Showing 51,681 - 51,700 results of 53,535 for search '(unstructures OR (structured OR structural)) data', query time: 0.48s Refine Results
  1. 51681
  2. 51682

    Synthesis and acute toxicity of new S-derivatives (1,2,4-triazole-3(2H)-yl)methyl) thiopyrimidines by Yu. V. Karpenko, O. I. Panasenko, S. M. Kulish, A. V. Domnich

    Published 2023-07-01
    “…The relevance of the study “structure – acute toxicity” relationship in a number of newly synthesized derivatives of 1,2,4-triazole-3(2H)-thione with pyrimidine-2-thiol is due to the synthesis of potential low molecular weight interferon inducers and antitumor agents, the search for molecular descriptors of their structure, important for establishing “structure – acute toxicity” laws, as a system for evaluating the biological effects of compounds. …”
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  3. 51683

    Using Natural Language Processing to Explore Patient Perspectives on AI Avatars in Support Materials for Patients With Breast Cancer: Survey Study by Eleanor Cheese, Raouef Ahmed Bichoo, Kartikae Grover, Dorin Dumitru, Alexandros Zenonos, Joanne Groark, Douglas Gibson, Rebecca Pope

    Published 2025-06-01
    “…We applied and evaluated different NLP machine learning techniques to draw insights from these unstructured data, namely sentiment analysis, topic modeling, summarization, and term frequency–inverse document frequency word clouds. …”
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  4. 51684
  5. 51685
  6. 51686

    Study on the stiffness and damping properties of magnetorheological elastomers subjected to biaxial loads and a magnetic field by J. Luis Gomez-Color, Luis M. Palacios-Pineda, Imperio A. Perales-Martínez, Oscar Martínez-Romero, Daniel Olvera-Trejo, Claudia A. Ramírez-Herrera, Karina Del Ángel Sánchez, Alex Elías-Zúñiga

    Published 2025-05-01
    “…We discovered that micro-particle alignment in the elastomer matrix, its fractal structure, and the magnetic field modify stiffness and damping properties since the magnetic field restricts the polymer chains' reptation zone, thereby stiffening the polymer matrix and influencing its energy dissipation capacity.Furthermore, we proposed a constitutive material model to predict stress-softening and residual strains when the MRE samples are under biaxial loading-unloading cycles and magnetic field intensity with theoretical predictions that follow experimental data well. …”
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  7. 51687

    Psychiatric neuroimaging at a crossroads: Insights from psychiatric genetics by Lorenza Dall’Aglio, Saúl Urbina Johanson, Travis Mallard, Sander Lamballais, Scott Delaney, Jordan W. Smoller, Ryan L. Muetzel, Henning Tiemeier

    Published 2024-12-01
    “…Thanks to methodological advances, large-scale data collections, and longitudinal designs, psychiatric neuroimaging is better equipped than ever to identify the neurobiological underpinnings of youth mental health problems. …”
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  8. 51688

    Phase equilibrium of the Fe2O3-TiO2 system by Mengjiao Jiao, Yang Zhang, Guishang Pei, Zhuoyang Li, Xuewei Lv

    Published 2025-05-01
    “…Additionally, the ordered rutile phase was transformed into the high-temperature rutile-derived crystallographic shear structure at 1400 °C with Fe2O3 higher than 15 mol%. …”
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  9. 51689
  10. 51690
  11. 51691

    Evaluation and implementation of multidisciplinary, standardized, guideline-based long-term follow-up care for adult survivors of childhood cancer in Germany: protocol of a prospec... by C. Cytera, K. Baust, A. Borgmann-Staudt, G. Calaminus, K. Egger-Heidrich, J. Faber, D. Grabow, T. Halbsguth, A. Kock-Schopenhauer, I. R. König, S. Michaelis, A. Neumann, A. Puzik, S. Schuster, F. Wolters, C. Arendt, M. Sleimann, T. Langer, J. Gebauer

    Published 2025-05-01
    “…The LE-Na study aims to: 1. implement and/or improve LTFU care structures for adult CCS in Germany, 2. inform former patients about late effects and LTFU care centers, 3. create a basis for future research by building up a central database, consent management and infrastructure, 4. establish a clinical LTFU cohort of adult CCS in Germany, 5. evaluate the implementation of the LFTU care, 6. enable the expansion of LTFU care structures nationwide, 7. integrate the developed LTFU care structures into the standard health care system. …”
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  12. 51692
  13. 51693

