bluuebunny/crossref_metadata_2025 huggingface dataset:
Sensitivity to Morphosyntactic Information in Preschool Children With and Without Developmental Language Disorder: A Follow-Up Study
Authors: Deevy Patricia , Leonard Laurence B.
Published: November 2018

Purpose

This study tested children's sensitivity to tense/agreement information in fronted auxiliaries during online comprehension of questions (e.g.,Are the nice little dogs running?). Data from children with developmental language disorder (DLD) were compared to previously published data from typically developing (TD) children matched according to sentence comprehension test scores.

Method

Fifteen 5-year-old children with DLD and fifteen 3-year-old TD children participated in a looking-while-listening task. Children viewed pairs of pictures, 1 with a single agent and 1 with multiple agents, accompanied by a sentence with a fronted auxiliary (is+ single agent orare+ two agents) or a control sentence. Proportion looking to the target was measured.

Results

Children with DLD did not show anticipatory looking based on the number information contained in the auxiliary (isorare) as the younger TD children had. Both groups showed significant increases in looking to the target upon hearing the subject noun (e.g.,dogs).

Conclusions

Despite the groups' similar sentence comprehension abilities and ability to accurately respond to the information provided by the subject noun, children with DLD did not show sensitivity to number information on the fronted auxiliary. This insensitivity is considered in light of these children's weaker command of tense/agreement forms in their speech. Specifically, we consider the possibility that failure to grasp the relation between the subject–verb sequence (e.g.,dogs running) and preceding information (e.g.,are) in questions in the input contributes to the protracted inconsistency in producing auxiliary forms in obligatory contexts by children with DLD.

Supplemental Material

https://doi.org/10.23641/asha.7283459
Direct imaging of molten protoplanets in nearby young stellar associations
Authors: Bonati Irene , Lichtenberg Tim , Bower Dan J. , Timpe Miles L. , Quanz Sascha P.
Published: November 2018

During their formation and early evolution, rocky planets undergo multiple global melting events due to accretionary collisions with other protoplanets. The detection and characterization of their post-collision afterglows (magma oceans) can yield important clues about the origin and evolution of the solar and extrasolar planet population. Here, we quantitatively assess the observational prospects to detect the radiative signature of forming planets covered by such collision-induced magma oceans in nearby young stellar associations with future direct imaging facilities. We have compared performance estimates for near- and mid-infrared instruments to be installed at ESO’s Extremely Large Telescope (ELT), and a potential space-based mission called Large Interferometer for Exoplanets (LIFE). We modelled the frequency and timing of energetic collisions usingN-body models of planet formation for different stellar types, and determine the cooling of the resulting magma oceans with an insulating atmosphere. We find that the probability of detecting at least one magma ocean planet depends on the observing duration and the distribution of atmospheric properties among rocky protoplanets. However, the prospects for detection significantly increase for young and close stellar targets, which show the highest frequencies of giant impacts. For intensive reconnaissance with aKband (2.2μm) ELT filter or a 5.6μm LIFE filter, theβPictoris, Columba, TW Hydrae, and Tucana-Horologium associations represent promising candidates for detecting a molten protoplanet. Our results motivate the exploration of magma ocean planets using the ELT and underline the importance of space-based direct imaging facilities to investigate and characterize planet formation and evolution in the solar vicinity. Direct imaging of magma oceans will advance our understanding of the early interior, surface and atmospheric properties of terrestrial worlds.
On the periodicity of linear and nonlinear oscillatory reconnection
Authors: Thurgood J. O. , Pontin D. I. , McLaughlin J. A.
Published: November 2018

Context.An injection of energy towards a magnetic null point can drive reversals of current-sheet polarity leading to time-dependent, oscillatory reconnection (OR), which may explain periodic phenomena generated when reconnection occurs in the solar atmosphere. However, the details of what controls the period of these current-sheet oscillations in realistic systems is poorly understood, despite being of crucial importance in assessing whether a specific model of OR can account for observed periodic behaviour.

Aims.This paper aims to highlight that different types of reconnection reversal are supported about null points, and that these can be distinct from the oscillation in the closed-boundary, linear systems considered by a number of authors in the 1990s. In particular, we explore the features of a nonlinear oscillation local to the null point, and examine the effect of resistivity and perturbation energy on the period, contrasting it to the linear, closed-boundary case.

Methods.Numerical simulations of the single-fluid, resistive MHD equations are used to investigate the effects of plasma resistivity and perturbation energy upon the resulting OR.

Results.It is found that for small perturbations that behave linearly, the inverse Lundquist number dictates the period, provided the perturbation energy (i.e. the free energy) is small relative to the inverse Lundquist number defined on the boundary, regardless of the broadband structure of the initial perturbation. However, when the perturbation energy exceeds the threshold required for “nonlinear” null collapse to occur, a complex oscillation of the magnetic field is produced which is, at most, only weakly-dependent on the resistivity. The resultant periodicity is instead strongly influenced by the amount of free energy, with more energetic perturbations producing higher-frequency oscillations.

