Abstract Racism has implicit and explicit manifestations that perpetuate disparities and negatively influence patient-centered health outcomes. Subsequently, a list of action items was provided to assist medical schools in becoming anti-racist institutions. A deep subject matter knowledge, beliefs, and reflections were a driving force for the management of medical schools or faculty members involved in undergraduate and postgraduate medical education to move forward toward inclusion of anti-racism in traditional medical curriculum or adapting existing training modules on diversity, equity, and inclusion. This paper proposes twelve practical and specific tips for implementing and teaching anti-racism in medical education. These twelve tips elaborate on the proposed actions for leaders in undergraduate and postgraduate medical education, valuable for designing future curricula and educational activities.

The aim of this research was to determine the effects of a six-week preparatory period on the development of speed and agility in female soccer players of “Emina” Women’s Soccer Team of Mostar (n=18), who competed in the Premier League of Bosnia and Herzegovina in the season 2021/22. In the research, variables were applied to determine the basic characteristics of female soccer players: Age (years), Height (cm), Mass (kg), BMI (kg/m2), to assess speed ability: Sprint 5m (s), 10m (s), 20m (s) and agility: 10x5 m test (s), Zig-Zag test (s) and 505 test (s). The average age of female soccer players was 21.27 ± 4.57 years, average height 167.2 cm ± 5.82 cm and average weight 60.4 kg ± 7.36 kg. The dependent samples T-test was run to determine the statistical significance of the differences in arithmetic means between the initial and final measurements. The reported results of the T-test showed that after the six-week preparatory period, the test subjects had a lower mass (t=3.027; df=17; sig.= 0.008; p≤ 0.05) and BMI (t=2.253; df=17; sig.= 0.038; p≤ 0.05). Statistically significant differences at the level of p≤ 0.05, after the program had been completed, were reported for the agility tests 10x5m (t=3.125; df=17; sig.=0.006) and 505 test (t=3.028; df=17; sig.= 0.008). In other variables, positive changes were reported, but they were not statistically significant at the p≤ 0.05 level. We concluded that the six-week preparatory period program produced statistically significant changes in the area of ​​agility and that the training should focus more on improving speed and speed endurance in the given sample of female football players.

Insufficient physical activity and sedentary lifestyle have exposed most of the population with chronicle diseases, to higher risk of infection of COVID-19, with extremely severe consequences and exhausting and long recovery after the illness. Regular physical activity, as one way of prevention and faster recovery from COVID-19, is an important priority for improvement health and quality of life in people. The aim of this paper is to determine the connection between regular physical activity of the population with the presence of symptoms and duration of recovery from COVID-19. Total number of subjects was 100 people of both genders (male 32 and female 68) of younger age (age: 30-44) without existing chronicle diseases and healed from COVID. Data of regularity of exercising, symptoms, and recovery period were obtained by survey of this study: Active group of subjects (A=53) in continuity at least 3 months, two times a week, 60 minutes and Inactive group (N=47), who never exercised, nor they are physically active. Chi-square test was used (χ2 test differences between groups), to determine differences of extensive frequencies. Results of the research showed that there are statistically significant differences between two groups (p0.001) on the behalf of group with active subjects, in terms of severity of symptoms of COVID-19 and their recovery lasted shorter than in inactive group of subjects. Study shows that regular physical exercise has significant impact on human body and is important factor of enhancing immune system, which enables faster recovery and easier dealing with symptoms of COVID-19.

ABSTRACT Traditional therapeutic approaches in the treatment of cancer have many side effects and are often ineffective and non-specific, leading to the development of therapy-resistant tumour cells. Recently, numerous discoveries about stem cells have given a new outlook on their application in oncology. Stem cells are unique because of their biological attributes, including self-renewal, differentiation in different types of specialized cells and synthesis of molecules that interplay with tumour niche. They are already used as an effective therapeutic option for haematological malignancies, such as multiple myeloma and leukaemia. The main goal of this study is to investigate the possible applications of different types of stem cells in cancer treatment and to summarize novel advances, as well as the limitations of their application in cancer treatment. Research and clinical trials that are underway revealed and confirmed the enormous potential of regenerative medicine in the treatment of cancer, especially when combined with different nanomaterials. Nanoengineering of stem cells has been the focus of novel studies in the area of regenerative medicine, such as the production of nanoshells and nanocarriers that enhance the transport and uptake of stem cells in their targeted tumour niche and enable the effective monitoring of stem cell effects on tumour cells. Although nanotechnology has a lot of limitations, it provides new opportunities for the development of effective and innovative stem cell therapies.

