Reviewerly/exHarmony huggingface dataset:
Deep Learning-based Method for Enhancing the Detection of Arabic Authorship Attribution using Acoustic and Textual-based Features

Authorship attribution (AA) is defined as the identification of the original author of an unseen text.It is found that the style of the author's writing can change from one topic to another, but the author's habits are still the same in different texts.The authorship attribution has been extensively studied for texts written in different languages such as English.However, few studies investigated the Arabic authorship attribution (AAA) due to the special challenges faced with the Arabic scripts.Additionally, there is a need to identify the authors of texts extracted from livestream broadcasting and the recorded speeches to protect the intellectual property of these authors.This paper aims to enhance the detection of Arabic authorship attribution by extracting different features and fusing the outputs of two deep learning models.The dataset used in this study was collected from the weekly livestream and recorded Arabic sermons that are available publicly on the official website of Al-Haramain in Saudi Arabia.The acoustic, textual and stylometric features were extracted for five authors.Then, the data were pre-processed and fed into the deep learning-based models (CNN architecture and its pre-trained ResNet34).After that the hard and soft voting ensemble methods were applied for combining the outputs of the applied models and improve the overall performance.The experimental results showed that the use of CNN with textual data obtained an acceptable performance using all evaluation metrics.Then, the performance of ResNet34 model with acoustic features outperformed the other models and obtained the accuracy of 90.34%.Finally, the results showed that the soft voting ensemble method enhanced the performance of AAA and outperformed the other method in terms of accuracy and precision, which obtained 93.19% and 0.9311 respectively.
An Investigation on Data Sharing Security Risk Issues in Cloud System

The utilization of cloud computing has enhanced quickly in numerous organizations. The little and medium organizations utilize administrations related to cloud computing for different reasons, including for giving quick access to their applications and decreasing their framework costs. Security, as well as protection, is thought to be the primary issue in a cloud computing condition for a reason that of the delicate and imperative data put away in a cloud for clients. Cloud suppliers should address security risk and protection issues as an issue of high and pressing need. In this paper, a review about issues of security as far as its risks when sharing information in the environment of cloud computing has been discussed. The commitment goes for the investigation and arrangement of working systems of the fundamental security issues and the conceivable solutions that exist in the previous studies. We proposed a parametric comparison of the threats tackled by cloud environments such as collusion attack, brute force attack, dictionary attack, and SQL injection attack. Besides, we think about different interruption finding and counteractive action systems being utilized to address problems that are related to safety. The trusted cloud computing and systems for directing security consistency among cloud providers are additionally investigated. Since the components of security keep on evolving, we additionally demonstrate the upcoming introduction of cloud data sharing security concerns and their conceivable countermeasures.
Immersion and presence: You do take it with you

Immersive experiences can be powerful, breaking down awareness and boundaries between physical and experiential presence. Psychologically, where an experience occurred can become less important than that it did. The more of ourselves we put into a digital environment, and the longer we stay within it, the more immersed we become. The most immersive of all digital environments are virtual ones. These can make a person feel truly present in a way that other environments, where audio cues and interruptions can break an immersive feeling, don’t exist in the same way. The form of the medium through which we have an experience is not determinant as to whether we have the experience, and the knowledge we gain as a result of an experience can become embedded within us permanently. Researchers have found that even a short virtual interaction can change a person’s emotional state in a way that is carried back into the physical world. In the past three decades, a variety of fields have relied upon the transferability of immersive digital experiences into the physical world for training, education, therapy, and travel, to name a few. The knowledge that our avatars can acquire is necessarily acquired by our physical selves: we share a single brain.
VR turbo-charging the blurring of ethical frameworks

Virtual reality allows for total immersion. As its accessibility and usage increase, it will turbo-charge the blurring of ethical frameworks between the physical world and digital environments. Based on research into some current uses of VR, the immersive experience can be particularly powerful because of how the VR experience can create uncertainty between past and current events, difficult transitions between worlds, and confusion as to physical space and capabilities. The virtual and physical worlds are not the only two places where people experience the dissonance of moving between worlds with differing moral expectations. One’s private life can differ from that expected in a personal relationship, community, church, work, or school environment. But, these are physical worlds one is able to move between as oneself. Virtual worlds add an aspect of being able to be someone different, without necessarily the same expectations or obligations as one has in the communities of which they are a member in the physical world.
Overcoming Error In Chat GPT And Wolfram Alpha With Peter Chew Rule

