Reviewerly/exHarmony huggingface dataset:
The Art of Writing an Article

The advent of information technology and the required information at the finger tips by using search engines writing an article is not that much difficult as it before. Hence, the author should be very careful in preparing a manuscript, citing the references, preparing an abstract and a good title, otherwise the article is likely to be rejected by the publishers. If the title is heart, abstract is the soul then eyes and ears are references and reviews. Title is a most important part of an article because it is a gateway to the content of a research article. A good title to the research article is the one which is able to focus the research work to the fullest extent. Likewise, an abstract is like a trailer and should give stimulation to the reader to go through the entire article. On the other than if the reader is unimpressed with the information in the abstract the reader will never read the article and the very purpose of publishing an article is nullified. A good abstract should be honest, trustworthy and summary of the manuscript with a continuity of thoughts. The purpose of references in any article is to identify and locate the source of information used for justifying the need for conducting the research work. While citing the references the author should take into account by giving the relevant citations in an appropriate manner as desired by the editorial board of the Journals. The other obligatory on the part of an author of an article is he should satisfy not only the editorial board of any Journal but also the peer reviewers whose comments are necessary for publication. Peer Review is an important element in the research process before publication and this review makes the road either to publish or to reject the article. It is important for the author while submitting the manuscript to prepare a covering letter and it should contain why this article is important to the journal and its readers. The author while preparing the manuscript should follow the ethics according to the nature and subject matter. The author should be careful in choosing the relevant subject the source of information, preparing right title, scripting good abstract and finally an acceptable manuscript.
Students’ Difficulties in Writing Descriptive Text at the Seventh Grade of SMP Sint Carolus Bengkulu

The objective of this research was to investigate the students’ difficulties in writing descriptive text, the most dominant difficulty faced by the students, and the students’ strategies to overcome these difficulties. This study was conducted at the Seventh Grade of SMP Sint Carolus Bengkulu. This is a descriptive quantitative study. The instruments used in this research were questionnaire and interview. Based on the results, it was found that students experienced difficulties in the three aspects of the study, namely linguistic, psychological, and cognitive difficulties. In each of these aspects, organization is the highest one followed by behaviour, feedback, grammatical items, and vocabulary. In organizations, difficulties in developing ideas are the most difficult. Anxiety is the highest difficulty in behaviour, while the lack of practice is the most difficulty in the feedback. The difficulty in using connectors is the highest point in the grammatical items, and the lack of vocabulary is the most difficulty in the vocabulary. Based on the questionnaire and interview results, organization was the most difficult aspect in writing descriptive text. To overcome the difficulties, the students choose to master vocabulary and learning from other sources such as books or the internet while the others like to read from dictionary. Finally, it is also suggested for other researchers to carry out similar research in a broader scope, as well as a description, especially about the mechanic that get negative results.
Error Analysis of Using Simple Present Tense on Students’ Descriptive Text Writing

The purpose of the research is to find out the types of error which made by the ninth graders in writing descriptive text using simple present tense at SMPIT Nurul Ihsan. The number of the students is 27 students. This research uses qualitative descriptive as the approach. The researcher directly did the survey and conducted a written test to the students write English descriptive text. The result of the study shows that there are 77 errors from all students’ compositions. The most error made is misformation with the percentage 49,35%. Followed misordering with the percentage 20,78%, then addition with the percentage 18,18%, and the least error made is omission with the percentage is 11,69%. Most students made wrong sentence in misformation category. The cause of that is the interference from mother language or L1. It makes them influenced the way they think about the language they are learning. When they compose a text in English, they follow the rule of L2. Consequently, they should be guided more so that they could understand about simple present tense.
School Library Resources Usage in a Faith-Based Secondary School

School Library Resources Usage in a Faith-BasedSecondary School BackgroundLibraries are institutions saddled with the responsibility of providing relevant documents and publications to users.The five types of libraries based on the type of users are: national, academic, public, special and school libraries (Uzuegbu and Ibiyemi, 2013).According to Aina (2004) stated that the school library is attached to schools such as preprimary, primary and secondary schools and is meant to supplement classroom teaching of school children.A school library should contain materials that would interest both students and teachers.Materials expected in a school library include books, magazines, periodicals, newspapers, atlas, encyclopedia, dictionaries, maps, pictures and tapes.Infrastructure such as whiteboard, television with video (VHS/CD/VCD/DVD) player and computer system can also be incorporated.A professionally trained librarian called School or Teacher Librarian is expected to manage the school library.David-West and Bassey (2017) identified the need for advocacy to promote the establishment, maintenance and management of school libraries.The study provided useful approaches to advocacy for the sustenance of school libraries.The Apostolic Church Model College, Ibadan is a secondary education
PENGELOLAAN ARSIP LEMBAGA PEMERINTAHAN: STUDI PADA DINAS KEARSIPAN DAN PERPUSTAKAAN KABUPATEN CILACAP

