21 research outputs found
Development of Formulation and Technology of Low-lactose Dairy Beverage Made from Goat Milk
The concept of lactose intolerance and solution approaches of this problem using modern dairy processing technologies are considered in this study. The protein and lipid constituents were calculated to select the basis of a low-lactose milk beverage. The Ξ²-galactosidase preparation was chosen and enzymatic hydrolysis conditions were optimized to obtain a dairy drink that meets the requirements for low-lactose products. To determine the residual amount of lactose in fermented milk, the method for determining whole blood glucose by enzymatic colorimetric method using Shimadzu UV-1800 spectrophotometry was adopted. The influence of technological factors on the dairy low-lactose drink properties was studied. The formulation has been developed and the manufacture process for obtaining a range of low-lactose beverages was adopted, the protein and lipid constituents in the finished product were calculated. The results of this study are considered to be socially significant since the low-lactose products are intended for people suffering from lactase deficiency
Classical theories of media systems: relevance for the contemporary research
The results of a comparative analysis of classifications of media systems developed by foreign researchers in the 20th-21st centuries are presented. Particular attention is paid to the criteria, determinants and comparison parameters that were used in different classifications to identify common characteristics of media systems in different countries. The empirical base of the study includes both popular and little-known authors in the Russian scientific literature, but widely cited in foreign studies, who have formed original classification structures. The basis for the choice of concepts and classifications were the results of the analysis of research and educational programs of Russian and foreign universities, the historical sequence of scientific papers, logical connection with predecessors and followers, contribution to the scientific literature on the theory of journalism and high citation in modern media studies. The main criterion for the selection of the most popular classifications became a citation analysis of foreign researchersβ scientific publications on this topic in the scientometric system Google Scholar that accumulates scientific works from different countries, as well as statistics of Yandex. It is concluded that the main characteristics of media systems, as well as the criteria and parameters used in the most famous classifications (the second half of the 20th - beginning of the 21st century), remain relevant and can be adapted to the analysis of the modern media sphere
Seasonal hydrological and hydrochemical surveys in the Voevoda Bay (Amur Bay, Japan Sea)
