bluuebunny/crossref_metadata_2025 huggingface dataset:
Microstructural features, spectroscopic study and thermal analysis of potassium permanganate filled PVA–PVP blend films
Authors: Veena G , Lobo Blaise
Published: April 2021

Potassium permanganate (KMnO4) filled polyvinyl alcohol (PVA)–polyvinylpyrrolidone (PVP) polymeric blend films have been prepared by solution casting technique, with filler levels (FL) varying from 0.01 up to 4.70 mass%. The microstructural features, thermal properties and spectroscopic properties of these films have been studied using powder XRD, AFM, Fe-SEM, DSC, TG and FTIR. FTIR spectra for filled samples indicated a major molecular structural modification, involving conversion of the hydroxyl (OH) group into ketones at higher FLs. The bands showed a clear distortion in the wide OH band especially at higher FLs of 3.80 mass% and 4.70 mass%. This is confirmed from the TG scans, whose thermal degradation signature reveals multiple stages of degradation for FL of 2.8 mass%, 3.8 mass% and 4.7 mass%. The DSC, TG and DTA curves revealed that value ofTgwas found to decrease on addition of filler in the PVA–PVP blend, whereas the thermal stability of the filled samples was found to increase. The XRD results revealed that the incorporation of KMnO4in PVA–PVP blend made the sample more amorphous. At low FLs, AFM and SEM micrographs show evidence for formation of nano-particles in the host polymeric material only at the lowest FL of 0.01 mass% with uniform dispersion of nano-structures, whereas at moderate FLs, there are micro-structures in the polymeric host, followed by agglomeration of filler induced chemical species as the FL increases beyond 2.8 mass%. Therefore, KMnO4filled PVA–PVP blend films show desirable properties expected from a good solid polymeric electrolyte, for FLs below 1.5 mass%.
Thermodynamic cyclic voltammograms: peak positions and shapes
Authors: Hörmann Nicolas Georg , Reuter Karsten
Published: April 2021

Based on a mean-field description of thermodynamic cyclic voltammograms (CVs), we analyze here in full generality, how CV peak positions and shapes are related to the underlying interface energetics, in particular when also including electrostatic double layer (DL) effects. We show in particular, how non-Nernstian behaviour is related to capacitive DL charging, and how this relates to common adsorbate-centered interpretations such as a changed adsorption energetics due to dipole-field interactions and the electrosorption valency – the number of exchanged electrons upon electrosorption per adsorbate. Using Ag(111) in halide-containing solutions as test case, we demonstrate that DL effects can introduce peak shifts that are already explained by rationalizing the interaction of isolated adsorbates with the interfacial fields, while alterations of the peak shape are mainly driven by the coverage-dependence of the adsorbate dipoles. In addition, we analyze in detail how changing the experimental conditions such as the ion concentrations in the solvent but also of the background electrolyte can affect the CV peaks via their impact on the potential drop in the DL and the DL capacitance, respectively. These results suggest new routes to analyze experimental CVs and use of those for a detailed assessment of the accuracy of atomistic models of electrified interfaces e.g. with and without explicitly treated interfacial solvent and/or approximate implicit solvent models.
Frontiers of graphene-based Hall-effect sensors
Authors: Collomb David , Li Penglei , Bending Simon
Published: April 2021

Hall sensors have become one of the most used magnetic sensors in recent decades, performing the vital function of providing a magnetic sense that is naturally absent in humans. Various electronic applications have evolved from circuit-integrated Hall sensors due to their low cost, simple linear magnetic field response, ability to operate in a large magnetic field range, high magnetic sensitivity and low electronic noise, in addition to many other advantages. Recent developments in the fabrication and performance of graphene Hall devices promise to open up the realm of Hall sensor applications by not only widening the horizon of current uses through performance improvements, but also driving Hall sensor electronics into entirely new areas. In this review paper we describe the evolution from the traditional selection of Hall device materials to graphene Hall devices, and explore the various applications enabled by them. This includes a summary of the selection of materials and architectures for contemporary micro-to nanoscale Hall sensors. We then turn our attention to introducing graphene and its remarkable physical properties and explore how this impacts the magnetic sensitivity and electronic noise of graphene-based Hall sensors. We summarise the current state-of-the art of research into graphene Hall probes, demonstrating their record-breaking performance. Building on this, we explore the various new application areas graphene Hall sensors are pioneering such as magnetic imaging and non-destructive testing. Finally, we look at recent encouraging results showing that graphene Hall sensors have plenty of room to improve, before then discussing future prospects for industry-level scalable fabrication.
Kinematics and kinetics of alternating electric field induced liquid mass transport on chromium thin films
Authors: Ghosh Swapnendu Narayan , Shastri Vijayendra , De Sarkar Debjit , Abraham Ebinesh , Talukder Santanu
Published: April 2021

