bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gingival Changes in Wistar Rats after Oral Treatment with 4-Nitroquinoline 1-Oxide
Authors: Ribeiro Daniel Araki , Salvadori Daisy Maria Fávero 
Published: November 2019

ABSTRACTObjectives:4-nitroquinoline 1-oxide (4NQO)-induced rat tongue carcinogenesis is a useful model for studying oral squamous cell carcinoma. However, gingival changes following 4NQO administration via drinking water are absent in the literature. The aim of this study was to investigate gingival changes concomitant to tongue carcinogenesis induced by 4NQO by means of morphological analysis.Methods:Male Wistar rats were distributed into 3 groups of 10 animals each and treated with 50 ppm 4NQO solution by drinking water for 4, 12 or 20 weeks. Thirty animals were used as negative control.Results: Regarding tongue mucosa, the primary histopathological change i.e., hyperplasia and dysplasia was evidenced after 12 weeks treatment with 4NQO. At 20 weeks, squamous cell carcinoma was found in the majority of animals. Gingival squamous hyperplasia was induced by 4NQO after 20-weeks of treatment. Dysplastic changes appeared in some animals (two cases) as well.Conclusions:Taken together, our results support the notion that 4NQO is more effective in rat tongue mucosa than gingival tissue. Probably, this discrepancy depends strongly on route of administration and the susceptibility with respect to animals species. Certainly, such data will contribute when using this experimental test-system for understanding oral cancer pathogenesis. (Eur J Dent 2007;1:152-157)
Patients as Agents in Behavioral Health Research and Service Provision: Recommendations to Support the Learning Health System
Authors: Galvin Hannah K. , Petersen Carolyn , Subbian Vignesh , Solomonides Anthony 
Published: November 2019

AbstractAuthentic inclusion and engagement of behavioral health patients in their care delivery and in the process of scientific discovery are often challenged in the health care system. Consequently, there is a growing need to engage with and better serve the needs of behavioral health patients, particularly by leveraging health information technologies. In this work, we present rationale and strategies for improving patient engagement in this population in research and clinical care. First, we describe the potential for creating meaningful patient–investigator partnerships in behavioral health research to allow for cocreation of knowledge with patients. Second, in the context of behavioral health services, we explore the utility of sharing clinical notes to promote patients' agency in care delivery. Both lines of inquiry are centered in a Learning Health System model for behavioral health, where patients are agents in enhancing the therapeutic alliance and advancing the process of knowledge generation. Recommendations include genuinely democratizing the health care system and biomedical research enterprise through patient-centered information technologies such as patient portals. In research and technology development, we recommend seeking and tailoring behavioral health patients' involvement to their abilities, promoting patient input in data analysis plans, evaluating research and informatics initiatives for patients and clinicians, and sharing success and research findings with patients. In clinical practice, we recommend encouraging patients to read behavioral health notes on portals, engaging in proactive communication regarding note content, assessing outcomes including stress and anxiety in response to note content, and working with technology providers to support note-sharing governance and deployment.
Instagram narratives in Trump’s America
Authors: Dobkiewicz Patryk 
Published: November 2019

Abstract
This study investigates the ideological composition of Donald Trump’s 2016 presidential campaign on Instagram, a
popular but little researched platform, and attempts to situate it within his broader campaign. To account for the multimodality
of Instagram posts, an analytical framework combining methods of the discourse-historical approach and visual grammar is proposed.
330 posts were subjected to a semantic analysis, resulting in a network of discourse topics which defined the Instagram campaign.
Trump’s Instagram posts, in contrast to his tweets, are shown to be mostly positive, refraining from nativist attacks on
minorities and limiting personal attacks on Hillary Clinton. Trump methodically constructed the positive, populist ‘Man of the
People’ image, although in-depth analysis of selected posts reveals his populism to be only superficially inclusive. These
findings prompt a reflection on the existence of an internal cordon sanitaire in social media campaigns, a
possibly detrimental phenomenon for right-wing populists.
Cryptotanshinone attenuates allergic airway inflammation through negative regulation of NF-κB and p38 MAPK
Authors: Li Junfeng , Zheng Mingyu , Wang Chongyang , Jiang Jingzhi , Xu Chang , Li Li , Li Liangchang , Yan Guanghai , Jin Yongde 
Published: November 2019

