Experience with tocilizumab in patients with rheumatoid arthritis (according to the data of the LORNET multicenter trial) by E Yu Panasyuk, V N Amirdzhanova, Anastasia Sergeyevna Avdeyeva, E L Luchikhina, E N Aleksandrova, A A Novikov, E L Nasonov

“…Conclusion. Thus, an analysis of the data of the Russian trial convincingly suggests that TCZ is effective and well tolerated in severe RA resistant to standard therapy with DMARDs.…”
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Review of Pre-processing Techniques for Meteorological Satellite Data Assimilation in Numerical Prediction by Ma Gang, Huang Jing, Gong Xinya, Xi Shuang, Xue Lei, Li Juan, Zhang Peng, Gong Jiandong

“…In the development of satellite data assimilation pre-processing technology, reprocessing of pre-processed satellite data by using a unified data format, expanding the processing for satellite imagery and active detection data, and front-loading a part of satellite data assimilation quality control function into data assimilation pre-processing are important trends in the development of future assimilation pre-processing technology for Fengyun satellite data.…”
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Using machine learning to identify Parkinson’s disease severity subtypes with multimodal data by Hwayoung Park, Changhong Youm, Sang-Myung Cheon, Bohyun Kim, Hyejin Choi, Juseon Hwang, Minsoo Kim

“…This study aims to address the clinical applicability and heterogeneity of PD using PD severity subtypes classification and digital biomarker development by combining objective multimodal data with machine learning (ML) approaches. Methods We analyzed datasets that combine clinical characteristics, physical function and lifestyle data, gait parameters in motion analysis systems, and wearable sensors collected from persons with PD (n = 102) to perform clustering for subtype classification. …”
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A Four‐Dimensional Variational Informed Generative Adversarial Network for Data Assimilation by Wuxin Wang, Boheng Duan, Weicheng Ni, Jingze Lu, Taikang Yuan, Dawei Li, Juan Zhao, Kaijun Ren

“…We employ a CGAN to non‐iteratively solve the 4DVar cost function and utilize a cycle‐consistent adversarial learning framework for data augmentation. …”
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Recent data on fusion far below the barrier for 12C + 28Si by Montagnoli G., Del Fabbro M., Stefanini A. M., Balogh M., Goasduff A., Andreetta G., Angelini F., Benito J., Bonhomme A., Brugnara D., Colucci G., Corradi L., Courtin S., Depalo R., Ertoprak A., Fioretto E., Galtarossa F., Servin B. Gongora, Gottardo A., Gozzelino A., Heine M., Mazzocco M., Mengoni D., Million B., Monpribat E., Del Alamo R. Nicolas, Pellumaj J., Vidal R.M. Perez, Pigliapoco S., Pilotto E., Polettini M., Rezynkina K., Rocchini M., Stramaccioni D., Szilner S., Trzcinska A., Dobon J. Valiente, Zago L., Zanon I.

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MicroRNA expression levels in lung recipients: correlations with clinical and laboratory data by O. P. Shevchenko, S. O. Sharapchenko, O. M. Tsirulnikova, I. V. Pashkov, O. E. Gichkun, D. A. Velikiy, E. F. Shigaev, D. O. Oleshkevich, M. T. Bekov

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Problems of information technology support for implementation BIM concepts by L. I. Malyavkina, A. G. Savina, D. A. Savin

“…The purpose of the study is to analyze the current level of development of the digital infrastructure of the urban planning sector, to identify the features of information technology support for the implementation of the BIM concept at the stages of the life cycle of the CCS and the functionality presented on the national market of solutions that support BIM technology. …”
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Optimizing Renewable Energy Systems Placement Through Advanced Deep Learning and Evolutionary Algorithms by Konstantinos Stergiou, Theodoros Karakasidis

