Showing 53,401 - 53,420 results of 53,535 for search '((unstructures OR (unstructures OR structure)) OR (structured OR (structures OR structural))) data', query time: 0.73s Refine Results
  1. 53401

    Innovation Ecosystem of Iran's Tourism Industry with Emphasis on Supply Chain by Azizolah Jafari, mahdi alaei kerahrudi

    Published 2024-01-01
    “…These ecosystems require new organizational structures, skills, leadership forms, and public-private sector relations transformation. …”
    Get full text
    Article
  2. 53402

    Autonomous International Classification of Diseases Coding Using Pretrained Language Models and Advanced Prompt Learning Techniques: Evaluation of an Automated Analysis System Usin... by Yan Zhuang, Junyan Zhang, Xiuxing Li, Chao Liu, Yue Yu, Wei Dong, Kunlun He

    Published 2025-01-01
    “…However, it faces challenges such as small datasets, diverse writing styles, unstructured records, and the need for semimanual preprocessing. …”
    Get full text
    Article
  3. 53403

    Elbaite, the neotype material from the Rosina pegmatite, San Piero in Campo, Elba island, Italy by F. Bosi, F. Pezzotta, H. Skobgy, R. Luppi, P. Ballirano, U. Hålenius, G. Tempesta, G. Agrosì, J. Sejkora

    Published 2025-07-01
    “…It has trigonal symmetry, space group <span class="inline-formula"><i>R</i>3<i>m</i></span>, <span class="inline-formula"><i>a</i>=15.8117(2)</span> Å, <span class="inline-formula"><i>c</i>=7.0937(1)</span> Å, <span class="inline-formula"><i>V</i>=1535.89(4)</span> Å<span class="inline-formula"><sup>3</sup></span>, and <span class="inline-formula"><i>Z</i>=3</span>. The crystal structure was refined to <span class="inline-formula"><i>R</i>1=2.12</span> % using 1783 unique reflections collected with Mo<span class="inline-formula"><i>K</i><i>α</i></span> X-ray intensity data. …”
    Get full text
    Article
  4. 53404

    Mollugin reacts with phenol thiol but not produce modification on cysteine discovered by a phenol thiol probe by Tao Liu, Tao Liu, Ruibing Qi, Ruibing Qi, Wanshi Feng, Wanshi Feng, Zhuohao Li, Zhuohao Li, Zerun Zhong, Zerun Zhong, Chuan Bai, Chuan Bai, Chuan Bai

    Published 2025-08-01
    “…In this study, we report a phenol thiol probe initially designed to mimic cysteine reacts with Mollugin and other structurally related NPs in an electrophilic free radical addition mechanism, and thus leads to the incorporation of not only the thiol probe but also a hydroxyl group in the adducts. …”
    Get full text
    Article
  5. 53405

    Targeting O-Acetyl-GD2 Ganglioside for Cancer Immunotherapy by Julien Fleurence, Sophie Fougeray, Meriem Bahri, Denis Cochonneau, Béatrice Clémenceau, François Paris, Andras Heczey, Stéphane Birklé

    Published 2017-01-01
    “…In this respect, gangliosides, a broad family of structurally related glycolipids, were suggested as potential targets for cancer immunotherapy based on their higher abundance in tumors when compared with the matched normal tissues. …”
    Get full text
    Article
  6. 53406

    Needs of the network: a qualitative study of the needs of family members, partners and close friends of people with a severe mental illness (SMI) by Gwen van Husen, Thijs J. Burger, Mariken B. de Koning, Matty A.S. de Wit, Menno W. Segeren, Aartjan T.F. Beekman

    Published 2025-03-01
    “…This study underscores the importance of mental healthcare and support services in structurally extending its attention to social network members of people with an SMI. …”
    Get full text
    Article
  7. 53407

    Neuroprotective effects of phenylacetylglycine via β2AR on cerebral ischemia/reperfusion injury in rats by Wenjie Hu, Xueyan Kuang, Yao Zhang, Yimin Luo, Litao Zhang

    Published 2024-12-01
    “…The results indicated that PAGly markedly alleviated cerebral infarct volume (P = 0.0024) and improved the neurobehavioral outcomes (P = 0.0149) after I/R injury. PAGly is structurally analogous to catecholamines and binds to β2-adrenergic receptors (β2AR) on microglia without altering the expression of these receptors (P = 0.9137), but instead inhibiting their activity. …”
    Get full text
    Article
  8. 53408

    LYRICEL: Knowledge Graphs Combined With Large Language Models and Machine Learning for Cross-Cultural Analysis of Lyrics&#x2014;The Case of Greek Songs by Dimitrios P. Panagoulias, Evangelia-Aikaterini Tsichrintzi, Dionisios N. Sotiropoulos, Konstantina Chrysafiadi, Evangelos Sakkopoulos, George A. Tsihrintzis, Maria Virvou

