Reviewerly/exHarmony huggingface dataset:
General Python Programming

Although this chapter is called “General Python,” if you expected a generic and detailed rundown on “how to program in Python,” then you may be sorely disappointed. Years ago, information was sparse and learning something often meant searching for multiple books or people who could explain the same thing in lots of different ways, one of which would hopefully make sense. These days, where we are practically drowning in information overload, it is very much the opposite case, that is, sometimes it can be easier to filter everything down to only the essential information we need. More specifically, in this chapter the “General” part of the title refers more to using Python on a computer that is running an operating system (OS) than on a small microcontroller board that only runs a small blob of firmware.
Less is Better: Constructing Legal Question Answering System by Weighing Longest Common Subsequence of Disjunctive Union Text

This article is prepared for submission to Competition on Legal Information Extraction/Entailment (COLIEE 2022), an international competitive event organized to focus on information processing and retrieval. The proposed method tackles on how to construct an answering system capable of responding Yes/No legal questions, ultimately recognizing entailment between legal queries from past Japanese bar exams and relevant articles of Japan Civil Code (both in Japanese). We first attempted to extract disjunctive union text from each training query and relevant article(s) with corresponding ‘Y/N’ answers as their labels, eventually forming our reference database (training set). Then the same process was repeated on a sample of different queries and relevant articles yet without a ‘Y/N’ label as the input (testing set). Finally, when constructing our model, the similarity ratio between the test disjunctive union and the training disjunctive union by longest common subsequence was calculated as its basis. As a result, this model achieved an accuracy of 0.6055 in Task 4 (rank 3rd as a team, and 7th as a trial). This is an extremely simple and efficient model capable of satisfactory performance.
The situation of teaching understanding STEAM at the elementary level in Vietnam in the presentation

Many scientists have conducted research on the contents and methods of organizing STEAM education at all levels, including primary education. Besides studying the theoretical system, it is now necessary to conduct in-depth research on the current state of STEAM education application. The article focuses on surveying the current situation of applying STEAM education to the learning activities of primary school students in Vietnam. Research results reflect the actual capacity of teachers and students in implementing STEAM activities, pointing out the causes affecting the effectiveness of activities, and contributing to the creation of a STEAM educational culture in primary education. learn. On that basis, the author offers some solutions to overcome the limitations of applying STEAM education in the survey area.
Emotion Twenty Questions Dialog System for Lexical Emotional Intelligence

This paper presents a web-based demonstration of Emotion Twenty Questions (EMO20Q), a dialog game whose purpose is to study how people describe emotions. EMO20Q can also be used to develop artificially intelligent dialog agents that can play the game. In previous work, an EMO20Q agent used a sequential Bayesian machine learning model and could play the question-asking role. Newer transformer-based neural machine learning models have made it possible to develop an agent for the question-answering role. This demo paper describes the recent developments in the question-answering role of the EMO20Q game, which requires the agent to respond to more open-ended inputs. Furthermore, we also describe the design of the system, including the web-based front-end, agent architecture and programming, and updates to earlier software used. The demo system will be available to collect pilot data during the ACII conference and this data will be used to inform future experiments and system design. An example of the demo system can be seen in Fig. 1 and the live system can be accessed at emo20q.org.
PERFORMANCE ANALYSIS FOR INDIVIDUAL TASKS OR GROUPS OF TASKS OF REGIONAL DIAGNOSIS OF SUBJECT AND METHODOLOGICAL DIFFICULTIES OF PEDAGOGICAL WORKERS

The paper presents the results of diagnosing the subject and methodological difficulties of teachers in four subjects: the Russian language, mathematics, social science, and physics. The structure of diagnostic materials and content elements for assessing subject and methodological competencies are described. The general results of the diagnostic work in terms of content elements and activities are given. Correlations between the results of diagnosis of subject difficulties of teachers and the results achieved by students in the Unifi ed State Exam have been established.
FACILITATION AS A MEANS OF EFFECTIVE INTERACTION AMONG TEACHERS IN THE PROCESS OF STUDYING

