Reviewerly/exHarmony huggingface dataset:
How current research practices are damaging science, and how open science offers some solutions

Much has been written about the 'reproducibility crisis' in science, yet there is no agreement about the solution.In practice, there appear to be a number of different factors that have conspired to derail scientific progress, including 'top down' influences from institutions, funders, and journals, and 'bottom up' problems in how research is conducted.This presentation discusses the range of issues and proposes different measures that can help restore the credibility of science, including some 'quick fixes' but also other practices that require longerterm commitment by those who fund and accommodate scientists.
RESULTS OF EXPERIMENTAL WORK ON PHYSICS AND MATHEMATICS TEACHERS’ SELFEDUCATIONAL COMPETENCE DEVELOPMENT IN THE SYSTEM OF INSERVICE EDUCATION

The paper presents the stages and results of a pedagogical experiment on verifying effectiveness of pedagogical conditions for the development of physics and mathematics teachers’ self-educational competence in the system of in-service education. Diagnostics that were selected for each of the identified components of selfeducational competence of physics and mathematics teachers (motivation and person, cognitive and informative, organization and activity, evaluation and reflection) are described. Significant positive dynamics of development of self-educational competence of participants of experimental group on the basis of comparison of the data received at a formative stage of pedagogical experiment is proved.
BennettNLP at SemEval-2021 Task 5: Toxic Spans Detection using Stacked Embedding Powered Toxic Entity Recognizer

With the rapid growth in technology, social media activity has seen a boom across all age groups.It is humanly impossible to check all the tweets, comments and status manually whether they follow proper community guidelines.A lot of toxicity is regularly posted on these social media platforms.This research aims to find toxic words in a sentence so that a healthy social community is built across the globe and the users receive censored content with specific warnings and facts.To solve this challenging problem, authors have combined concepts of Linked List for pre-processing and then used the idea of stacked embeddings like BERT Embeddings, Flair Embeddings and Word2Vec on the flairNLP framework to get the desired results.F1 metric was used to evaluate the model.The authors were able to produce a 0.74 F1 score on their test set.
Use of non-formal education resources as a factor of successful professional self-realization of a future teacher

The article gives an interpretation of the concept of “non-formal education”; described its characteristics; the analysis of the basic social practices of the organization of non-formal education is presented. Under non-formal education we consider the form of the cognitive process that takes place in educational institutions or public organizations, clubs, circles, as well as during individual lessons with a tutor or coach, usually not accompanied by the issuance of a document; it is a spontaneous individual cognitive activity that accompanies the daily life of the individual and is purposeful. The real ratio of formal and non-formal education in modern institutional society is one of the key theoretical and practical problems. Also, non-formal education is characterized as a conscious, to some extent self-organized and regulated process of acquiring knowledge, focused on specific educational goals and needs. The process of obtaining non-formal education can also take place spontaneously, through individual assimilation of information, and is not necessarily accompanied by the issuance of a document on education. Realization of opportunities of non-formal education requires a new strategy of education, based on innovations, methods, forms of education, its organizational structure. The Internet contains a lot of sites, educational platforms and portals of an educational nature, which contain presentations and summaries of educational and extracurricular activities, didactic materials, articles on teaching and education. This is how free electronic platforms work, which provide free courses on various topics (Educational Era Studio; Prometheus Educational Platform; Vum Online Educational Platform), which promote the process of self-education of future teachers. The advantages of the non-formal education system are its mobility, flexibility in the context of global changes in education. Therefore, non-formal education is an important part of the functioning of the student community, helps its members to learn new social roles, promotes their development in selected areas of training.
CHALLENGES IN LEARNING EXPERIENCE: A NEW REALITY FROM TEACHER’S PERSPECTIVE

1 IPAM - Instituto Português de Administração de Marketing; ESEV (PORTUGAL)2 IPAM - Instituto Português de Administração de Marketing; University of Minho (PORTUGAL)3 IPAM - Instituto Português de Administração de Marketing (PORTUGAL)4 IPAM - Instituto Português de Administração de Marketing; CIPES (PORTUGAL)
The Effect of Using Genre-Based Approach towards Students’ Writing Skill on Recount Text

