Showing 7,941 - 7,960 results of 459,517 for search '"the arts"', query time: 0.28s Refine Results
  1. 7941

    Refleksje nad zastosowaniem korczakowskich metod partycypacyjnej pracy z dziećmi w obozach dla uchodźców by Urszula Markowska-Manista, Dominika Zakrzewska-Olędzka

    Published 2019-06-01
    “…Through reference to activities implemented there and oriented towards children, we discuss their problematic character connected with e.g. the absence of participatory, rights-based approach (art. 12 CRC) that serves children’s emancipation and equality. …”
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  2. 7942

    Recognizing human activities from smartphone sensors using hierarchical continuous hidden Markov models by Charissa Ann Ronao, Sung-Bae Cho

    Published 2017-01-01
    “…We analyze the behavior of the accelerometer and gyroscope signals for each activity through graphs, and with added fine tuning of states and training iterations, the proposed method is able to achieve an overall accuracy of up to 93.18%, which is the best performance among the state-of-the-art classifiers for the problem at hand.…”
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  3. 7943

    Ekphrastic Moral Mirrors in New Spain: Sor Juana’s Neptuno Alegórico and Sigüenza’s Theatro de Virtudes Políticas by Sergio Armando Gallegos-Ordorica

    Published 2024-05-01
    “…Ekphrastic moral mirrors, which constitute a subset of the traditional speculum principis, are characterized by offering moral instruction to a prince indirectly, by means of an elaborate ekphrasis of a work of art (which, in the case of the Neptuno and the Theatro, were the two arches that they were paired with). …”
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  4. 7944

    Sparse Antenna Array Design for MIMO Radar Using Multiobjective Differential Evolution by Zhi-Kun Chen, Feng-Gang Yan, Xiao-Lin Qiao, Yi-Nan Zhao

    Published 2016-01-01
    “…Numerical examples are provided to demonstrate the advantages of the proposed approach over state-of-the-art methods, including DE and genetic algorithm.…”
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  5. 7945

    GNN-EADD: Graph Neural Network-Based E-Commerce Anomaly Detection via Dual-Stage Learning by Zhouhang Shao, Xuran Wang, Enkai Ji, Shiyang Chen, Jin Wang

    Published 2025-01-01
    “…Extensive experiments on a large-scale Amazon dataset demonstrate that GNN-EADD significantly outperforms state-of-the-art baselines in terms of anomaly detection accuracy, precision, and recall, while showing robustness to various types of anomalies and scalability to large networks.…”
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  6. 7946

    Improving ocean reanalyses of observationally sparse regions with transfer learning by Simon Lentz, Sebastian Brune, Christopher Kadow, Johanna Baehr

    Published 2025-01-01
    “…Consequently, with infrequent input data, machine learning reconstructions exhibit similar physical structures, while correcting for known errors compared to state-of-the-art data assimilation products. In this manner, transfer learning can impact the initialization and evaluation of climate hindcasts. …”
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  7. 7947

    Third-wave therapies in inflammatory bowel disease: the outline therapy to reduce psychological stress, anxiety and depression in IBD adult patients by Daniele Ferrarese, Federica Di Vincenzo, Giorgia Spagnolo, Daniela Pia Rosaria Chieffo, Marco Pizzoferrato

    Published 2023-05-01
    “…This narrative review provides an overview of the current state of the art regarding the use of third-wave therapies in the management of adult IBD patients, suggesting that they may represent a therapeutic option for the management of psychological stress, anxiety, and depression in these patients.…”
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  8. 7948

    MSSA: multi-stage semantic-aware neural network for binary code similarity detection by Bangrui Wan, Jianjun Zhou, Ying Wang, Feng Chen, Ying Qian

    Published 2025-01-01
    “…Binary code similarity detection (BCSD) aims to identify whether a pair of binary code snippets is similar, which is widely used for tasks such as malware analysis, patch analysis, and clone detection. Current state-of-the-art approaches are based on Transformer, which require substantial computation resources. …”
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  9. 7949

    Smart governance as a new strategy on Jambi city policy innovations by Rio Yusri Maulan, Ovie Yanti, Nur Sukmawat

    Published 2023-09-01
    “…The goal of the smart governance concept is modern urban management using state-of-the-art technologies, considering the applicable ecological standards while saving resources and achieving the expected results. …”
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  10. 7950

    Recommendation Algorithm in Double-Layer Network Based on Vector Dynamic Evolution Clustering and Attention Mechanism by Jianrui Chen, Zhihui Wang, Tingting Zhu, Fernando E. Rosas

    Published 2020-01-01
    “…Experimental results show that our proposed algorithm can attain a better performance than other state-of-the-art algorithms.…”
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  11. 7951

    Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation by Mingwei LIN, Wenqiang LI, Xiuqin XU, Jian LIU

