Cosmic-Ray Neutron Sensor Backpack for Assessing Spatial and Temporal Variations in Soil Water Content in an Agroforestry System in Northern Spain by Leticia Gaspar, Trenton E. Franz, Ana Navas

“…The results show that the CRNS backpack effectively captures spatial and temporal SWC variations. The CRNS method demonstrated advantages over point-scale sensors by providing integrated measurements at an intermediate scale, while Sentinel-2 data offered valuable insights into moisture variability through vegetation response. …”
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Optimization of Mangiferin extraction from Mangifera Indica leaves Peruvian Criollo variation using ultrasound assisted surface response methodology by Elena Sofia Espinoza Rodríguez, Stephanie Elena Sosa Pulcha, Naysha Y. M․ Elguera, Abdel Alejandro Portocarrero Banda, Hugo Guillermo Jiménez Pacheco

“…The evaluated variables included extraction temperature, time, and solvent composition, aiming to maximize yield while ensuring the integrity of the bioactive compound. The identification of mangiferin was confirmed through chromatographic analysis, where the optimized extract exhibited a retention time closely matching the mangiferin standard (10.930 min), reinforcing the method's accuracy. …”
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Spatial variation and predictors of anemia among women of reproductive age in Mozambique, 2022/23: a multiscale geographically weighted regression by Deresse Abebe Gebrehana, Tadesse Tarik Tamir, Gebretsadik Endeshaw Molla, Yishak Kebede, Dejen Tegegne, Solomon Gedlu Nigatu, Araya Mesfin Nigatu

“…This study aims to assess the spatial variation and predictors of anemia among women of reproductive age in Mozambique.MethodsIndividual record and spatial coordinates data from the Mozambique Demographic and Health Survey (DHS 2022/23) were used. …”
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Mass spectrometry imaging reveals spatial metabolic variation and the crucial role of uridine metabolism in liver injury caused by Schistosoma japonicum. by Qingkai Xue, Xiangyu Zhou, Yuyan Wang, Yiyun Liu, Xiaojing Li, Chunrong Xiong, Xinjian Liu, Yuzheng Huang

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Integration and Verification of Miniature Fluid Film Pressure Sensors in Hydrodynamic Linear Guides by Burhan Ibrar, Volker Wittstock, Joachim Regel, Martin Dix

“…Therefore, different pressure sensor’s integration methods were tested in a stationary Plexiglas rail to measure fluid film pressure inside the lubrication gap. …”
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INTEGRATION BETWEEN INSECT GROWTH INHIBITORS, TRIGARD AND Coccinella septempunctata (L.) IN CONTROLLING by Nazar M. Al-Mallah

“…The results also revealed the existence of variation in a predation efficiency of males and females of ladybird according to the treatment method and Trigard concentration, and showed that the highest average of males predation efficiency reached 56.8, and 53.5%, and for females 53.5, and 52.7% when the plant leaf treated by 0.15% Trigard concentration respectively. …”
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Hybrid classical and quantum computing for enhanced glioma tumor classification using TCGA data by Emine Akpinar, Murat Oduncuoglu

“…However, quantum computing-based AI methods have the potential to process data in parallel by leveraging quantum properties such as superposition and entanglement, analyze higher-dimensional data more efficiently, and solve certain problems that classical methods struggle with more rapidly and effectively. …”
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Case Report: Compound heterozygous variants in BHLHA9 cause complex syndactyly with oligodactyly, renal artery variation, and facial scar by Weidong Wei, Weidong Wei, Xiaosha Wang, Xiaosha Wang, Tao Zhang, Tao Zhang, Yongxing Zhong, Yongxing Zhong, Jintang Zhang, Jintang Zhang, Hua Yuan, Hua Yuan, Xiaoliang Shi, Xiaoliang Shi, Yao He, Yao He, Haitao Pan, Haitao Pan, Zhen Yang, Yuejuan Wang

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CO2 Conversion Through Dynamic Resource Integration in Different Geographic Regions by Mohammad Lameh, Dhabia M. Al-Mohannadi, Patrick Linke

“…The proposed method follows a generic representation of resource integration across different processing and storage options while considering power price dynamics, power-related emissions (scope 2), and renewable energy availability. …”
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Research on Sleep Stage Classification of Electroencephalogram Signals Based on CNN and LSTM by Liying Zhu, Qingxin Guan, Yunqing Liu, Jiayue Xu, Sha Ma