The research aims at determining the effect of using Genre-Based Approach towards students’ skill on writing recount text at SMP PGRI 9 East Jakarta. It uses quantitative design by giving treatment of the application of Genre-Based Approach to the experiment class. The population was all students of eight graders at SMP PGRI 9 East Jakarta and was taken 50 of them as the samples. They were divided into two classes; the experiment class consists of 25 students and the control class consists of 25 students. The result shows that the mean of the control class is 69.78, the median is 70, and the mode is 65.94 with standard deviation values is 7.63. While, the mean of the experiment class is 81.06, the median is 81.35 and the mode is 101.5 with standard deviation values is 10.1. The Fobserved is 1.78 &lt; Ftable 1.98, meaning that both classes are homogenous. The hypothesis test tobserved is 4.44 &gt; ttable 2.01, which means that H1 is accepted which confirms there is an effect of using Genre-Based Approach towards students’ writing skill on recount text at SMP PGRI 9 East Jakarta.
Federated learning for IoE environments: A service provider revenue maximization framework

In accordance with the Internet of Everything (IoE) paradigm, millions of people and billions of devices are expected to be connected to each other, giving rise to an ever increasing demand for application services with a strict quality of service requirements. Therefore, service providers are dealing with the functional integration of the classical cloud computing architecture with edge computing networks. However, the intrinsic limited capacity of the edge computing nodes implies the need for proper virtual functions' allocations to improve user satisfaction and service fulfillment. In this sense, demand prediction is crucial in services management and exploitation. The main challenge here consists of the high variability of application requests that result in inaccurate forecasts. Federated learning has recently emerged as a solution to train mathematical learning models on the users' site. This paper investigates the application of federated learning to virtual functions demand prediction in IoE based edge cloud computing systems, to preserve the data security and maximise service provider revenue. Additionally, the paper proposes a virtual function placement based on the services demand prediction provided by the federated learning module. A matching based tasks allocation is proposed. Finally, numerical results validate the proposed approach, compared with a chaos theory prediction scheme.
Penggunaan Permainan Ular Tangga Terhadap Hasil Belajar Mata Pelajaran IPS Siswa Sekolah Dasar

This study aims to determine the use of the game of snakes and ladders on the learning outcomes of social studies subjects for elementary school students. This study uses the Meta-Analysis method with document studies from previous research results. Data collection techniques were carried out with the help of Google Scholar and Google Scholar. Based on the results of the research, the author uses 10 journals to be analyzed. From the results of the analysis of the use of snakes and ladders game media can improve student learning outcomes starting from the lowest 12.5% ​​to the highest 61.24% with an average of 31.797%.
ZJU’s IWSLT 2021 Speech Translation System

In this paper, we describe Zhejiang University's submission to the IWSLT2021 Multilingual Speech Translation Task.This task focuses on speech translation (ST) research across many non-English source languages.Participants can decide whether to work on constrained systems or unconstrained systems which can use external data.We create both cascaded and end-to-end speech translation constrained systems, using the provided data only.In the cascaded approach, we combine Conformer-based automatic speech recognition (ASR) with the Transformer-based neural machine translation (NMT).Our end-to-end direct speech translation systems use ASR pretrained encoder and multi-task decoders.The submitted systems are ensembled by different cascaded models.
Retraction Note to: Extreme rainfall response based on SAR imaging and home sports training effect

This paper establishes the value relationship model between the imaging performance of GEO bistatic SAR and bistatic geometry and proposes a design method of GEO bistatic SAR imaging method based on genetic algorithm. This method can automatically calculate the best imaging effect through multiple targets and objectively optimize the bistatic geometry configuration method, thus laying a theoretical foundation for high-resolution GEO imaging with bistatic SAR imaging. Accordingly, this study takes the response of Y City to extreme rainfall in 2017 as an example to study its rainfall characteristics, erosion disasters, and erosion causes, so as to evaluate the precipitation flow during rainstorm. Under the condition of gradient erosion in response to extreme rainfall, based on the difficulties of rainfall runoff depth and hydraulic parameters measurement in the Loess Plateau, and in order to prevent the dynamic characteristics of hydraulic erosion in the runoff area of the Loess Plateau, the unconventional scale phenomenon in the Loess Plateau was preliminarily studied. Finally, this paper introduces the research theme of the body and daily activities of the elderly women with mild disability after home exercise intervention and uses literature data method, questionnaire survey method, body measurement method, experimental method, and mathematical statistics method to select 60 elderly women with mild disability after home care. They were randomly divided into the experimental group with 30 people and the control group with the same number of people. In the experimental group, the elderly with mild disability were given a 12-week home exercise intervention experiment, and after the experiment, the indexes of physical fitness were compared with those before the experiment, so as to obtain the feedback of training effect and ability. Through the above experiments, this paper proves the reliability and effectiveness of home exercise intervention training on the improvement of the physical quality of the elderly.
Adhering Agile Methodology in Covid-19