Long range mass transport driven by an electric field has many applications in the fields of nanoscience and technology. Liquid-phase mass transport ranging from the micrometer to the millimeter scale and its application to nanopatterning have been demonstrated on chromium (Cr) thin films using a DC electric field. Under the influence of an electric field, the metal seems to undergo a chemical reaction, and the resulting liquid material flows out radially in all directions. In this study, we have explored the effect of an alternating (AC) electric field on this kind of liquid-phase material transport. Within the scope of this work, mass transport has been studied on Cr films 30 nm thick using an alternating square waveform with frequencies ranging from 100 Hz to 1000 Hz in steps of 50 Hz. The dependence of the material’s formation, flow distance, and flow velocity on frequency, for a constant applied root mean square (RMS) voltage, was studied in detail. An analytical model is presented to explain the experimental results. This study, in particular the frequency parameter and the intermittent nature of the applied bias, will help us get a better control over the mass flow process, will lead to better resolutions for the electrolithography process.
Nonlinear feature in the spatial uniformity of an atmospheric helium dielectric barrier discharge with the inter-dielectric gap width enlarged
Authors: Wang Qiao , Zhou Xiangyu , Dai Dong , Huang Zeen , Zhang Daoming
Published: April 2021

Intuitively, when the breakdown voltage is satisfied, enlarging the inter-dielectric gap width (d
g) is prone to filamentary dielectric barrier discharges (DBDs) due to the lengthened electron migration path and the intensified electron cascade. In this letter, we report that in specific conditions, a larger d
g can also promote a homogeneous DBD. The calculated results from the two-dimensional fluid model of an atmospheric helium DBD reveal that the incomplete dissipation of glows (residual positive column) induced by the enlarged d
g poses an eraser-like role, wiping out the surface charges left behind by the former discharge. Thus, the so-called memory effect cannot be well established, and the uniform DBD ensues. An experiment with similar conditions and a simplified linear stability analysis qualitatively validate the calculated results. This work also provides sufficient feasibility of regulating discharge uniformity of DBDs through manipulating the dissipative characteristic, and some methods of tailoring waveform would be useful.
Active dispersing mechanism for settled magnetorheological fluid featuring with rotary blades and inductive coils in twin-tube damper
Authors: Zhang Honghui , Zou Zhiyuan , Choi Seung-Bok , Yang Xu
Published: April 2021

Magnetorheological (MR) fluid-based applications have accelerated new approaches for vibration and shock control in many scenarios such as the automotive suspension, earthquake mitigation, recoil system and landing gears. However, one of the most serious problems to resolve for successful applications is to mitigate the sedimentation of MR fluids. The sedimentation of MR fluid is inevitable due to the density mismatch between the particles and base liquid. So, several efforts have been made to prevent MR fluid from the settling through additives to match between dispersed phase and dispersing medium, failed because of the difficulty for balancing the density mismatch between the carbonyl iron particles and carrier liquids such as silicone oil. In this work, an active method to resolve the settling problem is proposed and its effectiveness is validated through an experimental test. This work presents an active dispersing mechanism (ADM) with the features of twin tubes structure and full circulation generated by rotary blades driven by an electric motor. A new measurement method based on inductive sensing is provided to characterize the permeability of MR fluid continuously and instantaneously, which is directly pertinent to the dynamic volume concentration of MR fluid in the phase of settling and dispersing. Based on the simply prepared MR fluid, the sedimentation is traced for 24 h and active dispersing is operated after a relatively short time settling of 3 h. The measured results show that the proposed ADM is very effective to recover settled MR fluid after starting the rotary blades less than 1 min.
Magnetic properties and resistivity of a 2:17-type SmCo magnet doped with ZrO2
*
Authors: Yang Qi-Qi , Liu Zhuang , Zhang Chao-Yue , Wu Hai-Chen , Gao Xiao-Lei , Ma Yi-Long , Chen Ren-Jie , Yan A-Ru
Published: April 2021