    Published 2025-01-01
    “…An important feature of LYRICEL is its use of KG visualizations, which serve as dynamic links to improve interpretability and validatability by structuring data relationships and sources. These visualizations are central to advancements in four areas: KG representation learning, knowledge acquisition, temporal KGs, and knowledge-aware applications. …”
    Get full text
    Article
  9. 53409

    Top 10 palliative care research priorities in France: a 3-step, mixed-methods protocol (AXEPRO study) by Stéphane Sanchez, Guillaume Economos, Fiona Ecarnot, Cecile Barbaret, Raphaëlle Habert-Dantigny, Héloïse Rouze, Doan Huynh, Roseline Huynh, Caroline Tête, Martin Julier-Costes, Valérie Amouroux-Gorsse, Isabelle Lavault, Justine Bret

    Published 2025-02-01
    “…A multidisciplinary steering committee including board-certified PC physicians, methodologists, nurses, a sociologist, an anthropologist and an information specialist will analyse the data collected in order to delete duplicate questions, do a thematic and population classification of the responses, modify questions using the PICO (patient problem, intervention, comparison and outcome) format and perform a literature review on each question to identify any relevant systematic review.Ethics and dissemination We expect the results to have wide-ranging benefits, for example, by prompting investment in the 10 prioritised research questions. …”
    Get full text
    Article
  10. 53410
  11. 53411

    A Novel Policy Distillation With WPA-Based Knowledge Filtering Algorithm for Efficient Industrial Robot Control by Gilljong Shin, Seongjin Yun, Won-Tae Kim

    Published 2024-01-01
    “…Policy distillation is a kind of model compression schemes of deep reinforcement learning by means of teacher-student model which make a pre-trained teacher model transfer its knowledge to structurally simplified student models in order to enhance the computing efficiency. …”
    Get full text
    Article
  12. 53412
  13. 53413

    Geochemical Assessment of Long-Term CO<sub>2</sub> Storage from Core- to Field-Scale Models by Paa Kwesi Ntaako Boison, William Ampomah, Jason D. Simmons, Dung Bui, Najmudeen Sibaweihi, Adewale Amosu, Kwamena Opoku Duartey

    Published 2025-08-01
    “…The results indicate that the majority of the injected CO<sub>2</sub> is trapped structurally, followed by residual trapping and dissolution trapping; mineral trapping was found to be negligible in this study. …”
    Get full text
    Article
  14. 53414

    LLM-Assisted Ontology Restriction Verification With Clustering-Based Description Generation by Seungyeon Kim, Donghyun Kim, Seokju Hwang, Kyong-Ho Lee, Kyunghwa Lee

    Published 2025-01-01
    “…An ontology is a scheme for structuring relationships between concepts in a domain, promoting data interoperability and system integration. …”
    Get full text
    Article
  15. 53415

    Characterization of chicken Relaxin3 gene: mRNA expression and response to reproductive hormone treatment in ovarian granulosa cells, and single nucleotide polymorphisms associated... by Chunfeng Zhang, Yi Sun, Li Kang, Yunliang Jiang

    Published 2024-12-01
    “…As a protein structurally similar to insulin, relaxin3 (RLN3) plays a role in promoting arousal, suppressing depressive or anxious behaviors. …”
    Get full text
    Article
  16. 53416

