bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spectral Analysis of Pressure, Noise and Vibration Velocity Measurement in Cavitation
Authors: Jablonská Jana , Mahdal Miroslav , Kozubková Milada 
Published: November 2017

AbstractThe article deals with experimental investigation of water cavitation in the convergent-divergent nozzle of rectangular cross-section. In practice, a quick and simple determination of cavitation is essential, especially if it is basic cavitation or cavitation generated additionally by the air being sucked. Air influences the formation, development and size of the cavity area in hydraulic elements. Removal or reduction of the cavity area is possible by structural changes of the element. In case of the cavitation with the suction air, it is necessary to find the source of the air and seal it. The pressure gradient, the flow, the oxygen content in the tank, and hence the air dissolved in the water, the air flow rate, the noise intensity and the vibration velocity on the nozzle wall were measured on laboratory equipment. From the selected measurements the frequency spectrum of the variation of the water flow of the cavity with cavitation without air saturation and with air saturation was compared and evaluated.
Two Methods of Automatic Evaluation of Speech Signal Enhancement Recorded in the Open-Air MRI Environment
Authors: Přibil Jiří , Přibilová Anna , Frollo Ivan 
Published: November 2017

Abstract
The paper focuses on two methods of evaluation of successfulness of speech signal enhancement recorded in the open-air magnetic resonance imager during phonation for the 3D human vocal tract modeling. The first approach enables to obtain a comparison based on statistical analysis by ANOVA and hypothesis tests. The second method is based on classification by Gaussian mixture models (GMM). The performed experiments have confirmed that the proposed ANOVA and GMM classifiers for automatic evaluation of the speech quality are functional and produce fully comparable results with the standard evaluation based on the listening test method.
Altersbedingte Veränderungen der Mikrogliazellen: ihre Rolle bei gesundem Altern des Gehirns und bei neurodegenerativen Erkrankungen
Authors: Garaschuk Olga 
Published: November 2017

Zusammenfassung
Mikrogliazellen sind die Hauptimmunzellen des Gehirns. Laut jüngster Erkenntnisse sind sie jedoch nicht nur für die Immunabwehr des Gehirns, sondern auch für viele homöostatische Funktionen von entscheidender Bedeutung. Zum Beispiel für die Entwicklung und Erhaltung neuronaler Netze, die Freisetzung von Wachstumsfaktoren zur trophischen Unterstützung umliegender Neurone, die Überwachung und Modulation der synaptischen Übertragung, die Beseitigung von extrazellulären Proteinablagerungen sowie die Reparatur von Mikroschäden des Hirnparenchyms. Folglich wirken sich altersbedingte Veränderungen der Mikroglia-Funktion auf viele Aspekte der Hirnphysiologie aus. In diesem Beitrag möchte ich die physiologischen Eigenschaften der Mikrogliazellen im erwachsenen Säugetiergehirn erörtern und die Veränderungen dieser Eigenschaften während des gesunden Alterns sowie altersbedingten neurodegenerativen Erkrankungen diskutieren. Anschließend sollen die diesen Veränderungen zugrunde liegenden zellulären/molekularen Mechanismen erläutert werden. All diese Daten liefern zusammen einen neuen konzeptionellen Rahmen für die Betrachtung der Rolle der Mikrogliazellen bei altersbedingter Dysfunktion des Gehirns.
DFG-Graduiertenkolleg 2150„Neuronale Grundlagen der Modulation von Aggression und Impulsivität im Rahmen von Psychopathologie“
Authors: Habel Ute , Gur Ruben C. 
Published: November 2017

