bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan metode pembelajaran daring dalam mata pelajaran bahasa Indonesia di SDN 1 Guntung Manggis
Authors: Ristiani Ristiani
Published: October 2022

Penelitian ini dilatar belakangi rendahnya hasil belajar Bahasa Indonesia peserta didik kelas III SDN 1 Guntung Manggis yang bisa dilihat dari nilai ulangan harian peserta didik yang mempunyai kriteria belum tuntas sebesar 60%, sedangkan viriteria tuntas 40%. hasil belajar rendah diakibatkan karena pembelajaran saat ini menggunakan aplikasi WhatsApp jadi ada beberapa peserta didik yang tidak memilikihandphone dan peserta didik itu pun ada yang tertinggal dengan pembelajaran tersebut, ada juga yang tidak terlalu faham dan kurang dalam pemahaman materi yang dikirimkan oleh pendidik melalui whatsApp. Untuk itu peneliti menerapkan metode pembelajara daring dalam mata pelajaran Bahasa Indonesia. Metode pembelajaran I disini menggunakan aplikasi whatsApp grub, subyek dalam penelitian ini ialah peserta didik kelas III sejumlah 20 peserta didik. Teknik pengumpulan data yang dipakai yakni Observasi, wawancara dan dokumentasi. Hasil penelitian menunjukan hasil yang baik dengan konsistennya pendidik dalam memotivasi siswa dan orang tua peserta didik selaku pendamping belajar peserta didik dalam melakukan aktivitas didalam WhatsApp grub seperti memosting materi yang akan dipelajari, memberikan penjelasan tentang materi tersebut hingga pemberian tugas yang dikumpul.
Health Information System
Authors: Kutto Winnie ,   Rongo University
Published: October 2022

The majority of low and middle-income countries (LMICs) have frequently implemented health information systems (HIS) in response to international pressure to account for health care investments. Health information can facilitate better planning and monitoring health services, which may lead to improved health outcomes, which is the concept behind robust and effective HIS. However, the use of health information systems (HIS) as accountability tools has frequently been criticized for being counterproductive because they give health information more significance to international organizations and national governments than to those in charge of local health services. This paper aims to examine how HIS influence the development of local accountability practices and their effects on health care delivery. The technology domain of HIS is combined with a theoretical perspective derived from structuration theory. A case study of HIS in Kenya is analyzed from this point of view. The findings have implications for the application of structuration theory to comprehending accountability and the significance of IT materiality in structuration processes. It contributes to a deeper comprehension of how HIS can foster enhanced human development and health care. It also contributes to the comprehension of IS as a means of socialization through which users can negotiate multiple accountability goals as well as a means of governing people's behavior. Keywords: Health, Information systems, Healthcare
NON-INVASIVE ESTHETIC REHABILITATION OF ANTERIOR DIASTEMA WITH DIRECT COMPOSITE RESTORATION
Authors: Rahaju Asih , Rositoh Itoh
Published: October 2022

Diastema is a gap between adjacent teeth that occur physiologically from the teeth eruption. However, diastema between the maxillary central incisors in an adult can be an aesthetic problem and sometimes impair speech. Diastema treatment with low or enlarged superior labial frenulum includes frenectomy, orthodontic treatment, veneers, crown, and bridge or resin-based composite direct restorations. This case report will discuss the rehabilitation of diastema in an aesthetic zone of maxillary central incisors due to low frenulum attachment. It was done by a minimally invasive approach using direct composite restoration, completed within several hours after the study model was analyzed, and much less expensive than other forms of treatment. The protocol involved model analysis, smile design, mock-up, silicon index creation, and composite selection. Patient cooperation and understanding of the limitations are critical to long-term treatment success. The direct composite resin is a fast, simple method yet durable to achieve good improvement of small diastema in the aesthetic zone. And stable after three years.
How does technology embed and empower education governance? -- Analysis based on governance long period theory
Authors: Lai Xiyan
Published: October 2022

With the development of technology, education is becoming more and more intelligent. Technology also affects education governance, promote the modernization of national governance system and governance capacity. However, it is still unclear what role technology plays in education governance and how the government should carry out technology governance.This paper analyzes the relationship between technology and educational governance based on the long period theory of governance.It is found that from the perspective of long cycle, the educational governance of technology embedding will experience the old pattern, the new pattern and the updated pattern, and finally form the governance pattern of technology and governance updating with the same frequency.In addition, using SCP model, it is found that technology can empower educational governance in organizational structure, government behavior, and technological effectiveness.
A study of music revolution based on influence network and similarity test
Authors: Jing Wenchun , Chen Yaxuan , Qiu Quanrun
Published: October 2022

