Reviewerly/exHarmony huggingface dataset:
Level of Study Skills of Grade 7 Learners in English: as Baseline Study

This study aims to explore the level of study skills of Grade 7 learners in English. This study utilized the researcher made surveyquestionnaire to solicit the answers from the learners regarding their study skills. The respondents of this study were the twentyone (21) purposively sampled Grade 7 learners of Tabgon High School, Goa, Camarines Sur, Philippines who were enrolled in theclass of teacher-researchers for the school year 2018-2019.The statistical tool used was Frequency and Percentage Distribution toquantify the data from the respondents to generate baseline data to be the basis in generating instructional strategies. As reflectedin the results, most of the learners have fair study skills in terms of time management, note taking, test preparation and readingtextbook however, most of the learners possessed average study skills in terms of concentration in studying. Totally, resultsshowed that majority of the students have fair or low level of study skills in English which means that they have deficiency in allstudy skills. Results recommended that teachers should devise mechanisms and interventions to motivate the learners to embracethese study skills. Also, learners should have strong grip on the interventions created by the teachers to improve their academicperformance
Prediksi Tingkat Pemahaman Siswa terhadap Data Nominatif Menggunakan Metode Monte Carlo

Kerinci Regency which was established on November 10, 1957 from the results of the division of 3 provinces, namely West Sumatra Province, Riau Province, Jambi Province. The district which is nicknamed the City of Sakti Alam Kerinci has a population of 253,258 people with an area of ​​3,808 km and consists of 16 sub-districts. So that training, technology, and improving Maunisa Resources are needed in various aspects of Kerinci society. Determine the level of accuracy of the Monte Carlo method simulation between the simulation results and the real data. In this study, the main data used were data for 2017, 2018 and 2019. The variable used in this study was the frequency of student scores in participating in learning. The value data will be processed using the Monte Carlo method assisted by Microsoft Excel for manual search. Student grade data for 2017 is used as trial data to predict in 2018, data for 2018 is used as trial data to predict the number of 2019, and data for 2019 will be used to predict the number in 2020 later. Where the highest prediction result is 96% where there are several competencies that have the same value. So that the average resulting from the predicted accuracy is 95% of the 7 competencies. The test results have clearly formed the boundaries. With an accuracy rate of 95%, it can be recommended to help the UPTD Kerinci District Work Training Center in predicting the level of understanding of students.
MENGUJI FUNGSI K-NN DAN FUNGSI NEURAL-NET PUSTAKA BAHASA R UNTUK KLASSIFIKASI DATA

Classification is a supervised learning method where a classified data set is used as a”training data” to build the classification model, and then the model is applied to a “ test dataset” to verify prediction accuracy. Two methods was explored in this paper, k-Nearest Neighbor(k-NN) and Artificial Neural Network (ANN) to classify three different data sets. The results wascompared and the accuracy of both methods was declared.Keywords: Data Mining, Data Science, Supervised Machine Learning, Classification
Modern Technology Interfaces: Usability, Sociability Challenges and Decision-Making

This chapter discusses the interface aspect and explores the concept of user experience design and how this design is affected by emotions evoked by interface aesthetics and interface functionality. Concepts such as usability and sociability are presented, as well as challenges in decision-making that the designers face. The selected example deals with digital interfaces that allow for interactions between different users, and the design considers the element of user-to-user communication as part of the experience. The type of digital interface explored in the example is one used for mentoring, i.e. it allows for knowledge exchange between the different types of users. The design of the interface can play an important role in improving the user experience. When referring to experience in relation to a specific interface, we generally refer to elements such as interface usability and design features. To achieve improved UX, designers need to consider elements of user experience as part of the design process, and the overall process is referred to as user experience design.
Historic and Clustering Based QoS Aggregation for Composite Services

Web services run in an open, heterogeneous and multi-tenant network environment, which makes the QoS of services uncertain and difficult to be described by a known probability distribution. Therefore, the calculation of QoS aggregation for composite services is facing challenges. This paper presents a new method for the aggregation calculation of composite services. In this method, the QoS of Web services is characterized by the sample space formed by their historical records, and a clustering method is adopted to control the number of samples in the sample space, so as to avoid the problem of combinatorial explosion during the process of aggregation calculation. This method does not need to limit the distribution of QoS, and is suitable for the composite services described by various common workflows and all kinds of QoS attributes. Experiments show that our method has advantages in terms of time cost and computational accuracy compared with the existing methods.
SISTEM INFORMASI IDENTIFIKASI PENJEMPUTAN PADA SEKOLAH KHARISMA MAKASSAR

