Modern data on the biology of Human Herpesvirus 6 and pathogenesis of Human Herpesvirus 6-associated clinical conditions (review of scientific publications) by P. A. Drozdovskaya, V. A. Zinserling

“…They determine difficulties of laboratory diagnostics of the infection and create problems in choosing treatment tactics.…”
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A radon transform-based method for line spectrum enhancement of vector hydrophone LOFAR spectrograms under low SNR conditions by Jun Wang, Caixia Song, Zhiguo Qi

“…By exploiting this property, the problem of line spectrum enhancement is transformed into one of linear feature enhancement within the LOFAR spectrogram. …”
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Myocarditis in Hypertrophic Cardiomyopathy: Incidence and Contribution to Disease Progression and Outcome by Yulia Lutokhina, Nasiba Seifatova, Polina Chernova, Natalia Kireeva, Roman Komarov, Marina Vukolova, Sergey Pirozhkov, Ekaterina Yantikova, Nargiza Babakulova, Boris Tlisov, Andrey Dzyundzya, Beatrice Volel

“…Hypertrophic cardiomyopathy (HCM) is the most common cardiomyopathy; however, few studies have examined the combination of myocarditis and HCM, thereby highlighting the importance of this problem. This article aimed to analyze the influence of myocarditis on clinical features and outcomes in patients with HCM. …”
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Semantic classification of Indonesian consumer health questions by Raniah Nur Hanami, Rahmad Mahendra, Alfan Farizki Wicaksono

“…This framework facilitates a deeper understanding of the role played by word-based features in the model’s decision-making process. Additionally, it empowers us to conduct a comprehensive bias analysis, allowing for the detection of “semantic bias”, where words with no inherent association with a specific semantic type disproportionately influence the model’s predictions. …”
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Digital fundus image quality assessment by V. V. Starovoitov, Y. I. Golub, M. M. Lukashevich

“…On these images one can see features, which determine the presence of DR and its grade. …”
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A Prenatal Presentation of CDK13-Related Disorder with a Novel Pathogenic Variant by Michael Gibbs, Alysa Poulin, Yanwei Xi, Bita Hashemi

“…CDK13-related disorder is a newly described genetic condition with characteristic clinical features including mild to severe intellectual disability, developmental delay, neonatal hypotonia, a variety of facial dysmorphism, behavioral problems, congenital heart defects, and structural brain abnormalities. …”
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Advancing smart communities with a deep learning framework for sustainable resource management. by Yongyan Zhao

“…The framework leverages long short-term memory (LSTM) networks for temporal data, convolutional neural networks (CNNs) for spatial analysis, and autoencoders for anomaly detection. The system focuses on two main objectives, which include better forecasting precision, optimum resource distribution, and efficient detection of operational problems.…”
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Random Oversampling-Based Diabetes Classification via Machine Learning Algorithms by G. R. Ashisha, X. Anitha Mary, E. Grace Mary Kanaga, J. Andrew, R. Jennifer Eunice

“…The proposed model consists of the random oversampling method to balance the range of classes, the interquartile range technique-based outlier detection to eliminate outlier data, and the Boruta algorithm for selecting the optimal features from the datasets. …”
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An Efficient and Fast Model Reduced Kernel KNN for Human Activity Recognition by Zongying Liu, Shaoxi Li, Jiangling Hao, Jingfeng Hu, Mingyang Pan

“…Firstly, kernel method is employed in model KNN, which transforms the input features to be the high-dimensional features. The proposed model KNN with kernel (K-KNN) improves the accuracy of classification. …”
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ENDNet: Extra-Node Decision Network for Subgraph Matching by Masaki Shirotani, Motoki Amagasaki, Masato Kiyama

“…Specifically, GNNs generate new node features by aggregating information from adjacent nodes, meaning that even if nodes in the query and data graphs start with identical features, the presence of extraneous nodes or edges in the data graph can distort feature representations and hinder accurate matching. …”
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THE MOTIVE OF CATASTROPHISM IN THE DYSTOPIAN GENRE POETICS: KAZUO ISHIGURO AND YAROSLAV MELNIK by Olena A. Andreichykova

“…Kazuo Ishiguro’s novel “Never Let me Go” demonstrates a powerful example of genre synthesis: “stream of consciousness” coexists with the classic English estate novel, which is emphasized by confessional and allegorical intonations and does not prevent the writer from resorting to some possibilities of a detective story. Features of the traditional parable form and mythological genre are also observed. …”
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Integration of Multivariate Beta-based Hidden Markov Models and Support Vector Machines with Medical Applications by Narges Manouchehri, Nizar Bouguila

