bluuebunny/crossref_metadata_2025 huggingface dataset:
Analysis on the Audience of Cross-Cultural Communication through Online Media Based on the Theory of Uses and Gratification - A Case Study of the Chinese Audience of Short Videos Published by Foreigners on Bilibili
Authors: Wu Ruofan
Published: October 2022

In recent years, with the rapid development of cultural globalization, foreigners have started to settle in Chinese short video platforms. A research on Bilibili reveals a large number of foreign UPs (video uploaders on Bilibili) that record their lives, introduce customs and habits of various countries, and respond to trending events. As the subjects of cross-cultural communication, they have attracted millions of Chinese audiences. In the new media environment, the status of the audiences in the process of media use is highlighted. A study of the audiences of short videos posted by foreign UPs on Chinese platforms represented by Bilibili will improve the understanding of the media use of this category of Chinese audiences. This study explores the demands and degrees of gratification of Chinese audiences under the theoretical frame of Uses and Gratification, so as to understand the effectiveness of cross-cultural communication by such videos through the online media as a communication channel. Data were collected through questionnaires and interviews. 150 valid questionnaires were obtained; 10 relevant users were interviewed. The results show that the personal motives of the audiences is basically satisfied; the knowledge of the audiences has increased and the cognitive perception of the audiences has been changed to a certain extent.
The Significance of Chinese Film Music Research in the Perspective of Music History
Authors: Cheng Wenqian
Published: October 2022

Chinese culture is profound and has a long history. As a part of China's art genre, film music has a very deep history and particularly rich value connotation, and its continuous inheritance process not only brings people spiritual enjoyment, but also enhances national cultural self-confidence. The history of film music is an excellent film, which takes a complete story as a clue, and through the analysis and study of these stories, it creates a certain meaningful and worthy of people to appreciate and learn the dots. In the history of film music, Chinese music composition has a long and glorious history, it has always been breathtaking since its birth. With the continuous development and innovation of the times, China's film industry has been prosperous and developed rapidly. How to better promote the study of Chinese film music in the context of music history is the main question that will be explored in this paper, and its significance will be analyzed from three aspects.
A Study on the Theory and Methodology of Teaching Chinese to Chinese American Elementary School Students Online
Authors: Shen Haoran
Published: October 2022

Online courses are becoming one of the most important ways of Chinese language learning for Chinese American elementary school students. At present, there are relatively few studies on Chinese language teaching for Chinese Americans, and even fewer studies on online Chinese language teaching for Chinese American elementary school students. Based on the learners' Chinese identity and country-specific characteristics, we initially explore the online Chinese language teaching for Chinese American elementary school students and draw the following conclusions. Finally, this paper briefly analyzes the problems of online Chinese language teaching for Chinese elementary school students in the United States and gives relevant suggestions.
Digital rural construction under the background of rural revitalization
Authors: Sun Nannan , Song Ying , Wang Xinan , Peng Yang , Wang Yanjie
Published: October 2022

With the development of modern science and technology and the strategic deployment of national economic development, digital rural construction has become a new and important measure to empower rural revitalization, which has the great significance of stimulating the endogenous power of rural areas and promoting the integrated development of urban and rural areas. This paper through the theory of digital rural construction strategy of policy research, from theory to practice, and specific venture in Jiangsu province, for example, discusses the strategic significance of digital rural development, facing problems, and on the problem from perfect infrastructure construction, strengthen talent introduction, strengthen the masses aspects put forward the targeted opinions of digital rural construction in our country.
Advanced diagnosis technologies for HER2 breast cancer markers
Authors: Zhang Mengxue
Published: October 2022

Every year, the number of persons diagnosed with cancer depressive. As a result, cancer diagnosis is extremely crucial. Malignant tumor markers have become an important aspect of clinical tumor assessment, and different cancer cells have different markers. With the advancement of molecular biology technology, it is now possible to use it to diagnose, monitor, assess prognosis, forecast metastasis, and predict recurrence risk in malignant cancers. Breast cancer is the most frequent cancer among women, and the number of women diagnosed with it has been higher in many cancers. Histiocytic tumor markers in breast cancer include ER and PR, HER2,BRCA1 and BRCA2. Breast cancer can be categorized and treated using several markers, such as functional subtype HER-2 positive, and triple negative. As a result, precisely detecting the subtype of breast cancer is critical because it allows patients to receive the most effective treatment. HER2 is found in 30% of individuals diagnosed, with a poor prognosis and a significant recurrence rate. FISH, IHC, CISH, Dual ISH, and NGS are all common methods for detecting HER2 breast cancer. In this review, some of the most common HER2 breast cancer diagnostic procedures are summarized.
The mechanism of Autosomal Dominant Polycystic Kidney Disease (ADPKD)
Authors: Guo Chenyue
Published: October 2022

