HyDA-Net: A Hybrid Dense Attention Network for Remote Sensing Multi-Image Super-Resolution by Mohamed Ramzy Ibrahim, Robert Benavente, Daniel Ponsa, Felipe Lumbreras

“…In this article, a novel hybrid dense attention network (HyDA-Net) is proposed that highlights the idea of multi-image SR to address SISR problems. HyDA-Net is a three-branch architecture that emphasizes the importance of information compensation and the correlation between multiple images of the same scene by fusing 3-D and 2-D features. …”
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Local-Descriptors-Based Rectification Network for Few-Shot Remote Sensing Scene Classification by Anyong Qin, Bin Luo, Qiang Li, Cuiming Zou, Yu Zhao, Tiecheng Song, Chenqiang Gao

“…Concurrently, these irrelevant background LDs are also causing a large distribution bias in support and query sets, which leads to the problem of inaccurate feature representation of scene images. …”
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Hemodialysis-related headaches by Đurić Marija, Zidverc-Trajković Jasna, Šternić Nadežda, Trbojević-Stanković Jasna, Marić Ivko, Milić Miodrag, Stojimirović Biljana

“…The aim of this study was to evaluate and analyze the incidence and features of headaches in patients undergoing hemodialysis. …”
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Spatial-Planning Territory Organization аnd Sustainable Settlement Systems оf the Stavropol Region by V. M. Eshrokov, A. A. Cherkasov, R. K. Makhmudov, N. V. Verozub

“…A traditional for geography study of the spatial and planning organization features of the territory has recently acquired a “new life” in strategic and territorial planning documents. …”
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ZAS-F: A Zero-Shot Abstract Sub-Goal Framework Empowers Robots for Long Horizontal Inventory Tasks by Yongshuai Wu, Jian Zhang, Shaoen Wu, Shiwen Mao, Ying Wang

“…The learned policy extracts abstract features from multimodal and extensive temporal observations and subsequently uses these features to predict task-agnostic sub-goals by reasoning about their latent relations. …”
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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…Conclusion The study demonstrates the effectiveness of architectural modifications and regularization strategies in improving model performance. Despite problems such as possible over-reliance on pre-trained features and computational complexity, the modified DenseNet-121 is useful for accurate mushroom classification. …”
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Inferring Mechanical Properties of Wire Rods via Transfer Learning Using Pre-Trained Neural Networks by Adriany A. F. Eduardo, Gustavo A. S. Martinez, Ted W. Grant, Lucas B. S. Da Silva, Wei-Liang Qian

“…It is demonstrated that the pre-training effectively accelerates the learning process for the target feature. Therefore, it is concluded that appropriate architecture design and pre-training are essential for applying machine learning techniques to realistic problems.…”
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BRICS Expansion: A Geopolitical Triumph of Partner Countries by V. Gavrilenko, V. Shenshin

“…The distinctive features of the BRICS group activities and its role in relation to the G7 and G20 are revealed. …”
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A Weighted-Transfer Domain-Adaptation Network Applied to Unmanned Aerial Vehicle Fault Diagnosis by Jian Yang, Hairong Chu, Lihong Guo, Xinhong Ge

“…The method is based on unsupervised transfer learning, which can transfer the knowledge learnt from existing datasets to solve problems in the target domain. The method contains three novel multiscale modules: a feature extractor, used to extract multidimensional features from the input; a domain discriminator, used to improve the imbalance of the data distribution between the source domain and the target domain; and a label classifier, used to classify data categories for the target domain. …”
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Pengembangan Sistem Informasi Layanan Dokumen Alumni Politeknik Statistika STIS by Ni Ketut Ananta Kusuma Dewi, Nori Wilantika

“…The officer sub-system features announcements, application lists, and archives. …”
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Online Education in the Republic of Karelia in the New Realities of Society Development by O. V. Potasheva, A. N. Bykova

“…Studying the regional experience of using online educational platforms during the period of distance learning for schoolchildren and identifying the features of new realities on the formation of human capital.Materials and methods. …”
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THE APPLICATION OF PLACENTA CRYOEXTRACT IN COMPLEX TREATMENT OF PATIENTS WITH PHLEGMONS OF MAXILLOFACIAL LOCALIZATION by V.O. Lichman, K.P. Lokes, D.S. Avetikov, M.G. Skikevich, V.V. Bondarenko, R.A. Prykhidko

