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  1. 11621

    Tailoring Borate Mediator Species Enables Industrial CO Production with Improved Overall Energy Efficiency by Sustainable Molten Salt CO2 Electrolysis by Xinyu Li, Bowen Deng, Kaifa Du, Wenmiao Li, Di Chen, Xin Qu, Fangzhao Pang, Xiaodan Zhang, Hao Zha, Huayi Yin, Dihua Wang

    Published 2025-01-01
    “…In this study, a borate‐enhanced molten salt process for CO2 capture and electrochemical transformation is employed, achieving over 98% selectivity for CO and over 55% energy efficiency without the necessity for complex and costly electrocatalysts. …”
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  2. 11622

    Storm‐Time Ring Current Plasma Pressure Prediction Based on the Multi‐Output Convolutional Neural Network Model by Yun Yan, Zi‐Kang Xie, Chao Yue, Jiu‐Tong Zhao, Fan Yang, Lun Xie, Qiu‐Gang Zong, Xu‐Zhi Zhou, Shan Wang

    Published 2025-01-01
    “…Our model successfully captures ring current enhancement during the storm main phase and species‐dependent decay during the recovery phase. …”
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  3. 11623

    A multiresolution approach with method-informed statistical analysis for quantifying lymphatic pumping dynamics by Mohammad S. Razavi, Katarina J. Ruscic, Elizabeth G. Korn, Marla Marquez, Timothy T. Houle, Dhruv Singhal, Lance L. Munn, Timothy P. Padera

    Published 2025-01-01
    “…The results highlight the importance of comprehensive data acquisition strategies to fully capture the dynamic behavior of the lymphatic system.…”
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  4. 11624

    Event-Type Identification in Power Grids Using a Spectral Correlation Function-Aided Convolutional Neural Network by Ozgur Alaca, Ali Riza Ekti, Jhi-Young Joo, Nils Stenvig

    Published 2024-01-01
    “…The SCF-based FE method captures distinctive event-type characteristics by exploiting the spectral correlation of signals, allowing the CNN architecture to effectively learn and generalize event patterns. …”
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  5. 11625

    Predictive modeling and optimization of noise emissions in a palm oil methyl ester-fueled diesel engine using response surface methodology and artificial neural network integrated... by J.M. Zikri, M.S.M. Sani, M.F.F.A. Rashid, J. Muriban, G.S. Prayogo

    Published 2025-03-01
    “…Specific components, such as the radiator, crankshaft, and crankcase, exhibited minimal prediction errors under ANN-GA, suggesting that this model is particularly adept at capturing the complex noise emission patterns associated with POME-fueled engines. …”
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  6. 11626

    A AVALIAÇÃO DOS FATORES DETERMINANTES PARA O AUMENTO DA PRODUTIVIDADE EM UMA EMPRESA PRODUTORA DE DENDÊ by PEDRO PINZ KLEMANN, ITALLO MICHAEL SOARES LEAL, CLAUDIONOR ANDRADE FARIAS JUNIOR, RENATO MARTINS DAS NEVES, ANDRÉ AUGUSTO AZEVEDO MONTENEGRO DUARTE

    Published 2020-09-01
    “…Ressalta-se ainda que baseado nos dados analisados, fazse necessário investir constantemente na melhoria de seu maquinário, com o objetivo de se manter competitiva perante o mercado. No que tange ao cultivo da Palma de Óleo, a empresa aplica padrões rígidos de adubação e espaçamento entre as mudas, além de estar geograficamente localizada em uma região com clima favorável ao cultivo …”
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  7. 11627

    Solar parking lot capacity: an abundant dual-use alternative to meet demand for the renewable energy transition by Scott Markwith

    Published 2025-01-01
    “…Most utility-scale solar facilities (USSFs) in the United States (US) are planned or installed in grasslands, pastures, agriculture land, and timberland, with aggressive future expansion plans. …”
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  8. 11628

