Comparison modeling of the number population who have been vaccined in East Java using the biresponse Fourier series estimator method with the trend function by Ira Yudistira, Naylur Rohman, M Fariz Fadillah Mardianto, Kuzairi

“…Model yang diperoleh dalam penelitian ini adalah model dengan basis sinus cosinus. …”
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Secure IoMT for Disease Prediction Empowered With Transfer Learning in Healthcare 5.0, the Concept and Case Study by Tahir Abbas Khan, Areej Fatima, Tariq Shahzad, Atta-Ur-Rahman, Khalid Alissa, Taher M. Ghazal, Mahmoud M. Al-Sakhnini, Sagheer Abbas, Muhammad Adnan Khan, Arfan Ahmed

“…Identifying human diseases remains a difficult process, even in the age of advanced information technology and the smart healthcare industry 5.0. …”
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Deep Mantle–Atmosphere Coupling and Carbonaceous Bombardment: Options for Biomolecule Formation on an Oxidized Early Earth by Klaus Paschek, Thomas K. Henning, Karan Molaverdikhani, Yoshinori Miyazaki, Ben K. D. Pearce, Ralph E. Pudritz, Dmitry A. Semenov

“…Here, we perform a systematic study of potential sources of reducing gases on Hadean Earth and calculate the concentrations of prebiotic molecules in WLPs based on a comprehensive geophysical and atmospheric model. We find that in a reduced H _2 -dominated atmosphere, carbonaceous bombardment can produce enough HCN to reach maximum WLP concentrations of  ∼1–10 mM for nucleobases and, in the absence of seepage,  ∼10–100 μ M for ribose. …”
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Assimilating ESA CCI land surface temperature into the ORCHIDEE land surface model: insights from a multi-site study across Europe by L.-E. Olivera-Guerra, C. Ottlé, N. Raoult, P. Peylin

“…Notably, the performance for both LST and fluxes exhibits consistent stability over the years, comparable to using site-specific parameters, and indicates a significant improvement in the modelled fluxes. Future work will be focused on refining the utilization of the observation uncertainties provided by the ESA CCI-LST product (e.g. decomposed uncertainties and spatio-temporal variability) in the assimilation process.…”
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Synchronization of pulsed and continuous-wave IMPATT oscillators in the millimeter wavelength range. Part 1. Generator designs and a generalized model of their external signal sync... by Mykola Karushkin

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Drying kinetics of sunflower grains by Thaís A. de S. Smaniotto, Osvaldo Resende, Kelly A. de Sousa, Daniel E. C. de Oliveira, Rafael C. Campos

“…ABSTRACT The objectives of this study were to fit different mathematical models to experimental data of drying of sunflower grains, determine and evaluate the effective diffusion coefficient and obtain the activation energy for the process during the drying under various conditions of air. …”
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Influence of Qinba Mountains on summer precipitation in the North-South transition zone based on WRF simulation by Bin Wang, Yiru Yang, Peter Clift, Li Xing, Yurui Zhang, Hui Tang, Ting Sun, Chris Brierley, Wei Shang, Ying Cheng, Shuangshuang Li, Keqin Duan, Wenting Gao

“…However, the influence of the QBM on precipitation in NSTZ and its process are still unclear. To reveal the influence of the QBM on the NSTZ, this study conducted topographic sensitivity experiments for Qinling Mountians, Daba Mountians and their combined effects over the NSTZ using the Weather Research and Forecasting (WRF) high-resolution numerical model. …”
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ElectroCom61: A multiclass dataset for detection of electronic componentsMendeley Data by Md. Faiyaz Abdullah Sayeedi, Anas Mohammad Ishfaqul Muktadir Osmani, Taimur Rahman, Jannatul Ferdous Deepti, Raiyan Rahman, Salekul Islam

“…Additionally, we conducted minimal pre-processing to optimise model training and performance. …”
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Quantifying the Impact of Fertilizer-Induced Reactive Nitrogen Emissions on Surface Ozone Formation in China: Insights from FEST-C* and CMAQ Simulations by Mengduo Zhang, Xuelei Zhang, Chao Gao, Hongmei Zhao, Shichun Zhang, Shengjin Xie, Aijun Xiu

“…This study applied the enhanced process-based agroecological model (FEST-C*) coupled with the air quality (CMAQ) model to quantify cropland Nr emissions and assess their contributions to regional O₃ formation across China in June 2020. …”
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Automatic screening for posttraumatic stress disorder in early adolescents following the Ya’an earthquake using text mining techniques by Yuzhuo Yuan, Yuzhuo Yuan, Zhiyuan Liu, Wei Miao, Xuetao Tian

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Optimized AlexNet Pruning for Edge-Based Medical Diagnostics by Yasser A. Amer, Hassan I. Saleh, Omar A. Nasr

“…The reduced network effectively processes the PAD-UFES-20 dataset, distinguishing melanoma, a serious type of skin cancer, from benign skin lesions, while maintaining high classification accuracy. …”
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Comparative Analysis of Machine Learning and Deep Learning Models for Individual Tree Structure Segmentation Using Terrestrial LiDAR Point Cloud Data by Sangjin Lee, Woodam Sim, Yongkyu Lee, Jeongmook Park, Jintaek Kang, Jungsoo Lee