Conclusions.Crucially, with regards to typical solar-based and astrophysical-based input energies, we demonstrate that the majority far exceed the threshold for nonlinearity to develop. This substantially alters the properties and periodicity of both null collapse and subsequent OR. Therefore, nonlinear regimes of OR should be considered in solar and astrophysical contexts.
Design of University Library and Information Management System Based on Big Data Fusion
Authors: Zhang Jia
Published: November 2018

In order to improve the ability of library and information management in colleges and universities, and improve intelligent retrieval level of books, a design method of library information management system is proposed based on big data fusion. The phase space reconstruction technology is used to reconstruct the feature of library and information. The feature quantity of semantic concept set of library information is extracted, and the classification storage and information retrieval of library information is carried out by fuzzy clustering method. The adaptive training method is used for feature fusion, and big data fusion of library and information is realized in high dimensional feature space. The data processing center is set up under the Linux kernel environment, the application program of the university library information management system is developed under the Linux kernel, and the VXI bus technology is used to transmit and schedule the university library information management information and data. Realize the software development and design of the school library information management system. The test results show that the design of university library information management system with this method has good information storage and scheduling ability, and it improves the performance of library information retrieval. In the information recall rate and recall rate and other indicators performance has an advantage.
Drilling Material Data Warehouse ETL System Research Based on Crowd-Sourcing
Authors: Zhou Jie , Fang Ming , Cao Xin-ran
Published: November 2018

Drilling material data warehouse is an important platform for assisting drilling engineering decision support and data analysis. The construction of high-efficiency and high-quality enterprise-level data warehouse puts high requirements on data quality. The operation targets of oil and gas drilling engineering are buried underground, and there are difficulties in data obtaining. This causes many uncertain data in the oil and gas drilling business database. At the same time, the business database in one area is quite different from those of other areas due to geographical environmental impacts ,so the database selection and integration strategy is uncertain . In order to solve these uncertain problem, this paper proposes building a drilling materials data warehouse ETL system based on crowd-sourcing, and improve the data quality of the data warehouse, thereby improving the efficiency of data warehouse construction.
A Survey on Network Coordinate Systems
Authors: Cheng Ruosi , Wang Yu
Published: November 2018

Network coordinate systems play an important role in applications such as P2P file sharing, online network games, and IP positioning. Many network applications require a large amount of network delay data. However, plenty of network delay measurements will cause the network heavily loaded and unreachable problems between network nodes. The proposed network coordinate system provides an important means to solve these problems. Firstly the concept and application of the network coordinate system are introduced. Secondly, the existing representative network coordinate systems are elaborated in detail, such as system based on Euclidean distance and matrix decomposition, and then the advantages of each system are compared. Finally, the factors affecting the accuracy of network coordinate system prediction are analyzed, and the problems are pointed out which the network coordinate system is worth researching in the next step.
Application of GA-LM-BP Neural Network in Fault Prediction of Drying Furnace Equipment
Authors: Zhou Wei , Liu Deng , Hong Tan
Published: November 2018

In the foundry, the surface dry furnace is a special equipment for surface drying after sand core hydrophobic coating. In order to accurately predict whether it was possible to malfunction, four objective variables was used as input, and the health status of the equipment was used as the output. A prediction model based on the traditional BP neural network was established. This model combined genetic algorithm (GA) to optimize the initial weight of BP neural network; combined with LM (Levenberg-Marquardt) algorithm to improve the BP neural network, the error decreased too slowly when the predicted value approached the target value. Four kinds of evaluation methods were used in Matlab to compare the prediction results of the three models in simulation training. The research shows that the improved algorithm can overcome the problem that the traditional BP neural network has slow convergence rate and is easy to fall into the local optimal solution, and it has higher prediction accuracy, which provides a new solution to the fault prediction of the surface dry furnace.
Research on GRU-based credibility prediction of Web services
Authors: Zhang Haili , Zhang Xiuguo , Cao Zhiying
Published: November 2018

The service system is based on the SOA architecture, and its component services are usually deployed by third-party service providers in an open network environment. This openness also brings confusion to service system while extending functions. Unavailability of a single service may result in the unavailability of the entire service system. This paper uses Web service credibility as a standard to measure whether Web service is available. Web service credibility is calculated by 12 factors that affect quality of Web service. According to time series of Web service credibility in the past, credibility at next time period can be predicted. This paper proposes a Gated Recurrent Unit (GRU) algorithm which uses grid search algorithm and adaptive moment estimation (Adam) to solve above problem. In this algorithm, grid search algorithm is used to get the best hyper-parameters of network and Adam is used to correct the gradient in the gradient descent. Finally, based on a large number of real Web services, the GRU prediction algorithm is verified by experiments. Experimental results show that the GRU algorithm has higher prediction accuracy than other methods in Web service credibility prediction.
A multi-size convolution neural network for RTS games winner prediction
Authors: Huang Jie , Yang Weilong
Published: November 2018

