bluuebunny/crossref_metadata_2025 huggingface dataset:
Speaker recognition method for short utterance
Authors: Guo Miao , Yang Jiaxiong , Gao Shu
Published: March 2021

Speaker recognition is a technology that uses identity information in the human voice for identity recognition, which owns many advantages in convenient information gathering, low gathering cost and high recognition accuracy. However, the difficulty in gathering messages within short utterance declines the voiceprint recognition function rapidly. We propose a recognition model based on SincNet in the aim of obtaining enough feature information in short utterance. The model used a set of learnable Sinc-based filter banks to extract feature directly from primordial voice in featured extraction layer, which enabled neural networks to discover more valuable voiceprint information; In the pooling layer, we designed the pooling method of dual attention mechanism, which combined multiple self-attention mechanism and self-attention mechanism to enrich the feature information and enhance the differentiation degree of key features so as to solve the defect of short speech with less information; choose ArcFace as the loss function, which can maximize the classification limit in the Angle space, thus improving the classification ability of the model. Experimental results demonstrate that the proposed model performs better than the benchmark model.
The Application Status and Promoting Strategy of Computer Technology in Accounting Office
Authors: Wang Fang
Published: March 2021

In the process of rapid development of computer technology, the application of computer technology in many fields has become more and more common. The application of computer technology in the process of corporate financial and accounting office is beneficial to improve the efficiency of financial and accounting office and ensure the quality of accounting office. Enterprises not only need to strengthen the research work on the application of computer technology, but also put forward effective measures for the application of computer technology in the accounting and office process. Only by improving the application level of computer technology can it truly play its positive role in the accounting and office system.
A Noval Fuzzy Financial Investment Algorithm based on Combinatorial Entropy Value Method
Authors: Guan Yujie , Liu Jianbo
Published: March 2021

According to the multi-objective and multi-decision problem of traditional financial Investment, a Financial Fuzzy Investment model based on Combinatorial Entropy Value Method is proposed. The company financial index system and index calculation model are constructed, an improved entropy method is proposed to calculate the index weight value, which can comprehensively consider the influence of historical evaluation data and current evaluation data, and the fuzzy membership function for investment satisfaction is proposed. Finally, an example is used to verify the effectiveness of the Investment model.
PCB Electronic Component Defect Detection Method based on Improved YOLOv4 Algorithm
Authors: Xin Haojia , Chen Zibo , Wang Boyuan
Published: March 2021

In an era of information, people’s demand for electronic products is greatly increased. As an important part of electronic components, Printed Circuit Board (PCB) has a huge annual output and a variety of sizes and types. Therefore, the traditional method of manually detecting PCB defects may fail to meet the required production standards due to the high error rate. With the development of deep learning, a batch of PCB defect detection models combined with deep learning have been produced, which improves the detection efficiency. However, there are still some problems in these methods, such as low automation degree, low detection degree, and poor stability. This paper proposes an improved algorithm, based on YOLOV4, which uses PCB defect data set released by the Intelligent Robot Laboratory of Peking University, and has abundant images of different defect types, which greatly increases the reliability of the model. By analyzing the feature distribution of CSPDarkNet53 structure layer and the detection target defect size distribution in the data set used, in the data pre-processing and input stage, the image is automatically subdivided according to the average size of the callout box of the detection image, and the probability of anchor containing detection target is increased. Experimental results show that the improved YOLOV4 algorithm has a mean Average Precision (mAP) of 96.88%.
Novel Privacy Preserving Classification Mining Approach Applied to A City Public Security Big Data Analysis
Authors: Zhang Zhengqi , Wang Jian
Published: March 2021

With the development of the big data analysis technology, more and more companies are willing to apply this technology. In order to further promote the big data investigation teaching of Sichuan Police College, we accurately grasp the new situation, new tasks and new requirements faced by the big data investigation, and further deepen the solidification of the implementation path. Through on-the-spot visit, discussion and communication, we will focus on understanding the application technology of big data, extend it to various work of public security organs’ attack, prevention and control. Then we want to promote the establishment of practical application systems, and promote the fundamental change of criminal investigation mode through the construction of big data.
PHP-based undergraduate data reporting and teaching quality evaluation information system
Authors: Zhang Xin , Wei Zhengang , Han Tongjun
Published: March 2021

Teaching evaluation is an important means to evaluate the quality of university education. The traditional teaching evaluation process requires a lot of manpower and material resources to uniformly allocate resources with inconsistent data storage methods. Therefore, it is of great significance to develop a teaching evaluation system for data management and display. The system adopts the PHP development language, the mature oneThink development framework, the data management method is used to process the data, the data is stored in the MySQL database, and the MVC software design architecture and B/S mode are used for the front-end and server interaction. This article describes the key steps of the development system, and proved in practice that the system is stable and compatible with different operating systems and browsers. The results show that this system simplifies the process of teaching evaluation, improves the efficiency of university educational affairs, and has positive significance for the improvement of university teaching quality.
One Draw Attack: Fool Deep Learning Models With Modifying Fewer Pixels
Authors: Gu Shuangjia , Liu Wanping , Li Zhi
Published: March 2021

