Reviewerly/exHarmony huggingface dataset:
A comparative study in the degree of the practice of supervisory competencies of the educational supervisor and specialization from the point of view of physical education and teachers in the city of Mosul

The goal of the research is to identify the statistical differences in the degree of the practice of supervisory competencies of the educational supervisor and the specialist from the point of view of teachers and teachers in the city of Mosul, and the descriptive analytical approach was relied on to suit it with the goals of the research, and the research community included teachers and teachers of physical education in government schools in the city of Mosul, Where the community included (827) teachers and teachers for sports education, including (583) male and female teachers and (244) teachers. As for the research sample, it was chosen in the random way (233), which constitutes (28%) of both sexes of the research community.The researchers used the analysis of sources, questionnaire and personal interview, and a questionnaire was prepared to assess the supervisory competencies of the educational supervisor from the point of view of physical education teachers, and the questionnaire in its final form is from (67) a paragraph divided into nine competencies and after confirming the scientific transactions of the questionnaire from the sincerity of the arbitrators and the sincerity of the internal consistency of the paragraphs and the constructive honesty The stability of the questionnaire was confirmed in two ways: the method of midterm retail and the method of alpha coloring laboratories, followed by the distribution of the questionnaire on the sample and its statistically addressed by the T.Test test, and the Levin test was one of the most important results reached by the research that there are no statistically indicative differences in the degree of supervisory competencies of the educational supervisor And the specialist from the point of view of teachers and teachers
MENTAL MAPS IN TEACHING: FROM THEORY TO PRACTICE

The paper substantiates the importance of using the method of mental maps in teaching. The main provisions of the theory of mental maps are described. The paper seeks to investigate the attitudes towards using mental maps in graduate students at pedagogical universities. Using the resulting data, the paper aims to formulate methodological recommendations that would help students develop their ability to build mental maps. The paper also reveals a contradiction between the high level of theoretical knowledge about mental maps among graduate students and the low level of formation of their practical skills to build mental maps.
Studi Korelasional Prestasi Belajar Siswa dengan Kemampuan Menulis Narasi pada Anak Sekolah Dasar

Abstract&#x0D; &#x0D; Correlational Study of Student Learning Achievement and Narrative Writing Skills in Elementary School Children&#x0D; &#x0D; Background: Student learning achievement can be known by conducting an assessment process through evaluation activities so that the evaluation results can describe student achievement by looking at their abilities. The ability to write narratives is one of the skills that must be mastered well by students because through writing narratives, students can express their ideas, feelings, and desires.&#x0D; Objective: This study aims to determine the relationship between student learning achievement and narrative writing skills grade 4 elementary school students in Brebes.&#x0D; Method: This research is a type of quantitative research using a correlational research design. The sampling technique in this study used total sampling technique. The collected data were analyzed univariately and bivariately. The statistical test used is the Contingency Coefficient test.&#x0D; Results: Based on the results of data analysis using the Contingency Coefficient test, a significance value of 0.001 was obtained, so it can be stated that there is a significant and positive relationship between student learning achievement and the ability to write narratives in grade 4 elementary school students in Brebes. The value of the correlation coefficient is 0.427 which shows the magnitude of the strength of the relationship between the two variables in the medium category.&#x0D; Conclusion: There is a relationship between learning achievement and narrative writing skills in grade 4 elementary school students in Brebes.&#x0D; &#x0D; Keywords: learning achievement, narrative writing, elementary school &#x0D;
Features of subjective manifestations of computer visual syndrome among students

Purpose. To conduct a qualitative and quantitative evaluation of the subjective components of the CVS. Material and methods. 346 people participated in the study, who are students of various higher and secondary educational institutions in Russia, whose average age was 20.6 ± 0.1 years. With the help of a multidimensional author's questionnaire, such groups of CVS symptoms as conjunctival, accommodative, visual-motor, neuroreceptor and neuropsychiatric, as well as the frequency and duration of use of devices were evaluated. Results. The average experience of using digital devices among students was 10.6 ± 0.2 years, the frequency of using «I live with a computer / smartphone» turned out to be the most popular, and the most common manifestations of CVS in each group were complaints of dryness, difficulty focusing at a long distance, blurred vision during visual work, sleep disturbance and eye pain. Conclusion. A preliminary analysis of the results of a multidimensional online questionnaire on the qualitative and quantitative analysis of the subjective components of CVS among students showed the need to take into account and further study such symptoms as neuroreceptor and psychoneurological, which could expand the possibilities of diagnosing CVS and help in the subsequent assessment of clinical complaints of CVS in people using digital devices. Keywords: computer visual syndrome, device, complains, symptoms, questionnaire, dry eye syndrome
Learner Corpora and Cross-Linguistic Applications

