Reviewerly/exHarmony huggingface dataset:
ADALINE Neural Network For Early Detection Of Cervical Cancer Based On Behavior Determinant

Purpose: Cervical cancer is one of the most common types of cancer that kills women worldwide. One way for early detection of cervical cancer risk is by looking at human behavior determinants. Detection of cervical cancer based on behavior determinants has been researched before using Naïve Bayes and Logistic Regression but has never using ADALINE Neural Network. Methods: In this paper, ADALINE proposes to detect early cervical cancer based on the behavior on the UCI dataset. The data used are 72 data, consisting of 21 cervical cancer patients and 51 non-cervical cancer patients. The dataset is divided 70% for training data and 30% for testing data. The learning parameters used are maximum epoch, learning rate, and MSE. Result: MSE generated from ADALINE training process is 0.02 using a learning rate of 0.006 with a maximum epoch of 19. Twenty-two test data obtained an accuracy of 95.5%, and overall data got an accuracy value of 97.2%. Novelty: One alternative method for early detection of cervical cancer based on behavior is ADALINE Neural Network.
THE USE OF ORAI MOBILE APPLICATION TO TEACH SPEAKING IN EFL CLASSES

This paper is aimed to describe how to implement ORAI mobile application to teach speaking in EFL classes. As library research, the data were collected by analyzing articles, journals, and papers. This paper used descriptive qualitative method. The finding of this paper whowed that the use of ORAI mobile application is effective for learning speaking skill. The students feel fun and confident in speaking after learning through ORAI. Although it is famous as an application to improve speaking skill but it eventually can be used for the other skills as well. The teacher wil be helped to maximize the students in practicing to speak in English. ORAI mobile application can be used to control the students’ progress in speaking especially in pronounciatation. This paper discusses the modified version of ORAI mobile application, and then argue the expected impacts of the implementation.
Practical teaching and professional practice in higher education

Ideas about work-based learning and learning through practical experience have been represented in pedagogical theory and practice for a long time. Their importance is actualised in conditions of wider practical application of competency-based education. Practical teaching and professional practice should constitute an integral part of higher education programmes aimed at developing professional competencies. Practical teaching usually occurs as a part of different subject programmes, whereas professional practice occurs as a separate component of study programmes. The extent to which practical teaching and professional practice will be represented in the overall programme as well as the organisational form in which they will occur depend on professional (vocational) profiles implemented in education. Practical teaching and professional practice are highly important in implementing vocational (professional) profiles in the field of education, such as the professional profile of a pedagogue. This paper provides basic explanations of concepts of work-based learning and learning through practical experience that can be viewed as having theoretical origins in noticing the importance of practical teaching and professional practice as integral parts of educational programmes. In addition, the issue has been examined relating to the roles of practical teaching and professional practice in achieving the basic objectives and outcomes of higher education aimed at developing professional competencies. A separate section of the text provides an overview of the position and share of professional practice in the pedagogy study programme implemented at the Department of Pedagogy and Andragogy of the Faculty of Philosophy of the University of Belgrade. As part of this overview, a summary has been given of experience in delivery of compulsory professional practice in school for students of Year Four of bachelor academic studies of pedagogy in the 2019-2020 academic year under the emergency school work conditions caused by the pandemic.
Irrational Perception Of Distance Learning By Students

The coronavirus pandemic has caused global changes in people's lives. Virtualization processes began to grow exponentially. Millions of people found themselves in a remote virtual work form, and as a result, their pace of living and self-perception changed. The authors analyze students' perception of distance learning, which has significantly increased in Russia after the coronavirus pandemic in 2020, and consider objective and irrational conditions for assessing distance learning. We carry out the analysis of the study results conducted in 2020 with the help of a mass survey among young people aged 18 to 23 for distance education assessment in the digital world, development of virtual learning space, as well as structural-symbolic analysis of changes in education conditions and forms in the process of distance virtual education. Both rational and subjective strategies are identified to explain the nonavailability of students and teachers for distance learning. Study shows rather problem areas, difficulties and contradictions in the distance learning implementation in Russia in connection with the coronavirus pandemic. As one of the possible options, and reasonably expected vector for the future education of students in the distance form, it requires significant comprehensive thoughtfulness and elaboration at different levels. The authors outlined main tasks for distance learning optimization and development of its virtual forms for necessary experience obtaining.
Implementing the Transparency and Openness Promotion Guidelines for data and code to support computational reproducibility within the New Zealand Journal of Ecology

