Affective polarization in a word: Open-ended and self-coded evaluations of partisan affect. by Spencer Kiesel, Sharif Amlani

“…This measure advances our understating of partisan affect by allowing scholars a window into respondents' state of mind. Scholars can easily apply our measure's procedure beyond partisanship to other groups of interest.…”
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A Frequency Domain Method for the Generation of Partially Coherent Normal Stationary Time Domain Signals by David O. Smallwood, Thomas L. Paez

“…Successive frames of data are then windowed, overlapped, and added to form a vector of normal stationary sampled time histories, {X(t)}, of arbitrary length.…”
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New method of text representation model based on neural network by Shui-fei ZENG, Xiao-yan ZHANG, Xiao-feng DU, Tian-bo LU

“…Method of text representation model was proposed to extract word-embedding from text feature.Firstly,the word-embedding of the dual word-embedding list based on dictionary index and the corresponding part of speech index was created.Then,feature vectors was obtained further from these extracted word-embeddings by using Bi-LSTM recurrent neural network.Finally,the sentence vectors were processed by mean-pooling layer and text categorization was classified by softmax layer.The training effects and extraction performance of the combination model of Bi-LSTM and double word-embedding neural network were verified.The experimental results show that this model not only performs well in dealing with the high-quality text feature vector and the expression sequence,but also significantly outperforms other three kinds of neural networks,which includes LSTM,LSTM+context window and Bi-LSTM.…”
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Autonomous Navigation of Robots Based on the Improved Informed-RRT∗ Algorithm and DWA by Jun Dai, Dongfang Li, Junwei Zhao, Yanqin Li

“…Combined with the dynamic window approach (DWA), the improved algorithm is utilized to simulate the autonomous navigation process of the robot based on the Robot Operating System (ROS) platform. …”
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Robust Scheduling Method of TT＆C Resource in Satellite Network by Xiang JI, Runzi LIU, Chenhong YAO, Jianhao CHEN, Tao MU

“…The continuous growth of satellite network scale brings great challenges to the eff ective scheduling of TT＆amp;C resources.Aff ected by weather and other factors, the performance of the satellite-ground link is of high uncertainty.In order to took into both resource utilization and task reliability, a robust scheduling method of TT＆amp;C resources was proposed.This method could arranged the start time and duration of the transmission window for TT＆amp;C tasks by the predicted the channel state distribution of satelliteground link and the task distribution in the planning period, and optimized the resource allocation scheme by backward iteration to maximized the expected profit of the tasks.The experimental results showed that compared with the traditional non-robust scheduling method, the scheduling method proposed could obtain more task profi t under diff erent channel distributions and achieve the improvement of both resource utilization and task reliability.…”
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Detecting P2P botnet based on the role of flows by Yuan-zhang SONG, Jun-ting HE, Bo ZHANG, Jun-jie WANG, An-bang WANG

“…Towards the weaknesses of the existing detection methods of P2P botnet,a novel real-time detection model based on the role of flows was proposed,which was named as RF.According to the characteristics of flows,the model made the flows play the different roles in the detection of the P2P botnet to detect the essential abnormality and the attacking abnormality.And the model considered the influence on the detection of the P2P botnet which the Web applications generated,especially the applications based on the P2P protocols.To minimize the false positive rate and false negative rate,a real-time method based on the sliding window to estimate the Hurst parameter was proposed,and the Kaufman algorithm was applied to adjust the threshold dynamically.The experiments showed that the model was able to detect the new P2P botnet with a relatively high precision.…”
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Novel Management for Severe Odontogenic Maxillary Sinusitis Based on Pathophysiology by Yoshio Ohyama, Masaru Ogawa, Satoshi Yokoo

“…This study reported a conservative maxillary sinus management, wherein a nasoantral window is prepared and the thickened maxillary sinus mucosa is preserved, using the Caldwell–Luc approach. …”
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Switching current distributions in superconducting nanostrips by Robert Vedin, Jack Lidmar

“…Switching current distributions are commonly measured in experiments and may provide a window into the microscopic switching mechanisms. …”
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Entropy-Based Clutter Rejection for Intrawall Diagnostics by Raffaele Solimene, Antonietta D'Alterio

“…To this end, here we employ a windowing strategy based on entropy measures of temporal traces “similarity.” …”
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A Novel Murine Model for the In Vivo Study of Transdermal Drug Penetration by Gábor Eros, Petra Hartmann, Szilvia Berkó, Eszter Csizmazia, Erzsébet Csányi, Anita Sztojkov-Ivanov, István Németh, Piroska Szabó-Révész, István Zupkó, Lajos Kemény

