Showing 1,181 - 1,200 results of 2,381 for search '"labelling"', query time: 0.05s Refine Results
  1. 1181

    Resolving a Multi-Generational Neuromuscular Mystery in a Family Presenting with a Variable Scapuloperoneal Syndrome in a c.464G>A, p.Arg155His VCP Mutation by Nivedita U. Jerath

    Published 2019-01-01
    “…A 55-year-old woman was labeled as “normal” and “pain medication seeking” after an unrevealing work up of clinical, laboratory, electrodiagnostic, radiographic, pathologic, and genetic testing. …”
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  2. 1182

    Transformative Cyber Marketing: Fostering Regional Growth and Engagement by Nana Storada Dwi Martadi, Mohamad Sidiq, Inaya Sari Melati

    Published 2024-01-01
    “…Employing social network analysis (SNA) through the Net-Map tool, the study introduced an innovative cyber marketing approach, labeled as Semarang Cyber Marketing (SCyMark), designed to meet the unique requirements of the region. …”
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  3. 1183

    Study Questions for the Certified Pesticide Applicator Examination: Natural Areas Weed Management by Ken A. Langeland

    Published 2005-08-01
    “…For some questions you will need a copy of a Garlon 4 herbicide label, which can be obtained from http://www.cdms.net/manuf/manuf.asp. …”
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  4. 1184

    Ramiro Ledesma Ramos: años de literatura (1924-1930) by José-Carlos Mainer

    Published 2015-03-01
    “…His 1924 novel, "El sello de la muerte" ("The label of the death"), expressively dedicated to Unamuno, recreates the autobiography of a hard life's writer who, in the moment of accomplishing fame, commits suicide. …”
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  5. 1185
  6. 1186

    Does Consumers' Awareness Impact Their Purchase Likelihood of Neonic-Free Plants? by Hayk Khachatryan, Alicia L. Rihn

    Published 2017-02-01
    “…Consumer awareness of neonic pesticides increases the purchase likelihood for plants that are labeled “neonic-free,” and, as consumer awareness of neonics increases, demand for plants may decrease if there is limited availability of neonic-free options. …”
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  7. 1187

    Unconventional Nuclides for Radiopharmaceuticals by Jason P. Holland, Matthew J. Williamson, Jason S. Lewis

    Published 2010-01-01
    “…Until recently, the majority of clinical and basic science research has focused on the development of 11 C-, 13 N-, 15 O-, and 18 F-radiopharmaceuticals for use with positron emission tomography (PET) and 99m Tc-labeled agents for use with single-photon emission computed tomography (SPECT). …”
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  8. 1188

    Terminological Resources for Biologically Inspired Design and Biomimetics: Evaluation of the Potential for Ontology Reuse by Dilek Yargan, Ludger Jansen

    Published 2025-01-01
    “…Our analysis shows that existing terminological resources have little to no potential for reuse due to inconsistent structure, ambiguous class labels, lack of standardisation, and lack of availability. …”
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  9. 1189
  10. 1190

    Anti-CD20 Treatment of Autoimmune Hemolytic Anemia Refractory to Corticosteroids and Azathioprine: A Pediatric Case Report and Mini Review by Alexandros Makis, Zoi Kanta, Dimitrios Kalogeropoulos, Nikoloaos Chaliasos

    Published 2018-01-01
    “…Another second-line option is rituximab, an anti-CD20 monoclonal antibody, which has been used as an off-label agent with encouraging results from small limited studies or case reports. …”
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  11. 1191

    Machine learning empowered coherent Raman imaging and analysis for biomedical applications by Yihui Zhou, Xiaobin Tang, Delong Zhang, Hyeon Jeong Lee

    Published 2025-01-01
    “…An increasingly adopted approach involves the utilization of molecular vibrational spectroscopy, which delivers notable advantages such as label-free imaging, high spectral density, high sensitivity, and molecule specificity. …”
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  12. 1192

    Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks by Mikhail Krivonosov, Tatiana Nazarenko, Vadim Ushakov, Daniil Vlasenko, Denis Zakharov, Shangbin Chen, Oleg Blyus, Alexey Zaikin

