Reviewerly/exHarmony huggingface dataset:
Peningkatan Kemampuan Kosakata Bahasa Inggris Melalui Metode Bercerita Denan Peta Pikiran

Improving English Vocabulary Skills Through Storytelling Method With Mind Maps. The action research was conducted at SDN Tugu IX Cimanggis Depok, Thesis, Jakarta, PPS UNJ, 2011. The purpose of this study was to find out: how the learning process is to improve students' English vocabulary skills through the storytelling method with mind maps. This research was conducted at SDN Tugu IX Cimanggis Depok with research subjects as many as 38 second grade students. This research uses action research according to Kemmis and Mc Taggart. The results of the study show that through storytelling activities with mind maps in learning English can improve English vocabulary skills of second grade elementary school students.
Driving two-photon interference via classical control in quantum networks

We introduce a mean to tailor two-photon interference in a network, comprised of multiple time bins, via classical coherence control. Our approach relies on analyzing distinct features of time-bin local and network-wide global two-photon interferences.
The Relationship Between Employee Engagement and Transformational and Transactional Leadership Styles:Evidence from Jordan; Greater Amman Municipality

Employee Engagement has been at the forefront of focus for human resources researchers and scientists,who believe that Employee Engagement can be a key driver of business success. The purpose of this analysis is to identifythe association between Employee Engagement and Transformational and Transactional Leadership Styles. Data were collected and analyzed from a survey of 273 full-time employees who workin the Greater Amman Municipality at Jordan. The data was analyzed with different statistical tools (Mean, Correlation and Z-values) using SPSS. The findings exposed a significant positive association between bothTransformational and Transactional Leadership Stylesand Employee Engagement. It also found that Transformational Leadership is a better indicator of Employee Engagement when compared with Transactional Leadership
Research on the Construction of Sci-tech Periodicals in Military Academies Based on Spearman Correlation Analysis of Academic Evaluation Index

Journals of military academies are an important part of sci-tech periodicals. They are academic and theoretical journals sponsored by military academies and mainly reflect the achievements of teaching and scientific research in military academies. They are also important places for academic exchanges within and outside the army. Six kinds of sci-tech periodicals were selected from military academies. According to the data of Chinese S&T Journal Citation Reports (Core Edition) from 2014 to 2018, the total citation frequency, fund-aided papers ratios, other citation rate and impact factors of these periodicals were classified and analyzed by Spearman correlation. This shows that the overall influence of sci-tech periodicals in military academies still needs to be further improved, and fund-aided papers ratio plays a positive role in impact factor. The journal editorial department should pay special attention to improving the fund-aided papers ratios, and pay attention to excavating excellent manuscripts.
Algorithm of Genome Sequence Compression Based on Entropy Coding

Entropy coding based on Context modeling has widely used in data compression, such as JPEG2000, MPEG4, H.264, genome sequence compression and so on. After decades of development, entropy coding based on Context modeling has made great progress. On one hand, it is a series of problems have not achieved breakthrough and solution, such as the adaptive modeling method, optimization of context weighting and "model cost". In order to deal with this problem, the algorithm could be improved the compression performance. On the other hand, with the application of the second generation genome technology, the big data of DNA have increased exponentially and the higher storage for the data is needed. The simulation shows that it is a good method to deal with the problem that than original DNA compression algorithms of the DNA sequences, so it can make entropy coding efficient higher.
Sistem Informasi Beban Kerja dan Laporan Kinerja Dosen Berbasis Web

Workload (LW) and Performance Report (LPR) is an illustration of the measurement of the Tri Dharma Lecturer in each semester. The filling of LW-LPR at Manado State University until the beginning of the even semester of the 2019-2020 school year still uses desktop-based applications that have not been integrated, so the assessment procedures cannot be carried out effectively and efficiently. This study aims to develop a web-based BKD-LKD filling and inspection application that can facilitate the input of workload and lecturer performance reports. The development of this system uses a research method namely the Prototype model which consists of the stages of listening to customers, building/repairing prototypes, testing customers. Testing this system uses the blackbox testing method.
Digital transformation strategies of uae enterprises: A dynamic capabilities perspective