Deep learning plays the leading role in the field of image recognition, natural language processing, and speech processing. But many researches reveal that the existence of adversarial examples would make models vulnerable. Most of the researches focus on restricting norm distance which result in perturbing images too much. With examples given in this paper, we demonstrate that restricting the number of modified pixels is easier to classify in human vision instead of norm distance, meanwhile, it can get a high accuracy of non-targeted attack on VGG16, ResNet50 and DenseNet201. Our method is adding Bézier curves on original image using differential evolution algorithm (DE). Through continuous evolution, kept the good individuals and eliminated the bad ones, DE can guide the search to the best solution. With DE, we do not need to know the gradient information about models, therefore, our method is robust on different models. When we add more Bézier curves on original image, we can get a higher accuracy which also shows that our method is effective. We find that the distribution of prediction labels focuses on a few categories, which means some labels are easier to attack than the most others. We also think the encode order about labels has an influence on the distribution of misclassified labels.
High-Accuracy Radar Processing Algorithms for OCDM RadCom System
Authors: Xu Ao , Wang Jingqi , Zhang Jin , Zeng Huan
Published: March 2021

In this paper, an orthogonal chirp-division multiplexing (OCDM) symbol-based radar signal processing approach used to estimate the distance and velocity of the target echo in the Radar-Communication (RadCom) system is introduced. And to improve the accuracy of radar resolution, two radar signal processing algorithms, respectively based on periodogram and multiple signal classification (MUSIC) are presented. Simulation results show that these algorithms can significantly improve the scatterer of the radar range profile.
Real-time Data Framework for Marine Environment of the “Southern Maritime Silk Road”
Authors: Lin Bo
Published: March 2021

From the perspective of marine environmental forecasting and in combination with the marine environmental security service for “Southern maritime silk road”, this paper introduces the basic framework of the data-acquisition system for marine-environment forecasting of the “Southern Maritime Silk Road”, which is constructed by research, business and service fields of marine environmental forecasting technology in China: including data source engineering remotely sensed by marine satellite, data source engineering by oceanographic survey (inspection), data source engineering through observation at fixed marine stations, and its support system - transmission network of the observed global Marine environmental data and the supercomputing center. The reanalysis system of data remotely sensed by marine satellite, data system by oceanographic survey (inspection) and data system through observation at fixed marine stations are mainly thrown light upon. The data-acquisition system framework for the marine environment forecasting of the “South Maritime Silk Road” lays a solid foundation for the development and sustainable production of big data industry products of the downstream Marine environment forecasting and security guarantee service.
Research On Grooved Rail Garbage Identification Algorithm Based On Improved YOLOv3
Authors: Huang Xiaojie , Ye Kangquan , Fang Zhongbin , Xie Yongjun , Ma Xizhe , Ji Jing , Wu Qiantong
Published: March 2021

To solve the problem that existing modern tram track cleaning vehicles cannot automatically and accurately identify grooved rail garbage, this paper proposes a grooved rail garbage identification algorithm based on improved YOLOv3. This algorithm firstly extracts the groove rail region in the image, then adjusts and optimizes the residual block and convolutional layer network in the basic network of YOLOv3, and adopts k-means algorithm for clustering analysis to obtain anchor value of the adaptive dataset, which effectively improved the average identification accuracy of grooved rail garbage. The experimental results showed that the improved YOLOv3 model mAP reached 89.16% on the self-made Grooved Rail Garbage Dataset. For the image of 416×416, the recognition speed reached more than 14 frames per second. Compared with the traditional grooved rail garbage identification algorithm, this algorithm not only has higher recognition rate and accuracy, but also has good robustness to environmental changes.
Investigation on House Price Prediction with Various Gradient Descent Methods
Authors: Sun Yan
Published: March 2021

As a branch of artificial intelligence, machine learning has received a lot of attention and has become a popular research field. It connects the huge database obtained from daily life with data prediction, which is of great help in decision making. In this project, we apply linear regression models and use different gradient descent methods, including general, mini-batch, and stochastic gradient descent, to optimize the error. We used convergence rate and accuracy as evaluation criteria, which will be explained via run time of convergence and mean square error respectively. For the regression models, both single-feature and multi-feature hypothesis models are investigated. In consideration of the risks of multicollinearity and overfitting, only simple linear model and its exponential transformation are adopted. The result indicates that mini-batch gradient descent has the biggest comprehensive advantage.
Research on the Evaluation of University Library’s Reading Promotion Mode Based on Computer New Media
Authors: Du Chang’e
Published: March 2021

