Enhancing Vegetation Mapping in Mexico through Artificial Intelligence and Remote Sensing Techniques by R. Orozco Gálvez, H. Ramos Ramos, J. C. Camacho Pérez, J. L. Ornelas de Anda, C. M. López López, A. K. Ahedo Díaz

“…This remarkable ecological variety is influenced by the country’s complex topography, diverse climates, and varying soil conditions. …”
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Mobile Mapping System for Urban Infrastructure Monitoring: Digital Twin Implementation in Road Asset Management by Vittorio Scolamiero, Piero Boccardo, Luigi La Riccia

“…The goal of urban digitalization is to provide a digital representation of physical infrastructure, data, information, and procedures for the management of complex anthropogenic systems. To meet this new goal, one must be able to understand the urban system through the integrated use of different methods in a multi-level approach. …”
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Tailored nano clay blends for enhanced dye mixture adsorption in wastewater treatment by Maitrayee U. Trivedi, Chandra Kanth P, Triparna Chakraborty, Maaz Kureshi, Srihari Galla, Manoj Kumar Pandey

“…The maximum dye removal efficiency was attained using HAMT (1:1) blend for effluent with an equimolar concentration of selected dyes. …”
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Seasonal fluctuations in individual milk parameters in free-range cows by S. M. Mykhailiutenko, L. M. Kuzmenko, B. V. Gutyj, Y. E. Mykhailiutenko

“…Their minimum and maximum limits were determined at Komyshuvatskyi Milk Complex LLC, which is key when determining the grade of milk. …”
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Process and Performance of Desulfurizing Thenardite Resource Utilization Based on Electrodialysis with Modified Ion Exchange Membranes by Jie ZHAO, Xiaofeng LIN, Wei ZHANG, Bo LI, Kai LI

“…Notably, after six testing cycles, the modified membranes exhibited excellent stability in ion selectivity and migration efficiency, meeting the requirements for long-term industrial operation. …”
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SWIPT-Enabled Cooperative Wireless IoT Networks With Friendly Jammer and Eavesdropper: Outage and Intercept Probability Analysis by Dinh Tung Vo, Trinh Van Chien, Tan N. Nguyen, Dinh-Hieu Tran, Miroslav Voznak, Byung Seo Kim, Lam Thanh Tu

“…In this context, a low-complexity, sub-optimal, but efficient relay selection method is proposed. …”
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Numerical study of a fish swimming in hydrokinetic turbine wake by Marianela Machuca Macias, Rafael Castilho Faria Mendes, José Hermenegildo Garcia-Ortiz, Taygoara Felamingo Oliveira, Antonio C.P. Brasil Junior

“…The environmental effects of hydrokinetic turbines are still under investigation, reflecting the emerging status of this technology. This study investigates the interaction between hydrokinetic rotor wakes and fish swimming, revealing insights into fish biomechanics in complex flows and assessing the environmental implications of marine energy solutions. …”
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Comparison of NeRF- and SfM-Based Methods for Point Cloud Reconstruction for Small-Sized Archaeological Artifacts by Miguel Ángel Maté-González, Roy Yali, Jesús Rodríguez-Hernández, Enrique González-González, Julián Aguirre de Mata

“…The research targets artifacts smaller than 5 cm, characterized by complex geometries and reflective surfaces that pose challenges for conventional recording methods. …”
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Phosphorus-solubilizing fungi promote the growth of Fritillaria taipaiensis P. Y. Li by regulating physiological and biochemical reactions and protecting enzyme system–related gene... by Yueheng Wang, Lin Yuan, Lin Yuan, Yuhan Wang, Jiaqi Lang, Mingyan Ye, Qingqiu Liu, Qiang Ma, Nong Zhou

“…Phosphorus-solubilizing fungi can promote the dissolution of insoluble phosphate complex, which benefits plant nutrition. Another strategy for efficiently cultivating traditional Chinese medicine plants is to combine the soil with phosphorus-solubilizing fungi to provide nutrients and other desired features. …”
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Key technologies for exploration and geological evaluation of deep carbon storage spaces by Wenping LI, Danping CAO, Wei QIAO, Zhengwu ZHOU, Qingliang CHANG, Songhang ZHANG, Shuangxing LIU, Yi SHEN, Wanjun LI, Xin FU, Bo LIU, Yan WANG, Qiqing WANG, Xiaoqin LI, Zhi YANG, Cong LIU, Zheng ZHANG, Hongjie XU, Zhennan ZHU, Xianggang CHENG

“…Methods such as the analytic hierarchy process (AHP), GIS, and machine learning are combined to optimize site selection decisions. To address the complexity of deep carbon storage spaces, integrated seismic and electrical exploration technologies significantly improve reservoir identification accuracy: full-waveform inversion (FWI) characterizes pore-fracture structures, gravity-magnetic inversion constructs deep structural models, and multiphysical data fusion reduces the non-uniqueness of inversion results. …”
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Correlation between Iliac Tilt and traditional sagittal parameters in adolescents by ZengHui Zhao, Hao Qi, Anqi Zhao, Hongru Yuan, Peng Zhang, Chenchen Wang, Chenxi Wang, Di Zhang

