Financial Reynolds number works as a proxy for volatility in stock markets. This piece of work helps to identify the predictability and herd behavior embedded in the financial Reynolds number (time series) series for both CNX Nifty Regular and CNX Nifty High Frequency Trading domains. Hurst exponent and fractal dimension have been used to carry out this work. Results confirm conclusive evidence of predictability and herd behavior for both the indices. However, it has been observed that CNX Nifty High Frequency Trading domain (represented by its corresponding financial Reynolds number) is more predictable and has traces of significant herd behavior. The pattern of the predictability has been found to follow a quadratic equation.

Data mining and clustering are important elements of various applications in different fields. One of the areas were clustering is rather frequently used is web intelligence, which nowadays represents an important research area. Data collected from the web are usually very complex, dynamic, without structure and rather large. Traditional clustering techniques are not efficient enough and need to be improved. In this paper, we propose combination of recent swarm intelligence algorithm, bare bones fireworks algorithm, and k-means for clustering web intelligence data. The proposed method was compared with other approaches from literature. Based on the experimental results, it can be concluded that the proposed method has very promising characteristics in terms of the quality of clustering, as well as the execution time.

Ants are emerging model systems to study cellular signaling because distinct castes possess different physiologic phenotypes within the same colony. Here we studied the functionality of inotocin signaling, an insect ortholog of mammalian oxytocin (OT), which was recently discovered in ants. In Lasius ants, we determined that specialization within the colony, seasonal factors, and physiologic conditions down‐regulated the expression of the OT‐like signaling system. Given this natural variation, we interrogated its function using RNAi knockdowns. Next‐generation RNA sequencing of OT‐like precursor knock‐down ants highlighted its role in the regulation of genes involved in metabolism. Knock‐down ants exhibited higher walking activity and increased self‐grooming in the brood chamber. We propose that OT‐like signaling in ants is important for regulating metabolic processes and locomotion.—Liutkevičiūtė, Z., Gil‐Mansilla, E., Eder, T., Casillas‐Pérez, B., Di Giglio, M. G., Muratspahić, E., Grebien, F., Rattei, T., Muttenthaler, M., Cremer, S., Gruber, C. W. Oxytocin‐like signaling in ants influences metabolic gene expression and locomotor activity. FASEB J. 32, 6808–6821 (2018). www.fasebj.org

The paper presents an online two-phase business process model-driven generator of the conceptual database model. The generator is implemented as a web-based, platform-independent tool, in contrast to the existing tools that are dependent on some specific technological platform used for their implementation. Unlike the existing approaches, which are characterised by the direct synthesis of the target model based on business process models represented by a sole concrete notation such as BPMN, the presented generator uses an indirect two-phase approach, which is based on the introduction of a simple domain specific language as an intermediate layer between source and target notations. The implemented online generator enables automatic generation of the target data model represented by UML class diagram, based on business process models represented by two concrete notations: BPMN and UML activity diagram.

OBJECTIVE This study sought to obtain a comprehensive, reliable and valid instrument for evaluation of the presence of dental fear and anxiety (DFA) in children, through evaluation of the reliability and validity of three modified versions of the Children's Fear Survey Schedule-Dental Subscale (CFSS-DS). MATERIALS AND METHODS The study sample comprised children aged 9, 10, 11 and 12 years. The first sample group (200 patients) filled in a modified version of the CFSSDS scale, the second sample group (100 patients) filled in a short form of the Dental Fear Survey Schedule, and the third sample group (100 patients) filled in a short version of the CFSS-DS scale, prior to dental treatment, respectively. In order to determine test-retest reliability, the 184 patients from the first sample group filled in the modified version of the CFSS-DS scale again, prior to their next scheduled dental appointment. RESULTS The modified version of the CFSS-DS scale had the best internal consistency reliability (α=0.907), as well as validity results, compared to the other two instruments used. Test-retest reliability was moderate (Intraclass correlation coefficient: 0.58). CONCLUSIONS Of the three psychometric instruments used for evaluation of DFA presence in children, the modified version of the CFSS-DS scale showed the most clinically adequate reliability and validity values. This study thus provides a new psychometric instrument that should be considered for clinical use in evaluation of DFA presence in 9-12 year-olds, in a clinical setting sample type of children.

Incidence of breast cancer ranges from 27 per 100,000 in Middle Africa and Eastern Asia to 92 per 100,000 in Northern America. It is the fifth most common cause of death from cancer in women, with an estimated 522,000 deaths per year (6.4% of the total). Autosomal dominant inheritance of these cancers is characterized by transmission of cancer predisposition from generation to generation, with around 5-10% of all breast cancers being associated with inherited mutations in BRCA1, BRCA2 and other genes.  Breast and ovarian cancers are strongly associated with BRCA1 and BRCA2 mutations. In this study, we genotyped BRCA1 gene for large genomic rearrangements in breast and ovarian cancer patients from Bosnia and Herzegovina, with aim to assess frequency of large BRCA1 mutations (exon deletions/duplications) in this group. We collected 59 breast cancer samples, as well as other data concerning patients’ histopathological parameters of tumor, like age at diagnosis, cancer type, TNM class, cancer grade, as well as estrogen, progesterone and Her2/neu expression. Following DNA extraction from breast cancer samples (tissue after biopsy), BRCA1 mutations were identified by Multiplex Ligase - Dependent Probe Amplification (MLPA) analysis. Biostatistical analyses were conducted using MedCalc v.9.2.0.0 software. In all statistical tests p<0.05 was considered significant. Mean age at diagnosis was 54±1.75 (range 17 – 80). BRCA1 genomic rearrangements were found in 22% of breast and ovarian cancer patients. Statistically significant associations and correlations were found between BRCA1 genomic rearrangements and cancer type, estrogen, progesterone and Her2/neu expression, but not cancer grade, size, invasiveness or patients’ age

