Environmental health in BIMSTEC: the roles of forestry, urbanization, and financial access using LCC theory, DKSE, and quantile regression by Mohammad Ridwan, Afsana Akther, Md. Ahsanul Tamim, Abdul Rahim Ridzuan, Miguel Angel Esquivias, Wisnu Wibowo

“…The Driscoll Kraay Standard Error (DKSE) method reveals a U-shaped connection between income and LCF, supporting hypothesis of Load Capacity Curve (LCC) in the BIMSTEC zone. …”
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Validity and reliability of two submaximal tests for estimating maximal oxygen consumption in adults by Vinicius Damasceno, Thiago Barbosa Lima, Tony Meireles Santos, Willemax dos Santos Gomes, Eduardo Zapaterra Campos

“…The Student’s t-test, ICC and typical error were used to test reliability. ANOVA and a graphical Bland-Altman analysis were used for validity. …”
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Simulation of Quantity and Quality of Saq Aquifer Using Artificial Intelligence and Hydraulic Models by Abdul Razzaq Ghumman, Ghufran Ahmed Pasha, Md. Shafiquzzaman, Afaq Ahmad, Afzal Ahmed, Riaz Akhtar Khan, Rashid Farooq

“…Nash-Sutcliffe Model Efficiency and Mean Square Error have been used for assessing the performance of models. …”
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Design and Parameter Optimization of Trajectory Correction Control Strategy for Air Duct Structure Projectile by Silin Cui, Xing Liu, Shoushan Jiang, Wei Wu

“…At the same time, the circular error probable (CEP) of the projectile after correction is reduced from 42.3 m to 4.6 m while the impact point dispersion is lowered. …”
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Mean-Field-Type Transformers by Hamidou Tembine, Manzoor Ahmed Khan, Issa Bamia

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Analysis of Settlement of Group Pile Foundation in Linear Viscoelastic Soil by Long Li, Yousheng Deng

“…Unfortunately, most research only considers elasto-plasticity settlement of piles or rheological settlement of soils. …”
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Deep learning based rapid X-ray fluorescence signal extraction and image reconstruction for preclinical benchtop X-ray fluorescence computed tomography applications by Amrit Kaphle, Sandun Jayarathna, Sang Hyun Cho

“…Abstract Recent research advances have resulted in an experimental benchtop X-ray fluorescence computed tomography (XFCT) system that likely meets the imaging dose/scan time constraints for benchtop XFCT imaging of live mice injected with gold nanoparticles (GNPs). …”
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Study of linear and nonlinear isotherm and kinetic parameters of hexavalent chromium adsorption onto reduced graphene oxide coated iron oxide by Selim Gürsoy, Nagehan Kübra Zeytinci, Buse Tuğba Zaman, Sezgin Bakırdere, Elif Öztürk Er

“…Furthermore, multiple error functions were employed to assess the validity of models. …”
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Informing Visual Display Design of Electronic Health Records: A Human Factors Cross-Industry Perspective by Zoe M. Pruitt, Jessica L. Howe, Lucy S. Bocknek, Arianna P. Milicia, Patricia A. Spaar, Seth Krevat, Raj M. Ratwani

“…# Background Despite their prevalence, poorly designed electronic health records (EHRs) are common, and research shows poor design consequences include clinician burnout, diagnostic error, and even patient harm. …”
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Non-contact physiological parameter detection based on the crested porcupine optimization by Jianli Pang, Anxue Huang, Qijie Xu, Lanfang Pang

“…After denoising, the average percentage error for respiratory rate extraction is 2.9 %, and for heartbeat rate extraction, it is 7.8 %. …”
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Energy consumption analysis and prediction in exercise training based on accelerometer sensors and deep learning by Zhangjian Guo, Tongling Wang, Shuxun Chi, Li Huang

“…The experimental results demonstrate that the optimized model achieves a Mean Squared Error (MSE) of 0.273, an R2 of 0.887, and a standard deviation of 0.046 on acceleration data, significantly outperforming comparison models such as Temporal Convolutional Network (TCN), Gated Recurrent Unit with Attention Mechanism (GRU-ATT), and Self-Supervised Transformer (SST). …”
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Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems by Van Hien Nguyen, Kyoung Kwan Ahn

“…Simulations and experiments confirm that our approach achieves a positional error below 3 mm, ensuring precise tracking and providing reliable data for operators. …”
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Magnitude and precision of absolute blood volume estimated during hemodialysis by Rammah Abohtyra, Tyrone Vincent, Daniel Schneditz

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Investment feasibility and optimization strategies of RFID technology in logistics field by Jianghan Han, Haotian Ai, Ruifeng Li, Xudong Deng, Yiyang Wu, Jian Wang, Zhijun Wei

“…The results demonstrated that the cargo tracking scheme enhanced the tracking accuracy to 98.7%, reduced the cargo circulation time by 22.1%, and significantly reduced the cargo circulation error rate. The path optimization scheme improved delivery efficiency by 23.5% and reduced transportation costs by 18.2% by reducing ineffective travel distance. …”
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Geospatial Analysis of COVID-19 Death Rate and Influencing Factors in the MENA Region by MUSTAFA SHEBANI ABOALYEM, Mohd Tahir Ismail

“…It identifies demographic, medical, and socioeconomic factors as key factors. The research suggests that hospital bed allocation, unemployment rate, and overall immunizations could be key factors influencing the death rate. …”
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Short-term effects of different wavelengths on axial length with induced optical defocus among emmetropes by S. Ullah, M. F. Umer, S. P. Chandran

“…Those without ocular or general health issues and no significant refractive error on retinoscopy were included. Axial length (AL) was measured using the IOL Master 800 after thorough eye and visual examinations. …”
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Effects of urban sprawl on land use change in the peripheral villages of Tehran metropolis (case study: Tehran-Damavand axis) by ِAshkan Mohammadi, Naser Shafiei Sabet, Alireza Shakiba

“…Therefore, this research is intended by look up and accurate analysis of the sprawl phenomenon, study the method and extent of land use change in the study area and reduces its adverse effects by providing scientific solutions. …”
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The ICEDORA study: clinical and demographic characteristics and treatment regimens of patients with HR+ HER2- locally advanced or metastatic breast cancer receiving CDK4/6 inhibito... by I. E. Khatkov, I. I. Andreyashkina, I. D. Trotsenko, O. N. Matveeva, V. A. Reznikov

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Cross-validation of methods for the quantitative determination of phenazepam and its active metabolite in human blood plasma at various extractions by A. I. Platova, I. I. Kuzmin, D. V. Ivaschenko, I. I. Miroshnichenko

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Predicting student self-efficacy in Muslim societies using machine learning algorithms by Mohammed Ba-Aoum, Mohammed Ba-Aoum, Mohammed Alrezq, Jyotishka Datta, Konstantinos P. Triantis

“…Despite its recognized importance, research on predictors of self-efficacy using machine learning models remains limited, particularly within Muslim societies. …”
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