bluuebunny/crossref_metadata_2025 huggingface dataset:
Numerical study on thermal management of battery based on PCM/micro-channel cooling
Authors: Zhao L J , Tong Y X , Yang N , Wang J F
Published: July 2020

In recent years, the development of electric vehicles has made remarkable achievements. Its popularization and application can alleviate the problem of energy shortage and environmental pollution to some extent. In the process of discharging, the battery will generate heat. If the heat cannot be transferred to the external environment in time, the normal operation of the battery will be affected. In this paper, a BTM system based on PCM/micro-channel cooling is designed, and its cooling effect on battery module is studied by numerical simulation. The electrochemical-thermal coupling model is established to study the heat production and temperature changes of the battery during discharging. The cooling effect of the flow rate at the inlet of the cooling plate and the thickness of PCM on the battery module is studied. The results show that the BTM system can not only reduce the maximum temperature of the battery module, but also effectively improve the temperature inhomogeneity among the batteries.
Synthesis of Biodiesel Catalyzed by Phosphotungstic Acid Supported on Silica
Authors: Yang Hongxiong , Chen Junshu
Published: July 2020

Using tetraethyl orthosilicate as silicon source, silica supported phosphotungstic acid catalyst was prepared by sol-gel method, and then biodiesel was synthesized from Vegetable oil and methanol with self-made solid acid as catalyst. Through the temperature, time, dosage, use times and other factors. The optimal conditions for conversion were found to be 40% phosphotungstic acid loading. 6: 1 ratio of alcohol to oil, the catalyst dosage is 10% of the rapeseed oil mass, and the reaction temperature was set at 68°C and the reaction time was 2.5h. Under these conditions, the conversion rate of biodiesel can reach 96.0%.
Brief Discussion on Energy Saving of Building Sanitary Ceramic Kiln
Authors: Zhang Fan , Liu Shanyu , Wang Kaifang , Li Kejing , Shang Bei , Quan Rui
Published: July 2020

Since the 11th five-year plan, “energy conservation, consumption reduction and green upgrading” has gradually become the theme of China’s industrial ecological civilization construction. “High energy consumption, high emission, high pollution” building sanitary ceramics industry as a typical traditional industry, has been regarded as the key object of energy conservation and consumption reduction. Among them, furnace energy consumption accounts for more than 60% of ceramic production, so “furnace energy saving” is regarded as the “top priority” of energy saving. Furnace energy saving is a system of energy saving. Therefore, the factor of energy saved has included that construction materials, furnace structure, combustion technology, waste heat utilization, air surplus coefficient and automatic control. Based on the above influencing factors, this paper carries out research on furnace energy conservation, providing technical guidance for enterprises to save energy and reduce consumption, and helping the industry to transform and upgrade.
Energy storage development trends and key issues for future energy system modeling
Authors: Xu Zhicheng , Zhang Fuqiang , Zhang Mingyang , Wang Peng
Published: July 2020

In the future, the penetration rate of new energy in the energy system will continue to increase. To improve the safe and stable operation of the energy system, energy storage and other equipment will become indispensable measures. How to consider new energy and energy storage in conventional energy system modeling is a key issue facing future energy systems. This paper focuses on the trend of energy storage in the future based on the current status of energy storage and analyzes possible key issues to provide ideas for the modeling of subsequent energy systems.
Operation Mode and Value Evaluation System of Integrated Energy System in the Park
Authors: Wu Kuihua , Wang Yanshuo , Qi Lujie , Liu Rui , Liu Dunnan , Zhang Yue
Published: July 2020

The integrated energy system, which covers the coordinated and unified supply of electricity, heat, cold, gas and other forms of energy, is the key technology to promote the clean and low-carbon transformation of energy. By studying the structure of integrated energy system, this paper analyses the three operation modes of integrated energy system project EPC, BT and BOT based on service mechanism, and clarifies the physical form and value transfer relationship between the subjects in the life cycle of integrated energy system. From the two dimensions of exogenous value and endogenous value, this paper analyses the main value evaluation indexes of the integrated energy system on the grid side, the system itself and the user side.
Exploration and Development Technology of Shale Oil and Gas in the World: Progress, Impact, and Implication
Authors: Qian Xuming , Zhang Jieying
Published: July 2020

Shale oil and gas resources in the worldwide are mainly distributed in the United States, Canada and other countries. Thanks to the continuous progress of shale oil and gas development technology, the upsurge of shale oil development started after the shale gas revolution in the United States. At the same time, the United States has introduced supporting policies and measures related to shale oil development, which have promoted the economic and efficient development of shale oil and gas. Taken as a whole, the successful commercial development of shale gas and oil in the United States is profoundly changing the world’s energy and political landscape, and some of the initiatives of the shale gas revolution have profound implications for China and other countries.
Index System Establishment for Ship Scheme Demonstration of Self-Propelled Semi-Submersible Repair Ship
Authors: Gong Yanan , Zhang Heng , Xu Chengzhen , Sang Huiyun , Chen Jing
Published: July 2020

