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Showing 2,241 - 2,260 results of 2,920 for search 'more (functional OR function) generate', query time: 0.14s Refine Results
  1. 2241
  2. 2242

    Suppression of the T-dependent antibody response following oral exposure to selected polycyclic aromatic compounds in B6C3F1/N mice by Victor J. Johnson, Cynthia V. Rider, Michael I. Luster, Cynthia J. Willson, Shawn Harris, Billie Stiffler, James Blake, Esra Mutlu, Veronica Godfrey, Brian Burback, Reshan Fernando, Suramya Waidyanatha, Gary R. Burleson, Dori R. Germolec

    Published 2025-03-01
    “…Antibody suppression was associated with significant immune cell loss in the spleen; however, it was clear that the suppression of the TDAR was more sensitive than cell loss indicating that cell function impairments were involved. …”
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  3. 2243

    SsDiHal: discovery and engineering of a novel tryptophan dihalogenase by Hassan Sher, Haley Hardtke, Wenzhu Tang, Jie Ren, Hayat Ullah, Xudong Zhou, Y. Jessie Zhang, Jixun Zhan

    Published 2025-07-01
    “…Abstract Background Halogenation plays a crucial role in enhancing the properties of small molecules, particularly by making them more effective for applications in agrochemicals and pharmaceuticals. …”
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  4. 2244

    Evaluation of inhibitory efficacy of plantaricin JK against NSP1 from SARS-CoV-2 by in silico methods by Manisha Mandal, Shyamapada Mandal

    Published 2025-06-01
    “…NSP1 (non-structural protein-1) of SARS-CoV-2 acts as a host translation inhibitor and reduces host immune function, thereby increasing viral pathogenicity and virulence. …”
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  5. 2245

    In Situ-Prepared Nanocomposite for Water Management in High-Temperature Reservoirs by Hui Yang, Jian Zhang, Zhiwei Wang, Shichao Li, Qiang Wei, Yunteng He, Luyao Li, Jiachang Zhao, Caihong Xu, Zongbo Zhang

    Published 2025-05-01
    “…We employed a variety of research methods, including bottle tests, viscosity and rheology measurements, scanning electron microscopy (SEM) scanning, density functional theory (DFT) calculations, differential scanning calorimetry (DSC) measurements, quartz crystal microbalance with dissipation (QCM-D) measurement, contact angle (CA) measurement, injectivity and temporary plugging performance evaluations, etc. …”
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  6. 2246
  7. 2247

    Intravenous immunoglobulin for mortality and inflammatory status in patients with sepsis: a retrospective database study by Hayabusa Takano, Hayabusa Takano, Naoki Kanda, Naoki Kanda, Yuji Wakimoto, Hiroyuki Ohbe, Kensuke Nakamura, Kensuke Nakamura

    Published 2025-01-01
    “…In-hospital mortality in the matched cohort was also significantly more favorable in the IVIG group (137/758 [18.1%] vs 177/758 [23.4%]; risk difference [95%CI], -5.3% [-9.3% to -1.2%]; P = 0.013). …”
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  8. 2248

    El Diseño Modular en el contexto del desarrollo de Máquinas Herramienta Reconfigurables. // Modular Design in the development of reconfigurable Machine Tools´ context. by R. Pérez Rodríguez, H. Ahuett Garza, A. Molina Gutiérrez, C. Rodríguez González

    Published 2005-05-01
    “…The methodology takes as input a set of functional requirements and produces a description of the<br />modules that can be used to produce customized Machine Tools.…”
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  9. 2249

    scRNA-Seq reveals age-dependent microglial evolution as a determinant of immune response following spinal cord injury by Lufei Shao, Yueliang Chang, Jinfang Liu, Leilei Lin, Long Chang, Jialin Zhang, Zhibin Lan, Honglai Zhang, Xiaolei Chen

    Published 2024-12-01
    “…Spinal cord injury (SCI) is a debilitating condition of the central nervous system (CNS) that leads to severe impairments in sensory and motor functions. Previous studies have pointed out that patient age is a critical factor influencing SCI prognosis. …”
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  10. 2250

    Análisis de imágenes mediante el método de los momentos usando funciones de base continuas a intervalos (PCBF) by Sergio Domínguez

    Published 2015-01-01
    “…Abstract: Invariants generated departing from moments, previously extracted from an image, appear frequently in the bibliography as one of the most powerful means of describing images, and more precisely shapes. …”
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    Article
  11. 2251

    The Use of Autologous Bone Graft vs Allograft Viable Cell Matrix in Forefoot, Midfoot, and Hindfoot Fusion by John O'Keefe MD, Sarah Hall BA, Chase Gauthier MD, Christopher Toussaint MD, Edward Haupt MD, J. Benjamin Jackson MD, MBA, Tyler Gonzalez MD, MBA

    Published 2025-03-01
    “…Allograft may be useful as an alternative to autograft given its high accessibility and lack of harvesting complications. Newer generation allograft mixtures containing osteoconductive, osteoinductive and osteogenic factors which may have similar or even higher rates of success compared to older generations of allograft. …”
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  12. 2252

    AlphaBind, a domain-specific model to predict and optimize antibody–antigen binding affinity by Aditya A. Agarwal, James Harrang, David Noble, Kerry L. McGowan, Adrian W. Lange, Emily Engelhart, Miranda C. Lahman, Jeffrey Adamo, Xin Yu, Oliver Serang, Kyle J. Minch, Kimberly Y. Wellman, David A. Younger, Randolph M. Lopez, Ryan O. Emerson

