There is a great demand for accurate non‐invasive measures to better define the natural history of disease progression or treatment outcome in Duchenne muscular dystrophy (DMD) and to facilitate the inclusion of a large range of participants in DMD clinical trials. This review aims to investigate which MRI sequences and analysis methods have been used and to identify future needs. Medline, Embase, Scopus, Web of Science, Inspec, and Compendex databases were searched up to 2 November 2019, using keywords “magnetic resonance imaging” and “Duchenne muscular dystrophy.” The review showed the trend of using T1w and T2w MRI images for semi‐qualitative inspection of structural alterations of DMD muscle using a diversity of grading scales, with increasing use of T2map, Dixon, and MR spectroscopy (MRS). High‐field (>3T) MRI dominated the studies with animal models. The quantitative MRI techniques have allowed a more precise estimation of local or generalized disease severity. Longitudinal studies assessing the effect of an intervention have also become more prominent, in both clinical and animal model subjects. Quality assessment of the included longitudinal studies was performed using the Newcastle‐Ottawa Quality Assessment Scale adapted to comprise bias in selection, comparability, exposure, and outcome. Additional large clinical trials are needed to consolidate research using MRI as a biomarker in DMD and to validate findings against established gold standards. This future work should use a multiparametric and quantitative MRI acquisition protocol, assess the repeatability of measurements, and correlate findings to histologic parameters.

Deep learning (DL) and the collocation method are merged and used to solve partial differential equations (PDEs) describing structures' deformation. We have considered different types of materials: linear elasticity, hyperelasticity (neo‐Hookean) with large deformation, and von Mises plasticity with isotropic and kinematic hardening. The performance of this deep collocation method (DCM) depends on the architecture of the neural network and the corresponding hyperparameters. The presented DCM is meshfree and avoids any spatial discretization, which is usually needed for the finite element method (FEM). We show that the DCM can capture the response qualitatively and quantitatively, without the need for any data generation using other numerical methods such as the FEM. Data generation usually is the main bottleneck in most data‐driven models. The DL model is trained to learn the model's parameters yielding accurate approximate solutions. Once the model is properly trained, solutions can be obtained almost instantly at any point in the domain, given its spatial coordinates. Therefore, the DCM is potentially a promising standalone technique to solve PDEs involved in the deformation of materials and structural systems as well as other physical phenomena.

Multimodality of input in incidental L2 vocabulary learning has recently been a topic of interest among language acquisition researchers, yet the results have been somewhat contradictory. This study seeks to compare the impacts of two different multimodalities on incidental L2 vocabulary learning, namely, reading-plus-watching (experimental group I) vs. reading-plus-listening (experimental group II), as compared to the reading only condition, which is included as a control measure. Experimental group I watched and read the transcriptions of four news texts with electronic glosses for the target words, while experimental group II read and listened to the same news texts again with electronic glosses for the same 20 target words. Next, the two experimental groups swapped roles with a new set of four news texts glossed for another group of 20 target words. The control group only read the same eight news texts without glosses. The results suggest that reading-plus-listening can be a more conducive multimodal presentation for incidental vocabulary learning as compared to reading-plus-watching. The results also challenge the validity of some principles of the Cognitive Theory of Multimedia Learning in incidental L2 vocabulary learning, while providing supporting evidence for some other principles.

The increasing incidence of West Nile virus (WNV) in the Euro-Mediterranean area warrants the implementation of effective surveillance programs in animals. A crucial step in the fight against the disease is the evaluation of the capacity of the veterinary labs to accurately detect the infection in animal populations. In this context, the animal virology network of the MediLabSecure project organized an external quality assessment (EQA) to evaluate the WNV molecular and serological diagnostic capacities of beneficiary veterinary labs. Laboratories from 17 Mediterranean and Black Sea countries participated. The results of the triplex real time RT-PCR for simultaneous detection and differentiation of WNV lineage 1 (L1), lineage 2 (L2) and Usutu virus (USUV) were highly satisfactory, especially for L1 and L2, with detection rates of 97.9% and 100%, respectively. For USUV, 75% of the labs reported correct results. More limitations were observed for the generic detection of flaviviruses using conventional reverse-transcription polymerase chain reaction (RT-PCR), since only 46.1% reported correct results in the whole panel. As regards the serological panel, the results were excellent for the generic detection of WNV antibodies. More variability was observed for the specific detection of IgM antibodies with a higher percentage of incorrect results mainly in samples with low titers. This EQA provides a good overview of the WNV (and USUV) diagnostic performance of the involved veterinary labs and demonstrates that the implemented training program was successful in upgrading their diagnostic capacities.

OBJECTIVE Orthodontic anomalies with impaired facial aesthetics and disturbed oral functions have a major effect on emotional and social development. It is necessary to determine the degree of acceptance of treatment. This study includes an evaluation of the Index of Orthodontic Treatment Need (IOTN) according to the Aesthetic Component (AC) of dental health in schoolchildren. METHODS The research included 300 schoolchildren (150 girls, 150 boys) with an age range from 12 to 15 years. An evaluation of the need for orthodontic treatment according to the AC consisted of a ten-grade scale illustrated with a sequence of ten intraoral photographs showing different degrees of acceptability of dental appearance. Results were expressed as absolute and relative frequencies. The Chi-square test (in the absence of the expected frequencies of Fisher's Exact test) was used for testing the significance of differences. Cohen's kappa statistic measure was used for measuring the agreement between the children and dentists. RESULTS There is a significant substantial agreement between children and dentists in assessing the need for orthodontic treatment. Differences in assessment of the degree of orthodontic anomalies by the doctor of dental medicine with respect to boys and girls, are negligible, and statistical analysis did not show any significant difference. Analysis of the need for orthodontic treatment with respect to the age of the children showed a significant difference. CONCLUSION The need for orthodontic treatment is more pronounced in older children, and there is no difference between boys and girl.