    Published 2024-12-01
    “…To apply Geometric Deep Learning we propose a synolitic or ensemble graph representation of the data, a universal method that transforms any multidimensional dataset into a network, utilising only class labels from training data. The paper demonstrates the effectiveness of this approach through two classification tasks: synthetic and fMRI data from cognitive tasks. …”
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  13. 1193

    Scoring rubric design to measure the ability to prove plane geometry problems not accompanied by image visualization by I Putu Wisna Ariawan, I Made Ardana, Dewa Gede Hendra Divayana, I Made Sugiarta

    Published 2024-02-01
    “…These include sub-aspects of image accuracy and completeness of labels, initial steps of proving, preparation of conjectures, flow of proving, and support for valid arguments for statements made. …”
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  14. 1194

    Discrimination between the facial gestures of vocalising and non-vocalising lemurs and small apes using deep learning by Filippo Carugati, Olivier Friard, Elisa Protopapa, Camilla Mancassola, Emanuela Rabajoli, Chiara De Gregorio, Daria Valente, Valeria Ferrario, Walter Cristiano, Teresa Raimondi, Valeria Torti, Brice Lefaux, Longondraza Miaretsoa, Cristina Giacoma, Marco Gamba

    Published 2025-03-01
    “…Deep learning techniques can help discriminate facial configurations associated with vocalisations over large datasets. We extracted and labelled frames of different primate species, trained deep-learning models to identify key points on their faces, and computed distances between them to identify facial gestures. …”
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  15. 1195

    Fluorescence Lifetime Endoscopy with a Nanosecond Time-Gated CAPS Camera with IRF-Free Deep Learning Method by Pooria Iranian, Thomas Lapauw, Thomas Van den Dries, Sevada Sahakian, Joris Wuts, Valéry Ann Jacobs, Jef Vandemeulebroucke, Maarten Kuijk, Hans Ingelberts

    Published 2025-01-01
    “…With advancements in imaging technology and new fluorescent labels, fluorescence lifetime imaging is gradually gaining recognition. …”
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  16. 1196

    Synaptic Structure and Function in the Mouse Somatosensory Cortex during Chronic Pain: In Vivo Two-Photon Imaging by Sun Kwang Kim, Kei Eto, Junichi Nabekura

    Published 2012-01-01
    “…Recent advances in two-photon microscopy and fluorescence labeling techniques have enabled us to directly see the structural and functional changes in neurons and glia, and even at synapses, in the brain of living animals. …”
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  17. 1197

    Health State Prediction and Performance Evaluation of Belt Conveyor Based on Dynamic Bayesian Network in Underground Mining by Xiangong Li, Yuzhi Zhang, Yu Li, Yujie Zhan, Lin Yang

    Published 2021-01-01
    “…First, the belt conveyor sensor monitoring data are preprocessed to obtain the feature data set with labels. At the same time, qualitative and quantitative analyses and interval discretization are carried out from belt conveyor fault-causing elements to construct the DBN network. …”
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  18. 1198

    Chinese Unknown Word Recognition for PCFG-LA Parsing by Qiuping Huang, Liangye He, Derek F. Wong, Lidia S. Chao

    Published 2014-01-01
    “…The method is mainly to propagate lexical emission probabilities to unknown words by building the similarity graphs over the words of labeled and unlabeled data. The derived distributions are incorporated into the parsing process. …”
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  19. 1199

    A novel framework for face recognition using robust local representation–based classification by Aihua Yu, Gang Li, Beiping Hou, Hongan Wang, Gaoya Zhou

    Published 2019-03-01
    “…The open-universe test on labeled faces in the wild data sets shows that the recognition rate of the proposed system can reach 95% with a recall rate of 80%, which is best among those representation-based classification face recognition systems.…”
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  20. 1200

    Using HBmito Crimson to Observe Mitochondrial Cristae Through STED Microscopy by Xichuan Ge, Wei Ren, Chunyan Shan, Peng Xi, Baoxiang Gao

    Published 2025-01-01
    “…Here, we describe a detailed imaging protocol for the mitochondrial inner membrane using the Si-rhodamine dye HBmito Crimson, which has excellent photophysical properties, to label live cells for imaging via stimulated emission depletion (STED) microscopy. …”
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