Hydrological and hydrochemical surveys were conducted in the Voevoda Bay in May, August, and October, 2011 and February, 2012, in total 140 stations. Free water exchange of the bay with the Amur Bay is observed, with exception of its inner bights Kruglaya and Melkovodnaya. The water exchange is maintained by anticyclonic circulation with the inflow along the southern coast and outflow along the northern coast of the Voyevoda Bay. However, the opposite cyclonic circulation is observed in the Melkovodanaya Bight because of its coastal line patterns and fresh water discharge by the river. Dissolved oxygen content and partial pressure of CO2 in the bay waters are determined mostly by intensive processes of production and destruction of organic matter. There are three main groups of primary producers there, as diatom algae, sea grass Zostera marina , and periphyton. Specific chemical regime is formed in the Melkovodnaya Bight, in particular in winter when primary production depends on the ice cover and is driven by variations of photosynthetically active radiation passed through the ice. Seasonal variability of production-destruction processes intensity is discussed on the data of chemical parameters changes
ΠΠ»Π°ΡΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠ΅ΠΎΡΠΈΠΈ ΠΌΠ΅Π΄ΠΈΠ°ΡΠΈΡΡΠ΅ΠΌ: Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ Π΄Π»Ρ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ
The results of a comparative analysis of classifications of media systems developed by foreign researchers in the 20th-21st centuries are presented. Particular attention is paid to the criteria, determinants and comparison parameters that were used in different classifications to identify common characteristics of media systems in different countries. The empirical base of the study includes both popular and little-known authors in the Russian scientific literature, but widely cited in foreign studies, who have formed original classification structures. The basis for the choice of concepts and classifications were the results of the analysis of research and educational programs of Russian and foreign universities, the historical sequence of scientific papers, logical connection with predecessors and followers, contribution to the scientific literature on the theory of journalism and high citation in modern media studies. The main criterion for the selection of the most popular classifications became a citation analysis of foreign researchersβ scientific publications on this topic in the scientometric system Google Scholar that accumulates scientific works from different countries, as well as statistics of Yandex. It is concluded that the main characteristics of media systems, as well as the criteria and parameters used in the most famous classifications (the second half of the 20th - beginning of the 21st century), remain relevant and can be adapted to the analysis of the modern media sphere.ΠΡΠ΅Π΄ΡΡΠ°Π²Π»Π΅Π½Ρ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΡΡΠ°Π²Π½ΠΈΡΠ΅Π»ΡΠ½ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΠ·Π° ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΉ ΠΌΠ΅Π΄ΠΈΠ°-ΡΠΈΡΡΠ΅ΠΌ, ΡΠ°Π·ΡΠ°Π±ΠΎΡΠ°Π½Π½ΡΠ΅ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΠΌΠΈ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠΌΠΈ Π² XX-XXI Π²Π². ΠΡΠΎΠ±ΠΎΠ΅ Π²Π½ΠΈΠΌΠ°Π½ΠΈΠ΅ ΡΠ΄Π΅Π»ΡΠ΅ΡΡΡ ΠΊΡΠΈΡΠ΅ΡΠΈΡΠΌ, Π΄Π΅ΡΠ΅ΡΠΌΠΈΠ½Π°Π½ΡΠ°ΠΌ ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌ ΡΡΠ°Π²Π½Π΅Π½ΠΈΡ, ΠΊΠΎΡΠΎΡΡΠ΅ ΠΏΡΠΈΠΌΠ΅Π½ΡΠ»ΠΈΡΡ Π² ΡΠ°Π·Π½ΡΡ
ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡΡ
Π΄Π»Ρ Π²ΡΡΠ²Π»Π΅Π½ΠΈΡ ΠΎΠ±ΡΠΈΡ
Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΌΠ΅Π΄ΠΈΠ°ΡΠΈΡΡΠ΅ΠΌ ΡΠ°Π·Π½ΡΡ
ΡΡΡΠ°Π½. Π ΡΠΌΠΏΠΈΡΠΈΡΠ΅ΡΠΊΡΡ Π±Π°Π·Ρ ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π²ΠΊΠ»ΡΡΠ΅Π½Ρ ΠΊΠ°ΠΊ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΡΠ΅, ΡΠ°ΠΊ ΠΈ ΠΌΠ°Π»ΠΎΠΈΠ·Π²Π΅ΡΡΠ½ΡΠ΅ Π² ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π½Π°ΡΡΠ½ΠΎΠΉ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΠ΅, Π½ΠΎ ΡΠΈΡΠΎΠΊΠΎ ΡΠΈΡΠΈΡΡΠ΅ΠΌΡΠ΅ Π² Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
Π°Π²ΡΠΎΡΡ, ΡΡΠΎΡΠΌΠΈΡΠΎΠ²Π°Π²ΡΠΈΠ΅ ΠΎΡΠΈΠ³ΠΈΠ½Π°Π»ΡΠ½ΡΠ΅ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΡΡΡΡΠΊΡΡΡΡ. ΠΡΠ½ΠΎΠ²Π°Π½ΠΈΠ΅ΠΌ Π΄Π»Ρ Π²ΡΠ±ΠΎΡΠ° ΠΊΠΎΠ½ΡΠ΅ΠΏΡΠΈΠΉ ΠΈ ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΉ ΡΡΠ°Π»ΠΈ ΡΠ΅Π·ΡΠ»ΡΡΠ°ΡΡ ΠΌΠΎΠ½ΠΈΡΠΎΡΠΈΠ½Π³Π° Π½Π°ΡΡΠ½ΠΎ-ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΡΠΊΠΈΡ
ΠΈ ΠΎΠ±ΡΠ°Π·ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΡΡ
ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌ ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ
ΠΈ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΡΠ½ΠΈΠ²Π΅ΡΡΠΈΡΠ΅ΡΠΎΠ², ΠΈΡΡΠΎΡΠΈΡΠ΅ΡΠΊΠ°Ρ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠ½ΠΎΡΡΡ Π½Π°ΡΡΠ½ΡΡ
ΡΠ°Π±ΠΎΡ, Π»ΠΎΠ³ΠΈΡΠ΅ΡΠΊΠ°Ρ ΡΠ²ΡΠ·Ρ Ρ ΠΏΡΠ΅Π΄ΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΈΠΊΠ°ΠΌΠΈ ΠΈ ΠΏΠΎΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»ΡΠΌΠΈ, Π²ΠΊΠ»Π°Π΄ Π² Π½Π°ΡΡΠ½ΡΡ Π»ΠΈΡΠ΅ΡΠ°ΡΡΡΡ ΠΏΠΎ ΡΠ΅ΠΎΡΠΈΠΈ ΠΆΡΡΠ½Π°Π»ΠΈΡΡΠΈΠΊΠΈ ΠΈ Π²ΡΡΠΎΠΊΠ°Ρ ΡΠΈΡΠΈΡΡΠ΅ΠΌΠΎΡΡΡ Π² ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΡΡ
ΠΌΠ΅Π΄ΠΈΠ°ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡΡ
. ΠΡΠ½ΠΎΠ²Π½ΡΠΌ ΠΊΡΠΈΡΠ΅ΡΠΈΠ΅ΠΌ Π΄Π»Ρ ΠΎΡΠ±ΠΎΡΠ° Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΏΠΎΠΏΡΠ»ΡΡΠ½ΡΡ
ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΉ Π±ΡΠ» Π°Π½Π°Π»ΠΈΠ· ΡΠΈΡΠΈΡΠΎΠ²Π°Π½ΠΈΡ Π½Π°ΡΡΠ½ΡΡ
ΠΏΡΠ±Π»ΠΈΠΊΠ°ΡΠΈΠΉ Π·Π°ΡΡΠ±Π΅ΠΆΠ½ΡΡ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°ΡΠ΅Π»Π΅ΠΉ ΠΏΠΎ Π΄Π°Π½Π½ΠΎΠΉ ΡΠ΅ΠΌΠ΅ Π² Π½Π°ΡΠΊΠΎΠΌΠ΅ΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΠ΅ Google Scholar, Π°ΠΊΠΊΡΠΌΡΠ»ΠΈΡΡΡΡΠ΅ΠΉ Π½Π°ΡΡΠ½ΡΠ΅ ΡΠ°Π±ΠΎΡΡ ΡΠ°Π·Π½ΡΡ
ΡΡΡΠ°Π½ ΠΌΠΈΡΠ°, Π° ΡΠ°ΠΊΠΆΠ΅ ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠ° ΡΠ΅ΡΠ²ΠΈΡΠ° Π―Π½Π΄Π΅ΠΊΡ. Π‘Π΄Π΅Π»Π°Π½ Π²ΡΠ²ΠΎΠ΄, ΡΡΠΎ ΠΎΡΠ½ΠΎΠ²Π½ΡΠ΅ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊΠΈ ΠΌΠ΅Π΄ΠΈΠ°ΡΠΈΡΡΠ΅ΠΌ, Π° ΡΠ°ΠΊΠΆΠ΅ ΠΊΡΠΈΡΠ΅ΡΠΈΠΈ ΠΈ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΡ, ΠΏΡΠΈΠΌΠ΅Π½ΡΠ²ΡΠΈΠ΅ΡΡ Π² Π½Π°ΠΈΠ±ΠΎΠ»Π΅Π΅ ΠΈΠ·Π²Π΅ΡΡΠ½ΡΡ
ΠΊΠ»Π°ΡΡΠΈΡΠΈΠΊΠ°ΡΠΈΡΡ
(Π²ΡΠΎΡΠΎΠΉ ΠΏΠΎΠ»ΠΎΠ²ΠΈΠ½Ρ XX - Π½Π°ΡΠ°Π»Π° XXI Π².), ΡΠΎΡ
ΡΠ°Π½ΡΡΡ ΡΠ²ΠΎΡ Π°ΠΊΡΡΠ°Π»ΡΠ½ΠΎΡΡΡ ΠΈ ΠΌΠΎΠ³ΡΡ Π±ΡΡΡ Π°Π΄Π°ΠΏΡΠΈΡΠΎΠ²Π°Π½Ρ ΠΊ ΠΈΠ·ΡΡΠ΅Π½ΠΈΡ ΡΠΎΠ²ΡΠ΅ΠΌΠ΅Π½Π½ΠΎΠΉ ΠΌΠ΅Π΄ΠΈΠ°ΡΡΠ΅ΡΡ
Predicting Ship Trajectory Based on Neural Networks Using AIS Data
