Reviewerly/exHarmony huggingface dataset:
Introduction to Metaverse and Video Streaming Technology and Services

This book was written to serve as a guidance to assist the evolution of media streaming, eXtended Reality (XR), and metaverse services ( ). Media streaming and metaverse services share many core technologies in which each can provide a synergistic effect to the others’ future evolution and growth.
Penerapan Model Pembelajaran Kooparatif Tipe Make a Match dalam Meningkatkan Hasil Belajar Siswa Sekolah Dasar

The context of learning Mathematics, students often find it difficult to understand the concepts of KPK and FPB. Appropriate methods are needed to improve students' memory and learning outcomes. The purpose of this study was to determine the effect of applying the make a match type of cooperative learning model on student learning outcomes in mathematics. This study uses Kurt Lewin's CAR Model by using two cycles. The sampling technique was purposive sampling. The sample of this study was 21 students of class IV b SDN 3 Surabaya, East Sakra, East Lombok. The assessment instrument used is a learning test with a KKM of 65%. The analysis technique uses Microsoft Excel. Based on the results of the study, the average student learning outcomes, namely from the first cycle was at 58.57 to 73.33 in the second cycle. The percentage of completeness from 38.09% in the first cycle to 85.71% in the second cycle. The conclusion of this study is that the Make a Match Type Cooperative Learning Model can improve student learning outcomes in mathematics at the KPK and FPB.
Research on e-business image-text review mining based on depth feature fusion

The comment data of e-commerce platform is an important basis for consumers and marketers to make decisions. With the development of platform related technologies, the scale of image comment data shows an increasing trend with stronger information expression ability. At present, the research on the related technology of comment image and comment text is relatively mature, and how to effectively integrate the image part and text part is the focus of image-text comment data research. This paper proposes an e-commerce image-text comment mining model based on depth feature fusion. According to different stages, the model is mainly divided into four stages: image-text comment data acquisition, pre-processing, feature extraction and feature fusion. The e-commerce image-text comment data set is constructed through the data acquisition and pre-processing. In the feature extraction and fusion stage, the graphic information fusion is realized by designing the structure of deep neural network model. The fused features are applied to downstream mining tasks. Finally, the experiment on the data set shows that the classification accuracy of the model is higher than that of single text or single image, which shows that the model can effectively improve the mining effect of image-text comments.
Bayesian Statistics: A Walkthrough with a Simulated Dental Dataset

When a clinician sees a patient with a complication, they often go through a Bayesian style of logic, most likely without even knowing it. They assess whether they have seen the complication before, provide an intervention based on historical knowledge of what leads to improvement, and then later assess how the intervention is performed. This process, which is routine in clinical practice, can be mathematically extended into an alternative way of performing statistical analyses to assess clinical research. However, this process is contrary to the most common statistical methods used in dental research: frequentist statistics. Though powerful, frequentist methods come with advantages and disadvantages. Bayesian statistics are an alternative method, one that mirrors how we as researchers think and process new information. In this primer, a walkthrough of Bayesian statistics is performed by constructing priors, defining the likelihood, and using the posterior result to draw conclusions on parameters of interest. The motivating example for this walkthrough was a Bayesian analog to logistic regression, fit using a simulated dental-related dataset of 50 patients who received a dental implant-classified as either within or outside normal limits-from practitioners who did or did not receive a training course in implant placement. The results of the Bayesian and traditional frequentist logistic regression models were compared, resulting in very similar conclusions regarding which parameters seemed to be strongly associated with the outcome.
Application of Homomorphic Encryption in Machine Learning

Big data technologies, such as machine learning, have increased data utility exponentially. At the same time, the cloud has made the deployment of these technologies more accessible. However, computations of unencrypted sensitive data in a cloud environment may expose threats and cybersecurity attacks. We consider a class of innovative cryptographic techniques called privacy-preserving technologies (PPTs) to address this problem. That might help increase utility by taking more significant advantage of the cloud and machine learning technologies while preserving privacy. The first section provides a brief introduction to the so-called homomorphic encryption “HE” by giving an overview of the most promising schemes and then giving the current state of the art of HE tools such as libraries and compilers. This section aims to help non-cryptographer developers propose HE solutions by explaining what makes developing HE applications challenging. Then, we address the privacy-preserving in machine learning (PPML), an approach that allows to train and deploy ML models without exposing their private data. After exploring state of the art for the most used ML models in PPML, we will overview applications of homomorphic encryption in machine learning.
Research on the Implementation of Music Teaching in Colleges and Universities of Northwest China During the COVID-19

