Reviewerly/exHarmony huggingface dataset:
A Retrieval Method for Spatiotemporal Information of Chorography Based on Deep Learning

Background: On the retrieval of spatiotemporal information of chorography (STIC), one of the most important topics is how to quickly pinpoint the desired STIC text out of the massive chorography databases. Domestically, there are not diverse means to retrieve the spatiotemporal information from chorography database. Emerging techniques like data mining, artificial intelligence (AI), and natural language processing (NLP) should be introduced into the informatization of chorography. Objective: This study intends to devise an information retrieval method for STIC based on deep learning, and fully demonstrates its feasibility. Methods: Firstly, the authors explained the flow for retrieving and analyzing the data features of STIC texts, and established a deep hash model for STIC texts. Next, the data matching flow was defined for STIC texts, the learned hash code was adopted as the memory address of STIC texts, and the hash Hamming distance of the text information was computed through linear search, thereby completing the task of STIC retrieval. Results: Our STIC text feature extraction model learned better STIC text features than the contrastive method. It learned many hash features, and differentiated between different information well, when there were many hash bits. Conclusion: In addition, our hash algorithm achieved the best retrieval accuracy among various methods. Finally, the hash features acquired by our algorithm can accelerate the retrieval speed of STIC texts. These experimental results demonstrate the effectiveness of the proposed model and algorithm.
Keyframe Extraction for Low-Motion Video Summarization Using K-Means Clustering

The rate of increase in multimedia data required the need for an improved bandwidth utilization and storage capacity. However, low-motion videos come with a large number of feature-related frames due to its static background. These redundant frames result to difficulty in terms of video streaming, retrieval, and transmission. In other to improve the user experience, video summarization technologies were proposed. These techniques were presented to select representative frames from a full-length video and remove the duplicated ones. Though, an improvement was recorded in the keyframe extraction process. However, a large number of redundant frames were observed to be extracted as keyframes. Therefore, this study presents an improved keyframe extraction scheme for low-motion video summarization. The proposed scheme utilizes a k-means clustering approach to group the feature-related frames within a given video data into number of clusters. Furthermore, a representative frame from each cluster was extracted as keyframe. The results obtained shown that the proposed scheme outperforms the existing scheme in terms of compression ratio, precision and recall rates with a value of 26.62%, 13.78%, and 6.63% respectively
Teaching Source Types

This chapter discusses source types commonly used by students and includes tips for helping students annotate these sources. This is suitable for instructors, librarians, writing center consultants, and academic coaches. The chapter includes discussion of books and book chapters; academic journals; magazines; newspapers; encyclopedias; websites; blogs and podcasts; government reports; images and art; dissertations and theses; videogames; and literary works. For each source type, the chapter identifies common problems students have in working with these sources (and offers solutions to those problems as well).
How Can Government Protect Its Online Consumers Against Fraud?

Abstract: India's developing e-commerce ecosystem integrates markets, transport providers, and government agencies, eliminates distributors and intermediaries, and connects directly with consumers through e-commerce platforms. With so many choices online, Criminals are always thinking of ways to commit fraud or other crimes. Fraudsters, pretending to be legitimate sellers, often lose the trust of their customers. The digital emptiness of this digital age is one of the biggest concerns when online consumers are easily swindled and unjustly imprisoned. As a responsible person, everyone should do some research before making a purchase, and keep records to ensure that this can hold the seller to his or her promises. There are many ways in which the Government can help its people to avoid and avoid such fraud.
Responsive pedagogy for multi-lingual classroom

In this paper I explore the concept of diversity in the classroom. Diversity means difference in terms of race, language, age, faith, culture, ethnicity, and in other aspects. Nepal is a multicultural and multi lingual country. Where more than 123 languages are spoken. Such as Nepali, Maithili, Bhojpuri, Tharu, Newari, Abadhi etc National language is Nepali in Nepal. Social structure is also different from society to society. There are racially different people. The main are Bramhin, Chhettri, Rai, Gurung,Tamang, Magar, Tharu, Newar and others who caste live here. There are mainly ten types of religious categories reported in the census 2011 A. D. The large number of people are followed by Hindu. Whereas Hinduism is followed by (81.3%), Buddhism (9%), Islam (4.4%) and so on. Nepal has been diversified in terms of ethnicity, religion, traditions and culture. People respect the national feeling of unity in diversity. Nepal is multi-cultural, multi-ethnic and multi-lingual society so there are diversity in the classroom. In this paper I explore the diversity in the classroom and students' achievement. In this paper I have introduced multicultural education, cultural responsive pedagogy and student achievement. The conclusion of this study is responsive pedagogy address and support to the student's achievement in diverse classroom.
Digital Conflicts in Production and Planning

