A dual branch model for predicting microseismic magnitude time series named DTFNet by Hao Luo, Zhongyi Liu, Yishan Pan, Liang Wang, Chao Kong, Huan Zhang

“…Therefore, this paper proposes a microseismic time series prediction model, DTFNet, which integrates time series decomposition and deep learning. …”
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Spatiotemporal investigation into water, land, energy, and carbon footprints of broiler and correlations among them in China by Ya-wen Li

“…However, a simultaneous water, land, energy and carbon footprints evaluation is insufficient. Here, we used an integrated environmental footprint method based on life cycle approach to build a water-land-energy-carbon footprint model on the broiler breeding with the stages of feed crop planting, feed processing, transportation, and on-farm farming. …”
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Longitudinal Joint Modelling of Binary and Continuous Outcomes: A Comparison of Bridge and Normal Distributions by Payam Amini, Geert Verbeke, Farid Zayeri, Hossein Mahjub, Saman Maroufizadeh, Abbas Moghimbeigi

“… Background: Longitudinal joint models consider the variation caused by repeated measurements over time as well as the association among the response variables. …”
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Model reference adaptive system and pseudo-sliding mode control with exponential reaching law for sensorless-speed control of PMSM. by Djaloul Karboua, Toufik Mebkhouta, Said Benkaihoul, Youcef Chouiha, Belgacem Toual, Zuhair A Alqarni, Ahmad F Tazay, Mohamed I Mosaad

“…The MRAS is implemented as a robust sensorless observation method that efficiently handles uncertainties, adapts to dynamic conditions, and aims to achieve dependable performance by having the controlled system mimic a reference model. …”
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A Spatiotemporal Attention-Guided Graph Neural Network for Precise Hyperspectral Estimation of Corn Nitrogen Content by Feiyu Lu, Boming Zhang, Yifei Hou, Xiao Xiong, Chaoran Dong, Wenbo Lu, Liangxue Li, Chunli Lv

“…A hyperspectral maize nitrogen content prediction model is proposed, integrating a dynamic spectral–spatiotemporal attention mechanism with a graph neural network, with the aim of enhancing the accuracy and stability of nitrogen estimation. …”
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KEDM: Knowledge-Embedded Diffusion Model for Infrared Image Destriping by Lingxiao Li, Xin Wang, Dan Huang, Yunan He, Zhuqiang Zhong, Qingling Xia

“…This approach effectively integrates the spatial distribution characteristics of stripe noise with an innovative, data-driven diffusion network model, creating a hybrid knowledge and data-driven framework for stripe correction. …”
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The Decisive Influence of the Improved Remote Sensing Ecological Index on the Terrestrial Ecosystem in Typical Arid Areas of China by Long Guo, Chao Xu, Hongqi Wu, Mingjie Shi, Yanmin Fan

“…The methodology includes time series analysis, spatial distribution analysis, and statistical evaluations using the difference method, coefficient of variation, and the Hurst index. …”
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New insights into the first cervical vertebrae of Otavipithecus and Nacholapithecus by Amélie Beaudet, Yasuhiro Kikuchi, Fredrick Kyalo Manthi, Emmanuel Ndiema, Dominic Stratford, Bernhard Zipfel

“…In addition to standard linear measurements, the morphology of GSN BA 104’91 and KNM-BG 35250BE was investigated by landmark-based geometric morphometric (GM) method and statistical analyses. The dimensions of the Miocene specimens fall within, or closely approximate to, the range of variation of Pan and Hylobates. …”
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Thermal Optimization Design for a Small Flat-Panel Synthetic Aperture Radar Satellite by Tian Bai, Yuanbo Zhang, Lin Kong, Hongrui Ao, Jisong Yu, Lei Zhang

“…The thermal control method of the antenna is closely integrated with structural design, simplifying the thermal design and its assembly process, reducing the resource consumption of thermal control systems. …”
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Forecasting regional carbon prices in china with a hybrid model based on quadratic decomposition and comprehensive feature screening. by Yaoyang Yi

“…First, the improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN) is used to decompose the carbon price time series once, extract high-frequency and low-frequency components, and denoise the high-frequency components using stacked denoising autoencoder (SDAE). Then, the variational mode decomposition (VMD) method is subsequently employed to execute a secondary decomposition on the reconstructed signal, with the decomposition hyperparameters optimized via crested porcupine optimization (CPO). …”
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Metabolomic Insights into Sexual Multi-Morphism of Sinomenine Accumulation in <i>Sinomenium acutum</i> by Yanxian Luo, Wen Xu, Yanling Fan, Xinyu Ma, Qian Deng, Meng Li, Wei Sun

