bluuebunny/crossref_metadata_2025_split huggingface dataset:
Translocal empowerment communication: Mediated networks of civil society organizations for political empowerment
Authors: Kannengießer Sigrid 
Published: September 2017

Abstract
The theoretical concept of translocal empowerment communication is developed in this article on the basis of an empirical study: the Association for Progressive Communications Women’s Networking Support Program was analysed as a case study of a translocal network of civil society actors whose aim is to empower marginalized women politically using media and communication technologies. The network was analysed using a qualitative approach, and Manuel Castells’ network metaphor was helpful to structure the findings and to uncover power structures within the network and the network and its environment. The concept translocal empowerment communication points on the one hand to the translocally mediated connectivity of civil society organizations striving for political empowerment of marginalized people through local media projects; on the other hand, it refers to power structures and inequalities that are produced by translocally mediated networks of civil society actors.
Video activism in the Brazilian protests: Genres, narratives and political participation
Authors: de Sousa Ana Lúcia Nunes , Cervi Laura 
Published: September 2017

Abstract
This article examines communication practices, specific genres and audio-visual narratives developed by Brazilian video activists in the context of the protests against the FIFA World Cup competition in 2014. Analysing 170 videos produced between June and July 2014, using digital methods, audio-visual analysis and the Lilleker and Vedel scheme crossed with the Carpentier model to analyse political participation, we try to reveal what level of participation these videos represent and to discover their political nature, classifying them by level of participation. In addition, this article will attempt to highlight that the videos worked as a source of information, debate and deliberation, promoting participation, which could generate more empowerment and participation if the activists improved contextualization and the quality of the narrative.
Scattering from reflective diffraction gratings: the challenges of measurement and simulation
Authors: Kroneberger Monika , Fray Sebastian 
Published: September 2017

Abstract
The accurate simulation of stray light is essential for the prediction of signal detection fidelity in an optical instrument with high contrast requirements. In a spectrometer, the scattering from reflective gratings is poorly understood and difficult to characterize, but contributes significantly to the overall system stray light and reduction in contrast. This paper describes the approaches that will be taken at OHB System AG to establish a sufficiently precise fitting of bidirectional scatter distribution functions (BSDFs) to existing data obtained from measurements of scattering from gratings. The work is being undertaken in preparation for the analysis and fitting of a BSDF to the scattering from the grating for the FLEX low-resolution spectrometer that will be measured in the second half of 2017.
Effects of illumination on image reconstruction via Fourier ptychography
Authors: Cao Xinrui , Sinzinger Stefan 
Published: September 2017

Abstract
The Fourier ptychographic microscopy (FPM) technique provides high-resolution images by combining a traditional imaging system, e.g. a microscope or a 4f-imaging system, with a multiplexing illumination system, e.g. an LED array and numerical image processing for enhanced image reconstruction. In order to numerically combine images that are captured under varying illumination angles, an iterative phase-retrieval algorithm is often applied. However, in practice, the performance of the FPM algorithm degrades due to the imperfections of the optical system, the image noise caused by the camera, etc. To eliminate the influence of the aberrations of the imaging system, an embedded pupil function recovery (EPRY)-FPM algorithm has been proposed [Opt. Express 22, 4960–4972 (2014)]. In this paper, we study how the performance of FPM and EPRY-FPM algorithms are affected by imperfections of the illumination system using both numerical simulations and experiments. The investigated imperfections include varying and non-uniform intensities, and wavefront aberrations. Our study shows that the aberrations of the illumination system significantly affect the performance of both FPM and EPRY-FPM algorithms. Hence, in practice, aberrations in the illumination system gain significant influence on the resulting image quality.
Ultrasound-Based Indoor Robot Localization Using Ambient Temperature Compensation
Authors: Nagy Csaba , Biró-Ambrus Zalán , Márton Lőrinc 
Published: September 2017

Abstract
This paper focuses on the hardware development of an indoor ultrasound based robot localization system. The problems related to the ultrasound based distance measurements are presented and solutions are proposed related to Time of Flight measurements and measurement synchronization. An optimization based compensation method is introduced to attenuate the effect of the ambient temperature on the distance measurement precision. Experimental measurements were performed to analyze the applicability of the developed system and measurement methods.
Development of Motion Detection Algorithms Based on Simultaneous Execution Using Mobile Phone Sensors
Authors: Sándor Zsófia , Kis Gergely 
Published: September 2017

Abstract
The proliferation of sensor networks employing wireless data transmission technologies has paved the way for the collection of large amounts of measurement data. Several research teams have used this opportunity to develop algorithms aimed at gaining information from sensor data. Motion detection is one of the most actively researched areas. In this article, we present a system for examining motion detection in a general environment. In other words, motion forms are not identified with various wearable sensors; instead, we use the data collected by the sensors of mobile phones kept with almost all members of society now.
Evaluation of Different Thin-Client Based Virtual Classroom Architectures
Authors: Darabont Örs , Kiss Konrád József , Domokos József 
Published: September 2017

