Reviewerly/exHarmony huggingface dataset:
APPLICATION OF EDUCATIONAL DATA ANALYSIS METHODS IN THE EVALUATION OF LESSON SCENARIOS IN THE MOSCOW ELECTRONIC SCHOOL

The article discusses the implementation of educational data mining methodology, including traditional Data Mining methods (classification, clustering, rating analysis, etc.), to identify patterns in the assessment of lesson scenarios in the Moscow Electronic School by experts. The authors describe the educational data mining methodology as an approach to designing organizational and managerial decisions.
A Low-complexity Complex-valued Activation Function for Fast and Accurate Spectral Domain Convolutional Neural Network

Conventional Convolutional Neural Networks (CNNs), which are realized in spatial domain, exhibit high computational complexity. This results in high resource utilization and memory usage and makes them unsuitable for implementation in resource and energy-constrained embedded systems. A promising approach for low-complexity and high-speed solution is to apply CNN modeled in the spectral domain. One of the main challenges in this approach is the design of activation functions. Some of the proposed solutions perform activation functions in spatial domain, necessitating multiple and computationally expensive spatial-spectral domain switching. On the other hand, recent work on spectral activation functions resulted in very computationally intensive solutions. This paper proposes a complex-valued activation function for spectral domain CNNs that only transmits input values that have positive-valued real or imaginary component. This activation function is computationally inexpensive in both forward and backward propagation and provides sufficient nonlinearity that ensures high classification accuracy. We apply this complex-valued activation function in a LeNet-5 architecture and achieve an accuracy gain of up to 7% for MNIST and 6% for Fashion MNIST dataset, while providing up to 79% and 85% faster inference times, respectively, over state-of-the-art activation functions for spectral domain.
Extension Agents’ Use of Mobile Phone Applications for Agricultural Extension Service Delivery in Ebonyi State Agricultural Development Programme, Nigeria

This study assessed extension agents’ use of mobile applications (apps) for extension service delivery in Ebonyi State Agricultural Development Programme (EBADP). The study involved 100 field extension agents. Percentage and mean score derived from 4-pointLikert-type scale was employed in the analysis of data. The results of the analysis showed that the most utilized mobile apps for extension service delivery were WhatsApp (76%) and facebook (53%). Lowland rice production (65%), cassava/maize/vegetable production (58%), and upland rice production (47%) were the most recommended packages of crop production component that were extended using mobile apps in EBADP. However, the use of mobile apps for extension service delivery were limited as a result of unavailability of network coverage in rural area (84%), lack of institutional policy for application of mobile apps in extension service (75%), low ownership of smartphones among farmers (73%), poor farmers’ knowledge on the use of mobile apps (67%), and poor internet connectivity (66%). Government should initiate e-extension policy, making mobile apps extension services mandatory for public extension organizations; extension organizations should develop specific mobile apps that will support extension service delivery; and organizing training programmes for extension agents on the use of mobile apps for extension service delivery.&#x0D; Keywords: Mobile apps, smartphones, extension service, WhatsApp, Facebook
Verification Algorithm for the Duplicate Verification Data with Multiple Verifiers and Multiple Verification Challenges

The cloud storage provides flexible data storage services for data owners to remotely outsource their data, and reduces data storage operations and management costs for data owners.These outsourced data bring data security concerns to the data owner due to malicious deletion or corruption by the cloud service provider.Data integrity verification is an important way to check outsourced data integrity.However, the existing data verification schemes only consider the case that a verifier launches multiple data verification challenges, and neglect the verification overhead of multiple data verification challenges launched by multiple verifiers at a similar time.In this case, the duplicate data in multiple challenges are verified repeatedly so that verification resources are consumed in vain.We propose a duplicate data verification algorithm based on multiple verifiers and multiple challenges to reduce the verification overhead.The algorithm dynamically schedules the multiple verifiers' challenges based on verification time and the frequent itemsets of duplicate verification data in challenge sets by applying FP-Growth algorithm, and computes the batch proofs of frequent itemsets.Then the challenges are split into two parts, i.e., duplicate data and unique data according to the results of data extraction.Finally, the proofs of duplicate data and unique data are computed and combined to generate a complete proof of every original challenge.Theoretical analysis and experiment evaluation show that the algorithm reduces the verification cost and ensures the correctness of the data integrity verification by flexible batch data verification.
INTRODUCING ENGLISH TO EARLY CHILDHOOD THROUGH SINGING WITH THE TOTAL PHYSICAL RESPONSE METHOD