Introduction. The relevance of considering the concept of facilitation in additional professional pedagogical education is due to the ongoing socio-cultural transformations in the world, and in society. The global challenges of the time dictate many paradigms and approaches to continuously improve the professional skills of teachers. These processes, in turn, entail changes in building the personality-oriented effective interaction of teachers on the advanced training courses. The study aims to examine the issues of awareness (reflection) by the teacher of their activity through the facilitating position of the teacher in the organization of training in additional professional education and productive interaction based on the principles of cooperation. Methods. The paper deals with the theoretical aspect that reveals the features of the phenomenon of facilitation, the qualities and skills inherent in the facilitator. The study relies on the methods of questioning, conversations, and the method of questions to one’s self (C. Rogers). Research results. The theoretical material on facilitation has been analyzed, a working definition of the “facilitation” concept has been given, the specific features of the facilitation as an effective means of interaction between teachers in the learning process have been identified. Conclusions. The introduction of facilitation in the process of training teachers helps to improve their professional skills, rethink their role in a constantly changing environment and build their interaction following the principles of cooperation (trust, empathy, mutual understanding and acceptance of others).
THEORETICAL FOUNDATIONS FOR BUILDING THE CORPORATE COMPETENCE IN MEMBERS OF PSYCHOLOGICAL, MEDICAL, AND PEDAGOGICAL COMMISSIONS

Introduction. The paper reveals the concept of “corporate competence” as the main component of professional competence and as part of the corporate culture of members of psychological, medical, and pedagogical commissions (hereinafter referred to as PMPC), who work in a single team of various specialists (psychologists, doctors, teachers) and carry out professional interaction. The study substantiates the structure of corporate competence and reveals the content of each component. The main theoretical approaches underlying the process of building corporate competence in the PMPC members are considered. Some results of the ascertaining stage of the experiment confirming the relevance of this area of research are presented. Materials and methods. The research relies on the analytical methods (study and analysis of psychological and pedagogical literature on the research problem, study of the work experience of the PMPC), diagnostic methods (observation of the examination procedure, questioning of PMPC members, analysis of examination documents for a child with special educational needs, conversations with members of psychological, medical, and pedagogical commissions, and parents), and statistical methods (quantitative and qualitative analysis of the obtained results, and data processing). Research results. The analysis of the special psychological and pedagogical literature on the research problem made it possible to formulate the concept of “corporate competence.” The identified theoretical foundations allowed substantiating the structure and components of corporate competence as the main constituent part of the professional competence of PMPC members. The results of a survey of various specialists, members of the PMPC, made it possible to identify the levels of corporate competence and outline further ways to improve it, as well as to develop a methodology for building the corporate competence with the aid of active methods and forms of work with specialists. Conclusion. In order to avoid possible conflict situations in the course of interaction with various specialists, or when announcing the diagnosis to parents raising a child with special educational needs, it is necessary to scientifically substantiate and develop a methodology for building the corporate competence on the basis of active forms and methods of interaction aimed at improving the professional competence (with the corporate competence as its component) in the PMPC members. The corporate competence building process itself needs appropriate scientific and methodological support that contributes to the effective development of all components of corporate competence: motivational, cognitive, activity-based, communicative, value-ethical, and reflective, which will positively influence the final result of the complex work of PMPC specialists.
Illiteracy and its Impact on the Reality of Iraqi Youth between Heritage and Contemporary

Illiteracy has spread in the last years, although it was eliminated in the 1980s. The return of illiteracy brings ignorance, illness, backwardness and regression among nations. It has taken many types, mainly alphabetical, scientific and computer illiteracy. Hence, the increasing nature of illiteracy has attracted the attention of governments and societies alike. This may touch the reality of societies starting with their youth unless those, who are in charge, will find workable solutions for the existing problems. The results of the study revealed that there is a real disaster awaiting the next generation after years of stray, and ignorance of the people in charge who are too engaged in getting their privileges to care about this problem, and they are leaving the young people to face their dark and unknown fate. Therefore, we have to participate together to get rid of this issue, or rather the disaster that is going to strike our grieving people. Islam urged on learning and reading which was obvious in the very first verses that were revealed upon our prophet Mohammad (Peace be upon Him). To eliminate illiteracy, we have to take many steps and give more efforts to upgrading the reality of the youth in Iraq nowadays.
Federated Kalman Filter for Secure IoT-Based Device Monitoring Services

Device monitoring services have increased in popularity with the evolution of recent technology and the continuously increased number of Internet of Things (IoT) devices. Among the popular services are the ones that use device location information. However, these services run into privacy issues due to the nature of data collection and transmission. In this letter, we introduce a platform incorporating Federated Kalman Filter (FKF) with a federated learning approach and private blockchain technology for privacy preservation. We analyze the accuracy of the proposed design against a standard Kalman Filter (KF) implementation of localization based on the Received Signal Strength Indicator (RSSI). The experimental results reveal significant potential for improved data estimation for RSSI-based localization in device monitoring.
THE IMPLEMENTATION OF EXTENSIVE SPEAKING PROJECT AT STATE UNIVERSITY OF MAKASSAR