Abstract
This paper presents an evaluation of different methods used to deliver virtual machines capable of being accessed remotely by thin-clients. The objective of the research was to provide a recommendation for building a cost-effective computer infrastructure for use in two scenarios: as a programming lab, and as an office infrastructure.
We have found that different thin-client solutions based on single board computers are reliable solutions for commercially available thin client replacement, because they can run free Linux-based operating systems, can handle Remote Desktop Protocol, have lower acquisition costs, lower power consumption and offer almost the same computing performance.
For providing remote desktops, there are several methods and virtualization platforms available. We benchmarked some of these platforms in order to choose the one best-suited for implementation. Our conclusion is that Microsoft Remote Desktop Services outperforms the virtualization based solutions, but it entails high license fees. Of the virtualization solutions tested, the VMW are ESXi based one is the most reliable choice.
Macroscopic Thin Film Deposition Model for the Two-Reactive-Gas Sputtering Process
Authors: Kelemen András , Biró Domokos , Fekete Albert-Zsombor , Jakab-Farkas László , Madarász Róbert Rossi 
Published: September 2017

Abstract
The presence of a second reactive gas in the magnetron sputtering chamber makes the process much more complicated, and the process control much more difficult than in the case of a single reactive gas. Macroscopic models have been developed in order to explain the complex phenomena and to provide support for the process control. These models are able to explain the nonlinearities of the process and the strong coupling between the control channels.
This paper introduces a model created with the intention to of gaining a good grasp of the process, especially regarding the conditions necessary to obtain the required stoichiometry of the film deposited on the substrate. For this purpose, we modelled the formation of the desired ternary compound both directly from the available particle fluxes and from intermediary compounds. The surface of the substrate is divided into eight dynamically variable regions, covered by different compounds, each exposed to the streams of five types of particles.
We present the analytical model and provide simulation results in order to demonstrate its capability toof describeing the nonlinear phenomena, which that characterisze the two-gas sputtering process.
Biotechnology of siderophores in high-impact scientific fields
Authors: De Serrano Luis O. 
Published: September 2017

AbstractDifferent aspects of bacterial and fungal siderophore biotechnological applications will be discussed. Areas of application presented include, but are not limited to agriculture, medicine, pharmacology, bioremediation, biodegradation and food industry. In agriculture-related applications, siderophores could be employed to enhance plant growth due to their uptake by rhizobia. Siderophores hindered the presence of plant pathogens in biocontrol strategies. Bioremediation studies on siderophores discuss mostly the mobilization of heavy metals and radionuclides; the emulsifying effects of siderophore-producing microorganisms in oil-contaminated environments are also presented. The different applications found in literature based in medicine and pharmacological approaches range from iron overload to drug delivery systems and, more recently, vaccines. Additional research should be done in siderophore production and their metabolic relevance to have a deeper understanding for future biotechnological advances.
Parallel RANSAC for Point Cloud Registration
Authors: Koguciuk Daniel 
Published: September 2017

Abstract
In this paper, a project and implementation of the parallel RANSAC algorithm in CUDA architecture for point cloud registration are presented. At the beginning, a serial state of the art method with several heuristic improvements from the literature compared to basic RANSAC is introduced. Subsequently, its algorithmic parallelization and CUDA implementation details are discussed. The comparative test has proven a significant program execution acceleration. The result is finding of the local coordinate system of the object in the scene in the near real-time conditions. The source code is shared on the Internet as a part of the Heuros system.
3D Object Detection and Recognition for Robotic Grasping Based on RGB-D Images and Global Features
Authors: Czajewski Witold , Kołomyjec Krzysztof 
Published: September 2017

Abstract
This paper describes the results of experiments on detection and recognition of 3D objects in RGB-D images provided by the Microsoft Kinect sensor. While the studies focus on single image use, sequences of frames are also considered and evaluated. Observed objects are categorized based on both geometrical and visual cues, but the emphasis is laid on the performance of the point cloud matching method. To this end, a rarely used approach consisting of independent VFH and CRH descriptors matching, followed by ICP and HV algorithms from the Point Cloud Library is applied. Successfully recognized objects are then subjected to a classical 2D analysis based on color histogram comparison exclusively with objects in the same geometrical category. The proposed two-stage approach allows to distinguish objects of similar geometry and different visual appearance, like soda cans of various brands. By separating geometry and color identification phases, the applied system is still able to categorize objects based on their geometry, even if there is no color match. The recognized objects are then localized in the three-dimensional space and autonomously grasped by a manipulator. To evaluate this approach, a special validation set was created, and additionally a selected scene from the Washington RGB-D Object Dataset was used.
Place Classification using Dempster-Shafer Theory
Authors: Siemiątkowska Barbara , Harasymowicz-Boggio Bogdan 
Published: September 2017

