bluuebunny/crossref_metadata_2025 huggingface dataset:
A Research on key Vision Technologies of Red Revolution site in Gannan Soviet area based on UE4 Virtual engine platform
Authors: Wang Zhiqiang , Li Dandan , Fan Tingting
Published: September 2020

The Red Revolution site in Gannan Soviet area is an important cultural heritage of China, which is represented by Yeping and Shazhouba in Ruijin City, and has important spiritual and cultural value. The red revolution site in Gannan Soviet area is taken as the object of study from the point of view of protection and inheritance. And the visualization technology is studied under the platform of UE4 virtual engine combined with three-dimensional digital technology. In addition, the core technologies such as the model making of 3D Max software, the material construction of UE4 virtual platform and the interface interaction realization of UE4 virtual platform in the visualization technology of red revolution site in Gannan Soviet area are studied. They are all studied by means of field investigation, data measurement and quantitative experiments. At the same time, this paper points out the ways, methods and strategies of realization from the level of visualization technology, and its object characteristic is to combine the revolutionary site with the paper. This also provides a technical guarantee for the development of Red Revolution sites and other similar visualization projects in Gannan Soviet area.
Research on the Application of Western Culture in Tourism Product Image Design
Authors: Xie Liqin
Published: September 2020

Under the background of One Belt and One Road, western cultural factors, especially western taboo culture, should be taken into consideration in the image design of tourism products when developing tourism. Based on the principle of image positioning, this paper puts forward some preliminary suggestions in this regard.
Exploration of the path of art education resources in Colleges and universities in Jiangxi
Authors: Wenqing Lai
Published: September 2020

Art education in colleges and universities is an important part of China’s higher education. It takes art as the content and educates people. Through educational activities, it fosters college students to form correct aesthetic concepts, improve their personal personality, and stimulate their imagination and creativity. The integration of art education into Hakka cultural inheritance has the problem of compatibility between the law of cultural inheritance and the law of education. Efforts should be made to activate static local cultural resources into dynamic educational and cultural capital. Hakka culture curriculum system should be integrated with traditional cultural characteristics and art education concepts. The contents should be closely related to art education, and the Hakka spirit of simplicity and diligence should be transmitted through the connotation of Hakka culture. The “cultural resources into curriculum resources”, “cultural elements into cultural creativity” double path teaching implementation, to achieve the value of Hakka cultural resources inheritance.
Interpretation of Hakka furniture from visual semiotics
Authors: Xie Juan , Zhang Wen
Published: September 2020

Furniture is kind of a symbol or a system composed of symbols, and the profound cultural meaning of what furniture contains can be expressed through the use of furniture symbols, including the regional attributes and cultural connotations of furniture. Hakka furniture is a member of the traditional furniture, with its distinctive style and extremely high artistic and aesthetic value. In this paper, from the perspective of semiotics, using Pierce’s classification of semiotics, combined with the characteristics of Hakka furniture, Hakka furniture symbols to interpret its hidden behind the social significance and aesthetic value.
Multi-dimensional Soundscape Interaction Design at Xi’an Small Wild Goose Pagoda
Authors: Wang Yi , Song Qin , Li Rongchuan
Published: September 2020

Based on the analysis of the soundscape at Small Wild Goose Pagoda (also Xiao Yanta, according to its Chinese pronunciation) from the perspective of “audience-sound-environment”, this article explores the audience’s perception information of the “Yanta Morning Bell”, the symbolic soundscape of the Small Wild Goose Pagoda. To probe audience’s way of acquiring the perception information of the pagoda and the mode of constructing cultural contacts, this article starts with the uniqueness of the soundscape at the Small Wild Goose Pagoda, incorporating visual, hearing, touch and other interactive forms. By immersive experience, audiences can receive cultural information and enrich their cultural knowledge. This study hopes to provide new ideas for the multi-dimensional soundscape interaction design at Small Wild Goose Pagoda.
Home of the Humanistic Spirit of Painting – The pursuit of an art practitioner
Authors: Luo Yao
Published: September 2020

The home of the humanistic spirit of painting is the author’s self-soul question as an art practitioner, Also, the artistic pursuit of the spirit of reflection in the painting works in practice. This article discusses the idea that painting is the mother of language, and language is a rational symbol of painting, painting is the perceptual manifestation of ideas, and the root of Chinese painting is the humanistic spirit. It advocates the return of the humanistic spirit of Chinese painting., and taking Yao Luo’s art as an example. It discusses that the artistic practice of the return of the humanistic spirit of painting, and propose the idea that artists can only create art that is needed by the times if they combine artistic practice with the inherent, and blend Chinese-Western culture with forward-looking humanistic spirit.
Keyword extraction for film reviews based on social network analysis and natural language technology
Authors: Yanan Quan , Fuqiang Tan
Published: September 2020

