Climate changes and the number of people in the world are increasingly affecting the environment. In order to reduce this impact, there are more and more alternatives to cars with internal combustion. Currently, the most used alternative is electric cars. This research aimed to rank electric cars according to their characteristics. It was selected 13 criteria according to which 20 alternatives were ranked. For this purpose, it was used two methods, DNMEREC (Double normalization Method based on the Removal Effects of Criteria) used to determine criterion weights objectively and DNCRADIS (Double normalization Compromise Ranking of Alternatives from Distance to Ideal Solution) method used to rank alternatives. Here, classical methods for multi-criteria decision-making (MCDM) are extended to contribute to a more stable ranking of alternatives. Unlike similar approaches, the same normalization has been used here, but in two ways, which represents an innovative approach in MCDM. The results of this approach have shown that the best-ranked alternative is A6 (Sono Sion), while the worst-ranked alternative is A2 (Smart EQ forfour). These results were confirmed with a comparative analysis of the results obtained using other MCDM methods and sensitivity analysis. The validation of the results and the application of the Spearman correlation coefficient have shown that the ranking of the alternatives is uniform and more stable when double normalization is applied than when classical methods with their normalization are used. In addition, this decision-making provides support to potential buyers for choosing electric cars.

Abstract More research on the medium- and long-term effects of childhood exposure to war, including orphanhood, is needed. We compared 50 orphans1 who lost their father during the war in Bosnia and Herzegovina (1992–1995) and 50 age- and sex-matched adolescents from two-parent families during 2011–2012 in terms of sociodemographic characteristics, behavioral/emotional problems, depression, resilience, maternal mental health, and perceived social support. The two groups differed on sociodemographic factors, that is, number of children, family composition, income, school grades, and refugeehood. Paternal war orphans did not differ in terms of adolescent mental health and resilience from their nonorphaned peers, controlling for sociodemographic variables. The mothers of orphans had comparably more posttraumatic psychopathology. As for perceived resources for social support, orphans identified those comparably more often among distant relatives and in the community, that is, religious officials and mental health professionals, and less often among siblings, paternal grandparents, paternal and maternal uncles/aunts, school friends and teachers. Our findings suggest that contextual factors may play an important role in orphans' postwar mental health.

Energy consumed by trams is studied in many papers, with a wide diversity of approaches regarding how to model and solve this problem. A novel approach to modeling the power consumption of trams is presented in this paper. To identify the unknown parameters influencing the rolling resistance force acting on the tram, it is necessary to measure the power consumption and speed of a single tram (or multiple trams if there are different car types in operation). The developed model of the tram is calibrated with data from the Sarajevo tram system. Simulation results are compared with measurements and a good correlation was obtained. The power consumption model of the tram with identified parameters can be further used to develop a framework for the power consumption estimation of the traction substation.

Serum levels of testosterone (ST) and high-density lipoprotein (HDL) are generally associated with atherosclerosis in male patients over 50 years with critic iliac stenosis (TASC II A and B) and cardiovascular disease with significant changes in HDL and low-density lipoprotein (LDL). In addition to the standard therapy, combined medicamentous therapy and adequate model of exercise are also important factors as medicines can improve HDL levels and primary bypass and endovascular potency impacting positively on improvement of ST or it can be the following testosterone replacement therapy (TRT) comprising cardiovascular disease prevention and vascular treatment as adjunct therapy options after endovascular and vascular surgical procedures. The aim of the study is to identify the association between HDL and ST after surgical and endovascular intervention on the iliac segment (TASCII A and B), as well as cardiovascular risk factors with modified medium activity (MET) <6 with short interval increase over >6 (MET), with total duration of 30–60 minutes. It also attempts to remodel a patient behavioral pattern, optimize ST levels and link them to outcomes and patency of vascular procedures on the iliac segment. Materials and methods. 108 selected male patients with cardiovascular disease combined with metabolic syndrome and critical iliac artery stenosis (TASC II A and B) were examined during 2014–2018, 4 years after invasive and minimal invasive treatment (54 patients were treated with surgical Dacron reconstruction and 54 patients – with endovascular treatment on short segment of critical iliac artery stenosis (TASC II A and B). Results. In the total population, no difference was observed in changes of constraint-induced movement therapy between the standard exercise group and the control one after 4 years from baseline. However, there was no significant interaction between the effect of exercise trainings and primary bypass potency within 4 years. Conclusions. Primary effects of endovascular procedure and Dacron bypass revascularization raise the risk of elevated testosterone levels after 4 years of group training but does not provide adequate answers to questions as to whether higher levels of ST have any major influence on primary bypass potency preventing further progression of cardiovascular disease and general symptomatic and asymptomatic atherosclerosis. However, exercise and TRT can be potential adjunctive therapeutic options for a future supporting postsurgical and endovascular illiac treatment in cardiovascular patients with low testosterone levels.

