bluuebunny/crossref_metadata_2025_split huggingface dataset:
Update endokrine Orbitopathie
Authors: Eckstein Anja , Oeverhaus Michael , Stöhr Mareile , Dekowski Dirk , Berchner-Pfannschmidt Utta , Esser Joachim , Möller Lars , Führer-Sakel Dagmar 
Published: April 2020

ZusammenfassungDie endokrine Orbitopathie ist eine Autoimmunerkrankung, die am häufigsten zusammen mit einer Schilddrüsenüberfunktion vom Typ Basedow auftritt. Die Patienten weisen spezifisch TSH-Rezeptor-Autoantikörper auf. Diese stimulieren die Schilddrüse und führen zu einer von der Hypophyse nicht mehr kontrollierten Schilddrüsenüberfunktion. Die TSH-Rezeptor-Autoantikörper und vornehmlich infiltrierende T-Zellen und Makrophagen verursachen krankhafte Veränderungen der Orbitafibroblasten mit dem Endresultat einer Fettvermehrung in der Orbita, Entzündungsreaktion und Fibrose. Die Folge sind Lidretraktion, Augenbewegungsstörung, Exophthalmus und eine mehr oder weniger ausgeprägte entzündliche Weichteilsymptomatik. Die chronische Entzündungsreaktion verläuft in drei Phasen: aktive Phase, Plateauphase und inaktive Phase. In der aktiven Phase kann man mit einer antientzündlichen Therapie (i. v. Steroide und Orbitaspitzenbestrahlung – bei ausbleibenden Erfolg Kombination mit einer immunmodulatorischen Therapie) die endokrine Orbitopathie bessern. Eine Vollheilung ist jedoch mit den aktuell verfügbaren Therapieoptionen selten. Dies ändert sich möglicherweise in der Zukunft, wenn neue zielgerichtete Therapien zum Einsatz kommen, die aktuell in Studien getestet werden. Meist müssen bleibende Defekte chirurgisch in folgender Reihenfolge korrigiert werden: 1. Orbitadekompression, 2. Augenmuskelchirurgie und 3. Lidchirurgie. Eine schlechte Kontrolle der Schilddrüsenfunktion, Nikotinkonsum und hohe TSH-Rezeptor-Autoantikörper-Spiegel sind die stärksten Risikofaktoren für einen schweren Verlauf der Erkrankung. Seltenere Formen wie die endokrine Orbitopathie ohne begleitende Schilddrüsenerkrankung und die endokrine Orbitopathie assoziiert mit einer Autoimmunthyreoiditis vom Typ Hashimoto verlaufen meist mild und häufig asymmetrisch.
Severe COVID-19 during Pregnancy and Possible Vertical Transmission
Authors: Alzamora Maria Claudia , Paredes Tania , Caceres David , Webb Camille M. , Valdez Luis M. , La Rosa Mauricio 
Published: April 2020

There are few cases of pregnant women with novel corona virus 2019 (COVID-19) in the literature, most of them with a mild illness course. There is limited evidence about in utero infection and early positive neonatal testing. A 41-year-old G3P2 with a history of previous cesarean deliveries and diabetes mellitus presented with a 4-day history of malaise, low-grade fever, and progressive shortness of breath. A nasopharyngeal swab was positive for COVID-19, COVID-19 serology was negative. The patient developed respiratory failure requiring mechanical ventilation on day 5 of disease onset. The patient underwent a cesarean delivery, and neonatal isolation was implemented immediately after birth, without delayed cord clamping or skin-to-skin contact. The neonatal nasopharyngeal swab, 16 hours after delivery, was positive for severe acute respiratory syndrome–coronavirus 2 (SARS-CoV-2) real-time polymerase chain reaction (RT-PCR), and immunoglobulin (Ig)-M and IgG for SARS-CoV-2 were negative. Maternal IgM and IgG were positive on postpartum day 4 (day 9 after symptom onset). We report a severe presentation of COVID-19 during pregnancy. To our knowledge, this is the earliest reported positive PCR in the neonate, raising the concern for vertical transmission. We suggest pregnant women should be considered as a high-risk group and minimize exposures for these reasons.
Key Points
Development of aspect markers in Arandic languages, with notes on associated motion
Authors: Koch Harold 
Published: April 2020