Introducing English from an early age should be supported by adequate media and infrastructure. Learning should be arranged in such a way as to give birth to learning activities that are important and fun. Therefore, it requires perfect and efficient teaching methods. Research on "Introducing English to early childhood through singing with the TPR method" aims to introduce English by singing to early childhood at al-Hidayah Kindergarten, Greged District, Cirebon. The method used is a descriptive analysis of activities carried out by fostering the ability to recognize English in early childhood. The process is carried out using several methods such as singing while playing and singing, with movements using learning media. The conclusion is that by using the singing and playing method, early childhood children can easily recognize the vocabulary, and can accidentally add to the vocabulary of the child.
Finding Similar Entities Across Knowledge Graphs

Finding similar entities among knowledge graphs is an essential research problem for knowledge integration and knowledge graph connection. This paper aims at finding semantically similar entities between two knowledge graphs. This can help end users and search agents more effectively and easily access pertinent information across knowledge graphs. Given a query entity in one knowledge graph, the proposed approach tries to find the most similar entity in another knowledge graph. The main idea is to leverage graph embedding, clustering, regression and sentence embedding. In this approach, RDF2Vec has been employed to generate vector representations of all entities of the second knowledge graph and then the vectors have been clustered based on cosine similarity using K medoids algorithm. Then, an artificial neural network with multilayer perception topology has been used as a regression model to predict the corresponding vector in the second knowledge graph for a given vector from the first knowledge graph. After determining the cluster of the predicated vector, the entities of the detected cluster are ranked through sentence-BERT method and finally the entity with the highest rank is chosen as the most similar one. To evaluate the proposed approach, experiments have been conducted on real-world knowledge graphs. The experimental results demonstrate the effectiveness of the proposed approach.
Application and Design of Inspection Robot System Based on Multi-parameter Hierarchical Inspection of UHV Substation

In this paper, a new substation inspection robot system is introduced, to meet the application requirements of multi-parameter full-station automatic hierarchical inspection of the insulation status of power equipment in UHV ( Ultra-High Voltage ) substation. The system is designed to control the inspection of substation robots, including identifying the number of meters on the cabinet, measuring partial discharge, measuring temperature and humidity and so on . The system is divided into two parts. One part runs in the robot body ,which is called the body control system , and it contains web server, robot ground control system and database. The other part runs on external industrial computer, which is called station control service system. The function of the body control system is more specific, mainly for controlling its own motor driver, in order to complete its own motion. The station control service system achieves important logic control, including configuring inspection plan, visual recognition, robot walking path planning, and writing inspection results into the database.
A fast stitching method for container images using texture and weighted speed

With the rapid development of oceans economy, a huge number of shipping containers are transported all around the world.To reduce the risk of container damages during the transportation, existing solution relies mainly on human beings to observe the container appearance before or after it enters a dock, which is time-consuming and inaccurate.To solve this problem, one intelligent approach is to develop an automatic container damage detection framework based on computer vision techniques.But how to obtain the panorama images for container damage detection is a challenging issue.In this paper, a real-time container panorama producing system is developed based on container surveillance videos, which is implemented by container image stitching with texture features.When there is no reliable offset, the weighted speed for splicing is used.Experimental results indicate that the developed system could achieve approving results in a real-time manner.
Using the Hello English Application in the EFL Classroom: Its Efficacy in Helping Students to Master Vocabulary

Integrating technology as a teaching media in language learning has been widely promoted by teaching practitioners. Mobile Assisted Language Learning (MALL) is among the most popular approaches used in EFL classrooms and has been reported in some studies to be beneficial in supporting students’ language learning process. This study aimed to determine whether employing MALL through the Hello English (HE) application as a teaching media could significantly affect the mastery of vocabulary of eighth grade students in an English as a Foreign Language (EFL) Junior High School ( JHS) classroom. Using a quantitative approach with a quasi-experimental design, this study presented the numerical data collected through a multiple-choice test. In analyzing the data, t-tests were employed with a 5% (0.05) significance level using the SPSS statistical test tools v.20. According to the results, the HE application had a significant effect on the students’ mastery of the vocabulary, and so it is recommended that the HE application be used as a tool in the English language teaching and learning process.&#x0D; Keywords: Hello English appl MALL, vocabulary mastery, junior high school, EFL
One-shot static entanglement cost of bipartite quantum channels

