Reviewerly/exHarmony huggingface dataset:
The Impact of Using Video Media in Increasing Motivation for Speaking Ability

The purpose of this study was to determine the impact of using video media in increasing the motivation of the cadets' speaking skills. This research was conducted to determine the contribution to the motivation of speaking skills as a result of the use of video media for aircraft engineering cadets. The method used in this research is an experiment in which the research stage is carried out in two cycles. The results of this study indicate dIn the first cycle, it showed an average score of 66.61 which was in the sufficient category, and showed an increase in the second cycle to obtain an average score of 80.88 which was included in the good category. This increase shows the impact of using video media in improving the speaking skills of cadets.
The COVID-19 Pandemic Crisis and International Law: A Constitutional Moment, A Tipping Point or More of the Same?

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SSN_SEM: Design and application of a fusion ontology in the field of medical equipment

The importance of standardized operation of medical equipment is self-evident. An effective method is to construct the medical equipment domain ontology as the background knowledge base, and make judgments on the legality of the user’s operation sequence based on the ontology, and guide the user to legally operate the equipment. After analysis, medical device data mainly comes from internal sensors. If we want to build an ontology background knowledge base, we can combine data with user operations, map the ontology to events, and build a directed graph model through events to form the final ontology. In this paper, we take the atomized particle preparation device in the field of medical equipment as an example, and selects and constructs the ontology by analyzing the internal structure and use process of the device.The application-level ontology selects the SSN ontology in the sensor field, and the upper ontology selects the general event ontology SEM. Combining the above two ontology and the characteristics of the medical device field, the ontology SSN_SEM is constructed, and the actual data of the device is semantically annotated through the SSN_SEM ontology, which verifies the validity of the ontology.
Design and Realization of a Network Platform for Cultivating Professional Information Literacy of Design College Students

In the future society, the informatization and networking of education will continue to deepen, and teaching work under the network environment will gradually mature. Using the network platform to strengthen the cultivation of professional information literacy for design college students, the development of technology will provide a case reference for the development of related network platforms for the development of design college students’ professional information literacy cultivation, and play an important role in cultivating the professional information literacy of design college students. The purpose of this article is to study the network platform for the cultivation of professional information literacy of design college students. This article has determined the functional structure of the PBL-based design college students’ professional information literacy cultivation platform, and completed the design and implementation of the network platform accordingly. The platform mainly includes related dynamics, latest announcements, topic knowledge, extended knowledge, question bank, learning communication and other modules. The user types are divided into three categories: visitors, ordinary users and administrators. The learning communication module in the platform realizes the interaction between users. communicate with. This article puts forward the strategy of using the network cultivation platform to carry out college professional information literacy teaching. This paper analyzes the existing network platforms for the cultivation of professional information literacy, analyzes their characteristics, functions and deficiencies, combined with the previous questionnaire survey, and after detailed analysis and summary, determines the design college students based on PBL the functional structure of the professional information literacy cultivation platform, and the design and implementation of the network platform based on this. Research shows that more than 88% of students have their own computers, and 35.3% of students spend 1 to 3 h online every day, which shows that the hardware environment for professional information literacy education for students is entirely possible.
Real Estate for Sale application using Kotlin Language in android Technology

These days, individuals don't have to stress over going out on the town to shop any longer. They can change position their fingers and what you need to purchase can be sent to the entryway. The most important component of this app is the customer gets exact data on a unique link using the Real Estate for Sale (RES)  app. During the most recent years, engineers of mobile apps have the likelihood to utilize new ideal models and tools for creating mobile apps. This paper describes an RES  app developed using Android Studio 3.0 beta. In this research we designed the app utilizes Kotlin language  on android studio support since it gives a rich app framework that enables the customer to generate the inventive systems in java language.  Kotlin is accomplishing a critical dispersion among engineers, and a few researches have featured different points of interest of the language when contrasted with Java. The mobile apps composed utilizing Kotlin environment have preferable quality over the apps composed utilizing the conventional methodology for creating local mobile applications RES app is supported with choices to smooth  search operation and to notice exactly what clients are looking for rather than driving around city in places that you like to buy the resources,   The various components just select the town  and neighborhood, the location of the property , and a money range you are prepared to pay. Moreover, contact data of the salesman is usually ready for use.Keywords- Android Studio; Mobile App; Kotlin Language;, Real Estate.
ANALISIS TOKOH ABAH DALAM FILM KELUARGA CEMARA DAN HUBUNGANNYA DENGAN PEMBELAJARAN BAHASA INDONESIA DI SMA (TINJAUAN PSIKOLOGI SASTRA)

