PoseAlign network for hybrid structure in 2D human pose estimation by Jin Zhang, Yabo Yin, Wenzhong Yang, Doudou Ren, Danny Chen

“…Abstract In recent years, many Vision Transformers (ViTs)-based methods have become popular in the field of Human Pose Estimation (HPE) and have achieved excellent results. …”
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An edge enhancement graph neural network model with node discrimination for knowledge graph representation learning by Tao Wang, Bo Shen

“…Additionally, many existing methods derive edge representations through random initialization or linear transformations, which do not adequately reflect relational semantics and adjacent node information, resulting in ineffective edge representations.To address these limitations, we propose the Edge Enhancement GNN model with Node Discrimination (NDEE-GNN). …”
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Power Plants Based on a Steam Drive with a Working Body Closed Circulation by V. A. Mayorov, V. F. Shcherbakov

“…(Results and discussion) The authors showed that double transformation of the aggregation state of the working body was much more efficient than its heating. …”
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DAM-Net: Domain Adaptation Network With Microlabeled Fine-Tuning for Change Detection by Hongjia Chen, Xin Xu, Fangling Pu

“…The network incorporates a multitemporal transformer for feature fusion and optimized backbone structure based on previous research. …”
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Sociotechnical Adaptation of Telerehabilitation in Rehabilitation Practice: Survey Among Rehabilitation Professionals by Tuija Partanen, Riitta Seppänen-Järvelä, Sinikka Hiekkala, Jari Lindh

“… Abstract BackgroundBoth rehabilitation practice and rehabilitation professionals’ work have been transformed by the adoption of different technological solutions. …”
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INFLUENCE OF NON-STEROIDAL ANTI-INFLAMMATORY EYE DROPS ON THE EPITHELIUM CELLS OF THE CORNEA AND CONJUNCTIVA IN VITRO by O. I. Aleksandrova, I. N. Okolov, Yu. I. Khorolskaya, I. E. Panovа, M. I. Blinova

“…Objective: to evaluate the effect of NSAIDs eye drops with different preservatives on the viability of epithelial cells of human eyes in vitro. …”
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Evaluation of psychological indicators of pedagogical conservatism of university teachers by I.B. Avakyan

“…</strong> To identify psychological indicators that determine different levels of pedagogical conservatism of university teachers. …”
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LS-MambaNet: Integrating Large Strip Convolution and Mamba Network for Remote Sensing Object Detection by Lingyu Yan, Zijian He, Zhiqi Zhang, Guangqi Xie

“…However, in the presence of targets with high aspect ratios and significant scale variations in remotely sensed images, existing methods prefer CNN or transformer architectures but suffer from the limitations of overly fixed receptive fields or excessive computational complexity. …”
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Feature Enhanced Spatial–Temporal Trajectory Similarity Computation by Silin Zhou, Chengrui Huang, Yuntao Wen, Lisi Chen

“…Next, we propose a feature-enhanced Transformer with spatial–temporal information to learn correlation within the trajectory, and we further use mean-pooling to get the final trajectory embedding. …”
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Innovative machine learning approaches for complexity in economic forecasting and SME growth: A comprehensive review by Mustafa I. Al-Karkhi, Grzegorz Rza̧dkowski

“…This review categorizes studies by regional focus to highlight unique challenges in different economic landscapes and the adaptability of various forecasting models. …”
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Unsupervised hyperspectral noise estimation and restoration via interband-invariant representation learning by Zhaozhi Luo, Janne Heiskanen, Xinyu Wang, Yanfei Zhong, Petri Pellikka

“…Hyperspectral images (HSIs) acquired from different imaging platforms are inevitably contaminated by multiple types of noise. …”
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TDFNet: twice decoding V-Mamba-CNN Fusion features for building extraction by Wenlong Wang, Peng Yu, Mengmeng Li, Xiaojing Zhong, Yuanrong He, Hua Su, Yunxuan Zhou

