Introduction. Scientists have experimentally proved that succinic acid is a powerful means of increasing the body's resistance to adverse external influences by normalizing the operation of the energy exchange system. There is a large number of works proving that the use of succinic acid and preparations based on it with feed has a beneficial effect on the physiological state, growth energy, productivity and safety of animals. Materials and methods. We set the task of studying the effect of succinic acid on the veterinary and sanitary assessment of the quality of slaughter products of Texas breed quails. For this purpose, 4 groups of quails at the age of 1 day, 30 heads in each group, were formed on the basis of the farm of Z. I. Alimchueva of the Republic of Mari El. The first group was a control group and was kept using the usual diet adopted on the farm. Quails of the 1st experimental group were fed 20 mg of succinic acid per kg of weight, of the 2nd experimental group − 25 mg per kg and of the 3rd experimental group − 30 mg per kg, respectively. Research results, discussion. It was also noted that such organoleptic indicators as appearance, color, taste and juiciness improved. The muscles on the incision were slightly moist, light pink, of a dense elastic consistency. The smell corresponded to fresh poultry meat, there were no foreign odors. A pleasant aroma, pronounced meat taste inherent in poultry meat was noted. Conclusion. Based on the obtained data of the tasting evaluation of quail meat and broth prepared from it, it can be concluded that the use of succinic acid as a component of quail feed does not adversely affect the organoleptic properties of meat and broth.

【Objective】 This paper is to analyze the spatial change in groundwater quality and its determinants in irrigation areas in Tarim Basin in Xinjiang, in attempts to provide a baseline guidance for sustainable utilization of groundwater resources and alleviating groundwater pollution. 【Method】 The analysis was based on 1 292 groundwater quality measurement data, from which we analyzed the groundwater chemical composition and chemistry types using the descriptive statistical analysis method and the Piper trilinear diagram method. The groundwater quality was analyzed using the water quality index method, USSL diagram and Wilcox diagram; spatial variation in groundwater quality and its determinants were calculated using the Kriging interpolation, factor analysis and ion ratio methods. 【Result】 Groundwater quality in the gravelly inclined plain in front of the mountain was better than that in the fine soil plain in the middle and low reaches of the basin. Dissolution of rocks increased ion contents in the groundwater, and groundwater quality deteriorates gradually from the gravelly inclined plain to the fine soil plain. The soluble salt concentration of groundwater in irrigation areas was considerably high; ions in shallow groundwater precipitated due to evaporation, resulting in salt accumulation on the soil surface. The factors affecting groundwater quality are ranked in the order: single structured unconfined groundwater>confined groundwater>unconfined groundwater in confined area. 【Conclusion】 The groundwater quality in the irrigation areas was jointly affected by evaporation and mineral dissolution, the redox in original geology, and human activities, in addition to aquifer type, groundwater recharge-discharge, runoff and cation exchange.

Abstract. Growing conditions play a significant role in the yield and grain quality of winter wheat. Global climate changes and in particular in the meteorological situation in the regions typical for the crop presuppose conducting research on the newly created breeding materials for grain quality. The aim of the study is to determine the nature and magnitude of the change in important parameters of grain quality, under the influence of typical environmental conditions for growing common wheat. The working hypothesis suggests that most of the parameters have a good genetic basis that would allow the selection to lead to their increase. In a multi environmental field experiment involving five test locations over three consecutive years, changes in eight grain quality parameters were investigated reflecting different aspects of the end-use quality. The study involved 40 samples of wheat developed by the breeding company “Agronom” in the last 20 years. With the help of modern methods for statistical analysis, the effect of the main breeding factors “location”, “year” and “genotype”, the limits of variation and the correlations between them have been established. The real possibilities for selection and breeding of each parameter have been analyzed, against the background of the rest of the group. Quality parameters change significantly from the three factors studied. The interaction “genotype x year” has the strongest influence on each of them. The “location x genotype” interaction is not a factor that affects the parameters. Only Deformation energy shows a significant share of the genotype, while the other two factors have a negligible influence on it. Each of the studied parameters, without exception, changes both adequately (linearly, IPC1) and inadequately (nonlinearly, IPC2) when the conditions change during the studied seasons. This nature of change is the reason for the relatively weak positive correlations between the parameters, as well as for their low heritability coefficients in a broad sense. Against the background of the data, the values of Genetic advance are indicated, with which each of them can be increased by selection. There are both positive and negative correlations between the parameters, the direction and value of which must be taken into account in the attempt to change them. An effective selection can be made on the parameters Extensibility index, Deformation energy and P/L ratio which have the strongest genetic control (H2> 0.60), which against the background of the strong influence of the environment (“location”, “year”, “location x year”) can lead to genetic advantage with 12% (Extensibility index), 17% (Deformation energy), 51% (P/L) of their present value. A selection based on PC or Wet gluten content parameters that have a direct effect on overall quality can also be effective (H2 =0.58-0.63). Instead, it would be more prudent to monitor, not so much their quantitative, but their qualitative composition, the accumulation of known or new alleles of glutenins (Glu) and gliadins (Gli), for which there is specific information that they are directly related to high grain quality.