Autosomal Dominant Polycystic Kidney Disease (ADPKD) has a long history, and it was first discovered after the death of King Stephen Bathory. Until now, the mechanisms are still unclear, but some hypotheses are supported by most people, such as the third hit, termination signal, cilia of pathogenic, and helix-helix interaction. Among all hypotheses, the one called “the third-hit” is the most widely accepted. In addition, recent studies found that germ-line mutations, somatic mutations, and ischemic or toxic damage will lead to ADPKD. Although ADPKD is incurable, some ways can lower the progress of the disease and maintain most of the kidney functions. The most general way of treatment is to adjust lifestyle, such as the ketogenic diet (KD) or time-restricted diet (TRD). Another popular way is symptomatic treatment. The article mainly introduced the mechanisms of ADPKD. To better understand the mechanisms, the basic structure and functions of the kidney will first be introduced.
Management of menopausal physiological symptoms
Authors: Su Yuxin , Zhang Danyang
Published: October 2022

With the development of our society, people are putting more and more emphasis on women’s health. Perimenopause is a period that women must experience. When women are in perimenopause, their hormone levels will change greatly, resulting in obvious physiological changes, such as hot flashes, night sweats and other physical symptoms,such as muscle and joint problems, urinal system, and cardiac problems.In fact, there will be a series of psychological changes, such as depression, anxiety and so on, but most of the symptoms will be covered up by physical symptoms, leading to misdiagnosis and missed diagnosis. When patients have negative emotions, they will continue to have an impact on the development of the disease, and even accelerate the development of the disease, gradually forming a vicious circle.It is very important for perimenopausal women to do a good job in hormone supplementation and mental health care, and it is also the key to help perimenopausal women alleviate the physiological and psychological changes caused by menopause. MHT is the first-line recommended treatment, which can also be supplemented by other treatments, such as physical exercise, yoga, warm acupuncture, etc
Research progress on pathogenesis and prevention strategies of Alzheimer's disease
Authors: Ying Xi
Published: October 2022

Alzheimer's disease (AD), a degenerative disease of the nervous system, typically develops episodic memory impairments in affected individuals, followed by other cognitive symptoms, including language, executive, and vision Spatial function is difficult and eventually leads to dementia. The etiology of Alzheimer's disease is not yet clear, and the pathogenesis is very complex. This review systematically summarizes the pathogenesis of AD by reviewing the research in related fields, and discusses the prevention and treatment of AD. The future direction is expected to provide new ideas for the prevention and treatment of the disease.
Alzheimer’s Disease Classification Using Brain MRI Based on Combination of Convolutional Neural Network and Random Forest Model
Authors: Chen Haoyu
Published: October 2022

Worldwide, someone develops dementia every 3 seconds. Dementia is mostly brought on by Alzheimer's disease (AD). Research has concentrated on diagnosing AD and dementia over the past centuries, and brain Magnetic Resonance Imaging (MRI) has been proved an effective biomarker of AD and other dementias. Throughout the years, many methods, including various forms of Neural Networks, Support Vector Machines, and other machine learning algorithms, have been innovated and applied to the classification of brain MRI scans. This paper aims to propose a model framework that has been rarely used in this field. This novel architecture utilizes a Convolutional Neural Network (CNN) for the feature extracting task and a Random Forest (RF) model for classifying different stages of dementias. The model was evaluated on each label's performance and overall performance. The performance metrics include accuracy, f-1 score, precision, and recall. The comparisons between the proposed model and the other two sodels, a CNN and a combination of Principal Component Analysis (PCA) and RF, were also provided. The implementation of the proposed model resulted in the highest overall accuracy, weighted precision, weighted recall, and weighted f-1 score. It also guaranteed stable and excellent performance across every label.
Classical and Molecular Cytogenetics: The Principle and Application of Involved Techniques
Authors: Lin Yanzhuo
Published: October 2022

Cytogenetics is the study of chromosomes. The involved techniques have an indispensable role in chromosome aberration detection. Taking the invention of in situ hybridization (ISH) as a dividing line, all techniques are categorized into classical and molecular cytogenetics. Typical techniques in classical cytogenetics are chromosome banding and flow karyotyping. Branches of ISH, such as fluorescence in situ hybridization, spectral karyotyping, and comparative genomic hybridization, are often classified as molecular cytogenetics. All of these techniques have provided researchers with either quantitative or qualitative data to aid in the analysis of chromosomes and have made significant contributions to the fields of prenatal detection, prognostic, diagnostics, oncology, etc.
Recent Advances of Diabetic Screening and Treatment
Authors: Laing Yenan
Published: October 2022

Blood glucose lever monitoring is an essential routine work for patients who are diagnosed with diabetes including type I and II. Insulin therapy plays a crucial role in treatment for both types of diabetes, whereas insulin delivery system has limited the capacities of insulin-loading, even worse, is not able to manufacture easily. Existing machines for measuring blood glucose are cumbersome, in addition, people need an injection of insulin for blood glucose regulation. The delivery route imposes restrictions on portability, the transdermal alternative seems favorable for the drug delivery. Naked-eye glucose monitoring base on colloidal crystal (GCC)-MN, aim to enhance health, improve portability and minimize invasiveness. This review discussed the sophisticated painless device named colloidal crystal (GCC)-MN patch for diabetes treatment and the process of glucose monitoring and responsive insulin release.
Association between BMI (body mass impact) and COVID-19
Authors: Liang Yiming
Published: October 2022

