Reviewerly/exHarmony huggingface dataset:
Rancang Bangun Aplikasi Penilaian Kinerja Karyawan Berbasis Website Menggunakan Metode 360 Derajat (Studi Kasus : PT Surya Segara Safety Marine)

Performance appraisal is one way to determine the quality of employee in the company. The performance appraisal process at PT Surya Segara Safety Marine often experiences several problems such as the submission of employee performance appraisal reports that are not on time because the calculation process from the human resources development staff has not used the system. In addition, there is no appropriate appraisal method to assess employees which causes appraisal to be a little difficult. The appraisal applied by the company only uses one side as an appraiser, namely the head of the department, which reduces employee motivation. This study aims to obtain an overview of the employee performance appraisal application through the 360 degree method in PT Surya Segara Safety, so that it can help companies to present performance appraisals for human resource development. The study used a qualitative approach through data collection techniques using observation and interviews. Application creation method with Waterfall System Development Life Cycle (SDLC). The results showed that the performance appraisal application through the 360 degree method can provide performance appraisal notifications as a reminder so that users immediately carry out the performance appraisal process. The performance appraisal application through the 360 degree method provides 4 answer options that make the assessment results more varied and include assessment indicators so that the assessment becomes objective because it takes opinions or feedback from three parties, namely head of division, co-workers, and theirself. It is hoped that this method can make the performance appraisal at PT Surya Segara Safety Marine more objective and can restore employee motivation compared to previous assessments.
Relation-Gated Domain Adaptation for Relation Extraction

Knowledge Graph Completion (KGC) has been proposed to improve Knowledge Graphs by filling in missing connections via link prediction or relation extraction. One of the main difficulties for KGC is a low resource problem. Previous approaches assume sufficient training triples to learn versatile vectors for entities and relations, or a satisfactory number of labeled sentences to train a competent relation extraction model. However, low resource relations are very common in KGs, and those newly added relations often do not have many known samples for training. In this work, we aim at predicting new facts under a challenging setting where only limited training instances are available. We propose a general framework called Weighted Relation Adversarial Network, which utilizes an adversarial procedure to help adapt knowledge/features learned from high resource relations to different but related low resource relations. Specifically, the framework takes advantage of a relation discriminator to distinguish between samples from different relations, and help learn relation-invariant features more transferable from source relations to target relations. Experimental results show that the proposed approach outperforms previous methods regarding low resource settings for both link prediction and relation extraction.
Further Investigation of Two-Way Classification for Activities of Daily Living

We consider Activities of Daily Living (ADL) as actions that are continuously monitored and cannot easily be separated in time. Both, the micro-Doppler signature and range-map are used to determine transitions from translation (walking) to in-place activities and vice versa, as well as to provide activity onset and offset times. The in-place action classes after and before walking are handled by forward and backward in time classifiers. The paper extends the recently published work on ADL based human states and transitioning activities, where time separable and inseparable activities were exploited. The previous work has shown that limiting the classes of activities, which are physically possible and associated with the current state, improves the classification rates compared to considering all possible ADL in the dataset at any given time. These approaches are suitable for switching classification methods to achieve superior classification results.
Learning Efficient Planning-based Rewards for Imitation Learning

Imitation learning from limited demonstrations is challenging. Most inverse reinforcement learning (IRL) methods are unable to perform as good as the demonstrator, especially in a high-dimensional environment, e.g, the Atari domain. To address this challenge, we propose a novel reward learning method, which streamlines a differential planning module with dynamics modeling. Our method learns useful planning computations with a meaningful reward function that focuses on the resulting region of an agent executing an action. Such a planning-based reward function leads to policies with better generalization ability. Empirical results with multiple network architectures and reward instances show that our method can outperform state-of-the-art IRL methods on multiple Atari games and continuous control tasks. Our method achieves performance that is averagely 1,139.1% of the demonstration.
Analisis Soal Ujian Saringan Masuk di Universitas X Dengan Pengunaan Metode Rumus Statistika

This journal is the result of a study entitled Analysis of Entrance Test Examination Questions at University X using statistical methods . This analysis is to determine the quality of the items to be analyzed, and namely the test of academic potential and biology questions by using the statistical formula of item analysis for the level of difficulty of the questions and the power of differentiation and the use of the spss 20 application for the validity of the questions and the reliability of the questions. The method of analyzing the items uses the existing research journals and books as a reference source in analyzing the items provided by University X
Research Guides: Introduction to Text Mining: RStudio Examples - Common Methods

An overview of text mining tools and techniques. This page includes various examples for performing crucial data mining tasks.
Secure and unifold mining model for pattern discovery from streaming data

