Search alternatives:
functions » function (Expand Search)
Showing 1,661 - 1,680 results of 1,810 for search '((( resource OR source) detection functions ) OR ( sources detection functions ))', query time: 0.32s Refine Results
  1. 1661
  2. 1662

    Elevated heterotrophic activity in Guaymas Basin hydrothermal plumes influences deep-sea carbon cycling by Andrew Montgomery, Guang-Chao Zhuang, Zhichao Zhou, Marguerite V. Langwig, María del Carmen Millán-Motolinía, Hannah Y. L. Choi, Kimberley S. Hunter, Carlos A. Mortera-Gutiérrez, Christelle Hyacinthe, Zachary Marinelli, Karthik Anantharaman, Andreas Teske, Samantha B. Joye

    Published 2025-05-01
    “…Metatranscriptomic analysis of functional genes for heterotrophic metabolisms implicates Gammaproteobacteria and diverse heterotrophs in hydrothermally-sourced organic carbon degradation. …”
    Get full text
    Article
  3. 1663

    SIMPLE: Simple Intensity Map Producer for Line Emission by Maja Lujan Niemeyer, José Luis Bernal, Eiichiro Komatsu

    Published 2023-01-01
    “…Simple can be applied to any spectral line sourced by galaxies. The Simple code is based on lognormal mock catalogs of galaxies including positions and velocities and assigns luminosities following the luminosity function. …”
    Get full text
    Article
  4. 1664

    Development and validation of liquid–liquid phase separation-associated prognostic biomarkers in gastric cancer by Donghui Liu, Mingzhu Liu, Juan Du

    Published 2025-05-01
    “…Abstract Objective Liquid–liquid phase separation (LLPS) is the membrane-less formation of functional assemblies from specific molecules. It plays a key role in tumor growth by governing gene expression. …”
    Get full text
    Article
  5. 1665

    Multimodal versus non-contrast computed tomography for assessment of acute ischaemic stroke: the PRACTISE RCT by Keith W Muir, Salwa El Tawil, Alex McConnachie, Alicia Murray, Ian Ford, Grant Mair, Joanna Wardlaw

    Published 2025-06-01
    “…This difference could be detected with 80% power at p = 0.05 with 152 subjects per group. …”
    Get full text
    Article
  6. 1666

    Neonatal Microcephaly and Central Nervous System Abnormalities During the Zika Outbreak in Rio de Janeiro by Marlos Melo Martins, Roberto de Andrade Medronho, Carlos Eduardo Raymundo, Arnaldo Prata-Barbosa, Antonio José Ledo Alves da Cunha

    Published 2025-01-01
    “…This retrospective cohort study analyzed 7870 pregnant women, including 2269 with confirmed Zika virus (ZIKV) infection and 5601 without Zika infection, along with their fetuses and newborns. Data were sourced from multiple databases in the state of Rio de Janeiro, Brazil. …”
    Get full text
    Article
  7. 1667

    Effects of aspirin and omega-3 fatty acids on age-related macular degeneration in ASCEND-Eye: a randomised placebo-controlled trial in a population with diabetes by Praveen Patel, Rory Collins, Richard Peto, Mark Davies, Sanjiv Banerjee, David Simpson, John Anderson, Louise Bowman, Peter Scanlon, Amanda Adler, Andrew Farmer, Helen Cook, Laura Evans, Elizabeth Williamson, Louis Bolter, Jane Armitage, Peter Sandercock, Richard Gray, Nilesh Samani, Tasso Gazis, Richard Haynes, Arun Sachdev, Eric Wu, Elizabeth Wincott, Peter Sleight, Colin Baigent, Marion Mafham, Sarah Parish, Gavin Brown, Susan Hurley, Lynne Allsop, William Stevens, Theingi Aung, Allen Young, Emily Sammons, Georgina Buck, Imen Hammami, Jill Barton, Jonathan Bodansky, Roger McPherson, Lucy Fletcher, Murphy Kevin, Ryonfa Lee, Sandra Pickworth, Monica Willett, Michael Lay, Ola Murawska, Karen Melham, Jonathan Latham-Mollart, Anna Brewer, Mike Olson, Jude Kay, Alisha Griffiths, Helen Clayton, Philip Kirby, Mike Pennington, Dominic Clarke, Jenny Anslow, Alex Hallam, Jenny Witts, Sarah Egan, Alex Wharton, Amy Derbyshire, Katherine Hepplestone, Sujit Mithra, Su Oliver, Pauline Wiatrak-Olszewska, Kelly Alvey, Nick Gregory, Priyai Parkinson, Prema Maharajan, Rachel McFee, Donna Sowter, John Featonby, Richard Furnival, Helen Lipinski, Hazel Benjamin, Tanisha McAfee, Emma Payne Payne, Liz Still

