Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium and enriched genomic features to determine variants with high posterior probabilities of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of those potentially causal variants, using gene expression (expression quantitative trait loci), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways were over-represented among the highest-confidence target genes. Fine-mapping of causal variants and integration of epigenetic and chromatin conformation data identify likely target genes for 150 breast cancer risk regions.

There has been an increasing trend of integrating photovoltaic power plants (PVs). One of the important challenges for distribution system operators is to evaluate the total installed power of a PV that a particular network can host (or PV hosting capacity) while keeping voltage and element constraints within required limits. The major drawback of the existing methods for calculating PV hosting capacity is that they use the same installed power of the PV systems for all simulated PVs, as these methods do not use external data sources about building roofs. As a consequence, this has a significant impact on the final accuracy of the results. This paper presents a probabilistic methodology for calculating the PV hosting capacity in low voltage (LV) networks. The main contribution of this paper is the improved modeling of PV generation using actual building roof data when calculating the PV hosting capacity, as every building is treated according to its actual solar potential. Monte Carlo simulations with incorporated stochastic consumption and PV generation models are utilized for load flow calculations of the actual LV network. The simulation results presented in this paper prove that the proposed methodology increases the accuracy of the final PV hosting capacity calculations.

The purpose of this study is to develop theoretical grounds to investigate relationship between different leadership styles of sport managers and achievement motivation of practitioners in judo sport of Bosnia and Herzegovina (B&H). Practitioners’ perceptions on sport managers’ leadership styles and achievement motivation of practitioners can be used to investigate the mentioned relationships. Methodology used to develop the theoretical model is literature review. Once relevant studies were carefully analyzed, the variables have been defined, relationships among them were explained, and hypotheses were proposed. The validation of proposed model may provide useful findings for sport managers in martial arts, especially judo coaches. Furthermore, practical implications of this study could help sport managers engaged in martial arts to determine more functional leadership style which will result in more effective results. The validation of the proposed model is strongly recommended to different researchers, in different regions at different times.

This study was conducted to confirm preliminary anthropological research indicating the specificity of isolated Selška Valley populations and implement clear mapping of genetic distances between neighboring populations and similar "inland island" populations from the region. The sample consisted of 86 unrelated individuals born in the Selška Valley from the lowland villages (Bukovica, Ševlje, Dolenja Vas, Selca, Železniki and Zali Log) and the mountain villages (Podlonk, Prtovč, Spodnje Danje, Zgornja Sorica and Spodnja Sorica). The for mentioned 15 STR loci (D3S1358, TH01, D21S11, D18S51, Penta E, D5S818, D13S317, D7S820, D16S539, CSF1PO, Penta D, vWA, D8S1179, TPOX and FGA) were analyzed and statistical analysis was applied to determine population-genetics and forensic parameters. The frequencies of 15 STR loci from isolated populations of Slovenian villages, Slovenia, Bosnian mountain villages and Bosnia and Herzegovina were analyzed to calculate genetic distances between them. Our results confirmed a similar genetic pattern between the Selška Valley mountain villages and Slovenian general population as well as Bosnian mountain villages and general Bosnian population. Even if the sample size was relatively small and examined populations were geographically isolated, observed genetic variation within the whole population was relatively high and comparable with neighboring populations. Additional analysis proved that the Selška Valley population is genetically closest to the Slovenian and Austrian populations. On the other hand, comparison with similarly patterned populations confirmed that this population could be recognized as "inland island" population in genetic terms.

Aims: Coronary computed tomography angiography is increasingly employed in the emergency department for suspected acute coronary syndrome patients. The HEART score has been proposed for initial risk stratification in these patients. The aim of this study was to investigate the diagnostic value and efficiency of the HEART score before coronary computed tomography angiography. Methods and results: We included patients suspected of acute coronary syndrome who underwent coronary computed tomography angiography in the emergency department. Based on the HEART score, patients were stratified as low-risk (HEART≤3), intermediate-risk (HEART4–6) and high-risk (HEART≥7). We assessed coronary computed tomography angiography for the presence of significant coronary artery disease (>50% stenosis). The primary outcome, the level of major adverse cardiac events, was a composite endpoint of all-cause mortality, acute coronary syndrome or coronary revascularisation within 30 days. The study population consisted of 340 patients (mean age: 55.6±10.1 years, 44.7% women), major adverse cardiac events occurred in 45 (13.2%) patients. The incidence of major adverse cardiac events in patients stratified as low-risk (35.0%), intermediate-risk (56.8%) and high-risk (8.2%) was 3.4%, 12.4% and 60.7%, respectively. All four low-risk patients with major adverse cardiac events had a HEART score of three. An algorithm where coronary computed tomography angiography is reserved for patients with HEART 3–6 resulted in a sensitivity of 97.8%, specificity of 84.1%, negative predictive value of 99.6% and positive predictive value of 48.4%, while reducing the need for coronary computed tomography angiography by 22% (n=75). Conclusion: The predictive value of coronary computed tomography angiography for 30-day major adverse cardiac events in suspected acute coronary syndrome patients is good, and reserving coronary computed tomography angiography for HEART score 3–6 patients reduces the number of needed coronary computed tomography angiograms without affecting diagnostic accuracy.

Background: This study aimed to investigate the accuracy and reliability of a free mobile heart rate variability (HRV) application in measuring HRV. Methods: Twelve females and 12 males underwent five-minute simultaneous HRV recording from electrocardiogram (ECG) and chest strap connected to a free mobile HRV application (HRVapp) in a supine position. HRV data from ECG and HRVapp were used to examine accuracy and reliability via relative error and intraclass correlation coefficient respectively. Results: The natural log of the square root of the mean of the sum of the squares of differences between adjacent normal to normal intervals (lnRMSSD) exhibited accuracy and high reliability in HRVapp. Conclusion: lnRMSSD in HRVapp can serve as an alternative, low-cost technology for measurement of autonomic activity.

