bluuebunny/crossref_metadata_2025 huggingface dataset:
Psych verbs
Authors: Rozwadowska Bożena , Nowak Arkadiusz , Bondaruk Anna
Published: May 2020

The main reason why this book is important for current linguistic debates is the fact that the puzzle of psychological verbs, dating back to the seminal paper by Belletti and Rizzi (1988) (henceforth B&R) is far from being settled. Recently it has been gaining even more attention, with research on typologically different languages bringing new empirical data and new insights (e.g., Marín & McNally, 2011; Alexiadou & Iordăchioaia, 2014; Fábregas & Marín, 2015, 2017; Fábregas et al., 2017; Temme & Verhoeven, 2016; García-Pardo, 2018; Hirsch, 2018). There is a whole variety of approaches to the “psych phenomenon” or “psych properties” (see Landau, 2010 for a list of the puzzling psych properties attested cross-linguistically), each looking at the problem from a different angle, depending on the language and the specific puzzle. The purpose of the present book is to focus on issues that were not central to the previous debate or which still remain very controversial. The collection of chapters in this volume focuses on Polish and Spanish psychological verbs, two typologically different languages, in comparison with English, which bring to light new overt contrasts that remain covert in other languages (e.g., overt aspectual distinctions, the peculiarities of dative structures, including the constructivist account of some stative Experiencer eventualities, the role of information structure in word-order phenomena with psych verbs). This makes it possible to discover new relations at the interfaces of language subsystems.
Polish psych verbs as non-achievements
Authors: Rozwadowska Bożena
Published: May 2020

In this chapter it is argued, on the basis of the evidence from Polish, that the traditional Vendlerian classification of verbs is insufficient to accommodate Polish psych verbs. It is demonstrated that Polish perfective psych verbs are initial boundary events, different from final boundary events, such as change of state events or achievements. The analysis of temporal entailments in the domain of Polish Subject Experiencer (SE) verbs and Object Experiencer (OE) verbs supports the claim that perfectivity overtly marks the left boundary (beginning) of the state in Polish. Consequently, there is no culmination or result phrase in the denotation of either SE or OE verbs. This correlates with their behavioral syntactic properties such as passivization. The paper provides further support for the importance of inceptive/initial events different from telic right-boundary events. An attempt is made to accommodate the observations made in this chapter in the framework developed in Ramchand (2004 and subsequent work).
The syntax of accusative and dative Experiencers in Polish
Authors: Bondaruk Anna
Published: May 2020

The chapter examines the syntax of accusative and dative Experiencers found with stative Object Experiencer verbs in Polish with a view to determining whether they are associated with an unaccusative structure (Belletti & Rizzi, 1988; Pesetsky, 1995; Landau, 2010a) or are simply transitive (Grafmiller, 2013). Binding and passivization properties of the two types of Experiencer in Polish indicate that they are syntactically special, with accusative Experiencers forming a part of complex unergative structure as in Bennis (2004), and dative Experiencers occupying a Spec,vP position. The analysis of two linear orders of accusative and dative Experiencers with respect to the Target/Subject Matter (hence, T/SM) argument demonstrates that in the Experiencer-first order, the Experiencer is scrambled to an A’-position, whereas the T/SM remains in situ, while in the T/SM-first order, the T/SM comes to occupy the Spec,TP position, while the Experiencer is not affected by movement.
Polish impersonal middles with a dative as syntactically derived experience events
Authors: Willim Ewa
Published: May 2020

Polish episodic impersonals featuring a (transitive) agentive verb in the imperfective aspect, an overt dative argument understood to be (coreferential with) the Agent of the activity event denoted by VP, an adverb like łatwo ‘easily’ or a PP like z przyjemnością ‘with pleasure’ and the (formally) reflexive się ‘SE’, are argued here to be impersonal middles expressing experiential evaluation of specific VP-events. The property of the VP-event expressed with the evaluative adverbial is parametrized to the dative argument, an Experiencer, which is added to VP by an applicative head together with the adverbial. The Agent is not present, as the experience event that arises when the applicative head adds an Experiencer to an agentive VP cannot license agentive Voice. The absence of the Agent is encoded with się ‘SE’, a lexical A-expletive devoid of φ-features and the feature of case in the specifier of a null non-thematic middle voice head. Polish episodic impersonals with a dative Experiencer provide evidence that evaluative impersonal middles need not be generic and stative and that they need not be based on unergative verbs. Accusative case is assigned to the verb’s internal argument in violation of Burzio’s Generalization (BG), showing that BG is not a syntactic universal.
Spanish version of the Status Anxiety Scale (Versión española de la Escala de Ansiedad por el Estatus)
Authors: Melita Davide , Velandia-Morales Andrea , Iruela-Toros David , Willis Guillermo B. , Rodríguez-Bailón Rosa
Published: May 2020

