Analyzing the interplay of urbanization, economic development, and seaborne trade: Revealing their connection to urban resilience in Saudi Arabia by AHM Mehbub Anwar, Nourah Alhosain, Yagyavalk Bhatt

“…Subsequently, it employs the Autoregressive Distributed Lag (ARDL) and Error Correction Model (ECM) techniques to unravel short-term and long-term causal dynamics. …”
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The use of noninvasive measurements of intracranial pressure in patients with traumatic brain injury: a narrative review by Bárbara Caroline Dias Faria, Luiz Gustavo Guimarães Sacramento, André Vitor Rocha Queiroz, Fernanda de Andrade Dias Leite, Henrique Lacerda Lage Lopes de Oliveira, Thais Yuki Kimura, Rodrigo Moreira Faleiro

“…Furthermore, multimodal combination may reduce the error possibility related to each technique. Finally, ICPW showed good accuracy to ICP values, but this analysis included TBI and non-TBI patients in the same sample. …”
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Tracing socio-economic transformations and quality of life in peri-urban villages of Durgapur Municipal Corporation (India) during 2011–2023 by Subrata Haldar, Somnath Mandal, Subhasis Bhattacharya, Suman Paul

“…The study collected primary data and used satellite-driven data for constructing several indices like the Peri-Urban Development Index (PUDI), Peri-Urban Development Transition Index (PUDTI), Livelihood Diversity Index (LDI), and Quality of life (QoL). …”
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Comparison of Diffuse Reflectance and Diffuse Transmittance Vis/NIR Spectroscopy for Assessing Soluble Solids Content in Kiwifruit Coupled with Chemometrics by Yu Xia, Wei Zhang, Tianci Che, Jinghao Hu, Shangqiao Cao, Wenbo Liu, Jie Kang, Wei Tang, Hongbo Li

“…The results indicated that the spectral data acquired by the diffuse reflectance method, preprocessed using Savitzky–Golay smoothing and combined with competitive adaptive reweighted sampling (CARS), yielded a coefficient of determination (<i>R</i>²) of 0.98 for the prediction set, with a root-mean-square error (RMSE) of 0.66. …”
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Simultaneous determination of the amylose and amylopectin content of foxtail millet flour by hyperspectral imaging by Guoliang Wang, Min Liu, Hongtao Xue, Erhu Guo, Aiying Zhang

“…Results demonstrated that the key band extraction combined algorithm effectively reduced data dimension without compromising the accuracy of the prediction model. …”
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Forestry and economic growth in Ghana: evaluating the dynamics using the environmental Kuznets curve and adjusted net savings by Joseph Antwi Baafi, Kwame Acheampong, Michael Kwame Asiedu, Pearl Seyram Kumah

“…Design/methodology/approach – The study used secondary data from 1980 to 2023. It applied quantitative techniques, including regression, vector error correction model and multiple Granger causality to examine the impact of GDP growth, adjusted net savings (ANS) and other control variables on Ghana’s deforestation rate. …”
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Wideband Reflectarray Antennas in the Microwave Range by L. М. Liubina, S. V. Ballandovich, G. A. Kostikov, Yu. G. Antonov

“…Despite a significant number of studies devoted to methods of extending the operating frequency band, it is of interest to analyze data from experimental studies of the developed reflectarrays, confirming the effectiveness of the considered approaches.Aim. …”
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Evaluation of landslide susceptibility in a hill city of Sikkim Himalaya with the perspective of hybrid modelling techniques by Harjeet Kaur, Srimanta Gupta, Surya Parkash, Raju Thapa, Arindam Gupta, G. C. Khanal

“…Landslide inventories are prepared based on LISS-IV (MX) satellite imagery, Google Earth and reported data of Geological Survey of India. Altogether 12 landslide conditioning factors viz. slope, elevation, curvature, aspect, land use/land cover, geology, lineament, rainfall, soil type, soil thickness, water regime and distance from road are considered as input data for geospatial modelling of landslide susceptibility. …”
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Research and application of a novel grey multivariable model in port scale prediction under the impact of Free Trade Zone by Yuyu Sun, Yuchen Zhang, Zhiguo Zhao

“…Design/methodology/approach – Considering the effects of data randomization, this paper proposes a novel self-adaptive grey multivariate prediction model, namely FDCGM(1,N). …”
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Atmospheric Turbulence Intensity Image Acquisition Method Based on Convolutional Neural Network by Yuan Mu, Liangping Zhou, Shiyong Shao, Zhiqiang Wang, Pei Tang, Zhiyuan Hu, Liwen Ye

“…Based on the experimental data, an analysis of the CASANet model subject to turbulence intensity perturbations, fluctuations in outgoing power, and fluctuations in beam quality at the outlet is carried out. …”
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Artificial intelligence in orthopedics: fundamentals, current applications, and future perspectives by Jian Song, Guang-Chao Wang, Si-Cheng Wang, Chong-Ru He, Ying-Ze Zhang, Xiao Chen, Jia-Can Su

