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Journal articles on the topic 'GO-STOP-GO Models'

Author: Grafiati

Published: 6 September 2023

Last updated: 7 September 2023

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1

Pujol, Oriol, Debora Gil, and Petia Radeva. "Fundamentals of Stop and Go active models." Image and Vision Computing 23, no. 8 (2005): 681–91. http://dx.doi.org/10.1016/j.imavis.2005.03.007.

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Schall, Jeffrey D., Thomas J. Palmeri, and Gordon D. Logan. "Models of inhibitory control." Philosophical Transactions of the Royal Society B: Biological Sciences 372, no. 1718 (2017): 20160193. http://dx.doi.org/10.1098/rstb.2016.0193.

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We survey models of response inhibition having different degrees of mathematical, computational and neurobiological specificity and generality. The independent race model accounts for performance of the stop-signal or countermanding task in terms of a race between GO and STOP processes with stochastic finishing times. This model affords insights into neurophysiological mechanisms that are reviewed by other authors in this volume. The formal link between the abstract GO and STOP processes and instantiating neural processes is articulated through interactive race models consisting of stochastic

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Pamanikabud, Pichai, and Chaisri Tharasawatpipat. "Stop-and-Go Urban Traffic Noise Simulation and Prediction." Noise & Vibration Worldwide 33, no. 4 (2002): 17–24. http://dx.doi.org/10.1260/095745602320753156.

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This paper presents techniques for simulating of urban traffic noise along with a mathematical model of stop-and-go traffic noise for the road network in the city center. The road network in the central part of Bangkok surrounded by the cordon line of Rajchadapisek Ring Road was used as the study area. The analysed data consisted of traffic characteristics and its noise levels which were collected from the study area together with the geometrical dimensions of road sections at each data collection locations. Finally, the stop-and-go traffic noise models generated by this study in the form of a

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Penadés, R., R. Catalán, K. Rubia, S. Andrés, M. Salamero, and C. Gastó. "Impaired response inhibition in obsessive compulsive disorder." European Psychiatry 22, no. 6 (2006): 404–10. http://dx.doi.org/10.1016/j.eurpsy.2006.05.001.

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AbstractObjectiveThe present study investigates different three inhibitory control functions in patients with obsessive-compulsive disorder (OCD). Selective motor response inhibition was tested in a GO/NO-GO paradigm, the inhibition of a triggered motor response in a STOP paradigm and the ability to inhibit cognitive interference in a motor STROOP paradigm.Methods27 patients who met DSM-IV criteria for OCD and 25 age, handedness and IQ-matched healthy control subjects were tested in the GO/NO-GO, STOP and motor STROOP tasks.ResultsOCD patients performed significantly worse than controls in the

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Farah, Ashraf, Ashraf Talaat, and Farrag Farrag. "Accuracy Assessment of Digital Elevation Models Using GPS." Artificial Satellites 43, no. 4 (2008): 151–61. http://dx.doi.org/10.2478/v10018-009-0014-7.

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Accuracy Assessment of Digital Elevation Models Using GPSA Digital Elevation Model (DEM) is a digital representation of ground surface topography or terrain with different accuracies for different application fields. DEM have been applied to a wide range of civil engineering and military planning tasks. DEM is obtained using a number of techniques such as photogrammetry, digitizing, laser scanning, radar interferometry, classical survey and GPS techniques. This paper presents an assessment study of DEM using GPS (Stop&Go) and kinematic techniques comparing with classical survey. The result

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Soltanifar, Mohsen, Michael Escobar, Annie Dupuis, Andre Chevrier, and Russell Schachar. "The Asymmetric Laplace Gaussian (ALG) Distribution as the Descriptive Model for the Internal Proactive Inhibition in the Standard Stop Signal Task." Brain Sciences 12, no. 6 (2022): 730. http://dx.doi.org/10.3390/brainsci12060730.

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Measurements of response inhibition components of reactive inhibition and proactive inhibition within the stop-signal paradigm have been of particular interest to researchers since the 1980s. While frequentist nonparametric and Bayesian parametric methods have been proposed to precisely estimate the entire distribution of reactive inhibition, quantified by stop signal reaction times (SSRT), there is no method yet in the stop signal task literature to precisely estimate the entire distribution of proactive inhibition. We identify the proactive inhibition as the difference of go reaction times f

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Czapla, Marta, Sabine Vollstädt-Klein, Mira Fauth-Bühler, et al. "Response inhibition deficits: Reliability of alcohol-related assessment tasks." SUCHT 62, no. 4 (2016): 203–15. http://dx.doi.org/10.1024/0939-5911/a000431.

