Reviewerly/exHarmony huggingface dataset:
Patch Level Segmentation and Visualization of Capsule Network Inference for Breast Metastases Detection

Capsule Networks are becoming popular for developing AI-guided medical diagnostic tools. The objective of this paper is to carve out a strategy to solve dual problems of classification and segmentation of metastatic tissue regions in one single pipeline. To accomplish this, an attempt has been made in this paper to utilize capsule networks with variational Baye’s routing to classify normal and metastatic tissue regions from breast cancer whole slide images. Thereafter, a high-level segmentation of the metastatic tissue region has been carried out using the classified patches. The results obtained with a set of 75,000 patches show that patch-level segmentation is an efficient method to delineate metastatic regions. In the prospect of end-users, visualization of results plays a significant role in selecting the appropriate method for their applications. Capsule networks mimic the way the human brain works. For long, it has been the demand from clinicians that the algorithms used for the automatic classification of cancer pathology should be interpretable. Thus, in clinical practice, such a method will be more acceptable. The efficient region segmentation would aid clinicians in readily demarcating the area of interest and the area of most relevance.
“K-Education” during the Pandemic

Unlike some countries where COVID-19 broke out in the middle of the semester, South Korea, where the new school year starts in March, had more than 1000 confirmed cases before the start of the new academic year. As a result, the entire semester shifted to virtual learning. This chapter examines online schooling in South Korea during the pandemic: How digital-smart South Korean educators collaborated to turn the pandemic crisis into an opportunity; teacher influencers who have actively shared their educational content and voiced their opinions on educational policy; and the advantages and disadvantages of the centralized education system that emerged during the crisis. Authors also argue the need for media and digital literacy competency among policymakers, so that they fully understand and can creatively solve the new challenges in this era of digital transformation.
Corrigendum: Qia’erdunbasixi Fe-Cu deposit in Sawur, Xinjiang: A case study of skarn deposit hosted by volcanic rock

CORRECTION article Front. Earth Sci., 04 August 2022Sec. Economic Geology https://doi.org/10.3389/feart.2022.981906
An Iootfuzzer Method for Vulnerability Mining of Internet of Things Devices based on Binary Source Code and Feedback Fuzzing

With the technological progress of the Internet and 5G communication network, more and more Internet of Things devices are used in it.Limited by the cost, power consumption and other factors of Internet of Things devices, the systems carried by the Internet of Things devices often lack the security protection provided by larger equipment systems such as desktop computers.Because the current personal computers and servers mostly use the x86 architecture, and the previous research on security tools or hardware-based security analysis feature support is mostly based on the x86 architecture, the traditional security analysis techniques cannot be applied to the current large-scale ARM-based and MIPS-based Internet of Things devices.Based on this, this paper studies the firmware binary program of common Linux-based Internet of Things devices.A binary static instrumentation technology based on taint information analysis is proposed.The paper also analyzes how to use the binary static instrumentation technology combined with static analysis results to rewrite binary programs and obtain taint path information when binary programs are executed.Firmware binary fuzzing technology based on model constraints and path feedback is studied to cover more dangerous execution paths in the target program.Finally, iootfuzzer, a prototype vulnerability mining system for firmware binaries of Internet of Things devices, is used to test and analyze the two technologies.The results show that its fuzzing efficiency for Internet of Things devices is better than other fuzzing technologies such as boofuzz and Peach 3. It can fill in some gaps in the current security analysis tools for the Internet of Things devices and improve the efficiency of security analysis for Internet of Things devices, which contributes to the field through automated security vulnerability detection systems.
Characteristics of Kim Hyeon-song’s Myeongnang Funny story Book(1948) and the historical significance of the funny story

