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Publikacije (46461)

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N. Mandić-Kovačević, I. Kasagić-Vujanović, Biljana Gatarić, R. Škrbić, Ana Popović Bijelić

Background/Objectives: The importance of fixed-dose combinations (FDCs) for the treatment of hypertension is well established. However, from a stability perspective, FDCs present a challenge since the degradation of one active pharmaceutical ingredient (API) can be affected by the presence of another API. The aim of this study was to compare the degradation behaviors and evaluate the degradation kinetics of three antihypertensive drugs, perindopril tert-butylamine (PER), amlodipine besylate (AML), and indapamide (IND). Methods: The degradation processes were studied using the previously developed reverse phase high-performance liquid chromatographic (RP-HPLC) method after exposing each drug individually, as well as the combinations of two/three drugs, to different stress factors, such as light, oxidation, acidic, basic, or neutral pH values at different temperatures. Results: The results show that PER is most unstable under basic conditions and that AML displays a negative, while IND displays a positive effect, on PER stability when combined. AML is most affected by basic conditions and oxidation, and its stability is affected by both drugs positively; IND undergoes extreme photolysis, which is positively affected by AML but negatively by PER. Conclusions: Great care must be taken when formulating FDCs with these three drugs, as well as solutions or oral suspensions adjusted for geriatric or pediatric populations, since the stability of all three drugs is greatly affected by pH conditions, as well as light or oxidation factors and their interactions.

Background: There is no specified diagnostic procedure that can help in determining the cause of death and the diagnosis of drowning because the pathohistological signs are almost identical and non-specified. Aim: Our study aims to recognize and prove diatom appearance in organs from a forensic aspect in Bosnia and Herzegovina, and to examine which is the more specific method in the diagnosis of drowning, the diatom test or the pathohistological finding. Methods: Rats of the recommended body weight were divided into four groups: G1 (n = 8; mechanism of death—asphyxia; cause of death—suffocation, submerged 1 hour after death); G2 (n = 8: mechanism of death-asphyxia; cause of death-suffocation, immersed 72 hours after death); G3 (n = 8: mechanism of death-asphyxia; cause of death-drowning, autopsy immediately after death), and G4 (n = 8: mechanism of death-asphyxia; cause of death-drowning, post mortem 24 hours after death). Results: During the diatom analysis, four species of diatoms, Diatoma vulgaris, Melosira varians, Epithemia adnata, and Cymbella sp, were successfully recovered from the stomach. Microscopic analysis did not detect diatoms in the kidneys and brains of rats, while the pathohistological changes were relatively uniform. Conclusion: Our results propose that the diatom test is a sustainable tool for supporting the diagnosis of drowning in the forensic pathology analysis of the cause of death. This experimental study is a starting point toward the optimization of tests and sampling in cases of unexplained etiology.

N. Mešanović, Elnur Smajić

The goal of this abstract is to present available artificial intelligence (AI) software and tools for the development, assessment, and implementation of artificial intelligence/machine learning in cardio - vascular research and clinical care, ensuring they are safe, reliable

D. You, O. Celebi, D. Abueidda, G. Gengor, Ahmed Sameer Khan Mohammed, S. Koric, H. Sehitoglu

Bin Zhou, Archie W Rayner, Edward W Gregg, Kate E. Sheffer, R. Carrillo-Larco, James E Bennett, Jonathan E. Shaw, C. Paciorek et al.

Amna Bradarević Čeljo, Šejla Švraka, V. Dubravac

Exonormatively oriented EFL speakers are well-disposed towards native varieties, particularly British and American English. Due to the varieties’ overlapping domains of influence, the ques-tion of consistency and preferences for one of the varieties comes into focus. Hence, this study explores Bosnian respondents’ preference for British or American English in pronunciation, orthography, lexis and grammar and their ability to recognise language units as characteristic of one variety or the other. Additionally, the study investigates whether students maintain con-sistency or whether they are inclined to use both varieties interchangeably. The obtained results confirm that Bosnian respondents have a solid knowledge of varietal differences but are highly inconsistent. Still, they prefer the American variety in all domains of language use, to a differing extent though. Keywords: consistency; English in Bosnia and Herzegovina; standardised British English; standardised American English; the System of World Englishes

I. Karabegović, E. Husak, E. Karabegović, M. Mahmić

: It is known that in recent years there have been major changes in all branches of industry, especially in the automotive and electro-electronic industry, because new business methods are on the scene, and production processes are being transformed so that they are flexible. In the automotive and electro-electronic industry, the leading technology is robotic technology, the application of which increases the return on investment. Advanced robotics as the basic technology of Industry 4.0 in the new era of production in the automotive and electro-electronic industry plays a very important role because it enables: mobility, readiness, reliability, adaptability, transformation of production, integration with machines, increase of flexibility, improvement of quality, storage and production systems integrated as Cyber-Physical Systems, workers are freed from routine and repetitive tasks. The paper provides an overview of applied and issued patents in robotic technology, the application of robots in the World and China as the leader in the implementation of robotic technology in the world. An analysis of the implementation of industrial robots, as well as advanced robots in the automotive and electro-electronic industries of China, is given, as well as the forecast of the application in the coming years.