    Abrasion Resistance and Mechanism Analysis of Polyethylene Fiber-reinforced Cementitious Composite by ZI Jinjia, LI Weibin, WANG Jihong, WANG Zhiwen, LIU Yunjun, NONG Qingshun, LI Bixiong

    Published 2025-01-01
    “…ObjectiveIn hydraulic structures of the Qinghai–Xizang Plateau region, abrasion damage caused by sediment-laden water flows severely undermines the durability of hydraulic spillways, posing a significant challenge to the long - term stability and functionality of water conservancy infrastructure. …”
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  14. 51694

    The mediating role of biological age in the association between dietary index for gut microbiota and sarcopenia by Jingyuan Zhang, Jun Guo, Jing Zhang, Jing Zhang, Heng Liu, Lin Zhou, Chi Cheng, Hong Cao

    Published 2025-03-01
    “…Alterations in muscle structure are closely linked to DNA methylation-based biological age assessments and individual dietary patterns. …”
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  15. 51695

    Impact of different genomic relationship matrix construction methods on the accuracy of genomic prediction in different species by Shiyi Wang, Yingjia Wei, Dengying Liu, Xiangzhe Zhang, Qishan Wang, Yuchun Pan, Peipei Ma

    Published 2025-05-01
    “…The learning curve for bull data showed the choice of G-matrix had minimal impact on prediction accuracy when the reference population size and genetic marker density reached a certain threshold.DiscussionThe study concluded that the optimal G-matrix construction method varies across species, with population structure being a key factor. …”
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  16. 51696

    SURGERY OF BRAIN STEM CAVERNOUSES MALFORMATION by V. V. Stupak, Sh. Aul, A. G. Bobylev, M. V. Kutsenko, D. A. Dentsel, T. M. Shogunbekov, V. M. Bon, A. M. Gazeev, A. E. Simonovich, S. V. Tsvetovskiy

    Published 2020-03-01
    “…Cavernous malformations (CM), also known as cavernous angiomas or cavernomas, are benign vascular hamartomas having a sinusoidal type of wall structure.CM occurs in the brain stem with a frequency of 9–35 % of cases. …”
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  17. 51697

    Distribution Characteristics of Nutrients and Eutrophication Assessment in Yueqing Bay by YAO Kaixue, YIN Rui, WANG Yang, CHEN Feng, LI Zhenhua

    Published 2024-09-01
    “…Based on the Marine environment monitoring data of Yueqing Bay in spring, summer, autumn and winter from 2018 to 2019, the spatial and temporal distribution characteristics of nutrient salts (dissolved inorganic nitrogen, DIN) and active phosphate (DIP) in the sea were analyzed, and the pollution degree, eutrophication degree and nutrient structure of the sea area were evaluated by single factor index method, eutrophication index method and potential eutrophication model. …”
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  18. 51698

    Conserved missense variant pathogenicity and correlated phenotypes across paralogous genes by Tobias Brünger, Alina Ivaniuk, Eduardo Pérez-Palma, Ludovica Montanucci, Stacey Cohen, Lacey Smith, Shridhar Parthasarathy, Ingo Helbig, Michael Nothnagel, Patrick May, Dennis Lal

    Published 2025-07-01
    “…Across ten genes encoding voltage-gated sodium channels and 22 expert-curated disorders, we identify cross-paralog correlated phenotypes based on 3D structure spatial position. For example, multiple established loss-of-function related disorders across SCN1A, SCN2A, SCN5A, and SCN8A show overlapping spatial variant clusters. …”
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  19. 51699

    Construction and validation of a cell-in-cell related prognostic signature for hepatocellular carcinoma by Hao Zhong, Dong Wang, Yisheng Chen, Danhong Zhan, Chenxi Wang, Rongqi Lin, Wen Li, Qiang Sun, Ruizhi Wang, Meifang He

    Published 2025-08-01
    “…Abstract Cell-in-cell structures (CICs) and their biological roles contribute to disease development, particularly in cancer. …”
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  20. 51700

    Multi-Agent Deep Reinforcement Learning for Scheduling of Energy Storage System in Microgrids by Sang-Woo Jung, Yoon-Young An, BeomKyu Suh, YongBeom Park, Jian Kim, Ki-Il Kim

    Published 2025-06-01
    “…The simulation experiments were conducted using real industrial building load and photovoltaic (PV) generation data under realistic South Korean electricity tariff structures. …”
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