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  1. 1161

    Length of Polarization-Correlation Based on Speckle Pattern for Optical Coherent Detection by Longkun Zhang, Jianfeng Sun, Qian Xu, Weibiao Chen

    Published 2024-01-01
    “…A gradually expanding window centered at the brightest spot of the speckle pattern, is designed to calculate the degree of polarization (DOP) of different speckle sizes. …”
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  2. 1162

    Sentiment Analysis Twitter Bahasa Indonesia Berbasis WORD2VEC Menggunakan Deep Convolutional Neural Network by Hans Juwiantho, Esther Irawati Setiawan, Joan Santoso, Mauridhi Hery Purnomo

    Published 2020-02-01
    “…Metode deep learning dengan algoritme Deep Convolutional Neural Network ditawarkan untuk menjawab permasalahan tersebut dengan melakukan operasi convolution menggunakan filter sebesar ukuran window untuk mendapatkan fitur berdasarkan urutan kata. …”
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  3. 1163

    Lifetime quality of life and cost consequences of delays in endovascular treatment for acute ischaemic stroke: a cost-effectiveness analysis from a Singapore healthcare perspective by Mayank Goyal, Weiyi Ni, Deidre Anne De Silva, Yu Li Ng, Kelvin Tan, Wolfgang G Kunz

    Published 2020-09-01
    “…This study determined the impact of EVT treatment delay on cost effectiveness of EVT in the Singapore healthcare setting.Design A short-term decision tree and long-term Markov health state transition model was constructed. For each time window of symptom onset to EVT, the probability of receiving EVT or non-EVT treatment was varied, thereby varying clinical outcomes (modified Rankin Scale scores), short-term costs and long-term modelled (lifetime) costs; all of which were used in calculating an incremental cost-effectiveness ratio of EVT vs non-EVT treatment. …”
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  4. 1164

    Development of the Nonstationary Incremental Analysis Update Algorithm for Sequential Data Assimilation System by Yoo-Geun Ham, Hyo-Jong Song, Jaehee Jung, Gyu-Ho Lim

    Published 2016-01-01
    “…The solution of the NIAU is superior to that of the forward IAU, of which analysis is performed at the beginning of the time window for adding the IAU forcing, in terms of the accuracy of the analysis field. …”
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  5. 1165

    The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns by Zuochao Zhang, Yongjie Zhang, Dehua Shen, Wei Zhang

    Published 2018-01-01
    “…The empirical results show that (1) there exist power-law cross-correlations between two types of news as well as between news and its corresponding SSE 50 Index return; (2) the cross-correlations between mass media news and SSE 50 Index returns show larger multifractality and more complicated structures; (3) mass media news and new media news have both complementary and competitive relationships; (4) with the rolling window analysis, we further find that there is a general increasing trend for the cross-correlations between the two types of news as well as the cross-correlations between news and returns and this trend becomes more persistent over time.…”
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  6. 1166

    Regulation of energy balance by leptin as an adiposity signal and modulator of the reward system by Roshanak Asgari, Maria Caceres-Valdiviezo, Sally Wu, Laurie Hamel, Bailey E. Humber, Sri Mahavir Agarwal, Paul J. Fletcher, Stephanie Fulton, Margaret K. Hahn, Sandra Pereira

    Published 2025-01-01
    “…Leptin's therapeutic potential for most forms of obesity is hampered by leptin resistance and a narrow dose–response window. Scope of Review: This review describes the current knowledge of the brain regions and intracellular pathways through which leptin promotes negative energy balance and restrains neural circuits affecting food reward. …”
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  7. 1167

    3D limit analysis of masonry pavilion domes on octagonal drum subjected to vertical loads by Carlalberto Anselmi, Filomena Galizia, Eduardo Saetta

    Published 2020-01-01
    “…The program that implement the modeling is sufficiently versatile and, in addition to the mechanical characteristics, allows to define the intrados profile, the thickness variability, as well as to insert any window opening in the drum, the lantern at the top and the hoops at each level. …”
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  8. 1168

    l0 Sparsity for Image Denoising with Local and Global Priors by Xiaoni Gao, Mei Yu, Jianrong Wang, Jianguo Wei

    Published 2015-01-01
    “…The local prior depends on the neighborhood relationships of a search window to help maintain edges and smoothness. The global prior is generated from a hierarchical l0 sparse representation to help eliminate the redundant information and preserve the global consistency. …”
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  9. 1169

    Artificial Intelligence‐Enhanced Metamaterial Bragg Multilayers for Radiative Cooling by David Osuna Ruiz, Maite Aznarez‐Sanado, Pilar Herrera‐Plaza, Miguel Beruete

    Published 2025-02-01
    “…The original structure is made of SiO2/Si nanometer‐thick layers that make a Bragg mirror for wavelengths in the solar irradiance window (0.3–4 μm). The structures are then optimized in terms of the calculated net cooling power and characterized via the reflected and absorbed incident light as a function of their structural parameters. …”
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  10. 1170

    Distributed Congestion Mitigation and Medium Access in Duty Cycling Wireless Sensor Networks by Hao Liu, Ye Liu

    Published 2014-08-01
    “…With above observations, we propose a queue length based contention window adjustment approach, which allows congested nodes having high priority to access the channel. …”
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  11. 1171