Researches of AI planning in Real-Time Strategy (RTS) games have been widely applied to human behavior modeling and combat simulation. Winner prediction is an important research area for AI planning, which ensures the decision accuracy. In this paper, we introduce an effective architecture -- multi-size convolution neural network (MSCNN)-- into winner prediction. It can capture more feature for game states, because of the various sizes of filters in MSCNN. Experiments show that the modified evaluating algorithm can effectively improve the accuracy of winner prediction for RTS games.
Autonomous garbage detection for intelligent urban management
Authors: Wang Ying , Zhang Xu
Published: November 2018

With the development of smart city in major cities at home and abroad, especially the management of smart city, how to improve the intelligence level of urban environment monitoring and evaluation has become an important research topic. It is of great value to rapidly and accurately detect garbage from urban images in the application of intelligent urban management. This paper aims to adopt a deep learning strategy for automatic garbage detection. By training a Faster R-CNN open source framework with region proposal network and ResNet network algorithm, we look over garbage detection results on garbage images. In addition, to improve the accuracy of the method, a data fusion and augmentation strategy is proposed. As a result, experiments show that the method has favorable generalization ability and high-precision detection function.
The Application of Multi-modal Discourse in English Translation of Tujia Folk Song Long Chuan Diao in Western Hubei Province
Authors: Xu Hong
Published: November 2018

Nowadays, multi-modal discourse, including language, picture, audio and video play a very important role in the translation of folk songs. Under the comprehensive framework of Delu Zhang, this paper analyses the application of multi-modal discourse in the translation of Tujia folk song Long Chuan Diao from four aspects: cultural level, context level, content level and expressive level. The study can better understand Tujia folk songs and transmit Tujia culture. Multi-modal discourse analysis plays an important role in translating and spreading Tujia folk songs in Western Hubei province.
A method of image processing with QR code ablated on rough and highly reflective metal surface by laser
Authors: Li Jianhua , Shen Zhi , Yan Chaoning , Dong Nan , Liang Haimin
Published: November 2018

For the purpose of solving the tough problem of the recognition of QR code which is marked on rough and highly reflective metal surface by laser, this work proposes a method of image processing based on multi-feature fusion. This method was requested to establish the integrated feature combined by color feature, texture feature and classify pixel points by means of k-means clustering, then optimize the image of QR code by morphology, Finally, this method was applied to the QR code Laser marking on the AL97 casting aluminum ingots to recognize, then compare with the accepted method OTSU algorithm, The experimental results show that the method is effective obviously.
Study on Visual Techniques of Potential Pattern Discovery for Time Series Data
Authors: Xu Dalin , Wei Yingmei
Published: November 2018

Sequential pattern mining is always a very important branch of time series data mining. The pattern mining with visual means can be used to extract the knowledge of time series data more intuitively. Based on the research content, this paper analyzes the sequence pattern mining methods in different aspects and their combination with visualization technology. We further discuss and summarize the advantages of different visualization methods in discovering the potential patterns in time series data. Different systems and models have their unique information to show the focus. Compared with the characteristics of the model, the development and evolution of visualization technology for the discovery of potential patterns of time series data can be summarized. Finally, this paper discusses its development trend and how to play a greater role in the era of big data.
An underground three-dimensional displacement measurement system
Authors: Cheng Yifeng , Li Qing , Shentu Nanying , Zhang Chao
Published: November 2018

With the development of society, the damage of geological disaster to people's life and property is more serious, so the improvement of monitoring means of geological disaster is particularly urgent, there are some shortcomings in traditional monitoring methods, and it is impossible to measure the three-dimensional displacement of underground. The authors have designed an integrated three-dimensional displacement sensor to measure underground horizontal displacement and vertical displacement and tilt angle, and realize the real-time on-line monitoring of underground three-dimensional displacement visually through multi-group structure co-measurement.
A Hybrid Forecasting Method for Wind Speed
Authors: Jiao Jian
Published: November 2018

Wind energy is one of the most widely used renewable energy sources. Wind power generation is uncertain because of the intermittent of wind power. To reduce the influence of wind power generation on the power system, it is necessary to forecast wind speed. This paper presents a hybrid wind speed prediction method based on Autoregressive Integrated Moving Average (ARIMA) model and Artificial Neural Network (ANN) model. In three wind speed prediction tests, the hybrid, ARIMA and ANN models are applied respectively. By analyzing the predicted results, it can be concluded that the hybrid method has better forecasting result. By analyzing the results, we can conclude that the hybrid method has better prediction effect.
An Efficient Algorithm for Touring n Circles
Authors: Ding Yuepeng , Xie Xiong , Jiang Bo
Published: November 2018

This paper proposed an intelligent algorithm, which can build the shortest path of the intersecting circle sequences in the plane. The problem is transformed to a corresponding problem of computing the shortest path of three disjoint circles. And it is also an in-depth study of the traversal problem for the disjoint circle sequences. On the basis of the previous work, the algorithms are developed to construct such shortest path in polynomial time of O(kn) where 1≤k≤n under a given computational threshold. Since the algorithm is fully polynomial time consuming, this work can be conducted in layered manufacturing of rapid prototyping, displacement of wireless sensor networks, or other related computer-aided design and manufacturing applications.
Costas arrays searching algorithm based on vectors
Authors: Zhu Dianhong , Yao Jianguo
Published: November 2018