To create an autonomously moving vessel, it is necessary to know exactly how to determine the current coordinates of the vessel in the selected coordinate system, determine the actual trajectory of the vessel, estimate the motion trend to predict the current coordinates, and calculate the course correction to return to the line of the specified path. The navigational and hydrographic conditions of navigation on each section of the route determine the requirements for the accuracy of observations and the time spent on locating the vessel. The problem of predicting the trajectory of the vesselβs motion in automatic mode is especially important for river vessels or river-sea vessels, predicting the trajectory of the route sections during the maneuvering of the vessel. At the moment, one of the most accurate ways of determining the coordinates of the vessel is by reading the satellite signal. However, when a vessel is near hydraulic structures, problems may arise connected with obtaining a satellite signal due to interference and, therefore, the error in measuring the coordinates of the vessel increases. The likelihood of collisions and various kinds of incidents increases. In such cases, it is possible to correct the trajectory of the movement using an autonomous navigation system. In this work, opportunities of the possible application of artificial neural networks to create such a corrective system using only the coordinates of the shipβs position are discussed. It was found that this is possible on sections of the route where the ship does not maneuver
Solvent Effect on the Solid-Surface Fluorescence of Pyrene on Cellulose Diacetate Matrices
The effect of the solvent nature (acetonitrile, ethanol, dimethyl sulfoxide, and dioxane) and its concentration on the fluorescence intensity of pyrene sorbed on the cellulose diacetate (CDA) film from a water-organic solution was studied. Dimethyl sulfoxide and ethanol are shown to be the most effective solvent additives for pyrene solid-surface fluorescence (SSF). The maximum SSF signal of pyrene was found upon sorption of the substance from aqueous media containing 1.2-4.2βvol% DMSO. For the pyrene quantitation the concentration dependence of its SSF intensity at the maximum of the spectrum at Ξ»em = 394βnm and Ξ»exp = 320βnm was plotted. The dependence has a linear character in the pyrene concentration range 2Β·10β6 - 2Β·10-8βg/L, and the limit of pyrene detection is 2Β·10-11βg/L. The possibility of determining benzo(a)pyrene using SSF technique with the CDA matrix is proved. The proposed method is promising for use in environmental monitoring of polycyclic aromatic hydrocarbons
Influence of the Composition, Structure, and Physical and Chemical Properties of Aluminium-Oxide-Based Sorbents on Water Adsorption Ability
Interaction between the water adsorption ability of aluminium-oxide-based sorbents and their chemical composition, acid-base properties of the surface, and textural characteristics has been analysed. Alumina desiccants were synthesized with the centrifugalβthermal activation of gibbsite followed by the hydration of the gibbsite under mild conditions. It was demonstrated that the multicyclic adsorption regeneration of samples under realistic conditions results in structural transformations and changes in the acidity of their surfaces and water adsorption ability. The modification of pseudoboehmite with alkali ions increases surface basicity and the dynamic capacity of adsorbents relating to water vapours. Equations have been presented that describe the adsorption and desorption processes taking place during water vapour adsorption with the materials studied