Showing 1,101 - 1,120 results of 3,092 for search 'more function (genera OR generated)', query time: 0.18s Refine Results
  1. 1101

    Land cover classification for Siberia leveraging diverse global land cover datasets by Munseon Beak, Kazuhito Ichii, Yuhei Yamamoto, Ruci Wang, Beichen Zhang, Ram C. Sharma, Tetsuya Hiyama

    Published 2025-01-01
    “…We trained the RF classifiers with multiple land cover products to produce a more precise land cover product for Siberia. The validations showed that: (a) the generated new land cover data achieved the highest overall accuracy (85.04%) and kappa coefficient (82.62%); (b) the classifications of mixed forest (user accuracy: 97.85%) and grasses (user accuracy: 94.85%) demonstrated improvements, showing higher performance compared to most other types; and (c) by comparing the distribution of land cover across climate zones, we discovered that temperature is a critical factor throughout Siberia. …”
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  2. 1102

    Potential Applicability of Air-Cooled Ladle Furnace Slag Fine Aggregate in Concrete Production by Jeongmin Ra, Sunmi Choi, Sangchul Shin, Jinman Kim

    Published 2025-02-01
    “…Electric arc furnace oxidizing slag (EAFOS) represents 80% of the electric arc furnace slag generated. Recently, EAFOS has been utilized as high value-added functional aggregate in a growing number of cases for the construction of air-cooling technology that turns EAFOS into fine aggregate-sized particles by spraying it into the air using high-pressure compressed air. …”
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  3. 1103

    Positivity bounds in scalar Effective Field Theories at one-loop level by Yunxiao Ye, Bin He, Jiayin Gu

    Published 2024-12-01
    “…In particular, the one-loop generated dimension-8 operator coefficients (that would be positive if generated at the tree level), as well as their β-functions are generally not subject to positivity bounds as they might correspond to interference terms of the cross sections under the optical theorem, which could have either sign. …”
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  4. 1104

    Differentiation of glioma and radiation injury in rats using in vitro produce magnetically labeled cytotoxic T-cells and MRI. by Ali S Arbab, Branislava Janic, Kourosh Jafari-Khouzani, A S M Iskander, Sanath Kumar, Nadimpalli R S Varma, Robert A Knight, Hamid Soltanian-Zadeh, Stephen L Brown, Joseph A Frank

    Published 2010-02-01
    “…Cells positive for CD25, CD4, CD8 were determined in generated CTLs. Specificity of cytotoxicity of the generated CTLs was also determined by lactate dehydrogenase (LDH) release assay. …”
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  5. 1105

    Metagenomic Insight into Cecal Microbiota Shifts in Broiler Chicks Following <i>Eimeria</i> spp. Vaccination by Dimitrios Marinos Karadedos, Tilemachos Mantzios, Despoina Eugenia Kiousi, Margaritis Tsifintaris, Ilias Giannenas, Panagiotis Sakkas, Georgios A. Papadopoulos, Gunther Antonissen, Aglaia Pappa, Alex Galanis, Vasilios Tsiouris

    Published 2025-06-01
    “…Additionally, in the vaccinated group, gross lesions in the intestine were reduced in severity and microbial diversity was partially preserved, resulting in a microbiota composition more similar to that of the control group. Overall, these findings support that <i>Eimeria</i> spp. infection alters gut microbiota and function in broiler chicks, underscoring the need for further research into alternative strategies, such as probiotics and phytobiotics, to support gut health and disease resilience in poultry.…”
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  6. 1106

    Insight into the Microbiota of Orthopteran in Relation to Gut Compartmentalisation by Thierry Hance, Alisa Hamidovic, Siripuk Suraporn

    Published 2025-05-01
    “…This review first provides an overview of the functional diversity of Orthoptera-associated microbiota and the services they provide to their hosts. …”
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  7. 1107

    Improved Artificial Bee Colony Optimization Underwater Localization Algorithm by Logistic Chaos Mapping and Differential Evolution by Jiaxing CHEN, Yang LIU, Xiaoqian LIU, Zhihua LIU

    Published 2025-01-01
    “…The chaotic sequence generated by the mapping function was employed as a replacement for the random number generator, with the objective of achieving a more uniform distribution of the population during the initial distribution phase. …”
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  8. 1108

    G2Grad-CAMRL: An Object Detection and Interpretation Model Based on Gradient-Weighted Class Activation Mapping and Reinforcement Learning in Remote Sensing Images by Shoulin Yin, Liguo Wang, Muhammad Shafiq, Lin Teng, Asif Ali Laghari, Muhammad Faizan Khan

    Published 2023-01-01
    “…The reinforcement learning method is used to optimize the generated region generation network. At the same time, we improve the reward function of reinforcement learning to improve the effectiveness of the region generation network. …”
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  9. 1109

    Parameterizing the Tip Effects of Submerged Vegetation in a VARANS Solver by Lai Jiang, Jisheng Zhang, Hao Chen, Chenglin Liu, Mingzong Zhang

    Published 2025-04-01
    “…The two-scale <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mfenced open="⟨" close="⟩" separators="|"><mrow><mi>k</mi></mrow></mfenced><mo>−</mo><mfenced open="⟨" close="⟩" separators="|"><mrow><mi>ε</mi></mrow></mfenced></mrow></semantics></math></inline-formula> turbulence model is further modified with the inclusion of a new damping function to capture the suppression of wake generation. …”
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  10. 1110