Abstract
The paper presents a novel place labeling method. It is assumed that an indoor mobile robot equipped with a camera or RGB-D sensor ambulates an indoor environment. The places visited by the robot are classified based on objects which have been recognized. Each object (or set of objects) votes for a set of room classes. Data aggregation is performed using Dempster-Shafer theory (DST), which can be regarded as a generalization of the Bayesian theory. The possibility of taking into account the uncertainty of data is the main advantage of the described method. The classic Dempster’s rule of data aggregation has been criticized because it can lead to non-intuitive results. Many alternative methods have been proposed and several were tested during our experiments. Most place classification methods assume a closed world model, i.e. a test sample is assigned to the most probable class even if its corresponding probability is very small. An advantage of our system is the intrinsic capability of giving unknown class as an answer in such situations, which can be used by the robot to take appropriate actions.
Benchmark of 6D SLAM (6D Simultaneous Localisation and Mapping) Algorithms with Robotic Mobile Mapping Systems
Authors: Bedkowski Janusz , Röhling Timo , Hoeller Frank , Shulz Dirk , Schneider Frank E. 
Published: September 2017

Abstract
This work concerns the study of 6DSLAM algorithms with an application of robotic mobile mapping systems. The architecture of the 6DSLAM algorithm is designed for evaluation of different data registration strategies. The algorithm is composed of the iterative registration component, thus ICP (Iterative Closest Point), ICP (point to projection), ICP with semantic discrimination of points, LS3D (Least Square Surface Matching), NDT (Normal Distribution Transform) can be chosen. Loop closing is based on LUM and LS3D. The main research goal was to investigate the semantic discrimination of measured points that improve the accuracy of final map especially in demanding scenarios such as multi-level maps (e.g., climbing stairs). The parallel programming based nearest neighborhood search implementation such as point to point, point to projection, semantic discrimination of points is used. The 6DSLAM framework is based on modified 3DTK and PCL open source libraries and parallel programming techniques using NVIDIA CUDA. The paper shows experiments that are demonstrating advantages of proposed approach in relation to practical applications. The major added value of presented research is the qualitative and quantitative evaluation based on realistic scenarios including ground truth data obtained by geodetic survey. The research novelty looking from mobile robotics is the evaluation of LS3D algorithm well known in geodesy.
Green bio-inspired synthesis, characterization and activity of silver nanoparticle forms of Centaurea virgata Lam. and the isolated flavonoid eupatorin
Authors: Tüzün Burcu Sümer , Hohmann Judit , Kivcak Bijen 
Published: September 2017

AbstractA green synthesis method of silver nanoparticles (AgNPs) usingCentaurea virgataLam. extract and the isolated compound eupatorin was investigated in this study. Ultraviolet-visible (UV-Vis) spectroscopy, Fourier transform infrared (FTIR) spectroscopy, transmission electron microscopy (TEM), scanning electron microscopy (SEM)/energy-dispersive X-ray (EDX) spectroscopy, thermal gravimetric analysis, X-ray diffraction analysis and zeta potential were used for characterization of AgNPs. The UV-Vis spectrum exhibited a characteristic absorption band at 420 nm for monodisperse nanoparticles. FTIR measurements also proved the formation. X-ray diffraction patterns showed peaks at (110) and (112), which are characteristic for hexagonal crystals and also showed peaks at (111), (200) and (240), which are characteristic for orthorhombic crystals. The TEM images of AgNPs show that the morphology of AgNPs was predominantly spherical. Obtained AgNPs were highly stable according to the zeta potential values. The nitric oxide scavenging activity, which is also related to anticancer activity, of AgNPs was evaluated. It can be concluded thatC. virgataLam. extract and eupatorin can be used as a reducing agent for potential antioxidant AgNP formation.
A new method for the synthesis of 4H-1,3,5-oxadiazine derivatives
Authors: Zadorozhnii Pavlo V. , Kiselev Vadym V. , Pokotylo Ihor O. , Kharchenko Aleksandr V. 
Published: September 2017

Abstract
A new, simple method for the synthesis of 4H-1,3,5-oxadiazine derivatives was developed based on the dehydrogenation reaction of N-amidoalkylated thioureas with dicyclohexylcarbodiimide. The reaction was carried out in acetonitrile under reflux for 50–60 min. The precipitated products were easily purified by crystallization from acetonitrile or ethanol. The yields were 30–70%. The structure of the synthesized compounds was determined by IR, 1H NMR, 13C NMR, MS and X-ray crystallography.
Curriculation and Competence Based Education Training (CBET) in Tanzania: A Critical Assessment of Public Administration and Management (PAM) Curricula at Tanzania Public Service College (TPSC)
Authors: Ramadhani Marijani 
Published: September 2017