“…Moreover, in some applications, data may have various feature-length. We tackle this problem with Fisher Kernel. …”
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Resting state EEG classifies developmental status in three-year-old children by Dhanya Parameshwaran, Supriya Bhavnani, Debarati Mukherjee, Kamal Kant Sharma, Jennifer Jane Newson, Narayan Puthanmadam Subramaniyam, Gauri Divan, Vikram Patel, Tara C. Thiagarajan

“…Monitoring cognitive development in early childhood enables detection of problems for timely intervention. However, currently recommended methods require lengthy evaluations of task performance, and are resource intense. …”
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IMM4HT:an identification method of malicious mirror website for high-speed network traffic by Lei ZHANG, Peng ZHANG, Wei SUN, Xingdong YANG, Lichao XING

“…Aiming at the problem that some information causing harm to the network environment was transmitted through the mirror website so as to bypass the detection,an identification method of malicious mirror website for high-speed network traffic was proposed.At first,fragmented data from the traffic was extracted,and the source code of the webpage was restored.Next,a standardized processing module was utilized to improve the accuracy.Additionally,the source code of the webpage was divided into blocks,and the hash value of each block was calculated by the simhash algorithm.Therefore,the simhash value of the webpage source codes was obtained,and the similarity between the webpage source codes was calculated by the Hamming distance.The page snapshot was then taken and SIFT feature points were extracted.The perceptual hash value was obtained by clustering analysis and mapping processing.Finally,the similarity of webpages was calculated by the perceptual hash values.Experiments under real traffic show that the accuracy of the method is 93.42%,the recall rate is 90.20%,the F value is 0.92,and the processing delay is 20 μs.Through the proposed method,malicious mirror website can be effectively detected in the high-speed network traffic environment.…”
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Proteomic selection of immunodiagnostic antigens for Trypanosoma congolense. by Jennifer R Fleming, Lalitha Sastry, Thomas W M Crozier, Grant B Napier, Lauren Sullivan, Michael A J Ferguson

“…Animal African Trypanosomosis (AAT) presents a severe problem for agricultural development in sub-Saharan Africa. …”
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NEW TYPE OF ELASTIC ROTATIONAL WAVES IN GEO-MEDIUM AND VORTEX GEODYNAMICS by Alexander V. Vikulin

“…Helmgolz, Lord Kelvin and others within the framework of classical physics and in the first half of the 20th century by scientists in quantum physics and cosmogony, both «quantum structure» («lumpiness») and rotation («vorticity») are integral features of matter – space – time throughout the whole range from elementary particles to galaxies and galactic clusters.Nowadays researchers in natural sciences, particularly in the Earth sciences, call attention again to the problem of structure of matter and its movements. …”
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Classification of offshore wind grid-connected power quality disturbances based on fast S-transform and CPO-optimized convolutional neural network. by Minan Tang, Hongjie Wang, Jiandong Qiu, Zhanglong Tao, Tong Yang

“…The large-scale integration of offshore wind power into the power grid has brought serious challenges to the power system power quality. Aiming at the problem of power quality disturbance detection and classification, this paper proposes a novel algorithm based on fast S-transform and crested porcupine optimizer (CPO) optimized CNN. …”
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Multiscale Hjorth Descriptor on Epileptic EEG Classification by Achmad Rizal, Sugondo Hadiyoso, Suci Aulia, Inung Wijayanto, null Triwiyanto, Ziani Said

“…Since the characteristics of EEG signals are nonlinear and nonstationary, visual inspection becomes very difficult. To overcome this problem, digital EEG signal processing was developed. …”
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Building clustering method that integrates graph attention networks and spectral clustering by Guoqing Chen, Haizhong Qian

“…Clustering is an unsupervised learning method; however, it cannot be directly applied to complex building features to reveal the deep-level intrinsic relationships between buildings and assimilate the cartographic experience of experts. …”
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Framing Social Movements on Social Media by Julia Mendelsohn, Maya Vijan, Dallas Card, Ceren Budak

“…Focusing on Twitter messages from social movements surrounding three issues in 2018-2019 (guns, immigration, and LGBTQ rights), we create a codebook, annotated dataset, and computational models to detect diagnostic (problem identification and attribution), prognostic (proposed solutions and tactics), and motivational (calls to action) framing strategies. …”
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