Modern approach to automation of internal control of quality and safety of medical care by S. Y. Morozov, M. A. Morozova, L. E. Morozova

“…The list of the main issues associated with the introduction of an automated system for organizing internal control of quality and safety of medical care via multi-user intranet web portals includes: training heads of structural units responsible for organizing and carrying out the internal control of quality and safety of medical care; developing checklists using the pre-approved criteria, rules and requirements for providing medical care in accordance with standards and clinical recommendations; and developing an activity plan for organizing various checks (audits) and compiling analytical (statistical) reports to assess the activities of the Moscow healthcare organizations’ structural units (or employees). The checklists must feature codes of MES (medical and economic standards), ICD-10 (10th revision of the International Statistical Classification of Diseases and Related Health Problems) and medical services, as well expert criteria mentioned in acting legal documents. …”
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Intelligent Diagnosis of Subway Traction Motor Bearing Fault Based on Improved Stacked Denoising Autoencoder by Yanwei Xu, Chen Li, Tancheng Xie

“…Aiming at the problem that the complex working conditions affect the effect of manual feature extraction in bearing fault diagnosis of metro traction motor, a fault diagnosis method of metro traction motor bearing based on improved stacked denoising autoencoder (SDAE) is proposed. …”
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Contemporary graphic art via Artificial Pixler Illustrator by Adnan Abdel Abbas Idan Radi

“…As for the third chapter, which consisted of the research procedures and methodology, the research community, and the reasons for choosing the samples, leading to the descriptive analysis that is compatible with the goal of the research, as for the fourth chapter, the results are presented, which are linked to the research problem, conclusions, sources, and references. One of the results of the research came, the Pixler program feature is a feature in which it is divided the image of the original model is divided into several different snapshots, up to ten slides out of one snapshot, and then it is transformed into an application proposal through which the manual printing formula is repeated within the mechanism of this artificial program …”
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A Lightweight Conditional Diffusion Segmentation Network Based on Deformable Convolution for Surface Defect Detection by Jiusheng Chen, Yibo Zhao, Haibing Wang

“…Second, the efficient feature extraction block is proposed to address the problem of modeling varying defects, which is designed with a partial deformable convolutional layer that can fully extract geometric features of the diverse defects to further enhance the modeling power of the proposed network. …”
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Conv1D-LSTM: Autonomous Breast Cancer Detection Using a One-Dimensional Convolutional Neural Network With Long Short-Term Memory by Mitanshi Rastogi, Meenu Vijarania, Neha Goel, Akshat Agrawal, Cresantus N. Biamba, Celestine Iwendi

“…Breast cancer is an increasingly serious problem in contemporary society, with millions of women and men worldwide affected by the disease. …”
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The Influence of Surface Doping on Adsorption Ability of Nanopowder Metal Oxides for Gas Sensors by Ya.V.В Bobitski, R.V.В Bovhyra, D.I.В Popovych, S.S.В Savka, A.S.В Serednytski, V.N.В Shevchuk, Yu.I.В Venhryn

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Spatial and temporal variability of snow cover in the southern forest-steppe of the Upper Ob River by N. I. Bykov, D. V. Chernykh, D. K. Pershin, R. Yu. Biryukov, L. F. Lubenets, D. V. Zolotov

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COMPLEX ASSESSMENT OF PHYSICAL DEVELOPMENT OF CHILDREN OF THE REPUBLIC OF TYVA by V. L. Gritsinskaya, N. Yu. Salchak, N. O. Sanchat, O. S. Omzar

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Radiomics for Machine Learning—A Multi-Class System for the Automatic Detection of COVID-19 and Community-Acquired Pneumonia from Computed Tomography Images by Vasileia Paschaloudi, Dimitris Fotopoulos, Ioanna Chouvarda

“…<b>Background:</b> Radiomic features have been extensively used with machine learning and other Artificial Intelligence methods in medical imaging problems. …”
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Association of accelerometer-derived sleep measures with lifetime psychiatric diagnoses: A cross-sectional study of 89,205 participants from the UK Biobank. by Michael Wainberg, Samuel E Jones, Lindsay Melhuish Beaupre, Sean L Hill, Daniel Felsky, Manuel A Rivas, Andrew S P Lim, Hanna M Ollila, Shreejoy J Tripathy

