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  1. 3921

    Based on BERT-GPT-GNN converged architecture: intelligent generation engine for complex SQL queries in business intelligence by Shiwei Chu, Jie Liu

    Published 2025-07-01
    “…With the advancement of natural language processing technology, especially the application of deep learning generative models, text2SQL (Text to SQL) conversion has become possible. …”
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    Article
  2. 3922

    A Composite Network for CS ISAR Integrating Deep Adaptive Sampling and Imaging by Lianzi Wang, Ling Wang, Miguel Heredia Conde, DaiYin Zhu

    Published 2025-01-01
    “…In addition, we adopt the block-based CS method in the sampling network to alleviate the computational burden caused by vectorizing and stacking the data and introduce a nonlocal self-similarity model into the reconstruction network to improve the imaging quality. …”
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    Article
  3. 3923

    Quality assessment strategy development and analytical method selection of GMP grade biological drugs for gene and cell therapy by Quan-en Yang, Nicole Lee, Nicole Johnson, Jennifer Hong, Jenny (Qinghua) Zhao, Xiulian Sun, Jian Zhang

    Published 2025-01-01
    “…Thus, the final products would have to be subjected to sequential extensive purification processes to exclude impurities and to concentrate the drug products after manufacturing. …”
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    Article
  4. 3924

    Cultural Norm and Personal Security: The Bifurcation Point of the Sociocultural System by E.N. Gilemkhanova

    Published 2024-12-01
    “…In this context, the sociocultural system is analyzed through the lens of processes of reproduction and development, particularly in relation to the transformations in the context of the “naturalization and artification”. …”
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    Article
  5. 3925

    Correlation between territorial innovative clusters and sustainable development of a region by A. A. Korableva, V. V. Karpov, E. A. Kapoguzov

    Published 2018-12-01
    “…Objective: to substantiate the list of indicators of a region sustainable development, taking into account the impact of territorial innovation clusters on regional socio-economic processes.Methods: general scientific methods of cognition were used in the process of research; the formation of the territorial innovation cluster model as a mechanism of the region sustainable development is based on the grouping of factors of the external and internal environment of the cluster; using the methods of analogy and comparison, a list of indicators of the region sustainable development was formed, taking into account the generalized factors of territorial clusters’ development. …”
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    Article
  6. 3926

    TRENDS IN THE DEVELOPMENT OF OPEN GOVERNMENT DATA IN EUROPEAN COUNTRIES IN 2022-2024 by Kseniia Mohylna, Vitaliia Koibichuk, Bhola Khan

    Published 2025-06-01
    “…The study concludes that structural inequalities persist among European countries in the development of open data policies, while common vectors of digital transformation are being confirmed. …”
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    Article
  7. 3927

    Modeling the compressive strength behavior of concrete reinforced with basalt fiber by Kennedy C. Onyelowe, Ahmed M. Ebid, Shadi Hanandeh, Viroon Kamchoom, Paul Awoyera, Siva Avudaiappan

    Published 2025-04-01
    “…The study incorporates various modeling techniques, including Artificial Neural Networks (ANN), k-Nearest Neighbors (KNN), Support Vector Machines (SVM), Decision Trees, and Random Forest (RF), to evaluate their predictive capabilities. …”
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    Article
  8. 3928

    Identification of HER2-over-expression, HER2-low-expression, and HER2-zero-expression statuses in breast cancer based on 18F-FDG PET/CT radiomics by Xuefeng Hou, Kun Chen, Huiwen Luo, Wengui Xu, Xiaofeng Li

    Published 2025-05-01
    “…Then, four machine learning classifiers, including logistic regression (LR), k-nearest neighbor (KNN), support vector machine (SVM), and random forest (RF), were constructed to identify HER2-over-expression vs. others, HER2-low-expression vs. others, and HER2-zero-expression vs. others. …”
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  9. 3929
  10. 3930