Children often serve as the object of the crime of abduction, violence, and abuse. The mode of the kidnapping which are often done by the perpetrators by pretending to be a guardian, relative, or family for the child from the school still difficulty in identifying their relatives. The system pick-up school children at the school are still manual charisma where the process that is using their relatives as identity card to pick up. By using the identification card as an identity can still potentially lose cards or forget to bring an identity card as well as the identity of their relatives to abuse. Therefore to increase security on the students at the school that is implementing a system of identification upon arrival by utilizing technologies already existing identification at this time. This research is intended to implement an identification system pick-up students in makassar charisma school where the identification technology in use is the fingerprint.Fingerprint is a tool that is used as the identifier of a person's identity through a fingerprint of the person so that by applying the tool identification in kindergartens can reduce identity abuse because everyone has fingerprints different finger and can increase security on the student in school.By implementing a system of identification of students at school pick-up makassar charisma can increase security and provide convenience for school parties in identifying their relatives.
Exploring and classifying the Arabic copula and auxiliary kāna via enhanced part-of-speech tagging

Arabic syntax has yet to be studied in detail from a corpus-based perspective. The Arabic copula kāna, ‘be’, functions additionally as an auxiliary, creating periphrastic tense-aspect constructions; but the literature on these functions is far from exhaustive. To analyse kāna within the million-word Leeds Corpus of Contemporary Arabic, part-of-speech tagging (using novel, targeted enhancements to a previously described program which improves the accessibility for linguistic analysis of the output of Habash et al.’s 2012 MADA disambiguator for the Buckwalter Arabic morphological analyser) is applied to disambiguate copula and auxiliary at a high rate of accuracy. Concordances of both are extracted, and 10% samples (499 instances of copula kāna, 387 of auxiliary kāna) are manually analysed to identify surface-level grammatical patterns and meanings. This raw analysis is then systematised according to the more general patterns’ main parameters of variation; special descriptions are developed for specific, apparently fixed-form expressions (including two phraseologies which afford expression of verbal and adjectival modality). Overall, substantial new detail, not mentioned in existing grammars, is discovered (e.g. the quantitative predominance of the past imperfect construction over other uses of auxiliary kāna); there exists notable potential for these corpus-based findings to inform and enhance not only grammatical descriptions, but also pedagogy of Arabic as a first or second/foreign language.
Application of Density Based Clustering of Disaster Location in Realtime Social Media

Online life is used as a method of finding information, one of which is Twitter as the medium. The occurrence of natural disasters is very detrimental. Therefore, the application is needed to see natural disasters through social media Twitter. A small number of studies using clustering methods based on Twitter user data density are the beginning of this research. With the availability of data in certain areas makes it easy to group. After that, the data is grouped based on a high degree of similarity. One result of applying this method is the location of the disaster. NER-based rules are used to discover out the area of the disaster. Data accuracy testing is performed using the Silhouette coefficient.
Концепція виховання творчої особистості

At each specific stage of society development, certain guidelines dominate, which set the direction in solving the problems of educating the younger generation. We are deeply convinced that today such reference points are thecreative and aesthetic factors that determine the basis of human spirituality. The essence of the proposed conception is education, an integral component of which is the systematic solution of various creative tasks in an aestheticallyenriched environment. The pupils’ coordinated with age creative activity will contribute to increasing the motivation to work, developing the intellect, maximizing the abilities of each of them. Creative education, as it is understood here,involves the use of different methods, approaches to the child and its orientation towards achieving the most original result during the performance of any work, finding as many possible solutions for each new task as possible, comparingthem to each other, choosing the best by the sum of specific indicators (profitability, environmental friendliness, aesthetics, etc.). In this context, creativity is also understood as ordinary work, the consequences of which are necessaryfor both the performer himself and other people. In some cases it is necessary to use special techniques of creative training KARUS.
Enabling the comparability of research workflows: a case study

