Reviewerly/exHarmony huggingface dataset:
TINGKAT KEPUASAN SISWA TATA BUSANA PADA PENYEDIAAN FASILITAS BELAJAR BUSANA BUTIK SEKOLAH MENENGAH KEJURUAN

The purpose of this study was to describe the student’s satisfaction toward learning facilities in classrooms, libraries, and laboratories aspects. This research includes quantitative descriptive research. The data collection methods used questionnaire and documentation. The data analysis technique used descriptive analysis through calculation of Mean, Median, Mode and Standard Deviation. This study showed that student’s satisfaction toward learning facilities in quite a category with relative.14%. Student satisfaction in providing boutique fashion learning facilities consists of suitability of expectations, interest in revisiting, and willingness to recommend. Based on data analysis, the suitability of expectations in the category is quite with a relative frequency of 64.29%, interest in returning to the category is sufficient with a relative frequency of 71.43%, and willingness to recommend in sufficient categories with a relative frequency of 60%. Thus, interest in returning to visit is quite dominant in determining student satisfaction in using practical facilities
Query-Focused Scenario Construction

The news coverage of events often contains not one but multiple incompatible accounts of what happened. We develop a query-based system that extracts compatible sets of events (scenarios) from such data, formulated as one-class clustering. Our system incrementally evaluates each event's compatibility with already selected events, taking order into account. We use synthetic data consisting of article mixtures for scalable training and evaluate our model on a new human-curated dataset of scenarios about real-world news topics. Stronger neural network models and harder synthetic training settings are both important to achieve high performance, and our final scenario construction system substantially outperforms baselines based on prior work.
Perancangan Aplikasi Ensiklopedia Ilmuwan Islam Berbasis Android dengan Metode Crochemore Perrin

Encyclopedia in the form of a number of writings that contain explanations that store information comprehensively and quickly understood and understood. Scientists generally mean intelligence and knowledge in a field arranged systematically according to the rules and methods that can be used to explain and explain and understand things related to the field of scientists. One solution to solve the problem of searching for Android-based Islamic scientists with the Crochemore Perrin method. To simplify the process of searching strings on Android-based Islamic scientist encyclopedias. By applying the Perrin Crochemore algorithm to the Android-based Islamic scientist search system, the process of searching for Islamic scientists is easier and faster. The system is designed very practical because it uses an Android application. So it can be accessed anywhere.
A Review on Image Contrast Enhancement in Colored images

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Anomaly Detection with Inexact Labels

We propose a supervised anomaly detection method for data with inexact anomaly labels, where each label, which is assigned to a set of instances, indicates that at least one instance in the set is anomalous. Although many anomaly detection methods have been proposed, they cannot handle inexact anomaly labels. To measure the performance with inexact anomaly labels, we define the inexact AUC, which is our extension of the area under the ROC curve (AUC) for inexact labels. The proposed method trains an anomaly score function so that the smooth approximation of the inexact AUC increases while anomaly scores for non-anomalous instances become low. We model the anomaly score function by a neural network-based unsupervised anomaly detection method, e.g., autoencoders. The proposed method performs well even when only a small number of inexact labels are available by incorporating an unsupervised anomaly detection mechanism with inexact AUC maximization. Using various datasets, we experimentally demonstrate that our proposed method improves the anomaly detection performance with inexact anomaly labels, and outperforms existing unsupervised and supervised anomaly detection and multiple instance learning methods.
Comprehensive Overview On Web Usage Mining Its Task and Techniques

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
E-Learning Empowering through efficient system of Cloud Computing

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
The Influence the Adversity Quotient of Pre-Business Leaders Puts in the Entrepreneurial Orientation, Learning Orientation, and the Entrepreneurship Intention

