Showing 5,401 - 5,420 results of 5,605 for search 'features detection analysis', query time: 0.24s Refine Results
  1. 5401

    Elucidating the interplay between metabolites and microorganisms in the spermosphere of common bean (Phaseolus vulgaris L.) seeds by Chandrodhay Saccaram, Marie Simonin, Stéphanie Boutet, Céline Brosse, Shuang Peng, Tracy François, Boris Collet, François Perreau, Delphine Sourdeval, Coralie Marais, Matthieu Barret, Loïc Rajjou, Massimiliano Corso

    Published 2025-08-01
    “…Through an integrated approach, we explored the metabolomic and microbiota composition in the spermosphere of germinating common bean seeds and elucidated their environmental and genotype regulation. We detected and analyzed 2,467 metabolite features (Mf) through untargeted metabolomics categorized into fourteen metabolic categories, highlighting the prevalence of amino acids, flavonoids, and terpenoids. …”
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    Article
  2. 5402

    High Trop-2 expression in pulmonary sarcomatoid carcinoma reveals antibody–drug conjugate targeting Trop-2 is a promising therapeutic approach by Xiaoying Qian, Chuanhong Luo, Chen Fang, Yongbin Wu, Weiwei Hong, Biao Yu, Guizhen Qin, Yan Yin, Xinyuan Yao, Xin Ye, Bingbiao Zhou, Chengsi Shu, Dengying Chen, Zhaoqing Li, Shanshan Wang, Yong Wang, Yong Li

    Published 2025-07-01
    “…Materials and methods Surgical tissue specimens diagnosed with PSC from January 2015 to May 2023 were retrospectively collected to detect Trop-2 expression using immunohistochemistry. …”
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    Article
  3. 5403
  4. 5404

    Characterization of the small RNAs carried by outer membrane vesicles produced by hlyF-positive Shiga toxin-producing Escherichia coli by Giorgia Barbieri, Giorgia Barbieri, Alessia Stefano, Agostina Pietrantoni, Federica Fratini, Serena Cavallero, Rosangela Tozzoli, Paola Chiani, Arianna Boni, Stefano Morabito, Valeria Michelacci

    Published 2025-08-01
    “…The OMVs collected were analyzed by Nanoparticle Tracking Analysis (NTA) and Electron Microscopy (EM) to define their morphology, size and concentration. …”
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    Article
  5. 5405

    Hederasaponin C ameliorates chronic obstructive pulmonary disease pathogenesis by targeting TLR4 to inhibit NF-κB/MAPK signaling pathways by Yujie Ning, Liting Huang, Qin-Qin Wang, Lina Liu, Xinghua Ni, Xiaoyun Xie, Jingyu Liu, Qian Su, Shilin Yang, Renyikun Yuan, Hongwei Gao

    Published 2025-07-01
    “…Binding affinity between HSC and TLR4 was evaluated using molecular docking, SPR analysis, and CETSA. DNA methylation at MUC-5B chr11:1243469 position was detected using an Agilent 2100 Bioanalyzer. …”
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    Article
  6. 5406
  7. 5407
  8. 5408

    Peri-coronary adipose tissue attenuation and its association with plaque vulnerability and clinical outcomes in coronary artery disease using combined CCTA and OCT by Caifeng Yang, Chancui Deng, Jie Xia, Sha Wang, Long Zhang, Zhijiang Liu, Wei Zhang, Yi Deng, Shiwan Lu, Guanxue Xu, Bei Shi

    Published 2025-05-01
    “…In conclusion, the high-attenuation group exhibited more OCT-detected features indicative of vulnerable plaques and a higher frequency of MACE events relative to the low-attenuation group. …”
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    Article
  9. 5409

    The state of lipid metabolism in patients with acute coronary syndrome and chronic kidney disease depending on glomerular filtration rate and smoking factor by O. V. Yadzhyn, T. M. Solomenchuk

    Published 2024-10-01
    “…Aim. To study the features of lipid metabolism disorders in patients with acute coronary syndrome (ACS), depending on glomerular filtration rate (GFR) and smoking factor. …”
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    Article
  10. 5410

    Expression of CIP2A and CD44v6 in condyloma acuminatum-involved skin and its correlation with patients' prognosis by ZHANG Yijie, YANG Can, LIN Yongli

    Published 2024-08-01
    “…Real-time fluorescence quantitative PCR was used to detect the expression levels of CIP2A and CD44v6 mRNA in the tissue specimens. …”
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    Article
  11. 5411

    IDIOPATHIC LOBULAR PANNICULITIS IN RHEUMATOLOGY PRACTICE: THE AUTHORS’ OWN DATA by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

