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Publikacije (45967)

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S. Siljak-Yakovlev, F. Bogunić, S. Brown, O. Catrice, Ljiljana Jukić, E. Muratović, D. Papeš, M. Šolić

A. Taher, R. Pavlović, I. Skrypchenko

This study aimed to investigate the facilitative effect of observational practice combined with mental imagery on learning of soccer dribbling. 140 young boys with the average age of 14,52 (±2,96) and mental imagery score of 48,69 (±5,1), who were unfamiliar with the research task, voluntarily participated in this study. The participants were assigned to homogenous groups according to their pre-tests results as follow: 1- physical practice; 2- observational practice; 3-mental imagery practice; 4-physical-observational practice; 5-physical-mental imagery practice; 6- observational-mental imagery practice and 7- physical-observational-mental imagery practice. Then the participants completed three sessions including ninety trials. At the end of the final training session, an immediate retention test was conducted that followed by a delayed retention test after 48 hours. The results of One-Way ANOVA test indicated that in both immediate and delayed retention tests, the physical-observational-mental imagery group and the physical group had a better performance compared with other groups (p<.05). Furthermore, the combined physical-mental imagery group obtained higher scores in soccer dribbling task in comparison with the combined physical-observational group. The findings support the beneficial effects of cognitive interventions as well as physical practice.

Dragan Đuranović, Dražen Vrhovac, Igor Šabić

Svijet u kome postoje menadžeri ljudskih resursa i sa kojima su oni tjesnopovezani neprestano se mjenja stvarajući nove trendove i probleme koji zahtjevajurazmatranje. Pred menadžerima je najčešće veliki izbor načina na koje mogurazmatrati nove ideje i novonastale okolnosti, ali su sami ti načini čestoproblematični. Ova problematika u poštama Republike Srpske je tema ovog rada.Najznačajnija novina sa kojom se, u savremenom okruženju, susreću menadžeri zaljudske resurse, između ostalog, tiče se odgovarajućeg odnosa sa rastućomkonkurencijom na tržištu.

Mladen Milić, Dragan Đuranović

On-line marketing predstavlja veoma važan alat koji menadžment kompanijekoristi za njeno što bolje i kvalitetnije pozicioniranje na tržištu. Menadžmentkompanije primjenom on-line marketinga na efikasan, ekonomičan i efektivan načingradi odnose između kompanije sa jedne i potrošača, odnosno korisnika usluga sadruge strane. Za veoma kratko vrijeme u Republici Srpskoj i BiH, on-line marketingće postati uspješan i nezamjenljiv poslovni model koji će kompanije i njihovmenadžment obilato primjenjivati u svakodnevnom poslovanju. Menadžmentkompanija koji na vrijeme ne shvati online marketing, njegovu ulogu i značaj upozicioniranju na tržištu i uticaj na ponašanje potrošača, imaće malu iligotovonikakvu šansu u tržišnoj utakmici sa izuzetno jakom konkurencijom ijednostavno biće osuđen na poraz i gubitak tržišnog udjela.

A. Prabhakar, Erik Stolterman, S. Šabanović

Life transitions are an integral part of the human experience. However, research shows that lack of support during life transitions can result in adverse health outcomes. To better understand the support needs and structures of low-income women during transition to motherhood, we interviewed 10 women and their 14 supporters during the transition. Our findings suggest that support needs and structures of mothers evolve during transition, and that they also vary by socio-economic contexts. In this paper, we detail our study design and findings. Informed by our findings, we posit that all life-transitions are not the same, and that therefore, the optimal support intervention point varies for different life transitions. Currently there are no tools available to identify optimal support intervention points during life transitions. To this end, we also introduce a preliminary framework - the Strength-Stress-Analysis (SSA) framework - to identify optimal support intervention points during life-transitions.

