Research on Spatial Distribution, Accessibility and Resource Equity of Compulsory Education Schools in Megacities: A Case Study of Wuhan by Wei Ping, Huang Jing, Yan Jiaqin, He Sanwei

“…This study uses Wuhan, a central Chinese megacity, as a case. Integrating Point of Interest data of primary and secondary schools, educational resources, road network information, this study uses GIS methodologies, such as the nearest neighbor index, coefficient of variation, kernel density analysis, service area network analysis, and an improved 2SFCA method to evaluate the spatial distribution characteristics of compulsory education resources in Wuhan and the accessibility and resource distribution equilibrium across districts. …”
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Improving agricultural commodity allocation and market regulation: a novel hybrid model based on dual decomposition and enhanced BiLSTM for price prediction by Lihua Zhang, Fushun Wang, Fushun Wang, Kejian Wang, Kejian Wang, Zhenxue He, Zhenxue He, Chen Chen, Chen Chen, Jiahao Liu, Jiahao Liu, Chao Wang, Chao Wang, Zhe Wang

“…This paper proposes a sustainable hybrid model SV-PSO-BiLSTM which integrates Seasonal-Trend decomposition procedure based on Loess (STL), Variational Mode Decomposition (VMD), Particle Swarm Optimization (PSO), and Bidirectional Long Short-Term Memory (BiLSTM) neural networks. …”
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Transient Voltage Unit Protection Based on Fault Information Fusion by Zhenwei Guo, Ruiqiang Zhao, Haojie Li, Yongyan Jiang

“…Transient voltage high-frequency instantaneous amplitudes are obtained and integrated using the Variational Mode Decomposition Hilbert Transform (VMD-HT) to increase the stability of high-frequency fault signal detection. …”
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Electric Vehicle Traction System Performance Enhancement Using a High-Gain Adaptive Controller by Sarah Adnan Albarri, Ahmed Khalil, Shayok Mukhopadhyay, Habibur Rehman

“…However, under external disturbances and parameters variation, the speed regulator performance may degrade. …”
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A Trimming Strategy for Mass Defects in Hemispherical Resonators Based on Multi-Harmonic Analysis by Yimo Chen, Fanrui Kong, Kai Zeng, Xiang Xi, Yan Shi, Dingbang Xiao, Xuezhong Wu

“…By integrating a rectangular pulse function into the mass distribution function to simulate etching grooves, spectral analysis revealed that groove depth and width determine the amplitude and gradient of introduced harmonics. …”
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On the inaccuracies of dental radiometers. by Adrian C Shortall, Mohammed A Hadis, William M Palin

“…Individual LCU irradiance values were normalized against IS data. The GS method yielded reproducible data with a 0.4% pooled coefficient of variation for the LCUs. …”
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Research on the surface water quality in the Huaihe River Basin and the gensis based on multivariate statistical analysis by Shuzhen Feng, Chaokai Zhang, Jiaheng Yan, Ke Ren, Ningbo Peng, Wei Jiang, Shouhua Liu

“…This study explored the latest spatial variation patterns of surface water quality in the HRB to cope with the increasingly severe challenges of water resource management. …”
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The Diversity, Richness, and Potential Health and Ecological Role of the Fungal Aerosols in Attica, Greece by Angelina Metaxatos, Dafni Georgiadou, Dimitris Hatzinikolaou, Gediminas Mainelis

“…Given the scarcity and discontinuity of data on aerial mycobiome, we aimed to investigate the diversity, concentration, and variation of aerial fungal community in Attica, Greece. …”
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Glaucoma treatment and deprivation: time-series analysis of general practice prescribing in England by Jeremy Hooper, Cecilia Helen Fenerty, James Roach, Robert Anthony Harper