The intimidating challenge is practice of data mining (DM) over the streams of data because of its continuous data streaming. On the data streams, the practices of mining should be performed on cluster of streamed records in specified interval of time. The representation of window is the buffered records set which might be dynamic or static in the size. When compared with other practices of mining, the 'frequent pattern mining' on the streams of data are crucial. This occurs because, for predicting the pattern frequency, many of the existing methods repeatedly scan entire buffered transactions. This denotes the intricacy of procedure and overhead of memory. This paper proposes novel DM algorithms in particular for identifying the frequent patterns from indefinite data streams which scans every window once, therefore windows buffered records is pruned that evades computational and memory overhead. 'Unifold mining model for pattern discovery from streaming data' is the contribution of this paper. The outperformance of UMM when compared with other contemporary models is represented by crucial assessment of algorithm and optimisation schemes.
PERANAN LAYANAN PERPUSTAKAAN TERHADAP PRESTASI MAHASISWA DI UNIVERSITAS MUHAMMADIYAH SURAKARTA

The Library of the Muhammadiyah University of Surakarta  (UMS) is a center for academic activities based on information technology and has been accredited “A”. The main product of the library is a service. Service is the spearhead of the library because it is directly related to users. This study aims to determine the role of (1) service; (2) infrastructure / facil- ities and  (3)  library collections /  information on student achievement index. The research method used is the quantity method using the product moment statistical test (Pearson correlation). The results showed that (1) UMS library service was good according to most respondents but there was no relationship between library services and student achievement index because t count  was less than  t table (0.250 t table (0.279).
Hardware-efficient error-correcting codes for large nuclear spins

Universal quantum computers require a large network of qubits robust against errors. Recent theoretical and experimental studies on donor nuclear spins in silicon, engineered on semiconductor platforms compatible with industrial fabrication, show their coherent behavior and potential for scalability. Here we present a hardware-efficient quantum protocol that corrects phase flips of a nuclear spin using explicit experimentally feasible operations. We introduce the MAUS encoding (Moment AngUlar System encoding) which uses the large Hilbert space provided by the nuclear spin of the donor to encode the information and employ the electron spin of the donor as an ancilla for error correction. Simulations using present-day experimental manipulation fidelities predict significant improvement in logical qubit fidelity over existing spin quantum-error-correction protocols. These results provides a realizable blueprint for a corrected spin-based qubit.
LibGuides: Open Access : Types of OA

The purpose of this guide to help students at Independent College Dublin understand what Open Access is, how it is changing the way we publish and consume knowledge, and where they might find Open Access resources related to their subject.
Design and Implementation of Environmental Engineering and Protection Information System Based on Custom Workflow

The natural building and assurance data framework is a perplexing framework, which coordinates multi-framework multi-procedure and manages bigger amounts of ecological information. In the paper, present the framework dependent on work process, the framework could bargain ecological data consequently by utilizing a great deal of innovations, for example, work process, web and multi-level engineering, and so on the framework could alter itself to the changing or transformation of natural cycle and association. The force capacity of information insights and investigations in this framework could assist the prevalent divisions with settling on great choice.
Subject Guides: Extended Reality Space: Extended Reality Space Policies & Procedures

Virtual Reality (VR), Augmented Reality (AR), & Mixed Reality (MR), when taken beyond the bounds is referred to as Extended Reality (XR). This Space is for Research, Development, and Experimentation.
Subject Guides: Extended Reality Space: Extended Reality Space Configurations

Virtual Reality (VR), Augmented Reality (AR), & Mixed Reality (MR), when taken beyond the bounds is referred to as Extended Reality (XR). This Space is for Research, Development, and Experimentation.
TCDL 2020 Program of Accepted Proposals

Program of accepted proposals for TCDL 2020. Texas Digital Library originally planned for an in-person event for our annual conference, the Texas Conference on Digital Libraries (TCDL). Due to public health concerns and the rapid spread of COVID-19, TDL made the difficult decision to cancel our in-person conference on Friday, March 13, 2020. Prior to cancellation, nearly 80 proposals were submitted, many of which were accepted. TDL rescheduled a number of events to an online format, and materials from those events make up the bulk of this collection.About TCDL 2020: Texas Digital Library originally planned for an in-person event for our annual conference, the Texas Conference on Digital Libraries (TCDL). Due to public health concerns and the rapid spread of COVID-19, TDL made the difficult decision to cancel our in-person conference on Friday, March 13, 2020. Prior to cancellation, nearly 80 proposals were submitted, many of which were accepted. TDL rescheduled a number of events to an online format, and materials from those events make up the bulk of this collection (see collection description or visit https://www.tdl.org/tdl-events/tcdl/2020-tcdl/ for more details).
3.5 aana land on sale at Gothatar, Pragati Tole, Kageshwori Manohara N

