Outlier Detection Based on Multivariable Panel Data and K-Means Clustering for Dam Deformation Monitoring Data by Jintao Song, Shengfei Zhang, Fei Tong, Jie Yang, Zhiquan Zeng, Shuai Yuan

“…However, the accuracy of deformation data is the premise of dam safety monitoring analysis, and original deformation data may have some outliers caused by manual errors or instruments aging after long-time running. These abnormal data have a negative impact on the evaluation of dam structural safety. …”
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Rehabilitation of the knee following ACL repair and reconstruction: A review of clinical best practices by Muhammad Daffa Haidar, Rizki Mulyawan, Julian Dewantara, Joanna Michalina Jurek

“…Immediate implementation of open kinetic chain exercises, use of criterion-based progressions for various activities such as running, sprinting, and plyometrics, and implementation of a secondary prevention program. …”
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CHURCH RESPONSE TO SECURITY CHALLENGES IN THE 21ST CENTURY: THE NIGERIAN EXPERIENCE by Oyebode Paul Jegede, Abare Yunuwa Kallah

“…Kidnapping has become a lucrative business in which ransoms running to several billions of naira are being demanded. …”
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Identifikasi Risiko Keselamatan Kerja Dengan Menggunakan Metoda Job Safety Analysis (JSA) Pada Rencana Proyek Perkantoran Terpadu Kota Payakumbuh by Sutria Desman, Ridha Sari, Hanifah Hasnur

“…Office facilities and infrastructure are one of the main components supporting the running of government activities in an area, which aims to provide services to the community. …”
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Performance Analysis of Wind-Induced Piezoelectric Vibration Bimorph Cantilever for Rotating Machinery by Gongbo Zhou, Houlian Wang, Zhencai Zhu, Linghua Huang, Wei Li

“…Harvesting the energy contained in the running environment of rotating machinery would be a good way to supplement energy to the wireless sensor. …”
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Development and Supervision of Robo-Advisors under Digital Financial Inclusion in Complex Systems by Wensheng Dai

“…Except for the growth and income portfolio, other portfolios have consistently outperformed the performance benchmark during the analyzed time period. Running the research system of this paper in a financial institution, comparing the capital budget before and after the operation, found that the system can improve the accuracy of the budget and reduce the risk of the robo-advisor for the financial institution.…”
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Study of Problems Related to Laying Ballastless Track in the Turnout of Ballasted Track at High-Speed Railway Stations by Ma Xue-Ning, Hao Zi-Xiang, Liu Chang, Wang Xu, Wang Bo-Lin

“…The results show that the dynamic response indexes under the two transition modes meet the requirements for the smooth running of trains. Due to the convenience of fastener stiffness transition construction and easier replacement, this measure is recommended.…”
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Mitochondrial Neurogastrointestinal Encephalomyopathy: Novel Pathogenic Mutation in Thymidine Phosphorylase Gene in a Patient from Cape Verde Islands by Catarina Falcão de Campos, Miguel Oliveira Santos, Rafael Roque, Isabel Conceição, Mamede de Carvalho

“…A 19-year-old Cape Verdean patient with a history since childhood of recurrent episodes of nausea, vomiting, diarrhoea and painful abdominal distension associated with progressive motor disability with difficulty in climbing stairs and running and clumsiness with her hands. The diagnostic workup was suggestive of MNGIE. …”
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Optimization Design and Internal Flow Field Study of Open-Design Vortex Pump by Xiongfa Gao, Weidong Shi, Ruijie Zhao, Ting Zhao, Hongfei Wang

“…To determine the influences of the main structural parameters on open-design vortex pump performance, optimize the vortex pump performance, and reduce the running vibration and improve stability, orthogonal testing method was introduced in this paper. …”
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A data-driven state identification method for intelligent control of the joint station export system by Guangli Xu, Yifu Wang, Zhihao Zhou, Yifeng Lu, Liangxue Cai

“…Abstract As a necessary part of intelligent control of a joint station, the automatic identification of abnormal conditions and automatic adjustment of operation schemes need to judge the running state of the system. In this paper, a combination of Particle Swarm Optimization (PSO) and Gray Wolf Optimizer (GWO) is proposed to optimize the Backpropagation Neural Network (BP) model (PSO-GWO-BP) and a pressure drop prediction model for the joint station export system is established using PSO-GWO-BP. …”
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An Improved Physarum polycephalum Algorithm for the Shortest Path Problem by Xiaoge Zhang, Qing Wang, Andrew Adamatzky, Felix T. S. Chan, Sankaran Mahadevan, Yong Deng