This research examines the factors contributing to the exterior material degradation of subsea oil and gas pipelines monitored with autonomous underwater systems (AUS). The AUS have a role of gathering image data that is further analyzed with artificial intelligence data analysis methods. Corrosion and potential ruptures on pipeline surfaces are complex processes involving several competing elements, such as the geographical properties, composition of soil, atmosphere, and marine life, whose eflt in substantial environmental damage and financial loss. Despite extensive research, corrosion monitoring and prediction remain a persistent challenge in the industry. There is a lack of knowledge map that can enable image ausing an AUS to recognize ongoing degradation processes and potentially prevent substantial damage. The main contribution of this research is the knowledge map for increased context and risk awareness to improve the reliability of image-based monitoring and inspection by autonomous underwater systems in detecting hazards and early signs of material degradation on subsea pipeline surfaces.

PurposeThis paper explores how entrepreneurial culture (EC) and organizational learning (OL) determine the entrepreneurial orientation (EO) of new technology-based firms (NTBFs). These NTBFs are located in Isfahan Science and Technology Town (ISTT), Iran. These entities face substantial challenges in a highly-sanctioned economy, which makes adopting, acquiring or transferring new technologies daunting.Design/methodology/approachThis paper analyzes a sample of 200 NTBFs. The participants were trained chief executive officers and observed by applying pre-test and post-test designs. As a final step, empirical data were collected using questionnaires and analyzed accordingly. The structural equation modeling (SEM) with the partial least squares (PLS) approach was used by the SmartPLS2 software.Findings OL was found to mediate the relationship between EC and EO in the studied NTBFs. Additionally, the indirect effect of EC on EO and the direct impact of OL on EO were significant (=1.96). Therefore, this study focuses on selected NTBFs within Iran's particular and distinctive context.Research limitations/implicationsThis study has several limitations. These were the time consuming nature, the lack of cooperation by managers and the COVID-19 pandemic-related challenges. Nonetheless, the findings offer several important implications for practitioners, scholars and policymakers.Originality/valueThe paper sought to explore how EC and OL determine EO in Iranian NTBFs. It, thus, investigates the case of a highly-sanctioned context during the coronavirus pandemic, which imposed several basic and technological limitations on their practices.

Soluble-Klotho (sKl) is the shed ectodomain of the transmembrane protein-Klotho (mKl) that exhibits pleiotropic actions, including lifespan extension, mineral metabolism, slowing-down kidney diseases and cardioprotection. The sKl is derived from the kidneys, but what type/s of renal cells secrete it is unknown. Secondly the respective roles of mKl versus sKl in regulating mineral metabolism is unclear due to the lack of appropriate in vivo models. Here, using scRNA-seq of renal distal-convolution (DC) cells, we found an unexpected pattern revealing that Klotho transcripts ( Kl) are moderately expressed in overall distal convoluted tubule (DCT), but highly enriched in the end of DCT and in connecting tubule (CNT). Immunohistochemistry further confirmed this pattern for mKl protein as well. Next, Kl was knocked-out only in renal DC to check if it affects sKl production. Interestingly, deleting Kl in the DCT and late-DCT+CNT in mice showed ~20% and ~80% reduction in sKl levels, respectively. Expectedly, knocking-out Kl along the entire DC in mice (Kl-KODC) abolished sKl levels. Furthermore, we found that compared to control mice, Kl-KODC mice exhibited reduced renal TRPV5-Ca2+ channel expression, profound calciuria, and loss of bone mineral density. The RNA-seq of automated-sorted DC cells from Kl-KODC mice revealed enhanced caveolae-mediated endocytosis of TRPV5. On the other hand, Kl-KODC mice had normal phosphate metabolism as confirmed by unchanged serum FGF23, serum phosphate, urinary phosphate excretion, and renal NaPi-IIa expression. Our findings reveal that a small population of renal DC cells accounts for the sKl levels. The lack of sKl may leads to disturbed Ca2+ homeostasis and bone loss without affecting phosphate balance in mice. This is the full abstract presented at the American Physiology Summit 2023 meeting and is only available in HTML format. There are no additional versions or additional content available for this abstract. Physiology was not involved in the peer review process.