Kim Hyeon-song (1909-1988) wrote many plays and novels, and was active as a playwright. Published in 1948, Myeongnang Funny story Book is a work that has not received much attention due to his achievements.&#x0D; During the Japanese colonial period, two playbooks were published, and Yadam, a magazine specialized in storytelling, was acquired and operated.&#x0D; The fact that he took charge of the monthly Yadam and operated it is closely related to the publication of the fire extinguisher. Since there is no preface to this book, it is unknown what intention Kim Hyun-song intended to publish and catalog this book. The purpose of this study is to clarify the historical position and meaning of Myeongnang Funny story Book by illuminating it together in the relationship between the monthly Yadam and the existing Yadam collection.&#x0D; The characteristic of Myeongnang Funny story Book is that, out of the 66 narratives, there are 34 stories related to the government, centered on the king, accounting for 50%. Second, most of the stories divide the times and clearly state the names of people and places. As a result, since the story of a real person occupies the majority, it is possible to compare and analyze the factual record and anecdote of that person. Third, in Yadam, a legend section was created to distinguish it from yadam. In Myeongnang Funny story Book, ordinary narratives of unspecified people like ordinary people are introduced in a fun way. In addition, in this process, in order to make unspecified people into concrete historical figures, we are pursuing historical realism by assigning specific spaces and human names.&#x0D; The name ‘Myeongrang’ in Korean Laugh History is very innovative.&#x0D; This is because there are very few collections of digestions called ‘Cheerful’ that give ‘joyful and lively’ laughter. As Kim Hyeon-song was exposed to ‘Yadam’, he recorded the stories of historical figures in legends and folktales, and became deeply involved in the publication of magazines.
K-Means Clustering Algorithm to See the Correlation of Tahfidz Activities with Student’s Learning Outcomes

&lt;p&gt;Computer technology is currently used as a tool to support educational activities and assist teachers in quickly, precisely, and accurately processing student data. The Qur'an has been memorized by many students at MAN 1 Bukittinggi as a result of long-running Tahfidz activities, which have also helped them stand out in teaching and learning evaluation meetings held at the end of each semester. In conveying the activities which take place in the field, the Tahfidz teacher has not used real data and certainly will not describe the real state of Tahfidz activity and student memorization. The solution to this problem is applying the Data Mining technique for grouping data of Tahfidz activity and student learning outcomes, in order to discover the correlation between the two and whether there is any effect or not. The data processed in this research is Tahfidz activity data and student learning outcomes data for class XI (eleven) sourced from piles of data, the data used are Tahfidz memorization data, Tahfidz scores, and student grades at MAN 1 Bukittinggi. The data mining development methodology used in this research is Cross-Industry Standart Process for Data Mining&lt;em&gt; &lt;/em&gt;(CRIPS-DM)&lt;em&gt;. &lt;/em&gt;The results of the research by applying the K-Means Clustering algorithm has produced two clusters. The first cluster shows the characteristic that Tahfidz activity doesn’t have significant effect on student learning outcomes. The second cluster shows the characteristics that Tahfidz activity has a significant effect on student learning outcomes.&lt;em&gt; &lt;/em&gt; The data from the clustering of each cluster is then analyzed and the results of the cluster analysis are used by the school as a consideration in evaluating Tahfidz activity and learning outcomes whether it has been effective or not at MAN 1 Bukittinggi.&lt;/p&gt;
Experimental demonstration of a fast calibration method for integrated photonic circuits with cascaded phase shifters

With the development of research on integrated photonic quantum information processing, the integration level of the integrated quantum photonic circuits has been increasing continuously, which makes the calibration of the phase shifters on the chip increasingly difficult. For the calibration of multiple cascaded phase shifters that is not easy to be decoupled, the resources consumed by conventional brute force methods increase exponentially with the number of phase shifters, making it impossible to calibrate a relatively large number of cascaded phase shifters. In this work, we experimentally validate an efficient method for calibrating cascaded phase shifters that achieves an exponential increase in calibration efficiency compared to the conventional method, thus solving the calibration problem for multiple cascaded phase shifters. Specifically, we experimentally calibrate an integrated quantum photonic circuit with nine cascaded phase shifters and achieve a high-precision calibration with an average fidelity of 99.26%.
Pre-Service Teachers' Perceptions of Their Digital Feedback Literacy Development Before and During the Pandemic

