Reviewerly/exHarmony huggingface dataset:
nn AN ANALYSIS OF MORPHOLOGICAL AND SYNTACTICAL ERRORS IN RECOUNT TEXT

The purpose of this study is to determine the morphological errors and syntactic errors made by students in writing recount text, frequency of errors, types of dominant errors and sources of errors. The research method used is qualitative research. The data from this study are 70 recount texts made by students of tenth grade in SMK Negeri 9 Kota Bekasi. The research found that there were still many mistakes made by the tenth grade students of SMKN 9 in Bekasi in writing English recount text. For morphological errors the researcher found that students made 56 errors which included single errors with the number of errors 4 (7.14%), plural form errors with number of errors 5 (8.93%), errors belonging to the number of errors 8 (14.29%), errors to infinitive with the number of errors 9 (16.07%) and the formation error in the past with the number of errors 30 (53.57%). While for syntactic errors, the researcher found that students made 113 errors which included omission errors with 47 errors (41.60%), addition errors with 24 errors (21.24%) and formation errors with 42 errors (37.16%). This shows that grammar is a weakness of students in writing essays, especially recount text. From the results of the study it was found that students experienced obstacles in writing caused by interlingual factors, intralingual factors and excessive generalization. Thus students' writing skills are still weak.
Review of Fundamental to Know about the Future

What we consider fundamental elements can be easily overlooked or perceived as facts without the process of empirical testing. Especially in the field of cybercrime and cybersecurity, there are more speculations regarding the prevalence and the scope of harm carried out by wrongdoers than empirically tested studies. To fill the void, three articles included in the current issue addresses empirical findings of fundamental concerns and knowledge in the field of cybercrime and cybersecurity.
Real-Time Arbitrary Style Transfer with Convolution Neural Network

Style transfer is a research hotspot in computer vision. Up to now, it is still a challenge although many researches have been conducted on it for high quality style transfer. In this work, we propose an algorithm named ASTCNN which is a real-time Arbitrary Style Transfer Convolution Neural Network. The ASTCNN consists of two independent encoders and a decoder. The encoders respectively extract style and content features from style and content and the decoder generates the style transferred image images. Experimental results show that ASTCNN achieves higher quality output image than the state-of-the-art style transfer algorithms and the floating point computation of ASTCNN is 23.3% less than theirs.
Motivasi Minat Belajar Putra Putri Warga Kelurahan Jagakarsa

Motivation is important in shaping how much students ask to learn. Motivation also affects how many students will learn from a learning activity, or how much absorption of students in capturing the information presented to students. Improving student learning motivation is one of the integral activities that must exist in learning activities. In addition to providing and transferring knowledge, the teacher also has the duty to increase children's motivation in learning. We cannot deny that students' motivation to learn from one another is very different, for this reason it is important for the teacher to always provide motivation to students so that students always have the spirit of learning and be able to become students who excel and can develop themselves optimally.
PEDAGOGIC DIAGNOSTIC METHODS OF JUVENILE CONVICTS SOCIAL HEALTH: EXPERIMENTAL STUDY

Convicts social health is regarded by the authors of the article as the state of social welfare including the ability to support the socially healthy relationships in the society. To diagnose this state of ability among the juvenile convicts serving sentences in the correctional colonies is of special importance. According to the experimental study there is not enough work done to develop social health among juvenile convicts in the places where the imprisoned are stayed. The hypothesis of the investigation is the assumption that to form the social health among convicted male minors in the juvenile correctional facility will be more successful if they participate in the project “Book is the source of new life and the way to rehabilitation.” To diagnose the state of social health of juvenile convicts the following methods and techniques have been used, they are watching, talking, summative assessment, formative assessment, testing, The Test of Viability by D.A. Leontyev, The Questionnaire: Health, Activity, Mood (by V.A. Doskin, N.A. Lavrentyeva, V.B. Sharay, M.P. Miroshnikov); Success Stimuli and Failure Fear methods by A.A. Rean. The summative assessment procedure was held in March 2019, the formative assessment experiment had been conducted for 3 months (from April till June 2019). The summative assessment has shown that juvenile convicts have weak viability, reduced level of well-being, and activity, and mood as well; there is a low level of success stimuli and high level of failure fear. The results of formative assessment have shown that the participation in the Project helps to form viability, activity, cheering up, decreasing of failure fear, increasing of success motivation; and it assists conforming social health of juvenile convicts as a whole.
PERBANDINGAN BEBERAPA METODE DEBIT PUNCAK BANJIR RANCANGAN COMPARISON OF SOME PEAK DISCHARGE FLOOD DESIGN METHODS

