bluuebunny/crossref_metadata_2025 huggingface dataset:
Recognition and Application of Tunnel Water Accumulation Based on Computer Vision
Authors: Chen Yuan , Wang Yongwei , Li Kunyao
Published: September 2021

Water accumulation in tunnel threatens the safety of driving and the tunnel itself. In order to detect the tunnel waterlogging in time, a method based on computer vision is proposed. This method utilizes Laplace transform for image preprocessing to remove fuzzy image, uses the network MobileNetV2 to build a tunnel waterlogging recognition model, and then smooths the prediction results. Based on this method, a tunnel waterlogging recognition and early warning platform is developed which applied to a city video surveillance system successfully. The results show that: the tunnel waterlogging recognition method based on computer vision has high accuracy, tiny computation and low cost. The existing video monitoring system can be upgraded intelligently without installing any hardware, so as to realize the active recognition and early warning of tunnel water accumulation.
Focal Rank Loss Function With Encoder-decoder Network For Skin Lesion Segmentation
Authors: Wang Lingdu , Zhang Lei , Shu Xin
Published: September 2021

Skin cancer is a major health problem as melanoma is one of the deadliest types of skin cancer and causes thousands of deaths worldwide each year. Automatic segmentation of skin lesions is considered an essential step in computer-aided diagnosis (CAD) systems for melanoma detection, which help the specialists better examine pigmented skin lesions. However, the segmentation is a challenging task due to the low contrast between each lesion and its surrounding skin tissue which makes the boundary pixels hard to classify. Besides, the class imbalance problem exists in skin lesion segmentation problem. Thus, a new hybrid loss function based on focal loss and rank loss is proposed to alleviate the class imbalance problem and the hard-easy classified pixels problem in skin lesion segmentation problem. The proposed method is evaluated on the ISIC 2017 dataset using the proposed encoder-decoder network, and the result shows the loss outperforms most methods in terms of the dice coefficient and especially the sensitivity.
RMKnet: A novel and parameter-efficient architecture for robust r-peak detection
Authors: Lu Qi
Published: September 2021

The Electrocardiogram (ECG) has become the most important diagnostic criteria in the non-invasive diagnosis of heart disease. The automatic detection of r-peaks in an electrocardiogram signal is also crucial in a all kinds of applications about heart disease. Recently, lots of algorithms have been proposed to automatically detect r-peaks in ECG signals. Traditional detection methods have high detection accuracy on high quality ECG signals which don’t have so much noise, but they perform poorly on low quality ECG signal. Most of the deep learning methods are more robust and have higher accuracy than the traditional methods, but they are usually computationally expensive and difficult to implement and customize. In this paper, we proposed a novel and robust model architecture based on Unet[17] to detect r-peaks. After training, we use re-parameterization greatly accelerating the inference process and reducing the inference memory utilization. The proposed network is evaluated on two open-access ECG databases: CPSC-DB, MIT-BIH and achieves high F1 scores which showing good generalization on different databases comparing to all competing methods.
A malicious code family classification method based on self-attention mechanism
Authors: Zhang Ru , Zhao Xinjian , Li Jiaqi , Zhang Song , Shang Zhijie
Published: September 2021

Malicious code families have become a major threat to network security. Many current methods convert malicious code into images and use deep learning to classify malicious code families. However, the family classification method based on deep learning incorporates the overall characteristics of the malicious code into the classification model, which may cause interference with redundant information in the malicious code. This paper proposes a malicious code family classification method based on a self-attention mechanism. When analysing a noisy data structure such as malicious code images, the attention mechanism is introduced to filter the interference information in the malicious code. The experimental results show that the classification accuracy rate of this method for malicious code families is 99.56%, and the recall rate is 98.06%. Rigorous theoretical analyses and numerous experiments prove our method is efficient and reliable.
The balanced quaternary sequence of odd period with low autocorrelation
Authors: Ke Meijian
Published: September 2021

In this paper, we construct some balanced quaternary sequences of odd period p with low autocorrelation from two types of Legendre sequences and its cyclic shift or complement and inverse Gray mapping, where p is odd prime. Firstly, we choose a Legendre sequence pair of period p, which include p ≡ 1(mod 4) and p ≡ 3(mod 4), then we get a new Legendre sequence pair of period p by cyclic shift or complement, finally, we can get a quaternary sequence of period p by utilizing inverse Gray mapping into the new Legendre sequence pair.
Facial Target Detection and Keypoints Location Study Using MTCNN Model
Authors: Chai Yuan , Liu Jing , Li Yang
Published: September 2021

