Circulation of the Omicron variant with the reemergence of the N501Y mutation along with many others in the spike protein has once again stirred the academic community. Interestingly, tracing the genetic diversity of SARS-CoV-2 shed light on a less frequent N501Y+ Delta variant which has been in the global circulation for some time before the Omicron appearance. This paper aims to present the molecular characteristics of the SARS-CoV-2 Spike_N501Y+ Delta variant detected in Bosnia and Herzegovina. The study was conducted during November and December 2021. All patients were tested using real-time RT-PCR for detection of SARS-CoV-2. A representative number of SARS-CoV-2 positive samples was pre-screened using VirSNiP SARS-CoV-2 Spike N501Y kit. The characterization of the viruses was carried out with Illumina RNA Prep with enrichment and the Respiratory Virus Oligo Panel kit. Among the analyzed sequences, we found two isolates of the Delta variant that differ from their most related clade- GK AY.4.3 in additional mutations N501Y and L54F. In this study, we described the presence of a rare form of Delta variant with Spike_N501Y mutation in the shadow of the Omicron emergence. Despite the set of mutations in the Spike protein, this form of Delta variant does not indicate the large-scale consequences for the general population. Further functional studies of this form could provide more information about its antigenicity and infectivity.

Introduction: Machine learning (ML) plays a significant role in the fight against the COVID-19 (officially known as SARS-CoV-2) pandemic. ML techniques enable the rapid detection of patterns and trends in large datasets. Therefore, ML provides efficient methods to generate knowledge from structured and unstructured data. This potential is particularly significant when the pandemic affects all aspects of human life. It is necessary to collect a large amount of data to identify methods to prevent the spread of infection, early detection, reduction of consequences, and finding appropriate medicine. Modern information and communication technologies (ICT) such as the Internet of Things (IoT) allow the collection of large amounts of data from various sources. Thus, we can create predictive ML-based models for assessments, predictions, and decisions. Methods: This is a review article based on previous studies and scientifically proven knowledge. In this paper, bibliometric data from authoritative databases of research publications (Web of Science, Scopus, PubMed) are combined for bibliometric analyses in the context of ML applications for COVID-19. Aim: This paper reviews some ML-based applications used for mitigating COVID-19. We aimed to identify and review ML potentials and solutions for mitigating the COVID-19 pandemic as well as to present some of the most commonly used ML techniques, algorithms, and datasets applied in the context of COVID-19. Also, we provided some insights into specific emerging ideas and open issues to facilitate future research. Conclusion: ML is an effective tool for diagnosing and early detection of symptoms, predicting the spread of a pandemic, developing medicines and vaccines, etc.

We aimed to investigate whether the addition of whole-body vibration (WBV) to resistance training (RT) will be more beneficial in improving lower limbs muscle strength, power and sprinting performance than RT alone in young basketball players. We recruited 30 young basketball players to participate in four weeks of training and assessments. They were randomized into the WBV resistance training group (VRTG, n=15) and a conventional resistance training group (RTG, n=15), performed 3 times per week. At the beginning and end of the four weeks a back squat one-repetition maximum (1RMBS), Countermovement jump (CMJ), Squat jump (SJ), 10 meters (10m) and 20 meters sprint (20m) were performed. We found that: a) VRTG when added to RT can induce greater improvements in 1RMBS (percentage difference [PD], 8.4%, p < 0.001), CMJ (PD = 4.7%, p = 0.001) and SJ (PD = 1.6, p = 0.02) than RT alone. In contrary, significant time*group interactions were found for sprint times at 10m (p=0.08, F=3.2) and 20m (p=0.17, F=1.93). An additional 4-week WBV resistance training program proved effective in improving lower limb power and strength in young basketball players. When performed on a vibration platform (with accurate and constant vibration stimulus parameters), the resistance exercises were superior to their conventional forms and resulted in additional gains on measures of muscle power and strength, while sprint performance remained unchanged.

: Complexes of general formula [ Ru(bpy) 2 (L) ]CF 3 SO 3 , where bpy = 2,2′ - bipyridine, and L = Schiff bases derived from salicylaldehyde and amino acids (glycine ( 1a), cysteine (1b), methionine (1c ) and phenylalanine ( 1d )) were synthesized. Characterization based on elemental analysis, Ru content, mass, infrared and electronic spectra confirmed RuN 5 O coordination unlike 1b where coordination occurred via azomethine nitrogen and cysteine sulfur. Cyclic voltammograms, except 1b, showed several quasi- reversible redox pairs in the positive potential range, the first located at about 0.5 V, corresponding to similar heteroleptic Ru(II) bipyridyl complexes. Biological activity was tested by interactions with DNA and BSA. DNA binding constants of order 10 3 M − 1 , suggest groove binding due to bpy ligand and hydrogen bonding of the OH and CO groups from the imine moiety. In vitro BSA protein inhibition assay performed by spectrofluorimetry showed Complex : BSA binding in 1 : 1 ratio with K b of 10 4 M − 1 order. Cytotoxicity studies by MTT assay for 72 h of drug action revealed activity of 1a and 1d against breast cancer MCF- 7 cells with IC 50 values 32 ± 8 and 26 ± 1µM, respectively.

