QUALIMETRY OF INNOVATIVE PRODUCTS WITH THE ADDITION OF THE SHRIMP PALAEMON ADSPERSUS

Crustaceans of the Azov–Black Sea basin, in particular, the shrimp Palaemon adspersus, are a type of raw material easily available in the domestic market, because the large volumes of its industrial production in the Azov–Black Sea basin make it inexpensive and abundant. That is why we have suggested innovative products with the addition of Palaemon adspersus meat: dumplings (pelmeni) and fish fingers. We selected the following main recipe components of these dumplings: Palaemon adspersus meat, Azov–Black Sea goby meat, unleavened dough, and those for fish fingers: Palaemon adspersus meat, Azov–Black Sea goby meat, egg powder. To enhance the taste and aroma, Svanetian salt was added to the minced meat in the model compositions of the products developed. To substantiate the rational content of the recipe components in the model compositions of products with Palaemon adspersus meat added, the method of qualimetric analysis of the sensory parameters was used. According to the results of qualimetric evaluation, it has been found that for dumplings, the best ratio of Palaemon adspersus meat, Azov–Black Sea goby meat, and unleavened dough is 1:2.7:3, and for fish fingers, the most practical ratio of Palaemon adspersus meat, Azov–Black Sea goby meat, and egg powder is 2.5:6.5:1. The obtained results of qualimetric analysis of the model compositions have been confirmed by mathematical calculations using multiple linear regression with initial determination of criterial factors of influence. According to the mathematical calculations performed, the highest value of the parameter (y1 = 0.93) has been obtained for the model composition of dumplings with Palaemon adspersus meat added with the ratio of the recipe components 1:2.7:3. For fish fingers, the highest value of the parameter (y4 = 0.8) has been determined for the model composition where the ratio of the recipe components was 2.5:6.5:1. These calculations confirm the objectivity, efficiency, and practicality of the chosen method of qualimetric analysis of the model compositions under study

Modern materials and technologies in the production of artificial casting

The publication highlights the production of artistic castings by investment casting using combined ceramic molds. The features of the application of a refractory coating, duplex curing of ceramic shells, cutting of molds, removal of the model composition, annealing of ceramic molds, pouring and separation of the gating‑feeding system under conditions of mass production are considered. Hydrolyzed ethyl silicate (ETS) and aqueous alkaline silica sol are used as a binder. The hydrolysis is carried out with an acidic catalyst. The strength of forms on an aqueous binder before calcination (bending strength σi) is from 1.5 to 2 MPa. The presented technology allows flexible coverage of the entire range of art products. Castings weighing from 5 to 10 kg can be produced in one batch, which significantly reduces the production cycle.

Framework for Smart City Model Composition

This paper is a reflective overview of the knowledge on online conversion of services in the perspective of urban planning. It points that traditional planning aimed at building optimal spatial relationships between particular functions in urban environment. Appropriate decision-making rules had been introduced, contributing to a hierarchical land-use structure. This conventional approach has been recently challenged by the rapid ICT development which added a lively, virtual, non-spatial dimension of urban economy. The well-established foundations of urban planning started to shake, calling for a new paradigm. This paper looks for an alternative to traditional planning which would be able to develop policies for omnichannel services (i.e., enterprises that use both online and offline channels for communicating and distributing their products). The advantages of ‘e-planning' in managing omnichannel services are outlined and a conclusion is drawn that only a multi-channel approach can bring appropriate answers to contemporary developments in services sector.

Prediction of future passenger intensity assigning in the directions and time slots

This paper is focused on the prediction of passenger intensity on the Ostrava – Valasske Mezirici railway line in Moravian-Silesian Region, Czech Republic. The paper analyses available transport data about passenger behaviour. Data describes assigning passengers to appropriate directions and time slots in detail, emphasis is placed on daily and weekly variation of travel demand. Based on the provided travel behaviour researches, a model of assigning passenger intensity was designed. Travel surveys and available data sources from realized infrastructure studies were used. The prediction is harmonized with local specific conditions and proceeds from travel behaviour in previous years. The obtained assigning of passenger demand was exploited when designing a new operating concept for the suburban rail in the area. A model composition of the vehicle units and the frequency of connections in the respective sessions were suggested based on the obtained data.

Hierarchical semantic composition of biosimulation models using bond graphs

Simulating complex biological and physiological systems and predicting their behaviours under different conditions remains challenging. Breaking systems into smaller and more manageable modules can address this challenge, assisting both model development and simulation. Nevertheless, existing computational models in biology and physiology are often not modular and therefore difficult to assemble into larger models. Even when this is possible, the resulting model may not be useful due to inconsistencies either with the laws of physics or the physiological behaviour of the system. Here, we propose a general methodology for composing models, combining the energy-based bond graph approach with semantics-based annotations. This approach improves model composition and ensures that a composite model is physically plausible. As an example, we demonstrate this approach to automated model composition using a model of human arterial circulation. The major benefit is that modellers can spend more time on understanding the behaviour of complex biological and physiological systems and less time wrangling with model composition.

Hierarchical semantic composition of biosimulation models using bond graphs

Simulating complex biological and physiological systems and predicting their behaviours under different conditions remains challenging. Breaking systems into smaller and more manageable modules can address this challenge, assisting both model development and simulation. Nevertheless, existing computational models in biology and physiology are often not modular and therefore difficult to assemble into larger models. Even when this is possible, the resulting model may not be useful due to inconsistencies either with the laws of physics or the physiological behaviour of the system. Here, we propose a general methodology for composing models, combining the energy-based bond graph approach with semantics-based annotations. This approach improves model composition and ensures that a composite model is physically plausible. As an example, we demonstrate this approach to automated model composition using a model of human arterial circulation. The major benefit is that modellers can spend more time on understanding the behaviour of complex biological and physiological systems and less time wrangling with model composition.Author summaryBiological and physiological systems usually involve multiple underlying processes, mechanisms, structures, and phenomena, referred to here as sub-systems. Modelling the whole system every time from scratch requires a huge amount of effort. An alternative is to model each sub-system in a modular fashion, i.e., containing meaningful interfaces for connecting to other modules. Such modules are readily combined to produce a whole-system model. For the combined model to be consistent, modules must be described using the same modelling scheme. One way to achieve this is to use energy-based models that are consistent with the conservation laws of physics. Here, we present an approach that achieves this using bond graphs, which allows modules to be combined faster and more efficiently. First, physically plausible modules are generated using a small number of template modules. Then a meaningful interface is added to each module to automate connection. This approach is illustrated by applying this method to an existing model of the circulatory system and verifying the results against the reference model.