The aim of this research was to examine the connection of body mass index of eighth grade students and their results in motor abilities test, with the purpose of gaining insight in which tests is that connection more or less expressed, or there isn’t any. The sample of subjects consisted of 66 male and 64 female students from four elementary schools from the Varaždin city area, who attended eighth grade in the school year of 2018/2019 For data analysis, the results of the final testing of motor abilities were used. The sample of variables consisted of six motor tests and two anthropometrical measures, student’s age and their body mass index. For all 10 variables the basic descriptive parameters were calculated (arithmetic mean, standard deviation, minimum and maximum), both for female and male students. Further data processing was done by linear regression analysis – 6 x regression analysis for each motor ability. The results of the regression analysis in male students showed statistically significant connection of body mass index and four variables (standing long jump, shuttle run with carrying objects, sit and reach and pull-up hold), while in female students the connection was significant only in two variables (standing long jump and pull-up hold). Overweight and obesity of children and adolescents is a growing phenomenon all over the world. Motor abilities are an important indicator of physical activity and one of the possible indicators of the level of fitness. Overweight and obesity, as well as underweight, negatively influence the condition and development of motor abilities, and the role of Physical education classes are of great importance in prevention and promotion of healthy living habits of students.

This paper deals with a pragmalinguistic analysis of five ʼiğāza manuscripts written in Arabic during the Ottoman period in the 18th century and one written at the beginning of the 20th century which were issued mostly to Bosnian scholars. ʼIğāza is a specific type of document and textual form common in the Islamic world. It confers upon a recipient the right to transmit a text, a specific knowledge he acquired, or to teach. This article investigates the performance of the speech acts in the corpus from the perspective of historical pragmatics within the framework of the speech act theory and the politeness theory. Since ʼiğāzas are extremely conventionalized texts, different types of speech acts, expressives, directives and declarations, the explicit and implicit form of their realization, as well as the principles of politeness, are viewed with regard to socio-historical contextual factors.

Many fuzzy concepts have been researched and described with uncertain information. Collecting data under uncertain information is a difficult task, especially when there is a difference between the opinions of experts. To deal with such situations, different types of operators have been introduced. This paper aims to develop the Maclaurin symmetric mean (MSM) operator for the information in the shape of the interval-valued spherical fuzzy set (IVSFS). In this article, a family of aggregation operators (AOs) is proposed which consists of interval valued spherical fuzzy Maclaurin symmetric mean operator (IVSFMSM), interval valued spherical fuzzy weighted Maclaurin symmetric mean (IVSFWMSM), interval valued spherical fuzzy dual Maclaurin symmetric mean (IVSFDMSM), and interval valued spherical fuzzy dual weighted Maclaurin symmetric mean (IVSFDWMSM) operators. In this paper, we studied an elucidative example to discuss the evaluation of multi-national companies for the application of the proposed operator. Then the obtained results from the proposed operators are compared. The results obtained are graphed and tabulated for a better understanding.

This paper introduces a heuristic for multiple sequence alignment aimed at improving real-time object recognition in short video streams with uncertainties. It builds upon the idea of the progressive alignment but is cognitively economical to the extent that the underlying edit distance approach is adapted to account for human working memory limitations. Thus, the proposed heuristic procedure has a reduced computational complexity compared to optimal multiple sequence alignment. On the other hand, its relevance was experimentally confirmed. An extrinsic evaluation conducted in real-life settings demonstrated a significant improvement in number recognition accuracy in short video streams under uncertainties caused by noise and incompleteness. The second line of evaluation demonstrated that the proposed heuristic outperforms humans in the post-processing of recognition hypotheses. This indicates that it may be combined with state-of-the-art machine learning approaches, which are typically not tailored to the task of object sequence recognition from a limited number of frames of incomplete data recorded in a dynamic scene situation.

Introduction: Tumors of spleen are generally rare disorders. The most common primary splenic neoplasm is haemangioma, although very rare. Giant, cavernous splenic haemangioma is extremely rare, less than 100 cases have been reported in the literature. Case report: We present a case of giant haemangioma in a 65 years-old patient. Radiological diagnostic methods were not conclusive. Magnetic resonance imaging showed en expansive, heterogenous lesion with signs of necrosis and haemorrhage in the central part. Those characteristics raised suspicion in malignant neoplasm, especially haemangiosarcoma and metastatic neoplasm. The surgical team performed total splenectomy, with special attention to possible bleeding as a severe complication. Pathohistological finding was undoubted. There were certain signs of benign, cavernous splenic haemangioma with areas of coagulative necrosis. Conclusion: We need to be aware of such rare entity. MRI is the most reliable diagnostic method, but the pathohistological analysis is definitive. Surgery is a treatment of choice.