“…<h4>Background</h4>Sleep problems are both symptoms of and modifiable risk factors for many psychiatric disorders. …”
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Composite Noise Reduction Method for Internal Leakage Acoustic Emission Signal of Safety Valve Based on IWTD-IVMD Algorithm by Shuxun Li, Xiaoqi Meng, Jianjun Hou, Kang Yuan, Xiaoya Wen

“…Feature recognition after noise reduction can provide a good evaluation for the safe operation of the safety valve.…”
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Detection of Masses in Mammogram Images Based on the Enhanced RetinaNet Network With INbreast Dataset by Wang M, Liu R, Luttrell IV J, Zhang C, Xie J

“…Specifically, we introduced a novel modification to the network structure, where the feature map M5 is processed by the ReLU function prior to the original convolution kernel. …”
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Using lightweight method to detect landslide from satellite imagery by Jinchi Dai, Xiaoai Dai, Renyuan Zhang, JiaXin Ma, Wenyu Li, Heng Lu, Weile Li, Shuneng Liang, Tangrui Dai, Yunfeng Shan, Donghui Zhang, Lei Zhao

“…To address the above problems, this paper proposes an end-to-end model with high-precision and lightweight design for integrated landslide detection and segmentation. …”
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HyDA-Net: A Hybrid Dense Attention Network for Remote Sensing Multi-Image Super-Resolution by Mohamed Ramzy Ibrahim, Robert Benavente, Daniel Ponsa, Felipe Lumbreras

“…In this article, a novel hybrid dense attention network (HyDA-Net) is proposed that highlights the idea of multi-image SR to address SISR problems. HyDA-Net is a three-branch architecture that emphasizes the importance of information compensation and the correlation between multiple images of the same scene by fusing 3-D and 2-D features. …”
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Local-Descriptors-Based Rectification Network for Few-Shot Remote Sensing Scene Classification by Anyong Qin, Bin Luo, Qiang Li, Cuiming Zou, Yu Zhao, Tiecheng Song, Chenqiang Gao

“…Concurrently, these irrelevant background LDs are also causing a large distribution bias in support and query sets, which leads to the problem of inaccurate feature representation of scene images. …”
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YOLOv8n-CSE: A Model for Detecting Litchi in Nighttime Environments by Hao Cao, Gengming Zhang, Anbang Zhao, Quanchao Wang, Xiangjun Zou, Hongjun Wang

“…Specifically, we use YOLOv8n as the initial model, and introduce the CPA-Enhancer module with chain thinking prompt mechanism in the neck part of the model, so that the network can alleviate problems such as image feature degradation in the night environment. …”
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PSDA: Pyramid Spatial Deformable Aggregation for Building Segmentation in Multiview Remote Sensing Images by Xuejun Huang, Yi Wan, Yongjun Zhang, Xinyi Liu, Bin Zhang, Yameng Wang, Haoyu Guo, Yingying Pei, Zhonghua Hu

“…With the increasing availability of multiview satellite images, using multiview information is gaining attention as it can address occlusion problems in single-view images and achieve cross-validation to reduce inappropriate segmentation. …”
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Optimized DenseNet Architectures for Precise Classification of Edible and Poisonous Mushrooms by Jay Prakash Singh, Debolina Ghosh, Jagannath Singh, Anurag Bhattacharjee, Mahendra Kumar Gourisaria

“…Conclusion The study demonstrates the effectiveness of architectural modifications and regularization strategies in improving model performance. Despite problems such as possible over-reliance on pre-trained features and computational complexity, the modified DenseNet-121 is useful for accurate mushroom classification. …”
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Avaliação dos efeitos da acetilação nas propriedades das fibras de caroá Evaluation of the effects of acetylation surface treatments on ‘caroá’ fiber by Fernanda F. M. Lopes, Gilmar T. de Araújo, José W. B. do Nascimento, Robelsa F. Vasconcelos, Júlio M. E. Dantas

“…<br>Fiber plants are highly hygroscopic and this feature appears as a major problem in its applicability to production of cement composites, inducing dimensional changes under the moisture influence, deposition of the matrix products and degradation. …”
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Dynamics of the library system in Tambov region (1930s - early 1940s) by I. V. Uraeva

“…They were aimed at drawing public attention to the serious problems existed in the librarianship. However, the Library Campaign was not properly developed in Tambov region. …”
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