Quantum annealing feature selection on light-weight medical image datasets by Merlin A. Nau, Luca A. Nutricati, Bruno Camino, Paul A. Warburton, Andreas K. Maier

“…Quantum computers, particularly quantum annealers, are well-suited for such problems, which may offer advantages under certain problem formulations. We present a method to solve larger feature selection instances than previously demonstrated on commercial quantum annealers. …”
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Features of the demography of rural areas of Kuibyshev region during the “Khrushchev thaw” by P.S. Kabytov, M.S. Chirkov

“…This problem is becoming particularly relevant at the present stage of the development of the Russian Federation due to the increasing rate of rural population decline, which hinders Russia’s economic development. …”

Dental Paleopathological Features of the Bronze Age Population of the Sal-Manych Steppes by Elena A. Vagner-Sapukhina

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Detection of Road Rage in Vehicle Drivers Based on Speech Feature Fusion by Xiaofeng Feng, Chenhui Liu, Ying Chen

“…In order to detect emotional changes of drivers in a straightforward and accurate way, and enable measures to be taken to avoid accidents, this paper presents a road rage emotion detection method called DMG-FCC for drivers of motor vehicles based on the fusion of MFCC and GFCC speech features in the frequency domain and their first-order differential features (<inline-formula> <tex-math notation="LaTeX">$\Delta $ </tex-math></inline-formula>MFCC, <inline-formula> <tex-math notation="LaTeX">$\Delta $ </tex-math></inline-formula>GFCC). …”
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Clinical and etiological features of peadiatric facial neuropathy and their role in predicting outcomes by M. A. Irikova, E. Yu. Skripchenko, V. B. Voitenkov, N. V. Marchenko, N. V. Skripchenko, O. V. Goleva, I. B. Petrov

“…The aim: to characterize the clinical and etiological features of facial palsy (FP) in children of different ages at the present stage and their correlation with the outcome and duration of the disease.Materials and methods: the data of 68 children with FP were obtained. …”
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Hyperbolic geometry enhanced feature filtering network for industrial anomaly detection by Yanjun Feng, Jun Liu, Yonggang Gai

“…This paper presents HADNet, a hyperbolic space-based anomaly detection method. …”
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Features of management strategy for the implementation of innovations aimed at improving the competitiveness of the enterprise by V. S. Alieva

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Enhancing Embedded Space with Low–Level Features for Speech Emotion Recognition by Lukasz Smietanka, Tomasz Maka

“…This work proposes an approach that uses a feature space by combining the representation obtained in the unsupervised learning process and manually selected features defining the prosody of the utterances. …”
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Some features of family and marriage relations in the Ingush society: history and modernity by Asya M. Getagazova

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MUTATIONS IN THE ARX GENE: CLINICAL, ELECTROENCEPHALOGRAPHIC AND NEUROIMAGING FEATURES IN 3 PATIENTS by I. V. Ivanova, K. Yu. Mukhin, O. A. Pylaeva, M. Yu. Bobylova, N. E. Kvaskova, A. S. Petrukhin

“…They give rise to 4 key phenotypic features: a different types of brain malformation, abnormal genitalia, epilepsy and intellectual disability. …”
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FEATURES OF DESIGNING FISH PASSAGE AND FISH PASSAGE-SPAWNING CHANNELS AT WATERWORKS by Viktor N. Shkura, Alexey V. Shevchenko

“…Purpose: to present the features of methodological approaches to the development of layout and design solutions for fish passage and fish passage-spawning channels arranged as a part of low-head river waterworks. …”
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Features of Interaction Between Russian Enterprises and Research Organisations in the Field of Innovation by Stanislav Zaichenko, Tatiana Kuznetsova, Vitaliy Roud

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Exploring Mechanical Features of 3D Head and Neck Cancer Models by Aleksandra Evangelista, Franca Scocozza, Michele Conti, Ferdinando Auricchio, Bice Conti, Rossella Dorati, Ida Genta, Marco Benazzo, Silvia Pisani

“…Head and neck squamous cell carcinoma (HNSCC) presents significant challenges in oncology due to its complex biology and poor prognosis. …”
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Stereopsis and clinical features of esotropia patients accompanied by congenital mild ptosis by Heeyoung Choi, Su-Jin Kim, Seung Ahn Yang, Kwang Eon Han

“…Background To evaluate binocular function and clinical features in patients with esotropia (ET) accompanied by congenital ptosis. …”
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Features of ignition and combustion of low-grade coal mixed with pyrolysis liquid by K. V. Slyusarskiy, A. K. Asilbekov

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Efficient feature selection based on Gower distance for breast cancer diagnosis by Salwa Shakir Baawi, Mustafa Noaman Kadhim, Dhiah Al-Shammary

“…This study presents an efficient feature selection method based on the Gower distance to enhance the accuracy and efficiency of standard classifiers on high-dimensional medical datasets. …”
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Causes and features of long-term variability of the ice extent in the Barents Sea by S. B. Krasheninnikova, M. A. Krasheninnikova

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Sleep stages classification based on feature extraction from music of brain by Hamidreza Jalali, Majid Pouladian, Ali Motie Nasrabadi, Azin Movahed

“…In this process, first, the tempo and scale parameters are extracted from the signal according to the rules of music, and next by applying them and changing the dominant frequency of the pre-processed single-channel EEG signal, a sequence of musical notes is produced. A total of 19 features are extracted from the sequence of notes and fed into feature reduction algorithms; the selected features are applied to a two-stage classification structure: 1) the classification of 5 classes (merging S1 and REM-S2-S3-S4-W) is made with an accuracy of 89.5 % (Cap sleep database), 85.9 % (Sleep-EDF database), 86.5 % (Sleep-EDF expanded database), and 2) the classification of 2 classes (S1 vs. …”
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Adaptive deep feature representation learning for cross-subject EEG decoding by Shuang Liang, Linzhe Li, Wei Zu, Wei Feng, Wenlong Hang

“…Methods: We propose a novel adaptive deep feature representation (ADFR) framework to improve the cross-subject EEG classification performance through learning transferable EEG feature representations. …”
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Women in the Russian Service for Emergencies: Motivation for Enter the Service and Career Features by M. A. Kashina, N. P. Nastasyuk

“…The hypothesis was partially confirmed. Features have been highlighted, but they do not have a significant impact on family creaation. 3) It is more difficult for women than for men to make a career in the structures of the Ministry of Emergency Situations. …”
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