SOME ASPECTS OF KRASNODAR'S REGIONAL PHILHARMONICACTIVITY IN THE CONTEXT OF A NEW POLITICAL COURSE by Nina Romanova

“…The paper analyzes the problem of creating music on a local theme. To accomplish the task, close contacts were required from all branches of the Kuban artistic culture. …”
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Generation of diverse biological forms through combinatorial interactions between tissue polarity and growth. by Richard Kennaway, Enrico Coen, Amelia Green, Andrew Bangham

“…A major problem in biology is to understand how complex tissue shapes may arise through growth. …”
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Riemannian Manifolds for Biological Imaging Applications Based on Unsupervised Learning by Ilya Larin, Alexander Karabelsky

“…It is time to recognize the significance of advances in feature extraction and real-time analysis of information from cells. …”
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Multitarget Vehicle Tracking and Motion State Estimation Using a Novel Driving Environment Perception System of Intelligent Vehicles by Yuren Chen, Xinyi Xie, Bo Yu, Yi Li, Kunhui Lin

“…Driving environment perception systems, as an indispensable component of intelligent vehicles, have the potential to solve this problem from the perspective of image processing. …”
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Using Partial Differential Equation Face Recognition Model to Evaluate Students’ Attention in a College Chinese Classroom by Xia Miao, Ziyao Yu, Ming Liu

“…The partial differential equation learning model is applied to another high-level visual-processing problem: face recognition. A novel feature selection method based on partial differential equation learning model is proposed. …”
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The Morphological Description Automation of the Optic Nerve Head Boundary in Digital Fundus Images by E. G. Tanaeva, R. G. Khafizov

“…It shows that optic nerve head images with blurred boundaries are characterized by a more linear increase in brightness in the frontal region compared to the accumulation result for the case of normal optic nerve head. To identify this feature the firstorder derivative can be used. To reduce the effect of blood vessels on the result of processing luminance samples along the diagonal is performed in the red channel since the blood vessels effect on the optic nerve head border is minimized in the red color component. …”
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Research on CTSA-DeepLabV3+ Urban Green Space Classification Model Based on GF-2 Images by Ruotong Li, Jian Zhao, Yanguo Fan

“…However, due to the complex morphology and high degree of fragmentation of urban green spaces, it is still challenging to effectively distinguish urban green space types from high spatial resolution images. To solve the problem, a Contextual Transformer and Squeeze Aggregated Excitation Enhanced DeepLabV3+ (CTSA-DeepLabV3+) model was proposed for urban green space classification based on Gaofen-2 (GF-2) satellite images. …”
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Learning a prior on regulatory potential from eQTL data. by Su-In Lee, Aimée M Dudley, David Drubin, Pamela A Silver, Nevan J Krogan, Dana Pe'er, Daphne Koller

“…The extent to which the different features influence the regulatory potential is learned automatically, making Lirnet readily applicable to different datasets, organisms, and feature sets. …”
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A Novel Dilated Convolution Light Weight Neural Network (DCLW-NN) for the Classification of Breast Thermograms by S. Malathi, A. Shenbagavalli, N. Sriraam

“…Convolutional Neural Network (CNN) is a deep learning model to process the hierarchical feature of visual data to conduct image classification. …”
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Electromagnetic signal modulation recognition technology based on lightweight deep neural network by Sicheng ZHANG, Yun LIN, Ya TU, Shiwen Mao

“…In response to the trend that in the 6th generation wireless (6G) era,mobile communications and artificial intelligence will be closely integrated,and a huge number of edge intelligent signal processing nodes will be deployed,an efficient and intelligent electromagnetic signal recognition model was proposed,which could be deployed on resource-constrained edge devices.The constellation diagram of electromagnetic signal was firstly drawn to visualize electromagnetic signal as a two-dimensional image,and color the constellation diagram according to the normalized point density to achieve feature enhancement.Then,a binary deep neural network was adopted to recognize the colored constellation diagrams.It was shown that the approach can guarantee a high recognition accuracy,which significantly reduced the model storage and calculation costs.For verification,the proposed approach was applied to the problem of electromagnetic signal modulation recognition.The experiment uses eight commonly used digital modulation signals and selects additive white Gaussian noise as the channel environment.The experimental results show that the scheme can achieve a comprehensive recognition rate of 96.1% under the noise condition of -6～6 dB,while the size of the network model is only 166 KB.Further,the execution time,when executed on a Raspberry Pi 4B,is only 290 ms.Compared to a full-precision network of the same scale,the accuracy is increased by 0.6%,the model is reduced to <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML"> <mfrac> <mtext>1</mtext> <mrow> <mtext>26</mtext><mo>.…”
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Interrelation of Natural Polyphenol and Fibrosis in Diabetic Nephropathy by Ye Ma, Jiakun Wang, Juyue Fan, Huiyang Jia, Jinyao Li