We first investigate the one-shot static entanglement cost to simulate a bipartite quantum channel under the set of nonentangling channels. The lower bound on the one-shot static entanglement cost is given by the generalized robustness of the target channel as well as the robust-generating power of the channel, which implies that the cost necessary to generate a bipartite quantum channel might not be retrievable in general. Next, we conceive a set of quantum channels that extends the set of nonentangling channels. We find out that the one-shot static entanglement cost under the extended set of channels is given by the channel's standard log-robustness. This quantity also gives the one-shot dynamic entanglement cost under a set of free superchannels that do not generate a dynamic entanglement resource; the extended set is shown to be equivalent to the set of free superchannels.
Interactive Game Application of Cooking Malay Traditional Cuisines Toward Teenagers in Malaysia

The proposed interactive game application of cooking Malay traditional cuisines is a game designed to teach teenagers aged 12 to 24 years old in the cooking. There were a bunch of interactives cooking game applications on the internet, except for Malay cuisine games. This game is created to attract teenagers to making Malay traditional cuisine in interactive and fun ways. In this game, the user needs to follow the storyline in the game. Then, in the early game, they were given a list of ingredients to make some Malay cuisines. The player will be given the customer’s requested food picture. Then the players need to click the right ingredients in making of the requested food by customer. If the player picks the wrong ingredients, then need to pick the ingredients from the start again. Next, this game concept is casual. With the time given, the players need to complete the order with minimum specific score to move forward to next stage. If they achieve the best result, the player will gain extra money and extra time bonus in the game. This game created with a different type of menus based on every chapter of the story. This game can attract teenagers to learn about cooking and the ingredients used in the food. This game is created to educate teenager yet entertain them at the same time.
Study on the Adsorption of Heavy Metal by Extracellular Polymeric Substances Extracted from Proteiniphilum acetatigenes PSB-W

The negatively charged coordination groups on the structure of these biomolecules, which is the main components of extracellular polymeric substances (EPS), have good adsorption efficiency for heavy metals.In this paper, EPS form Proteiniphilum acetatigenes PSB-W which was extracted by EDTA method, and the effects of pH, EPS dosage, adsorption time and initial metal concentration on the adsorption regularity of Cu 2+ and Pb 2+ ions on EPS structure were studied respectively, as well as the adsorption efficacy of EPS on Cu 2+ and Pb 2+ heavy metals was also studied.The results showed that the adsorption of Cu 2+ and Pb 2+ by EPS was favorable when the pH value was 6.The adsorption equilibrium time of Cu 2+ and Pb 2+ by EPS was about 50 min.When EPS concentration was 96.6 mg/L, EPS had the best adsorption effect on Cu 2+ and Pb 2+ .The adsorption efficiency of EPS to Pb 2+ was higher than that of Cu 2+ .EPS extracted from Proteiniphilum acetatigenes PSB-W can be used in the treatment of heavy metal pollution, which has great significance in the removal of heavy metals from sewage.
The Lack of Enforcement of the DRM Policy

In this digital era, numerous copyrighted items such as music and movies can be enjoyed online. However, our activities in enjoying those entertainments are also limited by the copyright law. Some contents are also protected by Digital Rights Management, which makes sure that the user who purchases the item is the only person who has the right to enjoy the content. All of these rules are obviously made to make sure that everything is in order. Therefore, those illegal activities can be brought to justice. However, the lack of communication might present an ambiguity to the users, and those users might unconsciously do illegal things that are previously forbidden. Other than that, the law itself has its own limitation in the aspect of execution and enforcement, causing pirated versions of a content can be found easily on the internet. This paper is going to review the current condition of the execution of the law regarding the DRM protected contents.
Menu Engineering on Main Course to Increase Sales

Purpose: This research is to determine the level of popularity and the level of contribution margins on the main course menu and strategies that can be done to increase food sales at a restaurant of a big hotel located in Kuta, Bali, Indonesia.&#x0D; Research methods: The method used in this research is observation, interviews, literature study, and documentation. The data analysis technique used is the menu engineering analysis technique.&#x0D; Findings: Among 18 main course menus, 3 or 16.7% is categorized into the high popularity level and 15 or 83.3% into the low popularity level. Fourteen menus or 77.8% have a high contribution margin level is and the menu that has a low contribution margin level is 4 menus or 22.2%. There are 3 menus or 16.7% in the plowhorse category, as many as 14 menus or 77.8% into the puzzle category, and there are 1 menu or 5% into the dog category.&#x0D; Implication: Strategies to increase food sales are by maintaining the menu, maintaining quality and increasing food prices, promoting the menu, and considering deleting the menu or replacing it with a new menu.
HYPER-ELLIPTIC CURVE BASED SIGNCRYPTION SCHEMES FOR RESOURCE CONSTRAINT DEVICES IN IOT