“…Compared to traditional parameters, IT offers a simpler measurement process, making it suitable for complex cases with limited imaging quality. It provides an efficient evaluation tool for clinical and research applications.…”
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Ontogeny of Fetal Cardiometabolic Pathways: The Potential Role of Cortisol and Thyroid Hormones in Driving the Transition from Preterm to Near-Term Heart Development in Sheep by Reza Amanollahi, Stacey L. Holman, Melanie R. Bertossa, Ashley S. Meakin, Kent L. Thornburg, I. Caroline McMillen, Michael D. Wiese, Mitchell C. Lock, Janna L. Morrison

“…The increased expression of proteins regulating mitochondrial biogenesis and OXPHOS complex 4 reflects the known transition from glycolysis to oxidative phosphorylation, essential for meeting the energy demands of the postnatal heart. …”
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Dynamic Closed-Loop Validation of a Hardware-in-the-Loop Testbench for Parallel Hybrid Electric Vehicles by Marc Timur Düzgün, Christian Heusch, Sascha Krysmon, Christian Dönitz, Sung-Yong Lee, Jakob Andert, Stefan Pischinger

“…The complexity and shortening of development cycles in the automotive industry, particularly with the rise in hybrid electric vehicle sales, increases the need for efficient calibration and testing methods. …”
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A Precise and Scalable Indoor Positioning System Using Cross-Modal Knowledge Distillation by Hamada Rizk, Ahmed Elmogy, Mohamed Rihan, Hirozumi Yamaguchi

“…At the core of <i>DistilLoc</i>, the FNet architecture is employed for its computational efficiency and capacity to capture complex relationships among RSSI signals from multiple access points. …”
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Deep fusion approach: Combining hyperspectral imaging and ground penetrating radar for accurate cornfield soil moisture mapping by Milad Vahidi, Sanaz Shafian, William Hunter Frame

“…These outcomes highlight the effectiveness of the 1DCNN-ANN in handling complex datasets and its consistent success in refining model accuracy and reliability.…”
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Robust Methods for Assessing the Characteristics of Locomotor Activity Based on Markerless Video Capture Data by M. I. Bogachev, K. R. Grigarevichius, N. S. Pyko, S. A. Pyko, M. Tsygankova, E. A. Plotnikova, T. V. Ageeva, Ya. O. Mukhamedshina

“…The movement trajectories of biological objects can be represented by time series exhibiting a complex multicomponent structure and non-stationary dynamics, thus limiting the effectiveness of conventional correlation and spectral time series analysis methods. …”
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Enabling Parallel Performance and Portability of Solid Mechanics Simulations Across CPU and GPU Architectures by Nathaniel Morgan, Caleb Yenusah, Adrian Diaz, Daniel Dunning, Jacob Moore, Erin Heilman, Evan Lieberman, Steven Walton, Sarah Brown, Daniel Holladay, Russell Marki, Robert Robey, Marko Knezevic

“…Efficiently simulating solid mechanics is vital across various engineering applications. …”
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Pre-mRNA processing factors differentially impact coordination between co-transcriptional cleavage and transcription termination by Xianhao Jin, Juzuo Li, Wenqin Lu, Xian Deng, Yanping Wei, Yi Shu, Bo Liu, Zhijian Liu, Yanping Long, Xinlong Zhu, Qili Fei, Yiji Xia, Qingshun Q. Li, Scott D. Michaels, Xiaofeng Cao, Michael Lenhard, Jixian Zhai

“…Our results reveal diverse roles for these processing factors in coordinating cleavage and termination: core components of CPSF and CstF complex stimulate both cleavage and termination, facilitating access to exoribonuclease AtXRN3; mutations in nuclear poly(A) polymerase PAPS1 and AtXRN3 caused delayed termination with minimal effects on cleavage, suggesting their roles are further downstream; BORDER proteins facilitate termination while simultaneously inhibiting cleavage, suggesting a complex interplay between these two actions; the phosphatase SSU72 specifically promotes efficient termination without affecting cleavage. …”
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RETRACTED: Intelligent power grid energy supply forecasting and economic operation management using the snake optimizer algorithm with Bigur-attention model by Lingling Cui, Jiacheng Liao

“…This paper investigates smart grid energy supply forecasting and economic operation management, with a focus on building an efficient energy supply prediction model. Four datasets were selected for training, and a Snake Optimizer (SO) algorithm-optimized Bigru-Attention model was proposed to construct a comprehensive and efficient prediction model, aiming to enhance the reliability, sustainability, and cost-effectiveness of the power system. …”
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Evaluating the impact of deep learning approaches on solar and photovoltaic power forecasting: A systematic review by Oussama Khouili, Mohamed Hanine, Mohamed Louzazni, Miguel Angel López Flores, Eduardo García Villena, Imran Ashraf

“…Accurate solar and photovoltaic (PV) power forecasting is essential for optimizing grid integration, managing energy storage, and maximizing the efficiency of solar power systems. Deep learning (DL) models have shown promise in this area due to their ability to learn complex, non-linear relationships within large datasets. …”
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