ECAE: An Efficient Certificateless Aggregate Signature Scheme Based on Elliptic Curves for NDN-IoT Environments by Cong Wang, Haoyu Wu, Yulong Gan, Rui Zhang, Maode Ma

“…As a data-centric next-generation network architecture, Named Data Networking (NDN) exhibits inherent compatibility with the distributed nature of the Internet of Things (IoT) through its name-based routing mechanism. …”
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A proportionately increased small and equal batch delivery under consignment stock agreement for a single vendor, multiple buyers supply chain system by Kehinde Adegbola, Abdulrakib Abdulrahman

“…Numerical example is given using data from an existing literature, results were compared, and the new distribution policy gives better financial savings in terms of cost over the equal shipment policy assumed in literature. …”
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SD-LSTM: A Dynamic Time Series Model for Predicting the Coupling Coordination of Smart Agro-Rural Development in China by Chunlin Xiong, Yilin Zhang, Weijie Wang

“…The entropy weight method and kernel density estimation are employed to evaluate indicator performance and capture dynamic distribution patterns. A coupling coordination model is used to analyze the spatio-temporal evolution of the interaction between the two systems, while a hybrid SD-LSTM (System Dynamics–Long Short-Term Memory) model forecasts coordination trends over the next six years. …”
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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

“…In conclusion, the model offers a robust, high-accuracy decision-support tool for promoting low-carbon agricultural development. …”
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Impact of a national tsetse control programme to eliminate Gambian sleeping sickness in Uganda: a spatiotemporal modelling study by Sophie Dunkley, Andrew Hope, Joshua Longbottom, Johan Esterhuizen, Michael J Lehane, TN Clement Mangwiro, Albert Mugenyi, Richard Selby, Inaki Tirados, Steve J Torr, Michelle C Stanton

“…We fitted a boosted regression tree (BRT) model assessing environmental suitability, which was used alongside Tiny Target data to fit a spatiotemporal geostatistical model predicting tsetse abundance across our study area (~16 000 km2). …”
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The Impacts of Monetary Policy Announcements and Derivatives Maturity on the Mexican Peso Exchange Rate Volatility: GARCH and OCHL Range Models by Magnolia Miriam Sosa Castro, Maria Alejandra Cabello Rosales, Edgar Ortiz Calisto

“…To do so, we first estimate volatility using four measures of range volatility (OCLH models) and three extensions of the GARCH family (GARCH, TARCH and EGARCH), assuming normal distribution, t-Student and GED. …”
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Combining fugacity and physiologically based toxicokinetic concepts in a mechanistic model describing the fate of lipophilic contaminants in lactating cows by Sylvain Lerch, Olivier Martin, Agnés Fournier, Isabelle Ortigues-Marty, Jérôme Henri

“…The model was fitted to toxicokinetic data from two dairy cow experiments for polychlorinated biphenyls, dibenzo-p-dioxins, and dibenzofurans. …”
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A New Model for Simulating the Imbibition of a Wetting-Phase Fluid in a Matrix-Fracture Dual Connectivity System by Xuewei Ning, Robert Ewing, Qinhong Hu, Qiming Wang, Xiaoming Zhang

“…By building a numerical model for simulating laboratory-scale experimental data, we performed imbibition tests on several fractured Barnett Shale samples having fractures either parallel (P) or transverse (T) to the bedding plane and used MATLAB to build a new numerical model by combining the imbibition process in fractures and the matrix using concepts from percolation theory. …”
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Consistency between a strain rate model and the ESHM20 earthquake rate forecast in Europe: insights for seismic hazard by B. Donniol Jouve, A. Socquet, C. Beauval, J. Piña Valdès, L. Danciu

“…We show that considering broader zones enhances the match between geodetic and seismic moment rate distributions. In zones where ESHM20 magnitude–frequency distributions are well-constrained (established on more than 30 complete events), the distributions of seismic and geodetic moments usually overlap significantly, suggesting the potential for integrating geodetic data into hazard models, even in regions with low deformation.…”
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Investments in Capital Asset at the Regions of Russia in 2019 by Yu. S. Pinkovetskaya

