Early Desertification Risk in Advanced Economies: Summarizing Past, Present and Future Trends in Italy by Marco Maialetti, Rares Halbac-Cotoara-Zamfir, Ioannis Vardopoulos, Luca Salvati

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Impulse Response Mechanism of Agricultural Drought to Local Climate Factor at Different Time Scales in Karst Region by YU Huan, HE Zhonghua, GU Xiaolin, XU Mingjin, TAN Hongmei, YANG Shuping, YANG Qiuyun

“…The response mechanism of agricultural drought to various time scales of meteorological factors and soil moisture content was analyzed using pulse response and variance decomposition. [Results] (1) The agricultural drought was higher in the west and lower in the east, and gradually decreased from south to north; The agricultural drought is more severe in spring and summer than in autumn and winter. (2) The time required for the impulse response of each variable on the annual scale to reach the peak of SSI is Pre<E=W<P<SW<T, and the recovery period is Pre>W>T>E>P>SW. …”
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Optimizing GBM organoid construction with hydrogel-based models: GelMA-HAMA scaffold supports GBM organoids with clonal growth for drug screening by Min Zhou, Ke Yue, Jingjing Zhao, Shuhua Gong, Yutong Xie, Wenyu Wu, Zhenzhou Li, Shuo Wu, Zhengliang Gao, Huan Wang, Jianrong Guo

“…However, Matrigel, the most used extracellular matrix, is animal-derived with a complex composition and significant batch-to-batch variability, requiring further optimization for GBM organoid construction. …”
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Contribution of entropy analysis on three-dimensional Prandtl model under Hall and ion slip effects with generalized mass and heat fluxes via OHAM by Sana Akbar, Muhammad Sohail, Syed Tehseen Abbas, Abha Singh

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Compressive strength prediction of fly ash/slag-based geopolymer concrete using EBA-optimised chemistry-informed interpretable deep learning model by Yang Yu, Iman Munadhil Abbas Al-Damad, Stephen Foster, Ali Akbar Nezhad, Ailar Hajimohammadi

“…The model integrates key mix parameters such as material proportions, curing conditions, and the chemical composition of FA/GGBS binders, making it chemistry-informed. …”
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GIS-based modeling and analytical approaches for groundwater quality suitability for different purposes in the Egyptian Nile Valley, a case study in Wadi Qena by Hanaa A. Megahed, Abd El-Hay A. Farrag, Amira A. Mohamed, Mahmoud H. Darwish, Mohamed A. E. AbdelRahman, Heba El-Bagoury, Paola D’Antonio, Antonio Scopa, Mansour A. A. Saad

“…Chemical analysis of the major cations and anions was carried out at Assuit’s Regional Soil Fertility Laboratory. Maps of chemical variables are created using statistical tools by combining observations with interpolation models that can incorporate simple process relations. …”
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Study on the effects of initial stress and imperfect interface on static and dynamic problems in thermoelastic laminated plates by Yunying Zhou, Jiahuan Liu, Hong Mei, Dinggui Hou, Zhijie Yue, Yunxia Zhang

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A comparative analysis for crack identification in structural health monitoring: a focus on experimental crack length prediction with YUKI and POD-RBF by Zenzen, Roumaissa, Ayadi, Ayoub, Benaissa, Brahim, Belaidi, Idir, Sukic, Enes, Khatir, Tawfiq

“…Comparative evaluations with conventional optimisation algorithms, namely Cuckoo, Bat, and Particle Swarm Optimisation, reveal similar Mean Percentage Error values but with increased result variability, whereas Deep Artificial Neural Network models with varied hidden layer sizes.…”
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Coexisting predictors for undernutrition indices among under-five children in West Africa: application of a multilevel multivariate ordinal logistic regression model by Abebew Aklog Asmare, Awoke Seyoum Tegegne, Denekew Bitew Belay, Yitateku Adugna Agmas

“…Considering the impact of other predictors such as maternal, child, and socioeconomic variables, a multilevel multivariate partial proportional ordinal logistic regression model was conducted to analyze the relationship between stunting, wasting and underweight. …”
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Urban Resilience Amid Supply Chain Disruptions: A Causal and Cointegration-Based Risk Model for G-7 Cities Post-COVID-19 by Haibo Wang, Lutfu S. Sua