Current monolithic quantum computer architectures have limited scalability. One promising approach for scaling them up is to use a modular or multi-core architecture, in which different quantum processors (cores) are connected via quantum and classical links. This new architectural design poses new challenges such as the expensive inter-core communication. To reduce these movements when executing a quantum algorithm, an efficient mapping technique is required. In this paper, a detailed critical discussion of the quantum circuit mapping problem for multi-core quantum computing architectures is provided. In addition, we further explore the performance of a mapping method, which is formulated as a partitioning over time graph problem, by performing an architectural scalability analysis.

Background and Objectives: Gaucher disease (GD) is a lysosomal storage disorder with the genetic autosomal recessive transmission. Bone involvement is a prevalent finding in Gaucher disease. It causes deformity and limits daily activities and the quality of life. In 75% of patients, there is bone involvement. This review aims to evaluate the principal findings in the jaw by a Cone-beam computed tomography (CBTC) and X-ray orthopantomography; Materials and Methods: PubMed, Web of Science, Lilacs and Scopus were systematically searched until 31 December 2022. In addition, a manual search was performed using the bibliography of selected articles and a Google Scholar search. Clinical studies were selected that considered principal radiographic findings in radiography in a group of patients affected by GD. Results: Out of 5079 papers, four studies were included. The main findings are generalized rarefaction and enlarged narrow space, anodontia. Conclusions: The exact mechanism of bone manifestation is probably due to the infiltration of Gaucher cells in the bone marrow and, consequently, the destruction of bone architecture. All long bones are a potential means of skeletal manifestation. The jaw is more affected than the maxilla, and the principal features are cortical thinning, osteosclerosis, pseudocystic lesions, mental demineralization, flattening in the head of the condyle, effacement of anatomical structures, thickening of maxillary sinus mucosa. The dentist plays a crucial role in diagnosing and treating these patients. Sometimes the diagnosis can be made by a simple panoramic radiograph. All long bones are affected, and the mandible is particularly involved.

Metastatic melanoma evolution was illustrated through research autopsy and extensive multiomic profiling and revealed the diverse routes to treatment resistance, including extensive copy-number alterations, mutations in key drivers, and extrachromosomal DNA.

This article aims to highlight how Islamic Religious Education in Bosnia and Herzegovina, a country of rich cultural and religious diversity, promotes and advocates intercultural values of diversity, tolerance, solidarity, peace and dialogue in the context of contribution to intercultural values in pluralistic European cultures. This article also emphasizes the growing need to raise inclusive religious and intercultural awareness. Further, this article provides a content analysis of the BH unified curriculum of confessional Islamic Religious Education (IRE), a subject that is incorporated in all state-maintained schools, as well as the analyses of intercultural values embedded in Islamic higher education programs of the Faculty of Islamic Studies at the University of Sarajevo, which prepares religious education teachers and mu’allims. The purpose of this article is also to review the practices and projects which center around the intercultural and interreligious development of teachers and students through practical experience with intercultural dialogue.