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Abstract. Background: While models of addictive behaviour stress the role of an impairment of response inhibition when drug-dependent individuals are confronted with drug-associated stimuli, results from different studies are conflicting. However, there is a considerable lack of studies that assess the reliability of tasks to assess deficits of response inhibition when drug-associated stimuli are presented. Methods: In the present paper we present results from four different studies in which either a stop-signal task (study 1), a go/no-go task (study 2/3) or a go/no-go shifting task (study 4)

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Wilson, R. Eddie. "Mechanisms for spatio-temporal pattern formation in highway traffic models." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 366, no. 1872 (2008): 2017–32. http://dx.doi.org/10.1098/rsta.2008.0018.

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A key qualitative requirement for highway traffic models is the ability to replicate a type of traffic jam popularly referred to as a phantom jam , shock wave or stop-and-go wave . Despite over 50 years of modelling, the precise mechanisms for the generation and propagation of stop-and-go waves and the associated spatio-temporal patterns are in dispute. However, the increasing availability of empirical datasets, such as those collected from motorway incident detection and automatic signalling system (MIDAS) inductance loops in the UK or the next-generation simulation trajectory data (NGSIM) pr

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Dong, Sheng, and Jibiao Zhou. "A Comparative Study on Drivers’ Stop/Go Behavior at Signalized Intersections Based on Decision Tree Classification Model." Journal of Advanced Transportation 2020 (May 29, 2020): 1–13. http://dx.doi.org/10.1155/2020/1250827.

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The stop/go decisions at signalized intersections are closely related to driving speed during signal change intervals. The speed during stop/go decision-making has a significant influence on the dilemma area, resulting in changes of stop/go decisions and high complexity of the decision-making process. Considering that traffic delays and vehicle exhaust pollution are mainly caused by queuing at intersections, the stop-line passing speed during the signal change interval will affect both vehicle operation safety and the atmospheric environment. This paper presents a comparative study on drivers’

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10

Tordeux, Antoine, Andreas Schadschneider, and Sylvain Lassarre. "Stop-and-go waves induced by correlated noise in pedestrian models without inertia." Journal of Traffic and Transportation Engineering (English Edition) 7, no. 1 (2020): 52–60. http://dx.doi.org/10.1016/j.jtte.2019.01.006.

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Saxena, Neeraj, Ruiyang Wang, Vinayak V. Dixit, and S. Travis Waller. "Frequentist and Bayesian Approaches for Understanding Route Choice of Drivers under Stop-and-Go Traffic." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 9 (2020): 371–82. http://dx.doi.org/10.1177/0361198120929332.

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Driving in congested traffic is a nuisance that not only results in longer travel times, but also triggers frustration and impatience among drivers. A few studies have modeled the effects of congested traffic in the resulting route choice behavior of car drivers. The studies used frequentist models such as discrete choice models to analyze large samples. However, these studies did not compare the inferences obtained from the frequentist and Bayesian approaches, particularly for datasets which are not sufficiently large. It has been shown by researchers that Bayesian models perform well, especi

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Molloy, M. Fiona, Giwon Bahg, Zhong-Lin Lu, and Brandon M. Turner. "Individual Differences in the Neural Dynamics of Response Inhibition." Journal of Cognitive Neuroscience 31, no. 12 (2019): 1976–96. http://dx.doi.org/10.1162/jocn_a_01458.

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Response inhibition is a widely studied aspect of cognitive control that is particularly interesting because of its applications to clinical populations. Although individual differences are integral to cognitive control, so too is our ability to aggregate information across a group of individuals, so that we can powerfully generalize and characterize the group's behavior. Hence, an examination of response inhibition would ideally involve an accurate estimation of both group- and individual-level effects. Hierarchical Bayesian analyses account for individual differences by simultaneously estima

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Tordeux, Antoine, and Andreas Schadschneider. "White and relaxed noises in optimal velocity models for pedestrian flow with stop-and-go waves." Journal of Physics A: Mathematical and Theoretical 49, no. 18 (2016): 185101. http://dx.doi.org/10.1088/1751-8113/49/18/185101.

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Mahona, John N. P., Cuthbert F. Mhilu, Joseph Kihedu, and Hannibal Bwire. "Effects of static bottlenecks on traffic flow in urban road network." International Journal of Engineering, Science and Technology 12, no. 3 (2020): 1–15. http://dx.doi.org/10.4314/ijest.v12i3.1.