“…For 73 regions there were relatively low values of specific investment, the distribution of empirical data was modeled using the normal distribution function.Conclusion. …”
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Capturing Subgrid Cold Pool Dynamics With U‐Net: Insights From Large‐Eddy Simulation for Storm‐Resolving Modeling by Yi‐Chang Chen, Chien‐Ming Wu

“…Results show that the U‐Net models effectively capture cold pool characteristics, particularly their edges and intensity distribution at coarser scales. …”
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Ecological vulnerability assessment and driving force analysis of small watersheds in Hilly Regions using sensitivity-resilience-pressure modeling by Jing-tao Shi, Ge Gao, Jun-jian Liu, Yu-ge Jiang, Bo Li, Xiao-yan Hao, Jun-chao Zhang, Zhao-yi Li, Huan Sun

“…This study employed the sensitivity-resilience-pressure model, integrating various data sources, including regional background, hydro-meteorological data, field investigations, remote sensing analysis, and socio-economic data. …”
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Ultra-high-resolution modeling of ground-level ozone for long-term exposure risk assessment driven by GTR-transformer by Jiahuan Chen, Heng Dong, Zili Zhang, Sicong He

“…The model exhibits outstanding performance in multi-dimensional validation, achieving a coefficient of determination of up to 0.94 and a root mean square error as low as 7.59 μg/m3. …”
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Improving remote sensing dehazing quality through local hybrid correction and optimization of atmospheric attenuation model based on wavelength by Daihong Zhao, Kun Shi, Zheng Li, Zheng Li, Meixiang Chen

“…An effective dehazing technique and a precise atmospheric attenuation model are fundamental to acquiring real-time ground data with high fidelity. …”
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Thermochemical response of TiO2 upon heating with CaMg2 reductant: Experimental findings and theoretical modeling by Kyu Seok Lim, Hayk Nersisyan, Seul Ki Han, Kyoung-Tae Park, Hoyoung Suh, Jong Hyeon Lee

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Optimizing forensic file classification: enhancing SFCS with βk hyperparameter tuning by D. Paul Joseph, Viswanathan Perumal

“…However, low, high, or incorrect values of α lead to topic sparsity, model overfitting, and suboptimal topic distribution. …”
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Application of flexible parametric cure model in determination of effective factors on the technique of survival peritoneal dialysis patients in adults of Iran. by Maryam Karimi Ghahfarokhi, Mehdi Yaseri, Mostafa Hosseini, Fatemeh Masaebi

“…This study presents the application of flexible parametric cure models, which enhance fit and interpretability by accommodating various survival distributions and allowing for the estimation of the cured fraction in diverse populations. …”
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An Operational Status Assessment Model for SF₆ High-Voltage Circuit Breakers Based on IAR-BTR by Ningfang Wang, Yujia Wang, Yifei Zhang, Ci Tang, Chenhao Sun

“…To improve the accuracy of these rules, the filtering thresholds and association metrics are refined based on seasonal distribution and the importance of time periods. This allows for the identification of spatiotemporally non-stationary factors that are strongly correlated with circuit breaker failures in low-probability seasonal conditions. …”
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Machine learning-based diagnostic model of lymphatics-associated genes for new therapeutic target analysis in intervertebral disc degeneration by Maoqiang Lin, Maoqiang Lin, Shaolong Li, Yabin Wang, Yabin Wang, Guan Zheng, Guan Zheng, Fukang Hu, Fukang Hu, Qiang Zhang, Qiang Zhang, Pengjie Song, Haiyu Zhou, Haiyu Zhou

“…BackgroundLow back pain resulting from intervertebral disc degeneration (IVDD) represents a significant global social problem. …”
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Assessing the global burden of interstitial lung disease and pulmonary sarcoidosis using multiple statistical models: analysis and future projections by Luna Zhao, Yue Zhou, Yun Jia, Lang Wang, Ye Liu, Guizhen Lv, Yihao Zhang, Jinyang Li, Junfeng Ren, Hongzheng Liu, Yufeng Zhang, Ning Wang, Wenwen Zhang, Wenqiang Mo, Jiaqi Liu, Yilin Wang, Junhao Ma, Chao Wu, Dong Liu, GBD Collaborator

“…Strengthening healthcare infrastructure in low-SDI regions and integrating advanced diagnostic technologies are crucial for reducing future disease burdens.…”
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