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  1. 461

    Developing media literacy skills in teaching written online communication in English at secondary school by Boiko Oksana

    Published 2024-09-01
    “…As a result, online interaction has become a mandatory component of foreign language learning according to the NUS model program. On the other hand, information has become more accessible and information flows have become more intense, so the use of media in education has become an integral feature of modern Ukrainian education. …”
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  2. 462

    The impact of autoimmune thyroid disease on cognitive and psychiatric disorders: focus on clinical, pre-clinical and molecular studies by Agnieszka Piekiełko-Witkowska, Monika K Duda, Joanna Bogusławska, Urszula Mackiewicz

    Published 2025-06-01
    “…Diminished TSH (thyrotropin) signalling may also impair learning and memory by inhibiting the Wnt5a-β-catenin pathway. …”
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  3. 463

    Dampak sosialisasi empat pilar MPR RI terhadap Pendidikan Pancasila di perguruan tinggi by Hastangka Hastangka, Armaidy Armawi, Kaelan Kaelan

    Published 2019-10-01
    “…Interpretative, analytic-induction, semiotic, and disclosure approaches applied to the analysis. …”
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  4. 464
  5. 465

    Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome by András Ecker, Daniela Egas Santander, Marwan Abdellah, Jorge Blanco Alonso, Sirio Bolaños-Puchet, Giuseppe Chindemi, Dhuruva Priyan Gowri Mariyappan, James B Isbister, James King, Pramod Kumbhar, Ioannis Magkanaris, Eilif B Muller, Michael W Reimann

    Published 2025-07-01
    “…Synaptic plasticity underlies the brain’s ability to learn and adapt. While experiments in brain slices have revealed mechanisms and protocols for the induction of plasticity between pairs of neurons, how these synaptic changes are coordinated in biological neuronal networks to ensure the emergence of learning remains poorly understood. …”
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  6. 466

    Digital Platforms Are an Important Aspect of Digitalization of Higher Education by I. E. Zhukovskaya

    Published 2022-09-01
    “…In the course of this study and in writing the article, methods such as analysis of empirical data, synthesis, methods of questionnaire survey, logical and contextual analysis, bibliographic search, SWOT analysis, methods of working with specialized software products and web services, matching method and method of comparison, induction, deduction, monographic study were used, etc.Results. …”
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  7. 467

    Predictive analytics framework for accurate estimation of child mortality rates for Internet of Things enabled smart healthcare systems by Muhammad Islam, Muhammad Usman, Azhar Mahmood, Aaqif Afzaal Abbasi, Oh-Young Song

    Published 2020-05-01
    “…These real-world data sets have been tested using machine learning classifiers, such as Naïve Bayes, decision tree, rule induction, random forest, and multi-layer perceptron, for the prediction task. …”
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  8. 468

    A Piezoelectric Sensor Based on MWCNT-Enhanced Polyvinyl Chloride Gel for Contact Perception of Grippers by Qiyun Zhong, Qingsong He, Diyi Liu, Xinyu Lu, Siyuan Liu, Yuze Ye, Yefu Wang

    Published 2025-06-01
    “…By integrating PMPG with machine learning algorithms, soft robotic grippers gain advanced contact perception capabilities, enabling applications in medicine, rescue, exploration, and other fields requiring fine manipulation and adaptability. …”
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  9. 469

    High-yield spidroin mimics for bioinspired fibers via computational design by Yufan Huang, Junzi Qi, Bingrui An, Bensheng Zhang, Yukang Yang, Cheng Cheng, Bingfang He, Bingfang He

    Published 2025-04-01
    “…Addressing these challenges, the study integrates deep learning and bioengineering to design water-soluble, β-sheet-rich spidroin mimics optimized for efficient prokaryotic expression. …”
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  10. 470

    Sevoflurane aggravates hypoxic-ischemic encephalopathy in preterm neonates via VGluT1 upregulation and myelinogenesis impairment by Minyang Qin, Dongyan Shi, Xiaoqian Song, Ruiqing Zhang, Zhaowei Feng, Longzhi Li

    Published 2025-09-01
    “…Postnatal day 3 (P3) mice underwent HI induction followed by 3.2 % sevoflurane exposure for 2 h. …”
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  11. 471

    AI-driven diagnosis and health management of autonomous electric vehicle powertrains: An empirical data-driven approach by Hicham El hadraoui, Adila El maghraoui, Oussama Laayati, Erroumayssae Sabani, Mourad Zegrari, Ahmed Chebak

    Published 2025-09-01
    “…To address this challenge, this paper proposes a novel and integrated data-driven methodology for fault diagnosis of induction motors (IMs) in EV powertrain applications. …”
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  12. 472