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Existing traffic flow models do not consider the effects of road static bottlenecks on traffic flow. In this paper, a modified macroscopic continuum model for traffic flow on urban road network with static bottlenecks is presented. The model takes into account the fluctuations of traffic flow considering static bottlenecks during the morning peak period. The model results show that existence of static road bottlenecks with various configurations cause traffic flow instabilities. This phenomenon lead into stop-and-go traffic flow conditions under the moderate density and reduction of the traffi

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Cai, Jing, Jianyou Zhao, Yusheng Xiang, et al. "Can I Trust You? Estimation Models for e-Bikers Stop-Go Decision before Amber Light at Urban Intersection." Journal of Advanced Transportation 2020 (December 23, 2020): 1–17. http://dx.doi.org/10.1155/2020/6678996.

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Electric bike (e-bike) riders’ inappropriate go-decision, yellow-light running (YLR), could lead to accidents at intersection during the signal change interval. Given the high YLR rate and casualties in accidents, this paper aims to investigate the factors influencing the e-bikers’ go-decision of running against the amber signal. Based on 297 cases who made stop-go decisions in the signal change interval, two analytical models, namely, a base logit model and a random parameter logit model, were established to estimate the effects of contributing factors associated with e-bikers’ YLR behaviours

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Knechtel, J., L. Klingbeil, J. H. Haunert, and Y. Dehbi. "OPTIMAL POSITION AND PATH PLANNING FOR STOP-AND-GO LASERSCANNING FOR THE ACQUISITION OF 3D BUILDING MODELS." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2022 (May 18, 2022): 129–36. http://dx.doi.org/10.5194/isprs-annals-v-4-2022-129-2022.

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Abstract. Terrestrial laser scanning has become more and more popular in recent years. The according planning of the standpoint network is a crucial issue influencing the overhead and the resulting point cloud. Fully static approaches are both cost and time extensive, whereas fully kinematic approaches cannot produce the same data quality. Stop-and-go scanning, which combines the strengths of both strategies, represents a good alternative solution. In the scanning process, the standpoint planning is by now mostly a manual process based on expert knowledge and relying on the surveyor’s experien

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van den Wildenberg, Wery P. M., Geert J. M. van Boxtel, Maurits W. van der Molen, D. Andries Bosch, Johannes D. Speelman, and Cornelis H. M. Brunia. "Stimulation of the Subthalamic Region Facilitates the Selection and Inhibition of Motor Responses in Parkinson's Disease." Journal of Cognitive Neuroscience 18, no. 4 (2006): 626–36. http://dx.doi.org/10.1162/jocn.2006.18.4.626.

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The aim of the present study was to specify the involvement of the basal ganglia in motor response selection and response inhibition. Two samples were studied. The first sample consisted of patients diagnosed with Parkinson's disease (PD) who received deep-brain stimulation (DBS) of the subthalamic nucleus (STN). The second sample consisted of patients who received DBS for the treatment of PD or essential tremor (ET) in the ventral intermediate nucleus of the thalamus (Vim). Stop-signal task and go/no-go task performances were studied in both groups. Both groups performed these tasks with (on

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Can, A., and D. Botteldooren. "Towards Traffic Situation Noise Emission Models." Acta Acustica united with Acustica 97, no. 5 (2011): 900–903. http://dx.doi.org/10.3813/aaa.918469.

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This article proposes a methodology to account for vehicle kinematics in a fast and efficient way when using single vehicle noise emission models such as the Harmonoise/Imagine, Nord2000 or NMPB. A model is built, which mimics the traffic situation emission models developed in the field of airborne pollutants research. The model aggregates the sound power emitted over driving cycles which are statistically representative of real-world driving conditions. Four different driving conditions are included in the cycles, ranging from free-flowing to stop-and-go traffic conditions. The sound power le

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Li, Haisheng, Junshe An, Xiujie Jiang, and Meiyan Lin. "Raw Data Simulation of Spaceborne Synthetic Aperture Radar with Accurate Range Model." Remote Sensing 15, no. 11 (2023): 2705. http://dx.doi.org/10.3390/rs15112705.

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Simulated raw data have become an essential tool for testing and assessing system parameters and imaging performance due to the high cost and limited availability of real raw data from spaceborne synthetic aperture radar (SAR). However, with increasing resolution and higher orbit altitudes, existing simulation methods fail to generate SAR simulated raw data that closely resemble real raw data. This is due to approximations such as curved orbits, “stop-and-go” assumption, and Earth’s rotation, among other factors. To overcome these challenges, this paper presents an accurate range model with a

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Jefferies-Sewell, Kiri, Samuel R. Chamberlain, Naomi A. Fineberg, and Keith R. Laws. "Cognitive dysfunction in body dysmorphic disorder: new implications for nosological systems and neurobiological models." CNS Spectrums 22, no. 1 (2016): 51–60. http://dx.doi.org/10.1017/s1092852916000468.