Every organization, both government and private, in the process of its activities will produce a record of activity information which is called an archive.In organizational life, there are dynamic archives and static archives.The management of this type of archive is different considering that each has a different use value.This study wants to know more deeply about archive management in government institutions, especially at the Dinas Kearsipan dan Perpustakaan Kabupaten Cilacap which also received recognition for its achievements.This study uses a descriptive qualitative method with interviews with archivists.The results of this study note that archive management in government institutions is regulated by various government guidelines and regulations.Archival services are also developed based on information technology.The management of static archives, especially in the form of archive acquisition, is carried out in agencies that are disbanded, merged and/or liquidated.The acquisition is carried out on archives that have static value and or have retention of more than 10 years.
Junk Filtering through Naive Bayesian Algorithm

As the world is seamlessly developing at a very high pace, we have been seeing enormous growth in various sectors of Technology. Networking has played a crucial part in the exchange of technological culture around the globe, and the Internet being the sole medium of Network enhancement has taken over every aspect of our society. Today, most of the professional communications are done through emailing. As far as email has proven to be an efficient, professional and easy way of communication, it also comes with the disadvantage of unwanted bulk bombarding of spam content. This has been a critical concern for email users. Consequently, it has become very difficult for spam filters to efficiently filter the unwanted emails, since nowadays emails are written in such a manner that any existing algorithm cannot give 100% accuracy in predicting spam. This paper deals with Naive Bayesian Classifier that is a Machine Learning algorithm for antispam filtering, which gives satisfactory results by automatically constructing anti-spam filters with extended conduct. The review over the researched performance of Naive Bayes algorithm is done by the investigations of Spam ham csv datasets. The performance of the algorithm is evaluated based on the accuracy, recall and precision it shows on the mentioned datasets. This technique gives 96-97% accuracy and 89% precision on the investigated dataset. The result also highlights that the content of the email and the number of instances of the dataset has an apparent effect on the performance of the algorithm.
PROBLEMATICS ACADEMIC AND NON-ACADEMIC OF FOREIGN STUDENTS IN TUTORIAL MODEL BIPA

The tutorial model of BIPA learning is an intensive learning model for foreign students by providing additional tutorials outside of classroom learning. The tutorial model in BIPA learning has an important role because it helps to improve the Indonesian language skills of foreign students. But in practice, the tutorial model has problems. This article aims to describe the problems of academic and non-academic aspects experienced when implementing the tutorial model of BIPA learning. The problems described were studied using qualitative research methods. Sources of data come from foreign students who take BIPA learning with the tutorial model at the State University of Malang. The data collection technique was done through intensive interviews. Research findings on the academic aspect are (1) language skills, (2) tutorial topics, (3) learning styles, (4) learning methods, and (5) learning rules. The findings in non-academic aspects include (1) psychological, (2) sociological, (3) tutor attitudes/habits, and (4) learning environment. Keyword : Tutorials, problematics, BIPA learning
Comparative Study of Vehicle Detection using SSD and Faster RCNN﻿

With the recent developments in Artificial Intelligence, vehicle detection systems have become an essential part of many sectors like transport, automobile, security, law enforcement, and traffic management. This increased the requirement for an efficient system for vehicle detection. The main focus of our work is to find the best algorithm which can be used to design a vehicle detection system. For this, we compare two well-known deep learning algorithms which are Faster R-CNN and Single Shot Detector (SSD) algorithms. Both of the Pre-trained models of Tensorflow were tested on a dataset of hundred images with cars in them. It was found that Faster R-CNN is better with an accuracy score of 82.75 but was slower than SSD, whereas SSD had an accuracy score of 80.58 but was faster compared to Faster R-CNN.
Analisis Kemampuan Pemahaman Matematis Dengan Memanfaatkan Aplikasi Microsoft Teaams di Masa Pandemi Covid-19

