Particle Size-Dependent Monthly Variation of Pollution Load, Ecological Risk, and Sources of Heavy Metals in Road Dust in Beijing, China by Cong Men, Donghui Li, Yunqi Jing, Ke Xiong, Jiayao Liu, Shikun Cheng, Zifu Li

“…The particle size fraction load index, coefficient of divergence, and Nemerow integrated risk index were used to analyze the temporal variation of pollution load and ecological risk in different particle size fractions. …”
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Random Statistical Analysis of Transverse Momentum Spectra of Strange Particles and Dependence of Related Parameters on Centrality in High Energy Collisions at the LHC by Xu-Hong Zhang, Fu-Hu Liu, Khusniddin K. Olimov, Airton Deppman

“…We have studied the transverse momentum (pT) spectra of the final-state strange particles, including K±, ϕ, Ξ, and Ω, produced in high energy lead–lead (Pb–Pb), proton–lead (p–Pb), xenon–xenon (Xe–Xe) collisions at the Large Hadron Collider (LHC). …”
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Quasi-parallel Antisunward-propagating Whistler Waves Associated with the Electron Deficit in the Near-Sun Solar Wind: Particle-in-cell Simulation by Alfredo Micera, Daniel Verscharen, Jesse T. Coburn, Maria Elena Innocenti

“…The sunward side of the VDF, initially depleted of electrons, is gradually filled, as this wave−particle interaction process, triggered by the depletion itself, takes place. …”
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Dilution Ratio and Particle Loss Performance of a Newly Developed Ejector Porous Tube Diluter Compared to a Commercial Diluter by Dongho Shin, Hyunsoo Seo, Kee-Jung Hong, Hak-Joon Kim, Yong-Jin Kim, Bangwoo Han, Ga-Young Lee, Sung-Nam Chun, Jungho Hwang

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3D modelling and simulation of thermal effects and dispersion of particles carrying infectious respiratory agents in a railway transport coach by Patrick Armand, Jérémie Tâche

“…The passenger emits liquid particles containing, for example, COVID-19 virions or any other pathogen. …”
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A molecular toxicological study to explore potential health risks associated with ultrafine particle exposure in cold and humid indoor environments by Ziyu Shu, Shuo Qing, Xu Yang, Ping Ma, Yang Wu, Baizhan Li, Fangxin Fang, Runming Yao

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Impacts of nano-clay particles and heat-treating on out-of-phase thermo-mechanical fatigue characteristics in piston aluminum-silicon alloys by H. Bahmanabadi, M. Azadi, A. Dadashi, J. Torkian, M.S.A. Parast, G. Winter, F. Grun

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An Effective Hybrid Algorithm Based on Particle Swarm Optimization with Migration Method for Solving the Multiskill Resource-Constrained Project Scheduling Problem by Huu Dang Quoc, Loc Nguyen The, Cuong Nguyen Doan

“…That is executed using the Migration technique combined with the Particle Swarm Optimization (PSO) method. The new algorithm is called M-PSO. …”
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Prediction of the Wall Factor of Arbitrary Particle Settling through Various Fluid Media in a Cylindrical Tube Using Artificial Intelligence by Mingzhong Li, Guodong Zhang, Jianquan Xue, Yanchao Li, Shukai Tang

“…Considering the influence of particle shape and the rheological properties of fluid, two artificial intelligence methods (Artificial Neural Network and Support Vector Machine) were used to predict the wall factor which is widely introduced to deduce the net hydrodynamic drag force of confining boundaries on settling particles. 513 data points were culled from the experimental data of previous studies, which were divided into training set and test set. …”
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Interferon-γ production in response to the cytotoxic T lymphocyte epitope within an antigen incorporated in simian virus 40 virus-like particles by Takeharu Watanabe, Masayuki Hayashi, Masaaki Arai, Sho Matsushita, Hiroshi Handa, Masaaki Kawano

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An Age-Structured Model of HIV Infection that Allows for Variations in the Production Rate of Viral Particles and the Death Rate of Productively Infected Cells by Patrick W. Nelson, Michael A. Gilchrist, Daniel Coombs, James M. Hyman, Alan S. Perelson

“…We develop and analyze an age-structured model of HIV-1 infection thatallows for variations in the death rate of productively infected T cellsand the production rate of viral particles as a function of thelength of time a T cell has been infected. …”
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Accurate and optimal control of a bidirectional DC-DC converter: A robust adaptive approach enhanced by particle swarm optimization by Julius Derghe Cham, Francis Lénine Djanna Koffi, Alexandre Teplaira Boum, Ambe Harrison, Paul Michael Dongmo Zemgue, Njimboh Henry Alombah

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M cells targeted H. pylori antigen SAM-FAdE displayed on bacterium-like particles induce protective immunity by Furui Zhang, Jiale Chen, Zhen Zhang, Jing Wu, Yuliang Qu, Linhan Ni, Guolin Zhang, Kunmei Liu, Le Guo

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Visualization Method for Porous Groundwater Seepage Flow Field Based on Particle Flow: Case of Yancheng City in the East Coast of China by Liang He, Ling Chen, Suozhong Chen

“…This visualization method is discussed from four aspects: the generation of seed points, the life cycle of particles, the movement velocity of particles, and the formation of particle trajectory and smooth processing. …”
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Electrical Resistivity, Tribological Behaviour of Multiwalled Carbon Nanotubes and Nanoboron Carbide Particles Reinforced Copper Hybrid Composites for Pantograph Application by N. Selvakumar, K. Gangatharan

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An Energy Distance Aware Clustering Protocol with Dual Cluster Heads Using Niching Particle Swarm Optimization for Wireless Sensor Networks by Dexin Ma, Pengmin Xu

“…In this literature, we propose an energy distance aware clustering protocol with Dual Cluster Heads using Niching Particle Swarm Optimization (DCH-NPSO). The protocol selects two cluster heads in each cluster, the Master Cluster Head (MCH) and the Slave Cluster Head (SCH), and the selection needs to consider the network state information carefully and deliberately. …”
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A Network Traffic Prediction Model Based on Quantum-Behaved Particle Swarm Optimization Algorithm and Fuzzy Wavelet Neural Network by Kun Zhang, Zhao Hu, Xiao-Ting Gan, Jian-Bo Fang

“…Firstly, quantum-behaved particle swarm optimization (QPSO) was introduced. …”
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Wheel/Rail Adhesion State Identification of Heavy-Haul Locomotive Based on Particle Swarm Optimization and Kernel Extreme Learning Machine by Jianhua Liu, Linfan Liu, Jing He, Changfan Zhang, Kaihui Zhao

“…A wheel/rail adhesion state identification method based on particle swarm optimization (PSO) and kernel extreme learning machine (KELM) is proposed. …”
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Using a region-specific ice-nucleating particle parameterization improves the representation of Arctic clouds in a global climate model by A. B. Gjelsvik, R. O. David, T. Carlsen, F. Hellmuth, S. Hofer, Z. McGraw, Z. McGraw, H. Sodemann, H. Sodemann, T. Storelvmo, T. Storelvmo

“…<p>Projections of global climate change and Arctic amplification are sensitive to the representation of low-level cloud phase in climate models. Ice-nucleating particles (INPs) are necessary for primary cloud ice formation at temperatures above approximately <span class="inline-formula">−</span>38 °C and thus significantly affect cloud phase and cloud radiative effect (CRE). …”
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Estimating the Pile Settlement Using a Machine Learning Technique Optimized by Henry's Gas Solubility Optimization and Particle Swarm Optimization by Saravana Kumar, Savarimuthu Robinson

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