A survey on deep learning based joint source-channel coding by Tianjie MU, Xiaohui CHEN, Yiyun WANG, Lupeng MA, Dong LIU, Jing ZHOU, Wenyi ZHANG

“…Classical information theory shows that separate source-channel coding is asymptotically optimal over a point-to-point channel.As modern communication systems are becoming more sensitive to delays and bandwidth,it becomes difficult to adopt the assumption that such separate designs have unlimited computing power for encoding and decoding.Compared to joint source-channel coding,separate coding has proven to be sub-optimal when the bandwidth is limited.However,conventional joint source-channel coding schemes require complicated design.In contrast,data-driven deep learning brings new designing ideas into the paradigm.A summary of relevant research results was provided,which will help to clarify the way in which deep learning methods solve the joint source-channel coding problem and to provide an overviewof new research directions.Source compression schemes and end-to-end communication system models were firstly introduced,both based on deep learning,then two kinds of joint coding designs under different types of source,and potential problems of joint source-channel coding based on deep learning and possible future research directions were introduced.…”
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Robust Consensus Tracking Control for Multi-Unmanned-Aerial-Vehicle (UAV) System Subjected to Measurement Noise and External Disturbance by Zhiyuan Zheng, Shiji Tong, Erquan Wang, Yang Zhu, Jinliang Shao

“…In the local tracking controller design, we reveal that classic uncertainty and disturbance estimator (UDE)-based control can magnify the noise. …”
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Test Verification of Two-Stage Adaptive Delay Compensation Method for Real-Time Hybrid Simulation by Zhen Wang, Xueqi Yan, Xizhan Ning, Bin Wu

“…For this method, the main part of the system delay is coarsely compensated by the classic polynomial extrapolation (PE) method; the second stage represents a fine remedy for the remaining delay with adaptive compensation based on a discrete model of the loading system. …”
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Rapidly Progressing Refractory Hodgkin Lymphoma: A Case Report and a Possible Explanation by Ádám Jóna, Gábor Irsai, Sándor Barna, Gábor Méhes, Árpád Illés, László Váróczy

“…The authors present an unusually rapidly progressing case of refractory advanced stage classical nodular sclerosis subtype Hodgkin lymphoma with unfavorable prognosis. …”
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Analysis of Toll-Like Receptors in Human Milk: Detection of Membrane-Bound and Soluble Forms by Chiara Cattaneo, Alice Caramaschi, Elena Uga, Michela Braghin, Gianluca Cosi, Chiara Peila, Maria C. Strozzi, Miriam Sabatini, Diego Gazzolo, Marcello Manfredi, Maria Cavaletto

“…Here, we investigated the presence of Toll-like receptors TLR1/2/4/6 in colostrum and mature milk of women who delivered before (preterm) or after (term) 37 weeks of gestational age, integrating classical immune-related techniques with proteomic LC-MS/MS analysis. …”
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A Semiempirical Method to Estimate Actual Evapotranspiration in Mediterranean Environments by Marta Chiesi, Piero Battista, Luca Fibbi, Lorenzo Gardin, Maurizio Pieri, Bernardo Rapi, Maurizio Romani, Fabio Maselli

“…Actual evapotranspiration (ETA) is a major term of site water balance whose knowledge is essential for numerous purposes. The classical ETA estimation approach based on the use of multitemporal crop coefficients (Kc) cannot be applied in water-limited environments without proper correction. …”
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Triple-negative breast cancer modifies the systemic immune landscape and alters neutrophil functionality by Noor A. M. Bakker, Hannah Garner, Ewald van Dyk, Elisa Champanhet, Chris Klaver, Maxime Duijst, Leonie Voorwerk, Iris Nederlof, Rosie Voorthuis, Marte C. Liefaard, Marja Nieuwland, Iris de Rink, Onno B. Bleijerveld, Hendrika M. Oosterkamp, Lodewyk F. A. Wessels, Marleen Kok, Karin E. de Visser

“…Chemotherapy-naïve mTNBC patients showed increased classical monocytes and neutrophils. Transcriptional, proteomic, and functional analyses revealed that neutrophils in mTNBC exhibited enhanced migratory capacity, elevated granule proteins, and higher ROS production. …”
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Activity-based routing algorithm in opportunistic mobile social networks by Sheng Zhang, Houzhong Liu, Caisen Chen, Zhaojun Shi, William Wei Song