    Modeling MAC Protocol Based on Frame Slotted Aloha for Low Energy Critical Infrastructure Sensor Networks by Niamat Ullah, Kifayat Ullah, S. M. Riazul Islam, Pervaiz Khan, Sana Ullah, Kyung Sup Kwak

    Published 2015-06-01
    “…As the packet drop probability plays crucial role in LECIM applications, we propose framed slotted aloha based MAC for LECIM using linearly increased contention window size to reduce the packet drop probability. …”
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  12. 1172

    Water plays by Aliaa El-Dardiry, Ahmed Ali Ahmed ElKhateeb, Ahmed El Antably

    Published 2024-08-01
    “…It used to have an underground cistern, filled yearly with pure water from the Nile River, and provided water to passersby from its water dispensary room's window. The authors employed acoustic surveys to collect the impulse responses (IRs) in this sabīl toward developing an auralization using Odeon software. …”
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  13. 1173

    Tunable optical nonreciprocity in double-cavity optomechanical system with nonreciprocal coupling by Mian Mao, Hongmei Jiang, Cui Kong, Jibing Liu

    Published 2025-01-01
    “…The transmission spectrum of the probe field is presented in detail and the physical mechanism of the induced transparency window is analyzed. It is found that the nonreciprocal response of the probe field transmission appears at two different coupling strengths between two cavities, which breaks the spatial symmetry to lead to optical nonreciprocal transmission. …”
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  14. 1174

    FDA-MIMO Beampattern Synthesis with an Analytical Method by Changlin Zhou, Chunyang Wang, Jian Gong, Ming Tan, Yingjian Zhao, Mingjie Liu

    Published 2021-01-01
    “…Then, a method of using the window function was proposed to reduce the high side lobes of the range dimension. …”
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  15. 1175

    The Value of Desmethylclozapine and Serum CRP in Clozapine Toxicity: A Case Report by Khalid Abou Farha, Andre van Vliet, Henderikus Knegtering, Richard Bruggeman

    Published 2012-01-01
    “…An increased plasma clozapine level above the therapeutic window may be associated with serious adverse events including paralytic ileus. …”
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  16. 1176

    Coupled Optimization of UAV Cluster Path Optimization and Task Assignment on a Mobile Platform by Gaohua Fu, Yexin Song, Yanjie Wu

    Published 2024-12-01
    “…Combining the takeoff and landing time-window constraints with the range and mission resource constraints, this mission planning model is established with the objective of maximizing the efficiency ratio of mission revenue–UAV damage consumption. …”
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  17. 1177

    Multi-dimensional time series anomaly detection method based on VAE-WGAN by Xueyuan DUAN, Yu FU, Kun WANG

    Published 2022-03-01
    “…As the deficiency of learning ability of traditional semi-supervised depth anomaly detection model to unbalanced multidimensional data distribution and the difficulty of model training, a multi-dimensional time series anomaly detection method based on VAE-WGAN architecture was proposed.VAE was used as a generator of WGAN.The Wasserstein distance was used as a measure between the model fitting distribution and the real distribution of the data to be measured, complex and high-dimensional data distributions could be learned.A sliding window was applied to divide the time series, the normal sequence data were used to train the model.According to the abnormal score of the waiting test sequence in the trained model, the anomaly was judged with adaptive threshold technology.The experimental results show that the model is easy to train and stable, and has obvious improvement over the existing generative anomaly detection model in accuracy, recall rate, F1 score and other anomaly detection performance indicators.…”
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  18. 1178

    A Consensus Community-Based Spider Wasp Optimization for Dynamic Community Detection by Lin Yu, Xin Zhao, Ming Lv, Jie Zhang

    Published 2025-01-01
    “…By maintaining certain inter-population consensus community during the evolutionary process, the population in the current time window can evolve in a similar direction to those in the previous time step. …”
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  19. 1179

    The Production of Neutral N∗(11052) Resonance with Hidden Beauty from π-p Scattering by Chen Cheng, Xiao-Yun Wang

    Published 2017-01-01
    “…The numerical results indicate that the center of mass energy W≃11–11.1 GeV would be the best energy window for searching the N∗(11052) resonance, where the N∗(11052) signal can be easily distinguished from the background. …”
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  20. 1180

    Multiple symbol soft-output non-coherent detection of serial concatenated CPM by You-fu YANG, Jian-wei LIU, Qi-shan ZHANG, Chun-di XIU

    Published 2012-08-01
    “…A non-coherent detection algorithm for CPM was proposed.Several sequential symbols were used as the observation window to calculate the prior probability for codeword in CPM soft demodulation process,and the more observation symbols were used,the better performance the algorithm achieved.Non-coherent receiver architecture was given,in which expansion method of Walsh basis function was utilized to reduce the calculating amount in matched filtering.Non-coherent detection performances of convolutional encoding CPM system adopting the proposed algorithm,with different CPM modulation parameters,were compared through simulation.The results indicate that proposed non-coherent detection algorithm brings significant robustness.As to 2CPM,4CPM serial concatenated encoding modulation,when the observation length gets to 4 symbols,system with the proposed algorithm gets nearly 6dB performance improvement than with the single-symbol non-coherent detection algorithm.…”
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