bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Low-Flying Communicator: Understanding public relations in a regional context
Authors: Hoffmann Jochen , Lingwall James A. 
Published: May 2020

Abstract
Most research on public relations (PR) roles takes the starting point of PR as an indispensable boundary-spanning function. Context may explain how PR is performed and which skills are important, but not the degree to which PR is necessary. In this article, we tackle the latter question by identifying and discussing the role of the low-flying communicator in the Danish region of North Jutland. The study is based on individual and focus group interviews with communication practitioners and students. The results show that many regional companies have established a communicative comfort zone “under the radar” of public attention. This leads to recruitment problems. Companies are less visible in the labour market and depend on graduates who stay in the region for personal reasons. A certain unwillingness to cross boundaries of social and public spaces feeds into sense-making but also contestable role understandings of PR practice and education in regional contexts.
Crystalline structures of Rb2UBr6 ionic conductor determined by neutron diffraction
Authors: Małetka Krzysztof , Ressouche Eric , Rundlof Hakan , Tellgren Rolland , Szczepaniak Włodzimierz , Zabłocka-Malicka Monika 
Published: May 2020

Abstract
The neutron powder diffraction technique has been used for structural studies of Rb2UBr6 solid electrolyte as a function of temperature. The low-, room-, and high-temperature structures have been determined. At the temperature range of 4.2–80 K, the compound crystallizes in a monoclinic unit cell in the P21/c space group. At 80 K and 853 K, the compound crystallizes in a tetragonal unit cell in the P4/mnc space group. At 300 K, the lattice constants are a = b = 7.745(1) and c = 11.064(1) Å. At the temperature range of 853–960 K, a trigonal phase is observed in the Pʒ̄ml space group.
Evolution of treatment planning and dose delivery methods during radiotherapy for patients undergoing bone marrow transplantation: a review
Authors: Litoborska Joanna , Piotrowski Tomasz , Jodda Agata , Malicki Julian 
Published: May 2020

Abstract

Background and objectives: This study describes the treatment planning and dose delivery methods of radiotherapy for patients undergoing bone marrow transplantation. The analysis was carried out in the context of the evolution of these methods over the last 60 years.

Materials and methods: A systematic literature search was carried out using the PubMed search engine. Overall, 90 relevant studies were included: 24 general studies, 10 describing isotopes usage, 24 related to conventional and 32 to advanced methods.

Results: The analysis of the evolution of radiotherapy methods shows how significantly the precision of dose planning methods and its delivery have changed. The atypical positioning caused by geometrical requirements for applications of isotopes or conventional techniques has been replaced by positioning on a therapeutic couch, which allows a more precise setup of the patient that is necessary for an exact delivery of the planned dose. The dose can be fully optimized and calculated on tomographic images by algorithms implemented in planning systems. Optimization process allows to reduce doses in organs at risk. The accuracy between planned and delivered doses can be checked by pretreatment verification methods, and the patient positioning can be checked by image guidance procedures.

Interpretation and conclusions: Current radiotherapy solutions allow a precise delivery of doses to the planning target volume while reducing doses to organs at risk. Nevertheless, it should be kept in mind that establishing radiotherapy as an important element of the whole therapeutic regimen resulted from the follow-up of patients treated by conventional techniques. To confirm the clinical value of new advanced techniques, clinical trials are required.
Cleavages in the Post-Communist Countries of Europe: A Review
Authors: Redžić Ena , Everett Judas 
Published: May 2020