This article discusses the Error of Chat GPT and Wolfram Alpha specifically in terms of their restricted knowledge and their inability to correctly answer some Solution of Triangle questions. Chat GPT's knowledge is confined to data up until 2021. However, these Error can be addressed by incorporating future knowledge, Peter Chew Rule for Solution of Triangle into Education 4.0 Calculator. By utilizing Peter Chew Rule into the Education 4.0 calculator, significant advancements can be achieved. This innovative tool allows us for finding a non included angle (Obtuse angle) directly and correctly when given 2 sides and an included angle. The integration of Education 4.0 provides a promising solution to the existing Error in Chat GPT and Wolfram Alpha.By programming the Education 4.0 calculator with Peter Chew Rule and Method, these systems can enhance their capabilities and offer simple solution , more comprehensive and up-to-date answers to all triangle problem. This approach demonstrates the potential of leveraging advanced mathematical concepts to overcome the Error posed by restricted knowledge in AI systems like Chat GPT and Wolfram Alpha.By incorporating Peter Chew Rule and Method for Solution of triangle and leveraging advanced mathematical tools, AI systems can expand their capabilities and offer correct answer, simple solution, more accurate and comprehensive responses in the domain of Solution of Triangle. This can be effective in let student interest in using technology while learning mathematics especially when analogous covid- 19 issues arise in the future.
Literature Review of Audio-Driven 2D Avatar Video Generation Algorithms

Audio-driven 2D avatar video generation algorithms have a wide range of applications in the media field. The technology of generating 2D avatar videos with only the input of compliant audio and images has been a positive boost to the development of online media and other fields. In such generation algorithms, the accurate coupling of speech audio and appearance changes such as faces and gestures in subtle movements has been a point of continuous improvement, with appearance changes moving from an early focus on matching speech content only to starting to incorporate human emotions expressed by speech. There has been a significant improvement in fidelity and synchronization compared to the early experimental results of the study, and the behavioral performance of the 2D avatars in the generated videos is getting closer to that of humans. This paper provides an overview of existing audio-driven 2D avatar generation algorithms and classifies their tasks into two categories: talking face generation and co-speech gesture generation. Firstly, the article describes the task specifically and describes its application areas. Secondly, we analyze the core algorithms in order of technological advancement and briefly describe the performance effects of the methods or models. Thirdly, we present common datasets for both types of tasks as well as evaluation metrics and compare the performance metrics of some recently proposed algorithms. Finally, the paper discusses the opportunities and challenges faced by the field and gives future research directions.
Research on the Mode and Framework of College Entrance Examination and Undergraduate Smart Teaching in the Environment of Smart Media Integration

Starting from the questionnaire survey and statistical analysis of the current situation of postgraduate entrance examination and professional learning in colleges and universities, combined with the policy of training talents in higher education in my country and the background of the integration and development of intelligent media, this paper comprehensively analyzes the current situation between postgraduate entrance examination and professional learning in colleges and universities. It is difficult to take into account the problems of professional learning, ignoring the opportunities for undergraduate teaching practice, the dilemma of choice after failing the postgraduate entrance examination, and the serious mental health problems of students. It also proposes a smart teaching model for postgraduate entrance examination and undergraduate study [1], in order to better serve postgraduate entrance examination students and colleges and universities, improve the quality of undergraduate teaching classrooms, and provide decision-making basis for the improvement of school-running quality.
Development of Intelligent Drill Pipe for Power Supply and Communication

Power supply and communication intelligent drill pipe is a bridge to realize high-speed two-way information communication and power transmission between ground and underground. In order to realize intelligent electrification and informatization of drilling, the ground and underground cables are connected by the way of built-in cable + wet joint in the water hole of conventional drill pipe, and the two-way coupling transmission of power and communication signals is realized through power wave carrier and downhole adapter. Through the simulation and optimization design of key components such as wet joint and the testing of sealing, insulation and signal communication performance of drill pipe system, an intelligent drill pipe for power supply and communication is developed. The tool adopts contact power supply and communication mode, and the performance of 3000 m non relay communication and sealing and insulation reliability in severe water immersion environment have been verified. The tool has been tested in real drilling. The 150 m long wet joint cable only brings about 3 dB attenuation of carrier signal, and the power supply and communication performance are reliable. The development of this drill pipe is of great significance to promote the construction of Intelligent Long-distance non relay high-speed two-way communication channel for drilling automation and the development of accurate control of drilling tool electrification.
Perbedaan Motivasi Dan Hasil Belajar Biologi Peserta Didik SMA Negeri 1 Makassar Antara Media Video Pembelajaran dengan Mobile Learning