“… Today the problem of pathogenesis and rational treatment of purulent-inflammatory odontogenic diseases of the maxillofacial area is quite relevant in the field of medical and SOCIAL problems. …”
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The risks of internet addiction: Structure and characteristics of perception by G. F. Romashkina, R. R. Khuziakhmetov

“…Nowadays, digital transformation of society is inevitably accompanied by a set of problems and challenges. Under universal transition to an online format, it is important to analyse how parents assess internet risks for their children and themselves.The aim of the present research is to reveal parents’ perceptions of main trends and structural features of children internet addiction.Methodology and research methods. …”
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MANOR’S REALITY IN THE LEXICO-SEMANTIC SYSTEM OF LANGUAGE by Hannah M. Udovichenko

“…It is the embodiment of the culture of the people, psychological features, its identifying element. In the process of communication, even people who speak the same language equally well have problems in mutual understanding, because they are representatives of different cultures and, accordingly, different perceptions, worldviews of the same things and phenomena. …”
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Image Characteristic-Guided Learning Method for Remote-Sensing Image Inpainting by Ying Zhou, Xiang Gao, Xinrong Wu, Fan Wang, Weipeng Jing, Xiaopeng Hu

“…Compared with existing works, FFSM improves the fineness of feature matching. To avoid the problem of local-smoothness in the results, both the generator and discriminator utilize the structure priors and learnable edges to regularize large concentrated missing regions. …”
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A wheat seedling counting method based on two-stage convolutional neural network by Menghan Li, Lijie Zhang, Chunshan Wang, Chunjiang Zhao, Libo Li, Dongxiao Li, Yaxuan Xu

“…In the first stage, the SCNet model was applied for wheat seedling segmentation, the ResNet50 model was chosen as the backbone network, and the Convolutional Block Attention Module (CBAM) was introduced for feature enhancement. Then, the Swin Transformer Block self-attention mechanism was used to fuse the enhanced features with features in the basic module. …”
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A functional MRI study of altered spontaneous brain activity pattern in patients with congenital comitant strabismus using amplitude of low-frequency fluctuation by Tan G, Huang X, Zhang Y, Wu A, Zhong Y, Wu K, Zhou F, Shao Y

“…Gang Tan,1,2,* Xin Huang,1,3,* Ying Zhang,1 An-Hua Wu,2 Yu-Lin Zhong,1 Kai Wu,2 Fu-Qing Zhou,4 Yi Shao1 1Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Clinical Ophthalmology Institute and Oculopathy Research Centre, Nanchang, Jiangxi, 2Department of Ophthalmology, The First Affiliated Hospital of University of South China, Hengyang, Hunan, 3Department of Ophthalmology, The First People’s Hospital of Jiujiang City, Jiujiang, 4Department of Radiology, The First Affiliated Hospital of Nanchang University, Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, People’s Republic of China *These authors contributed equally to this work Objective: The aim of this study was to use amplitude of low-frequency fluctuation (ALFF) to investigate local features of spontaneous brain activity in patients with congenital comitant strabismus and clarify their relationship with emotional and psychosocial problems. …”
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TomaFDNet: A multiscale focused diffusion-based model for tomato disease detection by Rijun Wang, Rijun Wang, Yesheng Chen, Fulong Liang, Xiangwei Mou, Xiangwei Mou, Guanghao Zhang, Hao Jin

“…MethodsThe multi-scale tomato leaf disease detection model Tomato Focus-Diffusion Network (TomaFDNet) was proposed to solve the above problems. The model utilizes a multi-scale focus-diffusion network (MSFDNet) alongside an efficient parallel multi-scale convolutional module (EPMSC) to significantly enhance the extraction of multi-scale features. …”
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Knowledge Mapping for the University: Analysis of Approaches and an Example of Its Use by T. A. Gavrilova, A. V. Kuznetsova, E. Y. Greenberg

“…The purpose of the article is to analyze the current research, development and application of knowledge maps for visualizing heterogeneous, disparate, and often hidden knowledge in universities, and discuss the features of the development of maps in higher education institutions.Materials and methods. …”
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HUMAN RIGHTS: PHILOSOPHICAL AND LEGAL ANALYSIS by ALBOV A.P.

“…Thus, the issue of observance of these rights, as well as their restrictions, is not only an internal problem of individual political communities, but also a problem of the entire civilized world. …”
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