With the extremely rapid development of AI, facial recognition technology in the field of computer vision, which has the advantages of non-contact and easier to collect information, has become a hot topic in all walks of life. Facial target detection and keypoints location are two core parts of facial recognition technology. According to the analysis of the existing facial detection and keypoints location methods, by comparing their advantages and disadvantages, we find the existing problems. Based on the existing research methods, this paper proposes a high-precision facial detection and keypoints location method based on MTCNN model, which highlights the good accuracy of this method compared with the basic CNN or traditional algorithms, so as to improve the accuracy and effectiveness of facial recognition. It has more prominent advantages in this field, and is worthy of scientific research.
Research on Time Series Forecast of Container Throughput Based on Selective Deep-Ensemble Model
Authors: Jin Xiao , Bo Liu , Jing Huang
Published: September 2021

Accurate forecast of container throughput is an important basis for reasonably planning port construction, making port operation plan and adjusting port development direction. Aiming at the complex nonlinear characteristics of port container throughput, a hybrid model based on selective deep-ensemble for container throughput forecasting (HMSD) is presented in this paper. Firstly, this model decomposes the original container throughput time series into several intrinsic mode functions and a residual by empirical mode decomposition (EMD). Considering highly nonlinear characteristics of each intrinsic mode function, the proposed model constructs three deep neural networks, namely, long short term memory (LSTM), gated recurrent unit (GRU) and convolutional neural network (CNN), as base learners to predict intrinsic mode functions. Then, this model establishes selective deep-ensemble forecasting model by improved group method of data handling (GMDH) on intrinsic mode functions and obtains their ensemble forecasting results. Furthermore, this model uses an autoregressive integrated moving average model to predict the linear residual. Finally, the forecasting result of the total container throughput is obtained by integrating the forecasting results of all intrinsic mode functions and the residual. The empirical analysis of container throughput data of Xiamen port and Shanghai port in China shows that the HMSD model has better forecasting effect than other models.
Research on Diabetes Prediction Analysis Based on Improved ANN Algorithm
Authors: Wang Yinggui , Wang Ben , Di Jiazhi , Sun Jiehao , Wang Xiya
Published: September 2021

Diabetes mellitus is a common chronic disease with a long phase of asymptomatic. This paper focuses on five classification algorithms in machine learning, which are MLP, SVM, KNN, DT and the improved algorithm of ANN. By adjusting appropriate parameters for mining and analysing diabetes data, classifier effect is analysed according to the performance indicators of accuracy, precision, recall, and F1-score. The suitable algorithm is researched for diabetes prediction, and provides ideas for mining and analysing other disease data from current medical industry.
Multiple Granularity Network and Dynamic Label for Domain Adaptive Person Re-identification
Authors: Wang Xile , Zhang Sihan , Song Junyu , Zhang Miaohui
Published: September 2021

The domain adaptive person re-identification (Re-ID) has be more popular among researchers. Because it can save a lot of resources as it only exploits the source domain knowledge and does not need the complex annotation efforts in target domain. It aims to extend a model trained on a labeled dataset to another dataset which is unlabeled. Many works reduce feature distribution gap between two different datasets to solve the problem. However, these works ignore the problem which is the variations within an unlabeled dataset. In the paper, we propose a domain adaptive person Re-ID framework based on multiple granularity network and dynamic label (MGDL). Specifically, we send the images of two different datasets into multiple granularity network at the same time for joint training to reduce feature distribution gap which is between the two different datasets. The network is trained by two different kinds of pseudo labels, namely, conservative label and radical label. The two kinds of pseudo labels are used to alternating pull and push the feature distribution in the target domain to reduce the variations within an unlabeled dataset. Experiments have shown that the MGDL achieves competitive performance in person Re-ID which is under the cross-domain setting.
MSPPNet: A Lightweight Network for Real-time Semantic Image Segmentation
Authors: Liang Yuting , Hang Tangtian , Chen Jie , Liu Lei
Published: September 2021

Real-time semantic segmentation is widely applied in many fields. However, current state-of-the-art methods ignore the inference speed, while some other models that have short run-times produce coarse segmentation results. To balance the inference speed and segmentation accuracy, we propose a Multi-scale Spatial Pyramid Pooling Network (MSPPNet), a lightweight and efficient network for real-time semantic segmentation. Here, we adopt modified Xception to obtain high-level and low-level feature maps, which fundamentally reduces computational complexity and the number of parameters. Besides, we design the Multi-scale Spatial Pyramid Pooling module (MSPP) to aggregate context information from high-level feature maps, which effectively improves segmentation accuracy. Furthermore, the spatial attention mechanism is employed to enrich the details of segmentation and recover object boundaries. Experiments on the Cityscapes dataset show that MSPPNet has less than 1M parameters, and achieves 64.55% mean IoU with a speed of 121 fps. It is demonstrated that MSPPNet achieves a balance between speed and accuracy.
Computational Simulation and Prediction to the Protonated Uranyl-Salophen Coordination with Cyclohexenone
Authors: Lan Wenbo , Meng Yanbin , Zeng Huiwen , Wang Xiaofeng , He Liping , Tan Bin , Li Jianhuang , Wang Liping , He Ying , Zeng Hui , Wang Lei
Published: September 2021