This study presents the adaptation and evidence of validity of the Spanish version of the Status Anxiety Scale. This measure evaluates people’s tendency to be concerned with their socioeconomic status. In two correlational studies, one exploratory ( N = 270) and one confirmatory ( N = 258), the instrument showed good reliability, in addition to a one-factor structure and a positive correlation with relative deprivation, tendency towards social comparison and perception of inequality. Furthermore, a third experimental study ( N = 140) found that the participants in the condition of low socioeconomic status experienced greater status anxiety. In short, these studies suggest that the Spanish version of the Status Anxiety Scale can be used in the Spanish population.
RIM-binding protein couples synaptic vesicle recruitment to release sites
Authors: Petzoldt Astrid G. , Götz Torsten W.B. , Driller Jan Heiner , Lützkendorf Janine , Reddy-Alla Suneel , Matkovic-Rachid Tanja , Liu Sunbin , Knoche Elena , Mertel Sara , Ugorets Vladimir , Lehmann Martin , Ramesh Niraja , Beuschel Christine Brigitte , Kuropka Benno , Freund Christian , Stelzl Ulrich , Loll Bernhard , Liu Fan , Wahl Markus C. , Sigrist Stephan J.
Published: May 2020

At presynaptic active zones, arrays of large conserved scaffold proteins mediate fast and temporally precise release of synaptic vesicles (SVs). SV release sites could be identified by clusters of Munc13, which allow SVs to dock in defined nanoscale relation to Ca2+ channels. We here show in Drosophila that RIM-binding protein (RIM-BP) connects release sites physically and functionally to the ELKS family Bruchpilot (BRP)-based scaffold engaged in SV recruitment. The RIM-BP N-terminal domain, while dispensable for SV release site organization, was crucial for proper nanoscale patterning of the BRP scaffold and needed for SV recruitment of SVs under strong stimulation. Structural analysis further showed that the RIM-BP fibronectin domains form a “hinge” in the protein center, while the C-terminal SH3 domain tandem binds RIM, Munc13, and Ca2+ channels release machinery collectively. RIM-BPs’ conserved domain architecture seemingly provides a relay to guide SVs from membrane far scaffolds into membrane close release sites.
Cytoskeletal organization of axons in vertebrates and invertebrates
Authors: Prokop Andreas
Published: May 2020

The maintenance of axons for the lifetime of an organism requires an axonal cytoskeleton that is robust but also flexible to adapt to mechanical challenges and to support plastic changes of axon morphology. Furthermore, cytoskeletal organization has to adapt to axons of dramatically different dimensions, and to their compartment-specific requirements in the axon initial segment, in the axon shaft, at synapses or in growth cones. To understand how the cytoskeleton caters to these different demands, this review summarizes five decades of electron microscopic studies. It focuses on the organization of microtubules and neurofilaments in axon shafts in both vertebrate and invertebrate neurons, as well as the axon initial segments of vertebrate motor- and interneurons. Findings from these ultrastructural studies are being interpreted here on the basis of our contemporary molecular understanding. They strongly suggest that axon architecture in animals as diverse as arthropods and vertebrates is dependent on loosely cross-linked bundles of microtubules running all along axons, with only minor roles played by neurofilaments.
On-site comparison of quantum Hall effect resistance standards of the KRISS and the BIPM: ongoing key comparison BIPM.EM-K12
Authors: Gournay P , Rolland B , Chae D -H , Kim W -S
Published: May 2020

The ongoing on-site comparison BIPM.EM-K12 is part of the BIPM programme implemented to verify the international coherence of the primary resistance standards. It allows National Metrology Institutes (NMIs) to validate their implementations of the quantum Hall effect (QHE) for dc resistance traceability by comparison to the reference maintained at the BIPM.

The realization of the ohm from the QHE-based standard of the NMIs at 100 Ω is compared with that realized by the BIPM from its own transportable quantum Hall resistance standard. This comparison is usually completed by scaling measurements from 100 Ω to 1 Ω and 10 kΩ through the measurement of the resistance ratios 100 Ω/1 Ω and 10 kΩ/100 Ω, respectively.

In October 2019, a new BIPM.EM-K12 on-site comparison was carried out at the Korea Research Institute of Standards and Science (KRISS). It was the first time the KRISS participated in this comparison programme.

Measurements of the 100 Ω transfer standard in terms of the SI value of the von Klitzing constant, R
K, agreed to 4 parts in 1010 with a relative combined standard uncertainty u
c = 24 × 10−10. Measurements of 10 kΩ/100 Ω and 100 Ω/1 Ω ratios agreed to 8 parts in 1010 with u
c = 26 × 10−10 and to 2 parts in 1010 with u
c = 23 × 10−10, respectively.

Main text

To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/.

