A green synthetic method for cobalt(II,III) oxide nanoparticles with high surface activity by Ya. Absalan, R. Alabada, M. R. Razavi, M. Gholizadeh, O. V. Avramenko, I. N. Bychkova, O. V. Kovalchukova

“…Image Pro Plus 6 software was used to measure the size of nanoparticles. …”
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Lowering blood pressure after acute intracerebral haemorrhage: protocol for a systematic review and meta-analysis using individual patient data from randomised controlled trials pa... by Keith W Muir, Gary Ford, Philip M Bath, Adnan I Qureshi, Thompson G Robinson, Rustam Al-Shahi Salman, Hisatomi Arima, Lisa J Woodhouse, Eivind Berge, Nikola Sprigg, Xia Wang, Tom J Moullaali, Zhe Kang Law, Candice Delcourt, Kailash Krishnan, Else C Sandset, Craig S Anderson, Yuko Palesch, John Potter, Jeff Saver, Nerses Sanossian, Ken Butcher, Kennedy R Lees, Janneke Horn

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Advancement of the DRPE Encryption Algorithm for Phase CGHs by Random Pixel Shuffling by Alfonso Blesa, Francisco J. Serón

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IncSAR: A Dual Fusion Incremental Learning Framework for SAR Target Recognition by George Karantaidis, Athanasios Pantsios, Ioannis Kompatsiaris, Symeon Papadopoulos

“…To mitigate the speckle noise inherent in SAR images, we employ a denoising module based on a neural network approximation of Robust Principal Component Analysis (RPCA), leveraging a simple neural network for efficient noise reduction in SAR imagery. …”
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Identity behaviours and perceptions of mixed marriages by young learners from Poland, the Czech Republic, Slovakia and Ukraine - A socio-pedagogical comparative study by Ewa Ogrodzka-Mazur, Anna Szafrańska

“…The basis for outlining the sense of identity in local, regional, national, European and extra-European dimensions manifested by academic youth and their perceptions of mixed marriages was an international comparative study conducted from 2019 to 2021 in the Polish-Czech-Slovak-Ukrainian borderland. The analysis and interpretation of the collected empirical material indicate that – although there have been political transformations in the neighbouring countries, they cooperate in many spheres – both traditional ('constant') elements and new phenomena and processes, determined by the complexity and diversity of historical, cultural-social, cultural-personal and economic conditions, are preserved in the image of identity behaviour manifested by students today. …”
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Deepfakes in Visual Art: Differentiating AI-Generated Art From Human Art Using Convolutional Neural Networks (CNN) by Ngonidzashe Tinago, Silas Formunyuy Verkijika, Kelibone Eva Mamabolo

“…By employing Error Level Analysis (ELA), an image forensic technique for detecting fake and real images, this study develops a robust CNN classifier. …”
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Improvement of classification accuracy of functional near-infrared spectroscopy signals for hand motion and motor imagery using a common spatial pattern algorithm by Omid Asadi, Mahsan Hajihosseini, Sima Shirzadi, Zahra Einalou, Mehrdad Dadgostar

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Interpretable multitask deep learning model for detecting and analyzing severity of rice bacterial leaf blight by Sudhesh K. M, Aarthi R., Sainamole Kurian. P, Sikha O.K

“…Early detection and stage-specific classification of BLB are essential for timely intervention, particularly in complex environments with cluttered backgrounds and overlapping symptoms. …”
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Enhancing Geothermal Anomaly Detection with Multi-Source Thermal Infrared Data: A Case of the Yangbajing–Yangyi Basin, Tibet by Chunhao Li, Na Guo, Yubin Li, Haiyang Luo, Yexin Zhuo, Siyuan Deng, Xuerui Li

“…Geothermal resources are crucial for sustainable energy development, yet accurately detecting geothermal anomalies in complex terrains remains a significant challenge. …”
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Research progress on the application of digital technology in the diagnosis and treatment of tooth wear by HE Yi, WANG Dingjie, XIAO Yuhong

