Concurrent software based on a shared-memory model is predominant in industrial applications that cannot afford to execute complex message-passing libraries. However, direct access to shared memory creates implicit dependencies between concurrently executing components. Therefore, the development and maintenance of such software is hard. In this paper, we argue the need to manage, at the architectural level, the implicitly high coupling between concurrent components that share memory. We suggest an approach that verifies architectural specifications against the implementation and finds potential mismatches. While static analysis approaches can be complete and verify all possible mismatches, they are often imprecise, leading to a large number of false warnings, especially in concurrent software. Instead, we built our approach, using dynamic analysis, on top of one of the most well-known algorithms for detecting data races, Eraser Lockset, and extended its model to support features required for the verification process. Since Lockset operates on the execution traces, test cases that produce these traces must ensure proper coverage. Therefore, we argue the need to use test cases conforming to the strict modified condi-tion/decision coverage criteria (MC/DC). Our version of Lockset takes advantage of the fact that possible shared memory locations are known in advance. We further improved its precision by considering atomic operations as a synchronization mechanism. The approach was evaluated on industrial AUTOSAR drivers that execute concurrently.

Introduction: Golden retriever muscular dystrophy (GRMD), an X‐linked recessive disorder, causes similar phenotypic features to Duchenne muscular dystrophy (DMD). There is currently a need for a quantitative and reproducible monitoring of disease progression for GRMD and DMD. Methods: To assess severity in the GRMD, we analyzed texture features extracted from multi‐parametric MRI (T1w, T2w, T1m, T2m, and Dixon images) using 5 feature extraction methods and classified using support vector machines. Results: A single feature from qualitative images can provide 89% maximal accuracy. Furthermore, 2 features from T1w, T2m, or Dixon images provided highest accuracy. When considering a tradeoff between scan‐time and computational complexity, T2m images provided good accuracy at a lower acquisition and processing time and effort. Conclusions: The combination of MRI texture features improved the classification accuracy for assessment of disease progression in GRMD with evaluation of the heterogenous nature of skeletal muscles as reflection of the histopathological changes. Muscle Nerve 59:380–386, 2019

U ovom radu analizirano je 15 europskih provenijencija običnog bora u međunarodnom pokusu kod Kupresa. Pokus je osnovan tijekom proljeća 2012. godine sa biljkama starosti dvije godine (2+0). Ukupno je posađeno 2700 sadnica običnog bora u pokusnom dizajnu slučajnog blok sustava koji je prilagođen terenu, 15 provenijencija u pet ponavljanja (5 x 36 sadnica). Pokus čine provenijencije iz deset europskih zemalja: Austrija (Traisen, Rein, Sistrans), Bosna i Heregovina (Bugojno), Ukrajina (Ivano Frankivsk), Slovačka (Hanusovce), Rumunjska (Sacueini), Norveška (Narvik, Arnes), Njemačka (Teisendorf, Trippstadt), Poljska (Raciane – Nida) i Italija (Ca del Lupo, Fenestrelle, Piani – Valda). Rezultati morfoloških i fizioloških istraživanja odnose se na razlike preživljivanja, visinama, promjer na vratu korijena i proljetnoj fenologiji otvaranja pupova.

The explanatory power of size, value, profitability, and investment has been extensively studied for equity markets. Yet, the relevance of these factors in global credit markets is less explored, although equities and bonds should be related according to structural credit risk models. In this article, the authors investigate the impact of the four Fama–French factors in the US and European credit space. Although all factors exhibit economically and statistically significant excess returns in the US high-yield market, the authors find mixed evidence for US and European investment-grade markets. Nevertheless, they show that investable multifactor portfolios outperform the corresponding corporate bond benchmarks on a risk-adjusted basis. Finally, their results highlight the impact of company-level characteristics on the joint return dynamics of equities and corporate bonds.

