WAR IMPACT ASSESSMENT ON THE STATE OF REGIONAL LABOUR MARKETS IN UKRAINE by Lidiia Horoshkovа, Viktoriia Sydorenko, Yuliia Herasymenko

“…Value / Originality. The distinctive feature of this study is its comparative analysis of the impact of the war on the labour market of individuals with higher education in regions that have experienced markedly disparate circumstances since the onset of the full-scale invasion. …”
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Advancing e-waste classification with customizable YOLO based deep learning models by P. Akhil Rajeev, Vivek Dharewa, D. Lakshmi, G. Vishnuvarthanan, Jayant Giri, T. Sathish, Mubarak Alrashoud

“…Abstract The burgeoning problem of electronic waste (e-waste) management necessitates sophisticated, efficient, and precise classification techniques for recycling and repurposing. …”
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The book selling landscape in Tyumen region by N. P. Dvortsova, O. B. Volkomorova, E. K. Bulatova

“…Obviously, the problem of creating an integrated book environment (publishing and bookselling) remains to be solved.…”
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Role of social innovations in health in the prevention and control of infectious diseases: a scoping review by Maryam Khazaee-Pool, Tahereh Pashaei, Maryam Zarghani, Koen Ponnet

“…To answer these challenges, tools should be used that have the ability to answer the problem from several aspects. Social innovation as an appropriate process in response to health crises has led to new forms of relationships and empowered the communities. …”
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Medium-term forecast of the age structure of teachers in secondary schools in the Russian Federation by L. V. Vasilieva, K. V. Lebedev, E. S. Sumenova

“…Scientific novelty. The conceptual feature of the present study lies in the view of the trends in the development of age cohorts in homogeneous groups. …”
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METHODOLOGICAL ASPECTS OF IDENTIFICATION OF TISSUE-SPECIFIC PROTEINS AND PEPTIDES FORMING THE CORRECTIVE PROPERTIES OF INNOVATIVE MEAT PRODUCTS by Natal’ya L. Vostrikova, Irina M. Chernukha, Daniil V. Khvostov

“…In this regard, the problem of multilateral study of food products, in particular their identification, is the most relevant, because the modern technology of their production has undergone significant changes and requires the development of “gentle “ processing modes. …”
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Investigation of an Efficient Multi-Class Cotton Leaf Disease Detection Algorithm That Leverages YOLOv11 by Fangyu Hu, Mairheba Abula, Di Wang, Xuan Li, Ning Yan, Qu Xie, Xuedong Zhang

“…Specifically, the U-Net v2 module is embedded in the backbone network to boost the multi-scale feature extraction performance in YOLOv11. Meanwhile, the CBAM attention mechanism is integrated to emphasize critical disease-related features. …”
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Hematologic mask of infective endocarditis as a cause of fever of unknown origin: a case report by Yu. A. Lutokhina, T. B. Andrushchishina, T. N. Erdniev, G. A. Mekhtieva, I. L. Petushkov, A. S. Yasneva, O. V. Blagova

“…Further follow-up revealed satisfactory condition of the patient.A feature of this case is the atypical course of infective endocarditis, occurring under a hematological mask, which made its diagnosis difficult. …”
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Smoke and Fire-You Only Look Once: A Lightweight Deep Learning Model for Video Smoke and Flame Detection in Natural Scenes by Chenmeng Zhao, Like Zhao, Ka Zhang, Yinghua Ren, Hui Chen, Yehua Sheng

“…This combination enhances the response of the unobscured regions to compensate for the feature loss in occluded regions, thereby addressing the occlusion problem in dynamic backgrounds. …”
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Tampered text detection via RGB and frequency relationship modeling by Yuxin WANG, Boqiang ZHANG, Hongtao XIE, Yongdong ZHANG