“…Further research is needed to explore reasons for this discrepancy, permitting strategies to be developed to reduce unwarranted variation.…”
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Spatio-Temporal Evolution and Susceptibility Assessment of Thaw Slumps Associated with Climate Change in the Hoh Xil Region, in the Hinterland of the Qinghai–Tibet Plateau by Xingwen Fan, Zhanju Lin, Miaomiao Yao, Yanhe Wang, Qiang Gu, Jing Luo, Xuyang Wu, Zeyong Gao

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Paradigm predictive analysis of two-phase Eyring–Powell fluid flow over a vertical stretching sheet with temperature-dependent viscosity by multilayer neural networks by Zahoor Shah, Hamza Iqbal, Waqar Azeem Khan, Taseer Muhammad, Muhammad Shoaib

“…PDEs are converted into nonlinear ODEs with similarity transformations, which are solved using the Adam method in Mathematica with varied physical parameters to generate a reference dataset. …”
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Small amounts of misassembly can have disproportionate effects on pangenome-based metagenomic analyses by Stephanie N. Majernik, Larry Beaver, Patrick H. Bradley

“…Fortunately, we show that most contaminants can be automatically flagged and provide a simple method for doing so. Furthermore, applying this method reveals a new association between cirrhosis and gut microbial motility.…”
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Study of the mechanical properties of double line pipelines under silty sandstone and pipeline coupling by Cun-dong Xu, Wen-hao Han, Jin-xi Xia, Jun-kun Nie, Jun Cao, Zhi-hang Wang

“…A numerical simulation method is adopted to establish a three-dimensional finite element model integrating a “double-line pipeline-artificial fill-foundation” to study the influence of different single-layer filling thicknesses and internal water pressures on the mechanical properties of the double-line pipeline. …”
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Adaptive Neuro-Fuzzy Inference System-Genetic Algorithm approach for global maximum power point tracking in PV systems under different shading conditions by Nivine Guler, Zied Ben Hazem, Ali Gunes, Firas Saidi

“…These findings support that the ANFIS-GA approach has a high degree of flexibility, accuracy, and consistency, and it is thus an effective method in improving PV performance in a complex and dynamically varied systems.…”
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Experimental studies of load-bearing capacity and failure behavior of LNG cargo containment systems with multiple layers of insulation under heavy footprint loads by Guijie Shi, Zhiqian Wang, Deyu Wang

“…Finally, the nonlinear finite element method has been applied to study the deformation and stress distribution of the experimental models under heavy vertical footprint loads. …”
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Design and control of a DC-DC buck converter using discrete Takagi-Sugeno fuzzy models by A. Ayada, D. Guiza, D. Ounnas, N. Tidjani

“…System stability is analyzed via Lyapunov’s method and expressed through linear matrix inequalities. …”
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A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3... by Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, Kun Xiao, Wei Wu, Qinchuan Xin

“…While data fusion techniques are capable of generating spatiotemporally continuous data, challenges remain in capturing interannual variation of land surface dynamics at a spatial resolution where real observation data are lacking. …”
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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

“…By the systematic sampling method, the study considered 830 households with 10% marginal error and 20% non-sampling for the primary survey. …”
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Strength Deterioration Pattern and Stability Evaluation of Open−Pit Mine Slopes in Cold Regions Under Freeze–Thaw Cycles by Penghai Zhang, Ning Gao, Wanni Yan, Jun Hou, Honglei Liu

“…Slope safety factors and potential landslide mechanisms were determined through numerical simulations and the strength reduction method. Key findings include the following: (1) Shallow rock temperatures exhibit high synchronization with atmospheric temperature, characterized by large fluctuations and rapid variation rates, whereas deep rock demonstrates opposite trends. (2) As freeze–thaw cycles increase and burial depth decreases, the internal friction angle and cohesion of slope rock masses follow negative exponential decay functions. …”
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The potential of observing atmospheric rivers with Global Navigation Satellite System (GNSS) radio occultation by B. Rahimi, U. Foelsche, U. Foelsche

“…The retrieval of water vapor from GNSS-RO data requires background information, which is usually incorporated by the one-dimensional variational method (1D-Var) that combines observations and background in an optimal manner. …”
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