Landscape Of HOXA Genes Methylation in Colorectal Cancer by Muhiddin Ishak, Rashidah Baharudin, Loh Teng-Hern Tan, Learn-Han Lee, Nurul-Syakima Ab Mutalib

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Effectiveness of Artificial Intelligence Multimedia Courseware in Classroom Teaching Application by Yu Chen, Zhong Chen

“…Through flexible and interactive course interaction, students are more convenient and more independent to learn but also reduce the teacher’s time cost and greatly play the advantages of distance education, and the English teaching mode of artificial intelligence multimedia courseware is very popular with students. …”
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Walking, talking, playing: Children with disabilities’ outdoor play in French mainstream schools by Clémence Orain, Thomas Morgenthaler, Christina Schulze

“…Data were audio-recorded, transcribed verbatim and analysed using thematic analysis.Results (1) ‘I can(not) play’: Environmental Barriers and Opportunities; (2) ‘I have an idea’: Children’s Preferences for Enriching Play and Inclusion; (3) ‘Learn to Hear Me Out’: Strengthening Children’s Participation in Everyday School Practices including Playground Redesign.Conclusions and Significance This study highlights the barriers children with disabilities face in French mainstream school playgrounds. …”
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Unsupervised Anomaly Detection in Hyperspectral Imaging: Integrating Tensor Robust Principal Component Analysis With Autoencoding Adversarial Networks by Atsuya Emoto, Ryo Matsuoka

“…Our method utilizes the AEAN model to learn a nonlinear low-dimensional representation of the spectral characteristics of background regions, which is then incorporated into the TRPCA framework. …”
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Motor control method using single-sensor phase current reconstruction by Yin Lu, Yuntian Huang, Hao Guo

“…Simultaneously, optimization algorithms like neural networks are employed to learn from historical data to predict and estimate the current values of the three phases. …”
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The use of project technologies in teaching the structure and maintenance of cars by V. Pryimak

“…It was also found that the project method increased students' motivation to learn and encouraged them to independently search for information, collaborate in a team, and use modern diagnostic tools. …”
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AReLU: Agile Rectified Linear Unit for Improving Lightweight Convolutional Neural Networks by Fu Chen, Yepeng Guan

“…Considering the multi-channel characteristic of input features, Channel-Exclusive AReLU (CE-AReLU) and Channel-Shared AReLU (CS-AReLU) are designed based on PLCFI. CE-AReLU learns exclusive structure of activation function for each channel, while the functional structure of CS-AReLU is shared by channels. …”
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Media’s Approach to Artificial Intelligence: Content Analysis of US Newspapers by Beril Han Celik

“…As AI technologies evolve, the way the public learns about AI will be crucial for its acceptance and integration into society. …”
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THE PRESENTATION OF SELF IN THE ONLINE SOCIAL NETWORK by A. A. Shirmazanyan

“…Case-study analysis of the standard form of VK-user profile allowed to learn the features of communication tools of the social network that on the whole are used for exchanging self-presentation data between its users. …”
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MKER: multi-modal knowledge extraction and reasoning for future event prediction by Chenghang Lai, Shoumeng Qiu

“…Furthermore, the adaptive cross-modality feature fusion module aligns video and language information by using object relationship knowledge as guidance to learn vision-language representation. Finally, the future event description generation module decodes the fused information and generates the language description of the next event. …”
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Effects of different educational interventions on cervical cancer knowledge and human papillomavirus vaccination uptake among young women in Japan: Preliminary results of a cluster... by Yuko Takahashi, Yukifumi Sasamori, Risa Higuchi, Asumi Kaku, Tomoo Kumagai, Saya Watanabe, Miki Nishizawa, Kazuki Takasaki, Haruka Nishida, Takayuki Ichinose, Mana Hirano, Yuko Miyagawa, Haruko Hiraike, Koichiro Kido, Hirono Ishikawa, Kazunori Nagasaka

“…In fact, participants acquired proper knowledge when given the opportunity to learn about the importance of the disease and its prevention. …”
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Bayesian Optimization of insect trap distribution for pest monitoring efficiency in agroecosystems by Eric Yanchenko, Thomas M. Chappell, Anders S. Huseth

“…In this study, a Bayesian optimization (BO) algorithm was used to learn more about the optimal distribution of a fine-scale trap network targeting Helicoverpa zea (Boddie), a significant agricultural pest across North America. …”
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Mechanical problem solving by plush-crested jays: are tools special after all? by Jimena Lois-Milevicich, Lauriane Rat-Fischer, María Alicia de la Colina, Raúl Orencio Gómez, Juan Carlos Reboreda, Alex Kacelnik

“…Eight out of nine subjects succeeded in the NT task, whereas none of them learned to solve the T task. This is consistent with tool use involving dedicated competencies, rather than just high problem-solving proficiency.…”
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Leadership lessons for engineers by Alsu Makhmutovna Tuktamyshova, Gulnara Rinadovna Gabdrakhmanova, Albert Kharisovich Gilmutdinov

“…The study reveals the problems of training modern engineering specialists: engineering student negative attitudes (I cannot learn English, it is too difficult to apply for a grant, an interesting job can only be found by acquaintance); inability of young people to answer questions about how to find a job in their life, how to work hard and not get tired, how to become successful and at the same time maintain good relations with people. …”
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Automated Pavement Crack Damage Detection Using Deep Multiscale Convolutional Features by Weidong Song, Guohui Jia, Hong Zhu, Di Jia, Lin Gao

“…In this work, we introduce a novel multiscale dilated convolutional module that can learn rich deep convolutional features, making the crack features acquired under a complex background more discriminant. …”
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Atmospheric Turbulence Intensity Image Acquisition Method Based on Convolutional Neural Network by Yuan Mu, Liangping Zhou, Shiyong Shao, Zhiqiang Wang, Pei Tang, Zhiyuan Hu, Liwen Ye

“…By processing the acquired spot image data, the channel attention and spatial attention mechanisms are utilized, and the convolutional neural network learns the interdependence between the channel and space of the feature image and adaptively recalibrates the feature response in terms of the channel to increase the contribution of the foreground spot and suppress the background features. …”
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High‐dimensional Bayesian optimization for metamaterial design by Zhichao Tian, Yang Yang, Sui Zhou, Tian Zhou, Ke Deng, Chunlin Ji, Yejun He, Jun S. Liu

“…Second, mutual information maximization is incorporated into the VAE to enhance the quality of the learned latent space, ensuring that the most relevant features for optimization are retained. …”
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MSRD-CNN: Multi-Scale Residual Deep CNN for General-Purpose Image Manipulation Detection by Kapil Rana, Gurinder Singh, Puneet Goyal

“…In this paper, a novel Multi-Scale Residual Deep CNN (MSRD-CNN) is designed to learn the image manipulation features adaptively for multiple image manipulation detection. …”
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Applications of pulleys and inclined plane in transport engineering by Gheorghe Neamțu, Marinela Ință

“…In this way, those interested can learn how these applications can be used in the laboratory but also in real life, the advantages and concrete results obtained when applied. …”
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Seismic Response Compression of Various MSE Walls Based on 3D Modeling by Muhammad Akbar, Huali Pan, Guoqiang Ou, Georgios Nikitas, Bilal Ahmed

“…The specifics of the modeling approach used in this study and the lessons learned serve as benchmarks for future comparable lines of inquiry and practitioners, especially as the computational power of desktop computers continues to rise.…”
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