Peak discharge flood analysis is very crucial in waterworks design. The proper design flood discharge will produce effective construction dimensions as project requirement. Therefore, flood design calculations must be analyzed using appropriate methods. The problem in estimating design flood discharge is usually found in ungauged watersheds which do not have any water discharge measuring equipment.This study wants to test the flood design method using rain data input to be applied to the Babak River, so the result can be used as a guide in the selection of flood discharge calculation techniques in other ungauged watersheds.The accuracy test is carried out by comparing the results of these methods with the flood design resulted from a frequency analysis of the Annual Maximum Series. Based on the results of the calculation, the peak flood of the Harpers method has the smallest RE and RMSEP values are 8.960% and 88.546 respectively. Thus, it can be concluded that the calculation of the design of the flood peak Haspers method has the best accuracy of the analysis results when compared with the Melchior and Weduwen methods for Babak River.
Resources: Search Engines: Education Engines

Google is not the only search engine!! Try out some of these alternate and specialty search engines.
KAJIAN PENGELOLAAN PERSONNEL FILES BERBASIS ELEKTRONIK: STUDI KASUS KANTOR REGIONAL II BADAN KEPEGAWAIAN NASIONAL (BKN) SURABAYA

This paper examines the procedures for managing electronic files based personnel. The research locus is in Regional Office II of the National Personnel Agency (BKN) Surabaya. Human resource management organizations create personnel files or personnel files that are managed in a certain way in accordance with the vision and mission. Basically, personnel files created by the State Personnel Agency are a vital type of archive. The data used consists of primary data and secondary data. Data collection methods used in this study are observation, interviews, and literature study. Observations or observations made at the Regional Office II of the National Personnel Agency (BKN) Surabaya. The interview aims to add information through the staffing administration. Literature study is used to collect data in order to strengthen the exposure that has been described by the author. Management of personnel files at Regional Office II of the Surabaya National Personnel Agency (BKN) based on the storage media is done physically and electronically. Electronically, the management of personnel files is carried out starting from scanning or scanning, storing and maintaining.
KLASIFIKASI OPPORTUNITY MENGGUNAKAN ALGORITMA C4.5, C4.5 DAN NAÏVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION

Predicting an opportunity whether to be successful (buy) or not (no), with the aim to increase selling for target achievement of marketing. Marketing is required to find a good opportunity so that it can be a prospect of sales in great value and the long term. In this research, the dataset is taken from a CRM application (Customer Relationship Management) at PT. XYZ, sales of telesales team in January - March 2016. From these results, the PSO-based C4.5 algorithm has the highest accuracy and AUC value. In this research comparative algorithms C4.5, C4.5 based PSO, and Naïve Bayes using Confusion Matrix testing methods and ROC curves. The highest accuracy value using PSO-based C4.5 algorithm is 80,90% with AUC value 0.833 is good classification, next is Naïve Bayes based PSO algorithm with accuracy value equal to 83,15% and value of AUC 0,894 is good classification, the last C4.5 algorithm the lowest accuracy value of 66.67% with AUC 0.592 is failure classification. From these results, the PSO-based C4.5 algorithm has the highest accuracy.
Conceptual Framework of Dynamic Scrum Model and Knowledge Management for Software Product Management

