Showing 3,821 - 3,840 results of 3,914 for search '(((structured OR structural) OR structures) OR structure) programming', query time: 0.18s Refine Results
  1. 3821
  2. 3822

    Isolation, identification, and pathogenicity of Pseudoalteromonas aliena associated with oyster disease outbreaks in summer by Shuyi Mu, Jiejie Sun, Lei Gao, Yinan Li, Zihan Wang, Renle Chang, Jun Jiang, Liyan Wang, Lingling Wang, Linsheng Song

    Published 2025-08-01
    “…The gill filaments exhibited swelling and necrotic cells, and the mantle showed a loose histological structure with cavities and disruption of epithelial cells. …”
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    Article
  3. 3823
  4. 3824

    Effects of intermittent theta burst to the left dorsolateral prefrontal cortex on brain volumes and neurometabolites in people with alcohol use disorder: a preliminary investigatio... by Timothy C. Durazzo, Timothy C. Durazzo, Lauren H. Beauregard, Meng Gu, Eric P. Kraybill, Brian D. P. Joseff, Amy A. Herrold, Amy A. Herrold, Keith Humphreys, Keith Humphreys, M. Windy McNerney, M. Windy McNerney, Brian Knutson, Claudia B. Padula, Claudia B. Padula

    Published 2025-07-01
    “…In the active group, a higher number of iTBS pulses delivered at the target treatment level was significantly associated with greater increases in left DLPFC n-acetylaspartate, glutamate, and gamma-aminobutyric acid.ConclusionThis study provided novel preliminary indications that iTBS promoted adaptive structural and neurometabolic changes in the left DLPFC site of stimulation in those with AUD. …”
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  5. 3825

    Vaccination as a solution of the issue of resistance S. pneumoniae by H. P. Ruban, S. V. Struch

    Published 2021-05-01
    “…Composition and resistance profile of the lower respiratory tract microflora isolated from sputum pneumococcal strains in children in 2016–2018, demonstrated up to 72.4% resistance to macrolides, 31.3% resistance to cefotaxime and 8.3% – to ceftriaxone. Spn serotypes structure in under 5 years of age children with meningitis was characterized by relatively high uniformity. …”
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  6. 3826

    Neural models in diagnostics of the financial result of housing and utility enterprises by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

    Published 2019-07-01
    “…The  neural network  modeling methodology allows you to create models that have  several advantages:  learning ability  (they  adapt  to various  changes);  universality  (able  to solve a wide  range of data analysis and processing tasks);  speed (process various  data  in  parallel  mode);  ease  of use (easy  to operate  after training);  fault  tolerance  (resistant  to local  damage  to the  neural network  structure and external  noise).One of the main  tasks that neural networks  successfully solve is the problem of classification  – the assignment  of the sample  to one or several predefined classes. …”
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  7. 3827
  8. 3828

    CHARACTERISTICS OF PSYCHOLOGICAL MATURITY AS A SOFT-SKILL OF A MODERN PERSONALIT by Mitchenko Kateryna

    Published 2024-06-01
    “…The aim of the article is to substantiate the essence and component structure of psychological maturity, and the set of soft skills as an integral part of an individual’s psychological maturity. …”
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    Article
  9. 3829

    A Systematic Review of the Microfinance Literature: An ADO-TCM Framework Approach by Bahman Khodapanah, Mohammad Bashokouh Ajirlou, Fariba Mesri

    Published 2025-06-01
    “…This framework provides an in-depth analysis of the structure of relevant studies, encompassing predecessors, research decisions, research outcomes (ADO), utilized theories, study contexts, and research methods (TCM). …”
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    Article
  10. 3830

    Effects of a multicomponent exercise regimen on subchondral bone and cartilage in postmenopausal women with knee osteoarthritis: protocol for a randomized controlled trial by Ville-Markus Konola, Jari Parkkari, Juhani Multanen, Riku Nikander, Timo Rantalainen, Johanna Vesanto, Satu Pekkala, Merja Kalaja, Johanna K. Ihalainen, Benjamin Waller, Matti Munukka, Harri Sievänen, Mika Nevalainen, Hannu Kautiainen, Victor Casula, Juha Paloneva, Tommi Vasankari, Arttu Peuna, Simo Saarakkala, Miika T. Nieminen, Ari Heinonen