In order to counteract the demagnetization caused by eddy current loss, widespread attention has been devoted to increasing the resistivity of permanent magnets. We prepared 2:17-type SmCo magnets doped with different ZrO2 contents and investigated the influence of the ZrO2 content on the magnetic properties and resistive anisotropism. The results showed that not only was the resistivity of the magnet improved, but, in addition, the coercivity of the magnet was significantly increased. The microstructure was studied with TEM, which showed that ZrO2 doping was able to cause a decrease in the lamellar phase density and the growth of cellular structures. The increased grain boundaries and Sm2O3 phases were favorable to the improvement of resistivity. The decrease of the lamellar phases caused a narrowing of the resistive anisotropism. The additional Cu in the center of the cellular boundaries was the main reason for the enhancement of H
cj. However, an excessive amount caused an increase of the Zr6(FeCo)23 phase and a deterioration of the cellular structure, thereby leading to a decrease in coercivity.
Research on Emergency Decision Making Based on Bayesian Method
Authors: Xue Bin , Tao Gang , Zhang LiJing
Published: April 2021

In today’s society, the sudden nature of emergencies, many inducements, and large impact determine the difficulty of emergency management and decision-making. How to minimize losses and ensure the safety of people’s lives and property after an emergency occurs is the top priority of the country’s emergency management work today. Bayesian decision-making method is a common method for program selection: use Bayesian formula to modify the prior probability, and then use the modified probability to calculate the expected value of each program’s utility. The plan with the higher expected value of utility is the best. Based on previous research results, this paper introduces the application background of original emergencies and the Bayesian decision-making method with fuzzy intervals, and uses specific cases to verify the effectiveness and rationality of the decision-making method.
RETRACTED: Research on Problems and Countermeasures of University Campus Express Operation Management under the Background of Big Data
Authors: Wang Na
Published: April 2021

In the context of the era of big data, college campus express has ushered in new development and opportunities. With the rapid development of Internet technology and e-commerce industry in the current era, the demand for online shopping of students, teachers and many staff in colleges and universities is also increasing. Online shopping has become a major way for students and teachers. While the e-commerce industry is developing rapidly, it also immediately drives the development of the express delivery service industry. The demand for express delivery services on college campuses is also increasing, and the express delivery service industry on college campuses is also ushering in new development and opportunities. But at the same time of rapid development, it also exposed the problems of many college campus express delivery. Under the current background, it is of practical significance to study the problems and countermeasures of campus express delivery in colleges and universities. This time, through on-site investigation, questionnaire survey, data analysis and other methods of various express delivery points on campus, we have in-depth understanding of various problems of campus express delivery, and based on the research and investigation, we have proposed solutions such as overall planning, merging sites, and innovative express delivery models. This field research survey provides new ideas for the innovation mechanism of college express delivery model, builds a high-quality express service site for college campuses, and provides some help for colleges and universities to coordinate the campus express industry.
Innovation Path of News Communication Based on Big Data
Authors: Wang Jurong
Published: April 2021

The rapid development of big data makes our life age transition from the “information age” to the “data age”. All walks of life use big data to change production and life. This change will inevitably affect the field of news dissemination. Combining the application of big data in all social classes, we first discuss the concepts of online media and big data, starting with the relationship between online media and big data, explaining the factors of online media using big data and applying big data to online media Variety. Among them, the factors of big data multimedia Web applications include: visual content presentation, mobile communication channels, personalized information acceptance and social information interaction. Although people have done a lot of research on new ways of news dissemination, there are still many shortcomings. This paper studies the extremely fragile topology of wireless sensorless networks facing selective attacks, and uses the principle of local optimization to propose a secure routing algorithm for multi-feature decision-making in wireless sensor networks based on topology. The model defines parameters such as node power transmission efficiency, load and packet loss rate as features, and uses relative entropy to calculate the weight of each feature to create a multi-feature decision model. The node selects the best path according to the decision model. This model takes into account the dynamic characteristics of the network and effectively compensates for the deficiencies of the existing algorithms. These algorithms only solve the problem of scale-free topology attacks from the network structure. Using the method in this article, the spread of big data news has increased by 18%.
Design of Execution System Based on Artificial Intelligence Technology
Authors: Zhang Jianxin , Shi Xiaoyu
Published: April 2021

With the rapid development of global artificial intelligence, the wide application of virtual augmented reality technology in various fields has increasingly shown its unique technical charm. The analysis of relevant statistical data shows that virtual augmented reality enterprise system is still a new technology research hotspot in China’s executive enterprise system architecture design. In order to effectively solve the traditional basketball referee system training and assessment process in the lack of venues, human operation and the lack of objective quantification of the game and other constraints, this paper proposes a design of executive system based on artificial intelligence technology. In this paper, 250 personnel involved in the executive system were investigated, and their recognition of artificial intelligence technology reached more than 92%. This paper compares and analyzes the financial input, human input and intelligence after the application of artificial intelligence in the design of the execution system, discusses and analyzes the results, and puts forward the application suggestions of artificial intelligence in the execution system, which provides technical support for the development of the execution system. The research in this paper is of great significance for the further integration and development of the two.
RETRACTED: Research on the Integration of ESP and Big Data in Modern College English Teaching
Authors: Bao Ye
Published: April 2021

