Reviewerly/exHarmony huggingface dataset:
Qatar's Magical Land: An Ecocriticism Study on the Representation of Nature in Dreamers Music Video by FIFA World Cup

Abstract&#x0D; Qatar, as the host of the World Cup 2022, has released a music video to enliven the euphoria. The music video is believed to indirectly present several issues including environmental issues. This research aims to examine the depiction of nature in the Dreamers music video by Jungkook and Fahad Al Kubaisi for the official soundtrack of FIFA World Cup 2022. This paper uses ecocriticism interest which takes an earth-centered approach to a literary study by looking at the role nature plays in a given work proposed by Cheryll Glotfelty. The result of the study shows that the music video contains some nature representations which are the existence of pearls as Qatar’s main income source before oil discovery, the whale shark as the country's representation to signified its new image, and the white snowy tree emphasizing a climate change that has been a serious concern in the Arab world.&#x0D; Keywords: Ecocriticism, Music Video, Qatar, Representation, World Cup 2022
Design of a Highly Efficient Reconfigurable Processing Unit for Neural Network Acceleration

With the increasing prevalence of deep learning applications, the importance of deep neural network (DNN) accelerator circuits cannot be overstated. This paper presents a novel design for a highly efficient processing unit tailored for DNN systems. Our design aims to efficiently implement key neural network layers commonly found in advanced DNN architectures, including convolution, deconvolution, fully connected, pointwise, and depthwise convolutions. The proposed processing unit consists of 576 multipliers, supplemented by an additional 24 auxiliary multipliers. The main 576 multipliers can be configured into eight sets of 3x3 convolution operators with a depth of 8. By decomposing large kernel convolutions into multiple steps of basic 3x3 convolutions, our design enables efficient processing. Additionally, the multipliers can be reconfigured into 24 sets of 1x1 convolution operators with a depth of 24. For deconvolutional operations, the multipliers are reconfigured into eight sets of 4x4 deconvolution operators with a stride of 2 and a depth of 8. Furthermore, to support advanced DNN architectures employing depthwise separable convolutions, we employ an additional 24 multipliers alongside the 576 multipliers. This combination forms a cascaded structure of 24 sets of pointwise operators with a depth of 16, as well as 24 sets of 3x3 depthwise convolution operators. Our processing unit also facilitate merged operations of convolution, deconvolution, activation, and pooling layers. The hardware utilization of the supported layers is maximized, and the proposed processing unit can be integrated into a complete DNN accelerator system capable of achieving a peak operation of 240 GOP/s. Our design offers real-time performance for popular networks such as YOLOv3-tiny and MobileNet.
A Consideration of the Distribution Bias Between Visual Analog Scale and Two Types of Likert Scale (5 and 7-Step Likert Scale)

This paper describes a consideration of the distribution bias between visual analog scale (VAS) and two types of Likert scale (LS: 5-step and 7-step LS). The data are collected from 40 participants. They were invited to answer 5-step LS (LS5) questionnaires first, and then to answer VAS questionnaires a week later. And more a week later, they were also invited to answer 7-step LS (LS7) questionnaires. To apply the same evaluation criteria, VAS data and two types of LS (LS5 and LS7) data are transformed to ratio scales value (i.e., 0.00 to 1.00), and the subjective evaluation distributions based on two types of LS and VAS are calculated and visualized (descriptive statistics values, histograms, boxplots, and plots using a 95% confidence interval). As a result, it is possible to express detailed results by using VAS rather than LS for questions that ask about intensity as same as the author’s previous studies. However, this suggestion differs depending on the type of question， And these are derived from a limited example． Therefore, it is necessary to apply this method to various fields (such as education, music listening, image viewing, etc.) to obtain stable conclusions.
An Analysis of Trends in Early Childhood Teachers' Play Support: For papers listed in Korean Citation Index(KCI)

The purpose of this study is to understand how teachers' interest in and approach to play support has changed by analyzing recent domestic research trends on early childhood teachers' play support. For this purpose, 114 studies related to early childhood teachers' play support published in domestic academic journals from 1991 to 2023 were selected. For the selected papers, frequencies and percentages were calculated according to the research period, research subjects, research methods, and research topics according to the analysis criteria established by the researcher based on related literature. The analysis results are as follows. First, research on teachers' play support continues to increase, and in particular, it has rapidly increased since 2018, with research on teachers' play support being most actively conducted between 2021 and 2023. The research topics were 'implementation and reality', followed by 'related variables and others', 'play support competency', 'awareness and understanding', 'needs and methods search' and 'development'. The most common research topic was ‘implementation and reality.’ The results of this study were discussed for each analysis category and ways to revitalize teachers' play support research for young children were discussed.
Analisis Tingkat Security Awareness-Personal Threat Terhadap Ancaman Phishing Dengan Metode Technology Threat Avoidance Theory (TTAT)

