Estimation of differential code bias and ionospheric TEC based on the SUMT correction method by LIAO Siming, SHANG Junna, SU Mingkun

“…Using dual-frequency observation data from six International GNSS Service (IGS) network stations, a regional ionospheric VTEC model was established, and the satellite inter-frequency DCB for one month were estimated. …”
Get full text

Exploring Structural Characteristics of Lattices in Real World by Yu Chen, Jinguo You, Benyuan Zou, Guoyu Gan, Ting Zhang, Lianyin Jia

“…There are two important models for data analysis and knowledge system: data cube lattices and concept lattices. …”
Get full text

Investigating the knowledge and attitude of mothers with teenagers toward human papillomavirus vaccine injection by Leila Shasti, Sayeda Zeinab Hoseinnezhad, Zohre Keshavarz, Maryam Najiabhary, Farangis Habibi, Zeinab Hamzegardeshi

“…Experiment and data analysis were done with SPSS version 26. Strobe checklist was also used to write the text of the article. …”
Get full text

Adaptability and phenotypic stability of sugarcane clones in the state of Mato Grosso do Sul using multi-information methodology by Clodomiro Nicácio do Nascimento Júnior, Leandro Escobar Dalarosa, Jéssica Maria dos Santos, Moacir Marreiro da Silva, Lívia Maria Chamma Davide, João Carlos Civieiro, Hermann Paulo Hoffmann, Amanda Gonçalves Guimarães

“…The design used was a block design with three replications in which six early maturing clones (G1, G2, G3, G4, G5 and G6) and two commercial varieties (G7 - RB855156 and G8 - RB966928) were evaluated in four environments (1 - Ivinhema, 2- Rio Brilhante, 3- Nova Andradina Fazenda “N.O.” and 4- Nova Andradina Fazenda “E”. The joint analysis of variance was obtained from the data. The adaptability and stability of the genotypes was evaluated using multi-information, which included 10 parameters, being: the general average, average potential in different environmental conditions, plasticity, measure of the relative contribution to the interaction, Annicchiarico recommendation index, percentage adaptability, stability percentage, J pattern of genotype response, champion pattern and centroid recommendation index. …”
Get full text

Health Monitoring of Carbon Fiber Reinforced Building Materials Based on Phase Unwrapping Algorithm by Min Yan, Jianjun Zhou, Shuai Guo, Yanlong Li

“…When constructing the model, deep convolutional neural network is used to effectively extract the features of carbon fiber reinforced building materials, and improve the analysis ability of the building materials monitoring model. …”
Get full text

Microplastics in drinking water. Efficiency of treatment and distribution of a drinking water cycle by R. Rodríguez-Barroso, A. Cruceira, M.D. Coello, J.M. Quiroga, A. Egea-Corbacho

“…In addition, sampling, analysis, and determination techniques are not standardized, making not only sampling complicated, but also the comparison and extrapolation of the data obtained with other studies. …”
Get full text

De novo assembly of the common bean transcriptome using short reads for the discovery of drought-responsive genes. by Jing Wu, Lanfen Wang, Long Li, Shumin Wang

“…However, the gene network that mediates plant responses to drought stress remains largely unknown in this species. …”
Get full text

Ground-Based Remote Sensing of Aerosol Properties over a Coastal Megacity of Pakistan by Salman Tariq, Zia Ul-Haq

“…In this paper, we have used relatively long-term Aerosol Robotic Network (AERONET) data during September 2006–August 2014 to analyze aerosol properties such as aerosol optical depth at 500 nm (AOD), Ångström exponent (440–870 nm) (AE), refractive index (RI), and asymmetry parameter over Karachi, a coastal megacity of Pakistan. …”
Get full text

What is changing in the treatment of acute coronary syndrome in the Russian Federation? by S. A. Boytsov, B. G. Alekyan, R. M. Shakhnovich, V. I. Ganyukov