“…The simulation results show that the proposed routing algorithm can not only improve the successful delivery ratio of messages but also reduce the network delay and the network overhead obviously, in comparison with the classical opportunistic routing algorithms, such as community-aware message opportunistic transmission algorithm, community-based message transmission scheme algorithm, PRoPHET, Epidemic algorithm, and interest characteristic probability prediction algorithm.…”
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Research on Power Producer’s Bidding Behavior Based on the Best-Response Dynamic Model by Jingqi Sun, Xiaochun Zhang, Sen Guo

“…Best-response dynamic is one of the classic dynamic mechanisms of the evolutionary game theory, which applies well in the repeated game and strategy evolution that happen among a few bounded rational players with a quick learning capability. …”
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Interleukin-6 “Trans-Signaling” and Ischemic Vascular Disease: The Important Role of Soluble gp130 by Mario Luca Morieri, Angelina Passaro, Giovanni Zuliani

“…At the same time, IL-6 pathway is divided into two arms: classic signaling (effective in hepatocytes and leukocytes) and trans-signaling (with ubiquitous activity). …”
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A General Fourier Formulation for In-Plane and Out-of-Plane Vibration Analysis of Curved Beams by Rui Nie, Tianyun Li, Xiang Zhu, Huihui Zhou

“…In various situations including classical boundary conditions, the accuracy and efficiency of the method in this paper are proved by comparing with the calculation results of FEM. …”
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Preservative-free therapy for glaucoma after corneal refractive surgery by A.A. Antonov, I.V. Kozlova, T.S. Mitichkina, I.I. Vedmedenko

“…In these patients, glaucoma is a specific condition because of low significance of classical screening and diagnostic tools. IOP-lowering treatment should not affect ocular surface but provide a stable IOP level. …”
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Prediksi Kesiapan Sekolah Menggunakan Machine Learning Berbasis Kombinasi Adam dan Nesterov Momentum by Indah Mustika Rahayu, Ahmad Yusuf, Mujib Ridwan

“…The results showed that the combination of Adam and Nesterov Momentum performed better than classical Adam in predicting school readiness with 96% accuracy and 0.06 loss in 1.98 seconds on 10 neurons and 1000 epochs. …”
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A numerical approach for multi-dimensional ψ-Hilfer fractional nonlinear Galilei invariant advection–diffusion equations by M.H. Heydari, M. Razzaghi, M. Bayram

“…By applying the ψ-Hilfer fractional derivative operational matrix of the ψ-Chebyshev CFs, the classical derivatives operational matrices of the shifted CPs, and employing the collocation method, the solution of the equation under consideration is obtained by solving a system whose elements are algebraic equations. …”
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Prediction of Dynamic Stability Using Mapped Chebyshev Pseudospectral Method by Jae-Young Choi, Dong Kyun Im, Jangho Park, Seongim Choi

“…A mapped Chebyshev pseudospectral method is extended to solve three-dimensional unsteady flow problems. As the classical Chebyshev spectral approach can lead to numerical instabilities due to ill conditioning of the spectral matrix, the Chebyshev points are evenly redistributed over the domain by an inverse sine mapping function. …”
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Sphere Theorems for <i>σ_k</i>-Einstein Manifolds by Jingyang Zhong, Xinran Mu

“…A problem that geometers have always been concerned with is when a closed manifold is isometric to a round sphere. A classical result shows that a closed locally conformally flat Einstein manifold is always isometric to a quotient of a round sphere. …”
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Prediction of Later-Age Concrete Compressive Strength Using Feedforward Neural Network by Thuy-Anh Nguyen, Hai-Bang Ly, Hai-Van Thi Mai, Van Quan Tran

“…The results also indicated that the FNN model was superior to classical machine learning algorithms such as random forest and Gaussian process regression, as well as empirical formulations proposed in the literature.…”
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Different Output Ripples of Speed and Torque and Output Ripple Minimization for External Hydraulic Gear-motors by Li Yulong, Hou Xinyu, Zhang Lihua, Song Anran

“…The tooth profile parameters can be obtained through analytical methods from both, thus correcting the existing classical conclusion that the output speed/torque of gear motors have the same pulsation coefficient.…”
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