The New Zealand Journal of Ecology has chosen to implement Level 1 of the data and code TOP Guidelines as of January 2022; 46(1). The Level 1 requirements are that while there are no expectations to share data or code, authors will be required to be clear about the situation. Simply stating if data or code are openly available or not can be extremely helpful, as attempting to ascertain this fact directly from the authors can be difficult and time-consuming, given the rate at which corresponding author emails cease to function.
Algoritma RSA (Rivest–Shamir–Adleman) pada Sistem Informasi Pemilihan Ketua Organisasi Ikatan Pondok Pesantren Smart-SIPKOTREN

The objectives of this research are; 1) Help simplify the process of selecting the chairman who previously used the manual method or did not have a web-based evaluation application, 2) This application can secure the details of the names that have chosen the chairman through the admin, only the admin knows, and 3) Improve speed and accuracy the results of the e-voting data that replaced the previous conventional voting system were carried out manually. In making the application, implementing RSA (Rivestâ€“Shamirâ€“Adleman) on the e-voting system that was built, for designing the application using web-based programming languages such as HTML, PHP, and MySQL used as e-voting database management. The results showed that the e-voting application simplifies the vote-counting process because it is done online and you can find out directly the results of the upcoming elections, without the need to count votes like a manual selection process. the participation of students in Islamic boarding schools is determined as the maximum power. The election of the head of the hut has become an inseparable part of the hut, almost all the huts hold elections. The election of the chairman is the procedure for selecting the representative of the booth in the booth based on the majority of votes.
RANCANG BANGUN ROBOT PEMINDAH BARANG BERBASIS MIKROKONTROLER

This study generally aims to design an information system that can handleproblems in putting and sorting goods into warehouses at CV. Sekar Intan KIC Gatsu,Semarang. In terms of using the Information System, CV. Sekar Inran KIC Gatsu,Semarang. In the transfer and sort of goods in the warehouse still using a manualsystem when the implementation, warehouse employees must take and place the goodsto the warehouse that has been determined each - each type of item, so employees mustcalculate the number of items when the goods take place, here various problems occur,because it requires some HR to manage the warehouse performance process at CV.Sekar Intan.To support the research, researchers used Research and Development (R &amp; D)research methods through the microcontroller-based moving robot design simulationdesign stages that have been tested by experts declared valid with Valid validity levelsand final product development design simulation prototypes carried out. goods transferrobot uses Arduino IDE development software that is integrated with Arduino Mega2560, 6 pin line sensor, dc motor, motor driver, servo motor, motor driver, lcd, and hasbeen tested in the field by General Adv. Administration and HRD as users / users andstated to be very effective.Based on the results of the research and discussion, it can be concluded that therobot design system developed can overcome the problems in the old system on the CV.Sekar Inran KIC Gatsu, Semarang, so as to produce a system that can facilitate workprocesses and parking processes for employees to be more effective and efficient.Keywords: Arduino IDE integrated with Arduino Mega 2560, 6 pin line sensor, dcmotor, motor driver, servo motor, motor driver, lcd.
Pelatihan Troubleshooting Instalasi Linux Debian Dengan Text Mode Dan Graphic Mode Di SMK Negeri 5 Palembang

Community service activities are carried out at SMK N 5Palembang. This training activity aims to improve the competence ofstakeholders in SMK N 5 Palembang, consisting of productive teachers,students and student councils. This activity is carried out by the pratikummethod and question and answer procession about troubleshooting andinstallation both in text mode and graphic mode. The benefits obtained ininstallation training using text mode are very light in operation and quite fastin the installation procession while by using graphic mode is using enoughprocessor and ram resources, thus reducing acceleration and installationspeed.
Deep Learning for Text Attribute Transfer: A Survey

Driven by the increasingly larger deep learning models, neural languagegeneration (NLG) has enjoyed unprecedentedly improvement and is now able togenerate a diversity of human-like texts on demand, granting itself thecapability of serving as a human writing assistant. Text attribute transfer isone of the most important NLG tasks, which aims to control certain attributesthat people may expect the texts to possess, such as sentiment, tense, emotion,political position, etc. It has a long history in Natural Language Processingbut recently gains much more attention thanks to the promising performancebrought by deep learning models. In this article, we present a systematicsurvey on these works for neural text attribute transfer. We collect allrelated academic works since the first appearance in 2017. We then select,summarize, discuss, and analyze around 65 representative works in acomprehensive way. Overall, we have covered the task formulation, existingdatasets and metrics for model development and evaluation, and all methodsdeveloped over the last several years. We reveal that existing methods areindeed based on a combination of several loss functions with each of whichserving a certain goal. Such a unique perspective we provide could shed lighton the design of new methods. We conclude our survey with a discussion on openissues that need to be resolved for better future development.
Data Normalization and Standardization: Impacting Classification Model Accuracy

