Reviewerly/exHarmony huggingface dataset:
Checkerboard-Artifact-Free Image-Enhancement Network Considering Local and Global Features

In this paper, we propose a novel convolutional neural network (CNN) that never causes checkerboard artifacts, for image enhancement. In research fields of image-to-image translation problems, it is well-known that images generated by usual CNNs are distorted by checkerboard artifacts which mainly caused in forward-propagation of upsampling layers. However, checkerboard artifacts in image enhancement have never been discussed. In this paper, we point out that applying U-Net based CNNs to image enhancement causes checkerboard artifacts. In contrast, the proposed network that contains fixed convolutional layers can perfectly prevent the artifacts. In addition, the proposed network architecture, which can handle both local and global features, enables us to improve the performance of image enhancement. Experimental results show that the use of fixed convolutional layers can prevent checkerboard artifacts and the proposed network outperforms state-of-the-art CNN-based image-enhancement methods in terms of various objective quality metrics: PSNR, SSIM, and NIQE.
Improving children’s language skills through online learning during covid-19 pandemic

The present study was done to find out the children’s language skill improvement in online learning during Covid-19 pandemic at TK IT Bunga Harapan. In order to maintain children’s language development amid the pandemic, online learning was implemented. Qualitative approach was applied. We involved 12 preschool students as the participants of the study. The data were collected through observation, interview, and documentation. Children’s language skill improvement in TK Bunga Harapan was proven by the decrease in number of students suffering from speech delay, from 4 students (25%) to 1 student (6.25%) out of 12 students. This improvement was noticed after teachers conducted online learning activities that provided children with experience to make videos stimulating them to communicate and speak. With regard to the assessment, teachers used anecdotal notes by observing the children’s development through videos they made.
Keanekaragaman dan Kemelimpahan Tumbuhan Paku di Cagar Alam Donoloyo sebagai Bahan Pengembangan Multimedia Interaktif Biologi di SMA

This study aims 1) to determine the index of species abundance, characteristics, morphology of ferns in the nature reservearea of Donoloyo, Watusomo, slogohimo 2) to obtain an alternative source of learning biology in high school about the abundance of ferns based on interactive multimedia in the form CD 3) to find out the multimedia validation of interactive learning biology of ferns. This research method is descriptive quantitative exploration, the instrument used is a direct observation technique with the quadrat method and validation sheet. The results of the study showed that in the Donoloyo nature reserve, 12 species of ferns were found in 2 classes and 5 families which showed in the medium category. Observations of ferns are used as learning resources in the form of interactive multimedia learning. The quality of interactive media assessed by 3 validators namely material experts, media experts, and biology teacher get a percentage &gt;80% (very valid) interactive multimedia is ready to be used as a learning media for biology in high school.
About Creativity in Physics and Prospects for Collective Scientific Work

Solving many challenges in dealing with complexity requires a collective effort, including in interdisciplinary projects. Two types of problems arise here, one of which is associated with the development of a special methodology and a general interdisciplinary conceptual and functional language of communication between different disciplines, which is facilitated by the use of the languages of mathematics, the systems approach and synergetics, but not only; the second problem of collective creativity is the development of a unified joint style of generating new information, which is largely associated with the implicit knowledge that is born in scientific schools. In this regard, we consider the scientific schools of theoretical physics and large communities of mega-projects and intelligent mega-machines in high-energy physics, primarily using the example of the “Golden Ageˮ of the history of Russian science in the 80s of the last century in Protvino. Their connection with the social climate, political expectations, the worldview of scientists, the formation of a physicist in the process of education and life in a research team is considered. International trends in collective creativity and nation-al features of the existence of scientific schools are discussed in the context of an international mega-project to create a standard model of elementary particle physics. Three types of theorizing are considered, which date back to the creators of modern science, but are reproduced in each era, in each successive international mega-project. They are based on various forms and combinations of the dominance of formal-logical and empirical thinking. The question about the prospects for theoretical research in the digital era of artificial intelligence is raised.
Application of a Model-free ANN Approach for SHM of the Old Lidingö Bridge