During the COVID-19 pandemic, with the implementation of E-education, online teaching has attracted extensive attention in all areas of education. Online education has developed rapidly in the era of "Internet +" and continuously improved in education industry of China. Using remote online teaching mode during epidemic period is a good alternative, but it is also a great challenge and exposes a series of problems, especially for the music courses. In this study, we attempt to analyze the problems faced in online teaching of the music discipline in colleges and universities of northwest China by employing the questionnaire method. The implementation of online teaching of the music courses, including the advantages and disadvantages, existing problems and solutions were investigated and evaluated. The results will help to develop the online music education in colleges and universities of northwest China.
Mapping Sandy Titano-Uraniferous Deposits in Tabou Region, South-West Cote d’Ivoire: Contribution of Magnetometry and Gamma-Ray Spectrometry

The work of the Geological and Mining Research Office (BRGM) in Côte d'Ivoire, with Tagini and Papon, has revealed, in addition to substances such as gold and manganese, indications of nuclear substances in some areas of the country.Côte d'Ivoire's mining policy is to develop the riches of its subsoil.The lack of information on the reserves of nuclear substances does not currently allow the Ivorian state to exploit these nuclear resources.This work is part of the framework to deepen our knowledge on these substances.Carried out in the south-west of Côte d'Ivoire, along the coast, this study confirmed the reported uraniferous indications and helped to identify their origin.Uranium accumulations were found in beach sediments in significant quantities between Bliéron and Soublaké.
Ensuring prompt cloud service provider based on service level agreement using fuzzy logics and decision support system

Cloud service users (CSU) subscribe services from a specific cloud service provider (CSP). Several cloud service providers may offer the same as well as different services. Hence various factors have to be considered while selecting a CSP which offers the same type of services. An intelligent third party (ITP) helps the CSU in choosing a best suited CSP by capturing the requirements from CSU using fuzzy logics. These are matched with service offerings of the CSPs using multi criteria decision making process called the analytic hierarchy process (AHP) and the best suited CSPs are suggested by ITP among the registered CSPs to the CSU. A negotiation process follows where the CSU can make their choice in choosing the suggested CSPs. A partial SLA is generated between the CSU and preferred CSP defining the various services selected attributes provided by the CSP, other requirements of CSU and violation details.
Optimization Method of English Listening Classroom Teaching for College Students Based on Neural Network

The existing teaching evaluation methods and models have some problems, such as strong subjectivity and randomness, difficulty in determining index weight, over-fitting, slow convergence and weak computing ability.Firstly, this paper states the research background, research status, research questions, research methods, expected research results and innovation points of the subject in detail.Then the relevant theoretical basis of convolutional neural network used in this paper is described.In this paper, a teaching evaluation model based on (BPNN)(BPNN) is established.Taking the actual situation of English listening teaching in a college in this city as an example, the data were collected and preprocessed.Then the structure of BPNN is determined according to the established evaluation system, and the data is input to train the network, and the evaluation result is obtained.Finally, the error analysis of the results is carried out.
Content Creation: Tips, Tricks, and Info

Social media has been a driving force in marketing and personal development since Myspace. There are a lot of cons involved with social media—data mining, lack of support regarding racism and sexism, algorithm bias, lack of moral accountability from the companies for perpetuating racism, conspiracy theories, Zionism, etc. However, if we delve through the garbage, there is the original point of social media, and that is the connection with other people that share your interests no matter where they are.
A deep learning signed medical image based on cryptographic techniques

Innovative medical multimedia communications technology requirements have enhanced safety principles, allowing significant advancement in security standards. In hospitals and imaging centers, massive amounts of medical images have been created. To successfully access the medical databases and utilize those rich resources in assisting diagnosis and research, image processing enabled communication solutions are necessary. Our article presents a rigorous verified model by employing deep learning to enhance the cryptographic performance of biomedical images using hybrid chaotic Lorentz map diffusion and de-oxyribonucleic acid (DNA) confusion stages. It consists of two encryption/decryption techniques, the initial signal is verified using digital signature and two unique non-consecutive stages of chaotic diffusion with a single DNA scrambling stage in between. The encoded secret bit stream is generated and used to encrypt or decode the original signal in the diffusion manner to disintegrate the redundancy in the plain image statistics, utilizing hybrid chaotic system. Using DNA confusion step to make the relationship between the original signal and the utilized key more ambiguous. These stages make the proposed image cryptosystem more resistant to known/ chosen plaintext assaults. The performance of the suggested technique will be assessed to the most similar techniques reported in the literature for comparative purposes.
Design of Electricity Listing Transaction Based on Blockchain Smart Contract