The final report has been peer-reviewed and approved for publication by the CCEM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Splitting of the magnetic monopole pair-creation energy in spin ice
Authors: Hornung J , Gottschall T , Opherden L , Antlauf M , Schwarz M , Kroke E , Herrmannsdörfer T , Wosnitza J
Published: May 2020

The thermodynamics in spin-ice systems are governed by emergent magnetic monopole excitations and, until now, the creation of a pair of these topological defects was associated with one specific pair-creation energy. Here, we show that the electric dipole moments inherent to the magnetic monopoles lift the degeneracy of their creation process and lead to a splitting of the pair-creation energy. We consider this finding to extend the model of magnetic relaxation in spin-ice systems and show that an electric dipole interaction in the theoretically estimated order of magnitude leads to a splitting which can explain the controversially discussed discrepancies between the measured temperature dependence of the magnetic relaxation times and previous theory. By applying our extended model to experimental data of, various spin-ice systems, we show its universal applicability and determine a dependence of the electric dipole interaction on the system parameters, which is in accordance with the theoretical model of electric dipole formation.
Multiple growth of graphene from a pre-dissolved carbon source
Authors: Fazi Andrea , Nylander Andreas , Zehri Abdelhafid , Sun Jie , Malmberg Per , Ye Lilei , Liu Johan , Fu Yifeng
Published: May 2020

Mono- to few-layer graphene materials are successfully synthesized multiple times using Cu-Ni alloy as a catalyst after a single-chemical vapor deposition (CVD) process. The multiple synthesis is realized by extracting carbon source pre-dissolved in the catalyst substrate. Firstly, graphene is grown by the CVD method on Cu-Ni catalyst substrates. Secondly, the same Cu-Nicatalyst foils are annealed, in absence of any external carbon precursor, to grow graphene using the carbon atoms pre-dissolved in the catalyst during the CVD process. This annealing process is repeated to synthesize graphene successfully until carbon is exhausted in the Cu-Ni foils. After the CVD growth and each annealing growth process, the as-grown graphene is removed using a bubbling transfer method. A wide range of characterizations are performed to examine the quality of the obtained graphene material and to monitor the carbon concentration in the catalyst substrates. Results show that graphene from each annealing growth process possesses a similar quality, which confirmed the good reproducibility of the method. This technique brings great freedom to graphene growth and applications, and it could be also used for other 2D material synthesis.
Calculation of shear viscosity in Au+Au collisions at NICA energies
Authors: Zabrodin E , Teslyk M , Vitiuk O , Bravina L
Published: May 2020

Shear viscosity of hot and dense nuclear matter, produced in the central zone of central gold-gold collisions at energies of NICA, is calculated within the UrQMD model. Besides the microscopic simulations of heavy ion collisions, the procedure assumes the application of statistical model to determine the temperature and chemical potentials in the system, and study of the relaxation process within the UrQMD box with periodic boundary conditions. The latter is used for calculation of the correlator which enters the Green-Kubo formula for shear viscosity. The fluctuations at early and late stages of the system evolution are studied. Results are compared to predictions of other models.
Statistical analysis and stochastic interest rate modeling for valuing the future with implications in climate change mitigation
Authors: Perelló Josep , Montero Miquel , Masoliver Jaume , Farmer J Doyne , Geanakoplos John
Published: May 2020

High future discounting rates favor inaction on present expending while lower rates advise for a more immediate political action. A possible approach to this key issue in global economy is to take historical time series for nominal interest rates and inflation, and to construct then real interest rates and finally obtaining the resulting discount rate according to a specific stochastic model. Extended periods of negative real interest rates, in which inflation dominates over nominal rates, are commonly observed, occurring in many epochs and in all countries. This feature leads us to choose a well-known model in statistical physics, the Ornstein–Uhlenbeck model, as a basic dynamical tool in which real interest rates randomly fluctuate and can become negative, even if they tend to revert to a positive mean value. By covering 14 countries over hundreds of years we suggest different scenarios and include an error analysis in order to consider the impact of statistical uncertainty in our results. We find that only 4 of the countries have positive long-run discount rates while the other ten countries have negative rates. Even if one rejects the countries where hyperinflation has occurred, our results support the need to consider low discounting rates. The results provided by these fourteen countries significantly increase the priority of confronting global actions such as climate change mitigation. We finally extend the analysis by first allowing for fluctuations of the mean level in the Ornstein–Uhlenbeck model and secondly by considering modified versions of the Feller and lognormal models. In both cases, results remain basically unchanged thus demonstrating the robustness of the results presented.
Strong shrub expansion in tundra-taiga, tree infilling in taiga and stable tundra in central Chukotka (north-eastern Siberia) between 2000 and 2017
Authors: Shevtsova Iuliia , Heim Birgit , Kruse Stefan , Schröder Julius , Troeva Elena I , Pestryakova Luidmila A , Zakharov Evgeniy S , Herzschuh Ulrike
Published: May 2020