The impact of rapidly developing technologies on digitalization of production and planning has affected all sectors in a short period. This impact has led to both positive and negative outcomes. While it is helping the decision-makers to make better and more productive choices, it also can create a cluster of information and data that can put an undue burden on processes. Today, we call this Industry 4.0, which is defined as the use of digital technologies, based on data processing, the end-to-end connection of value chains, and ensuring data fluidity. Industry 4.0 consists of technologies such as cyber-physical systems, internet of things, cloud computing, big data and analysis, autonomous vehicles, and augmented reality. With the digitalization of the entire production and planning processes, data-based applications are made; thus it is important to protect data in this context, pointing to the critical importance of cybersecurity. Companies are constantly working on taking the necessary cybersecurity measures to prevent exposure to any cyberattacks. One of the biggest steps toward the development of production and planning is undoubtedly the integration and adaptation of blockchain technology. The use of blockchain technologies has been a major breakthrough for the sector in order to effectively meet customer needs, ensure information security, reduce costs, and achieve rapid growth. With digital transformation, production and planning must comply with the principle of transparency. In this context, integrating blockchain technologies into the production and planning ecology for data security will provide companies with a serious competitive advantage.
Tertiary Students’ Strategies and Difficulties in Answering the TOEFL Test

The recent study investigates tertiary students' perspectives on the implementation of the TOEFL benchmark score as a graduation requirement. There were 100 students chosen randomly in this study. Their perspectives were gathered through a questionnaire and an interview to know the students’ strategies and difficulties in answering the TOEFL test. The results showed that most students agree with the TOEFL benchmark as a graduation requirement however they face obstacles in answering the test. From the interview, the result showed that they had difficulties in answering the listening and grammar sections. This resulted in unfamiliarity with foreign sounds and a lack of practice. Besides, students felt that the minimum TOEFL score for the graduation requirement was beyond their ability since most students were not introduced to TOEFL from the beginning of their study. Most students used their strategies in learning TOEFL through searching some materials on the internet as well as from the module they got from English courses. Such strategies help them to increase their ability to improve their TOEFL score.
African Media Ownership in the Digital Age

Authoritative and accurate accounts of media and communication ownership are rare. Media business are sometimes unwilling to publicly share real details of their shareholding for many reasons, including fear of misuse of the information or liability including hyped tax bills, weaponised against them by unpopular governments. Media owners’ influence on journalism coverage is not just in Africa as was shown by the case of News of the World, a British weekly national tabloid newspaper that published every Sunday from 1843 to 2011. Influence and control of media are often exerted by both public and commercial actors, with contentious dimensions between those who want to control the media and those who control them. Big technology giants such as Facebook and Google are influencing the direction and scope of media ownerships across the world.
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering

Recommender systems are information retrieval methods that predict user preferences to personalize services. These systems use the feedback and the ratings provided by users to model the behavior of users and to generate recommendations. Typically, the ratings are quite sparse, i.e. only a small fraction of items are rated by each user. To address this issue and enhance the performance, active learning strategies can be used to select the most informative items to be rated. This rating elicitation procedure enriches the interaction matrix with informative ratings and therefore assists the recommender system to better model the preferences of the users. In this paper, we evaluate various non-personalized and personalized rating elicitation strategies. We also propose a hybrid strategy that adaptively combines a non-personalized and a personalized strategy. Furthermore, we propose a new procedure to obtain free ratings based on the side information of the items. We evaluate these ideas on the MovieLens dataset. The experiments reveal that our proposed hybrid strategy outperforms the strategies from the literature. We also propose the extent to which free ratings are obtained, improving further the performance and also the user experience.
Implementation and Analysis of Fuzzy Mamdani Logic Algorithm from Digital Platform and Electronic Resource

The fuzzy logic Mamdani model is a fuzzy reasoning system that can be used to calculate values based on various criteria for evaluating teacher performance. In this study, three fuzzy sets were used to determine the level of success of teachers in teaching through online media in one of the vocational schools in North Sumatra: the teacher set, the value set, and the success rate set. The teacher set is divided into three criteria: bad, sufficient, and good teachers. The set of values is also divided into three categories: bad, sufficient, and good. Furthermore, the set of success rates is divided into three categories: low, medium, and high success rates. The goal of this study is to use the mamdani fuzzy logic method to assess the level of success in teaching teachers using online media. According to the study's findings, the mamdani method could be used in this situation.
Offline Handwritten English Alphabet Recognition (OHEAR)

