A Competitive Bilevel Programming Model for Green, CLSCs in Light of Government Incentives by Arsalan Rahmani, Meysam Hosseini, Amir Sahami

“…The objective function at both levels includes market capture profit, fixed and operating costs, and financial incentives. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…However, the crude oil market is significantly influenced by external, transient events, posing challenges in capturing price fluctuations’ complex dynamics and uncertainties. …”
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Video-based estimation of blood pressure. by Ananyananda Dasari, Laszlo A Jeni, Conrad S Tucker

“…The ubiquity of mobile phones and video-based capturing devices motivates the development of a non-contact blood pressure estimation method-Video-based Blood Pressure Estimation (V-BPE). …”
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Fault Diagnosis of Bearings with Adjusted Vibration Spectrum Images by Mingquan Qiu, Wei Li, Zhencai Zhu, Fan Jiang, Gongbo Zhou

“…Then, the spectrum is plotted and captured as a two-dimensional (2D) image with the optimized CF and image size. …”
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The Potentials and Limitations of Agent-Based Models for Urban Digital Twins: Insights From a Surveillance and Behavioral Nudging Simulation by Sarah Shtaierman, Catarina Fontes, Christoph Lütge

“…Additionally, predictions can be rendered and quickly implemented using actuators to transform physical environments and influence urban life. …”
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Interpreting convolutional neural networks' low-dimensional approximation to quantum spin systems by Yilong Ju, Shah Saad Alam, Jonathan Minoff, Fabio Anselmi, Han Pu, Ankit Patel

“…In this work, we use methodologies from information theory, group theory and machine learning, to elucidate how CNN captures relevant physics of quantum systems. We connect CNNs to a class of restricted maximum entropy (MaxEnt) and entangled plaquette correlator product state (EP-CPS) models that approximate symmetry constrained classical correlations between subsystems. …”
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Using EEG technology to enhance performance measurement in physical education by Zhaofeng Zhai, Zhaofeng Zhai, Lu Han, Wei Zhang

“…Current research methodologies in this domain primarily rely on behavioral and self-reported data, which ack the precision to capture the complex interplay between physical activity and cognitive-emotional outcomes. …”
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TRANSFORMATION OF PERSON AND SOCIETY IN THE ANTHROPOTECHNICAL TURN: EDUCATIONAL ASPECT by V. N. Vashkevich, O. V. Dobrodum

“…The anthropotechnical turn of modern socio-culture means the actualization of the dialectic of active and passive in the process of socialization and formation of a person in a modern society. …”
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Reduction of Structural Vibrations by Passive and Semiactively Controlled Friction Dampers by L. Gaul, J. Becker

“…Thereby, semiactive control concepts generally possess the advantage over active control in that the closed loop is intrinsically stable and that less energy is required for the actuation than in active control. In the chosen experimental implementation, a piezoelectric stack actuator is used to apply adjustable normal forces between a structure and an attached friction damper. …”
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Users’ experiences of park accessibility and attractiveness based on online review analytics by Abdelbaseer A. Mohamed, Jakub Kronenberg

“…While traditional surveys demand substantial resources, social media data present a cost-effective approach to capturing people’s perceptions. This study utilizes Google reviews to examine users’ sentiments regarding Cairo’s urban parks. …”
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Meta analysis of business valuation solutions – are AI based methods better? by Aljaž Herman, Damijan Mumel, Timotej Jagrič

“…However, no single method can capture all nuances, necessitating diverse approaches and acknowledging the subjective nature of valuations. …”
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Rethinking spatial-temporal contrastive learning for Urban traffic flow forecasting: multi-level augmentation framework by Lin Pan, Qianqian Ren, Zilong Li, Xingfeng Lv

“…However, most existing graph contrastive learning methods do not perform well in capturing local–global spatial dependencies or designing contrastive learning schemes for both spatial and temporal dimensions. …”
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Impact of irrelevant speech and non-speech sounds on serial recall of verbal and spatial items in children and adults by Larissa Leist, Thomas Lachmann, Maria Klatte

“…The findings indicate that both specific interference and attention capture may contribute to the ISE, with the impact of attention capture potentially decreasing with age.…”
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Modeling Surface Recombination at the p-Type Si/SiO2Interface via Dangling Bond Amphoteric Centers by Moustafa Y. Ghannam, Husain A. Kamal

“…It is found that the surface recombination via amphoteric centers having capture cross-sections larger for charged centers than for neutral centers is distinguished from Shockley-Read-Hall recombination by exhibiting two peaks rather than one peak when plotted versus surface potential. …”
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Ambulance Crash Characteristics in the US Defined by the Popular Press: A Retrospective Analysis by Teri L. Sanddal, Nels D. Sanddal, Nicolas Ward, Laura Stanley

“…No uniform national transportation or medical database captures all ambulance crashes in the United States. …”
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Relative Permeability of Porous Media with Nonuniform Pores by He Chen, Minghui Yang, Ke Chen, Chao Zhang

“…The results confirm the proposed model’s capacity in capturing the transport properties of various porous media. …”
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Refined feature enhancement network for object detection by Zonghui Li, Yongsheng Dong

“…However, due to the limitations of local receptive field, some existing object detection methods cannot effectively capture global information in feature extraction phases, and thus lead to unsatisfactory detection performance. …”
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JSTC: Travel Time Prediction with a Joint Spatial-Temporal Correlation Mechanism by Alfateh M. Tag Elsir, Alkilane Khaled, Pengfei Wang, Yanming Shen

“…First, we design a spatiotemporal correlation block that combines two modules: self-convolutional attention integrated with a temporal convolutional network (TCN) to capture the spatial correlations along with the temporal dependencies. …”
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Modeling and Simulation of Traffic Congestion for Mixed Traffic Flow with Connected Automated Vehicles: A Cell Transmission Model Approach by Yunxia Wu, Yalan Lin, Rong Hu, Zilan Wang, Bin Zhao, Zhihong Yao

“…Firstly, the Newell, adaptive cruise control (ACC), and cooperative adaptive cruise control (CACC) models are adopted to capture the car-following behavior of different vehicles. …”
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Short-Term Traffic Flow Prediction with Weather Conditions: Based on Deep Learning Algorithms and Data Fusion by Yue Hou, Zhiyuan Deng, Hanke Cui

“…Then, RBF is used to capture the relation between weather disturbance and periodicity of traffic flow so as to gain another prediction. …”
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