Software development methodologies and knowledge management (KM) are a dynamic part of core challenge of the organization in order to deliver on time with less effort and efficient software product. Scrum model is widely known as one of the best common software development methodologies and this paper has conducted a survey on how to transfer the knowledge between team members. Moreover, the Scrum model relies on daily stand-up meeting or daily scrum meeting for capture and share knowledge. Thus, this paper investigates Scrum model and knowledge management process on how to improve the proficiency of knowledge sharing among the software practitioners with less time and effort. It also proposes a conceptual framework where it stores and retrieves the tacit knowledge via Scrum model for software product management. This proposed conceptual framework is used to store and retrieve the tacit knowledge via Scrum process for software product management to save a time consuming and effort.
KAJIAN PROSEDUR PEMINDAHAN ARSIP: STUDI KASUS DI BANK INDONESIA

This paper describes the procedure for transferring records carried out by Bank Indonesia. Transfer of records is one part of the shrinking program archive. Transfer of records is important to do to protect records that have a use value and to avoid stacking records. The data used in the study are primary data and secondary data. Primary data were obtained from observations or participatory observations, in-depth interviews with records managers, as well as studies of archival policies issued by Bank Indonesia. The secondary data in the form of an assessment of library materials. The conclusion obtained from this paper is the transfer of records at Bank Indonesia using two methods, namely conventional methods and application-based methods. Guidelines for moving records have also been referring to international standards, namely ISO 15489-2016. The facilities and infrastructure used in the transfer of records are also in accordance with archival standards with adequate capacity. In carrying out the activities of the shrinking of the archive was not found significant obstacles.
An English Cover Letter Essential Wordlist for Second Language Learners

Writing a cover letter is an essential part of the job application process. To find ways to improve second language learners’ cover letter writing ability, this author examined cover letters to create a list of words that are essential for writing English cover letters. A Cover Letter Essential Word List (CLEWL) of 347 words was created from a corpus of 400 cover letters. The CLEWL was analyzed in terms of its make-up, lexical coverage, and lexical frequency profile. This study presents those findings, as well as suggestions for teaching words from the CLEWL. カバーレターを書くことは就職活動に不可欠な部分である。本論では第2言語学習者のカバーレター作成能力を向上させる方法を見つけるために、英語のカバーレターの文例を調査し、カバーレターを書く上で不可欠な単語リストを作成した。400枚のカバーレターのコーパスから、カバーレターの必須単語リスト（CLEWL）347語を作成し、それを構成、語彙の範囲、および語彙頻度プロファイルの観点から分析した。 本論ではその調査結果について述べ、CLEWLの単語を教える方法を提案する。
TEACHING STRATEGIES USED BY THE LECTURERS AND STUDENT’S RESPONSE IN ENGLISH SPEAKING CLASS

This research aimed to find out teaching strategies used by the lecturers and the Students’ Response to the teaching strategies used by the lecturers in English Speaking Class. This research used a quantitative method. The population of this research was the third-semester students while the sample was 60 students from that population that was taken selectively. The instruments of this research were observation and questionnaire. The first lecturer used telling the story and oral interview while the second lecturer used to role-play and oral interview. Students’ response in the first class for telling story strategy strongly agreed 22.50 %, agree 50.42 %, neutral 24.58 %, disagree 2.08 %, strongly disagree 0.42 %. Therefore, the score range was 3.93. While for oral interview strategy were strongly agree 24.29 %, agree 47.62 %, neutral 26.19 %, disagree 1.90 %, strongly disagree 0 %. Therefore, the score range was 3.94. Students’ response in the second class for role-play were strongly agree 9.58 %, agree 45.83 %, neutral 24.17 %, disagree 14.17 %, strongly disagree 6.25 %. Therefore, the score range was 3.38. While for oral interview strategy were strongly agree 12.38 %, agree 38.57 %, neutral 33.81 %, disagree 8.10 %, strongly disagree 7.14 %. Therefore, the score range was 3.41. The result showed feedback on in the first class, it has been proven that more attractive lecturers to students than the “storytelling” strategy on the first-class use the “oral interview” strategy. Whereas in the second class, it has been proven that lecturers use the “oral interview” strategy is more attractive to students than the "telling story" strategy on the Second class.
Reports from the 2019 Charleston Conference, Charleston, SC November 4–8, 2019