At present, there are many movie reviews appear on main stream websites, and these evaluations are quite different to the same movie. As a customer, how to choose your favorite movie and television program? To solve this problem, this study attempts to use the semantic analysis of word vectors (Word2vec) semantic analysis in machine learning as a research tool to mine a large number of movie reviews. The research shows that most movie reviews have a certain theme cohesion and their semantic network has quite connected. Through the use of social network analysis and the use of Word2vec word vector technology in natural language processing, it is possible to present a streamlined movie review based on movie review network semantics and keyword extraction, thus helping to select the favorite movie review.
Design of Service Robot for Wearing and Taking off Footwear
Authors: Li Yunsheng , Xiao Anjian , Feng Quanquan , Zou Tian , Tian Chunlai
Published: September 2020

In order to realize the automation and integration of wearing and taking off shoes and socks, a service robot for wearing and taking off footwear was designed to help persons living with waist or leg problems in this paper. Through the analysis of the process of wearing and taking off shoes and socks, the robot could carry out this work automatic. The robot mainly consists of intelligent identification system, device for wearing and removing shoes or socks, mobile mechanical arm and power drive with control system. In addition, an auxiliary foot lifting device is designed to cooperate with the service robot for wearing and taking off footwear. The virtual motion simulation of the machine is carried out, and the feasibility of the machine function and the rationality of the structure design are analyzed here.
Research on multifunctional beds for behavioral disorders in the elderly
Authors: Xi Zeng , Mengdi Yi
Published: September 2020

Objective Through the redesign of hospital beds, we seek better ways for elderly patients to encounter various problems due to physical mobility disorder, and to solve elderly patients, especially elderly patients with severe physical activities, in medical treatment and daily care. Methods Taking the treatment and rehabilitation needs of elderly patients as the design direction and ergonomics as the design standard, the observation method, investigation method and scenario analysis method are used to analyze the active and passive migration of elderly patients in the medical environment. The behavioral needs and behavioral state were recorded, evaluated and analyzed, and the actual problems and causes of the elderly patients due to physical movement were analyzed with the purpose and path of the behavior as clues. Conclusion Through the redesign of hospital beds, we can solve all kinds of problems that elderly patients encounter because of their body movement disorder in the process of seeking medical treatment, avoid secondary injury caused by inappropriate active or passive movement behavior of elderly patients, improve the safety and comfort of elderly patients in the process of seeking medical treatment and rehabilitation, and improve hospital doctors at the same time.
Théâtre-en-Rond et éducation thérapeutique : une rencontre autour des compétences d’adaptation
Authors: Capelle Delphine , Gourand Emilie , Delienne Stéphanie , Vaillant Geneviève
Published: September 2020

Introduction : Le Théâtre-en-Rond se place dans la recherche de la confiance en soi, la confrontation des opinions, la pratique de la coopération, le déclenchement des processus de création, ce qui concourt à l’acquisition de compétences d’adaptation en ETP. Objectifs : Utiliser le Théâtre-en-Rond avec des enfants vivant avec une maladie hémorragique constitutionnelle (MHC) et leur fratrie pour révéler à chacun sa capacité à créer quelque chose de nouveau. Méthode : Dix enfants ont participé à un stage animé par deux artistes et deux soignants-éducateurs. La circulation de la parole, les perceptions sensorielles, la perception spatiale, la notion de fonction ont été les outils utilisés. Résultats : Le spectacle final a permis l’observation de compétences concernant la gestion du stress, les relations interpersonnelles et les choix. Des entretiens individuels et des échelles de sentiment de compétence ont montré une amélioration de la confiance en soi et de l’affirmation de soi. Conclusion : Le théâtre en rond est une méthode utilisable pour l’acquisition des compétences d’adaptation chez des enfants vivant avec une maladie chronique et leur fratrie. En développant le processus de créativité il permettra à l’enfant d’extrapoler pour inventer sa propre norme de santé et affirmer ses choix.
Eisiges Geduldsspiel – Evidenz-Update: Frozen Shoulder
Authors: Haupt-Bertschy Bettina
Published: September 2020

Schmerzen, Bewegungseinschränkungen, Arbeitsunfähigkeit – Menschen mit einer Frozen Shoulder sind in ihrem Alltag sehr eingeschränkt. Die Pathophysiologie hinter der idiopathischen Schultersteife ist nach wie vor unklar. Studien zur Therapie sind sich hingegen einig: Den größten Effekt erzielen Therapeuten mit Techniken, die nur bis zur Schmerzgrenze gehen und nicht darüber hinaus.
Efficient Access to Isoquinolines via Rhodium-Catalyzed Oxidative Annulation of Pyridyl C–H Bonds Directed by Carbonyl with Internal Alkynes
Authors: Li Fuwei , Shi Lijun , Wen Mingshan
Published: September 2020

An efficient synthesis of amino-substituted isoquinolines via Rh(III)-catalyzed oxidative [2+2+2] annulation of pyridines with alkynes has been developed, which is cooperatively enabled by a directing carbonyl and steric hindrance adjacent to the amino group of the pyridine, via a six-membered rhodacyclic intermediate without coordination with the pyridinic nitrogen. The establishment of this C–H activation strategy also paves the way for other oxidative transformations of heterocyclic C–H bonds.
Viscoelastic Tests as Point-of-Care Tests in the Assessment and Management of Bleeding and Thrombosis in Liver Disease
Authors: Janko Natasha , Majeed Ammar , Kemp William , Roberts Stuart K.
Published: September 2020