With the advancement of electric power system reform, large-scale small and medium-sized users have poured into the retail market, and transactions with electricity retailers will be more frequent, which put forward a severe test for the existing centralized mode. Blockchain technology possesses the characteristics of decentralization, openness and transparency, safety and credibility. It has a natural fit with the business characteristics of decentralized and non-centralized decision-making requirements of the electricity retail market, which has more application advantages than traditional centralized systems. So, this paper proposes an electricity listing transaction mechanism based on the blockchain smart contract and designs the process and model of electricity listing transactions. Then, based on the Hyperledger Fabric platform, the smart contract for electricity listing transactions is designed, and a case is implemented to verify the effectiveness of the proposed listing transaction mechanism.
Multi-Scale Feature Extraction Model with Motion Attention for Human Motion Prediction

Skeleton-based human motion prediction is an increasingly popular work in computer vision, and it has important guiding roles for many practical applications in our real life, such as video surveillance, human motion synthesis, and human-computer interaction. We observed that in real life, human tends to repeat previous motions, especially periodic motion like walking. Moreover, we can obtain poses at multiple scales by merging multiple joins connected into one join recursively to obtain spatial-temporal features at multiple scales. In this paper, we propose a multi-scale feature extraction model with motion attention for human motion prediction. By fusing features at multiple scales, we can extract features with richer relationships in spatial dimension as well as temporal dimension. Then, the fusion features are fed into the multi-scale motion predictor to obtain the future motion sequence. We conducted experiments on Human 3.6M dataset. The performance is higher than that of the latest method. The experimental results prove the validity of the proposed model.
Development of Industrial Engineering for Tablecloth Crafts, Collaboration with Gorga Naualu Village and Banji ornaments

The development of industrial engineering specifically for tablecloths is a creative activity in the Fashion Design Education Study Program, State University of Medan which produces new products.The method applied to the creative activity is the explosive method.The process of developing creative tablecloths for the dining room, namely; 1) general material about art and design; 2) concept map creation; 3) visual sketches; 4) design of basic motifs and master motifs with coreldraw media; 5) making dining room tablecloths on the patchwork technique; 6) scientific work on craft creation.The activity of developing the tablecloth craft industry aims to improve the skills and knowledge of students in the field of craft and design.So that the preservation of regional culture has increased and is maintained properly.
Management of School Operational Assistance Funds at SMKN 2 Kuripan, Lombok Regency, Indonesia: Reviewing From Planning Aspects

This study aims to determine budget planning in fund management School operational assistance at SMKN 2 Kuripan, Lombok Regency, Indonesia. This research is qualitative research with a elements descriptive method. Data collection was carried out through document analysis, observation and interviews. The results of the study found that the planning was carried out with a meeting to determine program funding which was attended by the school team. It was prepared by making an activity plan and budget adjusted to the School Work Plan and referring to National Education Standards. The conclusion is that management in planning aspects of School Operational Assistance funds is carried out procedurally, but those organization and reporting are not optimal.
Mobile Collaborative Robot with Obstacle Avoidance

This product has been designed to scan and inspect the flooring of a predefined space. Essentially, a camera at the tip of an arm mounted on a mobile base scans the environment as the robot moves. The robot’s components can be programmed to halt all motion upon noticing any discrepancies in its scanning, and to then take photographs of said discrepancies before continuing along its trajectory. The applications of such a device can range anywhere from a simple workplace janitorial overview to industrial aircraft jet fuel tanks’ safety inspections, wherein the robot can examine the tank for leaks, cracks, or corrosion
SITAMPAN: Mobile application for planting and harvesting of horticultural crops in Garut Regency

Garut Regency’s agriculture sector has the most impact on the region’s GDP compared to other sectors. The Central Statistics Agency reports that the agricultural sector’s contribution was 39.11% in 2014 and will be 37.97% in 2020. The farmer’s inability to manage their crop goods is the primary cause of the contribution decline. The study aims to build a prototype of a mobile application information system for planting and harvesting. commodities based on a geospatial information system. The research method used was field surveys, interviews, and focus group discussions (FGD) with farmers, farmer group leaders, agricultural extension workers, and officials at Garut Regency Agriculture Office. The designed application is Sitampan which stands for Sistem Informasi Tanam dan Panen (Planting and Harvesting Information System). The users of this application are farmers, farmer group leaders, agricultural extension workers, and Garut Regency Agriculture Office. Each user will have a specific role and access based on their roles. The public can only see the data contained in this application. In conclusion, this app can serve as a platform for information and communication for farmers. Farmers can use this app as a decision-making tool to manage their crops, including when to sell, plant, and harvest. Hopefully, this application will enhance the welfare of farmers, particularly those in Garut district, one of the industries that have the most impact on the Indonesian agricultural sector.
Improvement of the automatic gamma correction method in cloud image detection