Abstract This paper aims to provide objective quality metrics assessment for cloud gaming using machine learning algorithms. Three classification algorithms (i.e., Random Forest, Random Three and J-48) have been used for the development of models for objective quality assessment of two metrics: blurriness and blockiness. The results indicate that Random Forest has the best performance in this experimental case of objective quality metrics assessment for cloud gaming. Future research activities will cover comparison of a broad range of objective quality metrics and machine learning algorithms while using larger dataset to enhance the results significance.

Abstract The study investigates effectiveness of selected credit related macro prudential instruments in reducing the correlation between economic and credit growth in European emerging countries between 2000 and 2017. Two GMM (Generalized Method of Moments) estimators are used to empirically investigate the validity of tightening policy actions. Although greater attention to MMPs is found in both European regions the study finds some differences as well. On the level of full sample, the findings confirm our expectation about effectiveness of the selected credit related macroprudential instruments in reducing credit growth. More specifically, the European transition countries proved to be more successful in using macroprudential tools in curbing credit growth than European post-transition countries. It is confirmed that all three employed credit related macroprudential instruments play a key role in curbing credit growth in the expansive stage of business cycle in the European transition countries. It means that a lower economic growth leads to lower effects of credit related macroprudential instruments on credit growth. However, empirical evidence from European post-transition countries shows mixed results followed by the lack of robustness of economic results, but with expected theoretical sign. In fact, introduction of CG limits and FC limits reduce the correlation between GDP growth and credit growth only in one step S-GMM estimator, while a variable of caps on debt-to-income ratio (DTI) not.

Introduction. Bosnia and Herzegovina (B and H) has been recognized for decades as a country with a high risk of diseases caused by hantaviruses.Gap statement. The severe acute respiratory syndrome-associated coronavirus 2 (SARS-CoV-2) pandemic has diverted attention from many pathogens, including hantavirus.Aim. To provide a socio-demographic, temporal, geographical and clinical laboratory overview of the expansion of hantavirus infection cases during the SARS-CoV-2 pandemic in B and H in 2021.Methodology. The RecomLine HantaPlus IgG, IgM immuno-line assay (Mikrogen, Germany) was used to detect IgG and IgM antibodies to hantavirus serotypes in human sera from clinically suspected cases.Results. In 2021 (January-October), the number of confirmed cases of hantavirus infection and tested persons (92/140; 65,71 %) was higher than in the previous 2 years, 2020 (2/20; 10.00 %) and 2019 (10/61; 16.39 %). Most of the infected persons were men (84/92; 91.30 %). Hantavirus infections were recorded from January to October 2021, and the peak was reached in July (25/92; 27.17 %). Six out of 10 cantons in the Federation of Bosnia and Herzegovina (FB and H) were affected, namely Sarajevo Canton, Central Bosnia Canton, Neretva Canton, Zenica-Doboj Canton, Posavina Canton and Bosnian-Podrinje Canton Goražde, in descending order. Of the 38/92 (41.30 %) infected patients with characteristic clinical manifestations of haemorrhagic fever, including renal (mainly) or pulmonary syndrome, 32/92 (34.78 %) were hospitalized in the Clinical Center of the University of Sarajevo. Two cases were detected with dual infection, hantavirus (Puumala) with Leptospira in one and SARS-CoV-2 in another case. The largest number of infections was related to Puumala (PUUV) (83/92; 90.22 %), while the rest of the infections were caused by the hantavirus Dobrava serotype (DOBV).Conclusion. The reported infections were probably caused by exposure of individuals to at-risk areas inhabited by contaminated rodents as natural reservoirs of hantavirus. As a highly endemic area, B and H requires continuous monitoring and increased awareness of this problem.