    Harnessing TGF-β signaling to improve testicular organoid development from dissociated testicular cells by Seyedeh-Faezeh Moraveji, Saiedeh Erfanian, Mohammad Hossein Ghanian, Hossein Baharvand

    Published 2025-08-01
    “…However, current TOs mostly fail to recapitulate the native testicular architecture and function, likely due to an imbalance between the spermatogonia and functional niche cells. …”
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  11. 1111

    Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes by Chenmeng Zhao, Like Zhao, Ka Zhang, Yinghua Ren, Hui Chen, Yehua Sheng

    Published 2025-03-01
    “…Then, a two-channel loss function (W-SIoU) based on dynamic tuning and intelligent focusing is designed to enhance loss computation in the boundary regions, thus improving the YOLOv11 model’s ability to recognize targets with ambiguous boundaries. …”
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  12. 1112

    Neural-enhanced motion-to-EMG: refining simulated muscle activity from musculoskeletal models using a Seq2Seq approach by Tatsuya Teramae, Takamitsu Matsubara, Takamitsu Matsubara, Tomoyuki Noda, Jun Morimoto, Jun Morimoto

    Published 2025-07-01
    “…Electromyography (EMG) is essential for accurate assessment of motor function in rehabilitation, sports science, and robotics. …”
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  13. 1113

    Novel Aggregation Framework for Electric Bus Fleet Scheduling by Maros Janovec, Milan Straka, Michal Kohani, Lubos Buzna

    Published 2025-01-01
    “…In recent years, electric buses have become a more environmentally friendly alternative to combustion buses. …”
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  14. 1114

    Specific overexpression of contactin-associated protein-like 2 and its effects on pain-related behaviour in mice by Mandy Tseng, Steven J. Middleton, Adham Farah, Sarosh R. Irani, John M. Dawes, David L. Bennett

    Published 2025-08-01
    “…The aim of this study was to assess whether overexpressing CASPR2 could be a potential approach to treat pain. Methods:. We generated a Cre-dependent mouse line to express human CASPR2 (R26LSL:hCNTNAP2(+/+) (CASPR2OE)) and crossed this with either Hoxb8Cre or Nav1.8Cre mice for CASPR2 overexpression in either all DRG neurons or to target nociceptors more selectively. …”
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  15. 1115

    Bidirectional seismic response of assembled monolithic subway station-aboveground structure system under artificial bedrock ground motions by Yu Miao, Han-Wen Ji, Yang Shi

    Published 2025-04-01
    “…In this study, we firstly performed the statistical analysis on bidirectional bedrock ground motion parameters (response spectrum, duration and envelope function) using KiK-net data, and obtained some suggested values of the above parameters. …”
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  16. 1116

    Intercomparison and Validation of MIRS, MSPPS, and IMS Snow Cover Products by Jessica Chiu, Stephany Paredes-Mesa, Tarendra Lakhankar, Peter Romanov, Nir Krakauer, Reza Khanbilvardi, Ralph Ferraro

    Published 2020-01-01
    “…We analyze this disagreement rate as a function of terrain and land cover type, finding that, relative to IMS, MIRS shows fewer false positives but more false negatives than MSPPS over high elevation and grassland areas.…”
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  17. 1117

    Elaborating Strategies of Sustainable Development at Industrial Enterprises by T. A. Shipilova

    Published 2024-01-01
    “…This strategy is a key element of successful running of business in current circumstances, where requirements to sustainability and responsibility to the environment are becoming more and more important. The research found the link between the rate of industry sustainability and provision of sustainable development of enterprises in different industries. …”
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  18. 1118

    Investigation of Knee Torque Dynamics in Single-Leg Transfemoral Prosthetic during Walking Using Mathematical Modeling by Peguy Kameni Nteutse, Abebe Geletu

    Published 2024-01-01
    “…These findings highlight the importance of optimizing the design and performance of transfemoral prosthetic devices to improve the knee torque dynamics and overall functionality of amputees. Our mathematical model provides a useful tool for future research in this field, which could help develop more effective prosthetic devices for transfemoral amputees.…”
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  19. 1119

    A novel ubiquitin-related genes-based signature demonstrated values in prognostic prediction, immune landscape sculpture and therapeutic options in laryngeal cancer by Lu Liu, Lu Liu, Lu Liu, Lu Liu, Bing Wang, Xiaoya Ma, Xiaoya Ma, Lei Tan, Lei Tan, Lei Tan, Xudong Wei, Xudong Wei

    Published 2025-03-01
    “…As evaluated, the low-risk group had a more activated immune function, higher infiltration of anti-cancer immune cells and stronger expression of immune-promoting cytokines than the high-risk group. …”
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  20. 1120

    A comparative analysis of syntactic complexity in argumentative essays from rhetorical perspective: ChatGPT vs. English native speakers. by Wenlong Liu, Xianming Liu

    Published 2025-01-01
    “…Additionally, ChatGPT's syntactic complexity was characterized by lower variability across multiple measures, indicating a more uniform and formulaic output. These findings underscore the differences between ChatGPT and native speakers in syntactic complexity and rhetorical functions in argumentative essays, therefore contributing to our understanding of ChatGPT's argumentative writing performance and providing valuable insights for ChatGPT integration into writing instruction.…”
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