본 연구는 예비창업자의 창업 의사결정을 지원하고 창업동기를 부여할 심리적 요인들을 탐색하기 위해 역경지수가 창업지향 성, 학습지향성, 창업의도에 미치는 영향을 분석하였다. 이를 위해 이론적 배경에 기반 하여 연구모형과 가설을 도출하고, 예비창 업자인 직장인을 대상으로 설문조사에 의한 실증분석을 하였다. 실증분석 결과는 다음과 같이 요약된다. 첫째, 예비창업자의 역경 지수는 통제력, 주인의식, 도달범위, 지속성으로 구성되는 다차원 특성을 보였다. 둘째, 예비창업자의 역경지수 중 주인의식, 도달 범위, 지속성은 창업지향성과 학습지향성에 각각 정(+)의 영향을 주었다. 셋째, 예비창업자의 창업지향성은 창업의도에 정(+)의 영향을 주었다. 넷째, 예비창업자의 학습지향성은 창업의도에 정(+)의 영향을 주었다. 이와 같은 결과는 예비창업자의 창업지향성과 학습지향성은 창업의도를 촉진하는 중요한 역할을 하며, 창업지향성과 학습지향성을 높이기 위해서는 주인의식, 도달범위, 지속성의 역량이 요구된다는 것을 시사한다.This study analyzed the effect of the hardship index on entrepreneurial orientation, learning orientation and entrepreneurship intention to explore the psychological elements to support and motivate prospective start-ups’ decision to start the enterprise. In order to achieve the goal of the research, we derived the research model and hypotheses based on the theoretical background; then we executed empirical research by conducting survey on the employees interested in the start-up. The summary of the empirical research is summarized as below. First, prospective start-ups’ hardship index displayed multi-dimensional characteristic that consists controllability, ownership, reach, and endurance. Second, ownership, reach, endurance among the component of the prospective start-ups’ hardship index had a positive effect on entrepreneurial orientation and learning orientation, respectively. Third, the entrepreneurial orientation of the prospective start-ups had a positive effect on entrepreneurship intention. Fourth, the learning orientation of the prospective start-ups had a positive effect on entrepreneurship intention. Such outcome suggests entrepreneurial orientation and learning orientation of prospective start-ups play crucial role in promoting entrepreneurship intention, and implies that to elevate entrepreneurial orientation and learning orientation, ownership, reach, and endurance are required.
A Framework for Predicting Personalized Product Packages

A package is to sell more than one product together to consumers in a single order and price, which is offered to customers for various purposes, like discount offer, to increase sales of new and old products.Most often, it is very hard for customers discovering their need among billion of products by browsing a lot of menus.Since, consumers always do not have enough time to add items to the basket and that is why, they expect to buy with a single click.It has been found that the current package building technologies are not enough to fulfill e-commerce marketers' demand because these are not able to hold customers tightly in the every step of purchase life cycle.Meanwhile, shopping merchants invest more than billion dollars to make right tools to sell packages by encouraging customers.On the other hand, in the existing bundle methods where users are forced to buy extra products, though which are not their exact needs.So, this is very high time offering the personalized packages.Still, there many aspects such as price, brand, size and etc. can be considered for making real time and dynamic package based on individual user's preferences.In this paper, we propose a package building design framework based on the interest of the each consumer.The initial packages are made by incorporating the clickstream, purchase history, products rating and etc. as well as the contextual data (such as time, place and etc.) can be used to predict and recommend a more relevant number of packages.Later on, the early package has been changed by the final order during the different stages of purchase life cycle since in different steps customer mind may change.Our motivation to alleviate the obligatory buying the unnecessary products with a package as well as user friendly packages are offered to customers, which also help them to save browsing time to add products to the online shopping cart.
How Do I Use Profiles?

This chapter is about the two kinds of profiles you will encounter: user profile and equipment profile. In both cases, a “profile” is a collection of information. “user” Profiles describe the user, his or her location, and a few other preferences. “Equipment” profiles describe the many devices and preferences for the use of equipment, software, and other things that SGP needs to manage a session. These profiles eliminate retyping this information before each session. One night, you may be at your home observatory, using narrowband. Your “home” user profile and “narrowband-OBS” equipment profile know to use that location and equipment, and tell the sequencer. That weekend you take that same computer and your portable imaging rig to the desert and your favorite dark-sky campsite. You have different equipment, location, and priorities. So, you change to your “desert” user profile and “DSLR-G11-Televue” equipment profile faster than Superman can find a phone booth.
Unsupervised Induction of Ukrainian Morphological Paradigms for the New Lexicon: Extending Coverage for Named Entities and Neologisms using Inflection Tables and Unannotated Corpora

The paper presents an unsupervised method for quickly extending a Ukrainian lexicon by generating paradigms and morphological feature structures for new proper names and neologisms, which are not covered by existing static morphological resources.This approach addresses a practical problem of modelling paradigms for entities created by the dynamic processes in the lexicon: this problem is especially serious for highly-inflected languages in domains with specialised or quickly changing lexicon.The method uses an unannotated Ukrainian corpus and a small fixed set of inflection tables, which can be found in traditional grammar textbooks.The advantage of the proposed approach is that updating the morphological lexicon does not require training or linguistic annotation, allowing fast knowledge-light extension of an existing static lexicon to improve morphological coverage on a specific corpus.The method is implemented in an open-source package on a GitHub repository.It can be applied to other low-resourced inflectional languages which have internet corpora and linguistic descriptions of their inflection system, following the example of inflection tables for Ukrainian.Evaluation results show consistent improvements in coverage for Ukrainian corpora of different corpus types.
LibGuides: ORCID ID's and your Online Researcher Identity: Getting Started