The index system for ship scheme demonstration as the decision did not receive enough attention. Based on research status for the ship scheme demonstration index system and characters of the new ship, this paper puts forward a ship scheme demonstration index system for new type self-propelled semi-submersible repair ship according to the relative research and the systematic research by the authors. The reasons for indexes being selected or omitted are analysed and illustrated.
Development of Turbulent Agglomeration Devices
Authors: Zhang Weikuo , Xu Bo , Li Zonghui
Published: July 2020

The capture rate of ultra-fine particles emitted by the coal-fired power plant is low, which is easy to enter the human body, and it is very harmful. The capture of ultra-fine particles will be the focus and difficulty in the development of dust removal technology. Turbulent agglomeration technology is a simple, economic and efficient method. This paper introduces the research and development process of turbulent agglomeration devices, and provides references for understanding the turbulent agglomeration technology of ultra-fine particles.
Research on Competitiveness Evaluation of Major Inland Ports in China
Authors: Tang Siyuan , Zhang Jianbao , Du Linan
Published: July 2020

This paper constructs the competitiveness evaluation model and indicator system of inland port from three aspects of infrastructure, production capacity and development environment. The competitiveness of 31 major ports in the four river systems is measured by analytic hierarchy process and correlation coefficient method. According to the competitiveness evaluation results, K-means clustering analysis is carried out for inland ports by SPSS software. The results show that the competitiveness of inland ports in China is relatively low, and there is a significant gap between the competitiveness of ports in the same river system and different river systems. Each port has its own competitive sources. Highlighting the development advantages of each port and making up for the shortcomings will help to improve the efficiency of port resource allocation. At the same time, suggestions are put forward to improve the competitiveness of inland ports.
Tmall Recycling Logistics Solution Research
Authors: Yue Lulu , Hao Wen , Zhang Dehui , Han Qinbing , Liu Guoliang , Zhu Haitao
Published: July 2020

In the online shopping process, because users only rely on pictures and text description to make the purchase decision, it is easy to have impulsive consumption or purchase goods that are not suitable for them. In the process of online shopping logistics, due to improper packaging and handling, it will cause damage to the goods. In addition, the inevitable product production process, the improvement of consumers’ awareness of rights protection and other factors all contribute to the reverse logistics of tmall mall shopping. This paper analyzes the advantages of reverse logistics, the general process of recycling logistics, the present situation and existing problems of Tmall return logistics, and the optimization scheme of reverse logistics based on the joint recovery mode is proposed. Finally, the feasibility of the scheme is analyzed.
Research on the Application of Internet-based Technology in Integrated Meteorological Services
Authors: Liu Yueyang , Li Aofeng , Feng Shicheng
Published: July 2020

With the continuous development of information technology, the rapid progress of the Internet and computer technology, the life of the public has become convenient, fast, intelligent. A lot of computer software has gradually penetrated into people’s work and life, playing an important role in every field. Similarly, Internet technology also plays a very important role in meteorological services, making a great contribution to the improvement of information processing efficiency in the integrated services of meteorological departments. To a certain extent, the application of Internet in meteorological services improves the quality of comprehensive meteorological services. This paper discusses the current situation of the integrated meteorological service, analyzes how the Internet should be applied in the integrated meteorological service and the requirements for its use, looks forward to the future, and considers the application effect of the Internet in the integrated meteorological service in the future
Application of global satellite navigation system and telemetry image analysis technology to assess activity of potential large-scale landslide in forest land area – a case study on Taoyuan district no. D346, Kaohsiung city
Authors: Shi Bao-Chen , Hsu Chun-Li , Liang Chou-Fu
Published: July 2020

The investigation, monitoring, and prevention of large-scale landslides, also known as deep seated landslides, are important research topics for slope disaster prevention. Some national forest land managed by the Forestry Bureau is located at the upstream watershed area, which has relatively unstable geological and topographical factors, and there are major large-scale landslides. However, those areas with protected objects are still the priority for investigation, governance, and management. There are 14 large-scale landslides with high and moderate risk located in the region of the Pingtung Forest District Management Office. For the implementation of future disaster prevention practices, the most important thing is to evaluate the activities of the large-scale landslides. This study takes Kaohsiung City-Taoyuan District-D346 as an example. The scars/linear structures in the potential area of a large-scale landslide are identified using high resolution LiDAR DEM. On-site global satellite navigation system monitoring and multi-sequence telemetry images are conducted to understand the activity and sliding direction of the block, meaning that the surface activity of the potential large-scale landslide area can be monitored. There are number of mature technological developments recently. Compared with the funding for underground geological exploration and subsequent project management, the funding for surface activity assessments with multiple telemetry images and monitoring equipment is relatively simple, after checking the activity of the large-scale landslide, the high resolution of LiDAR DEM, aerial photography and satellite images are the perfect tools to be applied before the follow-up key treatment and management funds are invested.
A Method of Generating Engineering Test Sequence for Urban Rail Transit CBTC System Based on Formalization
Authors: Si Xinyue , Kuang Wenzhen , Li Qiang
Published: July 2020