    Published 2025-06-01
    “…The primary outcome measures of this trial are the 8-month changes in the biochemical composition of the knee articular cartilage measured by the T1r and T2 relaxation times from quantitative magnetic resonance imaging and subchondral bone sclerosis, density and structure as measured via cone beam computed tomography. …”
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    Article
  11. 3831
  12. 3832

    Vaccine Hesitancy and Immunization Patterns in Central and Eastern Europe: Sociocultural, Economic, Political, and Digital Influences Across Seven Countries by Kurpas D, Stefanicka–Wojtas D, Soll–Morka A, Lomper K, Uchmanowicz B, Blahova B, Bredelytė A, Dumitra GG, Hudáčková V, Javorska K, Juhász Z, Manulik S, Mohos A, Skarbalius E, Tkachenko VI, Uchmanowicz I

    Published 2025-06-01
    “…Differences were influenced by healthcare system structure, public trust, exposure to misinformation, and digital communication strategies.Conclusion: Addressing vaccine hesitancy requires targeted, context-sensitive communication and digital literacy programs. …”
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  13. 3833

    Cloning and identification of human colipase-like 3 and its homologous cDNAs by LU Yan, XUE Yong-chang, YU Peng, WANG Ping-zhang

    Published 2012-09-01
    “…CL PSL3 was widely expressed and highly conserved in mammalian animals, such as Pan troglodytes, Equus caballus, Cavia porcellus, Loxodonta africana, Mus musculus and Rattus norvegicus, and showed very similar gene structures. Moreover, the CLPSL3 contained 18 highly conserved cysteines in all species, suggesting that it might relate to the disulfide bond formation.Colipase is a co-factor needed by pancreatic lipase for efficient dietary lipid hydrolysis. …”
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  14. 3834

    Contemporary contexts of higher medical education development: Patient-centred care in medical students’ understanding by T. D. Podkladova, L. G. Smyshliaeva, A. O. Okorokov, I. I. Soshenko

    Published 2023-11-01
    “…The research methods include theoretical, phenomenological, and structural types of analysis; survey method, expert assessments, and focus groups.Results. …”
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    Article
  15. 3835

    Morphofunctional Characteristics of the Hippocampus of White Rats in the Acute Period After Severe Traumatic Brain Injury During the Use of L-lysine Aescinat by I. P. Koshman, A. Yu. Shoronova, S. S. Stepanov, A. G. Kalinichev, V. A. Akulinin, A. S. Stepanov, D. B. Avdeyev, V. L. Molchanova

    Published 2021-01-01
    “…The revealed changes are considered not only as patho-, but also as sanogenetic structural mechanisms of protection and reorganization of the hippocampus in the acute post-traumatic period.1. …”
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  16. 3836

    Extracellular Vesicles Present in Bone Marrow Mesenchymal Stromal/Stem Cell Conditioned Media Restore Spermatogenesis in Azoospermic Mice by Rano Zhankina, Afshin Zare, Alireza Afshar, Arezoo Khoradmehr, Mohammad Reza Dorvash, Farhad Rahmanifar, Nader Tanideh, Omid Koohi Hosseinabadi, Ali Arabi Monfared, Shahrokh Zare, Nadiar Mussin, Asset Askerovich Kaliyev, Ulanbek Zhanbyrbekuly, Amin Tamadon

    Published 2025-07-01
    “…Additionally, protein structure extraction, protein-protein docking analysis, and data visualization were conducted.Results: Histomorphometry and flow cytometry showed that most seminiferous tubules in the therapy groups exhibit­ed normal morphology and restored spermatogenesis, unlike the azoospermia group. …”
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  17. 3837
  18. 3838
  19. 3839

    Deep learning and genomic best linear unbiased prediction integration: An approach to identify potential nonlinear genetic relationships between traits by F. Shokor, P. Croiseau, H. Gangloff, R. Saintilan, T. Tribout, T. Mary-Huard, B.C.D. Cuyabano

    Published 2025-06-01
    “…Deep learning (DL) offers a promising alternative for capturing nonlinear genetic relationships due to its ability to identify complex patterns without prior assumptions about the data structure. We proposed a novel hybrid model that that combines both DL and GBLUP (DLGBLUP), which uses the output of the traditional GBLUP, and enhances its predicted genetic values (PGV) by accounting for nonlinear genetic relationships between traits using DL. …”
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  20. 3840