    Mutational Analysis of a Familial Adenomatous Polyposis Pedigree with Bile Duct Polyp Phenotype by Li-jun Xie, Dan-dan Ruan, Jian-hui Zhang, Yi Li, Li Chen, Mao-lin Yan, Ming-dian Yu, Jie-wei Luo, Hui-zhen Zhang

    Published 2021-01-01
    “…We used next-generation sequencing (NGS) and capture techniques to screen suspected mutation points in the proband in this pedigree. …”
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  9. 11629

    Prediction of Final Phosphorus Content of Steel in a Scrap-Based Electric Arc Furnace Using Artificial Neural Networks by Riadh Azzaz, Mohammad Jahazi, Samira Ebrahimi Kahou, Elmira Moosavi-Khoonsari

    Published 2025-01-01
    “…The scrap-based electric arc furnace process is expected to capture a significant share of the steel market in the future due to its potential for reducing environmental impacts through steel recycling. …”
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  10. 11630

    OSAD: Open-Set Aircraft Detection in SAR Images by Xiayang Xiao, Zhuoxuan Li, Xiaolin Mi, Dandan Gu, Haipeng Wang

    Published 2025-01-01
    “…GCM effectively enhances the network's representation of objects by attention maps that are formed by capturing long sequential positional relationships. …”
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  11. 11631

    Prevalence, Causes, and Factors Associated with Visual Impairment and Blindness among Registered Pensioners in Ghana by Benjamin D. Nuertey, Kwesi Nyan Amissah-Arthur, Joyce Addai, Victor Adongo, Augustine D. Nuertey, Clement Kabutey, Isaac Asimadu Mensah, Richard Bekoe Biritwum

    Published 2019-01-01
    “…(iii) Observation procedures: data were captured through the use of questionnaires, physical examinations including eye examinations, and urine and blood sample analysis. …”
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  12. 11632

    Monitoring the Maize Canopy Chlorophyll Content Using Discrete Wavelet Transform Combined with RGB Feature Fusion by Wenfeng Li, Kun Pan, Yue Huang, Guodong Fu, Wenrong Liu, Jizhong He, Weihua Xiao, Yi Fu, Jin Guo

    Published 2025-01-01
    “…Images of maize canopies during the jointing, tasseling, and grouting stages were captured using unmanned aerial vehicle (UAV) remote sensing to extract color, texture, and wavelet features and to construct a color and texture feature dataset and a fusion of wavelet, color, and texture feature datasets. …”
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  13. 11633

    STFCropNet: A Spatiotemporal Fusion Network for Crop Classification in Multiresolution Remote Sensing Images by Wei Wu, Yapeng Liu, Kun Li, Haiping Yang, Liao Yang, Zuohui Chen

    Published 2025-01-01
    “…STFCropNet consists of a temporal branch, which captures seasonal spectral variations and coarse-grained spatial information from TS data, and a spatial branch that extracts geometric details and multiscale spatial features from HR images. …”
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  14. 11634

    Mallard Hybridization With Domesticated Lineages Alters Spring Migration Behavior and Timing by Nicholas W. Bakner, Nicholas M. Masto, Philip Lavretsky, Cory J. Highway, Allison C. Keever, Abigail G. Blake‐Bradshaw, Ryan J. Askren, Heath M. Hagy, Jamie C. Feddersen, Douglas C. Osborne, Bradley S. Cohen

    Published 2025-01-01
    “…We aimed to investigate differences in spring migratory behavior among 296 GPS‐tagged mallards captured during winter in Tennessee and Arkansas with varying levels of hybridization. …”
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  15. 11635

    Pavement Disease Visual Detection by Structure Perception and Feature Attention Network by Bin Lv, Shuo Zhang, Haixia Gong, Hongbo Zhang, Bin Dong, Jianzhu Wang, Cong Du, Jianqing Wu