AbstractLanguages of the Arandic subgroup of Pama-Nyungan languages of Australia have developed markers of aspect from a variety of sources, including verb phrases with stance auxiliaries and reduplicated forms. Other origins involve nominalised verb forms and the refunctionalisation of tense suffixes. Some unusual diachronic developments have to do with interactions between aspectual markers and those of the highly developed verbal category of associated motion. There are shifts in both directions – from aspectual to associated motion values as well as extension of associated motion to aspectual meanings. All the posited diachronic changes are inferred by means of reconstruction, since there is virtually no corpus of documents from which changes in real time can be traced.
Kisikongo (Bantu, H16a) present-future isomorphism
Authors: Dom Sebastian , de Schryver Gilles-Maurice , Bostoen Koen 
Published: April 2020

AbstractThe North-Angolan Bantu language Kisikongo has a present tense (Ø-R-ang-a;R = root) that is morphologically more marked than the future tense (Ø-R-a). We reconstruct how this typologically uncommon tense-marking feature came about by drawing on both historical and comparative evidence. Our diachronic corpus covers four centuries that can be subdivided in three periods, viz. (1) mid-17th, (2) late-19th/early-20th, and (3) late-20th/​early-21st centuries. The comparative data stem from several present-day languages of the “Kikongo Language Cluster.” We show that mid-17th century Kisikongo had three distinct constructions:Ø-R-a(with present progressive, habitual and generic meaning),Ø-R-ang-a(with present habitual meaning), andku-R-a(with future meaning). By the end of the 19th century the last construction is no longer attested, and both present and future time reference are expressed by a segmentally identical construction, namelyØ-R-a. We argue that two seemingly independent but possibly interacting diachronic evolutions conspired towards such present-future isomorphism: (1) the semantic extension of an original present-tense construction from present to future leading to polysemy, and (2) the loss of the future prefixku-, as part of a broader phenomenon of prefix reduction, inducing homonymy. To resolve the ambiguity, theØ-R-ang-aconstruction evolved into the main present-tense construction.
A short circuit fault diagnosis method for DC voltage converter based on neural network
Authors: Xu Zhichao , Song Chao , Liu Junxia 
Published: April 2020

Abstract
Aiming at the problem of complicated data calculation and slow data iteration in the diagnosis process of the tra ditional wavelet packet decomposition method for DC voltage converter short circuit fault diagnosis, a short circuit fault diagnosis method based on neural network is proposed. After determinin g which phase has a short circuit, the MMC method is used to locate the specific short circu it fault position. The basic structure of the neural network is determined according to the needs of short circuit fault diagnosis of the converter, and the training sample set is used to train the neural network and determine its parameters. Combined with fault location and fault characteristics, the short circu it fault diagnosis of the converter is completed by using neural network. By comparing with the short circu it fault diagnosis method based on wavelet packet decomposition, it is proved that the proposed short circuit fault diagnosis method based on neural network can complete several iterations in a short time and realize the high efficiency of fault diagnosis.
Deceptive Jamming Recognition Based on Wavelet Entropy And RBF Neural Network
Authors: Peng Rongshuo , Dong Pengshu , Meng Cangzhen 
Published: April 2020

Abstract
The development of digital radio frequency memory has made the technology of deceptive jamming get a qualitative leap. The real-time and immersiveness are greatly improved, which makes it difficult to manually judge the type of deceptive jamming. Aiming at the problem of automatic identification of deceptive jamming, a method based on wavelet entropy for deceptive jamming is studied. Firstly, three mathematical models of deceptive jamming patterns are combed, then wavelet analysis is performed on the signal and wavelet entropy is extracted, and then sent to the radial basis function (RBF) neural network for automatic classification. The simulation results show that the proposed method has a high recognition rate for deceptive jamming patterns, which relatively less affected by the Jamming-to-Noise Ratio (JNR), and has a faster calculation velocity and better real-time performance.
The effect of region-based message selective delivery strategy on post-disaster emergency network
Authors: Xiong Xuanrui , Liu Min , Zhang Yuan , Zhang Nong , Chen Gaosheng , Fu Mingkai , Cheng Zhanwei 
Published: April 2020