ORCID (Open Researcher and Contributor ID) provides a persistent digital identifier that distinguishes you from every other researcher and, through integration in key research workflows such as manuscript and grant submission, supports automated linkages
EFEKTIFITAS MODEL THINK TALK WRITE DALAM PEMBELAJARAN MENULIS TEKS RESENSI

This research is motivated by the difficulty of students in producing a review text that has not reached the assessment criteria. This research problem is whether the Think Talk Write learning model is effectively used in learning to write text? So this study aims to determine the effectiveness of the Think Talk Write learning model in learning to write text. The subjects used as the research sample were class X students. The research method used was pre-experimental in the form of one group pretest-posttest. The instruments used included RPP and test sheets. The results of the study show that student learning outcomes have a significant increase. This is evidenced by the average pretest value of 60 increasing at the posttest average value to 80. The application of this learning model gets a good response from students, can train critical thinking skills, and improve students' writing skills. So, based on the results of these studies it can be concluded that the Tnink Talk Write learning model is effectively used in learning to write texts.
Understanding user search processes across varying cognitive levels

Web is often used for finding information and with a learning intention. In this thesis, we propose a study to investigate the process of learning online across varying cognitive learning levels using crowd-sourced participants. Our aim was to study the impact of cognitive learning levels on search as well as increase in knowledge. We present 150 participants with 6 search tasks for varying cognitive levels and collect user interactions and submitted answers as user data. We present quantitative analysis of user data which shows that the outcome for all cognitive levels is learning by quantifying it as calculated knowledge gain. Further, we also investigate the impact of cognitive learning level on user interaction and knowledge gain with the help of user data. We demonstrate that the cognitive learning level of search session has a significant impact on user's search behavior as well as on knowledge that is gained. Further, we establish a pattern in which the search behavior changes across cognitive learning levels where the least complex search task has minimum number of user interactions and most complex search task has maximum user interactions. With this observation, we were able to demonstrate a relation between a learner's search behavior and Krathwohl's revised Bloom's taxonomic structure of cognitive processes. The findings of this thesis intend to provide a significant work to bridge the relation between search, learning, and user.
Formation of pedagogical empathia of students as a psychological and pedagogical problem

The purpose of the study is to analyze the main core psychological mechanisms for the formation of the pedagogical empathy of students. Methodology. The application of the method of analyzing the theoretical foundations and practical searches of modern artistic pedagogy allowed for conducting a scientifically objective study. Scientific novelty. The implementation of the presented psychological mechanisms will allow students to significantly increase the level of development of pedagogical abilities and personal qualities, because the whole pedagogical system is permeated with humanism, love and respect, which contributes to the successful implementation of the pedagogical process of creative activity. Findings. The presented psychological signs of personal prerequisites for the formation of the pedagogical empathy of students contribute to the development of a positive personal position in the field of artistic pedagogical culture; formation of professional competence, focus and flexibility of mastering a set of systematized psychological and pedagogical knowledge and skills; the active development of artistic and imaginative thinking; craving for personal and artistic-pedagogical self-realization; ability to empathy.
The Modified Think-Pair-Share (MTPS) Strategy to Improve EFL Learners’ Motivation and Speaking Achievement