Costas arrays have been widely applied in wireless communication, radar and cryptography as they have the ideal auto-ambiguity properties. Costas arrays are constructed mostly using the algebraic method, or they can be found by exhaustive search. This paper first introduces the Costas arrays and their properties and then proposes the vector-based algorithm to make depth-first search for Costas arrays since the exhaustive search algorithm based on check matrix is flawed. The experiment results indicate that the algorithm based on vectors has higher search speed on a single CPU when compared with the exhaustive searching algorithm based on check matrix.
Design of automated collection and transfer robot for powder and flexible materials
Authors: Liu Yibo , Pan Ying
Published: November 2018

In order to solve the problem of collection and transport of toxic or odorous powder and flexible materials in industrial production, this article designs a robot that automatically collects and transports materials. Firstly, the system composition of the automated collection and transfer robot with the functions of collecting, transporting and trajectory traveling is discussed. The working principle of each functional module is introduced. The mechanical structure design of parallel parallelogram switch mechanism, grade I and II height adjusting mechanism, transfer device and walking device is completed. Secondly, a control system with STM32 chip as the core is designed. With the signal of relevant sensors as the auxiliary, the material collection, posture adjustment and trajectory traveling are realized. Finally, the rationality of the scheme is verified by the static and dynamic simulation of the key components of each functional module of the robot. The designed robot had been proved to have good running stability and reliability by simulation results, prototype trial and commissioning for key parts.
Motion Key frame Extraction Based on Grey Wolf Optimization Algorithm
Authors: Zhang Yi , Li Juan , Zhang Min
Published: November 2018

In order to extract the key frames more effectively, we propose a key frame extraction method for human motion sequences based on Grey Wolf Optimization (GWO) algorithm. The fitness function is defined with the minimum reconstruction error and the optimal compression rate. The social hierarchy of grey wolves and hunting strategy are simulated to search key frames. Experimental results show that the proposed method can not only maintain the consistency of key frames between similar human motion sequences, but also effectively compress and summarize the original motion data. Under the same compression ratio, the reconstruction error is the minimum.
Design of Automated Warehouse Management System
Authors: Chen Chen , Mao Jian , Gan Xingwen
Published: November 2018

Aiming at the low degree of automation in production enterprises, real-time tracking and automatic access to warehouses are realized by developing warehouse management software. The paper first analyzes the system requirements, and then gives the overall design plan, through C#, MySQL and TCP. IP communication protocol, compiled a set of warehouse management system software. The actual application shows that the automation level and management efficiency of production enterprises are improved.
Research on Brain Control Technology for Wheelchair
Authors: Rotier Dorian , Zhang Xiaodong , Guo Qian , Yuan Liang
Published: November 2018

This paper proposes a portable brain-computer interface paradigm and builds a portable brain-computer interface device suitable for brain-controlled wheelchairs. According to the characteristics of E-motiv EPOC equipment and its collected EEG, the hardware system of brain-controlled wheelchair was developed, and a real-time detection system of brain-controlled technology was built, which is used to collect EEG signals in real time to realize the wheelchair's motion control. Experimental results show that the accuracy of EEG control can meet the engineering application requirements.
Design and implementation of furnace temperature measurement system for power plant coal-fired boiler in acoustic method
Authors: Tian Feng , Zhang Hongguang , Tian Yan
Published: November 2018

The furnace temperature of coal-fired boilers in power plants is an important operating parameter for boiler flame monitoring and control, which directly affects the combustion efficiency and the safety of boilers. Based on the research status at home and abroad and the previous research foundation, this paper studies and designs the temperature measurement system of acoustics method. The principle of temperature measurement by sound method is discussed in this paper, and the generalized cross correlation (GCC) method for measuring flight time of sound waves is introduced. The software and hardware of the temperature measurement system are designed in detail. The experiment is carried out according to the measured data of power plant and the results show that the system can measure the average temperature of acoustic paths in the furnace. The feasibility of the system is verified. And this study provides a basis for the reconstruction of furnace temperature field.
Research on the Path Optimization Problem of Multi-Centre Distribution System
Authors: HE Kai-lun , DING Yi , SUN Hui-long
Published: November 2018

Based on the actual environment, the routing problem of multi centre distribution system is theoretically described and analyzed, and a genetic algorithm for solving the problem is proposed and verified by an example. The research shows that the genetic algorithm can be used effectively to optimize the distribution path and reduce the distribution cost. At the same time, the program is easy to operate and is convenient for the enterprise to apply.
Detection of fruits in warehouse using Electronic nose
Authors: Ding Qinghang , Zhao Dongjie , liu Jun , Yang Zeming
Published: November 2018