    The XRISM/Resolve View of the Fe K Region of Cyg X-3 by XRISM Collaboration, Marc Audard, Hisamitsu Awaki, Ralf Ballhausen, Aya Bamba, Ehud Behar, Rozenn Boissay-Malaquin, Laura Brenneman, Gregory V. Brown, Lia Corrales, Elisa Costantini, Renata Cumbee, María Díaz Trigo, Chris Done, Tadayasu Dotani, Ken Ebisawa, Megan E. Eckart, Dominique Eckert, Satoshi Eguchi, Teruaki Enoto, Yuichiro Ezoe, Adam Foster, Ryuichi Fujimoto, Yutaka Fujita, Yasushi Fukazawa, Kotaro Fukushima, Akihiro Furuzawa, Luigi Gallo, Javier A. García, Liyi Gu, Matteo Guainazzi, Kouichi Hagino, Kenji Hamaguchi, Isamu Hatsukade, Katsuhiro Hayashi, Takayuki Hayashi, Natalie Hell, Edmund Hodges-Kluck, Ann Hornschemeier, Yuto Ichinohe, Manabu Ishida, Kumi Ishikawa, Yoshitaka Ishisaki, Jelle Kaastra, Timothy Kallman, Erin Kara, Satoru Katsuda, Yoshiaki Kanemaru, Richard Kelley, Caroline Kilbourne, Shunji Kitamoto, Shogo Kobayashi, Takayoshi Kohmura, Aya Kubota, Maurice Leutenegger, Michael Loewenstein, Yoshitomo Maeda, Maxim Markevitch, Hironori Matsumoto, Kyoko Matsushita, Dan McCammon, Brian McNamara, François Mernier, Eric D. Miller, Jon M. Miller, Ikuyuki Mitsuishi, Misaki Mizumoto, Tsunefumi Mizuno, Koji Mori, Koji Mukai, Hiroshi Murakami, Richard Mushotzky, Hiroshi Nakajima, Kazuhiro Nakazawa, Jan-Uwe Ness, Kumiko Nobukawa, Masayoshi Nobukawa, Hirofumi Noda, Hirokazu Odaka, Shoji Ogawa, Anna Ogorzalek, Takashi Okajima, Naomi Ota, Stephane Paltani, Robert Petre, Paul Plucinsky, Frederick S. Porter, Katja Pottschmidt, Kosuke Sato, Toshiki Sato, Makoto Sawada, Hiromi Seta, Megumi Shidatsu, Aurora Simionescu, Randall Smith, Hiromasa Suzuki, Andrew Szymkowiak, Hiromitsu Takahashi, Mai Takeo, Toru Tamagawa, Keisuke Tamura, Takaaki Tanaka, Atsushi Tanimoto, Makoto Tashiro, Yukikatsu Terada, Yuichi Terashima, Yohko Tsuboi, Masahiro Tsujimoto, Hiroshi Tsunemi, Takeshi Tsuru, Hiroyuki Uchida, Nagomi Uchida, Yuusuke Uchida, Hideki Uchiyama, Yoshihiro Ueda, Shinichiro Uno, Jacco Vink, Shin Watanabe, Brian J. Williams, Satoshi Yamada, Shinya Yamada, Hiroya Yamaguchi, Kazutaka Yamaoka, Noriko Yamasaki, Makoto Yamauchi, Shigeo Yamauchi, Tahir Yaqoob, Tomokage Yoneyama, Tessei Yoshida, Mihoko Yukita, Irina Zhuravleva, Ryota Tomaru, Tasuku Hayashi, Tomohiro Hakamata, Daiki Miura, Karri Koljonen, Mike McCollough

    Published 2024-01-01
    Get full text
    Article
  17. 53417

    UE-NER-2025: A GPT-Based Approach to Multi-Lingual Named Entity Recognition on Urdu and English by Muhammad Ahmad, Humaira Farid, Iqra Ameer, Fida Ullah, Muhammad Muzamil, Muhammad Jalal, Ameer Hamza, Ildar Batyrshin, Grigori Sidorov

    Published 2025-01-01
    “…Named Entity Recognition (NER) is a fundamental task that identifies and classifies entities into predefined categories from unstructured text. As textual data continues to grow and span diverse linguistic communities, NER is rarely studied as a multilingual task, particularly for low-resource languages. …”
    Get full text
    Article
  18. 53418

    A Search for FDA Approved Drugs with Anti-ulcerative Effects: A computational Based Drug Repositioning Study by Abdulmajeed Yunusa1, Albashir Tahir1,2, Nura Abubakar1

    Published 2025-05-01
    “…Target proteins (H2, PP, M3) were selected from the Protein Data Bank. Drugs structurally related to known inhibitors were screened and docked using AutoDock Vina to assess binding affinities. …”
    Get full text
    Article
  19. 53419

    Student perception of teacher encouragement of self-regulated learning and its relationship with self-regulation learning strategies by Slavica Šimić Šašić, Maša Atlaga

    Published 2024-12-01
    “…Teachers can influence self-regulated learning in various direct and indirect ways, such as teaching students effective learning strategies or structuring the learning environment. Research indicates that teachers moderately encourage self-regulated learning, with direct/explicit teaching methods being underutilized despite their stronger contribution to fostering learning self-regulation. …”
    Get full text
    Article
  20. 53420

    THE ESTIMATION OF LOSSES OF THE RUSSIAN ECONOMY FROM POPULATION MIGRATION TO OTHER COUNTRIES by V. V. Maslennikov, A. S. Linnikov, O. V. Maslennikov

    Published 2018-05-01
    “…Therefore, it is required a comprehensive study of these processes and the creation of conditions for the preservation of human capital inRussia.The purpose of this article is to develop a methodology for assessing the economic losses of theRussian Federationas a result of emigration of citizens to other countries and to propose measures to reduce its scale.As a methodological basis of the research, we used: system approach, statistical methods, methods of structuring information, correlation and regression analysis.The authors developed a methodology for assessing the losses of the Russian economy in value terms as a result of emigration of citizens abroad. …”
    Get full text
    Article