ABSTRACTThis study is to determine the role and mechanism of cryptotanshinone (CTS) in allergic airway inflammation. Asthma induced by OVA was established in BALB/c mice. We found increased airway hyperresponsiveness (AHR), increased inflammatory cell infiltration, elevated levels of TNF-α, interleukin-1β (IL-1β), IL-4, IL-5, IL-6 and IL-13, decreased interferon gamma (IFN-γ) in lung tissue, increased content of total immunoglobulin E (IgE), OVA specific IgE, Eotaxin, ICAM-1, VCAM-1, nuclear factor-kappaB (NF-κB) and phosphorylation of p38 MAPK in lung tissue. However, the administration of CTS significantly decreased AHR in asthmatic mice, reduced inflammation around the bronchioles and inflammatory cells around airway, regulated cytokine production, reduced the total IgE and OVA-specific IgE levels, and inhibited NF-κB activation and p38 MAPK phosphorylation. In vitro experiments in 16 HBE cells revealed that CTS attenuated CAM-1 and IL-6 expression. These results indicate that CTS alleviates allergic airway inflammation by modulating p38 MAPK phosphorylation and NF-κB activation.
Time-resolved optical emission spectroscopy of a unipolar and a bipolar pulsed magnetron sputtering discharge in an argon/oxygen gas mixture with a cobalt target
Authors: Hippler R , Cada M , Stranak V , Hubicka Z 
Published: November 2019

Abstract
Reactive high power impulse magnetron sputtering (HiPIMS) of a cobalt cathode in pure argon gas and with different oxygen admixtures was investigated by time-resolved optical emission spectroscopy (OES) and time-integrated energy-resolved mass spectrometry. The HiPIMS discharge was operated with a bipolar pulsed power supply capable of providing a large negative voltage with a typical pulse width of 100 μs followed by a long positive pulse with a pulse width of about 350 μs. The HiPIMS plasma in pure argon is dominated by Co+ ions. With the addition of oxygen, O+ ions become the second most prominent positive ion species. OES reveals the presence of Ar I, Co I, O I, and Ar II emission lines. The transition from an Ar+ to a Co+ ion sputtering discharge is inferred from time-resolved OES. The enhanced intensity of excited Ar+* ions is explained by simultaneous excitation and ionisation induced by energetic secondary electrons from the cathode. The intensity of violet Ar I lines is drastically reduced during HiPIMS. Intensity of near-infrared Ar I lines resumes during the positive pulse indicating an additional heating mechanism.
Study on Low-Voltage Distribution Fault Isolation Technology Under Big Data Analysis
Authors: Wei Ren 
Published: November 2019

Abstract
In order to effectively solve the problem of low voltage power distribution fault, large data analysis technology of low-voltage distribution fault isolation technology research, first of all, combined with clustering analysis method for common type of low voltage power distribution fault judgment, and for different fault types characteristics of power distribution fault isolation algorithm, the parameters evaluated targeted fault maintenance, thus effectively completed in low-voltage distribution under the condition of big data analysis research of fault isolation technology. Finally, the experimental results show that this technique is more practical than the traditional fault isolation technique.
Research on High Frequency Signal Transmission Method of Transmission Line under Internet of Things Communication Environment
Authors: Shaokang Zhao , Tao Zheng , Chenglong Liu , Xin Lu , Ying He 
Published: November 2019

Abstract
In order to better promote the safety and stability of transmission line signal transmission, a research on transmission line high frequency signal transmission method based on Internet of Things communication environment is proposed. Firstly, the noise interference in the transmission line signal transmission process is removed by combining the wavelet transform algorithm, and the original high-frequency signal is subjected to waveform constraint processing after denoising, so as to realize the safe transmission of the high-frequency signal of the electric line. Finally, the experiment proves that the transmission line high-frequency signal transmission method under the Internet of Things communication environment has higher safety and stability than the traditional method, which fully meets the research requirements.
A Novel Square Root Algorithm and its FPGA Simulation
Authors: Zhou Zhongcheng , Hu Jingchun 
Published: November 2019

Abstract
As a basic operation in elementary mathematics, square root operation is widely used in numerical calculation and digital signal processing. The square root operation is a nonlinear operation and cannot be solved directly on FPGA. Many previous square root algorithms have been proposed. This paper introduces several previous square root algorithms, then presents a novel square root algorithm which uses 16-bit integer input and 16-bit integer output. Using the idea of normalization, the square number is mapped to the range of 0-1, and the square root is approximated by the sum of numerical sequence. We discuss the proposed square root algorithm, error analysis. The proposed algorithm was programmed by the Verilog in Xilinx’s Vivado 17.2 software environment, and the simulation was verified on the Virtex-7 series chip. Compared with other square root algorithms, the algorithm only uses shifter, adders and sub-tractor. It does not involve complex operations, consumes less resources, and it’s suitable for implementation on FPGA.
Research on Crew On-board Electronic Classroom
Authors: Liu Xiaobai , Liang Hong , Zhang Xingxing 
Published: November 2019