AbstractKeluarga Cemara movie’s is family drama produced by Visinema Pictures. This film is adaptation of famous TV series at 90th. The aim of the research to describe the characterization abah, psychology of abah, and relation with Indonesia language learning in high school. From the data analysis, it can be concluded that the main character (abah) as the head of the family has the nature of responbility, not easly discouraged, hard working, merciful, forgiving, gentle, patient, and firm. All phsychology need have been fulfilled from the most basic needs to the highest need, namely phsycologycal needs, security need, need for love and belonging, self-esteem need, and self actualization need. The result of this study can be used as material for learning Indonesian in high school. The use of film can be drama learning.Keyword: Psychology Literature, Abah’s Character, Keluarga Cemara Movie.
An Intelligent Mobile Application to Automate Food Health Recommendation Using Deep Learning

As the global health condition declines, people have started to be more conscious about their health.In addition, the development of deep learning, especially in the sector of image recognition, proliferates, provides more convenience for people to monitor their health.Even though some food recognition applications appear on the internet, most of them are inaccurate, and there aren't any researches that focus on the correlation between the accuracy of the model and attribute of the model.In addition, it is still inconvenient for people to gather information about how the food they eat everyday affects their health.Hence, in this project, the advanced development of deep learning was utilized for making an app which could be used to recognize a picture of the food taken by a phone and to display the food's effect on a person's certain health conditions.This project, or the application, has two main components: a model that can recognize the actual food through the camera of the phone and a database that stores the effects of the foods toward different kinds of health problems.After taking the photo, the application will display the effect of the foods to certain health problems that the user wants to see.The experiment part of this project was inclined more on the optimization of the image recognition model.The result of this experiment indicated that more pictures in one category, less categories in total, and higher image resolution can improve the accuracy of the recognition model.This finding will be used on optimizing both the model and the application.
The Effect of Teakwondo and Combined Exercise for Long Periord on Body composition and Physical Fitness in Elementary Students

The purpose of this study was to investigate the effect of Taekwondo and Combined Exercise for long period on body composition and physical fitness in elementary students. Subject were 60elementary students in 3different group – 30 in TTG(Taekwondo Training group), 30 in CEG(Combined Exercise group) and 30 in CON(Control group). They performed Taekwondo training program & comboined exercise, with 50min/day, 5day/wk. It was IBM SPSS window package program ver.24 for data analysis. As a result, Body composition was significant different between the group CON and TTG, CEG of height(p<.001) and weight(p<.05). The physical fitness was significantly different between the group CON and TTG of strength(p<.001) and muscular endurance(p<.01), and CON and CEG of strength(p<.001), agility(p<.05) and balance(p<.05). In conclusion, the long period of combined exercise had a positive effect on elementary students’ body composition and physical fitness.
Genres, Parsers, and BERT: The Interaction Between Parsers and BERT Models in Cross-Genre Constituency Parsing in English and Swedish

Genre and domain are often used interchangeably, but are two different properties of a text. Successful parser adaptation requires both cross-domain and cross-genre sensitivity (Rehbein and Bildhauer, 2017). While the impact domain differences have on parser performance degradation is more easily measurable in respect to lexical differences, impact of genre differences can be more nuanced. With the predominance of pre-trained language models (LMs; e.g. BERT (Devlin et al., 2019)), there are now additional complexities in developing cross-genre sensitive models due to the infusion of linguistic characteristics derived from, usually, a third genre. We perform a systematic set of experiments using two neural constituency parsers to examine how different parsers behave in combination with different BERT models with varying source and target genres in English and Swedish. We find that there is extensive difficulty in predicting the best source due to the complex interactions between genres, parsers, and LMs. Additionally, the influence of the data used to derive the underlying BERT model heavily influences how best to create more robust and effective cross-genre parsing models.
Mobile Learning Driving the Development of Higher Education Through a New Vision of Teaching Methods Thanks to Educational Technology