Land For sale In Gothatar, Ward No. 9, Kageshwori Manohara Municipality, Kathmandu, Bagmati Nepal
PolyOnto: Conceptual Modeling and Evaluation of Ontologies for Polymerization Reactions Based on XML to OWL Transfiguration

Ontology is a storehouse of structured knowledge that can be used for personalized learning. Ontology modeling is one of the most vital processes to represent and describe real-world domains. Chemical ontologies have been neglected in the recent past owing to the complexity of molecular structure as well as chemical reactions. The proposed work is based on the strategic modeling of chemical ontologies, focusing on polymerization reactions in organic chemistry. A conceptual approach to classify and model polymerization using XML has been proposed using the paradigms of ontology development 101. Furthermore, an XML to OWL transfiguration mechanism based on RDF restructuring has been depicted. The modeled ontologies are evaluated both qualitatively and quantitatively. An overall reusability ratio of 83.3% with a very low reference ratio of 2% has been obtained, which establishes the model as an ideal ontology for polymerization reactions.
Pengenalan aplikasi komputerisasi akuntansi untuk membantu Pembuatan Laporan Keuangan Usaha Kecil Cotton Supply

Business financial statements are important for small businesses as one of the assessments for capital in formal credit institutions, because bookkeeping serves as a reference in business growth and development. Cotton Supply is a small entrepreneur who focused on the sale of sweaters, clothes and pants, located in Cipondoh Indah, Tangerang Banten, in the routine activities carried out by this business in recording still using notes in the form of handwriting that has a high risk of data recording errors, so that the final report produced is not in accordance with the reality of the data in the store. This becomes the background so that this community service activity is carried out with the aim to help facilitate and overcome the problems faced by Cotton Supply. The creation of this Financial Statement by using the accounting application MYOB which has facilities in data deposition until the creation of integrated financial statements in a short time so that it can manage the transactions carried out can be seen quickly. The first stage of this activity is to install the application followed by training on the use of modules, data entry and reading of the required financial statements. The results of Community Service activities by using the application of information systems in cotton supply small business is very helpful in solving the problems faced so far in making financial statements because it can be seen the growth and development of businesses that have been run and developed.
APLIKASI PENDAFTARAN LANSIA DAN OLAH DATA KEGIATAN PANTI SOSIAL TRESNA WERDHA BUDI LUHUR JAMBI BERBASIS WEB

Panti Sosial Tresna Werdha Budi Luhur Jambi is a social institution that has the task of providing guidance and services for neglected elderly people so that they can live naturally in social life. So far, the management of the Panti Sosial Tresna Werdha Budi Luhur Jambi is still using the manual method, namely the bookkeeping system so that the difficulty of the employees in processing the orphanage data and the making of reports is a problem at the Panti Sosial Tresna Werdha Budi Luhur Jambi. The purpose of this study was to design a Management Information System at the Panti Sosial Tresna Werdha Budi Luhur Jambi. In making the Sales Management Information System, PHP and HTML are used. And using databases using MYSQL. With the existence of this Management Information System built, the performance of employees can be more effective and efficient in processing data on the elderly, activities, employees. By entering data that is in the form of elderly data, employee data, admin data, user data, and activity data so as to produce output in the form of reports of active elderly, inactive elderly reports, daily activity reports, periodic activity reports, and monthly activity reports. The existence of this Management Information System is expected to improve the performance of employees at the Panti Sosial Tresna Werdha Budi Luhur Jambi.
Library Guides: English Language and Literature Research Guide: Introduction

This guide provides resources and tutorials for students studying English Language and Literature.
MVCC Libraries: Find a Book on the Shelf: Welcome: Getting Started

Follow this guide step-by-step to locate a book on the shelf in the Utica Campus Library. Intro to how the library's books are organized.
End-To-End Phonetic Neural Network Approach for Speaker Verification

In this work, we have developed an end-to-end approach for text dependent speaker verification task. With this method, phonetic labels are fused with spectral features, and used to train a neural network for same/different speaker decision. The data used for tests is obtained from a real call center integrated voice response system. It consists of audio taken from calls made by people at different times in which they utter a specific, short sentence in Turkish. Contribution of in-domain data with target sentence and free format human-human call data for model training is investigated. For the inclusion of phonetic information in modelling three different methods are applied which are phoneme boundary, utterance boundary and phoneme boundary group. Test results show that, we attain an equal error rate of 10.7% for speaker verification on given dataset.
Enhancing the Usefulness of Blockchain Technology in Finance Sector