In this paper, it was aimed to see the impact of the data normalization on the accuracy of classification model.In first part of this paper, the structure of dataset, features and basic statistical analysis of the data is represented.In this research, the study is done with the medical data set about the patients with the Diabetic disease.In second part of this paper, we present the process of data normalization and the impact of scaling data on the classification model performance.In this research, Deep Learning model is used for classification purpose.The main classification task was to classify whether the patient is diabetic or non-diabetic.Since the data set contains more numerical parameters of different scaling, the main aim of this paper was to investigate the impact of the data normalization (scaling) on the performance of the classification model.The purpose of the study is to show the difference in accuracy achieved by classification model with and without the use of scaling or normalization.
Deep Clustering of Text Representations for Supervision-Free Probing of Syntax

We explore deep clustering of multilingual text representations for unsupervised model interpretation and induction of syntax. As these representations are high-dimensional, out-of-the-box methods like K-means do not work well. Thus, our approach jointly transforms the representations into a lower-dimensional cluster-friendly space and clusters them. We consider two notions of syntax: Part of Speech Induction (POSI) and Constituency Labelling (CoLab) in this work. Interestingly, we find that Multilingual BERT (mBERT) contains surprising amount of syntactic knowledge of English; possibly even as much as English BERT (E-BERT). Our model can be used as a supervision-free probe which is arguably a less-biased way of probing. We find that unsupervised probes show benefits from higher layers as compared to supervised probes. We further note that our unsupervised probe utilizes E-BERT and mBERT representations differently, especially for POSI. We validate the efficacy of our probe by demonstrating its capabilities as a unsupervised syntax induction technique. Our probe works well for both syntactic formalisms by simply adapting the input representations. We report competitive performance of our probe on 45-tag English POSI, state-of-the-art performance on 12-tag POSI across 10 languages, and competitive results on CoLab. We also perform zero-shot syntax induction on resource impoverished languages and report strong results.
The Development of Assessment Instrument Models of Malay Dance Art

The purpose of this study was to determine and analyze: (1) the appropriateness of the Malay dance assessment instrument model to measure dance competency, (2) the validity and reliability of the dance assessment instrument model, and (3) the effectiveness of the Malay dance assessment instrument model to measure artistic competence dance.The research method used is development research.The resulting assessment tool was validated by an expert, then, continued with individual tests, small group tests and field groups.Testing the effectiveness of the learning model is done by testing the t test statistic.The research findings show: (1) the model of the Malay dance assessment instrument was developed starting from the needs analysis, design, evaluation and trial stages to produce model books, instructor manuals and assessment instruments for Malay dance that have been validated by experts and the results show the level of feasibility to be used for measuring the competence of dance, (2) the dance assessment instrument developed has a high level of validity and reliability, and (3) the dance assessment instrument model is proven to be effective, this can be seen from the results of statistical testing where the calculated price is known (5,60) > ttable (1.99), so it can be concluded that the assessment instrument model is effective for measuring the competence of dance
Mobile-Based Application for Agricultural Crops of Silang, Cavite

Farmersâ€™ awareness on fast-moving developments in technologies affects the agriculture operations. Smartphones have been useful in agriculture for their mobility and accessibility. The mobile-based application for agricultural crops of Silang was designed to provide information about crops. Information includes health benefits of the fruits, uses of the crops, and how its different parts can be develop to another product. The application is the first step towards understanding the benefits of the by-products of the crop in interactive way. The software development was anchored on agile model. The performance of the application was evaluated by 40 persons composed of subject matter experts including crops farmers and agriculturist, IT experts and potential users. The developed application was rated using Core App Quality Standard utilizing the criteria of Visual Design and User Interaction, Functionality, Compatibility, Performance and Stability, and Security. The appâ€™s performance was adherent to the standard as verified by the appâ€™s overall rating of excellent. The application will be able to help the crop farmer to get information in utilizing wastes into by-products, hence would be an opportunity to augment their income. It is recommended that the application may be added with crops available from other regions and consider a dynamic and cross-platform version of the app to maximize potential users.
Consciousness As Dynamic Integrity: Sensory And Rational Unity

