Titlebook: Microbiome in 3P Medicine Strategies; The First Exploitati Nadiya Boyko,Olga Golubnitschaja Book 2023 The Editor(s) (if applicable) and The

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Oleksandra Pallah,Nadiya Boyko decrease navigation effort, but helped to draw the readers’ attention towards highlighted parts and decreased the average time spent on pages. . We explored and evaluated the approach of visualizing other readers’ attention focus to help support new readers. Our results include interesting findings

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Elena Ermolenko,Irina Koroleva,Alexander Suvorovoptimise the resultant CNL. We also challenge the concept of a CNL being a one-dimensional static language, and demonstrate that our optimal-constraint process results in a CNL that can adapt to a changing domain while maintaining its expressiveness.

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Tamara Meleshko,Nadiya Boykod . are among the most commonly discussed issues. We also list 20 causes, 23 effects, and 59 solutions for the mined issues. Examples of causes for RE issues are . and .. Examples of the effects of RE issues are . and .. Solutions encompass practices such as . and using .. . This work organizes the

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Ganna Tolstanova,Iryna Akulenko,Tetiiana Serhiichuk,Taisa Dovbynchuk,Natalia Stepanovahanges. [Principal Idea] To support engineers in making informed decisions during the design, development, and evolution of a system, we propose a framework to collect and maintain intentionality in an efficient and effortless way. [Contributions] To define intentionality, disambiguate it from its u

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Liudmyla Lazarenko,Oleksandra Melnykova,Lidiia Babenko,Rostyslav Bubnov,Tetyana Beregova,Tetyana Falhow that the transformer-based BERT classifier performs the best, with an average F1 score of 0.82 and 0.87 on industrial and public datasets, respectively. Our results also confirm that few-shot classifiers can achieve comparable results with an average F1 score of 0.76 on significantly lower sampl

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Jack C. Yu,Hesam Khodadadi,Évila Lopes Salles,Sahar Emami Naeini,Edie Threlkeld,Bidhan Bhandari,Mohaess this challenge, this paper proposes a novel approach that employs the Zero-Shot Learning (ZSL) technique to perform requirements classification. We build several classification models using ZSL. We focus on the classification task because many RE tasks can be solved as classification problems by

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Advances in Predictive, Preventive and Personalised Medicinehttp://image.papertrans.cn/m/image/633111.jpg

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