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

    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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  2. 1662

    Inference of a plume conduit beneath the Réunion Island from 3D migration of Ps conversions from the mantle transition zone by B. Padma Rao, M. Ravi Kumar

    Published 2025-03-01
    “…These maiden results shed-light on the high-temperature anomalies in the mid-mantle, probably sourced from the Réunion plume and provide evidence for the Majorite-garnet phase transformation at 660 km discontinuity. …”
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  3. 1663

    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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    MULTI-MODEL STACK ENSEMBLE DEEP LEARNING APPROACH FOR MULTI-DISEASE PREDICTION IN HEALTHCARE APPLICATION by Bhaskar Adepu, T. Archana

    Published 2025-03-01
    “…These datasets serve two functions: improving illness prediction and examining large data reservoirs to identify previously unknown disease patterns. …”
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    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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  13. 1673

    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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    Comparative Study of Fish Diversity in Wanquan River Based on Environmental Technology and Traditional Fishing Gear Survey Methods by Jun LEI, Yuanyuan SU, Lianzheng YIN, Ruohan ZENG, Ping LI, Yongqiang QIN, Xingwei CAI, Xiaoping DIAO

    Published 2025-04-01
    “…In terms of the composition of dominant species, 22 dominant species of fishes in Wanquan River were detected by eDNA technology, seven dominant species were detected by the traditional survey method and two dominant species were detected by the two methods, which were Coptodon zillii and Toxabramis houdemeri. …”
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  18. 1678

    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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