Dialectics has always recognized the unity of sensory and rational components of consciousness.At the same time, the division of cognitive activity into two stages (phases, steps, periods) stemming from Parmenides is not dialectical; for this reason, mutual penetration of the two stages was persistently imposed.Another stage (phase, step) has been introduced in Marxism: practice in which the unity of the corporeal and the incorporeal, and the sensory and the rational is obvious.In this study, however, the emphasis is not on practice but on verbal, terminological evidence of the dialectical unity, which is found in ancient and medieval philosophy, and in German classics.The authors emphasize the dialectical unity and difference between ontological and gnosiological approaches to bring into focus the unity and difference of the stages of cognition, their mutual "penetration" and crossing, and reveal the linguistic possibilities of expressing these dialectical transformations.An ideal image "in itself" can exist for a long time in consciousness and not become a linguistic meaning: in this case, it is simply a signal of the neurophysiological code.Feelings, sensations, more complex emotions, and many types of representation are not verbalized until they are conceptualized and comprehended.It can be said that in this case, feelings get control over man; however, when feelings and emotions are comprehended and verbalized, man masters his emotions.The term signification lift is proposed by us to denote the procedure of increasing the degree of abstraction in comparison with the initial form of sensation.
PERANCANGAN SISTEM INFORMASI SMART CLUSTER BANDUNG

The purpose of this study is to provide assistance to citizens in terms of correspondence between citizens and heads of citizens and discussion forums for citizens to interact with each other. Smart Cluster Bandung is an application that was created and developed by Universitas Komputer Indonesia students. Smart Cluster Bandung is a CSR (Corporate Social Responsibility) program as a form of the company's duties and responsibilities towards its social environment. In this case, the Bandung smart cluster makes the media to bridge between citizens and head of citizens. As well as a means of strengthening relations between citizens. Using this facility can be used as a place to stay in touch with local residents. In this study using a development system prototype. While the research method used is descriptive discussion by conducting interviews and observations. The results of this study provide positive results for residents in the cluster.
Determining Moodle Self-Efficacy Based On Language Online Learning Environment In Higher Education

The Learning Management System (LMS) self-efficacy determined that the learner established their capabilities and confidence through a positive mindset of virtual learning activities. The integration of experiences and abilities was developed to impact Moodle as an electronic facility efficiently. The purpose of the study was to aim the investigations and determination to the LMS Moodle Self-efficacy in language learning pedagogy. The study’s design was conducted mixed research method collaborated to the quantitative and qualitative approach, and sequential basic structuralized applied to the sequential phase (quantitative and qualitative). The objective of the study took on the 257 language learners in Higher Education. The application scale of LMS Moodle self-efficacy integrated into language learning in Higher. It involved the 22 questionnaires in selecting dichotomy to agree and disagree point of the Likert scale. The study’s result had exposed the three-scales enhance to the platform of Moodle self-efficacy of accessing, Moodle self-efficacy of communication, and Moodle self-efficacy of electronic testing and feedback. The exploratory LMS Moodle self-efficacy had a maximum point range of around 0.73 and 0.92, and the condition had established to the participants’ respondents and variation in each statement. Consequently, these three scales demonstrated unbiased responses toward the questionnaire items. The online language learners conduced to comprehend Moodle become the adaptive LMS to implement the English language learning strategy completely. Nevertheless, the communication and versatility access needed to develop well in conducting language learning content so learners would feel encouraged and motivated following virtual language learning.
Role of Integrated Radiology Information System for Emergency Radiology

Background: Emergency radiology has an important role. Based on several studies the factors responsible for delayed emergency care mostly involve imaging. All reports underscore the importance of imaging efficiency and the impact of imaging delays, which increase length of stay and exacerbate emergency department overcrowding, further limiting access to care and ultimately affecting radiographic results.Methods: This research is a qualitative research with a descriptive approach using literature study.Results:One of the problems in emergency services is waiting time as a local imaging barrier. A good RIS configuration is able to describe the workflow in each section, The digital imaging system supports the radiographer's records, including delays in the waiting room, and records of factors affecting scan time. HIS and RIS play a role in increasing patient efficiency and effectiveness. HIS stores, manages and captures information related to patient health activities and statistical data of health organizations. RIS is software that radiology installations use to improve radiological reporting quality and secure patient diagnostic results for years. As well as ensuring a smooth workflow in radiology installations and improving reporting quality.Conclusion: Good RIS integration is able to support the efficiency of emergency patient examinations, optimize patient waiting time and increase patient satisfaction.