In this paper, a novel method for the magnetic flux density estimation in the vicinity of multi-circuit overhead transmission lines is proposed. The proposed method is based on a fully connected feed-forward artificial neural network model that is trained to estimate the magnetic flux density vector components for a range of single-circuit overhead transmission lines. The proposed algorithm is able to simplify estimation process in instances when there are two or more geometrically identical circuits present in the multi-circuit overhead transmission line. In such instances, artificial neural network model is employed to estimate the magnetic flux density distribution over a considered lateral profile for only one of such circuits. The magnetic flux density estimates of the other geometrically identical circuits are derived from these results. The proposed methodology defines the resultant magnetic flux density for the multi-circuit overhead transmission line in terms of the contributions made by individual circuits. The application of the proposed magnetic flux density estimation method is demonstrated on several multi-circuit configurations of overhead transmission lines. The performance of the proposed method is compared with the Biot-Savart law based method calculation results as well as with field measurement results.

: The aim of the research was to measure the basic external characteristics of Pramenka sheep (ridge height, from the ground to the highest ridge point, lower back height, from the ground to the highest lower back point, hull lenght, chest width, chest depth, chest circumference, hull circumference, shin circumference, body weight) with the aim of comparing the measured values in order to asses the impact of breeding areas on them. Domestic kind Pramenka (Kupres strain, Vlašić strain) were used in this research. There were 36 sheeps in the experimental group, and the same number in the control group. Experimets were performed on long-term purebred herds of Pramenka on three private farms in the Una-Sana Canton, 2 municipalities of Cazin, 1 municipality of Bihać, as well as on one private farm in Central Bosnia (area of the municipality of Travnik), and one in the municipality of Kupres (Livno Canton). Based on the presented average values of the external properties of Pramenka sheep and their variations for all examined localities, we can conclude the following: that the sheep are longer in relation to their height and that the Pramenka is of medium physical development, that the differences in body measures in the examined areas are greatly influenced by the origin of certain breeds of Pramenka sheep (Kupres strain, Vlašić strain), as well as the quality of pastures and unequal access to food. By comparing our results with the results of other authors who examined the exterior of other strains of Pramenka (from region in Croatia: Rab, Lika, Pag, Istria) in our wider enviroment concluded that Vlašić Pramenka is the largest strain of Pramenka in this area.

Introduction. Lean principles have been successfully adapted to the healthcare environment, enabling hospitals and clinics to streamline their operations and focus on value as perceived by their patients. Many healthcare facilities have implemented lean principles to improve their efficiency. The subject of this paper is the lean concept, the essence of which is implementation of methods that affect the efficiency and quality of providing health services. Our aim was to point out the necessity of applying modern concepts in healthcare. Material and Methods. The primary sources of data were obtained through research on the opinions and possibility of applying the lean concept in hospitals in Bosnia and Herzegovina. We presented the results on the effectiveness of the lean concept in hospitals that apply it. Results. After implementation of the lean concept in an Italian hospital, the results showed a positive impact on the waiting time for admission, faster discharge, and faster flow of information. The results of the research in Bosnia and Herzegovina showed that there were positive attitudes towards the effects that would be achieved by implementing the lean concept. Conclusion. The implementation of the lean concept would reduce medical waste, which would positively affect the quality of health care services.

The aim of our manuscript is to report of a successful perinatal outcome after treatment of acute polyhydramnios caused by duodenal atresia. A 34-year-old G3P1 was referred due to polyhydramnios in the 30th week of pregnancy. Ultrasound revealed polyhydramnios, amniotic fluid index (AFI) 28, and a double bubble sign that indicated duodenal atresia and dilatated oesophagus. In the 32nd week of gestation, the volume of amniotic fluid increases, AFI 35, along with symptoms of dyspnea and abdominal pain. Due to the clinical picture and the early gestational age, it was decided to perform an amnioreduction. In the 36th week of gestation cesarean section was performed. The baby was taken for exploratory laparotomy and found to have a simultaneous complete duodenal atresia and annular pancreas with associated dilated the first portion of the duodenum and the stomach. A side-to-side duodenoduodenostomy via single-layer hand-sewn anastomosis was performed over a transanastamotic feeding tube (TAFT). The postoperative course was uneventful. Amnioreduction is useful and safe in the treatment of acute polyhydramnios caused by duodenal atresia and thus has a significant role in prolonging gestation until fetal maturity.

Obesity is a disease of excessive accumulation of adipose tissue due to an increased energy intake which is disproportionate to the energy expenditure in the body. The visceral adipose tissue in the obese accumulated in that way increases the risk of developing a number of metabolic and cardiovascular diseases. Disorders such as diabetes, dyslipidemia, inflammation, endothelial dysfunction and mitochondria can contribute to the development of oxidative stress, which is especially pronounced in the abdominal type of obesity. Obesity can induce systemic oxidative stress through a variety of biochemical mechanisms. Although ROS is generated in a large number of cells, mitochondria play a significant role in their intracellular production through the process of oxidative phosphorylation of the respiratory chain, and in fatty acid oxidation reactions. Oxidative stress is a unique link between the various molecular disorders present in the development of insulin resistance that plays a key role in the pathogenesis and progression of chronic metabolic, proinflammatory diseases. The progression of insulin resistance is also affected by inflammation. Both of these can be the cause and the consequence of obesity. The synthesis of the inflammatory mediators is induced by oxidative stress, thus bringing the inflammation and the oxidative stress into a very significant relation. This review aims to highlight recent findings on the role of oxidative stress in the pathogenesis of obesity, with special reference to the mechanisms that explain its occurrence.