Viscoelastic point-of-care (VET POC) tests provide a global assessment of hemostasis and have an increasing role in the management of bleeding and blood component delivery across several clinical settings. VET POC tests have a rapid turnaround time, provide a better overall picture of hemostasis, predict bleeding more accurately than conventional coagulation tests, and reduce blood component usage and health care costs. Despite commonly having abnormal conventional coagulation tests, most patients with chronic liver disease have a “rebalanced” hemostasis. However, this hemostatic balance is delicate and these patients are predisposed to both bleeding and thromboembolic events. Over recent years, VET POC tests have been increasingly studied for their potential as better functional tests of hemostasis in liver disease patients. This review provides a background on the most common VET POC tests (thromboelastography and rotational thromboelastometry) and discusses the current evidence for these tests in the prediction and management of bleeding and thrombosis in patients with chronic liver disease, and in liver resection and transplant. With the recent publication of several randomized controlled trials, there is growing evidence that VET POC tests may be used to improve bleeding risk assessment and reduce blood product use in liver disease patients outside of the transplant setting. However, consensus is still lacking regarding the VET POC tests' thresholds that should be used to trigger blood product transfusion. VET POC tests also show promise in predicting thrombosis in patients with liver disease, but further research is needed before they can be used to guide anticoagulant therapy.
Beschaffung von Schutzausrüstung: Clever vorgehen in Zeiten der Pandemie
Authors: König Romy
Published: September 2020

Der Bedarf an Schutzausrüstung, vor allem in Pandemiezeiten, schwankt. Eben noch fahndeten Klinikeinkäufer händeringend nach verfügbaren Atemschutzmasken – nun, da sich diese in den Lagern stapeln, zeichnet sich ein Engpass an Handschuhen ab. Doch es gibt Ideen, wie Kliniken diese Wellenbewegungen abfangen können.
Bevorratung von Schutzausrüstung: „Palettenweise Masken im Lager“
Authors: König Romy
Published: September 2020

Im Interview mit Kim Königer und Stefan Krojer sprechen wir darüber, wie die Kliniken in Bezug auf ausreichend Schutzausrüstung aufgestellt sind und dass in vielen Kliniken eventuell mangelhafte Ware in den Lagern liegt, die unbedingt aus dem Verkehr gezogen werden muss.
Rehabilitation: Auf Links gedreht
Authors: Kohrs Jens
Published: September 2020

Die Pandemie zwingt die deutschen Rehakliniken, ihren (Therapie-)Alltag radikal umzubauen. Ein Wandel ist überfällig, doch nach der Phase des quasi verordneten Leerstands sind viele Häuser ohnehin angezählt. Von einer neuen Normalität ist der Sektor weit entfernt.
Pneumologische Reha: Genesen bedeutet nicht gesund: Der lange Weg zurück ins Leben
Authors: Heeser Alexandra
Published: September 2020

In Deutschland haben sich inzwischen mehr als 244 000 Menschen mit dem Corona-Virus infiziert. Ungefähr 216 200 davon gelten als genesen. Die Mediziner stehen vor der Frage: Wie behandelt man die Folgen einer Erkrankung, von der man noch so gut wie nichts weiß und für die es keine Studienlage gibt? Das ist auch ein spannendes Feld für die Rehabilitation von Corona-Patienten.
Corona-Pandemie: Aus der Krise heraus Standards schaffen
Authors: Thalmayr Maria
Published: September 2020

Trotz teilweise unzureichender Vorbereitung haben die Mitarbeiter des österreichischen Gesundheits-wesens die Corona-Pandemie bisher hervorragend gemeistert – mit enormer Einsatzbereitschaft, Kreativität und Improvisationstalent. Aus der Krise heraus gilt es nun Standards zu schaffen.
Repairing the surface of InAs-based topological heterostructures
Authors: Pauka S. J. , Witt J. D. S. , Allen C. N. , Harlech-Jones B. , Jouan A. , Gardner G. C. , Gronin S. , Wang T. , Thomas C. , Manfra M. J. , Gukelberger J. , Gamble J. , Reilly D. J. , Cassidy M. C.
Published: September 2020

Candidate systems for topologically-protected qubits include two-dimensional electron gases (2DEGs) based on heterostructures exhibiting a strong spin–orbit interaction and superconductivity via the proximity effect. For InAs- or InSb-based materials, the need to form shallow quantum wells to create a hard-gapped p-wave superconducting state often subjects them to fabrication-induced damage, limiting their mobility. Here, we examine scattering mechanisms in processed InAs 2DEG quantum wells and demonstrate a means of increasing their mobility via repairing the semiconductor–dielectric interface. Passivation of charged impurity states with an argon–hydrogen plasma results in a significant increase in the measured mobility and reduction in its variance relative to untreated samples, up to 45 300 cm2/(V s) in a 10 nm deep quantum well.
Fractional information dimensions of complex networks
Authors: Ramirez-Arellano Aldo , Sigarreta Almira José María , Bory-Reyes Juan
Published: September 2020