Rare b hadron decays are considered excellent probes of new semileptonic four-fermion interactions of microscopic origin. However, the same interactions also correct the high-mass Drell-Yan tails. In this work, we revisit the first statement in the context of this complementarity and chart the space of short-distance new physics that could show up in rare b decays. We analyze the latest b → qℓ ^+ ℓ ^ − measurements, where q = d or s and ℓ = e or μ , including the most recent LHCb R K ∗ $$ {R}_{K^{\left(\ast \right)}} $$ update, together with the latest charged and neutral current high-mass Drell-Yan data, pp → ℓν and pp → ℓ ^+ ℓ ^ − . We implement a sophisticated interpretation pipeline within the flavio framework, allowing us to investigate the multidimensional SMEFT parameter space thoroughly and efficiently. To showcase the new functionalities of flavio, we construct several explicit models featuring either a Z ′ or a leptoquark, which can explain the tension in b → sμ ^+ μ ^ − angular distributions and branching fractions while predicting lepton flavor universality (LFU) ratios to be SM-like, R K ∗ ≈ R K ∗ SM $$ {R}_{K^{\left(\ast \right)}}\approx {R}_{K^{\left(\ast \right)}}^{\textrm{SM}} $$ , as indicated by the recent data. Those models are then confronted against the global likelihood, including the high-mass Drell-Yan, either finding tensions or compatibility.

One of the goals of research in the field of psychotherapy is to improve knowledge about processes and outcomes of psychotherapeutic treatments. Researchers and professionals have been discussing the best methods for evaluating the effectiveness and efficiency of psychotherapeutic treatments for many years. This paper aims to give an overview of the specifics of quantitative and qualitative research methods, by noting the advantages and disadvantages of these methods in the evaluation of psychotherapeutic treatments. Within the quantitative scientific research, three approaches are described: randomized controlled research, mood enhancement by psychoanalytic and cognitive therapies, and meta-analysis. The most common collection methods (observation, interview, other verbal techniques and visual approaches to data collection) and data analysis (comprehensive process analysis, consensual qualitative research and grounded theory) are described within a qualitative scientific methodology. Finally, an approach related to integration of qualitative and quantitative methodology, as well as this related with application of case studies in the evaluation of psychotherapeutic treatments are described. Scientists and professionals in the field of social sciences should use both quantitative and qualitative research methods, separately or in combination, depending on the goal and problems of the research.

This paper analyzes the most important trends in the manifestation of terrorism inspired by radical Islamic discourse since its appearance in the Middle East and North Africa in the 1980s until the present day. Considering the very specific historical context of this region, an insight into it was unavoidable, in an attempt to identify the key factors that favored the emergence of this type of terrorism, as well as its gradual affirmation in regional and international frameworks. The trends in the manifestation of terrorism inspired by radical Islamic discourse are viewed in this paper through two main time periods. The first covers the period from 1980. to 2000, when this type of terrorism began to appear in the countries of the MENA region, with gradual regional affirmation and expressed ambitions to extend the radius of activity of the newly formed radical Islamist organization to the international level. The second period commenced after the brutal terrorist attacks on American targets on September 11, 2001 and the declaration of war on terrorism, which, based on the indicators presented in this paper, inaugurated the era of progressive and extremely worrying rise of terrorism inspired by radical Islamic discourse, especially from the moment the entry of the Islamic State of Iraq and the Levant (ISIL) onto the international stage in mid-June 2014.

When migrating to Industry 4.0, organizations face the need to adapt to a new context characterized by high levels of uncertainty and complexity. The main driving force in this process are the meta-competencies that ensure high competitiveness and innovativeness. However, their content, classification levels, intersections, and development potential under the influence of digitalization are insufficiently covered by the literature. This article attempts to fill this gap by analyzing the impact of new technologies on meta-competences. It presents a conceptual model based on the assumption that the degree of digitalization enhances the effects of the interaction between the top-level meta-competencies - Foresight, strategic flexibility, and ambidextrousness. Additional factors, the inclusion of which in the model will allow for a better study of the nature of the relationship under consideration, are proposed.

To improve our understanding of the molecular mechanisms underlaying seed priming, RNA transcriptome analysis was performed using primed and non-primed seeds of Silene sendtneri. Seed priming was performed by submergence in 1% silicic acid for 24h at 4°C, followed by rinsing with sterilised water and desiccation to original moisture content. Silene sendtneri is a species with no sequenced genome and annotation of de novo assembly of transcriptome was done against several species. Gene ontology (GO) analysis indicated that genes related to heavy metal transporters and heat shock proteins are differentially expressed after priming with silicic acid. Within these gene categories, genes such as heavy metal-associated isoprenylated plant protein 26-like (log2fold -8.79) were downregulated, while others such as heavy metal ATPase 5 (log2fold 6.46), heat shock factor protein HSF30-like isoform X1 (log2fold 5.98) were upregulated.