The concept of self-regulated learning (SRL) hasn’t been researched enough in Bosnia and Herzegovina (B&H) and hence this study represents an important milestone in understanding this concept in this context. The conducted research was initiated with the presupposition that SRL had a positive impact on satisfaction and academic performance of students. In order to prove the goals of the research, two main hypotheses were formulated. The results of the exploratory factor analysis (EFA) have shown that the statements within SRL are grouped into five factors: goal-setting, metacognition, environment structuring, computer self-efficacy and social dimension. Multiple regression analysis proved that 4 of 5 factors have a positive impact on satisfaction and academic performance of students. Only goal-setting yielded no significance on the two aforementioned variables, while remaining four factors showed a significant influence on students’ satisfaction and academic performance.

O artigo apresenta a experiência do município de Santo André/SP com a formação de professoras(es) para as questões de gênero, como parte da estratégia de enfrentamento da violência doméstica e do feminicídio. Parte do pressuposto de que o fenômeno da violência doméstica é resultado de um longo processo histórico marcado pelo patriarcado. O trabalho foi desenvolvido pela Secretaria de Políticas para Mulheres de Santo André em parceria com a Secretaria de Educação, através da adesão à campanha “Quem Ama Abraça, fazendo escola”. Dentre as ações, foi realizado curso de extensão universitária com estágio em vários equipamentos de atendimento à mulher vítima de violência. O referencial teórico contou com os estudos feministas e de gênero. Os resultados demonstram que, no período de realização da campanha, o Centro de Referência da Mulher de Santo André registrou aumento no número de atendimentos às mulheres, que procuravam orientações para sair do ciclo da violência e/ou solicitavam abrigo e medidas protetivas. Nas escolas observou-se discussões mais sistemáticas sobre a temática, em que os estereótipos de gênero e as práticas sexistas foram problematizadas. Conclui que é urgente criar, nas escolas, espaços de reflexão como forma de enfrentamento dessa violência que machuca e deixa marcas em crianças, jovens e adultas(os). Recebido em: 14/05/2019Aprovado em: 20/07/2019

Tussilago farfara (coltsfoot) and Verbascum thapsus (mullein) have been used as folk remedies for treating respiratory disorders. The aim of this study was to test the toxicity of the water extracts of T. farfara and V. thapsus in vivo in zebrafish and in vitro in BEAS 2B epithelial bronchial cells. To the best of our knowledge, this is the first study to investigate the antioxidative properties of T. farfara and V. thapsus extracts in cell culture. Our results show that the T. farfara leaf extract does not produce toxic effects on zebrafish embryos or BEAS 2B cells, and that it has a protective effect in BEAS 2B after induction of oxidative stress. The water extract from V. thapsus displayed pronounced toxic effects on zebrafish embryos and BEAS 2B cells and did not exhibit a significant antioxidative effect on BEAS 2B cells exposed to oxidative stress. Our results suggest that the use of T. farfara water leaf extract is potentially safe and effective in treating respiratory disorders, whereas the use of V. thapsus needs further investigation. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. ON173008]

The next step for companies towards smart manufacturing is to process the previously integrated and contextualised data to create manufacturing intelligence. This poster presents a use case for enhancing self-awareness, contextual-awareness, and peer-to-peer awareness to a Programmable Logic Controller (PLC) by using low-cost IoT equipment. An experimental setup is demonstrated investigating enhanced awareness features for the PLC making use of internal and external temperature measurements.

RNA interference (RNAi) is a biological process in which small RNAs regulate gene silencing at the transcriptional or posttranscriptional level. The trigger for gene silencing is double-stranded RNA generated from an endogenous genomic locus or a foreign source, such as a transgene or virus. In addition to regulating endogenous gene expression, RNAi provides the mechanistic basis for small RNA-mediated communication between plant hosts and interacting pathogenic microbes, known as cross-kingdom RNAi. Two core protein components, Argonaute (AGO) and Dicer (DCL), are central to the RNAi machinery of eukaryotes. Plants encode for several copies of AGO and DCL genes; in Arabidopsis thaliana, the AGO protein family contains 10 members, and the DCL family contains four. Little is known about the conservation and specific roles of these proteins in monocotyledonous plants, which account for the most important food staples. Here, we utilized in silico tools to investigate the structure and related functions of AGO and DCL proteins from the model grass Brachypodium distachyon. Based on the presence of characteristic domains, 16 BdAGO- and 6 BdDCL-predicted proteins were identified. Phylogenetic analysis showed that both protein families were expanded in Brachypodium as compared with Arabidopsis. For BdDCL proteins, both plant species contain a single copy of DCL1 and DCL4; however, Brachypodium contains two copies each of DCL2 and DCL3. Members of the BdAGO family were placed in all three functional clades of AGO proteins previously described in Arabidopsis. The greatest expansion occurred in the AtAGO1/5/10 clade, which contains nine BdAGOs (BdAGO5/6/7/9/10/11/12/15/16). The catalytic tetrad of the AGO P-element-induced wimpy testis domain (PIWI), which is required for endonuclease activity, is conserved in most BdAGOs, with the exception of BdAGO1, which lacks the last D/H residue. Three-dimensional modeling of BdAGO proteins using tertiary structure prediction software supported the phylogenetic classification. We also predicted a provisional interactome network for BdAGOs, their localization within the cell, and organ/tissue-specific expression. Exploring the specifics of RNAi machinery proteins in a model grass species can serve as a proxy for agronomically important cereals such as barley and wheat, where the development of RNAi-based plant protection strategies is of great interest.