This paper develops a method to quantify the evolution of music and understand the role of humans in the evolution of music. First, a directional music influence network was set to show the parameters of "music influence". Then, a sub-network of the direct influencer network was established to obtain influence relationships, and "musical influence" was described and stored in this sub-network. Finally, a music similarity test model is used to compare which is more similar between artists of the same genre and artists of different genres. By comparing the influence and similarity between genres, the difference and connection of genres was got. Analyze whether "influencers" can actually influence their artists and their music through the above-mentioned similarity data. Then analyze the influence of music characteristics. Identify features representing major evolutions in the development of music from the data and get influencers in the network that represent major evolutions; analyze the evolution of a musical genre over time and explain how the genre or artist has changed over time; and illustrate how the model Express the social, political or technological change at the time.
The Effect of English Proficiency on Chinese Learners’ L2 Refusals
Authors: Yang Yuhang
Published: October 2022

This study investigated the effect of English proficiency on Chinese learners’ L2 refusal productions. 40 participants were divided into two groups according to proficiency and their refusals were elicited online using two low-setting open-ended role plays. Results demonstrated that English proficiency had a noteworthy influence on L2 refusals from both quantitative and qualitative perspectives. Different linguistic knowledge, the competence of processing, expression, and interaction, and degrees of negative L1 transfer all resulted in the different refusal performances of the two groups. Moreover, this study supported that even advanced English learners lack enough L2 pragmatic competence, which had pedagogical implications.
Sentimental Analysis Applied on Movie Reviews
Authors: Su Sichang
Published: October 2022

Nowadays, Natural Language Processing has received the widespread attention from the natural sciences, and sentimental analysis is one of the most widely used NLP applications. In the age of big data, how to find the required information accurately and quickly has become the hotspot of current research. Based on the movie reviews of two movies from the same series, this paper studies the sentimental trend of movies reviews, in order to help the audience obtain a reference for movie choices. Term frequency-Inverse Document Frequency (TF-IDF) algorithm is applied to evaluate the importance of words in the reviews, and TextBlob sentiment analysis library of Python software is used to grade the sentiment scores of the two films. Finally, the sentiment score graph is drawn, which provides a strong support for the further identification of the movie characteristics of two films from the same series. What’s more, Support vector machines (SVM) model is utilized to do the classification of the movie reviews and achieved 85.2% accuracy.
Research on "De-dollarization" and RMB Development in Central Asian Countries during 2010-2021
Authors: Zhang Jiahua
Published: October 2022

At present, as the international monetary system is changing, it is particularly important to choose between "dollarization" and "de-dollarization". In recent years, it is not difficult to find through international current politics and other channels that Central Asian countries, as one of the regions with the highest degree of dollarization, are promoting the relevant strategies of "de-dollarization". Because the accuracy of the research is affected by many unpredictable and inevitable factors, the relevant data of Central Asian countries in the past decade was finally selected as the research direction. This paper will introduce WDI database, National Central Bank Database and so on to observe the trend of countries in combination with linear models, as well as observe and analyze the data with different time dimension information. Finally, it is concluded that the trend of de-dollarization is flourishing, and at the same time, it is a very positive signal for the development of RMB.
Reflections on the Concept, Classification and Application of "Assertion" Under the New Standards
Authors: Deng Lingfeng , Peng Junying
Published: October 2022

Continuing to converge with international auditing standards, China revised auditing standards in 2019. The new standard closely follows ISA 315, which revises the classification of "assertion". In auditing practice, certified public accountants need to correctly understand the concept and classification of "assertion", and use "assertion" reasonably to consider different types of potential misstatements that may exist in the entity, so that they can design and implement more targeted auditing. procedures to collect sufficient and appropriate audit evidence. The article sorts out the origin and evolution of the relevant theories of "assertion", combined with the identification and response to the misstatement of "assertion" in the audit practice work of Chinese certified public accountants, summarizes the misunderstanding and application of "assertion", and then from the two levels of theory and practice. Think about the concept, classification and application of "assertion", in order to enlighten the audit practice.
Analysis on The Licensing of Standard Essential Patents and Its Anti-trust Regulation for Intelligent Connected Vehicle
Authors: Wang Junlei , Wang Liangliang , Long Yue
Published: October 2022

Intelligent Connected Vehicle (ICV) is one of the most important strategic industries in China, which with both technology and standard intensive characteristics. Standard Essential Patents (SEPs) have become the focus of competition globally in the automotive industry. Even though resources are invested heavily in research and development by automotive related companies, almost all the major automotive companies are facing the licensing and litigation problems caused by SEPs. In comparison with the patent law and other private laws, it is more applicable to regulate the abuse of SEPs from the perspective of anti-trust in China. Topics like how to deal with the “patent hold-up”, how to deal with the potential anti-trust violations, how to apply FRAND principles and anti-trust regulations to SEPs licensing, and how to build a rate calculation framework in the automotive industry, should be analyzed seriously.
The Exchange Rate of RMB Has Positive Influence to Chinese Stock Prices
Authors: Lu Jinghan
Published: October 2022