In this study, computer simulation prediction technology was used to establish an interaction model between cyclohexene and protonated small molecules modified uranyl-Salophen. Theoretical simulation research the compounds using Uranyl-Salophen modified by methyl, vinyl and carboxyl-propenyl, with the cyclohexene complexes in vacuum condition, were performed by using density functional theory (DFT) at level with the B3LYP/6-311G*basis set. All of the combination structure is carried out under the same base group, in optimization, infrared spectrum, the binding energy, and the calculation of molecular orbital energy level. The results showed that the capacity and stability of complexes whose Uranyl-Salophen modified by carboxyl-propenyl was strongest, the vinyl followed, and the methyl weakest, and methyl modified even reduce the compounds combining ability.
Research on the Water Quality Intelligent Monitoring System of River Gushing Based on Federal Learning
Authors: Zhu Jiadong
Published: September 2021

Intelligent video surveillance technology is increasingly widely used in social production and life and plays an important role in economic development and environmental protection. This paper focuses on the field of water quality monitoring, and aims at the problems of traditional river gushing including difficulty of water quality monitoring, poor timeliness and insufficient automation, and proposes the intelligent water quality monitoring method from the perspective of intelligent image treatment. A federated learning system combined with a NVIDIA Jetson TX2 edge nodes is constructed by HD cameras deployed at various monitoring points of the gushing. On this basis, based on the convolutional neural network technology, the identification and monitoring of the river gushing water quality can effectively reduce the operation amount and water quality monitoring automation degree under the case of ensuring the accuracy.
Deep Layer and Spatial Aggregation neural network for human pose estimation
Authors: Zhang Deyuan , Weng Chao , Wang Haoguang , Shi Xiangbin
Published: September 2021

The simplebaseline model achieves high performance of human pose estimation with simple network structure. But the model lacks the layer and spatial information fusion. In this paper, we propose DLSAnet, which fuse layers and spatial information efficetively. DLSAnet uses DLA as backbone which has excellent feature extraction capabilities in the field of object detection. In addition, a modified spatial pyramid pooling is introduced to pool and connect multi-scale local area features, allowing the network to learn object features more comprehensively. Using a four-branch SPP module instead of a single-branch SPP module connected by a single hopping layer. This method is effective in alleviating the problem of slow loss drop late in training. Experiments show that DLSAnet can achieve better accuracy.
Virtual Network Security Control Mechanism based on Multi-level Alerting and Linkage Defense
Authors: Li Weiwei , Zhou Cheng
Published: September 2021

The intrusion detection system can effectively detect network attacks dynamically by analyzing network traffic or data packets. However, for complex multi-step attacks with high concealment and persistence, traditional intrusion detection systems generally have the problems of large redundancy of alert data and poor data readability, which seriously affects the security administrators to quickly identify attack behaviors and intentions. To address the above problems, this paper proposes a multi-level alert aggregation method based on software-defined security and linked correction defense based on the Markov chain model. This method designs the reporting message format between the data plane security component and the control plane security controller, and automatically extends the time window by using the temporal proximity relationship of alarms. Multi-level alert aggregation is performed based on the attack attribute matching method, resulting in the effective aggregation of similar alarms. Further, the control plane uses the Markov chain model to generate alert association graphs to obtain the transfer probability between attack types, which is sent down to the security components for linkage defense. The experiments show that this mechanism can effectively achieve multi-level alarm aggregation and alarm information association linkage.
An Intelligent System for Heart Disease Prediction using Adaptive Neuro-Fuzzy Inference Systems and Genetic Algorithm
Authors: Feng Jindong , Wang Qian , Li Na
Published: September 2021

Cardiovascular disease remains the leading cause of death worldwide over the past two decades. Because of a large number of clinical data and the complexity of the disease, it is often challenging to diagnose and make the proper treatment. Over the past decade, as a soft computing method, fuzzy expert systems have been applied in disease diagnosis by many researches because of its superiority in dealing with uncertain and ambiguous problems. This study proposes an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) to diagnose heart disease. Parameters related to membership functions in ANFIS are optimized by applying the genetic algorithm. The experiment was conducted on the public UCI heart disease datasets. The experimental result shows that 91.25% accuracy was obtained on the testing set, which was found to be satisfying based on comparison.
Study on Detection Method of Foxing on Paper Artifacts Based on Hyperspectral Imaging Technology
Authors: Dai Ruochen , Tang Bin , Zhao Mingfu , Tang Huan , Liu Hang
Published: September 2021