“…Using Granger causality tests and a factor-augmented vector autoregression (FAVAR) approach, the study examines complex time series and high-dimensional variables, focusing on urban-specific indicators such as the composite leading indicator (CLI) and business confidence indicator (BCI). …”
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ZIF-8 as Potential Pesticide Adsorbent Medium for Wastewater Treatment: The Case Study of Model Linuron Extraction Conditions Optimization via Design of Experiment by Nicola di Nicola, Mariacristina Di Pelino, Martina Foschi, Rosalba Passalacqua, Andrea Lazzarini, Fabrizio Ruggieri

“…The fitted quadratic regression model exhibited excellent predictive performance (R² = 0.909; Q² = 0.755), and analysis of variance (ANOVA) confirmed its significance (<i>p</i> < 0.001) with a non-significant lack of fit. …”
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The Effects of Land Use Mix on Urban Vitality: A Systemic Conceptualization and Mechanistic Exploration by Yuefei Zhuo, Hangang Hu, Guan Li

“…By integrating multi-source data (Baidu Maps, POI, and OSM) and employing OLS and geographically weighted regression (GWR) models, we unravel these systemic relationships. Key findings include the following: (1) LUM significantly enhances urban vitality, acting as a crucial urban system configuration for both daytime and nighttime activity. (2) The efficacy of LUM stems more from systemic interconnections—convenient access to adjacent spaces (proximity) and functional coordination among diverse land uses—than mere compositional diversity, emphasizing the importance of interrelated elements within the urban fabric. (3) The system’s response to LUM exhibits significant spatial and temporal heterogeneity; proximity’s impact is most variable, while diversity and coordination effects are more stable, underscoring the dynamic and context-dependent nature of these interactions. (4) System-adaptive strategies are crucial: newly developed urban areas benefit from foundational infrastructure and land use diversity (system inputs), while revitalizing older towns requires optimizing spatial accessibility and functional coordination (enhancing existing system linkages). …”
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Pricing strategies of Online Stores and its influence on Consumers’ buying decision. by Dr. Waqar Ahmad

“…It has a long-term impact on the company's revenue, earnings, and investments, and it is the central variable in its financial models. Pricing reveals how a company thinks and acts in relation to its rivals and the value it provides to its consumers. …”
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Bottom-up analysis for carbon emissions from passenger and freight transport sectors in Xi’an: a city-level study using MOVES and LMDI models by Ya’nan Bo, Liyuan Zhang, Jiahao Zhong, Wei Zhong, Pengyue Zhu

“…The MOVES model was utilized to evaluate the inter annual variability of carbon emissions from road transportation sources. …”
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Exploring the potentials of mango-orange leaf extract as an inhibitor on carbon steel in an acidic medium: Optimization, kinetics, and thermodynamics by Elijah Emeteveke Aghogho, Prosper Eguono Ovuoraye, Innocent Oseribho Oboh, Oluwafemi Osarhiemen Olayebi

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Constitutive Study of Limestone Damage in Karst Areas under Acidic Dry-Wet Cycles by ZHANG Yan, YUAN Pu-long, HUANG Lan-tao

“…By integrating the Weibull distribution function with a composite damage variable, a geometric damage model was established. …”
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Predicting early diagnosis of intensive care unit-acquired weakness in septic patients using critical ultrasound and biological markers by Ling Lei, Liang He, Tongjuan Zou, Jun Qiu, Yi Li, Ran Zhou, Yao Qin, Wanhong Yin

“…Logistic regression analysis was conducted for variable selection and nomogram model construction. …”
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Uncertainty analysis of bending response of flexoelectric nanocomposite plate by Gupta Madhur, Bansod Pritesh V., Gargama Heeralal, Kundalwal Shailesh I.

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The Effectiveness of Instruction Based on the Four-Component Instructional Design (4C-ID) Model on Meaningful Learning and Critical Thinking in Sixth-Grade Students of Ardabil by Nader Heidari Raziabad, Vahid Rahimzadeh, Ali Khaleghkhah

“…One class was assigned to be control group and the other to be the experimental group. The independent variable was instruction based on the 4C-ID model, while the dependent variables were meaningful learning and critical thinking. …”
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Predictive mathematical modeling of biomechanical behavior in all-on-4 implants design: effects of distal implant and occlusal load angulation using RSM based on FEA by Fahri Murat, Sema Nur Sevinç Gül, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy, Abdullah Tahir Şensoy

“…Finite Element Analysis (FEA) was integrated with Response Surface Methodology (RSM) to develop 15 simulation models based on a Central Composite Design, incorporating distal implant angulations of 15°, 30°, and 45°, and occlusal load directions in both sagittal and frontal planes (45°, 67.5°, and 90°). …”
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