With the rapid development of new media technology, the reading promotion model has also changed. The libraries in university no longer use the traditional promotion model, they pay more attention to the promotion content of reading. The needs of users should be the center in current reading models. To provide more precise services to achieve the results. On this basis, this paper mainly discusses that the reading promotion mode in the new media environment is carried out from the perspective of evaluation.
Data-to-text Generation via Planning
Authors: Yang Sen , Liu Yang
Published: March 2021

Planning based text generation from structural data is an emerging approach that manages to plan for “what to say.” Existing methods can not dynamically adjust the planning, because they generate complete plans statically without considering the result of surface realization. To address this issue, we propose a model that conducts dynamic text planning and surface realization alternately. In each sentence’s generation, our model first plans the records according to the generated text and the plan history, then realizes the sentence conditioned on the corresponding plan. Experimental results demonstrate that our model performs better on both text planning and text generation. Our model with the dynamic planner achieves impressive results on the E2E dataset.
Quality-Risk Identification and Screening of Aircraft Major Overhaul Project Based on HHM-RFRM
Authors: Zhu Jingqian , Liu Baoping , Dong Peng , Zeng Lingdong
Published: March 2021

With the rapid development of aviation science and technology, the structure and performance of aircraft are more and more complex, and the difficulty of maintenance is correspondingly increased. As a result, quality problems are more likely to occur during the maintenance process. In order to improve the quality of aircraft major overhaul, it is necessary to identify and analyse the risks that affect the quality of aircraft major overhaul. This paper comprehensively uses the improved HHM-RFRM method. At first, the risk factors that may exist in the process of aircraft major overhaul are identified by HHM. And then uses the improved FMEA to carry out triple standard filtration. The multiple standard evaluation is used for further filtering. Finally, 10 important factors are obtained. The purpose of this paper is to put forward a general method to identify the quality-risk of aircraft maintenance projects, which has a certain guiding significance for different levels of aircraft maintenance projects.
A Multi-party Secure E-commerce Voting Scheme Based on SDGHV Algorithm
Authors: Deng Jiahui , Lin Jing , Hu Jiayun , Qian Jiawei
Published: March 2021

In the era of continuous development of e-commerce, the selection of e-commerce affects the development of e-commerce business and management efficiency. Based on the multi-party secure computing technology, this paper designs a set of the electronic voting scheme based on SDGHV multi-party secure data platform for the feedback on customers’ opinions after the goods are sold, which provides a useful reference for the selection of e-commerce products.
Emergency Supply Facility Location Design under Disaster Conditions: Emerging Modeling Techniques and Algorithms
Authors: Dong Di , Cui Na
Published: March 2021

The sudden and frequent natural disasters have brought a series of damages to both the economy and society of all countries in the world and made people to suffer a double loss of life and property. In this context, it raises a claim for emergency rescue activities in terms of more scientific, more accurate and quicker responses. Emergency rescue is taken as one of the most important ways to save lives and reduce losses when natural disasters attack; while proper emergency supply storage facility location is the key to guarantee the effectiveness and efficiency of emergency rescue operations. Based on the characteristics of emergency rescue activities, this paper analyzes the scientific problems in the field of emergency rescue and summarizes the current progress of emergency supply facility location modeling and algorithms with the purpose of laying a theoretical foundation for the future research.
Design and development of a domestic garbage removal management platform based on the Internet of Things
Authors: Xuan Liang , Gan Tianxiang , Hong Wenxiong , Yang Xuan
Published: March 2021

In order to meet the demand of intelligent city for domestic garbage classification and effective transportation, this paper discusses the overall scheme of the domestic garbage classification management system based on the “four classifications” standard of domestic garbage, using the characteristics of the Internet of Things and the existing intelligent garbage classification equipment. Subsequently, an intelligent domestic waste removal and transportation plan was proposed, and a new model of domestic garbage intelligent removal was established. Through the development of mobile terminals and the design of the background management system, an intelligent domestic garbage removal management platform is built, which improves the efficiency of transportation and realizes the intelligent management of domestic garbage classification and transportation.
Research on Construction of Safety Management System in State-owned Enterprises
Authors: Guo Chenggong , Wang Dacheng , Lu Chang , Luo Yun
Published: March 2021

