A review of research on optical true time delay technology by An Ting, Liu Limin, Han Chunhui, Zhu Sai, Jiang Yunfeng

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ABOUT HUMANISTIC NATURE OF CULTURAL HERITAGE AND CHALLENGES OF CONTEMPORARY TIME by Vladimir I. Ionesov

“…This article tries to show humanistic nature of heritage, its place and role in changing world in context of challenges of contemporary time. Author does attempt to show how the heritage to influence on cultural process and social changes in turbulent time, but also why world heritage is imperative of survival, intercultural reconciliation and sustainable development of humanity. …”
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Robust CNN for facial emotion recognition and real-time GUI by Imad Ali, Faisal Ghaffar

“…The real-time application further demonstrates the system's practicality and potential for various real-world applications involving facial emotion analysis.…”
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Strategic Analysis of Retrial Queues with Setup Times, Breakdown and Repairs by Ruiling Tian, Xinyu Wu, Liuqing He, Yunna Han

“…This paper considers a repairable M/M/1 retrial queueing model with setup times. Once the system is empty, the server will be closed down to reduce operating costs. …”
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The Myth of Don Juan Onstage up to and through Victorian Times by Rocío G. Sumillera

“…The last third of the seventeenth century witnessed the introduction of the theme of Don Juan in England in grand style thanks to Thomas Shadwell’s The Libertine, a play that was produced for the first time at Dorset Garden in June 1675 and published the following year. …”
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Effects of Mobilization Time on Occurrence of New Fractures after Vertebroplasty by Ahmet Onur Akpolat, Sinan Karaca

“…We aim to evaluate whether or not postoperative mobilization time has effect on occurrence of new fractures. Materials and Methods. …”
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Dynamic Traffic Network Model and Time-Dependent Braess’ Paradox by Chunxue Zhao

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Diffusion-based time synchronization protocol for wireless sensor networks by SUN De-yun, SHEN Jie, LIU Hai-tao

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Preface to “A discrete-time interpretation of the Planck-Einstein equation” by Vladimir Gontar

“…The article titled “A discrete-time interpretation of the Planck-Einstein equation” by A. …”
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Cognitive Beliefs and Future Time Perspectives: Predictors of Mortality and Longevity by Prem S. Fry, Dominique L. Debats

“…Consistent with our hypotheses, findings demonstrated that a significantly higher percentage of survivors were individuals who showed higher scores on beliefs in a just world and on both the future time perspective and the future self-continuity perspective at the time of baseline assessments. …”
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Examination of Generalized Statistical Convergence of Order α on Time Scales by Muhammed Çinar, Mahmut Işik

“…In this paper, we introduce the concepts of deferred statistical convergence of order α and strongly deferred Cesàro summable functions (real valued) of order α on time scales and give some relationships between deferred statistical convergence of order α and strongly deferred Cesàro summable functions (real valued) of order α on time scales.…”
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Deterministic Epidemic Models for Ebola Infection with Time-Dependent Controls by Eric Okyere, Johnson De-Graft Ankamah, Anthony Kodzo Hunkpe, Dorcas Mensah

“…We considered optimal control analysis of SIR and SEIR models for the deadly Ebola infection using vaccination, treatment, and educational campaign as time-dependent control functions. We have applied indirect methods to study existing deterministic optimal control epidemic models for Ebola virus disease. …”
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Optimal Paths on Urban Networks Using Travelling Times Prevision by Alfredo Cutolo, Carmine De Nicola, Rosanna Manzo, Luigi Rarità

“…We deal with an algorithm that, once origin and destination are fixed, individuates the route that permits to reach the destination in the shortest time, respecting an assigned maximal travel time, and with risks measure below a given threshold. …”
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Power‐jitter trade‐off analysis in digital‐to‐time converters by A. Santiccioli, C. Samori, A.L. Lacaita, S. Levantino

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Time series data aggregation algorithm with synchronous prediction for WBAN by Ru-yan WANG, Mei-ling ZHAI, Da-peng WU

“…Due to the nonlinearity and nonstationarity of the physiological data sensed by WBAN,data aggregation cannot be effectively achieved according to the time-domain trend of data.Therefore,a novel time series data aggregation algorithm with synchronous prediction was proposed.By preprocessing the original sensing data with the multi-resolution analysis,the inherent characteristics of the physiological data can be obtained to establish a light-weight synchronous prediction model at both the sensor and sink.Numerical results show that the proposed aggregation algorithm can achieve a favorable prediction precision and a low energy consumption rate by eliminating the in-network data redundancy.…”
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Adaptive Control for Nonlinear Systems with Time-Varying Control Gain by Alejandro Rincon, Fabiola Angulo

“…We propose a scheme for nonlinear plants with time-varying control gain and time-varying plant coefficients, on the basis of a plant model consisting of a Brunovsky-type model with polynomials as approximators. …”
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Pastoral care and counselling in current times: Relevance and context of care by Glenda A. Dames, Gordon E. Dames

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Real-Time Adaptive Content-Based Synchronization of Multimedia Streams by Imad H. Elhajj, Nadine Bou Dargham, Ning Xi, Yunyi Jia

“…As a solution, this paper proposes an adaptive content-based synchronization scheme that synchronizes multimedia streams by accounting for content in addition to time. This approach to synchronization is based on the fact that having two streams sampled close in time does not always imply that these streams are close in content. …”
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Microfabricated sensors for non-invasive, real-time monitoring of organoids by Yoojeong Kim, Erick C. Chica-Carrillo, Hyunjoo J. Lee

“…To fully harness the potential of organoids, real-time monitoring of biological states and functional evaluation of organoids are crucial. …”
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Real-time DDoS attack detection based on deep learning by Chuanhuang LI, Zhengjun SUN, Xiaoyong YUAN, Xiaolin LI, Liang GONG, Weiming WANG

“…Distributed denial of service (DDoS) is a special form of denial of service (DoS) attack based on denial of service(DoS).It is a distributed,collaborative large-scale network attack.A DDoS detection method based on deep learning was presented.The method included two stages:feature processing and model detection:feature extraction,format conversion and dimension reconstruction of the input data packet was performed in feature processing stage;in the model detection stage,the processed features were input to the depth learning network model to detect whether the input data packets was DDoS attack packet.The model was trained by the ISCX2012 dataset,and the model was validated by real-time DDoS attack.The experimental results show that DDoS attack detection method based on deep learning has high detection precision,little dependency on hardware and software equipment,and the model of depth learning network is easy to update.…”
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