Reviewerly/exHarmony huggingface dataset:
OpenFraming: We brought the ML; you bring the data. Interact with your data and discover its frames

When journalists cover a news story, they can cover the story from multiple angles or perspectives. A news article written about COVID-19 for example, might focus on personal preventative actions such as mask-wearing, while another might focus on COVID-19's impact on the economy. These perspectives are called "frames," which when used may influence public perception and opinion of the issue. We introduce a Web-based system for analyzing and classifying frames in text documents. Our goal is to make effective tools for automatic frame discovery and labeling based on topic modeling and deep learning widely accessible to researchers from a diverse array of disciplines. To this end, we provide both state-of-the-art pre-trained frame classification models on various issues as well as a user-friendly pipeline for training novel classification models on user-provided corpora. Researchers can submit their documents and obtain frames of the documents. The degree of user involvement is flexible: they can run models that have been pre-trained on select issues; submit labeled documents and train a new model for frame classification; or submit unlabeled documents and obtain potential frames of the documents. The code making up our system is also open-sourced and well-documented, making the system transparent and expandable. The system is available on-line at http://www.openframing.org and via our GitHub page https://github.com/davidatbu/openFraming .
Characterizing the Zeta Distribution via Continuous Mixtures

We offer two novel characterizations of the Zeta distribution: first, as tractable continuous mixtures of Negative Binomial distributions (with fixed shape parameter, r &gt; 0), and second, as a tractable continuous mixture of Poisson distributions. In both the Negative Binomial case for r &gt;= 1 and the Poisson case, the resulting Zeta distributions are identifiable because each mixture can be associated with a unique mixing distribution. In the Negative Binomial case for 0 &lt; r &lt; 1, the mixing distributions are quasi-distributions (for which the quasi-probability density function assumes some negative values).
A Method for Identification of Face of the Person and Presence of Facial Spot in the Face

Human Face and facial parts are the most significant parts as it reveals a person’s true identity. It plays an important role in various biometric applications like crowd analysis, human tracking, photography, cosmetic surgery, etc. There are many techniques are available to detect a facial image. Among them, skin detection is the most popular one. The aim of this paper is to detect first the person's identity from facial image and finally check any spot present the detected person. The first step is to detect the maximum skin region based on a combination method of RGB and HSV color space model. Next it is to verify the skin areas of human through machine learning approach. The Aggregated Channel Features (ACF) detector is used to identify the different facial parts like eye pairs, nose, and mouth. Bootstrap aggregation decision tree classifier is applied to classify the person’s identity based on Histogram Oriented Gradient (HOG) features value. The experimental results show that the proposed method gives the average 97% accuracy.
Rb-PaStaNet: A Few-Shot Human-Object Interaction Detection Based on Rules and Part States

Existing Human-Object Interaction (HOI) Detection approaches have achieved great progress on nonrare classes while rare HOI classes are still not well-detected. In this paper, we intend to apply human prior knowledge into the existing work. So we add human-labeled rules to PaStaNet and propose Rb-PaStaNet aimed at improving rare HOI classes detection. Our results show a certain improvement of the rare classes, while the non-rare classes and the overall improvement is more considerable.
Technology for information and cyber security in higher education institutions of Ukraine

With the increasing availability of the Internet and the rapid development of communication tools, the need for the availability of information and telecommunication resources, regardless of where they are received, is constantly growing. One of the cells of such resources is the institution of higher education (IHE). Modern IHE and their corporate networks are a multi-level hierarchical environment in which the interests and data of various user groups collide: students, research workers, administration, etc. As the perimeter of the classic corporate information network of IHE continues to evolve, it is the use of smartphones, tablets and other end devices with web applications or specialized workstations that contributes to the inevitable change in the educational process. This, in turn, provides users with the opportunity to access the training services of IHE while in the educational institution, and beyond. At the same time, when introducing the concept of access to information, a whole series of tasks arises that need to be solved in the process of ensuring information and cyber security of IHE, namely, to ensure: prevention of unauthorized access to IHE premises and its local networks; compliance with the requirements and recommendations of existing information and cybersecurity policies; Monitoring devices connected to the corporate network for compliance with applicable policies; logical division of the corporate network into security zones without changing the existing infrastructure, etc. In addition to protecting information of limited access, it is also necessary to ensure the security of information systems of IHE, in particular, for example, of such a system as “Electronic University”. Accidental or deliberate disabling of these systems can stop the learning process and violate the contractual conditions between the educational institution and the student (in the case of payment for educational services), cause material, moral and other damage to the staff of the educational institution and IHE as a whole due to design and technological and / or information activities. That is why the issues of ensuring information and cybersecurity of IHE are now extremely relevant.
Using Metacognition in Lowering Writing Anxiety and Improving Writing Performance among Low-Intermediate ESL Students