Paper artifacts are contaminated by external factors in the process of preservation such as foxing. For the problem of backward technology of rapid detection of foxing on paper artifacts, a method based on hyperspectral imaging technology is proposed to detect foxing spots on paper artifacts. After selecting the region of interest and obtaining the corresponding average reflectance, the difference in the average reflectance is found after comparing the healthy regions with the diseased regions. Using band operation and minimum noise fraction to observe the characteristics of foxing image, although there is overlap in different parts, the distribution distinction between moldy and healthy regions is obvious; K-nearest neighbor method and BP neural network are applied to establish the spectral discrimination model of paper artifacts with foxing spots, and the overall discrimination rate of the two methods is 73.3% and 85%, respectively. The results show that hyperspectral imaging can be used for the identification of foxing spots, but the distinction between different parts is not good, and the discrimination effect still needs to be improved.
Development and optimization of immersive virtual drilling equipment teaching environment
Authors: Sha Linxiu , Gao Qian
Published: September 2021

In view of the phenomenon of scene jumps, slow model refresh speed and fixed visual direction during virtual roaming, in the virtual drilling equipment teaching platform developed based on Unity 3D, the Cardinal spline curve interpolation algorithm is used to optimize the roaming path and improve the smoothness of the roaming. It uses rendering optimization algorithm to improve the fluency of the scene and adjusts the visual angle of observation through orientation change technology algorithm for design and optimization. The results show that the optimized drilling equipment teaching platform improves the comfort of roaming learning, the scene loading speed is increased by 28.73%, and the visual orientation is more convenient to observe the experimental objects. On the whole, it provides students with a comfortable and realistic teaching environment.
The effective application of a complex of essential elements (Se, Zn, I) to increase the meat productivity of poultry feeding on diets with a high level of cadmium
Authors: Lebedev S V , Zavyalov O A , Frolov A N
Published: September 2021

The research was carried out in the conditions of LLC “Poultry farm Orenburgskaya”, the Orenburg region, Russia. For the experiment, 120 hens of the Hisex-Brown cross were selected, of which, according to the principle of analog pairs, 4 groups were formed (n=30): one control and three experimental. According to the experimental method, the poultry was under conditions of the preparatory period up to 13 weeks of age. In the period from 14 to 16 weeks of age, the poultry from the experimental group I took, in addition to the main diet, cadmium sulfate salt (CdSO4) at a dosage of 40 mg / kg of feed, the poultry from the experimental group II took cadmium sulfate at the same dosage and a complex of essential elements: Se in the form of sodium selenite 0.44 mg / kg feed; Zn (zinc sulfate 178 mg / kg feed); the poultry from the experimental group I (potassium iodide - 0.46 mg / kg feed); the poultry from the experimental group III took only a complex of essential elements (Se, Zn, I). It was found that the weight of the gutted poultry carcass and the ratio of the edible and inedible parts of the poultry of the experimental group I, which took cadmium sulfate in the diet, exceeded the analogs from the control group by 5.5 (P≤0.01) and 8.1% (P≤0.05), while the total weight of the digestive tract in poultry of the experimental groups I, II and III were higher than the same indicator established for individuals from the control group by 27.0% (P≤0.05); 44.9% (P≤0.05) and 30.5% (P≤0.05), respectively. By the meat content index, the poultry of the experimental group I exceeded the control one by 9.3% (P≤0.05), while the chickens of the experimental groups II and III, on the contrary, were inferior to the control one by 5.6 (P≤0.05) and 2.5% (P≤0.05), respectively. There were no significant differences in the slaughter yield between the poultry of the experimental and control groups.
Assessment of efficiency of canned vegetables production
Authors: Tikhomirov E A , Lebedev N A , Rakhmatullina A R , Nazarenko I N , Vorobyev D I
Published: September 2021

This research is to assess the efficiency of canned vegetables production. In order to plan the production activities a wide range of parameters is analyzed, for instance the costs production, profit, market, finance, taxation system and political situation. However, the assessment of these parameters is necessary with reference to a specific aims and tasks. The specific time or period, which those parameters are assessed within, is also important. Here the process of launching into production of 2 kinds of canned vegetables on a new production line is considered. The assessment of production efficiency is given on the base of Net Present Value (NPV), internal rate of return (IRR), productivity index. The obtained data proves the expediency of the project; its implementation will increase the economic stability of the enterprise.
Analysis of the process of mass transfer during drying
Authors: Tarawate A R , Özçelik B , Sultanova Sh A , Safarov J E
Published: September 2021

This article describes the important parameters of the drying process. the relationship between mass transfer and heat transfer is given. Medicinal plants were selected for the drying process. Stinging nettle, ginger root and chopped leaves of elecampane are placed evenly in stainless steel meshes with an area of 0.5 m2 each and a depth of 5 cm, raw material from 50 to 90 kg (depending on the plant). Each raw material is dried separately without mixing with each other. The drying process is provided with a heat carrier.
Research of deformation properties of food material under the influence of normal stresses
Authors: Urinov Nasillo , Saidova Mukhabbat , Amonov Mahmud , Odinaev Rustam
Published: September 2021