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IntroductionBody dysmorphic disorder (BDD) is a debilitating disorder, characterized by obsessions and compulsions relating specifically to perceived appearance, and which has been newly classified within the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition (DSM-5) Obsessive-Compulsive and Related Disorders grouping. Until now, little research has been conducted into the cognitive profile of this disorder.MethodsParticipants with BDD (n=12) and participants without BDD (n=16) were tested using a computerized neurocognitive battery investigating attentional set-shifting (Int

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Chou, Fang-Chieh, Alben Rome Bagabaldo, and Alexandre M. Bayen. "The Lord of the Ring Road: A Review and Evaluation of Autonomous Control Policies for Traffic in a Ring Road." ACM Transactions on Cyber-Physical Systems 6, no. 1 (2022): 1–25. http://dx.doi.org/10.1145/3494577.

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This study focuses on the comprehensive investigation of stop-and-go waves appearing in closed-circuit ring road traffic wherein we evaluate various longitudinal dynamical models for vehicles. It is known that the behavior of human-driven vehicles, with other traffic elements such as density held constant, could stimulate stop-and-go waves, which do not dissipate on the circuit ring road. Stop-and-go waves can be dissipated by adding automated vehicles (AVs) to the ring. Thorough investigations of the performance of AV longitudinal control algorithms were carried out in Flow, which is an integ

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Cilliers, Jeanne, and Martine Mariotti. "Stop! Go! What Can We Learn About Family Planning From Birth Timing in Settler South Africa, 1835–1950?" Demography 58, no. 3 (2021): 901–25. http://dx.doi.org/10.1215/00703370-9164749.

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Abstract We revisit the discussion on family limitation through stopping and spacing behavior before and during the fertility transition with a sample of 12,800 settler women's birth histories in nineteenth- and twentieth-century South Africa. Using cure models that allow us to separate those who stop childbearing from those who continue, we find no evidence of parity-specific spacing before the transition. We do find evidence of non-parity-based birth postponement before the transition. Increased stopping and parity-independent postponement characterized the beginning of the fertility transit

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Lu, Chaoru, Jing Dong, Anuj Sharma, Tingting Huang, and Skylar Knickerbocker. "Predicting Freeway Work Zone Capacity Distribution Based on Logistic Speed-Density Models." Journal of Advanced Transportation 2018 (November 1, 2018): 1–15. http://dx.doi.org/10.1155/2018/9614501.

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Speed-volume-density relationship and capacity are key elements in modelling traffic operations, designing roadways, and evaluating facility performance. This paper uses a modified five-parameter logistic model to describe the speed-density relationship. The calibrated speed-density models show that the stop-and-go speed (Vb) and shape parameters (θ1 and θ2) are similar for work zones and the nonwork zone site. Accordingly, an operational capacity prediction method is proposed. To demonstrate the effectiveness of the proposed method, the predicted operational capacities are compared with the f

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Cao, Qianxia, Zhongxing Zhao, Qiaoqiong Zeng, Zhengwu Wang, and Kejun Long. "Real-Time Vehicle Trajectory Prediction for Traffic Conflict Detection at Unsignalized Intersections." Journal of Advanced Transportation 2021 (December 20, 2021): 1–15. http://dx.doi.org/10.1155/2021/8453726.

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Real-time prediction of vehicle trajectory at unsignalized intersections is important for real-time traffic conflict detection and early warning to improve traffic safety at unsignalized intersections. In this study, we propose a robust real-time prediction method for turning movements and vehicle trajectories using deep neural networks. Firstly, a vision-based vehicle trajectory extraction system is developed to collect vehicle trajectories and their left-turn, go straight, and right-turn labels to train turning recognition models and multilayer LSTM deep neural networks for the prediction ta

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Maia, Mateus, Jonatha S. Pimentel, Ivalbert S. Pereira, João Gondim, Marcos E. Barreto, and Anderson Ara. "Convolutional Support Vector Models: Prediction of Coronavirus Disease Using Chest X-rays." Information 11, no. 12 (2020): 548. http://dx.doi.org/10.3390/info11120548.

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The disease caused by the new coronavirus (COVID-19) has been plaguing the world for months and the number of cases are growing more rapidly as the days go by. Therefore, finding a way to identify who has the causative virus is impressive, in order to find a way to stop its proliferation. In this paper, a complete and applied study of convolutional support machines will be presented to classify patients infected with COVID-19 using X-ray data and comparing them with traditional convolutional neural network (CNN). Based on the fitted models, it was possible to observe that the convolutional sup

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Nakai, Teruhisa. "An optimal stopping problem in the excavation of archaeological remains." Journal of Applied Probability 28, no. 4 (1991): 924–29. http://dx.doi.org/10.2307/3214698.

