Conceptualizing Human Microbiota: From Multicelled Organ to Ecological Community by Betsy Foxman, Deborah Goldberg, Courtney Murdock, Chuanwu Xi, Janet R. Gilsdorf

“…We discuss the unstated assumptions and implications of current conceptualizations of human microbiota: (1) a single unit that interacts with the host and the external environment; a multicelled organ; (2) an assemblage of multiple taxa, but considered as a single unit in its interactions with the host; (3) an assemblage of multiple taxa, which each interacts with the host and the environment independently; and (4) a dynamic ecological community consisting of multiple taxa each potentially interacting with each other, the host, and the environment. …”
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Symmetric Lipomatosis Arising in the Tongue Presenting as Macroglossia and Articulatory Disorder by Masanori Kudoh, Ken Omura, Arata Satsukawa, Koshi Matsumoto, Takahide Taguchi, Hiroyuki Harada, Yoshimasa Ishii

“…It is characterized by multiple symmetric lipomatous nodules and diffuse bilateral swelling located within the tongue. …”
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Maize Herbivore-Induced Volatiles Enhance Xenobiotic Detoxification in Larvae of <i>Spodoptera frugiperda</i> and <i>S. litura</i> by Peng Wang, Qiyue Zeng, Yi Zhao, Xiaomin Sun, Yongqiang Han, Rensen Zeng, Yuanyuan Song, Dongmei Chen, Yibin Lin

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Hybrid precoding based on distributed partially-connected structure for multiuser massive MIMO by Lei ZHANG, Qin WANG

“…For multiuser massive multiple-input multiple-output (MIMO) systems, to solve the problem of underutilized spatial resources caused by centralized partially-connected structure (PCS) and fixed-matching phase-control algorithm in conventional schemes, a low complexity phased zero-forcing (PZF) hybrid precoding scheme based on distributed PCS was proposed.The logical antenna subarrays with more than the number of radio frequency (RF) chains were designed, so that each RF chain could be connected to multiple distributed subarrays to provide higher spatial diversity gain.Further, by analyzing the influence of phase-control analog precoding on zero-forcing digital precoding, a phase-control analog precoding algorithm via successively maximizing users’ total subarray gains was proposed to maximize the upper bound of system spectral efficiency.Analysis and simulation results show that, compared with the conventional schemes, the proposed scheme can significantly improve the system spectral efficiency while slightly increases the computational complexity, and it is also insensitive to imperfect channel state information.…”
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Adaptive Control for Singularly Perturbed Systems by Kameron Eves, John Valasek

“…Singularly perturbed systems are a class of mathematical systems that are not well approximated by their limits and can be used to model plants with multiple fast and slow states. Multiple-timescale systems are very common in engineering applications, but adaptive control can be sensitive to timescale effects. …”
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Joint channel and impulsive noise estimation method for MIMO-OFDM systems by Xinrong LYU, Youming LI, Qiang GUO

“…Aiming at the impulsive noise occurring in MIMO-OFDM systems， a joint channel and impulsive noise estimation method based on the multiple measurement vector compressed sensing theory was proposed.The channel impulse response and the impulsive noise were combined to form a row sparse matrix to be estimated， and a multiple measurement vector compressed sensing model based on all subcarriers was constructed.As the measurement matrix was partially unknown due to the presence of unknown transmitted symbols in data tones， the multiple response sparse Bayesian learning theory and expectation maximization framework were adopted to jointly estimate the channel impulse response， the impulsive noise， and the data symbols which were regarded as unknown parameters.Compared with the existing methods， the proposed method not only utilizes all subcarriers but also does not use any a priori information of the channel and impulsive noise.The simulation results show that the proposed method achieves significant improvement on the channel estimation and bit error rate performance.…”
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Periodic solutions of nonlinear vibrating beams by J. Berkovits, H. Leinfelder, V. Mustonen

“…The aim of this paper is to prove new existence and multiplicity results for periodic semilinear beam equation with a nonlinear time-independent perturbation in case the period is not prescribed. …”
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Channel-space endogenous anti-jamming method based on multi-reconfigurable intelligent surface by Yonggang ZHU, Yifu SUN, Fuqiang YAO, Cheng LI, Wenlong GUO, Kang AN

“…In view of the concern that the traditional anti-jamming method based on jamming recognition is challenging to defend against both the unknown and the intelligent jamming attacks, a dynamic, heterogeneous, and redundant channel-space anti-jamming technique was proposed by adopting multiple reconfigurable intelligent surface (RIS), which facilitated the exploitation of channels’ resources for combating with the unknown jamming attacks.To elaborate, a channel-space endogenous anti-jamming method was proposed by leveraging the optimization of both the RIS’ coefficients and the multiple RIS’ on-off status.Firstly, after decoupling the tightly coupled variables, the optimal closed-form solutions of transmit precoder, RIS’ coefficients, and receive decoder could be derived under the alternative optimization framework.Then, the greedy algorithm was adopted to optimize the multiple RIS’ on-off status for obtaining better anti-jamming communications, and the convergence and the computation complexity of the proposed method was analyzed.Theoretical analysis and simulation results show that the proposed method can effectively defend against the uncertain jamming attacks.…”
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Discrete multi-objective optimization of particle swarm optimizer algorithm for multi-agents collaborative planning by Xiao-bo SHI, Yin ZHANG, Shan ZHAO, Deng-ming XIAO

