Reviewerly/exHarmony huggingface dataset:
The lane detection algorithm based on multiscale aggregated attention fusion network

High accuracy and high stability are key elements of the lane detection algorithm in an autonomous driving system. Traditional algorithms are having difficulty extracting detailed features due to the complex geometric structure and background interference of lanes in real scenarios. Therefore, this paper proposes a Multiscale Aggregated Attention Fusion (MAAF) network, which integrates attention mechanisms to improve the accuracy and robustness of lane detection. Firstly, the Recurrent Feature-Shift Aggregator for Lane Detection (RESA) is improved to increase the effective sensory field and improve the efficiency of feature aggregation. Then, the ECANet attention module is used to extract features across channels, enhancing the model's focus on lane details. Finally, a spatial attention mechanism is incorporated to make the network more attentive to lane features, acquire more semantic information, and reduce the influence of background interference and clutter. Experimental results show that this method achieves 96.84% and 76.5% metrics on the TuSimple and CuLane datasets, respectively, surpassing the baseline network. Furthermore, it demonstrates good generalization and robustness, enabling accurate lane detection in complex road environments.
Toward the development of a framework for literacy support and promotion by public libraries in financially and infrastructurally low-resourced territories

Purpose This paper delves into the pivotal role of public libraries in supporting and promoting literacy, with a particular focus on their relevance in financially and infrastructurally low-resourced territories (FILTs). Literacy, being a fundamental skill, empowers individuals, enriches education and contributes to social and economic development. Nonetheless, numerous FILTs encounter substantial obstacles in granting access to quality education and fostering literacy skills among their people. As an opinion piece rooted in empirical literature, this paper serves as an introductory exploration, acknowledging that it only skims the surface of raising awareness. Design/methodology/approach This paper expands upon the existing body of literature concerning public libraries and the imperative for literacy programs. It purposefully addresses a range of issues that may appear contradictory in FILTs, primarily due to economic constraints. However, from the authors’ perspective, these issues actually highlight the vast potential for intervention and progress. Findings Numerous evident strategies can be identified to attain the goal of an enlightened and educated nation, fostering empowered individuals. One such approach involves prioritizing the promotion and support of literacy programs in public libraries. Nonetheless, there is a pressing need for heightened awareness regarding the significance of adopting a holistic perspective when addressing various interconnected issues. This includes the long-term advantages associated with an educated and literate society, particularly in FILTs. Originality/value The literature within the field of library and information science offers scarce publications regarding literacy support programs in libraries, despite the fact that fostering informed and literate citizens is a prominent goal in the mission and vision plans of numerous FILTs. This paper presents an exploratory perspective, aiming to raise awareness about the significance of considering diverse approaches to support and promote literacy in public libraries within FILTs. It also proposes the development of a framework as a means to facilitate this endeavor. While the context of the paper is framed for FILTs, aspects of the framework may also be useful and applicable in other well-resourced regions and libraries.
Optimizing of Library Management Based 5S Method (Case Study: Buluh Cina Village, Kampar District, Riau)

This community service activity aims to develop and improve library management using the 5S method and computerised system of books inventory to increase community literacy in Buluh Cina Village, Kampar Regency, Riau Province. The optimal and efficient library, such as book collections, library users, facilities, infrastructure, and library management, can be appropriately managed based on the 5S method and book inventory-based computerisation. The 5S method (Seiri, Seiton, Seito, Seiketsu and Shitsuke) was adopted to organise library rooms by arranging bookshelves, catalogue cabinets, reading tables, and other equipment. By applying the 5S method, a more optimal inventory management system and book borrowing were obtained easily. The existence of this system makes it easier for officers to put back the books that have been read in their original place. Replacing books can be done quickly; the librarian only needs to input the book code, book data and shelf locations for storage displayed. The book was inventory-based computerised, which made it more accessible to detect the number of collections, the presence of books on storage shelves, a monitoring system for book borrowers, and additional collections. Therefore, the management and services of the library are optimal and lead to the visitors' satisfaction.
The Originality of Digital Evidence and the Retention of Seized Digital Devices by Law Enforcement Officers in South Africa