Phishing is a sort of cybercrime that involves obtaining sensitive information through the use of email, SMS, or compromised websites. The effects of phishing are caused by factors in the Technology Threat Avoidance Theory. The single best way to stop phishing attacks is to increase awareness of the risk of them happening among users or end users (human firewall). To determine the next steps in raising user knowledge, it is necessary to measure cybersecurity awareness, particularly against phishing assaults. Identify a few significant cybersecurity awareness of FTTI University of Jenderal Achmad Yani students in Yogyakarta. The investigation in this case included a phishing test and also employed online observation using observers who were asked questions based on the Technology Threat Avoidance Theory (TTAT). Using the MANOVA analysis method, factors influencing cybersecurity awareness analysis is conducted. Based on the analysis and testing of phishing tests as well as online questionnaires from the sample population, it shows that the sample is at a poor level of awareness. While the analysis of cybersecurity influence factors using the MANOVA analysis method shows that the results of the sig.&gt; 0.05 value so that h0 is rejected. Based on the results of the study, it was concluded that FTTI students were still vulnerable to phishing attacks. Factor analysis using the MANOVA method shows that the dependent factor affects the level of cybersecurity awareness of the respondents but there is no significant difference between the dependent factors.
Research on adaptive selection method of radiation sources in passive radar based on GNSS signal

Due to limitations in computing power, the passive radar based on GNSS signal may not be able to use all the GNSS signals, requiring to make signal selection. Based on CRLB, a new radiation sources adaptive selection method for passive radar is proposed. With the goal of minimizing the CRLB of GNSS signals and the number of GNSS signals as constraints, an adaptive selection model is established. Simulation experiments were conducted using the selection model and particle filter algorithm. Experimental results show that the calculation accuracy of this algorithm is slightly lower than the tracking results obtained using all six satellites, but the calculation time is greatly reduced, reducing the requirement for radar computing power.
A Study on the Operation Status and Diagnosis of Teacher Quotes in the Local Education Offices

The purpose of this study is to present an analysis and diagnosis model for reviewing the appropriateness of the teacher quota operation of the local education offices to improve the efficiency of teacher operation and to prepare a reasonable national-level teacher allocation plan. To this end, 21 detailed indicators (drafts), including basic quotas, appropriate size, future education, and appropriateness of supply and demand plans, were presented through analysis of the operation and diagnosis of teachers' quotas at the metropolitan and provincial offices of education. In addition, an analysis model was developed using the number of students and schools as predictors to analyze the adequacy of teacher quotas at the metropolitan and provincial offices of education. Using the regression coefficients derived from the analysis results, the expected and actual quotas for teachers by the metropolitan and provincial offices of education were compared to present changes in areas that under- and overcrowded teacher quotas, and proposed ways to utilize the analysis results. As a result of the study, first, it was necessary to upgrade the data management system related to the designation and index of analysis specialized institutions for the adequacy analysis and diagnosis of teacher quota allocation at the metropolitan and provincial offices of education, second, the introduction of a minimum teacher allocation system, and third, improvement of teacher allocation methods in overcrowded classrooms or new schools, and finally, transparency of teacher allocation standards and methods by metropolitan and provincial offices of education.
Effect of Globalization on Management of Small and Medium Enterprises: A Case of Some Selected SMEs in Ghana

The effect of globalization on small and medium enterprises (SMEs) has received a lot of attention in international circles in the past few years. One of the reasons for the international focus on SMEs is that these firms make significant contributions to the economies of both developing and developed countries. The theories reviewed were: how globalization affects SMEs positively and negatively and the importance of globalization. The specific objectives of this study were: &#x0D; &#x0D; To determine the effect of globalization on small and medium enterprises. &#x0D; To determine the benefit of globalization on the management of SMEs. &#x0D; To access the factors that hinder SMEs' global integration. &#x0D; To identify the barriers to the success of SMEs. &#x0D; &#x0D; A descriptive survey design was used. The target population of the study was fifty (50) respondents of the managers and owners of SMEs.&#x0D; This study was carried out using interviews and questionnaires. The results show that the effect of globalization on SMEs has made their resources more efficient and effective, creating many investment opportunities, operating globally, and having more global competition. It was found that the benefit also helps the SMEs management upgrade and adapt to new strategies and always find innovative ways of promoting the firm's market. It was found that key challenges include: High competition in the market, especially big/ foreign organizations, and small businesses are still hindered by the lack of technological implementation, lack of managerial experience, capacity and lack of knowledge about the market. Further, it was found that there is also a barrier to the success of SMEs that lack government support, experience with foreign markets, and information about the markets. High cost has made a lot of entrepreneurs not to enter the big market with high growth.
PEMEROLEHAN SINTAKSIS PADA ANAK USIA DINI

