The prospect of using liquid biopsy in diagnosis and treatment strategy in patients with carcinomas of unknown primary by I. B. Kononenko, M. G. Filippova, A. V. Snegovoy, S. L. Gutorov

“…In order to assess the current state of the problem, a search and analysis of relevant data of the scientific databases PubMed, Medline, RISC was carried out.Results. …”
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Optimizing Class Imbalance in Facial Expression Recognition Using Dynamic Intra-Class Clustering by Qingdu Li, Keting Fu, Jian Liu, Yishan Li, Qinze Ren, Kang Xu, Junxiu Fu, Na Liu, Ye Yuan

“…Here, we propose a method based on dynamic intra-class clustering (DICC) to optimize the class imbalance problem in facial expression recognition tasks. The DICC method dynamically adjusts the distribution of majority classes by clustering them into subclasses and generating pseudo-labels, which helps the model learn more discriminative features and improve classification accuracy. …”
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Takotsubo syndrome with transient obstruction of the left ventricle outflow tract: A case report by Dmitrii S. Maznev, Dmitrii S. Evdokimov, Ekaterina D. Evdokimova

“…CGS in patients with TS is a life-threatening complication and a challenging therapeutic problem, especially when it is also associated with a dynamic LVOTO. …”
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University proceedings. Volga region. Medical sciences by S.V. Gudimov, V.N. Nikolenko, I.A. Osetrov, I.E. Pleshchev, G.F. Klimova, R.E. Sabekiya

“…The purpose of the study: to identify the features of the level of physical fitness of students, taking into account sexual dimorphism and differences in morphological constitution. …”

An MILP Model for Optimizing Quality Inspection Allocation with Technology Selection and Variable Sampling Rates by Michele Ronchi, Cristian Cafarella, Matteo Gabellini, Alberto Regattieri, Mauro Gamberi

“…Specifically, it simultaneously optimizes the inspection method selection, sampling rate, and detection rate across multi-product systems featuring multiple inspection technologies with varying costs and accuracies. …”
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Neuro-Visual Adaptive Control for Precision in Robot-Assisted Surgery by Claudio Urrea, Yainet Garcia-Garcia, John Kern, Reinier Rodriguez-Guillen

“…These networks address common deep learning challenges, such as the vanishing gradient problem, and facilitate the generation of smooth control signals that minimize wear on the robot’s actuators. …”
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Vinogradov's students by Dmitry Tsigankov, Pavel Naumov

“…This article is devoted to the problem of relations between professor of Moscow University P. …”
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Plasma proteome fingerprint in kidney diseases by Kirill S. Nikolsky, Arthur T. Kopylov, Valeriya I. Nakhod, Natalia V. Potoldykova, Dmitry V. Enikeev, Tatiana V. Butkova, Liudmila I. Kulikova, Kristina A. Malsagova, Vladimir R. Rudnev, Denis V. Petrovskiy, Alexander A. Izotov, Anna L. Kaysheva

“…IntroductionKidney diseases pose a serious healthcare problem because of their high prevalence, worsening of patients’ quality of life, and high mortality. …”
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Investigation of Free Vibration in Fluid-Loaded Cylindrical Shells with a Three-Layer Sandwich Wall and an Auxetic Central Layer by Korosh Khorshidi, Saboor Savvafi, Sadegh Zobeid

“…The central layer of this structure features a re-entrant honeycomb auxetic pattern, while the inner and outer layers are assumed to be isotropic and constructed from aluminum. …”
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Prob-sparse self-attention extraction of time-aligned dynamic functional connectivity for ASD diagnosis by Hongwu Chen, Fan Feng, Pengwei Lou, Ying Li, MingLi Zhang, Feng Zhao

“…In this paper, we propose an ASD classification framework PSA-FCN which is based on time-aligned DFC and Prob-Sparse Self-Attention to address this problem. Specifically, we introduce Prob-Sparse Self-Attention to selectively extract global features, and use self-attention distillation as a transition at each layer to capture local patterns and reduce dimensionality. …”
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Deep Learning for Atmospheric Modeling: A Proof of Concept Using a Fourier Neural Operator on WRF Data to Accelerate Transient Wind Forecasting at Multiple Altitudes by Paulo Alexandre Costa Rocha, Jesse Van Griensven Thé, Victor Oliveira Santos, Bahram Gharabaghi