An approach followed to design and develop any software has an important role in determining the reliability and quality of the final Software product.So proper guidelines are required to develop a software.There are different models, that are being followed by different companies as per their requirements.Among all, Agile methodologies are most popular because of its flexibility and adaptability. But that is possible because this model involves continuous customer interaction. There are short development cycles. After which there is interaction between the stakeholders. If there is an issue or change, that is incorporated in the next cycle. The Covid-19 pandemic has a destructive effect on the socioeconomic state. This has resulted in the closure of many companies. The companies which change strategies and adapt to the current situation survived. Agility assists companies in making new changes and adapting their business in thispandemic.This paper outlines on how adhering to agile methodology assist software companies in developing software and also helped government, business organization and their supply chain in coping up with the Covid-19 pandemic.
Performance Analysis of Virtual Machine in Cloud Architecture

Cloud computing is a technique for storing and processing data that makes use of a network of remote servers. Cloud computing is gaining popularity due to its vast storage capacity, ease of access, and diverse variety of services. When cloud computing advanced and technologies such as virtual machines appeared, virtualization entered the scene. When customers’ computing demands for storage and servers increased, however, virtual machines were unable to match those expectations due to scalability and resource allocation limits. As a consequence, containerization became a reality. Containerization is the process of packaging software code along with all of its essential components, including frameworks, libraries, and other dependencies, such that they may be separated or separated in their own container. The program operating in containers may execute reliably in any environment or infrastructure. Containers provide OS-level virtualization, which reduces the computational load on the host machine and enables programs to run much faster and more reliably. Performance analysis is very important in comparing the throughput of both VM-based and Container-based designs. To analyze it same web application is running in both the designs. CPU usage and RAM usage in both designs were compared. Results obtained are tabulated and a Proper conclusion has been given.
Systematic Literature Review: Penggunaan Algoritma K-Means Untuk Clustering di Indonesia dalam Bidang Pendidikan

K-Means is a non-hierarchical data clustering method that can group data into several clusters based on data similarity, so that data with the same characteristics are grouped in one cluster and data with different characteristics are grouped in another cluster. The K-Means method can be used to process various data, including for clustering in the field of education. The use of the K-Means algorithm has been widely carried out but not many activities have been handled and are only often used for selection or acceptance activities and the use of attributes that must be reproduced to get optimal results. In this study, we will review various papers that perform clustering using the K-Means method for research in the field of education. Based on our research, papers related to the use of the K-Means algorithm for clustering in education have proved feasible and useful for future research. So it can be concluded that the K-Means method has been tested to be used for clustering in the field of education and the K-Means method can be useful in many aspects of education, both having an impact on educators, students and other educational aspects.
An Analysis of Strength, Weakness, Opportunity, and Threat (SWOT) Implementation of E-Learning During Pandemic Covid-19

This study aims to determine and describe the SWOT Analysis (Strength, Weakness, Opportunity, and Threat) Implementation of E-Learning during the Pandemic Covid-19 at State Vocational High Schools.Data collection was carried out by questionnaire and documentation.Data were analyzed by using SWOT analysis.From the results of the study, it can be concluded that the results of the SWOT analysis of the main strength factors possessed by State Vocational Schools in Ogan Komering Ulu Regency are basic abilities, high student interest, and motivation, supported by teacher education qualifications of diplomas so that student achievement at the implementation of e-learning is quite satisfying.Meanwhile, the weakness is that the students' ability to understand e-learning questions is still not optimal.The opportunity for the elearning implementation is that the local government fully supports the implementation of e-learning.While the threat is that the curriculum made by the government often changes in the curriculum.
MOTIVASI BELAJAR BAHASA JEPANG MAHASISWA TAHUN MASUK 2018 PRODI PENDIDIKAN BAHASA JEPANG UNP

This study aims to determine the motivation to learn Japanese in the 2018 students in Japanese Language Education Study Program at UNP. The method used in this study is a quantitative method and this type of research is descriptive. The population of this study was to 63 students. The sampling technique is total sampling technique, as many as the 2018 students in Japanese language education study program at Universitas Negeri Padang. The data collection technique used is a questionnaire with a Likert scale. The data analysis technique used is descriptive with a percentage.The results of this study are the average questionnaire of the motivation to learn Japanese for the 2018 Students in Japanese Language Education Study Program at UNP. The Motivation to learn Japanese students in 2018 students in Japanese Language Education Study Program at UNP has an average score of 70.6% which is category in classified as "high". Which is based on the hopes and aspirations as the highest motivation in learning Japanese, obtaining the highest score with a percentage of 81.7% which is included in "very high" category. These hopes and aspirations for the future include jobs that students want in the future, such as working in Japanese companies, becoming educators / teaching and working in fields that related to the Japanese language.
Increasing The Capacity of Headstega Based on Bitwise Operation

