DEVELOPMENT AND CHARACTERISATION OF 3D SOLID TUMOUR CELL MODELS FOR INDIVIDUALIZED CANCER TREATMENT by A. B. Danilova, T. L. Nekhaeva, N. A. Efremova, M. A. Maydin, E. I. Fedoros, I. A. Baldueva

“…Background. To solve the problems of personalized medicine in oncology, preclinical studies based on the use of three-dimensional cellular models of tumors in vitro, including spheroids / tumoroids, are of great importance. …”
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From hospital to home: a comprehensive platform supporting cardiac rehabilitation post-revascularization by Samaneh Bakhshayesh, Arash Gholoobi, Khadijeh Moulaei, Farnaz Khoshrounejad, Mohammad Reza Mazaheri Habibi, Zahra Ebnehoseini, Majd Jangi, Saeid Eslami

“…In an app usability test, 30 issues were identified, 73% related to layout problems, especially the line chart and swipe feature. …”
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CHANGES IN THE DENTAL STATUS OF PATIENTS WITH NON-ALCOHOLIC FATTY LIVER DISEASE by D.V. Emelyanov, T.O. Petrushanko

“…On the basis of the results of many scientific studies it has been indicated that there are common features for pathogenetic mechanisms of formation and development of generalized chronic periodontitis and chronic obstructive pulmonary diseases, cardiovascular diseases, diseases of the digestive system, and others. …”
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Vocational teacher training in Russia at the present stage: Conceptual aspect by В. A. Fedorov, P. F. Kubrushko, V. V. Dubitskiy, A. V. Feoktistov

“…Introduction. The features of vocational teacher education (the system of vocational teacher training), its understanding and management complexity, dynamics of modern changes, and needs of educational practice call for conceptual visualisation of its present-day state. …”
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Management of Children with Disease Caused by New Coronaviral Infection (SARS-CoV-2) by Yurii S. Alexandrovich, Elena N. Baybarina, Alexander A. Baranov, Elena A. Vishneva, Nadezda N. Zvereva, Dmitry O. Ivanov, Daria S. Kruchko, Ivan V. Konovalov, Tatiana V. Kulichenko, Yuri V. Lobzin, Ludmila N. Mazankova, Leyla S. Namazova-Baranova, Yuriy V. Petrenko, Dmitry V. Prometnoy, Konstantin V. Pshenisov, Alexey Yu. Rtishchev, Mukhammad A. Sayfullin, Liliya R. Selimzyanova, Aleksandr N. Uskov, Marina V. Fedoseenko, Andrey V. Khar’kin, Olga V. Chumakova, Kamilla E. Efendieva, Alexey V. Yakovlev

“…The authors highlight the problems of prevention, diagnostics and management of pathological conditions caused by COVID-19 in the article according to the presented guidelines. …”
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LEGAL AND ECONOMIC PRINCIPLES OF THE FOREIGN POLICY OF INDEPENDENT AZERBAIJAN IN RELATION TO NEIGHBORING COUNTRIES by Katana Gafarova

“…The synthesis provided the formation of common features of the legal and economic principles of the foreign policy of independent Azerbaijan in relation to the neighbouring countries. …”
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Religious semantics in monumental works by Kuban artists of the late Soviet period / Религиозная семантика в монументальных произведениях кубанских художников позднесоветского пери... by Ivan Apollonov / Иван Александрович Аполлонов

“…The obtained results allow to consider the existence of religious symbols in the cultural space of the state with atheistic ideology and to see the semiotic features of the sacral core of the cultural code of the Russian national tradition. …”
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FACETS OF PROTECTION OF ECONOMIC RIGHTS AND FREEDOMS by Olena Kovalenko, Sergii Vasyliev, Mykola Zhdan

“…This, in turn, highlights the positions of judicial practice and renders the discussion of problems in the protection of economic human rights more constructive and, as a consequence, more effective. …”
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Classification and Physical Characteristic Analysis of Fermi-GBM Gamma-Ray Bursts Based on Deep Learning by Jia-Ming Chen, Ke-Rui Zhu, Zhao-Yang Peng, Li Zhang

“…We propose a new classification method based on convolutional neural networks and adopt a sample including 3774 GRBs observed by Fermi-GBM to address the T _90 overlap problem. By using count maps that incorporate both temporal and spectral features as inputs, we successfully classify 593 overlapping events into two distinct categories, thereby refuting the existence of an intermediate GRB class. …”
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Augmenting Naïve Bayes Classifiers with <i>k</i>-Tree Topology by Fereshteh R. Dastjerdi, Liming Cai

