Showing 4,101 - 4,120 results of 4,968 for search 'data set detection', query time: 0.17s Refine Results
  1. 4101
  2. 4102

    Research Progress and Prospect of Multi-robot Collaborative SLAM in Complex Agricultural Scenarios by MA Nan, CAO Shanshan, BAI Tao, KONG Fantao, SUN Wei

    Published 2024-11-01
    “…The study analyzes the advantages and limitations of multi-robot SLAM, as well as its applicability and application scenarios in agriculture, focusing on four key components: multi-sensor data fusion, collaborative localization, collaborative map building, and loopback detection. …”
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  3. 4103
  4. 4104

    The Establishment of Expanded Newborn Screening in Rural Areas of a Developing Country: A Model from Health Regions 7 and 8 in Thailand by Khunton Wichajarn, Nopporn Sawatjui, Prinya Prasongdee, Amrin Panklin, Kanda Sornkayasit, Natchita Chungkanchana, Supharada Tessiri, Preawwalee Wintachai, Sumalai Dechyotin, Chalanda Pasomboon, Jilawaporn Ratanapontee, Sureerat Thanakitsuwan, Aree Rattanathongkom

    Published 2025-04-01
    “…Expanded newborn screening (NBS) programs are essential for early detection and treatment. This study highlights the implementation of an expanded NBS program for inborn errors of metabolism (IEMs) and congenital hypothyroidism (CH) in rural Thailand, focusing on Health Regions 7 and 8 as a model for resource-limited settings. …”
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  5. 4105

    Nutritional Optimization for Brain Health in Contact Sports: A Systematic Review and Meta-Analysis on Long-Chain ω-3 Fatty Acids and Neurofilament Light by Jeffery L Heileson, Michael J Macartney, Nora L Watson, Tina E Sergi, Andrew R Jagim, Ryan Anthony, Gregory E Peoples

    Published 2024-10-01
    “…One-stage meta-analysis of individual participant-level data was used to detect changes in Nf-L concentrations between LC ω-3 PUFA and control/placebo (PL) groups from baseline to midseason (MS) and postseason (PS). …”
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  6. 4106

    Bioinformatics and Network Pharmacology Identify the Therapeutic Role of Guominkang in Allergic Asthma by Inhibiting PI3K/Akt Signaling by Zhang H, Zhang H, Wang L, Zhang Y, Hu L, Liu J, Zhou Y, Wang J

    Published 2025-02-01
    “…The expression of PI3K and AKT proteins in lung tissues was then detected by Western blotting. Subsequently, the GSE104468 data were normalised and visualised using the R language, compared to the PI3K-Akt pathway gene set to identify overlapping genes, constructed a PPI network and analysed correlations between genes.Results: 267 compounds and 475 disease-relevant GMK targets have been obtained, primarily in the areas of chemokine binding, drug binding, and PI3K-Akt pathway modulation. …”
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  7. 4107

    A comprehensive analysis identified an autophagy-related risk model for predicting recurrence and immunotherapy response in stage I lung adenocarcinoma by Hongmei Zheng, Songqing Fan, Hongjing Zang, Jiadi Luo, Long Shu, Jinwu Peng

    Published 2025-05-01
    “…Methods Gene expression data were obtained from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) database. …”
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  8. 4108

    The potential utility of synovial C-reactive protein, interleukin-6, and presepsin in diagnostics of periprosthetic joint infection by Lyudmila V. Lyubimova, Svetlana I. Pavlova, Nikolay S. Nikolaev, Evgeniy A. Lyubimov, Nadezhda N. Pchelova, Vladimir Y. Emelianov

    Published 2024-12-01
    “…The aim of the study was to determine threshold values for C-reactive protein, interleukin-6, and presepsin levels, and to assess their diagnostic value in detecting periprosthetic joint infection. Methods. …”
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  9. 4109

    Bulk and single-cell RNA sequencing identify prognostic signatures related to FGFBP2+ NK cell in hepatocellular carcinoma by Yinbing Wu, Huanjun Peng, Guangkang Chen, Yinuo Tu, Xinpei Yu

    Published 2025-05-01
    “…As a specific immune cell subpopulation, FGFBP2+ NK cells play a crucial part in immune surveillance of HCC progression. This study set out to identify prognostic signature related to FGFBP2+ NK cell in HCC. …”
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  10. 4110

    Identification of novel metabolism-related biomarkers of Kawasaki disease by integrating single-cell RNA sequencing analysis and machine learning algorithms by Chenhui Feng, Zhimiao Wei, Xiaohui Li, Xiaohui Li

    Published 2025-04-01
    “…Identifying signature cells and genes related to BAM and FAM could offer a deeper understanding of their role in the pathogenesis of KD.MethodWe analyzed the public single-cell RNA sequencing (scRNA-seq) dataset GSE1687323 to characterize the immune cell-type landscape in KD. Gene sets related to BAM and FAM were collected from the Gene Set Enrichment Analysis (GSEA) database and previous literature. …”
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  11. 4111

    Exploring the role of methylation-driven gene IFFO1 in pancreatic adenocarcinoma diagnosis, prognosis and cellular functions by XU Ziqi, HU Ruizhi, LI Junjian, WANG Hongxia, SANG Youzhou

    Published 2024-11-01
    “…Methods: mRNA expression data (TCGA-PAAD-mRNA), DNA methylation data (TCGA-PAAD-meth, GSE53051, PACA-AU) of PAAD and adjacent normal tissues, as well as DNA methylation data of healthy individuals’ blood (GSE69270), were obtained from the The Cancer Genome Atlas (TCGA), International Cancer Genome Consortium (ICGC) and Gene Expression Omnibus (GEO) databases. …”
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  12. 4112
  13. 4113