Big data technologies have a strong impact on different industries, starting from the last decade, which continues nowadays, with the tendency to become omnipresent. The financial sector, as most of the other sectors, concentrated their operating activities mostly on structured data investigation. However, with the support of big data technologies, information stored in diverse sources of semi-structured and unstructured data could be harvested. Recent research and practice indicate that such information can be interesting for the decision-making process. Questions about how and to what extent research on data mining in the financial sector has developed and which tools are used for these purposes remains largely unexplored. This study aims to answer three research questions: (i) What is the intellectual core of the field? (ii) Which techniques are used in the financial sector for textual mining, especially in the era of the Internet, big data, and social media? (iii) Which data sources are the most often used for text mining in the financial sector, and for which purposes? In order to answer these questions, a qualitative analysis of literature is carried out using a systematic literature review, citation and co-citation analysis.

Vitamin D is one of the keys to bone health, and the serum levels of this vitamin are a major concern for postmenopausal women. The aims of this study were to develop a population pharmacokinetic (PPK) model for the clearance of 25-hydroxy vitamin D in non-elderly postmenopausal women and to identify the factors which have a significant influence on its clearance. The study population consisted of postmenopausal women who had been referred for evaluation of bone mineral density (BMD) by DEXA (dual-energy x-ray absorptiometry) scanner. The population pharmacokinetics modeling was conducted using the ADVAN 1 subroutine from a non-linear mixed effects (NONMEM) program, and thirty-two covariates were assessed. A total of 75 serum concentrations were obtained from the same number of postmenopausal women and used for PPK analysis. The mean value of the participantsí age was 57.92 ± 3.93 years and their body weight was 69.76 ± 11.49 kg. A wide range of 25-hydroxy vitamin D concentrations was observed (from 3.41 to 61.92 ng/mL) with a mean value of 26.19 ± 10.95 ng/mL. A total of 32 covariates were examined and preliminary results suggested the influence of six covariates on 25-hydroxy vitamin D clearance. In the final PPK model, however, only one covariate was shown to have a significant impact on the clearance value ñ the mean daily dietary intake dose of vitamin D (DD). These findings offer a preliminary basis on which to determine the level of vitamin D supplementation required by individual postmenopausal women. It could prove particularly important in achieving optimal serum levels of vitamin D in this vulnerable population.

The main objective of this paper is to define the repositioning strategy of the Port of Adria, which is the leading container maritime port of Montenegro. The strategy is an integral reflection of the analysis of internal (competitive advantage and financial strength) and external (the potential of container maritime port industry and environmental stability) repositioning criteria. The case study in this paper is mainly accomplished through the definition of specific propositions that clarify the connections between these criteria and the repositioning strategy. Knowledge and attitudes of stakeholders are used with the purpose of modeling a marketing strategy, which is based on an inductive study. The paper proposes a model based on a specific maritime port case which can be applied to any other case of maritime port repositioning as well.

Objective. We aim at developing a hybrid brain–computer interface that utilizes electroencephalography (EEG) and functional transcranial Doppler (fTCD). In this hybrid BCI, EEG and fTCD are used simultaneously to measure electrical brain activity and cerebral blood velocity respectively in response to flickering mental rotation (MR) and word generation (WG) tasks. In this paper, we improve both the accuracy and information transfer rate (ITR) of this novel hybrid brain computer interface (BCI) we designed in our previous work. Approach. To achieve such aim, we extended our feature extraction approach through using template matching and multi-scale analysis to extract EEG and fTCD features, respectively. In particular, template matching was used to analyze EEG data whereas 5-level wavelet decomposition was applied to fTCD data. Significant EEG and fTCD features were selected using Wilcoxon signed rank test. Support vector machines classifier (SVM) was used to project EEG and fTCD selected features of each trial into scalar SVM scores. Moreover, instead of concatenating EEG and fTCD feature vectors corresponding to each trial, we proposed a Bayesian fusion approach of EEG and fTCD evidences. Main results. Average accuracy and average ITR of 98.11% and 21.29 bits min−1 were achieved for WG versus MR classification while MR versus baseline yielded 86.27% average accuracy and 8.95 bit min−1 average ITR. In addition, average accuracy of 85.29% and average ITR of 8.34 bits min−1 were obtained for WG versus baseline. Significance. The proposed analysis techniques significantly improved the hybrid BCI performance. Specifically, for MR/WG versus baseline problems, we achieved twice of the ITRs obtained in our previous study. Moreover, the ITR of WG versus MR problem is 4-times the ITR we obtained before for the same problem. The current analysis methods boosted the performance of our EEG-fTCD BCI such that it outperformed the existing EEG-fNIRS BCIs in comparison.