In the context of big data, it analyzes ESP-based college English teaching. First, it explains the big data theory in ESP, and then discusses the resource discovery service, information storage service, resource organization service, and information retrieval service of English teaching. On the basis of the service content of ESP in college English teaching, it expounds the self-learning mode of college English based on ESP theory from the aspects of one-stop resource service, subject knowledge service, information visualization service and smart service.
Grid-connected Micro-grid Power Supply and Distribution Transformer Capacity Optimization System Design in the Electricity Sales Environment
Authors: Cheng Zhuo , Zeng Weidong , Shu Zhou , Liao Wei , Lin Yuyi
Published: April 2021

With the current gradual opening of our country’s electricity sales market and the successive improvement of related policies for grid-connected micro-grids, grid-connected micro-grid power supplies and their distribution transformer capacity have received attention and development. Based on the good development of my country’s electricity sales market environment, this paper designs the grid-connected microgrid power supply optimization system and its distribution and conversion capabilities to optimize the quality of electricity sales and optimize the grid configuration. In view of the fact that the operation of the microgrid system in my country’s market environment is more flexible at this stage, after a long time simulation test, a simulation analysis of the operation status of the grid-connected microgrid is carried out. In the course of the experiment, the electricity price in the distribution point process and the real-time changes of the electricity purchase price in the market will be considered comprehensively, and the processing in the micro-electricity system based on its distribution transformer capacity optimization system and the load forecast result will be considered. This article uses a power grid project actually constructed in East China as an example to analyze the results of simulation calculations. Then the NSGA-II algorithm is used to solve the optimized model for the cost and benefit composition of the grid. The optimized configuration method of the optical storage microgrid proposed in this paper can ensure the reliable power supply of users’ important loads during the off-grid operation of the microgrid, increase the installed capacity of distributed photovoltaics, and the configured energy storage system also allows enterprises to achieve low electricity prices. Purchase electric energy at any time and use it to supplement the load’s demand for electric energy during peak electricity price periods, thereby increasing revenue. The experimental research results show that the design of the grid-connected microgrid power supply capacity optimization system under the electricity sales environment studied in this paper can effectively reduce the additional investment required by external loads and the capacity of optical storage and distribution transformers. Only then can the economic marketing profit of the microgrid be improved to a certain extent.
The Design and Performance Analysis of a Heat Dissipation System for Computer Server
Authors: Gong Jianhu
Published: April 2021

In view of the problem that the poor heat dissipation effect of the server influences the normal operation of internal electronic components, this paper presents a heat dissipation system solution, which includes single chip microcomputer, temperature sensor, metal net rack, cooling fan and other devices.
Application of Computer Three-dimensional Modeling in Engineering Engineering
Authors: Jin Kaizhao
Published: April 2021

With the development of science and technology and the development of our society, new technologies are continuously applied in our country’s engineering. Due to the complex geological phenomena such as faults, pinching, and outcrops in geological bodies, in order to express these phenomena when modeling 3D strata Regardless of whether it is a surface model, a volume model or a mixed model, there are problems of space division or surface intersecting. Due to the complexity of geological body topology, data errors and computer accuracy problems, these models often fail in the actual modeling process. Using level set theory can effectively solve this problem. Level sets use implicit functions to express surfaces, which can realize the expression of complex geological bodies and topological operations such as merge, intersection, and difference. In 3D geological modeling, after generating various geological interfaces by interpolation, these geological interfaces are expressed in level sets, and various complex topological operations are completed by level theory, and a 3D geological model expressed in level sets is established. On this basis, by inserting various engineering activity interfaces expressed by level set, and using level set theory to perform topological operations, geological models after various engineering activities can be constructed. Reuse algorithms to extract various geological interfaces or engineering activity interfaces, and construct stratigraphic models that can be used for real-time visualization or engineering evaluation (such as finite element calculation) or geological models after engineering activities. By establishing a three-dimensional geological model of the area where the construction project is located, architectural designers and construction personnel can analyze and study complex geological conditions, and provide technical support for engineering. By studying the three-dimensional geological model, this paper analyzes the engineering geological conditions and potential risks of the construction process in the study area, and proposes risk control measures, which can provide scientific decision-making basis for building design, construction, and risk prevention and control, and has a high promotion value. Experimental research results show that the application of computer three-dimensional modeling in engineering engineering can effectively reduce the cost of the project, ensure the quality and schedule, and greatly improve the construction efficiency of the project.
Analysis of Visual Communication Packaging Design Based on Interactive Experience
Authors: Li Ying
Published: April 2021

