Scaling of hardware-compatible perturbative training algorithms by B. G. Oripov, A. Dienstfrey, A. N. McCaughan, S. M. Buckley

“…In this work, we explore the capabilities of multiplexed gradient descent (MGD), a scalable and efficient perturbative zeroth-order training method for estimating the gradient of a loss function in hardware and training it via stochastic gradient descent. …”
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Communication Network Design of the Control System for Central Distributed PV System Based on CAN Bus by REN Yi, WANG Nan, CHEN Yifeng, ZHU Qiliang

“…In order to improve communication real-time performance and configuration flexibility of control system of D&C(central distributed) PV system, this paper adopted CAN bus with multi-master communication mode to replace RS485 bus with master-slave communication mode, and proposed a method of setting initial priority by memory balance based on CAN dynamic priority assignment algorithm. …”
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Research on Underwater Sensor Network Adaptive Clustering Algorithm for Marine Environment Monitoring by Libin Xue, Chunjie Cao, Rongxin Zhu

“…Thus, the mobile monitoring nodes within UWSNs are typically powered by batteries with limited energy, and replacement on the seabed is challenging. …”
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Biocatalytic reductive amination with CRISPR-Cas9 engineered yeast by Arne Hagman, Olof Stenström, Göran Carlström, Mikael Akke, Carl Grey, Magnus Carlquist

“…To reduce native alanine utilization, the endogenous alanine aminotransferase (ALT1) was knocked out and replaced with cv-ATA. To rapidly employ this strategy in other strains, a simple CRISPR/cas9 method for universal gene replacement was developed. …”
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Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

“…Objective Localization algorithms for underwater acoustic sensor networks typically depend on distance estimation methods, such as point-to-point distance estimation or angle estimation, to achieve node localization between nodes. …”
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Feature recommendation strategy for graph convolutional network by Jisheng Qin, Xiaoqin Zeng, Shengli Wu, Yang Zou

“…Graph Convolutional Network (GCN) is a new method for extracting, learning, and inferencing graph data that builds an embedded representation of the target node by aggregating information from neighbouring nodes. …”
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Experience of using internal fixation in the treatment of patients with inflammatory complications of mandibular fractures: a retrospective study by Alexander S. Pankratov, Zauri P. Gotsiridze, Mariya A. Karalkina

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Discomfort during instillation of antihypertensives and ocular surface condition in glaucoma patients by Dmitry A. Dorofeev, Alexey A. Antonov, Aleksandr V. Gorobets, Elena V. Kirilik, Alexandra K. Safronova, Anton I. Sinitsky, Olga G. Pozdeeva, Yuliya M. Shatrova, Artem Z. Tsyganov

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Multiscale Modeling of Mechanical Response of Carbon Nanotube Yarn with Orthotropic Properties Across Hierarchies by Aref Mehditabar, Hossein Esfandian, Seyed Sadegh Motallebi Hasankola

“…By doing so, rigidity and mass equivalent principles are adopted to introduce a replacement of the model by converting the truss structure containing two-node beam elements representing (vdW) van der Waals forces in a nanoscale bundle and inclined narrower bundles in mesoscale fibrillar used in previous works to the equivalent shell model. …”
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Group Authentication Key Agreement Protocol Based on Certificateless Cryptography in UAV Network by Yuecheng WANG, Youwen ZHU, Zhiqiang ZHANG

“…The central node with high computing power in the group functions as the hub node, undertaking most computing and communication tasks. …”
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Ideal Navitor Implant Depth for Redo-TAVR Feasibility and Coronary Access by Sahil Khera, MD, MPH, Syed Zaid, MD, Parasuram Krishnamoorthy, MD, Anoop N. Koshy, MBBS, PhD, Sneha Gudibendi, HS, Megan Berdan, HS, Lucy M. Safi, DO, Stamatios Lerakis, MD, PhD, George D. Dangas, MD, PhD, Samin K. Sharma, MD, Annapoorna S. Kini, MD, Gilbert H.L. Tang, MD, MSc, MBA