    Machine learning for predicting neoadjuvant chemotherapy effectiveness using ultrasound radiomics features and routine clinical data of patients with breast cancer by Pu Zhou, Pu Zhou, Hongyan Qian, Pengfei Zhu, Jiangyuan Ben, Jiangyuan Ben, Guifang Chen, Qiuyi Chen, Lingli Chen, Jia Chen, Ying He, Ying He

    Published 2025-01-01
    “…We compared 10 ML models based on radiomics features: support vector machine (SVM), logistic regression (LR), random forest, extra trees (ET), naïve Bayes (NB), k-nearest neighbor (KNN), multilayer perceptron (MLP), gradient boosting ML (GBM), light GBM (LGBM), and adaptive boost (AB). …”
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  11. 3931
  12. 3932

    THE "LARGE BARYON PUMP OF THE EARTH" AS A NATURAL IMAGE OF THE "TREE OF LIFE" AND AN OBJECT OF ENVIRONMENTAL LAW, WHICH IS INTEGRATED WITH THE NATURAL ENVIRONMENT OF MAN by Mykhaylo O. Baymuratov, Volodymyr P. Ozhereliev

    Published 2023-12-01
    “…Currently, the world structure that has emerged can be imagined as a complex global-regional legal system, in the regulatory field of which there is a process of deep integration of international public law and municipal law. …”
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    Article
  13. 3933

    Mechanism Analysis of an Abrupt Torrential Rain Event under Weak Synoptic Forcing by Mingjuan LI, Damei GUO, Dian FENG, Kuifeng ZHAO, Jiahuimin LIU, Liwei QU

    Published 2023-08-01
    “…On July 18, 2021, abrupt rainstorms, torrential rain and local torrential rain occurred in areas of northeastern Xi'an and southern Weinan.The global numerical model and multiple Meso-scale numerical models failed to predict this torrential rain process.Based on data of aerological sounding, surface observation, ERA5 reanalysis, TBB data of FY-2G satellite, lidar wind vector data of Lintong station, radar data of Jinghe station, and microwave radiometer data, circulation patterns, environmental conditions and Meso-scale convective system evolution are investigated in this paper to enhance the understanding of mechanisms of this type of torrential rain and improve its predicting accuracy.Results show that the abrupt torrential rain process occurred under the forcing of a weak synoptic system, on the edge of the continental high at 500 hPa.There were no shear lines, warm advections and high-speed wind transporting water vapor at 700 hPa and 850 hPa, and neither cold front nor warm front on surface.Before the torrential rain process, on environmental fields, vertical wind shear was weak from 0 to 6 km on T-lnP chart, and 0 ℃-level was high, which was conducive to formation of deep warm clouds.A light rain appeared on surface, increasing atmospheric humidity near ground and lowering atmospheric lifting condensation level and lower cloud base, which was favorable for developing Meso-scale convective systems and improving precipitating efficiency.On radar wind profile map and wind lidar map, the low-level easterly wind was increased to 6~10 m·s-1, transferring abundant water vapor and energy to the rainstorm area, giving the atmosphere a certain amount of convective available potential energy(CAPE).Satellite image, ERA5 reanalysis data and microwave radiometer data show a weak ascent was found in the middle and low levels which produced a deep wet layer and a large value of total atmospheric precipitable water.TBB data indicates that quasi-stationary isolated Meso-β-scale convective systems caused the abrupt torrential rain.On radar composite reflectivity factor map, the heavy rainfall was induced by a Meso-γ-scale and Meso-β-scale convective cell or a Meso-β-scale convective system.The Meso-γ-scale convective cell developed near Lishan Mountain with loose structure and organization.The maximum center of reflectivity factor demonstrates a consistently vertical structure from top to bottom with a low centroid, showing characteristics of highly efficient warm cloud precipitation.The abrupt torrential rain was caused by convections triggered by interaction of the ground convergence line induced by weak cold air on surface, topographic uplift of the Lishan Mountain and funneling effect of Bahe Valley collectively.The initial heavy rainfall formed a cold pool, then, the outflow of the cold pool generated new convergence lines around, triggering new convective systems.The Meso-β-scale convective system on the northeast side of the Jinghe River propagated backwards and moved slowly southwestwards.In the Meso-β-scale convective system, multiple new Meso-γ-scale convective cells developed and created a “train effect” over Jinghe River, resulting in this torrential rain process.For prediction under the forcing of weak synoptic systems, it is necessary to strengthen the understanding of its formation mechanism and the use of new observation data, pay close attention to the influence of early weak precipitation on near-surface humidification and lifting condensation level, water vapor and unstable energy transport to rainstorm areas by increased low-level wind, and the triggering effect of weak cold air on the ground and terrain, combined with maximum values predicted by a number of Meso-scale numerical models, comprehensively consider the possibility of abrupt torrential rain.…”
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  14. 3934