Vegetation is responding to climate change, which is especially prominent in the Arctic. Vegetation change is manifest in different ways and varies regionally, depending on the characteristics of the investigated area. Although vegetation in some Arctic areas has been thoroughly investigated, central Chukotka (NE Siberia) with its highly diverse vegetation, mountainous landscape and deciduous needle-leaf treeline remains poorly explored, despite showing strong greening in remote-sensing products. Here we quantify recent vegetation compositional changes in central Chukotka over 15 years between 2000/2001/2002 and 2016/2017. We numerically related field-derived information on foliage projective cover (percentage cover) of different plant taxa from 52 vegetation plots to remote-sensing derived (Landsat) spectral indices (Normalised Difference Vegetation Index (NDVI), Normalised Difference Water Index (NDWI) and Normalised Difference Snow Index (NDSI)) using constrained ordination. Clustering of ordination scores resulted in four land-cover classes: (1) larch closed-canopy forest, (2) forest tundra and shrub tundra, (3) graminoid tundra and (4) prostrate herb tundra and barren areas. We produced land-cover maps for early (2000, 2001 or 2002) and recent (2016 or 2017) time-slices for four focus regions along the tundra-taiga vegetation gradient. Transition from graminoid tundra to forest tundra and shrub tundra is interpreted as shrubification and amounts to 20% area increase in the tundra-taiga zone and 40% area increase in the northern taiga. Major contributors of shrubification are alder, dwarf birch and some species of the heather family. Land-cover change from the forest tundra and shrub tundra class to the larch closed-canopy forest class is interpreted as tree infilling and is notable in the northern taiga. We find almost no land-cover changes in the present treeless tundra.
The potential for REDD+ to reduce forest degradation in Vietnam
Authors: Ngo D T , Le A V , Le H T , Stas S M , Le T C , Tran H D , Pham T , Le T T , Spracklen B D , Langan C , Cuthbert R , Buermann W , Phillips O L , Jew E K K , Spracklen D V
Published: May 2020

Natural forests in Vietnam have experienced rapid declines in the last 70 years, as a result of degradation from logging and conversion of natural forests to timber and rubber plantations. Degradation of natural forests leads to loss of biodiversity and ecosystem services, impacting the livelihoods of surrounding communities. Efforts to address ongoing loss of natural forests, through mechanisms such as Reduced Emissions from Deforestation and Degradation (REDD+), require an understanding of the links between forest degradation and the livelihoods of local communities, which have rarely been studied in Vietnam. We combined information from livelihood surveys, remote sensing and forest inventories around a protected natural forest area in North Central Vietnam. For forest-adjacent communities, we found natural forests contributed an average of 28% of total household income with plantation forests contributing an additional 15%. Although officially prohibited, logging contributed more than half of the total income derived from natural forests. Analysis of Landsat images over the period 1990 to 2014 combined with forest inventory data, demonstrates selective logging was leading to ongoing degradation of natural forests resulting in loss of 3.3 ± 0.8 Mg biomass ha−1 yr−1 across the protected area. This is equivalent to 1.5% yr−1 of total forest biomass, with rates as high as 3% yr−1 in degraded and easily accessible parts of the protected area. We estimate that preventing illegal logging would incur local opportunity costs of USD $4.10 ± 0.90 per Mg CO2, similar to previous estimates for tropical forest protected areas and substantially less than the opportunity costs in timber or agricultural concessions. Our analysis suggests activities to reduce forest degradation in protected areas are likely to be financially viable through Vietnam’s REDD+ program.
First passage time moments of asymmetric Lévy flights
Authors: Padash Amin , Chechkin Aleksei V , Dybiec Bartłomiej , Magdziarz Marcin , Shokri Babak , Metzler Ralf
Published: May 2020

We investigate the first-passage dynamics of symmetric and asymmetric Lévy flights in semi-infinite and bounded intervals. By solving the space-fractional diffusion equation, we analyse the fractional-order moments of the first-passage time probability density function for different values of the index of stability and the skewness parameter. A comparison with results using the Langevin approach to Lévy flights is presented. For the semi-infinite domain, in certain special cases analytic results are derived explicitly, and in bounded intervals a general analytical expression for the mean first-passage time of Lévy flights with arbitrary skewness is presented. These results are complemented with extensive numerical analyses.
Main results of the 26th conference with international participants Vacuum Science and Equipment
Authors: Nesterov S B , Kolesnik L L
Published: May 2020

In this preface the main results of the 26th conference with international participants Vacuum Science and Equipment that was held on 16-22 September 2019 are discussed.
Development and researches of vacuum gauges with sensitive elements created by MEMS technology
Authors: Kuvandykov R E , Teteruk R A
Published: May 2020

The article is devoted to the development and research of sensitive elements, transducers and vacuum gauges created by MEMS technology and intended for measuring absolute pressure in a wide range from 10−3 to 105 Pa.
Metrological support of test leak in vacuum
Authors: Fomin D M
Published: May 2020

The article discusses work principles of test leaks in vacuum, metrological support and main problems arising during operation.
Research of the influence of vacuum deposition on the growth rate of MoS2 films
Authors: Belikov A I , Kalinin V N , Sikov A V
Published: May 2020

The research results of the working pressure and discharge power influence on the growth rate of molybdenum disulfide thin films on silicon substrates during magnetron sputtering of the target in vacuum are presented. Based on experimental data, an empirical model has been developed that relates the film growth rate to argon pressure and discharge power on a magnetron sputtering system.
Simulation of the electrical conductivity of island-type thin films and nanostructures
Authors: Andreasyan O G , Sidorova S V
Published: May 2020