Abstract
Stricken areas are shut off from the world, as large-scale infrastructures (e.g. bridges, roads and power equipments) have been destroyed after earthquakes, floods, and other disasters. Large-scale and cross-regional communication in the disaster area is difficult to achieve due to the harsh communication environment, such as unstable communication links and limited network resources, especially for remote isolated areas. Delay tolerant networks (DTNs) use the way of a “store-carry-forward” to transfer messages, which is suitable for the large transmission delay and intermittent link communication. In this paper, the DTNs based on regional center node and Unmanned Aerial Vehicle (UAV) is proposed to build the post-disaster emergency communication network. Further, a region-based message selective delivery routing policy is proposed for the emergency communication network. The received messages are classified according to its destination address at the regional center node and the UAV ferry node. In this way, the data packets can be accurately delivered to the corresponding area, and redundant data packets will be reduced in the network. The effect of the routing policy on network performance is evaluated. Simulation results show that the policy can effectively improve the data delivery rate, reduce the overhead ratio and significantly reduce the transmission delay.
Based on netease train ticket booking system design and implementation
Authors: Cheng Yunli 
Published: April 2020

Abstract
With the continuous development of mobile Internet technology, the use of the traditional Internet has been unable to meet the needs of people to buy train tickets online, people more hope to be able to buy train tickets anytime and anywhere through mobile phones and other terminals.Currently, the train ticket purchase software in the market does not provide the ticket snatching function of the mobile client. Based on Freemarker and Spring Model View Controller (Model View Controller), this project designed and developed its own server-side framework to improve development efficiency and enhance system security.By extending the Spring framework, the mature application of Aspect Orient Programming (Aspect orientation Programming) and annotation technology in the industry is widely used to reduce the coupling between modules, improve the development efficiency and reduce the maintenance cost.Through the extensive use of load balancing technology and the independently developed load balancing module, a stable and efficient cluster system is established in the background, which also significantly improves the user access speed. Through the independently developed monitoring platform, a large number of background servers are monitored. By widely using Squid, Mencache and other caching technologies and page static technology, the pressure of accessing the background database and file system is greatly reduced, and the speed of user data reading is significantly improved.At present, the project has been put on line. During the period when the system was put on line, the user growth was stable, the number of ticket users continued to increase, and the user experience was constantly enhanced.
The Status Quo and Effects of Undergraduate Students’ Cybersecurity Judgment: A study in China
Authors: Chongrui Liu , Zhiqiang Wang , Cong Wang , Yan Liu , Hongjie Wang 
Published: April 2020

Abstract
Internet users’ cybersecurity psychology and cognition play an important role in their cybersecurity behavior. Taking 347 Chinese undergraduate students for example, this study assessed internet users’ cybersecurity judgment and its effect on cybersecurity behavior in the Eastern countries. Results showed that the average percentage correct of cybersecurity judgment was 63.62%, cybersecurity judgment had positive impact on cybersecurity behavior. Furthermore, gender had a moderating effect on the relationship between cybersecurity judgment and cybersecurity behavior, compared with female, cybersecurity judgment had more positive influence on male’ cybersecurity behavior.
Application Research of Electronic Information Technology in Communication
Authors: Feng RuiZhi 
Published: April 2020

Abstract
In some actual communication command operations, it is found that communication signals are more susceptible to interference. Interference includes both internal and external factors. The interference causes the communication information to be not transmitted to the terminal device in time, and the communication work cannot be completed. Today, with the rapid development of electronic technology, the combination of electronic information technology and communication engineering can not only lay a technical foundation for command work, but also greatly improve the signal transmission speed and quality of communication command. This topic will analyze the impact of electronic information technology on communication command work, and explore how to effectively use electronic information technology for communication command work.
Integral Attack on Reduced-Round BORON Based on Bit-Based Division Property
Authors: Li Yanjun , Liang Meng , Lin Hao , Wang Shubei 
Published: April 2020

