Model of Organizational Structure for University Institutes Binding with the Venezuelan Socioeconomic Reality by Rafael Pertuz Belloso

“…The study population included 746 professors and administration from the Cabimas and Maracaibo Technological Universities. Data was collected using a questionnaire consisting of 54 items and analyzed using the percentage frequency distribution. …”
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Modelling of polypropylene fibre-matrix composites using finite element analysis

“…The ratio between matrix modulus and fibre modulus was important, as was the interfacial stress in reducing premature interfacial failure and increasing mechanical properties. The model demonstrated that with low fibre concentration, there were insufficient fibres to distribute the applied stress. …”
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Modeling the amplification of epidemic spread by individuals exposed to misinformation on social media by Matthew R. DeVerna, Francesco Pierri, Yong-Yeol Ahn, Santo Fortunato, Alessandro Flammini, Filippo Menczer

“…However, it is difficult to investigate the interaction between misinformation and epidemic outcomes due to the dearth of data-informed holistic epidemic models. Here, we employ an epidemic model that incorporates a large, mobility-informed physical contact network as well as the distribution of misinformed individuals across counties derived from social media data. …”
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Spatial Characteristics and Determinants of In-situ and Nearby Mobility of Floating Population: A New Exploration Based on the Seventh Census Data in Fujian Province by Zhang Dandan, Lin Liyue, Zhu Yu, Ke Wenqian

“…The reemergence of in situ and nearby population mobility is a new phenomenon in the current process of population mobility in China and is important in promoting the evolution of urbanization patterns and policy optimization. Based on data from the 7th census in Fujian Province in 2020, we first clarified the concepts of "in-situ mobility" and "nearby mobility." …”
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Model of advanced recording system for application in heat-assisted magnetic recording by Wasan Pantasri, Andrea Meo, Phanwadee Chureemart, Asanee Suntives, Kotchakorn Pituso, Roy W. Chantrell, Jessada Chureemart

“…In this work, we have developed a micromagnetic HAMR model with atomistic parameterization. To demonstrate the applicability of the developed model, it is employed to investigate the Write Current Assisted Percentage (WCAP) measurement which is characterized by the difference in laser current needed to erase a narrow data track with and without assistance of the magnetic field generated by the writer. …”
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Short-term photovoltaic power forecasting based on a new hybrid deep learning model incorporating transfer learning strategy by Tiandong Ma, Feng Li, Renlong Gao, Siyu Hu, Wenwen Ma

“…With the expansion of the scale of PV power plants and the popularization of distributed PV, this study proposes a multilayer PV power generation prediction model based on transfer learning to solve the problems of the lack of data on new PV bases and the low accuracy of PV power generation prediction. …”
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Predicting the spatial demand for public charging stations for EVs using multi-source big data: an example from jinan city, china by Qimeng Ren, Ming Sun

“…Abstract Under the pressure of carbon pollution and resource scarcity, electric vehicles (EVs) have gradually replaced fuel vehicles as a new trend of low-carbon transformation. However, public charging stations (PCS) face with problems such as insufficient quantity and unreasonable distribution. …”
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Statistical analysis of sizing features of dust generated under the mechanical metal-working by N. N. Azimova, E. N. Ladosha, S. N. Kholodova, D. S. Tsymbalov, O. V. Yatsenko

“…It was found that the simplest exponential distribution is best suited for a detailed analysis of the dust particle-size distribution based on the experimental data.This distribution enables reproduction of all the integral indicators provided by the instrumental measuring complex along with the graphical data.Discussion and Conclusions. …”
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Advancing Few-Shot Named Entity Recognition with Large Language Model by Yuhui Xiao, Jianjian Zou, Qun Yang

“…Specifically, we use the LLM to refine low-confidence predictions produced by the metric learning-based few-shot NER model, thus improving overall recognition accuracy. …”
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Semi-analytical solution of cohesive zone model for cement-based materials by Yong-Kang Hou, Shu-Jin Duan, Rui-Mei An, Xin-Yue Wang

“…A new method is proposed to determine the analytical solution of cohesive zone model based on the stress function of fracture specimen and the measurable fracture test data.…”
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Mesoscopic model of cycling trip energy expenditure based on operating modes by Fajar Ausri, Alexander Bigazzi

“…Cyclist physical exertion is largely ignored in quantitative travel analysis, partly due to a lack of appropriate tools. Microscopic models of second-by-second energy expenditure based on equations of motion are data intensive and cannot be applied to hypothetical routes (such as needed for route choice modelling). …”
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Comparative Sensitivity Analyses of Energy Consumption in Response to Average Speed Between Electric Vehicles and Conventional Vehicles: Case Study in Beijing, China by Xue Lei, Hongyu Lu, Pengfei Fan, Rui Liu, Songsong Li, Yizheng Wu, Guohua Song

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CFD Simulation of Hydrodynamic Properties of Perforated Triangular Corrugated Plate Filler Under Reduced Pressure by Yang QIN, Zheng-yu ZOU, Shi-sheng LI, Xiao-hong XIONG, Chang-da LI, Zhi-wei ZHANG, Qing-zhao LIU, Guo-bing LI

“…The proposed CFD model is first validated by comparing the simulation results with experimental data for pressure drop at different inlet gas velocities. …”
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Predictors of hospital brand trust and medical tourists’ satisfaction: A case of sarawak Malaysia by Noi Fook Tham, Mei Peng Low, Wai Mun Yeong

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Spatio-temporal Matrix Factorization Based Air Quality Inference by Keyong HU, Xiaolan GUO, Guoxiao LIU, Xin YANG, Xupeng WANG

“…By sharing spatio-temporal matrix factors with the air quality matrix, the similarity knowledge of spatial and temporal features is transferred into air quality inference to enhance its performance. The proposed model is evaluated using real data sources obtained in Beijing city. …”
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Study on the influence mechanism and correlation model of rockfall parameters on indentation morphology by LI Hao, WANG Dong-po, YAN Shuai-xing, LI Wei, CHEN Hui, HE Si-ming

“…To achieve this, a series of physical model tests of rockfall oblique impact on sand indentations were carried out. …”
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Probabilistic-based analysis for damaging features of fatigue strain loadings by M. F. Mod Yunoh, S. Abdullah, M. H. M. Saad, Z. M. Nopiah, M. Z. Nuawi, S. S. K. Singh

“…The fatigue damage based on all extracted segments is calculated using some significant strain-life models. Subsequently, the statistics-based Weibull distribution is applied to evaluate the fatigue damage extraction. …”
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An Intrusion Detection Model Based on Feature Selection and Improved One-Dimensional Convolutional Neural Network by Qingfeng Li, Bo Li, Linzhi Wen

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Statistical evaluation of creation and liquidation of organizations in Russia: sectoral and regional aspects by Yu. S. Pinkovetskaya

“…Modeling of values’ differentiation of specific weights of such organizations  in the total number  of the functioning organizations  was carried out with the use of functions of density of normal distribution.Results.  …”
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Depletion curve analysis and assessment of chemical indicators for pollution detection in Seraidi springs (Annaba, Algeria) by Salima Guechi, Laroussi Beloulou

“…The model shows a strong fit to the data, as indicated by an R2 value ranging from 0.62 to 0.98. …”
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