The establishment of safety management system is of great significance to improve safety management of state-owned enterprises. In order to provide some help for state-owned enterprises to establish a safety management system, the shortcomings of state-owned enterprises in safety management are summarized and a general behavior paradigm of establishment of a safety management system from the enterprise level is put forward based on literature research. Besides, the key elements of safety management system are discussed by fuzzy Borda number analytical method based on the grille, and the results show that when setting up the key elements of the safety management system, enterprises should pay more attention to objectives and policies, risk control, emergency management, institutions and responsibilities, laws, regulations and standards, occupational health, performance evaluation, interested parties, check and correct, management review, education and training, on-site management, accident management, leadership and commitment, system support and continuous improvement.
Application of Model-Based System Engineering Method in Civil Aircraft Communication System Design
Authors: Zhang Jiying , Zhang Xinai , Guo Dake , Li Haomin
Published: March 2021

Model-based system engineering theory is a new breakthrough in aircraft development methodology, which can solve the problems of aviation system development, high integration, difficult management and high risks. This paper introduces the basic theory of MBSE, and applies MBSE method in the design of communication system to realize audio communication function. Starting from the needs of stakeholders, perform analysis and define system use cases. According to different scenarios, define the function requirements activity flow and determine the functional model. Then map the functional architecture to the physical layer, carry out scheme trade-off analysis, architecture design and generate physical architecture diagram to ensure that the final solution meets the needs of stakeholders. Through model evolution and iteration, product design is realized. Modeling can provide all parties with a universal and unambiguous design information exchange platform, and at the same time facilitate the realization of system virtual integration and improve the existing design process.
Competitive Behavior and Risk Transmission among Internet Financial Platforms Based on Network Diffusion Models
Authors: Sheng Zhang
Published: March 2021

The differences in business models, lending products and risk control of lending products of Internet financial lending platforms have led to the disorderly growth of Internet Financial platforms in China for a long time. With the voice of financial innovation, the number of platforms and the scale of transactions have increased significantly. In this pager, we will enter the network diffusion model to analyze the physical and statistical characteristics of the competitive behavior and fierce competition behavior of the Internet financial lending platform, and understand the overall characteristics of the Internet P2P lending platform under the specific platform classification, and finally put forward the corresponding policy suggestions.
A bibliometric analysis of poverty alleviation researches in China during the 13th Five-year Plan
Authors: Li Hong , Chen Ji , Li Jiao
Published: March 2021

From the end of 2012 to 2019, 93.48 million population were lifted out of poverty in China. In 2020, which was the final year for poverty alleviation, absolute poverty is eliminated. China have realised a great achievement in poverty reduction. According to the World Bank report, 689 million people living on less than $1.90 a day. At higher poverty lines, 24.1 percent of the world lived on less than $3.20 a day and 43.6 percent on less than $5.50 a day in 2017. Hence, this research was designed to synthesise and represent a comprehensive understanding of the existing Chinese scholars’ articles in poverty alleviation field during the 13th Five-year plan by utilising bibliometric techniques. The result demonstrated the state-of-art of researches in this field. The fundamental articles were identified. The prosperous themes were revealed. Sustainable development and multidimensional poverty are the motor themes.
An Adaptive abnormal flow detection method for new energy stations based on HHT algorithm
Authors: Liang Yin , Xiaoqian Chen
Published: March 2021

With the development of new energy technology, new energy stations are becoming more intelligent and data-based, and cyber-attacks on new energy stations are increasing year by year. In response to the continuous threats brought by malicious traffic to the network of new energy stations, this paper researches on the traffic anomaly detection technology based on network communication characteristics. An adaptive abnormal traffic detection method for new energy stations based on HHT algorithm is proposed, which improves the efficiency of identifying abnormal network traffic and more accurately identifies network attacks against new energy stations. It is verified through experiments that compared with mainstream classifiers, the method studied in this paper can achieve adaptive detection while adaptively determining the threshold, and the detection accuracy can reach 95%, the false alarm rate is lower than other methods, it can provide more accurate identification results for new energy field station network cyber-attacks detection.
Effects of Supplier Concentration on the Financial Performance of Manufacturing Enterprises from Mediating Effect of Commercial Credit
Authors: Yang Yifan , Wang Xiaomei
Published: March 2021

The research on effects of supplier concentration on financial performance of manufacturing enterprises is conducted from the perspective of mediating effect of commercial credit based on financial data of 1090 listed manufacturing companies. MLRM (multiple linear regression model) plus empirical data and the mediating effect test method are used in the research. The results show that the commercial credit plays a partial mediating role in impact of supplier concentration on enterprises’ financial performance, that the commercial credit as a financing means can improve the financial performance of enterprises to a certain extent, and that supplier concentration exerts a significant positive effect on financial performance. Thus, this research can provide theoretical reference in supply-chain management for enterprises.
Research on Supply Chain Integration and Optimization of Live E-commerce
Authors: Feng Taozhu , Wang Xinyue
Published: March 2021

