Тенденции развития сферы туризма и гостеприимства в современных условиях

В публикации затрагиваются актуальные в современных условиях вопросы развития одной из динамично развивающихся до пандемии отрасли, туризма, а также сферы гостеприимства

XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP

Predictive business process monitoring (PBPM) is a class of techniques designed to predict behaviour, such as next activities, in running traces. PBPM techniques aim to improve process performance by providing predictions to process analysts, supporting them in their decision making. However, the PBPM techniques` limited predictive quality was considered as the essential obstacle for establishing such techniques in practice. With the use of deep neural networks (DNNs), the techniques` predictive quality could be improved for tasks like the next activity prediction. While DNNs achieve a promising predictive quality, they still lack comprehensibility due to their hierarchical approach of learning representations. Nevertheless, process analysts need to comprehend the cause of a prediction to identify intervention mechanisms that might affect the decision making to secure process performance. In this paper, we propose XNAP, the first explainable, DNN-based PBPM technique for the next activity prediction. XNAP integrates a layer-wise relevance propagation method from the field of explainable artificial intelligence to make predictions of a long short-term memory DNN explainable by providing relevance values for activities. We show the benefit of our approach through two real-life event logs

Predictive Process Monitoring Methods: Which One Suits Me Best?

Predictive process monitoring has recently gained traction in academia and is maturing also in companies. However, with the growing body of research, it might be daunting for companies to navigate in this domain in order to find, provided certain data, what can be predicted and what methods to use. The main objective of this paper is developing a value-driven framework for classifying existing work on predictive process monitoring. This objective is achieved by systematically identifying, categorizing, and analyzing existing approaches for predictive process monitoring. The review is then used to develop a value-driven framework that can support organizations to navigate in the predictive process monitoring field and help them to find value and exploit the opportunities enabled by these analysis techniques

Design, Synthesis, Biological Evaluation, and Structure–Activity Relationships of Substituted Phenyl 4-(2-Oxoimidazolidin-1-yl)benzenesulfonates as New Tubulin Inhibitors Mimicking Combretastatin A-4

International audienc

Letter to the editor

This letter to the Editor was written according to the discussion on journal pages on the topic of pain laterality. The paper stated that laterality of back pain significantly depended on patient sex. Some related facts and conclusions on the revealed relationship are discusse

Regulation of peat soils bottom land capacity aimed at the increase of fertility and degradation prevention of organogenic layer

Application of adjustable flooding depending on duration and modes allows inundated peat soil in system of agrobiocenosis to remain in an ecological equilibrium condition. Regulated bottom land capacity is a major factors of optimisation of soil modes, with simultaneous preservation of optimum parametersof a soil-absorbing complex and potential fertility, that is genetically developed in inundated soils of relative balance of processes of a metabolism with environment – an anthropogenous and adjoining inundated landscape. Pripyat promotes preservation of fertility of soils bottom land at its meadow use, to creation of steady long efficiency agroecosystem with preservation of a bioenergetic and ecological resource of inundated peat soils.В статье приводятся данные изменения продуктивности лугового агроценоза, агрохимических показателей аллювиальной торфяной почвы под влиянием регулируемого затопления. Выявлена направленность и степень изменения почвенных режимов аллювиальной торфяной почвы в результате мелиоративного и сельскохозяйственного воздействия. Полученная информация будет способствовать сохранению плодородия почв поймы р. Припять при луговом ее использовании

Predictive Process Monitoring in Apromore

This paper discusses the integration of Nirdizati, a tool for predictive process monitoring, into the Web-based process analytics platform Apromore. Through this integration, Apromore’s users can use event logs stored in the Apromore repository to train a range of predictive models, and later use the trained models to predict various performance indicators of running process cases from a live event stream. For example, one can predict the remaining time or the next events until case completion, the case outcome, or the violation of compliance rules or internal policies. The predictions can be presented graphically via a dashboard that offers multiple visualization options, including a range of summary statistics about ongoing and past process cases. They can also be exported into CSV for periodic reporting or to be visualized in third-parties business intelligence tools. Based on these predictions, operations managers may identify potential issues early on, and take remedial actions in a timely fashion, e.g. reallocating resources from one case onto another to avoid that the case runs overtime

Economic efficiency of cultivation of bean and cereal herbages

As a result of the conducted researches behind growth and efficiency of various types on biological features of meadow herbs in the conditions of a poyemnost it is established that at creation and maintenance of a long botanical variety polderny meadow for receiving biologically full-fledged forage it is required to include in not only bean herbs, but also a herd grass meadow, a fescue meadow or a foxtail meadow. The maintenance of 30% of bean cultures in cereal and bean herbage is equivalent to application of 90 kg of nitrogen in active ingredient, and economic effect makes 0,86 million rub/hectare