The article covers research of mechanical characteristics of raw macaroni products when compressed at constant speed, deformation curves of kinetics of deformation of layer of raw macaroni products, as well as developed experimental setup for studying the compressibility of macaroni tubes.
Study of the influence of organomineral supplement feeds on the natural resource indicators of the live weight of horses in the Far North of Yakutia
Authors: Grigoreva A I , Grigorev M F , Sidorov A A , Sysolyatina V V
Published: September 2021

The paper considers with the possibility of applying organic mineral supplement feeds from local natural raw materials in feeding Yang-type horses during the period of maximum loss of live weight in winter. In accordance with the research effort, horses from the control group that were feeding without supplement feeds, and animals from the experimental groups that were feeding organic mineral supplement feeds. During experiments, the live weight was evaluated. The biochemical structure of the blood of the experimental horses was studied. The study of the food ration of horses showed that they have a deficiency of trace elements and vitamins. Therefore, the application of organic mineral supplement feeds from local natural raw materials is justified from a practical point of view. Feeding animals from the experimental groups with supplement feeds made it possible to preserve their live weight in comparison to the control group by 0.81% and 0.5%. The improvement in horse feeding was accompanied by the normalization of the biochemical structure of blood. Thus, horses from experimental groups II and III had higher indicators of total protein by 0.43% and 0.13%, albumin by 0.17% and 0.1%, globulin by 0.26% and 0.03%, hemoglobin by 4.51% and 1.75%, as well as mineral composition (calcium was higher by 6.85% and 2.74%, phosphorus was higher by 7.62% and 2.86%). Thus, the efficiency of feeding horses with organic mineral supplement feeds in winter has been experimentally proved, which ensures maximum preservation of live weight in the Far North of Yakutia.
Justification of the quality of dry concentrates of functional protein-carbohydrate drinks for special nutrition of athletes
Authors: Pushmina I N , Kolman O Ya , Marchenkova S G , Kudryavtsev M D , Galimova A G , Akhmatgatin A A
Published: September 2021

The purpose is justification of the quality of dry concentrates of functional protein-carbohydrate drinks based on plant raw materials for specialized nutrition of athletes. The material for the study was cedar meal from Scots pine fruits (Latin Pínus sylvéstris), cedar meal flour, dried fruits of Siberian mountain ash (Latin Sorbus sibirica) and rose hips (Latin Rósa aciculáris), powders from the specified fruit and berry raw materials, skimmed milk powder, stevioside, corn starch, experimental samples of dry concentrates of functional protein-carbohydrate drinks from plant raw materials and samples of ready-made drinks based on them with a 1:10 hydromodule for special nutrition for athletes. Organoleptic, physicochemical, microbiological studies were carried out using standard and original methods, methods of mathematical modeling and statistical processing of experimental data were used. The combination of new compositions of dry concentrates of protein-carbohydrate drinks from vegetable raw materials for sports nutrition was formed; the quality of compositions of dry concentrates of new types of protein-carbohydrate drinks of functional purpose based on vegetable raw materials - flour from cedar meal, powders from dried fruits of mountain ash and rose hips with the addition of dry skim milk, stevioside, corn starch was justified. The research is promising in the creation of a range of dry concentrates of protein-carbohydrate drinks for sports nutrition using new types of raw materials, the advantage of which is naturalness and a significant content of functional ingredients. This makes it possible to contribute to the development of technologies for products for sports nutrition.
Technology of probiotic beverage production based on juice
Authors: Zinov’eva M E , Shnaider K L , Zaripova S K
Published: September 2021

In the manufacture of functional products a promising direction is the use of a vegetable base. Plants are the main source of carbohydrates, pectins, natural antioxidants, vitamins and fiber for the human body. A promising way to increase the biological value and improve the organoleptic characteristics of vegetable and fruit drinks is their fermentation with cultures of lactic acid bacteria. During fermentation beverages are enriched with the metabolic products of probiotic microorganisms, including vitamins, essential amino acids, antioxidants, etc. The creation of fermented probiotic beverages on a non-dairy basis is an actively developing direction not only abroad, but also in Russia. The method of production of pumpkin beverage with probiotic and prebiotic properties is developed. It has been shown that pumpkin nectar brand "FrutonNyanya" is the best basis for obtaining a functional drink. Optimal conditions for production of probiotic pumpkin beverage are established. It is shown that the amount of viable probiotic microorganisms in the finished beverage is 109CFU/cm3to the end of the shelf life, which allows to attribute the beverage to functional products.
Mathematical modeling of the extraction process of coniferous plants
Authors: Djurayev Khayrulla , Yadgarova Mamura , Khikmatov Doniyor , Rasulov Shukhrat
Published: September 2021