“…We found that the improved Physarum algorithm matches well with existing Physarum-inspired approaches yet outperforms them in number of iterations executed and a total running time. We also compare our algorithm with other existing algorithms, including the ant colony optimization algorithm and Dijkstra algorithm.…”
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High-Performance 3D Compressive Sensing MRI Reconstruction Using Many-Core Architectures by Daehyun Kim, Joshua Trzasko, Mikhail Smelyanskiy, Clifton Haider, Pradeep Dubey, Armando Manduca

“…We demonstrate that a CUDA-based code running on an NVIDIA Tesla C2050 GPU can reconstruct a 256 × 160 × 80 volume from an 8-channel acquisition in 19 seconds, which is in itself a significant improvement over the state of the art. …”
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Fuzzy Multicriteria Decision-Making Model for Time-Cost-Risk Trade-Off Optimization in Construction Projects by M. Ammar Alzarrad, Gary P. Moynihan, Muhammad T. Hatamleh, Siyuan Song

“…The presented FMCDM model could help produce a more reliable schedule and mitigate the risk of projects running overbudget or behind schedule. Further, this model is a powerful decision-making instrument to help managers reduce uncertainties and improve the accuracy of time-cost-risk trade-offs. …”
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PERCEPTION AND SATISFACTION AMONG OPEN AND DISTANCE LEARNING STUDENTS IN UNIVERSITI TEKNOLOGI MALAYSIA by Christnalter Bunsu, Noor Dayana Abd Halim

“… In Universiti Teknologi Malaysia (UTM), the Open and Distance Learning (ODL) programme has been around quite recently and many things need to be discovered to improve it. The programme is running well and was already offered before the pandemic outbreak. …”
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Wind and Wave Disturbances Compensation to Floating Offshore Wind Turbine Using Improved Individual Pitch Control Based on Fuzzy Control Strategy by Feng Yang, Qing-wang Song, Lei Wang, Shan Zuo, Sheng-shan Li

“…The new individual pitch controller is tested on the NREL offshore 5 MW wind turbine mounted on a barge with a spread-mooring system, running in FAST, operating above-rated condition. …”
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Hydrogen sulfide removal from biogas using chemical absorption technique in packed column reactors by M.B. Kulkarni, P.M. Ghanegaonkar

“…Several techniques available for removal of hydrogen sulfide from biogas are out of the reach for common end users due to lack of knowledge, higher running costs, and insufficient operational skills. …”
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Exploring short-term memory and listening effort in two-talker conversations: The influence of soft and moderate background noise. by Chinthusa Mohanathasan, Cosima A Ermert, Janina Fels, Torsten W Kuhlen, Sabine J Schlittmeier

“…In Experiments 1 and 2, short-term memory of running speech and listening effort were unaffected by soft-noise listening conditions. …”
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Condition Recognition of High-Speed Train Bogie Based on Multi-View Kernel FCM by Qi Rao, Yan Yang, Yongquan Jiang

“…Multi-channel vibration signals are collected by sensors installed on bogies and beneficial information are extracted to determine the running condition. Based on multi-view clustering and considering different views of complementary information, this study proposes a Multi-view Kernel Fuzzy C-Means (MvKFCM) model for condition recognition of the HST bogie. …”
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A novel Fruit Fly Optimization Algorithm with quasi-affine transformation evolutionary for numerical optimization and application by Ru-Yu Wang, Pei Hu, Chia-Cheng Hu, Jeng-Shyang Pan

“…In order to observe the multi-faceted performance of Quasi-affine Transformation evolutionary for the Fruit fly Optimization Algorithm more intuitively, we also conduct experiments on algorithm convergence analysis, the Friedman test, the Wilcoxon signed-rank test, and running time comparison. Through the above several comparative experiments, Quasi-affine Transformation evolutionary for the Fruit fly Optimization Algorithm has indeed demonstrated its strong competitiveness. …”
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SmartProvenance: User‐friendly provenance system for internet of things applications based on event flow graphs by Byeong‐Mo Chang, Kyung‐Min Lee, Ga‐Young Koh, Kwanghoon Choi

“…Abstract Internet of things (IoT) applications called SmartApps are event‐driven programs running on the SmartThings cloud. To understand the behaviour of SmartApps, users may have questions regarding which execution flows follow particular events or why specific actions occur. …”
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