“…In total, 1213 metabolites were identified, and most of them vary in the roots but not in the leaves among the different genders. Integrated correlation analysis on the DAMs (differentially accumulated metabolites) enriched in the isoquinoline alkaloid biosynthesis pathway suggests coclaurine as an intermediate determining gender-dependent sinomenine variation. …”
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Analysis of Higher Dimensional Converter Using Graphical Approach by J. Divya Navamani, K. Boopathi, M. Jagabar Sathik, A. Lavanya, Kitmo, Pradeep Vishnuram

“…Additionally, the pole clustering method minimizes the converter&#x2019;s order. The impact of parameter variation with the pole-zero location is discussed elaborately. …”
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An Investigation of the Evolution of Heliosheath Energetics Using a Pressure Enhancement Event Observed by IBEX by Nehpreet K. Walia, Daniel B. Reisenfeld, Lauren J. Beesley, Paul H. Janzen, Thomas K. Kim, Asher S. Merrill, Sung Jun Noh, Dave Osthus, Eric J. Zirnstein

“…During solar cycle 24, an increase in the solar wind (SW) dynamic pressure in late 2014 caused a sharp increase in the heliospheric energetic neutral atom (ENA) flux that was seen by the Interstellar Boundary Explorer (IBEX) at 1 au in late 2016. We study the variation of the ENA energy spectra and temperature in the heliosheath (HS) and compare it with the changes in line-of-sight-integrated ENA pressure, SW number density, speed, and SW dynamic pressure to understand the detailed physics of the energetic evolution of the HS. …”
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Analysis of non-halal meat adulteration in beef meatball using real-time PCR and mitochondrial D-loop gen-specific primer by Halida Rahmania, Rien Larasati Arini, Abdul Rohman, Rumiyati Rumiyati

“…Conclusion: Using the D-Loop 539 and D-Loop 409 primers, this method is capable to detect the presence of pork and wild boar meat within beef meatballs This research contributes to the authentication of halal products in alignment with the provisions of Law No. 33 of 2014, thereby endorsing consumer confidence in product integrity. …”
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Revealing Relationship Between In Situ Impedance and Lithium Plating Onset Based on Lithium–Graphite Half-Cells by Zhao Jiang, Jiangwei Wang, Haiwei Li, Bingyin Luo, Wentao Wu, Xueyuan Wang, Haifeng Dai, Jianjun Jiang, Xuezhe Wei

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A Novel Open Circuit Fault Diagnosis for a Modular Multilevel Converter with Modal Time-Frequency Diagram and FFT-CNN-BIGRU Attention by Ziyuan Zhai, Ning Wang, Siran Lu, Bo Zhou, Lei Guo

“…To solve this problem, an intelligent diagnosis method is proposed to integrate the modal time–frequency diagram and FFT-CNN-BiGRU-Attention. …”
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A Hybrid Regression–Kriging–Machine Learning Framework for Imputing Missing TROPOMI NO₂ Data over Taiwan by Alyssa Valerio, Yi-Chun Chen, Chian-Yi Liu, Yi-Ying Chen, Chuan-Yao Lin

“…Interpretability analysis using the SHapley Additive exPlanations (SHAP) method revealed temperature as the most influential meteorological driver of NO₂ variation, particularly during winter, while forest cover consistently emerged as a key land-use factor mitigating NO₂ levels through dry deposition. …”
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Mapping soil salinity in irrigated areas using hyperspectral UAV imagery by ZHOU Shixun, YIN Juan, WANG Juntao, CHANG Buhui, YANG Zhen

“…This model achieved a determination coefficient of 0.825 and a root mean square error of 2.254 g/kg. ③ Integrating the BPNN model with GIS enabled estimation of spatial variation of soil salinity. …”
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Enhancing health workforce capacity through life skills-based interventions: evidence from Pakistan on reducing gender-based violence by Tazeen Saeed Ali, Ambreen Merchant, Warisha Qamar, Zahid Ali Memon, Rubina Barolia, Zulfiqar A Bhutta

“…This study aims to strengthen the health system’s response to Gender-based violence by implementing a need-based Life Skills-Based Training program for healthcare providers in Pakistan. Method A quasi-experimental pre-post study design was employed. …”
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Extended Minimal Atomicity through Nondifferentiability: A Mathematical-Physical Approach by Gabriel Gavriluţ, Alina Gavriluţ, Maricel Agop

“…In the one-dimensional stationary case of the fractal Schrödinger type geodesics, a special symmetry induced by the homographic group in Barbilian’s form “makes possible the synchronicity” of all entities of a given physical system. The integral and differential properties of this group under the restriction of defining a parallelism of directions in Levi-Civita’s sense impose correspondences with the “dynamics” of the hyperbolic plane so that harmonic mappings between the ordinary flat space and the hyperbolic one generate (by means of a variational principle) a priori probabilities in Jaynes’ sense. …”
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