Abstract
BORON is a 64-bit block cipher with 80 and 128-bit key length proposed by Bansod et al (Frontiers of Information Technology & Electronic Engineering). Integral attack is one of the typical cryptographic analysis methods of block cipher. In this paper, we establish a MILP (mixed integer linear programming) model of BORON based on bit-based division. We get a 6-round integral distinguisher, which is the longest integral distinguisher of BORON. Based on 6-round distinguisher, we can attack 7-round BORON with time complex 254.19 and data complex 254, 8-round BORON with time complex 258.34 and data complex 256.32, and 9-round BORON with time complex 294.06 and data complex 257.90. This is the first security assessment of BORON in integral nature.
Design of Intelligent Safety Monitoring System for Power Supply Bureau Based on ZigBee Technology and Information Fusion
Authors: Zhu Jianbao , Fu Jing , Sun Yuwei , Shi Ye , Deng Weichao , Chen Yu 
Published: April 2020

Abstract
Safe operation of the power supply bureau is very important. A design scheme of intelligent security monitoring system for power supply bureau based on ZigBee technology and information fusion is proposed. Through the ZigBee wireless communication technology, the wireless self-organizing network service is provided for the security operation of the power supply bureau, and the various sensor nodes of the system are connected with the coordinated control node, and a feasible system reliability design solution is proposed in combination with the actual application environment.
Design and Implementation of Traffic Incident Acquisition and Reporting Device Based on LTE Communication
Authors: Guangjin He , Guang Yang , Yubao Cai , Chaofeng Ma 
Published: April 2020

Abstract
With the development of Internet of Things (IOT) technology, V2X vehicle-road collaboration platform is rapidly applied to intelligent traffic control and road condition service. However, the existing platforms have the problems of inaccurate collection and release of traffic incidents, which can not solve the situation of a large number of secondary accidents and traffic congestion. To meet this demand, a road traffic incident collection and reporting device based on LTE communication is designed. As a roadside intelligent device of LTE-V2X vehicle infrastructure cooperative platform, it realizes the real-time and fast collection and reporting of traffic incidents, and sends them out in real time through V2X internet of vehicle service platform to help drivers adjust their driving routes and avoid congestion points. To help the traffic management department locate the incident quickly and deal with it effectively, so as to eliminate the negative impact of the incident on traffic operation in the shortest time, and further improve the road operation safety and smoothness index and operation efficiency.
Network pharmacology-based prediction of potential targets of ethnic medicine Blumea balsamifera (L.) DC acting on anti-infammatory effect
Authors: Kong Juan , Huang Xulong , Yang Xiaosong , Zhang Lingling , He Xiaomei , Liu Qin , Wu Hongmei , Wang Xiangpei 
Published: April 2020

Abstract

Blumea balsamifera (L.) DC is an ethnic medicine with a significant anti-inflammatory effect. At present, there were many reports on the anti-inflammatory efficacy of B. balsamifera, but the mechanism of its is rarely reported. Therefore, the method of network pharmacology has been adopted in this paper to predict the molecular mechanism of the anti-inflammatory effect of B. balsamifera. The active chemical constituents of B. balsamifera were screened by reference to the literature, TCMSP and TCMID. A target data set of active chemical components was established by traditional chinese medicine target, TCMSP and BATMAN-TCM database. The target of the active ingredients were introduced into the HIT and TTD to establish a potential target data set of the B. balsamifera active ingredients. A OMIM was used to screen for inflammation-related genes and protein targets to establish an inflammatory target dataset. The complex network map of “active ingredient-target-disease” was constructed using Cytoscape3.6.1 software. A PPI analysis database was used to construct a protein interaction network of B. balsamifera component targets and inflammatory targets. GO functional and KEGG pathway enrichment analysis were performed by the biological information annotation database. As a result, 12 active chemical components in B. balsamifera were screened. The corresponding target of 724 active compounds were retrieved. There are 33 signaling pathways and 28 biological processes that were directly or indirectly related to the anti-inflammatory effects of B. balsamifera. Through enrichment analysis, the main signaling pathways of B. balsamifera include TNF signaling pathway, Hepatitis B, Toll-like receptor signaling pathway, NF-kappa B signaling pathway, etc. Finally, Network pharmacology provides new ideas and methods for the study of the anti-inflammatory mechanism of B. balsamifera.
Analysis of Research Parameters for Cascading Failures of Interdependent Network Based on the Giant Component
Authors: Wang Chao , Guo Jilian , Shen Anwei 
Published: April 2020

