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  1. 3561

    Enhancing Situational Awareness: Anomaly Detection Using Real-Time Video Across Multiple Domains by Rajan Singh, Amrit Pal, Shruti Mishra, Abishi Chowdhury

    Published 2025-01-01
    “…This paper proposes a novel approach to handle the complexity of dynamic real-world anomaly detection scenarios using three state of the art machine learning models: Convolutional Neural Networks (CNN), Region-based Convolutional Neural Network (R-CNN), and You Only Look Once (YOLO). …”
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  2. 3562

    Simplifying Two-Stage Object Detectors for On-Board Remote Sensing by Jaemin Kang, Hoeseok Yang, Hyungshin Kim

    Published 2025-01-01
    “…We apply a method to determine the threshold for positive anchors based on the intersection over union (IoU), with the k anchors closest to the object. …”
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  3. 3563

    An Advanced LSTM Framework for Pest Detection and Classification in Agricultural Settings by Bhoi Manjulata, Sharma Priti

    Published 2025-01-01
    “…Normally, the CNN, RNN, DNN, and GRU are done with traditional methods. It is considered intrinsic sequential and temporal, and it achieves very limited ability to learn useful features within such data. …”
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  4. 3564

    Historical overview, advancements, and future prospects of coalfield structure research in China by Daiyong CAO, Yiwen JU, Yucheng XIA, Bo JIANG, Shuzheng NING, Yingchun WEI, Anmin WANG, Xiaoming LI, Wenfeng ZHAN, Huantong LI, Lu WANG, Zhuocheng CAI

    Published 2025-05-01
    “…In China, research into this domain has a history of over a century, yielding numerous results after undergoing exploration, learning, and innovation. These results have played a positive role in the long-term, stable coal supply in China. …”
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  5. 3565

    Exploring the effects of curiosity and anxiety on Mathematics teaching efficacy beliefs in primary school teachers by Veysel Göçer, Ender Özeren

    Published 2025-07-01
    “…Furthermore, the study found that low levels of mathematics teaching anxiety have a positive effect on mathematics teaching efficacy beliefs, which is an unexpected result. …”
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  6. 3566

    Multilingual Neural Machine Translation for Low-Resource Languages by Surafel M. Lakew, Marcello Federico, Matteo Negri, Marco Turchi

    Published 2018-06-01
    “…In recent years, Neural Machine Translation (NMT) has been shown to be more effective than phrase-based statistical methods, thus quickly becoming the state of the art in machine translation (MT). …”
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  7. 3567
  8. 3568

    Recognizing the dimensions and components of school social responsibility in order to achieve the appropriate mode by mahmood noori, kolsum nami, mahdi bagheri

    Published 2025-03-01
    “…Abstract The aim of the present study is to identify the dimensions and components of school social accountability in order to achieve an appropriate model. The research method is applicable in terms of its purpose, and qualitative in terms of its implementation method, and of data-based theory. …”
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  9. 3569

    DEONTOLOGY AND PROFESSIONAL ETHICS IN DENTIST’S PROFESSION by O.V. Rybalov, I.Yu. Lytovchenko, S.V. Kolomiets, V.L. Prochankina

    Published 2018-06-01
    “…Students learn to apply a differentiated and individualized approach to each patient. …”
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  10. 3570
  11. 3571

    Enhanced discovery of bacterial laccase‐like multicopper oxidase through computer simulation and metagenomic analysis of industrial wastewater by Ting Cui, Ariel Kushmaro, Hana Barak, Anja Poehlein, Rolf Daniel, Hans‐Jürgen Mägert

    Published 2025-07-01
    “…Based on the docking results, we selected 10 high‐scoring proteins, two low‐scoring proteins and one composite protein for expression using the pET‐21d (+) vector. …”
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  12. 3572

    Compensation for moral damage caused to higher education institutions due to the war by S. O. Popova, V. O. Hlazkova

    Published 2025-04-01
    “…The only generally accepted method of protection is to file a lawsuit in court. …”
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  13. 3573

    PERSEPSI GURU KIMIA DI KALIMANTAN BARAT TERHADAP PENGGUNAAN SOCIO SCIENTIFIC ISSUES (SSI) DALAM PEMBELAJARAN KIMIA by Saninah Widad, Sri Rahayu*, Munzil Munzil