In recent years, with the rapid development of urban rail transit, Communication Based Train Control system is very important to improve the operation efficiency and ensure the traffic safety. Before urban rail transit lines are put into operation, they need to be tested strictly. In view of the lack of unified test standards, specifications and low test efficiency, a formal test sequence generation method for CBTC system is proposed. Firstly, the test line is divided into several test segments; secondly, analyze the constraint conditions of test cases and get the expression of constraint relationship of test cases; thirdly, analyze the characteristic quantity that can represent the line characteristics, and get the line characteristic expression; and then match test cases with test segments using matching algorithm; finally, concatenate test cases into test sequences using the concatenation algorithm. The results show that the test sequences generated by this method meets the test requirements of CBTC system. The test sequences cover all test cases. And the method can effectively improve the test efficiency.
Information System of Quality Control in Construction Process of Highway Mechanical and Electrical System
Authors: Zhu Liwei , Li Jianping , Wang Liqing
Published: July 2020

In order to improve the quality in construction process of Highway Mechanical and Electrical System (HMES), the construction process of HMES in China is firstly introduced, and subsequently the quality problems and its causing factors are analysed. Based on the analysis results, the function of Information System of Quality Control in Construction Process of HMES (ISQCCP-HMES) is designed and the framework of ISQCCP-HMES which includes the access layer, display layer, application layer, support layer and basic layer is proposed. The application of the proposed ISQCCP-HMES shows that the quality control efficiency of HMES is improved and the quality control burden of HMES is also reduced.
Innovative Prestressed Support System applied to the Excavation
Authors: Qiang Zhang
Published: July 2020

A new kind of work method, Innovative Prestressed Support System, or IPS is based on the prestressed beams from the belly of the fish, a gusset, column, bar, beam, triangular contacts and other standard components combination, which is constituted by prestressing effective support system and three-dimensional plane prestressed support structure. IPS engineering methods to improve the rigidity and stability of the entire excavation system can precisely control lateral displacement control pit deformation. This paper introduces the principle and process Lenticular Beam Prestressed instrumental combination support system, combined with the actual project case study on a subway line network operation and management command center excavation detailed description of the specific operating points and difficulty of the construction method, bit similar projects for reference.
Deformation law and control of highway subgrade in Goaf residual deformation
Authors: Jia Xinguo , Wu Zuoqi , Chen Qingtong
Published: July 2020

Based on the geological conditions of Liuzhuangzi mining area, the influence of the depth of burial in different goaf areas on the overburden and the ground deformation of the expressway is studied. The conclusion is drawn that the influence of different mining depth on the deformation and settlement of surface roadbed In the same way, the mined-out area is divided into three parts for excavation. The shape of the affected area of the goaf is mainly centrally symmetrical, and the mined-out area formed after each step The stress and sedimentation are the largest in the mined-out area, which is smaller and smaller from the mined-out area and forcing the large area of the rock to sink, and the bottom plate is generated. Small up the uplift, in the third step after the excavation of 15000 steps not only the bottom plate upwards uplift, and the roof slump, the maximum settlement in the roof in the first step mining only 7.12mm, the second step to achieve mining 17.98mm, while the third step mining reached 38.24mm, more than the previous two settlement of about 437.08% and 112.68%, overlying road subgrade and road surface deformation with the increase in mining area increases
Study on the Influence of Anti-slipping Layer Color on Driving Safety at the Tunnel Entrance
Authors: Huang Zhouyi , Xu Jianhui , Qin Xinjian , Liu Yugui , Sheng Qijin
Published: July 2020

In order to study the influence of anti-slipping layer color on driving safety before the tunnel entrance, based on color theory and psychology, this paper used UC-win/Road, Adobe Photoshop, and 3D Max to simulate the real scene, and 8 different color schemes were designed for anti-slipping layer paving. The analog driving device was used to simulate driving, and the eye tracker was adopted to collect the characteristic data of driver’s eye movement. Through data processing, driver’s pupil area change, gaze point proportion and reaction time for targets in the 8 color scheme conditions were obtained, and then the impact of different anti-slipping layers color on driver’s driving safety was evaluated. The anti-slipping layer pavement schemes with different colors have different degrees of impact on driver vision, which in turn affect driving safety. According to the characteristics of optical illusion, a discontinuous multicolor anti-slipping layer pavement scheme was designed, which can provide strong guidance to improve the security of high-speed driving on Wenshan Guangnan-Nasa Expressway.
Analysis on research status of water footprint of ceramic tile (board)
Authors: Liu Shanyu , Zhang Fan , Li Kejing , Wang Kaifang , Shang Bei , Li Dongyuan
Published: July 2020