    Published 2025-12-01
    “…Recent advances in deep learning provide opportunities to address this challenge by learning sequence–function relationships to accurately predict fitness landscapes. …”
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  13. 2253

    Leveraging Large Language Models for Predicting Postoperative Acute Kidney Injury in Elderly Patients by Hanfei Zhu, Ruojiang Wang, Jiajie Qian, Yuhao Wu, Zhuqing Jin, Xishen Shan, Fuhai Ji, Zixuan Yuan, Tingrui Pan

    Published 2025-01-01
    “…Introduction: AKI is a severe postoperative complication, especially in elderly patients with declining renal function. Current AKI prediction models rely on ML, but their lack of interpretability and generalizability limits clinical use. …”
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    Article
  14. 2254

    A 30 m Global Flood Inundation Model for Any Climate Scenario by Oliver E. J. Wing, Paul D. Bates, Niall D. Quinn, James T. S. Savage, Peter F. Uhe, Anthony Cooper, Thomas P. Collings, Nans Addor, Natalie S. Lord, Simbi Hatchard, Jannis M. Hoch, Joe Bates, Izzy Probyn, Sam Himsworth, Josué Rodríguez González, Malcolm P. Brine, Hamish Wilkinson, Christopher C. Sampson, Andrew M. Smith, Jeffrey C. Neal, Ivan D. Haigh

    Published 2024-08-01
    “…Abstract Global flood mapping has developed rapidly over the past decade, but previous approaches have limited scope, function, and accuracy. These limitations restrict the applicability and fundamental science questions that can be answered with existing model frameworks. …”
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  15. 2255

    Optimizing FACTS Device Placement Using the Fata Morgana Algorithm: A Cost and Power Loss Minimization Approach in Uncertain Load Scenario-Based Systems by Mohammad Aljaidi, Pradeep Jangir, Sunilkumar P. Agrawal, Sundaram B. Pandya, Anil Parmar, Ali Fayez Alkoradees, Arpita, Aseel Smerat

    Published 2025-01-01
    “…The FATA algorithm is evaluated against recently developed and improved optimization techniques, such as rime-ice formation phenomenon based Improved RIME (IRIME) Algorithm, Newton–Raphson-Based Optimization (NRBO), Resistance Capacitance Algorithm (RCA), Krill Optimization Algorithm (KOA), and Grey Wolf Optimizer (GWO), across multiple optimization objectives: reduction in generation cost, reduction in power loss and combined generation cost plus power loss, termed as Gross cost function. …”
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  16. 2256

    From Chains to Arrays: Substrate-Mediated Self-Assembly of Diboron Molecules by Xiaoyu Hao, Huixia Yang, Mengmeng Niu, Tingting Wang, Hongyan Ji, Iulia Emilia Brumboiu, Cesare Grazioli, Ambra Guarnaccio, Albano Cossaro, Yan Li, Jingsi Qiao, Quanzhen Zhang, Liwei Liu, Teng Zhang, Yeliang Wang

    Published 2024-12-01
    “…Density functional theory (DFT) calculations confirm the weak interaction between B<sub>2</sub>Cat<sub>2</sub> molecules and the BLG substrate, which facilitates the formation of 2D molecular arrays on BLG. …”
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  17. 2257

    State Estimation in Power Systems Under Random Data Attack Using Correlation Matching, Semidefinite Relaxation, and Truncated Eigenvalue Decomposition by Bamrung Tausiesakul, Krissada Asavaskulkiet, Chuttchaval Jeraputra, Ittiphong Leevongwat, Thamvarit Singhavilai, Supun Tiptipakorn

    Published 2025-01-01
    “…This work is the first that proposes the correlation matching criterion to the power state estimation. As a non-convex function, the correlation matching loss is convexified using semidefinite relaxation. …”
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  18. 2258

    Ta-YOLO: overcoming target blocked challenges in greenhouse tomato detection and counting by Yun Zhao, Yijia Chen, Xing Xu, Yong He, Hao Gan, Na Wu, Zhechen Wang, Xi Sun, Yali Wang, Petr Skobelev, Yanan Mi

    Published 2025-07-01
    “…To further enhance the model’s focus on relevant information and improve its ability to recognize small targets, we designed a multi-dimensional attention structure(CSAM) that generated feature maps with more valuable information. …”
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    Article
  19. 2259

    Research of Neutron-thermal Hydraulic Coupling Calculation Method in Fast Reactor Code System MOSASAUR by ZHANG Bin, WANG Lianjie, LOU Lei, ZHAO Chen

    Published 2025-03-01
    “…There are four main functional modules in the previous version: cross-sections generation module, flux spectrum correction module, core simulation module and sensitivity and uncertainty analysis module. …”
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  20. 2260

    Random Finite Element Analysis and Random Factor response Mechanism for Geocell-reinforced Soil Retaining Walls by ZHANG Bingbing, SONG Fei

    Published 2025-01-01
    “…For this reason, a finite element analysis method based on random field theory is proposed in this paper, which can more realistically reflect the non-homogeneous characteristics of the reinforced soil retaining wall system by introducing a spatial random distribution model of the soil parameters and the mechanical properties of the geocells, so as to more accurately assess the influence of the spatial variability of the material parameters on the deformation behavior and stability of the retaining wall.MethodsFirstly, in parameter random field modeling, an innovative combination of Latin Hypercube Sampling (LHS) and exponential autocorrelation function is used to construct parameter random fields. …”
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