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  1. 20661
  2. 20662

    Climate change promotes shifts of summer maize yield and water productivity in the Weihe River Basin: A regionalization study based on a distributed crop model by Wenxin Xie, Hui Ran, Anni Deng, Kunhao Jiang, Han Ru, Ning Yao, Jianqiang He, Tehseen Javed, Xiaotao Hu

    Published 2025-06-01
    “…This study employed a two-stage evaluation process to select four global climate models (GCMs) from a pool of 13 GCMs, based on four shared socio-economic pathways (SSP1–2.6, SSP2–4.5, SSP3–7.0 and SSP5–8.5). A comparative analysis of the average weighted fusion method and the least squares weighted fusion method revealed that the latter was more suitable for future solar radiation data fusion. …”
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  3. 20663

    Divide-and-conquer strategy with engineered ossification center organoids for rapid bone healing through developmental cell recruitment by Xianzhu Zhang, Wei Jiang, Xinyu Wu, Chang Xie, Yi Zhang, Liying Li, Yuqing Gu, Zihao Hu, Xinrang Zhai, Renjie Liang, Tao Zhang, Wei Sun, Jinchun Ye, Wei Wei, Xiaozhao Wang, Yi Hong, Shufang Zhang, Youzhi Cai, Xiaohui Zou, Yihe Hu, Hongwei Ouyang

    Published 2025-07-01
    “…Furthermore, cross-species comparisons employing machine learning reveal high resemblance of the relative Krt8+ SSCs/Has1+ MFs composition in bone regeneration with that in public data from developmental bone tissues. …”
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  4. 20664

    A BASE NACIONAL COMUM CURRICULAR E EDUCAÇÃO NO/DO CAMPO: uma relação de (in)consistência by Raimunda Aurea Dias de Sousa, Alberto Filho Coelho Amorim

    Published 2021-04-01
    “…This research was developed with students and teachers of the state school Malaquias Mendes da Silva, located in the District of Rajada - Petrolina - PE, based on the quantitative / qualitative analysis of the data collected. With the results, it became clear that the National Curricular Common Base, being created to guide education throughout the country, the learning opportunities, as advertising in the media, will not be the same, since the field has specifics that differentiate them from the city. …”
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  5. 20665

    Predicting hepatocellular carcinoma outcomes and immune therapy response with ATP-dependent chromatin remodeling-related genes, highlighting MORF4L1 as a promising target by Chao Xu, Litao Liang, Guoqing Liu, Yanzhi Feng, Bin Xu, Deming Zhu, Wenbo Jia, Jinyi Wang, Wenhu Zhao, Xiangyu Ling, Yongping Zhou, Wenzhou Ding, Lianbao Kong

    Published 2025-01-01
    “…Methods This study integrated bioinformatics analyses and experimental approaches to explore the role of ACRRGs in HCC. We utilized data from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO), applying machine learning algorithms to develop a prognostic model based on ACRRGs’ expression. …”
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  6. 20666

    Virtual Nephron: Evaluation of a Novel Virtual Reality Educational Tool by Georges N. Nakhoul, Jonathan J. Taliercio, Elias H. Bassil, Susana Arrigain, Jesse D. Schold, Richard Wardrop, John O’Toole, Joseph V. Nally, S. Beth Bierer, John R. Sedor, Ali Mehdi

    Published 2024-09-01
    “…Sessions were recorded and transcribed verbatim. Data was analyzed through the content analysis approach by two independent reviewers. …”
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  7. 20667

    Drivers of the spatiotemporal distribution of dissolved nitrous oxide and air–sea exchange in a coastal Mediterranean area by S. Flecha, M. de la Paz, F. F. Pérez, N. Marbà, C. Morell, E. Alou-Font, J. Tintoré, J. Tintoré, I. E. Hendriks

    Published 2025-07-01
    “…A consistent seasonal pattern was noted during the study period. Machine learning analysis indicated that seawater temperature was the primary factor influencing <span class="inline-formula">N<sub>2</sub>O</span> concentrations, with lesser contributions from chlorophyll levels and salinity.…”
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  8. 20668

    Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Lan Zhou, Shichao Long, Mengsi Li, Linhui Zhong, Aerzuguli Abudulimu, Wenguang Liu, Deng Pan, Ganmian Dai, Yigang Pei, Wenzheng Li

    Published 2024-12-01
    “…Radiomic features were extracted from intratumoral and peritumoral regions of interest and analyzed using machine learning algorithms to develop a predictive classifier. …”
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  9. 20669

    Temporal Muscle Thickness as a New Biomarker: Its Association With Alzheimer Pathology and Cognitive Impairment in Chinese Adults by Yunxia Zhu, Yingying Ke, Chenxi Ren, Jiehua Zhu, Zhen Zhang, Liang Cui, Yuehua Li, Fang Xie, Qihao Guo