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Impact of Supply Chain Management on Business Sustainability: Case of Water Bottling Companies in and Around Finfinnee, Ethiopia by Tadesse Kenea Amentae, Girma Gebresenbet, Nuredin Jemal Abdela

“…Customer integration, supplier integration, and supply chain internal practices significantly influence business social sustainability performance. …”
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Effect of External Sensory Integration on Motor Functional Disorder In Children With Attention Deficit Hyperactive Disorder (Adhd) - A Pilot Study by Chhavi Kumar Sharma, Shahiduz Zafar

“…In India, ADHD affects a significant percentage of school-aged children, with variations across different regions. This study investigates the effectiveness of sensory integration therapy combined with conventional physiotherapy compared to conventional physiotherapy alone in treating motor functional disorders in children with ADHD. …”
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Model-based design of a mechanically intelligent shape-morphing structure by Qianyi Chen, Dingena Schott, Jovana Jovanova

“…Nevertheless, its potential is challenged by low stiffness and limited deformability, particularly in large-scale application scenarios such as underwater and offshore engineering. The integration of smart materials and morphing structures presents a promising avenue for enhancing the capabilities of soft robotic systems, especially in large deformation and variations in stiffness. …”
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A Robust Kalman Filter for Heavy-Tailed Measurement Noise Based on Gamma Pearson VII Mixture Distribution by Shen Liang, Guoliang Xu, Zhenmei Qin

“…An Inverse Wishart distribution is introduced as the prior distribution of the measurement noise covariance to estimate it adaptively in response to unknown time-varying measurement noise. The variational Bayesian method is used to calculate the state and parameters jointly. …”
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Generative Modeling for Imbalanced Credit Card Fraud Transaction Detection by Mohammed Tayebi, Said El Kafhali

“…The increasing sophistication of fraud tactics necessitates advanced detection methods to protect financial assets and maintain system integrity. …”
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Big Data Analytics in Library Services With AI: Personalized Content Recommendations and Catalog Optimization by Pinjia Hu, Yichi Zhang

“…This paper presents an AI-driven framework designed to enhance user engagement and optimize catalog management in digital libraries. The framework integrates Variational Autoencoder (VAE)-based personalized recommendations with Adam optimizer and Lookahead mechanism for catalog optimization. …”
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Bearing fault diagnosis based on improved DenseNet for chemical equipment by Wu Huiyong, Jiang Kuan, Wang Yanyu

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Population-Wide Depression Incidence Forecasting Comparing Autoregressive Integrated Moving Average and Vector Autoregressive Integrated Moving Average to Temporal Fusion Transform... by Deliang Yang, Yiyi Tang, Vivien Kin Yi Chan, Qiwen Fang, Sandra Sau Man Chan, Hao Luo, Ian Chi Kei Wong, Huang-Tz Ou, Esther Wai Yin Chan, David Makram Bishai, Yingyao Chen, Martin Knapp, Mark Jit, Dawn Craig, Xue Li

“…MethodsWe developed population-wide depression incidence forecasting models and compared the performance of ARIMA and VARIMA-based methods to TFT-based methods. …”
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Quantifying the spatial patterns of retinal ganglion cell loss and progression in optic neuropathy by applying a deep learning variational autoencoder approach to optical coherence... by Jui-Kai Wang, Jui-Kai Wang, Brett A. Johnson, Zhi Chen, Zhi Chen, Honghai Zhang, Honghai Zhang, David Szanto, Brian Woods, Brian Woods, Michael Wall, Young H. Kwon, Young H. Kwon, Edward F. Linton, Edward F. Linton, Andrew Pouw, Mark J. Kupersmith, Mark J. Kupersmith, Mark J. Kupersmith, Mona K. Garvin, Mona K. Garvin, Mona K. Garvin, Mona K. Garvin, Randy H. Kardon, Randy H. Kardon

“…We propose a booster Variational Autoencoder (bVAE) to capture spatial variations in RGC loss and generate latent space (LS) montage maps that visualize different degrees and spatial patterns of optic nerve bundle injury. …”
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A novel multi-modal rehabilitation monitoring over human motion intention recognition by Saleha Kamal, Saleha Kamal, Mohammed Alshehri, Yahya AlQahtani, Abdulmonem Alshahrani, Nouf Abdullah Almujally, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

“…However, existing systems struggle with recognizing such subtle movements due to complex postural variations and environmental noise. This paper presents a novel multi-modal framework that integrates RGB and depth data to extract high-resolution spatial-temporal and anatomical features for accurate HMIR. …”
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