    Published 2025-02-01
    “…Reports of AMD diagnoses were sourced from 6 monthly ASCEND follow-up questionnaires and a Visual Function Questionnaire.Participants 15 480 UK adults at least 40 years of age with diabetes but no evident cardiovascular disease.Interventions 100 mg aspirin daily versus placebo and, separately, 1 g omega-3 FAs daily versus placebo.Main outcome measure The first post-randomisation reports of AMD.Results During 7.4 years of follow-up, 122 (1.6%) participants randomised to aspirin were reported as having AMD, compared with 138 (1.8%) randomised to placebo (rate ratio 0.88; 95% CI 0.69 to 1.12; p=0.31). …”
    Get full text
    Article
  8. 1668

    LIFE CYCLE ASSESSMENT IN HEALTHCARE SYSTEM OPTIMIZATION. INTRODUCTION by V. Sarancha, K. Vitale, S. Oreskovic, V. Sulyma

    Published 2015-03-01
    “…Various factors and parameters that may influence effectiveness of different sectors in healthcare system are detected. Performance optimization of detected parameters could lead to better system functioning, higher patient safety, economic sustainability and reduce resources consumption.…”
    Get full text
    Article
  9. 1669
  10. 1670
  11. 1671
  12. 1672
  13. 1673

    Survey on Backdoor Attacks on Deep Learning: Current Trends, Categorization, Applications, Research Challenges, and Future Prospects by Muhammad Abdullah Hanif, Nandish Chattopadhyay, Bassem Ouni, Muhammad Shafique

    Published 2025-01-01
    “…Such attacks are usually referred to as Trojan or backdoor attacks and are very stealthy and hard to detect. In this paper, we highlight the complete attack surface that can be exploited to inject hidden malicious functionality (backdoors) in machine learning models. …”
    Get full text
    Article
  14. 1674
  15. 1675
  16. 1676

    Non-invasive biopsy diagnosis of diabetic kidney disease via deep learning applied to retinal images: a population-based study by Ziyao Meng, MEng, Zhouyu Guan, MD, Shujie Yu, MBBS, Yilan Wu, BSc, Yaoning Zhao, BSc, Jie Shen, PhD, Cynthia Ciwei Lim, MMed, Tingli Chen, MD, Dawei Yang, PhD, An Ran Ran, PhD, Feng He, MSc, Haslina Hamzah, BSc, Sarkaaj Singh, MSc, Anis Syazwani Abd Raof, MSc, Jian Wen Samuel Lee-Boey, MBBS, ProfMBBS Soo-Kun Lim, MBBS, ProfMD Xufang Sun, MBBS, Shuwang Ge, MD, ProfMD Gang Xu, MD, Prof Hua Su, MD, Yang Cheng, MD, Feng Lu, PhD, ProfPhD Xiaofei Liao, PhD, ProfPhD Hai Jin, PhD, Chenxin Deng, MMed, Lei Ruan, MD, ProfMD Cuntai Zhang, MD, Chan Wu, MD, ProfMD Rongping Dai, MD, Yixiao Jin, MSc, Wenxiao Wang, PhD, Tingyao Li, BSc, Ruhan Liu, PhD, Jiajia Li, PhD, Jia Shu, BEng, Yuwei Lu, MBBS, Xiangning Wang, MD, Qiang Wu, MD, Yiming Qin, BEng, Jin Tang, MD, Xiaohua Sheng, MD, Qiong Jiao, MD, ProfPhD Xiaokang Yang, MD, ProfPhD Minyi Guo, MD, Gareth J McKay, PhD, ProfPhD Ruth E Hogg, PhD, Gerald Liew, MBBS, Evelyn Yi Lyn Chee, PhD, ProfPhD Wynne Hsu, PhD, ProfPhD Mong Li Lee, PhD, Simon Szeto, MBChB, ProfMD Andrea O Y Luk, MBChB, ProfMD Juliana C N Chan, MBChB, Carol Y Cheung, PhD, Gavin Siew Wei Tan, FRCSEd, Yih-Chung Tham, PhD, ProfMD PhD Ching-Yu Cheng, PhD, Charumathi Sabanayagam, MD PhD, ProfPhD Lee-Ling Lim, MD PhD, ProfMD PhD Weiping Jia, MD PhD, ProfMD PhD Huating Li, MD PhD, Bin Sheng, Prof, Tien Yin Wong, Prof

    Published 2025-05-01
    Get full text
    Article
  17. 1677

    EZSCAN for undiagnosed type 2 diabetes mellitus: A systematic review and meta-analysis. by Antonio Bernabe-Ortiz, Andrea Ruiz-Alejos, J Jaime Miranda, Rohini Mathur, Pablo Perel, Liam Smeeth

    Published 2017-01-01
    “…<h4>Objectives</h4>The EZSCAN is a non-invasive device that, by evaluating sweat gland function, may detect subjects with type 2 diabetes mellitus (T2DM). …”
    Get full text
    Article
  18. 1678
  19. 1679
  20. 1680