The 2019 novel the Corona Virus Disease 2019, known as COVID-19, has sickened more than 1 million people and killed nearly 600,000 in Wuhan, China. The binding of Angiotensin-converting enzyme 2 receptor binding causesSARS-CoV-2 to affect various organs. There is growing evidence linking severe COVID-19 to overweight, obesity and malnutrition (abnormal BMI). The aim of the study was to investigate the relationship between abnormal BMI and COVID-19 and determine the causes of negative outcomes.
Coronavirus (COVID-19) and the Human Immunity: A Review
Authors: Yang Dexiang
Published: October 2022

The coronavirus (COVID-19) exhibits a wide diversity of clinical manifestations due to the close association between the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the host immune mechanisms. SARS-CoV-2 viral clearance counts on adaptive immune responses, while innate immune populations such as dendritic cells (DCs) and macrophages have crucial roles in killing infected cells. Innate immune cells have vast pattern recognition receptors to induce different signaling pathways. Adaptive immune populations, including helper T cells (CD4+ T lymphocytes), cytotoxic T cells (CD8+ T lymphocytes), and B lymphocytes (sources of antibodies), can control infectious viruses to protect human bodies. In this review, how do the innate and adaptive immune systems recognize and respond to the invasion of the SARS-CoV-2 will be discussed.
A brief analysis of the mechanism of treatment of depression based on the 5-HT hypothesis
Authors: Wang Jiahui , Lu Yue , Yu Xinxin , Jia Qianru , Xu Fangwen , Wei Zhao
Published: October 2022

Depression is the most common form of depressive disorder and is characterised by significant and persistent depression, usually with a prolonged onset (longer than two weeks) and a tendency for recurrent episodes. In today's rapidly developing society, depression is becoming more prevalent at a younger age and therefore research and development of drugs for depression is urgent, but single-target depression treatments are no longer suitable for today's research due to their high cost and toxic side effects. This paper is therefore based on the 5-hydroxytryptamine receptor hypothesis and analyses the pathogenesis of depression as well as the receptors and their mechanisms of action.
Research on Virtual Manufacturing System of High-End Equipment Manufacturing Under Virtual Simulation Technology
Authors: Bi Yu , Zhang Wei
Published: October 2022

This paper constructs a manufacturing architecture based on big data cloud computing. The three manufacturing level systems of equipment, workshop and enterprise based on virtual simulation technology are studied. This paper establishes the equipment flexible adaptive processing model, the multi-agent flexible workshop dynamic scheduling model, the individualized predictive manufacturing model, and the enterprise connection crystal-like model driven by the dynamic network industrial structure. The system realizes closed-loop management and control of automatic issuance, execution, feedback and analysis of key control parameters in the production process of high-end manufacturing. The system can help enterprises improve product quality and work efficiency in an all-round way.
Research on the application of autonomous driving technology in port
Authors: Zou Yunfei , Wen Jie , Tang Siyuan , Zhou Hongmao , Zhang Panpan , Ning Weiting
Published: October 2022

Automatic driving technology is one of the most popular emerging technologies at present. It has been preliminarily applied in the field of transportation, especially in the automatic container terminal of the port. Automated guided vehicles for freight container(AGV), intelligent container truck(ICT) and intelligent guided vehicle for container(IGV) applying automatic driving technology in the port are briefly introduced. ICT and IGV are especially suitable for the automation transformation of traditional container terminals, and have gradually become the main force of horizontal transportation equipment in automatic container terminals. The main problems existing in the port application of automatic driving technology are emphatically analyzed, and the key research direction is put forward.
Breast Cancer Diagnosis with Machine Learning
Authors: Zhou Zhe
Published: October 2022

An early-stage breast cancer diagnosis usually results in a high survival rate within five years. This research seeks the feasibility of applying a specific machine learning algorithm, logistic regression, to a public dataset. The result is two models, reaching accuracies of 0.965 and 0.936. It confirms that the generality of applying machine learning algorithms is beneficial to medical diagnosis. Even though this is not the first research to exploit the application of machine learning in the medical field, it still provides some valuable insights for future research.
The Application of Neural Network algorithm in Artificial Intelligence Recognition
Authors: Zhang Longqi
Published: October 2022

artificial intelligence technology is an important product of the development of science and technology, greatly facilitate people's life and production, in recent years, artificial intelligence technology without living and living artificial intelligence recognition technology is constantly improving, and the perfect process requires the organic combination of neural network algorithm and artificial intelligence recognition. Based on this, this paper analyzes the application of neural network algorithm in artificial intelligence recognition, in order to provide some reference.
A Self-Adaption Recognition Method for English Speech on Cloud Platform Based on Wavelet Neural Network
Authors: Shi Xiaoqin , Wang Jinrong
Published: October 2022