    Multimodal driver emotion recognition using motor activity and facial expressions by Carlos H. Espino-Salinas, Huizilopoztli Luna-García, José M. Celaya-Padilla, Cristian Barría-Huidobro, Nadia Karina Gamboa Rosales, David Rondon, Klinge Orlando Villalba-Condori

    Published 2024-11-01
    “…Furthermore, a pre-trained Convolutional Neural Network (CNN) model is employed to extract probability vectors from images corresponding to the four emotions under investigation. …”
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  15. 3935

    Artificial Bee Colony Algorithm Based on the Division Between Exploration and Exploitation and Its Application in Esophageal Cancer Prediction by WANG Yingcong, YAN Jun, SUN Junwei, WANG Yanfeng

    Published 2025-07-01
    “…However, the basic ABC algorithm prioritizes exploration during the search process and performs poorly in exploitation, leading to slow convergence speed and low solution accuracy. …”
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    Article
  16. 3936

    Wildlife law and policy by S. Bertouille

    Published 2012-11-01
    “…The various aspects of the processes described above were highlighted in the plenary talk and the five oral communications presented during the session on wildlife law and policy. …”
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  17. 3937

    Advanced Temporal Convolutional Network Framework for Intrusion Detection in Electric Vehicle Charging Stations by Ikram Benfarhat, Vik Tor Goh, Chun Lim Siow, It Ee Lee, Muhammad Sheraz, Eng Eng Ngu, Teong Chee Chuah

    Published 2025-01-01
    “…The proposed model effectively processes multiple temporal scales, regulates the flow of information, adapts to varying time steps, and focuses on essential components of time-series data. …”
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  18. 3938

    Altered Cellular Distribution and Sub-Cellular Sorting of Doppel (Dpl) Protein in Human Astrocytoma Cell Lines by Elena Sbalchiero, Alberto Azzalin, Silvia Palumbo, Giulia Barbieri, Agustina Arias, Luca Simonelli, Luca Ferretti, Sergio Comincini

    Published 2008-01-01
    “…The membrane-associated Dpl expression was restored after the transfection of the astrocytoma cells with mutated Dpl-expression vectors in its glycosylation sites. Additionally, Dpl showed altered expression and traffic using the acidotropic agent ammonium chloride, leading to the accumulation of Dpl in nascent exocytic vesicles. …”
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  19. 3939

    Thermodynamical Theory of Inelastic Single Crystals by Piotr Perzyna

    Published 2015-06-01
    “…The next objective is the application of the theory developed for the investigation of the adiabatic shear-band formation in single crystals under dynamic loading processes. The description of the kinematics of finite elasto-viscoplastic deformations of single crystal is based on notions of the Riemannian space of manifolds and the tangent space. …”
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  20. 3940

    Visualizing Tomato Spotted Wilt Virus Protein Localization: Cross-Kingdom Comparisons of Protein-Protein Interactions by K. M. Martin, Y. Chen, M. A. Mayfield, M. Montero-Astúa, A. E. Whitfield

    Published 2025-01-01
    “…Tomato spotted wilt virus (TSWV) is an orthotospovirus that infects both plants and insect vectors, and understanding its protein localization and interactions is crucial for unraveling the infection cycle and host-virus interactions. …”
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    Article