Feedback is central to successful learning, but digital feedback still appears to be underutilized by teachers.As a result of the Covid-19 pandemic, its relevance for teacher education has increased, though.This paper reports on a three-year study that aimed to foster pre-service teachers' (PTs') digital feedback literacy as part of their TESOL studies.Two cohorts participated in the years before (N=29) and two at start of the Covid-19 pandemic (N=28).This way, it was possible to compare the PTs' perceptions of their digital feedback literacy development before and during the pandemic.Data were collected at various stages of the intervention through pre-, while-and post-surveys as well as the feedback videos that were created by the PTs.The different data sources were analyzed in a mixed-methods manner by means of statistical procedures and qualitative content analysis (Kuckartz & Rädiker, 2019).Through the intervention, the PTs perceived an increase in their digital feedback literacy.This was demonstrated by their heightened knowledge, positive attitudes and technological-pedagogical skills in the production of feedback videos, especially in the pandemic courses.The contribution will close with recommendations for developing dynamic digital feedback literacies among (pre-service) teachers in the future.
Designing An E-Teacher Application as A Method of Digitizing Learning in SMKN 1 Ampek Angkek

&lt;p&gt;&lt;strong&gt;ABSTRACT&lt;/strong&gt;&lt;/p&gt;&lt;p class="Abstract"&gt;An electronic teacher is an alternative form that teachers and students can use to conduct online learning. The focus of this research is to build a valid, practical, and effective research product in the form of an e-teacher application that can be used to digitize learning in the midst of the COVID-19 pandemic in SMKN 1 Ampek Angkek. This research uses research and development (RnD) methods. System development in this research refers to the waterfall model with five stages: requirements definition, system and software design, implementation and unit testing, integration and system testing, operation and maintenance. Furthermore, the product is tested with three types of product testing: validity, practicability, and effectiveness. The research results from the design of an e-teacher application to assist teachers and students in the learning process in the form of a website where teachers can add learning materials, learning tools, and exam questions. Students can also use the internet to access learning materials and take tests. The results of the validity test on 5 experts were 0.79, which was declared valid; the practicality test on 4 practitioners was 93, which was declared very practical; and the effectiveness test on 8 students was 0.79, which was declared effective. Based on the product test results, it is possible to conclude that the product of this research is worth to use in the learning process by teachers and students.&lt;/p&gt;&lt;p&gt;Tujuan perancangan aplikasi e-guru ini adalah untuk membantu guru dan siswa dalam melakukan proses pembelajaran apabila tidak bertatap muka langsuang agar pembelajaran dapat berjalan sesuai dengan yang diharapkan. Jenis penelitian yang digunakan adalah penelitian dan pengembangan (Reseacrh and Development) versi ADDIE (Analyze-Design-Develop- Impelentation-Evaluation). Model pengembangan sistem yang digunakan adalah model pengembangan sistem Waterfall dengan lima tahap, yaitu Definisi persyaratan, Perancangan sistem dan perangkat lunak, Implentasi dan pengujian unit, Integrasi dan pengujian sistem, Operasi dan pemeliharaan. Uji produk yang digunakan adalah Uji Validitas, Uji Praktikalitas, dan Uji Efektifitas. Hasil penelitian dari perancangan aplikasi e-guru untuk membantu guru dan siswa dalam melakukan proses pembelajaran yang berupa website yang mana guru dapat menambahkan materi pembelajaran, perangkat pembelajaran dan soal-soal pembelajaran. Sedangkan siswa dapat mengakses materi pembelajaran dan mengerjakan soal-soal secara online. Sedangkan, uji validitas yang terdiri dari 5 orang ahli diperoleh nilai0,79 dinyatakan valid (berdasarkan perhitungan validitas dengan formula aiken’s), uji praktikalitas yang terdiri dari 4 orang praktisi di peroleh nilai 93 yang dinyatakan sangat praktis dan untuk uji efektifitas yang terdiri dari 8 orang siswa di peroleh nilai 0,79 yang dinyatakan efektif.&lt;/p&gt;
Design of New Student Registration Information System at SMPN 3 Kecamatan Payakumbuh