Zusammenfassung
Im April 2016 nahm das neue internationale Graduiertenkolleg 2150 (IRTG 2150) mit dem Titel „Neuronale Grundlagen der Modulation von Aggression und Impulsivität im Rahmen von Psychopathologie“ offiziell seine Arbeit auf. Institutionell setzt sich das internationale GRK zusammen aus (1) der Jülich-Aachen-Research-Alliance (JARA), einer Vernetzung der RWTH Aachen und dem Forschungszentrum Jülich, speziell der Sektion JARA-BRAIN, sowie (2) der renommierten University of Pennsylvania in den USA. Beide Standorte verbindet eine seit vielen Jahren bestehende enge wissenschaftliche Beziehung, die auf einer erfolgreichen Zusammenarbeit im vorangehenden gemeinsamen Internationalen Graduiertenkolleg zu Schizophrenie und Autismus (IRTG 1328, Sprecher: Frank Schneider) beruht und die in diesem neuen Verbund weiter ausgebaut werden soll. Das Graduiertenkolleg dient der wissenschaftlich-akademischen Qualifizierung auf dem Gebiet der klinischen, translationalen, molekularen und systemischen Neurowissenschaften. Zwölf Professoren aus unterschiedlichen wissenschaftlichen Disziplinen, wie Medizin, Psychologie, Biologie, Elektrotechnik und Physik bekommen jeweils eine Doktorandenstelle von der DFG finanziert. Hinzu kommen aktuell zehn assoziierte Doktoranden und fünf Medizinstudenten, die in Deutschland promovieren sowie weitere zehn Doktoranden, die an der University of Pennsylvania eingeschrieben sind. Mehrere Postdocs auf beiden Seiten vervollständigen die Gruppe.
New Approaches to Analyse Axon-Oligodendrocyte Communication
in vivo
Authors: Czopka Tim , Auer Franziska 
Published: November 2017

Abstract
A major challenge for understanding our nervous system is to elucidate how its constituting cells coordinate each other to form and maintain a functional organ. The interaction between neurons and oligodendrocytes represents a unique cellular entity. Oligodendrocytes myelinate axons by tightly ensheathing them. Myelination regulates speed of signal transduction, thus communication between neurons, and supports long-term axonal health. Despite their importance, we still have large gaps in our understanding of the mechanisms underlying myelinated axon formation, remodelling and repair. Zebrafish represent an increasingly popular model organism, particularly due to their suitability for live cell imaging and genetic manipulation. Here, we provide an overview about this research area, describe how zebrafish have helped understanding mechanisms of myelination, and discuss how zebrafish may help addressing open questions related to the control of axon-oligodendrocyte interactions.
Design and Implementation of Large Vessel Navigation System Based on Beidou Cors
Authors: Huang Pengfei , Liu Yang , Du Zhixiu , Chen Qilong , Chen Jinhai 
Published: November 2017

Abstract
The ship’s pilot can obtain the ship auxiliary information through the navigation system, when berthing system can display the parameters such as traverse speed and distance of the ship. But most of the system data show that there are insufficient precision. Taking the CORS system to obtain the location information, data Calculation of Berthing System based on Polar Coordinate Algorithm, this paper puts forward a solution to the “dead point” of the berthing and aiding system, which has a certain reference value for the design of the ship berthing assistance system.
A Conceptual Model of Excellent Performance Mode of Port Enterprise Logistics Management
Authors: Jiang He , Xiong Wei , Cao Yonghui 
Published: November 2017

Abstract
Port as one of the key hubs of international logistics, which has become the main part and the base of global logistics management. The port enterprises, plays an important role in the global supply chain. However, due to the lack of understanding in port supply chain management, coordination between the port enterprises, the integration of business process is not perfect, the lack of information sharing between various organizations, ports enterprises usually failed to fully play its positive role. Based on this, the paper makes the port enterprises as the research object, and introduces the excellent performance mode into the port enterprises. In order to study the port enterprises how to carry out effective quality management, and formation the coordination and integration of upstream and downstream of enterprises, so as to realize the competitive advantage in port logistics.
A Novel Multi-Objective Discrete Particle Swarm Optimization with Elitist Perturbation for Reconfiguration of Ship Power System
Authors: Zhang Lingjie , Sun Jianbo , Guo Chen 
Published: November 2017