“…In recent years, the widespread dissemination of tampered text images on the Internet constitutes an important threat to the security of text images.However, the corresponding tampered text detection (TTD) methods have not been sufficiently explored.The TTD task aims to locate all text regions in an image while judging whether the text regions have been tampered with according to the authenticity of the texture.Thus, different from the general text detection task, TTD task further needs to perceive the fine-grained information for real-world and tampered text classification.TTD task has two main challenges.One the one hand, due to the high similarity in texture between real-world texts and tampered texts, TTD methods that only learn from RGB domain features have limited capability to distinguish these two-category texts well.On the other hand, as the different detecting difficulty exists in real-world texts and tampered texts, the network cannot well balance the learning process of the two-category texts, resulting in the imbalance detection performance between real-world and tampered texts.Compared with RGB domain features, the discontinuity of text texture in frequency domain can help the network to identify the authenticity of text instances.Accordingly, a new TTD method based on RGB and frequency information relationship modeling was proposed.The features in the RGB and frequency domains were extracted by independent feature extractors respectively.Thus, the identification ability of tampered texture can be enhanced by introducing frequency information during the texture perception.Then, a global RGB-frequency relationship module (GRM) was introduced to model the texture authenticity relationship between different text instances.GRM referred to the RGB-frequency features of other text instances in the same image to assist in judging the authenticity of the current text instance, which solved the problem of imbalanced detection performance.Furthermore, a new TTD dataset (Tampered-SROIE) was proposed to evaluate the effectiveness of proposed method, which contains 986 images (626 training images and 360 test images).By evaluating on the Tampered-SROIE, the proposed method obtains 95.97% and 96.80% in F-measure for real-world and tampered texts respectively and reduces the imbalanced detection accuracy by 1.13%.The proposed method will give new insights to the TTD community from the perspective of network structure and detection strategy.Tampered-SROIE also provides an evaluation benchmark for future TTD methods.…”
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Identification of glass eel capture equipment in the Yangtze River estuary based on high-spatial -resolution imagery and an improved YOLOv8 model by Pengfei Zhu, Weifeng Zhou

“…To avoid the false detection of small targets, we introduce the asymptotic feature pyramid network to replace the original detection head, and add a detection layer for small targets, which improves the accuracy but increases the parameters and computation volume. …”
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Plasma-electrolyte discharges in a gas-liquid medium for the production of hydrogen by A. F. Gaysin, F. M. Gaysin, L. N. Bagautdinova, A. A. Khafizov, R. I. Valiev, E. V. Gazeeva

“…METHODS. To solve this problem, experimental studies were carried out on a model installation, which consists of a power supply system, a discharge chamber, equipment for monitoring and controlling the operation of the installation and measuring the characteristics of an electric discharge. …”
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Lexical Emergence on Reddit: An Analysis of Lexical Change on the “Front Page of the Internet” by Hanna Mahler

“…Their methodology entails searching for word forms that start off with a low overall frequency and that feature a high correlation coefficient with their rank in the time series over the whole year [Grieve et al. 2017: 103-105]. …”
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Positioning method for roadheaders based on fusion of LiDAR and inertial navigation by LIU Jing, WEI Zhiqiang, CAI Chunmeng, LIU Yang

“…A density-based spatial clustering of applications with noise (DBSCAN) and a shape-feature-based spherical target point cloud extraction algorithm were designed to address the problem that conventional methods relying on reflection intensity for distinguishing spherical targets fail in environments with dust accumulation. …”
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Utilization of Flaxseed Oil as Releasing For Some Natural Pigments and Antioxidants by Elsayed, A.A. Hendawy, Akram, M. M. Elanany, Ali, M. Bayomey

“…On the other hand, this feature causes a problem, making it susceptible to oxidation and rancidity more quickly. …”
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Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio by Oleg V. Vorobyov, Alexey I. Rybakov

“…Noise-proof coding is used in many communication systems to provide an acceptable level of performance. A particular feature of its use is the inclusion of redundant characters in a coded packet. …”
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FTIR-SpectralGAN: A Spectral Data Augmentation Generative Adversarial Network for Aero-Engine Hot Jet FTIR Spectral Classification by Shuhan Du, Yurong Liao, Rui Feng, Fengkun Luo, Zhaoming Li

“…Aiming at the overfitting problem caused by the limited sample size in the spectral classification of aero-engine hot jets, this paper proposed a synthetic spectral enhancement classification network FTIR-SpectralGAN for the FT-IR of aeroengine hot jets. …”
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Two-dimensional spatial orientation relation recognition between image objects by Gong Peiyong, Zheng Kai, Jiang Yi, Zhao Huixuan, Huai Honghao, Guan Ruijie

“…Recent advances in computer vision have concentrated on comprehension of the semantic features of images, particularly the spatial relations between objects—a fundamental semantic feature of visual scene understanding. …”
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Multi-Sensor Model for Earth Observation Robust to Missing Data via Sensor Dropout and Mutual Distillation by Francisco Mena, Dino Ienco, Cassio F. Dantas, Roberto Interdonato, Andreas Dengel

“…Unlike works that use the SensD at the input or feature level, we use it at the decision level. Moreover, we include a mutual distillation strategy to improve the robustness. …”
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MIMO-Uformer: A Transformer-Based Image Deblurring Network for Vehicle Surveillance Scenarios by Jian Zhang, Baoping Cheng, Tengying Zhang, Yongsheng Zhao, Tao Fu, Zijian Wu, Xiaoming Tao

“…Motion blur is a common problem in the field of surveillance scenarios, and it obstructs the acquisition of valuable information. …”
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