Aymen Hraiba, M. Ganić, Azra Branković

The paper aims to empirically explore the impact of the Arabic Spring on the outflow of FDI in twelve selected countries in the North Africa region (Algeria, Tunisia, Morocco, Libya, Egypt and Mauritania) and the Mideast region (Bahrain, Kuwait, Oman, Lebanon, Jordan and the United Arab Emirates). The paper employs a panel data approach to exploit the time series nature of the relationship between FDI Outwards and its determinants (the market size, trade openness, government effectiveness, inflation and three dummy variables related to the Arab Spring) between 2000 and 2016. The findings revealed that the impact of the Arab Spring estimator is negatively correlated with FDI Outflows in the countries that witnessed the Arab Spring. It implies that conflicts and instability negatively affect FDI outflows. The findings of this study reveal that countries that have been affected by the Arab Spring directly (the North Africa region) experienced a greater decline of FDI outflows than countries that have been indirectly affected (the Mideast region). When the sample is restricted to North Africa it is shown that the FDI outflows may be influenced by the post Arab Spring effect, while there is no such statistically significant effect in the Mideast region. Thus, the study finds that FDI outflows in the North African countries are more determined by the effects of Arabic Spring countries than in the Mideastern countries.

Aida Čaušević, Elena Lisova, M. Ashjaei, Syed Usman Ashgar

With development of cloud computing new ways for easy, on-demand, Internet-based access to computing resources have emerged. In such context a Service Level Agreement (SLA) enables contractual agre ...

Christian Henkel, R. Zierold, A. Kommini, Stefanie Haugg, Chris Thomason, Z. Akšamija, R. Blick

The emission of electrons from the surface of a material into vacuum depends strongly on the material’s work function, temperature, and the intensity of electric field. The combined effects of these give rise to a multitude of related phenomena, including Fowler-Nordheim tunneling and Schottky emission, which, in turn, enable several families of devices, ranging from vacuum tubes, to Schottky diodes, and thermionic energy converters. More recently, nanomembrane-based detectors have found applications in high-resolution mass spectrometry measurements in proteomics. Progress in all the aforementioned applications critically depends on discovering materials with effective low surface work functions. We show that a few atomic layer deposition (ALD) cycles of zinc oxide onto suspended diamond nanomembranes, strongly reduces the threshold voltage for the onset of electron field emission which is captured by resonant tunneling from the ZnO layer. Solving the Schroedinger equation, we obtain an electrical field- and thickness-dependent population of the lowest few subbands in the thin ZnO layer, which results in a minimum in the threshold voltage at a thickness of 1.08 nm being in agreement with the experimentally determined value. We conclude that resonant tunneling enables cost-effective ALD coatings that lower the effective work function and enhance field emission from the device.

Elise Dagois, A. Khalaf, E. Sejdić, M. Akçakaya

In this paper, we introduce a transfer learning approach for our novel hybrid brain-computer interface in which electroencephalography and functional transcranial Doppler ultrasound are used simultaneously to record brain electrical activity and cerebral blood velocity respectively due to flickering mental rotation and word generation tasks. We reduced each trial into a scalar score using Regularized Discriminant Analysis (RDA). For each individual, class conditional probabilistic distribution of each mental task was estimated using RDA scores of the trials corresponding to that mental task. Similarities between class conditional distributions across individuals were measured using Kullback-Leibler divergence, Bhattacharyya, and Hellinger distances. Classification task was performed using Quadratic Discriminant Analysis (QDA), Linear Discriminant Analysis (LDA), and Support Vector Machines (SVM). We demonstrate that transfer learning can reduce calibration requirements up to %87.5. Moreover, it was found that QDA provides the most significant performance improvement compared to the case when no transfer learning is employed.