Abstract
This review of the historical studies of cleavages and seeks to bridge the gap between the historical study of cleavages and frozen cleavage theory and the post-communist states of Europe which have transitioned to democracy. The study identifies the literature on frozen cleavages and new divides which have arisen transition, as well as the primary actors in their political representation and issue positioning. The key literature in the development of studies on cleavages was provided by Lipset and Rok-kan, but their work focused mostly on Western democracies and did not include any of the countries which were behind the iron curtain at the time. However, the transition of the post-communist nations of Europe are now several decades old. Since the demise of communist regimes in Europe, much literature has been produced on the newly democratic regimes developing there. This article provides a broad overview of general trends in cleavage literature and more specific developments for Bulgaria, Croatia, Czech Republic, Hungary, Poland, Romania and Slovakia. The main findings were that there are frozen cleavages present in the post-communist countries of Europe, but that much of the developments since the fall of communism seem to be unpredictable and change-able — a fact reflected by the instability and constant change in the party systems.
Application of natural language processing to the electoral manifestos of social democratic parties in Central Eastern European countries
Authors: Bielik Ivan 
Published: May 2020

Abstract
The paper examines electoral manifestos of social democratic parties in Visegrad countries through a computer-driven method of content analysis. The analysis focuses on a sentence sentiment (how parties talk about their priorities) and a keyword examination (what parties mostly talk about). Such analysis is not widespread in the academic literature related to Visegrad countries, where a human-based approach to content analysis of electoral manifestos prevails. The paper, however, does not aim to nullify the findings of the previous research, but aims to improve the understanding of the content of manifestos through a different research method. The paper’s findings have confirmed the pro-European support of social democratic parties as well as the focus on predominantly socio-economic issues in manifestos. Additionally, the paper explores the effect of incumbency on the manifesto’s content. The incumbency seems to have an impact on the manifesto sentiment, but not on keywords.
Deliberation level of constitutional debates in Georgian Parliament
Authors: Napetvaridze Vladimeri , Tskhovrebadze Tina , Niparishvili Tamila , Niparishvili Kristina 
Published: May 2020

Abstract
In the given paper a discourse quality index (DQI) tool, rooted to criteria elaborated by Jurgen Habermas’s in his discourse ethics, will be modified and used to assess the deliberation level of the 1995 Georgian Parliament. The methodology will accurately represent important principles of deliberation. Due to its focus on observable behavior and its detailed coding instructions, a discourse quality index can be a reliable measurement of the quality of political debates. The DQI for a parliamentary debate in the example of the 1995 parliament of Georgia will be illustrated in the given article. The parliamentarian debates concerning the adoption of the 1995 constitution of Georgia, according to its importance, will be taken as the specific case to be analysed. In the framework of the research, scholars will study and analyse over 200 pages of stenographic recordings of the parliamentary debates connected to the mentioned topic. The DQI score will be evaluated based on the analyses of the stenographic records.
Selected magnesium compounds as possible inhibitors of ammonium nitrate decomposition
Authors: Hoffmann Józef , Kaniewski Maciej , Nieweś Dominik , Hoffmann Krystyna 
Published: May 2020

Abstract
Ammonium nitrate (AN) is considered to be a very hazardous and difficult to handle component of mineral fertilizers. Differential thermal analysis coupled with thermogravimetry and mass spectrometry was used to determine the possible inhibiting effect of selected magnesium compounds on thermal decomposition of AN. Each additive was mixed with AN to create samples with AN:magnesium compound mass ratios of 4:1, 9:1 and 49:1. Most of analyzed compounds enhanced thermal stability of ammonium nitrate, increasing the temperature of the beginning of exothermic decomposition and decreasing the amount of generated heat. Magnesium chloride hexahydrate was determined to accelerate the decomposition of AN while magnesium sulphate, sulphate heptahydrate, nitrate hexahydrate together with magnesite and dolomite minerals were defined as inhibiting agents.
Thermodynamics and kinetics of thermal deactivation of catalase Aspergillus niger
Authors: Miłek Justyna 
Published: May 2020