In recent years, with the rise of short video platforms and e-commerce platforms, live streaming with goods has become a hot online sales model. However, the sales volume of live broadcast by big anchors is tens of thousands, which is actually supported by a complete supply chain system. By studying the mode and current situation of the supply chain of live broadcast e-commerce, and analyzing the existing problems, suggestions on the integration and optimization of the supply chain of live broadcast e-commerce are put forward, so as to provide references for relevant personnel in this industry.
Developing a humanless convenience store with AI System
Authors: Low F S , Clifford Lee W L
Published: March 2021

The term artificial intelligence (AI) is no longer a foreign term. It is an ever-growing form of intelligence shown by machine. It is important for retail store owners to adapt to these changes in order to further expand their businesses and profits. For this research study, the focus is primarily based on university students and staff. This system comprises two key parts, namely the Customer’s Application and the Smart Shelf. The Customer’s Application provides a platform for the customers to perform self-checkout through online transactions. The Smart Shelf assists the retail store owners in managing inventory and providing a smooth flow in the business. Within the Smart Shelf, the face recognition helps to provide additional security features and help retail store owners keep track of the number of customers who have successfully registered. The Internet of Things (IoT) allows the retail store owners to monitor and manage their stores without the need to be physically present at the store. The Customer’s Application and the Smart Shelf allow customers to save time as queuing time can be eliminated while embracing a safe and secure shopping experience. This system enables the retail store owners to maximize their profit as it helps in their inventory management and the digitized system will not only save time but will have higher accuracy, minimized mistakes, thus leading to more efficiency. Eventually, they will have the upper hand against their competitors and eliminate the need for additional labour costs.
Building a caring community in problem based learning to improve students’ mathematical connection capabilities
Authors: Tohir M , Atikurrahman M , Maswar M , Daulay L A , Minhaji M , Albadri A , Sardjono W
Published: March 2021

This research aimed to describe the results of the implementation of Problem Based Learning (PBL) done by researchers on Caring Community-based students so that their impact can improve students’ mathematical connection abilities. This research was a Classroom Action Research (CAR) done through 2 cycles, where was in each cycle includes planning, implementation, observation, and reflection. The instruments were used the Package Book and Student Worksheets given to Grade VII students of Ibrahimy Junior High School at Sukorejo. Data Collection tehnique were used by observation, testing, and documentation. Analysing data was used by qualitative descriptive methods through three steps, namely are data reduction, data presentation, and drawing concluding. The results of this research indicated that: (1) there was a significant difference between the results of the cycle I (without worksheet) and cycle II (with worksheet); (2) the statistical results showed that was the significance of Sig. (2-tailed) is 0.00 < 0.05; then it can be concluded that the implementation of PBL based on Caring Community has a significant effect on the ability of students’ mathematical connections; (3) the results of the achievement of indicators of students’ mathematical connected ability among students in the high, medium, and low categories occurred significant differences starting from indicator I, II, and III.
Three dimensional nanofibrous and compressible poly(L-lactic acid) bone grafts loaded with platelet-rich plasma
Authors: Koç Sena , Çakmak Soner , Gümüşderelioğlu Menemşe , Ertekin Tülay Selin , Çalış Mert , Yılmaz Mahmut Muhsin , Akcan Gülben , Çaylı Sevil
Published: March 2021

In this study, nanofibrous matrices of poly(L-lactic acid)-hydroxyapatite (PLLA-HAp) were successfully fabricated by three-dimensional (3D) electrospinning for use in the treatment of irregular bone damages. Compressibility analysis showed that 3D nanofibrous grafts occupied at least 2-fold more volume than their 2D form and they can easily take shape of the defect zone with irregular geometry. Moreover, the compression moduli of the PLLA and PLLA-HAp grafts were calculated as 8.0 ± 3.0 kPa and 11.8 ± 3.9 kPa, respectively, while the strain values of the same samples at the maximum load of 600 kPa were 164 ± 28% and 130 ± 20%, respectively. Treatment of the grafts with aqueous sodium hydroxide solution increased the surface roughness and thus the alloplastic graft materials (PLLA-HAp/M) protecting the fiber morphology were produced successfully. Then, platelet-rich plasma (PRP) was loaded into the surface modified grafts and activated with 10% calcium chloride. The efficiency of the activation was evaluated with flow cytometry and it was found that after activation the percentages of CD62 (P-selectin) and CD41/61 (glycoprotein IIb/IIIa) proteins increased approximately 4-fold. Surface hydrophilicity and biological activity of the PLLA-HAp grafts were enhanced by fibrin coating after PRP activation. The in vitro cell culture studies which were carried out by using mouse pre-osteoblasts (MC3T3-E1) showed that graft materials supported by PRP increased cellular proliferation and osteogenic differentiation significantly. The in vivo results demonstrated that compared with bare PLLA-HAp/M grafts, the PRP loaded grafts (PRP-PLLA-HAp/M) induced significantly greater bone formation based on computed tomography, histological and immunohistochemical analyses. Our findings suggest that 3D PLLA nanofibrous matrices can be used as a graft material for irregular bone defects especially when combined with PRP as an osteogenic induction agent.
Green finance
Authors: Ivanova N G , Katsyuba I A , Firsova E A
Published: March 2021