In most pattern recognition models, the accuracy of the recognition plays a major role in the efficiency of those models. The feature extraction phase aims to sum up most of the details and findings contained in those patterns to be informational and non-redundant in a way that is sufficient to fen to the used classifier of that model and facilitate the subsequent learning process. This work proposes a highly accurate offline handwritten English alphabet (OHEAR) model for recognizing through efficiently extracting the most informative features from constructed self-collected dataset through three main phases: Pre-processing, features extraction, and classification. The features extraction is the core phase of OHEAR based on combining both statistical and structural features of the certain alphabet sample image. In fact, four feature extraction portions, this work has utilized, are tracking adjoin pixels, chain of redundancy, scaled-occupancy-rate chain, and density feature. The feature set of 27 elements is constructed to be provided to the multi-class support vector machine (MSVM) for the process of classification. The OHEAR resultant revealed an accuracy recognition of 98.4%.
Why do you need to read fiction? The role of transportation through fiction reading in improving perspective taking

Late adolescents are reported to have poor perspective-taking. This study aimed to determine whether an improvement to perspective-taking is achieved after participants read fiction, and whether a transportation process is involved in it. The participants in this study were late adolescents (17-22 years old) with poor perspective-taking and certain degrees of experience and interest in reading fiction (N = 8). This study used a pretest-posttest-follow-up design. The Friedman test results show that there is a significant difference in the perspective-taking scores of participants before and after receiving manipulation in the form of supply of fiction reading media (p = 0.002, ̄x pretest = 11, ̄x posttest = 37.25, ̄x follow-up = 37.1). The simple regression analysis test results show that the improved perspective-taking is not influenced by the occurrence of transportation in participants when reading fiction (p = 0.072, r = 0.175, β = 0.473). The participants showed improved perspective-taking right after the manipulation treatment was given, but slightly declined in the subsequent week.
CenterNet Plus: Multiscale Prediction with FPN for CenterNet

Although the CenterNet object detection method can be used to achieve high accuracy, it cannot be used to detect objects with overlapping or almost overlapping centers. However, a good trade-off between detection speed and accuracy cannot be achieved when utilizing this method. We improved a series of backbones using CenterNet, output the fusion of multiple feature maps in backbone, and used the feature pyramid network (FPN) mechanism for multiscale object detection. Additionally, we improved the head of the detector and considered adding intersection over union (IoU) branches. Finally, the loss function was improved to improve detection accuracy. Based on the above research, the CenterNet Plus object detection method is proposed in this paper. Through experiments on the COCO dataset, it can be seen that the use of a multiscale FPN mechanism not only solves the problem of center point overlap but also helps improve the accuracy of detection. CenterNet Plus can be used to greatly improve the detection accuracy on the premise of having a higher detection speed.
Damned Lies and Statistics

Abstract This chapter discusses the following questions: • Why is it necessary to update the Maxwell-Boltzmann distribution of particle energies? • How does quantum mechanics combined with thermodynamics lead to the Fermi-Dirac and the Bose-Einstein distributions? • What are the properties of the Fermi-Dirac and Bose-Einstein statistics that differ significantly from the classical Maxwell-Boltzmann statistics, and under what conditions are they the same? • When and how should we apply the quantum statistics in semiconductor materials and devices?
Fermi’s Golden Rule

Abstract This chapter discusses the following questions: • How are time-dependent quantum processes modeled? • Under what conditions is Fermi’s golden rule valid? • How can we use the golden rule to understand electronic and photonic processes in semiconductors? • How do time-dependent processes determine the usefulness of qubits?
Performance Evaluation of Three Machine Learning Models for Clinical Diagnosis of Malaria fever

No Abstract.
Comparison of Apriori and Top-Down Mining Algorithms on Co-Authors' Relationship in DBLP Online Bibliography

No Abstract.
SYNTACTIC TRANSLATION STRATEGIES IN ENGLISH-INDONESIAN ASEAN CHARTER

This research was carried out to analyze the syntactic translation strategies applied in English-Indonesian ASEAN Charter document. This research also aimed to find out which strategy is most often used and its possible reason. This research is based on the theory of syntactic strategies by Andrew Chesterman (2016, p. 91). The researcher used a qualitative method. The data used in this research is in the form of text on the ASEAN Charter document. This research showed that there are 8 syntactic strategies used in the English-Indonesian ASEAN Charter. Those are literal translation (33%), loan and calque (31%), transposition (8%), unit shift (14%), phrase structure change (8%), clause structure change (0,38%), level shift (1%), and scheme change (5%). Literal translation is the most widely applied in this research because this strategy is an appropriate strategy to translate a legal document.
The Effects of Flipped Learning Class Using Team-based Learning on Pre-service Early Childhood Teacher’s Achievement Motivation, Cooperative Self-efficacy, Cognitive Learning Competence, and Major Satisfaction