“…Deep learning technology can also achieve image recognition and automated analysis to reduce human error and improve diagnostic efficiency, while quantitative analysis techniques guide clinical decision-making by more accurately calculating the tooth volume, surface area, and wear depth. …”
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ULTRASOUND CRITERIA OF EARLY DIAGNOSTICS OF OVARIAN CARCINOMA by L. A. Ashrafyan, N. A. Babaeva, I. B. Antonova, S. V. Ivashina, A. V. Lyustik, O. I. Aleshikova, E. V. Gerfanova, А. А. Dobrenko

“…The control group was made of 100 female patients with morphologically verified ovarian tumors (serosal cystadenomas, thecomas, fibromas). A complex of the following ultrasound methods was used during the study: 2D and 3D ultrasonography in B mode, in color Doppler and power mapping mode, 3D angiography, spectrum Doppler imaging.Results. …”
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Comprehensive review of dimensionality reduction algorithms: challenges, limitations, and innovative solutions by Aasim Ayaz Wani

“…Dimensionality reduction (DR) simplifies complex data from genomics, imaging, sensors, and language into interpretable forms that support visualization, clustering, and modeling. …”
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“On the Question of the Psychology of the Actor's Creativity” by L.S. Vygotsky: the Correlation of the Originality of Personal Characteristics and Professional Activity by Vladimir S. Sobkin, Tatyana A. Lykova

“…Objectives. The research is a complex analysis of personal characteristics of actors during the early stage of mastering their professional activity. …”
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SYSTEMIC GENERATION OF SOLVING NECESSARY PROFESSIONAL THE TASKS by Vladimir M. Nesterenko

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Unsupervised Feature Selection via a Dual-Graph Autoencoder with <inline-formula><math display="inline"><semantics><mrow><msub><mi mathvariant="bold-script">l</mi><mrow><mn mathvar... by Zhichao Song, Meiling Chen, Liang Xie, Xi Fang

“…In the era of big data, high-dimensional datasets have become increasingly common in fields such as biometrics, computer vision, and medical imaging. While such data contain abundant information, they are often accompanied by substantial noise, high redundancy, and complex intrinsic structures, posing significant challenges for analysis and modeling. …”
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Infrared Moving Small Target Detection Based on Spatial&#x2013;Temporal Feature Fusion Tensor Model by Deyong Lu, Wei An, Haibo Wang, Qiang Ling, Dong Cao, Miao Li, Zaiping Lin

“…By superimposing all the decomposed sparse components into the target tensor, small target can be segmented from the reconstructed target image. Experimental results of synthetic and real data demonstrate that the proposed method is superior to other state-of-the-art methods in visual and numerical results for targets with different sizes, velocities, and SCR values under different complex backgrounds.…”
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Gene expression cluster differences and molecular correlation with the STING pathway in orbital MALT lymphoma and orbital IgG4-related eye disease by Mizuki Tagami, Keishiro Isayama, Mizuho Nishio, Atsuko Yoshikawa, Norihiko Misawa, Atsushi Sakai, Yusuke Haruna, Mami Tomita, Yoichi Mizukami, Atsushi Azumi, Shigeru Honda

“…These diseases may show similar shadows on radiologic images, and many cases are difficult to differentiate clinically. …”
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DISCURSIVE MEANS OF PRAGMATIC INFLUENCE IN THE SERIES OF GRAPHIC NOVELS "MAUS" BY ART SPIEGELMAN by Michael Kamensky

“…As a result of the analysis the authors determined the peculiar features of the graphical novel as a communicatively oriented form of literature aimed at conveying the author's opinion and feelings through language signs; determined the role of the visual component of the graphical novel in forming the pragmatic potential of the novel through the images presented on the sequentially organized panels; proved that the images in the graphical novel are an instrument of portraying the author's world and a mechanism of provoking the reader's emotional response necessary to believe the author's narrative.…”
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Multiconsensus of Second-Order Multiagent Networks via Pulse-Modulated Intermittent Control by Ming Chi, Xu-Long Wang, Ding-Xin He, Zhi-Wei Liu

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Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification by Apeksha Aggarwal, Vibhav Sharma, Anshul Trivedi, Mayank Yadav, Chirag Agrawal, Dilbag Singh, Vipul Mishra, Hassène Gritli

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