Mobile learning has become one of the most influential aspects in the field of educational technology. Besides, it aims to develop and optimize education as the core requirement for human beings. Meanwhile, this research is involved within the aforementioned target which offers a new vision on teaching methods. For this reason, a statistical study of data analyzed by SPSS software will be described. Our study aims to identify the importance of mobile application, not only, as a driving force in higher education development, but also as an adequate environment created to produce skills and appropriate qualifications able to take charge of our nation's development. For this purpose, this study is based on two stages. The first stage provides the study of the attitudes of learners towards mobile learning. The second one, will be dedicated to the implementation and the design of a mobile application according to the expectations of learners. The results confirm that an efficient learning environment should be designed following the perception and the needs of the learners.
The IDC System for Sentiment Classification and Sarcasm Detection in Arabic

Sentiment classification and sarcasm detection attract a lot of attention by the NLP research community. However, solving these two problems in Arabic and on the basis of social network data (i.e., Twitter) is still of lower interest. In this paper we present designated solutions for sentiment classification and sarcasm detection tasks that were introduced as part of a shared task by Abu Farha et al. (2021). We adjust the existing state-of-the-art transformer pretrained models for our needs. In addition, we use a variety of machine-learning techniques such as down-sampling, augmentation, bagging, and usage of meta-features to improve the models performance. We achieve an F1-score of 0.75 over the sentiment classification problem where the F1-score is calculated over the positive and negative classes (the neutral class is not taken into account). We achieve an F1-score of 0.66 over the sarcasm detection problem where the F1-score is calculated over the sarcastic class only. In both cases, the above reported results are evaluated over the ArSarcasm-v2–an extended dataset of the ArSarcasm (Farha and Magdy, 2020) that was introduced as part of the shared task. This reflects an improvement to the state-of-the-art results in both tasks.
Quantum computer-aided design: digital quantum simulation of quantum processors

With the increasing size of quantum processors, sub-modules that constitute the processor hardware will become too large to accurately simulate on a classical computer. Therefore, one would soon have to fabricate and test each new design primitive and parameter choice in time-consuming coordination between design, fabrication, and experimental validation. Here we show how one can design and test the performance of next-generation quantum hardware by using existing quantum computers. Focusing on superconducting transmon processors as a prominent hardware platform, we compute the static and dynamic properties of individual and coupled transmons. We show how the energy spectra of transmons can be obtained by variational hybrid quantum-classical algorithms that are well-suited for near-term noisy quantum computers. In addition, single- and two-qubit gate simulations are demonstrated via Suzuki-Trotter decomposition. Our methods pave a new way towards designing candidate quantum processors when the demands of calculating sub-module properties exceed the capabilities of classical computing resources.
Weighted-Attribute Triplet Hashing for Large-Scale Similar Judicial Case Matching

Similar judicial case matching aims to enable an accurate selection of a judicial document that is most similar to the target document from multiple candidates. The core of similar judicial case matching is to calculate the similarity between two fact case documents. Owing to similar judicial case matching techniques, legal professionals can promptly find and judge similar cases in a candidate set. These techniques can also benefit the development of judicial systems. However, the document of judicial cases not only is long in length but also has a certain degree of structural complexity. Meanwhile, a variety of judicial cases are also increasing rapidly; thus, it is difficult to find the document most similar to the target document in a large corpus. In this study, we present a novel similar judicial case matching model, which obtains the weight of judicial feature attributes based on hash learning and realizes fast similar matching by using a binary code. The proposed model extracts the judicial feature attributes vector using the bidirectional encoder representations from transformers (BERT) model and subsequently obtains the weighted judicial feature attributes through learning the hash function. We further impose triplet constraints to ensure that the similarity of judicial case data is well preserved when projected into the Hamming space. Comprehensive experimental results on public datasets show that the proposed method is superior in the task of similar judicial case matching and is suitable for large-scale similar judicial case matching.
THE FORMATION OF HUMANE RELATIONS BETWEEN TEACHERS AND STUDENTS – THE GUARANTEE OF SUCCESSFUL STUDYING

The article deals with the problem of the formation of humane relations between teachers and students. It is highlighted that the only effective way to create the atmosphere of trust and positive cooperation is the cultivation of humane relations inside the groups. These relations are established in terms of a dialogue, partnership, respect, when the participants act like the developers of humane values.
PRACTICAL METHODOLOGY OF PRIMARY SCHOOL STUDENTS THROUGH PRACTICAL METHODS