Objectives The purpose of this study is to find out the effects of flipped learning class using team-based learning in early childhood music education class on the achievement motivation, cooperative self-efficacy, cognitive learning competence, and major satisfaction of pre-service early childhood teachers. Methods For this, using SPSS 23.0, we divided the research variables into pre- and post- and distributed the questionnaire to 45 students who took early childhood music education among K University's early childhood education department located in Chungcheongbuk-do. We confirmed the statistical significance in the 95% confidence interval by analyzing with the Paired T-test, which is a method of comparing the paired pre- and post-average data for each study variable. Results These are the main findings. First, the descriptive statistics for each variable, which were achievement motivation, cooperative self-efficacy, cognitive learning competence, and major satisfaction was higher than 3 points and satisfied the normality. In addition, the difference in average scores of research variables before and after flipped learning classes using team-based learning was found to have improved from a minimum of .11 to a maximum of .53. Second, the effects of flipped learning class using team-based learning on achievement motivation was not found to be statistically significant, whereas the effects on cooperative self-efficacy, cognitive learning competence, and major satisfaction were statistically significant. Conclusions The results of this study confirmed the possibility of applying the innovative teaching method as a practical study through the major satisfaction as well as the competence required for pre-service early childhood teachers. It is also meaningful in that it is used as basic data to suggest a direction to competence-based education.&#x0D;
Experience of Flipped Learning in the University Counseling Interview Practice Course

Objectives The purpose of this study is to apply the flipped learning in the counseling practice course and to explore the students' counseling practice experience. Methods For this purpose, the course of ‘counseling process and practice’ opened in the second semester of 2020 at the department of social welfare at C university in Jeju island and courses were designed and operated using the flipped learning. For data collection, 47 students were asked to write a counseling practice experience report every after counseling practice experience and a review about the operation of the flipped learning at the end of the class. Colaizzi's phenomenological method was applied for analysis. Results As a result of the analysis, the counseling interview practice experience of university students applying the flipped learning method was found in three categories: ‘connectivity of on-off learning’, ‘improving counseling practice through learning transfer’, ‘expansion of self-reflection opportunities’. And 10 subcategories, 27 the central meaning was derived. The students experienced that watching a video in the dictionary was modeling for practicing counseling interview in -class, and it was helpful in the practice class because there was a connection to learning. In addition, a positive experience of expanding the opportunity for self-reflection on counseling was reported through practice experience report. Conclusions As a result of the study, the demonstration of the counseling video presented in advance of the class was helpful in the application of the practice in-class, and the flipped learning method was experienced as effective by improving the counseling interview competency and acquiring confidence. In addition, the practical experience report after classroom instruction promoted the development of counselors through self-reflection with reflective thinking. It was suggested that a structured curriculum should be operated to enable the operation of counseling practice courses using the flipped learning method in the future.&#x0D;
The Mediating Effect of Parent-Teacher Partnerships in the relationship between Director’s Coaching Leadership and Early Childhood Teacher’s Play Teaching Efficacy

Objectives The purpose of this study examine the mediating effect of parent-teacher partnership in the relationship between director’s coaching leadership and early childhood teacher’s play teaching efficacy. Methods For this, surveys were conducted on 224 early childhood teachers from kindergartens and day care centers. The collected data were analyzed descripive statistics, correlation analysis, and regression analysis by SPSS 26.0 and SPSS Process Macro 3.5 Model 4. Also, mediating effect was confirmed statistical significance by bootstrapping. Results The results were as following: First, there were significantly positive correlations among parent-teacher partnership, director’s coaching leadership and early childhood teacher’s play teaching efficacy. Second, director’s coaching leadership had a direct effect on early childhood teacher;s play teaching efficacy and an indirect effect was shown through parnet-teacher partnership. The indirect effect through parent-teacher partnership was confirmed statistical significance by bootstrapping. Conclusions Based on this study results, we discussed that the importance of paly teaching efficacy as well as director’s coaching leadership and parent-teacher partnership to improve the play teaching efficacy.&#x0D;