Even though the learning environment is still an online class, the implementation of the extensive speaking project is good and also in accordance with the actual method. In a semester, students work on two types of projects: group projects and individual projects. The lecturer allows students to choose their own topics, and students' project-related activities are conducted more outside of the classroom. Students' learning experiences in implementing large speaking projects were also reflected in numerous indicators in this study. These indicators include benefits such as strengthening students' public speaking skills and assisting them in being more critical thinkers, and also increased motivation and speaking fluency. Extensive speaking projects can contribute to developing students' abilities to be more creative, independent, collaborative, communicative, and technological. The project can also promote vocabulary knowledge, practice pronunciation, acquaint students with conveying ideas by extending the topic, and build students' self-confidence in the area of oral communication. As a result, they will be able to speak effectively and openly. The other indicator is the difficulties that students face in conducting extensive speaking projects, such as online learning, which renders the method less than optimally implemented.
Live Pattern Matching with Typed Holes

Several modern programming systems, including GHC Haskell, Agda, Idris, and Hazel, support typed holes . Assigning static and, to varying degree, dynamic meaning to programs with holes allows program editors and other tools to offer meaningful feedback and assistance throughout editing, i.e. in a live manner. Prior work, however, has considered only holes appearing in expressions and types. This paper considers, from type theoretic and logical first principles, the problem of typed pattern holes. We confront two main difficulties, (1) statically reasoning about exhaustiveness and irredundancy when patterns are not fully known, and (2) live evaluation of expressions containing both pattern and expression holes. In both cases, this requires reasoning conservatively about all possible hole fillings. We develop a typed lambda calculus, Peanut, where reasoning about exhaustiveness and redundancy is mapped to the problem of deriving first order entailments. We equip Peanut with an operational semantics in the style of Hazelnut Live that allows us to evaluate around holes in both expressions and patterns. We mechanize the metatheory of Peanut in Agda and formalize a procedure capable of deciding the necessary entailments. Finally, we scale up and implement these mechanisms within Hazel, a programming environment for a dialect of Elm that automatically inserts holes during editing to provide static and dynamic feedback to the programmer in a maximally live manner, i.e. for every possible editor state. Hazel is the first maximally live environment for a general-purpose functional language.
Transmission line monitoring system based on a space-space integration network and BeiDou short message

This study aimed to use the combined advantages of Space–Air–Ground Integrated Network (SAGIN) and BeiDou short-message technology to realize information interaction between various units within the system perception layer, considering the difficulties of poor communication in remote areas, limited coverage of existing ground networks, and the inability to send monitoring information of high-voltage transmission lines in a timely manner. The sensing terminal was used for terminal analysis and calculation, and the key exception and alarm information were edited into short messages to compensate for the disadvantages of BeiDou short-message communication technology. External communication used the BeiDou short-message communication technology. This method could effectively solve the transmission problem of key data of online monitoring systems in remote areas.
Learning BIPA through folktales: Needs analysis of foreign students in Indonesia

The existence of the Indonesian language is currently increasing. This is evident in the number of foreigners who have shown interest in learning the Indonesian language for foreigners called BIPA. The purpose of this study is to know the need for foreign learners in learning the Indonesian language using folktales. This study used a qualitative approach. Data were obtained through observation and deep interviews conducted with international students. The results of the study showed that foreign students are interested in learning through folktales. They also hope that the BIPA learning will use the Indonesian language dominantly, variations of methods and resources, innovative media using various folktales, and meet many new classmates who come from different countries. Some students also assume that the Indonesian language is unique and easy to learn with folktales. This study implies that BIPA teachers could use folktales as material content for BIPA learners.
The Future Prospects of Importance of VR's Impact on Education

With the gradual progress of science and technology, virtual reality technology has matured and has been applied to many fields of people's lives. VR education has become a research hotspot, but relevant review articles are not comprehensive. This paper mainly researches the development prospects of VR game education, ideological and political education and art education. In game education, VR technology provides more gameplay so that students' interest can be attracted, which can help student to focus their attention. In ideological and political education, VR makes traditional boring lectures more vibrant and can better help students understand abstract concepts. Finally, in art education, different from traditional art teaching, VR technology can help students feel the artistic atmosphere immensely. At the end of the article, we made a summary and an outlook of VR Technology. Overall, virtual reality technology provides a more efficient method of learning, and it is hoped that the technology will become popular in the near future.
Application of Blockchain and Fully Homomorphic Encryption in Online Questionnaires