    Published 2018-07-01
    “…The disease was found in all age groups, but it accounted for more than half (57%) of cases at the most able-bodied age (45–60 years). Analysis of the clinical manifestations of ILP could identify its four types: nodular (n=30), plaque (n=10), infiltrative (n= 5), and mesenteric (n=12), which were characterized by typical clinical features. …”
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    Article
  12. 5412

    Circular RNA hsa_Circ_0007552 inhibits lung adenocarcinoma proliferation, migration and invasion via the miR-7974/BAP1 axis by Yanping Lin, Rong Li, Xin Shen, Mingjin Wu, Jiadai Tang, Jiangyan Guo, Caixin Yin, Tingrong Xia, Dongqi Li, Fengdi Hu, Yedan Liao, Rui Li, Lin Xie

    Published 2025-08-01
    “…Western blot was performed to detect the protein expression of BAP1.ResultsCirc_0007552 exhibited low expression in LUAD tissues and cells, correlating with clinicopathological features such as tumor size, lymph node metastasis, clinical stage, and poor prognosis. …”
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    Article
  13. 5413

    Clinical implications of proximal tubular multicilia in glomerular diseases by Bohye Kim, Boram Weon, Evonne Kim, Sohee Park, Wencheng Jin, Nayeon Shin, Yun Kyu Oh, Chun Soo Lim, Jung Pyo Lee, Obin Kwon, Jeonghwan Lee

    Published 2025-02-01
    “…The relationship between the MCC ratio and kidney disease-related clinical features was then analyzed. Results: MCCs were exclusively detected in patients with glomerular diseases (68.3 %), not those in the control group. …”
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    Article
  14. 5414

    Coal gangue image recognition model based on improved U−Net and top coal caving control by Yong YUAN, Zhenghan QIN, Yongqi XIA, Rang WU, Libao LI, Yong LI

    Published 2025-05-01
    “…An advanced U−Net−based coal gangue segmentation model has been developed, incorporating Feature Pyramid Networks (FPN) and Atrous Spatial Pyramid Pooling (ASPP). …”
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    Article
  15. 5415

    Infant Type Ia Supernovae from the KMTNet. I. Multicolor Evolution and Populations by Yuan Qi Ni, Dae-Sik Moon, Maria R. Drout, Youngdae Lee, Patrick Sandoval, Jeehye Shin, Hong Soo Park, Sang Chul Kim, Kyuseok Oh

    Published 2025-01-01
    “…Seven are detected ≲1 day (as early as ≲1 hr) since the estimated epoch of first light and the rest ≲3 days. …”
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  16. 5416

    Identification and preclinical efficacy evaluation of two lytic bacteriophages targeting highly virulent and multidrug-resistant Klebsiella pneumoniae by Ai Guo, Dianbao Zuo, Li Shi, Ming Guo, Jinquan Li, Caili Li, Puqing Wang, Xiaodong Sun, Ming Sang

    Published 2025-08-01
    “…More importantly, we established the murine pneumonia infection models through nasal instillation, assessed the therapeutic potential of the phage in vivo by observing pathological morphology via HE staining, detecting pro-inflammatory cytokine levels via qPCR and ELISA, and monitoring bacterial load changes in lung tissue through PCR analysis. …”
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    Article
  17. 5417

    Characterization of full-length long noncoding RNAs and identification of virus-responsive lncRNAs in Sogatella furcifera by Yawen Ban, Yawen Ban, Ting Cui, Ting Cui, Lifei Zhao, Lifei Zhao, Xue Li, Xue Li, Qing Bai, Qing Bai, Qingfa Wu, Qingfa Wu

    Published 2025-07-01
    “…These lncRNAs displayed canonical features, including lower GC content, shorter transcript length, and fewer exons. …”
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    Article
  18. 5418

    Towards interpretable drug interaction prediction via dual-stage attention and Bayesian calibration with active learning by Rongpei Li, Yufang Zhang, Heqi Sun, Shenggeng Lin, Guihua Jia, Yitian Fang, Chen Zhang, Xiaotong Song, Jianwei Zhao, Lyubin Hu, Yajing Yuan, Xueying Mao, Jiayi Li, Aman Kaushik, Dandan An, Dongqing Wei

    Published 2025-04-01
    “…Bayesian calibration improved adverse event detection accuracy (94% vs. 54% AUC), while network pharmacology revealed key molecular mechanisms through enzyme-transporter interactions. …”
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    Article
  19. 5419

    PERIODONTOLOGICAL STATUS OF PATIENTS WITH DENTOMAXIMAL ANOMALIES BEFORE ORTHODONTIC TREATMENT by V.S. Melnyk, K.V. Zombor, S.V. Melnyk

    Published 2022-09-01
    “…A special place among the factors contributing to the development of gum recession is occupied by anatomical and physiological features: the biotype of the gums, the volume and bone loss of the alveolar process of the jaw. …”
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    Article
  20. 5420