As a result of the massive introduction of computer-assisted research workflows in and around the analysis of heritage items, we are today witnessing a blooming of highly specialized, and sometimes obscure for outsiders, data processing chains. Operations conducted on this or that site include a vast range of digitization activities and an equally vast array of post-processing roadmaps.The amount, diversity, and sometimes complexity of these operations are definitely a challenging aspect of the heritage science community’s move towards “more” digital data acquisition and processing. It hinders that community’s ability to identify and share, beyond results, methods and argumentation. In particular, it jeopardizes its capacity to preserve and explain research processes on the long term, and therefore to ensure their reproducibility (obviously a key methodological issue if processes should fall within a “scientific” approach).The paper presents the MEMORIA research, aimed at experimenting a practical solution for the formalization and intersubjective description of research workflows.The initiative bases on the idea that, beyond metadata describing outputs themselves, the scientific community concerned is awaiting for means to ensure their verifiability, reproducibility and comparability. The paper focuses on two aspects:• A real-case experimentation on a series of investigations we have conducted on the historical centre of Krakow (Poland) over the last 15 years.• A feedback on difficulties to foresee at a methodological level, for instance in terms of grain (what exactly should be recorded? Each and every click inside a given computer software? Certainly not...)
Teamwork Challenges in Distributed Agile Software Development

In Distributed Agile Software Development (DASD), Agile software development principles are applied in a distributed setting. This creates an inherent tension, since DSD and ASD place conflicting requirements on how software development is organized. Where DSD builds on a plan-driven, systematic and structured approach, ASD by its nature is interactive, flexible, and focused on self-organizing teams. Based on an in-depth case study, we find that these inherent tensions lead to teamwork challenges within any of the eight teamwork dimensions (coordinating mechanisms and core components) of the Salas et al. (2005) model on which our study is founded. We also find that specific teamwork practices focused on shared understanding and practices, leveraging multiple communication channels, and stimulating mutual trust mitigate the extent to which these challenges emerge and affect collaboration in DASD teams. Our study contributes to the emerging literature on DASD, as well as the broader teamwork literature.
Two-component generalized bent-cable models

This paper presents an innovative Bayesian method for assessing the status and progression of HIV infection using biomarkers such as the CD4 count and viral load variables. A distribution of viral loads in subjects starting antiretroviral treatment and followed over time may show a mixture of two subgroups: one subgroup representing “non-progressor” subjects and another subgroup of “progressor” subjects. In modeling these groups, we use a mass point and a right-skewed continuous distribution in which trajectories of repeated observations of viral load exhibit multiphasic features along with a gradual transition period. The commonly used method for describing these phasic patterns is a bent-cable model with a quadratic function for modeling the gradual transition phase. A quadratic function may be too restrictive for adequately modeling the transition period. Thus, we we extend the bent-cable model within the context of a two-component Tobit growth model by relaxing the assumption of a quadratic function for a gradual transition period and accounting for measurement errors in CD4 count. The proposed methods are demonstrated using real data from an AIDS clinical study.
LibGuides: Remote Library Instruction Basics and Tools: Accessing the Library's Online Research Essentials

Information on the services available at LaGuardia's Library Media Resources Center. Includes iPad, laptop, and calculator loan programs.
The Effect of Combined Exercise Program on Health-related Physical Fitness, Irisin and Leptin in Middle-aged Women with Obesity Intellectual Disorders

This study was conducted to investigate the effects of the participation of middle-aged women with intellectual disabilities on health-related physical fitness, Irisin and Leptin in the complex exercise program and to present basic data for the health care of people with intellectual disabilities.,For this purpose, 40 middleaged women with obesity intellectual disability who have no special exercise experience as middle-aged women with intellectual disabilities over 30% of body fat rate were selected and the results were obtained by conducting physical activities for 60 minutes per day for 3 times a week and 12 weeks. First, there was a significant difference in the weight(p<.001) and body fat(p<.01) in the change of health-related physical fitness before and after the participation in the complex exercise program, and there was a significant difference in muscle strength, but there was no statistical difference, but there was a significant difference in muscle endurance, flexibility and cardiopulmonary endurance(p<.001). Second, there was a significant difference in the change of Irisin before and after participating in the complex exercise program(p<.001). Third, there was a significant difference in Leptin change before and after participating in the complex exercise program(p<.001). The participation of regular physical activities like this exercise program will help improve the quality of life of middle-aged women with intellectual disabilities. However, since the exercise program of this study was applied as a weight load support exercise to reduce the risk of injury rather than as a program preferred by middle-aged women, it is considered that more objective research is needed by observing physiological changes through sufficient time by selecting the exercise method that suits the characteristics of middle-aged women with intellectual disabilities.
Neuroimaging DICOM and NIfTI Data Curation Primer

This work was created as part of the “Specialized Data Curation” Workshop #3 held at Washington University in St. Louis, MO on November 5-6, 2019.
Determination of Potential Criminals in Text Analysis: Case of Study