This article discusses the differences in learning motivation and learning outcomes of students at SMA Negeri 1 Makassar who are taught through video learning media and mobile learning. This research is a quasi-experimental research. The research design used is Non-equivalent control[1]group design. The variables in this study are the independent variables, namely video learning media and mobile learning, the dependent variable is learning motivation and student learning outcomes. Sampling in this study was done by random sampling technique. One class uses video learning media and the other class uses mobile learning. The results showed that there were significant differences in students' motivation and learning outcomes in classes taught through video learning media and mobile learning. The motivation and learning outcomes of students' biology showed that the class that used mobile learning showed an increase in motivation and better learning outcomes than the class that used video learning media. So it can be concluded that there are differences in the motivation and learning outcomes of biology students who are taught through video learning media and mobile learning in class XI MIPA SMA Negeri 1 Makassar.
A STUDY OF CYTOCHEMICALAND HAEMATOLOGICAL PARAMETERS IN ACUTE LEUKEMIA PATIENTS IN A TERTIARY CARE HOSPITAL

Introduction: Leukemias are a heterogenous group of hematopoietic cells disorders, having varied clinical, morphological, molecular cytogenetic characteristics, and has prognostic and therapeutic implications on identifying them correctly. In limited resource centers, where the genetic and immunophenotyping are not available, the use of cytochemical stains is still have a value in the diagnosis of leukemia. Aim: To evaluate the role of cytochemistry in classifying the various types of Leukemia and its subtypes as well as correlate with the clinical and hematological ndings of the cases. Results: In this study we analyzed 60 cases of acute leukemia and found predominance of lymphoid neoplasms over myeloid leukemia among acute leukemia case, seen more commonly in the childhood category. The gender distribution in both AML and ALL was M:F ratio 1.6:1. Acute leukemias were well studied, with the stains, SBB and PAS, and accurately classied as per FAB classication. Flow cytometry was done in only four doubtful cases to give denitive diagnosis. SBB stain shows 96.2% sensitivity and 100% specicity which helps to correctly differentiate myeloid series from lymphoid series. Conclusion: Cytochemical stains, being cheap, simple and require no special instruments or highly trained personnel are particularly important in developing countries for the diagnosis and treatment of acute leukemia and can be used in places that do not yet have the most advanced diagnostic resources and / or immunophenotyping, cytogenetics and molecular biology
The Effectiveness of Gargling Binahong Decoction Solution and Betel Leaf Decoction Solution Againts Plaque Index (Study on Deaf Children at SDLB Karya Mulia Surabaya)

Deaf children are children who have hearing loss. They have limitations in terms of communication and lack of knowledge, which causes bad behavior. Behavior in maintaining poor dental and oral hygiene causes poor plaque index values in deaf children. The problem in this study is that the plaque index value of deaf students at SDLB Karya Mulia Surabaya is poor. Plaque control can be done by mechanical and chemical means. Chemical control of dental plaque can be done by gargling. Gargling using natural ingredients such as binahong leaves and betel leaves can help reduce plaque because they contain good antibacterial and antiseptic properties. The aim of this study was to determine the difference in the effectiveness of gargling a solution of decoction of binahong and betel leaves on the plaque index in deaf children at SDLB Karya Mulia Surabaya. The type of research used was a pre-experimental design with a pretest-posttest design, with 51 students as research subjects. Methods of data collection by way of observation. The data analysis technique uses the Independent Sample T-test. The results showed that the betel leaf decoction solution was more effective in reducing plaque index in deaf children at SDLB Karya Mulia Surabaya than the binahong leaf decoction solution.
Research on the Realization Mechanism and Evaluation System of High-Quality Undergraduate Education in Private Universities Based on Deep Learning

