Origin of Circulating Free DNA in Sepsis: Analysis of the CLP Mouse Model by Shigeto Hamaguchi, Yukihiro Akeda, Norihisa Yamamoto, Masafumi Seki, Kouji Yamamoto, Kazunori Oishi, Kazunori Tomono

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Cauchy–Logistic Unit Distribution: Properties and Application in Modeling Data Extremes by Vladica S. Stojanović, Tanja Jovanović Spasojević, Radica Bojičić, Brankica Pažun, Zlatko Langović

“…Therefore, the proposed stochastic distribution, named the Cauchy–logistic unit distribution, represents a stochastic model that may be suitable for modeling phenomena and processes with emphasized extreme values. …”
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Reconstruction of the Time-Dependent Volatility Function Using the Black–Scholes Model by Yuzi Jin, Jian Wang, Sangkwon Kim, Youngjin Heo, Changwoo Yoo, Youngrock Kim, Junseok Kim, Darae Jeong

“…We propose a simple and robust numerical algorithm to estimate a time-dependent volatility function from a set of market observations, using the Black–Scholes (BS) model. We employ a fully implicit finite difference method to solve the BS equation numerically. …”
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Threshold dynamics of a periodic SIR model with delay in an infected compartment by Zhenguo Bai

“…Threshold dynamics of epidemic models in periodic environmentsattract more attention. …”
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Development of Refined Electromagnetic Models of Reciprocating Electric Generators with Permanent Magnets by A. B. Menzhinski, A. N. Malashin, P. B. Menzhinski

Subjects: “…mathematical model…”
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Accuracy of Large Language Models for Infective Endocarditis Prophylaxis in Dental Procedures by Paak Rewthamrongsris, Jirayu Burapacheep, Vorapat Trachoo, Thantrira Porntaveetus

“…Inter-model comparisons utilised the Kruskal–Wallis test, followed by post-hoc pairwise comparisons using Prism 10 software. …”
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Using Elman Neural Network Model to Forecast and Analyze the Agricultural Economy by Yucong You

“…Secondly, this paper designs an efficient Elman neural network topology and sends the selected important data into the neural network for data learning and neural network parameter optimization, to achieve a more accurate agricultural economic forecasting model. Finally, a large number of experimental results show that the method based on the Elman neural network structure can overcome the shortcomings of traditional methods. …”
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Modeling the Smart Factory Manufacturing Products Characteristics: The Perspective of Energy Consumption by A.B.M. Salman Rahman, Myeongbae Lee, Jonghyun Lim, Yongyun Cho, Changsun Shin

“…It is a great chance to provide a technical boost to smart factories looking to reduce energy usage and produce more profit through the control and optimization modeling. It is tough to analyze energy usage and make accurate estimations of industrial energy consumption. …”
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Human–Structure System Coupled Vibration Test and Human Body Model by Xiaotong Chen, Yaofa Lin, Mao Ye, Liqin Wu

“…It is proposed that the single-human model and experimental results be extended to crowd–structure interactions.…”
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A New Model for Capturing the Spread of Computer Viruses on Complex-Networks by Chunming Zhang, Tianliang Feng, Yun Zhao, Guifeng Jiang

“…Based on complex network, this paper proposes a novel computer virus propagation model which is motivated by the traditional SEIRQ model. …”
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Dynamical Analysis of a Stochastic Predator-Prey Model with an Allee Effect by Feng Rao

“…We present and analyze a modified Holling type-II predator-prey model that includes some important factors such as Allee effect, density-dependence, and environmental noise. …”
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A Modified NM-PSO Method for Parameter Estimation Problems of Models by An Liu, Erwie Zahara, Ming-Ta Yang

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An sveir model for assessing potential impact of an imperfect anti-SARS vaccine by Abba B. Gumel, C. Connell McCluskey, James Watmough

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Data and Feature Reduction in Fuzzy Modeling through Particle Swarm Optimization by S. Sakinah S. Ahmad, Witold Pedrycz

“…The study is concerned with data and feature reduction in fuzzy modeling. As these reduction activities are advantageous to fuzzy models in terms of both the effectiveness of their construction and the interpretation of the resulting models, their realization deserves particular attention. …”
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An Overview of Application of Machine Learning Models in Urban Flood Simulation and Forecasting by CHEN Zeming, FANG Xuhong, LI Jiaye, WANG Mengyao, CHEN Aifang, YIN Ling

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Modeling, Design, and Implementation of a Cloud Workflow Engine Based on Aneka by Jiantao Zhou, Chaoxin Sun, Weina Fu, Jing Liu, Lei Jia, Hongyan Tan

“…This paper presents a Petri net-based model for cloud workflow which plays a key role in industry. …”
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The Effect of Pulse Vaccination and Treatment on SIR Epidemic Model with Media Impact by Zhi-Long He, Lin-Fei Nie

“…We propose a novel SIR epidemic dynamical control model with media impact, where the state dependent pulse vaccination and medication treatment control strategies are being introduced to prevent the spread of disease at different control threshold values. …”
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Using Clustering Methods in Multinomial Logit Model for Departure Time Choice by Shahriar Afandizadeh Zargari, Farshid Safari

“…Travellers have to make some decisions for each trip, and one of them is the choice of departure time. Discrete choice models have been employed as an approach to departure time modelling by many researchers. …”
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Heavy and Lightweight Deep Learning Models for Semantic Segmentation: A Survey by Cristina Carunta, Alina Carunta, Calin-Adrian Popa

Subjects: “…Complex deep learning models…”
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The Evaluation Model of Network QoS Based on Intelligent Water Droplets Algorithm by Fang Li, Yunlan Wang, Peng Li

“…In order to solve the problem of the user demands to the quality of service (QoS) of network, this paper provides a novel QoS evaluation model based on the intelligent water droplets (IWD) algorithm. …”
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