After the exchange rate reform on August 11, 2015, the RMB exchange rate has had an increasing impact on my country's stock price. The study of exchange rate changes plays a very important role in stabilizing a country's stock price. This paper first introduces the transmission mechanism of exchange rate to stock prices from three aspects, and then establishes a multiple linear regression equation, using the closing price of the CSI 500 Index and the exchange rate of RMB against the US dollar as the descriptive indicators of the stock price and exchange rate, respectively, and the consumer price Index, producer price index, purchasing manager index, and money supply are used as control variables to empirically test the effect. Finally, the conclusion is drawn that my country's stock price and the RMB exchange rate change in the same direction.
Research on Mutual Promotion and Win-win Mode of Public Welfare Activities and Brand Marketing of Automobile Enterprises
Authors: Yang Xu , Ding Jianjun , Zhang Yan , Liu Sichen , Zhao Jie
Published: October 2022

At this stage, China's market economy has entered an era of marketing success, with various marketing methods and models emerging in endlessly. No matter what kind of marketing means or model is adopted, the ultimate goal is the same - to obtain the maximum profit at the minimum cost. In today's market operation environment with unprecedented fierce competition, enterprises can not only coordinate the relationship with the government and society but also effectively enhance the competitiveness of enterprises by implementing public welfare marketing and combining public welfare with enterprise strategy.
Research Status of Death Domain-associated Protein
Authors: Huang Zijie
Published: October 2022

Overexpression of death domain-associated protein (DAXX) is a common feature of many cancers, and it structurally has binding sites for many interactors (eg, ARTX, HDAC3). According to functional studies, DAXX interacts with a number of DNA-binding transcription factors (TFs), epigenetic regulators, core histones, and proteins involved in chromatin to induce apoptosis via the extrinsic death receptor pathway. Functions as a co-activator or transcriptional inhibitor of cobalt diplus to regulate gene expression. Current studies have found that DAXX is expressed upregulated in ovarian cancer. Additionally, research has demonstrated that DAXX increases the tumorigenicity of prostate cancer by preventing autophagy pathways. In contrast, patients with pancreatic neuroendocrine tumors have lower survival rates when their DAXX is lost. A powerful breast tumor-initiating cell (TIC) inhibitor, DAXX also inhibits the production of pluripotent and EMT genes via promoters that may bind to pluripotent TIC-related genes. As a result, DAXX has powerful carcinogenic properties and potential new therapeutic targets. This article will introduce the protein from the aspects of DAXX's structure, function, and relationship with cancer.
The Current situation and treatment of PTSD during the novel coronavirus disease 2019 (COVID-19) pandemic
Authors: Shang Yunfei , Zhao Danqi
Published: October 2022

In recent years, with the continuous spread of the COVID-19, the post-traumatic stress disorder (PTSD) has gradually become the major mental disorder which puzzles the people's psychological problems. PTSD has a high incidence rate in people who have experienced one or more trauma, but not all people who have experienced trauma will suffer from PTSD. Research shows that most patients with post-traumatic stress disorder often have one or more other mental diseases, including major depression and substance abuse or others (like bipolar, anxiety and so on). As a mental disorder with high risk and high suicide rate, PTSD is easy to be comorbid with depression, anxiety, sleep disorders and other symptoms, which not only makes patients more painful, but also greatly increases the difficulty of treatment. Although traumatic events are a necessary condition for diagnosis of the PTSD, they are not the sufficient condition for occurrence of the PTSD. At present, a lot of research has been done on PTSD, but its pathogenesis is still not completely clear. The causes may include genetic susceptibility factors, childhood psychological trauma, and other negative life events before and after traumatic events.Psychotherapy and drug treatment are the main treatment schemes for PTSD at present, but in the epidemic environment, these treatments have certain inconveniences, which reflects the advantages of telemedicine. In the future, people should obtain more and more evidence-based evidence from multiple perspectives in order to obtain the best curative effect.
Making Medical Predictions about Diseases with Gene Expression Data
Authors: Li Xuanwei
Published: October 2022

Exploration and studies of human genes play a critical role for improving the healthcare and society development. By using previous data as input, machine learning enables software applications to forecast values more precisely and is a good tool to complete the task of predicting diseases with gene expression data. This paper provides a comprehensive review of studies regarding the combination of machine learning and gene expression analysis related to diseases. The main three applications are (a) the disease prediction: cancer detection and other diseases detection, (b) the control of cancers: the metastasis of cancer and the complete remission of cancers, and (c) the drug response prediction. The reviewed molding method in this paper mainly focus on Regressions, K nearest neighbor (KNN) and Support vector machine (SVM). The combination of gene data and machine learning is meaningful for developing new techniques for detecting diseases and testing new drugs, which improves accuracy and effectiveness.
PepWise: Peptide Identification Algorithms for Tandem Mass Spectrometry Based on the Weight of Pair Amino Acid Fracture
Authors: Zhu Simin , Wu Wenya , Yang Chuanjie
Published: October 2022

