Clinical and Molecular Features of Patients With Congenital Disorders of Glycosylation in Japan by Nobuhiko Okamoto, Machiko Kadoya, Yoshinao Wada

Get full text

Internet addiction and network identity: features of development in student youth by Ol'ga Besschetnova, Elena Tsyglakova, Alexey Vikulov

“… The purpose of the study is to detect the level of Internet addiction in student youth, identify the features of network identity formation, and substantiate the relationship between personality traits and addictive behavior. …”
Get full text

Subclinical features of atherosclerotic remodeling of arteries in patients with rheumatoid arthritis by I. M. Fushtei, O. V. Tkachenko, S. L. Podsevakhina, O. I. Palamarchuk

Get full text

Feature Set to sEMG Classification Obtained With Fisher Score by Diana C. Toledo-Perez, Marcos Aviles, Roberto A. Gomez-Loenzo, Juvenal Rodriguez-Resendiz

“…The central purpose of this research is to develop and validate a methodology that uses the Fisher Score to select a set of features in the classification of sEMG signals. This selected set is descriptive enough to achieve high levels of accuracy in detecting EMG signal patterns across multiple subjects. …”
Get full text

Features of a new Coronavirus infection in children of different ages by M. A. Shakmaeva, T. M. Chernova, V. N. Timchenko, T. A. Nachinkina, K. V. Tetyushin, T. A. Kaplina, M. D. Subbotina, O. V. Bulina, O. I. Afanasyeva

“…According to available statistics, complications are less common among children, asymptomatic or mild forms of the disease prevail more often.This article presents the features of the viral landscape of the upper respiratory tract in children with ARVI in a pandemic, the clinical and laboratory features of the course of COVID-1 9 in children of different ages.It was found that SARS-CoV-2 is detected only in a third (32.9%) of hospitalized patients with respiratory symptoms, in 4.3% of cases — in combination with seasonal CoV-OC43 / CoV-229E, in 1 1.6% — with other respiratory viruses. …”
Get full text

Clinical features of patients with multiple myeloma complicated with renal impairment by SHAO Wen, ZHOU Xiao-shuang

“…In the meanwhile of application of the traditional test indices, concern about β₂-MG, LDH and blood calcium may help detect early renal impairment.…”
Get full text

The Specific Features of the Pathogenesis and Correction of Critical Conditions in Obstetric Care by Yu. S. Podolsky

Get full text

Systemic Amyloidosis with Cardiac Involvement: Features of Course and Diagnostic Difficulties by E. V. Voloshinova, I. Yu. Khorkina, A. M. Dzuban, E. V. Yakovleva

Get full text

Features of women’s reproductive dysfunctions associated with prolonged stressful situations by O. H. Horbatiuk, A. S. Shatkovska, A. P. Hryhorenko, O. V. Vaskiv, I. O. Bets, I. M. Kustovska, A. I. Petrash

Get full text

Enhancing Online Fraud Detection: Leveraging Machine Learning and Behavioral Indicators for Improved Accuracy and Real-Time Detection by Shaha Prasad, Gavekar Vidya

“…A comparative analysis of traditional and advanced ML models, including Logistic Regression, Decision Tree, Random Forest, Support Vector Machine (SVM), Artificial Neural Networks (ANN), and LightGBM, was conducted using real-world fraud detection datasets. …”
Get full text

Features of the clinical course and prognosis of tongue cancer in young women by M. A. Kropotov, L. P. Yakovleva, D.  A. Safarov, O. A. Saprina, D. A. Peshko, A.  V. Khodos

Get full text

Clinical features and rare complications in 132 patients with hepatic glycogenosis by Deniz Kor, Fatma Derya Bulut, Burcu Köşeci, Esra Kara, Ezgi Burgaç, İrem Kaplan, Nazmiye Tüzel Gündüz, Halise Neslihan Önenli Mungan

“…Non-hepatic malignancy was detected in three patients with GSD type III. The twin rate was 6.1%. …”
Get full text

Gender and age features of dyslipidemia in the population of the Nizhny Novgorod region by N. Yu. Borovkova, V. K. Kurashin, A. S. Tokareva, T. E. Bakka, N. K. Pershina, E. S. Timoshchenko, A. A. Nekrasov, E. A. Ovchinnikova, N. N. Savickaya, M. A. Mironov, Yu. A. Balanova, A. E. Imaeva, A. V. Kontsevaya

Get full text

Features of Diagnostics and Course of Hypertrophic Cardiomyopathy in Real Clinical Practice by E. V. Reznik, T. L. Nguyen, M. S. Dikaeva, I. O. Sirenova, A. V. Salikov, O. V. Gavrylova, E. N. Platonova, G. N. Golukhov

“…The aim of our work was to analyze the features of the diagnosis and course of HCM in real clinical practice. …”
Get full text

THE FEATURES OF SURGICAL TREATMENT AND MORPHOLOGICAL ASPECTS OF EPULIS AND PAPILLOMA IN CHILDREN by P.I. Tkachenko, I.I. Starchenko, S.O. Bilokon, N.M. Lokhmatova, O.B. Dolenko, N.M. Korotych, Yu.V. Popelo, N.P. Bilokon

“… The paper presents the findings of the study on the features of surgical treatment and morphological structure of epulis and papillomas in children. …”
Get full text

Clinicopathological features and outcome in elderly patients with idiopathic membranous nephropathy by Jinxiu Liang, Wenke Hao, Fangxiao Xia, Zhi Zhao, Yanhua Wu, Feng Yu, Wenxue Hu, Xiaowu Fang, Wei Liu

Get full text

Intrusion Detection System for Internet of Medical Things Using GRU with Attention Mechanism based Hybrid Deep Learning Technique by Naveen Saran, Nishtha Kesswani

Get full text

IT Parkinson’s Disease Diagnostics Based on the Freezing of Gait Analysis Using Long Short Term Memory Neural Network by U. A. Vishniakou, Xia YiWei

“…An analysis of methods for processing data from gait deceleration sensors for detecting Parkinson’s disease and a description of the development of a Parkinson’s recognition system based on neural networks with long short term memory (LSTM) are performed. …”
Get full text

Relationship Between YWHAQ Expression and Clinicopathological Features and Prognosis of Patients with Gastric Adenocarcinoma by Xueqing LIU, Libo YANG, Linhai LI, Ping SHENG, Sicheng LIU, Lihua LI

“…Immunohistochemistry was used to detect the protein expression of YWHAQ in gastric adenocarcinoma tissues. …”
Get full text

A comparative analysis of binary and multi-class classification machine learning algorithms to detect current frailty status using the English longitudinal study of ageing (ELSA) by Charmayne Mary Lee Hughes, Yan Zhang, Ali Pourhossein, Terezia Jurasova

Get full text