APPLIED ASPECTS OF MODERN ANTI-CRISIS FINANCIAL MANAGEMENT by Zoia S. Pestovska, Кateryna S. Romanova, Olesya S. Rosenberg

“…Measures on anti-crisis financial management are considered on the example of two companies, the common feature of which is that a comprehensive financial analysis of each of them showed very contradictory results. …”
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General manifestation of tick-borne infections in the Amur region of Russia during 2014-2023 by Mrs Ekaterina Burdinskaya, Mrs Yulia Natykan, Mrs Olga Kurganova, Mrs Natalia Pshenichnaya, Mrs Anna Dragomeretskaya, Mrs Olga Trotsenko, Ms Vadim Melnik

“…Aim: analyze several features of epidemiological manifestations of tick-borne infections in the Amur region. …”
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Identification of Diagnostic Biomarkers for Colorectal Polyps Based on Noninvasive Urinary Metabolite Screening and Construction of a Nomogram by Yang Xie, Yiyi Jin, Zide Liu, Jun Li, Qing Tao, Yonghui Wu, Youxiang Chen, Chunyan Zeng

“…Metabolite screening was performed using weighted gene coexpression network analysis (WGCNA), least absolute shrinkage and selection operator (LASSO), and support vector machine‐recursive feature elimination (SVM‐RFE). …”
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Hierarchical attention transformer provides assistant suggestions for orbital rejuvenation surgery by Xiang Lian, Xiang Lian, Xiang Lian, Xin Hu, Guannan Li, Siqi Wu, Yihao Liu, Ke Qin, Kai Liu, Kai Liu, Kai Liu

“…Ablation studies demonstrated the critical role of the hierarchical attention mechanism in distinguishing subtle foreground-background differences, improving the model’s performance in smartphone-based image analysis.ConclusionThe HATrans model represents a significant advancement in multi-label classification for facial aesthetics, offering a practical solution for early periocular aging detection at home. …”
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Enhancing neurological disease diagnostics: fusion of deep transfer learning with optimization algorithm for acute brain stroke prediction using facial images by Fadwa Alrowais, Mohammed Alqahtani, Jahangir Khan, Achraf Ben Miled, Da’ad Albalawneh, Abdulwhab Alkharashi, Samah Al Zanin, Radwa Marzouk

“…Even though computed tomography (CT) and magnetic resonance imaging (MRI) are standard diagnosis techniques, artificial intelligence (AI) systems have been constructed based on these methods, which deliver fast detection. AI is gaining high attention and is being combined into numerous areas with medicine to enhance the accuracy of analysis and the quality of patient care. …”
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Deep Multi-Modal Skin-Imaging-Based Information-Switching Network for Skin Lesion Recognition by Yingzhe Yu, Huiqiong Jia, Li Zhang, Suling Xu, Xiaoxia Zhu, Jiucun Wang, Fangfang Wang, Lianyi Han, Haoqiang Jiang, Qiongyan Zhou, Chao Xin

“…The diagnostic potential of recent multi-modal skin lesion detection algorithms is limited because they ignore dynamic interactions and information sharing across modalities at various feature scales. …”
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Intelligent Identification of Tea Plant Seedlings Under High-Temperature Conditions via YOLOv11-MEIP Model Based on Chlorophyll Fluorescence Imaging by Chun Wang, Zejun Wang, Lijiao Chen, Weihao Liu, Xinghua Wang, Zhiyong Cao, Jinyan Zhao, Man Zou, Hongxu Li, Wenxia Yuan, Baijuan Wang

“…Second, to achieve efficient feature upsampling, enhance the efficiency and accuracy of feature extraction, and reduce computational redundancy and memory access volume, the EUCB (Efficient Up Convolution Block), iRMB (Inverted Residual Mobile Block), and PConv (Partial Convolution) modules were introduced into the YOLOv11 model. …”
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Development and validation of a nomogram to predict the risk of post-stroke complex regional pain syndrome by Qian Xie, Qing Song, Jianling Deng, Xuanling Cheng, Aiguo Xue, Shuxiong Luo

“…Among these, there were 90 patients with post-stroke CRPS, while the non-stroke CRPS group consisted of 286 patients. Feature selection and optimization to generate the predictive model and nomogram were performed using LASSO regression and multivariable logistic regression analysis. …”
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Spatial Identification and Distribution Pattern of the Complexity of Rural Poverty in China Using Multisource Spatial Data by Zhenyu Qi, Jinghu Pan, Yaya Feng

“…Regions that are relatively prosperous and have taken the lead in poverty reduction should play a leading and exemplary role in strengthening the radiation power of regional central cities. The prominent feature of this study is the comprehensive utilization of multisource data and the use of new spatial analysis methods (flexible spatial scanning method is widely used in the field of infectious disease prevention and control research). …”
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A Fault Diagnosis Method for Oil Well Electrical Power Diagrams Based on Multidimensional Clustering Performance Evaluation by Xingyu Liu, Xin Meng, Ze Hu, Hancong Duan, Min Wang, Yaping Chen