Tandem mass spectrometry is the core of the high-throughput techniques for protein identification. Abundant of MS/MS data can be generated and need to be interpreted, although numerous of peptide identification algorithms have been proposed, most well-known algorithms have been prevailingly employed to predict fragment m/z value to assign peptide sequences to spectrum, such as X!Tandem, OMSSA, Sequest, SQID and ProVerB incorporate intensity information into algorithms to assist peptide identification. Hence, we can easily know, different algorithms would use different information from the same MS data sets. Here we describe a novel protein algorithm based on the weight of pair amino acid fracture, named PepWise, compared with Mascot, Sequest at 1% False Discovery Rate (FDR), which verified the more accuracy, robustness and compatibility.
INTERMANUAL TRANSFER OF RETRIEVAL-INDUCED FORGETTING IN MOTOR SEQUENCE LEARNING
Authors: Peng Yingtong
Published: October 2022

Previous studies have found that Retrieval-Induced Forgetting (RIF) affects motor-sequence learning on the keyboard, but no studies have examined whether practicing with a different effector induces forgetting. This experiment examined whether left-hand practice causes competition and induces forgetting of other right-hand learned, but unpracticed keyboard sequences using mouse sequences as memory baseline. This experiment used two primary ways through which right hand movements can be translated onto left hands, transpositional translation (same visual representations but different fingers) and mirrored translation (same fingers but reversed visual representations) of right-hand sequences on left hand to examine whether they induced forgetting differently. RIF appeared in all three between-subject groups such that the overall recall accuracy for practiced keyboard sequences (Rp+) was higher than that of the unpracticed sequences, and the recall accuracy for unpracticed keyboard sequences (Rp-) was lower than that of the unpracticed mouse sequences (Nrp). However, RIF did not vary across groups: right hand, left-hand transposition, and left-hand mirror practice all induced forgetting with no interaction with sequence types. The present findings are consistent with an abstract representation of sequential finger movements that can be translated across hands such that retrieval-practice on a different hand could induce forgetting of motor sequences originally learned on the other.
Research on the Impact of COVID-19 on People of Different age Groups
Authors: Wang (Alice) Yingran
Published: October 2022

In December of 2019, patients with highly contagious respiratory diseases were first disclosed in Hubei, China. Later, in January 2020, the World Health Organization (WHO) declared that this respiratory disease, COVID-19, became a Public Health Emergency of International Concern. With a spiking number of patients and deaths, governments instituted numerous studies, strategies, and medical supplies for people in order to confront this epidemic effectively. COVID-19, then, became a heated topic whether for scientists or the general public due to its research value as an incredible disease and huge impact to daily life. This literature review discusses one of the debates of COVID-19 among people that it tends to have divergent effects on people regarding their ages. Milder symptoms are detected from younger people, and more severe effects are among older people who are above ages of 50s. In allusion to these diverse symptoms and complications, a variety of factors and studies are discussed throughout the passage.
Progress and Development of Cytokines Therapy
Authors: Fu Ziliang , Li Xinxin , Liang Ji , Xiang Chenxin
Published: October 2022

Cytokines are known as a group of protein messengers released by infected cells. This process takes place at the cell membrane: the cytokines bind with the specific receptors to present a signal to warn the existence of invaders and activate the defender to destroy the invaders and prevent further separation. After a long history of discovery and evolution, cytokines are now regarded as an effective cancer therapy and an important basis for new medicine development. Although the bottlenecks of the cytokines still exist, scientists are studying new developments to avoid some potential risks and problems, and achieve higher improvement on the existing basis. The possible future development in the field also has great expectancy. By combining various methods, the efficacy of drugs can be significantly improved, and some side effects can be avoided; by combining nanotechnology and light control technology, drugs can achieve specific and targeted treatment. This overview of the progress and development of cytokines includes the introduction of types and mechanisms of typical types of cytokines, application of cytokines in the therapy of specific cancer, the bottleneck of the present stage of cytokines, and possible directions of future improvement.
Virus vaccines in cancer immunotherapy: Principles, and Clinical manifestations
Authors: Li Yanning
Published: October 2022

Immunotherapy has been of extraordinary significance in cancer treatment. There are many cancer vaccines, and viral vaccines are one type of cancer vaccine. Viral vaccines provide an encouraging solution for the treatment of solid tumors, which cannot be achieved by traditional therapies. Cancer therapy and prevention rely on the availability of virus vaccinations. Existing cancer vaccines have had remarkable success in treatment and prevention. This article summarizes several feasible cancer vaccines and their clinical applications, and analyzes the current limitations and future development of viral vaccines. This article's summary of virus vaccines can provide a helpful reference for future cancer vaccine research.
T-VEC for Cancer Therapy: Applications, Limitations, and Potentials
Authors: Zhen Zixuan
Published: October 2022