At present, the saving of industrial water and the reduction of wasting water have become an important part of China’s ecological civilization construction. Ceramic tiles (board) are a key category of building materials. Scientific accounting of their water consumption is of great significance to the implementation of the national water-saving strategy. Therefore, in this paper, the current situation of water footprint research analysis of ceramic tiles (board) have been concluded and summarized, mainly including the related standards of water footprint and accounting methods, the results show that water footprint evaluation standard of ceramic tiles (board) products is missing, and the method (ISO system) of water footprint calculation is suitable for accounting of ceramic tiles (board).
Study on the Influence of Different Mortar Thickness on Compressive Strength of Autoclaved Aerated Concrete Block Based on ANSYS
Authors: Xiao Li-Guang , Xing Wen-Hao
Published: July 2020

Based on Ansys APDL software, this paper conducts mechanical analysis on the autoclaved aerated concrete block walls with different thickness of masonry mortar, such as 2mm and 20mm, and explores the law of the influence of the thickness of the Mortar on the compressive bearing capacity of the autoclaved aerated concrete block walls. The test results show that the compressive bearing capacity of autoclaved aerated concrete block wall decreases continuously with the increase of the thickness of mortar joint, the compressive bearing capacity of masonry unit can be greatly improved by thin mortar joint masonry mortar, and the compressive bearing capacity of masonry with 2mm mortar joint thickness is 17.15% higher than that with 20mm mortar joint thickness. Among them, the regression curve equation of the compressive bearing capacity of the masonry unit and the thickness of the mortar is:y=-0.0248x+2.9972.
Application of BIM in Bridge Engineering and Its Risk Analysis
Authors: Zheng Yang , Xu Chunmei
Published: July 2020

Based on the BIM technology, the bridge information model and its related basic data are collected, so that the bridge project is applied to the entire project life cycle. This article explores the development characteristics of BIM technology in the bridge industry; combined with the current status of BIM in bridge engineering, it is found that it brings greater value in the design, construction, maintenance, and inspection stages; This article proposes and provides reasonable risk analysis and countermeasures on these aspects of technology and policy environment.
Flow Field Simulation When Waves Impact on Beam-plate Structures
Authors: Jin Feng
Published: July 2020

To discuss the characteristics of flow field during wave impact, based on the software FLUENT, two-dimensional regular wave numerical models were adopted. The models could reproduce the wave impact of several typical beam slab structures, and compared with the experimental data, which verified the correctness of the model and showed the wave impact process intuitively. With simulation, the influences of wave steepness, relative clearance and relative structure width on flow field in impacting were analysed. The computational relations between the impact pressures and corresponding vertical velocities were analysed. The works are useful for mastering more mechanism of wave impact.
Expert assessment of agrotechnologies with positioning key components
Authors: Krupina N N
Published: July 2020

Fuzzy expert assessment of the current state and prospects for changing technologies is based on knowledge of the subject area of research, understanding of foresight priorities, and the choice of components whose loss leads to maximum damage to functionality. The relevance of the structural analysis of technologies is justified, the basic components and their weights are highlighted (by the example of poultry farming), and the positions of agricultural technologies are defined in the coordinates «level of innovation – impact on cost» are determined. Basic components of the technology are input and output flows; volume-space parameters of objects; technological mode of operations, materials, reagents, biologics; machines, equipment, vehicles; means of automation and computerization of quality control and management; staff competencies. A graphic technique of technology choice in the conditions of market uncertainty, constant risk and instability of agricultural production conditions is considered. The results of the study can serve as a working tool to facilitate the construction of the expert’s chain of reasoning.
The study of the applicability of catastrophe theory in predicting the systemic risks of managing the digital economy and Internet of things systems
Authors: Tikhonov E E , Samoilenko D V , Kocherov U N , Kuzmenko V V , Melnikova E N
Published: July 2020

The article discusses the applicability of the theory of disasters and nonlinear dynamics in predicting the systemic risks of managing the digital economy and Internet of things systems. One of the approaches may be modeling of nonlinear processes based on the use of the concepts of catastrophe theory. Studies have shown a key indicator of such modeling is to determine the essential features of the disaster. The study showed that the widely used models of the economic processes of the digital economy, as well as the software and technical components of the internet of things, can be transformed into the canonical equation of «assembly», which subsequently leads to the emergence of such an area in the space of phase development variables in which jumps can occur or for the better, or vice versa, such as a collapse. Currently, in the digital economy, the study of such phenomena seems to be very relevant, since an uncontrolled «spasmodic» change in the functioning parameters of such systems can lead to disastrous consequences for the functioning of all interconnected subsystems. The collapse or unstable behavior of one of the components of such systems can lead to the collapse of the entire system. Such phenomena are not allowed in the digital economy and can trigger not only economic consequences, but also social ones.
The use of intelligent technologies of Business Intelligence Platforms and Data Science and Machine Learning Platforms for monitoring the socio-economic indicators of the administrative districts of Moscow
Authors: Sakhnyuk P A , Sakhnyuk T I , Korshikova M V
Published: July 2020

The article discusses the possibilities of studying the state of the social sphere according to the repository of the Moscow Government open data portal by administrative districts and city districts using Business Intelligence Platforms and Data Science and Machine Learning Platforms intellectual technologies. Opportunities are presented for using machine learning technologies for business analytics platforms to identify hidden patterns in order to make informed management decisions.
Intellectual Technologies in Digital Transformation
Authors: Sakhnyuk P A , Sakhnyuk T I
Published: July 2020