Many countries are currently forming and developing a green financial system focused on economic growth, social security and environmental protection. The paper provides a rationale for the term green finance and proves the need for reorganization of the financial system with regard to environmental problems that pose significant risks for the financial sector. Systematization and analysis of green stimulus policies used in global and Russian practice with account of the economic crisis of 2020, and assessment of the state of the environmental segment of the financial market made it possible to single out green bonds and loans as the most promising financial instruments, as well as to formulate the main tasks faced by the governments of most countries for development of green finance and to justify the need for standardized approaches to assessing the effectiveness of environmental projects, to improve green financial products, and to attract a wide variety of investors, including the population, for funding regional and municipal green projects.
Lessons on technopreneurship in Kaliningrad region: regional hubs in global networks
Authors: Polyakov R K
Published: March 2021

Over the past quarter of a century, the concepts of cluster development and entrepreneurial ecosystems have become very popular, which caused a heated debate about their relevance and conceptual rigor. In addition, the existing literature on clusters underestimates the role of entrepreneurs in enhancing the agglomeration effect that ties together organizations, labor, markets, and supporting ecosystems. This paper aims to study the main lessons of the development of technopreneurship in a specific region, namely in Kaliningrad region, and to show the path for creation of regional growth hubs and their embedment in global networks. The best practices are analyzed to highlight the priority areas of industrial development in the region. A conceptual model of its growth driver is proposed. Thus, the paper contributes to the existing debate about the directions of technopreneurship development and shows a specific growth point in global networks for the studied region.
Digitalization in the context of solving ecosystem problems in the fishing industry
Authors: Mnatsakanyan A G , Kharin A G
Published: March 2021

Intensification of fisheries and aquaculture leads to an increase in anthropogenic pressure on ecosystems. The stability of many aquatic ecosystems, the most important suppliers of goods and services for human needs, is currently threatened. The concept of sustainable development that includes ecosystem approach to management is called upon to eliminate the threat of their degradation due to excessive economic use. The paper discusses the key problems arising from the exploitation of aquatic ecosystems, analyzes the features of the ecosystem approach to fishery management, and proposes a modified bioeconomic model to describe how digitalization of the fishing industry promotes the solution of its ecological, economic and social problems. The authors concluded that digital technologies make it possible to more accurately identify the optimal scale of fisheries and sustainability of aquatic ecosystems as the basic resources of this activity. Digitalization helps move to a new bioeconomic technological platform in fisheries, which is a responsible involvement of biological resources in the economic circulation that ensures a balanced and harmonious coexistence of business and ecosystems.
Digitalization of fisheries enterprises management
Authors: Mnatsakanyan A G , Kuzin V I , Sergeev L I
Published: March 2021

The introduction of digital methods into the management practice of fishery organizations is a complex problem due to the historical nature of the existing methods of management of fishery enterprises. The aim of the article is to develop methodological approaches to the digitalization of management systems for enterprises in the fishery sector based on the experience gained in the framework of process management. A research methodology is a systematic approach, within which digital transformations of industry management are considered as an integral part of the overall development process. The article analyzes the factors influencing the introduction of new management methods. A model for describing management processes within the framework of process management has been built, its advantages and disadvantages are discussed.
Modernization of marine ports electrical power supply systems in the framework of zero-emission strategy
Authors: Nikishin A J , Kharitonov M S
Published: March 2021

The article describes some approaches to the modernization of the power supply system of marine ports in the framework of zero-emission strategy. A case study of the Kaliningrad sea fishery port given as an example. The authors analyze the electrical power supply system of the enterprise and its power balance, proposing several solutions to improve energy efficiency, reliability and energy loss reduction using distributed renewable energy sources such as wind and solar generation.
Technique for testing small wind turbines by method of acceleration in the wind tunnel and in the field
Authors: Gribkov S V
Published: March 2021

A technique is proposed for obtaining aerodynamic and mechanical characteristics of wind turbines – the wind energy conversion coefficient and the relative torque of the wind turbine as a function of their speed with respect to the intensity of the wind wheel acceleration from the moment of its start until the synchronous speed at constant wind speed. The proposed technique simplifies and significantly reduces the time for experimental testing of wind turbine wheels.
Gordonia: versatile actinobacteria for biotechnology
Authors: Lienkamp A C , Haarmann M , Tischler D
Published: March 2021