Abstract
The thermal stability of enzyme-based biosensors is crucial in economic feasibility. In this study, thermal deactivation profiles of catalase Aspergillus niger were obtained at different temperatures in the range of 35°C to 70°C. It has been shown that the thermal deactivation of catalase Aspergillus niger follows the first-order model. The half-life time t
1/2 of catalase Aspergillus niger at pH 7.0 and the temperature of 35°C and 70°C were 197 h and 1.3 h respectively. Additionally, t
1/2 of catalase Aspergillus niger at the temperature of 5°C was calculated 58 months. Thermodynamic parameters the change in enthalpy ΔH*, the change in entropy ΔS* and the change Gibbs free energy ΔG* for the deactivation of catalase at different temperatures in the range of 35°C to 70°C were estimated. Catalase Aspergillus niger is predisposed to be used in biosensors by thermodynamics parameters obtained.
Investigation of imaging properties of novel contrast agents based on gold, silver and bismuth nanoparticles in spectral computed tomography using Monte Carlo simulation
Authors: Sadeghian Maryam , Akhlaghi Parisa , Mesbahi Asghar 
Published: May 2020

Abstract
In the present paper, some imaging properties of nanoparticles-based contrast agents including gold, bismuth, and silver were assessed and compared with conventional (iodinated) contrast agent in spectral computed tomography (CT). A spectral CT scanner with photon-counting detectors (PCD) and 6 energy bins was simulated using the Monte Carlo (MC) simulation method. The nanoparticles were designed with a diameter of 50 nm at concentrations of 2, 4, and 8 mg/ml. Water-filled cylindrical phantom was modeled with a diameter of 10 cm containing a hole with a diameter of 5 cm in its center, where was filled with contrast agents. The MC results were used to reconstruct images. Image reconstruction was accomplished with the filtered back-projection (FBP) method with hamming filter and linear interpolation method. CT number and contrast-to-noise ratio (CNR) of all studied contrast materials were calculated in spectral images. The simulations indicated that nanoparticle-based contrast agents have a higher CT number and CNR than the iodinated contrast agent at the same concentration and for all energy bins. In general, gold nanoparticles produced the highest CT number and CNR compared to silver and bismuth nanoparticles at the same concentration. However, at low energies (below 80 keV), silver nanoparticles performed similarly to gold nanoparticles and at high energies (120 keV), bismuth nanoparticles can be a good substitute for gold nanoparticles.
Prediction of Ship Motions Via a Three-Dimensional Time-Domain Method Following a Quad-Tree Adaptive Mesh Technique
Authors: Zhang Teng , Ren Junsheng , Liu Lu 
Published: May 2020

Abstract
A three-dimensional (3D) time-domain method is developed to predict ship motions in waves. To evaluate the Froude-Krylov (F-K) forces and hydrostatic forces under the instantaneous incident wave profile, an adaptive mesh technique based on a quad-tree subdivision is adopted to generate instantaneous wet meshes for ship. For quadrilateral panels under both mean free surface and instantaneous incident wave profiles, Froude-Krylov forces and hydrostatic forces are computed by analytical exact pressure integration expressions, allowing for considerably coarse meshes without loss of accuracy. And for quadrilateral panels interacting with the wave profile, F-K and hydrostatic forces are evaluated following a quad-tree subdivision. The transient free surface Green function (TFSGF) is essential to evaluate radiation and diffraction forces based on linear theory. To reduce the numerical error due to unclear partition, a precise integration method is applied to solve the TFSGF in the partition computation time domain. Computations are carried out for a Wigley hull form and S175 container ship, and the results show good agreement with both experimental results and published results.
Neural Network Ensemble Approach to Pushed Convoys Dispatching Problems
Authors: Radonjić Aleksandar , Pjevčević Danijela , Maraš Vladislav 
Published: May 2020