&lt;p class="Abstract"&gt;In this research, the author encountered some problems with PPDB (admission of new students) in SMP N 3 Kecamatan Payakumbuh, as there was no website for new student registration. As a result, the announcement about the PPDB was announced through brochures. Sometimes, this makes a problem, such as a brochure was lost or torn. Therefore, there were obstacles to administration and information about the PPDB, it made inefficient. Another problem was that there was no data stored in the database, which made data vulnerable to lose and easily burned. Research and Development (R&amp;amp;D) with the system development model used is SDLC (System Development Life Cycle), which consists of 5 stages, namely Communication, Planning, Modeling, Construction dan Deployment. When planning‎[1], the ACON student information system was built using PHP/MySql. The research was tested using a validity test with three validators, and the system was declared valid with an average of 0.78. Furthermore, the system was declared very practical with an average of 0.97 after being tested on three teachers. At last, the effectiveness test was conducted on 5 students, and the system received a very high effectiveness score of 0.87 on average‎.&lt;/p&gt;
Students’ Responses to Literature within Multiliteracies Pedagogy

This paper aims to analyze how situated practice in the multiliteracies pedagogy might help students respond to the literature utilizing a reader-response approach.The participants are the 2nd-semester students of the English Education Study Program in UMSIDA who had attended the course of Linguistic and Literature for one semester.In collecting the data, the researcher used Google Meet to invite the students into a forum discussion.Firstly, learning begins with exploring students' knowledge.Then, the teacher gave some statements to recall their life experiences, thoughts and opinions related to a particular topic.The topic addressed was about the students' beliefs and assumptions upon a particular sociocultural issue.Further, in that situated practice, they can give various responses to the theme of the New Boy film.From their responses, the interpretation helped them to connect to the social context, so they may comprehend the story's values.The outcomes showed that students' prior knowledge and reader-response approach work quite well altogether in enhancing students' interpretation of a particular literary work.Learning materials with closer relevancy to students' experiences may also be helpful for students in contextualizing the issues on a certain literature work upon their daily real-life circumstances, which in turn will be useful for students' language learning in advance.
Social Entrepreneurship: An Ability for the Future Teachers

Creative thinking, identifying new solutions, taking risks, the proactive attitude, initiative, self-esteem, social and innovative intentions to contribute to societal well-being are competencies listed down in the Learning Compass (OECD, 2019a). Such abilities can be connected with social entrepreneurial competence. Meaningful constructs for the social entrepreneurial competence are: risk taking, self-esteem, personal creativity (Scale of Konakli &amp; Göğüş, 2013), as well as personal traits, social characteristics, and characteristics of social initiative (Scale of Capella-Peris et al., 2019), scales used also in this article. The teachers, as role models for their students, have to demonstrate this competence in order to scaffold it effectively in their students’ minds. We aim to identify to what extent the students in educational sciences in Romania, who will become teachers, demonstrate abilities on this dimension during their BA initial teacher education. Thus, we investigated elements of social entrepreneurial competence in groups of students from Pedagogy, Pedagogy of Primary and Pre-school Education, and Special Needs Education. 509 respondents, students in the first and third year of the BA program, from nine public universities, answered the online questionnaire. The results of the study highlight possible correlations between risk taking and elements of personal creativity, or personal traits, but it could not identify statistically significant differences between the 1st and 3rd year students regarding social entrepreneurial competence. To identify to what extent the social entrepreneurial competence can be noticed at the level of the student teachers, represents a reference for possible curriculum revision of the academic offers.
Scaling by subsampling for big data, with applications to statistical learning

