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Showing 221 - 240 results of 2,685 for search '(( sources detection functions\ ) OR (( resource OR success) detection function\ ))', query time: 0.22s Refine Results
  1. 221

    Analytical Model and Gas Leak Source Localization Based on Acoustic Emission for Cylindrical Storage by Jun-Gill Kang, Kwang Bok Kim, Kyung Hwan Koh, Bong Ki Kim

    Published 2025-05-01
    “…A theoretical model is presented for the accurate detection of a gas leak source through a pinhole in a cylindrical storage vessel using the acoustic emission (AE) technique. …”
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  2. 222
  3. 223

    A review of non-exhaust emissions on pavement area: Sources, compositions, evaluation and mitigation by Chuan He, Wei Jiang, Qingyi Xiao, Chengwei Xing, Dongdong Yuan, Rong Lu, Wangjie Wu

    Published 2024-12-01
    “…Non-exhaust particles can be classified into organic, inorganic, and metal matter, each requiring a distinct analysis and detection method. The effective approaches to managing non-exhaust emissions include water cleaning, utilizing functional pavement materials, and applying chemical reagents to alleviate emission capacity. …”
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  4. 224

    Background of standardization and regulation of training and use of pharmaceutical regular resource potential in XI–XVI centuries by M. S. Ponomarenko, O. S. Soloviov, T. M. Krasnianska, Yu. M. Grygoruk

    Published 2016-08-01
    “…The main stages of development of the property (material) and human resources to provide medical treatment and patients have been detected. …”
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  5. 225

    An enhanced dual detection of DMB-labeled sialic acids using high-resolution accurate mass spectrometry and fluorescence detection by Takayuki Omoto, Nao Yamakawa, Di Wu, Hitoshi Mori, Ushio Takeda, Masaya Hane, Ken Kitajima, Chihiro Sato

    Published 2025-01-01
    “…Sialic acids are important glycan components not only in the conformation of the structure but also in functions of many biological activities. Detection methods for sialic acid have been developed, and fluorescent labeling of sialic acids with 1,2-diamino-4,5-methylenedioxybenzene (DMB) is the best method for its analysis. …”
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  6. 226
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    ENDOCRINE PANCREATIC FUNCTION IN ACUTE PANCREATITIS by P. V. Novokhatny

    Published 2014-02-01
    “…In a significant proportion of patients who recovered from acute pancreatitis, exocrine and endocrine functional impairments were found. This finding was not detected only in patients after severe acute pancreatitis. …”
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  8. 228

    DOG: An Object Detection Adversarial Attack Method by Jinpeng Li, Xiaoyu Ji, Wenyuan Xu, Yushi Cheng

    Published 2025-01-01
    “…Experimental results demonstrate that the DOG performs exceptionally well across the three image classification networks and six object detection networks. In white-box conditions, the attack success rate exceeds 97%, whereas in black-box conditions, it reaches over 51%, showing good generality and efficiency. …”
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  9. 229

    General Framework for Domain-Specialization of Stance Detection by Brodie Mather, Bonnie J Dorr, Owen Rambow, Tomek Strzalkowski

    Published 2021-04-01
    “…The notions purpose and function serve as natural constraints on the choice of belief categories during resource building which, in turn, constrains stance detection. …”
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  10. 230

    Teucrium polium L.: A natural source of antioxidants and a potential UV protector. by Sarra Lamari, Ahmed Dekak, Sameh Boukhedir, Chawki Bensouici, Tarek Hamel, Imededdine Kadi

    Published 2025-05-01
    “…UV-VIS-NIR spectroscopy detected the presence of conjugated compounds, especially flavonoids and phenolic acids, in the MeOH and DCM extracts. …”
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  11. 231
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    OpDetect: A convolutional and recurrent neural network classifier for precise and sensitive operon detection from RNA-seq data. by Rezvan Karaji, Lourdes Peña-Castillo

    Published 2025-01-01
    “…Identifying which genes belong to the same operon facilitates understanding of gene function and regulation. There are several computational approaches for operon detection; however, many of these computational approaches have been developed for a specific target bacterium or require information only available for a restricted number of bacterial species. …”
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  13. 233

