Salário de docente básico by Pedro Demo

“…It is very important to achieve, over time, a more visible correlation between the improvement of the teachers' remuneration and the improvement of students' learning.…”
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Using transformer-based models and social media posts for heat stroke detection by Sumiko Anno, Yoshitsugu Kimura, Satoru Sugita

“…This study demonstrates the potential of using Japanese tweets and deep learning algorithms based on transformer networks for event-based surveillance at high spatiotemporal levels to enable early detection of heat stroke risks.…”
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The Neuroplastic Adaptation Trident Model: A Suggested Novel Framework for ACL Rehabilitation by Timothy Machan, Kody Krupps

“…This structured framework provides clinicians with reproducible methods to employ as part of the rehabilitation process to maximize motor control and motor learning. Suggested dosage and implementation are proposed to lead to a consistent and gradually progressive challenge throughout the entire rehabilitation process that takes advantage of the time from surgery until return to play. …”
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Virtual reality platforms for K-12 STEM education by Tyler Ward, Jorge A. Ortega-Moody, Sam Khoury, Mykelti Wheatley, Kouroush Jenab

“…This paper will cover the methodology and design considerations that went into developing these modules, with a focus on how these modules relate to various learning strategies as well as with existing research on the use of VR in K-12 education.…”
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DM-YOLO: improved YOLOv9 model for tomato leaf disease detection by Abudukelimu Abulizi, Junxiang Ye, Halidanmu Abudukelimu, Wenqiang Guo

“…Specifically, firstly, lightweight dynamic up-sampling DySample is incorporated into the feature fusion backbone network to enhance the ability to extract features of small lesions and suppress the interference from the background environment; secondly, the MPDIoU loss function is used to enhance the learning of the details of overlapping lesion margins in order to improve the accuracy of localizing overlapping lesion margins. …”
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The Importance of Good Role Models in Different Careers by Abdolali Mohagheghzadeh, Ayda Hosseinkhani

“…A role model can also serve as a source of encouragement during tough times, reminding you of your potential and pushing you to strive for excellence. By observing and learning from a role model, you can gain valuable insights, develop important skills, and enhance your professional growth. …”
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Direct coupling analysis and the attention mechanism by Francesco Caredda, Andrea Pagnani

“…Additionally, the functional form of the energy function of the model enables us to deploy a multi-family learning strategy, allowing us to effectively integrate information across multiple protein families, whereas standard DCA algorithms are typically limited to single protein families. …”
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Pendekatan Integratif Pendidikan Tauhid dan Nilai-nilai Moderasi Beragama dalam Pembentukan Akhlak Terpuji by Danang Dwi Basuki

“…This integration process can be implemented through a curriculum based on moderation values, experiential learning, and teacher training. In conclusion, the integrative approach forms tolerant religious individuals and contributes to social harmony. …”
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The development trend of China’s marine economy: a predictive analysis based on industry level by Yu Chen, Huahan Zhang, Lingling Pei

“…First, the results from multi-step experiments demonstrate that the CFGM model significantly outperforms traditional statistical, machine learning models, and grey models in the context of the sectoral added value predictions, with an average accuracy improvement of 32.14%. …”
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A framework to guide future farming research with Indigenous communities by Daniel Hayden, Amber Hayden

“…As Western science seeks to find sustainable alternatives to current farming norms, as seen in other areas of land man­agement, we encourage creating shared learning environments between researchers and Indigenous Peoples to foster relevant and equitable outcomes for farming practices. …”
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Cryptographic Censorship by Netta Engelhardt, Åsmund Folkestad, Adam Levine, Evita Verheijden, Lisa Yang

“…Our theorem relies on an extension of a recent quantum learning no-go theorem and is proved using new techniques of pseudorandom measure concentration. …”
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Technology adoption and extreme stock risk: Evidence from digital tax reform in China by Kangqi Jiang, Xiaofeng Chen, Jiayun Li, Mengling Zhou

“…After performing parallel trend test, dealing with endogeneity concerns, and estimating the double machine learning model, we confirm baseline findings again. …”
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Natura, architektura i zabawa jako źródła przeżyć estetycznych i odkryć geometrycznych dzieci – badania w działaniu by Barbara Bilewicz-Kuźnia, Małgorzata Centner-Guz

“…She claimed that for a child, learning is a natural process, occurring spontaneously not thanks to passive listening, but thanks to active contact with the environment. …”
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A Lightweight Laser Chip Defect Detection Algorithm Based on Improved YOLOv7-Tiny by HU Wei, ZHAO Jumin, LI Dengao

“…In this study, a lightweight laser chip defect detection algorithm based on an improved YOLOv7-Tiny is proposed, aiming at addressing the high computational and parameter demands of deep learning applications in defect detection. [Methods] By employing a lightweight convolutional neural network as the feature extraction backbone and integrating multi-branch reparameterized convolution blocks, this algorithm not only significantly reduces resource consumption but also enhances feature representation capabilities. …”
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Cohesion policy and metropolitan governance: innovation in stakeholders collaboration practices in Lisbon by Margarida Queirós, Luís Balula, Mário Vale

“…These initiatives have broken down planning silos, promoting "soft spaces of governance" that encouraged knowledge exchange and institutional learning among territorial stakeholders. However, challenges persist in the absence of a coherent regional strategy and the prioritization of broad EU objectives over tailored regional needs. …”
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Enhancing urban air quality prediction using time-based-spatial forecasting framework by Shrikar Jayaraman, Nathezhtha T, Abirami S, Sakthivel G

“…The proposed Time-Based-Spatial (TBS) forecasting framework is integrated with spatial and temporal information using machine learning techniques on data collected from a wide range of cities. …”
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Prediction of individual patient outcomes to psychotherapy vs medication for major depression by Devon LoParo, Boadie W. Dunlop, Charles B. Nemeroff, Helen S. Mayberg, W. Edward Craighead

“…Individual response to treatment, however, is variable, implying individual differences that could allow for prospective differential prediction of treatment response and personalized treatment recommendation. We used machine learning to develop predictor variables that combined demographic and clinical items from a randomized clinical trial. …”
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Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University by Dani Wilian, Sriyanto Sriyanto

“…This research underscores the potential of data mining techniques to optimize library management and proposes avenues for future investigation, such as exploring advanced machine learning algorithms and expanding datasets for use in broader library contexts.…”
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Harnessing the Multi-Phasal Nature of Speech-EEG for Enhancing Imagined Speech Recognition by Rini Sharon, Mriganka Sur, Hema Murthy

“…Having established the presence of inter-phase associations, a common representation learning feature extractor is introduced, adept at capturing the correlations and replicability across phases. …”
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AutoPVPrimer: A comprehensive AI-Enhanced pipeline for efficient plant virus primer design and assessment. by Abozar Ghorbani, Mahsa Rostami, Elham Ashrafi-Dehkordi, Pietro Hiram Guzzi

“…We present AutoPVPrimer, an innovative pipeline that integrates artificial intelligence (AI) and machine learning to accelerate the development of plant virus primers. …”
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