Abstract
This paper investigates the use of neural networks (NNs) for the problem of assigning push boats to barge convoys in inland waterway transportation (IWT). Push boat–barge convoy assignmentsare part of the daily decision-making process done by dispatchers in IWT companiesforwhich a decision support tool does not exist. The aim of this paper is to develop a Neural Network Ensemble (NNE) model that will be able to assist in push boat–barge convoy assignments based on the push boat power.The primary objective of this paper is to derive an NNE model for calculation of push boat Shaft Powers (SHPs) by using less than 100% of the experimental data available. The NNE model is applied to a real-world case of more than one shipping company from the Republic of Serbia, which is encountered on the Danube River. The solution obtained from the NNE model is compared toreal-world full-scale speed/power measurements carried out on Serbian push boats, as well as with the results obtained from the previous NNE model. It is found that the model is highly accurate, with scope for further improvements.
Application of Stirling Engine Type Alpha Powered by the Recovery Energy on Vessels
Authors: Kropiwnicki Jacek 
Published: May 2020

Abstract
The Stirling engine is a device in which thermal energy is transformed into mechanical energy without any contact between the heat carrier and the working gas enclosed in the engine. The mentioned feature makes this type of engine very attractive for the use of the recovery energy taken from other heat devices. One of the potential applications of Stirling engines is the use of thermal energy generated in the ship’s engine room for producing electricity. The work presents the concept of the Stirling engine type alpha powered by the recovery energy. The model of Stirling engine developed in this work allows a quantitative assessment of the impact of the design features of the engine, primarily the heat exchange surfaces and the volume of control spaces, on the achieved efficiency and power of the engine. Using an iterative procedure, Stirling engine simulation tests were carried out taking into account the variable structural features of the system. The influence of the size of the heater and the cooler, as well as the effectiveness of the regenerator and the temperature of the heat source on the efficiency and power produced by the Stirling engine have been presented.
Cabin Placement Layout Optimisation Based on Systematic Layout Planning and Genetic Algorithm
Authors: Su Shaojuan , Zheng Yasai , Xu Jinan , Wang Tianlin 
Published: May 2020

Abstract
Cabin placement layout is an important part of ship cabin layout design. A good cabin placement layout can improve the efficiency of the ship’s cabin arrangement. However, optimisation of the layout of cabin placement is not widely studied and more often relies on the experience of the staff. Thus, a novel methodology combining systematic layout planning and a genetic algorithm to optimise the cabin placement is presented in this paper. First key elements are converted by a systematic planning method that is often applied in factory layout, and a preliminary cabin placement layout model is established according to these key elements. Then the circulation strength and adjacency strength are taken as sub-objectives to establish a mathematical model, and an improved genetic algorithm is used to optimise the model. The result of the optimisation is compared with the initial schemes to verify the validity of the algorithm. Finally, the human factors are introduced according to the actual situation. The AHP method is used to select the layout scheme of the cabin that is most likely to be applied in the actual cabin layout.
SPy: Car Steering Reveals Your Trip Route!
Authors: Pesé Mert D. , Pu Xiaoying , Shin Kang G. 
Published: May 2020

Abstract
Vehicular data-collection platforms as part of Original Equipment Manufacturers’ (OEMs’) connected telematics services are on the rise in order to provide diverse connected services to the users. They also allow the collected data to be shared with third-parties upon users’ permission. Under the current suggested permission model, we find these platforms leaking users’ location information without explicitly obtaining users’ permission. We analyze the accuracy of inferring a vehicle’s location from seemingly benign steering wheel angle (SWA) traces, and show its impact on the driver’s location privacy. By collecting and processing real-life SWA traces, we can infer the users’ exact traveled routes with up to 71% accuracy, which is much higher than the state-of-the-art.
Impact of Frequency of Location Reports on the Privacy Level of Geo-indistinguishability
Authors: Mendes Ricardo , Cunha Mariana , Vilela João P. 
Published: May 2020