Language and humans are two inseparable entities. Both of them influence each other. The purpose of the study is to reveal the acquisition of syntax that occurs in early childhood. This research is significant because the development of language acquisition in children changes over time. This research is descriptive-qualitative, the methods used in data collection are questionnaires, interviews, and documentation. The participants of this study were early childhood children in the Special Region of Yogyakarta. The results of this study indicate that children aged 1-2 years can talk in the form of one word, children aged 2-3 years can talk in the form of two words, three words, even some of them can pronounce sentences with the right syntactic arrangement, namely subject + predicate and object, while children aged 3 years and up can talk in complete sentences. Children 3 years old and up can talk using declarative, imperative, and interrogative sentences. The result of the study indicates that children's habit of watching television or playing gadgets for more than 4 hours a day have a delay in talking.
Uncertain Machine Ethical Decisions Using Hypothetical Retrospection

We propose the use of the hypothetical retrospection argumentation procedure, developed by Sven Ove Hansson to improve existing approaches to machine ethical reasoning by accounting for probability and uncertainty from a position of Philosophy that resonates with humans. Actions are represented with a branching set of potential outcomes, each with a state, utility, and either a numeric or poetic probability estimate. Actions are chosen based on comparisons between sets of arguments favouring actions from the perspective of their branches, even those branches that led to an undesirable outcome. This use of arguments allows a variety of philosophical theories for ethical reasoning to be used, potentially in flexible combination with each other. We implement the procedure, applying consequentialist and deontological ethical theories, independently and concurrently, to an autonomous library system use case. We introduce a preliminary framework that seems to meet the varied requirements of a machine ethics system: versatility under multiple theories and a resonance with humans that enables transparency and explainability.
Training and Generalization Errors for Underparameterized Neural Networks

It has been theoretically explained, through the notion of Neural Tangent Kernel, why the training error of overparameterized networks converges linearly to 0. In this work, we focus on the case of small (or underparameterized) networks. An advantage of small networks is that they are faster to train while retaining sufficient precision to perform useful tasks in many applications. Our main theoretical contribution is to prove that the training error of small networks converges linearly to a (non-null) constant, of which we give a precise estimate. We verify this result on a neural network of 10 neurons simulating a Model Predictive Controller. We also observe that an upper bound of the generalization error follows a double-peak curve as the number of training data increases.
Semantic Consistency Reasoning for 3-D Object Detection in Point Clouds

Point cloud-based 3-D object detection is a significant and critical issue in numerous applications. While most existing methods attempt to capitalize on the geometric characteristics of point clouds, they neglect the internal semantic properties of point and the consistency between the semantic and geometric clues. We introduce a semantic consistency (SC) mechanism for 3-D object detection in this article, by reasoning about the semantic relations between 3-D object boxes and its internal points. This mechanism is based on a natural principle: the semantic category of a 3-D bounding box should be consistent with the categories of all points within the box. Driven by the SC mechanism, we propose a novel SC network (SCNet) to detect 3-D objects from point clouds. Specifically, the SCNet is composed of a feature extraction module, a detection decision module, and a semantic segmentation module. In inference, the feature extraction and the detection decision modules are used to detect 3-D objects. In training, the semantic segmentation module is jointly trained with the other two modules to produce more robust and applicable model parameters. The performance is greatly boosted through reasoning about the relations between the output 3-D object boxes and segmented points. The proposed SC mechanism is model-agnostic and can be integrated into other base 3-D object detection models. We test the proposed model on three challenging indoor and outdoor benchmark datasets: ScanNetV2, SUN RGB-D, and KITTI. Furthermore, to validate the universality of the SC mechanism, we implement it in three different 3-D object detectors. The experiments show that the performance is impressively improved and the extensive ablation studies also demonstrate the effectiveness of the proposed model.
Friday Reading Habit as Strategy to Increase Reading Performance of Grade 7 Students of San Isidro National High School

