Adaptive Multi-Sensor Fusion for SLAM: A Scan Context-Driven Approach by Yijing Zhang, Jia Liu, Runxi Cao, Yunxi Zhang

“…This paper proposes a novel multi-sensor fusion SLAM algorithm, named SC-LVI-SAM, based on scanning context, to address the issues of decreased positioning accuracy caused by missing feature points and prolonged motion in complex large-scale scenes in multi-sensor fusion SLAM algorithms. …”
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Investigations of Coal-Rock Parting-Coal Structure (CRCS) Slip and Instability by Excavation by Guang-Jian Liu, Heng Zhang, Ya-Wei Zhu, Wen-Hao Cao, Xian-Jun Ji, Cai-Ping Lu, Yang Liu

“…Slip and instability of coal-rock parting-coal structure (CRCS) subjected to excavation disturbance can easily induce coal-rock dynamic phenomena in deep coal mines. In this paper, the failure characteristics and influencing factors of CRCS slip and instability were investigated by theoretical analysis, numerical simulations, and field observations. …”
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Design and Research on the Variable Polar Distance of the Double-Sided Linear Induction Motor for Electromagnetic Catapult by Xijun Liu, Hao Zhao, Houlong Ai, Zelin Chen

“…According to the special technical requirements of carrier-based aircraft catapults, this paper describes the design of a variable pole distance bilateral linear induction motor. …”
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Hydrogels for the Application of Articular Cartilage Tissue Engineering: A Review of Hydrogels by Er-Yuan Chuang, Chih-Wei Chiang, Pei-Chun Wong, Chih-Hwa Chen

“…In order to make use of these hydrogels, cartilage implants were formulated in the laboratory to demonstrate the bionic mechanical behaviors of physiological cartilage. This paper discusses developments concerning the use of polymeric hydrogels for substituting injured cartilage tissue and assisting tissue growth. …”
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Technology of estimating nitrogen dioxide and carbon dioxide emissions by large industrial centers of Western Siberia by A.A. Lagutin, N.V. Volkov, E.Y. Mordvin, V.V. Sinitsin

“…The paper presents results of the development and testing with real data of a technology for assessing the emission of nitrogen dioxide and carbon dioxide from sources in Western Siberia. …”
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Compact High-Zoom-Ratio Mid-Wavelength Infrared Zoom Lens Design Based on Particle Swarm Optimization by Zhenhao Liu, Jipeng Zhang, Yuqi Huang, Xin Zhang, Hongbo Wu, Jianping Zhang

“…This paper presents an automated method for solving the initial structure of compact, high-zoom-ratio mid-wave infrared (MWIR) zoom lenses. …”
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The Dependence of Water and Gas Breakthrough on the Choice of Model Parameters in Naturally Fractured Reservoirs Using Sector and Full Reservoir Models by Barham Sabir Mahmood, Mohammed Jamal Awl, Farhad Abdulrahman Khoshnaw

“…Therefore, accurate reservoir modelling and simulation must be conducted in order to achieve ultimate recovery. In this paper, a sector model has been developed based on the studied example field, and its results are compared with the full reservoir model to find out the degree of resemblance between their outputs. …”
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Unblocking stuffy orifice and scraping technique for a child with allergic rhinitis of Qi deficiency of lung and spleen and related nursing measures (局部通窍刮痧技术治疗1例肺脾气虚型变应性鼻炎患儿的护理体会)... by WANG Cai (王采), CHANG Siming (常明思)

“…This paper observed the effect of unblocking stuffy orifice and scraping technique in a child with allergic rhinitis of Qi deficiency of lung and spleen Key issues of nursing assessment, routine nursing, acupoint selection, operation method and precautions of scraping technique were summarized. …”
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The joint policy of production, maintenance, and product quality in a multi-machine production system by reinforcement learning and agent-based modeling by Mohammad Reza Nazabadi, Seyed Najafi, Ali Mohaghar, Farzad Movahedi Sobhani

“…Consequently, investigating these aspects in isolation may yield an infeasible solution. This paper aims to address the joint optimal policy of production, maintenance, and quality in a two-machine-single-product production system with an intermediate buffer and final product storage. …”
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A Low Power CMOS UWB LNA with Sub-1V Supply Voltage and Noise Cancellation Technique by Mehdi Alinejad, Emad Ebrahimi

“…Using the noise cancelation method, the design and simulation of a new wideband LNA has been discussed in this paper, in which the power consumption has been significantly reduced by using positive feedback as well as sub-1 volt supply voltage. …”
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Si-doped AlN using pulsed metalorganic chemical vapor deposition and doping by Tariq Jamil, Abdullah Al Mamun Mazumder, Mafruda Rahman, Muhammad Ali, Jingyu Lin, Hongxing Jiang, Grigory Simin, Asif Khan

“…In this paper we describe a pulsed metalorganic chemical vapor deposition (MOCVD) Si-doping approach for AlN epilayers over bulk AlN. …”
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Information and knowledge management: dimensions and approaches by Christian Schlögl