Cancer is a great threat to human health, and immunotherapy has become an important means to treat cancer in recent years. Talimogene laherparepvec (T-VEC), as an oncolytic virus, is one of the immunotherapy for melanoma. This article explains its mechanism, and then summarizes its clinical applications, including the effects and safety of monotherapy and combination therapy. Current limitations and potentials of T-VEC are also analyzed, in order to provide guidance for the further development of it and even other oncolytic viruses.
Research on the Reuse of Licorice Residue
Authors: Ding Ke , Xu Yiyang , Li Naijin , Xu Haiyang
Published: October 2022

In order to realize the transformation of licorice residue into treasure and promote the sustainable development of Chinese medicine, this paper reviews the history, current situation and development prospect of the utilization of licorice residue, and on the basis of understanding the overview of the utilization of licorice residue, explores the innovative points of the research on the utilization of licorice residue and provides countermeasures for its future development. Glycyrrhiza glabra is widely used in all kinds of prescriptions and has been consumed in considerable quantities in both ancient and modern times. Ancient people did not make full use of liquorice residues, but today, with the great development of science and technology, people have a better understanding of it. Licorice residues contain a variety of chemical components that exhibit different biological activities and have great potential for application. Once extracted, these components can be used in the fields of medicine and chemicals. However, the utilisation of liquorice residues still suffers from low utilisation rate, immature technology and low extraction of target active ingredients. In the future, researchers can further develop the resources of liquorice residue from the perspectives of extending the efficacy, studying the components in depth, optimising the instrumentation and extraction process.
Research on the Application of Artificial Intelligence Technology in the Development of Computer Vision
Authors: Gao Yi
Published: October 2022

Nowadays, the computer field is in the stage of vigorous development. In recent years, with the emergence of Artificial Intelligence (AI), more and more people have taken a keen interest in it and conducted in-depth research on it. As an important branch of AI, computer vision aims to make machines have vision similar to that of human beings. Computer vision has gradually changed from the previous recognition of computer pictures to the recognition of real life, thus taking an important step in technological development. Because computer vision technology is a comprehensive technology that includes many disciplines and can obtain complete information from images, computer vision technology has been applied in various fields. However, there are a series of problems in the development of computer vision, such as the difficulty in extracting features or information from complex scenes. This paper analyzes the related theories of AI and computer vision technology, and discusses the application and prospect of AI technology in the development of computer vision.
Analysis of High Performance Computing System for Agricultural Big Data
Authors: Liu Mingxing
Published: October 2022

With the development of the information age, people pay more and more attention to the big data industry. In many industries, big data will be used for corresponding processing and analysis. However, at present, in the agricultural industry, there are still few researches on agricultural data processing by using big data. Therefore, in the agricultural data processing, the use of high-performance computing system to process its massive data can play a certain role in promoting the transformation and upgrading of agriculture, and it can play a better practical significance and use value in promoting agricultural development.
The development and application research of computer artificial intelligence technology
Authors: Chen Le
Published: October 2022

In recent years, with the rapid development of modern science and technology in China, artificial intelligence technology is widely used in many fields.  From the essential level analysis, artificial intelligence mainly through the simulation of human brain thinking to execute user commands.  From the application requirements of modern society, the embodiment and development of intelligent functions in the field of artificial intelligence need to rely on the basic computer network and related technologies.  The auxiliary and interworking applications of the two have a very key role in achieving better application effects of computer network technology.  This paper mainly introduces artificial intelligence and computer technology, further analyzes and explores the specific application of artificial intelligence in computer technology, and expects to provide some useful reference for relevant personnel
Research on Reverse Reconstruction Technology of Drive Screws
Authors: Li Juntao
Published: October 2022

Reverse innovation design has always been an important topic in the field of engineering. The purpose of this paper is to solve problems in drive screws caused by their complex structure, demand for high shape accuracy and long cycles of design optimization. The reverse modeling technology, the Win 3D scanner and Geomagic Wrap are employed to collect the point cloud data of the drive screw, wrap them into a curved surface, and import them into the reverse engineering software Geomagic Design X to create its highly accurate 3D digital model. In this way, high precision guarantee can be provided for the optimal design of the drive screw, thereby shortening the innovation cycle and laying a technical foundation for the improvement of transmission performance. According to the error analysis software Geomagic Control, the error in the inverse model of the drive screw does not exceed 0.02 mm, which meets the industry’s needs. This model can be used for digital production, and can also provide high-precision model support for secondary innovation, which is of great significance for shortening the product design cycle and enhancing the competitiveness of the enterprise.
Application of optical fiber sensing technology in bridge detection
Authors: Jiang Yunfeng
Published: October 2022