Commonly featured as one of the most flexible analysis methodologies, corpus linguistics applications are an open class, facilitating the development of inter-and transdisciplinary research studies. The extensive applicability of corpus linguistics syncs with the fast updating state-of-the-art technology, fostering multi-layered competences applied to design experiments, data collection and interpretation, lead to improved qualitative and statistical research tools. Driven by the requirement of multilayered competences, we embark upon the in-depth investigation of a learner corpus to identify the occurrence pattern and rate of mistranslation instances, based on a translation project carried out by 1st and 2nd year undergraduates in Translation and Interpretation.
DEEP LEARNING FOR AUTOMATIC SEGMENTATION OF CLINICAL PHOTOGRAPHS OF ORAL PREMALIGNANT AND MALIGNANT LESIONS

Objective To explore the usage of Deep Learning (DL) induced models for automatic segmentation of premalignant and incipient malignant lesions on photographic images. Study Design A dataset of 308 clinical images from three institutions was used to design, train, and evaluate DL-based models. For each image, ground-truth annotation was performed by three experts and combined via union of the labelled areas, thus minimizing false negatives. The dataset was split into two subsets, with 246 training and 62 test images, with 10-fold cross-validation being applied to the first subset. The experimental results were evaluated using mean pixel-wise Intersection Over Union (IoU). Preliminary Results The best performing model was a U-Net architecture with a 224 × 224 input. The downstack section of the U-Net was a VGG16 CNN pre-trained with the ImageNet dataset, fine-tuned with the training subset. The training used random horizontal and vertical flips as data augmentation. A mean IoU of 0.675 (±0.030 std) and mean accuracy of 0.865 (±0.020 std) were obtained. Conclusion These preliminary results demonstrate the feasibility of DL-powered models for automatic segmentation of premalignant and incipient malignant lesions. The induced model can be a reliable, fast, and non-invasive screening tool for cancer detection. To explore the usage of Deep Learning (DL) induced models for automatic segmentation of premalignant and incipient malignant lesions on photographic images. A dataset of 308 clinical images from three institutions was used to design, train, and evaluate DL-based models. For each image, ground-truth annotation was performed by three experts and combined via union of the labelled areas, thus minimizing false negatives. The dataset was split into two subsets, with 246 training and 62 test images, with 10-fold cross-validation being applied to the first subset. The experimental results were evaluated using mean pixel-wise Intersection Over Union (IoU). The best performing model was a U-Net architecture with a 224 × 224 input. The downstack section of the U-Net was a VGG16 CNN pre-trained with the ImageNet dataset, fine-tuned with the training subset. The training used random horizontal and vertical flips as data augmentation. A mean IoU of 0.675 (±0.030 std) and mean accuracy of 0.865 (±0.020 std) were obtained. These preliminary results demonstrate the feasibility of DL-powered models for automatic segmentation of premalignant and incipient malignant lesions. The induced model can be a reliable, fast, and non-invasive screening tool for cancer detection.
Deep-learning enabled single-shot 3D feature detection in fringe projection profilometry

Reliably detecting or tracking 3D features is challenging. It often requires preprocessing and filtering stages, along with fine-tuned heuristics for reliable detection. Alternatively, artificial intelligence-based strategies have recently been proposed; however, these typically require many manually labeled images for training. We introduce a method for 3D feature detection by using a convolutional neural network and a single 3D image obtained by fringe projection profilometry. We cast the problem of 3D feature detection as an unsupervised detection problem. Hence, the goal is to use a neural network that learns to detect specific features in 3D images using a single unlabeled image. Therefore, we implemented a deep-learning method that exploits inherent symmetries to detect objects with few training data and without ground truth. Subsequently, using a pyramid methodology of rescaling each image to be processed, we achieved feature detections of different sizes. Finally, we unified the detections using a non-maximum suppression algorithm. Preliminary results show that the method provides reliable detection under different scenarios with a more flexible training procedure than other competing methods.
Quasi-calibration method for digital fringe projection system

This research presents a novel method for calibrating a camera-projector 3D reconstruction system. While the digital fringe projection system is the representative 3D reconstruction method using active illumination, many researchers are still struggling with the complex projector calibration process. To overcome this complexity, the novel approach uses the concept of auxiliary camera to assist the calibration process by adding one more camera only for calibration procedures. Based on the 3D geometry reconstructed using phase-based stereo matching algorithm, the 3D geometry can be defined as the functions of the absolute phase, by building polynomial equations. Experimental results demonstrate that this method presents the same quality of 3D reconstruction resolution, guaranteeing the simplicity of the calibration process.
Pengaruh Media Kartu Kata Bergambar terhadap Keterampilan Membaca Permulaan Siswa Kelas II SDN 07 Sungai Raya