In this article, new information dimensions of complex networks are introduced underpinned by fractional order entropies proposed in the literature. This fractional approach of the concept of information dimension is applied to several real and synthetic complex networks, and the achieved results are analyzed and compared with the corresponding ones obtained using classic information dimension based on the Shannon entropy. In addition, we have investigated an extensive classification of the treated complex networks in correspondence with the fractional information dimensions.
Fifty years of capacity building in the search for new marine natural products
Authors: Leal Miguel C. , Anaya-Rojas Jaime M. , Munro Murray H. G. , Blunt John W. , Melian Carlos J. , Calado Ricardo , Lürig Moritz D.
Published: September 2020

Significance

This research deals with the development of capacity-building through marine bioresearch from a scientific standpoint, particularly through a new approach based on publication and authorship metrics. By using a 50-y dataset on the discovery of marine natural products, this study draws verifiable conclusions on capacity-building, a process that is often difficult to quantify. This is a stepping-stone toward evidence-based capacity building for bioprospecting as originally envisioned in the framework of high-level international fora, such as the Convention on Biological Diversity and, more recently, the Nagoya Protocol.
New analytical approximate solution of the generalised temperature integral for kinetic reactions
Authors: Lei Xuan-Wei , Liu Jun-Biao , Wang Yue , Yang Rong-Bo , Zhang Xue-Hui , Liang Tong-Xiang
Published: September 2020

Simple closed-form expression of the generalised temperature integral in the basic equation to describe kinetic reactions for solid materials in linear heating process is always suitable for use in determining parameters. Many developed solutions only can give high accuracies on the general conditions. A new analytical approximate solution was deduced in this work. The deviations of this solution from the true value are fully analysed. This solution takes advantage in broader application conditions than other known solutions. The application of the new analytical approximate solution in austenite kinetic reaction in this work reinforces that austenite reaction rate is feasible to be given a priori.
Violation of lepton number in 3 units
Authors: Fonseca R M
Published: September 2020

The number of leptons may or may not be a conserved quantity. The Standard Model predicts that it is (in perturbative processes), but there is the well known possibility that new physics violates lepton number in one or two units. The first case (ΔL = 1) is associated to proton decay into mesons plus a lepton or an anti-lepton, while the second one (ΔL = 2) is usually associated to Majorana neutrino masses and neutrinoless double beta decay. It is also conceivable that leptons can only be created or destroyed in groups of three (ΔL = 3). Colliders and proton decay experiments can explore this possibility.
Measurement of charge asymmetry for the

KS→πev

decay and test of CPT symmetry with the KLOE detector
Authors: Di Domenico A
Published: September 2020

Using 1.63 fb−1 of integrated luminosity collected by the KLOE experiment about

7
×

10

4

K
S

→
π
e
v

decays have been reconstructed. The measured value of the charge asymmetry for this decay is AS
= (−4.9 ± 5.7stat
± 2.6
syst
) x 10−3 which is almost twice more precise than the previous KLOE result. The combination of these two measurements gives AS
= (−3.8 ± 5.0
stat
±2.6syst) x 10−3 and, together with the asymmetry of the KL semileptonic decay, provides significant tests of the CPT symmetry. The obtained results are in agreement with CPT invariance.
Implications of symmetries in the scalar sector
Authors: Haber H E , Ogreid O M , Osland P , Rebelo M N
Published: September 2020

Symmetries play a very important rôle in Particle Physics. In extended scalar sectors, the existence of symmetries may permit the models to comply with the experimental constraints in a natural way, and at the same time reduce the number of free parameters. There is a strong interplay among internal symmetries of the scalar potential, its CP properties and mass degeneracies of the physical scalars. Some of these aspects were discussed in this talk.
Localization of IoT networks: An empirical bayesian approach
Authors: Wang Feng , Ma Peng , Guo Jianxin , Zhu Rui
Published: September 2020

Location information is an important component of big data, so it has attracted many researchers’ attention to obtain the location of the target based on edge computing. However, in the actual application scenario, due to the influence of non-line-of-sight (NLOS) propagation, relative localization of anchorless networks in complex scenarios is a challenging issue. In this paper, we propose a robust localization framework based on a distributed architecture, which is suitable for the edge computing environment. The proposed framework consists of three steps, firstly, using hierarchical clustering method, the network is divided into several sub-clusters with a small number of nodes. Secondly, in each sub-cluster, outlier detection and low-rank matrix completion algorithms are used to complete the Euclidian distance matrix (EDM), furthermore, MDS is used to calculate the relative coordinates. In the last step, the relative coordinates of all sub-clusters are transformed and stitched to realize the whole network localization. In order to verify the effectiveness of the proposed framework, we carry out a large number of numerical simulations, the results show that our framework can effectively eliminate the outliers caused by NLOS and improve the localization performance in a complex environment.
Analysis of application of machine learning based on bibliometrics in pattern recognition
Authors: Huang Jin , Tu Wenyan , Yuan Qing
Published: September 2020