Various programs have been implemented to improve the quality of English in Malaysia classroom.However, the quality of English in Malaysia remains poor especially in writing.This paper aims to see the effects of metacognition in lowering writing anxiety and improving low-intermediate ESL students' writing performance.Employing action research design, 12 Form 5 students of a secondary school in sub-urban area in Sarawak were selected as respondents based on their previous examination result where they score between 15 -25 marks in paper 1 section B. Cheng's Second Language Writing Anxiety Inventory (2004) was administered to measure respondents' anxiety level before and after metacognition implementation.To see the effects of metacognition in improving low-intermediate students' writing performance, pre and post writing test were conducted.They were also interviewed using a semi-structured interview regarding the strategies employed in their writing stages.Cheng's SLWAI was analysed descriptively where mean score was extracted.Content analysis procedure was used to analyse data from the writing journals and the interview.The findings revealed that the respondents had high anxiety level (Mean: 65.33) when given writing task and performed badly in the writing pre test (mean: 19.00).When metacognition is explicitly taught in writing lesson, it helps to lower respondents' anxiety level (mean: 64.08) as a result, it increases their writing performance (mean: 23.75).Based on the finding's educators are encouraged to teach and train students to use metacognitive strategies in writing task so that they are able to improve their writing strategies and enhance their performance.
Plagiarism Checker_Analysis of air pollution conception on pre-service elementary teachers

This research aims to identify the conception of the pre-service elementary school teachers on air pollution. Analysis of air pollution conception on the pre-service elementary school teacher’sstraight-away desirable for developing proficiency and mastery of the concept. Data were collected on as undergraduate students of elementary school teachers in Sumedang (84 participants). Thesample is measured by a diagnostic test (four-tier test) that have been tested for validity by the validator experts and in-depth interviews. Based on the results, (1) the samples are clustered into 4 groups based on understanding the concept, do not know the concept, misconceptions, and less understanding the concept. (2) The misconception occurred of pre-service elementary school teacher unperceptive the process of air convection and the environment. (3) The generating of the misconception on pre-service elementary school teacher is the source of the informationacknowledged such as books and the internet. The development of learning models and information sources on pre-service elementary school teachers can improve knowledge of conception on airpollution
The Development of Macromedia Flash-Aided Interactive Media to Increase the Ability to Understand Fiction Stories Information in Elementary School Students

This study aims to: (1) Analyze the level of effectiveness of Macromedia Flash-assisted interactive learning media in story text learning that will be developed at SD60606 Public Elementary School Medan Perjuangan. (2) Analyzing how the level of interactive learning media assisted by Macromedia Flash on story text learning will be developed in SD60606 Public Elementary School Medan Perjuangan. This study uses the Borg &amp; Gall development research. Based on the analysis of Macromedia Flash assisted learning media products from the experts, it was declared very effective and feasible to use with criteria of the validity of the material experts 85.42%, the design expert 91.00%, and the linguist 85.00%. Based on the completeness data of student learning outcomes before using interactive learning media assisted by Macromedia Flash obtained an average value of 62 while using a large scale completeness reached an average of 90 with a gain score of 0.74 into the high category. And the student questionnaire responses to the effectiveness of Macromedia Flash-assisted interactive learning media reached 90% of 30 students. Based on this data Macromedia Flash-assisted interactive learning media are said to be effectively used in learning with the assumption that students' understanding of story text is higher when using Macromedia Flash-assisted interactive learning media.
LibGuides: Library Emergency Remote Support: Faculty Support Services

Library support and information for Fisher students studying remotely and faculty teaching remotely. Information for faculty about remote access to library resources
Siloed Federated Learning for Multi-Centric Histopathology Datasets.