“…To overcome these shortcomings, this paper proposes a novel fault detection method based on the analysis of motor power parameters. …”
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Intelligent Photolithography Corrections Using Dimensionality Reductions by Parag Parashar, Chandni Akbar, Tejender S. Rawat, Sparsh Pratik, Rajat Butola, Shih H. Chen, Yung-Sung Chang, Sirapop Nuannimnoi, Albert S. Lin

“…Additionally, we demonstrate the automation in SEM images preprocessing using feature detection, and this facilitates intelligent manufacturing in semiconductor processing. …”
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Characteristics of interleukin-4 gene (C-589T, rs2243250) polymorphism in children with bronchial asthma and allergic rhinitis with isolated or allergic rhinitis-induced comorbid m... by Т. Ye. Shumna, O. S. Fedosieieva, Т. P. Zinchenko, S. M. Nedelska, O. V. Voznyi, O. M. Kamyshnyi

“…The general, recessive and dominant models of inheritance and the odds ratios with a 95 % confidence interval were used for the analysis. The results analysis was conducted using the Statistica 6.0RU licensed software package. …”
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Early prediction of colorectal adenoma risk: leveraging large-language model for clinical electronic medical record data by Xiaoyu Yang, Jinjian Xu, Hong Ji, Jun Li, Bingqing Yang, Liye Wang

“…The proposed model demonstrates high predictive accuracy and has the potential to enhance early detection, making it well-suited for large-scale screening programs. …”
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Identification of Abnormal Electricity Consumption Behavior of Low-Voltage Users in New Power Systems Based on a Combined Method by Jiaolong Gou, Xudong Niu, Xi Chen, Shuxin Dong, Jing Xin

“…In order to effectively meet this challenge, it is of great practical significance to carry out monitoring and analysis of abnormal power consumption of low-voltage users. …”
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Machine Learning Enhanced Multimodal Bioelectronics: Advancement Toward Intelligent Healthcare Systems by Myoungjae Oh, Enji Kim, Jakyoung Lee, Inhea Jeong, Eunmin Kim, Joonho Paek, Taekyeong Lee, Dayeon Kim, Seung Hyun An, Sumin Kim, Jung Ah Lim, Jang‐Ung Park

“…Machine learning has emerged as an essential tool for data interpretation and real‐time decision‐making through addressing challenges in broad data integration, feature extraction, and predictive modeling. Implementation of machine learning to multimodal devices extend their capabilities beyond conventional biosensors, performing crossmodal correlation analysis, real‐time anomaly detection, and situation‐dependent feedback. …”
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Bridge Deformation Monitoring Combining 3D Laser Scanning with Multi-Scale Algorithms by Dongmei Tan, Wenjie Li, Yu Tao, Baifeng Ji

“…This approach employs the M3C2 algorithm for qualitative full-field deformation detection and utilizes least-squares plane fitting for quantitative feature extraction. …”
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Multispectral Imaging Method in Laparoscopy by Xin Yang

“…In this paper, we propose an image composition method based on visible and fluorescence images, which facilitates their analysis by physicians. A distinctive feature of the method is the use of CIEDE 2000 metric for image fusion, which takes the properties of human vision into account.Aim. …”
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CAEB7-UNet: An Attention-Based Deep Learning Framework for Automated Segmentation of C-Spine Vertebrae in CT Images by Abhishek Kumar Pandey, Kedarnath Senapati, G. P. Pateel

“…In this work, an improved EfficientNetB7 is employed as the encoder for feature extraction, the fusion of local and global features is enhanced through the upgraded CAM in skip connection, and the up-sampling is performed in the decoder. …”
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Dairy DigiD: a keypoint-based deep learning system for classifying dairy cattle by physiological and reproductive status by Shubhangi Mahato, Hanqing Bi, Suresh Neethirajan, Suresh Neethirajan

“…The system combines two complementary approaches: a DenseNet121 model for full-image classification, offering global visual context, and Detectron2 for fine-grained facial analysis. Dairy DigiD leverages Detectron2’s multi-task architecture, using instance segmentation and keypoint detection across 30 anatomical landmarks (eyes, ears, muzzle) to refine facial localization and improve classification robustness. …”
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Optimizing integration techniques for UAS and satellite image data in precision agriculture — a review by Aliasghar Bazrafkan, C. Igathinathane, Nonoy Bandillo, Paulo Flores

“…This review explores the significance of integrating high-resolution UAS and satellite imagery via pixel-based, feature-based, and decision-based fusion methods. …”
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