This paper introduces the development and application status of bridge detection technology at home and abroad, focuses on the research and application of optical fiber sensing technology in bridge detection at home and abroad, and takes strain detection as an example to introduce the detection principle, method and latest research of optical fiber sensing technology in bridge detection. Finally, the paper points out the development direction of optical fiber sensing technology in bridge detection.
ModelicaML modeling analysis of MCPS-based high-speed railroad safety monitoring system
Authors: Li Yuan , Qu Can , Ruan Xingye
Published: October 2022

Mobile Cyber-Physical System(MCPS) focuses on modeling of the physical world, dynamic continuity, real-time, spatial, security, and real-time predictable communication problems. Based on the example of high-speed railway system, this article mainly analyzes and studies the railway safety monitoring subsystem. Firstly, a brief analysis of the railway safety monitoring system and architecture is made, and the database connection pool and space-time analysis model are used as the software modeling system according to the requirements; then, SysML and Modelica are used to model the study, based on which a reconfigured modeling language called ModelicaML is proposed to model and simulate the modern engineering; lastly, the ModelicaML is used to physically model the safety detection system of high-speed railroad system, and finally, it is simulated and verified.
The Comparative Study on Traffic Noise Prediction Model between Classical Algorithm and Neural Network Methods
Authors: Mao Chen
Published: October 2022

Traffic is the main noise source in urban environment, which has a significant impact on people's physical and mental health and labor productivity. To solve the problem of highway noise pollution, we should not only strengthen the prevention and control measures in the later stage but also scientifically and accurately predict and evaluate its noise impact in the early stage. The selection of the noise prediction model and the determination of its parameters is the necessary premise for the accurate prediction of highway noise. This paper introduces several traditional noise prediction algorithms based on statistical methods. Then the application of the artificial neural network method in traffic noise prediction is analyzed. The results show that artificial neural network is an effective noise prediction tool with high prediction accuracy. Compared with other statistical methods, the artificial neural network method has obvious advantages in traffic noise prediction.
Research on the Safety of Intelligent Vibration Control System for Electric Vehicle Suspension
Authors: Li Mingjie
Published: October 2022

Aiming at the problem of poor vertical vibration performance of electric vehicles, an integrated design scheme of electric vehicle suspension based on in-wheel vibration damping system is proposed, and the fuzziness between vehicle suspension and in-wheel vibration damping system is carried out for this scheme. control. Then, the LQR control method based on particle swarm optimization weight coefficient is adopted, and the LQR optimization controller is designed to comprehensively control the electric in-wheel vibration damping system and the vehicle suspension, and further optimize the vehicle ride comfort and electric wheel vibration performance. The simulation results show that the inversion control strategy based on the reference model can effectively suppress the vertical motion of the body, reduce the vertical acceleration of the body, and at the same time reduce the tire deformation to a certain extent, and improve the ride comfort and driving stability of the car.
Channel attention convolutional recurrent neural network on street view symbol recognition
Authors: Li Jinke , Wang Chunyue , Cai Runheng
Published: October 2022

Character recognition has always played an important role in the area of image processing.  In our paper, we focus on the recognition problem of street view symbol, and propose a novel network architecture called Channel-Attention-based Convolutional Recurrent Neural Network (CACRNN) for character detection and character recognition. Different from CRNN, our method is based on convolutional neural network (CNN) structure with the help of attention guidance, which is a new way of combining CNN, recurrent neural network, and SE block. CRNN can be learned directly from sequence labels without detailed annotations, and the recognized objects are not limited in length. In the network, CNN plays the role of text detection, and recurrent neural network have a significant effect on text recognition.  Among them, we use the long short-term memory (LSTM) network as the recurrent neural network. In addition, we introduce SE block and propose an effective attention layer, so that the model is able to dynamically pay attention to certain parts that contribute to the existing task. Then our model can determine the most relevant aspects, and achieve better effect of filtering useless information and removing noise. Finally, the entire network is optimized using the CTC loss function. Through experiments, we found that the recognition accuracy of CACRNN processing characters is higher than other methods.
Study on stress isolation structure of piezoresistive high-g accelerometer
Authors: Lu Yongle , Qu Zhen , Hui Jiawei , Wang Wenxin , Liu Yu
Published: October 2022

We put forward a novel thermal stress isolation structure with five anchors, which greatly suppresses the zero offset of piezoresistive high-g accelerometer. In this paper, the parameters of the thermal stress isolation structure are optimized by finite element simulation to ensure that the sensor has lower zero offset and a good natural frequency. A high natural frequency can prevent the sensor from being damaged due to resonance when it is subjected to shock. Finally, the zero offset of the sensor with thermal stress isolation is reduced to 10% of that without thermal stress isolation. Natural frequency of the sensor is 264.18 kHz. Its sensitivity is 1.1μV/G/5V according to shock simulation of 100,000 g.
Reconstructed doppler cycle slip detection method based on inter satellite difference
Authors: Zhang Zhiqiang , Cai Chenglin , Wu Qian , Li Wei , Deng Yuzhen
Published: October 2022