    Published 2025-01-01
    “…The results show that the majority of teachers express a positive attitude toward SSI-based learning as a tool to enhance students' interest, problem-solving abilities, and the relevance of chemistry materials to current social issues. …”
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  14. 3574

    A Comparative Analysis of Effects of Rehabilitation Services on Symptomatology of Parkinson’s Disease-An Umbrella Review of Systematic Reviews and Meta-Analyses by Zobia Farooq, Rayan Aboakel, Rabeaa Sahar, Zareen Akhtar, Tahira Irshad, Jennifer Geller

    Published 2025-03-01
    “…This review article aims to look into non-pharmacological interventions that improve the symptomatology of the disease.Method: A detailed literature search on databases i.e. …”
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  15. 3575

    Investigating the Relationship Between Mother Tongue Education and Creativity: A Systematic Review at the K-12 Level by Özge Sakaryalı, Mazhar Bal, Yakup Yıldırım

    Published 2024-12-01
    “…Effective use of one’s mother tongue has a positive impact on an individual’s life, especially in mother tongue education at the K-12 level. …”
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  16. 3576

    Ultrasonic radiomics in predicting pathologic type for thyroid cancer: a preliminary study using radiomics features for predicting medullary thyroid carcinoma by Dai Zhang, Dai Zhang, Dai Zhang, Dai Zhang, Fan Yang, Fan Yang, Fan Yang, Fan Yang, Wenjing Hou, Wenjing Hou, Wenjing Hou, Wenjing Hou, Ying Wang, Ying Wang, Ying Wang, Ying Wang, Jiali Mu, Jiali Mu, Jiali Mu, Jiali Mu, Hailing Wang, Hailing Wang, Hailing Wang, Hailing Wang, Xi Wei, Xi Wei, Xi Wei, Xi Wei

    Published 2025-02-01
    “…We constructed clinical model, radiomics model and comprehensive model by executing machine learning algorithms based on baseline clinical, pathological characteristics and ultrasound image data, respectively.ResultsThe study showed that the comprehensive model observed the highest diagnostic efficacy in differentiating MTC from PTC with AUC, sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 0.93, 0.88, 0.82, 0.77, 0.91, 85.8%. …”
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  17. 3577

    Using Convolutional Neural Networks for Segmentation of Multiple Sclerosis Lesions in 3D Magnetic Resonance Imaging by Abdulsattar Abdullah Hamad, Mustafa Musa Jaber, Mohammed Altaf Ahmed, Ghaida Muttashar Abdulsahib, Osamah Ibrahim Khalaf, Zelalem Meraf

    Published 2022-01-01
    “…The second method involves training a convolutional neural network (CNN) that can segment lesions based on a set of training images. …”
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  18. 3578

    Region-Focusing Data Augmentation via Salient Region Activation and Bitplane Recombination for Target Detection by Huan Zhang, Xiaolin Han, Weidong Sun

    Published 2024-12-01
    “…More specifically, to boost the utilization of the positive regions and typical negative regions, a new surroundedness-based strategy for salient region activation is proposed, through which new samples with meaningful focusing regions can be generated. …”
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  19. 3579

    The value-added model of the supply chain of petrochemical industries with a sustainable development approach by ali amiri, seyed abbas heydari, vahidreza Mirabi

    Published 2024-12-01
    “…The results of the investigations showed that the excessive increase in the sending capacity, the increase in the volume of orders, and the decrease in the time of sending the orders will have their own positive and negative results; which the creation of a favorable and optimal situation based on the various outputs of the model will be fruitful in the context of the organization's policy adopting. …”
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  20. 3580

    Strengthening open disclosure in maternity services in the English NHS: the DISCERN realist evaluation study by Mary Adams, Natalie Sanford, Charlotte Bevan, Maria Booker, Julie Hartley, Alexander Heazell, Elsa Montgomery, Maureen Treadwell, Jane Sandall

    Published 2024-08-01
    “…Study phase 2: ethnographic case studies Three maternity services in two Trusts were identified for in-depth ethnographic research by purposive sampling, based on their capacity to accommodate research immediately following the coronavirus disease 2019 (COVID-19) pandemic, and evidence of their positive deviance in improvement work on openness identified from public data sets. …”
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