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22901
Evaluation of cold atmospheric pressure plasma effects on Pseudomonas aeruginosa wound infection in a mouse model
Published 2025-02-01“…The optimal cold plasma conditions were determined in the laboratory, with a flow of 3 liters per minute and a power of 1.1 watts. …”
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22902
A Large-Scale Network Data Analysis via Sparse and Low Rank Reconstruction
Published 2014-01-01“…Some mathematical approaches on flow-level traffic data have been proposed due to the importance of analyzing the structure and situation of the network. …”
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22903
Life-Threatening Intrapulmonary Hemorrhage due to Vancomycin-Induced Thrombocytopenia: A Case Report
Published 2020-01-01“…Vancomycin-dependent anti-platelet antibodies were identified in the patient’s serum by flow cytometry. Thrombocytopenia is an underrecognized complication of Vancomycin that can lead to life-threating bleeding. …”
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22904
Synaptic energy drives the information processing mechanisms in spiking neural networks
Published 2013-09-01“…Flow of energy and free energy minimization underpins almost every aspect of naturally occurring physical mechanisms. …”
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22905
Line Planning under the Operation Mode of Line Sharing between Metro and Suburban Railway
Published 2023-01-01“…The constraints of this model encompass passenger flow, available vehicles, line carrying capacity, station capacity, cross-line configuration, departure frequency, and variable value range. …”
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22906
Transcranial Alternating Current and Random Noise Stimulation: Possible Mechanisms
Published 2016-01-01“…As a result, fine-grained models of the human skull and brain allow the prediction of the exact pattern of current flow during tDCS and tACS. Finally, recent studies on human physiology and behavior complete the picture of noninvasive modulation of brain oscillations. …”
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22907
A Hybrid Framework for Real-Time Dispatching of Airline Unit Load Devices under Demand Variations
Published 2022-01-01“…The hybrid framework is developed by integrating techniques including the probability distribution technique to simulate different types of operational demand, the adjustable number of stages which is needed to meet the requirements of a decision-making process following a time sequence and the time pressure characteristic of real operations, and the scenario tree and probability rule approaches which are aimed and representing all possible demand scenarios for a stage, while the network flow technique is applied to represent the movement and location of ULDs at each airport over time and is used for the development of the associated mathematical model and the simulation. …”
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22908
Urban Traffic Accident Frequency Modeling: An Improved Spatial Matrix Construction Method
Published 2025-01-01“…Despite the central role of roads as the primary conduit for traffic flow and a direct exposure variable in accidents, their impact on spatial correlation in accident analysis has not been fully explored. …”
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22909
Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
Published 2025-01-01“…Pumping tests are the primary method for obtaining aquifer parameters, and their accuracy directly impacts the assessment of regional hydrogeological conditions, as well as the subsequent development, utilization, protection, and management of groundwater. Traditional unsteady flow methods face limitations due to subjective influences and non-uniqueness in parameter determination, making aquifer parameters dependent on the estimation method and observation well locations. …”
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22910
Wind-Induced Response of an L-Shaped Cable Support Glass Curtain Wall
Published 2017-01-01“…Time-domain vibration analysis of the curtain wall is carried out with the random sequence of multinode fluctuating wind velocity time history simulated by autoregressive linear filtering method based on Kaimal wind velocity spectrum. Four wind flow directions are specified, namely, 0°, 15°, 30°, and 45°, to analyze the wind-induced dynamic response of this structure with consideration of the fluid-structure interaction effect. …”
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22911
Nonlinear Dynamic Model-Based Adaptive Control of a Solenoid-Valve System
Published 2012-01-01“…The challenge is that solenoids and butterfly valves have uncertainties in multiple parameters in the nonlinear model; various kinds of physical appearance such as size and stroke, dynamic parameters including inertia, damping, and torque coefficients, and operational parameters especially, pipe diameters and flow velocities. These uncertainties are making the system not only difficult to adjust to the environment, but also further complicated to develop the appropriate control approach for meeting the system objectives. …”
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22912
Hydrological Layered Dialysis Research on Supply Chain Financial Risk Prediction under Big Data Scenario
Published 2018-01-01“…Financial institutions transform materialized capital flows into online data under big data scenario, which provides networked, precise, and computerized financial services for SMEs in the supply chain. …”
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22913
Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach
Published 2025-01-01“…Subsequently, we examine the consequences of these attacks on both singular vehicle dynamics (micro) and broader traffic flow patterns (macro). We introduce a new anomaly detection model based on generative adversarial networks (GAN) designed for the real-time pinpointing of such attacks using vehicle trajectory data. …”
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22914
Nonlinear MIMO Control of a Continuous Cooling Crystallizer
Published 2012-01-01“…The control objectives were the stabilization of the third moment of the crystal size distribution (μ3) and the crystallizer temperature (T); the manipulated variables were the stirring rate and the coolant flow rate. The nonlinear control (NLC) was tested at operating conditions established within the metastable zone. …”
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22915
Computer Deep Learning Network Security Vulnerability Detection Based on Virtual Reality Technology
Published 2022-01-01“…This study introduces the working principle of the network security monitoring system, analyzes the key technologies involved in the system development process and network programming technology, gives the overall architecture of the system, and designs the processing flow of the monitoring function. The test and analysis of the system show that the design of the system has achieved the expected design goal. …”
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22916
Temperature Depended Role of Shigella flexneri Invasion Plasmid on the Interaction with Acanthamoeba castellanii
Published 2012-01-01“…A. castellanii in the absence or presence of wild type, IpaB mutant, or plasmid-cured strain S. flexneri was cultured at 30∘C and 37∘C and the interaction was analysed by viable count of both bacteria and amoebae, electron microscopy, flow cytometry, and statistical analysis. The outcome of the interaction was depended on the temperature since the growth of A. castellanii was inhibited at 30∘C, and A. castellanii was killed by invasion plasmid mediated necrosis at 37∘C.…”
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22917
Genetic Diversity of Echinococcus granulosus in Southwest China Determined by the Mitochondrial NADH Dehydrogenase Subunit 2 Gene
Published 2014-01-01“…Hence, regional populations of E. granulosus in the southwest China are not differentiated, as gene flow among them remains high. This information is important for formulating unified region-wide prevention and control measures. …”
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22918
Defining the Optimal Level of Pressure Fluctuations at Pressure Control Management Strategy for Reducing Water Losses in Water Networks
Published 2025-01-01“…In the next stage, the operating scenario for the flow-sensitive advanced pressure management was started to be created. …”
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22919
Development of Small Hydroelectric Power Plant Maintenance Costs using Chaos Embedded Adaptive Particle Swarm Optimization
Published 2023-12-01“…In the study, unlike the literature, the flow parameter is added to the power and head parameters. …”
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22920
New Generation of Smart Highway: Framework and Insights
Published 2021-01-01“…The corresponding physical framework and data flow are introduced, in which three data attributes (data accuracy, dimensionality, and freshness) are highlighted to describe the data requirements for various scenarios. …”
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