“…This study addresses the problem of the computational cost of transient CFD simulations, which rely on iterative time-step calculations, by employing deep learning to generate optimized initial conditions for accelerating the Weather Research and Forecasting (WRF) model. …”
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Spatiotemporal Flood Hazard Classification in Bangkok Using Graph Convolutional Network and Temporal Fusion Transformer by Pakpoom Chaimook, Nirattaya Khamsemanan, Cholwich Nattee, Alice Sharp

“…Traditional flood prediction models often fail to capture spatial correlations across districts and the temporal patterns within different types of features. To address this problem, this study proposes a hybrid deep learning framework combining Graph Convolution Network (GCN) and the Temporal Fusion Transformer (TFT) for predicting flood hazard levels in 50 Bangkok districts. …”
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Developing New Software for Functional Food Production by Elena Yu. Titorenko, Natalia B. Trofimova, Evgenia O. Ermolaeva, Ivan E. Trofimov, Leonid I. Breskin, Igor V. Surkov, Natalia V. Astakhova

“…Study objects and methods. The research featured food production company LLC Yug (Biysk, Russia) that specializes in functional products and various ready-made software automation solutions. …”
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Towards 3D Reconstruction of Multi-Shaped Tunnels Utilizing Mobile Laser Scanning Data by Xuan Ding, Shen Chen, Mu Duan, Jinchang Shan, Chao Liu, Chuli Hu

“…This study addresses this problem by developing a novel method for the 3D reconstruction of multi-shaped tunnels based on mobile laser scanning data. …”
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Improving thyroid disorder diagnosis via innovative stacking ensemble learning model by Ayesha Hassan, Shabana Ramzan, Ali Raza, Muhammad Munwar Iqbal, Aseel Smerat, Norma Latif Fitriyani, Muhammad Syafrudin, Seung Won Lee

“…Methods The proposed methodology involved exploratory data analysis and preparation, which included handling missing values, encoding categorical values, and selecting features. The synthetic minority over-sampling technique technique is utilized to overcome the problem of class imbalance. …”
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Sketch-Guided Topology Optimization with Enhanced Diversity for Innovative Structural Design by Siyu Zhu, Jie Hu, Jin Qi, Lingyu Wang, Jing Guo, Jin Ma, Guoniu Zhu

“…However, current topology optimization algorithms mostly target a single objective and are highly dependent on the problem definition parameters, causing two critical issues: limited human controllability and solution diversity. …”
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Multi-Scale Graph Attention Network Based on Encoding Decomposition for Electricity Consumption Prediction by Sheng Huang, Huakun Que, Lukun Zeng, Jingxu Yang, Kaihong Zheng

“…Traditional forecasting methods typically focus on sequential features of the data, which may lead to an over-smoothing issue for the fluctuations. …”
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Higher-order Krylov state complexity in random matrix quenches by Hugo A. Camargo, Yichao Fu, Viktor Jahnke, Keun-Young Kim, Kuntal Pal

“…The time evolution can be mapped onto a one-dimensional problem of a particle moving on a chain, where the average position 〈n〉 defines Krylov state complexity or spread complexity. …”
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Rainfall Organization and Storm Tracking in Urban Barcelona, NE Spain, Using a High-Resolution Rain Gauge Network by María del Carmen Casas-Castillo, Xavier Navarro, Raül Rodríguez-Solà

“…Extreme rainfall in urban areas can cause major economic damage, a problem expected to intensify with climate change. …”
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Epidemiological Analysis of Outcomes of Small Obstetric Operations by I. V. Taranenko, A. V. Lubimova

“…Summarize the available literary data and present modern views on the problem of the quality of life of women in the postpartum period after obstetric operations with natural delivery. …”
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