    Published 2024-03-01
    “…Aiming at the problem that the Web service quality of service (QoS) estimation methods based on the non-negative latent factorization of tensor model (NLFT) depend heavily on non-negative initial random data and specially designed non-negative training schemes, which lead to low compatibility and scalability, an accelerated unconstrained latent factorization of tensor (AULFT) model was proposed.The proposed model consisted of three main parts.The non-negative constraints from decision parameters were transferred to output latent factors and they were connected through the single-element-dependent mapping function.A momentum-incorporated stochastic gradient descent (MSGD) algorithm was used to effectively improve the convergence rate and estimation accuracy of the proposed AULFT model.The detailed algorithm and result analysis of the proposed AULFT model were presented.The empirical study on two dynamic QoS datasets in real industrial applications demonstrates that the proposed AULFT model has higher computational efficiency and estimation accuracy than the state-of-the-art QoS estimation models.…”
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  12. 7952

    Bioengineering in Solid-State Fermentation for next sustainable food bioprocessing by Muyideen Olaitan Bamidele, Micheal Bola Bamikale, Eliseo Cárdenas-Hernández, Motolani Adepeju Bamidele, Guillermo Castillo-Olvera, José Sandoval-Cortes, Cristóbal Noe Aguilar

    Published 2025-01-01
    “…Combining SSF with state-of-the-art biotechnological tools aids in the efficient production of high value-added compounds, placing a strong basis for economic-ecological sustainability. …”
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  13. 7953

    A Look at the Book of Four Masters: An Excerpt for the Lesson “Iraqi Literary Poets” by Jamileh Akhyani

    Published 2020-06-01
    “…The purpose of writing a literary university selection should, as a rule, be to briefly acquaint students with the ideas and art of the great masters of Persian literature in order to increase their motivation to refer to the works of these masters. …”
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  14. 7954

    Evaluation of WHO Criteria for Viral Failure in Patients on Antiretroviral Treatment in Resource-Limited Settings by Barbara Castelnuovo, Joseph Sempa, Kiragga N. Agnes, Moses R. Kamya, Yukari C. Manabe

    Published 2011-01-01
    “…In a prospective cohort of patients started on ART in Uganda and followed for 48 months, patients were categorized according to viral load (VL): (1) sustained-suppression: (VL ≤1,000 copies/mL) (2) VL 1,001–10,000, or (3) VL >10,000. …”
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  15. 7955

    Autor, exotopía y alteridad en la construcción de identidad nacional desde el cine indigenista en México: Chilam Balam (1955) de Íñigo de Martino by Israel León O\u2019Farrill

    Published 2022-01-01
    “…Actividades como la educación, el arte y los medios de comunicación fueron preponderantes para diseminar los discursos de lo nacional a todos los niveles de la sociedad mexicana.…”
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  16. 7956

    An overview of V2X communications by Jian FANG, Daquan FENG, Haijun DUAN, Canjian ZHENG, Gongbin QIAN

    Published 2019-06-01
    “…,has been considered as a promising technology to solve the road safety problems.With the advanced information and communication technologies,V2X can greatly improve driving safety,enhance traffic efficiency and comprehensively provide various information services.Thus,it brings unprecedented historical opportunities and challenges to the automobile industry.The state-of-art research on V2X communications was overviewed.Firstly,the background and the characteristics and application scenarios of V2X communication were briefly introduced.Secondly,the development course of V2X communication were outlined.Then,the technical standard of V2X was presented,with emphasis on LTE-V2X and the 5G V2X.Finally,some open problems such as high reliability and low latency,vehicle safety and privacy protection and driving safety of 5G V2X were discussed and concluded.…”
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  17. 7957

    Efficient ternary organic solar cells with suppressed nonradiative recombination via B‒N based polymer donor by Shuting Pang, Wanyuan Deng, Langheng Pan, Xinyuan Liu, Zhibang Shen, Hongxiang Li, Pei Cheng, Jiayuan Zhu, Wensheng Yan, Chunhui Duan

    Published 2025-01-01
    “…Herin, B‒N-based polymer donor PBNT-BDD was incorporated into the state-of-the-art PM6:L8-BO binary to construct ternary OSCs. …”
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  18. 7958

    Fast and accurate deep learning scans for signatures of natural selection in genomes using FASTER-NN by Sjoerd van den Belt, Nikolaos Alachiotis

    Published 2025-01-01
    “…It has higher sensitivity than state-of-the-art CNN classifiers while only processing allele frequencies and genomic positions through dilated convolutions to maximize data reuse. …”
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  19. 7959

    Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

    Published 2025-03-01
    “…Comparative analysis with eight state-of-the-art benchmark methods shows that the proposed MFA-attention model achieves lower prediction errors and improved effectiveness.© 2017 Elsevier Inc. …”
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  20. 7960

    FArSS: Fast and Efficient Semantic Question Similarity in Arabic by Mohamed Alkaoud

    Published 2025-01-01
    “…With strategic data augmentation, our model achieves an F1-score of 0.928, closely competing with state-of-the-art models that rely on advanced architectures employing self-attention mechanisms. …”
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