Background: The use of resolution recovery (RR) in bone and myocardial perfusion imaging is becoming increasingly popular in nuclear medicine departments. RR produces reconstructed images that show improved spatial resolution and signal-to-noise ratio compared with conventional single-photon emission computed tomography (SPECT) images. Objective: To evaluate the impact of the ordered subset expectation maximization (OSEM) RR modality on preserving noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) for short SPECT acquisition. Methods: This prospective study was conducted on 80 patients. Full SPECT acquisition was performed as a standardized protocol, while reduced acquisition was achieved with the Poisson resampling method. Noise, SNR, and CNR were measured for different reconstruction parameters for the same image levels. The impact of surface area and body mass index was also measured for the same reconstruction parameters. Results: The results show significantly higher SNR and CNR for the Evolution for Bone protocol compared to the other two reconstruction protocols for full and reduced SPECT acquisition. With the shortening of the SPECT acquisition, an increase in the value of noise was recorded. SNR and CNR decreased with the reduction in SPECT acquisition. Conclusion: The Evolution for Bone protocol for all three analyzed acquisition protocols had the lowest noise values. The highest SNR and CNR were recorded in the Evolution for Bone protocol for the three acquisition protocols and SPECT acquisition time can be reduced from 20 to 10 min for bone SPECT.

Background: Acute left ventricular free wall rupture (LVFWR) is a life-threatening complication of myocardial infarction that requires urgent intervention. Surgical repair has continued to be the treatment of choice. Studies suggest a posterolateral or inferior infarction is more likely to result in free wall rupture than an anterior infarction. LVFWR generally results in death within minutes of the onset of recurrent chest pain, and on average was associated with a median survival time of 8 hours. Prompt diagnosis and management can lead to successful treatment for LVFWR. Objective: The aim of this article was to present an emergency case with an LVFWR in a COVID-19 patient who suffers from AMI and was treated with PCI stents in the ramus intermedius and circumflex coronary artery. Case report: We present an emergency case with an LVFWR in a COVID-19 patient who suffers from AMI and was treated with PCI stents in the ramus intermedius and circumflex coronary artery. Although dual antiplatelet therapy introduction and good outcome of PCI were achieved, soon after instant thrombosis of both stents appear to result in transmural necrosis and LVFWR. Urgent catheterization was performed and diagnosed in-stent thrombosis where the ventriculography confirmed LVFWR of the posteroinferior wall. Urgent surgery was performed. Transmural necrosis was noticed alongside the incision line. The incision is sawn with 4 U-stitches (Prolen 2.0 with Teflon buttressed stitches). Another layer of fixation was made by Prolen 2.0 running stitches reinforced with Teflon felts from both sides. A large PTFE patch was fixed to epicardium over the suture line by Prolen 6.0 running stitch and BioGlue was injected in-between patch and LV (Figures 8 and 9). After aortic cross-clamp removal, the sinus rhythm was restored. Conclusion: Despite the high mortality, the urgency and the complexity of surgical treatment the early diagnosis plays a key role in the management of postinfarction LVFWR patients presenting a case of preserved postoperative left ventricular function and accomplished good functional status, as presented in our case.

Simple Summary In order to compare responses to different therapies among clinical trials and to differentiate between therapy-induced changes and true tumor progression, reliable response parameters are crucial. With the advent of targeted and immunologic treatments, several assessment tools have been proposed. In this post hoc analysis we compared assessment criteria according to MacDonald, RANO, mRANO, iRANO as well as Vol-RANO and Vol-mRANO in patients with newly diagnosed glioblastoma treated with standard of care (SOC) ± tumor lysate-charged autologous dendritic cells (Audencel). We found that the best correlation between progression-free survival (PFS) and overall survival (OS) was seen for mRANO and Vol-mRANO. Interestingly, iRANO was not superior for predicting OS in patients treated with Audencel. Abstract Introduction: In this post hoc analysis we compared various response-assessment criteria in newly diagnosed glioblastoma (GB) patients treated with tumor lysate-charged autologous dendritic cells (Audencel) and determined the differences in prediction of progression-free survival (PFS) and overall survival (OS). Methods: 76 patients enrolled in a multicenter phase II trial receiving standard of care (SOC, n = 40) or SOC + Audencel vaccine (n = 36) were included. MRI scans were evaluated using MacDonald, RANO, Vol-RANO, mRANO, Vol-mRANO and iRANO criteria. Tumor volumes (T1 contrast-enhancing as well as T2/FLAIR volumes) were calculated by semiautomatic segmentation. The Kruskal-Wallis-test was used to detect differences in PFS among the assessment criteria; for correlation analysis the Spearman test was used. Results: There was a significant difference in median PFS between mRANO (8.6 months) and Vol-mRANO (8.6 months) compared to MacDonald (4.0 months), RANO (4.2 months) and Vol-RANO (5.4 months). For the vaccination arm, median PFS by iRANO was 6.2 months. There was no difference in PFS between SOC and SOC + Audencel. The best correlation between PFS/OS was detected for mRANO (r = 0.65) and Vol-mRANO (r = 0.69, each p < 0.001). A total of 16/76 patients developed a pure T2/FLAIR progressing disease, and 4/36 patients treated with Audencel developed pseudoprogression. Conclusion: When comparing different response-assessment criteria in GB patients treated with dendritic cell-based immunotherapy, the best correlation between PFS and OS was observed for mRANO and Vol-mRANO. Interestingly, iRANO was not superior for predicting OS in patients treated with Audencel.