Artificial intelligence and machine learning helps to improve the quality of customer service and change the methods of companies’ activities. For this reason, enterprises should consider integrating these technologies into digital transformation plans to remain competitive. Low-code machine learning platforms allow companies and business professionals with minimal coding experience to create applications and fill in the gaps of the personnel in their organization. Automated machine leaning (AutoML) technology represents the next step in the evolution of machine learning, providing non-technical companies with the ability to create machine learning applications quickly and cheaply.
Developing models of IoT infrastructures to identify vulnerabilities and analyse threats
Authors: Proshkin N A , Basan E S , Lapina M A , Klepikova A G , Lapin V G
Published: July 2020

This article describes the developing stands of typical IoT infrastructure Technologies, which are designed to identify vulnerabilities and analyse potential threats. Scenarios of attacks typical for such systems have been developed, and the consequences of implementing attacks have been determined. Attacker can use the developed scenarios, been motivated by different goals. The research is also aimed at increasing the awareness of IoT users and determining the necessity to compliance with the minimum set of requirements relevant articles in literature searches, great care should be taken in constructing both.
Application of cloud technologies for effective management
Authors: Shmatko S G , Shlaev D V , Sorokin A A
Published: July 2020

In modern conditions, when the flow of collected and accumulated information in the organization is growing rapidly, cloud services have become a popular solution for storing huge amounts of data. But not only data storage, but also its processing has become one of the advantages of cloud technologies implementing. Getting up-to-date analytical information for management and analyzing it for further use in maximizing profit for the organization is the most important factor in migrating to the cloud. All the work experience accumulated by the organization over many years becomes digital, which guarantees the success of management decisions. Therefore, cloud technologies also solve the problem of reducing the complexity of IT systems, their maintenance costs and increasing business dynamism. The paper studies the possibility to improve the efficiency of the organization’s customer service department by automating its analytical activities based on the capabilities of cloud services and big data processing technologies. In order to achieve the aim, the authors solved the problem of analyzing the activities of the organization’s customer service department using cloud technologies.
Technology development for the production of thermoplastic composites with agricultural fillers by compounding method on co-directional twin screw extruder
Authors: Kuzmin A M , Radaikina E A
Published: July 2020

The paper is devoted to the development of a continuous process for the production of thermoplastic composite materials based on low-pressure polyethylene and agricultural plant waste products by the components compounding on a Rheomex PTW 16 PolyLab laboratory twin-screw extruder. The processing modes of the developed compositions are given. The effect of melt degassing on the quality of the obtained granulate is noted.
Development of haptic gloves with vibration feedback as a tool for manipulation in virtual reality based on bend sensors and absolute orientation sensors
Authors: Petrenko V I , Tebueva F B , Antonov V O , Apurin A A , Zavolokina U V
Published: July 2020

In the article, the existing developments of haptic gloves were considered, an analysis of scientific publications on this topic, which showed a variety of technical solutions. The main problems of the study area are indicated and two methods for the implementation of haptic gloves, which have a lower cost in comparison with analogues, are proposed. The first method uses nine axial sensors of absolute orientation, which allow to accurately determine the position of the joint in space, and the second method uses bend sensors, which are easier to use but less accurate. To implement the haptic gloves, software was developed, a model was created in the Unity cross-platform development environment.
Research of wing in surface effect ship configuration and development of an experimental model of increased stability
Authors: Dantsevich I M , Prasolov V N , Lyutikova M N
Published: July 2020

The article provides an analysis of the foundations of wing-in-surface-effect ship (WISE) development and describes the experiments conducted using the constructed three radiocontrolled and one virtual model of the WISE. The main problems identified during the experiments are de-scribed, as well as further prospects for the development of the project.
Analysis of a nonlinear system dynamics in the Morlet wavelet basis
Authors: Dantsevich I M , Lyutikova M N , Novikov AY , Osmukha S A
Published: July 2020

The article illustrates the methodological study basis of the multi-frequency (packet) spectrum of sea waves in the influence on the associated system “ship-outboard complex of geophysical equipment”. The selection of the main harmonic of vibrations in the spectrum allows us to implement a compensator of the outboard system according to the stability conditions determined by the Morlet polynomials obtained from the decomposition of the observed dynamics of the system.
Mathematical model of network flow control
Authors: Zaitseva I V , Malafeyev O A , Zakharov V V , Smirnova T E , Novozhilova L M
Published: July 2020

In this paper, we consider a network whose nodes are regions between which it is necessary to distribute electricity coming from its source. Any power plant is a complex economic system that always combines simple concepts - the need to supply the power plant with the main resource for the production of electricity and the need to sell the generated electricity. In this model, due to the need to sell electricity to two regions, the prices for the sale of electricity do not matter. Profit maximization is achieved by minimizing production costs. The optimal policy for generating electricity in the i-th time period is found.
Non-linear Mathematical Model of a Quad-Tiltrotor UAV Spatial Motion
Authors: Litvin D B , Shepet I P , Korolkova L N , Vinokursky D L , Lyutikova L A
Published: July 2020