With the continuous advancement of information technology, people’s interaction and communication methods have also shown diversity. As a carrier of product and social communication, visual communication packaging needs to interact with people to reflect its due value. Therefore, with the change of the times, packaging design has also undergone great changes, and people’s perception of product visual communication packaging design has been continuously changed. This perception is based on the interactive concept of product packaging design. This article provides new ideas for how to use new technologies and new methods to design interactive product visual communication packaging design.
Research on Infiltration Teaching of Higher Vocational Mathematics Culture Based on Big Data
Authors: Liu Xiwen
Published: April 2021

In response to the current information needs of higher vocational mathematics and cultural teaching, Hadoop framework and collaborative recommendation algorithms are used to apply these two technologies to the construction of a shared platform for higher vocational mathematics and cultural infiltration teaching. Then through experiment and comparison, let the same teacher conduct mathematics and cultural infiltration teaching in two different classes. The results show that by investigating higher vocational students’ interest in mathematics and their understanding of mathematics, the number of people interested in vocational mathematics classes increased by 14.6%, and the number of people interested in control classes only increased by 10%. At the same time, in the assessment of mathematics culture penetration knowledge points, the number of outstanding people in the experimental group was significantly more than that in the control group.
Value Orientation and Development of Ideological and Political Education Based on Artificial Intelligence
Authors: Shang Huixia , Hu Caizhen
Published: April 2021

Artificial intelligence(AI) technology has brought a brand-new technological revolution. Under the background of vigorously promoting educational modernization in our country, it is a trend in the future to introduce AI technology into ideological and political education(IAPE). At the same time, it strengthens the effect of IAPE and promotes the reform of IAPE. However, due to the fact that the research in this field is still in the trial stage, there are still many problems. Therefore, this paper puts forward the research on the value orientation and development of IAPE based on AI. In this paper, the IAPE methods of colleges and universities towards the era of AI in the future are deeply studied. According to the actual needs of IAPE, combined with the characteristics of AI technology, this paper divides the future development of IAPE mode into seven categories, and analyzes the main characteristics. For the value of AI in IAPE, this paper believes that AI technology can better promote the reform of IAPE mode, especially in the teaching method, which has obvious intelligent improvement. In order to strengthen the effect of AI technology on IAPE in practical application, this paper thinks that we should strengthen the research of AI technology, especially the research of algorithm, which needs to be more intelligent and humanized. For the reform of IAPE, we should take students as the main body, enrich teaching methods, customize personalized teaching content, and cultivate students’ autonomous learning ability.
The Application of Intelligent Speech Recognition Technology in the Tone Correction of College Piano Teaching
Authors: Wang Jing
Published: April 2021

In recent years, with the continuous deepening of college teaching reform and the rapid development of artificial intelligence, the teaching methods used in college classrooms have been greatly different from traditional ones. The original teaching programs and teaching methods need to be changed with the development of the times. The main purpose of this article is to improve the correction rate of intelligent voice recognition technology for college piano timbre without violating the safety of artificial intelligence. This article mainly conducts experiments by consulting relevant domestic and foreign literature, using observation and comparison methods, and using some neural network algorithms (BP neural network algorithm and convolutional neural network algorithm) to obtain experimental results, and finally complete our experimental goal-research intelligence The application of speech recognition technology in the tone correction of piano teaching in colleges. The test results show that the use of multiple algorithms can improve the application of intelligent speech recognition technology in the tone correction of piano teaching in colleges and universities, mainly to improve the correction rate and enhance the ability of guiding teaching.
RETRACTED: Study on the Mixed English Teaching Model in Higher Vocational Colleges Under the Background of Big Data
Authors: Zhang Tianhua
Published: April 2021

This paper selects the reform of English course teaching mode in higher vocational colleges(HVC) as the research object, and studies how to make full use of big data(BD) technology to build a teaching platform to integrate teaching resources. In addition, we analyze the learning behavior of students and predict student learning effects. On this basis, a diversified and mixed English teaching mode in HVC is constructed, which enriches the theory of higher vocational English teaching and promotes the continuous improvement of the quality of higher vocational English teaching. What’s more, it ensures that students’ English ability is fully exercised and better adapted to the future society.
Big Data Technology and Deep Learning Algorithm in Civil Engineering Teaching
Authors: Yu Zhihua
Published: April 2021

