bluuebunny/crossref_metadata_2025 huggingface dataset:
Targeted Poverty Alleviation System Based on Industrialized Blockchain
Authors: Et al. Haoling Meng,
Published: August 2021

Toward the existing problems in targeted poverty alleviation system, such as unclear poverty alleviation records, inaccurate poverty alleviation targets, easy tampering of poverty alleviation data and single data storage structure, a targeted poverty alleviation system based on blockchain + IPFS + distributed database is designed.For different links in the industrial field, different consensus schemes are used to balance reliability and performance. Using the characteristics of blockchain technology to ensure that data are traceable and tampering-proof, and then combining this technology with the interstellar file system (IPFS) as data storage to solve the problem of high cost of large files; what’s more, the distributed database can play a role in achieving data partition management to solve the problem of single data storage structure. The data nodes are independent of each other, thus, they can realize the efficient control of resources and improve the concurrency and scalability of the system. Through the performance test and comparative analysis of the system, it is proved that the system has a great improvement in throughput, data read-write delay and other indicators.
Research on the Digital Transformation of Sporting Goods Manufacturing Industry in China Based on "C2M" Mode
Authors: Jianye Liu Ji Zhu,
Published: August 2021

This paper studies the transformation and upgrading of sporting goods manufacturing industry in China, and discusses why the sporting goods manufacturing industry needs digital transformation from the perspective of "C2M" mode, and puts forward some suggestions on how to carry out the digital transformation of sporting goods manufacturing industry in China based on the "C2M" mode. Based on the "C2M" mode, four suggestions are put forward: first is to establish a platform to attract consumers and meet the personalized customization needs to face the gradual diversification of consumer needs; second is to build a flexible production chain and change the business management concept to face the gradual increase in the cost of production factors;  third is to accelerate the digital transformation of management and improve the level of management modernization to face the drawbacks brought by the industry from design to sales and circulation; fourth is to strengthen brand building and pursue market segmentation in order to face the situation that China's large-scale sporting goods manufacturing industry is facing high marketing expenses and the small and medium-sized sporting goods manufacturing industry does not pay attention to innovation.
A Comparative Research on Three Identification Methods of Scenic Resources of Tourism Based on GF-2 Image: A Case Study of Yesanpo National Park
Authors: Anchen Qin Zhe Jia,
Published: August 2021

Based on the scientific identification and evaluation of scenic resources, the formulation of planning and management is of great significance to the sustainable development of tourism in national parks. This paper uses GF-2 high-resolution remote sensing images as the data source, and the Yesanpo National Park as the research area. It uses pixel-based MLC, NN, and SVM three classification methods to identify scenic resources, and adopts the system sampling method evaluation 3 methods to identify the classification accuracy of scenic resources, effectively improving the objectivity and accuracy of classification accuracy evaluation. The results show that the three classification methods used in GF-2 images meet the accuracy requirements of scenic resource identification, which is an effective method to identify scenic resources. Due to different geomorphic features, the erosion Zhanggu landform-Baili Xia scenic areas uses MLC classification, and granite fracture structure The canyon landform-LongmenTianguan scenic areas uses NN classification, and the karst cave spring landform-Yugu Dong scenic areas uses SVM classification with the highest overall accuracy. The results show that the proposed method can be applied to the identification of large-scale, high-resolution scenic resources, and provide more refined data support for scenic resource analysis and sustainable development of local tourism.
Regional Competition and Sustainable Development of Tourism Industry in the Synthesis of Game Theory
Authors: Huawen Shen Jiajia Xu,
Published: August 2021

It is the premise and effective means to realize the sustainable development of rural tourism industry to understand and analyze the connotation of rural tourism correctly and to plan rural tourism reasonably. Grounded on the theoretical synthesis of rural tourism development and planning at home and abroad, this study combined game theory to analyze the environmental protection problems in rural tourism development as well as planning, the interest behavior and development among the core stakeholders of tourism community, to provide valuable guidance for rural tourism development and planning in Fujian Province.
Urban Rail Transit Running Hierarchized Simulation based on Timed Discrete Petri and Matlab under the Background of Industry 4.0
Authors: Zhang Yue
Published: August 2021

This paper, taking Changchun rail transit as an example, proposes a new method to simulate its running that is hierarchized simulation using timed discrete Petri and Simulink/Stateflow. Firstly, this paper uses the timed discrete Petri nets to build Changchun rail transit line 1-4 running model. And then, based on the timed discrete Petri nets model above, this paper also studies hierarchized simulation model by the tool of Simulink/Stateflow, which consists of two layers: the bottom layer is a single line model, and the top layer is a whole line model. In order to realize the rail transit running visualization, the tool of Matlab/App Designer is employed to design monitoring interface for Changchun rail transit line 1-4. This method is scalable and popularized.
Location and Capacity Manufacturing Calculation of Electric Vehicle Charging Station Based on Queuing Theory
Authors: Et al. Qian Qian Mao,
Published: August 2021