Scientific novelty of the research:developed a system of lessons based on practical methods, using observations and experiments in the lessons of the world around us and science emphasis is placed on the professional knowledge and techniques of the teacher in the use of practical methods in shaping the thinking of primary school students. The advantages and effectiveness of the formation of students' thinking on the basis of practical methods were confirmed by experiments.The theoretical significance of the research is: extended demonstrations of pedagogical theory, taking into account the possibilities of formation and development of observation and experience in primary school students; the theoretical knowledge of pedagogy about a set of symbolic tools is supplemented by establishing an interrelationship between principles, tasks, the logic of technological action, and methodological support.The practical significance of the research is that a methodology for educational work in the natural sciences has been developed on the basis of modern tasks in the education of the world around us. Experimental research ensures the formation of nature conservation based on the integration of students into socially useful work.Scientific novelty of the research:Based on practical methods, a system of lessons was developed using observations and experiments in the lessons of the world around us and science.Emphasis is placed on the professional knowledge and techniques of the teacher in the use of practical methods in shaping the thinking of primary school students- The advantages and effectiveness of the formation of students' thinking on the basis of practical methods were confirmed by experiments.
A study on majority-voting classifiers with guarantees on the probability of error

The Guaranteed Error Machine (GEM) is a classification algorithm that allows the user to set a-priori (i.e., before data are observed) an upper bound on the probability of error. Due to its strong statistical guarantees, GEM is of particular interest for safety critical applications in control engineering. Empirical studies have suggested that a pool of GEM classifiers can be combined in a majority voting scheme to boost the individual performances. In this paper, we investigate the possibility of keeping the probability of error under control in the absence of extra validation or test sets. In particular, we consider situations where the classifiers in the pool may have different guarantees on the probability of error, for which we propose a data-dependent weighted majority voting scheme. The preliminary results presented in this paper are very general and apply in principle to any weighted majority voting scheme involving individual classifiers that come with statistical guarantees, in the spirit of Probably Approximately Correct (PAC) learning.
Model-based Filtering Systems using a Latent-factor Technique

The main impetus for the advancement of recommender system innovation is the increased significance of the web in the field of electronics and business exchanges. A recommender system that is utilized in business applications is a subgroup of data-separating systems that try to anticipate the inclination or rating a client would provide for a good service. From e-business to online promotion, recommender systems are today unavoidable in our everyday online excursions. Recommender systems have become increasingly prevalent in our lives, with the ascent of websites such as YouTube, Amazon, and Netflix A common system to give input is as appraisals in which a particular assessment framework (we can take a rating systems such as a 5-star type of rating to know the clients' satisfaction) is used where clients select numerical qualities from which they indicate their preferences for different things with just one mouse-click. The fundamental thought of the recommender system is to use these different wellsprings of items to induce client intrigues. The people to whom the suggestions are given alluded to as the users and the things which are being suggested additionally alluded to as items. On the bases of past collaboration among the users and products and their past intrigues and preferences, suggestion examinations or recommendations can be founded. These are frequently acceptable pointers of future decisions.
Human Resource Portfolio Management System with Decision Support System

Human Resource is considered the best asset in an organization, especially in an educational institution. Education service provided by an organization is dependent on the quality performance and skills of its faculty members. The data in the human resources department are vital for human resource development, hence they must be organized, processed, analyzed, managed, and disseminated effectively to improve training development and productivity. This study aimed to deploy the Portfolio Management System with the Decision Support System support human resource management. The descriptive method was used to assess the present conditions and problems of the human resource processes. The Agile software development model was adapted to the development of the system. The findings revealed that the developed system is highly compliant with ISO 25010:2015 system standards.
Reckless fly tipping could have led to serious accident

Illegal fly tipping could have caused a serious accident on a busy road in East Kilbride this week.
Research on Multi-target Tracking and Positioning Method in Substation Scene

Nowadays, most algorithms based on background subtraction lack the robustness to handle multiple objects under specific conditions (such as severe occlusion in intelligent monitoring system). In this paper, a multi-target tracking and positioning method in substation scene is proposed. Firstly, the personnel are tracked to obtain the boundary box. Then, the Mahalanobis distance and cosine distance of the personnel in multiple frames are calculated. At the same time, combined with the appearance information to track the personnel in occlusion environment. Finally, the perspective transformation is used to locate the target personnel. Experiments in the smart substation confirm that this method can track and localize multiple personnel under occlusion effectively and reliably.