“…The purpose of the publication is to demonstrate the trend in therapeutic approaches to the management of patients with ACS in 2020-2022. in Russia and analysis of their effectiveness. Quantitative and qualitative indicators of the treatment of patients with ACS for the presented analysis were obtained on the basis of monitoring data from the Russian Ministry of Health for 2018-2021. presented: Monitoring of measures to reduce mortality from coronary heart disease, letters of the Ministry of Health of Russia dated March 13, 2015 No. 17-6 / 10 / 1-177 and dated July 24, 2015 No. 17-9 / 10 / 2-4128, within which data collection carried out monthly, on the portal of the Federal State Budgetary Institution "TsNIIOIZ" of the Ministry of Health of Russia - Automated system for monitoring medical statistics and the register REGION-IM (Russian Register of Acute Myocardial Infarction) - a multicenter prospective observational cohort study for 2020-2022, organized by the Federal State Budgetary Institution "National Medical Research Center of Cardiology named after Academician E.I. …”
Get full text

Transformer-based Approach for Accurate Asteroid Spectra Taxonomy and Albedo Estimation by Yijun Tang, Yunxiao Jiang, Yuxiang Feng, Xiaoming Zhang, Xiaojun Jiang

“…We have developed a platform for asteroid spectral classification, albedo estimation, and composition analysis, which includes three types of neural networks based on the Transformer attention mechanism: one for spectral classification, achieving a four-class classification accuracy of 94.58% and an 11-class classification accuracy of 95.69%, a second one for albedo estimation, with an average absolute error of 0.0308 in S-type asteroid albedo estimation, and the third one for composition analysis, with a predicted spectral angular distance of only 0.0340 and an rms error of 0.1759 for the abundance of endmembers. …”
Get full text

Numerical Simulation of Low-Level Wind Shear Using CFD and LSTM Technology Based on the WRF Model by Zexin DONG, Shuoyan WU, Fang YE, Lijing CHEN, Yi LI, Chenbo SUN, Feng XU, Lei LIU

“…In an effort to elevate the precision of low-level wind shear forecasting， this paper amalgamates European Centre for Medium-Range Weather Forecasts （ECMWF） fifth-generation reanalysis data （ERA5） and National Centers for Environmental Prediction Final Operational Global Analysis （FNL） reanalysis data， high-resolution Advanced Spaceborne Thermal Emission and Reflection Radiometer Global Digital Elevation Model （ASTER GDEM） terrain data， and real-time observational data from Lanzhou Zhongchuan Airport.It employs the Weather Research and Forecasting Model （WRF）， WRF integrated with Computational Fluid Dynamics （CFD）， and Long Short-Term Memory （LSTM） neural network methods to simulate and analyze two wind shear events at Lanzhou Zhongchuan Airport on April 15-16， 2021.The findings reveal that： （1） within grids smaller than 1 kilometer utilizing Large Eddy Simulation （LES）， the WRF model demonstrates superior performance in wind speed simulation for individual stations， yet it falls short when compared to the WRF model combined with Computational Fluid Dynamics （CFD） models in simulating near-surface horizontal wind field wind speeds； （2） concerning the simulation of two low-level wind shears encountered during aircraft landing， both Weather Research and Forecasting Model - Large Eddy Simulation （WRF-LES） and Weather Research and Forecasting Model - Computational Fluid Dynamics （WRF-CFD） models are capable of simulating the first wind shear， however， the second appears to be influenced by the potentially lower wind speed data input into the models， with neither model achieving the threshold for wind speed difference， necessitating further validation in future work； （3） under low wind speed conditions （6 meters per second）， the LSTM-based single-variable wind speed prediction model maintains an average absolute error of approximately 0.59 meters per second， effectively capturing the nonlinear relationship of wind speed changes under various terrain and circulation background conditions.Despite being constrained by WRF errors and incomplete observational elements， multi-variable wind speed prediction can achieve wind speed forecasting with higher computational efficiency and generalization capabilities while ensuring that the average absolute percentage error is less than 6.60%.This paper not only verifies the differences between WRF-CFD and WRF-LES coupling schemes in wind field and low-level wind shear forecasting but also explores the feasibility and accuracy of LSTM-based wind speed prediction， aspiring to offer new perspectives and methods for enhancing wind field simulation accuracy and reducing the time required for detailed wind field simulation.…”
Get full text