Areas of application of islet thin films in science and technology are described. Experiments on the formation of metal island nanostructures are performed. The principle of calculating the size of islands at different stages of growth is presented. The function of the tunneling current between islet nanostructures versus the deposition time is empirically deduced.
Actuator Based on a Dielectric Elastomer with Quartz as a Filler for Vacuum Technology
Authors: Bazinenkov A M , Ivanova D A , Rotar’ A P , Mikhailov V P
Published: May 2020

Modern equipment requires precise movement of objects both at atmospheric pressure and in vacuum conditions. Moreover, vacuum equipment is subjected to a number of external disturbances that adversely affect the manufacturing process and have a direct impact on the quality of manufactured products. A promising development in this area is actuators based on dielectric elastomers, characterized by a short reaction time (milliseconds) and a simple and cheap implementation. Successful implementation depends on an understanding of its behavior and properties, depending on the choice of matrix and filler materials. Most often, expensive barium titanate is used as a filler. This paper discusses the use of quartz as a cheaper filler.
Gas Analysis of Magnetorheological Elastomer During Vacuum Degassing
Authors: Bazinenkov A M , Efimov I A , Rotar A P , Ivanova D A
Published: May 2020

Research conducted in a vacuum requires high accuracy, but multiple vibrational and shock disturbing effects adversely affect the results. To increase the accuracy, it is possible to install a vibration isolation system in a vacuum chamber. One of the promising areas of active vibration isolation is the use of intelligent materials in them, including magnetorheological elastomer (MRE). Since most studies need to be carried out in a high and ultra-high vacuum environment, it is necessary to know the degree of influence of the MRE gas release on the quality of the operation environment. Thus, the aim of the work was to analyze the spectrum of released gases during degassing of the polymer (MRE) in vacuum at room and elevated temperatures. It was found that increased gas evolution from the studied polymer sample with increasing temperature does not allow to achieve high vacuum (1,7 · 10−3
Torr). We also identified that gases with the highest partial pressures are part of the atmospheric air; there are other gases not analyzed that significantly affect the total pressure (have a pressure of the order of 10−3 – 10−4
Torr).
MoS2 ultrathin films vacuum deposition and its AFM investigation
Authors: Belikov A I , Phyo Kyaw Zin , Thi Nhan Do , Linn Aung
Published: May 2020

In this article, we present the results of AFM studies on molybdenum disulfide ultrathin films (with a thickness of 3 to 13 nm) deposited on silicon substrates in vacuum by the magnetron sputtering MoS2 target during 10, 20 and 30 seconds. The film samples structural features were estimated and the deposition time influence on surface roughness, crystals size and its distribution asymmetry, fractal dimension was determined.
Development of a calculation method of the main parameters of the multistage turbomolecular pump
Authors: Gordeeva U S , Demikhov K E , Ochkov A A
Published: May 2020

We developed a calculation method of the pumping parameters of the molecular stage of the turbomolecular vacuum pump (TMP) operating in the molecular flow region. Also, the authors developed the calculation method of the main parameters of the multistage TMP for the providing the main pumping parameters including ultimate pressure, pumping speed, compression ratio. As a result of calculation, the we got the performance curve of the multistage TMP.
Investigation of WSi and NbN superconducting single-photon detectors in mid-IR range
Authors: Antipov A V , Seleznev V A , Vakhtomin Yu B , Morozov P V , Vasilev D D , Malevannaya E I , Moiseev K M , Smirnov K
Published: May 2020

Spectral characteristics of WSi and NbN superconducting single-photon detectors with different surface resistance and width of nanowire strips have been investigated in the wavelength range of 1.3-2.5 μm. WSi structures with narrower strips demonstrated better performance for detection of single photons in longer wavelength range. The difference in normalized photon count rate for such structures reaches one order of magnitude higher in comparison with structures based on NbN thin films at 2.5 μm.
Providing of Ultra-Thin Film Thickness Uniformity by Magnetron Sputtering from Two Sources
Authors: Hydyrova S , Akishin M Yu , Vasilev D D , Moiseev K M
Published: May 2020

To achieve high characteristics of single-photon detectors based on WSi thin films it is necessary to provide high film thickness uniformity more than 95%. This paper presents a mathematical modeling of the thickness uniformity of an ultra-thin film formed by magnetron sputtering from two sources, based on an experimentally determined mass flow from a single magnetron, depending on the location of the magnetrons relative to the substrate holder. According to the results of non-uniformity modeling, the requirements for the design and location of the magnetron unit in the chamber were made, which ensured the required non-uniformity of the film thickness of less than 5%.
Possibilities of the Electron-Beam Machine «LUCH» for Dimensional Microprocessing of Glass and Ceramic Materials
Authors: Zhuo Y , Liang M , Moiseev K M , Kolesnik L L , Panfilov Yu V
Published: May 2020

The article presents the modern applications and advantages of electron beam technology in the processing of glass and ceramic materials. The design and technological capabilities of the vacuum machine «LUCH» for electron beam melting, welding and dimensional microprocessing of vacuum glass and ceramic materials, including LTCC ceramics, are considered.
Analysis of ion-plasma technology application in medical products proceedings to be used for maxillofacial surgery (Review)
Authors: Demiyanova A V , Mitrofanov E A , Simakin S B , Sipkin A M
Published: May 2020