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In the excavation of archaeological remains of high value, a search tool with low cost can be used at first, but if we reach a stratum which is very likely to contain valuable material we must use a search tool with high efficiency to reduce the risk of destruction of the remains even if this is more expensive. Which tool should we use at each time? Furthermore, if the search costs too much in comparison with the reward of detection, it is not profitable to go on searching for ever. When should we stop the search? We answer these questions for continuous and discrete models.

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Nakai, Teruhisa. "An optimal stopping problem in the excavation of archaeological remains." Journal of Applied Probability 28, no. 04 (1991): 924–29. http://dx.doi.org/10.1017/s0021900200042868.

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In the excavation of archaeological remains of high value, a search tool with low cost can be used at first, but if we reach a stratum which is very likely to contain valuable material we must use a search tool with high efficiency to reduce the risk of destruction of the remains even if this is more expensive. Which tool should we use at each time? Furthermore, if the search costs too much in comparison with the reward of detection, it is not profitable to go on searching for ever. When should we stop the search? We answer these questions for continuous and discrete models.

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KUMAR, Kranti, Manoranjan PARIDA, and Vinod Kumar KATIYAR. "Road Traffic Noise Prediction with Neural Networks - A Review." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 2, no. 1 (2011): 29–37. http://dx.doi.org/10.11121/ijocta.01.2012.0059.

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This paper aims to summarize the findings of research concerning the application of neural networks in traffic noise prediction. Noise is an environmental agent, regarded as a stressful stimulus. Noise exposure causes changes at different levels in living beings, such as the cardiovascular, endocrine and nervous system. Study of traffic noise prediction models began in 1950s to predict a single vehicle sound pressure level at the road side. After that, several traffic noise prediction models such as FHWA, CORTN, STOP and GO, MITHRA, ASJ etc. were developed depending upon various parameters and

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Briani, Maya, Emiliano Cristiani, and Paolo Ranut. "Macroscopic and Multi-Scale Models for Multi-Class Vehicular Dynamics with Uneven Space Occupancy: A Case Study." Axioms 10, no. 2 (2021): 102. http://dx.doi.org/10.3390/axioms10020102.

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In this paper, we propose two models describing the dynamics of heavy and light vehicles on a road network, taking into account the interactions between the two classes. The models are tailored for two-lane highways where heavy vehicles cannot overtake. This means that heavy vehicles cannot saturate the whole road space, while light vehicles can. In these conditions, the creeping phenomenon can appear, i.e., one class of vehicles can proceed even if the other class has reached the maximal density. The first model we propose couples two first-order macroscopic LWR models, while the second model

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Zhu, Kangli, Jiantao Bi, Jianjun Wu, and Shubin Li. "Effects of speed bottleneck on traffic flow with feedback control signal." Modern Physics Letters B 30, no. 25 (2016): 1650323. http://dx.doi.org/10.1142/s0217984916503231.

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Various car-following models (CMs) have been developed to capture the complex characteristics of microscopic traffic flow, among which the coupled map CM can better reveal and reflect various phenomena of practical traffic flow. Capacity change at bottleneck contributes to high-density traffic flow upstream the bottleneck and contains very complex dynamic behavior. In this paper, we analyze the effect of speed bottleneck on the spatial-temporal evolution characteristics of traffic flow, and propose a method to reduce traffic congestion with the feedback control signal based on CM. Simulation r

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Huma Rauf, Huma Sikandar, and Muhammad Umar. "Transport emission models: A bibliometric and content analysis." Journal of Public Value and Administrative Insight 5, no. 2 (2022): 395–423. http://dx.doi.org/10.31580/jpvai.v5i2.2530.

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Environment deterioration and subsequent climate change require the accountability of each contributor. Pollutants produced from fossil fuel in the transport sector is measured using emission models and this paper offers a Bibliometric analysis of these models from 1990-2020 of previous literature supported with the content analysis done in two tiers; review of the most cited research work of last ten years and the evolving research themes from recently published articles of last five years. From Bibliometric analysis, we identified top authors, institutions and journals, co-occurrence analysi

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Ray, Supriya, Pierre Pouget, and Jeffrey D. Schall. "Functional Distinction Between Visuomovement and Movement Neurons in Macaque Frontal Eye Field During Saccade Countermanding." Journal of Neurophysiology 102, no. 6 (2009): 3091–100. http://dx.doi.org/10.1152/jn.00270.2009.