A. Mujanović, D. Windecker, P. Cimflova, T. Meinel, D. Seiffge, E. Auer, M. Arnold, B. Serrallach et al.

Despite recent advances in endovascular therapy, up to half of acute ischemic stroke patients experience incomplete reperfusion (expanded Thrombolysis in Cerebral Infarction, eTICI<3) after intervention. However, many of these patients will achieve complete delayed reperfusion at the 24h follow‐up, which is linked to good clinical outcome and minimal new infarct development. We aimed to systematically review literature and perform a meta‐analysis on the natural evolution of incomplete reperfusion after endovascular therapy. We conducted a systematic review of MEDLINE, Embase and PubMed up until March 1, 2024 using a predefined search strategy. Only full‐text English written articles reporting rates of either favorable (i.e. delayed reperfusion) or unfavorable progression (i.e. persistent perfusion deficit) of incompletely reperfused tissue were included. Primary outcome was the rates of delayed reperfusion 24h post‐intervention and its association with functional independence (modified Rankin Scale, mRS 0‐2) at 90 days post‐intervention. Pooled odds ratios (OR) with 95% confidence intervals (CI) were calculated using a random‐effects model. Publication bias was assessed using funnel plots and the Luis Furuya‐Kanamori (LFK) index. Six studies involving 950 patients (50.7% female; median age 71, IQR 60 ‐ 79) were included. Four studies assessed the evolution of incomplete reperfusion on MRI perfusion imaging, while two studies used DWI and NCCT imaging, where new infarct was used to denote unfavorable progression. Complete delayed reperfusion, or absence of new infarct, occurred in 41% (inter‐quartile range, IQR 33% ‐ 51%) of cases 24h post‐intervention. Achieving delayed reperfusion was associated with higher likelihood of functional independence at 90 days (OR 2.53, 95%CI 1.88 ‐ 3.42). No evidence of publication bias was found (LFK=0.2). Nearly half of patients with incomplete reperfusion achieve complete delayed reperfusion, leading to favorable clinical outcomes. This subgroup of eTICI<3 patients may derive limited or potentially harmful effects from pursuing additional reperfusion strategies (e.g. intra‐arterial lytics or secondary distal thrombectomy). Accurately predicting the progression of incomplete reperfusion could optimize patient selection for adjunctive reperfusion attempts at the end of an intervention.

Fuad Pašić, N. Salkić, Emir Ahmetašević, E. Alibegović, J. Smajić, Lejla Jašarević, Rusmir Softić, Jasmin Hamidović et al.

Bariatric surgery has emerged as the most effective treatment for morbid obesity, offering substantial and sustained weight loss and improvement in comorbid conditions. This paper reviews the development, implementation, and outcomes of bariatric surgery at the University and Clinical Centre Tuzla based on a retrospective analysis of patients who underwent bariatric surgery over a three-year period. A significant weight loss was observed, postoperative complications were minimal, with no in-hospital mortality. The bariatric surgery program demonstrates a significant progress in treating morbid obesity in Bosnia and Herzegovina.

Džana Bašić-ČiČak, Jasminka Hasić Telalović, Lejla Pašić

Background/Objectives: The study of microbiome composition shows positive indications for application in the diagnosis and treatment of many conditions and diseases. One such condition is autism spectrum disorder (ASD). We aimed to analyze gut microbiome samples from children in Bosnia and Herzegovina to identify microbial differences between neurotypical children and those with ASD. Additionally, we developed machine learning classifiers to differentiate between the two groups using microbial abundance and predicted functional pathways. Methods: A total of 60 gut microbiome samples (16S rRNA sequences) were analyzed, with 44 from children with ASD and 16 from neurotypical children. Four machine learning algorithms (Random Forest, Support Vector Classification, Gradient Boosting, and Extremely Randomized Tree Classifier) were applied to create eight classification models based on bacterial abundance at the genus level and KEGG pathways. Model accuracy was evaluated, and an external dataset was introduced to test model generalizability. Results: The highest classification accuracy (80%) was achieved with Random Forest and Extremely Randomized Tree Classifier using genus-level taxa. The Random Forest model also performed well (78%) with KEGG pathways. When tested on an independent dataset, the model maintained high accuracy (79%), confirming its generalizability. Conclusions: This study identified significant microbial differences between neurotypical children and children with ASD. Machine learning classifiers, particularly Random Forest and Extremely Randomized Tree Classifier, achieved strong accuracy. Validation with external data demonstrated that the models could generalize across different datasets, highlighting their potential use.

A. Devedžić, F. F. Urzi, B. Pokorny, G. Vengušt, D. Ž. Vengušt, F. Janžekovič, L. Velić, T. Eterović et al.

Red fox, Vulpes vulpes, is a globally distributed species characterized by its high adaptability to diverse habitats and a broad range of food resources. This remarkable adaptability has allowed the red fox to thrive in various environments, from urban areas to remote wilderness. In this study, we used a set of microsatellite markers for the comparative genetic analysis of red fox populations from two countries. We included populations from the Eastern Alps and the northern Dinaric Mountains in Slovenia, as well as the Central Dinaric Mountains in Bosnia and Herzegovina. We successfully isolated DNA and genotyped 118 red fox samples. Our analyses, which included Bayesian clustering techniques, revealed a weak genetic differentiation among the studied populations. However, it is noteworthy that statistically significant differences in estimates of genetic differentiation were only apparent when comparing the populations between the two countries. Further spatial genetic clustering analyses provided additional insights, unveiling a differentiation into four genetic clusters. These clusters comprised two distinct groups in Bosnia and Herzegovina and two in Slovenia. This pattern of differentiation suggests that isolation by distance is a key factor influencing the genetic structure of the red fox in this studied region. Additionally, our findings highlighted that populations from the Alps and northern Dinaric Mountains exhibit higher genetic diversity and observed heterozygosity compared to their counterparts in the Central Dinaric Mountains. The genetic diversity is also notable when compared to other European red fox populations. Studying genetic diversity is crucial for the resilience and adaptability of populations, ensuring their survival amid environmental changes and human-induced pressures.

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