This study aimed to investigate the effect of four green extraction techniques (ultrasound-assisted extraction, UAE; supercritical fluid extraction, SFE; subcritical water extraction, SWE; and extraction using deep eutectic solvents, DES) on the extraction of targeted flavonoids from edible feijoa flowers. The bioactive components in the obtained extracts were quantified by High-Performance Liquid Chromatography—Photodiode Array Detector (HPLC-PDA). Moreover, total polyphenol content and antioxidant activity by DPPH•, ABTS•+, FRAP, and CUPRAC assays were investigated. UAE generally gave the highest yields for isoquercitrin and quercetin content (18.36–25.33 and 10.86–16.13 µg/g), while DES extraction with choline chloride:lactic acid (1:2) and H2O content of 50% gave the highest yield of chrysanthemin (90.81 µg/g). The highest yield of flavone (12.69 mg/g) was obtained with supercritical CO2 at 300 bar. Finally, UAE gave the highest total polyphenol content (ca. 64 mg GAE/g) and antioxidant activity at 70 °C during 30 min with 40% (0.84 mmol TEAC/g and 2.25 mmol Fe2+/g, for ABTS•+ and CUPRAC, respectively) and 60% ethanol-water solution (0.49 mmol TEAC/g and 2.09 mmol Fe2+/g, for DPPH• and FRAP, respectively). The eco-friendly extraction techniques resulted in selective methods capable of extracting targeted bioactive compounds from edible feijoa flowers.

Intelligent manufacturing is becoming increasingly important due to the growing demand for maximizing productivity and flexibility while minimizing waste and lead times. This work investigates automated secondary robotic food packaging solutions that transfer food products from the conveyor belt into containers. A major problem in these solutions is varying product supply which can cause drastic productivity drops. Conventional rule-based approaches, used to address this issue, are often inadequate, leading to violation of the industry's requirements. Reinforcement learning, on the other hand, has the potential of solving this problem by learning responsive and predictive policy, based on experience. However, it is challenging to utilize it in highly complex control schemes. In this paper, we propose a reinforcement learning framework, designed to optimize the conveyor belt speed while minimizing interference with the rest of the control system. When tested on real-world data, the framework exceeds the performance requirements (99.8% packed products) and maintains quality (100% filled boxes). Compared to the existing solution, our proposed framework improves productivity, has smoother control, and reduces computation time.

In modern cardiology, sodium‐glucose cotransporter 2 (SGLT2) inhibitors are critical components of heart failure (HF) treatment algorithms and exert their effects primarily by preventing glucose reabsorption and facilitating its urinary excretion. The objective was to systematically review randomized controlled trials (RCTs) assessing the effects of SGLT2 inhibitors, particularly canagliflozin, empagliflozin, dapagliflozin, ertugliflozin, sotagliflozin (dual SGLT inhibitor), and their use in HF. Systematic searches of PubMed/Medline, The Cochrane Central Register of Controlled Trials (CENTRAL), and ClinicalTrials.gov databases were performed. There were no restrictions imposed on the date and status of publication; however, there were restrictions on language for the searched studies. A total of 1139 records were identified in the bibliographic searches from both databases and the register of choice for this systematic review. Following duplicate removal, screening for titles and abstracts, and thorough assessment of full‐text articles, 12 RCTs met the inclusion criteria. Altogether, 83 878 patients were included in this review. Among the included studies, two RCTs, with six respective reports, investigated canagliflozin, four RCTs with 13 derived reports investigated dapagliflozin, three RCTs with 12 separate reports studied the effects of empagliflozin, one RCT and its three respective reports assessed ertugliflozin's effects, and two RCTs with one added report investigated the dual inhibitor sotagliflozin. Pooled meta‐analytic effects of SGLT2 inhibitors were as follows: on atrial fibrillation odds ratio (OR) = 0.83, 95% confidence interval (CI): 0.68–1.01, prediction interval (PI): 0.57–1.19; on HF hospitalization OR = 0.69, 95% CI: 0.60–0.78, PI: 0.60–0.78; on cardiovascular death OR = 0.82, 95% CI: 0.58–1.15, PI: 0.42–1.60; and on major adverse cardiovascular events OR = 0.90, 95% CI: 0.77–1.06, PI: 0.71–1.15. SGLT2 inhibitors significantly improve the quality of life in HF patients. Their beneficial effects on HF, especially in left ventricular dysfunction, have made their use possible irrespective of diabetes mellitus or atrial fibrillation status.