“…A metal cylinder with phosphate buffer was fixed into the window of the titanium plate. The concentration of penetrated drug was measured in the buffer. …”
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Abnormal Congenital Location of Stapes’ Superstructure: Clinical and Embryological Implications by Vânia Henriques, Rafaela Teles, Ana Sousa, Roberto Estevão, Jorge Rodrigues, Alexandra Gomes, Francisco Silva, Ângelo Fernandes, Fausto Fernandes

“…The surgery revealed an abnormal location of stapes’ superstructure, which was attached to the promontory and had an isolated and mobile osseous footplate in the oval window. A stapes prosthesis was inserted and resulted in closure of the air-bone gap by 25 dB. …”
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M&A Short-Term Performance Based on Elman Neural Network Model: Evidence from 2006 to 2019 in China by Ming Xiao, Xionghui Yang, Ge Li

“…The study shows that M&A can create considerable short-term performance for Chinese listed company shareholders. The CAR in window period reached 14.45% with a downward trend, which is the win-win result achieved through the cooperation between multiple parties and individuals driven by their respective rights and interests in the current macro-microeconomic environment in China.…”
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High-Frequency Synchronization Improves Firing Rate Contrast and Information Transmission Efficiency in E/I Neuronal Networks by Fang Han, Zhijie Wang, Hong Fan, Yaopeng Zhang

“…It is also found that the global firing rate contrast enhancement can prevent the number of spikes of the neurons measured within the limited time window from being confused by noise, thereby enhancing the information encoding efficiency (quantified by entropy theory here) of the neuronal system. …”
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CT Imaging of Craniofacial Fibrous Dysplasia by Zerrin Unal Erzurumlu, Peruze Celenk, Emel Bulut, Yakup Sancar Barıs

“…Panoramic radiography revealed ground-glass ill-defined lesions in the three different regions of the maxilla and mandible. Axial CT scan (bone window) showed multiple lesions involving skull base and facial bones. …”
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Modeling and Simulation Analysis of Journal Impact Factor Dynamics Based on Submission and Citation Rules by Jian Zhou, Lin Feng, Ning Cai, Jie Yang

“…The variation of the journal impact factor is affected by many statistical and sociological factors such as the size of citation window and subject difference. In this work, we develop an impact factor dynamics model based on the parallel system, which can be used to analyze the correlation between the impact factor and certain elements. …”
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Seasonal and Altitude Dependence of Thermospheric Metastable Helium Densities Measured by Fluorescence Lidar by C. Geach, B. Kaifler

“…Recently, the first height‐resolved measurements of He(23S) density were made by fluorescence lidar, opening a new window for studying the upper thermosphere. We report on a series of 51 measurements by this instrument spanning an entire winter season and extending to an altitude of 1,000 km, revealing a broad He(23S) layer that peaks at higher altitudes than previously expected.…”
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A Framework of State Estimation on Laminar Grinding Based on the CT Image–Force Model by Jihao Liu, Guoyan Zheng, Weixin Yan

“…The intra-operative milling force signal is segmented by the tumbling window algorithm. Then, the similarity between the prediction sequences and the segmented milling signal is derived by the dynamic time warping (DTW) algorithm. …”
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Asymptotic solution for turbulent variances: application to convergence of averages and particle dispersion by Gervásio Annes Degrazia, Michel Stefanello, Felipe Denardin Costa, Luís Gustavo Nogueira Martins, Otávio Costa Acevedo

“…The results show that the difference between the temporal and ensemble means is of the order of 5% for an average time window of 1800 s. The present development can be used in a variety of situations involving different types of turbulence.…”
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Numerical Simulation of Oil Pipeline Leakage Diffusion in Dashagou Yellow River Crossing Section by Shaokang Liu, Mingyang Qiu, Guizhang Zhao, Menghan Jia, Jie An, Xi Guo, Dantong Lin, Yangsheng Tian, Jiangtao Zhou

“…The simulation results demonstrate that under identical leakage pressure conditions, diesel fuel leakage in powdery, sandy soil is diminished, the emergency window is extended, and the corresponding leakage risk is reduced. …”
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Adjusting U-Net for the aortic abdominal aneurysm CT segmentation case by R.U. Epifanov, N.A. Nikitin, A.A. Rabtsun, L.N. Kurdyukov, A.A. Karpenko, R.I. Mullyadzhanov

“…The comparison of various inference mode indicate that combination of overlapping inference and segmentation window enlargement ameliorate macro dice up to 1.4%. …”
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