The versatile genus Gordonia of the order Actinomycetales comprises numerous biotechnological interesting members. They often possess large genomes and plasmids which provide an arsenal of metabolic capabilities such as for the production of secondary metabolites, biosurfactants, bioactives, exopolysaccharides or carotenoids. Further, many can degrade a huge variety of complex organic molecules making them interesting for bioremediation. Gordonia rubripertincta CWB2 was found to harbour a novel styrene degradative pathway involving glutathione. This pathway is more similar to detoxification routes in higher organisms than to other bacterial routes for styrene metabolism. However, it seems to base on a mix of genes from styrene and isoprene pathways which created this novel pathway, likely by horizontal gene transfer. Now, we like to study this route in more detail and make use of it in order to produce phenylacetic acids such as ibuprofen.
Specialized diet based on modified collagen-containing fish tissue
Authors: Barotova M A , Kazimirova A E , Andreev M P
Published: March 2021

The study addresses the issue of complex processing of collagen-containing fish raw materials, and expansion of the range of specialized fish products of osteotropic action such as biocrips and protein bars. Small Baltic bream and heads of Baltic sprat, by-product of canned sprat production, were used as raw materials. The raw materials were pre-modified by high-temperature hydrolysis to break down collagen-containing connective tissues and soften bone tissues. Hydrolysis was performed in a thermoreactor in an aqueous medium at 120-40 °C, under pressure of 0.15 to 0.20 MPa within 60–90 minutes. Heat-treated raw materials were divided into fractions, which were used in specialized product processing. Chemical composition of raw materials and finished products was investigated. The technology of biocripts based on thermally modified muscle tissues of Baltic bream and bone supplement from its bones has been proposed. The formulation and technology of molded bars based on sublimated water-soluble protein fractions and a protein-mineral supplement made from heat-treated heads of Baltic sprat are substantiated. The functionality of the products in terms of the mineral content is shown. Recommendations for the use of specialized products for groups of people with deficiency of calcium, phosphorus, for sports and gerodietetic nutrition are elaborated.
Efficiency of using vegetable proteins in trout feed
Authors: Vapirov V V , Yu Kuchko T , Matrosova S V
Published: March 2021

The article presents the results of quantitative indicators of the growth of rainbow trout when growing feed with a partial replacement of animal proteins with plant proteins. The results obtained show that the growth rate of fish and the feed coefficient when replacing protein by 10% with plant proteins do not change, provided that the animal, as well as the macro- and microelement balance of feed, are observed.
Fish supportive, connective and integumentary tissues in food biotechnology
Authors: Zemlyakova E S , Yu Klyuchko N , Orlov I O , Fartisheva A L
Published: March 2021

The relevance of the study is due to the insufficient use of the biopotential of the supportive, connective and integumentary tissues of fish (bones, cartilage, fins, heads, scales, skin), which are considered by many scientists as sources of valuable biologically active substances that can be used as functional ingredients in food biotechnology. Collagen and its hydrolysis products, chondroitin sulfate, glycosamine, hyaluronic acid, minerals (calcium, phosphorus, potassium, magnesium, etc.) are the most important components in maintaining human health and, especially, in the prevention and treatment of diseases of the musculoskeletal system. Therefore, the use of hydrolyzed fish tissues as sources of biologically active substances is promising. The biotechnological method of raw material degradation (enzymatic hydrolysis) is the most appropriate, allowing not only to preserve the biopotential of the native tissues, but also to ensure the reliability and sustainability of the production process. The article presents the results of the study of the chemical composition of fish supportive, connective and integumentary tissues, describes the technologies for obtaining new products using these biologically active substances generated by enzymatic hydrolysis.
A review of the cultivation potential of turbot (Scophthalmus maximus (L.)) in the Baltic Sea region: a promising candidate species for marine aquaculture in Russia
Authors: Pyanov D
Published: March 2021

Turbot (Scophthalmus maximus (L.)) is regarded as a good quality product that enjoys widespread acceptance and is therefore a popular choice for marine aquaculture in Europe. This study examines the potential and feasibility of the artificial cultivation of turbot in the Baltic Sea region. It takes into consideration both commercial farming and the implementation of artificial reproduction for stock enhancement programs. With regard to the latter, it discusses observed short-term trends towards reducing species catches in ICES 22-32 subdivisions as well as trends in hydrological process dynamics during the spawning process (especially low water salinity, which decreases the natural reproduction efficiency). The article also considers the potential of the research performed in 2018-2019 at the AtlantNIRO research facility on the development of cultivation techniques for turbot larvae. The findings demonstrate the possibility of cultivating turbot larvae under artificial conditions and are important for the development of marine aquaculture in the Kaliningrad region of Russia, since they can lead to the introduction of new fish species for farming in the future.
Study of the combined effect of a biologically active composition based on apiculture products and peptides extracted from fish scalein the training of athletes in speed and strength athletics disciplines
Authors: Mezenova N Y , Verkhoturov V V
Published: March 2021

