Matching of Observation Footprints in the FY-3G MWRI-RM Using BGI by Ke Chen, Bowen Cai, Wei Han, Zihao Suo

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USE OF MODERN INFORMATION TECHNOLOGIES TO ENSURE THE COMPETITIVENESS OF REGIONS IN THE CONTEXT OF DECENTRALIZATION OF POWER by Lev Kloba, Solomiya Kloba

“…The main advantages of automation of the educational process in Amalgamated hromada schools are investigated. …”
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A deep machine learning model development for the biomarkers of the anatomical and functional anti-VEGF therapy outcome detection on retinal OCT images by B.E. Malyugin, S.N. Sakhnov, L.E. Axenova, K.D. Axenov, E.V. Kozina, V.V. Vronskaya, V.V. Myasnikova

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Application and Optimization of neural networks for decision support ON EXCHANGE MARKET

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IMPROVEMENT OF MACRO-ANALYSIS OF THE EXTERNAL ENVIRONMENT FOR THE COMPANY by L. V. Lapitskaya, A. V. Lapitskiy

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Using the cylindrical rod method and a vector network analyzer to determine the dielectric permittivity of materials on microwave range by N. A. Pevneva, A. L. Gurskii, A. M. Kostrikin

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Federated Transfer Learning for IIoT Devices With Low Computing Power Based on Blockchain and Edge Computing by Peiying Zhang, Hao Sun, Jingyi Situ, Chunxiao Jiang, Dongliang Xie

“…The experimental results show that our algorithm can achieve high security and high training accuracy.…”
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Inhibition of transcription by dactinomycin reveals a new characteristic of immunogenic cell stress by Juliette Humeau, Allan Sauvat, Giulia Cerrato, Wei Xie, Friedemann Loos, Francesca Iannantuoni, Lucillia Bezu, Sarah Lévesque, Juliette Paillet, Jonathan Pol, Marion Leduc, Laurence Zitvogel, Hugues de Thé, Oliver Kepp, Guido Kroemer

“…Here, we used an established model, built on artificial intelligence to identify, among a library of 50,000 compounds, anticancer agents that, based on their molecular descriptors, were predicted to induce ICD. This algorithm led us to the identification of dactinomycin (DACT, best known as actinomycin D), a highly potent cytotoxicant and ICD inducer that mediates immune‐dependent anticancer effects in vivo. …”
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Multi-objective RGB-D fusion network for non-destructive strawberry trait assessment by Zhenzhen Cheng, Yifan Cheng, Bailing Miao, Tingting Fang, Shoufu Gong

“…This study proposes a multi-objective learning algorithm that leverages RGB-D multimodal information to estimate these quality metrics. …”
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A SOLUTION TO SYSTEM ACCESS PROBLEM BASED ON CONVOLUTIONAL NEURAL NETWORK APPROACH by N. A. Iskra

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EVALUATION OF THE CHANGE OF SYSTEM RELIABILITY BY USING THE PROBABILITY-ALGEBRAIC APPROACH by D. V. Ratobylskaya

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TRANSFORMATION OF CLINICAL DATA CLUSTERS AT THE STAGE OF INITIAL DIAGNOSIS by A. I. Mitsiukhn, E. N. Maisenia

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INFORMED VOLUNTARY CONSENT IN PAEDIATRICIAN PRACTICE ORIGINAL ARTICLE by N. O. Bazhanov, N. S. Ivanenko

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A tutorial on ‘capped utilisation’ as a metric and key performance target in NHS England’s Model Hospital operating theatres database: caution for international healthcare systems... by Chen Zhang, Claire Dunstan, Jaideep J. Pandit

“…Our interrogation of the database confirmed these predictions. Moreover, we discovered many instances of implausible CTU values and underlying patterns indicating fundamental flaws in the CTU algorithm, rather than data entry errors. …”
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Regulatory T cells and matrix-producing cancer associated fibroblasts contribute on the immune resistance and progression of prognosis related tumor subtypes in ccRCC by Chao Zhang, Yisu Song, Xiaobo Cui, Yina Wang, Jiang Liu, Zhouji Shen

“…In conclusion, our study created a signature to provide opportunities for predicting prognosis and improving treatments of ccRCC.…”
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OR-FCOS: an enhanced fully convolutional one-stage approach for growth stage identification of Oudemansiella raphanipes by Runze Fang, Huamao Huang, Nuoyan Guo, Haichuan Wei, Shiyi Wang, Haiying Hu, Ming Liu

“…A neural architecture search (NAS)-enhanced FCOS decoder replaces both the traditional feature pyramid networks (FPN) and prediction head in FCOS, optimizing feature fusion and prediction. …”
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Dynamic and low-dimensional modeling of brain functional connectivity on Riemannian manifolds by Mingyu Wang, Yueming Wang, Yuxiao Yang

“…Second, we develop a new Riemannian Particle Filter (RPF) algorithm to estimate the hidden low-dimensional SPD matrix state and predict the FC matrix time-series. …”
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A Survey of Loss Functions in Deep Learning by Caiyi Li, Kaishuai Liu, Shuai Liu

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Theoretical and Experimental Study on Nonlinear Hydroelastic Responses and Slamming Loads of Ship Advancing in Regular Waves by Jialong Jiao, Yulin Zhao, Yufei Ai, Chaohe Chen, Tianhui Fan

“…Moreover, a small-scaled segmented ship model is designed, constructed, and tested in a laboratory wave basin to validate the hydroelasticity algorithm. The results predicted by theoretical and experimental approaches are systemically compared and analyzed. …”
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Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning by Frank Rhein, Timo Sehn, Michael A. R. Meier

“…Abstract Multiple linear regression models were trained to predict the degree of substitution (DS) of cellulose acetate based on raw infrared (IR) spectroscopic data. …”
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