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In the previous studies on the neural control of saccade initiation using the countermanding paradigm, movement and visuomovement neurons in the frontal eye field were grouped as movement-related neurons. The activity of both types of neurons was modulated when a saccade was inhibited in response to a stop signal, and this modulation occurred early enough to contribute to the control of the saccade initiation. We now report a functional difference between these two classes of neurons when saccades are produced. Movement neurons exhibited a progressive accumulation of discharge rate following t

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Yin, Derek, and Tony Z. Qiu. "Compatibility analysis of macroscopic and microscopic traffic simulation modeling." Canadian Journal of Civil Engineering 40, no. 7 (2013): 613–22. http://dx.doi.org/10.1139/cjce-2012-0104.

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To implement model predictive traffic control to reduce congestion, traffic state variables such as flow, speed, and density need to be accurately predicted with real-time measurements. To evaluate the accuracy of online prediction of a macroscopic traffic model, this paper compares the predicted flow, density, and speed from a macroscopic simulation model with those from a microscopic simulation model, using METANET and VISSIM respectively, on a section of urban freeway. Three levels of traffic demands and seven different time step lengths in macroscopic simulation were applied to evaluate th

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Kang, Min-Wook, Moynur Rahman, and Joyoung Lee. "Determination and Utilization of Dilemma Zone Length and Location for Safety Assessment of Rural High-Speed Signalized Intersections." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 4 (2020): 272–80. http://dx.doi.org/10.1177/0361198120911929.

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The objective of the present study is to see how the dilemma zone length and location are related to intersection safety at rural high-speed signalized intersections. For that, dilemma zones at 30 rural signalized intersection approaches where similar traffic operations and land-use conditions are present were identified, and traffic conflicts associated with the dilemma zones were investigated. Drivers’ stop or go behaviors as well as vehicle dynamics (e.g., vehicle speeds and locations) during the yellow and red clearance intervals were collected and analyzed to determine the dilemma zone le

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Shi, Zhongke, Wenhuan Ai, and Dawei Liu. "An Improved Macro Model of Traffic Flow with the Consideration of Ramps and Numerical Tests." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/136451.

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We present an improved macro model for traffic flow based on the existing models. The equilibrium point equation of the model is obtained. The stop-and-go traffic phenomenon is described in phase plane and the relationship between traffic jams and system instability is clearly shown in the phase plane diagrams. Using the improved model, some traffic phenomena on a highway with ramps are found in this paper. The numerical simulation is carried out to investigate various nonlinear traffic phenomena with a single ramp generated by different initial densities and vehicle generation rates. Accordin

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Jamieson, R. A., C. Beaumont, C. J. Warren, and M. H. Nguyen. "The Grenville Orogen explained? Applications and limitations of integrating numerical models with geological and geophysical dataThis article is one of a series of papers published in this Special Issue on the theme Lithoprobe — parameters, processes, and the evolution of a continent." Canadian Journal of Earth Sciences 47, no. 4 (2010): 517–39. http://dx.doi.org/10.1139/e09-070.

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Numerical models offer powerful insights into tectonic processes, especially when their validity can be tested against geological and geophysical observations from natural orogenic belts. Here we explain some of the criteria for success in integrating orogenic models with data, using examples from the Grenville Orogen. Model designs must be simplified by comparison with nature to illuminate the first-order processes that control orogenic evolution, which limits the extent to which model results can reproduce geological observations. For the western Grenville Orogen, observed variations in geol

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Gusak, Andriy, A. O. Kovalchuk, and King Ning Tu. "Diffusion in Point Contact Reaction." Defect and Diffusion Forum 309-310 (March 2011): 143–48. http://dx.doi.org/10.4028/www.scientific.net/ddf.309-310.143.

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Recently) the point contact reactions between silicon nanowires (covered by natural oxide) and nanowires or nanodots of metals (nickel, cobalt, platinum) were discovered and studied. These reactions have at least three remarkable characteristics: (1) the reaction product phase is quite different from thin film or bulk reactions (for example, in Ni-Si reaction the appearing phase is Ni1Si1 or Ni1Si2, depending on the orientation of Si, instead of common Ni2Si phase); (2) Phase is formed not in the contact zone but, instead, near the wire tip or between two point contacts; (3) Subsequent phase g

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Salwa, Athiyah S. S., and Sry Ratna Dewi. "Strengthening Students’ Motivation and Confidence to Achieve Learning Goals in Blended Learning Method." IDEAS: Journal on English Language Teaching and Learning, Linguistics and Literature 9, no. 2 (2021): 296–309. http://dx.doi.org/10.24256/ideas.v9i2.2288.

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Pandemic outbreak today has changed any sectors including education, from their normal state into the condition we never expected before. From primary to higher education, the institutions are forced to change teaching and learning models into virtual since the Government tries to stop the spread of the virus by prohibiting face-to-face classes. Online learning has come like tsunami trends as the outbreak rose. It also happened in some vocational schools where students live in the dormitory. Initially, they conducted offline classes, but they were transferred to go home as the virus spread. In

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Jin, Wen-Long, and Yu Zhang. "Paramics Simulation of Periodic Oscillations Caused by Network Geometry." Transportation Research Record: Journal of the Transportation Research Board 1934, no. 1 (2005): 188–96. http://dx.doi.org/10.1177/0361198105193400120.