Welcome to another edition of E-Resource Round Up! This issue’s covers a wide range of e-resource topics, including:Reports from the 2019 Charleston ConferenceReports from the 2019 Access Conferenc...
Impact Analysis of Legacy System Migration to the Cloud Environment: A Focused Study

Although "Legacy System" frameworks are frequently worked over numerous years by a blend of IT and business specialists.They stay inflexible inside the authoritative setting and business speculation made by practical applications.Semantic Design provides highly automated tools and services to migrate legacy system to a new platform.The proposed migration of the legacy software life cycle model is used for legacy migration.Legacy modernization encourages the organization to rejoin to the changing interest in the business world.Manufactured goods conveyed through the cloud give the organization both new chances to expand their business and to manage expenses.The researchers concurred that the different legacy programming languages are discussed as in the result section.Both interoperability considerations and incorporation, expand upon measures for SaaS, PaaS, and IaaS in IT Business in the cloud market, has increased.
Optimasi Naive Bayes Menggunakan Algoritma Genetika Sebagai Seleksi Fitur Untuk Memprediksi Performa Siswa

In this globalisation era, the morality tenegers decrease.This fenomena can be seen on mass or electronic media. Mass or electronic media inform that the negatif case often happend on teenegers community. Negatif case such as brawl, drug, gambling, rape, disobidience to parents, and others. The cause of negatif case is not from himself or hisself but it is triggered by bad customs. The less of parent attention, the low of parent relation quality can inflict bad customs from children. Parent education, parent job, the parent support of education can influence children mainset. How long time children study, how long time children have sparetime, how long time children make friend, and how long time children acess internet can influence mainset of children. The customs of children explained on sentences before, can be measured by science and tecnology. Data Mining that is branch of computer science can measure how much quality children or adult perform based on custom framer indicator. In the last research of student performance using Naive Bayes Methode, the number of attribute is too much (33 attribut) and the score of accuracy is 91.15 %. In this research, the researcher optimize attributes of the last research using Genetic Algorithm. Genetic Algorithm can choose relevant attribut. The choice of relevant attributes can increase score of accuracy. The score of accuracy after using Genetic Algorithm is 97.21 %.
Transformation Prospect of a Non Disaster-Prepared-School in Implementing Management of Child Safety Education

Primary School X is an inclusive primary school that enrolls children with special needs, located in a disaster-prone area and never been exposed to information and training related to child safety education. The purpose of this study is to investigate the readiness of Primary School X as a non disaster-prepared inclusive-primary-school in implementing child safety education management. This study combined descriptive and analytic studies. Descriptive study was used to assess school management condition through 28 assessment and was conducted through interviews, document study and observation. The analytic study used was quasi-experimental study with one group pre- and post-test design. The result showed that the readiness level of Primary School X to transform into multi-disaster-based child safety was 36%, which is included into transformation “ready” category.
An Investigation of a Convolution Neural Network Architecture for Detecting Distracted Pedestrians

The risk of pedestrian accidents has increased due to the distracted walking increase.The research in the autonomous vehicles industry aims to minimize this risk by enhancing the route planning to produce safer routes.Detecting distracted pedestrians plays a significant role in identifying safer routes and hence decreases pedestrian accident risk.Thus, this research aims to investigate how to use the convolutional neural networks for building an algorithm that significantly improves the accuracy of detecting distracted pedestrians based on gathered cues.Particularly, this research involves the analysis of pedestrian' images to identify distracted pedestrians who are not paying attention when crossing the road.This work tested three different architectures of convolutional neural networks.These architectures are Basic, Deep, and AlexNet.The performance of the three architectures was evaluated based on two datasets.The first is a new training dataset called SCIT and created by this work based on recorded videos of volunteers from Sheridan College Institute of Technology.The second is a public dataset called PETA, which was made up of images with various resolutions.The ConvNet model with the Deep architecture outperformed the Basic and AlexNet architectures in detecting distracted pedestrian.
Artifacts: A menace in histopathology