The article presents the results of a mathematical description of heat and mass transfer processes occurring throughout the volume of the extracted substance. A mathematical model has been developed that describes the regularities of the transition of a solute from a solid to a liquid phase. The procedure of computerized calculation of the extraction process was performed. The dynamics of the relationship between heat and mass transfer processes in the product was studied using the Matlab software package.
Development and implementation of the HACCP system in the production process of canned meat for child nutrition
Authors: Odintsova A A , Panin A V
Published: September 2021

Nowadays, it is very important to produce safe products. The global problem is a quality of food products and it is significant item for modern producer and consumer. The quality guarantees that technology is highly monitored, with all technological steps and conditions. Under close attention is the technology process of products for child nutrition. That’s why, it is significant to create and implement a quality management system at the enterprises for production of baby food products. In the present article the technology process of meat canned products for children is established. Within the technological process, special risks with its description are shown. After that, with the use of quality instruments, critical control points are identified. At the final step, the HACCP plan is created. Using this data it is possible to implement a HACCP system in technological process of meat canned products for child nutrition in order to trace all processes, production conditions and to produce a safe product with good quality.
Practical basics of the functional fermented milk desserts development with fruit and berry additives
Authors: Ivanova G V , Kolman O Ya , Nikulina E O
Published: September 2021

A technology for the production of homogenized purees from sea buckthorn and celery, intended for use in the production of dairy desserts, has been developed. The chemical composition of the homogenized sea buckthorn and celery purees was studied. The optimal modes of the fermented milk desserts production with vegetable purees from sea buckthorn and celery are established, which allow producing a product with the improved organoleptic and rheological parameters. The ratio of milk components of cottage cheese and sour cream is (2:1), the dose of mashed sea buckthorn and celery-13% by weight of the product, the ratio of sea buckthorn to celery is 60:40. The technology of the "Milk squirrel" parfait fermented milk desserts and cottage cheese-sour cream mousse "Spring" production with the addition of mashed sea buckthorn and celery has been developed. In the fermented milk desserts, the content of vitamin C, A and E is increased.
New types of biscuit products with improved amino acid composition
Authors: Ermosh L G , Prisuhina N V , Melnikova E V , Safronova T N
Published: September 2021

This article presents the results of development of biscuits with new taste and improved amino acid composition. Soy and buckwheat flours were chosen as functional additives, as raw materials with a high protein content and a more perfect amino acid composition, compared to premium wheat flour. Introduction of buckwheat flour allows you to diversify taste and aroma of finished products. Introduction of soy flour helps to obtain a softer, fluffier and more porous consistency. An increase in content of the total protein and the amino acid rate of flour composition shows that use of buckwheat and especially soy flour in biscuit dough recipe is advisable.
Justification of the choice of plant raw materials and forms of its processing for expanding the range of functional foods products
Authors: Krotova I V , Pushmina I N , Motovilov O K , Sherbinin V V , Mokrousov S M
Published: September 2021

The article reflects the original results of the study of the chemical composition and the presence of physiologically active substances in the aboveground part of the common Aegopodium, which naturally grows in the forest-steppe zone of the Krasnoyarsk Territory. It is shown that the studied biomass is rich in vitamins A, C, group B and P-active substances, as well as macro- and microelements - magnesium, iron, manganese, selenium and copper, which determines the expediency of its use in the production of functional food products. On the basis of the use of dry powders (concentrates) of common Aegopodium and Jerusalem artichoke, a recipe for a new low-moisture bakery product has been developed, which has received the name -Breads "TopifitoSS", as well as a technological map of the specified new functional product. It has been established that the introduction of 12.5 wt.% Dry powders of common Aegopodium whitewash and Jerusalem artichoke into the classical formulation of loaves, as well as the replacement of water with whey make the organoleptic properties and nutritional value of the finished product optimal. Consumption of 100 g of the product provides an intake into the body, mg: ascorbic acid - 10.7; P-active substances - 2.4; magnesium - 18; phosphorus - 30.5; iron - 4.2; selenium - 0.21; energy value - 335 kcal. The regulated indicators of quality and safety of a new functional product have been determined. An expert assessment of organoleptic indicators revealed compliance with regulatory requirements, while experts noted a pleasant, harmonious taste of the product.
An integrated approach to the rum identification
Authors: Abramova I M , Medrish M E , Savelieva V B , Romanova A G , Gavrilova D A
Published: September 2021