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Traffic oscillations such as stop-and-go waves in a traffic system can occur for a variety of reasons, such as instabilities. This paper describes a study of a type of periodic oscillations caused by network geometry with a microscopic simulation model, Paramics. With careful tuning in Paramics, periodic oscillations in which traffic states change periodically between a diverging junction and a merging junction are successfully simulated. The formation process is discussed in detail. The study suggests that, given an appropriate network structure and traffic conditions, the local oscillations

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Markovskaya, Elizaveta, Elena Smolina, Kolawole Shola Ojo, Igor Merzlikin, and Igor Pryadko. "Risk modeling in the aviation industry as a factor of sustainable development." E3S Web of Conferences 381 (2023): 02008. http://dx.doi.org/10.1051/e3sconf/202338102008.

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Research by leading economists has revealed that risks in the aviation industry affect the forecasting models of regional sustainable development. The current study is devoted to the development of approaches to risk assessment on the example of European airlines. This problem has become very problematic after several recent financial crises, when airlines around the world were going through difficult times, and dozens of them had to go bankrupt, receive financial assistance from governments or find their salvation in mergers or acquisitions with larger players in the market with the support o

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Ali, Akbar, Nasir Ayub, Muhammad Shiraz, Niamat Ullah, Abdullah Gani, and Muhammad Ahsan Qureshi. "Traffic Efficiency Models for Urban Traffic Management Using Mobile Crowd Sensing: A Survey." Sustainability 13, no. 23 (2021): 13068. http://dx.doi.org/10.3390/su132313068.

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The population is increasing rapidly, due to which the number of vehicles has increased, but the transportation system has not yet developed as development occurred in technologies. Currently, the lowest capacity and old infrastructure of roads do not support the amount of vehicles flow which cause traffic congestion. The purpose of this survey is to present the literature and propose such a realistic traffic efficiency model to collect vehicular traffic data without roadside sensor deployment and manage traffic dynamically. Today’s urban traffic congestion is one of the core problems to be so

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Rábová, Ivana. "Using UML and Petri nets for visualization of business document flow." Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis 60, no. 2 (2012): 299–306. http://dx.doi.org/10.11118/actaun201260020299.

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The article deals with two principles of business workflow modeling, Petri nets and UML notation, that are the acceptable approaches to business modeling and can be used also for business documents workflow. The special type of Petri nets, WF-nets and UML activity diagrams are used in this article and both modeling ways are presented on the concrete business workflow and then there are presented and specified their advantage and disadvantage for business documents flows. At beginning it is explained the word workflow in context business documents, its features, principles and using in business

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Li, Jia, Gui Yu Lin, and Qiu Fang Xia. "Research on the Establishing Model Method of Engine Eternal Characteristic Curve Based on F Distribution." Advanced Materials Research 971-973 (June 2014): 684–87. http://dx.doi.org/10.4028/www.scientific.net/amr.971-973.684.

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The external characteristic curve of engine is the basis of choosing engine, matching and optimizing dynamic performance correctly. At present, most models of the external characteristic curve of engine are carried out by using polynomial regression equation for fitting the external characteristic curve of engine. In this paper, an establishing model method of the external characteristic curve of engine based on F distribution testing is proposed. F test with variance analysis is implemented for obtaining the difference of square sum of return difference between the former equation and the lat

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Ningbo, Cao, Wei Wei, Qu Zhaowei, Zhao Liying, and Bai Qiaowen. "Simulation of Pedestrian Crossing Behaviors at Unmarked Roadways Based on Social Force Model." Discrete Dynamics in Nature and Society 2017 (2017): 1–15. http://dx.doi.org/10.1155/2017/8741534.

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Limited pedestrian microcosmic simulation models focus on the interactions between pedestrians and vehicles at unmarked roadways. Pedestrians tend to head to the destinations directly through the shortest path. So, pedestrians have inclined trajectories pointing destinations. Few simulation models have been established to describe the mechanisms underlying the inclined trajectories when pedestrians cross unmarked roadways. To overcome these shortcomings, achieve solutions for optimal design features before implementation, and help to make the design more rational, the paper establishes a modif

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Al-Jameel, Hamid Athab. "DEVELOPING A NEW HYBRID SAFETY CAR-FOLLOWING MODEL." Kufa Journal of Engineering 5, no. 2 (2014): 47–60. http://dx.doi.org/10.30572/2018/kje/521327.