    Identification and Characterization of the V(D)J Recombination Activating Gene 1 in Long-Term Memory of Context Fear Conditioning by Edgardo Castro-Pérez, Emilio Soto-Soto, Marizabeth Pérez-Carambot, Dawling Dionisio-Santos, Kristian Saied-Santiago, Humberto G. Ortiz-Zuazaga, Sandra Peña de Ortiz

    Published 2016-01-01
    “…Here we report data using C57BL/6 mice showing that the V(D)J recombination-activating gene 1 (RAG1), which encodes a factor that introduces DSBs in immunoglobulin and T-cell receptor genes, is induced in the amygdala, but not in the hippocampus, after context fear conditioning. Amygdalar induction of RAG1 mRNA, measured by real-time PCR, was not observed in context-only or shock-only controls, suggesting that the context fear conditioning response is related to associative learning processes. …”
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  13. 473

    Validation of a Swine Cough Monitoring System Under Field Conditions by Luís F. C. Garrido, Gabriel S. T. Rodrigues, Leandro B. Costa, Diego J. Kurtz, Ruan R. Daros

    Published 2025-05-01
    “…A hybrid deep learning model combining Convolutional Neural Networks and Recurrent Neural Networks was trained and evaluated using these labels. …”
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  14. 474

    The Main Trends in Improving the Activities of a Higher Educational Institution in the Context of Digital Transformation by I. E Zhukovskaya

    Published 2021-07-01
    “…In addition, in this paper, based on the study of scientific research, it is illustrated that at present, artificial intelligence systems are gradually being introduced into the educational process, which contribute to increasing the efficiency of learning foreign languages with the help of language bots, mathematical disciplines through the personalization of learning, are well applicable as simulators for teaching medical sciences. …”
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  15. 475

    WHY SCIENTIFIC RESEARCH OF A LECTURER IS THE «LAME HORSE» OF MODERN SCIENCE? by Maria A. Belyaeva

    Published 2015-04-01
    “…A number of theoretical methods have been used in the article: analysis and synthesis, induction and deduction, comparison and classification, methods of extrapolation and modeling, as well as participant observation. …”
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  16. 476

    Vibration-Based Adaptive Novelty Detection Method for Monitoring Faults in a Kinematic Chain by Jesus Adolfo Cariño-Corrales, Juan Jose Saucedo-Dorantes, Daniel Zurita-Millán, Miguel Delgado-Prieto, Juan Antonio Ortega-Redondo, Roque Alfredo Osornio-Rios, Rene de Jesus Romero-Troncoso

    Published 2016-01-01
    “…The proposed methodology is validated experimentally by monitoring the vibration measurements of a kinematic chain driven by an induction motor. Two faults are induced in the motor to validate the method performance to detect anomalies and adapt the feature reduction and novelty detection modules to the new information. …”
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  17. 477

    POSTOPERATIVE CHANGES IN THE BEHAVIOR OF RATS AFTER ANESTHESIA WITH SEVOFLURANE by I. V. Belozertseva, O. A. Dravolina, V. O. Krivov, M. A. Tur, L. V. Mus, Yu. S. Polushin

    Published 2018-01-01
    “…Male rats of Wistar stock (n = 20) were used to assess the long term behavioral effect of continuous (6 hours) of action of sevoflurane and abdomen surgery. For anesthesia induction 8 volumes of % sevoflurane in the air flow (2 l/min) were used, for anesthetic support it was 4 volumes of % and 1 l/min. …”
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  18. 478

    Angiogenic and immune predictors of neoadjuvant axitinib response in renal cell carcinoma with venous tumour thrombus by Rebecca Wray, Hania Paverd, Ines Machado, Johanna Barbieri, Farhana Easita, Abigail R. Edwards, Ferdia A. Gallagher, Iosif A. Mendichovszky, Thomas J. Mitchell, Maike de la Roche, Jacqueline D. Shields, Stephan Ursprung, Lauren Wallis, Anne Y. Warren, Sarah J. Welsh, Mireia Crispin-Ortuzar, Grant D. Stewart, James O. Jones, On behalf of the NAXIVA Study Group

    Published 2025-04-01
    “…Responders have higher baseline microvessel density and increased induction of VEGF-A and PlGF during treatment. A multi-modal machine learning model integrating features predict response with an AUC of 0.868, improving to 0.945 when using features from week 3. …”
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  19. 479
  20. 480

    Experiences with an interactive boardgame that teaches elements of a basic automatic control course by D. Rotondo, P. Jimarkon, D. Efjestad Fjereide, K. Dikilitas

    Published 2025-03-01
    “…The quantitative analysis showed a positive impact of the game on five different constructs related to learning, such as affective factors, collaborative learning, higher order thinking, and metacognition, while the qualitative data revealed four categories including low stake learning environment, collaboration and socio-cultural influences, awareness of own inductive learning, and inspiration for learning, supporting traditional approaches. …”
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