Abstract
With the deepening of the research on complex network, the cascading failures problem of the interdependent network is one of the hot research issues in the field. Setting reasonable parameters in the cascading failures analysis of interdependent network is of great significance for subsequent research. The mechanism of common models generation is analyzed, and its formula expression form is constructed. Starting from the single network cascading failures pattern, combined with the interdependent network theory research, a cascading failures model of interdependent network based on the giant component is established. The robustness analysis of interdependent networks with different network scale and different average degree is carried out for three common interdependent networks: BA-BA, WS-WS and ER-ER. The best condition for the robustness study of the interdependent network is obtained. That is, the sub-network node scale NS
= NC
≥ 100 and the average degree k = 6. The conclusions obtained in this paper can provide a reference for the study of cascading failures in power, communication and other interdependent networks.
Research on the Application of Double Conditional General Advantage Nets (DCGAN) to generate Simple Background Image with Specified Hue
Authors: Yang Shuai , Bai Haicheng 
Published: April 2020

Abstract
Since the General Advanced Nets (GAN) proposed by Ian Goodfellow in 2014, the research on GAN has become a hot spot of deep learning. People can use GAN to generate images, but there are many problems in GAN, such as the inability to generate images of specified categories, poor model stability, and high training difficulty. Wasserstein GAN improves the disadvantages of the original GAN. Meanwhile, Conditional General Advanced Nets proposes to add condition vectors on the basis of the original GAN, so that the GAN can generate specified pictures, making the original GAN more and more easy to use. Most of the research work of GAN focuses on the real face and real scene generation, but the generation of the commonly used background image in the design is less. In this paper, we use two conditional GAN (DCGAN) and WGAN model framework to generate a simple background image of specified hue and random graphics, which can provide designers with fast and available background images in some simple projects.
Analysis of Researchers’ Internal Working Network
Authors: Qin Ying , Zhang Qing , Zheng CuiFang , Tian ZhiYu , Wen Yong , Chu XinKun , Zhang Hao , Zhou YingPing , Zhang Hao 
Published: April 2020

Abstract
In this paper, we adopt social network analysis technology to construct the working network of the scientific research personnel, working in the isolated network environment of a military research institute, based on the integrated edge data obtained by processing three groups of work records including emails, meetings and travels, and then we complete the calculations of indicators including Degree centrality, Closeness centrality, Betweenness centrality and Eigenvector centrality. Finally, we evaluate the performance of scientific research personnel, explore the working relationship between them, and find out who is working abnormally, which provides a new method for staff appraisal.
CoolStreaming and Gossip Algorithm in P2P Service Networks
Authors: Feng Weiqi , Liu Lei 
Published: April 2020

Abstract
In recent years, peer-to-peer (P2P) as a new network application model has become more and more popular for its scalability, high fault tolerance and other outstanding advantages. The main feature of P2P technology is to ensure the network resources distributed on terminal computers, including computing resources, bandwidth resources, content resources, etc., are fully utilized to reduce the consumption of central server resources. This paper analyzes the performance differences of nodes in P2P networks from many aspects, such as available bandwidth, online time and storage space. Based on this mechanism and with the idea of mission algorithm, the data distribution efficiency of this algorithm is significantly improved compared with the classical mission algorithm, which can ensure the minimal network load and achieve the efficiency of flood data distribution strategy.
Optimizing Hash Strategy to Avoid Birthday Attack
Authors: Zhao Yiou 
Published: April 2020

Abstract
It is necessary to optimize hash codes to prevent birthday attacks. First of all, it is necessary to know what hash codes are, what birthday attacks are, and how to attack them. In this article, there are two ways to avoid birthday attacks: enlarge hash space andselection of magic number. After the implementation of different code and different magic number selection, the most stable and secure one will be chosen.