The article presents a design scheme of a quad-tiltrotor unmanned aerial vehicle (UAV), which combines a safe vertical take-off and landing procedures and a relatively large flight range inherent in the aircraft. In order to reduce the cost and weight of the quad-tiltrotor UAV, to increase its reliability, a circuit with minimization of movable executive drives is considered. Namely, in the proposed structural scheme of the quad-tiltrotor UAV there are no deflectable airfoils. In addition, the rotors of all four engines are rotated by the same setting angle in the longitudinal plane using a single actuator. The research results showed that the quadtiltrotor UAV of the proposed scheme as a whole is statically controlled. All the necessary balancing forces and moments are formed independently of each other only by a coordinated change in engine speed and control of the overall setting angle of their thrust vectors. It is also shown that there is a so-called degenerate flight mode in which static controllability is not provided. Theoretically, this is reflected in the degeneracy of the linear equation system matrix for determining the balance values of engine thrusts. Physically, the specified mode corresponds to the case when the resulting thrust vector of the engines lies on a straight line passing through the centre of gravity of the aircraft, and therefore it cannot create a pitch moment. The paper proposes two ways to overcome this limitation. The constructive method offers a special arrangement of rotor bushings. The algorithmic method carries out a quick transition through a degenerate balancing mode using a control system.
A Modeling of Battery Discharge Within Different Temperature Operating Conditions
Authors: Samoylenko V V
Published: July 2020

The article presents the results of investigations including the battery characteristics in conditions of changing temperature conditions. The possibility of applying logistic functions for approximation depending on the capacity of the battery from the load current is substantiated. An analytical overview of approaches to power modeling depending on the type of battery is presented. The simulation of the discharge process of the CR2 battery in the MATLAB & Simulink™ environment was carried out.
Thin film and noble metal loading effects on the photocatalytic reactivity of helium-plasma-induced nanostructured tungsten oxides
Authors: Feng Shuangyuan , Kajita Shin , Yoshida Tomoko , Ohno Noriyasu , Nagata Daisuke , Tokitani Masayuki
Published: July 2020

Helium-plasma irradiation induces nanostructure formation on metal surfaces. This study investigated the photocatalytic performance of tungsten (W) oxide nanostructures formed on a thin film and the loading effects of noble metals. Methylene blue (MB) degradation was performed, and the performance of different nanostructured samples formed on thin-film and sheet W with changing the oxidization temperatures was compared; the differences were discussed in terms of the oxidation degree and vacancies. Moreover, noble metals (Pt, Ag, Au) were loaded onto the nanostructured sample oxide by magnetron sputtering as cocatalysts. The MB degradation ability was significantly enhanced by Pt loading. The results showed that nanostructuring and Pt support by using dry processes are novel routes for fabricating highly active photocatalysts.
A diagnostic genomic signal processing (GSP)-based system for automatic feature analysis and detection of COVID-19
Authors: Naeem Safaa M , Mabrouk Mai S , Marzouk Samir Y , Eldosoky Mohamed A
Published: July 2020

Coronavirus Disease 2019 (COVID-19) is a sudden viral contagion that appeared at the end of last year in Wuhan city, the Chinese province of Hubei, China. The fast spread of COVID-19 has led to a dangerous threat to worldwide health. Also in the last two decades, several viral epidemics have been listed like the severe acute respiratory syndrome coronavirus (SARS-CoV) in 2002/2003, the influenza H1N1 in 2009 and recently the Middle East respiratory syndrome coronavirus (MERS-CoV) which appeared in Saudi Arabia in 2012. In this research, an automated system is created to differentiate between the COVID-19, SARS-CoV and MERS-CoV epidemics by using their genomic sequences recorded in the NCBI GenBank in order to facilitate the diagnosis process and increase the accuracy of disease detection in less time. The selected database contains 76 genes for each epidemic. Then, some features are extracted like a discrete Fourier transform (DFT), discrete cosine transform (DCT) and the seven moment invariants to two different classifiers. These classifiers are the k-nearest neighbor (KNN) algorithm and the trainable cascade-forward back propagation neural network where they give satisfying results to compare. To evaluate the performance of classifiers, there are some effective parameters calculated. They are accuracy (ACC), F1 score, error rate and Matthews correlation coefficient (MCC) that are 100%, 100%, 0 and 1, respectively, for the KNN algorithm and 98.89%, 98.34%, 0.0111 and 0.9754, respectively, for the cascade-forward network.
Cross-regional drivers for CCUS deployment
Authors: Ku Anthony Y , Cook Peter J , Hao Pingjiao , Li Xiaochun , Lemmon John P , Lockwood Toby , Mac Dowell Niall , Singh Surinder P , Wei Ning , Xu Wayne
Published: July 2020