    Published 2025-08-01
    “…Methods This study was a cross‐sectional substudy of the Chinese preclinical AD study, which included data from 801 participants. TMT was measured using cranial magnetic resonance imaging. …”
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  10. 20670
  11. 20671

    Neuronal expression of CaMKⅡ and BDNF isoforms in mice with cognitive dysfunction induced by repetitive mild traumatic brain injury by LIU Dianqing, LIU Dianqing, LI Yun, LI Yun, ZHANG Jietao

    Published 2025-06-01
    “…From the 30th day after the end of modeling, Morris water maze test was applied to evaluate the spatial learning and memory abilities, and the relative data was evaluate for correlation analysis. …”
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  12. 20672

    Screen time exposure and academic performance, anxiety, and behavioral problems among school children by Mohammad Sidiq, Balamurugan Janakiraman, Faizan Kashoo, Rayan Jastania, Abdullah Ibrahim Alhusayni, Abdullah Alzahrani, Aksh Chahal, Alagappan Thiyagarajan, Imran Khan, Chandan Kumar, Rajkumar Krishnan Vasanthi, Fahad Alanazi, Mehrunnisha Ahmad, Chhavi Arora Sehgal, Shabnam Khan, Mshari Alghadier

    Published 2025-05-01
    “…Background The growth of the digital landscape has surely outpaced research on the effects of screen media on the health, learning, and development of children. The potential risk-to-benefit ratio of screen media exposure for education and entertainment purposes warrants further exploration. …”
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  13. 20673
  14. 20674

    Impact of environmental pollution on human health: Investigating the role of Polycyclic Aromatic Hydrocarbons in pediatric osteosarcoma by Mingxian Xu, Yu Xu, Yaping Huang, Jixiang Shi, Lifeng Yin, Jian Tu, Junqiang Yin, Changye Zou

    Published 2025-09-01
    “…Among these, ACTB, EGFR, and JUN were identified as key prognostic genes through survival analysis and machine learning models. These genes were enriched in oncogenic pathways, including the PI3K-Akt signaling pathway. …”
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  15. 20675
  16. 20676

    Turning challenges into opportunities: Lessons from Ethiopia's COVID-19 response for strengthening health systems and health security. by Muluneh Yigzaw Mossie, Jenny Shannon, Amare Bayeh Desta, Etsub Brhanesilassie, Adugna Dufera, Saira Nawaz

    Published 2025-01-01
    “…Study tools were informed by the Consolidated Framework for Implementation Research and WHO pillars. Quantitative data were analyzed using descriptive statistics, while qualitative data underwent framework analysis, followed by synthesis and triangulation. …”
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  17. 20677

    Migrant families with children in Montreal, Canada and transnational family support: a protocol for a focused ethnography by Mónica Ruiz-Casares, Lisa Merry, Jill Hanley, Isabelle Archambault, Dominic Mogere

    Published 2019-09-01
    “…From the perspective of migrant families and their family back home, the objectives of this study are to (1) identify the types and ways that transnational family support is provided to migrant families in Canada; (2) assess for patterns in the data that may suggest variations in the nature of this support (eg, by migration status, time in Canada, children’s ages, family circumstances) and over time and (3) explore the impact (positive and negative) in receiving and providing transnational support, respectively.Methods and analysis A focused ethnography is planned. …”
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  18. 20678

    AGW-YOLO-Based UAV Remote Sensing Approach for Monitoring Levee Cracks by HU Weibo, ZHOU Shaoliang, ZHAO Erfeng, ZHAO Xueqiang

    Published 2025-01-01
    “…To enhance the dataset's generalization performance, various data augmentation techniques, including random image rotation, were applied. …”
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  19. 20679

    AI-ready rectal cancer MR imaging: a workflow for tumor detection and segmentation by Heather M. Selby, Yewon A. Son, Vipul R. Sheth, Todd H. Wagner, Erqi L. Pollom, Arden M. Morris

    Published 2025-03-01
    “…By combining the radiologist's clinical expertise with the data scientists’ imaging analysis skills, we sought to establish a foundation for future AI-driven approaches that streamline rectal tumor detection and segmentation, and optimize workflow efficiency. …”
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  20. 20680

    A Novel Bearing Fault Diagnosis Methodology Based on SVD and One-Dimensional Convolutional Neural Network by Yangyang Wang, Shuzhan Huang, Juying Dai, Jian Tang

    Published 2020-01-01
    “…Through qualitative analysis and quantitative analysis, it was found that the convolution kernel not only extracted the classification features of signals but also gradually highlighted the learned features in the network training process. …”
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