Showing 54,801 - 54,820 results of 56,754 for search 'data developing analysis', query time: 0.56s Refine Results
  1. 54801

    Early detection of emerging SARS-CoV-2 Variants from wastewater through genome sequencing and machine learning by Xiaowei Zhuang, Van Vo, Michael A. Moshi, Ketan Dhede, Nabih Ghani, Shahraiz Akbar, Ching-Lan Chang, Angelia K. Young, Erin Buttery, William Bendik, Hong Zhang, Salman Afzal, Duane Moser, Dietmar Cordes, Cassius Lockett, Daniel Gerrity, Horng-Yuan Kan, Edwin C. Oh

    Published 2025-07-01
    “…To build our model, we sequence 3659 wastewater samples collected over two years from urban and rural locations in Southern Nevada. We then develop a multivariate independent component analysis (ICA)-based pipeline to transform mutation frequencies into independent sources. …”
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  2. 54802

    Application of Convolutional Neural Networks in an Automatic Judgment System for Tooth Impaction Based on Dental Panoramic Radiography by Ya-Yun Huang, Yi-Cheng Mao, Tsung-Yi Chen, Chiung-An Chen, Shih-Lun Chen, Yu-Jui Huang, Chun-Han Chen, Jun-Kai Chen, Wei-Chen Tu, Patricia Angela R. Abu

    Published 2025-05-01
    “…With the advancement of artificial intelligence (AI), the integration of clinical data and AI-driven analysis presents significant potential for supporting medical applications. …”
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  3. 54803
  4. 54804

    Method to analyse and quantify the propensity of hair dyes to desorb from human hair fibre by Kristina Hetherington, Alenka Tidder, Bethany J. Tack, Meryem Benohoud, Dan Nowlan, Anwar Zahar, Xiaoguang Li, Darcy Prater, Jeanna C. Zguris, Tanu Tokle, Christopher M. Rayner, Richard S. Blackburn

    Published 2025-07-01
    “…Through screening of common back-extraction methods used in analysis of dyed textile artefacts, a new back-extraction methodology has been developed and adapted for application on dyed hair using a 2:1 (v/v) water:pyridine solvent system. …”
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  5. 54805

    Physical education curriculum systematizing based on action research: a collaborative network between teacher-researchers from public schools in Quixadá — Ceará, Brazil by Rener Victor Oliveira de Souza, Maurício Teodoro de Souza, Luciano Nascimento Corsino, Willian Lazaretti da Conceição, Carla Ulasowicz, Luciana Venâncio, Luciana Venâncio, Luiz Sanches Neto, Luiz Sanches Neto

    Published 2025-01-01
    “…Our qualitative itinerary has action research as a method of intervention, including class observations, group meetings and field diary. Data has been analyzed through thematic analysis, characterizing a collaborative network between participants. …”
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  6. 54806

    Upregulation of long noncoding RNA zinc finger antisense 1 enhances epithelial–mesenchymal transition in vitro and predicts poor prognosis in glioma by Qiao-Li Lv, Shu-Hui Chen, Xue Zhang, Bao Sun, Lei Hu, Qiang Qu, Yuan-Tao Huang, Gui-Hua Wang, Yan-Ling Liu, Ying-Ying Zhang, Hong-Hao Zhou

    Published 2017-03-01
    “…Multivariate Cox regression analysis provided a clue that, probably, zinc finger antisense 1 level could serve as an independent prognostic factor for glioma. …”
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  7. 54807
  8. 54808

    A phase separation-related gene signature for prognosis prediction and immunotherapy response evaluation in gastric cancer with targeted natural compound discovery by Yanjuan Jia, Yuanyuan Ma, Zhenhao Li, Wenze Zhang, Rukun Lu, Wanxia Wang, Chaojun Wei, Chunyan Wei, Yonghong Li, Xiaoling Gao, Tao Qu

    Published 2025-07-01
    “…Results By Integrating analysis of the differential expression dataset from TCGA-STAD (n = 407, 375 tumor/32 normal) with prognosis-related dataset and PS-related dataset, we identified 78 candidate genes and developed a robust 21-gene risk prediction model. …”
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  9. 54809

    Functional Liver Imaging Score to Predict Clinically Significant PHLF for Hepatocellular Carcinoma After Resection by Zheng X, Zhang Y, Huang H, Luo N

    Published 2025-07-01
    “…Multivariate analysis identified FLIS, major resection and ALBI score as independent predictors of clinically significant PHLF, and a model combining these three variables predicted failure in the development cohort (AUC 0.746, 95% CI 0.673– 0.820) and internal validation cohort (AUC 0.717, 95% CI 0.595– 0.838). …”
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  10. 54810
  11. 54811