“…For applications where a variable is strongly influenced by multiple other features, TAN has been further extended to the <i>k</i>-dependency Bayesian classifier (KDB), where one feature can depend on up to <i>k</i> other features (for a given <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>k</mi><mo>≥</mo><mn>2</mn></mrow></semantics></math></inline-formula>). …”
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Automated sleep staging model for older adults based on CWT and deep learning by Qunfeng Niu, Ranran Gui, Hengfang Liu, Liuyi Li, Lei Shi, Kunming Jia, Peng Li, Li Wang

“…This model employs Inception modules to extract features at multiple scales, uses the CBAM attention mechanism to further identify efficient features at different scales, and finally employs the multiscale connection structure to concatenate features from different stages, enhancing the model’s feature utilization capability. …”
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Luminescence Microscopy in the Identification of Closely related Species Using the Example of the Genus <i>Persicaria</i> Mill. by A. A. Gudkova, A. S. Chistyakova, A. I. Slivkin, A. S. Bolgov

“…The similarity of morphological and anatomical features of plant species acceptable for medical use and impurities interprets the need to use additional modern methods of analysis. …”
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Révision de l’espèce Homo erectus (Dubois, 1893) by Valéry Zeitoun

“…Those arguments have revealed that the index formulation in logarithmic form usually allows to use them without any problem in the sight of the Laplace-Gauss law. So for a given feature, if the normality is not respected in the reference set then it is not taken into account.An analysis is realized to select the discriminant index, those allowing the grouping or the splitting of different individuals. …”
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The theory and practice of state regulations of entrepreneurship

“…Article is devoted problems of state regulation of business. The essence of this mechanism, its feature, the purpose and a problem is considered. …”
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Using Cuckoo Search Algorithm to Predict Corporate Financial Risks and Alleviate Economic Uncertainty by Muqiao Cai

“…CSA is used to tune the network weights and feature parameters worldwide to improve the neural model’s convergence speed and predictive ability. …”
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Calculation of Transient Stability Limit Based on Convolutional Neural Network by Qihe LOU, Rongsheng LI, Jie TAN, Tiejiang YUAN

“…And next the nonlinear mapping relationship between the key features of the system and the transient stability limit of interface power transmission is constructed after multiple rounds of training processes. …”
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Harmonic Modeling and Experimental Validation of the Converters of DFIG-Based Wind Generation System by Yang-Wu Shen, Ding Wang, Xiang-Tian Deng, Qing Li, Jian Zuo

“…The double-fed induction wind generator- (DFIG-) based wind generation system contains power electronic converters and filter capacitor and inductor, which will bring about high-frequency harmonics under the influence of controllers. Aiming at this problem, this paper studies the relation between the output current and the harmonic source at grid-side and rotor-side converters based on their control features in the DFIG system. …”
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Mechanism of Secondary Breakage in the Overlying Strata during Repetitious Mining of an Ultrathick Coal Seam in Design Stage by Hui Li, Dongsheng Zhang, Shuyin Jiang, Gangwei Fan, Mengtang Xu

“…When designing the mining of an ultrathick coal seam, the laws governing movement in the overlying strata during mining are a fundamental issue based on which several problems are addressed, including determining the mining method and the roadway arrangement, controlling the surrounding strata, and selecting the devices. …”
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Fusion of Focal Loss’s cyber threat intelligence entity extraction by Yuanbo GUO, Yongfei LI, Qingli CHEN, Chen FANG, Yangyang HU

“…Cyber threat intelligence contains a wealth of knowledge of threat behavior.Timely analysis and process of threat intelligence can promote the transformation of defense from passive to active.Nowadays, most threat intelligence that exists in the form of natural language texts contains a large amount of unstructured data, which needs to be converted into structured data for subsequent processing using entity extraction methods.However, since threat intelligence contains numerous terminology such as vulnerability names, malware and APT organizations, and the distribution of entities are extremely unbalanced, the performance of extraction methods in general field are severely limited when applied to threat intelligence.Therefore, an entity extraction model integrated with Focal Loss was proposed, which improved the cross-entropy loss function and balanced sample distribution by introducing balance factor and modulation coefficient.In addition, for the problem that threat intelligence had a complex structure and a wide range of sources, and contained a large number of professional words, token and character features were added to the model, which effectively improved OOV (out of vocabulary) problem in threat intelligence.Experiment results show that compared with existing mainstream model BiLSTM and BiLSTM-CRF, the F1 scores of the proposed model is increased by 7.07% and 4.79% respectively, which verifies the effectiveness of introducing Focal Loss and character features.…”
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CLASSIFICATION OF LEARNING MANAGEMENT SYSTEMS by Yu. B. Popova

“…This creates the problem of choosing the best system. This problem is partly due to the lack of comprehensive classification of such systems. …”
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