Abstract
A novel multi-objective discrete particle swarm optimization with elitist perturbation strategy (EPSMODPSO) is proposed and applied to solve the reconfiguration problem of shipboard power system(SPS). The new algorithm uses the velocity to decide each particle to move one step toward positive or negative direction to update the position. An elitist perturbation strategy is proposed to improve the local search ability of the algorithm. Reconfiguration model of SPS is established with multiple objectives, and an inherent homogeneity index is adopted as the auxiliary estimating index. Test results of examples show that the proposed EPSMODPSO performs excellent in terms of diversity and convergence of the obtained Pareto optimal front. It is competent to solve network reconfiguration of shipboard power system and other multi-objective discrete optimization problems.
Investigations of Topographic Effect on Radial Current in South Yellow Sea
Authors: Chen Cheng , Wang Yigang , Huang Huiming 
Published: November 2017

Abstract
Large scaled projects are conducted in South Yellow Sea in recent years. Topographic effect and tidal current are key issues to the coastal engineering and the ocean engineering. In this study, field surveys were conducted to investigate the tidal level, current velocity, and current direction in South Yellow Sea. A numerical model was developed to simulate the radial current field based on the field data. To investigate the mechanism of the radial current field, the actual topography and a smoothed topography were applied in the numerical model, respectively. Results show that, the current field appeares radial because of the tidal system rather than the submarine topography. Local topography centralized the radiation centre and shifted the high-velocity zones. The actual topographic effect is proposed, and results show that local topography increases the flood tide velocity and decreases the ebb tide velocity. Lagrangian residual currents are calculated to illustrate possible sediment sources and transport routes.
Effect of Water Flows on Ship Traffic in Narrow Water Channels Based on Cellular Automata
Authors: Hu Hongtao , Chen Xiazhong , Sun Zhuo 
Published: November 2017

Abstract
In narrow water channels, ship traffic may be affected by water flows and ship interactions. Studying their effects can help maritime authorities to establish appropriate management strategies. In this study, a two-lane cellular automation model is proposed. Further, the behavior of ship traffic is analyzed by setting different water flow velocities and considering ship interactions. Numerical experiment results show that the ship traffic density-flux relation is significantly different from the results obtained by classical models. Furthermore, due to ship interactions, the ship lane-change rate is influenced by the water flow to a certain degree.
Water-Exit Process Modeling and Added-Mass Calculation of the Submarine-Launched Missile
Authors: Yang Jian , Feng Jinfu , Li Yongli , Liu An , Hu Junhua , Ma Zongcheng 
Published: November 2017

Abstract
In the process that the submarine-launched missile exits the water, there is the complex fluid solid coupling phenomenon. Therefore, it is difficult to establish the accurate water-exit dynamic model. In the paper, according to the characteristics of the water-exit motion, based on the traditional method of added mass, considering the added mass changing rate, the water-exit dynamic model is established. And with help of the CFX fluid simulation software, a new calculation method of the added mass that is suit for submarine-launched missile is proposed, which can effectively solve the problem of fluid solid coupling in modeling process. Then by the new calculation method, the change law of the added mass in water-exit process of the missile is obtained. In simulated analysis, for the water-exit process of the missile, by comparing the results of the numerical simulation and the calculation of theoretical model, the effectiveness of the new added mass calculation method and the accuracy of the water-exit dynamic model that considers the added mass changing rate are verified.
Dynamic Characteristics of Magnetic Coupling in Horizontal Axis Wave Energy Device
Authors: Zhang Jian , Liu Yanjun , Liu Jingwen , He Tongtong , Xie Yudong 
Published: November 2017

Abstract
To solve the dynamic response problems of magnetic coupling in the horizontal axis wave energy device, this has researched the dynamic characteristicsof magnetic coupling. The fitting formula about torque and angle of the magnetic coupling is obtained through experiments. The mathematical models of the magnetic coupling torque transmission are established. The steady state error of the magnetic coupling and the transfer function of the output angle are obtained. The analytical solution of the step response of the output angle in time domain is derived. The influence of the torsional rigidity, the damping coefficient and the driven rotor’s rotational inertia on dynamic characteristics of the magnetic coupling isanalyzed. According to the analysis results, the design rules of magnetic coupling are proposed.
Application of Computer Identification and Location Algorithm in Small far Infrared Target Recognition of Ship Under Surge Interference
Authors: Zhu Renping 
Published: November 2017