Abstract Background: The world tourism industry is subject to big changes. A number of tourists traveling steadily grows, resulting in turnover and income. The destinations, that tourists are attracted, to are numerous, and there are also newcomers who arrive to a certain destination for the first time. Nowadays, even some very distant places are on the travellers’ bucket lists. What is more, tourists are looking for authenticity, in terms of which the concept of ethno village proves to be such an example. Purpose: The purpose of this paper is to investigate how this kind of tourism is regulated in Slovenia and Bosnia and Herzegovina. The emphasis will be on the study of specific ethno villages. Methods: Regarding the article, desk analysis will be done. The data were gathered from the world web, from the World Tourism Organisation’s data and from the data gathered from Slovenian and Bosnian national statistical office as well. The Excel was used for the analyses. Two examples of an ethno village are also described. Results: The ethno village as a part of rural tourism offers great opportunities for new work posts but capacities should be used to a greater extent and the problem of seasonality should also be overcome. All the key aims of rural development must be defined by the following strategy: the development of sustainable and efficient agricultural sector, the living standard of the population who lives from agriculture, creation of social and economic conditions in the rural regions; all of it within the National strategy of the rural development. Conclusions: Tourism industry is being developing as a part of modern touristic migration. There are more and more visitors coming overseas or coming from more remote places. They stay for a short period of time and they have different expectations as before.

Abstract The aim of this paper is to explore the potential link between gross capital formation and CO2 emissions by using the Toda and Yamamoto approach. The annual time-series data were collected for the period 1971-2014. Due to the fact that Kuwait aims to become a major trading hub by 2035, it has made significant efforts to improve the infrastructure. Moreover, Turkey is also making strong efforts to improve the manufacturing sector as well as infrastructure, and represents an important trading hub that links Europe with the Middle East. Thus, Turkey and Kuwait are expected to strengthen their economic ties and expand trade, which was the motivation for comparing the link of interest in these two countries. The study’s findings confirm the bidirectional links between all of the variables of interest not only in the case of Turkey but also in the case of Kuwait, suggesting some important policy implications.

Abstract The Web of Things (WoT) emerges from applying Web technologies to the Internet of Things (IoT) to access information and services of physical objects. These systems are likely to characterize the future of digital environment and they put certain security issues in the story. In order to help detect potential threats to WoT-system that is being built and designed, it is advisory to implement a threat modelling process. Threat modelling is an engineering technique that can be used to identify threats, attacks, vulnerabilities and appropriate countermeasures in the context of a particular application and is a process best implemented at the system design stage. In this paper, we will analyse the threats for WoT-based door management system by using Microsoft Threat Modeling Tool (MTMT) in order to identify potential threats for this system in design phase. Obtained results justified the use of threat modelling in the design phase given that we have identified in total 89 threats, with Elevation of privilege and Denial of Service (DoS) being the most prominent ones. Those threats are characterized as high and medium risk ones.

Abstract In the process of designing and forming each system, it is necessary to identify potential vulnerabilities and threats to that system and to include appropriate countermeasures. The process that helps to find the problem in the first phase of design is called threat modeling. Threat modeling is based on the idea that every system has valuable resources that need to be protected. These resources have certain weak points that internal or external threats can use to harm them, while there are as well countermeasures used to mitigate them. Therefore, this paper analyses the security of a Web of Things (WoT)-based system for remote management of windows, which is in the design stage by using a threat modeling approach based on STRIDE and DREAD. The results obtained through Microsoft Threat Modeling Tool (MTMT) justified the use of threat modeling in the design phase given that we have identified in total 118 threats, with Elevation of privilege class of threats being the most prominent ones. The Information disclosure threats are found to be the ones characterized as medium and low risk ones, while the most represented high-risk threats again come from the Elevation of privilege class of threats.

Introduction. Art reception and experiencing is a complex process, containing creative components. The experience of a work of art involves reproduction, in the viewer's consciousness, of the experiences and excitement that the artist himself or herself have undergone in the process of creating the same works of art. When viewing visual images, our perception is directed towards the identification of objects, and when viewing visual images as works of art, we also tend to experience them - we subjectively react to elements, such as stylistic and structural characteristics. The aim of the research is to examine the effectiveness of the experimental program named the Impact of Verbal, Auditory and Visual Incentives, designed to foster students' visual perception and visual reception during art education. Methods. The experimental method with parallel groups was used. The research included the sample consisting of 98 students, out of which 45 belonged to experimental group while 53 were control students from Trebinje region. Test LV1, examining visual creativity, as well as visual perception and visual reception (art appreciation), was used. Results. The results indicated that the experimental program influenced the development of the visual perceptive (F = 3.76; p = 0.05) and visual receptive (F = 8.01; p = 0.00) abilities among students during art education because the experimental group students achieved significantly better results than the control group students. The experimental program was aligned with the curriculum and designed to influence the development of students' visual-perceptual and visual-receptive abilities. Conclusion. The obtained results indicate that it is possible to influence the development of students' visual-perceptual and visual-receptive abilities by using a specially designed program, aimed at stimulating verbal, auditory and visual aspects of visual expression.

Abstract Analysis of representative tools for SQL query processing on Hadoop (SQL-on-Hadoop systems), such as Hive, Impala, Presto, Shark, show that they are not still sufficiently efficient for complex analytical queries and interactive query processing. Existing SQL-on-Hadoop systems have many benefits from the application of modern query processing techniques that have been studied extensively for many years in the database community. It is expected that with the application of advanced techniques, the performance of SQL-on-Hadoop systems can be improved. The main idea of this paper is to give a review of big data concepts and technologies, and summarize big data optimization techniques that can be used for improving performance when processing big data.