Introduction:The word 'artifact' is derived from the latin words, 'Ars' (art) & 'factum'(made).The study was undertaken to know the prevalence and patterns of artifacts.Materials & methods: This is a cross-sectional observational study.250 consecutive hematoxylin and eosin (H&E) stained sections were retrieved from the archives and analyzed for artifacts under light microscope.Results: Among 250 slides, 227(90.8%)showed the presence of artifacts.The folding artifact was the most prevalent constituting 98(43.17%)and excess mountant 6(2.64%) was least common.Conclusion: Folding artifacts were the most prevalent pattern in this study.Proper technical measures need to be employed in order to prevent/minimize the occurrence of artifacts in a skillful manner, as they may pose diagnostic difficulties.
Вибір основних параметрів адаптивних систем обробки експериментальних даних

Optimization of the adaptive system of processing of experimental data is taken to the receipt of analytical dependences for objective functions (for example, errors of measuring); to being of correlations for the tasks of optimization; decision-making on one of the chosen criteria. For the estimation of efficiency of the adaptive system the joint analysis of effect is needed from her application at implementation of aggregate of terms realizing the accepted principles and expenses of different kind on their achievement. For CASS of processing of experimental data it is necessary in an algorithm and "metal" to mortgage to possibility of adaptation on speed of treatment, increase of exactness et cetera. To the users of the systems possibility of changing of co-operating must beprovided with the system both from the type of parameters of datains subject to treatment on the fixed programs and from the state of database on a concrete problem.Ref. 4
CYBER SECURITY FRAMEWORK FOR NIGERIAN CIVIL AVIATION AUTHORITY, HEADQUARTERS

The practice of defending assets from unauthorized access, use, disclosure, disruption, modification, perusal, inspection, recording or destruction is as ancient as man's existence on earth.Cybersecurity, information security, and computer security are further attempts of man to continue the same ancient practice.This is due to the unavoidably prevalent need and use of information and communication technologies in this century, which has left the man with such vulnerability and insecurity through its devices and infrastructures.The aviation industry, being one of the most economic and leisure viable industry in the world has been at the top-notch of the use of these technologies for better services to man.Nigeria Aviation industry is one of the largest and most viable in Africa is opened to the vulnerabilities and cyber threats that comes with these advanced technologies.However, several methods and programs have been employed by various organizations and stakeholders, but, the Nigerian Civil Aviation Authority (NCAA), been the apex governing body that control, monitor and regulate the economic and safety oversight of the entire Aviation industry in Nigeria seems not to have gotten it right with the recent trends of cyber warfare in the industry as opposed to their counterparts in the world over.Therefore, this research study attempts to employ data from existing literature and questionnaires to analyze the existing practices of cyber/information security programs (if any) within the NCAA and to design an adaptable cybersecurity framework that is robust enough for its safety.By using version 3.9.3 of Waikato Environment for Knowledge Analysis (WEKA) software, Naïve Bayes, Bayes Net, Decision Table, IBK (Linear NNSearch), REP Tree, J48, SMO, Simple Logistic, and Bagging are the nine algorithms employed to determine and predict tier classes as existing profile and target profile respectively for NCAA within the framework.SMO emerge best fit to predict the target profile while the Bagging algorithm emerges best fit to determine the current profile.Gaps and implementable action plans were deduced.Thereafter, the RNA Cyber Security Framework (RNA-CSF) is conceptually developed, analyzed and proposed for NCAA and for any other organization that has the need to use it.