An Automatic Recognition Method of Microseismic Signals Based on S Transformation and Improved Gaussian Mixture Model by Kaikai Wang, Chun’an Tang, Ke Ma, Xintang Wang, Qiang Li

“…The identification accuracy is as high as 94%, and its recognition effect is superior to other recognition models (such as traditional Gaussian Mixture Model based on Expectation-Maximum (EM-GMM), Backpropagation (BP) neural network, Random Forests (RF), Bayes (Bayes) methods, and Logistic Regression (LR) method). …”
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Permanence for a Delayed Nonautonomous SIR Epidemic Model with Density-Dependent Birth Rate by Li Yingke, Chen Liang, Wang Kai

“…Based on some well-known SIR models, a revised nonautonomous SIR epidemic model with distributed delay and density-dependent birth rate was considered. …”
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C2C Startup Model of Balinese Ceremony Ticketing System in Ubud Bali by Ni Wayan Sumartini Saraswati, I Wayan Dharma Suryawan, Eddy Hartono

“…This study aims to develop a C2C e-commerce model that involves klian adat and tourists directly selling tickets for traditional and religious ceremonies in Singakerta Village, Ubud District. …”
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How the EU’s Eastern Enlargement Changed the German Productive Model. The Case of the Automotive industry by Martin Krzywdzinski

“…What impact did the Eastern Enlargement of the European Union have on the productive models and labor relations in the German automotive industry? …”
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ESG IN THE REAL ESTATE VALUATIONS. A PORTFOLIO SELECTION MODEL FOR ENERGY RETROFIT PROGRAMS by Francesco Tajani, Francesco Sica, Carola Clemente, Eugenio Arbizzani

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The Clinicians’ Guide to Large Language Models: A General Perspective With a Focus on Hallucinations by Dimitri Roustan, François Bastardot

“… Large language models (LLMs) are artificial intelligence tools that have the prospect of profoundly changing how we practice all aspects of medicine. …”
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An Empirical Path-Loss Model for Wireless Channels in Indoor Short-Range Office Environment by Ye Wang, Wen-jun Lu, Hong-bo Zhu

“…A novel empirical path-loss model for wireless indoor short-range office environment at 4.3–7.3 GHz band is presented. …”
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Mechanical Constitutive and Seepage Theoretical Model of Water Storage Media Based on Fractional Derivative by Lujun Wang, Yang Wu, Xiaoqian Zhu, Peng Li, Zhiguo Cao, Huan Yang

“…The mechanical behavior of the broken rock mass is described by Hooke’s law of linear elasticity, and the deformation characteristics of the space among the rock masses are represented by a nonlinear elastic constitutive model. The nonlinear stress-strain constitutive model of the water storage media is established by combining Hooke’s law and the fractional derivative stress-strain model. …”
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Cooperative behavior in a jump diffusion model for a simple network of spiking neurons by Roberta Sirovich, Laura Sacerdote, Alessandro E. P. Villa

“…In this study we analyze the ISI sequence --thespike train-- generated by a simple network of neurons whose outputactivity is modeled by a jump-diffusion process. We prove that,when specific ranges of the involved parameters are chosen, it is possible toobserve multimodal ISI distributions which reveal that the modelednetwork fires with more than one single preferred time interval.Furthermore, the system exhibits resonance behavior, withmodulation of the spike timings by the noise intensity. …”
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Impact of Personal Protection Habits on the Spread of Pandemics: Insights from an Agent-Based Model by Lindsay Álvarez-Pomar, Sergio Rojas-Galeano

“…We extended an agent-based COVID-19 epidemic model in a simulated community to incorporate the mechanisms of these aforementioned personal care habits and measure their incidence in person-to-person transmission. …”
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Research on the Disease Intelligent Diagnosis Model Based on Linguistic Truth-Valued Concept Lattice by Li Yang, Yuhui Wang, Haixia Li

“…In this paper, we continue to study the linguistic truth-valued concept lattice and apply it to the disease intelligent diagnosis by building an intelligent model to directly handle natural language. The theoretical bases of this model are the classical concept lattice and the lattice implication algebra with natural language. …”
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Indoor Deterministic Simulations and Statistical Modeling at Sub-THz Frequencies for Future Wireless Networks by Nektarios Moraitis, Konstantina S. Nikita

“…Furthermore, the spatial coherence of the channels’ attributes is also assessed and modeled using an exponential decaying sinusoid relationship. …”
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Influence of Fluid on Seal and Assembly of Pipeline Fittings Based on the Multiscale Finite Element Model by Yangyang Yan, Yaping Fan

“…The calculated results show that the multiscale model can accurately reflect the changes in the sealing area, and the high-pressure fluid can enhance the sealing reliability. …”
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A Three-Component Model Based on Macropropagation Phenomena Approach for Complex Building Scattering by Mehdi Ait-Ighil, Fernando Perez-Fontan, Joel Lemorton, Frederic Lacoste, Christophe Bourga, Michel Bousquet

“…In this context, this paper presents a new simplified model, called 3CM (3-Component Model) to reproduce building scattering in an efficient way which strongly improves computation performances. …”
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TMBocelot: an omnibus statistical control model optimizing the TMB thresholds with systematic measurement errors by Xin Lai, Shaoliang Wang, Xuanping Zhang, Xiaoyan Zhu, Yuqian Liu, Zhili Chang, Zhili Chang, Xiaonan Wang, Xiaonan Wang, Yang Shao, Yang Shao, Jiayin Wang, Yixuan Wang

“…Given the unavoidable errors with current technologies, it is essential to adopt modeling methods to determine the optimal TMB-positive threshold. …”
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A Laboratory‐Validated, Graph‐Based Flow and Transport Model for Naturally Fractured Media by Collin R. Sutton, Christopher Zahasky

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A MODEL BASED ON CLOUD COMPUTING IN A MULTI-AGENT BASED NEGOTIATION SYSTEM by Bùi Đức Dương

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Development of a Theoretical Delay Model for Heterogeneous and Less Lane-Disciplined Traffic Conditions by Abdhul Khadhir, Ashish Bhaskar, Lelitha Vanajakshi, Md. Mazharul Haque

“…In developing countries with limited or no availability of traffic sensors, theoretical delay models are the most commonly used tool to estimate control delay at intersections. …”
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Online Model Learning of Buildings Using Stochastic Hybrid Systems Based on Gaussian Processes by Hamzah Abdel-Aziz, Xenofon Koutsoukos

“…Dynamical models are essential for model-based control methodologies which allow smart buildings to operate autonomously in an energy and cost efficient manner. …”
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An Efficient Method for Solving Fractional Black-Scholes Model with Index and Exponential Decay Kernels by Saima Rashid, Saad Ihsan Butt, Zakia Hammouch, Ebenezer Bonyah

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