    Does Size Matter? A Retrospective Study Analysing the Size of PI-RADS 4 Lesions and Its Associated Prostate Cancer Positivity with Transperineal Prostate Biopsy by Hooshyari A, Scholtz D, Maoate K, Robertson S, Vermeulen LP, De Andrade LGM, Kawano PR, Gilling P, Fraundorfer M, Vasconcelos Ordones F

    Published 2025-02-01
    “…This study aims to find a size threshold associated with CSPCa within the PI-RADS 4 group, which may be used in combination with other prostatic parameters, such as PSA density in order to help with risk stratification and patient counselling in the pre-biopsy setting. This may also aid with surveillance of smaller PI-RADS 4 lesions in the setting of a negative biopsy and avoid unnecessary repeat biopsies unless triggered by a size threshold.Methods: A retrospective study was performed with data from 407 patients undergoing transperineal prostate biopsy (TPPB) between April 2022 and November 2023. …”
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  14. 4114

    Comparative nutrient and sensory analysis of eight different commercial Chlorella powders by Felix Melcher, Tillmann Peest, Tillmann Peest, Diego Garay, Diego Garay, Florian Utz, Florian Utz, Michael Paper, Andrea Spaccasassi, Andrea Spaccasassi, Lisa Obermaier, Jennifer Schneiderbanger, Max Koch, Daniel Garbe, Tom Nilges, Thomas Becker, Michael Rychlik, Corinna Dawid, Corinna Dawid, Wolfram M. Brück, Nikolaus I. Stellner, Nikolaus I. Stellner, Thomas B. Brück

    Published 2025-06-01
    “…The comparative nutrient- and sensory data set presented in this study will aid in selecting algae products for the development of innovative foods, thereby accelerating adoption and differentiation of algae food products.…”
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  15. 4115

    Structural changes in endocrine pancreas of male Wistar rats due to chronic cola drink consumption. Role of PDX-1. by Gabriel Cao, Julián González, Juan P Ortiz Fragola, Angélica Muller, Mariano Tumarkin, Marisa Moriondo, Francisco Azzato, Manuel Vazquez Blanco, José Milei

    Published 2021-01-01
    “…Likewise, a mild but significant decrease of in Vi was detected after 6 months in C compared to W group (8.2±2.5; p<0.05). …”
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  16. 4116
  17. 4117

    Extracellular vesicle digital scoring assay for assessment of treatment responses in hepatocellular carcinoma patients by Chen Zhao, Yi-Te Lee, Andrew Melehy, Minhyung Kim, Jacqueline Ziqian Yang, Ceng Zhang, Jina Kim, Ryan Y. Zhang, Junseok Lee, Hyoyong Kim, Yong Ju, Yuan-Jen Tsai, Xianghong Jasmine Zhou, Steven-Huy B. Han, Saeed Sadeghi, Richard S. Finn, Sammy Saab, David S. Lu, Jason Chiang, Jae-Ho Park, Todd V. Brennan, Steven A. Wisel, Manaf Alsudaney, Alexander Kuo, Walid S. Ayoub, Hyunseok Kim, Hirsh D. Trivedi, Yun Wang, Aarshi Vipani, Irene K. Kim, Tsuyoshi Todo, Justin A. Steggerda, Georgios Voidonikolas, Kambiz Kosari, Nicholas N. Nissen, Rola Saouaf, Amit G. Singal, Myung Shin Sim, David A. Elashoff, Sungyong You, Vatche G. Agopian, Ju Dong Yang, Hsian-Rong Tseng, Yazhen Zhu

    Published 2025-05-01
    “…Results HCC EV TR Scores, calculated from pre- and post-treatment plasma samples in the phase-2 case–control study, accurately differentiated post-treatment viable from nonviable HCC in the training (area under the ROC curve [AUROC] of 0.90, n = 49) and validation set (AUROC of 0.88, n = 51). At an optimal cutoff of 0.76 identified in the training set, HCC EV TR Score had high accuracy in detecting viable tumors (sensitivity: 76.5%, specificity: 88.2%) and found residual disease not initially observed on MRI in six patients with a median lead time of 63 days. …”
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  18. 4118
  19. 4119

    A validated heart-specific model for splice-disrupting variants in childhood heart disease by Robert Lesurf, Jeroen Breckpot, Jade Bouwmeester, Nour Hanafi, Anjali Jain, Yijing Liang, Tanya Papaz, Jane Lougheed, Tapas Mondal, Mahmoud Alsalehi, Luis Altamirano-Diaz, Erwin Oechslin, Enrique Audain, Gregor Dombrowsky, Alex V. Postma, Odilia I. Woudstra, Berto J. Bouma, Marc-Phillip Hitz, Connie R. Bezzina, Gillian M. Blue, David S. Winlaw, Seema Mital

    Published 2024-10-01
    “…Conclusions A new cardiac-specific in silico model was developed using complementary GS and RNA-Seq data that improved genetic yield by identifying a significant burden of non-canonical splice variants associated with CHD that would not be detectable through panel or exome sequencing.…”
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  20. 4120

    MetALD: Clinical aspects, pathophysiology and treatmentKeypoints by Jordi Gratacós-Ginès, Silvia Ariño, Pau Sancho-Bru, Ramon Bataller, Elisa Pose

    Published 2025-02-01
    “…Subsequent studies have investigated the prevalence of MetALD, which ranges from 1.7% to 17% in cohorts of patients with steatotic liver disease, depending on the population setting and study design. A few cohort studies have also assessed the prognosis of this patient population, with preliminary data suggesting that MetALD is associated with an intermediate risk of liver fibrosis, decompensation and mortality among steatotic liver disease subtypes. …”
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