Resolution of the Council of Russian Experts: Apremilast, a phosphodiesterase 4 inhibitor, as a representative of a new class of small molecule compounds: Its place in the treatmen... by A. A. Kubanov

“…The experts analyzed data, including the foreign guidelines relating to the new representative of a class of small molecule compounds, apremilast (registered in the Russian Federation in 2016) in order to determine the place of the drug in algorithms for treatment of moderate and severe Ps and PsA. …”
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The clinical utility and safety of biomarker-guided immunosuppression withdrawal in liver transplantation: the LIFT prospective RCT by Julien Vionnet, Rosa Miquel, Juan G Abraldes, Juan-Jose Lozano, Pablo Ruiz, Miquel Navasa, Aileen Marshall, Frederik Nevens, William Gelson, Joanna Leithead, Steven Masson, Elmar Jaeckel, Richard Taubert, Phaedra Tachtatzis, Dennis Eurich, Kenneth Simpson, Eliano Bonaccorsi-Riani, James Ferguson, Alberto Quaglia, Maria Elstad, Marc Delord, Abdel Douiri, Alberto Sánchez-Fueyo

“…A previous clinical trial showed that a logistic regression algorithm including the transcript levels of a set of five genes in a liver biopsy could predict the success of immunosuppression withdrawal with high sensitivity and specificity. …”
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Passive sonar with cylindrical array by J. Marszal, W. Leśniak, R. Salamon, A. Jedel, K. Zachariasz

“…Changing signal processing algorithms in the beamformer is all that is required. …”
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A Neuro-Symbolic Framework for Tree Crown Delineation and Tree Species Classification by Ira Harmon, Ben Weinstein, Stephanie Bohlman, Ethan White, Daisy Zhe Wang

“…However, these benefits come at the cost of increased complexity, which may deter the uninitiated from using these models. …”
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Dynamic Updating the Three-Way Regions for the Optimal Rules by Xiaohua Wei, Jiangang Ye, Jin Qian, Qiaowen Deng

“…However, they face two aspects: 1) Some old possible rules with lower confidences may be useless; 2) Some optimal rules from the new data are unable to be effectively obtained. …”
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Accelerating Fair Federated Learning: Adaptive Federated Adam by Li Ju, Tianru Zhang, Salman Toor, Andreas Hellander

“…However, when the datasets are not independent and identically distributed, models trained by naive federated algorithms may be biased towards certain participants, and model performance across participants is non-uniform. …”
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APPLICATION OF LINEAR AND NONLINEAR EXTRAPOLATIONS IN ANALYZING THE TRENDS OF CHANGES IN FINANCIAL STABILITY by EVGENY Negashev

“…The article offers several algorithms based on application of linear and non-linear extrapolation of financial indicators depending on the amount of the information used for analysis.The practical significance of the proposed algorithms is related to their applicability to estimate the period of time during which the action of negative trends may lead to the crisis in the financial position of a company. …”
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Nonnegative matrix factorization with Wasserstein metric-based regularization for enhanced text embedding. by Mingming Li, Xingjie Wang, Chunhua Li, Anping Zeng

“…To demonstrate the effectiveness of the NMF-WR model and the proposed algorithms, we conduct experiments on popular datasets, focusing on topic modeling and document clustering. …”
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A Model for Automated Business Writing Assessment by Daniil Dmitrievich Zafievsky, Nadezhda Stanislavona Lagutina, Oksana Andreyevna Melnikova, Anatoliy Yurievich Poletaev

“…The algorithms are based on a syntactic analysis with the use of dictionaries. …”
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Fairness in focus: quantitative insights into bias within machine learning risk evaluations and established credit models by Jacob Ford

“…This research addresses how algorithmic bias may be quantified by conducting a case study of a machine learning alternative credit risk metric, comparing threshold effects for various protected classes contrasted with a conventional credit score (FICO). …”
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METHODOLOGY OF DETERMINING FORECASTING CONTROLLERS OF DISTRIBUTED GENERATION PLANTS by Yu. N. Bulatov, A. V. Kryukov, N. V. Huan

“…Therefore, the predictive algorithms built on the basis of the model laws of regulation may prove to be very promising for real systems of technological process control, especially in the need to accelerate the commissioning of objects, such as distributed generation (DG) plants, working on the basis of synchronous generators with automatic excitation and speed controls (AEC and ASC). …”
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Machine Learning-Driven Transcriptome Analysis of Keratoconus for Predictive Biomarker Identification by Shao-Hsuan Chang, Lung-Kun Yeh, Kuo-Hsuan Hung, Yen-Jung Chiu, Chia-Hsun Hsieh, Chung-Pei Ma

“…Recent studies suggest that a gene expression analysis of corneas may uncover potential novel biomarkers involved in corneal matrix remodeling. …”
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Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry by Ahmed Sewify, Ahmed Sewify, Maxence Lavaill, Maxence Lavaill, Dermot O’Rourke, Dermot O’Rourke, Maria Antico, Maria Antico, Peter Pivonka, Peter Pivonka, Davide Fontanarosa, Davide Fontanarosa, Saulo Martelli, Saulo Martelli

“…We discovered that CPD may be a more suitable registration method for the task than ICP. …”
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Local adaptation and validation of a transdiagnostic risk calculator for first episode psychosis using mental health patient records by Elizabeth Ford, James Stone, James Stone, James Stone, Dominic Oliver, Dominic Oliver, Dominic Oliver, Benjamin Fell, Gloria Roque, Sam Robertson, Paolo Fusar-Poli, Paolo Fusar-Poli, Paolo Fusar-Poli, Paolo Fusar-Poli, Kathryn Greenwood, Kathryn Greenwood

“…We developed new machine-learning NLP algorithms for diagnosis, symptom and substance use concepts by fine-tuning existing open-source transformer models. …”
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Autonomous Driving Strategy for a Specialized Four-Wheel Differential-Drive Agricultural Rover by Salvatore Martelli, Francesco Mocera, Aurelio Somà

“…Recently, the agriconstruction machinery sector has been involved in a great technological revolution. The reasons that may explain this are strictly connected to the mitigation of climate change. …”
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Personal Data Recognition Using a Deep Learning Model by Nikita Babak

“…Nevertheless, such algorithms may lack the flexibility required to handle complex cases effectively. …”
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Formulation and evaluation of ocean dynamics problems as optimization problems for quantum annealing machines. by Takuro Matsuta, Ryo Furue

“…Recent advancements in quantum computing suggest the potential to revolutionize computational algorithms across various scientific domains including oceanography and atmospheric science. …”
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Imitating a Safe Human Driver Behaviour in Roundabouts Through Deep Learning by A. S. J. Cervera, F. J. Alonso, F. S. García, A. D. Alvarez

“…By placing a number of cameras in our vehicle and processing their video feeds through a series of algorithms, including Machine Learning, we can build a representation of the state of the surrounding environment. …”
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A study on plant root apex morphology as a model for soft robots moving in soil. by Anand Kumar Mishra, Francesca Tramacere, Roberto Guarino, Nicola Maria Pugno, Barbara Mazzolai

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The European Open Science Cloud as a common good Potentials and limitations of this endeavour [version 2; peer review: 3 approved] by Melania Acciai, Anna Bertelli, Giorgio Rossi

“…In particular, we emphasize that key resources as required to access and exploit EOSC’s advanced FAIR-data services – such as data-processing algorithms – are, in fact, intrinsically limited and the access will be competitive. …”
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