Reviewerly/exHarmony huggingface dataset:
The Effectiveness of Using a Cognitive Style-based Chatbot in Developing Science Concepts and Critical Thinking Skills among Preparatory School Pupils

The research investigated the effectiveness of using a cognitive style-based chatbot in developing science concepts and critical thinking skills among preparatory school pupils. To achieve the aim of the research, the researchers applied the two groups' quasi-experimental design and utilized three instruments as follows;1) Budner scale to measure the tolerance of ambiguity; 2) Science concepts achievement test developed by the researchers and implemented before and after applying a cognitive style-based chatbot; 3) The critical thinking skills test developed by the researchers to identify four critical thinking skills required for grade 8 level and implemented before and after applying a cognitive style-based chatbot. The participants were chosen randomly from eighth-graders (N=50) at HOIS (Hurghada Official International School), Red Sea Governorate, Egypt. The researchers divided participants into two experimental groups of 25 pupils (EGA) and (EGB) according to their cognitive style as tolerant or intolerant of ambiguity. Quantitative results showed the significant mean differences between the scores of participants at level (0.005 ≥) in the pre-post testing procedures in favor of the post-testing for both dependent variables (science concept and critical thinking skills). Results indicated the positive impact of utilizing a cognitive style-based chatbot in developing science concepts and critical thinking skills for preparatory school pupils. So, the researchers recommended employing chatbots in learning science for their high effectiveness in developing science concepts and critical thinking skills among preparatory school pupils in Egypt.
Image dehazing algorithm based on color correction and channel compensation prior

The dark channel prior is a statistical conclusion based on outdoor haze-free images and it is widely used in haze removal because of its effectiveness. However, it does not work well when dealing with images containing sky areas. The reason is values of R,G,B channels are very high in this region , i.e. the dark channel prior does not hold . Therefore, the transmission of this region is overestimated, resulting in serious halo artifacts and noise amplification in the recovered image. To solve this problem, an image dehazing algorithm based on the inverse channel compensation prior is proposed in this paper. According to observation and experimental verification, for haze-free images, when the pixels in the sky region of the image have higher values in a certain channel, their inverse channel values are lower even tend to be close to zero. Therefore, when finding the dark channel of the image, the inverse channel is considered for compensation so that the pixels in the failed sky region also satisfy the dark channel prior assumption. It is worth noting that the method based on the inverse channel compensation in this paper can obtain the accurate transmittance, and the sky region will not produce distortion and noise amplification even if the lower constraint on transmission is not set . In addition, a simple and effective color cast judgment and adaptive correction method is proposed based on the characteristics of atmospheric light , and adaptive color correction if necessary, which makes the method in this paper effective for the enhancement of sand dust images , extending the applicable scenarios of the algorithm.
A Representação de conteúdos textuais referente ao conceito de linguagem a partir de resumos do GT 01 do ENANCIB

Considering the inseparable relationship between the studies of information and language, it was verified which theories of language have been used as a contribution to the understanding and uses attributed to language, in the context of the Brazilian research in Information Science (IS) produced in GT1: Historical and Epistemological. Studies in Information Science, at ENANCIB, with the objective of presenting a panoramic description on the subject with the selection of specific works in Language for the application of a hermeneutic-dialectical analysis. A bibliographic survey was carried out in the BENANCIB database, using the term “Language” as a search strategy. Fromthe hermeneutic-dialectical analysis, it was identified that the theoretical contributions of Language, relatively predominant in epistemological research in IS, in theestablished contexto are: Philosophy of Pragmatic Language, by L. Wittgenstein,and Theory of Communicative Action, by J Habermas, considering the occurrence of a discontinuous communicative process around the theoretical framework in question
Summarized attribute preferences have unique antecedents and consequences.

People have ideas about the attributes (i.e., traits or characteristics that vary along a dimension) that they like in others (e.g., "I like intelligence in a romantic partner"), and these ideas about liking are called summarized attribute preferences (Ledgerwood et al., 2018). But where do summarized preferences come from, and what do they predict? Across four studies, we examined how people form summarized attribute preferences and whether they predict situation selection. We showed participants a series of photographs of faces and assessed both their experienced liking for an attribute (or functional attribute preference) as well as their inference about how much they liked the attribute in the abstract (their summarized attribute preference). Our results suggest that summarized attribute preferences-despite being (weakly) grounded in functional attribute preferences-were affected by incidental aspects of the context in which people learn about them (i.e., the overall likeability of the pool of faces). Furthermore, we observed a double dissociation in the predictive validity of summarized and functional attribute preferences: Whereas summarized attribute preferences predicted situation selection at a distance (e.g., whether to join a new dating website based on a description of it), functional attribute preferences predicted situation selection with experience (e.g., whether to join a new dating website after sampling it). We discuss theoretical and methodological implications for the interdisciplinary science of human evaluation. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
Implications of Analysis on Korean Democracy for Political Education

