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  1. 11241

    Satellite Image Price Prediction Based on Machine Learning by Linhan Yang, Zugang Chen, Guoqing Li

    Published 2025-06-01
    “…This study develops a comprehensive, data-driven framework for predicting satellite imagery prices using four state-of-the-art ensemble learning algorithms: XGBoost, LightGBM, AdaBoost, and CatBoost. …”
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    Article
  2. 11242

    ARTS AND MACHINE CIVILIZATION INTERNATIONAL SCIENTIFIC CONFERENCE / МЕЖДУНАРОДНАЯ НАУЧНАЯ КОНФЕРЕНЦИЯ «ИСКУССТВО И МАШИННАЯ ЦИВИЛИЗАЦИЯ»... by DUKOV YEVGENY V. / ДУКОВ Е.В., EVALLYO VIOLETTA D. / ЭВАЛЛЬЕ В.Д.

    Published 2021-06-01
    “…As is commonly known, art was traditionally opposed to technology as something alien, sometimes hostile, although the both were born in human mind and created by human hands. …”
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  3. 11243

    Multi-Focus Image Fusion Based on Dual-Channel Rybak Neural Network and Consistency Verification in NSCT Domain by Ming Lv, Sensen Song, Zhenhong Jia, Liangliang Li, Hongbing Ma

    Published 2025-06-01
    “…Experimental results show that our method consistently outperforms several state-of-the-art image fusion techniques, including both traditional algorithms and deep learning-based approaches, in terms of visual quality and objective performance metrics (<inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>A</mi><mi>B</mi><mo>/</mo><mi>F</mi></mrow></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>C</mi><mi>B</mi></mrow></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mi>E</mi></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>F</mi><mi>M</mi><mi>I</mi></mrow></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>M</mi><mi>I</mi></mrow></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>M</mi><mi>S</mi><mi>E</mi></mrow></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>N</mi><mi>C</mi><mi>I</mi><mi>E</mi></mrow></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>N</mi><mi>M</mi><mi>I</mi></mrow></msub></mrow></semantics></math></inline-formula>, <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mi>P</mi></msub></mrow></semantics></math></inline-formula>, and <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>Q</mi><mrow><mi>P</mi><mi>S</mi><mi>N</mi><mi>R</mi></mrow></msub></mrow></semantics></math></inline-formula>). …”
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  4. 11244

    First-in-human dose escalation trial to evaluate the clinical safety and efficacy of an anti-MAGEA1 autologous TCR-transgenic T cell therapy in relapsed and refractory solid tumors by Ignacio I Wistuba, Mamta Kalra, Linus Backert, Martin Wermke, Edwin R Parra, Jason John Luke, Apostolia M Tsimberidou, Sebastian Bunk, Mohammad B Hossain, Andrea Mayer-Mokler, Arun Satelli, Norbert Hilf, Steffen Walter, Cedrik M Britten, Van K Morris, Tobias A W Holderried, Winfried H Alsdorf, Katrin Wetzko, Borje S Andersson, Sandra Grund-Gröschke, Katrin Aslan, Anantha Marisetty, Swapna Satam, Jens Hukelmann, M Alper Kursunel, Karine Pozo, Andreas Acs, Melissa Baumeister, Claudia Wagner, Oliver Schoor, Ali S Mohamed, Delfi Krishna

    Published 2024-07-01
    “…We investigated the safety and tolerability of IMA202 in a first-in-human, dose escalation basket trial in human leucocyte antigen A*02:01 positive patients with melanoma-associated antigen A1 (MAGEA1)-positive advanced solid tumors.Trial design The 2+2 trial design was an algorithmic design based on a maximally acceptable dose-limiting toxicity (DLT) rate of 25% and the sample size was driven by the algorithmic design with a maximum of 16 patients. …”
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  5. 11245

    Plot-Rice v1.0: A global plot-based rice benchmark dataset with spatiotemporal heterogeneity for scientific deep learning by Ji Ge, Hong Zhang, Wenjiang Huang, Zihuan Guo, Lu Xu, Yazhe Xie, Mingyang Song, Yinhaibin Ding, Chao Wang

    Published 2025-06-01
    “…The absence of a global, standardized satellite dataset for rice mapping benchmarking has long resulted in both substantial redundant data processing efforts and challenges in evaluating new algorithms under a unified benchmark. …”
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  6. 11246