The advent of the era of big data is driving changes in teaching methods. This research mainly discusses the application of big data technology and deep learning algorithm in civil engineering teaching. From the perspective of students, provide guidance on learning and life, pass on the experience summary of graduating students to school students for reference, and combine real-time school data to provide real-time guidance to school students. From the perspective of faculty and staff, we can understand the basic situation of students in a short time to achieve the purpose of improving teaching quality. Teachers should choose and determine the teaching support based on the knowledge and skills that the civil engineering students have mastered, combined with the teaching content. School teachers need to improve their understanding of problems, pay attention to creating various problem scenarios for students, promote the collision of multiple thinking processes, and cultivate students’ creative thinking and ability. In the process of evaluating whether students can use the visual method of knowledge to memorize new knowledge, the average evaluation value is between 2.5-3. This research is helpful to promote the reform of civil engineering teaching.
Safety Risk Analysis and Prevention and Control Countermeasures of Petroleum Enterprises under the Background of Intelligent Era
Authors: Zhang Xuming
Published: April 2021

In the age of the Internet and other new technology under the background, this article analyzed the risk sources of petroleum enterprise with the background both at home and abroad, discusses the era of big data. The public security organs should be known how to use intelligent systems, cloud computing, video technology, unmanned aerial vehicles, 5G technology, new technology such as mobile phone monitoring method for the prevention and control technology, in order to effectively deal with all kinds of petroleum enterprise emergencies, and then maximum early to make predictions, using intelligent control technology to strengthen the security risk prevention and control in the field of petroleum enterprise, which become passive to active work mode, implement the public security organ for dangerous goods and manage wisdom leapfrog development.
Application of Virtual Reality Technology (VR) in Practice Teaching of Sports Rehabilitation Major
Authors: Fang Man , You Fan , Yao Rongqi
Published: April 2021

Patients who can receive rehabilitation training provide two types of feedback. This is the biggest advantage of virtual reality technology for rehabilitation training, and at the same time can improve the patient’s perception of rehabilitation results. This article aims to study the application of virtual reality technology (vr) in sports rehabilitation professional practice teaching. This paper uses the research method of virtual scene position mapping. The virtual scene position mapping is based on the virtual realization technology of upper limb rehabilitation training, which is manipulated by the movement of the patient’s upper limbs. In the experiment, all the students in the first and second classes of a sports rehabilitation major in a local university were subjected to theoretical tests and practical ability assessments to all the students in the first and second classes of the sports rehabilitation major. Experimental data shows that the excellent rate and passing rate of the experimental class’s practical ability test are much higher than those of the control class. Therefore, it can be concluded that the application of virtual reality technology to sports rehabilitation teaching is beneficial to the improvement of learners’ practical ability. The experimental results show that the test excellence rate of the experimental class is 24.2% higher than that of the control class, and the passing rate is 12% higher. Therefore, applying virtual reality technology to sports rehabilitation education can stimulate people’s interest in learning. The virtual environment is very similar to the real world, and the motor skills learned in the virtual environment can be successfully transferred to the real world.
RETRACTED: Research on the Integration of Innovation and Entrepreneurship and Ideological and Political Courses in Universities under the Background of Internet Era
Authors: Lin Nan , Lin Yanqing
Published: April 2021

With the progress of the times, China’s higher education has entered a new era. The combination of innovation and entrepreneurship education with college students’ ideological and political education is an important means for colleges and universities to implement morality, cultivate talents and serve the society. Therefore, while colleges and universities attach importance to entrepreneurship education, it has important practical significance to further strengthen ideological education.Through the analysis of the essential meaning of “curriculum ideological and political”, this article points out the importance of combining ideological and political education with college students’ innovation and entrepreneurship, and analyzes the main problems in the implementation of curriculum ideological and political concepts in college innovation and entrepreneurship education courses.
Capacitance Measuring Instrument Based On Ldc1612
Authors: Huang Jian
Published: April 2021

A new type of capacitance measuring instrument includes a microprocessor, a capacitance sensing sensor, a LC oscillation circuit, a computer, a display and a buzzer. The LC oscillation circuit is connected with the measured capacitance CS to generate an oscillation frequency, and the oscillation frequency is sent to the capacitance sensing sensor. After being processed by the capacitance sensing sensor, it is converted into a 28 bit binary number and sent to the said controller through the IIC interface When a successful measurement is completed, the microprocessor controls the buzzer to sound once and sends the measurement results to the display or computer, which has the advantages of high precision, short measurement time, etc.
Innovation Path of Internet Enterprise Business Model Based on E-commerce
Authors: He Jiangnan , Yin Xiaoyin
Published: April 2021