This study aimed to analyze and describe the seventh-grade junior high school students’ mathematical understanding ability on comparison material using Microsoft Teams application during the covid-19 pandemic. This study employed a qualitative descriptive. The sampling technique used was the purposive random sampling technique. Subjects of this research were 35 students of class VII F SMP Negeri 1 Cilegon. The results show that student’s mathematical understanding using Microsoft Teams application during the covid-19 pandemic ability is 68% at high level category and 32% at low level category. Microsoft Teams is highly recommended for online learning in time of this pandemic.
How far can we get with one GPU in 100 hours? CoAStaL at MultiIndicMT Shared Task

This work shows that competitive translation results can be obtained in a constrained setting by incorporating the latest advances in memory and compute optimization.We train and evaluate large multilingual translation models using a single GPU for a maximum of 100 hours and get within 4-5 BLEU points of the top submission on the WAT 2021 leaderboard.We also benchmark standard baselines on the PMI corpus and re-discover well-known shortcomings of current translation metrics.
Interactive Attention-Based Convolutional GRU for Aspect Level Sentiment Analysis

Aspect level sentiment analysis aims at identifying sentiment polarity towards specific aspect terms in a given sentence.Most methods based on deep learning integrate Recurrent Neural Network (RNN) and its variants with the attention mechanism to model the influence of different context words on sentiment polarity.In recent research, Convolutional Neural Network (CNN) and gating mechanism are introduced to obtain complex semantic representation.However, existing methods have not realized the importance of sufficiently combining the sequence modeling ability of RNN with the high-dimensional feature extraction ability of CNN.Targeting this problem, we propose a novel solution named Interactive Attention-based Convolutional Bidirectional Gated Recurrent Unit (IAC-GRU).IAC-GRU not only incorporates the sequence feature extracted by Bi-GRU into CNN to accurately predict the sentiment polarity, but also models the target and the context words separately and learns mutual influence between them.Additionally, we also incorporate the position information and Part-of-Speech (POS) information as prior knowledge into the embedding layer.The experimental results on SemEval2014 datasets show the effectiveness of our proposed model.
Face Sketch Recognition Using Computer Vision

Now-a-days need for technologies for identification, detection and recognition of suspects has increased. One of the most common biometric techniques is face recognition, since face is the convenient way used by the people to identify each-other. Understanding how humans recognize face sketches drawn by artists is of significant value to both criminal investigators and forensic researchers in Computer Vision. However, studies say that hand-drawn face sketches are still very limited in terms of artists and number of sketches because after any incident a forensic artist prepares a victim’s sketches on behalf of the description provided by an eyewitness. Sometimes suspect uses special mask to hide some common features of faces like nose, eyes, lips, face-color etc. but the outliner features of face biometrics one could never hide. Here we concentrate on some specific facial geometric feature which could be used to calculate some ratio of similarities from the template photograph database against the forensic sketches. The project describes the design of a system for face sketch recognition by a computer vision approach like Discrete Cosine Transform (DCT), Local Binary Pattern Histogram (LBPH) algorithm and a supervised machine learning model called Support Vector Machine (SVM) for face recognition. Tkinter is the standard GUI library for Python. Python when combined with Tkinter provides a fast and easy way to create GUI applications. Tkinter provides a powerful object-oriented interface to the Tk GUI toolkit.
Visualization of Net Effects for Image Hiding Using Gain/Lift

At present most of the larger companies depends heavily on their data science capabilities for taking decisions. On the basis of complexity and diversity of analysis, the big data units are transformed into larger and more technologies. Internet technologies are now playing a vital role in our day to day life. It has the advantages along with the disadvantages also, which in term generates the requirements of image hiding technology for maintaining the secrecy of the secret information. The interpretability of findings plays a major role for the success of delivering data science solutions into business reality. Even if the existing method provides outstanding accuracy, they may be neglected if they do not hide the image or text in an exact manner for various cases. When evaluating ML/DL [1] models there is an excess of possible metrics to assess performance. There are things like accuracy, precision- recall, ROC and so on. All of them can be useful, but they can also be misleading or don't answer the question at hand very well. The ROC AUC score is not informative enough for taking decisions since it is abstract for non-technical managers. Hence two more informative and meaningful metrics that every analyst should take into consideration when illustrating the results of their binary classification models: Cumulative Gains and Lift charts. Both the metrics are extremely useful to validate the predictive model (binary outcome) quality. Gain and Lift charts [2] are used to update the performance of binary classification model. They measure how much better one can expect to do with the predictive model. It also helps to find the best predictive model among multiple challenger models. The main intention behind this paper is to assess the performance of the binary classification model and compares the results with the random pick. It shows the percentage of gains reached when considering a certain percentage of the data set with the highest probability to be target according to the classifier. This paper proposes a broad look at the ideas of cumulative gains chart and lift chart to develop a binary classifier model quality which can be used theoretically to evaluate the quality of a wide range of classifiers in a standardized fashion. This paper proposes a hybrid solution of image hiding binary classifier using vicinity value based image hiding classification model as main complimented by gain calculation to increase image hiding classification accuracy. The study has shown that implementing the image hiding binary classification using Gain and Lift is feasible. Experiment of the study has confirmed that the image hiding binary classification model can be improved.
Re-Ranking Web Data per Knowledge Domain