Headstega (Head steganography) is a noiseless steganography that used email headers as a cover for concealing messages. However, it has less embedding capacity and it raises suspicion. For overcoming the problem, bitwise operation is proposed. In the proposed method, the message was embedded into the cover by converting the message and the cover into binary representation based on a mapping table that was already known by the sender and the receiver. Furthermore, XOR bitwise operations were applied to the secret message and cover bits based on random numbers that were generated using a modular function. Moreover, the result was converted into characters that represent the secret message bits. After embedding the message into the cover, an email alias was generated to camouflage the secret message characters. Finally, the sender sends the embedded cover and the email alias to the recipient. Using the proposed method, the embedding capacity is 89% larger than using the original Headstega. For reducing the adversary’s suspicion, the existing email address was used instead of creating a new email address.
PENGUJIAN KERENTANAN SISTEM DENGAN MENGGUNAKAN METODE PENETRATION TESTING DI UNIVERSITAS XYZ

Awareness of information security will be a priority in the event of data loss or damage. This certainly harms the performance of a company or organization due to unpreparedness to resolve or minimize risks that can occur. The impact that occurs on the security system used is that the system cannot provide a sense of security because the system used and has security holes that can be used to exploit systems and networks at XYZ University. This study aims to examine the internal and external security controls of the system by identifying threats that can pose serious problems to assets at XYZ University by using the penetration testing method, the results can be used as a benchmark in measuring the weaknesses of the network and system from external attacks. The goal is to implement preventive controls against risks that can occur to improve system security at XYZ University.
BLCUFIGHT at SemEval-2021 Task 10: Novel Unsupervised Frameworks For Source-Free Domain Adaptation

Domain adaptation assumes that samples from source and target domains are freely accessible during a training phase.However, such assumption is rarely plausible in the real-world and may causes data-privacy issues, especially when the label of the source domain can be a sensitive attribute as an identifier.SemEval-2021 task 10 focuses on these issues.We participate in the task and propose novel frameworks based on self-training method.In our systems, two different frameworks are designed to solve text classification and sequence labeling.These approaches are tested to be effective which ranks the third among all system in subtask A, and ranks the first among all system in subtask B.
Evaluation Guidelines to Deal with Implicit Phenomena to Assess Factuality in Data-to-Text Generation

Data-to-text generation systems are trained on large datasets, such as WebNLG, Ro-toWire, E2E or DART.Beyond traditional token-overlap evaluation metrics (BLEU or METEOR), a key concern faced by recent generators is to control the factuality of the generated text with respect to the input data specification.We report on our experience when developing an automatic factuality evaluation system for data-to-text generation that we are testing on WebNLG and E2E data.We aim to prepare gold data annotated manually to identify cases where the text communicates more information than is warranted based on the input data (extra) or fails to communicate data that is part of the input (missing).While analyzing reference (data, text) samples, we encountered a range of systematic uncertainties that are related to cases on implicit phenomena in text, and the nature of non-linguistic knowledge we expect to be involved when assessing factuality.We derive from our experience a set of evaluation guidelines to reach high interannotator agreement on such cases. 1
A modified technique for recognizing facial expression

This paper consists of analysis of an algorithm dealing with facial expressions recognition. The algorithm has three major steps, initially image is processed, then the facial features are extracted and finally facial expression is recognized. In the initial processing stage the facial region is identified using a Haar cascade classifier. This facial region is passed on to the model trained by a CNN where facial features are matched with the features specified in the model. In the final step on the basis of comparison in the previous step the image is labelled and results are displayed. By the experiment results it is clear that the method specified in the paper can detect facial expressions very well.
APLIKASI AUGMENTED REALITY SEBAGAI MEDIA PEMBELAJARAN SEJARAH KEMERDEKAAN INDONESIA BERBASIS ANDROID

The need for knowledge of the development technology augmented reality on smartphones as a learning studied at SDN 003 class V Sagulung Batam City. media which is used is still only using books and blackboards, this is what causes  lack of interest of students in learning history. The learning system that is still Traditionally based on books only so that students feel bored when studying. augmented reality will make learning modern. This research is needed  several steps in such as problem identification,  problem formulation, literature study, data collection, application design, testing and  the results of the application. This research was conducted based on the material  from the 2013 curriculum. Learning materials are taken based on learning books Thematic 7 is about events and student life. Unity 3D as a software that  used to create applications. Blender is used to create 3D objects. Vuforia SDK  as a database of markers. C# is the programming language used, Photoshop  as the design of the application, and Balsamiq Wireframe as the interface design. Applications of augmented reality that can be used by students anywhere and anytime. With augmented reality technology, it can be a learning is very fun about the history of Indonesian independence.