The efficiency indicators of using a biologically active composition based on apiculture products and low-molecular-weight peptides extracted from fish scales were studied. The food supplement for athletes was named “Apicolltonus”. Spectrophotometry has shown that sardine scale peptides with molecular weight under 10 kDa with concentration of 1 mg/ml exhibit the greatest resistance to cytotoxicity when exposed to cobalt chloride on mesenchymal stem cells. The safety indicators of the food supplement “Apicolltonus” meet the requirements of the technical regulations of the Eurasian Customs Union. The physiological effect of the food supplement “Apicolltonus” on the body of female track and field athletes specializing in the long jump during the training process was evaluated. According to the results of clinical and biochemical blood tests of the testees a positive dynamics of growth in the levels of red blood cells, hemoglobin, total protein, calcium and iron was established, while reducing the content of urea, uric acid, lactate, total cholesterol and low-density lipoproteins. Improved adaptation of the test group to physical activity in terms of heart rate (HR) was noted. The positive effect of the bio-product on the speed and strength indicators of the athletes in terms of long jump from a standstill, triple jump from a standstill, long jump with 4 running steps, multi-jumps from foot to foot 30 m, shuttle run 3 to 10 m, run 30 m was indictaed. It is recommended to use the bio-product for athletes and people with active lifestyle.
High temperature record for lithium-ion battery with PCM: design and simulation validation
Authors: Yin Deyou , Ni Jimin , Shi Xiuyong , Zhang Hehui
Published: March 2021

Under abuse conditions, the temperature of lithium-ion battery increases rapidly and brings high safety risk. To monitor the high temperature incident of battery with a simple and reliable method, a novel design scheme was presented and validated by thermal numerical calculation, in which phase change material (PCM) block is bonded with the battery shell and gets melt down when the battery temperature exceeds its phase-transition point. The melting process is irrecoverable and can be perceived by easy visual observation. Computation results show that the temperature rising of the PCM block gets slower when it meets the melting point, but it generally increases synchronously with the shell of the battery and can be used to reflect the temperature rising of the inner cell. Thus the design scheme is valid, and may possess a good applied perspective in the after-sales maintenance and second-hand transactions of lithium-ion battery.
Research on key technology of high speed auger
Authors: Xu Pengbo , Wu Di
Published: March 2021

In order to solve the problem of hole collapse and low construction efficiency in the process of soft media gas extraction. A full hydraulic drilling machine with high drilling speed, cross belt construction ability and strong process adaptability has been developed. Through the industrial test, the high efficiency of the drilling machine in the construction of soft coal gas extraction hole is verified, and a method of drilling efficiently in the soft broken coal seam is explored.
Research on the key technology of narrow split crawler drilling rig
Authors: Pengbo Xu
Published: March 2021

According to the complex construction conditions in China, such as coal mines roadway cross section is small and the space is little, a new type of down hole drill was designed in this paper. In order to improve the mobility under the coal mines, the split type and narrow body structure was adopted in the design drill process, the compact type and more range combined frame with the ability which can construct for more rows level drill holes in the coal roadways and all–round pitching angle drilling in the rock. The industrial test showed that the new type drilling has well application effect in complex conditions with flexible mobility and process adaptability under the coal mines, the workers labor intensity was obviously reduced.
Synthesis and Performance of Presulfided NiMoP/Al2O3-SiO2 Catalyst
Authors: Zhang Jingcheng , Song Guoliang , Hu Yuanming , Yu Haibin , Zhang Guohui , Zhao Peijiang , Huang Jingyuan , Sun Yanmin , Yang Tao , Zhang Yuting , Nan Jun , Zhu Jinjian , Xiao Han , Zhang Shangqiang
Published: March 2021

Presulfided NiMoP/Al2O3-SiO2 catalysts were synthesised. The BET surface area and BJH pore volume gradually decrease with P loading due to the ingress of active phases into the pores of the support. No bulk Ni sulfide phase is observed either in the XRD pattern or in the HRTEM micrographs of all catalysts. The mainly high active center is multilayered Ni-Mo-S type II phase benefited from the weak bond between Al2O3-SiO2 support and active components. The incorporation of phosphorous enhances the dispersion of MoS2 particles and formed more multilayered Ni-Mo-S type II phase. The route of hydrogenation activity increases with the content of P up to 1.2 wt.%, and the route of direct desulfurization activity in the hydrodesulfurization of dibenzothiophene decreases simultaneously. This is attributed to the higher MoS2 stacking number and shorter MoS2 slab length.