The use of media at the elementary school level is important. Given that the age of elementary school students is included in the concrete operational stage, the use of media is expected to optimize learning activites. The attractiveness of a media can be the attraction of the media itself. Utilization of media in learning can help inmprove student concentration. The word card is a media in the from of a card in which there are pictures and words that match the picture. Word cards with pictures will make it easier to read the beginning. Word card media is very fun learning and also makes children creative and easy to read. The success of reading learning activities through word cards is proven to improve reading in children. The purpose of this study was to determine the effect of using word card on the learning outcornes of early reading for grade II student at SDN 07 Sungai Raya. This study uses research and development methods (Research and Development) by adapting the Sukmadinata model, the method used is document recording and interviews which are then analyzed using qualitative descriptive methods.
Challenges and opportunities in pixel-wise calibration methods for structured light systems

Improving the accuracy of structured light calibration methods has led to the development of pixel-wise calibration models built on top of conventional pinhole-camera models. Because phase encodes depth and transversal information, the pixel-wise methods provide high flexibility to map phase to XYZ coordinates. However, there are different approaches for producing phase-to-coordinate mapping, and there is no consensus on the most appropriate one. In this study, we highlight the current limitations, especially in depth range and accuracy, of several recent pixel-wise calibration methods, along with experimental performance verifications. The results show that there are opportunities for further improving these methods to overcome existing limitations from conventional calibration methods, particularly for low-cost hardware
Live laparoscopic video retrieval with compressed uncertainty

Searching through large volumes of medical data to retrieve relevant information is a challenging yet crucial task for clinical care. However the primitive and most common approach to retrieval, involving text in the form of keywords, is severely limited when dealing with complex media formats. Content-based retrieval offers a way to overcome this limitation, by using rich media as the query itself. Surgical video-to-video retrieval in particular is a new and largely unexplored research problem with high clinical value, especially in the real-time case: using real-time video hashing, search can be achieved directly inside of the operating room. Indeed, the process of hashing converts large data entries into compact binary arrays or hashes, enabling large-scale search operations at a very fast rate. However, due to fluctuations over the course of a video, not all bits in a given hash are equally reliable. In this work, we propose a method capable of mitigating this uncertainty while maintaining a light computational footprint. We present superior retrieval results (3%–4% top 10 mean average precision) on a multi-task evaluation protocol for surgery, using cholecystectomy phases, bypass phases, and coming from an entirely new dataset introduced here, surgical events across six different surgery types. Success on this multi-task benchmark shows the generalizability of our approach for surgical video retrieval.
Does it Exist? LibertyWorks and Australia’s Shrinking Implied Freedom of Political Communication

In this article we examine the recent High Court decision in LibertyWorks Inc v Commonwealth of Australia (‘LibertyWorks’). We argue that this decision fails to properly apply the implied freedom of political communication (the ‘implied freedom’) in four principle ways. First, the majority judgments do not properly grapple with the complexities of legislative purpose. The Foreign Influence Transparency Scheme Act 2018 (Cth) (‘FITS Act’) targets foreign influence rather than just covert and corrupt foreign interference, yet the judgements blur this important distinction throughout. If the true legislative purpose of the FITS Act is to increase transparency to prevent foreign influence, this purpose is illegitimate and incompatible with Australia’s representative government, so the FITS Act should fail on this basis. Alternatively, if the true purpose is to increase transparency to prevent foreign interference, that legislative purpose is not served by the scheme, because it is ineffective in achieving its aim. Second, the majority in LibertyWorks do not properly assess the legislative breadth of the FITS Act, including the wide range of actors to which the obligations to register relate. This, we suggest, imposes a broad and, arguably, unbalanced burden on free debate. Third, the majority do not pay sufficient regard to the different tiers of registration, which create not only public, but also private (and therefore unjustified) catalogues of information. Finally, Steward J’s constitutionally conservative (yet paradoxically activist) claim that the implied freedom may not exist appears to invite a future constitutional challenge to the implied freedom. We argue his Honour may be right, but not for the reasons he elucidates. In our view, the implied freedom was essentially non-existent in this case because it was not robustly applied by the High Court.
APPLYING WEBBING STRATEGY IN TEACHING READING COMPREHENSION