“…Abstract Conventional diagnostic and therapeutic approaches in orthopedics are frequently time intensive and associated with elevated rates of diagnostic error, underscoring the urgent need for more efficient tools to improve the current situation. …”
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Enhancing building energy efficiency with thermal mass optimization by Yichen Han, Zhengyu He, Shuangdui Wu, Yuqiu Liu, Yingkai Lian, Chaohong Wang, Jiajia Feng, Zhengnan Zhou

“…To address these challenges, this study proposes a novel thermal mass arrangement strategy, derived from extensive real-world data analysis. Significant variations in component thermal behavior across different operational schedules were first identified from data collected in 76 rooms. …”
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Structural Parameters of the Thin Disk Population from Evolved Stars in the Solar Neighborhood by Sedanur İyisan, Selçuk Bilir, Özgecan Önal Taş, Olcay Plevne

“…This study investigates the structural parameters of the thin-disk population by analyzing the spatial distribution of evolved stars in the solar neighborhood. From the Gaia Data Release 3 database, about 39.1 million stars within 1 kpc and with relative parallax errors σ _ϖ / ϖ ≤ 0.10 were selected. …”
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Research of factors influencing the accuracy of determining of oil raw materials quality indicators based on the NMR pulse method by O. S. Agafonov, S. M. Prudnikov, T. A. Shakhrai, E. P. Victorova

“…The article presents the results of the study of factors affecting the accuracy of the results of measuring the mass fraction of oleic acid in sunflower seed oil using a pulsed NMR method. Analysis of the data obtained during the production tests has revealed factors that reduce the accuracy of the measurement results. …”
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Study on 2007–2021 Drought Trends in Basilicata Region Based on the AMSU-Based Soil Wetness Index by Raffaele Albano, Meriam Lahsaini, Arianna Mazzariello, Binh Pham-Duc, Teodosio Lacava

“…The accuracy of the SWI product was tested through a comparison with SM products derived by the Advanced SCATterometer (ASCAT) over the 2013–2016 period, while the Standardized Precipitation-Evapotranspiration Index (SPEI) was used to assess the relevance of the long-term achievements in terms of drought analysis. The results indicate a satisfactory accuracy of the SWI, with the mean correlation coefficient values with ASCAT higher than 0.7 and a mean normalized root mean square error less than 0.155. …”
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Neural network-based three-phase state estimation for unobservable low voltage grids by Andrea Bragantini, Andreas Sumper, Vinicius Gadelha, Samuel Galceran-Arellano

“…This work introduces a three-phase, four-wire neural network-based estimator tailored for asymmetrical and unbalanced LV grids coupled with a three-phase probabilistic power flow method to generate synthetic training sets in the absence of historical measurement data. Validation against real pilot data from previously published work demonstrates promising results in detecting voltage fluctuations, ultimately enhancing observability in LV systems. …”
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Is there a competitive advantage to using multivariate statistical or machine learning methods over the Bross formula in the hdPS framework for bias and variance estimation? by Mohammad Ehsanul Karim, Yang Lei

“…<h4>Purpose</h4>We aim to evaluate various proxy selection methods within the context of high-dimensional propensity score (hdPS) analysis. This study aimed to systematically evaluate and compare the performance of traditional statistical methods and machine learning approaches within the hdPS framework, focusing on key metrics such as bias, standard error (SE), and coverage, under various exposure and outcome prevalence scenarios.…”
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Steering-Angle Prediction and Controller Design Based on Improved YOLOv5 for Steering-by-Wire System by Cunliang Ye, Yunlong Wang, Yongfu Wang, Yan Liu

“…Firstly, given that most lane-line data sets consist of simulated images and lack diversity, a novel lane data set derived from real roads is manually created to train the proposed network model. …”
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Differential colour-ring loss among Dalmatian Pelican (Pelecanus crispus) colonies and its consequence on survival estimates by Anastasios Bounas, Giorgos Catsadorakis, Dionyssia Hatzilacou, Theodoros Naziridis, Jocelyn Champagnon, Alain J. Crivelli

“…The analysis of bird ringing data often comes with some potential sources of error and bias, as ring wear and/or loss could affect mark-recapture analyses and produce erroneous estimates of survival. …”
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Rapid Damage Assessment and Bayesian-Based Debris Prediction for Building Clusters Against Earthquakes by Xiaowei Zheng, Yaozu Hou, Jie Cheng, Shuai Xu, Wenming Wang

“…Secondly, the finite element (FE) method and discrete element (DE) method are, respectively, used to generate the data pool of structural floor responses and debris width. …”
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