Abstract
The article directs the discourse in Public Administration and Management (PAM) curricula at Tanzania Public Service College. The motive for this attempt is based on the fact that Public Administration (PA) is itself recognized as a profession whose teaching aims at producing competent professionals and therefore needs constant review to conform to the current work complexities. Five big questions and content analysis are used as the basis for directing the discourse. The findings indicate that curriculation for PAM is complex and dynamic. Moreover, the findings indicate that the two curricula are more vocational than educational as there is little weight allocated for occupational course modules (36 out of 360 in PA) and (126 out of 360 in HRM). This may pose the danger of “pourtpouri” problem in curriculum design. The article proposes rethinking interventions on curriculation for PAM at TPSC to benefit from Public Administration discipline.
Human Resource Reforms in Public Administration: The Importance of the Reward System
Authors: De Freitas Bradley Christopher 
Published: September 2017

Abstract
Human resource management encompasses administrating and managing human resources or otherwise known as employees. The HR or Human Resources department of any company, whether it be public or private, deals with the day to aspects pertaining to employees, from the recruitment process to probably the most important aspect for any employee; remuneration and benefits. The importance of finding a perfect equilibrium between monetary and non-monetary incentives is crucial in obtaining an efficient work environment, as well as increasing productivity and employee motivation. Having an administrative background or knowledge is essential for any HR manager, in order to detect and implement the most beneficial reward system for both implicated parties.
This paper aims to examine human resource reforms in public administration, primarily in reference to the remunerations of civil servants and employees by giving examples of the importance of salary within the structure of human resource management, looking at new laws involving the increase of salaries within the near future, concluding with suggestions on improving the reward system implemented by human resource managers in Romania’s system of public administration.
How to stop the snowball growth? A way for sustaining public debt over generations
Authors: Catrina Ion-Lucian 
Published: September 2017

Abstract
Why public debts are growing so fast in most developing countries, like a dangerous snowball which is growing and growing and no one can stop it? It is only a negative relation between high debt and real growth of economy? How can we definitively remove the Ricardian anxiety which called debt a “terrible scourge”? These are only few questions asked in the last century in relation with debt “overhang” not only by scholars, but by governments as well. This paper aims to answer to other questions like: Why debt’s rate grows faster than GDP? Why governments borrow? For current spending or for public investments? Who should benefits current loans? Who should pay for them and when? How should be the taxation along the economic cycle: neutral or countercyclical? Need we a model to sustain the public debt over generations, or it is good enough to maintain a good ration between real GDP growth and debt and that’s it?
Drivers of going concern audit opinions: empirical evidence from Indonesia
Authors: Suroto Lina Rahmawati , Kusuma Hadri 
Published: September 2017

Abstract
The study of the going concern audit opinions is an important component within the enhancement of firms’ responsibility and stewardship. A going concern audit opinions implies that the independent auditor doubt the future of the firm. This study aimed to examine the drivers of the likelihood of the going-concern audit opinions. Previous studies revealed that there were inconsistent drivers influencing the going-concern audit opinion. This study shows similar results to prior works. The result indicates that firms’ financial condition and profitability significantly affect the likelihood of the going-concern audit opinion, while firms’ size and leverage are not the determinants of the intensity of the going concern audit opinion.
A research on EU trade policy system
Authors: Qi Sitong 
Published: September 2017

Abstract
The EU is the world’s largest trade group, occupying an important position in the world trade in goods and services, especially in the field of service trade. The EU trade in services exports and imports are higher than the United States and Japan, and the EU is the world’s largest capital output and input group, and the world’s largest foreign aid providers. With the deepening of the European integration process, Europe’s position in the world economy and trade is on the rise. Therefore, the EU’s trade policy has increasingly become the focus of attention. From the vertical point of view, research directions can be divided into trade in goods policy, trade in services policy, international direct investment policy, trade-related intellectual property policy four field. In this paper, the four vertical areas are illustrated as the focus of the study.
Stop or Continue Data Collection: A Nonignorable Missing Data Approach for Continuous Variables
Authors: Paiva Thais , Reiter Jerome P. 
Published: September 2017

Abstract
We present an approach to inform decisions about nonresponse follow-up sampling. The basic idea is (i) to create completed samples by imputing nonrespondents’ data under various assumptions about the nonresponse mechanisms, (ii) take hypothetical samples of varying sizes from the completed samples, and (iii) compute and compare measures of accuracy and cost for different proposed sample sizes. As part of the methodology, we present a new approach for generating imputations for multivariate continuous data with nonignorable unit nonresponse. We fit mixtures of multivariate normal distributions to the respondents’ data, and adjust the probabilities of the mixture components to generate nonrespondents’ distributions with desired features. We illustrate the approaches using data from the 2007 U.S. Census of Manufactures.