Aim of this paper is to, by means of comparative analysis, demonstrate that contemporary pension systems are limitation factors of development of the Republic of Srpska, and that they should be reformed and improved. Ultimately, pension systems should be the basis for development of the Republic of Srpska. They should significantly improve strengthening of financial markets, enhancement of capital markets, higher growth rates of the Republic of Srpska, idecrease of unemployment. Private pension funds are to change the habits and ideas of every future insurance holder, aiming to make the pension rights a matter of concern of every individual, instead being the obligation and ballast of the society. Today, stabile financing of pension systems and their funds is becoming increasingly questionable. A gap is emerging between the area of rights gained by law and financial possibilities for their implementation. Pay-as-you-go (PAYG) systems, i.e. systems of inter-generation solidarityare particularly endangered. Adequate systematization of gathered data, i.e. evidence, should provide conclusions that pension systems are a limitation todevelopment of national economy. This claim is present in underdeveloped and developing countries, with developed economies also facing grave problems.

Aydin Eresen, S. M. Birch, L. Alic, John F. Griffin IV, J. Kornegay, J. Ji

Objective: Histology is often used as a gold standard to evaluate noninvasive imaging modalities such as a magnetic resonance imaging (MRI). Spatial correspondence between histology and MRI is a critical step in quantitative evaluation of skeletal muscle in golden retriever muscular dystrophy (GRMD). Registration becomes technically challenging due to nonorthogonal histology section orientation, section distortion, and the different image contrast and resolution. Methods: This study describes a three-step procedure to register histology images with multiparametric MRI, i.e., interactive slice localization controlled by a three-dimensional mouse, followed by an affine transformation refinement, and a B-spline deformable registration using a new similarity metric. This metric combines mutual information and gradient information. Results: The methodology was verified using ex vivo high-resolution multiparametric MRI with a resolution of 117.19 μm (i.e., T1-weighted and T2-weighted MRI images) and trichrome stained histology images acquired from the pectineus muscles of ten dogs (nine GRMD and one healthy control). The proposed registration method yielded a root mean squares (RMS) error of 148.83 ± 34.96 μm averaged for ten muscle samples based on landmark points validated by five observers. The best RMS error averaged for ten muscles, was 128.48 ± 25.39 μm. Conclusion: The established correspondence between histology and in vivo MRI enables accurate extraction of MRI characteristics for histologically confirmed regions (e.g., muscle, fibrosis, and fat). Significance: The proposed methodology allows creation of a database of spatially registered multiparametric MRI and histology. This database will facilitate accurate monitoring of disease progression and assess treatment effects noninvasively.

Clemens Sauerwein, Irdin Pekaric, M. Felderer, R. Breu

Abstract In order to counteract today’s sophisticated and increasing number of cyber threats the timely acquisition of information regarding vulnerabilities, attacks, threats, countermeasures and risks is crucial. Therefore, employees tasked with information security risk management processes rely on a variety of information security data sources, ranging from inter-organizational threat intelligence sharing platforms to public information security data sources, such as mailing lists or expert blogs. However, research and practice lack a comprehensive overview about these public information security data sources, their characteristics and dependencies. Moreover, comprehensive knowledge about these sources would be beneficial to systematically use and integrate them to information security processes. In this paper, a triangulation study is conducted to identify and analyze public information security data sources. Furthermore, a taxonomy is introduced to classify and compare these data sources based on the following six dimensions: (1) Type of information, (2) Integrability, (3) Timeliness, (4) Originality, (5) Type of Source,and (6) Trustworthiness. In total, 68 public information security data sources were identified and classified. The investigations showed that research and practice rely on a large variety of heterogeneous information security data sources, which makes it more difficult to integrate and use them for information security and risk management processes.

Irfan Prazina, V. Okanović

In software engineering courses with many students, it is often impossible for a professor to give a detailed review of the software project for each student. One solution is to give students a task to make reviews for a few projects. One review consists of a comment on a project and a score. The score represents an ordinal number of the project when student sorts all projects in order by quality. The comment can be used as feedback to their colleagues and the score can be used in the final grade prediction. Double-blind peer review is used to prevent favoritism and unfairness. In the paper methods for random projects distribution, reviews gathering and analysis are presented. Methods have been used on over 100 projects and data gathered from them show moderate to high correlation with final grades. Project rank and project points have correlation factors from r=-0.6 to r=-0.66 and significance p<0.001. Projects have been independently graded with automatic tests.

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