Although there are various recognition methods for digital English speech (DES) on cloud platform network, the accuracy of them is low and the average time consumption is too long. Due to above shortages, this study put forward a self-adaption recognition method based on wavelet neural network (WNN). At first, the study used zero-crossing rate as feature of voiceless and voiced sound of the DES and used WNN to carry out conversion for the English speech information. Then, the study obtained wavelet-scaling function and parameterized wavelet function via zero-pole model. The parameterized wavelet function was used as the feature vector of the recognition. Wavelet function base of DES feature was generated via stretching and translating transformation. The transformed wavelet function was used to build WNN model. Moreover, error entropy function of the recognition was calculated by introducing momentum factor and partial derivative of the error entropy function to adjust parameter of the built WNN model. Thus, the study achieved the self-adaption recognition of DES. Simulation results show that the proposed method has high recognition accuracy and short recognition time.
68 Face Feature Points Detection Based on Cascading Convolutional Neural Network with Small Filter
Authors: Zheng Yinhuan , Wang Beizhan , Zheng Yilong
Published: October 2022

Facial detection has received more and more attention in the past two decades. Due to the pose, occlusion, and illumination changes in the photo, the detection task is quite a challenge in an unconstrained environment. This paper proposed a cascaded convolutional neural network DCNNSF-CFC (Deep Convolution Neural Network with Small Filter-with Coarse-to-Fine Cascade) to localize large facial landmarks to improve the accuracy and robustness of network prediction which based on the original small filter deep convolutional neural network. Each network is trained separately to locally refine a subset of facial landmarks generated at the previous network level, and each geometric network is explicitly constrained to modify the input information of the current network. AFW, LFPW and Helen datasets were used in this study and it was proved to be more accurate and robust than DRMF, Opm, CNN and RCPR.
Analysis of the Influence of Meteorological Factors on Air Pollutants in Nanning from 2018 to 2020
Authors: Que Xiaohua
Published: October 2022

Through the analysis of meteorological factors in Nanning from 2018 to 2020, including temperature, humidity, wind speed, sunshine, air pressure and other indicators, this study summarizes the change characteristics of meteorological factors. The descriptive statistics of the air quality in Nanning in the past three years show that PM10 and O3 are the main reasons affecting the air quality in Nanning. By means of correlation analysis and stepwise regression, the correlation degree between meteorological factors and PM10 and O3 was explored, and the relationship between independent variables and dependent variables was established. The conclusions are as follows: (1) There is a significant correlation between PM10,O3 concentrations and meteorological factors. (2) Average relative humidity, average wind speed and average air temperature can explain 42% PM 10, and average relative humidity, average wind speed, average air temperature and sunshine hours can explain 66.3% O3.
Development of Semi-active Lateral Damper System for Railway Vehicles Based on H∞ Control
Authors: Cao Hongyong , Wang Xu , Feng Yonghua , Zhang Zhenxian
Published: October 2022

In order to meet the riding comfort requirements of high-speed trains when running between high-speed lines and the existing low-speed lines, it is necessary to develop active damper system to further suppress vehicle vibration. A semi-active lateral damper system with H∞ control is developed. The performance of that system is tested on roller rig under different track irregularities. The experimental results show that the semi-active lateral damper based on H∞ control can effectively suppress the lateral vibration of the car body, especially the low frequency vibration of 0.5 ~ 3 Hz.
Research on Autonomous Spraying Robot Based on Machine Vision
Authors: Liu Xue , Lan Kailang , Zeng Haisen , Song Meng , Liu Min , Liu Xin
Published: October 2022

In view of the problems that the current spraying robot needs manual teaching and cannot meet the requirements of flexible processing, this paper carries out the research on the autonomous spraying robot based on machine vision. First, the overall design, structure design and parts selection of the robot system are carried out according to the market functional requirements. Then, the feature extraction algorithm of the workpieces to be sprayed is designed, which mainly uses Opencv to denoise the collected image, remove the background, and extract features. According to the image processing results, the spraying trajectory is determined by trajectory planning. Finally, the autonomous spraying experiment is carried out through the built spraying robot platform, and the functions of spraying process, adaptive workpiece shape, adaptive workpiece pose and other functions are analyzed, and the goal of robot adaptive spraying is realized.
Construction of Information Service System for the Elderly Based on Cloud Computing
Authors: Song Shixuan
Published: October 2022

