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  1. 12461

    Using Depth Cameras for Recognition and Segmentation of Hand Gestures by Khalid Twarish Alhamazani, Jalawi Alshudukhi, Talal Saad Alharbi, Saud Aljaloud, Zelalem Meraf

    Published 2021-01-01
    “…That is why, in the academy, this problem has been addressed using machine learning techniques. The experiments carried out have shown very encouraging results indicating that the choice of this type of architecture allows obtaining an excellent efficiency of parameters and prediction times. …”
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  2. 12462

    Mapping the Legal and Philosophical Aspects of Human Rights Education in Religious Studies Towards a Curriculum Restructuring by Dean Collin Langeveldt, Doniwen Pietersen

    Published 2024-11-01
    “…The study recommends developing an inclusive curriculum, engaging pedagogical strategies, comprehensive teacher training, and active learning to promote a balanced understanding of religious diversity and human rights. …”
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  3. 12463

    Pore Space Reconstruction of Shale Using Improved Variational Autoencoders by Yi Du, Hongyan Tu, Ting Zhang

    Published 2021-01-01
    “…The recent branch of deep learning, variational auto-encoders (VAEs), has good capabilities of extracting characteristics for reconstructing similar images with the training image (TI). …”
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  4. 12464

    A Sarsa(λ)-Based Control Model for Real-Time Traffic Light Coordination by Xiaoke Zhou, Fei Zhu, Quan Liu, Yuchen Fu, Wei Huang

    Published 2014-01-01
    “…The disability of traffic light controllers to learn from past experiences caused them to be unable to adaptively fit dynamic changes of traffic flow. …”
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  5. 12465

    Innovative laboratory techniques shaping cancer diagnosis and treatment in developing countries by Azeez Okikiola Lawal, Tolutope Joseph Ogunniyi, Oriire Idunnuoluwa Oludele, Oluwaloseyi Ayomipo Olorunfemi, Olalekan John Okesanya, Jerico Bautista Ogaya, Emery Manirambona, Mohamed Mustaf Ahmed, Don Eliseo Lucero-Prisno

    Published 2025-02-01
    “…The integration of artificial intelligence, particularly deep learning and convolutional neural networks, has enhanced the diagnostic accuracy and data analysis capabilities. …”
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  6. 12466

    Devaluing memories of reward: a case for dopamine by Benjamin R. Fry, Nicolette Russell, Victoria Fex, Bing Mo, Nathan Pence, Joseph A. Beatty, Fredric P. Manfredsson, Brandon A. Toth, Christian R. Burgess, Samuel Gershman, Alexander W. Johnson

    Published 2025-02-01
    “…Abstract Midbrain dopamine cells encode differences in predictive and expected value to support learning through reward prediction error. Recent findings have questioned whether reward prediction error can fully account for dopamine function and suggest a more complex role for dopamine in encoding detailed features of the reward environment. …”
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  7. 12467

    Measuring China’s Policy Stringency on Climate Change for 1954–2022 by Bo Li, Enxian Fu, Shuhao Yang, Jiaying Lin, Wei Zhang, Jian Zhang, Yaling Lu, Jiantong Wang, Hongqiang Jiang

    Published 2025-01-01
    “…This paper employs an integrated framework comprising lexicon, text analysis, machine learning, and large-language model applied to multi-source data to quantify China’s policy stringency on climate change (PSCC) from 1954 to 2022. …”
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  8. 12468
  9. 12469

    Digital Flow: Insights from English Teacher Educators by Mojtaba Maghsoudi, Ali Mansouri Nejad

    Published 2025-04-01
    “…To address this gap, this study examined the flow experience of 58 teacher educators tasked with teaching English reading skills in a virtual environment (Learning Management System - LMS) during the Covid19 pandemic. …”
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  10. 12470

    Improving the Forecast Accuracy of PM<sub>2.5</sub> Using SETAR-Tree Method: Case Study in Jakarta, Indonesia by Dinda Ayu Safira, Heri Kuswanto, Muhammad Ahsan

    Published 2024-12-01
    “…PM<sub>2.5</sub> exhibits significant nonlinear fluctuations; thus, this study employed two machine learning approaches: self-exciting threshold autoregressive tree (SETAR-Tree) and long short-term memory (LSTM). …”
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  11. 12471

    Parameter-Efficient Vehicle Trajectory Prediction Based on Attention-Enhanced Liquid Structural Neural Model by Ruochen Wang, Yue Chen, Renkai Ding, Qing Ye

    Published 2024-12-01
    “…Due to advances in sensor techniques and deep learning, autonomous vehicular technologies have become more reliable and practical. …”
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  12. 12472

