Aberrant Whole-Brain Resting-State Functional Connectivity Architecture in Obsessive-Compulsive Disorder: An EEG Study by Bo Tan, Jing Yan, Junjun Zhang, Zhenlan Jin, Ling Li

“…Meanwhile, OCD patients had increased global efficiencies and normalized clustering coefficients, but decreased average clustering coefficients and normalized shortest path lengths together with significantly decreased FCs in the alpha band from EC to EO states, which suggested a dynamic switch between highly integrated (EC state) and highly specialized (EO state) modes of information processing. …”
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Research on the Overall Design and Water Entry Simulation of Cross-Media Unmanned Underwater Vehicles by Wenye Li, Wuwei Wu, Quanming Miao, Jiahu Wu

“…Novel cross-media vehicles can operate efficiently in different media where water entry is a critical process. …”
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Statistical Inference and Mathematical Properties of Burr X Logistic-Exponential Distribution with Applications to Engineering Data by Mashail M. AL Sobhi

“…The Burr X logistic-exponential distribution is introduced in this study as a novel logistic-exponential distribution extension that may be utilized to efficiently describe engineering data. There are J-shape, symmetrical, left-skewed, reversed-J shape, and right-skewed densities available, as well as decreasing, rising, bathtub, unimodal, J-shape, and reversed-J shape hazard rates. …”
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Many-Body Quantum Catalysts for Transforming Between Phases of Matter by David T. Stephen, Rahul Nandkishore, Jian-Hao Zhang

“…We also show how the catalyst approach leads to new insights into the structure of certain phases of matter, and to new methods to efficiently prepare SPT phases with long-range interactions or projective measurements.…”
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Internet traffic classification using SVM with flexible feature space by Yaguan QIAN, Xiaohui GUAN, Bensheng YUN, Qiong LOU, Pengfei MA

“…SVM is a typical machine learning algorithm with prefect generalization capacity,which is suitable for the internet traffic classification.At present,there are two approaches,One-Against-All and One-Against-One,proposed for extending SVM to multi-class problem like traffic classification.However,these approaches are both based on a unique feature space.In fact,the separating capacity of a special traffic feature is not similar to different applications.Hence,flexible feature space for extending SVM was proposed,which constructs independent feature space with optimal discriminability for each binary-SVM and trains them under their own feature space.Finally,these trained binary-SVM were ensemble by One-Against-All and One-Against-One approaches.The experiments show that the proposed approach can efficiently improve the precision and callback of the traffic classifier and easily obtain more reasonable optimal separating hyper-plane.…”
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Sensory regulation of meal sorting in Aedes aegypti mosquitoes by Emi Maekawa, Anupama A. Dahanukar

“…Sweet and nutritive sugars, like sucrose and maltose, enter the crop more efficiently compared to non-sweet or non-nutritive sugars. …”
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Data‐driven cooperative adaptive cruise control for unknown nonlinear vehicle platoons by Jianglin Lan

“…The data‐driven control design is formulated as a semidefinite program that can be solved efficiently using off‐the‐shelf solvers. Efficacy of the proposed CACC are demonstrated on a platoon of pure AVs and mixed platoons with different penetration rates of HVs using a representative aggressive driving profile. …”
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A Convergent Legendre Spectral Collocation Method for the Variable-Order Fractional-Functional Optimal Control Problems by Zahra Pirouzeh, Mohammad Hadi Noori Skandari, Kameleh Nassiri Pirbazari

“…In addition, the matrix differentiation is calculated accurately and efficiently, overcoming the difficulties posed by variable-order fractional derivatives. …”
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The Refugee Crisis as a European Democratic Crisis by Chryssoula Kapartziani, Katerini Papathanasiou

“…On the one hand, it needs to manage the current refugee’s influx efficiently and on the other hand it needs to deal with the democratic deficit that emerged by Europe’s incapacity to make the required decisions and gain the justification of its actions from its own people. …”
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Internet traffic classification using SVM with flexible feature space by Yaguan QIAN, Xiaohui GUAN, Bensheng YUN, Qiong LOU, Pengfei MA

“…SVM is a typical machine learning algorithm with prefect generalization capacity,which is suitable for the internet traffic classification.At present,there are two approaches,One-Against-All and One-Against-One,proposed for extending SVM to multi-class problem like traffic classification.However,these approaches are both based on a unique feature space.In fact,the separating capacity of a special traffic feature is not similar to different applications.Hence,flexible feature space for extending SVM was proposed,which constructs independent feature space with optimal discriminability for each binary-SVM and trains them under their own feature space.Finally,these trained binary-SVM were ensemble by One-Against-All and One-Against-One approaches.The experiments show that the proposed approach can efficiently improve the precision and callback of the traffic classifier and easily obtain more reasonable optimal separating hyper-plane.…”
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Creating Values out of Internet of Things: An Industrial Perspective by Partha Pratim Ray