This paper concerns with published data review about properties of materials and coatings, which are applied for maxillofacial miniplates manufacturing and coating. Such products are known to be widely used for osteosynthesis in maxillofacial surgery because of its considerable advantages over other forms of fixation. Most of alloys contain toxic metals. Application simultaneously at the same place materials, which possess different conductivity results on galvanic effects. It has been supposed to use deposited in vacuum silicon carbide (SiC) coating to decrease negative influence of toxic elements to a man. This coating successfully has been applied in dentistry.
Neural Network modeling of Thin Films Deposition Processes in the Master’s Degree Programs “Electronics and Nanoelectronics” and “Nanoengineerig”
Authors: Panfilova Ekaterina V. , Galaganova Elena N.
Published: May 2020

In this paper we consider the application of artificial neural networks in the Master’s degree programs. Nowadays neural network models have become a powerful tool of scientific research for engineers and students. Besides successful research depends on confided usage of common methods and algorithms of statistical community special attention in degree programs is given to data analysis and modeling methods. Students study modern neural networks software products, methods of data preparing, designing and training neural network and then apply neural networks algorithms in practice. The neural networks modeling plays a significant role in students education. During it students learn to create, tune and train their own neural networks and get full and detailed understanding of research in computer vision. Neural Networks models are successfully presented in graduation works. In this paper a few examples of how neural networks are used in thin films deposition processes modeling are presented.
Methods for improving the structural 3D ordering of self – assembled photonic crystal coatings obtained by electrophoresis deposition
Authors: Panfllova E V , Ezenkova D A
Published: May 2020

The article describes the main properties of self – assembled colloidal photonic crystal coatings. A comparison of coating deposition methods is presented. Electrophoresis deposition method has gained great interest because of its possibility of conditions variation. The main factors affecting the quality of the colloidal opal films during electrophoresis deposition are studied. The results of experimental researches on increasing the ordering of photonic crystal coatings are presented. It was found that the voltage range of 0.7 - 2.7 V and pH of 7 allows one to obtain thick films with a pronounced PBG.
The study of heat transfer by radiation when heating a substrate using an infrared heater with a reflector in a working chamber with cold walls
Authors: Bychkov S P , Zikyi E V
Published: May 2020

A model is constructed, based on the algebraic method for calculating heat transfer by radiation, to determine the maximum temperature of the substrate heating depending on the geometric and thermophysical parameters of the surfaces for the “heater-substrate-internal surface of the working chamber-working and reverse surfaces of the reflector” system. The results are verified experimentally.
Vehicle path tracking Based on Strong Tracking Cubature Kalman Filter While Encountering An Emergency Collision Avoidance
Authors: Wei Bi , Wei Wang , Shaoyi Bei , Ben Jin , Bo Li
Published: May 2020

Considering the high speed emergency avoidance situations, the vehicle path tracking was studied in this paper. The three degrees of freedom nonlinear vehicle model and the cubature Kalman filter are applied to tracking vehicle emergency avoidance path. For the degradation of adaptive tracking performance in the vehicle emergency avoidance, an improved strong tracking cubature Kalman filter algorithm is proposed by introducing the fading factor into filtering process which is learnt from strong tracking filter. The algorithm has a simple implementation, high estimation accuracy and good robustness. Different target paths are selected and the cubature Kalman filter is applied to simulate path tracking in the vehicle emergency avoidance. The simulation results show that the proposed path tracking method can control the vehicle tracking the ideal collision avoidance path rapidly without collisions.
Architecture Design of Resource Support System for the Rail-Water Intermodal Transportation Cloud Platform
Authors: Yuan Jiaxin , Huang Qiang , Wang Mantao , Feng Qianxi
Published: May 2020

Due to the unbalanced development of intermodal information development in different regions of China, the rigid structure of resource system and the low degree of information sharing, the development of intermodal transportation informationization is restricted to a large extent. According to the architecture design of the rail-water intermodal transportation cloud platform, this paper reconstructs the traditional IaaS and PaaS architectures, and establishes a multi-area redundant architecture, so that these virtual resources can form an organic whole in the cloud and interact with the intermodal organizations. At the same time, the direct coupling between the hardware infrastructure and software of the “chimneys” system architecture are eliminated by using the layered structure based on the virtualization technology. The resource support system can reduce the use cost of information, strengthen the management efficiency of software and hardware resources of cloud platform and a large number of heterogeneous business applications.
Research on Dynamic Simulation System of Dangerous Goods Road Transportation Accident Process
Authors: Chi Hongpeng , Gong Bing
Published: May 2020

Firstly, the overall scheme of the dynamic simulation system of the dangerous goods road transportation accident process is determined. According to the technical route of the system development, the functional framework of the software and the main input parameters (vehicle mass, speed, etc.) are completed, the three-dimensional model of the vehicle and scene is established, and the function of the simulation system is developed. The typical accidents such as rear end collision, fire explosion and leakage explosion in tunnel are simulated. The real-time display of accident process parameters and the visual display of accident hazard radius are realized.
Image Haze Removal Using Dark Channel Prior based on Guided Image
Authors: Tang Long
Published: May 2020