An electronic nose system for storage environments was built. The system would consist of sensor array, data acquisition module and host computer software. The electronic nose made up with eight metal-oxide-semiconductor gas sensors was used to test four types of stone fruit (Dragon fruit, Snow pear, Kiwi fruit, and Fuji apple). The results showed that the rate of corruption of kiwifruit was the fastest, followed by pitaya, and the apples and pears was comparable. The tested fruits can be divided into fresh and spoiled grades by using PCA. And finally, according to the problems related to node deployment, the electronic nose node deployment program was proposed
Daily Electricity Consumption Forecasting Based on Lazy Learning
Authors: Li Haiying , Yang Bingfang
Published: November 2018

Daily electricity consumption is varying randomly. To improve forecasting accuracy, a Lazy Learning (LL) model is proposed. LL aims to build the regression forecasting models upon vectors which are chosen byK-vector nearest neighbors (K-VNN) method.K-VNN can solve overfitting problem and high accuracy can be ensured. Since there are many factors related to electricity consumption, Grey T's correlation degree is used to determine key indexes to further improve the running efficiency of the model. In addition, fuzzy C-means (FCM) clustering is applied to explore the similar scenarios, then the searching scope of LL is reduced. A case studied in one building in Shanghai shows the proposed method can enhance the accuracy and efficiency of electricity consumption forecasting.
Load-balanced routing algorithm based on cluster heads optimization for wireless sensor networks
Authors: Du Yong-wen , Wang Zhang-min , Cai Gang , Gong Jun-hui
Published: November 2018

In order to solve the problem of unbalanced load consumption of nodes for wireless sensor networks (WSNs), this paper proposes a load-balanced routing algorithm based on cluster heads optimization for wireless sensor network. The proposed algorithm first applies first-order wireless transmission model to calculate the optimal number of clusters, then calculate nodes competitiveness rating by fuzzy algorithm considering the residual energy of node and distance from the node to base station, cluster head selection uses unequal clustering algorithm according to the competitiveness of nodes. By node competitiveness and energy management mechanism which cooperate with each other to select the best cluster heads. Use connected optimization between clusters to search multi-hop paths base station for reducing energy consumption of node, and consider transmission energy consumption, residual energy, transmission distance and other factors. The experimental results show that the proposed algorithm compared with LEACH and UCDP algorithm, can balance loading and effectively extend the life cycle of wireless sensor network.
Low-Reflection Cross Section and High-Isolation 2x2 Broadband Antenna Array for the MIMO Measurement System
Authors: Lee Wen-Yu , Lin Hsin-Piao , Lin Ding-Bing
Published: November 2018

The author of this paper explored Vivaldi [1] [2] line theory and technology and used it as a basis to propose a Vivaldi antenna array to replace a single Vivaldi antenna. This was to achieve a dual-polarized antenna with high directivity and high isolation in the MIMO anechoic chamber, and one that is minimally affected by the environment. The operating frequency of this antenna array covers a frequency range of 0.7–6.0 GHz and is composed of four Vivaldi units with relatively high isolation between them to reduce measurement errors caused by coupling. In each unit, two identical Vivaldi antennas are connected in parallel to form the same polarization unit, and a microstrip power divider was used and the impedance matching of circular holes was performed to design this connected antenna with an ultra-wide operating frequency and the same polarization. The authors then interconnected two polarization units orthogonally at 90 degree cross to form the antenna described in this study, which has high directivity, high isolation, an ultra-wide frequency and dual polarization. During the design process, an FR4 printed circuit board (PCB) was used to effectively reduce the cross-sectional area of the antenna and reduce reflection and interference on the basis of ensuring an ultra-wide operating frequency. Additionally, the two orthogonal units of each polarized antenna unit had to work separately, and the electric field data collected from different polarization directions were sequentially transmitted to the receiver for postprocessing to satisfy the measurement requirements of the MIMO OTA anechoic chamber. In this study, SEMCAD electromagnetic simulation software was used to adjust and complete the analysis of antenna characteristics and obtain a favorable operating frequency and voltage standing wave ratio, as well as excellent isolation and radiation characteristics.
Development and optimization of 4.5kV IGBT for power system
Authors: Li Li , Jin Rui , Zhao Ge , Leng Guoqing , Wang Yaohua , Pan Yan
Published: November 2018

In this paper, a 4500V IGBT is investigated by device simulation. The substrate resistivity and thickness of 4500V IGBT are determined by simulation, and the appropriate implantation dose of field stop layer is determined by the simulation. The test results show that the device can not meet the application requirements of power system, so we optimize the key parameters such as saturation voltage and safe operating area. The optimized device was fabricated and the experimental results show that the breakdown voltage is 6110V, the saturation voltage is 2.6V, and the maximum controllable turn-off current is 160A, which can well meet the simulation expectation and application requirements of power system.
Piezoelectric thermoelastic dissipation research of piezoelectric harvester under different vibration
Authors: Liu Yuting , Deng Jiahao , Ye Yong , Hou Zhuo , Duan Zuodong , Xu Sha
Published: November 2018