This paper analyzes the application of machine learning in pattern recognition by using bibliometrics methods, keyword cluster analysis, and burst terms detection. According to analysis, the number of published studies on the application of machine learning in pattern recognition has shown a rapid growth trend in recent years. The top five countries with published volumes are the United States, China, the United Kingdom, Germany, and India. According to the results of keyword co-occurrence cluster analysis, it is found that the hot research topics in this field mainly include feature extraction, support vector machines, and neural networks. Research topics include functional magnetic resonance imaging, deep learning and image processing, bioinformatics and fuzzy logic systems, semi-supervised learning and face recognition. According to the analysis of burst terms detection results, it is found that future research frontiers include big data, sensors, classifier integration, entropy, pattern classification, attribute reduction, image analysis, principal component analysis, fuzzy logic, Alzheimer’s disease, magnetic resonance imaging, etc.
Learning recommendation based on hybrid collaborative filtering algorithm
Authors: Huang Xuejian , Wang Gensheng
Published: September 2020

To solve the sparse matrix problem of learning resource recommendation algorithm based on collaborative filtering, a hybrid recommendation algorithm combining user learning behaviour and rating is proposed. First of all, learning behaviour characteristics are defined and different characteristics are given weight values; then, according to the user’s learning behaviour log, the method of weight accumulation to calculate the user’s learning behaviour value of resources is used; finally, the learning behaviour matrix and rating matrix is used to build a hybrid collaborative filtering recommendation algorithm. Experimental results show that the hybrid recommendation algorithm has lower root mean square error than the traditional collaborative filtering algorithm.
The construction of a flipped classroom teaching mode of College English based on Rainclass and its effectiveness analysis
Authors: Zeng Ruiyun , Li Qianmei
Published: September 2020

This study constructs a flipped classroom teaching mode for College English based on the teaching platform of Rainclass, and conducts a semester long practice of flipped classroom teaching in an advanced English class in GUET, aiming to explore the impact of flipped classroom teaching mode on the improvement of English level of higher-level learners. It is found that under the flipped classroom teaching mode, the overall improvement of students’ English level is significantly higher than that of learners with the same level under the traditional teaching mode. In terms of individual language skills, the flipped classroom teaching mode is more effective in improving students’ writing, translating and reading skills, while less obvious in the improvement of their listening skills.
Polygon graphic recognition based on improved fast corner detection
Authors: Gu Jinfeng , Liu Weizhou
Published: September 2020

The accuracy of polygon graphic recognition based on chain code features and Hough transform is low, and the computation is limited. Therefore, this paper proposes a polygon graphic recognition method based on improved features from accelerated segment test (FAST) corner detection. First, hole filling and Freeman chain code are used to segment the image, and the regular geometric features are obtained. Second, in order to improve the performance of the algorithm, an improved FAST corner detection combined with DBSCAN (Density-Based Spatial Clustering of Applications with Noise) is proposed. Through clustering, false corner in the image can be eliminated, and the feature points are quickly filtered by local NMS (non-maximum suppression). Finally, polygon graphic recognition is realized by feature points, experimental results illustrate that this method has high calculation efficiency and recognition rate.
Application of SVM in anomaly detection based on sampling and feature extraction
Authors: Dong Kaikun , Shi Jiao , Guo Li , Yuan Fang
Published: September 2020

In order to identify the four types of attacks in the KDD99 data set, an anomaly detection model based on supporting vector machines is proposed. The model uses supporting vector machines to train five classifiers and detects the attacks by integrating the classification results of the five classifiers. Aiming at the problem that the detection model has a low recall rate when detecting some categories, a feature extraction method based on abnormal proportion analysis is proposed to extract effective feature combinations for each classifier, and a sampling technique is used to preprocess the training set of each classifier. Experimental results show that the improved anomaly detection model can not only improve the performance of each classifier, but also improve the comprehensive discrimination performance of the five classifiers.
A Canny operator road edge detection method based on color features
Authors: Wang Shigang , Wu Shukun , Wang Xuesong , Li Zhenglin
Published: September 2020

The road edge detection method, proposed by us, highlights the morphological and color features of the road in the image. The method performs color space conversion and color feature screening on color images containing road information, and Canny operator is used for edge detection. Then the edge detection results are detected by straight lines, and the road edges are detected and marked based on the principle of Hough transform. The experiment of edge detection on road pictures with complex background proves that the detection method can better detect the road edge. The novelty of this method is to combine several principles such as color feature screening, Canny operator and Hough transform. Therefore, a new method of road edge detection is formed.
Research on evaluation algorithm of key nodes in urban road traffic network based on complex network
Authors: Zhu Canshi , Wang Xiaoyang
Published: September 2020