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For more than five decades, car-following models have been developed based on different theoretical backgrounds and conditions. The importance of these models belongs to their representation of longitudinal movement for any simulation model. Therefore, the accuracy of the car-following model is still the core of strength of any simulation model. For the purpose of this study, a hybrid car-following model has been developed to represent “go and stop” conditions. These conditions mostly occur in a weaving section. This model has been developed as a corner stone for a microscopic simulation model

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Tan, Chunxi, Ruijian Han, Rougang Ye, and Kani Chen. "Adaptive Learning Recommendation Strategy Based on Deep Q-learning." Applied Psychological Measurement 44, no. 4 (2019): 251–66. http://dx.doi.org/10.1177/0146621619858674.

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Personalized recommendation system has been widely adopted in E-learning field that is adaptive to each learner’s own learning pace. With full utilization of learning behavior data, psychometric assessment models keep track of the learner’s proficiency on knowledge points, and then, the well-designed recommendation strategy selects a sequence of actions to meet the objective of maximizing learner’s learning efficiency. This article proposes a novel adaptive recommendation strategy under the framework of reinforcement learning. The proposed strategy is realized by the deep Q-learning algorithms

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Przespolewski, Amanda, Elizabeth A. Griffiths, James E. Thompson, et al. "Phase 1/1b Trial of Talazoparib and Gemtuzumab Ozogamicin in Adult Patients with Relapsed or Refractory Acute Myeloid Leukemia." Blood 136, Supplement 1 (2020): 20–21. http://dx.doi.org/10.1182/blood-2020-141736.

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Background: Poly (ADP-ribose) polymerase (PARP) enzymes are involved in repair of single-strand DNA breaks through base excision repair pathways. Inhibitors of PARP are approved for the treatment of BRCA1/2-mutant malignancies where they result in compromise of dual DNA damage repair pathways, leading to induction of double-strand DNA breaks during replication and ultimately cell death. We have previously demonstrated (Portwood et al, ASH 2019 abstract) that PARP inhibitors can reduce in vitro acute myeloid leukemia (AML) growth and can synergistically enhance the anti-leukemic activity of ant

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Skandali, N., BJ Sahakian, TWR Robbins, and V. Voon. "#3071 Acute escitalopram administration increases premature responding as a function of reward magnitude in healthy male volunteers." Journal of Neurology, Neurosurgery & Psychiatry 92, no. 8 (2021): A8. http://dx.doi.org/10.1136/jnnp-2021-bnpa.20.

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ObjectivesImpulsivity is a multifaceted construct that involves a tendency to act prematurely with little foresight, reflection or control. Waiting impulsivity is one aspect of action impulsivity and is commonly studied in animals using tasks such as the 5-choice serial reaction time task (5CSRTT).1 It is neurochemically distinct from motor response inhibition defined as the ability to restrain or cancel a pre-potent motor response and measured with no-go and stop-signal tasks respectively.1 Serotonin modulates waiting impulsivity as decreased serotonergic transmission promotes premature respo

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Xiao, Lin, Meng Wang, and Bart van Arem. "Realistic Car-Following Models for Microscopic Simulation of Adaptive and Cooperative Adaptive Cruise Control Vehicles." Transportation Research Record: Journal of the Transportation Research Board 2623, no. 1 (2017): 1–9. http://dx.doi.org/10.3141/2623-01.

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Adaptive cruise control (ACC) and cooperative adaptive cruise control (CACC) are important technologies for the achievement of vehicle automation, and their effect on traffic systems generally is evaluated with microscopic traffic simulations. A successful simulation requires realistic vehicle behavior and minimal vehicle collisions. However, most existing ACC-CACC simulation studies used simplified models that were not based on real vehicle response. The studies rarely addressed collision avoidance in the simulation. The study presented in this paper developed a realistic and collision-free c

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Song, Zhijin, Huizi Wang, Jian Sun, and Ye Tian. "Experimental Findings with VISSIM and TransModeler for Evaluating Environmental and Safety Impacts using Micro-Simulations." Transportation Research Record: Journal of the Transportation Research Board 2674, no. 8 (2020): 566–80. http://dx.doi.org/10.1177/0361198120925077.

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Micro-simulation packages provide an efficient and systematic approach to depicting traffic dynamics. Nonetheless, many of these models used by the micro-simulation packages are only calibrated with respect to observed traffic indicators such as average speed, traffic count, and so forth, while omitting non-traffic indicators. This paper aims to investigate the performance of VISSIM and TransModeler when depicting non-traffic indicators such as fuel consumption, emissions, and safety. A model was first calibrated for traffic indicators based on Next Generation SIMulation (NGSIM) trajectories.

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