Abstract
Location privacy has became an emerging topic due to the pervasiveness of Location-Based Services (LBSs). When sharing location, a certain degree of privacy can be achieved through the use of Location Privacy-Preserving Mechanisms (LPPMs), in where an obfuscated version of the exact user location is reported instead. However, even obfuscated location reports disclose information which poses a risk to privacy. Based on the formal notion of differential privacy, Geo-indistinguishability has been proposed to design LPPMs that limit the amount of information that is disclosed to a potential adversary observing the reports. While promising, this notion considers reports to be independent from each other, thus discarding the potential threat that arises from exploring the correlation between reports. This assumption might hold for the sporadic release of data, however, there is still no formal nor quantitative boundary between sporadic and continuous reports and thus we argue that the consideration of independence is valid depending on the frequency of reports made by the user. This work intends to fill this research gap through a quantitative evaluation of the impact on the privacy level of Geo-indistinguishability under different frequency of reports. Towards this end, state-of-the-art localization attacks and a tracking attack are implemented against a Geo-indistinguishable LPPM under several values of privacy budget and the privacy level is measured along different frequencies of updates using real mobility data.
Smart Devices in Airbnbs: Considering Privacy and Security for both Guests and Hosts
Authors: Mare Shrirang , Roesner Franziska , Kohno Tadayoshi 
Published: May 2020

Abstract
Consumer smart home devices are becoming increasingly pervasive. As Airbnb hosts deploy smart devices in spaces shared with guests, we seek to understand the security and privacy implications of these devices for both hosts and guests. We conducted a large-scale survey of 82 hosts and 554 guests to explore their current technology practices, their preferences for smart devices and data collection/sharing, and their privacy and security concerns in the context of Airbnbs. We found that guests preferred smart devices, even viewed them as a luxury, but some guests were concerned that smart devices enable excessive monitoring and control, which could lead to repercussions from hosts (e.g., locked thermostat). On average, the views of guests and hosts on data collection in Airbnb were aligned, but for the data types where differences occur, serious privacy violations might happen. For example, 90% of our guest participants did not want to share their Internet history with hosts, but one in five hosts wanted access to that information. Overall, our findings surface tensions between hosts and guests around the use of smart devices and in-home data collection. We synthesize recommendations to address the surfaced tensions and identify broader research challenges.
Missed by Filter Lists: Detecting Unknown Third-Party Trackers with Invisible Pixels
Authors: fouad Imane , Bielova Nataliia , Legout Arnaud , Sarafijanovic-Djukic Natasa 
Published: May 2020

Abstract
Web tracking has been extensively studied over the last decade. To detect tracking, previous studies and user tools rely on filter lists. However, it has been shown that filter lists miss trackers. In this paper, we propose an alternative method to detect trackers inspired by analyzing behavior of invisible pixels. By crawling 84,658 webpages from 8,744 domains, we detect that third-party invisible pixels are widely deployed: they are present on more than 94.51% of domains and constitute 35.66% of all third-party images. We propose a fine-grained behavioral classification of tracking based on the analysis of invisible pixels. We use this classification to detect new categories of tracking and uncover new collaborations between domains on the full dataset of 4, 216, 454 third-party requests. We demonstrate that two popular methods to detect tracking, based on EasyList&EasyPrivacy and on Disconnect lists respectively miss 25.22% and 30.34% of the trackers that we detect. Moreover, we find that if we combine all three lists, 379, 245 requests originated from 8,744 domains still track users on 68.70% of websites.
Microbial Community of Kefir and its Impact on the Gastrointestinal Microbiome in Health and Disease
Authors: Lazda Ilva , Krūmiņa Angelika , Zeltiņa Indra , Krūmiņa Nikola , ķibilds Juris , Siksna Inese , Vīksna Ludmila , Derovs Aleksejs 
Published: May 2020

Abstract
Kefir is a fermented dairy product, created by fermentation of milk by bacteria and yeasts. Kefir is the most common traditional non-sweetened fermented dairy beverage in the Baltic countries. Whole kefir and specific fractions and individual organisms isolated from kefir provide a multitude of health benefits, including regulation of composition of the gut microbiome. This review aims to summarise the available data about influence of kefir consumption on the gut microbiome in healthy individuals and to highlight the effects that kefir consumption as well as separated fractions of kefir can have in disease states via modulation of the host microbiome.