Information and communication technology (ICT) devices, including mobile phones, laptops, computers and data storage mediums, such as memory sticks, are being seized daily by law enforcement agents. These devices are seized for different reasons in terms of the provisions of sections 21 to 23 of the Criminal Procedure Act 51 of 1977 and now, in terms of the provisions of sections 28 and 29 of the Cybercrimes Act 19 of 2020. The seizure and extended retention of such devices by law enforcement can have a devastating impact on businesses and individuals. In virtually all cases, the main objective of seizing an ICT device is to secure its data for purposes of investigation and the collection of evidence. This excludes, inter alia, cases where a device contains contraband and cannot be handed back to the suspect or in a case where circumstances justify forfeiture to the state. This article is limited to cases where the physical device has no evidential value. It is contended that the content of the evidential data and the requirement of originality on an ICT device is met by scientifically created forensic duplicates of the data, which negate law enforcement from unnecessary seizure and retaining the original device. The authors contend that ICT devices should only be seized in situations where a forensic duplicate of the evidential data cannot be created on the scene and, if seized, the evidential data should be forensically duplicated, and the original device returned within a pre-determined period. An extension of the pre-determined period should only be granted by a magistrate upon application. It is recommended that the subject be researched further, to arrive at a reasonable, pre-determined period, and that the Criminal Procedure Act 51 of 1977 and Cybercrimes Act 19 of 2020 be amended accordingly.
Introduction

The ubiquity of cameras in various devices (e.g., mobile phones, surveillance cameras, in-vehicle cameras) has led to an exponential increase in video data.
A Narrative Study on the Experience of Participating in Elementary Social Studies Media Literacy Education to Improve Age Discrimination

Objectives The meaning of the experience of participating in education was explored in depth by identifying the actual state and formation process of age discrimination in the elderly and implementing media literacy education to improve it.&#x0D; Methods Media literacy classes to improve age discrimination were conducted for sixth graders in elementary schools located in Daejeon Metropolitan City, and narrative studies were conducted to understand the meaning of educational participation experiences through participatory observation and in-depth interviews.&#x0D; Results Media literacy education to improve age discrimination is a process of critically reflecting on the reality and formation process of elderly prejudice and realizing that media is reproducing distorted reality by promoting negative prejudice against the elderly. In addition, it is a process of recognizing the heterogeneous and diverse aspects of life of the elderly and actively dismantling the fixed and collective image of the elderly, and a process of making a small voice against age discrimination.&#x0D; Conclusions This study suggests that active educational intervention is needed in the formation process of age discrimination among elementary school students outside of school and in the media world, and solutions to the problem of age discrimination can also be found in the media. In the future, social studies should provide an opportunity to think about the need for the social contribution of the elderly, welfare of the elderly, and guaranteeing the social and political rights of the elderly, and deal in-depth with the problems of the creation and use of hate expressions derived online.
A Study on the Elementary English Class Using the Virtue Project

Objectives The purpose of this study was to propose an English and character education integrated lesson for third-grade students using the Virtue Project.&#x0D; Methods The researchers analyzed the learning objectives presented in the 3rd and 4th-grade English textbooks from the 2015 revised curriculum. Based on the character-related language materials provided by the curriculum and the key character elements suggested by scholars, final ten virtues were selected. The picture books used as teaching materials were chosen based on the selection criteria for picture books suitable for elementary learners while reflecting the language materials presented in the elementary English curriculum.&#x0D; Results The research results are as follows: First, an English class plan for third grade elementary school students was derived using the Virtue Project, which is effective in character education. Second, a specific class structure that can be applied on a semester basis was designed. In addition, classes using the Virtue Project were designed with various activities and group compositions to increase interaction between students.&#x0D; Conclusions Utilizing the Virtue Project for elementary English classes not only enhances English communication skills but also effectively applies to various elementary English education settings.
Exploring Overcoming of Difficulties and Supports in Implementing Play-Centered Childcare Curriculum for Infant Class Teachers