Earlier research has shown that students have tremendous difficulties with understanding certain aspects of rolling without slipping, such as the zero-velocity at the contact point and plausibility of application of the law of conservation of mechanical energy despite action of the friction force. The aim of this research was to explore whether using analogies and reasoning about extreme cases can facilitate conceptualization of the above-mentioned phenomena. A pre-test – post-test quasi-experiment has been conducted, with 93 students in the control group (CG) and 91 students in the experimental group (EG). Whereas control group students received conventional teaching, in the experimental group rolling of a cylinder has been considered as a special case of a tumbling prism for which the number of prism surfaces tended to infinity. The results of analysis of covariance showed that students from the experimental group significantly outperformed their peers from the control group on the Rolling Motion Concept Test (RMCT). Between-group differences were greater on test items that required higher level of cognitive transfer. This research suggests that using analogies and extreme case reasoning can facilitate comprehension of certain seemingly counterintuitive aspects of rolling motion. Keywords: analogy-based teaching, energy conservation, extreme case reasoning, misconceptions, rolling motion.

This paper presents the medical journals published in Bosnia and Herzegovina (BIH) in the period from 1878 to 1945. The first medical journal in BIH may be deemed to be Jahrbuch des Bosnisch-Hercegowinischen Landesspittales in Sarajevo (The Yearbook of the National Hospital of Bosnia and Herzegovina in Sarajevo). In a special part of this journal, doctors from Austro-Hungary serving in Sarajevo wrote scholarly articles about their patients' various ailments. Up to 1945 seven more medical journals were published in BIH: Trezvenost - Organ Jugoslavenskog Saveza Trezvenosti (Temperance - the Journal of the Yugoslav Temperance Society), Zdravlje - Lekarske pouke o zdravlju i bolesti (Health, Medical lessons on Health and Disease), Glasnik Lekarske komore za Bosnu, Hercegovinu, Dalmaciju i Crnu Goru (The Journal of the Chamber of Physicians of Bosnia, Herzegovina, Dalmatia and Montenegro), Glasnik Lekarske komore Vrbaske banovine (Journal of the Chamber of Physicians of Vrbaska banovina, Glasnik Lekarske komore Drinske banovine (Journal of the Chamber of Physicians of Drinska banovina), Vjesnik Zavoda za suzbijanje endemijskog sifilisa u Bosni i Hercegovini (Journal of the Institute for Combatting Endemic Syphilis in Bosnia and Herzegovina) and Časopis za medicinu i biologiju (Journal for Medicine and Biology). CONCLUSION Medical journals published in BIH in the period from 1878 to 1945 were published in times marked by specific political and social circumstances in BIH, in the time when BIH was not independent, and was under the influence of the health culture of the ruling regimes. Most of the authors of the articles published in these journals were citizens of the occupying authorities, although the papers published were mainly the result of research undertaken in BIH.

In this paper, we investigate asynchronous coded caching in fog radio access networks (F-RAN). To minimize the fronthaul load, the encoding set collapsing rule and encoding set partition method are proposed to establish the relationship between the coded-multicasting contents in asynchronous and synchronous coded caching. Furthermore, a decentralized asynchronous coded caching scheme is proposed, which provides asynchronous and synchronous transmission methods for different delay requirements. The simulation results show that our proposed scheme creates considerable coded-multicasting opportunities in asynchronous request scenarios.

Random Fourier features is a widely used, simple, and effective technique for scaling up kernel methods. The existing theoretical analysis of the approach, however, remains focused on specific learning tasks and typically gives pessimistic bounds which are at odds with the empirical results. We tackle these problems and provide the first unified risk analysis of learning with random Fourier features using the squared error and Lipschitz continuous loss functions. In our bounds, the trade-off between the computational cost and the expected risk convergence rate is problem specific and expressed in terms of the regularization parameter and the \emph{number of effective degrees of freedom}. We study both the standard random Fourier features method for which we improve the existing bounds on the number of features required to guarantee the corresponding minimax risk convergence rate of kernel ridge regression, as well as a data-dependent modification which samples features proportional to \emph{ridge leverage scores} and further reduces the required number of features. As ridge leverage scores are expensive to compute, we devise a simple approximation scheme which provably reduces the computational cost without loss of statistical efficiency.

Extensive research confirms the benefits of group work in various educational and business domains. There has, however, been little consideration to rigorous formation of groups, especially project teams, in software engineering disciplines to improve the outcomes of these groups. Previous studies show that the outcome of groups will be affected by a number of different factors, such as the context in which these groups interact, the characteristics and the behaviour of each individual and the group composition. This research evaluates the extent to which it is possible to enhance the group outcomes by systematically reconstructing the groups of students and hence improve the performances and raise the overall outcome level of a software engineering lecture at two universities, the Alpen-Adria University of Klagenfurt and the Technical University of Kosice. An empirical experiment has been carried out involving 69 groups and 140 individuals. The results of this experiment were then compared with historical data of 961 groups (approximately 2,400 students) on group outcomes over a period of 12 years. The findings show statistically significant improvements of the outcomes for those groups that were systematically constructed. These results could enable business leaders and educators to systematically form their groups for improving the outcomes of these groups.