We propose a re-ranking algorithm to effectively assay and re-sequence the web data crawled by some credited web search engines, to meet the user needs in a domain space. The algorithm studies the structure and semantics of the domain ontology graph and constructs computational relations among nodes. After examining matching terms between ontology dictionary and the textual content (text, metadata) of the retrieved documents, we calculate three-dimensional information scores – distance, direction, and relationship of each document in the top k search result set. We further explore the directional relation with three information degrees: granularity, diversity and generality, and subsequently re-rank the retrieved documents.
IMPLEMENTASI BOX MODELING DAN CONTORING MODEL PADA ANIMASI MERAKIT PC MENGGUNAKAN 3DSMAX

Current technological developments, especially in the 3D field experienced a lot of progress. 3D Modeling is the process of creating 3D objects that want to be expressed in a real visual form, both in the shape, texture and size of the object. Making 3D models of objects or objects using a computer to make objects look more alive and in accordance with the original object. The method applied in PC assembly animation is the Modeling Box and Contoring Model using 3DSMax. The results of this study can provide a picture for beginners in assembling a PC.
Rank and Kernel of Additive Generalized Hadamard Codes

A subset of a vector space <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathbb {F}_{q}^{n}$ </tex-math></inline-formula> is additive if it is a linear space over the field <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\mathbb {F}_{p}$ </tex-math></inline-formula> , where <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$q=p^{e}$ </tex-math></inline-formula> , <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$p$ </tex-math></inline-formula> prime, and <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$e&gt;1$ </tex-math></inline-formula> . Bounds on the rank and dimension of the kernel of additive generalised Hadamard (additive GH) codes are established. For specific ranks and dimensions of the kernel within these bounds, additive GH codes are constructed. Moreover, for the case <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$e=2$ </tex-math></inline-formula> , it is shown that the given bounds are tight and it is possible to construct an additive GH code for all allowable ranks and dimensions of the kernel between these bounds. Finally, we also prove that these codes are self-orthogonal with respect to the trace Hermitian inner product, and generate pure quantum codes.
Innovación educativa ante el Covid-19: una perspectiva comparada en el contexto mexicano

The health contingency due to Covid-19 has changed the way teaching and learning are conceptualized in the 21st century. This article presents a systematization of educational experiences in two university settings during the pandemic: Universidad Autónoma Metropolitana (Mexico City, Mexico) and Tecnológico de Monterrey (Monterrey, Mexico). Starting from a conceptualization of innovation as a practice of social adaptation (González-Nieto, Fernández-Cárdenas &amp; Reynaga-Peña, 2019) and from community inquiry networks (Garrison, Anderson and Archer, 1999), this article addresses the innovative educational practices of two teachers drawing from a comparative methodological perspective (Manzon, 2018). This research considers the principles of participatory-action research (Ander-Egg, 2003) as a reference to carry out a process of systematization of the university environment (Jara, 2018), with the purpose of informing the successful teaching practices that can be incorporated in other contexts and academic periods. To carry out the analysis, factors such as the funding origin of the university (public / private), its educational level (undergraduate / postgraduate), technological platforms, the topics addressed, the forms of evaluation, the pedagogic strategies, and the educational policy of each educational institution. The results indicate that the comparison in education is a key element to promote collegiate work and educational innovation, that the formation of learning communities has a positive impact on the formation of digital identities and their corresponding academic success, and that the use and interactive design of technological platforms affects the good practices of remote teaching. This study, therefore, responds to the urgent need to rethink educational paradigms, which is why it becomes a starting point to systematize new pedagogical experiences and their corresponding capabilities in emergency contexts, such as that of health contingency by Covid-19.