 cases. Therefore, we aimed to combine clinical data with laboratory findings of aPLA at four time points (admission, worsening, discharge, and 3-month follow-up) in patients hospitalized with COVID-19 pneumonia. In 111 patients with COVID-19 pneumonia, current and past history of thrombosis and pregnancy complications were recorded. Nine types of aPLA were determined at four time points: anticardiolipin (aCL), anti- 2-glycoprotein I (anti- 2GPI), and antiphosphatidylserine/ prothrombin (aPS/PT) of the IgM, IgG, or IgA isotypes. During hospitalization, seven patients died, three of them due to pulmonary artery thromboembolism (none were aPLA positive). Only one of the five who developed pulmonary artery thrombosis was aPLA positive. Out of 9/101 patients with a history of thrombosis, five had arterial thrombosis and none were aPLA positive at admission and follow-up; four had venous thrombosis, and one was aPLA positive at all time points (newly diagnosed APS). Of these 9/101 patients, 55.6% were transiently aPLA positive at discharge only, compared to 26.1% without a history of thrombosis (p = 0.041). Patients with severe forms of COVID-19 and positive aPLA should receive the same dose and anticoagulant medication regimen as those with negative aPLA because those antibodies are mostly transiently positive and not linked to thrombosis and fatal outcomes.

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Leaf counting in the presence of occlusion in Arabidopsis thaliana plant using convolutional neural networks

(SPIE, 2023) Štaka, Zorana; Mišic, Marko

Plants are crucial in providing sufficient food for the increasing global population. To be able to provide an appropriate amount of food, the maximization of agricultural output is needed while input needs to be minimized. For these purposes, plant phenotyping techniques, i.e., measuring and analyzing the physical and biochemical characteristics of plants, can be employed. One of the most essential indicators of the general health and development of the plant is the color, shape, and number of leaves. To analyze plant images and capture essential plant traits, various algorithms have been developed. However, one of the important challenges in developing these algorithms is the occlusion or overlapping of leaves and biomass. We present a solution for leaf counting in the presence of occlusion in the plant Arabidopsis thaliana that includes four different convolutional neural network architectures. Datasets from the Computer Vision Problems in Plant Phenotyping (CVPPP) 2017 challenge and Photon System Instruments were used. The results are discussed in detail and compared with the existing solutions. Results showed that our solutions for leaf counting are superior to the previous winners of the CVPPP challenges.

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Sports Games and Motor Skills in Children, Adolescents and Youth with Intellectual Disabilities

(MDPI, 2023) Aksović, Nikola; Dobrescu, Tatiana; Bubanj, Saša; Bjelica, Bojan; Milanović, Filip; Kocić, Miodrag; Zelenović, Milan; Radenković, Marko; Nurkić, Filip; Nikolić, Dejan; Marković, Jovan; Tomović, Milena; Vulpe, Ana-Maria

(1) Background: Sports games are one of the best ways of engaging in physical activity for individuals with intellectual disabilities (ID) and Down syndrome (DS). This systematic review of the current literature aims to identify and sum relevant data on motor skills and clarify whether there are positive effects of sports programs in motor skills games in children, adolescents, and youth with ID and DS. (2) Methods: The systematic review of the papers was carried out following the methodological guidelines and by the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) consensus. The following electronic databases were researched: PubMed, MEDLINE, Google Scholar, ScienceDirect, and ERIC from 2001 to 2023. (3) Results: The basketball test battery can be used to improve and monitor basketball training. Basketball players with lower levels of ID achieved better results, especially those with disabilities of the II and III degrees. Futsal has a positive impact on the coordination, and the differences between the test results of the vertical jump with and without an arm swing, that can be seen indirectly as a coordination factor, were statistically significant. (4) Conclusions: Basketball is recommended as an effective and practical rehabilitation program for children, adolescents, and youth with ID and DS. Futsal is an interesting and helpful activity for individuals with ID as well.

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Next-Gen Manufacturing: Machine Learning for Surface Roughness Prediction in Ti-6Al-4V Biocompatible Alloy Machining

(MDPI, 2023) Kosarac, Aleksandar; Tabakovic, Slobodan; Mladjenovic, Cvijetin; Zeljkovic, Milan; Orasanin, Goran

Mechanical engineering plays an important role in the design and manufacture of medical devices, implants, prostheses, and other medical equipment, where the machining of bio-compatible materials have a special place. There are a lot of different conventional and non-conventional types of machining of biocompatible materials. One of the most frequently used methods is milling. The first part of this research explores the machining parameters optimization minimizing surface roughness in milling titanium alloy Ti-6Al-4V. A full factorial design involving four factors (cutting speed, feed rate, depth of cut, and the cooling/lubricating method), each having three levels, implies the 81 experimental runs. Using the Taguchi method, the number of experimental runs was reduced from 81 to 27 through an orthogonal design. According to the analysis of variance (ANOVA), the most significant parameter for surface roughness is feed rate. The second part explores the possibilities of using different ML techniques to create a predictive model for average surface roughness using the previously created small datasets. The paper presents a comparative analysis of several commonly used techniques for handling small datasets and regression problems. The best results indicate that the widely used machine learning algorithm Random Forest excels in handling regression problems and small datasets.