As the water environment system is random and fuzzy,and the cloud model proposed in the 1990s can flexibly realize the conversion of data and concepts,the model is gradually applied in water quality evaluation.Water quality evaluation is essentially a multi-attribute classification problem,and the Euclidean distance can well characterize the multi-attribute problem,which is also gradually applied in water quality evaluation.To compare the advantages and disadvantages of the variable-weighted Euclidean distance method and the evaluation method by the entropy-weighted cloud model in water quality evaluation,we utilize the water quality monitoring data of three major rivers in Shaanxi Province in 2020,i.e.,Weihe River,Hanjiang River,and Danjiang River.Specifically,we evaluate the environmental quality of surface water in 40 cross-sections of the three rivers using the above two methods.The results reveal that the water quality in the study area is good,and the water quality in more than 70% of the sites reaches Class III.The seriously polluted cross-sections are mainly located in the tributaries of Weihe River,and the main pollutants are chemical oxygen demand (COD) and ammonia nitrogen.

The Next Generation Network (NGN) architecture was proposed for delivering various multimedia services with guaranteed quality. For this reason, the elements of the IP Multimedia Subsystem (IMS) concept (an important part of 4G/5G/6G mobile networks) are used in its service stratum. This paper presents comprehensive research on how the parameters of an IMS/NGN network and traffic sources influence mean Call Set-up Delay (<i>E</i>(<i>CSD</i>)) and mean Call Disengagement Delay (<i>E</i>(<i>CDD</i>)), a subset of standardized call processing performance (CPP) parameters, which are significant for both network users and operators. The investigations were performed using our analytical traffic model of a multidomain IMS/NGN network with Multiprotocol Label Switching (MPLS) technology applied in its transport stratum, which provides transport resources for the services requested by users. The performed experiments allow grouping network and traffic source parameters into three categories based on the strength of their effect on <i>E</i>(<i>CSD</i>) and <i>E</i>(<i>CDD</i>). These categories reflect the significance of particular parameters for the network operator and designer (most important, less important and insignificant).

The main task of water supply systems is to expand the technological capabilities of the water supply process, increase its reliability, reduce its capital and operating costs, and simplify design. The purpose of the article is to determine the optimal parameters for the use of the proposed constructive solution of water-lifting equipment in the conditions of livestock farms. The research was conducted in laboratory conditions with further use of mathematical statistics methods. The criteria for optimizing the use of the proposed design of water-lifting equipment in the conditions of livestock farms include the amount of water flow and the speed of the flow. The article establishes the most optimal structural and technological parameters of water-lifting equipment, namely: head height; volume of transit tanks; pipeline diameter; pipeline length. The principle of operation of the proposed constructive solution of water lifting equipment for use in livestock farms is based on increasing the necessary pressure for the water supply network by direct repeated use of gravity forces in the form of the weight of the liquid column from natural or artificial pressure. The ratio of criteria for optimizing the process of using water-lifting equipment in the conditions of livestock farms and optimal structural and technological parameters of the proposed solution was determined. The use of technology in compliance with the recommended structural and technological parameters will solve the problem of improving the quality of water supply to consumers in the conditions of livestock farms, reducing energy consumption during the operation of the water supply system and maintaining the necessary pressure in the water supply network