Abstract Background Glioma accounts for approximately 80% of malignant adult brain cancer and its most common subtype, glioblastoma, has one of the lowest 5-year cancer survivals. Fifty risk-associated variants within 34 glioma genetic risk regions have been found by genome-wide association studies (GWAS) with a sex difference reported for 8q24.21 region. We conducted an Australian GWAS by glioma subtype and sex. Methods We analyzed genome-wide data from the Australian Genomics and Clinical Outcomes of Glioma (AGOG) consortium for 7 573 692 single nucleotide polymorphisms (SNPs) for 560 glioma cases and 2237 controls of European ancestry. Cases were classified as glioblastoma, non-glioblastoma, astrocytoma or oligodendroglioma. Logistic regression analysis was used to assess the associations of SNPs with glioma risk by subtype and by sex. Results We replicated the previously reported glioma risk associations in the regions of 2q33.3 C2orf80, 2q37.3 D2HGDH, 5p15.33 TERT, 7p11.2 EGFR, 8q24.21 CCDC26, 9p21.3 CDKN2BAS, 11q21 MAML2, 11q23.3 PHLDB1, 15q24.2 ETFA, 16p13.3 RHBDF1, 16p13.3 LMF1, 17p13.1 TP53, 20q13.33 RTEL, and 20q13.33 GMEB2 (P < .05). We also replicated the previously reported sex difference at 8q24.21 CCDC26 (P = .0024) with the association being nominally significant for both sexes (P < .05). Conclusions Our study supports a stronger female risk association for the region 8q24.21 CCDC26 and highlights the importance of analyzing glioma GWAS by sex. A better understanding of sex differences could provide biological insight into the cause of glioma with implications for prevention, risk prediction and treatment.

Introduction: In Australia and New Zealand, liver allocation is needs based (based on model for end-stage liver disease score). An alternative allocation system is a transplant benefit-based model. Transplant benefit is quantified by complex waitlist and transplant survival prediction models. Research Questions: To validate the UK transplant benefit score in an Australia and New Zealand population. Design: This study analyzed data on listings and transplants for chronic liver disease between 2009 and 2018, using the Australia and New Zealand Liver and Intestinal Transplant Registry. Excluded were variant syndromes, hepatocellular cancer, urgent listings, pediatric, living donor, and multi-organ listings and transplants. UK transplant benefit waitlist and transplant benefit score were calculated for listings and transplants, respectively. Outcomes were time to waitlist death and time to transplant failure. Calibration and discrimination were assessed with Kaplan–Meier analysis and C-statistics. Results: There were differences in the UK and Australia and New Zealand listing, transplant, and donor populations including older recipient age, higher recipient and donor body mass index, and higher incidence of hepatitis C in the Australia and New Zealand population. Waitlist scores were calculated for 2241 patients and transplant scores were calculated for 1755 patients. The waitlist model C-statistic at 5 years was 0.70 and the transplant model C-statistic was 0.56, with poor calibration of both models. Conclusion: The UK transplant benefit score model performed poorly, suggesting that UK benefit-based allocation would not improve overall outcomes in Australia and New Zealand. Generalizability of survival prediction models was limited by differences in transplant populations and practices.

The aim of this study is to investigate the determinants of Germany's OFDI in the last 21 years on the set of top ten Germany’s OFDI destination (United States of America, United Kingdom, China, France, Poland, Mexico, India, Turkey, Spain and Russia (Russian Federation)) by using panel data analysis. The research revealed that Germany’s OFDI are driven by market seeking motives (FDI vertical), and also highlighting the importance of the stable political environment, attractive tax environment, more trade openness, and stable macroeconomic environment of the top ten Germany’s partners for attractiveness of the Germany’s OFDI. It indicates that openness of an economy is statistically significant in attracting FDI.

The development of a bimetallic catalyst for a given reaction requires not only the selection of the appropriate metals M1 and M2 but also the control as far as possible of the distribution of the two metals together and at the support surface in the case of supported catalysts. Preparation methods using redox reactions specifically enable the deposition of a second metal M2 at the surface of monometallic M1 nanoparticles, leading in most cases to core‐shell nanoparticles with strong metal‐metal interactions. Various methods are possible depending on the electrochemical potentials of the species involved: either a direct redox reaction, also named galvanic replacement, or the reduction of an intermediate reducing agent activated at the surface of M1. In this minireview, the fundamental bases of the preparation of bimetallic catalysts by both types of redox reactions and the recent advances in that domain are described.