Piezoelectric materials are widely used to form piezoelectric energy harvesters. Also, the thermoelastic dissipation always influences the energy harvesting efficiency, during the energy harvest process. Therefore, in this paper, we discuss the effect of thermoelastic dissipation on the piezoelectric harvester through numerical calculation, simulation and experiment. The piezoelectric thermoelastic coupling governing equations under different vibration are derived, which are based on the Euler-Bernoulli beam theory, thermal conduction model and piezoelectric field model. Then, the structure frequency shift and thermoelastic damping are studied via numerical calculation and simulation. Meanwhile, we show the influence of the temperature field on the piezoelectric structure under different vibration modes. Furth more, we research the variations of piezoelectric structure thermoelastic dissipation characteristics under different structure geometry sizes. Based on these analyses, the effect of piezoelectric thermoelastic dissipation on the piezoelectric harvester is researched
Optimal Pricing for Service Provisioning in the Secondary Spectrum Market
Authors: Gu Fan , Li Xianwei , Zhao Liang , Zhang Haiyang , Yang Xiaoying
Published: November 2018

In this paper, we investigate the problem of spectrum sharing in a secondary spectrum market where one secondary operator provisions network access services to a number of secondary users (SUs) by leasing spectrum from spectrum holder. For the system model under consideration, the spectrum allocated to the secondary operator can be shared by SUs. We model the interaction between the secondary operator and SUs as a two-stage Stackelberg game, where the secondary operator network price decisions in the first stage, and SUs make their spectrum demands decisions in the second stage. We use the backward induction method to solve this game. The numerical results show that the proposed solution method can capture the main factors of the secondary spectrum market, and provide a promising framework for the design of future secondary CR systems.
A new slope unit extraction method based on improved marked watershed
Authors: Cheng Lu , Zhou Bo
Published: November 2018

As the basic geomorphologic unit for the occurrence of geological hazards, slope unit is widely used in the prevention and evaluation of landslide-based geological hazards. Its extraction is the primary target and important foundation for the risk assessment of landslide hazards. A new slope unit extraction method based on improved marked watershed is proposed in this paper. Firstly, the DEM image is segmented by marker-based watershed to extract mountain objects. Then the positive and negative terrain of the mountain objects are segmented by watershed to extract ridge lines and valley lines. Finally, these lines are superimposed to extract the slope unit. The experimental results show that slope unit can be extracted by this method. Compared with the traditional GIS methods, horizontal planes and inclined planes can be segmented correctly, and the problem of parallel boundaries caused by filling of depressions can be effectively avoided through this method.
SPI Implementation Based on M2e Microprocessor
Authors: Zhang Haifan , Ye Fei
Published: November 2018

Normally, the computer reads, writes and other control operations on the M2 board through the UART protocol. Our goal is to achieve control of the M2 board through the SPI protocol. The specific implementation is to use an M2 board (Master M2) as an intermediary to achieve control of the target M2 board (Slave M2). The communication between the user computer and the Master M2 still uses the UART protocol. The SPI protocol is used between the Master M2 and the Slave M2. The read/write and other operations of the Slave M2 board no longer need to occupy the UART resources of the user's computer, which eliminates the inconvenience of connecting two computers at the same time. In the case where data transmission is required for multiple M2 boards at the same time, a solution for improving efficiency and reducing cost is provided.
Lenext-generation biobanking
Authors: Dagher Georges , Lavitrano Maria Luisa , Hofman Paul
Published: November 2018

La recherche biomédicale connaît depuis le début du siècle un bouleversement de grande ampleur avec l’avènement de technologies à grand débit (les -omiques) appliquées à la biologie et associées à des approches biologiques, moléculaires ou aux techniques d’imagerie. Cette révolution méthodologique s’appuie sur l’analyse d’échantillons biologiques prélevés sur les patients puis conservés dans des biobanques. L’intégration des données massives obtenues par ces différentes technologies et leur analyse devrait permettre d’accroître nos connaissances des mécanismes complexes des pathologies humaines et une meilleure stratification des patients selon une nomenclature génétique ou moléculaire. L’accroissement exponentiel des données générées et leur complexité nécessitent cependant la mise en place d’infrastructures adaptées, de nouvelles modalités d’accès et d’échanges de ces données ainsi qu’une organisation optimisée des biobanques afin d’intégrer de nouvelles disciplines adaptées à l’analyse de ces données.
Opportunités et enjeux de la technologie blockchain dans le secteur de la santé
Authors: Petre Anca , Haï Nassima
Published: November 2018

Souvent décrite comme un outil permettant d’instaurer la confiance entre des acteurs aux intérêts divergents, la blockchain intéresse de nombreux secteurs depuis sa première utilisation en 2008. Initialement destinée à répertorier des transactions entre particuliers, ses applications ont largement évolué au gré des avancées technologies et à l’intérêt grandissant des entreprises internationales. Dans le secteur de la santé, la blockchain intéresse par plusieurs de ses fonctionnalités : son immutabilité qui en fait un excellent support pour authentifier des données sensibles comme des consentements d’essais cliniques, la possibilité d’éditer des smart contracts qui automatisent et facilitent de nombreux processus ou encore la constitution d’un réseau qui se met d’accord sur l’état de l’information. Beaucoup plébiscitée, la blockchain doit néanmoins faire ses preuves dans les conditions réelles d’utilisation et s’inscrire dans un contexte réglementaire et économique particulièrement complexe dans le secteur de la santé.
Fréquence cardiaque
Authors: Silvestre Jean-Sébastien , Vandecasteele Grégoire
Published: November 2018