Abstract
The small far infrared target of ship in surge interference is easy to have visual deviation causing the low accuracy of target positioning and the bad target identification performance. In order to improve the accuracy of far small infrared targets recognition of ship under surge interference, this paper proposed far small infrared target recognition algorithm of ship based on distributed target position estimation and DOA location in computer vision model for constructing coherent distributed source array model of far small infrared target distribution of ship. This algorithm used MUSIC algorithm for the beamforming processing of far small infrared target echo model of ship. Combined with the adaptive filtering algorithm we carried out the surge interference suppression and the estimation of central direction of arrival and angle spread of far small infrared target of ship through multidimensional spectrum peak searching algorithm, realizing the joint estimation of distance of ship target, DOA and frequency parameters, so as to realize the accurate positioning and recognition of targets. Simulation results show that using this method for the far small infrared target recognition of ship under surge interference, the spectral peak sharpness of spectral peak search of target position is high, side-lobe suppression performance is good, which shows the high accuracy of target position estimation and location, the accuracy and anti-interference performance of far small infrared target recognition of ship is good, and has superior performance.
Numerical Simulation Study on Exposed Reinforced Anti-Corrosion Layer Damage of the Cross-Sea Bridge Under the Marine Environment
Authors: Qu Hao , Su Jufeng , Huang Pingming , Ren Xiang 
Published: November 2017

Abstract
To solve the problem of low precision of numerical simulation of the exposed reinforced anti-corrosion layer damage of the cross-sea bridge, we use the stress ratio between the double slash and the reinforced anti-corrosion layer to analyze the parameters and the damage rate in different qualities of reinforced anti-corrosion layers, use Ansys software to build reinforced finite element model, and analyze the damage degree when the inclination angle was 15 °, 45 ° and 60 °, respectively. The experimental results showed that the proposed method can improve the numerical simulation efficiency, the numerical simulation results, the experimental results, and the theoretical analysis results have good consistency and stability.
Research on Intelligent Avoidance Method of Shipwreck Based on Bigdata Analysis
Authors: Li Wei , Huang Qian 
Published: November 2017

Abstract
In order to solve the problem that current avoidance method of shipwreck has the problem of low success rate of avoidance, this paper proposes a method of intelligent avoidance of shipwreck based on big data analysis. Firstly,our method used big data analysis to calculate the safe distance of approach of ship under the head-on situation, the crossing situation and the overtaking situation.On this basis, by calculating the risk-degree of collision of ships,our research determined the degree of immediate danger of ships.Finally, we calculated the three kinds of evaluation function of ship navigation, and used genetic algorithm to realize the intelligent avoidance of shipwreck.Experimental result shows that compared the proposed method with the traditional method in two in a recent meeting when the distance to closest point of approach between two ships is 0.13nmile, they can effectively evade.The success rate of avoidance is high.
Research on Big Data Attribute Selection Method in Submarine Optical Fiber Network Fault Diagnosis Database
Authors: Chen Ganlang 
Published: November 2017

Abstract
At present, in the fault diagnosis database of submarine optical fiber network, the attribute selection of large data is completed by detecting the attributes of the data, the accuracy of large data attribute selection cannot be guaranteed. In this paper, a large data attribute selection method based on support vector machines (SVM) for fault diagnosis database of submarine optical fiber network is proposed. Mining large data in the database of optical fiber network fault diagnosis, and calculate its attribute weight, attribute classification is completed according to attribute weight, so as to complete attribute selection of large data. Experimental results prove that ,the proposed method can improve the accuracy of large data attribute selection in fault diagnosis database of submarine optical fiber network, and has high use value.
A Comparative Study on the Method of Extracting Edge and Contour Information of Multifunctional Digital Ship Image
Authors: Yin Fangping 
Published: November 2017