    “Dictionary of immune responses” reveals the critical role of monocytes and the core target IRF7 in intervertebral disc degeneration by Peichuan Xu, Peichuan Xu, Kaihui Li, Jinghong Yuan, Jinghong Yuan, Jiangminghao Zhao, Jiangminghao Zhao, Huajun Pan, Huajun Pan, Chongzhi Pan, Chongzhi Pan, Wei Xiong, Wei Xiong, Jianye Tan, Jianye Tan, Tao Li, Tao Li, Guanfeng Huang, Guanfeng Huang, Xiaolong Chen, Xiaolong Chen, Xinxin Miao, Dingwen He, Xigao Cheng, Xigao Cheng

    Published 2024-10-01
    “…Cell–cell communication analysis uncovered alteration in ANNEXIN pathway and a reduction in CXCL signaling between macrophages and monocytes, suggesting immune response dysregulation. Furthermore, ten algorithms identified three hub genes. Both experiments conducted in vitro and in vivo have conclusively shown that IRF7 serves as a crucial target for the treatment of IDD, and its knockdown alleviates IDD. …”
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  7. 11247

    Potential Modulatory Roles of Gut Microbiota and Metabolites in the Associations of Macronutrient‐to‐Physical Activity Ratios With Dyslipidemia by Menghan Wang, Guoqing Ma, Yunfeng Li, Junqi Li, Jiawen Xie, Juan He, Chen He, Yifei He, Kaizhen Jia, Xinran Feng, Tian Tian, Hongbao Li, Xia Liao, Xin Liu

    Published 2025-05-01
    “…Furthermore, we identified 9 metabolites (eg, acetyl phosphate, glycerol, and pyruvic acid), predominantly enriched in dyslipidemia‐related pathways and associated with both core gut microbial taxa and macronutrient‐to‐PA ratios. …”
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  8. 11248
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  10. 11250
  11. 11251

    AI-powered literature search: some observations and concerns by Farooq Azam Rathore, Fareeha Farooq

    Published 2024-12-01
    “…This raises questions both about the quality and authenticity of the generated summaries and recommendations. …”
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  12. 11252
  13. 11253

    Incidence and Predictors of Acute Kidney Injury Following Advanced Ovarian Cancer Cytoreduction at a Tertiary UK Centre: An Exploratory Analysis and Insights from Explainable Artif... by Elizabeth Ratcliffe, Ciara Devlin, Sarika Munot, Timothy Broadhead, Amudha Thangavelu, Michela Quaranta, David Nugent, Evangelos Kalampokis, Diederick De Jong, Alexandros Laios

    Published 2025-01-01
    “…This study aimed to investigate the incidence of AKI and identify preoperative and intraoperative predictors in patients undergoing advanced EOC cytoreduction using both traditional statistics and Artificial Intelligence (AI) modelling. …”
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  14. 11254
  15. 11255

    An Efficient Analytical Method for Determining the Effects of Silver Nanoparticles on Vibrio parahaemolyticus in Estuarine Water by Xiangyi HOU, Xiaoyang WANG, Yuanyuan ZHANG, Ruohan LIANG, Feng LU, Qianqian YANG, Xiaodan PU, Yan ZHANG, Keming QU, Xuzhi ZHANG

    Published 2025-04-01
    “…Based on a 32-channel C4 detector and special algorithms, we developed a 32-channel electronic microbial growth analyzer (EMGA). …”
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  16. 11256
  17. 11257
  18. 11258

    Prognostic and immunological implications of cathepsin Z overexpression in prostate cancer by Junyue Tao, Junyue Tao, Junyue Tao, Yiding Chen, Yiding Chen, Yiding Chen, Xiaokang Bian, Xiaokang Bian, Xiaokang Bian, Tingting Cai, Tingting Cai, Tingting Cai, Changhao Song, Changhao Song, Changhao Song, Chaozhao Liang, Chaozhao Liang, Chaozhao Liang, Zongyao Hao, Zongyao Hao, Zongyao Hao, Jialing Meng, Jialing Meng, Jialing Meng, Qintao Ge, Qintao Ge, Jun Zhou, Jun Zhou, Jun Zhou

    Published 2025-06-01
    “…Functional studies were conducted through a series of experiments, including CCK-8 assay, colony formation, wound healing, and Transwell migration assays. ssGSEA and CIBERSORT algorithms immune infiltration evaluation, and GISTIC2.0 and MutSigCV for tumor mutation burden. …”
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  19. 11259
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