Abstract Due to the new development stage, it is especially important to improve the education quality of private undergraduate universities. As a result, it is a new hot issue for the construction of mechanisms and assessment systems for the quality improvement of private undergraduate education. In this paper, after analyzing and researching the quality of undergraduate education in present-day universities, the mechanism of deep learning is applied to the establishment of the assessment system. Finally, 1082 samples collected from the data center platform of a private university are analyzed as the research object. From the results, the final size of the combined weights of the seven evaluation items constituting the assessment system differed little. They were 12.81%, 15.78%, 15.28%, 14.38%, 12.83%, 12.81%, 15.01%, and 13.27%, respectively. In the comparison of this paper’s method with FAHP+TOPSIS combined evaluation, euclidean map method, and genetic algorithm assignment, the difference between the seven weight values of the Euclidean map method is larger, 5.56%. The evaluation times of the four methods were 41 s, 38 s, 47 s, and 118 s. Compared with the other three methods, the genetic algorithm assignment took the most time.
Research on vectorized engineering file management model

Abstract To solve the problem of low efficiency of engineering archives management in the general environment, this paper researches vectorized engineering archives management mode. Firstly, the composition of the archive management system is introduced, the basic system is established according to the cyclic management process of engineering archives, and the vectorization technology and characteristics are explained. Subsequently, the traditional vectorization algorithm based on edge structure extraction is used as an example, and further vectorization calculation is carried out using the bilateral filtering model, weighted least squares method, Lo gradient minimization model, Snake parameter activity contour model, geometric activity contour model, and aggregation algorithm. The advantages of vectorization techniques in information extraction are exploited to provide necessary assistance to the actual archive management work. The results show that the images processed by vectorization have the lowest compression rate, with an average compression rate of 55.67%; among the three methods, the image storage space and compression time under vectorization technology are the smallest at about 324MB and 3.4s; and the method in this paper has the highest output signal-to-noise ratio and the lowest mean square error, which well preserves the shape of the signal time domain waveform and has better noise reduction performance.
Analysis of the current situation of university-city integration development based on data mining technology and exploration of the optimization path

Abstract University is an inevitable product of a city’s development to a specific stage. In different social environments and historical stages, universities always develop symbiotically with cities, and the integration of the higher education system and emerging technologies can accelerate the regional economic development of universities and cities. Based on data mining technology, this study uses a neural network algorithm to establish an algorithmic model and sigmoid function as the incentive function to analyze the integration development of the emerging technology industry and university in Dongguan city and provide an optimization path for the integration development of the city and university. The research results show that in the field of scientific and technological research results, the universities in Dongguan City applied for 49,726 patents in 2021 and authorized 25,523, with an efficiency rate of 51.33%. In the area of urban economic development, Dongguan’s GDP in 2021 showed strong momentum, achieving a regional GDP of 108.554 billion yuan, up 8.2% over the previous year.
An innovative training model for developing talents in French language education based on the deep learning model

Abstract Modern society is developing rapidly, new technological means are emerging, people’s mindset is changing day by day, and all aspects of social life have undergone great changes. In such an era, French teaching is facing new challenges, but it is also a new opportunity for teaching reform. The introduction of new deep learning model teaching tools in traditional teaching, the construction of online education, and the adoption of a combination of online and offline teaching models enable French teaching to adapt to the characteristics and needs of the new era and ensure the quality of teaching. The model uses deep learning as technical support and takes the prediction of students’ answers to a question as a judgment indicator. Through the generation of directed graphs in the model, the model structure is optimized to improve its application in predicting students’ answers compared to the classical model. It is prepared for the next step of building a system for personalized question recommendation using deep reinforcement learning. The model plays a role as a student simulator in the recommender system. So its prediction effect reflects the simulation effect on students. Finally, it is experimentally demonstrated that the proposed deep knowledge tracking model based on directed graphs has a significant improvement in prediction effectiveness compared to the traditional model.
Research on the application of dance movement skill analysis in teaching in the context of artificial intelligence in universities

Abstract To explore whether dance movement techniques in colleges and universities in the context of artificial intelligence can bring new developments in teaching methods in the field of teaching and whether its effectiveness can bring some new power to professional training. In this paper, the principle model of the dance technique movement system is used to calculate the correlation coefficient between music and dance movement characteristics. On this basis combined with a genetic algorithm to train the corresponding relationship of different music dance movements, through the accuracy of the corresponding relationship as an adaptation function, to obtain an optimal dance movement correspondence, to get the dance movement matching optimization objective function, and combined with ant colony theory to optimize the solution of this objective function, thus completing the optimization of dance movement matching in music choreography. The research results show that 83.5% of the students think that dance movement skills are relevant in teaching and can achieve the teaching effect faster and more effectively, and 70% of the students think that they have enough learning time to grasp the form of technical movements more skillfully. Therefore, it is very important to analyze the dance movement techniques in colleges and universities to teach and improve the quality of teaching.