In foggy weather, the interference of fog has a serious impact on the accurate monitoring of vehicle targets. To address this problem, this paper proposed a method which is image haze removal based on the guided image. In the process of this method, the clear images are as the guide images, which is designed to effectively redress the bright region which is not meet the dark color prior by the prior information of the guide image, to avoided the error estimates of this kind of area of transmissivity. Experimental results demonstrate that our method achieves significant improvement in both image quality and image detail when compared with classical image haze removal method.
Preliminary Research on VR Technology Application to Inspect the Physical Evidence of Vehicle Body Trace at the Road Traffic Accident Scene
Authors: Hua-Wei Xie
Published: May 2020

This thesis discusses a VR-based system designed for the policing at the grass-root level at the road traffic accident scenes. Basing on theoretical studies and technical comparisons, a VR-assisted simulation system for investigating the road traffic accident scenes is created on the aspects of system architecture performance, databases, back-stage management modules. The VR-based system plays a favorable role in assisting the scene investigators and instructors. This system can improve the efficiency of scene investigators and increase the effects of related teaching and simulative training remarkably.
Road Resource Optimization and Restructuring Based on BP Neural Network
Authors: Li Hailong , Gao Zhiwei , Tan Xiaodong , Ma Yilong , Yang Xiaoyi
Published: May 2020

In order to solve the problem of uneven distribution of road resources during rush hour of commuter traffic in cities, a method called “tidal lane” was designed to optimize and restructure the road resources after calculation and measurement of the road occupation rate and the speed of the vehicle. The algorithm based on BP neural network is designed to judge whether the road is changing lanes or reversing with the input of road occupation rate and vehicle speed. The signal is controlled according to the results obtained by the algorithm to achieve the optimization and restructuring of road resources. After the simulation, the trained BP neural network is obtained, and then the test results are obtained. Finally, the correct rate of the network is calculated to reach 97%, which meets the design requirements and proves the reliability and correctness of the method.
Reinforce-Optimization of regional network seismic based on connectivity reliability
Authors: Tingting You , Weiwei Meng
Published: May 2020

Road traffic is an important access for emergency service and disaster relief after the earthquake. In this paper, a reinforce-optimization model for road network seismic is established in combination with the analysis results of the seismic reliability of road segment and the importance of road segment. The model is aimed at the lowest cost of reinforcement and optimization, ensuring the aseismic reliability of the road segment and the system to reach the lowest limited value after the reinforcement and optimization, and the highest reliability of the system is mainly considered after the reinforcement and optimization. The orthogonal enumeration method is used to solve the scheme which satisfies the model condition, and a design method for seismic reinforcement and optimization of road network is given. Finally, it confirms the feasibility of this method with an example.
Intermittent instability and its control in parallel converters
Authors: Lili Wang , Junning Chen
Published: May 2020

This paper studies intermittency instability and its control in parallel converters. By numerical simulation, the intermittent subharmonic and chaos are captured with coupled interference signal, their characteristics are described by bifurcation diagrams as parameter varies. Then the paper proposes control methods and it is proved effective by the comparison of power spectrums. The conclusion can help engineer to explain the inherent irregular motion in vehicle, and design more stable power electronic supplies.
An optimized Algorithm for broadcast beacon frequency and transmission power in VANETs
Authors: Yang Guoyan , Li Xiangfeng , Shi Haiyang
Published: May 2020

Power control has been an important branch of the research field for VANETs. In order to meet the safety of vehicle driving, Vehicle-to-Vehicle(V2V) communication has become a research hotpot simultaneously. In the internet of vehicles, most of the messages generated by V2V communication are implemented by broadcasting. This paper proposed a joint optimization algorithm for power control and broadcast beacon frequency based on the LTE-V2V communication protocol. This algorithm applies deep reinforcement learning (DRL) and designs a reward function that can represent the communication effect of LTE-V2V. The experimental results show that the proposed algorithm can better configure the transmitting power and broadcast beacon frequency of the vehicle terminal, and obtain more reliable communication effects in the dynamic traffic flow environment.
Greenhouse gas emission of corn butanol in life-cycle
Authors: Li Jiang , Qiang Wang , Rongfu Zhu
Published: May 2020

Since advances in the ABE (acetone-butanol-ethanol) fermentation process in recent years have led to significant increases in its productivity and yields, the production of butanol and its use in motor vehicles have become an option worth evaluating. It employs a well-to-wheels (WTW) analysis tool, and ascertains Bio-butanol-related WTW activities including corn farming, corn transportation, butanol production, butanol transportation, and vehicle operation. According to the 3 kinds of by-product of different methods of distribution, calculation and comparison of the greenhouse gas emissions in the life cycle of corn alcohol. The results show that 1) life cycle GHG emission of the corn butanol reduced 26%—49.5% according to the energy value method and product substitution method;2) bio-acetone that was coproduced with bio-butanol as an alternative to petroleum-based acetone could significantly reduce the life cycle GHG emission of butanol; 3) In the life cycle of the corn butanol, the main source of GHG emission was the use of natural gas, diesel and nitrogen, accounting for the total GHG emission by 53%, 21.4% and 13.38% respectively.
Application Study on Urban Road Volume-Time Function Based on RFID Data
Authors: Gu Jian , Yu Linghua , Li Miaohua
Published: May 2020