In order to evaluate the democratic performance and qualitative maturity of Korean democracy, this study analyzed the cases that were at the center of controversy during the 000 government by methods that focused on sub-systems of the multi-dimensionality of democracy. For the case analysis, four sub-systems (Electoral Integrity, rule of law, vertical accountability, and horizontal accountability) were each assumed. As a result of the analysis, it can be said that democracy in Korea has developed significantly over the past 30 years, but during the recent 000 government, by confirming the degenerative phenomenon of democracy in all areas of the applied sub-systems, it did not reach beyond the consolidation of democracy to the deepening of the quality of actual democracy. The analysis showed the stagnation or decline of democratic performance during the time of the 000 government. The rule of law and the democratic mechanisms to check the president who privatized power did not work as intended. Contrary to the many advances made in inter-procedural democracy, it confirms that there are still many shortcomings in effective checks and monitoring of the powers wielded by the president.
Implementation Research Result About the Effect of Heavy Metal Cadmium on the Growth of Tiger Shrimp (Penaeus monodon) as Biology Learning Source For Environmental Pollution

Research results in the form of products and processes can be used as learning resources that can develop appropriate scientific abilities according to student needs. This study aims to analyze the results of research on the effect of heavy metal cadmium on the growth of tiger shrimp which is used as a source of learning biology. The research was conducted at the Department of Biology Education, FKIP Untirta and several state high schools in Banten Provice: SMAN 1 Anyer, SMAN 1 Cinangka, SMAN 4 Cilegon, and SMAN 5 Cilegon. The analysis process is carried out through stages: product identification and research processes, selection and modification of research results, as well as the application and development of research results as a source of biology learning contained in the Lesson Plan (RPP). The results of the study on the effect of heavy metal Cd on the growth of tiger prawns were in accordance with the sub-concept of environmental pollution contained in KD 3.11 and 4.11 in class X SMA. Environmental pollution that occurs can inhibit the growth of biota so that it can damage and disrupt the natural balance caused by contamination from heavy metal cadmium which is the subject of the learning process.
Application research of lightning potential prediction technology in transmission channel and urban distribution network

A lightning forecast method based on potential forecast is proposed to solve the problem that only radiosonde data and potential forecast can not accurately predict lightning prone areas. By collecting transmission channel, the history of urban distribution network lightning observation data, combined with the static mesoscale numerical model forecast products with technology and real-time altitude detection data analysis, through comparative analysis of grid real-time lightning observation after correction, finally get of the potential forecast more accurate than traditional lightning is 0 ~ 72 h potential forecast results. The research results realize the active defense of lightning damage in power grid, guarantee the safety of power grid and reduce the economic loss caused by power failure to users.
Lane line recognition for driverless vehicles based on Hough transform

Image processing is a key link in the process of automobile intelligence. Image pretreatment methods are studied, including gray processing, binarization and extraction of regions of interest. Three different methods of gray image are compared, and the maximum interclass variance method is used for binarization processing of images. When the image is too bright or too dark, the recognition is very inaccurate. Then the edge detection and straight line acquisition were studied to identify the lane lines, and the Canny edge detection was studied, including Gaussian filtering smoothing, Sobel operator, non-maximum suppression and double threshold edge extraction, and the Canny algorithm was improved and optimized to study the Hough transform. Hough transform is used to extract the straight lines to recognize the lane lines.
Automated guided vehicle path planning based on an improved grey wolf optimization algorithm

In the context of Industry 4.0, AGV trolleys are increasingly being used. An AGV path planning method based on the logistic-tent chaotic grey wolf optimization algorithm is proposed for automatic guided vehicles (AGVs) with reduced population diversity, a tendency to fall into local optimality as well as poor solution accuracy and imbalance between global and local planning during path planning. Adding Logistic-tent chaotic mapping can initialize the initial population diversity of gray wolf individual locations. And changing the convergence factor control strategy of gray wolf optimization algorithm can improve global path optimality and speed up convergence. In this paper simulation results show that the logistic-tent chaotic grey wolf optimization algorithm has better solution accuracy and global search capability, and can quickly plan a better feasible path.
A Study on the Activation of Labor Human Rights Education for Out-of-School Youth