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Experimental Characterization of Reversible Oil-Flooded Twin-Screw Compressor/Dry Expander for a Micro-Scale Compressed Air Energy Storage System by Marco Francesconi, Arianna Baldinelli, Luca Sani, Marco Antonelli

“…The reversible use of a volumetric machine as a compressor and expander shows potential for micro-scale compressed air energy storage systems because of lower investment costs and higher operational flexibility. This paper investigates experimentally the reversible use of a 3 kW oil-flooded twin-screw compressor as an expander for a micro-scale compressed air energy storage system to assess its operation while minimizing operating costs and the need for adjustments. …”
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Similarities and differences between two Hungarian particles for also: szintén and is by Judit Farkas, Bettina Futó, Aliz Huszics, Judit Kleiber, Mónika Dóla, Gábor Alberti

“… The paper provides a comparative analysis of the syntax, semantics and pragmatics of two Hungarian particles with the same logical core meaning also: is and szintén. …”
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New trends in Sino-Russian entrepreneurship by Wantao Lai, Ye Dongmei, Duanan Zheng

“…Not only the long history of Sino-Russian economic communication but also Good timing, geographical convenience and good human relations help build up a solid foundation for modern cooperation between China and Russia as well as provide entrepreneurs with good opportunities to process global operation in Russian market or Chinese market.. This paper explores some new trends in entrepreneurship, which are both in China and Russia and pinpoint the underlying reasons behind those new trends. …”
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On the Emergence of Islands in Complex Networks by J. Esquivel-Gómez, R. E. Balderas-Navarro, P. D. Arjona-Villicaña, P. Castillo-Castillo, O. Rico-Trejo, J. Acosta-Elias

“…However, it has been demonstrated that some large complex networks have more than one island, with an island size distribution (Is) obeying a power-law function Is~s-α. This paper introduces a growth model that considers the emergence of islands as the network grows. …”
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Health literacy and cardiovascular disease prevention: a systematic scoping review protocol by Vanessa Vaughan, Mojtaba Lotfaliany, Bonnie Beasant, Georgie Lee, Sarah Hosking

“…A secondary author will screen 10% of abstracts, with a third subject-matter expert reviewing conflicts.Ethics and dissemination This review will be disseminated through peer-reviewed scholarly networks, most likely including journal publication and conference presentation.Article summary CVD is the leading cause of death around the world. This paper proposes an exploration of health literacy’s relationship with CVD prevention as a whole, contrasting with the more segmented reviews currently published.…”
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SSA-ELM Hydrological Time Series Forecast Model Based on Wavelet Packet Decomposition and Phase Space Reconstruction by LI Lude, CUI Dongwen

“…Considering the nonlinear and multi-scale characteristics of hydrological time series,this paper proposes a squirrel search algorithm (SSA)-extreme learning machine (ELM) forecasting model based on wavelet packet decomposition (WPD) and phase space reconstruction.It is then applied to the Shangguo Hydrological Station in Yunnan Province for monthly runoff and precipitation forecasting.Specifically,WPD is performed to decompose the runoff and precipitation time series data,and the Cao method is applied to reconstruct the phase space of each subseries component.Then,the principle of SSA is outlined,and objective functions are constructed through the training samples of each component.The objective functions are optimized by SSA,and the results are compared with the optimization results of the whale optimization algorithm (WOA),the gray wolf optimization (GWO) algorithm,and the particle swarm optimization (PSO) algorithm.Finally,the weight of the ELM input layer and the hidden layer bias obtained by optimization based on SSA,WOA,GWO algorithm,and PSO algorithm,respectively,are utilized to build SSA-ELM,WOA-ELM,GWO-ELM,and PSO-ELM models,which,in addition to the unoptimized ELM models,are applied to forecast each subseries component,and the forecast results are summed and reconstructed to obtain the final forecasting results.The results show that SSA outperforms WOA,GWO algorithm,and PSO algorithm in optimizing the objective functions of each component and that it offers better optimization accuracy.The mean relative error,mean absolute error,mean square root error,and forecast pass rate of the proposed SSA-ELM model for monthly runoff and monthly precipitation forecast are 5.32% and 3.84%,0.078 m³/s and 0.169 mm,0.103 m³/s and 0.209 mm,97.5% and 95.8%,respectively,indicating that its forecasting accuracy is higher than that of other models such as the WOA-ELM model.…”
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Numerical Simulation of Engineered Material Arrestor System (EMAS) by Amirhossein Akbarikermani, Farzin Kalantary

“…The objective of this paper is to investigate and simulate the performance of EMAS using finite element analysis software capable of handling large deformation problems. …”
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Task offloading optimization in mobile edge computing based on a deep reinforcement learning algorithm using density clustering and ensemble learning by Yi Qin, Junyan Chen, Lei Jin, Rui Yao, Zidan Gong

“…To address these challenges, this paper proposes the density clustering and ensemble learning training–based deep reinforcement learning (DCEDRL) method for task offloading decision-making in mobile edge computing (MEC). …”
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