In our study, rapid methods were developed for the quantitative determination of cations (sodium, potassium, ammonium, calcium, magnesium) and anions (chlorides, nitrites, nitrates, phosphates, sulfates) using ion chromatography with conductometric detection; phenolic and furan compounds (gallic acid, ellagic acid, vanillin, syringaldehyde, vanillic acid, syringic acid, furfural, 5-HMF, coniferyl aldehyde, sinapaldehyde) by high performance liquid chromatography with spectrophotometric detection; volatile organic impurities (acetaldehyde, ethyl acetate, acetal, methanol, 1-propanol, isobutanol, 2-methylbutanol, 3-methylbutanol) by gas chromatography with flame ionization detection. The developed methods will allow monitoring the technological process of rum production, studying the aging dynamics, and identifying counterfeit products.
The use of aminoacid additives in antistress neuroprotective diets
Authors: Morgul E V , Belik S N , Morgul A R , Gorlov I F , Slozhenkina M I , Berezina O A
Published: September 2021

Throughout life, the human body is constantly exposed to stressful factors. The influence of stress reduces the overall state of the body (especially the immune system), reproductive capabilities, performance, memory, and leads to premature aging. Especially affected are people whose professional activities are associated with unfavorable factors (daily duties, psychoemotional overstrains, physical exertion, violation of the diet), which leads to early professional burnout. Therefore, it is necessary to search for substances that increase the body’s resistance to stress and the possibility of using them for preventive purposes. This article presents the results aimed at studying the antistress properties of the N-phenylacetyl-L-prolylglycine compound. The substance was synthesized in the Research Institute of Pharmacology of the Russian Academy of Medical Sciences. The study was conducted on rats with a high level of anxiety of two ages (3 months old, 1.5 years old), since they are the most sensitive to stress influence. For the selection of animals, the following physiological tests were used: the "Porsolt swimming test", the "open field" test. A 30-minute swim at a water temperature of 28-30°C was used as a stress factor. The neuroprotective properties of the aminoacid additive were determined by indicators of peroxidation and activation of the antioxidant system. The content of malondialdehyde and superoxide dismutase, the activity of ceruloplasmin and catalase, the concentration of extra-erythrocyte hemoglobin, the total peroxidase activity was evaluated. The aminoacid additive (N-phenylacetyl-L-prolylglycine) was found to develop neuroprotective properties. In all animals, the use of an aminoacid additive reduces the intensity of the processes of lipid peroxidation and activates the antioxidant systems. However, in young rats the changes in indicators were significantly positive. The results of this study may be the basis for the use of aminoacid additives as functional ingredients with neuroprotective properties in the production of food in the food industry.
The effectiveness of the using new raw materials in the production of confectionery products
Authors: Yanova M A , Sharopatova A V , Lozkin I F
Published: September 2021

The article deals with the efficiency of the producing confectionery products with increased organoleptic properties and reduced energy value due to the introduction of developed technologies for the production of texturates from wheat grain, by partially replacing sunflower seeds. It was found that the introduction of a texture from extruded wheat grain into the recipe of halva as a grated mass (by partially replacing sunflower seeds) increases the organoleptic characteristics of the product. The economic efficiency of technologies for the preparation of confectionery products (halva) using textured wheat grain is considered. Calculations of the production efficiency of confectionery products (halva) showed that the profit from the sale of finished developed products is higher than in the production of products according to the control recipe by 10.5 %, the profitability of new products was 31.5 %.
Development of a product with increased nutritional density in compliance with macronutrient balance
Authors: Novokshanova Alla L , Matveeva Nataliya O
Published: September 2021

The creation of a product with a balanced composition with increased food density and an optimal ratio of macronutrients, based on dairy raw materials, is a promising direction in the development of food technologies in the field of specialized nutrition. The object of the study was mixtures with an optimal ratio of protein, lipid and carbohydrate components equal to 1: 1: 4. In this case, the carbohydrate component of the product was additionally formed from raw materials of plant origin. Ingredients of Russian origin were used in the work. The organoleptic method was used to assess the consumer characteristics of freshly produced samples, as well as during their storage. There were no obvious differences in these indicators. In the samples put in storage, the physicochemical indicators were investigated: active acidity and viscosity. It is noted that an increase in viscosity is the result of stabilization of the product structure in comparison with its initial state, as a result of swelling of hydrocolloids. In the course of the work, the microbiological indicators of all samples were investigated. During the entire storage period, KMAFAnM did not exceed the average values of 250-2800 CFU / g, which gives grounds to determine the recommended shelf life of the resulting product 15 days.
Pectin-containing drinks with antioxidant action
Authors: Donchenko L V , Glubokovskih Yu R , Koss A A , Limareva N S , Sokol N V
Published: September 2021

The article presents the results of a study of the chemical composition, as well as the content of phenolic compounds and anthocyanins in dark grape varieties. These results confirm the feasibility of using this raw material as a source of antioxidants. The results of the study of the amino acid and fractional composition of pectin substances in the sea grass of the family Zostera marina L. are also presented. Its high biological value is noted. The obtained data on the physical and chemical composition of the new pectin-containing drink based on grape juice allow us to speak about the presence of functional properties.
About the use of plant-based complex of alfalfa in production of dairy products
Authors: Glagoleva L E , Zatsepilina N P , Nesterenko I P , Pevneva D M
Published: September 2021