Blockchain technology has become widely popular with the appearance of cryptocurrencies that use the decentralized nature of blockchain in order to exchange funds between their users. In order to verify various needed details during an exchange, consensus mechanisms are used which solve simple but exhaustive calculations. Such operations fulfill their primary goal of verifying, but are a common target of public disapproval due to massive energy consumption and lack of usefulness. This work discusses different approaches and consensus mechanisms with a more useful secondary function, especially focusing on NP-complete problems as mediators in solving complex and resource-heavy problems. A new way of approaching these problems can benefit many areas, like science, healthcare, government and finance, optimizing the current infrastructure and business processes like markets, transactions, insurances, payments and supply chains, or creating more secure, reliable and efficient environment.
Android-Based Edu Game Media on Mathematical Communication Skill of Elementary School Students

The background of this research is the development of android-based edugame media for elementary school students. The purpose of this study was to determine the effect of android-based edugame media on mathematical communication of elementary school students. This research is a quasi-experimental st
Tethered drone for rescue boats

Human has a great interest in aerial devices from very ancient days. The journey was started by kites and is still going on with the invention of airplane, helicopter, rocket,and many more. Drone i ...
Students’ Attitudes Towards The Implementation of WhatsApp Messenger as Online Platform in Teaching Writing

This research was concerned with the students’ attitudes on the implementation of WhatsApp Messenger in teaching writing. The aim from the research are : (1) To analyze the activities are carried out in using WhatsApp messenger in the learning process at the Eighth Grade Students of SMP N 18 Surakarta in Academic Year 2019/2020, (2) To analyze the students' perceive the applications towards WhatsApp at the Eighth Grade Students of SMP N 18 Surakarta in Academic Year 2019/2020, (3) To analyze student's utilization in the use WhatsApp Messenger to teach writing the Eighth Grade Students of SMP N 18 Surakarta in Academic Year 2019/2020. In this research, the researcher used qualitative method. The source from this research are : the interview with the English teacher, the questionnaire that distribute to the research subject via google form, and document. . The result from the research were : The Activities Carried Out in Using WhatsApp Messenger was explaining the learning material and instruction by the teacher, the students used WhatsApp Messenger as communication and discussion tools, used WhatsApp Messenger to sent an assignment to the teacher. The result of students attitudes toward use WhatsApp Messenger were : students felt happy because they could finish their assignment without felt interrupted or copied by their friends, they enjoyed the learning process because could study anytime and anywhere. The students utilization in using WhatsApp Messenger were : They used WhatsApp Messenger as place to discussed with the teacher or their friends, WhatsApp Messenger as tools to discussed about writing learning material for two hours in a day, and WhatsApp Messenger as media to practice arrange a sentence in English.Keyword : WhatsApp Messenger, Teaching Writing, Students’ Attitudes, ICT
The role of aerocosmic research in metallogenic prediction (on the example of antimony-mercury ore formation deposits in Azerbaijan)

Mercury degassing is a global process. In geological development, it begins with the formation of deep fractures that can penetrate the great depths of the mantle. As the linearity lengthens, the temporal degassing and intensity of mercury weaken this connection with the depths of its individual parts and the Earth, or the period of strengthening of this connection will vary depending on the development of the characteristics observed. The concentration of mercury and antimony-mercury ores along the outer frame of circular and oval and other structures can most likely be explained by the Earth's total mercury degassing. In our opinion, the ideal situation is the junction of circular, oval, and other structures with linear nodes, where industrially important deposits of minerals can be formed. Key words: mercury, aerospace research, metallogenic prediction, minerals
The Forming Path of Immaterial Historical Data Under the Informatization

The paper is to clarify the different forms of historical materials under the Informatization, to clarify their advantages in contemporary history research, and to explore their forming path, as well as the revolutionary role of information technology in historical research paradigm and research concept. Especially, from the perspective of interdisciplinary research, the paper pays more attention to the changes in the storage form of historical materials caused by the development of communication media in the information age. Immaterial forms of historical materials are an important part of contemporary historical materials, which provides more abundant and diversified research objects and enables historical research to examine the progress of human society from a more comprehensive perspective. This kind of bottom-up research thinking of bifurcated history is able to collect macro and micro historical materials reflecting the contemporary historical process more extensively and comprehensively, which not only reflects the simple change of research route and information transmission sequence, but also represents the new historical research concept and attitude under the background of informatization.
LSC-CyFair Library Guides: Social Media Policies and Guidelines: Social Media Code of Conduct

This guide is meant to provide our Library users and online community members with a Code of Conduct for social media posts and interactions and to provide Library staff with the tools necessary to successfully manage the Library's social media accounts.