“…Renal fibrosis, which corresponds to excessive deposition of extracellular matrix and leads to scarring, is a characteristic feature of the various progressive stages of DN. It can trigger various pathological processes leading to the activation of autophagy, inflammatory responses and a vicious circle of oxidative stress and inflammation. …”
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Why do we Moot? Exploring the Role of Mooting in Legal Education by Andrew Lynch

“…This discussion will be given contemporary relevance by an examination of how three Queensland Law Schools currently feature moots in their undergraduate curriculum. …”
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A UAV-Based Multi-Scenario RGB-Thermal Dataset and Fusion Model for Enhanced Forest Fire Detection by Yalin Zhang, Xue Rui, Weiguo Song

“…A time-synchronized multi-scene, multi-angle aerial RGB-Thermal dataset (RGBT-3M) with “Smoke–Fire–Person” annotations and modal alignment via the M-RIFT method was constructed as a way to address the problem of data scarcity in wildfire scenarios. Finally, we propose a CP-YOLOv11-MF fusion detection model based on the advanced YOLOv11 framework, which can learn heterogeneous features complementary to each modality in a progressive manner. …”
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Object Re-Identification Based on Federated Incremental Subgradient Proximal Optimization by Li Kang, Chuanghong Zhao, Jianjun Huang

“…Considering the complexity of ReID scenarios, this article adopts a ViT-based task model to cope with feature skew across clients. Additionally, it defines camera federated scenarios and dataset federated scenarios for problem modeling and analysis. …”
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RP-DETR: end-to-end rice pests detection using a transformer by Jinsheng Wang, Tao Wang, Qin Xu, Lu Gao, Guosong Gu, Liangquan Jia, Chong Yao

“…In this regard, the paper introduces an effective rice pest detection framework utilizing the Transformer architecture, designed to capture long-range features. The paper enhances the original model by adding the self-developed RepPConv-block to reduce the problem of information redundancy in feature extraction in the model backbone and to a certain extent reduce the model parameters. …”
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A New Air Traffic Flow Management User-Driven Prioritisation Process for Low Volume Operator in Constraint: Simulations and Results by Sergio Ruiz, Laurent Guichard, Nadine Pilon, Kris Delcourte

“…Some AUs are more vulnerable to this problem because they typically operate a low number of flights, e.g., business aviation. …”
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Spring barley variety ‘Azimut’ by E. G. Filippov, A. A. Dontsova, D. P. Dontsov, E. S. Doroshenko, R. N. Bragin, I. M. Zasypkina

“…Considerable opportunities for solving this problem lie in the cultivation of new domestic varieties of barley. …”
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INTERNATIONAL ANTI-CORRUPTION STANDARDS IN THE PRIVATE SPHERE by Tetyana Syroid

“…The focus is on the anti-corruption norms of the European Union (Treaty on the Functioning of the European Union, directives, sectoral norms, etc.) and the policy of the Union regarding the reform of existing legal prescriptions and relevant measures in this area. It is noted that a feature of EU acts is the emphasis on the role of the private sector as a partner in the fight against corruption. …”
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MATHEMATICAL MODEL OF A THERMOELECTRIC SEMICONDUCTOR SYSTEM FOR VISUALIZING THE TEMPERATURE FIELDS OF OBJECTS by O. V. Evdulov, R. A. Magomadov, K. A. Magomedova, E. A. Dzhabrailova

“…A mathematical simulation of  the system was performed based on the solution of a dynamic two- dimensional heat conduction problem with local heat sources and sinks over  the area of a liquid crystal film. …”
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On the computation of the Basal Envelope Surface of Talwegs using the Analytic Element Method by Le Moine, Nicolas

“…The stream network is a major feature of a landscape, conveying water, sediment, and solute from hillslopes to the ocean. …”
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