“…Methods: Using 2050 pre-TAVR CTs of patients with native aortic stenosis, initial Navitor TAVR simulations were done at 3 implant depths (0 mm, 3 mm, and 5 mm), with frame expansion assumed at native annular dimensions and commissural alignment not achievable. …”
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Research on postural behavior and structural response prediction of scraper conveyor based on digital twin by Qiang ZHANG, Wei LIU, Yang WANG, Shouxiang MA, Jinpeng SU, Runxin ZHANG

“…A hierarchical clustering method is employed to cluster nodes with similar numerical values. …”
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Mandibular reconstruction with anterolateral thigh free flap and bridging plate: a retrospective study of 34 oncological cases by Caterina Ottaviano, Caterina Ottaviano, Funda Goker, Funda Goker, Funda Goker, Marcello Cammalleri, Marcello Cammalleri, Andrea Fior, Andrea Fior, Vittorio Favero, Tommaso Rizzo, Tommaso Rizzo, Guido Lobbia, Guido Lobbia, Gianluca Colapinto, Gianluca Colapinto, Gianluca Colapinto, Massimo Albanese, Massimo Albanese, Massimo Del Fabbro, Massimo Del Fabbro, Giorgio Barbera, Giorgio Barbera

“…Seven patients who experienced serious postoperative complications received additional surgery involving the replacement of titanium plates [three with custom-made plates using computer-aided design (CAD)/computer-aided manufacturing (CAM) methods]. …”
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Multiple Feature Vectors Based Fault Classification for WSN Integrated Bearing of Rolling Mill by Bo Qin, Luyang Zhang, Heng Yin, Yan Qin

“…From the above analysis, the energy index and the singular value matrix are used for fault classification modeling based on the enhanced extreme learning machine (ELM), which is optimized by the bat algorithm to adjust the input weights and threshold of hidden layer node. In comparison with the fault classification methods based on SVM and ELM, the experimental results show that the proposed method has higher classification accuracy and better generalization ability.…”
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Source-Aware Redundant Packet Forwarding Scheme for Emergency Information Delivery in Chain-Typed Multihop Wireless Sensor Networks by Gongbo Zhou, Zhencai Zhu, Peng Zhang, Wei Li

“…The results show that (1) non-ACK scheme is highly suitable for the condition of large network size and hazardous wireless communication environment; (2) the non-source-aware solution is easy to use and is suitable for the occasion where the node could be replaced on demand expediently; (3) the source-aware solution has the better performance in energy efficiency and is suitable for the occasion where the network lifetime needs to be determined before deployment, and the node could not be replaced easily.…”
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An energy-balanced multi-sensor scheduling scheme for collaborative target tracking in wireless sensor networks by Pengcheng Fu, Hongying Tang, Yongbo Cheng, Baoqing Li, Hanwang Qian, Xiaobing Yuan

“…In addition, we also design an efficient multi-sensor node collaborative method to track a single target and to timely report its state to the remote end. …”
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Bayesian weighted random forest for classification of high-dimensional genomics data by Oyebayo Ridwan Olaniran, Mohd Asrul A. Abdullah

“…Firstly, the tree terminal node estimation procedure is replaced with a Bayesian estimation approach. …”
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State Estimation for Active Distribution Networks Considering Bad Data in Measurements and Topology Parameters by Yizhe Chen, Yifan Gao, Kai Gan, Ming Li, Chengzhi Wei, Xiaoyi Guo, Ruifeng Zhao, Jiangang Lu, Liang Che

“…In a simulation, the proposed method’s effectiveness is verified on the modified IEEE 33-node system.…”
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Research on rechargeable agricultural wireless sensor network based on ZigBee immune routing repair algorithm by Ruipeng Tang, Yinhe Wu, Jun Tan, Binghong Guan, Narendra Kumar Aridas, Mohamad Sofian Abu Talip

“…Although solar energy and other power supply methods are used to solve the node energy problem, the monitoring equipment works outdoors for a long time, which is easily affected by the environment. …”
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An energy-efficient routing protocol for wireless body area networks using hybrid artificial bee colony optimization and chicken swarm optimization algorithm by A. Dinesh, J. Rangaraj

“…It categorizes the wearable sensors into groups and uses the ABC method to choose the best CH for each group. Each sensor sends data to its corresponding relay node (RN) or CH. …”
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