Radio Frequency Identification (RFID) plays an important role on road traffic management and basic data could be collected from automotive electronic registration identifications, which could be applied for road traffic management and planning. Firstly, road section volume-time function was discussed in the paper, and then urban road RFID data collected from the city of Nanjing were analyzed with mature methods on identifying redundant and wrong data based on license plate number. Then the function from Bureau of Public Road (BPR) was calibrated to get the basic volume-time function with RFID data, and the basic function was improved based on the time periods, and the improved functions were used to describe relationships between volume and travel time in weekdays and weekends, and the fitting effect is compared with the basic function. It was indicated that the fitting effort R2 was increased by 40% at least. The results can provide reference and support for urban road traffic planning.
Evaluation and selection of auto spare parts suppliers in supply chain
Authors: Zeng Rong
Published: May 2020

In order to reduce the cost of automobile manufacturing, it combines with the improved multi-objective analytic hierarchy process (AHP), establishes a supplier evaluation system to make a choice of suppliers. Taking the procurement status of a specific company as an example, the rationality of the choice of parts suppliers is analyzed.
Study On Train Routing Plan Of Y-Line Of Urban Rail Transit Considering Passenger Travel Purpose
Authors: Liu Yu , Han Baoming
Published: May 2020

Through the questionnaire survey on the passengers of the case line, the travel purpose of the passengers is divided into three categories: leisure, commuting and business. Based on the analysis of the rules of passenger’s choice of route, the model of passenger’s choice of route and the model of route planning are established, and the parameters of logic model are calibrated according to the results of questionnaire survey, and the generalized cost of passenger’s travel is obtained by considering the degree of train congestion. The validity of passenger flow distribution model and routing planning model is verified by solving the case line model.
The Development of the Assistant Driving and Monitoring and Assessment System for Missile Weapon Special Vehicles
Authors: Cui Hong-liang
Published: May 2020

Based on the analysis and study of the characteristics of missile weapon special vehicles, combined with the problems existing in the driving operation training process of the military drivers, an assistant driving and monitoring and assessment system for missile weapon special vehicles is developed. The design ideas of the hardware modules of the system and the realization methods of the software design of each subsystem are introduced in detail. Finally, the application effect of the system in the training of equipment formations of National Day parade is illustrated.
RBF Neural Network Based Correction Iterative Learning Control for Direct-drive Pump-controlled Clutch Actuator
Authors: Wang Jieyu , Gao Bingzhao , Chen Hong
Published: May 2020

This paper mainly focuses on the motion control of a novel direct-drive pump-controlled clutch-actuator system. The RBF neural network and iterative learning control method are combined to perform fast and accurate position tracking for dynamic nonlinear systems with high uncertainty. And the simulink and AMEsim co-simulation is carried out under different conditions. The simulation results confirm that the proposed RBF neural network based correction ILC controller has sufficient practicability and is suitable for the direct-drive pump-controlled actuator motion control conditions.
Vehicle Mass Identification Based on Two-axle and Two-mass Vibration Model
Authors: Wang Zhenyu , Li Ming , Wang Haoyu
Published: May 2020

The mass of the vehicle is an important parameter, through which many other performance indicators of the vehicle can be measured. The traditional method of vehicle mass identification is mainly through fixed platform detection station and weighing in motion. In this paper, a two-axle and two-mass vibration model is established to identify the vehicle mass, which takes the free vibration frequency of suspension as input and outputs the vehicle mass. Firstly, when the vehicle passes a specific excitation, the two-mass model composed of suspension and wheels generates free vibration, and then its main frequency is obtained. And then the mathematic relation between the vehicle mass and the main frequency is established through the two-axle vibration model, and the vehicle mass is obtained. Simulation in TruckSim shows that the average relative error between the identified mass and the actual mass is 6.27%. In practical application, the free vibration frequency of the suspension can be obtained by image recognition or displacement sensor, so as to identify the vehicle mass.
Research on the development of cold chain logistics of aquatic products in Zhoushan of China
Authors: Han Zhi , Fang Yunrui , Hua Linhui , Ma Qingwen , Wang JingXing , Gao Junkai , Yuan Pengxiang
Published: May 2020

Aquatic products are very ideal healthy food. Cold chain logistics is an effective way to ensure the quality of aquatic products in the circulation process. Zhoushan City (China) is situated in Zhoushan archipelago. Zhoushan fishing ground is the largest fishing ground in China, with abundant fishery resources. This paper expounds the theory of cold chain logistics, analyzes the present situation of cold chain logistics of Zhoushan aquatic products, points out the problems existing in cold chain logistics of Zhoushan aquatic products, and puts forward corresponding solutions, which has a positive role in promoting the development of cold chain logistics of Zhoushan aquatic products.