With the rapid development of industry and manufacturing, the world vigorously promotes green environmental protection, the construction of charging station is particularly important. It is urgent to study the location and capacity of charging station. In this paper, we will analyze the charging behavior of electric vehicles, and combined with the queuing theory model of electric vehicles, optimize the number of chargers by using the minimum objective function of the comprehensive cost of building charging stations. According to the maximum access power allowed by the distribution network, the service radius and scale of the target charging station are finally determined, and then 0-1 planning is used to finally determine the construction site. At the end, we give a specific example analysis to verify the effectiveness of the research results.
Risk Management in the Construction of Intelligent Transportation Platform Based on Artificial Intelligence
Authors: Di Hongxi
Published: August 2021

The smoothness of a city's traffic is one of the signs that measure the development of a city. With the advent of the era of artificial intelligence and big data, the previously bloated and blocked motor vehicle transportation system is increasingly unable to adapt to this fast-paced society. The use of artificial intelligence technology to build a brand-new intelligent transportation platform is imminent, and reasonable planning of the risks in the construction of the transportation platform can effectively increase the transmission rate and reduce the frequency of accidents. The purpose of this paper is to study the risk management in the construction of intelligent transportation platform based on artificial intelligence. This article first summarizes the basic theory of artificial intelligence, and then extends the core technology of artificial intelligence. And combined with the current situation of my country's contemporary intelligent transportation, analysis of the existing problems and shortcomings, on this basis, combined with artificial intelligence technology to research and analyze the risk management in the construction of intelligent transportation platform. This research systematically expounds the risk construction principles, model construction and risk response measures of the intelligent transportation platform. This paper uses field surveys, interviews and other research methods to research and investigate traffic risk management in a certain place. The experimental research shows that risk management in the construction of intelligent transportation platforms based on artificial intelligence has higher feasibility than traditional traffic management.
Electric Equipment Inspection on High Voltage Transmission Line Via Mobile Net-SSD
Authors: Et al. Wei Zhan,
Published: August 2021

Daily check and inspection of electrical utilities on the transmission line to find out faults or malfunction data and analyze, it’s to ensure normal state of electrical equipment really difficult in any situation. Machine-controlled inspections by like robots or drones for power transmission infrastructures is an indispensable way to assure the safety of power transmission. Targeted object detection and classification of the power transmission infrastructure is the prerequisite for automatic inspection. In our experiment we have create the dedicated datasets of the electric equipment on power transmission line for multi-object detection, including our data collection, prepossessing and annotation. This work has been done multiple experiments to solve our functional problem and compare novel state of art deep learning methods such as Faster R-CNN, Mask R-CNN, YOLO, and SSD with MobileNet is a base feature extractor, to realize the electric equipment on power transmission line detection. For Condition monitoringand diagnosis identification of the importance of electric equipment on the electric transfer line, in the proposed deep detection approach, the Single-Shot Multi-box Detector (SSD) is a powerful deepmeta-architecture. The results show that our method can automatically detect electric equipment on high voltage transfer defects more accurately and rapidly than lightweight network methods and traditional deep learning methods. Results shed new light on defect detection in actual in progressive scenarios. In our research the main goal to show the implementation of the object detection on electric equipment's inspections on high voltage electric transfer lines on drone video using MobileNet-SSD object detection and recognition.
Collaborative Filtering Method of Web Service Recommendation Based on Location Aware and Personalized
Authors: Ziman Li
Published: August 2021

With the rapid growth of the number of Web services, it is necessary to build an efficient web service recommendation system in the face of massive web services. In order to recommend high-quality services to users, the key problem is how to obtain the s value of Web services. This paper proposes a collaborative web service recommendation method based on location clustering. Firstly, users are clustered according to the autonomous system by using the correlation between QoS and user location. According to the clustering results, the system fills in the vacancy Qos value; Then, the vacancy Qos value is filled in in advance and the similarity between active users and each user is calculated. Based on this, to P-K algorithm is used to obtain the most similar Qos value to predict the unknown service for active users to complete the recommendation. The method proposed in this paper can effectively solve the problem of data sparsity and cold start of Web services. At the same time, a better balance between accuracy and coverage is obtained.
Research on Network Security Application Based on Deep Learning
Authors: Jianchao Zhao
Published: August 2021

Behind the rapid development of the Internet industry, Internet security has become a hidden danger. In recent years, the outstanding performance of deep learning in classification and behavior prediction based on massive data makes people begin to study how to use deep learning technology. Therefore, this paper attempts to apply deep learning to intrusion detection to learn and classify network attacks. Aiming at the nsl-kdd data set, this paper first uses the traditional classification methods and several different deep learning algorithms for learning classification. This paper deeply analyzes the correlation among data sets, algorithm characteristics and experimental classification results, and finds out the deep learning algorithm which is relatively good at. Then, a normalized coding algorithm is proposed. The experimental results show that the algorithm can improve the detection accuracy and reduce the false alarm rate.
Research and Design of P2P-SIP System Network Structure Based on JXTA
Authors: Dong Yu Wang  Fei,
Published: August 2021