The UAE vision 2021 gives strong thrust towards digital initiatives, such as e-governance in the government sector, digital currency and block chain etc. In this respect, the UAE companies are much more well placed than their global peers in Digital Transformation even before the covid-19 pandemic spread. The IMD World ranking 2019 placed the UAE first in the region and 12th Globally in Digital Competitiveness. The study throws light on the organization wide strategies undertaken by the UAE based pre digital enterprises in their process of digital transformation. It explores organizational practices that shape a successful digital transformation strategy and a number of factors that can hinder the execution of their transformation from the perspective of front-line and middle-level executives. The findings provide enterprises a framework to assess their current processes and strategies against the key building blocks of successful digital transformation in their endeavour to achieve a dynamic fit with the environment. This paper fulfills an identified need to develop a process model encompassing the pertinent variables of DT strategies of the UAE enterprises.
IT Model and Design for Village Government in compliance with the Smart Village Concept Case Study: Pekon Wonodadi)

Pekon Wonodadi, Gadingrejo district, Pringsewu regency, Lampung is one of the best villages in Pringsewu Regency, Lampung Province. Apart from having good economic potential, this village has also run the village administration well. This condition is sufficient provision to transform Pekon Wonodadi into a smart village so that village services and functions can be even better. There are three elements that make up a smart village, namely government, society and the environment. All three elements must be accommodated by the smart village because they are an integral part of mutual influence. Conceptually, smart village is the management of resources by government agencies by utilizing technology in a sustainable manner. Based on the models and concepts described, this study aims to build a smart village implementation technology model that focuses on two elements of smart village, namely government and society by taking case studies in Pekon Wonodadi, Gadingrejo district, Pringsewu regency, Lampung Province. The results of this study can be used as a basis for consideration or reference in policy making by stakeholders concerned to develop Pekon Wonodadi.Keyword: Smart Village, Pekon Wonodadi, IT design and concept.
Pipeline Architecture of Forward and Inverse Photo Core Transform for JPEG XR Image Compression

JPEG XR is the new standard of the JPEG community, and it carries the features of its earlier standards, namely the JPEG Baseline and the JPEG 2000. JPEG Baseline and JPEG 2000 have been the most widely used image compression standards owing to their less complexity and lossless compression, respectively. The new JPEG XR is designed to have a better compression level than the JPEG Baseline and reduced computational complexities compared to the JPEG 2000. In this paper, we propose a fully pipelined design architecture of the forward and the inverse photo core transforms used in JPEG XR for image compression. The proposed architecture uses a multiplier-less design, using only add and shift operations for reduced hardware complexity.
Competitive and Universal Learning

Author(s): Hao, Yi | Advisor(s): Orlitsky, Alon | Abstract: Modern data science calls for statistical inference algorithms that are both data-efficient and computation-efficient. We design and analyze methods that 1) outperform existing algorithms in the high-dimensional setting; 2) are as simple as possible but efficiently computable. One line of our work aims to bridge different fields and offer unified solutions to multiple questions. Consider the following canonical statistical inference tasks: distribution estimation, functional estimation, and property testing, sharing the model that provides sample access to an unknown discrete distribution. In a recent paper in NeurIPS '19, we showed that a single, simple, and unified estimator – profile maximum likelihood (PML), and its near-linear time computable variant are sample-optimal for estimating multiple distribution attributes. The result covers 1) any appropriately Lipschitz and additively separable functionals; 2) sorted distribution; 3) R #x27;enyi entropy; 4) $\ell_2$ distance to the uniform distribution, yielding an optimal tester for distributions' closeness. This work makes PML the first unified sample- and time-optimal method for the learning tasks mentioned above. A single algorithm with such broad applicability is \emph{universal}. Another line of our work focuses on instance-optimal learning that designs algorithms with near-optimal guarantees for every possible data input. A flagship problem is distribution estimation over discrete or continuous domains, where ordering and geometry play an essential role. Going beyond worst-case guarantees, researchers designed algorithms that compete with a genie estimator that knows the actual distribution but is reasonably restricted. To obtain state-of-the-art algorithms for both tasks, we leveraged the simple but nontrivial idea of ``data binning''. For discrete settings, we group symbols that appear the same number of times. And for continuous settings, we partition the real domain and separate symbols according to pre-designed local quantiles. The respective algorithms run in near-linear-time, achieve the best-known estimation guarantees regarding the genie estimators, and appear in ICML'19 and NeurIPS '20. A genie-like algorithm adaptive to almost every data sample is \emph{competitive}.We present a comprehensive understanding of universal and competitive algorithms for multiple fundamental learning problems. Our ideas and techniques may shed light on key challenges in modern data science and numerous applications beyond the scope of this dissertation.
Lab Series: KKN Digital di Masa Pandemi