Urban road traffic planning is a complicated project. If this project is abstracted as a complex network, the smoothness of important nodes in the network will have a significant impact on the smooth flow of the entire city. How to evaluate the importance of urban road traffic network nodes optimizing key nodes as much as possible is the key to transportation planning. This paper proposes a complex network node “structural hole” impact matrix to evaluate key nodes, constructs key node evaluation criteria, and simulates and analyses smaller-scale networks. The results show that this method can accurately and effectively evaluate the criticality of nodes. The use of its research results can provide a decision basis for alleviating the current urban traffic congestion.
Acute toxicity of salinity to Sinogastromyzon Szechuanensis
Authors: Chen Xiaojiang , Song Lin , Li Wei , Wu Jiangu
Published: September 2020

We set a salinity gradient, and then measure the tolerance of Sinogastromyzon szechuanensis to salinity at the initial stage and after a period of adaptation. The results show that the half lethal concentrations (LC50) of Sinogastromyzon szechuanensis at 24 h, 48 h, 72 h and 96 h are 10.50 g/L, 10.15 g/L, 9.83 g/L and 9.46 g/L respectively, and the safe concentration is 2.32 g/L. In the early stage of salinity mutation, the respiratory frequency of Sinogastromyzon szechuanensis increases with the increase of salinity. The respiratory frequency of 4 g/L group is 177±10.42 times/min, significantly higher than that of 0g/L group (P<0.05). After 4h of adaptation, when the salinity is 0-7 g/L, the respiratory rate decreases compared with the initial stage, when the salinity is above 7 g/L, the respiratory rate increases significantly compared with the initial stage (P<0.05). The respiratory rate of 2 g/L group is 150.0±5.57 times/min, which is significantly higher than that of 0 g/L group (P<0.05), and the salinity is close to the safe concentration, 2.32 g/L. Under 0∼7 g/L salinity stress, after 4h adaption in each salinity group, the asphyxia point of Sinogastromyzon szechuanensis first decreases and then increases with the increase of salinity, and the asphyxia point of 2 g/L is the lowest, 0.81±0.02 mg/L. After 96 h adaptation, the asphyxia point of Sinogastromyzon szechuanensis in each salinity group decreases, and the asphyxia point of 0-1 g/L is the lowest, 0.60±0.06 mg/L. Conclusion: Sinogastromyzon szechuanensis has a low salinity tolerance, and its asphyxiation point is higher than that of common freshwater fish. Therefore, we suggest controlling the salinity to be 0∼2 g/L, which is helpful to enhance the hypoxia tolerance and survival rate of Sinogastromyzon szechuanensis.
Research on resource construction and allocation model of university library based on principal component analysis
Authors: Liu Runzhi , Li Mei , Zhao Linlin , Lv Zhongmin , Zhang Yu
Published: September 2020

University library is the document information center of a university. It is an academic institution serving for teaching and scientific research. The quality of document information resources construction directly affects the service level of library. In order to realize the objectivity, significances and operability of the resource construction and allocation of university library, this paper considers many factors that affect the service quality of the library and establishes the corresponding research model. In the model design, taking the general library of Peking University as the research object, the principal component analysis method is used to analyze and process the data through software, and the principal component is selected as the independent variable to establish the linear regression mode. The validity of the model is verified by comparing the predicted result with the actual value, and some reasonable suggestions are put forward for the resource construction and allocation of university library.
Repairing of fatigue-damaged steel component with single sided CFRP lamellas under tensile cyclic stress
Authors: Dong Jiwu
Published: September 2020

Many bridges withstand the increasing loadings and fatigue damage, which threaten the safety of the bridges. In order to investigate the effect of CFRP on repairing fatigue damaged steel plate, the experimental test of a center-notched steel plate bonded CFRP lamellas was carried out. XFEM was used to further study the main factors affect the repairment of CFRP sheets. The quantified index of the effect of CFRP on steel member using the ratio of the remaining fatigue life of fatigue damaged steel plate strengthened of CFRP to that without any reinforcement. The result shows that the effective stress range, prestress level in the CPRP, relative initial fatigue crack length, and the width of CFRP dramatically affect the rehabilitation of CFRP.
Exploring the path of cultivating students’ professional ability based on DEMATEL method
Authors: Qu Ying , Zhang Xiaowei
Published: September 2020

In order to strengthen students’ understanding of the curriculum system, improve the effect of teachers’ teaching and students’ learning, the training route of students’ ability is designed. Taking the information management and information system specialty of a university as an example, this paper introduces DEMATEL method into the analysis of training scheme structure, and identifies the basic courses and core courses in the curriculum system by calculating the correlation degree of each course, which provides a theoretical basis for the allocation and arrangement of course hours, provides a reference for teachers to impart knowledge, students to select courses, and both sides to clarify the knowledge context. This paper divides the curriculum ability group into curriculum ability groups, clarifies the connection between courses, and provides strong support for the formulation of curriculum plan. It also designs the training path of students’ ability from the perspectives of course study time and teaching content.
Applied logistic model to quantitative analysis of university student management
Authors: Li Lina , Qin Long
Published: September 2020