The network structure of P2P-SIP system based on JXTA is one of the core technologies in industrial intelligent Internet.JXTA is an open peer-to-peer platform, which provides basic application services for building P2P network. This paper chooses JXTA development platform to build P2P network, and then constructs SIP soft terminal on it. Firstly, it introduces the background knowledge, related research, P2P network technology, JXTA technology and SIP protocol. Then, the feasibility of p2p sip system is analyzed, including the combination of P2P and sip, network structure and framework structure. Then the routing mechanism of JXTA is deeply studied, including distributed index of shared resources, limited range traversal, dynamic view of sink node and loose and consistent distributed hash table (DHT). At the same time, this paper proposes an improvement strategy to overcome the shortcomings of JXTA routing mechanism such as limited range traversal and loose consistent DHT, that is, introducing the chord ring of consistent hash algorithm in the aggregation network layer. Based on the in-depth study of JXTA structured network and SIP protocol, a P2P SIP system is designed and implemented. The experimental results show that the system can maintain normal SIP communication without maintaining the central server.
Design of College Evaluation System Based on Artificial Intelligence and Deep Learning Technology
Authors: Wang Peipei Jiang Yan,
Published: August 2021

Artificial intelligence and deep learning technology are important technologies widely used in manufacturing industry.With the help of performance appraisal system to comprehensively evaluate the performance of teachers is a good measure. Therefore, it is very necessary to develop a performance appraisal system for university teachers by using artificial intelligence technology. This paper first demonstrates the feasibility of the development of performance appraisal system, and scientifically divides the user roles. According to the business requirements, the core business process of the system is established, and the system architecture and functional modules are designed. At the same time, this paper establishes the conceptual model and logical model of database. Finally, SSH framework and extjs framework are used to realize the functions of the system. In this paper, the reliability, stability and security of the system are tested to ensure that the system meets the functional and non functional requirements. The operation results show that the system has stable functions, simple operation and convenient maintenance, and basically meets the needs of users at different levels.
Design of Picking Robot Manipulator Control System Based on Fuzzy Compensation RBF Neural Network
Authors: Qinghui Meng, Jie Yang Na Wang,
Published: August 2021

Industrial manipulator occupies a very important position in industrial production. The tracking control of its control system and joint trajectory has always been a research hotspot. But the manipulator is a multi input multi output system, which has the characteristics of nonlinearity and strong coupling. Radial basis function (RBF) neural network has high nonlinear mapping ability. In this paper, the structure characteristics, learning algorithm and application of RBF neural network in manipulator control are analyzed. In this paper, the nonlinear approximation property of RBF neural network is theoretically verified. This paper analyzes the basic structure of picking manipulator system in detail. At the same time, the Lagrange Euler method is used to deduce the dynamic equation of the two degree of freedom series manipulator, and the inertia characteristics, Coriolis force and centripetal force characteristics, heavy torque characteristics are analyzed. The nonlinear system model of manipulator based on S-function is established in MATLAB, and the dynamic model is transformed into the form of second-order differential equation to facilitate the introduction of the designed algorithm.
Research on Information Development of Innovation and Entrepreneurship Education for University Students Based on Wireless Communication
Authors: Yang Xin
Published: August 2021

Wireless communication and innovation and entrepreneurship education is undoubtedly one of the current hot issues in the field of human resource development and education. One emphasizes the change of educational technology, means and methods from the micro level; the other highlights the social significance of educational themes and contents from the macro level. Research on both aspects has entered the initial stage in China, and is still in the transition from conceptual analysis, origin exploration, and importance elaboration to the discussion of principles, methods and paths for the construction of the practical system, and remains at the level of academic discussion within the higher education system. At present, there is still a lack of industrialization models and platforms for applying theories to practice, as well as research and practice of applying new wireless communication technologies to the cultivation of innovative and entrepreneurial talents. Therefore, it is necessary to rely on the wireless communication platform, integrate big data technology, and make use of micro courses and MOOCs to break through the traditional cultivation mode of innovative and entrepreneurial talents in schools, and build a hybrid and intelligent enterprise-level learning management and talent management platform based on O2O. The platform can provide one-stop innovation and entrepreneurship education solutions for college students and young people, so as to promote the reform of innovation and entrepreneurship talent training mode in the mobile Internet era. It has a strong practical guiding significance for the research of wireless communication and innovation and entrepreneurship education.
Statistics of Dangerous Cargo Accidents during Highway Transportation
Authors: Et al. Xiao Li,
Published: August 2021