&lt;p&gt;This paper explores the decision making problem in SHM regarding the maintenance of civil engineering structures. The aim is to assess the present condition of a bridge based exclusively on measurements using the suggested method in this paper, such that action is taken coherently with the information made available by the monitoring system.&lt;/p&gt;&lt;p&gt;Artificial Neural Networks are trained and their ability to predict structural behaviour is evaluated in the light of a case study where acceleration measurements are acquired from a bridge located in Stockholm, Sweden. This relatively old bridge is presently still in operation despite experiencing obvious problems already reported in previous inspections. The prediction errors provide a measure of the accuracy of the algorithm and are subjected to further investigation, which comprises concepts like clustering analysis and statistical hypothesis testing. These enable to interpret the obtained prediction errors, draw conclusions about the state of the structure and thus support decision making regarding its maintenance.&lt;/p&gt;
The Perceptions of English Students' Reading Strategies at University Level

Reading needs an appropriate strategy to get out the point of the passage effectively. This research aimed to investigate the English students’ perceptions of their reading strategies at PGRI Wiranegara University. The purpose of this research was to describe the students’ perception about reading strategies and finding the highest and the lowest scores of reading strategies. Type of this research was descriptive quantitative research. The research subjects were English students at PGRI Wiranegara University Pasuruan. In this research, the researcher used modified version of Survey of Reading Strategies (SORS) by Mokhtari and Sheorey (2002) which presented 35 statements of reading strategies, while the method of analyzing data used Likert scale and SPSS. The result of this research showed that most students were accustomed to apply reading strategies presented in the questionnaire form. Besides, this strategy “When text becomes difficult, I read slowly and carefully” was the highest score, and “I analyze the structure early to help me in understanding” was the lowest score.
New life for old cellular pathology: a transformational approach to the upcycling of historic e-pathology records for contemporary clinical uses

Aims Cellular pathology (‘e-pathology’) record sets are a rich data resource with which to populate the electronic patient record (EPR). Accessible reports, even decades old, can be of great value in contemporary clinical decision making and as a resource for longitudinal clinical research. The aim of this short paper is to describe a solution in a major UK University Hospital which gives immediate visibility and clinical utility to 30 years of e-pathology records Methods Over the past decade, we have created a timeline structured and iconographic data framework for the ‘whole-of-life’ visualisation of the entirety of an EPR. We have enhanced this interface with the sequential extraction of 373 342 e-pathology reports from legacy Ferranti (1990–1997) and Masterlab (1997–2004) files. They have been uploaded into our SQL file servers, following appropriate data quality and patient identity reconciliation checks. Results We have restored a large repository of previously inaccessible e-pathology records to clinical use and to immediacy of access as a foundation element of our timeline structured EPR. This process has also allowed us to populate and validate an EPR-integral breast cancer data system of 20 000 cases with e-pathology records dating back to 1990. Conclusions The revitalisation of old e-pathology reports into a timeline structured EPR creates preserves and upcycles the investment in pathology reporting which is otherwise progressively lost to clinical use. E-pathology records provide reliable, life-long evidence of critical transition points in individual lives and disease progression for clinical and research use, when they can be instantly accessed.
A Survey for Hybrid Density-Based Data Clustering Algorithms

The clustering algorithms importance has increased with the continuous increase of the data size collected from different sources every day. Clustering has been used in various applications for extracting and analyzing patterns from the data. However, data clustering is facing many challenges, which the researchers try to solve via different methods. In the paper, we present a study of a hybrid density-based combined with pother clustering methods for data clustering and other applications. We have analyzed some of the states of art methods and point out the strength and weaknesses points. Finally, we discuss some of the future research directions in this field.
LibGuides: A libguide for Parents, Teachers and Librarians: Reading list for K-12

Diversity in Children’s Literature Libguide This list offers some recommendations for parents and young readers.
Comparative evaluation of thin smear, thick smear and antigen detection test in the diagnosis of malaria