UNM implemented KKN in the condition of the COVID-19 pandemic by bringing up several new types of KKN, one of which is kkn work. UNM also provides recommendations for programs that can be implemented during the pandemic called PITUE where one of them is a digital village/campus. KKN digital Lab Series is presented as one of the PITUE programs, with 28 programs so that students can do community service and teaching creatively without having to violate health protocols. Lab Series is conducted virtually live using Zoom and YouTube live by presenting speakers from various universities in Indonesia as well as from practitioners, activists, volunteers, and others who are open for free to be followed by all circles. Kkn Digital like this can be an excellent alternative to KKN in the pandemic, because in addition to being able to provide experience and teaching for students and the general public in need. Because it is digital, the material can also reach more people and can continue to be watched and shared on YouTube, can even be used as a learning medium. After KKN has been completed, Lab Series continues with 2 new programs, namely Campus Playlist and 3rd Floor Learning.
Security notions for stateful signature schemes

In some digital signature schemes, the signer needs to maintain a dynamic state while signing messages. These are called stateful signature schemes. Although stateful signature schemes are commonly used as cryptographic primitives, they do not fit the standard definition of a signature scheme in cryptography. In this work, formal and general definitions for stateful signature schemes are given. In the definitions of security notions, various scenarios are considered where the adversaries have different levels of control over the signing oracle in terms of messages and states. After that, generic constructions of stateful signature schemes with different security levels are provided. In addition, some black-box constructions of stateful signature schemes that can be instantiated by primitives under any assumptions are given. Note that the constructions in this work are proven to be secure in standard models.
Virtual Classrooms and Real Harms: Remote Learning at U.S. Universities

Universities have been forced to rely on remote educational technology to facilitate the rapid shift to online learning. In doing so, they acquire new risks of security vulnerabilities and privacy violations. To help universities navigate this landscape, we develop a model that describes the actors, incentives, and risks, informed by surveying 49 educators and 14 administrators at U.S. universities. Next, we develop a methodology for administrators to assess security and privacy risks of these products. We then conduct a privacy and security analysis of 23 popular platforms using a combination of sociological analyses of privacy policies and 129 state laws, alongside a technical assessment of platform software. Based on our findings, we develop recommendations for universities to mitigate the risks to their stakeholders.
An Unsupervised Learning-Based Approach for Symbol-Level-Precoding

This paper proposes an unsupervised learning-based precoding framework that trains deep neural networks (DNNs) with no target labels by unfolding an interior point method (IPM) proximal `log' barrier function. The proximal `log' barrier function is derived from the strict power minimization formulation subject to signal-to-interference-plus-noise ratio (SINR) constraint. The proposed scheme exploits the known interference via symbol-level precoding (SLP) to minimize the transmit power and is named strict Symbol-Level-Precoding deep network (SLP-SDNet). The results show that SLP-SDNet outperforms the conventional block-level-precoding (Conventional BLP) scheme while achieving near-optimal performance faster than the SLP optimization-based approach
Information visualisation in the Philosophical Transactions

This chapter considers the nature and function of information visualisation in one of the earliest scientific journals, the Philosophical Transactions of the Royal Society of London, for the period 1665‒1886. It begins by giving an overview of the basic characteristics of the Philosophical Transactions corpus and how visualisations occur therein. Next, it identifies and analyses three distinct types of information visualisations: the diagram, the map and the graph. On this basis, it argues that information visualisations in the early centuries of the Philosophical Transactions function not to provide the reader with information of a distinct kind, but to optimise user (reader) performance.
SECURITY PORTRAYAL AND EVALUATION IN INFORMATION DISTRIBUTING

The growing ability to track and acquire huge amounts of records with the use of current hardware technology now has lead to an activity in the improvement of facts mining algorithms which keep consumer privacy. A recently proposed method addresses the difficulty of privateness upkeep by means of perturbing the records and reconstructing distributions at an aggregate stage in order to perform the mining. Perturbing data is capable to preserve privacy whilst gaining access to the information implicit in the authentic attributes, distribution reconstruction process naturally leads to some loss of information which is appropriate in many practical situations. To manage these concerns, numerous Privacy-Preserving Data Publishing (PPDP) methods have been proposed in literature but they, lack a proper security portrayal and estimation. It initially presents a novel multi-variable privacy, portrayal and evaluation model. In light of this model, by investigating the earlier and back adversarial belief about quality estimations of individuals. The analysis will break down the affectability of any identifier in security portrayal. At that point, the privacy should not be estimated depending on one measurement. It may lead to security misinterpretation .By the utilization of two different measurements for analysis of protection spillage, distribution spillage, and entropy spillage. Utilizing these measurements, the foremost notable PPDP systems are, for example, k-anonymity, l-diversity, and t-closeness. In view of the structure and the proposed measurements, the discovery of all the current PPDP plans has constraints in security portrayal. The proposed security portrayal and estimation structure adds to better understanding and assessment of those procedures. Thus, it provides an establishment to plan and investigation of PPDP plans.
Comparison of weather forecast webs of selected National Meteorological Services