Research on present situation and trends of accidents takes an important role on prevention and control on dangerous cargo accidents during highway transportation. According to the current situation of highway transportation for dangerous cargo, the characteristics of highway transportation system for dangerous cargo are put forward. Statistical analysis of dangerous cargo in China from 2013 to 2019 related to characteristics and consequences are discussed in this study. The different time volatility, spatial distribution and accident consequence features are revealed. Results show that the dangerous cargo of highway transportation system presents a multiple spots, long lines, broad coverage, and high risk features. The annual scale of dangerous cargo accidents shows irregular ‘M’ distribution since 2013. December is the month with the most accidents. Wednesday is the day with the most accidents. Fifth period is the most accidents. Shandong is the province with the most accidents. Normal section is the section with the most accidents. The liquid is the type with the most accidents. Leakage is the most common type of accident. Countermeasures focusing on improving highway transportation safety for dangerous cargo accidents are recommended.
Strategic Change and the Improvement of Organizational Performance: A Study Based On Meta-Analysis
Authors: Et al. Junjie Wu,
Published: August 2021

Objectives: In order to explore the factors that lead to the difference of outcome between strategic change and organizational performance.Methods: This paper takes the correlation coefficient between strategic change and organizational performance as the effect value, and conducts Meta integration analysis and Meta regression analysis on 23 important literatures involving 7225 enterprise samples from 2008 to 2018.Results: Firstly, the meta-integration method is used to estimate the overall results of existing empirical studies. The results show that strategic change is significantly positively correlated with organizational performance. Second, there are too many moderating factors that lead to different conclusions of research on strategic change-organizational performance. Therefore, Meta regression method is used to explore the impact of 10 moderating factors on the relationship between the two. First, positive strategic change has a better moderating effect; Second, compared with small and medium-sized enterprises, the performance of strategic change of large-scale enterprises is better; Third, the more recent the year of publication, the less supportive the relationship between strategic change and organizational performance; Fourth, there is no significant difference between data types and the relationship between strategic change and organizational performance, but data time span has a significant negative moderating effect.Conclusions: This study shows that the quantitative literature study of meta analysis not only helps to resolve the existing theoretical disputes, but also helps to explore new theoretical studies in the context of COVID-19 epidemic in the future, meanwhile, it also provides a novel framework for quantitative literature analysis.
Planning and Brand Communication for Ice-snow Sports Tourism Products in the Arctic Village of Mohe County
Authors: Xiaoguo Chang Wei Gao,
Published: August 2021

Locating in the northernmost region of China, the Arctic Village of Mohe County is enlisted as one of the most charming tourist attractions of China for the unique resources and landscapes, such as “northernmost location”, magical astronomical phenomena and arctic ice-snow. However, it failed to explore domestic and foreign markets yet due to the poor promotion of government, thus resulting in the low consumer brand recognition. Combining with existing tourism resources in the Arctic Village, this study proposed an appropriate product planning based on the national promotion of “ice-snow tourism”. Meanwhile, great efforts were made to the propagation and publicity of the brand to improve brand influence of the Arctic Village. The ice-snow resources in surrounding region were integrated to promote the tourism development in the whole Heilongjiang Province.
Teacher Knowledge and Skill for Gifted and Talented Education
Authors: Et al. Songzhu Mei
Published: August 2021

The gifted and talented education is one of national strategic projects, and the teachers of gifted and talented education are the core elements of gifted and talented education, which determine the quality of gifted and talented education. Exploring and analyzing professional development, the knowledge and skills in the new period from such ten aspects as theoretical basis, teaching characteristics, individual differences, learning strategy, learning environment,language and communication, teaching plan, talent evaluation, professional ethics, multi-dimensionalcooperation, we can draw an enlightenment that the developing quality of teachers of gifted and talented education can be raised by legislation, policy, planning, resources, guarantee, project and localization, which also provide solid support of manpower and intelligence for gifted and talented education.
The Influence of Industrial Industry Structure Change on Chinese Education Structure
Authors: Et al. Jiajia Yu
Published: August 2021

With the continuous development of economic globalization, changes in the industrial structure have become an indispensable material basis in the current process of social and economic changes. Optimize and develop the internal structure of each industry, especially industrial industry,and use the functional expansion of the industrial structure as a transformation model to promote the educational structure, thereby realizing the upgrading of the economic development industry.
The Framework, Development Pattern and Promotion Path of Intelligent Agricultural Technology: Chinese experience
Authors: Rui Zhao, Yacheng Xiao Yiji Yue,
Published: August 2021

Chinese government has always paid great attention to the problems of agriculture, rural areas and farmers. For example, Chinese government clearly proposed to develop the rural digital economy and promote the digital transformation of agriculture in 2019. Besides, try to speed up the promotion of the application of cloud computing, big data, the Internet of things and artificial intelligence in agricultural production and management so as to create intelligent agriculture. This paper intends to analyze the development pattern of intelligent agriculture in China, and puts forward the promotion strategy of intelligent agriculture for reference by starting from the definition and technical framework of intelligent agriculture.
The Construction of National Value Chain and the Upgrading of China's Sporting Goods Manufacturing Industry Cluster under the Background of Globalization
Authors: Geng Cong Fan Teng,
Published: August 2021