The Internet of things has become part of our day to day life as many more devices are connecting to the internet, the number is increasing rapidly. IoT devices have become the element in our day to day life. Such as many tiny devices are continuously monitoring our health homes and providing sensitive information which can be analyzed and help for decision making. This important data must have enough security. Hence, the security and efficiency of these IoT devices play an important role therefore various efforts are made to make these resource constraint devices highly secure and efficient. Signcryption is one of the techniques to increase efficiency as compare to traditional signature then encryption schemes. Signcryption along with the hyper-elliptic curve (HECC) can reduce the computational cost of the encryption schemes along with the provision of higher security.&#x0D;
Pengenalan Objek Museum dan Monumen PETA Menggunakan Markerless Augmented Reality Berbasis Android

PETA Museum and Monument is a museum that collects various kinds of historical objects that are very important to the Indonesian people. To keep up with the times, there is an idea to apply Augmented Reality technology which is expected to make it easier for museums to introduce objects to the public. Augmented Reality is a technology that combines an artificial engineering object that has been made previously with the real world in real time. Artificial engineering objects can be in the form of 2-dimensional images or 3-dimensional images, but 2-dimensional images can only be seen from one direction, while 3-dimensional images can be seen from all directions, for example the front, left side, back, right side, up and down . There are several Augmented Reality methods for bringing up engineering objects, including using the marker method where the method requires a marker to bring up the object, but Augmented Reality has been developed to produce a new method that makes it easier for users, namely the Markerless method which is unnecessary again a marker for displaying engineering objects because the system has recognized various surrounding environmental surfaces such as recognizing object shapes, face shapes, plane shapes and so on. So that objects can be displayed in various places without the need for tools such as markers or box-shaped objects. Based on statcounter.com data, it is known that in 2020 the largest operating system in Indonesia is the Android operating system with a market share of 92.3% and is supported by data from statista.com which shows smartphone users in Indonesia are 81.87 million users. The use of Augmented Reality in the introduction of museum objects and map monuments is expected to assist museums in the introduction of using technology.
Cybersecurity Talent Shortage

Different reports show that organizations face a number of hurdles in their efforts to better protect sensitive data. Most frequently mentioned is the challenge of enforcing security policy across the data lifecycle (57%), followed by lack of expert staff (50%), and lack of budget (48%). This article includes the statistics regarding cybersecurity threats and attacks, professionals’ shortage and the expected knowledge, skills and experience for doing this kind of job. Also the article offers some possible solutions for solving this problem, as well as the advantages and disadvantages of different options.
An Empirical Study of Starting Salaries and Employment Trends of Engineering Students in India

This paper presents an empirical study of a recently compiled workforce analytics data-set modeling employment outcomes of Engineering students.The contributions reported in this paper won the data challenge of the ACM IKDD 2016 Conference on Data Science.Two problems are addressed -regression using heterogeneous information types and the extraction of insights/trends from data to make recommendations; these goals are supported by a range of visualizations.Whereas the data-set is specific to a nation, the underlying techniques and visualization methods are generally applicable.Gaussian processes are proposed to model and predict salary as a function of heterogeneous independent attributes.Key novelties the GP approach brings to the domain of understanding workforce analytics are (a) statistically sound notion of uncertainty of prediction that is data dependent, (b) automatic relevance determination of various independent attributes to the dependent variable (salary),(c) seamless incorporation of both numeric and string attributes within the same regression frame-work without dichotomization; specifically, string attributes include single-word or categorical (e.g.gender) or nominal attributes (e.g.college tier) or multi-word attributes (e.g.specialization) and (d) treatment of all data as being correlated towards making predictions.Insights from both predictive modeling approaches and data analysis were used to suggest factors, that if improved, might lead to better starting salaries for Engineering students.A range of visualization techniques were used to extract key employment patterns from the data.
Implementation of socio-pedagogical conditions of spiritual and moral development of students in the educational process of the university

The article, dedicated to the actual problem of spiritual and moral development and education of bachelors of the pedagogical direction, presents a meaningful analysis of the possibilities and prospects of educational and other organizations carrying out educational activities in the implementation of spiritual and moral development and education of students in social and pedagogical conditions. The directions of interaction between educational organizations and students are determined as a condition for the spiritual and moral development of students in the educational process of the university. The ideas of enlightenment and educational activities for the spiritual and moral development of students of the university, the teachers themselves, based on the basic national values and traditions of national culture. The article presents the fundamental principles of spiritual and moral education and development of bachelors. The main directions of work on the formation of basic concepts included in the structure of self-consciousness are proposed. The role of the consolidating participants in the educational process in the spiritual and moral education of young people is determined. An attempt has been made to analyze educational programs focused on solving the problems of education, development and socialization of university students.