    Adult limbal neurosphere cells: a potential autologous cell resource for retinal cell generation. by Xiaoli Chen, Heather Thomson, Jessica Cooke, Jennifer Scott, Parwez Hossain, Andrew Lotery

    Published 2014-01-01
    “…Following culture with developing mouse retinal cells, we detected retinal progenitor cell markers, mature retinal/neuronal markers and sensory cilia in the majority of mouse LNS experiments. …”
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  14. 234

    Binocular Vision-Based Target Detection Algorithm by Huiguo Zhang

    Published 2025-01-01
    “…In addition, to solve the key problems in the detection process, the Feffol model adopts the Focal Loss and CIoU Loss functions. …”
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  15. 235

    Systematic investigation of photon strength functions with monochromatic γ-ray beams by Gheorghe Ioana, Aumann Thomas, Baumann Martin, van Beek Patrick, Kuchenbrod Philipp, Lalić Nikolina, Scheit Heiko, Symochko Dmytro, Wang Hongwei, Fan Gongtao, Nishio Katsuhisa, Ohtsuki Tsutomu, Suzaki Fumi, Hirose Kentaro, Inagaki Makoto, Ari-izumi Takashi, Garrote Frank L. Bello, Bjørøen Marianne, Eriksen Tomas, Ingeberg Vetle Wegner, Paulsen Wanja, Pedersen Line G., Reaz Fardous, Belyshev Sergey, Stopani Konstantin, Lui Yiu-Wing, Filipescu Dan, Tudora Anabella, Goriely Stephane, Miyamoto Shuji, Utsunomiya Hiroaki

    Published 2025-01-01
    “…Following the main objective of the IAEA Coordinated Research Project on Photonuclear Data and Photon Strength Functions (Code F41032; Duration 2016-2019), new measurements of photoneutron and photofission cross sections in the Giant Dipole Resonance energy region have been performed at the laser Compton-scattering γ-ray source of the NewSUBARU synchrotron radiation facility. …”
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  16. 236

    Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana) by Jinjin Chen, Xuejian Li, Zihao Huang, Jie Xuan, Chao Chen, Mengchen Hu, Cheng Tan, Yongxia Zhou, Yinyin Zhao, Jiacong Yu, Lei Huang, Meixuan Song, Huaqiang Du

    Published 2025-05-01
    “…Therefore, monitoring forest age is a crucial element of forest resource surveys. With the increased availability of high-quality open-access satellite data and advancements in Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) technology, remote sensing has emerged as an essential method for acquiring accurate forest age information. …”
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  17. 237

    A Successful Living Donor Liver Transplantation Using Hepatic Iron Deposition Graft Suspected by Magnetic Resonance Imaging by Nobuhiko Kurata, Masato Shizuku, Kanta Jobara, Yoji Ishizu, Masatoshi Ishigami, Yasuhiro Ogura

    Published 2023-01-01
    “…Recently, magnetic resonance imaging (MRI) has been developed as a widely available and noninvasive method for detecting and evaluating hepatic iron overload. This case report presents a successful living donor liver transplantation (LDLT) in which the donor was suspected to have hepatic iron deposition by MRI evaluation. …”
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  18. 238
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    Successful surgical procedure based on careful preoperative imaging for chronic idiopathic colonic pseudo-obstruction: a case report by Kosuke Yoshimura, Hiroki Ohge, Norimitsu Shimada, Shinnosuke Uegami, Yusuke Watadani, Ikki Nakashima, Toshinori Hirano, Hiroki Kitagawa, Yuki Kaiki, Shinya Takahashi

    Published 2020-10-01
    “…Herein, we report a patient with recurrent laxative-uncontrolled bowel obstruction, who underwent successful treatment with laparoscopic total colectomy based on preoperative detailed evaluation of bowel function. …”
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  20. 240

    Estimating Finite Source Effects in Microlensing Events due to Free-Floating Planets with the Euclid Survey by Lindita Hamolli, Mimoza Hafizi, Francesco De Paolis, Achille A. Nucita

    Published 2015-01-01
    “…We find a significant efficiency for finite source effect detection that turns out to be between 20% and 40% for a FFP power law mass function index in the range [0.9, 1.6]. …”
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