Objectives The purpose of this study is to examine the difficulties faced by infant class teachers in implementing play-centered childcare curriculum and to devise measures to solve the problems in response to requests for support.&#x0D; Methods The study participants were 4 teachers and 21 infants from a workplace daycare center located in I-si, Gyeonggi-do, and the study was conducted from May 2, 2022 to October 31, 2022. Data were collected through two participant observations, three in-depth interviews, one consultation, and documents. Data analysis was conducted by qualitatively classifying the transcribed content into lower-level, and upper-level categories through thematic coding and meaning creation process.&#x0D; Results The research results are as follows. First, It was found that infant class teachers were experiencing difficulties due to the individuality of infants, difficulties in play support, ambiguity in intervention, internal interference factors, interaction, difficulties in practice, and excessive workload in implementing the play-centered child care curriculum. Second, ways for infant teachers to overcome the difficulties they face in implementing play-centered childcare curriculum and receive support include changing their perception of play, reflective thinking through self-study, sharing concerns about play, recognition of teachers' autonomy, and training to improve professionalism, and managing job stress.&#x0D; Conclusions Based on the results of this study, In conclusion, infant teachers are able to overcome the difficulties they encounter in the process of implementing a play-centered childcare curriculum on their own through 1:1 customized support with the director. on the one hand, overcome through consultation between fellow teachers through community activities.
Development of Teaching and Learning Model for Systematic Convergence of Artificial Intelligence and Science Subjects

Objectives The purpose of this study is to develop a teaching-learning model that is the basis for designing and implementing teaching-learning for the systematic convergence of artificial intelligence and science subjects.&#x0D; Methods Richey and Klein (2007)'s design and development research method was applied to develop a teaching-learning model for learning that combines science and artificial intelligence modeling and to review its validity. Implications were drawn through comparison and analysis of modeling, a common learning element of the subject, and a teaching and learning model was developed based on this. The teaching-learning model was revised and supplemented several times by reflecting expert review opinions.&#x0D; Results In the teaching-learning model, learning is performed on K (knowledge), M (modeling), and B (personality) elements. Through the implementation of the teaching-learning model, an integrated teaching-learning design considering the characteristics of science and artificial intelligence subjects is possible. Because it was developed by reflecting the implications of in-depth comparison and analysis of science and artificial intelligence modeling, effective modeling learning can be executed. Modeling learning applied with the teaching-learning model can be used as a support strategy to solve the difficulties of existing science modeling teaching-learning. First, through teaching and learning to which converged modeling is applied, learners can participate in the entire modeling process relatively easily and conveniently, providing an opportunity to change the perception that the modeling process is difficult. Second, the use of artificial intelligence models and modeling results will be a specific support strategy that can support learners' thinking expression and hypothesis generation, which are pointed out as the biggest difficulty for learners in the process of model construction.&#x0D; Conclusions This study provides teaching-learning procedures, activities, detailed strategies, and examples necessary for teaching-learning situations for the effective design and implementation of science and artificial intelligence convergence education. Because of this, it is possible to clearly reveal how science and artificial intelligence convergence education can actually be done in the field. In addition, it is expected that it will be able to present a blueprint that can overlook the entire process of class design and execution for science and artificial intelligence convergence education.
Analyze Middle School Students' Digital Literacy Needs

Objectives This study investigated middle school students' awareness of the importance and implementation of digital literacy and their educational needs, analyzed it according to residential area (metropolitan area, non-metropolitan area), and identified priorities. Through this, implications for the direction of digital literacy education design were obtained. wanted to obtain.&#x0D; Methods To achieve the purpose of this study, data were collected from 258 junior high school students living in the metropolitan area and non-metropolitan area for about 15 days from July 15, 2023, using a questionnaire based on previous studies. IBM SPSS 26.0 was used to process the data, and the paired sample t-test, Borich needs analysis, and TLfF model (The Locus for Focus Model) were used.&#x0D; Results First, we examined the difference between the importance and practice of digital literacy as perceived by middle school students, and found that the perceived level of importance was higher than the current practice in all areas. Second, we derived priorities using Borich needs analysis and The Locus for Focus Model (TLfF Model), and found that digital thinking skills and digital tools were highly demanded. Third, by region of residence (metropolitan area, non-metropolitan area), the perceived importance was highest for digital information protection in both the metropolitan area and non-metropolitan area, and the implementation level was highest for digital communication and collaboration in the metropolitan area and digital resource utilization in the non-metropolitan area. Fourth, as a result of deriving priorities using the Borich needs map and TLfF model by region of residence (metropolitan area, non-metropolitan area), the highest level of need was observed in the metropolitan area, followed by digital thinking skills, digital tools, and digital information protection, while the highest level of need was observed in the non-metropolitan area, followed by digital thinking skills, digital tools, and the ability to create and express digital content.&#x0D; Conclusions These findings can be utilized as guidelines and basic information for closing the digital literacy education gap and contribute to actively responding to future social changes and improving students' digital literacy capabilities by implementing digital literacy education in a desirable direction.
The Trends and Keywords Analysis of Research in STEAM instruction: Focused on the Academic Journal Published from 2011 to 2022