CO2 capture, utilization and storage (CCUS) is recognized as a uniquely important option in global efforts to control anthropogenic greenhouse-gas (GHG) emissions. Despite significant progress globally in advancing the maturity of the various component technologies and their assembly into full-chain demonstrations, a gap remains on the path to widespread deployment in many countries. In this paper, we focus on the importance of business models adapted to the unique technical features and sociopolitical drivers in different regions as a necessary component of commercial scale-up and how lessons might be shared across borders. We identify three archetypes for CCUS development—resource recovery, green growth and low-carbon grids—each with different near-term issues that, if addressed, will enhance the prospect of successful commercial deployment. These archetypes provide a framing mechanism that can help to translate experience in one region or context to other locations by clarifying the most important technical issues and policy requirements. Going forward, the archetype framework also provides guidance on how different regions can converge on the most effective use of CCUS as part of global deep-decarbonization efforts over the long term.
Activation of final complement components after kidney transplantation as a marker of delayed graft function severity
Authors: Arias-Cabrales Carlos E , Riera Marta , Pérez-Sáez María José , Gimeno Javier , Benito David , Redondo Dolores , Burballa Carla , Crespo Marta , Pascual Julio , Rodríguez Eva
Published: July 2020

Background

Ischaemia–reperfusion (I/R) damage is a relevant cause of delayed graft function (DGF). Complement activation is involved in experimental I/R injury, but few data are available from kidney transplant (KT) patients. We studied the dynamics of membrane attack complex (C5b-9) as a soluble fraction (SC5b-9) and the histological deposit pattern of C3b, complement Factor H (FH) and C5b-9 in DGF patients.

Methods

We evaluated SC5b-9 levels in 59 recipients: 38 with immediate graft function and 21 with DGF. The SC5b-9 was measured at admission for KT and 7 days after KT. DGF-kidney biopsies (n = 12) and a control group of 1-year protocol biopsies without tissue damage (n = 4) were stained for C5b-9, C3b and FH.

Results

SC5b-9 increased significantly in DGF patients (Day 0: 6621 ± 2202 mAU/L versus Day 7: 9626 ± 4142  mAU/L; P = 0.006), while it remained stable in non-DGF patients. Days 0–7 increase >5% was the better cut-off associated with DGF versus non-DGF patient discrimination (sensitivity = 81%). In addition, SC5b-9 increase was related to DGF duration and worse graft function, and independently associated with DGF occurrence. SC5b-9, C3b and FH stains were observed in tubular epithelial cells basal membrane. DGF-kidney biopsies showed a more frequently high-intensity stain, a higher number of tubules with positive stain and larger perimeter of tubules with positive stains for SC5b-9, C3b and FH than control patients.

Conclusions

Both SC5b-9 levels and SC5b-9, C3b and FH deposits in tubular epithelial cells basal membrane are highly expressed in patients experiencing DGF. SC5b-9 levels increase could be useful as a marker of DGF severity.
Transportation Index Computation: A Development Theme Mining-Based Approach
Authors: Han Gang , Li Menggang , Mei Yiduo , Li Deming
Published: July 2020

In order to comprehensively evaluate the achievements of the 'Belt and Road' in integrated transportation, researchers need to optimize the method of generating evaluation indices and construct the framework structure of the 'Belt and Road' transportation index system. This paper used GDELT database as data source and obtained full text data of English news in 25 countries along ‘the Belt and Road’. The paper also introduced the topic model, combined with the unsupervised method (latent Dirichlet allocation, LDA) and the supervision method (labeled LDA) to mine the topics contained in the news data. It constructed the transportation development model and analyzed the development trend of transportation in various countries. The study found that the development trend of transportation in the countries along the line is unbalanced, which can be divided into four types: rapid development type, stable development type, slow development type and lagging development type. The method of this paper can effectively extract temporal and spatial variation of news events, discover potential risks in various countries, support real-time and dynamic monitoring of the social development situation of the countries along the border and provide auxiliary decision support for implementation of the ‘the Belt and Road’ initiative, which has important application value.
Platanus_B: an accurate de novo assembler for bacterial genomes using an iterative error-removal process
Authors: Kajitani Rei , Yoshimura Dai , Ogura Yoshitoshi , Gotoh Yasuhiro , Hayashi Tetsuya , Itoh Takehiko
Published: July 2020

De novo assembly of short DNA reads remains an essential technology, especially for large-scale projects and high-resolution variant analyses in epidemiology. However, the existing tools often lack sufficient accuracy required to compare closely related strains. To facilitate such studies on bacterial genomes, we developed Platanus_B, a de novo assembler that employs iterations of multiple error-removal algorithms. The benchmarks demonstrated the superior accuracy and high contiguity of Platanus_B, in addition to its ability to enhance the hybrid assembly of both short and nanopore long reads. Although the hybrid strategies for short and long reads were effective in achieving near full-length genomes, we found that short-read-only assemblies generated with Platanus_B were sufficient to obtain ≥90% of exact coding sequences in most cases. In addition, while nanopore long-read-only assemblies lacked fine-scale accuracies, inclusion of short reads was effective in improving the accuracies. Platanus_B can, therefore, be used for comprehensive genomic surveillances of bacterial pathogens and high-resolution phylogenomic analyses of a wide range of bacteria.
Development of Behaviorally Based Monitoring and Biosurveillance Tools for the Invasive Spotted Lanternfly (Hemiptera: Fulgoridae)
Authors: Nixon Laura J , Leach Heather , Barnes Caitlin , Urban Julie , Kirkpatrick Danielle M , Ludwick Dalton C , Short Brent , Pfeiffer Douglas G , Leskey Tracy C
Published: July 2020