With China’s emphasis on education and the constantly reform of education system, the management of students has been constantly improved. Colleges and universities are the places to train higher talents. The management of students should follow the educational reform in order to optimize the management mode and improve the management system. Based on the idea of Logistic regression, this paper establishes the evaluation model of college students’ management work. In order to fully improve the accuracy of the model, students’ satisfaction with the management of dormitory, bathhouse, library, canteen and other places is taken as the independent variable, and the overall school management satisfaction is taken as the dependent variable. Through the comparison of Logistic regression prediction and actual survey results, the accuracy and practicability of the model are tested, which is of great reference significance to the management of college students.
Multi-label text classification algorithm based on semi-supervised learning
Authors: Tu Min , Xu Shiyang
Published: September 2020

The standard Co-Training algorithm can effectively improve the performance of the classifier by using unlabeled data. In fact, however, it is difficult to meet the requirement of sufficient and redundant views At the same time, the constraints of Co-Training is further relaxed to solve the problem of inaccurate confidence estimation of unlabeled samples. In this paper, imml-knn and mlplsa-knn are used to train the basic classifiers with great difference. By using unlabeled data in the way of providing Pseudotag sample to each other, a Multi-Label Text Classification Algorithm CT-MLTC based on Co-Training is proposed. Experimental results show that the algorithm has good performance in multi label text classification tasks with more unlabeled data.
Quantitative study on factors affecting the price of residential real estate multiple linear regression model
Authors: Cui Faqiang
Published: September 2020

To study the impact of the “zero threshold” household entry policy on the fluctuation of residential commodity housing prices in Jinan, this paper uses the average sales price data of residential commodity housing in Jinan from 2006 to 2018, selects 6 relevant indicators including the total population at the end of the year, and constructs a multiple linear regression. The model uses Eviews7.2 software, innovatively implies variables such as equivalent sound level, performs stepwise regression analysis, weighted correction regression model correction, and performs statistical tests such as heteroscedasticity and sequence correlation. The results show that the local general public budget expenditure and the average equivalent sound level of roads and environment have a positive impact on prices, while the local general public budget revenue and the total population at the end of the year have a negative impact on prices.
Research on influence factors of college students’ employment satisfaction based on structural equation model
Authors: Xiao Hongxin , Chen Qiuhua
Published: September 2020

Based on the questionnaire data of 3241 graduates graduated from universities and colleges in Fujian Province, this research paper empirically analyzes the impact of “innovation and entrepreneurship” education on college students’ employment satisfaction by using structural equation model. which indicates: that the four-dimension factors of innovation and entrepreneurship education, college students’ opinions on higher education, employment demand-side factors and human resources have positive effects on graduates’ employment satisfaction, but the factor of innovation and entrepreneurship education has the most significant impact. Therefore, it proposes to give the support for college students’ innovation and entrepreneurship efforts; perfect the employment and entrepreneurship service system for college graduates; change college students’ concept of job hunting and entrepreneurship or otherwise improve college students’ employment satisfaction.
Vibration characteristic simulation and finite elementAnalysis of vehicle compressor impeller based on ANSYS
Authors: Cao Wen
Published: September 2020

The vehicle compressor impeller of the turbocharger of the vehicle is often damaged by the vibration. Model analysis for the compressor impeller is a kind of common means to avoid resonance between the impeller and natural frequency. Based on the software of ANSYS, the mid and low order nature frequency of vehicle compressor impellerwas simulated and calculated by the method of submodel, and Campbell chart was drawn according to the results. The resonance speed of the nature frequency of compressor impeller was found, thus reference for optimal design of the compressor impeller was provided.
The measure of poverty alleviation efficiency of tourism and spatiotemporal differentiation in Southwest China according to DEA-malmquist approach
Authors: Ma Yanling , Ma Feifei , Zheng Shaoheng
Published: September 2020

To describe the pro-poor tourism efficiency and spatial-temporal features, this paper uses Data Envelopment Analysis (DEA), Malmquist index and ArcGIS to analyze the data of Southwest China from 2012 to 2019. The results show that there are significant regional differences in the efficiency of targeted poverty alleviation of tourism in Southwest China, and the efficiency value increases from Sichuan to the surrounding areas, and the overall pattern is “high in the middle and low in the surrounding areas”; the tourism industry in some regions is in the stage of transformation and development, and the carrying capacity of tourism resources is insufficient; The overall efficiency of poverty alleviation in Southwest China is on the rise Tourism income in Guizhou has a weak driving force to increase the income of the poor. This paper shows the overall evolution of the poverty alleviation efficiency of tourism in Southwest China under the promotion of economic development and government in the past 10 years driven, and empirically demonstrates the poverty alleviation efficiency of Southwest China promoted by the government to win the battle of poverty alleviation in 2020. It provides a perspective and method to analyze the efficiency of government-driven tourism poverty alleviation.
Research on the adverse reactions of medicines based on deep learning models
Authors: Li Naiwei , Cheng Ziyi , Woo Youngmin , Ha Jongmyung , Kim Andre
Published: September 2020

