Avsiyevich, V. N., Mukhambet, Z. S., Robak, I. Y., Chernukha, O. V. & Zakharchenko, N. V. Social implication of sport loads as a motivator for sports activity in the student environment of higher education institution. Retos Nuevas Tend En Educ….
Category: 7. Maths
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Decoding dynamic brain networks in Parkinson’s disease with temporal attention
Participants and imaging protocol
Participants and clinical assessment
This investigation included individuals diagnosed with Parkinson’s Disease (PD) and age-matched healthy control (HC) participants from two independent datasets: the Neurocon…
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Hierarchical Information-guided robotic grasp detection
Fig. 1 The overview of our method, which is a encode-decoder framework.
Overview
In vision-based grasping tasks, the process usually begins with capturing visual images of the target object using sensors such as RGB-D cameras. These images undergo…
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Study deepens understanding of cell migration, important for potential medical advances
Imagine cells navigating through a complex maze, guided by chemical signals and the physical landscape of their environment. A team of researchers at the University of Maryland, Baltimore County (UMBC) has contributed an important discovery about…
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In nature’s math, freedoms are fundamental
Numbers have a funny way about them. Young math students are taught various strategies to make problem-solving easier. Comparing fractions? Find a common denominator or convert to decimals. The strategies get more complex when doing the kind of…
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A novel approach for multiclass sentiment analysis on Chinese social media with ERNIE-MCBMA
Sentiment analysis can be categorized into four main fields: lexicon-based methods, machine learning-based methods, deep learning-based methods, and pre-trained model-based methods.
Lexicon-based methods
The lexicon-based method has played a…
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications
This study proposes the MMDoWA-ARDL approach. The primary purpose of the model effectively detects and mitigates malicious attacks in serverless environments using an advanced DL model. Figure 1 depicts the workflow of the MMDoWA-ARDL model.
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An adaptive non-equidistant grey model with four parameters and its applications in deformation monitoring
Monitoring and early warning of the settlement of high-rise buildings is not only an engineering technology to ensure the quality of construction, but also an effective measure to ensure construction safety. The settlement problem of soft soil…
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Physics-guided deep learning strategy for 2D structure reconstruction from diffraction patterns
The model training process, as illustrated in Fig. 1, introduces a contrastive twin-tower framework for the DD2D, which includes two transformer-based deep learning encoders. The crystallographic geometric encoder (CGE) encodes the atomic…
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A benchmark dataset for class-wise segmentation of construction and demolition waste in cluttered environments
Yuan, L., Yang, B., Lu, W. & Peng, Z. Carbon footprint accounting across the construction waste lifecycle: A critical review of research. Environ. Impact Assess. Rev. 107, 107551, https://doi.org/10.1016/j.eiar.2024.107551 (2024).
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