Clouds become an important part of human life and are studied in several disciplines in the form of important analyses in some applications. Examples of application of cloud analysis on solar panels or photovoltaics, accurate weather forecasts, accuracy of rainfall predictions, application in the field of meteorology, imaging of the sky in some cases, air humidity survey, and the case of turbulence on Aircraft caused by clouds cumulonimbus. The structure and shape of the clouds are continuously changing, becoming an interesting part to detect. The cloud detection process can be done by taking several samples of imagery from the cloud and the image processing process is done. Most research processes RGB cloud imagery into HSV cloud imagery, Some research using the image detection method of flying apply the channel's convolution R-B, R/B, ????−????????+????, dan chroma C = max(R, G, B)-min(R, G, B). Gamma correction has an efficient characteristic of storing and dividing imagery by small bits, thus the study proposed an image detection development using automatic gamma correction, with ground truth being Image data from SWIMSEG Nanyang Technological University Singapore. The proposed method in the proposed study obtained a precision value and better computing time with a precision value of 0.93 and a computational time of 0.71 sec.
Layanan Konsultasi Melalui Parental Mediation untuk Meningkatkan Literasi Digital Siswa

This study aims to describe consulting services through parental mediation strategies as an effort to improve students’ digital literacy. This is achieved through the library method by reading relevant data sources related to the themes of consulting services, parental mediation, and digital literacy. The information obtained is analyzed, recorded, and processed by in-depth content analysis and written in a narrative manner into the research results. The results of the study show that consulting services with parental mediation can be used to help improve students’ understanding of digital literacy. Service implementation is carried out through: (1) introduction stage; (2) situation description/ problem identification and analysis of problems; (3) the selection of solutions and how to use them; (4) demonstration of the selected solution; (5) conducting training and feedback; (6) giving homework; (7) evaluating the process and results and (8) terminating the consulting relationship. The implications of the study are to strengthen the role of school collaboration with parents in children's education and increase positive internet skills in students when learning at home.
Penyuluhan Penanganan Kedaruratan Trauma Gigi Di Masa Pandemik Covid-19 Pada Ibu-Ibu PKK Cideng - Jakarta Pusat

Dental trauma is an injury involving the teeth and/or involving the supporting structures of the teeth. Dental trauma can cause tooth fracture, tooth displacement, tooth loss (avulsion), or damage to supporting tissues (gums and bones). During the Covid-19 Pandemic Period, mothers have more dominant time with their children, so they are expected to provide quick and effective action in dental trauma cases. This community Service Counseling aims to increase knowledge and skills in dealing with dental trauma problems. Counseling was carried out by the Trisakti University Faculty of Dentistry Team to PKK organization in Cideng, Gambir, Central Jakarta on January 5, 2022. Counseling includes the knowledge on handling emergency dental trauma using webinar methode with power point and animated videos. There is a significant difference in the mean percentage of correct answers between the pre-test (54,23 + 16,47) and post-test (68.58 + 11.45) with a significance level of p = 0.013. Thus, it can be concluded that after the Counseling activity, there is an increase in the level of knowledge regarding the handling of emergency dental trauma. Training is needed to improve skills so that trauma emergencies can be handled better
75 Years of Foreign Language Policy in Italian Schools: The Role of ANILS

During the Fascist regime, foreign language teaching was prohibited. After the war, one of the main factors – both symbolic and factual – of Italy opening up to the world was the renovated role of foreign languages in the Italian School system. ANILS, the National Association of Foreign Language Teachers, has been active in Italy since 1947, and this article deals with its role in defining the main lines of linguistic policy in the Italian school system for the last 75 years. The authors, both former presidents of the Association, claim that ANILS gave a relevant contribution to moist of the innovative ideas that changed the role and the teaching of foreign languages of Italian as a Second and Foreign Language in Italy.
Review Paper-II on Study and Design of Mini Dam on Adan River near Bori Gosavi Village

Abstract: Mini dams offer a lifeline to communities during the dry season. The paper discusses issues related to Flood condition, the paper explores, the development, operation, and management of mini dam on Adan River. the main goal of this project to protect the bori gosavi from flood and gives potable amount of water as per future demand. Flood condition is more severe in Bori gosavi because of its location placed on the bank Adan River and in summer season, they are facing the problem of water scarcity due to their adverse planning of storing water. the one of the solution on this problem is to throw back the river water and store the water by constructing mini dam on Adan river away from few kilo-meters of bori gosavi.Dam play’s an important role in the provision of many kind of benefits such as drinking and irrigation, water supply, small hydro power generation, fishing and so on this will increase the agricultural growth of farmers by providing sufficient amount of water.This dam will help to villagers to increase the agricultural protection and the safety unconfined flood condition.