In recent years, with the rapid development of China’s Internet information industry, in this environment, the e-commerce economy has also obtained a lot of room for development. The active development of e-commerce has promoted the rapid development of my country’s national economy to a large extent. Since 2015, China’s e-commerce economy has begun a new development path. “With the holding of large shopping festivals such as “Double Eleven” and “Double Twelfth”, people began to realize the convenience of e-commerce. With the rapid increase in the transaction volume of electronic platforms such as Tmall, it has brought people to their daily lives. The great convenience has laid the foundation for the economic development of e-commerce. This article studies the innovation of e-commerce through the business model of Internet companies. Through the business model of Internet companies, what are the plans for some electronic trading platforms? According to Alibaba’s announcement, according to the data, sales of Tmall’s “Double Eleven” this year were 498.2 billion yuan, a record high once again. In contrast, according to official data released by http://JD.com, from 0:00 on November 1 to 2020. As of 23:59 on November 11, JD’s 11.11 global love season’s cumulative order volume exceeded 271.5 billion yuan, setting a new record again. At 0:00,http://Suning.com released a full battle report from November 1 to 11. At 23:59, double 11 online orders increased by 75%. It can be seen that the business models of various Internet companies use specific time to launch sales activities, which is the innovative path of e-commerce.
Capability-Based Poverty Reduction in Deep-Poor Areas Based on Big Data-- a Case Study of J County, Liangshan Prefecture, Sichuan Province
Authors: Sang Wanqing , Guo Xiaoming
Published: April 2021

As the key area of poverty alleviation, the poverty problem is still serious, the problem of poverty alleviation is not sustainable, and the causes and manifestations of poverty are interwoven, it is more difficult to solve the problem of poverty because of the lack of endogenous development ability of the poor population, including the “demand” of seeking development and the “ability” of realizing demand. Therefore, this paper takes j county of Liangshan Prefecture in Sichuan Province as the object of investigation, and uses the theory of Amartya Sen to analyze the relationship between the capability of the poor population and poverty, the basic survival and development, productive capacity and development capacity of the poverty-stricken population all affect their poverty and are the factors that can not be ignored to achieve sustainable poverty eradication in the deep-poverty areas.
Relationship between Residential Area Distribution and Terrain Factors
Authors: Chen Xin , Wang Zhicheng
Published: April 2021

Taking residential area as the research object, combined with variable dimension fractal theory, the influence degree of different terrain gradient of elevation, slope and aspect on the number distribution of residential area is studied. The results show that: there are three order cumulative and variable dimension fractal distribution characteristics between the number of residential area distribution and elevation, and the second-order cumulative and variable dimensional fractal distribution between the number of residential area distribution and slope aspect and slope. The influence degree of each topographical factor on the number distribution of residential areas from high to low is slope aspect > slope > elevation.
RETRACTED: Under the Background of Big Data, Information-Based Teaching has Great Influence on the Development of College Students’ Employability
Authors: Yi Cuijuan
Published: April 2021

College students are an important human resource and an important driving force for China’s social and economic development. With the continuous expansion of the scale of college enrollment nationwide, college education has changed from “elite” to “mass”, and the employment mode of college students has changed, and they are also facing the change of employment management functions. How to better guide and help graduates to find jobs is an urgent problem to be solved. This paper mainly studies the influence of information-based teaching on the development of college students’ employability under the background of big data. Through questionnaire survey, this paper has collected various data of fresh college graduates from different educational levels and professional backgrounds and conducted data processing and data analysis. The experimental results show that in the study on the impact of information education on college students’ employability, 24.1% of the variance can be explained, and the independent variable ACTS on college students’ employability and is not affected by the controlled variable. The regression coefficients of information education were 0.213 and 0.209 respectively, both reaching the significance level. Information education has a significant positive effect on college students’ employability.
Realization Mechanism of School-Family-Community Sports Integration Model in the Network Age
Authors: Wang Fubin , Huang Qiong
Published: April 2021

In the publicity process, it is done jointly by establishing a We Chat public account, using online platforms and community bulletin boards, and promoting the development of community student sports activities by improving residents’ sports awareness. Parent sports school is a form composed of parent members to spread sports knowledge. Invite school medical staff or community health security personnel to teach parents how to maintain a good lifestyle. Help parents to acquire correct educational concepts and scientific methods for children’s physical education. Parents’ sports schools can carry out activities that suit them according to local conditions. Schools are built on the community, teachers and community managers can increase communication to make better use of community public resources, and at the same time enhance the community’s participation in sports activities and encourage others to participate in sports. In the social network publicity methods, 22.9% have sports information publicity, and 77.1% have no network publicity. This research is helpful to the further promotion of sports.
Nanophotosensitizers for cancer therapy: a promising technology?
Authors: dos Santos Ancély Ferreira , Arini Gabriel S , de Almeida Daria Raquel Queiroz , Labriola Leticia
Published: April 2021