“…This study aims to segment individual tree structures (stem, crown, and ground) from terrestrial LiDAR-derived point cloud data (PCD) and to compare the segmentation accuracy between two models: XGBoost (machine learning) and PointNet++ (deep learning). …”
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Analysis of Water Vapor Transport Reduction in the Yarlung Tsangpo Grand Canyon Region： a Trajectory Tracking Approach by Dengxv ZHANG, Hongru YAN, Yunfei MIAO, Min ZHANG

“…The Yarlung Tsangpo River Grand Canyon region serves as a main water vapor entrance for the Tibetan plateau.However， the region has been experiencing a persistent decline in both water vapor convergence and precipitation since 1979， which has an important impact on the water storage over the Tibetan Plateau.In order to investigate the reasons behind this reduction in water vapor transport in the area， ERA5 hourly reanalysis data were utilized to drive the LAGRANTO model to derive the backwards water vapor transport trajectories in the region during the boreal summer （June to August） of typical dry and wet years， facilitating a comparative analysis of alterations in moisture flux along these trajectories.It was found that the water vapor sources primarily originating from four oceanic regions： the Bay of Bengal in the southern plateau， the Arabian Sea on the southwest side of the plateau， the Indian Ocean around south of the equator， and the South China Sea.The water vapor transportation in these regions is predominantly governed by the South Asian and Indian summer monsoons and influenced by the Somalia cross-equatorial jet.By comparing the characteristics of water vapor transport trajectories in dry and wet years， it is evident that trajectory patterns remain largely unchanged， with the exception of the South China Sea source.Furthermore， moisture flux along these trajectories diminishes as elevation increases， and the moisture loss during wet years consistently proves to be lower than that during dry years.Additionally， the trajectories originating from the Bay of Bengal source are supplemented by water vapor from the ocean surface， resulting in significant increased water vapor flux in wet years.This finding is supported by comparing the evaporation， precipitation， and circulation fields between dry and wet years.Ultimately， during wet years， the moisture flux reaching the boundaries of the Yarlung Tsangpo Grand Canyon region surpasses that of dry years， notably marked by a particularly significant increase in moisture entering through the southern boundary.This highlights that the depletion processes during water vapor transport， in addition to contributions from moisture sources and the influence of large-scale monsoonal circulation， play a critical role in determining the moisture equilibrium within the Yarlung Tsangpo Grand Canyon region.…”
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Estimation of Crude Protein Content in Revegetated Alpine Grassland Using Hyperspectral Data by Yanfu Bai, Shijie Zhou, Jingjing Wu, Haijun Zeng, Bingyu Luo, Mei Huang, Linyan Qi, Wenyan Li, Mani Shrestha, Abraham A. Degen, Zhanhuan Shang

“…In comparison with the <i>Kobresia</i> meadow, the predictive model for the actively restored grassland was more accurate, reaching an accuracy of over 60%. …”
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Concrete crack classification based on fourier image enhancement and convolutional neural network by Xiaoli Sun, Jun Yang, Wei Huang, Shuai Teng

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A Critical Evaluation of Intervention Studies for Reducing Sexism and a Suggestion for a Classification by Nihan Selin Soylu Konak, İbrahim Mert Teközel

“…According to this classification model, intervention studies addressing sexism can be classified into four basic dimensions: (1) intervention to the process of perceiving a stimulus containing sex information; (2) intervention to (implicitly or explicitly) the process of binding sex information to traits; (3) intervention to (explicit, subtle or implicit) sexist attitudes; and (4) intervention to sexist behavior. …”
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A Deep Learning-Based Approach for Predicting Michaelis Constants from Enzymatic Reactions by Yulong Li, Kai Wang

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Analysis and prediction of land use changes: the case study of coastal areas of Gilan province by Sahar Abdollahi, Hashem Dadashpoor

“…Land use changes and then modeling the transmission potential were explored using multilayer perceptron algorithm of artificial neural network using 13 independent variables and obtained 7 sub-models for modeling land use change for 2016 and then using Markov chain method, land use map for the year 2016 was predicted with a coefficient of Kappa 0.98. …”
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Synthetic Modeling of Polarized Dust Emission in Intermediate-mass YSOs. I. Constraining the Role of Iron Inclusions and Inelastic Relaxation on Grain Alignment with ALMA Polarizat... by Nguyen Chau Giang, V. J. M. Le Gouellec, Thiem Hoang, A. J. Maury, P. Hennebelle

“…Results will be post-processed with CASA to confront Atacama Large Millimeter/submillimeter Array (ALMA) polarimetric observations. …”
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Application of Optimization Algorithms in Voter Service Module Allocation by Edgar Jardón, Marcelo Romero, José-Raymundo Marcial-Romero

“…Allocation models are essential tools for optimally distributing client requests across multiple services under defined restrictions and objective functions. …”
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