Esta investigacion esta orientada a clasificar textos usando Redes Neuronales Artificiales (RNA) especificamente el Perceptron Multicapa (PMC) con Tecnicas basicas de palabras embebidas. La clasificacion consiste en determinar ya sea que el texto tenga un contexto criminal o no por medio de reconocimiento de patrones. El PMC fue entrenado bajo entrenamiento supervisado y en un rango corto de vocabulario y registros de entrenamiento, cada uno de los cuales tiene una longitud maxima de 300 palabras para hacer procesos de clasificacion. Analizar estos tipos de textos podria ayudar a las fuerzas de seguridad del gobierno, a los militares, etc. para facilmente detectar gente que podria danar a la poblacion y predecir posibles ataques y prevenirlos. El software desarrollado necesita mas tecnicas de palabras embebidas, un vocabulario mas grande y mas registros de entrenamiento para ser mas eficiente. El conjunto de datos consiste de dos clases principales que estan organizadas como textos de tipo criminal y regular.This research is oriented to classify text using Artificial Neural Networks (ANN) specifically Multilayer Perceptron (MLP) with basic word embedding techniques. The classification consists in determining whether the text has criminal background or not by pattern recognition. The MLP was trained under supervised training and so far with a short range of vocabulary and training records, which each one has a maximum length of 300 words to make the classification process. Analyzing these types of text could help security forces of government, military, etc. to easily detect people who could harm the population and predict possible attacks and prevent them. The developed software needs more word embedding techniques, a larger vocabulary and more training records to be more efficient. The dataset consist of two main classes that are organized as crime and regular type of text.
We Make Errors

This chapter describes the types of errors people make and provides guidelines for designing interactive systems that help users avoid errors and recover from those they make. It also provides examples of user-interface designs that follow those guidelines, and ones that don't.
The Alchemy of Public Key Cryptosystems

This chapter is concerned with what can be termed modern cryptography or asymmetric cryptography. In Chapter 3, we studied symmetric encryption and surmised that it has a significant scalability problem when the encryption key has to be distributed to a large number of recipients. For example, consider the scenario where an encryption key has to be distributed to thousands of recipients. Each transmission of the key to a recipient carries with it, a certain probability that the key will be intercepted by a malevolent actor. The aim of public key cryptosystems, inter alia, is to solve this scalability problem and also render moot the issue of the interception of the secret key by adversaries. The piece de resistance of the theory of public key cryptosystems are digital signature algorithms; these solve three problems simultaneously: (i) assuring the integrity of messages, (ii) assuring the authenticity of messages, and (iii) solving the scalability problem.
ANALYSIS ON CONSTRAINTS OF LOCAL AND NATIONAL LANGUAGE USING IN LATE ADOLESCENCE IN NORTH SUMATRA

Indonesia is famous for its rich and varied language culture which is influenced by the cultural backgrounds, ethnicities, and customs of each region. From 718 local languages in Indonesia, there are 5 of them in North Sumatra, namely: Batak, Nias, Minang, Java, and Malay language. Therefore, national language is needed to unite the various tribes, especially for late adolescence in their daily activities both those from city to village or from village to city. This difficulty was the basis of our research to analyze the constraints of using two languages (local and national) in late adolescence in North Sumatra, Indonesia. This research used qualitative research with interview and observation techniques for 5 late-adolescent samples consisting of 2 people from city to village; 3 people from the village to city conducted for 1 month from 10 November to 10 December 2019 by looking at their daily lives in adapting to an environment that is not their original place. As a result, researchers found the constraints in the use of local and national language in North Sumatra, such as basic sentence patterns, language intonation, dialect, cultural background, and habits. &nbsp
Experimental simplified rule of self tuning fuzzy logic-model reference adaptive speed controller for induction motor drive

&lt;span&gt;Fuzzy logic controller (FLC) has shown excellent performance in dealing with the non-linearity and complex dynamic model of the induction motor. However, a conventional constant parameter FLC (CPFL) will not be able to provide–good coverage performance for a wide speed range operation with a single tuning parameter. Therefore, this paper proposed a self tuning mechanism FLC approach by model reference adaptive controller (ST-MRAC) to continuously allow to adjust the parameters. Due to real time hardware application, the dominant rules selection method for simplified rules has been implemented as part of the reducing computational burden. Experiment results validate a good performance of the ST-MRAC compared to the CPFL for the speed performance in terms of the wide range of operations and disturbance showed remarkable performance.&lt;/span&gt;