Photodynamic therapy (PDT) has been clinically applied to cure various diseases including cancer. Indeed, photophrin (porfimer sodium, Axcan Pharma, Montreal, Canada), a heterogenous mixture of porphyrins, was the first photosensitizer (PS) approved for the treatment of human bladder cancer in 1993 in Canada. Over the past 10 years the use of PDT in the treatment of benign and malignant lesions has increased dramatically. However, PDT is still considered as an adjuvant strategy due to its limitations, primarily including low tissue penetration by light and inaccurate lesion selectivity by the PSs. To overcome this scenario, new technologies and approaches including nanotechnology have been incorporated into the concept of PS formulations as PS delivery systems, as PSs per se or as energy transducers. The ideal nanophotosensitizer (NPS) for cancer therapy should possess the following characteristics: biocompatibility and biodegradability without toxicity, stability in physiological conditions, tumor specific targeting, strong near infrared absorption for efficient and sufficient light absorbance and large singlet oxygen quantum yield for PDT. To fulfill these requirements, several nanoscale delivery platforms and materials have been developed. In this review we will focus on the state of the art of nanotechnology contributions to the optimization of PDT as a therapeutic alternative to fight against cancer. For this purpose we will start from the basic concepts of PDT, discuss the versatility in terms of NPS formulations and how to tackle the deficiencies of the current therapy. We also give our critical view and suggest recommendations for improving future research on this area.
Rapid ionization of Xe/Ar mixtures in nanosecond discharges exploiting post-pulse field reversals
Authors: Kim H Y , Gołkowski M , Harid V
Published: April 2021

Enhanced post-pulse electric field reversals of Ar, Xe, and XeAr mixture gases in capacitively coupled nanosecond discharges are investigated with Particle-In-Cell simulations in the context of maximizing electron density. The electric field reversal occurs at the falling edge of the voltage pulse and induces electron oscillatory movement in the plasma bulk region. The amplitude of field reversals is affected by driven voltage and the ratio of bulk length to gap distance. Exploiting the field reversal with a so called Plasma frequency dependent Square Wave (PSW) in an optimal gas mixture leads to the highest electron density. Specifically, for a 250 V PSW XeAr mixture case, the electron density is 2.2 times higher compared to a 1 kV DC pure Xe case even if the driven voltage is 4 times less than DC voltage. In 250 V PSW cases, XeAr mixture plasma has 1.2 times higher average electron density and 1.2 times electron temperature in the sheath region than a pure Xe plasma. With a narrower bulk region, the XeAr plasma has an enhanced field reversal and this leads to higher and faster growing electron density and electron temperature than a Xe plasma. For applications using Xe plasmas, XeAr mixture plasmas with PSW can be exploited for high electron density and temperature at reduced costs.
An insight into the toughness modulus enhancement of high-performance knotted microfibers through the correspondence analysis
Authors: Berardo Alice , Pantano Maria F , Pugno Nicola M
Published: April 2021

A variety of applications, spanning from structural or biomedical engineering to flexible electronics, require the development of materials able to withstand high load and, at the same time, accommodate high strain before failure. While strength and toughness are often self-excluding properties in man-made materials, they can be efficiently combined by nature, which provides source of inspiration for novel materials design. Herein this paper, we pursue a bio-inspired approach, based on the introduction of a mechanical sink, such as a running knot, to improve the toughness modulus of high-performance polymeric microfibres. These are then enriched with additional smart features, such as a viscoelastic coating, surface roughening or a combination of those, to amplify the beneficial effect of the knot introduction. The role played by all such features on the mechanical performances of the prepared fibre samples, namely load at failure and toughness modulus increase, is then evaluated through a statistical technique, known as correspondence analysis (CA). While this exploratory analysis is widely adopted in biology, ecology, neuroscience or genetics, applications in structural or mechanical engineering are still rare. Here, we show that CA can be a powerful tool for the design of materials provided with enhanced toughness without losing strength.
Predicting the duration of chaotic transients in excitable media
Authors: Aron Marcel , Lilienkamp Thomas , Luther Stefan , Parlitz Ulrich
Published: April 2021

The spatiotemporal dynamics of excitable media may exhibit chaotic transients. We investigate this transient chaos in the 2D Fenton–Karma model describing the propagation of electrical excitation waves in cardiac tissue and compute the average duration of chaotic transients in dependence on model parameter values. Furthermore, other characteristics like the dominant frequency, the size of the excitable gap, pseudo ECGs, the number of phase singularities and parameters characterizing the action potential duration restitution curve are determined and it is shown that these quantities can be used to predict the average transient time using polynomial regression.