Showing 1,661 - 1,680 results of 1,810 for search '((( source OR resource) detection functions ) OR ( sources detection function ))', query time: 0.21s Refine Results
  1. 1661

    A Jurisprudential and Legal Inquiry into the Foundations and Limits of the Liability of Manufacturers of Internet of Things Devices by Zahra Sadat Mirhashemi, Fatemeh Najib Zadeh, Moein Gholamalipour

    Published 2025-03-01
    “…Their responsibility lies in certifying products and ensuring they meet safety standards. Failure to detect defects can render them liable for damages, which introduces an additional layer of accountability and encourages rigorous regulatory oversight.     …”
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  2. 1662

    Regulation of land use conflicts at indigenous peoples lands based on blockchain platform, russian arctic case study by A. V. Evseev, T. M. Krasovskaya, V. S. Tikunov, I. N. Tikunova

    Published 2023-01-01
    “…The procedure of conflict detection and forecast for a certain territory is based on separate data sets analysis by independent stakeholders. …”
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  3. 1663

    Molecular organization of the nanoscale surface structures of the dragonfly Hemianax papuensis wing epicuticle. by Elena P Ivanova, Song Ha Nguyen, Hayden K Webb, Jafar Hasan, Vi Khanh Truong, Robert N Lamb, Xiaofei Duan, Mark J Tobin, Peter J Mahon, Russell J Crawford

    Published 2013-01-01
    “…The molecular organization of the epicuticle (the outermost layer) of insect wings is vital in the formation of the nanoscale surface patterns that are responsible for bestowing remarkable functional properties. Using a combination of spectroscopic and chromatographic techniques, including Synchrotron-sourced Fourier-transform infrared microspectroscopy (FTIR), x-ray photoelectron spectroscopy (XPS) depth profiling and gas chromatography-mass spectrometry (GCMS), we have identified the chemical components that constitute the nanoscale structures on the surface of the wings of the dragonfly, Hemianax papuensis. …”
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  4. 1664

    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. …”
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  5. 1665

    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. …”
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  6. 1666

    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. …”
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  7. 1667

    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. …”
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  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.…”
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  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. …”
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    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
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  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). …”
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