The frequent occurrence of adverse drug reactions in medical events has become the focus of increasing attention in various countries. The quality of adverse reaction reports is the basis for medical risk assessment and analysis. Only by obtaining high-quality and valuable information can scientific treatment be carried out. Analysis, however, at present, there is no quantitative analysis on the relationship between the factors affecting adverse drug reactions and the degree of adverse reactions. There are few reasonable mathematical models. This article adopts the method of deep learning to establish a “human-machine material law ring”. “The mathematical model between the five factors and the degree of adverse drug reactions in China analyzes adverse drug reactions in China, and provides effective guidance for reducing drug accidents and improving China’s adverse drug reaction monitoring system.
The influence of swine fever on China’s pork market based on unit root tests
Authors: Sun Ziran , Zhou Huiming , Wang Ke , Dan Mengfei
Published: September 2020

Swine fever was introduced into China in August 2018 and has influenced Chinese pork market to a large extent. Based on the law of one price (LOOP) theory, this article selects data from January 1, 2014 to November 30, 2019, using unit root test and OLS to examine the convergence in China’s pork market relative to Beijing. It turned out that LOOP did not hold in China before the swine fever but hold after; Only three provinces showed the same results as the national context, while the data of all the other provinces remained stable, and there was no swine fever. Factors influencing the existence of LOOP are analyzed based on the previous results.Therefore, the results show that population, the length of classified highway and the introduction of swine fever are the significant factors; while the introduction of swine fever exerts the largest impact on LOOP in Chinese pork market.
Preliminary investigation of flapping paper inside a file
Authors: Kannan B T
Published: September 2020

The present paper is about the flapping mechanism of a paper locked inside a file. The investigation consists of visualization of flapping phenomenon and acoustic measurements resulting from the flapping. The normal ceiling fan is used as a source for the flow. The axial flow is converted to wall jet flow by using a surface perpendicular to the axis of the fan. The file placed with an offset from the fan which produces instabilities and in turn triggers the flapping mechanism. A super slow-motion camera is used to record the phenomenon and a microphone is used for acoustic measurements. The time-series results reveal the intermittent nature of the flow. The acoustic measurements reveal the noise sources and their frequencies via Fast Fourier Transformation.
Investigation and analysis on child rescue system from open bore well
Authors: Karthik S , Mohankumar D K , Chandramohan K , Udaiyakumar K C
Published: September 2020

In recent days, there are a lot of cases related to a child stuck in an open bore well. The actual methods involved in rescue are pulling the child using a rope with different knots or digging a parallel line beside the open bore using machines to the depth at which the child is stuck, the child is then pulled from the depth. But at deeper bore wells, these methods fail. This paper deals with a design to save a child who is stuck in manhole or open bore-well. Using this design the child can be easily rescued from the open bore wells, as this design includes hydraulic arm to hold the child with grips which won’t slip due to sweat or wet condition of the bore well, the locking mechanism to hold the rescue system in one place inside the pit once it reaches the depth at which the child is stuck. A live streaming video surveillance for monitoring the child motion, oxygen supply channel for the child and a communication system to have contact.
Design and analysis of hybrid composite using the finite element method
Authors: Talukdar Arindam , Ghosh Arnab , Saha Sanchari , Roy Sandipan , Datta Shubhabrata
Published: September 2020

Hybrid composites are those composites that have a combination of two or more reinforcement fibres and could be used for the superior properties that are unachievable by any monolithic material. The objective of the present study is to design the aluminium-epoxy hybrid composite of varying number of fiber strands. The fibres are kept in 0°/90° orientation and the width of the fibre strands is varied in the analysis keeping the length and the height of the matrix constant. A 100 N load is applied on the hybrid composite block and the corresponding mechanical behaviour along with the material properties is obtained using finite element analysis (FEA). The results observed in the 0/90 orientation of the hybrid composite include the assembly stress distribution and assembly displacement. The parameters are varied to obtain the corresponding set of results and the optimized structure is suggested using FEA.
Design and fabrication of beach cleaning machine
Authors: Balasuthagar C , Shanmugam Dinesh , Vigneshwaran K
Published: September 2020

Beaches are one of the main tourist attractions in the coastal parts of India. They are also the most polluted. Most government neglected cleaning of beaches. The main reason being the difficult nature of cleaning it. It takes up lot of resources and time. The workers need to manually pick the waste. The waste when thrown in the sand gets covered with the sand by the heavy coastal winds. This makes the spotting of waste difficult. It is difficult for the workers to clean as they have to dig each cubic feet to collect the waste. The heat and humid climate of the beaches makes the working conditions worse. Many organisations and government bodies are taking several steps to get rid of the waste accumulated in beaches more effectively. India has a long stretch of coastline of about 7517 Km with nearly 170 famous beaches both on eastern and western coasts. Our aim of work is to design and fabricate the beach cleaning machine. We have created a simple economical design so that it will be easy for maintenance and use. The parts have been sourced locally so replacement parts will be easier to get. The machine is environment friendly and can run in any conditions offered by the beach. We have designed and manufactured a beach cleaning machine which is both cheap and easy to use. It does not have a huge learning curve. The machine runs on human power or electric motor. The electric motor is powered by solar panels. This gives an advantage over the current models available in the market which runs in fuel motors. The entire machine is able to fit in the rear of a car.