While federated learning is a promising approach for training deep learning models over distributed sensitive datasets, it presents new challenges for machine learning, especially when applied in the medical domain where multi-centric data heterogeneity is common. Building on previous domain adaptation works, this paper proposes a novel federated learning approach for deep learning architectures via the introduction of local-statistic batch normalization (BN) layers, resulting in collaboratively-trained, yet center-specific models. This strategy improves robustness to data heterogeneity while also reducing the potential for information leaks by not sharing the center-specific layer activation statistics. We benchmark the proposed method on the classification of tumorous histopathology image patches extracted from the Camelyon16 and Camelyon17 datasets. We show that our approach compares favorably to previous state-of-the-art methods, especially for transfer learning across datasets.
The Error Analysis of Writing Recount Text at Third Semester Students of English Education Department in Academic Year 2019/2020

The researcher as the lecturer at the Third Semester Students in English Education Department, Faculty of Education and Teacher Training, Islamic Institute of Darussalam Blokagung Banyuwangi in academic year 2019/2020 found the problem in students’ understanding in writing recount text. Although The students had got the material about writing recount text in the previous semester, they were still got difficulties on it. Here, the researcher interested to analyze students’ error in writing recount text deeply. The purpose of this research was to find out the students’ problem in writing recount text, so that the researcher can decide the appropriate method in teaching writing in the third Semester. The researcher used descriptive qualitative method. The data was taken from the students’ writing test in third semester of English education department that consist of 30 students. To collect the data, first, asking the students to write a recount text with the topic given. Second, analyze the result of students’ task. Third, Finding and marking the errors in students’ writing task. Fourth, divide the errors based on the types of errors. The result of the test had been analyzed and then classified into four types of the errors, those were mis-formation, omission, addition and mis-ordering. Based on the finding in this research, there were 70 errors made by the students in writing recount text. The errors were 13 errors or 15.71% in mis-formation, 16 errors or 22.85% at omission, 37 errors or 52.85% at addition and 6 or 8.57% errors in mis-ordering. From the result of the data, it could be concluded that students still find difficulties in writing recount text. It could be seen from the errors they made. The errors cover mis-formation, omission, addition and mis-ordering.
Research for Tracking Athletes Using Images Shot from Multiple Points of View

Studies on tracking athletes by image processing are being made for the purpose of utilizing data in sports using ICT. However, it is impossible to correctly obtain the position information of athletes in the types of games such as American Football in which occlusions occur frequently due to the athletes’ close formation on the field. Therefore, it is a problem that the moving track of an athletes is divided, which makes it difficult to make accurate tracking. In this research, we propose a tracking method for an athlete who is robust against occlusion by using the moving tracks obtained from respective video images shot from multiple points to make them complement each other. Using this, we aim at tracking in regular games to obtain information including that about the opponents that cannot be obtained from the device with GNSS sensor.
Impact of innovation and international networking on firm openness to foreign markets strategy in Middle East And North Africa: Individualism' moderating effect.

Firms are constantly looking for ways to succeed, exporting seems to be one of the most efficient means to do it.So as we can say exporting has a double aim, from a microeconomic point of view, it allows the firm to find new opportunities and from a macroeconomic point of view, it increases the growth level.This article main question treats the effects of innovation, international networking and socio-cultural differences within countries on the entrepreneur's decision to adopt or neglect exporting strategy.To do this, we used a linear hierarchical model based on 8,605 firms from 15 different countries in the MENA region, the data comes from the Global Entrepreneurship Monitor (GEM) database.This study brought some interesting results, in which we conclude on the moderating effect of individualism on networking, in the main time we've demonstrated that innovation and individualistic culture are positively linked to exporting decision-making.
AN ANALYSIS OF ENGLISH TEXTBOOK IN THE FIRST GRADE OF JUNIOR HIGH SCHOOL

This research is attempted to analyze text reading from two different textbook publishers, Erlangga and Yudhistira Ghalia in the first grade of Junior High School. Those two textbooks are designed based on Curriculum 2013. The analysis is focused on the three aspects of Systemic Functional Linguistics; ideational meaning (transitivity), interpersonal meaning (mood structure), and textual meaning (theme-rheme). Those three aspects are used to analyze the contents of text reading in those two textbooks. In addition, clause complex, nominal group and lexis are used to find out the readability of those two textbooks that used by Junior High School students. These data analyzed by triangulation method. To analyze the data, the researcher used domain analysis, taxonomy analysis, componential analysis, and theme- culture analysis. The finding showed that content of reading text in Erlangga’s book is more detail in describing an object than Yudhistira Ghalia’s book. It can be concluded that Yudhistira Ghalia’s Book is more difficult and complicated for students of Junior High School than Erlangga’s book.
PERKEMBANGAN BAHASA PADA ANAK USIA DINI