Actual Truck Arrival Prediction at a Container Terminal with the Truck Appointment System Based on the Long Short-Term Memory and Transformer Model by Mengzhi Ma, Xianglong Li, Houming Fan, Li Qin, Liming Wei

“…The LSTM-Transformer model combines the advantages of LSTM in processing time dependencies and the high efficiency of the transformer in parsing complex data contexts, innovatively addressing the limitations of traditional models when faced with complex data. …”
Get full text

Towards Rabies Elimination in Pakistan: Barriers, Facilitators, and the Role of One Health by Anum Shaikh, Shifa Salman Habib, Ali Faisal Saleem, Naseem Salahuddin

Get full text

Redefining Urban Traffic Dynamics With TCN-FL Driven Traffic Prediction and Control Strategies by K. M. Karthick Raghunath, C. Rohith Bhat, Venkatesan Vinoth Kumar, Velmurugan Athiyoor Kannan, T. R. Mahesh, K. Manikandan, N. Krishnamoorthy

“…The system guarantees data privacy and utilizes decentralized information analysis using Federated Learning. …”
Get full text

DeepMethyGene: a deep-learning model to predict gene expression using DNA methylations by Yuyao Yan, Xinyi Chai, Jiajun Liu, Sijia Wang, Wenran Li, Tao Huang

“…Our model transforms methylation Beta values to M values for Gaussian distributed data optimization, dynamically adjusts the output channels according to input dimension, and implements residual blocks to mitigate the problem of gradient vanishing when training very deep networks. …”
Get full text

Estimation and evaluation of iron reserves in the eastern area of Eileh1 mine, Razavi Khorasan province by Hamid Esmati Daroneh, Maryam Gholamzadeh

“…All estimation methods require exploratory data analysis, and numerous statistical techniques can be employed to analyze this data. …”
Get full text

Occurrence of stroke in children and young adults in Indonesia: a multicenter private hospital study by Jeanne Leman, Veli Sungono, Yosua Timotius Haryono, Muhammad Adam Mudzakir, Dewi Lestari Rahmawati, Callistus Bruce Henfry Sulay, Gilbert Sterling Octavius

“…The 1-year occurrence was calculated, and the data analysis was performed using IBM SPSS Statistics ver. 26.0. …”
Get full text

A Dual-Camera Eye-Tracking Platform for Rapid Real-Time Diagnosis of Acute Delirium: A Pilot Study by Ahmed Al-Hindawi, Marcela Vizcaychipi, Yiannis Demiris

“…All recordings made with our platform were usable for analysis. We divided the collected data into training and validation cohorts based on the data originating center. …”
Get full text

Apple Detection via Near-Field MIMO-SAR Imaging: A Multi-Scale and Context-Aware Approach by Yuanping Shi, Yanheng Ma, Liang Geng

“…This research provides a beneficial reference and technical basis for using SAR data in fruit detection and yield estimation in precision agriculture.…”
Get full text

Influence of Clouds and Aerosols on Solar Irradiance and Application of Climate Indices in Its Monthly Forecast over China by Shuting Zhang, Xiaochun Wang

“…Based on the Clouds and the Earth’s Radiant Energy System (CERES) satellite data from 2001 to 2023 and the climate indices from the National Oceanic and Atmospheric Administration (NOAA), this study analyzes the solar irradiance over mainland China and the impacts of clouds and aerosols on it and constructs monthly forecasting models to analyze the influence of climate indices on irradiance forecasts. …”
Get full text