Search alternatives:
formation » information (Expand Search)
Showing 101 - 120 results of 120 for search 'play formation algorithm', query time: 0.14s Refine Results
  1. 101

    The model of focal liver lesions to test the contrast agents with ultrasound by S. V. Fomina, I. V. Sukhodolo, V. D. Zavadovskaya, I. V. Milto, L. V. Borisova

    Published 2012-10-01
    “…Actual an early and accuracy differential diagnostics of pathological processes, as the tactics of the patients depends on the nature formations. Ultrasound plays a key role in the diagnostic algorithm as it is a widely used, does not carry radiation exposure, does not require a lot of time and economic costs. …”
    Get full text
    Article
  2. 102

    PROGNOSTIC VALUE OF IMMUNOLOGICAL AND GENETIC TESTING IN THE I TRIMESTER OF PREGNANCY COMPLICATED BY SUBCHORIONIC HEMATOMA by M. V. Utrobin, S. V. Yur’ev

    Published 2017-09-01
    “…Detection of etiologic factors of miscarriage with development of preventive strategies seems reasonable.Study objective was to optimize the assessment and treatment algorithms of threatening miscarriage in the I  trimester of pregnancy with subchorionic hematoma formation.Materials and methods. 113 women with subchorionic hematoma were examined in gestational age 4 to 12 weeks. …”
    Get full text
    Article
  3. 103

    A seepage calculation method in geomaterials based on the novel improved DEM-FDM by Xuan Tang, Chong Shi, Chengfu Hu, Lingkai Zhang

    Published 2025-04-01
    “…Abstract Seepage plays a crucial role in the mechanical behavior and damage modes of geotechnical materials. …”
    Get full text
    Article
  4. 104

    MASTERING THE TOOLS OF CITATION DATABASES IN HIGHER MEDICAL EDUCATION by H. Morokhovets, Yu. Lysanets, L. Ostrovska, T. Purdenko

    Published 2019-06-01
    “…The modern tools for working with scientific information play a key role in the research activities of scientists, institutions of higher education, research institutions. …”
    Get full text
    Article
  5. 105

    Machine learning identification of a novel vasculogenic mimicry-related signature and FOXM1’s role in promoting vasculogenic mimicry in clear cell renal cell carcinoma by Chao Xu, Sujing Zhang, Jingwei Lv, Yilong Cao, Yao Chen, Hao Sun, Shengtao Dai, Bowei Zhang, Meng Zhu, Yuepeng Liu, Junfei Gu

    Published 2025-03-01
    “…Vasculogenic mimicry (VM) plays a pivotal role in tumor progression, being closely linked with heightened chemoresistance and adverse prognosis in cancer patients. …”
    Get full text
    Article
  6. 106

    SwinFishNet: A Swin Transformer-based approach for automatic fish species classification using transfer learning. by Ebru Ergün

    Published 2025-01-01
    “…Accurate fish species classification (FSC) plays a significant role in ensuring sustainability, improving food safety, and optimizing market efficiency. …”
    Get full text
    Article
  7. 107

    Microphysical detection of nano-ice nuclei to ice crystals: a platform for ice nucleation research by Devendra Pal, Ryan Hall, Yevgen Nazarenko, Leonard Barrie, Parisa A. Ariya

    Published 2025-05-01
    “…Abstract Atmospheric ice nucleation plays a crucial role in cloud formation, precipitation, and climate dynamics. …”
    Get full text
    Article
  8. 108

    Oriented ice eddy detection network based on the Sentinel-1 dual-polarization data by Jinqun Wu, Jinqun Wu, Yiqin Zheng, Tingting Wang, Chunyong Ma, Chunyong Ma, Ge Chen, Ge Chen

    Published 2025-01-01
    “…The complex convergence of cold and warm ocean currents in the Nordic Seas provides suitable conditions for the formation and development of eddies. In the Marginal Ice Zones (MIZs), ice eddies contribute to the accelerated melting of surface sea ice by facilitating vertical heat transfer, which influences the evolution of the marginal ice zone and plays an indirect role in regulating global climate. …”
    Get full text
    Article
  9. 109

    Processing streams in a monitoring cloud cluster by Alexey N. Nazarov

    Published 2020-01-01
    “…Hadoop web-programming environment is the technological basis for the development of algorithmic and software solutions for the synthesis of monitoring clusters, including information security and information counteraction systems. …”
    Get full text
    Article
  10. 110

    Application of Concentration-Area fractal modeling and artificial neural network to identify Cu, Zn±Pb geochemical anomalies in Hashtjin area, NW of Iran by Ali Imamalipour, Hamed Ebrahimi, Amir reza Abdollahpur

    Published 2024-10-01
    “…Identification of geochemical anomalies plays an essential role in mineral exploration. Recent research investigations have shown that Machine Learning (ML) algorithms can identify geochemical anomalies associated with mineralization that represent targets for mineral exploration. …”
    Get full text
    Article
  11. 111

    Structural insights into SOD1: from in silico and molecular dynamics to experimental analyses of ALS-associated E49K and R115G mutants by Seyed Mahdi Hosseini Faradonbeh, Bagher Seyedalipour, Nasrin Keivan Behjou, Kimiya Rezaei, Payam Baziyar, Saman Hosseinkhani