Aiming at the problem of single frequency cycle slip detection in GNSS location, a new cycle slip detection method is proposed. This method uses the position and speed of the satellite and the position and speed of the receiver to calculate the Doppler frequency shift, then uses the integral value of the Doppler frequency shift to make a difference with the station satellite distance, and uses the inter satellite difference method to eliminate the receiver clock error, which can accurately detect the small cycle slip of one cycle. This method is not affected by the coordinates of the receiver, and can be realized only by the pseudo range single point positioning result.
COMPARATIVE EVOLUTIONARY AND RECOMBINATION ANALYSIS OF CHICKPEA CHLOROTIC DWARF VIRUS (CPCDV) INFECTING MALVACEOUS AND FABACEOUS PLANTS
Authors: ATIF M , AHMAD F , MANZOOR MT , GILANI K , ALI Q , SARWAR M , ANJUM S , ALAM MW , HUSSAIN A
Published: October 2022

The Chickpea Chlorotic Dwarf Virus (CpCDV) has proved very much devastating not only for chickpea crop but also for lentils, cotton and papaya. In recent past years, this mastrevirus put a sublime pressure on hosts and reduced yield up to 95%. This virus is most prevalence in dry regions and equally important pathogen in other parts of the world especially in America and Europe. This capability is due to rapid changes in DNA. Vector species also play important role in spread of this virus. Here evolutionary study of 20 genomes was done. All genomes obtained from cotton and lentil crop. Genomes obtained from lentil crop are ancestors and rest are offsprings. According to our finding, CpCDV is very important pathogen not only for Fabaceae family but also for Malvaceae family.
Improved Dot-ELISA Assay Using Purified Sheep Coenurus cerebralis Antigenic Fractions for the Diagnosis of Zoonotic Coenurosis
Authors: El Akkad Dina M. H. , Ramadan Reem M. , Auda Hend M. , Abd El-Hafez Yousra N. , El-Bahy M.M , Abdel-Radi Shimaa
Published: October 2022

Clinicians face significant problems in the diagnosis of zoonotic coenurosis. The current study aimed to develop an improved dot-Enzyme-linked-immunosorbent assay (dot-ELISA) for the diagnosis of zoonotic coenurosis using sheep Coenurus cerebralis scolices purified antigen (CcS-Ag) and to compare the obtained results with those of indirect ELISA and Enzyme-linked immunoelectrotransfer blot technique (EITB). Sera were collected from humans and sheep infected or suspected of infection with Coenurus cerebralis, control cases, and cases infected with other parasites. The CcS-Ag was proved to be the most specific antigen. This antigen was fractionated, and its specific polypeptides against anti-C. cerebralis antibodies (ACc-Ab) were identified using EITB. Fractions at the molecular weight (MW) of 48 and 58 kDa were proved as the only specific ones, eluted from the gel and concentrated, then dotted on the NC sheet as pooled antigen before its evaluation in the diagnosis of infection using dot-ELISA. Dot-ELISA demonstrated absolute 100% sensitivity and 100% specificity as recorded by EITB, compared to both fractions on a nitrocellulose (NC) sheet using surgically proved infected human or sheep sera as a gold standard. Diagnosis by ELISA using crude CcS-Ag revealed similar sensitivity but lower specificity (75%). The diagnostic accuracy of dot-ELISA was proved by comparing its results with postmortem data obtained post slaughtering of 20 suspected sheep and patients investigated by computed tomography (CT) and magnetic resonance imaging (MRI). In conclusion, the selection of specific fractions after EITB to be used in dot-ELISA improved the diagnostic value of the test as a diagnostic tool gathering the benefits of ELISA and EITB.
Impact of Colchicine on Histology of Testis in Rats
Authors: Abdullah Rand Abdulateef , Ismail Hana Khaleel , Ghanim AL-Haaik Ammar
Published: October 2022

Colchicine is a drug widely used for the management of many disorders, such as acute gout and Behçet’s disease. It is also prescribed for the treatment of pericarditis, atrial fibrillation coronary artery diseases, and secondary amyloidosis. In case this drug is used at the early stages of coronavirus infection, its anti-inflammatory properties may reduce the severe inflammatory reactions related to a cytokine storm by affecting the inflammasome. The purpose of the present study was to determine the toxicity of Colchicine on testis in rats from different age groups for 10 days. A total of 27 male Wistar rats were divided into three groups. The rats in group I (control group) were administered distilled water by oral gavage. Group II consisted of young rats (5-6 months old) who orally received Colchicine 3 mg/kg body weight. Group III entailed rats of 14-16 months who were orally administered colchicine 3 mg/kg body weight. The testis of the treated groups was dissected and examined for histological changes and morphometrical analysis. The obtained results indicated that high doses of Colchicine (3 mg/kg body weight) could induce tissue damage to the testis, including degeneration and necrosis of both Sertoli and Leydig cells with irregular divisions of germinal epithelium, even when it was used for short periods (10 days). In the elderly treated rats, there were severe tissue damages, including degeneration and necrosis of germinal epithelium with irregular divisions of germ cells, necrosis of Sertoli and Leydig cells with sloughing of germinal epithelium toward the lumen of the tubule. Therefore, there is a need to conduct more studies to investigate the side effect of Colchicine as it is excessively used in the management of coronavirus.
Evaluation of weaning parameters for weaning readiness from mechanical ventilation among elderly patients
Authors: Somboonviboon Dujrath , Oerareemitr Nittha , Wacharasint Petch
Published: October 2022

