Features of transfusion therapy in patients undergoing hematopoietic stem cell transplantation. Review of the literature by D. N. Balashov, P. E. Trakhtman

“…A major problem after HSCT is a secondary immunodeficiency, which is important to consider for ensuring prevention of transfusion-transmitted infections (eg, CMV), as well as to carry out activities aimed for the prevention of transfusion- associated graft-versus-host disease. …”
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Adaptive weights learning in CNN feature fusion for crime scene investigation image classification by Liu Ying, Zhang Qian Nan, Wang Fu Ping, Chiew Tuan Kiang, Lim Keng Pang, Zhang Heng Chang, Chao Lu, Lu Guo Jun, Ling Nam

“…To solve this problem, this paper proposes an adaptive feature fusion method based on an auto-encoder to improve classification accuracy. …”
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Magnetic Flux Density Feature Analysis and CT Saturation Region Recognition and Reconstruction Technology by Feng WANG, Jia ZHU, Shaolin JIAO, Yiquan LI, Hua XIE, Qingchun ZHAO

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SPECIAL FEATURES OF THE TECHNOGENIC BOTTOM SEDIMENTS IMPACT ON THE WATER BODIES MERCURY POLLUTION CHARACTER by Andrey V. Bogomolov, Vladimir Yu. Filatov, Maksim S. Dyakov, Elena M. Khodyasheva, Michael B. Khodyashev

WEAK FAULT FEATURE EXTRACTION OF ROLLING BEARING BASED ON PARAMETER OPTIMIZED MOMEDA AND CEEMDAN by HAN XueFei, SHI Zhan, HUA YunSong

“…Aiming at the problem that the fault feature information of rolling bearing is weak under the strong background noise environment,and the single use of the complete ensemble empirical mode decomposition with adaptive noise（ CEEMDAN）method is not effective in extracting the fault feature,a method based on parameter optimized multi-point optimal minimum entropy deconvolution adjusted（ POMOMEDA） and CEEMDAN was proposed. …”
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Color Visualization of the Artistic Image as a Feature of G. R. Derzhavin’s Creative Method by K. A. Potashova

“…The relevance of the problem is associated with the need to clarify the features of the creative method of G. …”
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Vibration Characteristic Analysis and Feature Extraction of Bearing Coupling Fault based on Sparse Representation by Xiaoyun Gong, Weiye Zhang, Yongjie Jing, Wenliao Du

“…The results show that bearing faults are usually submerged under coupled faults， and it exhibits weak fault characteristics compared to unbalanced faults. Aiming at the problem that the bearing fault feature is difficult to extract in the rotor unbalance bearing coupling fault， using the sparse representation method based on Gabor atom to match the periodic vibration component in the rotor unbalance bearing coupled fault vibration signal， and the spectral kurtosis algorithm is used to find the frequency band where the impact signal is located for bearing fault feature extraction. …”
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Fault Diagnosis of Spindle Device in Hoist Using Variational Mode Decomposition and Statistical Features by Jun Gu, Yuxing Peng, Hao Lu, Shuang Cao, Bobo Cao

“…By analyzing nonlinear and nonstationary vibration signals from the spindle device of the mine hoist, it is a challenge to overcome the difficulty of fault feature extraction and accurately identify the fault of rotor-bearing system. …”
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Feature Consistency-Based Style Transfer for Landscape Images Using Dual-Channel Attention by Qiang Zhang, Shuai Wang, Dong Cui

“…To solve this problem, we propose a feature-consistent landscape image style transfer model based on two-channel attention. …”
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Institutional changes and features of implementation of institutions in the institutional environment Authors Yu.V. Ushchapovskyi by Yu.V.

“…The paper substantiates the main components and features of the implementation of an effective strategy for the implementation of institutions and the decisive role in this process of culture, which establishes the institutional forms of all social action on the basis of values formed in society.…”
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Automatic detection of fake reviews at marketplaces using expert-based features and consumers’ reactions by A. N. Borodulina, E. V. Mikhalkova

“…The article presents the results of a practical study of the features of fake reviews that are described by marketers and other experts. …”
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An efficient non-parametric feature calibration method for few-shot plant disease classification by Jiqing Li, Zhendong Yin, Dasen Li, Hongjun Zhang, Mingdong Xu

“…Few-shot learning has emerged as an effective solution to this problem. This paper proposes a method based on the Feature Adaptation Score (FAS) metric, which calculates the FAS for each feature layer in the Swin-TransformerV2 structure. …”
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Image Retrieval Using Low Level and Local Features Contents: A Comprehensive Review by Jaya H. Dewan, Sudeep D. Thepade

“…The query image feature vector is compared with the dataset images feature vectors to retrieve similar images. …”
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Features of Creativity and Conceptual Thinking of Students Studying in the Direction of "Software Engineering "(Engineers-Kognitologs) by Ivakhnenko O.N., Smolyaninova V.A.

“…The necessity to study the features of the creativity of students of cognitive engineers for their future professional activities in the modern world determines the problem of research. …”
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An efficient leukemia prediction method using machine learning and deep learning with selected features. by Mahwish Ilyas, Muhammad Ramzan, Mohamed Deriche, Khalid Mahmood, Anam Naz

“…Leukemia is a serious problem affecting both children and adults, leading to death if left untreated. …”
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A New Heavy-Duty Bearing Degradation Evaluation Method with Multi-Domain Features by Ruolan Xiong, Aihua Liu, Dongfang Xu, Chunyang Qu, Yulong Wu

“…Under heavy load conditions, bearings are subjected to non-uniform and frequently changing loads, which leads to randomness in the spatial distribution of bearing degradation characteristics. Aiming at the problem that the traditional degradation index cannot accurately reflect the degradation state of heavy-duty bearings in the whole life cycle, a new degradation evaluation method based on multi-domain features is proposed in this paper, which aims to capture the early degradation point of heavy-duty bearings and characterize their degradation trend. …”
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Designing A Spice Storage Area With Additional Compartment Features to Support The Needs of Housewives by Adzdzaniyah Brenda Kurnia, Dandi Yunidar, Sheila Andita Putri

“…The design of spice storage is designed with additional features as needed such as sachet holders and bottle holders. …”
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Enhanced Driver Posture Feature Extraction Method Based on the Spatial Prior Probabilistic Model by WANG Han; SUN Yu; YIN Jie

“…Aiming at the problem of driving posture recognition difference, a enhanced driver′ s posture feature extraction based on the skin-color histogram of spatial prior probabilistic model is proposed. …”
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Automatic Annotation of Map Point Features Based on Deep Learning ResNet Models by Yaolin Zhang, Zhiwen Qin, Jingsong Ma, Qian Zhang, Xiaolong Wang

“…Point feature cartographic label placement is a key problem in the automatic configuration of map labeling. …”
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Domain‐independent adaptive histogram‐based features for pomegranate fruit and leaf diseases classification by Mohanmuralidhar Prajwala, Prabhuswamy Prajwal Kumar, Shanubhog Maheshwarappa Gopinath, Shivakumara Palaiahnakote, Mahadevappa Basavanna, Daniel P. Lopresti

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