“…Research shows the importance of both global context and spatial details for accurate building extraction. Therefore, methods integrating convolutional neural networks (CNNs) and visual transformers (ViTs) are popular nowadays. …”
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Application of artificial intelligence in insect pest identification - A review by Sourav Chakrabarty, Chandan Kumar Deb, Sudeep Marwaha, Md. Ashraful Haque, Deeba Kamil, Raju Bheemanahalli, Pathour Rajendra Shashank

“…Deep learning algorithms, such as convolutional neural networks (CNNs), are primarily used for AI-powered insect pest identification by categorizing insects based on their visual features through image-based classification methodology. These methods have revolutionized insect identification by analyzing large databases of insect images and identifying distinct patterns and features linked to different species. …”
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Impaired response inhibition to negative emotional stimuli in depressed adolescents with non-suicidal self-injury: a neurophysiological perspective by Lin Zhao, Su Hong, Xinyu Peng, Xiaoqing He, Jinhui Hu, Lingli Ma, Xinyi Liu, Wanqing Tao, Ran Chen, Zhenghao Jiang, Chenyu Zhang, Jing Liao, Jiaojiao Xiang, Qi Zeng, Linqi Dai, Qi Zhang, Wo Wang, Li Kuang

“…The ERP time-domain features related to response inhibition were extracted from the difference waves, converted to the time-frequency features using the short-time Fourier transform (STFT), and the time-frequency values of the region of interest (ROI) were extracted and statistically analyzed.ResultsUnder exposure to negative emotional stimuli, depressed adolescents with NSSI exhibited significantly larger P300 amplitudes compared to both depressed adolescents and healthy controls. …”
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Dispersión sísmica por presencia de capas someras de alta velocidad: modelamiento con diferencias finitas by Céspedes Sandra, Quintana Robinson, Ghisays Alfredo, Pérez Gabriel, Montes Luis

“…Despite conventional methods to eliminate noise mainly based in a mathematical approach, i.e., F-K analysis, Radon transform, we apply a deterministic scheme based on the modeling of wave propagation, generating the unwanted signals (Ernst &lt;em&gt;et al., &lt;/em&gt;1998; Blonk &lt;em&gt;et al., &lt;/em&gt;1995; Blonk and Hermann, 1994).…”
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Distributed learning process: principles of design and implementation by G. N. Boychenko, L. I. Kundozerova

“…This trend has led to the instructional interaction models transformation. Scientists have developed the theory of distributed cognition (Salomon, G., Hutchins, E.), and distributed education and training (Fiore, S. …”
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Construction and Application of a Real-time Grid Interpolation Station Service Based on Platform Tianqing by He Lin, Zhang Yabin, Xiao Weiqing, Huo Qing, Ji Qing, Feng Jieqiong

“…Through calling the location based services interface built on high-resolution multi-source fusion grid real-time analysis products, 3 methods of data interpolation services are proposed, including interpolation service based on national-provincial collaborative method, MDOS (Meteorological Data Operational System) correction, and special topics database. …”
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A model of sustainable development of scientific research health institutions, providing high-tech medical care by I. Yu. Bedoreva, L. S. Shalygina, O. A. Latukha

“…They became a practical guide for the creation of management systems for sustainable development in organizations of different spheres of activity.Problem and purpose. …”
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UMAP-based clustering split for rigorous evaluation of AI models for virtual screening on cancer cell lines* by Qianrong Guo, Saiveth Hernandez-Hernandez, Pedro J. Ballester

“…Using Linear Regression, Random Forest, Transformer-CNN, and GEM, we trained a total of 8400 models and evaluated under four splitting methods. …”
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Chinese Clinical Named Entity Recognition With Segmentation Synonym Sentence Synthesis Mechanism: Algorithm Development and Validation by Jian Tang, Zikun Huang, Hongzhen Xu, Hao Zhang, Hailing Huang, Minqiong Tang, Pengsheng Luo, Dong Qin

“…However, due to the complexity of clinical texts, the diversity and large quantity of named entity types, and the unclear boundaries between different entities, existing advanced methods rely to some extent on annotated databases and the scale of embedded dictionaries. …”
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