    Published 2025-02-01
    “…Protein stability is a crucial characteristic that influences both protein activity and structure and plays a significant role in several diseases. Cu/Zn superoxide dismutase 1 (SOD1) mutations serve as a model for elucidating the destabilizing effects on protein folding and misfolding linked to the lethal neurological disease, amyotrophic lateral sclerosis (ALS). …”
    Get full text
    Article
  12. 112

    Cloud-magnetic resonance imaging system: In the era of 6G and artificial intelligence by Yirong Zhou, Yanhuang Wu, Yuhan Su, Jing Li, Jianyu Cai, Yongfu You, Jianjun Zhou, Di Guo, Xiaobo Qu

    Published 2025-02-01
    “…Magnetic resonance imaging (MRI) plays an important role in medical diagnosis, generating petabytes of image data annually in large hospitals. …”
    Get full text
    Article
  13. 113

    An Integration of RNA Sequencing and Network Pharmacology Approaches Predicts the Molecular Mechanisms of the Huo-Xue-Shen Formula in the Treatment of Liver Fibrosis by Keying Jiang, Jianfeng Bao, Zhonghan Lou, Fei Liu, Keyang Xu, Hiu Yee Kwan

    Published 2025-02-01
    “…<b>Methods</b>: Network pharmacology, machine learning algorithms and RNA-seq were used to predict the immune-treated targets and mechanisms associated with HXS in liver fibrosis. …”
    Get full text
    Article
  14. 114

    Petrological controls on the engineering properties of carbonate aggregates through a machine learning approach by Javid Hussain, Tehseen Zafar, Xiaodong Fu, Nafees Ali, Jian Chen, Fabrizio Frontalini, Jabir Hussain, Xiao Lina, George Kontakiotis, Olga Koumoutsakou

    Published 2024-12-01
    “…Abstract Rock aggregates have been extensively exploited in the construction sector, and the associated engineering features play a critical role in their application. The main aim of this research is to assess the impact of petrographic characteristics on the engineering properties of carbonate rocks. …”
    Get full text
    Article
  15. 115

    CcpA-mediated regulation of cellular energy metabolism in the ruminal bacterium Streptococcus bovis by Yunan Weng, Yaqian Jin, Wenze Zhang, Lihong Wang, Hongrong Wang

    Published 2025-08-01
    “…Based on the random forest algorithm, glutamine and UDP-GlcNac were identified as biomarkers under varying glucose conditions and in the presence or absence of ccpA. …”
    Get full text
    Article
  16. 116

    Didgital-art цінних паперів by Oleh Kardash, Viktor Chelombitko

    Published 2021-12-01
    “…Therefore, it would be more appropriate to transfer not the image of the pattern, but the algorithm for constructing this pattern. Analysis of recent research and publications in traditional techniques. …”
    Get full text
    Article
  17. 117

    Cinematic Rendered Computed Tomography Imaging Enhances 3D Visualization of Upper Extremity Arteriovenous Malformation by Balazs C. Lengyel, Alan B. Lumsden, Ponraj Chinnadurai

    Published 2025-03-01
    “…Inspired by the quality of computer-rendered images in the animated movie industry, cinematic rendering (CR) is a novel image visualization technique using proprietary rendering algorithms that simulate the propagation and interaction of light rays passing through 3-dimensional (3D) volumetric data, resulting in a photorealistic representation of bodily organs and vasculature.1,2 Due to its more realistic representative and intuitive format, it has become part of medical education, especially 3D anatomy teaching, patient education, and communication.3,4 It also plays an important role in the diagnostics and treatment planning for complex vascular pathologies, especially malformations.5 This short report highlights the additional diagnostic and clinical value of this image visualization technique by showing its value in treatment planning in a case of arteriovenous malformation (Figure 1).…”
    Get full text
    Article
  18. 118

    Easy to Snack—Hard to Digest? Strategies of Dis/Array in Streaming, Social Media, and Television by Kim Carina Hebben, Christine Piepiorka

    Published 2025-04-01
    “…While specific essential characteristics define television (such as its seriality, scheduling, or formats), the digital transformation emerging from the internet is disrupting the medium and requiring (or even demanding) participatory modifications based on experimenting with different forms of media so that television gets expanded, explored, manipulated, and played with by consuming snackable content bit by bit. …”
    Get full text
    Article
  19. 119

    Integrating Soil Parameter Uncertainty into Slope Stability Analysis: A Case Study of an Open Pit Mine in Hungary by Petra Oláh, Péter Görög

    Published 2025-06-01
    “…The use of tailored statistical tools—such as Python-based filtering algorithms and distribution fitting via MATLAB—enabled more realistic modeling of geotechnical behavior. …”
    Get full text
    Article
  20. 120

    Fine-Tuning Retrieval-Augmented Generation with an Auto-Regressive Language Model for Sentiment Analysis in Financial Reviews by Miehleketo Mathebula, Abiodun Modupe, Vukosi Marivate

    Published 2024-11-01
    “…Supervised learning algorithms have been popularly employed for this task, but the performance of these models has been compromised due to the brevity of the content and the presence of idiomatic expressions, sound imitations, and abbreviations. …”
    Get full text
    Article