Abstract
The result of the extraction of the edge and contour information of the multifunctional digital ship image directly affects the evaluation and recognition of the subsequent image quality. At present, the common method used to extract the edge contour information is based on the Canny operator, and there is a problem that the edge is not clear.In order to obtain more accurate edge information, a method of extracting edge and contour information of multimedia digital image based on multi-scale morphology is proposed. Firstly, the digital ship image is made double filter and the fuzzy threshold segmentation, and then the edge and contour information is extracted by multi-scale morphology. Experiments show that the proposed method can obtain more accurate edge information compared with the other methods.
Argumentation in participant-driven photo interviews: A case in ICT for development in Mozambique
Authors: De Ascaniis Silvia , Vannini Sara , Cantoni Lorenzo 
Published: November 2017

Abstract
Argumentation is essentially dialogical, hence based on verbal disputation. Nonetheless, other semiotic resources than language may play a substantial role in argumentative circumstances. In this article, different argumentative functions played by photographs are explored, based on an unusual corpus for the field. People working in Mozambican Community Multimedia Centers (CMCs) were interviewed, in order to reconstruct the social meaning they confer to such places. To facilitate the exchange of meanings between interviewees and interviewers, who had different cultural and experiential backgrounds, interviewees were requested to take pictures of something they liked, something they didn’t like, and something they perceived as particularly representative of their CMC. Pictures were then presented and commented by participants during their interview. By means of analytical reconstructions, the major argumentative roles played by photographs in the interviews were identified, as well as their semiotic function in respect to interviewees’ words. Argumentative analysis also broadened and enriched the method of photo-driven interviews, and added a further interpretative access to analysis of social representations.
Direct Testing for Allele-Specific Expression Differences Between Conditions
Authors: León-Novelo Luis , Gerken Alison R , Graze Rita M , McIntyre Lauren M , Marroni Fabio 
Published: November 2017

AbstractAllelic imbalance (AI) indicates the presence of functional variation in cis regulatory regions. Detecting cis regulatory differences using AI is widespread, yet there is no formal statistical methodology that tests whether AI differs between conditions. Here, we present a novel model and formally test differences in AI across conditions using Bayesian credible intervals. The approach tests AI by environment (G×E) interactions, and can be used to test AI between environments, genotypes, sex, and any other condition. We incorporate bias into the modeling process. Bias is allowed to vary between conditions, making the formulation of the model general. As gene expression affects power for detection of AI, and, as expression may vary between conditions, the model explicitly takes coverage into account. The proposed model has low type I and II error under several scenarios, and is robust to large differences in coverage between conditions. We reanalyze RNA-seq data from a Drosophila melanogaster population panel, with F1 genotypes, to compare levels of AI between mated and virgin female flies, and we show that AI × genotype interactions can also be tested. To demonstrate the use of the model to test genetic differences and interactions, a formal test between two F1s was performed, showing the expected 20% difference in AI. The proposed model allows a formal test of G×E and G×G, and reaffirms a previous finding that cis regulation is robust between environments.
Аналіз впливу розміру газопарової бульбашки на процес гідратоутворення
Authors: Кутний Б. А. , Павленко А. М. , Абдуллах Н. М. 
Published: November 2017

Запропонована математична модель, яка враховує інерційну та термодинамічну складові осциляції бульбашок, теплообмінні процеси у рідині, теплообмін на границі бульбашки. Проведено дослідження динамічних характеристик газопарових бульбашок різних розмірів. Після виконаних розрахунків побудовано графіки зміни розміру бульбашки, її температури, швидкості руху, тиску парогазового середовища всередині бульбашки в часі. Встановлено, що кожен розмір бульбашок має свою частоту осциляцій. Розраховано швидкість гідратоутворення і встановлено, що вона набуває максимальних значень під час розігріву газового середовища всередині бульбашки. Поступово у в’язкій рідині осциляції затухають і процес гідратоутворення підтримується за рахунок відведення теплоти у зовнішні шари рідини. За термодинамічними характеристиками поверхні контакту рідкої та газоподібної фаз визначено кількість утвореного газового гідрату. Результати досліджень можуть застосовуватися для оптимізації різноманітних технологічних процесів, пов’язаних з кипінням, спученням матеріалів, утворенням газових гідратів та кавітацією у рідині