Introduction: Malaria is a serious and sometimes fatal disease caused by a parasite that commonly infects a certain type of mosquito which feeds on humans. There are many Techniques available for Detection of malarial parasite from the blood.Objective: The objective of this study is to determine efficacy of different methods for detection of malaria parasite.Materials and Method: Total 5344 blood samples that came to pathology laboratory are investigated for malarial parasite by different technique like Thin smear and Thick smear that is stained by Gimsa stain and Rapid diagnostic test (RDT) for detection of malarial parasite.Result: Among total 5354 samples were collected 305(5.7%) were found to be positive for malaria. Of the positive samples 300(98.36%) were positive by Thick smear, 221(72.45%) were positive by Thin smear and 281(92.13%) were positive by Antigen detection method. Among them 211(69.18%) cases of P.Vivex, 77(25.24%) cases of P.falciparum and 17(5.6%) had a mixed infection. Sensitivity of Thick smear is 98.36%, Thin smear 72.45% and for antigen detection method it was 92.13%.Conclusion: Detection of malarial parasite can be best done by combination of Antigen detection method and by Microscopic Examination of Thick smear.Keywords: Thick smear, Rapid test for antigen detection Sensitivity, Plasmodium Vivex, Plasmodium falciparum, Thin smear
KAJIAN RISIKO BANJIR SUNGAI KAMPAR TERHADAP LINGKUNGAN DAN SOSIAL - EKONOMI MASYARAKAT DI KECAMATAN KAMPAR KABUPATEN KAMPAR PROVINSI RIAU

The impact of flooding will increase with the occurrence of climate change and population growth in an area, one of which is on the banks of the Kampar River, Kampar District, Kampar Regency. Then needed efforts to prevent flooding and overcome it. One of them is by analyzing flood risk using spatial data analysis with the help of ArcGIS technology and the application of HEC-RAS to provide an overview the level of flood danger, the level of vulnerability, the level of flood risk and preventive measures that can be done. The results showed that the area of flood inundation occurred in residential areas, rice fields, and plantation. Based on the results of the analysis of the hazard level in 5 times and the total level of vulnerability, obtained 5 levels of risk according to the time period, namely, a very low risk level of 91.7%, low 4.9%, moderate 0.3%, high 0.4%, and very high 2.8% of total area of research. The level of risk is very high spread evenly around the riverbanks of Kampar District. one of the structural efforts in reducing the risk of flooding in Kampar Subdistrict are the making of dyke such as in Pulau Sarak and Rumbio Villages, provision of permanent shelter, and periodic physical maintenance of hydropower reservoirs in the dry season. Furthermore, non-structural efforts such as making evacuation route maps, changing land use patterns, procurement of Kotopanjang water level information boards, and the importance of enforcing regulations not to throw garbage into the river.
Psychological and pedagogical conditions for the formation of a culture of interethnic student interaction

The article discusses the problems to besolved under the conditions of humanization of the educational process, the problem of interethnic interaction of students and the development of the creative potential of subjects of pedagogical relations.
An Investigation of Dynamic Feature Selection Methods Applied to Classifier Ensembles

The aim of this paper is to investigate the use of Dynamic Feature Selection in classifier ensembles, aiming at improving its diversity and the performance of these systems. In order to do that, four dynamic feature selection techniques are proposed and investigated in this paper. Therefore, an empirical analysis will be conducted, using different selection rates and ensemble sizes. Additionally, a comparative analysis will be conducted, with existing ensemble generation methods.
Building, Encoding, and Annotating a Corpus of Parliamentary Debates in XML-TEI: A Cross-Linguistic Account