Introduction: Dietary supplements are an important source of vitamins and minerals that may help prevent several disease-causing biological pathways involved in one-carbon metabolism, including the suppression of cell proliferation, oxidative stress, nitric oxide synthesis, and angiogenesis. The present study aimed to assess the association between the intake of folate, Vitamin B6, Vitamin B12, and minerals and the consumption of alcohol among university students. Methods: This study was participated by students aged 19-22 years from the University of Sarajevo between 2017 and 2018. Using a questionnaire, we interviewed in a week them to collect information regarding age, socio-economic status, alcohol consumption, and dietary supplement intake. Then, we investigated the association between the baseline intake of folate, B vitamins, and minerals and that of alcohol consumption. Results: Most students consumed Vitamin B supplements (32%) and folic acid (10%). Dietary multivitamins and minerals were less prevalent in more than a year, accounting for 186 (23.9%) and 174 (24.3%) students, respectively, than those in less than a year. In a year, <20% of students consumed multivitamins 129 (16.6%) and minerals 116 (15.3%). Meanwhile, 256 (27.1%) students consumed alcohol. The Chi-square test of independence showed that drinking habits and the intake of such dietary supplements had no association (p > 0.05). Conclusion: An extremely low percentage of the participating students in Canton Sarajevo used dietary supplements of Vitamin B, folate, multivitamins, and minerals. Moreover, alcohol consumption and dietary supplement intake were not associated. Further research is needed to establish the best cost-effective public health system to achieve a sufficient intake of dietary supplements.

Dominant group of factors that influence the brand market value, according to Aaker are: customer loyalty to the brand, perceived brand quality, brand familiarity and brand associations in comparison to competitors. Functional dependence between these factors and market brand value is not expressed in exact way, although these factors are quantitatively expressed with suitable index [17]. Modern technique of fuzzy logic and fuzzy sets implementation for problem solving in areas of finance and management is based on FLC (fuzzy logic control) process. Implementation of FLC process In this paper is represented in order to determine brand market value that is mathematical model is constructed using fuzzy numbers and fuzzy logic, which is used to quantitatively determine brand market value. Brand market value TV=f (L, P, K, A) is expressed depending on customer loyalty (L) towards the brand, perceived brand quality (K), brand familiarity (P) and brand association (A) received from the customers, where the measurement rates are evaluated using by fuzzy numbers.

Abstract Background/purpose: To determine the efficacy and toxicity profile of a stereotactic body radiotherapy (SBRT) boost as a first line treatment in patients with oropharyngeal squamous cell carcinoma (OPSCC). Materials and methods: We performed a retrospective cohort study in 195 consecutive OPSCC patients with T1-small T3 disease, treated at Erasmus MC between 2009 and 2016 with a SBRT (3 × 5.5 Gy) boost after 46 Gy IMRT. Primary endpoints were disease-specific survival (DSS) and Grade ≥3 toxicity (Common Terminology Criteria). The Kaplan-Meier method and Cox regression model were applied to determine rates and risk factors. Results: The median follow-up was 4.3 years. Treatment compliance was high (100%). Rates of 5-year DSS and late grade ≥3 toxicity were 85% and 28%, respectively. Five-year overall survival was 67%. The most frequently observed toxicities were mucosal ulceration or soft tissue necrosis (n = 30, 5 year 18%), dysphagia or weight loss (n = 18, 5 year 12%) and osteoradionecrosis (n = 11, 5 year 9%). Current smoker status (hazard ratio [HR] = 2.9, p = .001) and Charlson Comorbidity Index ≥2 (HR = 1.9, p = .03) were was associated with increased toxicity risk. Tooth extraction prior to RT was associated with increased osteoradionecrosis risk (HR = 6.4, p = .006). Conclusion: We reported on outcomes in the largest patient series to date treated with a hypofractionated boost for OPSCC. Efficacy was good with survival rates comparable to conventionally fractionated (chemo)radiotherapy. Grade ≥3 toxicity profiles showed high rates of soft tissue necrosis and osteoradionecrosis. Strategies to mitigate severe toxicity risks are under investigation to improve the tolerability of the SBRT boost.