“…Although multiple mobile agents(MA)collaboration can quickly and efficiently complete data aggregation in wireless sensor network,the MA carrying data packages extensively increase along with a raise in the number of data source nodes accessed by MA,which causes unbalanced energy load of sensor nodes,high energy consumption of partial source nodes,and shortened lifetime of networks.The existing related works mainly focus on the objective of decreasing total energy consumption of multiple MA,without considering that rapidly energy consumption of partial source nodes has a negative effect on networks lifetime.Therefore,discrete multi-objective optimization of particle swarm algorithm was proposed,which used the total network energy consumption and mobile agent load balancing as fitness function for the approximate optimal itinerary plan in multiple mobile agent collaboration.Furthermore,the simulation result of the proposed algorithm is better than the similar algorithm in total energy consumption and network lifetime.…”
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Root-MUSIC Based Angle Estimation for MIMO Radar with Unknown Mutual Coupling by Jianfeng Li, Xiaofei Zhang, Weiyang Chen

“…Direction of arrival (DOA) estimation problem for multiple-input multiple-output (MIMO) radar with unknown mutual coupling is studied, and an algorithm for the DOA estimation based on root multiple signal classification (MUSIC) is proposed. …”
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Multi-Objective Genetic Algorithm for Task Assignment on Heterogeneous Nodes by Carolina Blanch Perez del Notario, Rogier Baert, Maja D'Hondt

“…Moreover, targeting the optimization of multiple objectives makes it even more challenging. …”
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Track-Before-Detect Procedures in AM Radio-Based Passive Radar by Yang Li, Hong Ma, Yuntao Wu, Li Cheng

“…We make the theoretical analysis about how the linear equations can be used to track multiple target, and how multiple target’s constant velocities and initial positions can be estimated, which is an additional parameter estimation capability of the proposed method. …”
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Scheduling with Collaborative Mobile Chargers Inter-WSNs by Jidong Zhao, Xili Dai, Xiaomin Wang

“…For solving the problem of multiple mobile chargers with different routing paths, we propose to transform the multiple routing problems into a single routing problem, by duplicating the sink into multiple virtual sinks. …”
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Privileges in Printmaking by Marlise Rijks

“…Printmaking was a disruptive image-technology because it produced images as multiples on an unprecedented scale. With its success also came problems. …”
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Group-Valued Multisets by Andrei Alexandru, Gabriel Ciobanu

“…Hybrid sets are defined as multisets having also negative multiplicities, i.e. as functions from a crisp set to the group of all integers. …”
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Dynamic Meshing Force Analysis of Parallel Planetary Gear based on RBF Neural Network by Xia Yuan, Xiaohua Hao, Xuewen Song, Jianli Zhang, Gang An

“…The harmonic analysis method is used to obtain the frequency ratio of meshing force under multiple working conditions， so as to establish RBF neural network model， and a prediction of meshing force in a certain working range is carried out. …”
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Fatigue properties and fracture mechanism of load carrying type fillet joints with one-sided welding by Takamasa Abe, Hiroyuki Akebono, Masahiko Kato, Atsushi Sugeta

“…So considering the combination of cracks from multiple crack origins is important for a precise evaluation of fatigue damage.…”
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An exact approach to calibrating infectious disease models to surveillance data: The case of HIV and HSV-2 by David J. Gerberry

“…Doing so requires the modeler to find multiple parameter sets for which the model produces behavior that is consistent with the surveillance data. …”
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Turbine Airfoil Optimization Using Quasi-3D Analysis Codes by Sanjay Goel

“…A new approach to optimize the geometry of a turbine airfoil by simultaneously designing multiple 2D sections of the airfoil is presented in this paper. …”
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Cooperative modulation recognition based on one-dimensional convolutional neural network for MIMO-OSTBC signal by Zeliang AN, Tianqi ZHANG, Baoze MA, Pan DENG, Yuqing XU

“…To recognize the modulation style adopted in multiple-input-multiple-output orthogonal space-time block code (MIMO-OSTBC) systems, a cooperative modulation recognition algorithm based on the one-dimensional convolutional neural network (1D-CNN) was proposed.With the lossless I/Q signal selected as shallow features, the zero-forcing blind equalization was first leveraged to improve the discrimination of different modulation signals.Then the 1D-CNN recognition model was devised and trained to extract deep features from shallow ones.Later, two decision fusion strategies of voting-based and confidence-based were leveraged in the multiple-antenna receiver to improve recognition accuracy.Experimental results show that the proposed algorithm can effectively recognize five modulation types {BPSK, 4PSK,8PSK,16QAM,4PAM}, with a 100% recognition accuracy when the signal-to-noise is equal or greater than-2 dB.…”
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