By using methods of literature, comparative analysis and logic analysis, this paper studies the obstacles and constraints faced by the value chain leaders in the process of functional upgrading of China's sporting goods manufacturing industry cluster under the global value chain environment. The upgrading practice of foreign industrial clusters shows that domestic enterprises can rely on the familiar local market and cultural background to form a strong national value chain (NVC), occupy the high-end links of the value chain, have domestic well-known brands, sales channels and other high-end links in the value chain, and then develop and spread gradually, occupy foreign markets with similar demand, establish a national value chain dominated by local companies as the "chain master", and finally, enter the European and American markets to establish a balanced value chain parallel to the dominance of international giants such as ADIDAS and NIKE, break through the status of being "captured" and "squeezed", and realize product functional upgrades.
Research on the Impact of Social Responsibility of Tourism Listed Companies on Their Business Performance
Authors: Li Xiaolin
Published: August 2021

In the process of tourism development, there are some problems that can not be ignored, such as the destruction of natural environment by scenic spot development, unfair competition in the industry, and infringement of employees' rights and interests by enterprises, which directly restrict the development of tourism industry. The issue of tourism corporate social responsibility has been in the sight of global scholars and practitioners. First of all, this paper will study and analyze the relevant theories made so far by scholars and practitioners at home and abroad, to understand the research status of social responsibility of tourism listed companies at home and abroad, as well as the status quo of corporate social responsibility. Secondly, this paper selects 23 domestic tourism listed companies to collect the panel data of their social responsibility reports from 2014 to 2018, and makes an empirical analysis on the sorted panel data through the statistical software Eviews, so as to explore the impact of social responsibility of tourism listed companies on their business performance, And draw the conclusion that tourism listed companies' business responsibility has a positive impact on their business performance, but there is a certain lag in this impact. Based on the research, this paper puts forward some feasible suggestions for tourism enterprises to take the initiative to undertake social responsibility, hoping to provide some help to scholars in related fields and practitioners in enterprises.
Evaluation of Tourism Industry Efficiency in Pearl River Delta and its Influencing Factors in the Context of Happiness Industry
Authors: Wenshi Liang, Yanhong Liu Jun Yuan,
Published: August 2021

In the context of happiness industry, this paper constructs the input-output index system of tourism industry efficiency, uses DEA model and Malmquist model to measure the tourism industry efficiency and its temporal-spatial evolution of nine cities in Pearl River Delta from 2010 to 2016, and uses Grey relational model to analyze the influencing factors.The results show that, the overall tourism industry efficiency in Pearl River Delta reaches a relatively high level; the overall efficiency and technical efficiency showed a descending trend from inside out with the Pearl River Estuary economic circle as the core. The scale efficiency of tourism industry in Pearl River Delta showed a good trend, and the tourism elements input could satisfy the livelihood needs to a great extent. The total factor productivity of most cities in Pearl River Delta shows a growing trend, but the change trend differs in different areas. Impact of influencing factors of tourism industry efficiency differs in cities of different development degree and the impact of social benefit and environmental benefit indicators on tourism industry efficiency increases significantly. Based on the construction of happiness industry, cities in Pearl River Delta should take effective measures to improve the tourism industry efficiency.
Improving the Diffusion of Lithium and Enhancing the Electrochemical Performance of Layered Li1.2Mn0.54Ni0.13Co0.13O2 Cathode by YPO4 Coating
Authors: Et al. Hongyu Wang
Published: August 2021

Because of its high energy density, the manganese-rich lithium layered material is a potential cathode material for power batteries. In order to effectively strengthen the comprehensive performance of lithium-rich layered material, different amounts of YPO4 compounds were used to wet chemically coat the cathode materials. The LMNCO, 0.5-YPO4, 1.0-YO4 and 3.0-YPO4 cathode materials are tested by XRD, SEM, TEM, XPS, constant current charge and discharge test, and EIS. Facts show that the positive electrode material coated with YPO4 has better cycle performance and rate performance. The 1.0-YPO4 sample material has the best performance. After 50 cycles of 0.5 C, its discharge capacity can still be as high as 207.4 mAhg-1.The comprehensive performance of the cathode material is improved after being coated with YPO4, which is owing to the coating of YPO4. The YPO4 layer weakens the electron transfer resistance, and suppress the phase transformation of the Electrode material and the formation of the SEI film.
The Auxiliary Effect of Different Bacterial Groups on the Degradation of Organic Matter in Refinery Wastewater by Bacillus Licheniformis
Authors: Yue Jiao, Xiao Li Wen Yong Chen,
Published: August 2021

In this paper, the biodegradation of organic compounds in refinery wastewater was studied. Different microbial communities suitable for the treatment of refinery wastewater were selected to degrade the pretreated wastewater. The results showed that the degradation efficiency of COD and ammonia nitrogen was 59.4% and 56.7% respectively; the degradation efficiency of COD and ammonia nitrogen was 50.2% and 60.6% respectively. It can be used as the dominant bacteria for further domestication and cultivation of petrochemical wastewater biological treatment.
The Idea of the Perfect Person in the Views of Middle Eastern Thinkers
Authors: Shakhnoza Saidmatlabovna Agzamkhodzhaeva
Published: August 2021