Les macrophages résidents tissulaires ou ceux qui ont pour origine des monocytes circulants régulent l’homéostasie cardiaque en conditions physiologiques mais aussi pathologiques. La présence de macrophages résidents au sein du nœud auriculo-ventriculaire distal a été révélée par des études récentes réalisées chez la souris et chez l’homme. Ces macrophages expriment la connexine-43, une protéine de jonction intercellulaire, et augmentent la conduction auriculo-ventriculaire en accélérant la repolarisation des cardiomyocytes interconnectés. La compréhension fine et exhaustive du rôle de ces macrophages dans la conduction électrique cardiaque pourrait conduire à de nouvelles approches thérapeutiques reposant sur la modulation des fonctions macrophagiques dans le cœur arythmique.
Effects of A 3-Month Physiotherapy Intervention in Stable Cervical Dystonia As Add-On to Botulinum Toxin Therapy
Authors: Werner Christian , Derlien Steffen , Best Norman , Witte Otto , Smolenski Ulrich , Günther Albrecht
Published: November 2018

Background Treatment of choice for cervical dystonia comprises botulinum neurotoxin therapy. Whether additional physiotherapy can achieve better results is unclear.

Objectives To show effects of physiotherapy as an add-on treatment to botulinum neurotoxin therapy.

Methods 18 patients participated in this prospective interventional study (DRKS00006562) consisting of 2, 3-month periods. In the first period, usual botulinum toxin was applied. The second period comprised an additional multimodal physiotherapy program. Outcome measures were: range of motion, SF-36, Toronto Western Spasmodic Torticollis Rating Scale (TWSTRS), surface electromyography.

Results In the comparison first phase vs. second phase patients showed significant improvements in range of motion (flexion/extension: 16.3 ± 25.4; rotation: 19.1 ± 24.6), TWSTRS (severity: 3.8 ± 3.0; disability: 1.7 ± 2.0; pain: 4.4 ± 4,1) and in mental health (SF-36: 5.9 ± 7.5); p <0.05, respectively. No significant changes were seen in the lateral flexion ROM, physical health (SF-36) and the surface electromyography.

Conclusion Multimodal physiotherapy is a feasible and save additional treatment option for patients with cervical dystonia. An add-on physiotherapy program can achieve better treatment outcomes. Patients benefited especially with improved range of motion, and reduced pain and severity of symptoms.
Linksseitiger Chylothorax und Tumor des rechten vorderen Mediastinums
Authors: Bougioukas I. , Seipelt R. , Huwer H.
Published: November 2018

Es wird über einen 82-jährigen Patienten berichtet, der mit einem linksseitigen Chylothorax symptomatisch wurde. Die CT-Untersuchung zeigte einen Tumor im rechten vorderen oberen Mediastinum und Strukturen im linken Mediastinum, die als vergrößerte Lymphknoten interpretiert wurden. Wegen des Verdachtes auf ein Lymphom und zur Therapie des Chylothorax erfolgte eine linksseitige Thorakotomie. Die vermeintlichen Lymphknoten erwiesen sich als Chylome. Wir interpretieren den Mediastinaltumor als zystisches Lymphangiom und als Ursache des Chylothorax bei rechts mündendem Ductus thoracicus.
Comparative Pharmacokinetics of Mitragynine after Oral Administration of Mitragyna speciosa (Kratom) Leaf Extracts in Rats
Authors: Avery Bonnie , Boddu Sai , Sharma Abhisheak , Furr Edward , Leon Francisco , Cutler Stephen , McCurdy Christopher
Published: November 2018

Kratom (Mitragyna speciosa) has been examined for its opioid activity, especially for the treatment of opioid withdrawal and pain. Mitragynine, the most abundant alkaloid in kratom, is thought to be the major psychoactive alkaloid. An HPLC method was developed for the quantification of mitragynine in kratom leaf extracts. In addition, a multiple reaction mode based UPLC-MS/MS method was developed and validated for the quantification of mitragynine in rat plasma. Pharmacokinetic studies were performed by comparing a single intravenous dose of mitragynine (5 mg/kg, mitragynine hydrochloride) to a single oral dose of mitragynine (20 mg/kg, mitragynine hydrochloride), lyophilized kratom tea, and the organic fraction of the lyophilized kratom tea at an equivalent mitragynine dose of 20 mg/kg in rats. After intravenous administration, mitragynine exhibited a biexponential decrease in the concentration-time profile, indicating the fast distribution of mitragynine from the systemic circulation or central compartment to the peripheral compartments. Mitragynine hydrochloride, lyophilized kratom tea, and the lyophilized kratom tea organic fraction were dosed orally and the absolute oral bioavailability of mitragynine in rats was found to be 1.5- and 1.8-fold higher than that of mitragynine dosed alone. The results provide evidence that an equivalent oral dose of the traditional preparation (lyophilized kratom tea) and formulated/manufactured products (organic fraction) of kratom leaves provide better systemic exposure of mitragynine than that of mitragynine dosed alone.
The Actin Regulator Coronin-1A Modulates Platelet Shape Change and Consolidates Arterial Thrombosis
Authors: Stocker Thomas , Pircher Joachim , Skenderi Artid , Ehrlich Andreas , Eberle Clemens , Megens Remco , Petzold Tobias , Zhang Zhe , Walzog Barbara , Müller-Taubenberger Annette , Weber Christian , Massberg Steffen , Ishikawa-Ankerhold Hellen , Schulz Christian
Published: November 2018