Background: Numbers of elderly patients with acute respiratory failure continue to rise with increasing age of the general population worldwide. Ventilatory reserve decreases substantially with age as a result of multiple interrelated physiologic changes.
Objective: This study aimed to evaluate the predictive value of conventional and composite weaning parameters among elderly patients.
Methods: We conducted an observational prospective study among intubated patients ≥70 years old and readied for undergoing spontaneous breathing trial (SBT). Weaning parameters were recorded [heart rate, respiratory rate, tidal volume, minute ventilation (MV)] at 1 min, 30 min, and 2 hr after beginning of SBT. Cough peak expiratory flow (CPEF) and diaphragmatic thickness (DT) were also measured at 1 min after SBT. Weaning parameters were compared between the 2 patient groups (weaning success vs. weaning failure). Primary outcome was difference in weaning parameters between the 2 groups of patients.
Results: All 48 subjects were enrolled. The mean (±SD) age was 80.2 (±6) years. Altogether, 38 patients (79.2%) were in the weaning success group and 10 patients (20.8%) in the weaning failure group. All baseline characteristics did not significantly differ between the 2 groups. While no difference was observed in other isolated weaning parameters between the 2 patient groups, we found that patients in the weaning success group had significantly lower MV than patients in the weaning failure group (8.3±1.8 vs. 9.9±2.5 L/min, p=0.025). Composite weaning parameters included MV/CPEF and MV/(CPEF x DT) increased predictive values for weaning failure than isolated MV with area under the receiver operating characteristics curves of 0.78, 0.80, and 0.72 respectively. The best cutoff point to predict weaning failure were MV ≥8.4 L/min, MV/CPEF ≥0.12, and MV/(CPEF x DT) ≥0.45 cm-1
Conclusion: MV was the only parameter associated with weaning failure among the elderly. Composite parameters demonstrated better predictive value for assessing weaning readiness among elderly patients.
Mycorrhizal association of two endemic trees of Western Ghats: Poeciloneuron pauciflorum Bedd. and Poeciloneuron indicum Bedd.
Authors: Koilpillai Y. , Benniamin Asir , Manickam V. , Jesudoss L.
Published: October 2022

Arbuscular mycorrhizal (AM) colonization and spore density of the two endemic plants growing in the natural forests were determined. Variations in spore number and colonization rate were observed in both the plants. The most frequent fungi present in the rhizosphere were also different. The AM colonization and sporulation were influenced by pH and phosphorous content of the soil.
Social sports Competition Scoring System Design Using Single Value Neutrosophic Environment
Authors:   Centro de estudios Actividad física terapéutica y deportes de combate, Universidad de Holguín. Holguín, Cuba, Ecuador, Guerra D. M. Ramírez ,   Centro de estudios Actividad física terapéutica y deportes de combate, Universidad de Holguín. Holguín, Cuba, Ecuador,   Ingenieria en Sistemas Computacionales, Facultad de Ciencias Matematicas y Físicas Universidad de Guayaquil, Ecuador,   Tecnología de la Información, Universidad de Guayaquil, Ecuador, .. Y. M. Gordo G� , Torres L. J. Cevallos , Ortiz F. G. Palacios
Published: October 2022

The goal of this work the critical criteria that affect social sports competition organization's arrangement. Then determine the relations between criteria with others and alternatives. So, the evaluation of the process of social sports competition contains many conflict criteria. The multi-criteria decision-making (MCDM) process is an effective tool for dealing with conflict and complex criteria. This work employs a new integrated model for dealing with the problem in an analytical hierarchal process (AHP) and Višekriterijumsko Kompromisno Rangiranje (VIKOR) methods under single-valued neutrosophic sets (SVNSs). SVNSs are the best tool for overcoming uncertainty and incomplete information. The AHP method is used for computing the weights of criteria then VIKOR is used for rank alternatives. The twelve criteria and five alternatives are used in this problem. An illustrative example is provided to present a robust hybrid model. This paper can help organizations and countries for arrangement and organize social sports completion with a scoring system design.