The purpose of this study is to specifically explore ways to revitalize labor human rights education for out-of-school youths by examining the status of labor human rights education for out-of-school youths and examining the necessity of labor human rights education. To this end, this study used the literature research method to examine the current status of out-of-school youths and the legal basis for out-of-school youth labor human rights education, and based on this examination, it further explored programs as well as teaching and learning practices. The results of the study are as follows. Currently, the Out-of-School Youth Support Center is the core of the support system for out-of-school youths in Korea. However, according to the result of analyzing the status of labor human rights education at the Out-of-School Youth Support Center, labor human rights education at the Out-of-School Youth Support Center is inadequate and needs improvement in the functional aspects of labor human rights education that requires various educational factors in order for the out-of-school youths to understand labor society and establish correct values and attitudes for labor rights. Therefore, as part of the plan to revitalize labor rights education for the out-of-school youths who often have less learning opportunities comparatively, this study presented the development area, details, and core competencies for labor rights education of out-of-school youths, and practical strategies. In addition, it was suggested that the Out-of-School Youth Support Center could strengthen the organic cooperation system with the provincial office of education, the district office of education, individual schools, and other related institutions for a further and continues link between finding out-of-school youths and labor rights education.
Design of a Picture-seeing and Talking System Based on Attention Mechanism

In order to solve this problem, this paper proposes an image title generation model based on deep loop architecture. This model combines some new achievements in computer vision and machine translation, and can generate natural sentences that accurately describe the image for an uncomplicated physical image. The model is trained to maximize the accuracy of the target description sentence in a given training image. The training data set was mainly completed by the MSCOCO data set, and in the later adjustment stage, some feature pictures I specifically looked for on the Internet were included for improvement. Test experiments on several data sets verify that the model has the ability of basic accurate image description. This model is usually more accurate in the case of uncomplicated physical pictures, which I have verified both qualitatively and quantitatively. The final result can input a qualified image and output a natural language sentence to describe the main content of the image.
Getting Started

In the previous chapter, we learned about the philosophy of Python. We also learned why we should use Python 3, as well as several concepts related to digital image processing. This chapter will look at image processing programming using Python 3 on the Raspberry Pi. We will learn how to connect a Raspberry Pi to various camera sensors in order to acquire images. We will be introduced to the Pillow and Tkinter libraries in Python 3. The following is a list of topics we will learn in this chapter:
Development of social-cultural competence in future teachers as a dolzarb pedagogical problem

In this article, the development of socio-cultural competence in future teachers is discussed as an actual pedagogical problem and its importance in the field of pedagogy is substantiated with evidence. Also, the essence, task, components, formation factors, methods, forms of manifestation of social-cultural competence, qualities of a pedagogue with social-cultural competence are highlighted. In this article, the development of socio-cultural competence in future teachers is discussed as an actual pedagogical problem and its importance in the field of pedagogy is substantiated with evidence. Also, the essence, task, components, formation factors, methods, forms of manifestation of social-cultural competence, qualities of a pedagogue with social-cultural competence are highlighted.
Digital access and services for library management

Today, we live in an era of instantaneous worldwide communication’. Everyone is well-versed in the lightning-fast pace of technological change. There has been a proliferation of new methods for capturing and transferring text, voice, and visual pictures. We now have unprecedented capacity for archiving and retrieving information, thanks to advances in digital technology. As a result of the advancement of this technology, individuals from all over the globe will be able to communicate with one other, build cultural industries, and profit from the effort of others. It's safe to say that electronic resources are likely to be an important part of any library's collection in the near future. The Internet Archive or Digital Library. With this shift in the sphere of information storage and transmission, digital library services have emerged as a new option for patrons. Encyclopaedias and other reference works are increasingly being made available online in electronic format. Chemical Abstracts Service; Index Medicus; and Engineering Index are just a few examples of abstracting and indexing services that are available online.
Learning Theory and The New “Mental Chemistry” *