Coronin-1A (Coro1A) belongs to a family of highly conserved actin-binding proteins that regulate cytoskeletal re-arrangement. In mammalians, Coro1A expression is most abundant in the haematopoietic lineage, where it regulates various cellular processes. The role of Coro1A in platelets has been previously unknown. Here, we identified Coro1A in human and mouse platelets. Genetic absence of Coro1A in mouse platelets inhibited agonist-induced actin polymerization and altered cofilin phosphoregulation, leading to a reduction in spreading and low-dose collagen induced aggregation. Furthermore, Coro1A-deficient mice displayed a defect in ferric chloride-induced arterial thrombosis with prolonged thrombus formation and reduced thrombus size. Immunofluorescence analysis revealed a less compact thrombus structure with reduced density of platelets and fibrinogen. In summary, Coro1A has a role in platelet biology with impact on spreading, aggregation and thrombosis.
Increased Neutrophil Activation and Plasma DNA Levels in Patients with Pre-Eclampsia
Authors: Hu Yae , Li Hui , Yan Ruhong , Wang Can , Wang Yun , Zhang Ce , Liu Meng , Zhou Tiantian , Zhu Weipei , Zhang Hong , Dong Ningzheng , Wu Qingyu
Published: November 2018

Pre-eclampsia (PE) is a chronic inflammatory disease in pregnancy, which is associated with enhanced blood coagulation and high thrombotic risk. To date, the mechanisms underlying such an association are not fully understood. Previous studies reported high levels of plasma deoxyribonucleic acid (DNA) in PE women, but the cellular source of the circulation DNA remains unknown. In this study, we tested the hypothesis that activated neutrophils undergoing cell death, also called NETosis, may be responsible for the elevated plasma DNA levels in PE women. We analysed plasma samples from non-pregnant, normal pregnant and PE women and found high levels of double-stranded DNA, myeloperoxidase (an abundant neutrophil granular enzyme) and histones (the major nucleosome proteins) in PE-derived samples, indicating increased NETosis in the maternal circulation. The high plasma DNA levels positively correlated with enhanced blood coagulation in PE women. When isolated neutrophils from normal individuals were incubated with PE-derived plasma, an elevated NETosis-stimulating activity was detected. Further experiments showed that endothelial micro-particles, but not soluble proteins, in the plasma were primarily responsible for the NETosis-stimulating activity in PE women. These results indicate that circulating micro-particles from damaged maternal endothelium are a potent stimulator for neutrophil activation and NETosis in PE women. Given the pro-coagulant and pro-thrombotic nature of granular and nuclear contents from neutrophils, enhanced systemic NETosis may represent an important mechanism underlying the hyper-coagulability and increased thrombotic risk in PE.
Adverse Effects of Treatment with Valproic Acid during the Neonatal Period
Authors: Benevent J. , Montastruc J. L. , Touati G. , Hachon LeCamus C. , Baudou E.
Published: November 2018

Introduction Valproic acid (VPA) is rarely used in neonatal period. In children under 2 years old, serious adverse effects are appear to be more frequent.

Aim The aim of our study is to report the adverse effects observed in a population of full-term newborns treated with VPA.

Method Full-term newborns, hospitalized at the Toulouse CHU, who presented with neonatal seizures and who received long-term treatment with VPA between 2004 and 2014 were included.

Results For 5 of the 123 newborns treated with VPA, treatment had to be discontinued due to adverse effects. Three patients presented with disturbances in consciousness within 48 hours of treatment initiation, one case with a moderate overdose and two with hyperammoniemia (157 and 327 μmol/L) without any drug overdose or underlying liver or metabolic disease (VPA-induced hyperammonemic encephalopathy). Two patients presented with secondary hematological alterations. No patient presented with liver toxicity or exacerbation of an underlying metabolic disease.

Conclusion While the serious adverse effects of VPA noted were all reversible with the discontinuation of the treatment, the occurrence of encephalopathies with hyperammoniemia is a serious complication that is potentially lethal and calls for close clinical monitoring of newborns treated with valproate. We provide precautions for the implementation and follow-up of VPA in newborns.