Showing 701 - 720 results of 1,075 for search 'Datchet~', query time: 2.32s Refine Results
  1. 701

    Sistem Isyarat Bahasa Indonesia (SIBI) Metode Convolutional Neural Network Sequential secara Real Time by Oky Dwi Nurhayati, Dania Eridani, Muhammad Hafiz Tsalavin

    Published 2022-08-01
    “…This study uses 29 sign images for a dataset, consisting of 26 letters of the alphabet and 3 additional signs, namely space, delete, and unclassified. …”
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    Article
  2. 702
  3. 703

    Navigating the future of agri-food supply chain: A conceptual framework using bibliometric review by Abdul Kafi, Nizamuddin bin Zainuddin, Mohd Fitri Mansor, Mohamed Najib Bin Salleh, Adam bin Mohd Saifudin, Nurhaizal Azam Arif, Syairah Aimi Shahron, Ravi Ramasamy, Ibrahim Hassan mohamud

    Published 2025-03-01
    “…This systematic approach ensured a feasible dataset for analysis. Microsoft Excel and VOSviewer were used for an in-depth analysis of prolific authors, article trends, institutions, countries, influential articles, and source titles within the domain of AFSC. …”
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    Article
  4. 704
  5. 705

    APMAT analysis reveals the association between CD8 T cell receptors, cognate antigen, and T cell phenotype and persistence by Jingyi Xie, Daniel G. Chen, William Chour, Rachel H. Ng, Rongyu Zhang, Dan Yuan, Jongchan Choi, Michaela McKasson, Pamela Troisch, Brett Smith, Lesley Jones, Andrew Webster, Yusuf Rasheed, Sarah Li, Rick Edmark, Sunga Hong, Kim M. Murray, Jennifer K. Logue, Nicholas M. Franko, Christopher G. Lausted, Brian Piening, Heather Algren, Julie Wallick, Andrew T. Magis, Kino Watanabe, Phil Mease, Philip D. Greenberg, Helen Chu, Jason D. Goldman, Yapeng Su, James R. Heath

    Published 2025-02-01
    “…We leverage this comprehensive dataset to integrate with peptide antigen properties, TCR CDR3 sequences, and T cell phenotypes to show that distinct physicochemical features of the antigen-TCR pairs strongly associate with both T cell phenotype and T cell persistence. …”
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  6. 706
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    Co-Optimization of Power Delivery Network Design for 3-D Heterogeneous Integration of RRAM-Based Compute In-Memory Accelerators by Madison Manley, James Read, Ankit Kaul, Shimeng Yu, Muhannad Bakir

    Published 2025-01-01
    “…Using our framework, we model IR-drop and simulate its impact on the accuracy of ResNet-50 and ResNet-152 when classifying images from the ImageNet 1k dataset in the presence of injected PVT noise. We analyze the impact of through-silicon via (TSV) design and placement to optimize the IR-drop and classification accuracy. …”
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  10. 710
  11. 711

    ANO7 expression in the prostate modulates mitochondrial function and lipid metabolism by Christoffer Löf, Nasrin Sultana, Neha Goel, Samuel Heron, Gudrun Wahlström, Andrew House, Minna Holopainen, Reijo Käkelä, Johanna Schleutker

    Published 2025-02-01
    “…Methods We performed RNA-sequencing (RNA-seq) on RWPE1 cells engineered to express ANO7 protein, alongside the analysis of a single-cell RNA-sequencing (scRNA-seq) dataset and RNA-seq from prostate tissues. Differential gene expression analysis and gene set enrichment analysis (GSEA) were conducted to identify key pathways. …”
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  12. 712
  13. 713

    Identifying Organizational Factors and Components Influencing Customer Experience Management Maturity: A Meta-synthesis Approach by Payam Mardazad Navi, Kambiz Heidarzadeh Hanzaee, Seyyed Buik Mohammadi, Mohsen Khoon Siavash

    Published 2023-12-01
    “…The seven-step model of Sandlowski and Barroso (2006) was used to explain the meta-synthesis methodology. The study dataset includes 106 papers and articles published in reputable scientific journals and credible websites from 2000 to 2021. …”
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  16. 716

    Real-world enrollment for a prospective clinico-genomic database using a pragmatic technology-enabled platform by Alexia Exarchos, Ariel B. Bourla, Maneet Kaur, Katja Schulze, Sophia Maund, Yi Cao, Yihua Zhao, Elizabeth H. Williams, Sarah C. Gaffey, Richard Zuniga, Shaily Lakhanpal, Vladan Antic, Michelle Doral, Johanna Sy, Neal J. Meropol, Anne C. Chiang

    Published 2025-04-01
    “…Background: Discovery and incorporation of predictive and prognostic biomarkers enhance outcomes for patients with cancer. Clinico-genomic datasets, which retrospectively link real-world clinical data to tumor sequencing data, are important resources for biomarker research, which has historically relied on robust research infrastructures exclusive to large academic centers. …”
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  17. 717
  18. 718

    Nutritional intake of micronutrient and macronutrient and type 2 diabetes: machine learning schemes by Mohammad Rashidmayvan, Amin Mansoori, Elahe Derakhshan-Nezhad, Davoud Tanbakuchi, Fatemeh Sangin, Maryam Mohammadi-Bajgiran, Malihehsadat Abedsaeidi, Sara Ghazizadeh, MohammadReza Mohammad Taghizadeh Sarabi, Ali Rezaee, Gordon Ferns, Habibollah Esmaily, Majid Ghayour-Mobarhan

    Published 2025-02-01
    “…Method Our research explores supervised machine learning models to identify T2D patients using the Mashhad Cohort Study dataset. The study population comprised 9704 individuals aged 35–65 years were enrolled regarding their T2D status, and those with T2D history. 15% of individuals are diabetic and 85% of them are non-diabetic. …”
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