With the advent of an aging society, the absolute number of the elderly has accounted for a considerable proportion of the social population. With the development and listing of Internet technology and mobile devices, it has become a social trend to send and receive information through handheld terminals, servers, personal computers and other platforms, and mobile information came into being. However, due to their physical conditions, the elderly in vulnerable groups can not easily access information and participate in social communication better. Obtaining mobile information with real-time efficiency through mobile devices just solves this problem and meets their needs to a large extent. Based on cloud computing and big data, this paper investigates the information services of many large communities, analyzes and summarizes the problems in the information services of the elderly in the community by synthesizing the information needs of 500 elderly people. According to the analysis results, an information service model for the elderly is proposed. The calculation results show that the general information service architecture based on cloud computing can reduce the payment cost of information services by about 31.22%.
SAR image to optical image translation technology based on conditional generative adversarial network
Authors: Liu Haoxufei , Zhou Zhixing , Lu Cheng , Zou Huanxin
Published: October 2022

To address the problems of poor readability and difficult interpretation caused by the special imaging mechanism of Synthetic Aperture Radar (SAR) images, this paper combines the latest advances in Generative Adversarial Network (GAN) technology in machine learning to overcome the problems of CycleGAN In this paper, we combine the latest advances in GAN technology to overcome the problems of unstable training, failure to converge, and lack of diversity in generating a single image, and construct a supporting training dataset to design and optimize a multimodal image translation network model to explore a solution for translating SAR images into easily understood optical images. The research results of this paper are very important for realizing applications such as alignment, matching and change detection between multimodal images.
Research on Milky Way HI line celestial body operation system based on a new type of small telescope
Authors: Hu Zichen
Published: October 2022

With the continuous advancement of science and technology, people have made long-term progress in the development and understanding of astrophysics. This article also designed a new type of small telescope. By using this type of telescope, researchers can effectively align the pointing and spectrum analyzer. The spectrum observed by detailed calibration is also similar to the existing observation data. By making larger aperture speakers, using lower-noise LNAs, and carefully calibrated using pointing and spectrum analyzers, the design of the telescope may be further improved to increase accuracy and performance.
Research on cloud computing task scheduling based on calculus mathematical equation
Authors: Zou Xinying
Published: October 2022

Due to the heterogeneity, distribution, autonomy and diversity of services in cloud computing environment, higher requirements are put forward for cloud platform scheduling mechanism, so the research on cloud architecture and its scheduling mechanism has attracted more and more attention from the industry. A cloud computing task scheduling algorithm based on calculus mathematical equation is proposed. Through the double boundary convergence control of the partial differential classification mathematical model, the partial differential classification data model is integrated into the data set, and the fuzzy control of the data is completed through the increment and decrement support vector. The membership function is used to transform the multi-QoS(quality of service) objective constraint problem into a single objective constraint solving problem. Compared with traditional methods, the method proposed in this paper can effectively reduce the deadline baseline violation rate of user task scheduling, and reduce its average task execution time and average task execution cost on the premise of meeting the user task multi-QoS target constraints.
Research on empty container transportation based on (D, U) control strategy under random demand
Authors: Han XiaoLong , Wang Qi
Published: October 2022

In order to effectively reduce the cost of empty container dispatching and transportation, an integer programming model for empty container dispatching and transportation with multiple periods and multiple ports was established, and the empty container dispatching and transportation scheme was optimized under the (D, U) inventory control strategy considering the service level. The results show that compared with no inventory control strategy, the (D, U) strategy can effectively reduce the total operating cost of liner companies. Select the service level for sensitivity analysis, and verify that (D, U) control strategy can effectively reduce the dependence of liner companies on container chartering.
Automatic Grip Irrigation Control System Based on Sensors
Authors: Xiang Yi
Published: October 2022

Drip irrigation are a certain type of irrigation that gives low-pressure water to soil and plants using plastic tubes placed beside or in the plants’ roots. It is a substitution of sprinklers or other types of furrowing methods of irrigating plants, which can be used to control the moister and processed by sensors. Sensors and sensors can be used to help the progression of the grip irrigation system. It shall be the coming future of the agriculture in both of small scale and large scale for it can obviously save water and labor in an obvious extent. A drip irrigation is a low-pressure, low-volume lawn and garden watering system that delivers water to home landscapes using a drip, spray or stream. It keeps roots moist, but not soaked, all while using less water than other irrigation techniques. In this study, the designed drip irrigation control system is based on the use of variety of sensors: wind sensor, soil moister sensor and rain sensor. After getting a correct database, we can use the control system based on sensors to make the pouring of water in an automatic way which can obviously decline the amount of water waste in the irrigation procession.
A Comprehensive Survey on Human Activity Recognition Using Sensing Technology
Authors: Wang Ming
Published: October 2022

With the rapid development of machine learning technology and the popularity of various electronic devices such as smartphones and smart bracelets, sensor technology has been applied to all aspects of human society. On this basis, HAR already plays an important role in various fields including sports and the military. In the medical field, particularly, HAR is gaining increasing recognitions by researchers to be one of the main technologies for future behavioral detection in the elderly. The application of HAR technology allows users to identify human behavior through applications equipped with specific sensors, reducing human costs. This survey sorted out the published articles related to HAR research in recent years, provided an analysis of the background, applications, and advantages and disadvantages of sensing technologies, and made a brief exposition of the HAR process.
Model establishment and risk management model of industrial big data based on neural network
Authors: Jiang Zhihan
Published: October 2022

