Who polarises? Who targets? Parties’ educational speech over the long run by Gingrich, J, Giudici, A

Coseismic and postseismic slip of the 2005 Mw8.6 Nias‐Simeulue earthquake : spatial overlap and localized viscoelastic flow by Qiu, Qiang, Feng, Lujia, Hermawan, Iwan, Hill, Emma M.

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Behaviour of reinforced concrete beam-column joint subjected to in-plane loading by Azzalina Zainuddin

“…Apart from an analysis of how the model was derived, the author wrote an algorithm using Excel program in order to run the model based on parameters from a design of an interior beam-column joint. …”
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First joint observation by the underground gravitational-wave detector KAGRA with GEO 600 by Sudhir, Vivishek

“…GEO 600 and KAGRA performed a joint observing run from April 7 to 20, 2020. We present the results of the joint analysis of the GEO–KAGRA data for transient gravitational-wave signals, including the coalescence of neutron-star binaries and generic unmodeled transients. …”
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A simplified weak coupling dynamic analysis method for running safety evaluation of train on bridges under earthquake excitation by Zhu, Zhihui, Gong, Wei, Zhou, Gaoyang, Yang, Yaowen, Jiang, Lizhong

“…The method includes three main steps: (i) performing dynamic analysis of the bridge under seismic conditions to obtain the response of the bridge deck; (ii) interpolating the bridge displacement beneath each wheelset based on the train's velocity, departure time, and the initial positions of the wheelsets; and (iii) assessing the running safety of the train by incorporating the interpolated bridge response as track irregularity into the train-track coupled system. …”
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A rotation-invariant additive vector sequence based star pattern recognition by Mehta, Deval Samirbhai, Chen, Shoushun, Low, Kay-Soon

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A 457 nW Near-Threshold Cognitive Multi-Functional ECG Processor for Long-Term Cardiac Monitoring by Liu, Xin, Zhou, Jun, Yang, Yongkui, Wang, Bo, Lan, Jingjing, Wang, Chao, Luo, Jianwen, Goh, Wang Ling, Kim, Tony Tae-Hyoung, Je, Minkyu

“…A low-power multi-functional electrocardiogram (ECG) signal processor is presented in this paper. To enable long-term monitoring, several architecture-level power saving techniques are proposed, including global cognitive clocking, pseudo-downsampling wavelet transform, adaptive storing, and denoising-based run-length compression. …”
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Web-based GUI for embedded applications by Poeu, Vannarath

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Electron-donating five-membered heterocyclic modulated electronic states boosting visible-light-driven H2O2 production by Gao, Tao, Yang, Chen, Zheng, Yong, Shen, Yi, Wang, Qiao, Wang, Long, Xu, Run, Lv, Minghui, Li, Mingjin, Shi, Zhonglian, Wang, Li, Kong, Xin Ying, Ye, Liqun

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Modeling of outdoor natural ventilation and energy performance for multiple buildings in an industrial park of Singapore by Tang, Soon Tuck

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Skeleton-based online action prediction using scale selection network by Liu, Jun, Shahroudy, Amir, Wang, Gang, Duan, Ling-Yu, Kot, Alex C.

“…An activation sharing scheme is also proposed to handle the overlapping computations among the adjacent time steps, which enables our framework to run more efficiently. Moreover, to enhance the performance of our framework for action prediction with the skeletal input data, a hierarchy of dilated tree convolutions are also designed to learn the multi-level structured semantic representations over the skeleton joints at each frame. …”
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AN AI-based hybrid model for early Alzheimer’s detection using MRI images by Al-Shoukry, Suhad, Zalili, Musa

“…SPECT imaging with PIB is a very accurate means of identifying very early signs of AD that needs to be treated after prevent further deterioration, lessening the patient’s discomfort and saving money for the healthcare industry in the long run. Because the failures of this approach have been widely identified in early stage detection, it can, therefore, be greatly beneficial to lower the social and economic implications of AD. …”
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Vista: Machine Learning based Database Performance Troubleshooting Framework in Amazon RDS by Singh, Vikramank, Song, Zhao, Narayanaswamy, Balakrishnan (Murali), Vaidya, Kapil Eknath, Kraska, Tim

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An omics-based machine learning approach to predict diabetes progression: a RHAPSODY study by Slieker, Roderick C., Münch, Magnus, Donnelly, Louise A., Bouland, Gerard A., Dragan, Iulian, Kuznetsov, Dmitry, Elders, Petra J. M., Rutter, Guy A., Ibberson, Mark, Pearson, Ewan R., Hart, Leen M. 't, van de Wiel, Mark A., Beulens, Joline W. J.

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Threshold estimation models for linear threshold-based influential user mining in social networks by Talukder, Ashis, Tran, Nguyen H., Niyato, Dusit, Park, Gwan Hoon, Hong, Choong Seon, Mohammad Golam Rabiul Alam

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High-speed grinding: from mechanism to machine tool by Wang, Yu-Long, Zhang, Yan-Bin, Cui, Xin, Liang, Xiao-Liang, Li, Run-Ze, Wang, Ruo-Xin, Sharma, Shubham, Liu, Ming-Zheng, Gao, Teng, Zhou, Zong-Ming, Wang, Xiao-Ming, Dambatta, Yusuf S., Li, Chang-He

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Comparing user behavior when targeted based on firm inferred interest vs. user stated interest by Cao, Yiqun(Scientist in business management)Massachusetts Institute of Technology.

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Strategic and operational issues in sustaining community-based dementia support groups: the Get Real with Meeting Centres realist evaluation part 2 by Morton, T, Evans, SB, Swift, R, Bray, J, Frost, F, Russell, C, Brooker, D, Wong, G, Hullah, N

“…<p><strong>Objectives:</strong> Support for people with dementia in their communities is neither robust nor consistent in the UK, often bolstered by third sector/grass-roots initiatives facing formidable challenges in sustaining long-term. The Get Real with Meeting Centres project explored factors involved in sustaining one such form of community-based support. …”

Application of statistical methods and genetic programming in pair trading by Tjoa Justin.

“…The position such that in the long run , profit is optimised. The complex nature of seeking statistical arbitrage or pair tradings need heavy time consuming, quantitative and computational approaches to the trading strategy. …”
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3D content recovery and complexity reduction by Tan, Cheen Hau

“…Our mocap recovery methods target two types of missing data: random missing data, where each joint in a sequence are missing at random, and block missing data, where each joint is missing for long intervals of time. …”
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