The spotted lanternfly, Lycorma delicatula White, is an invasive planthopper (Hemiptera: Fulgoridae) that was first detected in the United States in Berks County, PA, in 2014, and has since spread in the mid-Atlantic region. This phloem-feeding pest has a broad host range, including economically important crops such as grape where their feeding causes dieback of infested plants. Monitoring the presence and abundance of L. delicatula is of utmost importance to develop pest management approaches. Current monitoring practices include sticky bands deployed on tree trunks, sometimes paired with commercially available methyl salicylate lures. A drawback associated with sticky bands is the high numbers of nontarget captures. Here, we developed traps for L. delicatula based on a circle trap originally designed for weevils. These traps are comprised of a screen funnel that wraps around the trunk of a tree and guides individuals walking up the trunk into a collection device. In 2018 and 2019, we compared circle trap designs with sticky bands in Pennsylvania and Virginia. In both years, circle trap designs yielded captures that were equivalent to or exceeded captures of L. delicatula on sticky bands. Nontarget captures were significantly lower for circle traps compared with sticky bands. Presence of a methyl salicylate lure in association with traps deployed on host trees or vertical tree-mimicking posts did not increase L. delicatula captures compared with unbaited traps. Circle traps, modified using vinyl screen and a larger collection device, present an alternative to the current approach with reduced nontarget capture for monitoring L. delicatula.
Diversity of Planthoppers (Hemiptera: Delphacidae) on Maize Crops and Edge Grasses in Mexico
Authors: Rodríguez-Juárez José Guillermo , Bartlett Charles R , Pinedo-Escatel J Adilson , Moya-Raygoza Gustavo
Published: July 2020

Delphacid planthoppers (Hemiptera: Delphacidae) are a group of economically important sap-feeding insects that vector plant pathogens and are pests of crops, such as maize, wheat, and rice. This study was conducted to evaluate planthopper diversity, abundance, and the presence of potential vectors on maize crops and associated edge grass habitats. In Jalisco, west-central Mexico, delphacids were sampled using a sweep net in two different habitats (with and without irrigation) during the dry and rainy seasons of 2013 and 2014. A total of 5,621 specimens were collected and nine species were identified: Metadelphax propinqua (Fieber), Delphacodes koebelei Muir and Giffard, Delphacodes arcuata Beamer, Sogatella kolophon (Kirkaldy), Syndelphax fulvidorsum (Metcalf), Chionomus balboae (Muir & Giffard), Toya idonea (Beamer), Syndelphax humilis (Van Duzee), and Tagosodes cubanus (Crawford) (Hemiptera: Delphacidae), all belonging to the tribe Delphacini (Delphacinae). A high diversity of delphacids was found in the edge grasses during the dry season and rainy season. Planthopper abundance was higher in the edge grasses than in the maize fields during the rainy season. The most abundant species was M. propinqua representing 67.5% of the specimens collected. Populations of M. propinqua in edge grasses peaked during the dry season in December and January. Metadelphax propinqua, S. kolophon, and T. cubanus are known to be potential plant pathogen vectors.
Clinical Practice of Adalimumab and Infliximab Biosimilar Treatment in Adult Patients With Crohn’s Disease
Authors: Reinisch Walter , Gecse Krisztina , Halfvarson Jonas , Irving Peter M , Jahnsen Jørgen , Peyrin-Biroulet Laurent , Rogler Gerhard , Schreiber Stefan , Danese Silvio
Published: July 2020

The introduction of tumor necrosis factor (TNF) inhibitors has significantly changed the treatment landscape in Crohn’s disease (CD). The overall therapeutic achievements with TNF inhibitors such as infliximab, adalimumab, and certolizumab pegol paved the way to push the boundaries of treatment goals beyond symptomatic relief and toward cessation of objective signs of inflammation, including endoscopic remission. Even though these agents are widely used for the treatment of moderate to severe CD, heterogeneity still exists in translating evidence-based guidelines on the use of anti-TNF agents into actual treatment algorithms in CD. This might be due to several reasons including disparities in health expenditure policies; lack of harmonization between countries; and variations in assessment of disease severity, use of disease monitoring tools, or application of treatment targets by physicians. With the advent of biosimilars, patent-free versions of reference biologics are now available to minimize health inequalities in drug availability. In this context, this article aims to provide practical clinical guidance for the use of infliximab and adalimumab biosimilars in patients with moderate to severe CD by outlining different clinical scenarios that patients may encounter during their treatment journey.