Segmentation and particle size analysis of coal particles based on ISUNet by Deqiang CHENG, Rui ZHANG, Tongxi XIE, Jingjing LIU, Lijuan ZHENG, Qiqi KOU, He JIANG

“…The ISUNet model introduces a compressed excitation atrous spatial pyramid pooling module and a Transformer-based multi-path iterative encoder. The compressed excitation atrous spatial pyramid pooling module enhances channel information and global context information of features at different scales, solving the problem of over-segmentation of coal particles. …”
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NETWORK SOCIETY AND ITS REALITIES: DIGITAL ETIQUETTE by R. I. Mamina, E. E. Yelkina

“…The basis of network society is formed by the Internet and social and media networks infrastructure that transform social reality and methods of social communication at individual, group and global levels. …”
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On Self-Positioning and Self-Fixation of Parts Made of Alloys with Shape Memory Effect under Component Assembling by E. Yu. O. Balaev

“…Disadvantages of these methods include assembly, residual and other stresses, engineering constraints, etc. …”
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Remote Sensing Image Scene Classification Based on Mutual Learning With Complementary Multi-Features by Anzhi Chen, Mengyang Xu

“…The proposed MLCMFNet method was evaluated using four popular open-source datasets (RSSCN7, AID, UC-Merced, and NWPU-RESISC45). …”
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Utilizing Machine Learning Techniques for Cancer Prediction and Classification based on Gene Expression Data by Mariwan Mahmood Hama Aziz, Sozan Abdullah Mahmood

“…It holds the promise of delivering systematic, precise, and scientifically backed diagnoses for different types of cancer. Lately, several studies have delved into cancer classification by leveraging data mining techniques, machine learning algorithms, and statistical methods to thoroughly analyze high-dimensional datasets. …”
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A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach by Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi

“…Deep Learning (DL), which can precisely learn the intrinsic features of the websites and recognize phishing websites, is one of the innovative techniques utilized to solve this issue. Methods In this study, we proposed a novel OptSHQCNN phishing detection method. …”
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Comparative Results of Emergency Carotid Endarterectomy and Emergency Carotid Angioplasty With Stenting in the Acute Period of Ischemic Stroke. Multicenter Study Results by A. N. Kazantsev, V. A. Porkhanov, G. G. Khubulava, R. A. Vinogradov, V. N. Kravchuk, M. A. Chernyavsky, E. Y. Kachesov, A. A. Erofeyev, V. V. Matusevich, K. P. Chernykh, N. E. Zarkua, G. S. Bagdavadze, R. Y. Lider, M. S. Bayandin, A. V. Khudetskaya, A. P. Chernykh, A. G. Baryshev, A. R. Shabayev, V. A. Lutsenko, R. V. Sultanov, D. V. Fattakhov, A. V. Kutsenko, L. V. Timchenko, A. E. Chikin, E. Y. Kalinin, S. V. Artyukhov, T. E. Zaitseva, Y. P. Linets

“…AIM OF STUDY Study of hospital results of emergency carotid endarterectomy (CEE) and carotid angioplasty with stenting (CAS) in the acute period of acute cerebrovascular accident (ACVA).MATERIAL AND METHODS From January 2008 to August 2020, the study included 615 patients with hemodynamically significant stenosis of the internal carotid arteries (ICA), operated on in the acute period of ischemic stroke (within 3 days from the onset of stroke). …”
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Dual Attention-Based Global-Local Feature Extraction Network for Unsupervised Change Detection in PolSAR Images by Dazhi Xu, Ming Li, Yan Wu, Peng Zhang, Xinyue Xin

“…Numerical experiments on five real spaceborne PolSAR datasets demonstrate that our DA-GLN is more competitive than other state-of-the-art methods.…”
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Risk factors for development of the post-COVID syndrome by N. S. Asfandiyarova, E. V. Philippov, O. V. Dashkevich, A. G. Iakubovskaia, K. A. Moseichuk, N. S. Zhuravleva, S. A. Kulikov, E. N. Fedyaeva

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Pathogenetic therapy of mitral valve prolapse by E. G. Malev, S. V. Reeva, M. Yu. Omelchenko, L. B. Mitrofanova, E. V. Timofeev, N. N. Parfenova, E. B. Luneva

“…To evaluate the effect of angiotensin II receptor blocker (ARB) therapy on the expression of transforming growth factor-β (TGF-β) in the myxomatous mitral valve, on the serum levels of TGF-β1/TGF-β2 and the left ventricular (LV) systolic function in patients with mitral valve prolapse (MVP).Material and methods. …”
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Advancing Text-to-Image Generation: A Comparative Study of StyleGAN-T and Stable Diffusion 3 under Neutrosophic Sets by Mohamed G Sadek, A.Y. Hassan, Tamer O. Diab, Ahmed Abdelhafeez

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Extraction of carbon powder from pyrolysis of low-density polyethylene plastics and its application in composite laminates by Kadambari C S Vyasa Krishnaji, Veeresh Kumar GB, Santosh Kumar Sahu, Mohammed Aman

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SeedSeg: image-based transgenic seed counting for segregation analysis of T-DNA loci by Santiago Hernández, Vivian Zhong, Jennifer A. N. Brophy

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Conversion between the numerical simulation and the calculation using the Deformation Energy Ratio approach by Kirill Golubiatnikov, František Wald

“…In numerical simulations and calculations, material curves are defined in different ways. A direct transfer of quantities between them is inaccurate, requiring a proper transformation of key values. …”
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Decoding the footsteps of the African savanna: Classifying wildlife using seismic signals and machine learning by René Steinmann, Tarje Nissen‐Meyer, Fabrice Cotton, Frederik Tilmann, Beth Mortimer

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Stochastic Transportation Problem with Multichoice Random Parameter by Talari Ganesh, K. K. Paidipati, Christophe Chesneau

“…Then, the chance-constrained method is applied to transform the probabilistic constraints into deterministic constraints. …”
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Dual Solutions and Stability Analysis of Cu-H2O-Casson Nanofluid Convection past a Heated Stretching/Shrinking Slippery Sheet in a Porous Medium by Kifle Adula Duguma, Oluwole Daniel Makinde, Lemi Guta Enyadene

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adm: An R package for constructing abundance‐based species distribution models by Admir Cesar deOliveira Junior, Santiago José Elías Velazco

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Machine learning applications in river research: Trends, opportunities and challenges by Long Ho, Peter Goethals

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A functional data analysis approach for modelling frequency‐modulated tonal sounds in animal communication by Maria Silvia Labriola, Petra Oswine Pammer, Giulia Pedrazzi, Giancarlo Giacomini, Giovanna Jona Lasinio, Daniela Silvia Pace

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