“…This study introduces GREENIA, a novel artificial intelligence (AI)-powered framework for optimizing RES placement that holistically integrates machine learning (gated recurrent unit neural networks with swish activation functions and attention layers), evolutionary optimization algorithms (Jaya), and Shapley additive explanations (SHAPs). …”
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Determining Food Insecurity: An Application of the Rasch Model with Household Survey Data in Uganda by Abraham Owino, Ronald Wesonga, Fabian Nabugoomu

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Longer disease progression milestone-free time in people with amyotrophic lateral sclerosis treated versus not treated with intravenous edaravone: results from an administrative cl... by James D Berry, Melissa Hagan, Jeffrey Zhang, Ying Liu, Malgorzata Ciepielewska

“…Background: IV edaravone is US FDA approved for the treatment of ALS and was shown in clinical trials to slow the rate of physical functional decline. Patients & methods: This retrospective observational analysis included PALS continuously enrolled in Optum’s Clinformatics Data Mart between 8 August 2017 and 31 December 2021. …”

Unite and conquer approach for data clustering based on particle swarm optimization and moth flame optimization by E. Mosavi, S.A. Shahzadeh Fazeli, E. Abbasi, F. Kaveh-Yazdy

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Explanation of Air Quality Data Using Takagi–Sugeno Fuzzy Inference System by Alžbeta Michalíková

“…From the point of view of data analysis, this approach allows us to obtain a system with a comparatively smaller approximation error. …”
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Forecasting Lattice and Point Spatial Data: Comparison of Unilateral and Multilateral SAR Models by Carlo Grillenzoni

“…Spatial auto-regressive (SAR) models are widely used in geosciences for data analysis; their main feature is the presence of weight (W) matrices, which define the neighboring relationships between the spatial units. …”
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Data transmission optimization algorithm for network utility maximization in wireless sensor networks by Chengtie Li, Jinkuan Wang, Mingwei Li

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Pathway analysis in metabolomics: Recommendations for the use of over-representation analysis. by Cecilia Wieder, Clément Frainay, Nathalie Poupin, Pablo Rodríguez-Mier, Florence Vinson, Juliette Cooke, Rachel Pj Lai, Jacob G Bundy, Fabien Jourdan, Timothy Ebbels

“…Over-representation analysis (ORA) is one of the commonest pathway analysis approaches used for the functional interpretation of metabolomics datasets. …”
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multiDGD: A versatile deep generative model for multi-omics data by Viktoria Schuster, Emma Dann, Anders Krogh, Sarah A. Teichmann

“…Consequently, the complexity of multi-omics data sets is increasing massively. Existing models for multi-modal data are typically limited in functionality or scalability, making data integration and downstream analysis cumbersome. …”
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Fabric Tensor Characterization of Tensor-Valued Directional Data: Solution, Accuracy, and Symmetrization by Kuang-dai Leng, Qiang Yang

“…Fabric tensor has proved to be an effective tool statistically characterizing directional data in a smooth and frame-indifferent form. Directional data arising from microscopic physics and mechanics can be summed up as tensor-valued orientation distribution functions (ODFs). …”
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Parallel Attribute Reduction Algorithm for Complex Heterogeneous Data Using MapReduce by Tengfei Zhang, Fumin Ma, Jie Cao, Chen Peng, Dong Yue

“…To improve the reduction efficiency, the hashing Map/Reduce functions were designed to speed up the positive region calculation. …”
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Patient advance care planning in end of life care: international data review by S. K. Sergienko, O. N. Reznik

“…Based on the documented preferences of the patient and communication with his surrogate, doctors can limit the life-sustaining treatment for a hopeless patient and allow him to die. The presented analysis of international data provides basic information for the discussion of the possibility of advance care planning in our country.…”
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Triple-effect correction for Cell Painting data with contrastive and domain-adversarial learning by Chengwei Yan, Yu Zhang, Jiuxin Feng, Heyang Hua, Zhihan Ruan, Zhen Li, Siyu Li, Chaoyang Yan, Pingjing Li, Jian Liu, Shengquan Chen

“…The interaction of various technical effects can obscure true biological signals and complicate the characterization of CP data, making correction essential for reliable analysis. …”
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