With the maturity of big data, the data hierarchy and data processing methods of big data are changing with each passing day. Big data has begun to occupy an important position in all walks of life, and data is an asset. Industrial risk has always been the focus of data generation and application. In this paper, we use TensorFlow to implement a big data classification model, and add different optimization methods and convolutional neural networks. In the research, the usage scenarios of different optimization methods and the characteristics of self-sufficiency were compared, so that the final classification accuracy of the model reached 99.67%. Using TensorFlow to build different types of neural networks to fit the Fourier transform, and use the trained model for ultrasonic detection of time-domain signals, and obtain better signal processing results. On this basis and analyze the characteristics of different models, as well as the advantages and disadvantages of signal processing.
The NILPOTENT Characterization of the finite neutrosophic p-groups
Authors:   Department of Mathematics, Faculty of Science, University of Lagos, Nigeria, Adebisi S. A. ,   University of New Mexico, Gallup Campus, NM 87301, USA, Smarandache Florentin
Published: October 2022

A well known and referenced global result is the nilpotent characterisation of the finite p-groups. This undoubtedly transends into neutrosophy. Hence, this fact of the neutrosophic nilpotent p-groups is worth critical studying and comprehensive analysis. The nilpotent characterisation depicts that there exists a derived series (Lower Central) which must terminate at {ϵ} ( an identity ) , after a finite number of steps. Now, Suppose that G(I) is a neutrosophic p-group of class at least m ≥ 3. We show in this paper that Lm−1(G(I)) is abelian and hence G(I) possesses a characteristic abelian neutrosophic subgroup which is not supposed to be contained in Z(G(I)). Furthermore, If L3(G(I)) = 1 such that pm is the highest order of an element of G(I)L2(G(I)) (where G(I) is any neutrosophic p-group) then no element of L2(G(I)) has an order higher than pm.
Re-Evaluating the Necessity of Third-Party Antivirus Software on Windows Operating System
Authors:   Sa’adatuRimi College of Education, Kano, Nigeria, Garba Faisal A. ,   Federal University Dutsinma, Katsina State, Nigeria,   Sa’adatuRimi College of Education, Kano, Nigeria,   Federal Polytechnic, Bauchi, Nigeria,   Sa’adatuRimi College of Education, Kano, Nigeria,   Sa’adatuRimi College of Education, Kano, Nigeria,   Sa’adatuRimi College of Education, Kano, Nigeria, Dima Rosemary  M. , Isa A. Balarabe , Bello A. Abdulrazaq , Aliyu A. Sarki , Yarima F. Umar , Ibrahim S. Abbas
Published: October 2022

There is a general assumption that one must purchase costly antivirus software products to defend one’s computer system. However, if one is using the Windows Operating System, the question that arises is whether one needs to purchase antivirus software or not. The Windows operating system has a market share of 31.15% behind Android with a market share of 41.56% worldwide amongst all the operating systems. This makes Windows a prime target for hacking due to its large user base. Windows 11 a recent upgrade to the Windows operating system has claimed to have taken its security to the next level. There is a need to evaluate the capability of the Windows 11 default security against antivirus evasion tools. This research investigated the capability of Windows 11 default security by evaluating it against 6 free and open-source antivirus evasion tools: TheFatRat, Venom, Paygen, Defeat Defender, Inflate and Defender Disabler. The criteria for the selection of the antivirus evasion tools were free and open source and recently updated. A research lab was set up using Oracle VirtualBox where two guest machines were installed: a Windows 11 victim machine and the Kali Linux attacking machine. The antivirus evasion tools were installed on the Kali Linux machine one at a time to generate a malware and pass it to the victim machine. Apache web server was used in holding the malicious sample for the Windows 11 victim machine to download. A score of 2 was awarded to an antivirus evasion tool that successfully evaded the Windows 11 security and created a reverse connection with the attacking machine. From the research results: TheFatRat had a 25% evasion score, Venom had 20% while the rest had a 0% evasion score. None of the payloads generated with the antivirus evasion tools was able to create a connection with the Kali Linux attacking machine. The research results imply that the default Windows 11 security is good enough to stand on its own. A third-party antivirus solution will only supplement the already good protection capability of Windows 11.
PENGARUH KUALITAS LAYANAN TERHADAP KEPUASAN PELANGGAN DEPOT ISI ULANG AIR GALON ANDERE
Authors: . Sahyunu , . Surlan , . Safuruddin
Published: October 2022

