Music Similarity Detection Through Comparative Imagery Data by Asli Saner, Min Chen

“…With the aid of feature-based analysis and data visualization, we conducted experiments to analyze how different music features may contribute to the judgment of plagiarism. …”
Get full text

Overlapping Gene Expression and Molecular Features in High-Grade B-Cell Lymphoma by Katharina D. Faißt, Cora C. Husemann, Karsten Kleo, Monika Twardziok, Michael Hummel

“…To this end, we performed a comprehensive gene expression and mutational pattern analysis as well as the detection of B-cell clonality of 34 cases diagnosed with BL (<i>n</i> = 4), DLBCL (<i>n</i> = 16), HGBL DH (<i>n</i> = 8), and HGBL NOS (<i>n</i> = 6). …”
Get full text

A Comprehensive Review of Systemic Sclerosis: Diagnosis, Clinical Features and Management Strategies by Agnieszka Borowiec, Kinga Borowiec, Paulina Kwaśniewska, Julia Biernikiewicz, Milena Biernikiewicz, Anna Wilewska, Bartosz Pomirski, Agata Pomirska, Konstanty Alabrudziński, Miszela Kałachurska

“…Despite advances in treatment, SSc remains a challenging disease requiring ongoing vigilance for early detection and intervention. Purpose The purpose of this article is to provide a comprehensive overview of systemic sclerosis, focusing on its diagnostic criteria, clinical features and management strategies. …”
Get full text

PHENOTYPIC FEATURES OF CELLS IN URINARY SEDIMENT OF PATIENTS WITH NON-INVASIVE BLADDER CANCER by R. A. Zukov, E. V. Slepov, E. V. Semenov, L. M. Kurtasova

“…In our study we used flow cytometry to determine surface markers in urinary sediment cells of patients with bladder cancer. The analysis of the phenotypic features of urinary sediment cells showed an increase in the relative content of CD13+ cells in patients with non-invasive bladder cancer in comparison with the control group. …”
Get full text

Survey of deep fake audio generation and detection techniques by ZENG Zhiping, ZHANG Xulong, QU Xiaoyang, XIAO Chunguang, WANG Jianzong

“…Subsequently, an in-depth analysis was conducted on both acoustic feature-based and end-to-end model-based fake audio detection strategies, delving into details such as deep acoustic feature detection, pre-trained neural network feature detection, end-to-end model optimization, generalization enhancement techniques, and the enhancement of real-time detection. …”
Get full text

Using Electrocardiogram Signal Features and Heart Rate Variability to Predict Epileptic Attacks by Ying Jiang, Yuan Feng, Danni Lu, Lin Yang, Qun Zhang, Haiyan Yang, Ning Li

“…In this study, a new method for predicting epilepsy through the analysis of heart rate variability is proposed. In the proposed method, 12 features are extracted from the heart rate variability signal in time, frequency, time-frequency, and nonlinear domains to predict epileptic seizures. …”
Get full text

STATE PREDICTION OF WIND TURBINE GENERATOR BASED ON K-CNN AND N-GRU (MT) by CHAI Tong, YUAN YiPing, MA JunYan, FAN PanPan

Get full text

The association of cycle threshold value with clinical features in patients infected with Omicron variant by Wen Yang, Tao Tao, Jianping Zhang, Yuting Yao, Min Chen, Mingming Liu, Meiying Wu, Wei Lei

Get full text

THE METHOD OF ADAPTIVE STATISTICAL CODING TAKING INTO ACCOUNT THE STRUCTURAL FEATURES OF VIDEO IMAGES by Volodymyr Barannik, Dmytro Havrylov, Serhii Pantas, Yurii Tsimura, Tatayna Belikova, Rimma Viedienieva, Vasyl Kryshtal

“…The technology is based on the detection of key information at several stages of video data processing. …”
Get full text

Features of the development and clinical course of pneumothorax in patients with a new coronavirus infection by K. V. Medvedev, K. E. Borta, M. A. Protchenkov, E. I. Valyukh

“…Analysis of case histories showed that severe COVID-19 occurs in all age groups. …”
Get full text

Features of expression of immunohistochemical markers in local and generalized clear cell kidney cancer by E. M. Frantsiyants, A. N. Shevchenko, E. A. Dzhenkova, N. S. Karnaukhov, T. A. Gudtskova, A. A. Breus, E. V. Filatova, D. A. Shvyrev