The research aims to determine whether Applying Webbing Strategy can improve students’ reading comprehension grade Eight students of SMPN 1 Sojol. This research applied a quasi-experimental research design. The research sample was Eight D as the experimental group, which consisted of 25 students, and Eight A as the control group, which consisted of 27 students. The instrument used in collecting the data were pre-test and post-test. The treatment was given six times. The data were analyzed statistically to determine the difference between the pre-test and post-test. As a result of the study, the mean score of the experimental group taught by applying webbing strategy was improved compared to the control group taught without applying webbing strategy. In other words, applying webbing strategy can improve the reading comprehension of grade eight students of SMPN 1 Sojol.
IDENTIFYING STUDENTS' PERCEPTION IN LEARNING ENGLISH VOCABULARY THROUGH FAST VOCABULARY GAME

This research aims to discover students' perception of learning English vocabulary through Fast Vocabulary Game. A qualitative approach was used in this research. The subject was the grade VII students at SMPN 2 Dapurang Pasangkayu who have experienced using the Fast Vocabulary Game. The instruments used were questionnaires and interview questions. There were nine questions in the questionnaires filled out by five respondents. Two informants answered five questions in the interview. The result indicates that students' perception of learning English vocabulary through Fast Vocabulary is dominantly positive. Learning English vocabulary using the game is easy, enjoyable, fun, and accessible as long as an internet connection is available. The vocabulary that is available in the game is easy to understand. Fast vocabulary game makes it easier for students to learn and memorize new vocabulary.
ANALYSIS OF GRAMMATICAL ERRORS IN USING SIMPLE PRESENT TENSE IN DESCRIPTIVE TEXT

This research aims to find out the kind of error frequently made by the students in using simple present tense in descriptive text and the source of errors made by the students. This research is qualitative descriptive. The subject was selected by using purposive sampling. The subject of the research was the eighth grade students of SMP Negeri 9 Palu consisting of 30 students. The techniques for collecting the data were tests and questionnaires. The researcher used the technique of analyzing the data from Ellis and Barkhuizen. The steps to analyze the data were collecting data, identification, description, explanation, and evaluation. The result indicates four types of errors namely omission, addition, misformation, and misordering. The most frequent error made by the student was omission and the least frequent error was misordering. The interlingual transfer was the highest gradation of possible source of students' error in using simple present tense.
Data-Driven Urban Research Tools Within Design Education: New Perspectives on Complex Urban Data and Processes

The rapid development of information and communication technologies and their increasing integration within the built environment have enabled a wide range of research opportunities grouped under a new discipline of urban science.The use of Information and Communication Technologies (ICT) in urban design education, however, has mostly focused on advances in computing and data science tools, while complex urban issues such as sustainability, health and social development call for more integrated approaches to urban research and design.This paper reports on the development of a toolkit of analytical methods for urban studies, introduced within a postgraduate research and design studio.The enhanced processes of teaching and learning explored multi-source urban data and geospatial analysis, to help students to better understand site conditions, urban development patterns and resident behaviour, gaining a deeper understanding of the social processes that constitute urban neighbourhoods.The data-driven analysis methods helped obtain evidence-based insights into public space usage, reflecting on different stakeholder interests and their influence on the material and immaterial structures of the city.The project shows how data-based urban design pedagogy can respond to social science issues, to bridge the gap between urban research and planning practice and support the conception of more sustainable urban design outcomes.
ANALYSIS OF TEACHING METHODS USED BY JUNIOR HIGH SCHOOLS ENGLISH TEACHERS

The purpose of this research is to find the teaching methods of English teachers at SMP Negeri 02 Dapurang. This research used a qualitative research design. Observation and interviews were the data collection techniques. The subject was the English teachers at SMP Negeri 02 Dapurang. Based on the results of the observation and interview, it was found that the methods used by the English teachers are the Audiolingual method and the Eclectic method in teaching English. Because these methods are considered suitable and easy to apply and understand by students who have a low level of English competence, especially at SMP Negeri 02 Dapurang. In the Audiolingual method, the teacher applied drill repetition or word repetition technique, and for the application of the Eclectic method, the teachers used dialogue conversation, reading aloud, and word and sentence translation
INVESTIGATING TEACHERS’ STRATEGIES IN TEACHING VOCABULARY

The purposes of the research are two folds: to find out the vocabulary teaching strategies used by the English teachers at SMP Negeri 6 Palu, and to identify the reasons of implementing the strategies in the classroom. This research used qualitative research design. The participants of this research were three English teachers. In collecting the data, the instruments used were observation and interview. The data were analyzed by using descriptive analysis. The findings showed that there were some teaching strategies used by the teachers in teaching vocabulary. The strategies used by the English teachers in teaching vocabulary were: (1) the use of game like guessing game and dictation (by relying on learning topic), (2) reading textbook, (3) translation (by looking up dictionary), and (4) asking question. The main reason of implementing teaching strategies was, they wanted to make the students active in the class. The basic consideration as an active facilitator in choosing the teaching strategies was to make classroom atmosphere that can make the students interact freely with each other in achieving learning goals