This study aimed to improve the quality of ultrasound images by modeling an algorithm using a non-local means (NLM) noise-reduction approach to achieve precise quality control and accurate diagnosis of thyroid nodules. An ATS-539 multipurpose phantom was used to scan the dynamic range and gray-scale measurement regions, which are most closely related to the noise level. A convex-type 3.5-MHz frequency probe is used for scanning according to ATS regulations. In addition, ultrasound images of human thyroid nodules were obtained using a linear probe. An algorithm based on the NLM noise-reduction approach was modeled based on the intensity and relative distance of adjacent pixels in the image, and conventional filtering methods for image quality improvement were designed as a comparison group. When the NLM algorithm was applied to the image, the contrast-to-noise ratio and coefficient of variation values improved by 28.62% and 19.54 times, respectively, compared with those of the noisy images. In addition, the image improvement efficiency of the NLM algorithm was superior to that of conventional filtering methods. Finally, the applicability of the NLM algorithm to human thyroid images using a high-frequency linear probe was validated. We demonstrated the efficiency of the proposed algorithm in ultrasound images and the possibility of capturing improved images in the dynamic range and gray-scale region for quality control parameters.

Poor air quality impacts life expectancy and quality of life of populations worldwide. Numerical models generate comprehensive air pollutant concentration datasets, useful for quantifying historic, current and, through projections, future air pollution effects on health. However, it is challenging to accommodate the full range of dispersion and chemistry processes affecting both regional and local scales in a single model. The scientific formulation and evaluation of a new quasi-Gaussian road source dispersion model, ADMS-Local, is presented. This model has been developed as a component for the ‘Multi-model Air Quality System for Health Research’ (MAQS-Health). ADMS-Local accounts for the influence of urban morphology on dispersion, as well as near-road NOX chemistry processes, leading to the spatial resolution of pollutant concentration gradients occurring over distances of a few metres. The model is optimised for use within the MAQS-Health system, where local modelling for each regional model grid cell is run in parallel.

<b>Objective:</b> In order to resolve a lot of redundant information and low precision of apple internal quality evaluation existed in apple near infrared spectroscopy, improving the precision of apple internal quality evaluation. <b>Methods:</b> A new apple inner quality evaluation model based on deep belief network （DBN） and grey wolf optimization algorithm was proposed. According to the characteristic of high dimension and complexity of apple spectral data, the method of selecting characteristic wavelengths of apple spectral data was determined by comparing the results of selecting characteristic wavelengths of full-band, principal component analysis and continuous projection. The parameters of DBN model were optimized by GWO Algorithm, and a continuous projection method for feature wavelength selection and GWO-DBN model for apple inner quality evaluation were proposed. <b>Results:</b> Compared with PSO-DBN, GA-DBN and DBN, the accuracy of apple inner quality evaluation based on GWO-DBN was the highest. <b>Conclusion:</b> This algorithm can effectively improve the accuracy of apple inner quality evaluation and provide a new method for apple inner quality evaluation.

The Next Generation Network (NGN) architecture was proposed for delivering various multimedia services with guaranteed quality. For this reason, the elements of the IP Multimedia Subsystem (IMS) concept (an important part of 4G/5G/6G mobile networks) are used in its service stratum. This paper presents comprehensive research on how the parameters of an IMS/NGN network and traffic sources influence mean Call Set-up Delay (E(CSD)) and mean Call Disengagement Delay (E(CDD)), a subset of standardized call processing performance (CPP) parameters, which are significant for both network users and operators. The investigations were performed using our analytical traffic model of a multidomain IMS/NGN network with Multiprotocol Label Switching (MPLS) technology applied in its transport stratum, which provides transport resources for the services requested by users. The performed experiments allow grouping network and traffic source parameters into three categories based on the strength of their effect on E(CSD) and E(CDD). These categories reflect the significance of particular parameters for the network operator and designer (most important, less important and insignificant).