This study aims to determine the service quality of the Andere Gallon Water Refill Depot, Angata Sub-district, South Konawe Regency to customer satisfaction. The type of this study is a quantitative descriptive. Data collection techniques carried out through literature study and field research in the form of observations, questionnaires, agency data, and documentation. The number of samples used 100 people chosen at random. The analytical method used Linear Regression method. The results of this study showed that the service quality indicator at the Andere gallon water refill depot, Angata Sub-district, South Konawe Regency was good because of high percentage, especially the responsiveness indicator (responsiveness). Customer satisfication at the Andere gallon water refill depot, Angata Sub-district South Konawe Regency was good because the quality of service was higher than customer satisfication which means customers of the Andere water refill gallon, Angata Sub-district of South Konawe regency was very satisfied about the service. Effect of service quality to customer satisfaction, from the regression model the result was obtained significant.
ANALISIS PENGARUH KUALITAS LAYANAN TERHADAP KEPUASAN KONSUMEN TOKO KOSMETIK GAYA BARU
Authors: Zainuddin Muh Zabir , Manan La Ode ABdul , K Sri Wahyuni
Published: October 2022

In the current era of globalization, providing good service satisfaction is an asset for organizations and companies, in realizing this desire is not easy, because many are playing in a company market, the tastes of one customer and another are also different, competition in all sectors the Indonesian economy, specially services that are very close to the community. The company will succeed in obtaining customers in numbers which, if judged to be able to provide service satisfaction for customers. Increased competition and the number of competitors that require business actors to always pay attention to the needs and desires of consumers and try to meet consumer expectations by providing more satisfying than what competitors do in improving service quality, according to Zeithaml and Bitner (2004), there are 5 dimensions of service quality. that must be considered include physical evidence, reliability (trust), responsiveness (responsiveness), assurance (guarantee), empathy (empathy). By paying attention to the 5 dimensions of service quality, it is expected that consumers will be satisfied. This study aims to determine the effect of service quality on customer satisfaction (a case study on a new style cosmetic shop in Baruga Market). This study uses quantitative methods, with a sample of 30 respondents. Data collection techniques: questionnaires and interviews. After the data is obtained, testing the data, presenting the data, and drawing conclusions. The results of this study indicate that service quality affects customer satisfaction, the better the service quality, the higher customer satisfaction.
Immune challenges upregulate the expression of cannabinoid receptors in cultured human odontoblasts and gingival fibroblasts
Authors: Navarro-Saiz Laura , Bernal-Cepeda Lilia , Castellanos Jaime
Published: October 2022

Odontoblasts and gingival fibroblasts play essential roles in the physiological and pathological processes of dental tissue. Cannabinoid receptors (CB1 and CB2) are involved in analgesia by modulating the función of calcium channels that inhibit the synthesis of some neurotransmitters. A better understanding of the physiology of these receptors would provide the possibility of using them as therapeutic targets in controlling dental pain. The aim of this study was to evaluate the presence and activity of cannabinoid receptors in human odontoblast-like cells (OLC) and human gingival fibroblasts (HGF). CB1 and CB2 transcription was analyzed by real-time PCR, proteins were detected by immunofluorescence, and functional cannabinoid receptors were evaluated by measuring intracellular calcium concentration after stimulation with cannabidiol (CBD) and pre-treatment with a CB1 antagonist, a CB2 inverse agonist and a TRPV1 antagonist. Transcripts for CB1 and CB2 were found in both odontoblasts and gingival fibroblasts. Cannabidiol induced an increase in [Ca2+]i in both cells types, but surprisingly, pre-treatment with selective cannabinoid antagonists attenuated this effect, suggesting a functional communication between specific cannabinoid receptors and other CBD target receptors. In conclusion, human odontoblasts and gingival fibroblasts express functional CB1 and CB2 cannabinoid receptors, which could be modulated to improve the treatment of pain or dental sensitivity.
STRATEGIC CULTURE AND INTER-STATE RELATIONS: A CASE OF PAKISTAN AND INDIA
Authors: Ali Shehzad
Published: October 2022

Geography, culture and history play a central role in shaping a nation's perceptions, biases and images of adversaries. The combination of these factors constitutes strategic culture. Strategic communities tend to adopt diverse approaches to interpreting, analysing and reacting to a given situation. They may incline to pick peculiar strategic choices, such as using force or relying on external alliances, while not opting for a range of others. Decisions and choices are affected by patterns of thinking that evolved over the years. Strategic culture has evolved and generated significant discussion on theoretical frameworks and potential applications in a regional and international security context. Pakistan-India strategic equation is a complex phenomenon, fraught with hostility and mistrust, impregnated with conventional and non-conventional hazards. India views Pakistan as a stumbling block in realising her power ambition, while Pakistan considers India an existential threat. The article analyses the effect of strategic culture on inter-state relations with emphasis on Pakistan-India relations. Unique historical events, geography, the influence of dominant strategic strata and perception biases shape respective strategic cultures. It further analyses strategic culture based on Hofstede's Model, besides pondering upon symbols and philosophical influences.
 