In the works of medieval oriental thinkers Abu Nasr Farobi, Alisher Navoi, Mahmud Asad Joshon, Boyazid Bistomi, Ibn al-Arabi, Aziziddin Muhammad Nasafi, Abdukadir Jili, Abdulkadir Gilloni, Hazrat Alikulov, Ibrahdandura Ibrahdultansky People have dreamed for centuries to raise the perfect person. Representations and ideas about him in different periods were interpreted in different ways. The evolution and improvement of the idea of ​​perfection depended on the nature of the system, the level of production, the method of government, the development of science and culture.
Grasp the Historical Opportunity of Ecological Civilization and Write a new Chapter in Rural Vitalization Based on the background of industry 4.0 —In the view of investigation and research of seven villages in Hunan, Jiangxi, Hubei, Guangdong, Shandong, J
Authors: Et al. Hao Fang,
Published: August 2021

Since the 18th National Congress of the Communist Party of China, our country has attached great importance to the construction of ecological civilization and promote socialism with Chinese characteristics into a new era of ecological civilization that pursuits green production methods and lifestyles. The historical opportunity of ecological civilization enables the rural areas to realize endogenous development with unique ecological advantages as the starting point. On the basis of being close to nature, conforming to nature, and protecting nature, green development leads rural revitalization, develops ecological economy, and realizes harmonization of economic benefits, social benefits and ecological benefits, allowing the beautiful picture of "Beautiful China" to be painted on the field of hope in the rural areas, thus writing a new chapter in the rural vitalization in the new era based on the background of industry 4.0.
A Novel Spatial Image Steganalyzer with Adaptive Channel Attention
Authors: Chaoyang Zhu Fan Nie,
Published: August 2021

For imagesteganalysis, many studies have showed that the superiority of the convolutional neural network overconventional methods based on artificially designed features. Withthe trend of the fusion of traditional steganalysis methodsand some tricks used in classic computer vision tasks, such asSRNet equipped with residual modules and ZhuNet which usedspatial pyramid pooling, more and more CNN architecturesused for steganalysis are proposed. However, there still are somecharacteristics in most content-adaptive steganographic algorithms such as S-UNIWARD, HUGO, WOW, and tricks in designing network structure whichcan be used for steganalysis. Here, we propose a CNN network framework which can further improve theperformance of spatial imagesteganographic algorithms. First, we utilizemore SRM kernels to initialize the pre-processing layer than previous CNNs, and usean image padding method different from traditional modelsto preserve the integrity of image residuals as much as possible. Next, we use multiple channel attention layers which aim to discriminate the more informational features boosting the detection accuracy of network. Then, we deploy the spatial pyramid poolinglayer before features are fed into the fully-connected layers, aiming to extract more features from the last feature mapsin several scales. Several experiments under different steganographic algorithms show that, the proposed CNN outperforms the other CNN-based steganalyzerssuch as YeNet, XuNet, YedroudjNet,SRNet and ZhuNet.
Study on Evaluation Index of Business Environment from the Perspective of Private Manufacture Enterprises
Authors: Ke Li Cai Liu,
Published: August 2021

This paper draws on the research results of the World Bank and domestic and foreign scholars on the business environment and analyzes the development process of private manufacture enterprises in today's society. This paper summarizes the factors that affect the development of business environment and puts forward the evaluation index of business environment from the perspective of private manufacture enterprises.
Management ofCommunication System in Pipeline IndustryBased on OLP Technology
Authors: Xin-Rong Qin Yu-Bao Ma,
Published: August 2021

In order to effectively improve the fault self-healing ability of pipeline communication system and reduce the events of communication interruption caused by fiber break or performance degradation of optical line, this paper introduces the basic principle, system composition working mode and technical requirements of OLP technology. The OLP system is firstly introduced into the relay section of long-distance pipeline to build the standby route with the spare optical fiber as material. When the in-service route is broken or the performance of optical fiber is reduced, the OLP system can automatically switch to the standby route within 50 ms to ensure the communication transmission service be uninterrupted, and even no error code alarm. Through engineering test in pipeline industry, the operability of OLP technology applied to the pipeline communication system is verified. Using the real-time monitoring data of optical cable through OLP system, we can analyze the evolution trend of optical cable line quality, precontrol in advance, and improve the level of communication management.
Earthquake activity in the greater New York City area: Magnitudes, seismicity, and geologic structures
Authors: Kafka Alan L. , Schlesinger-Miller Ellyn A. , Barstow Noel L.
Published: August 2021

Earthquakes recorded by stations of the Lamont-Doherty seismic network in the greater New York City area are analyzed to determine magnitudes and the relationship between seismicity and geologic structures. Between 1974 and 1983, the configuration of stations in this region remained relatively stationary and the type of recording devices (visual drum recorders and 16-mm photographic recorders) did not change. This distribution of stations and recording devices allows for a uniform measurement of magnitudes and seismicity. Magnitudes of these earthquakes are determined by comparing amplitudes and signal duration measured from high-frequency (5 to 10 Hz) data recorded by the local network with mbLg and ML determined from data at frequencies near 1 Hz. During the period of time studied (nearly 10 yr), 61 earthquakes were located in this region, but none of these earthquakes exceeded 3.0 on the mbLg scale. The largest event (mbLg = 3.0) occurred in the Coastal Plain province of northern New Jersey.

