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  1. 701

    The interplay between gender-based workplace prejudice and girls’ occupational choice at Bahir Dar polytechnic college by Melaku Mengistu Gebremeskel

    Published 2023-06-01
    “…The analysis and interpretation of data demonstrated that the gender-based workplace labeling has put over its own impact on the professional choice of girls in the college. …”
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    Article
  2. 702

    Deformable Models for Segmentation of CLSM Tissue Images and Its Application in FISH Signal Analysis by P. S. Umesh Adiga, B. B. Chaudhuri

    Published 1999-01-01
    “…Three‐dimensional region isolation and labeling technique is used to label and count the FISH signals per cell nucleus. …”
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  3. 703

    Catechin-Albumin Conjugates: Enhanced Antioxidant Capacity and Anticancer Effects by Tooru Ooya, Izumi Haraguchi

    Published 2022-01-01
    “…Intracellular incorporation of the CT–HSA was analyzed by fluorescence-activated cell sorting (FACS) and confocal laser scanning microscopy (CLSM) measurements using fluorescein isothiocyanate (FITC)-labelled CT–HSA. The results indicated that the FITC-labelled CT–HSA was incorporated into HeLa cells in a concentration-dependent manner. …”
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  4. 704

    Suspension of Mitotic Activity in Dentate Gyrus of the Hibernating Ground Squirrel by Victor I. Popov, Igor V. Kraev, Dmitri A. Ignat'ev, Michael G. Stewart

    Published 2011-01-01
    “…Our data suggest that doublecortin-labelled immature cells exist in a mitotic state and may represent a renewable pool for generation of new neurons within the dentate gyrus.…”
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  5. 705

    A comprehensive review of Interferometric Reflectance Imaging Sensor as a sensitive detection platform and its application areas by Monireh Bakhshpour-Yucel, Nese Lortlar Unlu, Elif Seymour, Adil Denizli

    Published 2025-03-01
    “…The Interferometric Reflectance Imaging Sensor (IRIS) technology represents a significant advancement in biosensing, providing a label-free, selective, sensitive, and high-throughput platform for detecting molecular interactions. …”
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    Article
  6. 706

    Robust Framework to Combine Diverse Classifiers Assigning Distributed Confidence to Individual Classifiers at Class Level by Shehzad Khalid, Sannia Arshad, Sohail Jabbar, Seungmin Rho

    Published 2014-01-01
    “…We have presented a classification framework that combines multiple heterogeneous classifiers in the presence of class label noise. An extension of m-Mediods based modeling is presented that generates model of various classes whilst identifying and filtering noisy training data. …”
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  7. 707

    Pretraining Convolutional Neural Networks for Image-Based Vehicle Classification by Yunfei Han, Tonghai Jiang, Yupeng Ma, Chunxiang Xu

    Published 2018-01-01
    “…Through the data enhancement on manual labeled images, we got 2000 labeled images in each category of motorcycle, transporter, passenger, and others, with 1400 samples for training and 600 samples for testing. …”
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    Article
  8. 708

    Protocol for profiling RNA m5C methylation at base resolution using m5C-TAC-seq by Xiaoting Zhang, Liang Lu, Chengqi Yi, Xiaoyu Li

    Published 2025-03-01
    “…Here, we present a protocol for transcriptome-wide m5C methylome profiling at base resolution using bisulfite-free m5C detection strategy enabled by ten-eleven translocation (TET)-assisted chemical labeling sequencing (m5C-TAC-seq). We detail steps for TET-assisted chemical labeling, library construction, and data analysis. m5C-TAC-seq enables accurate and robust m5C detection in various RNA species.For complete details on the use and execution of this protocol, please refer to Lu et al.1 : Publisher’s note: Undertaking any experimental protocol requires adherence to local institutional guidelines for laboratory safety and ethics.…”
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  9. 709

    Hypergraph Regularized Discriminative Nonnegative Matrix Factorization on Sample Classification and Co-Differentially Expressed Gene Selection by Yong-Jing Hao, Ying-Lian Gao, Mi-Xiao Hou, Ling-Yun Dai, Jin-Xing Liu

    Published 2019-01-01
    “…Both the hypergraph Laplace and the discriminative label information are utilized together to learn the projection matrix in the standard method. …”
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  10. 710

    Honey-Induced Protein Stabilization as Studied by Fluorescein Isothiocyanate Fluorescence by Yin How Wong, Habsah Abdul Kadir, Saad Tayyab