    Experience on clinical simulation in physiotherapy students by Santos Lucio Chero Pisfil, Aimeé Yajaira Díaz Mau, Milagros Nohely Rosas Sudario, Pierre Alberto Huamani Escudero, Jhosely Quispe Nina, Rosmy Gagliuffi Artica

    Published 2024-03-01
    “…<p><strong>Foundation:</strong> clinical simulation in health integrates into practice, the skills learned from theory. It is a learning resource to improve what has been learned that minimizes the risk to patients.…”
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  13. 12473

    Optimizing Security in IoT Ecosystems Using Hybrid Artificial Intelligence and Blockchain Models: A Scalable and Efficient Approach for Threat Detection by William Villegas-Ch, Jaime Govea, Rommel Gutierrez, Aracely Mera-Navarrete

    Published 2025-01-01
    “…Blockchain ensures device authentication and data integrity through a lightweight consensus protocol, while AI enables real-time intrusion detection using deep learning models. The simulations demonstrate that the proposed system improves the precision of detecting phishing attacks by up to 95.2%. …”
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  14. 12474

    Animal cognition (reasoning) in the light of genetic ideas by I. I. Poletaeva, O. V. Perepelkina, Z. A. Zorina

    Published 2017-07-01
    “…He claimed that animal behavior has not only innate species specific behavior and the learning ability, but should be supplemented by another mental category, reasoning the ability for elementary logic operarions. …”
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  15. 12475

    Global, regional, and national burden of children and adolescents with acute lymphoblastic leukemia from 1990 to 2021: a systematic analysis for the global burden of disease study... by Lei Wang, Xue Yao, Linhua Yang

    Published 2025-01-01
    “…Disease status and change were analyzed by learning about the prevalence, death, incidence, DALYs (disability-adjusted life years), percentage change, and the estimated annual percentage change (EAPC).ResultsIn 2021, there were 53,485 new cases of childhood and adolescent ALL, 23,991 deaths, and an estimated 1960,922 DALYs. …”
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  16. 12476

    Differencesin Variations of Qira'at al-Sab' Tariq al-Shatibiyyah in Usul al-Qira'at based on verses 1-31 in Surah al-Baqarah by M. Jismani Yusoff, Nor Hafizi Yusof, Ismail Abd Halim

    Published 2024-11-01
    “…Learning Qira'at al-Sab' Tariq al-Shatibiyyah is the foundation of the study of the science of Qira'at. …”
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  17. 12477

    Assessment of Clothing and Teacher Credibility among Lecturers in Universities in South-East Nigeria by Ginika Hope Amaefule, Oluwaleyimu Olufunke Opeyemi, Udochukwu Mmaduabuchi Emeghebo

    Published 2024-12-01
    “…Major findings include: Twenty-three (23) constituents of teacher credibility among lecturers in South East Nigeria which includes that lecturers should dress decently and professionally at all times among others, Seven (7) ways teachers’ clothing can affects learning including that students pay attention to lecturer’s clothing, students are interested in the subject areas taught by properly dresses lecturers among others. …”
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  18. 12478

    Examining the Control-Value Theory in the Field of Mathematics Academic Boredom in First-year High school Students by Fereshteh Salemi, Farzaneh Michaeli Manee, Ali Esazadegan

    Published 2024-09-01
    “…Data were collected using the questionnaires of academic boredom by Acee et al. (2010), academic control by Perry et al. (2001), academic motivation by Vallerand et al. (1992), educational value, academic self-efficacy by Owen and Fronman (1998), and self-regulated learning by Pintrich & De Groot (1990). SPSS23 and Amos26 software were used for data analysis. …”
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  19. 12479

    Region-Dependent Alterations in Cognitive Function and ERK1/2 Signaling in the PFC in Rats after Social Defeat Stress by Qiong Wang, Feng Shao, Weiwen Wang

    Published 2018-01-01
    “…The results showed that stress induced emotional and cognitive alterations associated with depression, including a decreased sucrose intake ratio and impaired reversal learning and set-shifting performance in the AST. Additionally, rats in the stress group showed a significant decrease only in ERK2 signaling in the mPFC, while more extensive decreases in both ERK1 signaling and ERK2 signaling were observed in the OFC. …”
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  20. 12480

    Educational Paradigm of Academic Writing by L. V. Dudnik, T. S. Putilovskaya

    Published 2020-02-01
    “…The article reveals the concept of academic writing educational paradigm, which is made up of several different didactic aspects to be taken into account in planning and organising the learning process. The aim of the article is to make an overview of these aspects in order to show how academic writing can be incorporated in the existing higher educational curricula, in particular the foreign language course, and to design an effective didactic mechanism of academic writing acquisition. …”
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