The magnitude threshold for uniform detection of events throughout this region during the period of time studied is estimated to be mbLg = 1.6. With events below this threshold removed from the catalog of network seismicity, we find that about half of the earthquakes studied occurred within 10 km of the Ramapo fault system. This fault system lies about 30 km northwest of New York City and has been interpreted by several investigators to be the most active fault system in the greater New York City area. However, earthquakes at least as large as those recorded near the Ramapo fault were located as far as 50 km from this fault (and within 20 km of New York City), in geologic structures that surround the Newark basin. While the Ramapo fault can by no means be ruled out as a possible source zone for earthquakes in the greater New York City area, the geologic structures associated with most (if not all) earthquakes in this region are still unknown. Thus, the cause of earthquakes in this region remains an enigma.
Improving Some Properties Of Cow and Goat Mixed Milk Based Kefir With Inulin Addition as a Functional Food
Authors: İRKİN Reyhan , BERKKAÇAN Emmun Gamze
Published: August 2021

The purpose of this study was to research some properties of kefir that was obtained from the 1% (w/v) and 2% (w/v) inulin addition to cow-goat milk mixture. At this study, changes of titrable acidity, pH value, total mesophilic aerobic bacteria, Lactobacillus spp., Lactococcus spp. and yeast counts of samples in storage were determined. Also, samples’ total fat content, total solid and viscosity values were reported. Taste, consistency and total acceptance of samples were evaluated. Control group, 1% (w/v) and 2% (w/v) inulin added samples’ total solid and fat content, viscosity, pH and titrable acidity (equivalent to lactic acid %) values were investigated and found at the range of; 11.84 – 13.53, 4.4 – 4.8, 365.8 – 488.7, 4.45 – 4.53, 0.80 – 0.84 respectively. At the 40th day of the storage total logarithmic numbers of total mesophilic aerobic bacteria 10.50-10.55, Lactobacillus spp. 10.24-10.58, Lactococcus spp. 10.25-10.58 and yeasts 7.60-7.93 log cfu ml-1 were determined.
Türkiye'nin Güneydoğusunda Yetişen Bazı Kırmızı Mercimek ve Nohut Çeşitlerinin Mineral Bileşimi
Authors: DÜZGÜN Mehmet , DÜZ Mzahir , KOÇ Murat , ERDEMCİ İrfan
Published: August 2021

Legumes such as red lentil and chickpeas are the most important products in our region also has a structure rich in mineral substance. However, very little work has been done in this area in our region. In this study, contents of mineral elements such as K, Ca, Mg, Zn, Fe, Cu, Cd, Pb, Cr, As, Se, V, Sn, Mn, Si and Ni were determined by inductively coupled plasma optic emission spectrometry (ICP-OES) method in registered six red lentil and two chickpea cultivars by GAP International Agricultural Research and Training Center (GAPUTAEM). In addition, the determination of the element concentrations of the species and the comparison of the element amounts in lentils and chickpeas were also evaluated. Element concentrations in lentil varieties are listed in descending order as follows K> Mg> Ca> Fe> Si> Zn> Sn> Mn> Cu> Ni> Cr> Se> V> Cd> Pb> As, while in chickpea cultivars are; K> Ca> Mg> Fe> Zn> Si> Mn> Sn> Cu> Ni> V> Cr> Se> Pb> Cd> As has been in the form. In the study were found that registred lentils and chichpeas varieties to be rich in terms of potassium element. On the other hand in the chickpeas cultivars calcium content is higher than lentils types.In addition, toxic heavy metals Cd, Pb and As concentrations were determined to be below the limit values. The results showed us that legumes are very important mineral resources. Lentils and chickpeas are very similar in terms of macro and micro element contents.Additionally, it was observed that they had a nutritionally safe mineral structure.
Reyhan Bitkisinin (Ocimum basilicum L.) Adventif Kök Kültürlerinde Rosmarinik Asit Üretim Olanaklarının ve Antioksidan Kapasitenin Araştırılması
Authors: KARATAŞ İlhami
Published: August 2021