Objectives The purpose of this study was to analyze trends in interdisciplinary education by focusing on elementary and middle school STEAM classes and to identify specific attributes inherent in STEAM instruction.&#x0D; Methods To achieve the research objectives, we analyzed trends in STEAM education instruction and conducted keyword network analysis. The “Excel” and “Textom” program was used as a research tool. Also, research types, grade levels, instructional objectives, utilized technologies, subjects, teaching methods, and instruction effects were examined by utilizing framework divided into external and content dimensions.&#x0D; Results The findings of this study are as follows: Firstly, research on STEAM instruction has been consistently conducted from 2011 to September 2022, primarily published in academic journals covering topics such as information, technology, practical arts, science, and art. Main keywords revealed terms such as education, integration, class, program, science, elementary, and technology. Secondly, research on STEAM instruction consisted of empirical studies. The grade levels involved were elementary school, middle school, and high school, in that order. The primary objective of STEAM instruction was curriculum education, involving various subjects with a particular emphasis on science. A total of 61 different technologies were introduced and applied to STEAM instruction, including robotics, VR, AR, AI, and 5G, indicating an observation of technological trends through STEAM instruction. PBL classes revolving around problems or projects constituted the majority of STEAM instruction, and the effects of STEAM instruction encompassed class satisfaction, problem-solving ability, creativity, and more.&#x0D; Conclusions This study examined trends in STEAM instruction, providing significance through the differentiation and analysis of external and content dimensions. Given that the study focused on analyzing actual STEAM instruction, it will aid in understanding and referencing practical aspects such as trends in STEAM instruction and curriculum composition for STEAM instruction.
A dynamic alignment and illumination‐aware convolution for shadow removal

Abstract Shadow removal is a challenging task because the variety of shadows is influenced by surface texture and lighting. This paper proposes a dynamic alignment and illumination‐aware convolution (DAIC), which consists of a Feature Alignment Module (FAM) and a Dynamic Weight Module (DWM). FAM aligns the downsampled deep features with the original features and helps to extract the optimal local information to ensure that the object texture features are not corrupted. DWM generates weights according to different lighting variations for a better shadow removal result. The shadow removal approach is based on an image decomposition algorithm using a multi‐exposure image fusion model. Here, the shadow removal network and refinement network use U‐Net framework, and the transposed convolution operations are replaced with DAIC in the decoder part of U‐Net to improve the performance of the network. The experiments are conducted on two large shadow removal datasets, ISTD+ and SRD. Compared to state‐of‐the‐art methods, this model achieves optimal performance in terms of Root Mean Square Error (RMSE) for the non‐shadow region. It also achieves performance comparable to the state‐of‐the‐art method in terms of RMSE for the shadow region and structural similarity index measurement for the entire image.
Recognizing emotions in restaurant online reviews: a hybrid model integrating deep learning and a sentiment lexicon

Purpose This study aims to establish a model for rapid and accurate emotion recognition in restaurant online reviews, thus advancing the literature and providing practical insights into electronic word-of-mouth management for the industry. Design/methodology/approach This study elaborates a hybrid model that integrates deep learning (DL) and a sentiment lexicon (SL) and compares it to five other models, including SL, random forest (RF), naïve Bayes, support vector machine (SVM) and a DL model, for the task of emotion recognition in restaurant online reviews. These models are trained and tested using 652,348 online reviews from 548 restaurants. Findings The hybrid approach performs well for valence-based emotion and discrete emotion recognition and is highly applicable for mining online reviews in a restaurant setting. The performances of SL and RF are inferior when it comes to recognizing discrete emotions. The DL method and SVM can perform satisfactorily in the valence-based emotion recognition. Research limitations/implications These findings provide methodological and theoretical implications; thus, they advance the current state of knowledge on emotion recognition in restaurant online reviews. The results also provide practical insights into intelligent service quality monitoring and electronic word-of-mouth management for the industry. Originality/value This study proposes a superior model for emotion recognition in restaurant online reviews. The methodological framework and steps are elucidated in detail for future research and practical application. This study also details the performances of other commonly used models to support the selection of methods in research and practical applications.