Bibliography Entry
Ali, Shehzad. 2022. "Strategic Culture and Inter-State Relations: A Case of Pakistan and India." Margalla Papers 26 (1): 121-131.
COMPREHENSIVE NATIONAL SECURITY: CONTEMPORARY DISCOURSE
Authors: Khan Ehsan Mehmood
Published: October 2022

National security has evolved both into a discipline of study and a sphere of policy application. It is a commonly used phrase in strategic literature and international statecraft. The modern concepts of national security arose in the 17th century during the Thirty Years War in Europe and the Civil War in England, and it was considered in terms of state sovereignty. In the aftermath of World War II, the concept of national security evolved into superpower contestation, also called the Cold War. During this period, national security had been seen through the prism of  military security of the state against external threats – traditional security. In the US, the national security concept  transited into a normative paradigm when President Truman signed the National Security Act on July 26, 1947, which also led to the establishment of the US National Security Council. Some 21 variants of the National Security Council exist in 51 countries today. The concept of national security is also seen from the prism of the concept of national power and elements of national power that include diplomacy, information operations, military, economic, financial, intelligence operations and law enforcement – commonly referred to as DIMEFIL. States either have national security policies or strategies and some – including Pakistan, publish an unclassified version for public distribution. Contemporary national security discourse adjusts to and even shapes the geopolitical environment. It has gradually evolved into a concept called comprehensive national security. It is an inclusive framework that encompasses all internal and external affairs of the state and society. Comprehensive national security helps safeguard both national security interests and human security requirements.   Bibliography Entry Khan, Ehsan Mehmood. 2022. "Comprehensive National Security: Contemporary Discourse." Margalla Papers 26 (1): 1-17.
Názory a skúsenosti študentstva s inklúziou
Authors:   Univerzita Mateja Bela v Banskej Bystrici, Pedagogická fakulta, Belková Vlasta , Zólyomiová Patrícia ,   Univerzita Mateja Bela v Banskej Bystrici, Pedagogická fakulta, Katedra pedagogiky a andragogiky
Published: October 2022

The Faculty of Education of Matej Bel University in cooperation with the Faculty of Education of the University of Prešov in the period 2018 - 2020 became the solvers of the KEGA project no. 046UMB-4/2018 How do we understand inclusive education? Creating an optimal teaching model. As part of the project, the opinions of teachers from practice and students on the issue of inclusion were ascertained, and the relationship between personal experiences with people with special educational needs and attitudes to inclusion in both research samples was also ascertained. The paper presents partial research results concerning a group of university teachers (N = 488). A combined questionnaire containing self-designed items as well as a standardized scale was used for data collection, but the paper presents the results of the analyzed items of the self-designed questionnaire, which indicate a continuing tendency to misunderstanding integration and inclusion.
Poskytovanie včasnej starostlivosti pre rodičov
Authors:   Katolícka univerzita v Ružomberku, Pedagogická fakulta, Katedra pedagogiky a špeciálnej pedagogiky, Hudecová Anna
Published: October 2022

The main aim of the study is to justify the need for early intervention for the child and the family with a child with a disability. The study presents the results of research with in the e-learning project “E-learning training modules on the issue of early intervention in the family with child with developmental risk“.
Zvládanie záťažových situácií spôsobených pandémiou u učiteľov základných škôl
Authors:   Univerzita Komenského v Bratislave, Pedagogická fakulta, Katedra výtvarnej výchovy, Valachová Daniela
Published: October 2022

The paper presents an analysis of the statements of primary school teachers about coping with the stressful situation caused by a pandemic. The analysis was carried out in the form of a qualitative evaluation of the life story. In addition to the textual material, the visual image of the situation of primary school teachers was also analyzed.
Ján Kalinčiak a jeho školský reformný návrh
Authors:   Katolícka univerzita v Ružomberku, Pedagogická fakulta, Katedra pedagogiky a špeciálnej pedagogiky, Gejdoš Miroslav
Published: October 2022

In our literary history, there are certainly several writers who stand above the content and scope of their work higher than Ján Kalinčiak. However, few of them are more readable, more attractive, and I guess even more polyphonic than the creator of Restoration. Perhaps there is a reason that Kalinčiak - a novelist and novelist overshadowed Kalinčiak - a teacher and practical educator. Let's think about the other face of his personality, the writer's pedagogical activity. Janek Kalinčiak's life's work deserves it.
Le origini e gli influssi del ritmo musicale
Authors:   Pontificia Universita Gregoriana, Pontificio Istituto Orientale, Dufka Peter
Published: October 2022

Each musical element (i.e., rhythm, melody, harmony, color of sound) has its influence on the human person; the dominant role however, is played by rhythm. Ethnomusicology and philosophy point out that the origins of rhythm are to be found in the primitive peoples while connected with the dance movement, with the universe (regular changes such as day and night, four seasons) with the heartbeat but also with both hypnotic and magical functions of the repetitive beat. Rhythm expresses, above all, the musical content, alongside with melody, harmony and words, but it also produces the stimuli at the somatic, psychic and spiritual levels. Therefore it has its utmost importance in education, especially during early childhood, influences the development of intellect and has strong therapeutic aspect.