    Published 2013-01-01
    “…Protein stabilizing potential of honey was studied on a model protein, bovine serum albumin (BSA), using extrinsic fluorescence of fluorescein isothiocyanate (FITC) as the probe. BSA was labelled with FITC using chemical coupling, and urea and thermal denaturation studies were performed on FITC-labelled BSA (FITC-BSA) both in the absence and presence of 10% and 20% (w/v) honey using FITC fluorescence at 522 nm upon excitation at 495 nm. …”
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  11. 711

    Textbook of surgery;

    Published 1974
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  12. 712

    SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

    Published 2025-01-01
    “…However, supervised training relying on massive labeled samples is one of its major limitations, especially for PolSAR images that are hard to manually annotate. …”
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  13. 713

    Anomaly Detection in High Mobility MDT Traces Through Self-Supervised Learning by J. M. Sanchez-Martin, C. Gijon, M. Toril, S. Luna-Ramirez, V. Wille

    Published 2025-01-01
    “…Supervised Learning (SL) allows to train automatic systems for detecting abnormal MDT measurements by using a labeled dataset. Unfortunately, labeling MDT data is a labor-intensive task, that can be alleviated by using Self-Supervised Learning (SSL). …”
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    Article
  14. 714

    Named entity recognition based on span and category enhancement for Chinese news by QI Ruiyan, LI Longjie, XU Shicheng, MA Ligong, MA Zhixin

    Published 2024-12-01
    “…Furthermore, word boundary information was introduced through precise labeling, and the entity matching strategy was optimized, effectively reducing non-entity matching caused by span decoding. …”
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  15. 715

    Numerical and Scientific Investigation of Some Molecular Structures Based on the Criterion of Super Classical Average Assignments by A. Rajesh Kannan, Nazek Alessa, K. Loganathan, Balachandra Pattanaik

    Published 2024-01-01
    “…Numerous graph assignment techniques, including distance-based labeling, topological indices, and spectral graph theory, can be used to investigate molecule structures. …”
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  16. 716

    Recommendations for Control and Mitigation of Laurel Wilt and Ambrosia Beetle Vectors in Commercial Avocado Groves in Florida by Jonathan Henry Crane, Daniel Carrillo, Edward A. Evans, Romina Gazis, Bruce A Schaffer, Fredy H Ballen Orozco, Jeff Wasielewski

    Published 2020-03-01
    “…Correction as of 3/30/2020: Under "Prophylactic Fungicide Injections," this document previously said that when using Tilt, growers needed to have in their possession a Section 18 special local needs label (SLN). This has been corrected to read that they need a Section 18 Emergency Exemption label. …”
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  17. 717

    Automatic Bandwidth Adjustment for Content Distribution in MPLS Networks by D. Moltchanov

    Published 2008-01-01
    “…Aggregates of real-time traffic may experience changes in their statistical characteristics often manifesting non stationary behavior. In multi protocol label switching (MPLS) networks this type of the traffic is assigned constant amount of resources. …”
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  18. 718

    Adaptive diagnosis method based on gearbox unbalanced fault data by TIAN Juan, XIE Gang, ZHANG Shun, WANG Yufei

    Published 2025-01-01
    “…ObjectiveThe existing intelligent fault diagnosis methods face challenges, such as model training relying on a large amount of labeled data, difficulty in obtaining fault data with different occurrence probabilities, and insufficient consideration of the impact of operating conditions. …”
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  19. 719

    Active Learning for Constrained Document Clustering with Uncertainty Region by M. A. Balafar, R. Hazratgholizadeh, M. R. F. Derakhshi

    Published 2020-01-01
    “…In each iteration, first, the support vector machine (SVM) is utilized based on the label produced by the current clustering. According to the distance of each document from the hyperplane, the distance matrix is created. …”
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  20. 720

    On the Klein–Gordon scalar field oscillators in a spacetime with spiral-like dislocations in external magnetic fields by Omar Mustafa, Abdullah Guvendi

    Published 2025-01-01
    “…Abstract We investigate the effects of two types of spiral dislocation (the distortion of the radial line, labeled as spiral dislocation I, and the distortion of a circle, labeled as spiral dislocation II) on the relativistic dynamics of the Klein–Gordon (KG) oscillator fields, both in the presence and absence of external magnetic fields. …”
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