Get full text

Features of B cell subsets in primary Sjogren’s syndrome and systemic lupus erythematosus by S. S. Benevolenskaya, I. V. Kudriavtsev, M. K. Serebriakova, I. N. Grigor’yeva, E. S. Kuvardin, A. I. Budkova, S. V. Koniakhin, D. B. Zammoeva, D. B. Motorin, A. Yu. Zaritskey, I. Z. Gaydukova, E. K. Gaydukova, S. V. Lapin, A. L. Maslyanskiy

“…Statistical analysis was carried out using Statistica v. 12.0 (StatSoft Inc., USA). …”
Get full text

Mitochondrial genome of Lonicera macranthoides: features, RNA editing, and insights into male sterility by Zhong Chen, Wei Zhuo, Yuqi Wang, Junpeng Qi, Li Liu, Sheng’E. Lu, Han Wang, Tao Sun, Liqiang Wang, Fengming Ren, Fengming Ren

Get full text

A spike is a spike: On the universality of spike features in four epilepsy models by Armen Sargsyan, Pablo M. Casillas‐Espinosa, Dmitri Melkonian, Terence J. O'Brien, Gilles vanLuijtelaar

Get full text

Morphological and immunofenotypic features of the monoclonal population of B-lymphocytes in chronic lymphocytic leukemia by N. K. Guskova, O. N. Selyutina, I. A. Novikova, A. Yu. Maksimov, A. S. Nozdricheva, S. V. Abakumova

“…B-cell clonality established by detection of restriction of light chains of surface immunoglobulins kappa or lambda. …”
Get full text

Morphological and immunohistochemical analysis in encapsulated follicular variant papillary thyroid carcinoma, invasive follicular variant papillary thyroid carcinoma and a new ent... by Zeliha Çelik, Naile Kökbudak, Fahriye Kilinç, Pembe Oltulu

Get full text

Encrypted malicious traffic detection based on neural network by Xia Longfei, Zhang Qihao, Wu Xianyun, Zhu Xuetian, Gu Xin, Tian Min

“…With the widespread application of encrypted communications, traditional malicious traffic detection methods based on content analysis have gradually become ineffective. …”
Get full text

Image recoloring detection based on inter-channel correlation by Nuo CHEN, Shuren QI, Yushu ZHANG, Mingfu XUE, Zhongyun HUA

“…Image recoloring is an emerging editing technique that can change the color style of an image by modifying pixel values.With the rapid proliferation of social networks and image editing techniques, recolored images have seriously hampered the authenticity of the communicated information.However, there are few works specifically designed for image recoloring.Existing recoloring detection methods still have much improvement space in conventional recoloring scenarios and are ineffective in dealing with hand-crafted recolored images.For this purpose, a recolored image detection method based on inter-channel correlation was proposed for conventional recoloring and hand-crafted recoloring scenarios.Based on the phenomenon that there were significant disparities between camera imaging and recolored image generation methods, the hypothesis that recoloring operations might destroy the inter-channel correlation of natural images was proposed.The numerical analysis demonstrated that the inter-channel correlation disparities can be used as an important discriminative metric to distinguish between recolored images and natural images.Based on such new prior knowledge, the proposed method obtained the inter-channel correlation feature set of the image.The feature set was extracted from the channel co-occurrence matrix of the first-order differential residuals of the differential image.In addition, three detection scenarios were assumed based on practical situations, including scenarios with matching and mismatching between training-testing data, and scenario with hand-crafted recoloring.Experimental results show that the proposed method can accurately identify recolored images and outperforms existing methods in all three hypothetical scenarios, achieving state-of-the-art detection accuracy.In addition, the proposed method is less dependent on the amount of training data and can achieve fairly accurate prediction results with limited training data.…”
Get full text

Immunopathogenetic features of the functioning of congenital immunity in children with dental and disabling somatic pathology by M. A. Havrylenko, Т. Ye. Shumna

Get full text

MiRNA target enrichment analysis of co-expression network modules reveals important miRNAs and their roles in breast cancer progression by Bazyari Mohammad Javad, Aghaee-Bakhtiari Seyed Hamid

Get full text