This data paper introduces an integrative and comprehensive method for the linguistic annotation of parliamentary discourse. Initially conceived as a documentation for a specific and rather small-scale research project, the annotation scheme takes into account national specificities and is geared to proposing an annotation scheme that is both highly standardised and adaptable to other research contexts. The paper reads as a specific application of the Text Encoding Initiative (TEI) framework applied to a subset of parliamentary debates. This strategy has two main applications: first, to develop a model for the encoding of parliamentary corpora by providing a systematic way of annotating both elements within the text (e.g. turns, incidents, interruptions) and the metadata associated with it (e.g. variables pertaining to the speaker or the speech event); second, to provide a cross-linguistic empirical basis for further annotation projects.
Photonic multipartite entanglement : Generation, measurement and applications

We are currently witnessing a fundamental change in the field of quantum information, whereby protocols and experiments previously performed in university labs are now being implemented in real-wor ...
Progressive medical image annotation with convolutional neural network-based interactive segmentation method

Deep learning-based segmentation algorithms for medical image require massive training datasets with accurate annotations, which is costly since it takes much human effort to manually labeling from scratch. Therefore, interactive image segmentation is important and may greatly improve the efficiency and accuracy of medical image labeling. Some interactive segmentation methods (e.g. Deep Extreme Cut and Deepgrow) may improve the labeling through minimal interactive input. However these methods only utilize the initial manually input information, while existing segmentation results (such as annotations produced by nonprofessionals or conventional segmentation algorithms) cannot be utilized. In this paper, an interactive segmentation method is proposed to make use of both existing segmentation results and human interactive information to optimize the segmentation results progressively. In this framework, the user only needs to click on the foreground or background of the target individual on the medical image, the algorithm could adaptively learn the correlation between them, and automatically completes the segmentation of the target. The main contributions of this paper are: (1) We adjusted and applied a convolutional neural network which takes medical image data and user's clicks information as input to achieve more accurate segmentation of medical images. (2) We designed an iterative training strategy to realize the applicability of the model to deal with different number of clicks data input. (3) We designed an algorithm based on false positive and false negative regions to simulate the user's clicks, so as to provide enough training data. By applying the proposed method, users can easily extract the region of interest or modify the segmentation results by multiple clicks. The experimental results of 6 medical image segmentation tasks show that the proposed method achieves more accurate segmentation results by at most five clicks.
THE ECLECTIC USE OF THE PROCESS AND THE GENRE APPROACHES THROUGH THE IMPLEMENTATION OF FOURSQUARE TECHNIQUE IN TEACHING EFL WRITING

This paper proposes a technique, namely Four Square, that the teachers can implement as an answer to the basic challenge in teaching English as a Foreign Language (EFL) writing, that is to shape the learners to be more creative and productive in writing. The introduction of Four Square, mainly aims at the learners’ ability in creating written texts which are grammatically accurate and functional in social context. The significant characteristic of Four Square to the development of learners’ writing skill is the fact that it applies the process and genre approaches at the same time. The two approaches are necessary in making the learners more thoughtful in the sense of their creativity in expressing ideas and of their understanding of readership. In Four Square, the learners consider the steps of writing; exploring idea, prewriting, organizing, writing first draft, revising draft, and producing the final copy, as well as consider the readership; the audience, purpose, and social function of the writing they produced. Thus, Four Square will bring the learners to the sufficient and effective path of writing process and will enable them to write more meaningful to the readership.
MENINGKATKAN KETERAMPILAN MEMBACA PEMAHAMAN MELALUI PENGGUNAAN PEMBELAJARAN METODE SQ3R PADA SISWA KELAS V SD NEGERI 2 MALINO

This study aims to improve reading comprehension skills of fifth grade students of SD Negeri 2 Malino through the use of the SQ3R learning model with reference to 2 criteria, namely student learning outcomes and observation of student and teacher activities. This type of research uses classroom action research, with a design activity of 2 meetings with 2 cycles. Data collection techniques used were tests and observations, then analyzed using percentage statistics. The percentage of completeness obtained is in the first syllable of the Survey stage 57.69% (C), the Questions stage 53.84% (K), the Read stage 53.84% (K), the Recall stage 46.15% (K), and the Reviuw 30.76% (K). Meanwhile, in cycle II the percentage of completeness obtained is the Survey stage 84% (B), the Questions stage 84.61% (B), the Read stage 76.92% (B), the Recall stage 76.92% (B), and the Reviuw 84.61% (B). The results showed that learning to read comprehension using the SQ3R model has shown a significant improvement so it is appropriate to use it in reading comprehension learning material in class V SD Negeri 2 Malino. Keywords: Reading comprehension, SQ3R
Face Tracking and Expression Detection