Fermented milk products perform a special role in rational human nutrition and is an important factor in treatment and prevention of various diseases of gastrointestinal tract. Today, close attention is paid to development and inclusion of various herbal components in production technologies of fermented dairy products. The article discusses the issue of using the plant complex of alfalfa in production technology of fermented dairy products. Alfalfa contains many useful substances that are so necessary for a human body in the realities of today’s adverse environmental impact. The use of the plant complex of alfalfa in fermented milk products will fortify them with protein, vitamins and minerals. The work considered the technological scheme for production of the fermented dairy product with alfalfa seeds, as well as the organoleptic characteristics of finished product. Based on the obtained results, it was concluded that the alfalfa plant complex can be used in production of fermented milk products.
To the Kuban grapes wild plants pathocomplex study
Authors: Gorbunov I V , Lukyanova A A , Lukyanov A A
Published: September 2021

The new grape varieties development is based on genetic diversity, including wild-growing forms, which is important for a successful breeding process and largely depends on a given culture genetic resources knowledge level. Wild grapes, due to their unsurpassed qualities, are of great theoretical and practical interest for breeding. Wild grape plants differ from cultivated ones by higher frost resistance, drought resistance, as well as resistance to soil salinity and various phytopathogens and pests. The article reflects the research results on the phytopathogens and pests study in grapes wild forms in the Krasnodar Territory. During expeditionary studies, grapes wild-growing forms without damage external signs by major diseases and pests were visually identified.
Biological factor of humus reproduction in conditions of the steppe zone of the Southern Urals
Authors: Skorokhodov V Yu , Zorov A A , Zenkova N A
Published: September 2021

The paper considers a biological factor affecting the reproduction of humus and the maintenance of soil fertility in a region with unstable moisture. In the steppe zone of the Southern Urals, the humus formation process is affected by the amount of plant (stubble-root) residues entering the soil, which suggests the possibility of reducing the mineral fertilizers use. The purpose of the experiment was to determine the affecting of a set of field crops in crop rotations on the input of organic matter into the soil of the southern chernozem. The paper studies three variants of the experiment with different types of fallow. An increase of humus in the soil by 0.17% (in the percentage) was found in the crop rotation with fallow occupied by the summer sowing of Sudanese grass in comparison with grain-fallow with weed-free fallow. On average over 10 years, the largest volume of organic matter entered the soil during the cultivation of winter rye in a crop rotation with weed free-fallow (11.87 tons per 1 ha).
New ways to control the development of sugar beet leaf pathogens
Authors: Bezgina J A , Leshchina A A , Glazunova N N , Shipulya A N , Maznitsyna L V
Published: September 2021

Increasing the yield of sugar beet is a strategic goal of modern agricultural production. The area under crops in the south of Russia makes it possible to fully provide sugar production with raw materials. However, changes in climatic conditions in recent years have a negative impact on plants development. Extreme conditions of 2020, when dust storms gave way to torrential rains, contributed to the repeated reseeding of the culture. Sugar beet is a demanding crop. Production efficiency is possible with the right combination of breeding, seed and plant protection. Sugar beet leaf diseases negatively affect the formation of quality indicators. The article presents research results of effectiveness of using new fungicides on sugar beet crops based on active substances from chemical classes: triazoles, strobilurins and carboxamides, under irrigation conditions.
Genotyping of kappa casein in crossbred cattle as a factor in managing the technological qualities of milk
Authors: Smirnova E A , Gryazneva T N , Smirnova A K , Pimenov N V
Published: September 2021

The article presents the results of a study of DNA isolated from the sperm of bulls-producers of the Belgian white-blue breed, images of the wool of cattle of the Holstein breed and crossbred calves obtained by crossing Holstins with the Belgian white-blue breed, for the presence of the B-allele gene kappa casein (CSN3) associated with a high content of protein in milk and optimal coagulation properties of milk used to produce cheese and cottage cheese. It was found that out of 33 animals studied, 26 individuals (78.9%) showed the AA genotype, which determines the inheritance of the ability of animals to produce milk suitable for drinking only, 7 individuals (21.2%) have the AB genotype. Animals with the AB genotype may produce milk suitable for the production of fermented milk products, but their quality will not be high enough. Therefore, calves and gobies with the AB genotype must be crossed with individuals having the AB genotype, then it is possible to obtain offspring with the BB genotype of milk kappa casein, which can be used to make high-quality cottage cheese, yogurt, cheese and other dairy products with a high protein content. Milk of cows with the genotype BB has the best technological qualities and does not require the addition of rennet enzyme in the production of lactic-acid products.