An online questionnaire is a simple and efficient method of acquiring diverse data for surveys. However, a proportion of respondents have strong concerns about whether questionnaires in this form will leak their privacy, which causes their unwillingness to fill out the questionnaires. Blockchain is well known for decentralization, traceability, and transparency and is now widely used in all kinds of platforms. Fully homomorphic encryption is another popular technique that ensures the safety of privacy, it helps to compute and use encrypted data without decrypting it. To solve privacy-preservation problems and enhance online data sharing, this paper dedicates to demonstrating how the merits of Blockchain and Fully Homomorphic Encryption (FHE) can be utilized to realize a secure, reliable, and decentralized online-questionnaire platform that guarantees the authenticity of data and privacy security for clients. This paper also proves that the combination of blockchain and FHE can successfully meet the expectation of an ideal online questionnaire platform.
Review of Breast Cancer Detection Method

The fierceness of breast cancer is obvious for the patients and the field of medical studies for its malignant destruction in the human body. The failure in diagnosis may put patients in suffering from high financial pressure and may cause the patients’ physical health to deteriorate. The key in this research of contrasting different kinds of algorithms and varied types of classifications is to support physicians to make a better judgment to prevent misdiagnosis. The research introduced many aspects of data on breast cancer detection to make the data inputs of algorithms able to satisfy doctors’ needs. Moreover, the varied kinds of features will specify and confirm the presence of breast cancer tumours instead of treating them as a part of the benign tissues. With the information above, the research found a difference in accuracy between the classification and tried to make a comparison to conclude that most satisfy and support the actual use of these data to physicians, who may see the symptoms with misunderstanding. Thus, Random Forest was qualified to be evaluated as the most applicable algorithm of its excellence in processing higher dimensional, which is dynamic, data.
System design of an intelligent sweeper robot

With the advancement of technology and science, various intelligence household appliances are becoming increasingly popular. This paper proposes a household sweeping robot with the ability to climb stairs. The robot adopts ATmega328p as controller, two gear motors and a DC motor to drive the robot to walk and vacuum. Using rational algorithms in WEBOTS, the robot is deemed able to effectively avoid obstacles and perform path planning, demonstrating its ability to follow a path to bypass obstacles and climb stairs. Such design proposes a new intelligent path panning solution for floor sweeping robots which enables high coverage and low repetition of cleaning tasks by creating workflow systems and algorithms. As opposed to traditional sweeping robots, the robot can climb stairs and perform cleaning tasks more efficiently and is less expensive. Additionally, the design enables the robot to work in more complex environment such as multi-floor situations, as well as to perform self-cleaning tasks.
Enhanced Knowledge Distillation via Parameter Re-definition

Due to the high scalability of deep learning and its ability to manipulate large-scale hyperparameters, it has achieved great success in many fields. However, encoding such a large-scale data set is ultimately at the cost of expensive computing power and storage resources, which has also prompted model compression and model acceleration to become a hot topic in recent years. Model pruning, weight decomposition, reduction of model accuracy, weight sharing, etc. are all currently popular solutions, but they have a common problem that they cannot ensure that the compressed model is as good as the original model, and they are all based on the original model. to modify. This paper draws on the method based on knowledge distillation, introduces the concept of Renyi-divergence popularized by KL-divergence, and proposes a loss function that has been based on Renyi-divergence distance metric, and uses the rigor of the student network as a hyperparameter. A student network model that minimizes the loss function under rigor. We validated our results on ResNets using the cifar-10, cifar-100, and imagenet datasets. It improved the basic model by 0.6%, and the absolute gain of Top-l accuracy exceeded 1.6%.
Process optimization of C4 olefins by ethanol coupling based on BP neural network and genetic algorithm

C4 olefins are widely used in chemical production, and the preparation of C4 olefins by ethanol coupling is one of the important methods to obtain this raw material, so it is important to study the process conditions for the preparation of C4 olefins. In this paper, we analyze and discuss the correlation between catalyst combination and temperature on ethanol conversion and C4 olefin selectivity based on the experimental data collected from laboratory preparation, and explore the reasonable catalyst combination scheme and temperature selection in order to achieve the optimization of preparation efficiency. Further investigation of the preparation process to obtain the optimum yield is also carried out based on the error of the validation results.