Weather forecast is one of the key pieces of information used by state crisis management. The weather forecast is processed and published by the National Meteorological Service. The published weather forecast is the output of the information system of the workplace of the National Meteorological Service. The quality and usability of the weather forecast is determined by number of factors. Between key factors are the information content of the forecast and the ease of working with the information system. The departments of the National Meteorological Service publish the weather forecast on their website. There are number of methods to evaluate the quality of a website. The websites of the National Meteorological Service of the Czech Republic, Hungary, Poland, and Portugal are assessed and compared in article. The evaluation was performed by heuristic analysis using indicators of expertness, usableness, arrangementness and search. The conclusion of the article is a comparison of evaluations and evaluations of the positives and negatives and specificities of weather forecasts presented by the evaluated sites.
The Impact of Online Work on the Operating Costs of Petroleum Development Oman (PDO)

Purpose: The objectives of the study were to evaluate how PDO is adapting to the online work approach, to analyze and identify the operating costs of the company that got affected by switching to an online work approach, to evaluate the impacts of the online work approach on operating costs and to evaluate the effects of online work on financial performance and changes in operating costs.Design/methodology/approach: The population of the study was the employees of PDO – the managers and the employees of the accounting and finance department especially those who were involved with the financial issues and were responsible for the company’s cost and revenue calculations. The study included 54 samples from the population.  The survey was conducted through a questionnaire using a Google Form and the samples were selected on a random sampling technique. Interview was also conducted. The data collected were analyzed using different data processing methods of data analysis.Findings: The study revealed that PDO successfully adapted to the transition from traditional working to online working and the technology played a key role in doing so. Employees felt benefitted from online working as they were able to manage work-life balance. It was also observed that working online with efficiency reduced the operating costs and increased productivity. It was confirmed the claim that the work-from-home online working benefitted the company significantly in reducing the operating costs.Research limitations/implications: It was suggested that the employees should be well equipped with modern technological equipment and advanced applications to support the online working conditions. The option should be given to employees to work from home should be made as a part of the work routine work even after the pandemic to maintain the work-life balance.Social Implications : The study suggested that the management including the project owners and managers must focus and work more on developing a work style that suits the requirements of different work teams in online working.Originality / Value: This is the first time a study of this kind was carried out to find out the impacts of pandemic on the operating costs and the financial performance of a company. This is a maiden attempt.
IMPLEMENTATION OF NEAR FIELD COMMUNICATION TECHNOLOGY IN LIBRARY MANAGEMENT SYSTEM.

Library management needs a lot of manual work and the manual work is nothing but making the book issue/return entries in the database. For that lots of software is available. Still human involvement is required. To avoid that human involvement the IoT provides a feasible and efficient solution. Till date various systems proposed and developed to improve the quality of issuing and returning book from/to library. This paper proposed system which will be physically fixed in library. The machine works with smart-card and electronic magnetic waves. The smart card uses Near Field Communication Technology (NFC). This new concept will reduce cost of labor, time management and paper consumption using IoT sensors. In the given Paper, we have used NFC technology for Library Transactions to make it more feasible and efficient. We have used Magnetic sensors which generates magnetic waves and activates the chip mounted on smartcard required for transactions. IoT provides the solution using NFC tags. Those tags will store the data automatically in a computer when it comes in a range of electromagnetic waves. Also automization in a work reduces the human efforts and minimizes the errors in a system. This will also keep a record updated. Due to this loss of book will be minimized.
Implementation of pedagogical solutions to increase the efficiency of the digitalization of learning at the university

The article discusses the implementation of digital technologies in the higher education system, which opens up new opportunities for the design of new pedagogical solutions. The authors highlight the ways to create a digital educational space and content application through digital technologies. The main directions of implementation of pedagogical solutions to improve the results of the teaching and learning process in the context of digitalization of education are described. The main areas of application of ICT tools in the educational process of the University for improving the content of teacher education are considered, formation of a high level of information culture. The means of using interactive innovative technologies, automated systems are analyzed, allowing to equip with new information arrays of resource support of the university, for the competent use by teachers of the potential of modern information technologies for solving practice-oriented tasks of professional activity. All of these diverse methods and approaches, selected by the authors contribute to the development of students ' creative abilities, mastering new technologies.