Abstract
A concept of on-board electronic classroom of surface warship was proposed based on the foreign Navy experience in this paper. The main function and system composition of the classroom was planned, which aimed at teaching on-board, educational administration management, remote support and simulation training, including on-borad part and shore auxiliary system. And taking IETM as the information carrier form of the classroom was also put forward in this paper. At the same time, a case design of on-board electronic classroom of Chinese Navy surface warship has been carried out, including system configuration suggestion, using scheme and cabin layout proposal. And that provided a new idea for improving the crew on-borad training level of Chinese Navy warships.
GNSS SDR Signal Generator Implementation Based on USRP N210
Authors: Hu Yaqi 
Published: November 2019

Abstract
With the rapid spread of transport systems, testing the performance of GPS signal receivers in transport systems has become a significant research topic, which requires a variety of specific GPS signals for testing. The paper focuses on the implementation of a Global Navigation Satellite System (GNSS) software-defined radio (SDR) signal generator, which is based on the USRP N210 hardware device and supporting code. Through this GNSS signal simulator, two functions are realized: first, for different signal test requirements, different GNSS signal data definition files are generated by software-defined GPS signal simulator; second, the signal data files can load to the radio front end (USRP N210) which can generate physical signals at the correct frequency. Also, the simulation tests reflect the signals created by this GNSS SDR signal generator can stably maintain on different satellite channels.
The research on Power Supply Array Intelligent Management Technology for Spacecraft Thermal Test
Authors: ZeYuan Liu , Yao Feng , Lin Zhu , JiaBin Liu , Jing Wen 
Published: November 2019

Abstract
The thermal test of spacecraft has a large demand for the program-controlled power supply, which was configured as array. In this paper, the intelligent management technology of program-controlled power supply is researched. Base on the analysis of the history fault type of power supply, the fault detection technology of power supply is studied. Then, combined with the technology of power supply redundancy switching, an on-line switching device is designed. Through the verification experimental, the experimental results show that the system can quickly realize the detection and positioning of the fault power supply, and can finish the online switching of the fault power supply to the backup power within the second-level time. The research of intelligent management technology enhances the management efficiency of the large scale power supply array, and improves the operational reliability of the spacecraft thermal test.
Coordinated control strategy of DC microgrid for hydrogen production load
Authors: Guo Yingjun , Deng Fanyi , Shi Zhe , Sun Hexu 
Published: November 2019

Abstract
In order to solve the problem of wind abandonment and light abandonment in DC microgrid, adding hydrogen production equipment in DC microgrid can effectively alleviate this problem. In the DC microgrid for hydrogen production load, a hierarchical control strategy of DC bus voltage is proposed based on the consideration of charging state, aiming at the fluctuation of DC bus voltage. The operation of the system is divided into seven modes, each of which adopts different control strategies. Finally, a model is built on the PSCAD/EMTDC simulation software and the experimental platform of new energy generation. The simulation and experimental results verify the effectiveness and feasibility of the proposed control strategy.
Application of residual self-fitting ensemble neural network based on LSTM in short-term power load forecasting
Authors: Zhang Baowen , Lao Dejia , Sun Longxiang 
Published: November 2019

Abstract
Accurate load forecasting helps to improve the safety and stability of power systems. LSTM neural networks based on deep learning has lower predicted error than traditional machine learning and time series models. After calculating the residuals of the predicted values and observed values of the LSTM and traditional machine learning model, it can be found that the distribution of residuals also possessed with the regularity of time series data. Therefore, the residual time series can be fitted by another model based on this regularity. To avoid the limitations of a single model, a variety of neural network models have been used to compose ensemble model. In this model, the residual can be generated and fitted by itself. In other words, it implements self-fitting. After analysing the residual distribution and the ensemble method of predictive model, this paper presents a new ensemble neural network model used for short-term power load forecasting. After the experiment, it’s obvious that the predicted results of the new ensemble neural networks is more accurate than single LSTM.
Stability Analysis and Experimental Study of Portable Missile Control Device Test
Authors: Wang Zhuo , Wu Shen-Peng , Wang Tao , Zhang Bo 
Published: November 2019

Abstract
According to the stability requirement of the missile launcher in operating the portable missile launching control device, a structure is designed. Firstly, the structural mechanics theory method is used to analyse the deflection of the outrigger. The force bending of the sector plate is analysed and the bending displacement of the rigid frame after the column is simplified is analysed. Then the main structure of the portable missile launching device is given and the stability of the outrigger, base and column system is analysed and simulated by ANSYS and ADAMS simulation software respectively. Finally, the stability of the equipment was tested to verify the calculation and analysis of the stability of the device. The feasibility and rationality of the design of the portable missile launching device was confirmed.
Research on Harmonic Detection System Based on Wavelet Packet Transform
Authors: Yang Can , Ban Lan 
Published: November 2019

