Generative Adversarial learning with Negative Data Augmentation for Semi-supervised Text Classification by Shahriar Shayesteh, Diana Inkpen

“…Our experimental results demonstrate that the negative augmented samples improve the overall accuracy of our proposed model and make it more confident when detecting out-of-distribution samples.…”
Get full text

Immune Embedded Linux Core System with Multiple Sensors by Tao Gong

“…This immune embedded Linux core system uses multiple sensors to detect some important information, such as the disaster features. …”
Get full text

Rotor Location During Atrial Fibrillation: A Framework Based on Data Fusion and Information Quality by Miguel A. Becerra, Diego H. Peluffo-Ordoñez, Johana Vela, Cristian Mejía, Juan P. Ugarte, Catalina Tobón

“…However, the typical noise problems of physiological signals affect the results of EGM processing tools, and consequently the ablation outcome. …”
Get full text

Multiperson Target Dynamic Tracking Method for Athlete Training Based on Wireless Body Area Network by Diandian Du

“…Aiming at the problems of large tracking error and long tracking time in traditional multiperson target dynamic tracking methods, a new method based on wireless body area network for athlete training multiperson target dynamic tracking is proposed. …”
Get full text

Navigating Ethical Dilemmas Of Generative AI In Medical Writing by Qurrat Ulain Hamdan, Waleed Umar, Mahnoor Hasan

“…The speed with which generative AI chatbots solve problems is one of the main reasons behind their remarkable success among the general public. …”
Get full text

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.…”
Get full text

Clinical-immunological parallels in chronic renal Failure in children by G. A. Makovetskaya, O. V. Borisova, L. I. Mazur, I. V. Barinov

“…The main  clinical-anamnestic features at different stages of CKD are shown. Clinical-immunological correlations  were carried out, hypoimmune state of both cellular and humoral  links of immunity was detected in CRF.…”
Get full text

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. …”
Get full text

Fault Diagnosis of Gearbox Bearings of High-speed Train Based on the SVD-MOMEDA by Dan ZHU, Yanchen SU, Chunguang YAN

“…Aiming at problems of high-speed train gearbox bearing fault signals being difficult to detect under strong noise background, and the problem that the multipoint optimal minimum entropy deconvolution adjusted(MOMEDA) method was affected by the order of filter and the period of impulse signal, an improved MOMEDA method for bearing fault diagnosis based on singular value decomposition(SVD) was proposed. …”
Get full text

A compression method of educational material for special disciplines of technical University by Konstantin P. Baslyk

“…A review of the works of other authors, in which the problem of compression of educational material has been investigated, is made in the article. …”
Get full text

<i>H. pylori</i>-negative peptic ulcer: state-of-the-art by M. A. Osadchuk, A. M. Osadchuk, A. A. Sibrjaev

“…The review presents epidemiology, etiology, pathogenesis, clinical features of H. pylorinegative peptic ulcer. Existing problems in this area and possible ways out are described in detail.…”
Get full text

Microorganisms associated with bacterial vaginosis: diversity and clinical and diagnostic significance by N. M. Voropaeva, N. L. Belkova, J. M. Nemchenko, E. V. Grigorova, I. N. Danusevich

Get full text

Smart indoor monitoring for disabled individuals using an ensemble of deep learning models in an IoT environment by Faisal S. Alsubaei, Abdulrahman A. Alshdadi, Mohammed Rizwanullah

“…Besides, the Improved Osprey Optimization Algorithm (IOOA)-based feature selection is employed to classify the most relevant features, enhancing the efficiency of the system by reducing dimensionality. …”
Get full text

Analysis of errors of the artificial horizon sensor based on vision system by A. A. Sheinikau, L. A. Ivanitski, V. A. Malkin

“…Proposed, developed on the basis of well-known applications, a variant of the algorithm for the operation of an unmanned aerial vehicle orientation video system. The problems of automatic detection and determination of the position of the horizon line on changing digital images that make up the video stream from the onboard digital camera are shown. …”
Get full text

RISK FACTORS FOR TUBERCULOSIS IN CHILDREN IN THE PRESENCE OF ABSENCE OF CONTACT WITH A TUBERCULOSIS PATIENT by E. S. Ovsyankina, N. V. Yukhimenko, I. Yu. Petrakova, Yu. Yu. Khokhlova, N. N. Borodina

“…The specific features of the influence of biomedical, epidemic, and social risk factors for tuberculosis were studied in children in relation to the presence or absence of contact with a tuberculosis patient. …”
Get full text

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. …”
Get full text

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. …”
Get full text

Technical note: Spectral correction for cavity ring-down isotope analysis of plant and soil waters by G. J. Bowen, S. Banerjee, S. Chakraborty

“…Previous research has characterized this problem and tested a range of solutions for eliminating, detecting, or correcting influence in experimental or natural samples, yet interlaboratory comparisons show that affected data are still being reported. …”
Get full text

Family adaptation as a predictor of family self-determination of digital generation students by S. V. Merzlyakova, E. P. Kayumova

“…The aim of the study is to detect the features of students’ family self-determination depending on the level of family adaptation (rigid, structured, flexible and chaotic) in the context of interaction of traditional and digital socialisation.Methodology and research methods. …”
Get full text

Classification of CT scan and X-ray dataset based on deep learning and particle swarm optimization. by Honghua Liu, Mingwei Zhao, Chang She, Han Peng, Mailan Liu, Bo Li

“…In 2019, the novel coronavirus swept the world, exposing the monitoring and early warning problems of the medical system. Computer-aided diagnosis models based on deep learning have good universality and can well alleviate these problems. …”
Get full text