The basic concepts and assumptions of learning theory are universally supposed to refer to states and processes of the individual organism. Yet the existing evidence for the assumption that associative strength is an increasing function of number of reinforcements comes from performance curves representing average response measures over groups of learners, or from measures of resistance to extinction or retention scores averaged over groups of learners having different values of the independent variable. In this chapter, the author assumes that unreinforced trials can be treated, without serious error, simply as “neutral” test trials when primary interest is in measuring the effects of preceding reinforced trials. Controlled comparisons relative to effects of the principal events occurring during an acquisition series can, in principle, be accomplished in an experiment running to about a trial and a half.
Comparison of the Kalman Filter and the Unbiased FIR Filter for Network Systems with Multiples Output Delays and Lost Data

In this article, a comparison of the UFIR and Kalman filter to estimate a tracking vehicle system variables is developed considering two possible observation output models. The time stamp approach and the predictive compensation are used to analyze the problem from multiple perturbations, which produces random delayed data and losses during transmissions. For the estimation, a transformation model and a decorrelation covariance matrices are developed with the aim of assure optimal conditions and minimizing the estimation error. Finally, several real situations, miss modeling, uncertain noise covariances, and uncertain probabilities are proposed to demonstrate the effectiveness and robustness of the filter proposed.
A Dual-Store Structure for Knowledge Graphs (Extended Abstract)

Existing knowledge graph stores are classified to relational stores and native graph stores. Relational stores are able to store large-scale knowledge graphs and convenient in updating data, but the query performance weakens obviously when the selectivity of a knowledge graph query is large. Graph stores are efficient in processing complex knowledge graph queries, but they are inapplicable to manage a large-scale knowledge graph due to limited storage budgets or inflexible updating process. Motivated by this, we propose a dual-store structure which leverages a graph store to accelerate the complex query process in the relational store. However, it is challenging to determine that when we transfer which data partitions from relational store to graph store. To address this problem, we derive a physical design tuner DOTIL based on reinforcement learning. Experimental results demonstrate that the dual-store structure improves query performance up to average 50.11% compared with the most commonly used relational stores.
Development of inclusive competence in future teachers

The article outlines the development of inclusive competence in future teachers. The article proposes practical ways to form the inclusive competence of a future teacher of the basics of health in the conditions of professional and pedagogical training and presents the results of an experimental verification of the effectiveness of their implementation.
The development and monitoring of a self-management and social network program affecting teacher performance integrated with research, assessment and quality assurance

This research aimed to develop and monitor the effects of a self-management and social network program on teacher performance integrated with research, assessment and quality assurance.The researchers conducted qualitative research interviews with key informants consisting of 7 experts.The instruments comprised interview questions regarding guidelines for the program development and a program quality evaluation form consisting of 4 evaluation standards: utility, feasibility, propriety and accuracy which were used to develop items for the quality evaluation of the program manual.The developed program quality evaluation form was reviewed by the experts and adjusted accordingly, and was used to collect data from the experts.The data obtained from the interviews were analyzed using content analysis.To evaluate the program, basic statistical analysis was performed consisting of Mean and SD of variables.The program comprised 12 sessions (2 hours per session) as follows: Session 1 Program Introduction and Assessment of Teachers' Self-Management and Integrated Performance, Session 2-11 Application of Self-Management Steps to Teachers' Integrated Performance and Social Network Building for Teacher Collaboration, and Session 12 Conclusion of Self-Management Program and Teachers' Integrated Performance.The quality evaluation of the program found that the program was scored highest on the feasibility standards, followed by the utility, propriety and accuracy standards, respectively.When considering its strengths and weaknesses, the program can be beneficial if properly implemented; however, it may not yield obvious results if the user fails to recognize its importance or fails to follow the instructions thoroughly although it may be considered theoretically perfect.
Usage patterns of koha suite in library science

Libraries confront bigger difficulties than ever before as we go from the information age to the knowledge society. The concept of a library has evolved from a collection of books to a singlewindow knowledge repository. Koha, an open source library management software, is the subject of this article, which provides an overview of the program's features and description. The cost of library management software may be reduced by using open source software. Koha, an open source library management software, has a number of valuable features that may be used to build digital libraries and institutional repositories. An efficient computerised library is one that provides rapid access to resources. Mechanization of library operations primarily via computerization is what is meant by the term “library automation”. Open source software Koha may be used to automate the circulation department of a library and give numerous search options for the library's collection, as well as to create a list of books that are overdue and a bill for those books. Koha is an all-in-one software solution that can handle libraries of various sizes. This programme is open source, so any library that wants to automate its housekeeping tasks may use it.