Simple Summary In order to prevent lamb distress during weaning and avoid the occurrence of oxidative stress leading to diminished production performance, health status, or product quality, feeds rich in polyphenols (anthocyanins) are increasingly used in ruminant feeding. In the present study, lambs were allocated into three groups, with 10 lambs per group. The feed mixture for the control group (C) contained yellow corn. Lambs in experimental group I were fed feed mixtures containing yellow corn replaced by red corn at 50% (RC50). In experimental group II, red corn fully replaced (100%) yellow corn (RC100) in the lambs’ feed. The results of the present study indicate a positive effect of red corn rich in anthocyanins on the metabolic profile without any changes in the productive traits of lambs. Abstract In this study, we aimed to evaluate the effects of different proportions of red corn rich in anthocyanins on the diet of fattening lambs considering their productive traits, blood metabolic profile, and antioxidative status. The research was carried out with 30 Merinolandschaf lambs, 90 days old and weaned. The feed mixture for lambs (n = 10) of the control group contained yellow corn, while in the feed mixture of experimental group I (n = 10), yellow corn was replaced with red corn at 50% (RC50), and in experimental group II (n = 10), yellow corn was 100% replaced with red corn (RC100). An automatic three-part differential haematology analyser was used to determine haematological parameters in whole blood, and biochemical parameters were determined in blood serum using a biochemical analyser. A diet containing red corn did not affect productive traits or the majority of the examined parameters. However, higher blood haemoglobin content, increased aspartate aminotransferase and creatine kinase activity, and decreased glucose and non-esterified fatty acids concentrations were found in the serum of RC100 lambs. These results indicate a positive effect of red corn rich in anthocyanins on the metabolic profile without any changes in the productive traits of lambs.

This issue, 75/1 is mostly dedicated to the environmental impact of landslides, which, due to current climate change, are becoming more and more pronounced around the world and in the Republic of Croatia. The six papers (BOSTJANČIĆ et al., 2022, Fig. 1 poly­ gon 1; FILIPOVIĆ et al., 2022, Fig. 1 polygon 2; FRANGEN et al., 2022, Fig. 1 polygon 3; GULAM et al., 2022, Fig. 1 polygon 4; PODOLSZKI et al., 2022, Fig. 1 polygon 5; POLLAK et al., 2022, Fig. 1 polygon 6) focusing on landslides are the result of the work of a large team of people from the Croatian Geological Sur­ vey, carried out within the framework of the safEarth project, cofinanced by the ERDF and IPA II funds of the European Union. As a part of the Interreg IPA – Cross-border Cooperation Programme Croatia – Bosnia and Herzegovina – Montenegro 2014-2020, the safEarth project was based on cross-border coop­ eration of four partner institutions, namely the Croatian Geological Survey (lead partner), Geological Survey of Montenegro, Faculty of Mining, Geology and Civil Engineering of the Univer­ sity of Tuzla and the Development Agency Žepče d.o.o. The main project activities were focused on landslide susceptibility maps (LSM) as one of the most important data sets in spatial planning The use of high-resolution LiDAR scanning in the research of small landslides based on Croatian examples

The goal of this part of the study was to optimize the sequencing procedure for 16 human genes and their regulatory regions that might be associated with differential immunological response to COVID-19. The study was performed on 60 COVID-19 patients from the General Hospital of Tešanj, Bosnia and Herzegovina, categorized into three groups of mild, moderate, and severe clinical manifestation, based on the diagnosis by the residential physician. Target coding sequences and their regulatory regions were amplified for the following genes: HLA-A, HLA-B, HLA-C, ACE2, IL-6, IL-4, TMPRSS2, IFITM3, IL-12, RIG-I/DDX58, IRF-7, IRF-9, IL-1B, IL-1A, CD55, and TNF-α. DNA was isolated from the whole blood samples stored at -20°C for six months using QIAamp® DNA Mini Kit according to manufacturer’s instructions. Since NGS analysis of target genomic regions was performed on the Ion Torrent GeneStudio™ S5 platforms, libraries were prepared using Ion AmpliSeq™ Library Kit Plus according to manufacturer’s instructions in a protocol optimized for low-quality DNA. Due to dissatisfactory sequencing results, further protocol optimization steps were employed through separating two primer pools, increasing the number of PCR cycles, and decreasing the annealing temperature for the primer pool which showed poorer amplification results. In the end, 36 samples produced optimal results, while the remaining 24 samples will be re-sequenced following repeated sample collection and DNA isolation, accompanied by additional protocol modifications.