Language is the most important thing in human life, its presence cannot be separated. Language becomes something of its own need for humans to communicate. Without the language of communication will not run smoothly even can cause chaos. The development of language skills in early childhood is actually intended for children to be able to communicate verbally with the surrounding environment, which includes the family environment, school environment, and the surrounding community environment. It should be noted that the ability of language development in early childhood is very important because the language that will later be used as the basis for a person's ability is also very closely related to the improvement of other abilities that exist in the child. As for what is included in language skills are speaking, reading, listening, and writing. Parents or adults can provide stimulus to the child so that the ability of language development can grow optimally along with the development of his age. Basically, the language skills of the child develop and not necessarily the child can immediately speak fluently and perfectly. The development of language in the child gradually starts from the pre-talk stage until later until the stimulus stage in speaking. In addition, there are also several factors that influence the development of language skills in children. One important role in the process of language development at an early age. A good environment will also have a good impact on the process of acquiring and developing the child's vocabulary, while a bad environment can also have a negative impact on language development skills in children, even a good environment can have adverse effects such as the development of language skills in developing children not in accordance with the development of his age. Keywords: Language, Children, Stage, Development
Penerapan Metode SVM-Based Machine Learning Untuk Menganalisa Pengguna Data Trafik Internet (Studi Kasus Jaringan Internet Wlan Mahasiswa Bina Darma)

Internet usage is an important requirement that supports the performance and activities on campus. To control internet usage, it is necessary to know the distribution of internet usage. By utilizing a number of machine learning algorithms and WEKA software, the research is carried out by observation and taking data from wifi hotspots on campus. The classification method using SVM-Based utilizes the classification method owned by Support Vector Machine (SVM). This study aims to classify data on internet usage so that from this classification can be known destination network, protocol, and bandwidth that are widely accessed at certain times. Internet traffic data is retrieved through Wireshark software. Whereas data processing and data processing of internet traffic is processed by WEKA. The results showed: 1) UBD internet usage in the week I 133,196 users, week II 304,042 users,2) Use of Destination Network 24,150 and Use of Protocol 37,321,3) Destination networks that are often addressed are 172.21.206.143 (the week I) and 172.21.172.234 (week II), protocols that are often used by TCP, and4) SVM method is a good data mining method for classifying network packet patterns so as to produce network traffic classification according to destination network and protocol.
The Integration of Character Education into English Subject in MTsN 1 Kota Malang

SUMMARY Fadhila, Annisa Nuril. 2019. The Integration of Character Education into English Subject in MTsN 1 Kota Malang. Undergraduate Thesis. Department of English. Faculty of Letters. Universitas Negeri Malang. Advisors: (I) Dr. Mirjam Anugerahwati, M. A. (II) Dr. Utari Praba Astuti, M. A. Key Words : Character education, English subject, integration. In this era, Indonesian youth are facing character crisis. Violence, drugs consumption, and promiscuity are the examples of behaviors that are portrayed by Indonesian youth. This is a very concerning problem. For this reason, character education is needed to fix the nation character. In the 2013 curriculum, character education is something that becomes the responsibility of all subjects, English included. Thus, this research is aimed to investigate how character education is integrated into English subject and the challenges that English teachers face in the process. This research was considered as descriptive-qualitative research. The subjects were English teachers of MTsN 1 Kota Malang that have more than five years of teaching experience and have attended workshop related to the 2013 curriculum, vice headmaster of curriculum affairs, and students of MTsN 1 Kota Malang. The instruments used to collect the data were questionnaire for students and interview guide for English teachers andvice headmaster of curriculum affairs.The collected data were then analyzed by using Miles and Hubberman’s descriptive analysis technique. The activities of data analysis were data reduction, data display, and conclusion drawing/verification. The findings of the study showed that five characters that are tolerance, honesty, democratic, discipline, and hard work were integrated into English subject in various ways. The character-education effort to insert those character into English subject in MTsN 1 Kota Malang was considered successful by looking at students’ attitudes in those five values in English class. In their effort in building students’ character, English teachers faced many challenges. The challenges that they faced were coming from themselves, students, parents, or globalization in the form of the advancement of technology and the internet. However, they did not let the challenges hindered their effort in building students’ character. They always try to find solutions for the challenges. In conclusion, English teachers of MTsN 1 Kota Malang have successfully integrated character education into their lesson. The methods that they used in inserting those characters vary from one English teacher to another. English teachers also faced many challenges in the process of integrating character education into their lesson. However, they always try to find solutions for the challenges in order to ensure that the character education process runs smoothly. 1 1 1 1 MicrosoftInternetExplorer4 0 2 DocumentNotSpecified 7.8 磅 Normal 0