    Features of “Inverted” Educational Resources for Distance Learning of Pupils by D. A. Barkhatova, A. L. Simonova, P. S. Lomasko, L. B. Khegay

    Published 2021-08-01
    “…Based on a theoretical analysis of psychological, pedagogical, methodological literature on the topic of research and modern statistical data demonstrating the level of readiness and motivation of students for independent distance learning, the paper describes the features of the structure and content of “inverted” educational resources, built taking into account the cognitive and psychosocial characteristics of modern “digital” generation. …”
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  12. 54812
  13. 54813
  14. 54814

    Nécropoles multipolaires et élaboration d’un nouveau modèle socio-politique au premier âge du Fer : réflexions à partir des sites du Camp de l’Église Sud à Flaujac-Poujols (Lot) et... by Antoine Dumas

    Published 2021-12-01
    “…The chronological information may then be considered. The topographical development of each site is shown to be consistent with the hypothesis that several distinct groups of burials existed, meaning that both sites developed following a multipolar pattern. …”
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  15. 54815

    Unveiling biomarkers via plasma metabolome profiling for diabetic macrovascular and microvascular complications by Zhixi Li, Yuhan Ren, Feng Jiang, Kai Zhang, Xuan Meng, Yingfeng Zheng, Mingguang He

    Published 2025-08-01
    “…Methods This study included 333,870 participants from the UK Biobank (n = 115,078) and FinnGen Biobank (n = 218,792). The initial analysis utilizing longitudinal data from 7,711 patients with diabetes was used to screen 249 plasma metabolites associated with diabetic vascular complications. …”
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  16. 54816

    Methylation and gene expression patterns in adamantinomatous craniopharyngioma highlight a panel of genes associated with disease progression-free survival by Junier Marrero-Gutiérrez, Ana Carolina Bueno, Ana Carolina Bueno, Clarissa Silva Martins, Rui Milton Patrício Silva-Júnior, Antônio Carlos dos Santos, Marcelo Volpon Santos, Luiz Eduardo Wildemberg, Ximene Lima da Silva Antunes, Monica R. Gadelha, Ayrton Custodio Moreira, Ricardo Zorzetto Nicoliello Vêncio, Sonir Roberto R. Antonini, Margaret de Castro

    Published 2025-06-01
    “…Functional enrichment analysis highlighted key roles in synaptic modulation, nervous system development, cell adhesion, as well as pathways linked to RAS signaling, GTPase activity, and membrane potential regulation.ConclusionAlthough clinical characteristics were largely comparable between the clusters, ACP-B patients exhibited shorter median progression-free survival, suggesting a more aggressive phenotype. …”
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  17. 54817

    Organic bistable memory devices utilizing PMMA polymer matrix-based ZnOC60 core-shell QDs nanocomposites by Jaeho Shim, Jinseo Park, Seok-Ho Seo, Ju Hee You, Dong Ick Son

    Published 2025-08-01
    “…The devices achieved a high ON/OFF current ratio of 7.46 × 103, demonstrated exceptional cycling endurance exceeding 1.5 × 104 cycles, and exhibited long-term retention surpassing 1.2 × 105 s. Detailed analysis of current-voltage (I-V) data highlighted Fowler-Nordheim (F-N) tunneling as a key mechanism facilitating efficient memory operation. …”
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  18. 54818

    Results of monitoring probable cases of acute severe hepatitis of unknown etiology in children in Мoscow in 2022 by М. А. Sayfullin, L. N. Mazankova, A. Yu. Rtischev, E. N. Abramova, N. A. Antypyat, N. N. Zvereva, O. A. Ivanova, M. A. Kolikova, A. A. Rakhalina, K. K. Rumyantseva, A. A. Samkov, I. N. Tyurin

    Published 2024-11-01
    “…Еpidemiological data (age, gender, parenteral manipulations, contacts with patients, travel abroad), clinical (fever, jaundice, etc.), laboratory parameters were assessed. …”
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  19. 54819

    Nomogram predicting overall survival of stage IIIB non‐small‐cell lung cancer patients based on the SEER database by Ziye Li, Pingfan Shi, Chenge Qin, Wen Zhang, Shumeng Lin, Tiansheng Zheng, Ming Li, Lihong Fan

    Published 2025-03-01
    “…The nomogram was evaluated for predictive ability using receiver operating characteristic (ROC) curves, decision curve analysis curve (DCA), and clinical impact curve (CIC). …”
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  20. 54820

    Prediction of summer precipitation via machine learning with key climate variables:A case study in Xinjiang, China by Chenzhi Ma, Junqiang Yao, Yinxue Mo, Guixiang Zhou, Yan Xu, Xuemin He

    Published 2024-12-01
    “…To train the ML model, we used precipitation data from 1961 to 2012, whilst the forecast results from 2013 to 2017 were used for validation. …”
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