Abstract
This paper introduces the basic concepts of harmonics in power system, and expounds the basic principles of harmonic detection algorithms such as Fourier transform, short wavelet transform and wavelet packet transform. The effectiveness of the proposed algorithm is verified by simulation, which shows that the improved wavelet packet algorithm can achieve the uniform division of the harmonic signal frequency band, and improve the detection accuracy of the harmonic signal. Wavelet packet transform could detect the fundamental and harmonic components of the original signal, which is most suitable for the detection of harmonic signals.
Parameters Sensitivity Analysis of Lithium Batteries Composite Equivalent Model for SOC Estimation
Authors: Duan Cai Zhi , Yun Xu Jing , Yue Sun Xiao , Di Quan Li 
Published: November 2019

Abstract
For the lithium battery electrochemical composite equivalent model, the sensitivity of model parameters to the battery state of charge (SOC) estimation is analysed in order to determine the influence of model parameters on SOC estimation and provide optimization basis for SOC estimation algorithm based on battery model. Firstly, the sensitivity analysis method of model parameters is defined, and the sensitivity of model parameters to SOC estimation of lithium ion batteries is quantitatively analysed based on MATLAB software. Then, based on MATLAB /Simulink, the extended Kalman filter algorithm is used to simulate the SOC estimation under variable model parameters and analyse the influence of parameter changes on the SOC value. The experimental results show the correctness and validity of the quantitative analysis results of parameter sensitivity, and provide the corresponding basis for the research of SOC estimation algorithm of lithium-ion battery variable parameter model.
Research on the Directionality of Difference Frequency Sound Field Based on Circular Ultrasonic Array
Authors: Zhao Qing , Zheng Wei , Li Jialing 
Published: November 2019

Abstract
In a closed environment of underground space, noise pollution is serious, and sound waves are required to have strong directionality, providing people with a relatively independent and quiet working space. In order to obtain a high directivity sound source, a method combining difference frequency sound field with the circular array of transducers is proposed. Firstly, the advantage and disadvantage of the sound field generated by difference frequency mode and the sound field radiated by direct vibration in conventional mode are demonstrated. Secondly, based on the principle of sound field radiation, the directivity function of differential frequency sound field of circular piston transducer with multi-circumference arrays is derived. Finally, the influence parameters of directivity of differential frequency sound field are determined by three-dimensional and two-dimensional directivity diagrams, which can provide reference for the design of acoustic directional transducer array.
Intelligent Grounding Current Monitoring System for Iron Core of Power Transforme
Authors: Wei Wang , Qingsong Luo , Zhen Tang 
Published: November 2019

Abstract
In the process of stable operation of power transformer, one-point grounding of iron core should be ensured. When two or more points of grounding occur, it will cause transformer operation failure, even burning iron core, affecting the safe operation of the power grid. At present, the monitoring of transformer grounding point mostly adopts the current transformer monitoring mode, only after uploading the detection data to the server, the comparison prompts that manual intervention is needed in the later stage, which increases the processing time and increases the risk of power grid problems. From the point of view of intelligent monitoring, this paper designs an intelligent transformer core grounding monitoring system. When the fault of multi-point grounding is detected, the resistance value of current limiting resistance is calculated immediately according to the magnitude of current, and the series resistance is introduced to limit the current of grounding circuit. At the same time, the fault alarm is given, indicating that manual intervention greatly reduces the occurrence of transformer faults. The processing time reduces the probability of deterioration in case of failure and improves the stability of transformer operation.
A brief analysis of the power cable planning and design of the utility tunnel
Authors: Yao Yan , Wang Jian , Xu Jiayu , Hu Yulong , Ren Jiaorong , Pei Chuanxun , Wang Wei , Xiao Kaichao 
Published: November 2019

Abstract
The urban utility tunnel plays an important role in improving the utilization efficiency of urban underground space. With the vigorous promotion of the construction of urban utility tunnel, the scale of power cable into urban utility tunnel is also increasing rapidly. There are some problems in the planning and design process of utility tunnel, such as the lack of technical specifications or the inconsistency of existing standards and norms. Thus, some detailed design requirements of the overall design, section design and ancillary system design of the power pipeline are proposed in this paper, especially the details of the power cables entering into the utility tunnel are discussed in detail, providing a reference for other engineering. It would be helpful for the electric power cables entering into the utility tunnel in the future.
Experiments Design on Contrastive Measuring of Assignment between Signal and Variable in FPGA
Authors: Zhou Huanyin , Hu Jiewei , Xie Yanhui , Huang Weiqi , Yang Zhongping , Lu Zhanzhan 
Published: November 2019

Abstract
Signal and variable are two kinds of important data objects in FPGA. They are widely used in FPGA digital system design. It is pointed out that their assignments are different in many textbooks. A variable can be assigned immediately but a signal can not. The difference of assignment is hard to understand because signal and variable have some similarities and they are abstract. In this paper, some experiments of gate circuit ring vibrator are designed ingeniously to study the difference of assignment between signal and variable in FPGA. The assignment of the two data objects is contrastively measured, and the measurement principle is analyzed. According to the experiments, the assignment difference is demonstrated clearly.