Background Bosnia and Herzegovina is among ten countries in the world with the highest mortality rate due to COVID-19. Lack of lockdown, open borders, high mortality rate, no vaccination plan, and strong domestic anti-vaccination movement present serious COVID-19 concerns in Bosnia and Herzegovina. In such circumstances, we set out to study 1) the willingness of general public to receive the vaccine, 2) factors that affect vaccine rejection, and 3) motivation for vaccine acceptance. Methods A cross-sectional study was conducted among 10471 adults in Bosnia and Herzegovina to assess the acceptance or rejection of participants toward COVID-19 vaccination. Using a logistic regression model, we examined the associations of sociodemographic characteristics with vaccine rejection, reasons for vaccine hesitancy, preferred vaccine manufacturer, and information sources. Results Surprisingly, only 25.7% of respondents indicated they would like to get a COVID-19 vaccine, while 74.3% of respondents were either hesitant or completely rejected vaccination. The vaccine acceptance increased with increasing age, education, and income level. Major motivation of pro-vaccination behavior was intention to achieve collective immunity (30.1%), while the leading incentive for vaccine refusal was deficiency of clinical data (30.2%). The Pfizer-BioNTech vaccine is shown to be eightfold more preferred vaccine compared to the other manufacturers. For the first time in Bosnia, vaccine acceptance among health care professionals has been reported, where only 39.4% of healthcare professionals expressed willingness to get vaccinated. Conclusion With the high share of the population unwilling to vaccinate, governmental impotence in securing the vaccines supplies, combined with the lack of any lockdown measures suggests that Bosnia and Herzegovina is unlikely to put COVID-19 pandemic under control in near future.

The focus of research presented in this paper is quantification of the relationship between the traffic safety and roadside advertising structures along a selected road in urban environment. In order to determine correlation, statistical analysis of traffic safety indicators was performed. Then identificcation of characteristics of advertising structures and analysis was done by using multi-criteria evaluation in order to determine their impact on driver distraction. Determination of driver distraction was performed by testing the drivers in real traffic conditions, using specialized measuring equipment. The indicators derived from the research were then analyzed using the methods of regression analysis, and safety.

Just weeks away from the Opening Ceremony of the Beijing 2022 Winter Olympics, the United States, followed by Australia, the United Kingdom, and Canada, has declared a diplomatic boycott of the Games. A diplomatic boycott stipulates that while government officials of these countries will not attend the event, the athletes' scheduled attendance will largely remain intact. An unintended consequence of the boycotts is that they force the attending athletes to cope with the stress and distress associated with the 2022 Winter Olympics in an unfamiliar environment on their own. It is important to underscore that many of the challenges the athletes could face amid the Games are either deep-rooted or unprecedented, ranging from stressors fuelled by the nonstop media reports, the competitions, to the Omicron scares. These insights combined, in turn, underscore the imperative for effective and preemptive mental health support for Olympic athletes. To shed light on the issue, this paper highlights the reasons why timely solutions are needed to adequately safeguard Olympic athletes' mental health and overall wellbeing, and underlines promising technology-based solutions that can be cost-effectively designed and developed for the athletes.

The goal of this research is development, design and manufacturing of CNC milling machine prototype using standard aluminium profiles. Machine is a three axis’s machine and it is developed primarily for education in the field of wood machining. It can be used also for machining of light metal parts. Main initial goal of the machine development was the low cost for its manufacturing. To achieve this goal, rapid prototyping technology was used to manufacture most of the machine parts. In addition, a lot of standard parts are used. The detail methodology for machine development, design and manufacturing are shown in this paper. Design process includes development of CAD models, calculation of all necessary critical parts, selections of materials and development of machine subassemblies and assemblies.

Skin lesions can be an early indicator of a wide range of infectious and other diseases. The use of deep learning (DL) models to diagnose skin lesions has great potential in assisting clinicians with prescreening patients. However, these models often learn biases inherent in training data, which can lead to a performance gap in the diagnosis of people with light and/or dark skin tones. To the best of our knowledge, limited work has been done on identifying, let alone reducing, model bias in skin disease classification and segmentation. In this paper, we examine DL fairness and demonstrate the existence of bias in classification and segmentation models for subpopulations with darker skin tones compared to individuals with lighter skin tones, for specific diseases including Lyme, Tinea Corporis and Herpes Zoster. Then, we propose a novel preprocessing, data alteration method, called EdgeMixup, to improve model fairness with a linear combination of an input skin lesion image and a corresponding a predicted edge detection mask combined with color saturation alteration. For the task of skin disease classification, EdgeMixup outperforms much more complex competing methods such as adversarial approaches, achieving a 10.99% reduction in accuracy gap between light and dark skin tone samples, and resulting in 8.4% improved performance for an underrepresented subpopulation.