The research was designed to determine the Friday reading habit as strategy to increase reading performance of G7 students of SINHS 2016 – 2017. This study adopted a qualitative data and quantitative collection approach to analyze Friday Reading Habit as an Evaluation Tool to Increase Reading Performance of G7 Students of San Isidro National High School (SINHS). Three research techniques of data collection were utilized in this study to ensure reliable data results and adequate descriptions of the phenomena: the pre -reading test and the post – reading test results, and observations. The researchers found out that the Friday reading habit as strategy has increased significantly the reading performance of the selected G7 students of SINHS. The target respondents for this study were the Selected G7 students of SINHS. 2 heterogeneous sections were utilized in conducting the pre – post reading test. , in practicing the Friday reading habit, it shows that it was evidently successful for there was a great increase with the performance of the selected grade 7 students of San Isidro National High School. The study shows that after having the treatment of the Friday reading habit as strategy, 2% was added to the independent reader, while 14 % was added in the instructional level and frustration level decreased 16%; (2) The majority of the respondents are experiencing the lack of parent’s assistance, their parents have no time for them to review and reinforce what they did not understand in school lessons and their laziness and lack of interest in reading; (3) The study shows a high difference on the performance of the students after having the treatment of a Friday Reading habit as strategy to increase reading performance of the selected G7 students of SINHS. It clearly shows that having this tool will successfully make students reading performance be enhanced. After a thorough analysis of data, the following recommendations are hereby made: (1) Development of more reading instructional materials which are validated by the Master Teacher to be more reliable; (2) Development of a Computer Language Learning Materials to improve learning attention and retention of the students; (3) Utilize the Friday Reading Habit as an evaluation tool to increase reading performance of the students; and (4) To validate the reliability of this study, more parallel studies in different learning competencies are encouraged.
A Comprehensive Review on Secure Video Streaming in Cloud Environments

The proliferation of cloud-based video streaming services has revolutionized the way users access and share multimedia content. However, the inherent security challenges associated with transmitting, storing, and delivering video data in cloud environments demand comprehensive solutions. This review paper aims to provide a thorough analysis of the state-of-the-art techniques and methodologies employed in ensuring secure video streaming in the cloud. It encompasses various aspects such as encryption, authentication, access control, and integrity verification to safeguard video content throughout its lifecycle.
Analysis of Judicial Trends of Sedition Laws in India

The law of Sedition forbids speech or actions meant to stir up dissatisfaction or insurrection against the government. Since the colonial era, there has been a struggle between freedom of speech and sedition laws. This law was enacted by the British in order to silence leaders or freedom fighters and minimize the threat against them. The Author has analysed sedition law in India in light of Freedom of speech and expression and reviewed the judicial trends thereof.
A Comparative Study Between Manual and ChatGPT Translations on Literary Texts: Taking Kung I-chi as an Example

Please refer to the URL that includes this article for the abstract.
Reflections on the Construction and Development of Gansu Science and Technology Evaluation Scientific Data Center

This paper mainly analyzes the construction of scientific data centers at home and abroad, researches the development and policy support of the construction of scientific data centers in our province, and introduces the effectiveness and problems of the construction of scientific data centers for science and technology evaluation in Gansu Province. By studying the construction of resource system, strengthening the overall planning of scientific data work, doing a good job of top-level design, and improving the integration of scientific data resources into the scientific data center of science and technology evaluation are the necessary prerequisites to do a good job in the scientific data center. It also puts forward opinions and suggestions for the sustainable development of Gansu Provincial Science and Technology Evaluation Scientific Data Center, and promotes the construction of the capacity system of Gansu Provincial Science and Technology Evaluation Scientific Data Center..
ENGLISH TEACHERS' ABILITY IN WRITING JOURNAL ARTICLES IN THE INDONESIAN LANGUAGE

&lt;em&gt;This research was conducted to study the language skills of English teachers of senior high schools in Sragen Regency in composing a journal article for publication in Bahasa Indonesia. This is aimed to see the quality of Bahasa Indonesia skills of the teachers in the article even though they have an English education background and they are English teachers at present. Members of the High School English Teachers Association in the regency were involved in the research. A questionnaire consisting of 45 statements was distributed to the teachers. They were asked to give responses and then the collected responses were analysed to see their language quality related to the process of article production. Furthermore, they were also asked to write a journal article in Bahasa Indonesia, and the collected manuscripts were then analysed for their text structure and text texture. The results show that they do not have good knowledge and language skills in identifying as well as producing texts of certain types. Furthermore, they also got problems positioning what type of text to which part of a journal article. This condition indicates that the teachers still need an upgrading program for their language skills to compose a journal article, and in addition, they need others to give a hand during the process of article writing&lt;/em&gt;