Penelitian ini menguji i) peningkatan motivasi pelajar EFL sebelum dan sesudah penerapan MTPS, ii) peningkatan motivasi pelajar EFL sebelum dan sesudah penerapan TPS, iii) hubungan antara motivasi peserta didik EFL dan prestasi berbicara setelah menerapkan MTPS, iv) korelasi antara motivasi peserta didik EFL dan prestasi berbicara setelah menerapkan TPS, dan v) aspek berbicara yang paling meningkat di MTPS dibandingkan dengan yang ada di TPS. Desain pretest-posttest group kontrol diimplementasikan dalam penelitian ini. Subjek penelitian adalah mahasiswa semester dua Jurusan Bahasa Inggris Universitas Metro Muhammadiyah. Kuisioner motivasi dan tes berbicara digunakan untuk mengumpulkan data. Hasil penelitian menunjukkan bahwa i) motivasi peserta didik meningkat secara signifikan di MTPS, ii) motivasi peserta didik tidak meningkat secara signifikan di TPS, iii) Motivasi tidak berkorelasi erat dengan prestasi berbicara setelah menerapkan MTPS, iv) Ada korelasi positif antara motivasi dan prestasi berbicara peserta didik setelah menerapkan TPS, dan v) aspek berbicara yang paling meningkat adalah komprehensibilitas. Ini menunjukkan bahwa MTPS memfasilitasi peserta didik untuk termotivasi untuk belajar dan berbicara untuk tingkat apa pun tetapi dengan menyesuaikan konten video, dan TPS memfasilitasi peserta didik untuk berbicara dalam tingkat pemahaman yang lebih tinggi. This study examined i) the improvement of EFL learner’s motivation before and after implementing MTPS, ii) the improvement of EFL learner’s motivation before and after implementing TPS, iii) the correlation between EFL learners’ motivation and speaking achievement after applying MTPS, iv) the correlation between EFL learners’ motivation and speaking achievement after applying TPS, and v) the most improved speaking aspect in MTPS compared to that in TPS. A true experiment control group pretest-posttest design was implemented in this study. The subject was second-semester university students of English Department of Muhammadiyah University of Metro. Motivation questionnaire and the speaking test were used to collect the data. The results showed that i) the learners’ motivation significantly improved in MTPS, ii) the learners’ motivation not significantly improved in TPS, iii) Motivation did not closely correlate with speaking achievement after implementing MTPS, iv) There was a positive correlation between learners’ motivation and their speaking achievement after applying TPS, and v) the most improved speaking aspect was comprehensibility. This suggests that MTPS facilitated the learners to be motivated to learn and to speak for any level but by adjusting the content of the video, and TPS facilitated the learners to speak in the higher level of comprehension. Keywords : Motivation , MTPS, Speaking Achievement , TPS.
Web Crawlers for Web Content Extraction

International Journal of Computer Sciences and Engineering (A UGC Approved and indexed with DOI, ICI and Approved, DPI Digital Library) is one of the leading and growing open access, peer-reviewed, monthly, and scientific research journal for scientists, engineers, research scholars, and academicians, which gains a foothold in Asia and opens to the world, aims to publish original, theoretical and practical advances in Computer Science,Information Technology, Engineering (Software, Mechanical, Civil, Electronics & Electrical), and all interdisciplinary streams of Computing Sciences. It intends to disseminate original, scientific, theoretical or applied research in the field of Computer Sciences and allied fields. It provides a platform for publishing results and research with a strong empirical component. It aims to bridge the significant gap between research and practice by promoting the publication of original, novel, industry-relevant research.
Non-Gaussian Estimation of a Potential Flow by an Actuated Lagrangian Sensor Steered to Separating Boundaries by Augmented Observability

This article presents an architecture for estimation of a flow field using a hypothetical oceanographic vehicle that is guided along paths of high flow-field observability, a concept quantifying the informativeness of a path. Sampling trajectories that pass close to saddle points along separating boundaries of invariant sets provide high observability of flow-field parameters. The estimation and control framework consists of a model predictive controller that utilizes a measure known as the empirical augmented unobservability index to select from candidate trajectories generated by steering the vehicle to separating boundaries of invariant sets. Empirical augmented observability extends empirical observability to account for prior uncertainty when performing path planning based on observability. While following a selected trajectory, the vehicle takes measurements of its position (e.g., GPS measurements) and accounts for its own actuation to produce Lagrangian measurements. The vehicle assimilates this Lagrangian data in a Gaussian mixture Kalman filter, which is a nonlinear/non-Gaussian filter, to recursively improve its map of the flow field. Using the posterior uncertainty of the map, the vehicle plans new candidate routes and continues to sample adaptively. The performance of this estimation architecture is demonstrated for a simplified dynamic model of a pair of ocean eddies.
Observation of flux qubit states with the help of a superconducting differential double contour interferometer

The critical current of a new structure, the superconducting differential double contour interferometer (DDCI), investigated recently, depends on the parity of the sum of quantum numbers of the two superconducting loops connected in two points by two Josephson junctions. The theory confirms that the DDCI structure can be used for the ideal readout of quantum states of the flux qubit. Large jumps in the critical current and voltage enables to observe continuously the change in time the state of the flux qubit. Such observations can have fundamental importance for the investigation of macroscopic quantum systems with strongly discrete spectrum such as the flux qubit. The DDCI structure can also be used for precise measurement of a very weak magnetic field.