“…It is hereby apprehended that different genre of values, rather business values, could efficiently be assimilated from the Internet of Things cloud platforms. …”
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Dasar Statistika by Leni Masnidar Nasution

“…This paper aims to assist researchers in finding samples so that researchers can work efficiently on the results found in accordance with the object under study, assisting researchers in reading data collected so that they can make the right decision, helping researchers in seeing differences and group relationships on the objects studied , can predict the time to come, and can interpret the data collected. …”
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Fly Photoreceptors Encode Phase Congruency. by Uwe Friederich, Stephen A Billings, Roger C Hardie, Mikko Juusola, Daniel Coca

“…Although we now know that sensory neurons are tuned to efficiently encode natural stimuli, until now it was not clear what statistical features of the stimuli they encode and how. …”
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Entanglement Witness for Indistinguishable Electrons Using Solid-State Spectroscopy by Tongtong Liu, Luogen Xu, Jiarui Liu, Yao Wang

“…Using the material-relevant strongly correlated models as examples, we show how this entanglement witness can efficiently quantify multipartite entanglement across different phase regions, highlighting its advantage over quantum Fisher information.…”
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Contention graph based concurrent scheduling algorithm in millimeter wave WPAN by Yibing WANG, Yong NIU, Weiguang DING, Hao WU

“…The directional antennas and beamforming techniques in millimeter wave (mmWave) bands are used to make concurrent transmission between multiple flows become possible.However,higher mutual interference may be caused by concurrent transmission.Therefore,when the time slots were limited and the number of data flows was large,how to schedule the concurrent flows efficiently was solved by proposed algorithm.The contention graph based spatial-time division multiple access (CB-STDMA) concurrent scheduling algorithm guaranteed the quality of service (QoS) of users,and aimed at maximizing the number of flows with their QoS requirements satisfied.It considered the interference between different flows,and a higher priority was given to the flow with fewer time slots requirement.Extensive simulations demonstrated that the proposed CB-STDMA algorithm increased the number of flows with their QoS requirements satisfied and the network throughput by 50% and 20% respectively compared with the existing algorithms.…”
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Contention graph based concurrent scheduling algorithm in millimeter wave WPAN by Yibing WANG, Yong NIU, Weiguang DING, Hao WU

“…The directional antennas and beamforming techniques in millimeter wave (mmWave) bands are used to make concurrent transmission between multiple flows become possible.However,higher mutual interference may be caused by concurrent transmission.Therefore,when the time slots were limited and the number of data flows was large,how to schedule the concurrent flows efficiently was solved by proposed algorithm.The contention graph based spatial-time division multiple access (CB-STDMA) concurrent scheduling algorithm guaranteed the quality of service (QoS) of users,and aimed at maximizing the number of flows with their QoS requirements satisfied.It considered the interference between different flows,and a higher priority was given to the flow with fewer time slots requirement.Extensive simulations demonstrated that the proposed CB-STDMA algorithm increased the number of flows with their QoS requirements satisfied and the network throughput by 50% and 20% respectively compared with the existing algorithms.…”
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The Design and Construction of an Automatic and Android Controlled Change Over Switch. by Turyasingura Gideon

“…To achieve this, alternative power sources that works efficiently with minimum time delay is required. The automatic change over switch with a remote-control capability effectively solves the problem of uninterrupted power supply. …”
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The Design and Construction of an Automatic and Android Controlled Change Over Switch. by Turyasingura, Gideon

“…To achieve this, alternative power sources that works efficiently with minimum time delay is required. The automatic change over switch with a remote-control capability effectively solves the problem of uninterrupted power supply. …”
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A Robust H.264/AVC Video Watermarking Scheme with Drift Compensation by Xinghao Jiang, Tanfeng Sun, Yue Zhou, Wan Wang, Yun-Qing Shi

“…Malicious attacks with different quantization parameters (QPs) or motion estimation algorithms can be resisted efficiently, with 80% accuracy on average after lossy compression.…”
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An Encoding Technique for Multiobjective Evolutionary Algorithms Applied to Power Distribution System Reconfiguration by J. L. Guardado, F. Rivas-Davalos, J. Torres, S. Maximov, E. Melgoza

“…In this paper, an encoding scheme for evolutionary algorithms is proposed in order to search efficiently for the Pareto-optimal solutions during the reconfiguration of power distribution systems considering multiobjective optimization. …”
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