Bitki doku ve organ kültürleri rosmarinik asit gibi değerli sekonder metabolitlerin üretimi için önemli biyoteknolojik yöntemlerdir. Bu çalışmada, reyhan bitkisinin (Ocimum basilicum L.) adventif kök süspansiyon ve katı kültürlerinde rosmarinik asit üretim olanakları, toplan fenolik ve flavonoid içerikleri ve antioksidan kapasitenin belirlenmesi amaçlanmıştır. Adventif kök katı kültürlerin oluşturulmasında in vitro koşullarda yetiştirilen 30 günlük bitkilerin hipokotil kısımları eksplant kaynağı olarak kullanılmıştır. Eksplantlar 3.3 g L-1 MS (Murashige ve Skoog), 30 g L-1 sukroz ve 2 g L-1 phytagel ve 2 mg L-1 indol-3-bütirik asit içeren besin ortamında karanlık koşullarda kültüre alınmıştır. Bu ortamda gelişen adventif kökler süspansiyon kültürlerinin oluşturulmasında kullanılmıştır. Süspansiyon kültürünün 10, 20 ve 30. günlerinde adventif kökler hasat edilerek analizler yapılmıştır. Adventif köklerin rosmarinik asit içeriği HPLC cihazıyla analiz edilmiştir. Antioksidan kapasiteleri katyon radikali giderme (ABTS), indirgeme gücü (FRAP) ve serbest radikal giderme (DPPH) metotları ile belirlenmiştir. Rosmarinik asit içeriği en yüksek adventif kök süspansiyon kültürünün 30. gününde 32.38 mg g-1 olarak belirlenmiştir. En yüksek toplam fenolik bileşik içeriği süspansiyon kültürünün 20. gününde 32.94 mg GAE g-1 olarak belirlenmiştir. DPPH, ABTS ve FRAP aktivitesi en yüksek süspansiyon kültürünün 30. gününde belirlenmiştir. Sonuç olarak reyhan bitkisinin süspansiyon kültüründen elde edilen adventif köklerin rosmarinik asit üretimi için uygun materyaller olduğu düşünülmektedir.
The Relationship Between Organizational Culture and Police Officer Wellbeing
Authors: Patterson Silas
Published: August 2021

This thesis examines the relationship between organizational culture and police officer well-being, using an empirical examination of one agency. Culture is important in law enforcement. Previous studies on police culture have typically sought to understand the effect of culture on officer behaviors. This thesis takes a different approach by examining the effects of culture on individual officer well-being. The results of this study indicates that culture is related to well-being, along certain dimensions. Cultural attitudes towards an organization’s administration and the citizens officers interact with are shown to be consistent predictors of well-being. The results of this study provide implications for future research along with police organizational policy.
Community Food
Authors: Leacox Evan
Published: August 2021

The COVID-19 pandemic of 2020 revealed vulnerabilities in industrial food systems, particularly in relation to food security. In this thesis I explore small-scale, local, and ecologically sustainable forms of agriculture (Small Ag) that are frequently presented as options enabling communities to achieve increased food security. This concept of Small Ag deserves closer investigation. This thesis describes an ethnographic pilot study of Small Ag I conducted in Boise, Idaho during the 2020 pandemic. Using remote digital research methods to conduct surveys and interviews, I investigated the beliefs, motivations, and behaviors of participants in Small Ag. I sought to answer basic questions: What does Small Ag look like as a food production system? How do individuals become involved in Small Ag? Why do they persist? What sustains a vibrant local community of participants? I learned that participants in Small Ag emphasize self-reliance and informality. While these ideals are not inherently bad, they can become barriers limiting the coordination of Small Ag as a more widely applicable food system. Increased coordination is needed to grow Small Ag as a resilient community-level food system. My research suggests that when third-party facilitators help coordinate and organize collaborations between the many aspects of Small Ag, the possibility for broader community-level engagement with local foods increases. Future research should focus on understanding how such facilitation might be strengthened.
3D Printable and Computational Models of the Bone Marrow Mechanical Environment
Authors: Regner Alexander
Published: August 2021

Aged individuals and astronauts experience bone loss despite rigorous physical activity.
Bone mechanoresponse is in part regulated by mesenchymal stem cells (MSCs). We reported that
daily low intensity vibration (LIV) restores MSC proliferation in senescence and simulated
microgravity models, suggesting reduced mechanical signal delivery to MSCs likely contributes
to declining bone mechanoresponse. To this end, we have developed a 3D bone marrow analog which
controls trabecular geometry, marrow mechanics and external stimuli.

Finite element (FE) models of hydrogels, representing bone marrow, were generated using
instantaneous compression (1000% strain/s, 20% strain) and relaxation experiments (100s) of
both gelatin and hyaluronin-based hydrogels. Experimental and in silico vibration experiments
using molded-gelatin wells (widths= 4 , 5, 6 and 8 mm) were performed under 1g acceleration,
100 Hz for FE model calibration.

For MSC experiments, 0.25cmgyroid-based trabeculae of bone volume fractions (BV/TV)
corresponding to adult (25%) and aged (13%) mice were printed using polylactic acid. MSCs
encapsulated (1x106 cells/mL) in migration-permissive hydrogelswithin [sic] printed trabeculae
were exposed to LIV (1g, 100 Hz, 1 hour/day). After 14 days, type-I collagen, Ki-67, f-actin
(n=3/grp) were quantified for extracellular matrix composition, proliferation, and morphology
and grouped with respect to the maximum von Mises strain for 13.5% and 25% BV/TV scaffolds using
the calibrated FE models.