Just in case you thought that the built-in Augmented Reality functionality that ARKit has to offer wasn’t amazing enough, you won’t believe what you can do with face tracking and facial expression detection. By using the front-facing camera, it can track multiple faces and even the expressions on them.
Online Dimensionality Reduction

In this thesis, we investigate online dimensionality reduction methods, wherethe algorithms learn by sequentially acquiring data. We focus on two specificalgorithm design problems in (i) recommende ...
مبادئ الجودة الشاملة وتطبيقاتها فى الکتاب والسنة (جودة الصلاة أنموذجاً)

مفهوم الجودة من السمات الأساسية للعصر الحاضر حيث اتبع استخدامه فى کل المجالات وأصبح العالم کله يعتنق مفهوم الجودة الشاملة، وکان الإسلام الرائد الأول فى وضع الأسس والمبادىء التى تدعو إلى اتقان العمل؛ لأن جودة العمل واتقانه صفة ملازمة لأى عمل يقوم به المسلم ليکون عمله متقبلا عند الله تعالى، ويهدف البحث الحالى إلى تأصيل مفهوم الجودة الشاملة وتطبيقاتها فى القرآن الکريم والسنة النبوية المطهرة لمفاهيم الجودة الشاملة العشرة وهى ( المطابقة ، التحسين المستمر، الرقابة، القيادة الفاعلة، العمل الجماعى، قيمة الوقت، تحقيق رضا المستفيد، التدريب، التحفيز، التغيير ) ، مع التطبيق على فريضة الصلاة لأهميتها فى حياة المسلم وآخرته؛ وذلک لإثبات نظرة الإسلام المتکاملة والمتوازنة للکون والحياة والإنسان واستيعابه لحياة الأفراد والمجتمعات بجميع جوانبها العلمية والعملية ، وسبق المنظور الإسلامى لمفهوم الجودة للمفهوم الغربى الذى أصبح من أهم النظريات الإدارية فى القرن العشرين. Abstract :   The concept of quality is one of the basic features of the present era, as it followed its use in all fields and the whole world became embracing the concept of total quality, and Islam was the first pioneer in laying the foundations and principles calling for the perfection of work. Because the quality and mastery of work is an inherent characteristic of any work performed by a Muslim so that his work is acceptable to God Almighty, and the current research aims to establish the concept of total quality and its applications in the Holy Qur’an and the Sunnah of the Prophet that purifies the ten concepts of comprehensive quality which are (conformity, continuous improvement, control, effective leadership, action. Collective, time value, customer satisfaction, training, motivation, change)With the application to the obligatory prayer of its importance in the life and hereafter of the Muslim; This is to prove the integrated and balanced view of Islam of the universe, life and man and its understanding of the lives of individuals and societies in all its scientific and practical aspects, and preceded the Islamic perspective of the concept of quality of the Western concept, which became one of the most important administrative theories in the twentieth century   Keyword: overall quality, prayer, conformity, training, motivation, value of time.
What will happen to the internationalization of higher education and student mobility after COVID-19?

Internationalization is a process that is carried out in higher education institutions with different objectives and with its implementation it seeks to integrate an international and intercultural perspective in the functions of universities;This process is made up of various strategies, and among the best known is student mobility In recent decades, internationalization has become more relevant, however, it is a process that still lacks a comprehensive understanding and is carried out in accordance with the intentions and resources of the institutions With the arrival of the COVID-19 disease, internationalization and student mobility are facing an uncertain future, faced with the urgency of solving other needs in institutions, which is why other ways of implementing it are being explored