    Published 2025-01-01
    “…However, existing visual methods often struggle to adapt to structural transformations and capture critical features of pavement diseases in complex environments, while their computational demands can be resource-intensive. …”
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  16. 11636

    The epididymal microenvironment in Akodon cursor (Muridae, Sigmodontinae, Akodontini): The lifetime of spermatozoa from production to maturation by Tatiana Prata Menezes, Fernanda Carolina Ribeiro Dias, Nara Clara Lazaroni e Merchid, Camila Folly Batista, Camilo Jose Ramirez-Lopez, Arabela Guedes de Azevedo Viana, Renner Philipe Rodrigues Carvalho, Adrielli Ribeiro Araújo, José Lino-Neto, Gisele Lessa, Arlindo A. Moura, Mariana Machado-Neves

    Published 2025-01-01
    “…This study focused on characterizing the sperm morphology of the small wild rodent Akodon cursor and describing the epididymal environment supporting sperm maturation. Eight A. cursor males were captured from a preserved area of the Atlantic Forest in Viçosa (MG, Brazil). …”
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  17. 11637

    What Time Is It? Finding Which Temporal Features is More Useful for Next Activity Prediction by Lerina Aversano, Martina Iammarino, Antonella Madau, Giuseppe Pirlo, Gianfranco Semeraro

    Published 2025-01-01
    “…Process Mining merges data science and process science that allows for the analysis of recorded process data by capturing activities within event-logs. It finds more and more applications for the optimization of the production and administrative processes of private companies and public administrations. …”
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  18. 11638

    Adaptive evolution of stress response genes in parasites aligns with host niche diversity by Armando J. Cruz-Laufer, Maarten P. M. Vanhove, Lutz Bachmann, Maxwell Barson, Hassan Bassirou, Arnold R. Bitja Nyom, Mare Geraerts, Christoph Hahn, Tine Huyse, Gyrhaiss Kapepula Kasembele, Samuel Njom, Philipp Resl, Karen Smeets, Nikol Kmentová

    Published 2025-01-01
    “…We comparatively investigated antioxidant, heat shock, osmoregulatory, and behaviour-related genes (foraging) in two model parasitic flatworm lineages with contrasting ecological diversity, Cichlidogyrus and Kapentagyrus (Platyhelminthes: Monopisthocotyla), through whole-genome sequencing of 11 species followed by in silico exon bait capture as well as phylogenetic and codon analyses. …”
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  19. 11639

    Age of Insomnia Onset Correlates with a Reversal of Default Mode Network and Supplementary Motor Cortex Connectivity by Emiliano Santarnecchi, Chiara Del Bianco, Isabella Sicilia, Davide Momi, Giorgio Di Lorenzo, Salvatore Ferrone, Giulia Sprugnoli, Simone Rossi, Alessandro Rossi

    Published 2018-01-01
    “…This might lead to alterations in brain connectivity patterns as those captured by functional connectivity fMRI analysis, leading to potential insight about primary insomnia (PI) pathophysiology as well as the impact of long-term exposure to sleep deprivation. …”
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  20. 11640

    Multiscale modeling of reservoir systems using geostatistical methods by Chihi, Hayet, Hammami, Mohamed Amin, Mezni, Imen, Belayouni, Habib, Ben Mammou, Abdallah

    Published 2023-05-01
    “…This provides a detailed input for the geostatistical modeling procedures that enabled to precisely capture the varying extent and shape of the hydrogeological units at regional scale.Geophysical data, available along the Jeffara plain, were added as a complement to the Jeffara geodatabase and used to establish the fault network and to build a local architectural model of the coastal aquifer system, based on time-to-depth conversion using kriging with external drift.The results have allowed (i) a major update of the geological configuration of the Jeffara basin, (ii) more precision on the geometries and extent of the stratigraphic sequences and (iii) an accurate prediction of the main characteristics of water reservoirs, i.e. their occurrence, thickness, facies and dynamic properties variation at the basin and reservoir scale. …”
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