AbstractHandling large datasets and calculating complex statistics on huge datasets require important computing resources. Using subsampling methods to calculate statistics of interest on small samples is often used in practice to reduce computational complexity, for instance using the divide and conquer strategy. In this article, we recall some results on subsampling distributions and derive a precise rate of convergence for these quantities and the corresponding quantiles. We also develop some standardisation techniques based on subsampling unstandardised statistics in the framework of large datasets. It is argued that using several subsampling distributions with different subsampling sizes brings a lot of information on the behaviour of statistical learning procedures: subsampling allows to estimate the rate of convergence of different algorithms, to estimate the variability of complex statistics, to estimate confidence intervals for out-of-sample errors and interpolate their values at larger scales. These results are illustrated on simulations, but also on two important datasets, frequently analysed in the statistical learning community, EMNIST (recognition of digits) and VeReMi (analysis of Network Vehicular Reference Misbehavior).Keywords: Big datasubsamplingstatistical learningscalingout-of sample errorAMS Subject Classifications: 62F0362F1062F1262H1262H15 AcknowledgmentsWe would like to thank the associate editors as well as two anonymous referees for their careful reading of the manuscript and the numerous comments which greatly improved the paper. P. Bertail and M. Zetlaoui have written the theoretical part of the paper, J. Tressou has designed and commented on the simulation results. The two computer scientists M. Bouchouia and O. Jelassi have implemented the algorithm for really big data on Teralab.Disclosure statementNo potential conflict of interest was reported by the author(s).Additional informationFundingThis research has been conducted as part of the project Labex MME-DII [grant number ANR11-LBX-0023-01] as well as Teralab and the industrial chair 'Machine Learning for Big Data'.
Key facial points recognition using ResNet

Key facial points recognition is a major research topic in the domain of image processing. In this process various important facial points such as nose tip, eye center etc are detected using machine learning and AI. Key facial points recognition can help for the face emotion recognition. Although convolutional neural networks (CNN) can be used for face recognition but the CNN suffers from the vanishing gradient problem. While training the CNN model using back propagation algorithm the vanishing gradient problem occurs. Therefore the models stops training as the gradient become vanishingly small. To solve this problem a ResNet model has been implemented in this paper. The ResNet model solves the vanishing gradient problem with the help of an additional skip connection. And therefore a deep neural network can be constructed using the ResNet. The proposed ResNet model identifies the key facial points with high accuracy. After identifying the key facial points one can easily identify the emotion class of the face image. The detected key facial points in this experiment are left eye center, right eye center, left eye inner corner, left eye outer corner, right eye inner corner, nose tip, mouth left corner, mouth right corner, mouth right corner, mouth center top lip, mouth center bottom lip. After training the proposed ResNet model for 100 epochs it successfully detected the key facial points with 77.70 percent accuracy.
Responsible Journalism and Personalized News Communication

Personalized news content has become pervasive, leading to the fragmentation of audiences, fractures in the public sphere, and a tapestry of mistrust in various institutions leading to cries of “fake news” and the inability of the public to separate fact from fiction. However, there is a recent history of news personalization that could make for increased trust in news, which, in turn, could allow audiences to see news as more pertinent. This work explores how various routes toward personalized news communication—defined as information that is designed to connect with an individual as a member of a community—can allow for a responsible, revivified journalism. The news landscape is such that those who consume news, especially on social media, may rely on people they know to make content suggestions, instead of turning to traditional media, which can create a personalized news experience. This way of examining personalization is distinct from a more traditional view of the term, namely news and information generated by algorithms in order to customize content based on previously specified preferences. Accordingly, this chapter examines recent trend lines in such personalized communication and their implications for journalism’s pertinence to news consumers.