Reviewerly/exHarmony huggingface dataset:
THE EFFECT OF ESTAFET WRITING TECHNIQUE TO IMPROVE STUDENTS’ ABILITY IN WRITING PROCEDURE TEXT

This study aimed to know the effect of estafet writing to improve students’s ability in writing procedur text. Writing is one of the most important skill that should be mastered by students. But, sometimes the students have difficulties to express their writing because of many factors. The problem that faced by the students in writing are the students have problem in spelling, grammar, punctuation, uninterested media, do not have enough vocabulary so the students repeating the same words, and they often made grammatical errors. Estafet Writing is one of the active learning technique and also an innovative learning model in which one the students starts writing which is continued again one after another. It’s one of the techniques that is easy to learn and can be effective way to teach writing procedure text. To achieve the aim of the study, one class of a junior high school in Indramayu with 33 students was taken as the sample of the research. To help students to write procedur texts, estafet writing was used in the classroom. The data were obtained from pre-test and post-test. The result of this research showed that the students’ mean score in the pre test is 61.93 and the students’ mean score in post test is 81.78. This study shows that there is improvement of students’ ability in writing procedure text and the students give positive responses after being taught by using Estafet Writing Technique.
Evaluating the Health Status of Injured People due to Road Accidents.

Road accidents are one of the major causes of loss of life, injuries and damage of property. The aim of this paper is to assess the overall health status (physical and psychological) of road accident victims and to propose a Health IT system to managing the assessment procedure. A prospective observational study was conducted among 474 people attended to the emergency department, after a road accident. 30% of the participants were 18-28 years old. After the road accident, most patients (67.1%) did not develop depression and 3 and 6 months after the accident, depression levels were higher. In contrast, the patients' QoL showed improvement over time. As road accidents seems to be a high risk incidents that can affect the health status of people, an Health IT system is suggested to contribute on the management of the assessment of the patients' health status.
Perancangan E-commerce Website Asy-Syifa CARE Menggunakan Framework PHP: CodeIgniter

Problems regarding health complaints and community needs for herbal medicines always increasing in every year. The purpose of this research is to implement the Asy-Syifa CARE’s e-commerce website which has a function as a media for promotion and selling of herbal medicines by online way. This research took a case on Asy-Syifa CARE startup, by collecting data through the secondary data sources. Data collection techniques carried out by the author is using literature studies on scientific journals related to e-commerce websites as a media for product promotion and sales. The results of this research is an e-commerce website using framework CodeIgniter version 3.1.9 that uses the MVC programming concept (Model-controller-view). Expectations from the results of this research is can helping Asy-Syifa CARE startup in improve the quality of their product branding in digital marketing, so they able to increase the revenue statistics and be able to compete with another e-commerce website competitors.
On Satisfiability of Nominal Subtyping with Variance

Nominal type systems with variance, the core of the subtyping relation in object-oriented programming languages like Java, C# and Scala, have been extensively studied by Kennedy and Pierce: they have shown the undecidability of the subtyping between ground types and proposed the decidable fragments of such type systems. However, modular verification of object-oriented code may require reasoning about the relations of open types. In this paper, we formalize and investigate the satisfiability problem for nominal subtyping with variance. We define the problem in the context of first-order logic. We show that although the non-expansive ground nominal subtyping with variance is decidable, its satisfiability problem is undecidable. Our proof uses a remarkably small fragment of the type system. In fact, we demonstrate that even for the non-expansive class tables with only nullary and unary covariant and invariant type constructors, the satisfiability of quantifier-free conjunctions of positive subtyping atoms is undecidable. We discuss this result in detail, as well as show one decidable fragment and a scheme for obtaining other decidable fragments.
Crawling Data Customer Pada Aplikasi Smarsofi Untuk Layanan Digital Marketing

Current communication can be carried out without having to come face to face, without limitation of space and time, namely through the internet. the availability of internet connectivity is a necessity for all people in almost all activities. The growth of internet users influences changes in the pattern of society in communicating and socializing also has an impact on business trends, one of which is the aspect of promotion and marketing. Conventional promotion through printed media has shifted to online media. Printed media turned to digital form which was then disseminated very easily through the internet to many people in general. This paper will examine the smarsofi application or smart social wifi application that utilizes connectivity accounts from wifi users to collect data. in this case is the visitor's data from a café. The main objective is to facilitate the process of collecting visitors to the café connected to wifi, which will then be forwarded to the distribution (broadcast) of digital promotional content.
Do Ethical Leadership and Psychological Capital enhance Knowledge Creation in Research Organizations

The aim of this paper is to empirically investigate the influence of ethical leadership and psychological capital on knowledge creation in organizations. Furthermore, the paper investigates the mediation model in which the impact of ethical leadership on knowledge sharing is mediated by psychological capital. The analysis is based on data collected from 286 members of public sector research organizations using survey questionnaire. Findings reveal that ethical leadership and psychological capital have positive effect on knowledge creation. Psychological capital also acts as a mediator between ethical leadership and knowledge creation. This paper gives new insights into the creation of knowledge by members of organization by the additional dimensions of ethical leadership and psychological capital. Organization leaders should conduct themselves in an ethical manner for enhancing knowledge creation. They should also focus on organizational interventions to enhance psychological capital in order to promote knowledge creation.
A Novel Image Perturbation Approach: Perturbing Latent Representation

Deep neural networks are state-of-art models in computer vision and image recognition problems. However, it is shown that these models are highly vulnerable to intentionally perturbed inputs named adversarial examples. This problem has attracted a lot of attention in recent years. In this paper, a novel approach is proposed for generating adversarial examples by perturbing latent representation of an input image that causes to mislead trained classifier network. Also, it is shown that perturbing dense representation of image results in transforming key features of it with respect to classification task. Our experimental results show that this slight transformation in the features of the image can easily fool the classifier network. We also show the impact of adding perturbations with the large magnitude to the corresponding generated adversarial example.
Stuck in the Middle with YOU (Your Open URLs)

What started out as a way to “clean up” the OpenURL data coming from PubMed and into ILLiad turned into a Proof of Concept for more advanced URL “massaging” using a PHP script that sits between Alma and ILLiad. Come check out our presentation to see how you can use “Resource Sharing Partners” and the Alma API to intercept requests from Alma into other systems. This presentation will walk you through all the steps you need to make your own enhancements and will seek to answer any questions you have about how to make these changes yourself.
VAE Based- NCF for Recommendation of Implicit Feedback

The recommendation system is one of the core tasks of data mining. It divided into the recommendation system for explicit feedback and the recommendation system for implicit feedback. In recent years, many researchers have combined deep learning with recommendation system of explicit feedback and achieved excellent results. But it is very rare for implicit feedback. In this paper, we apply deep learning to the recommendation system for implicit feedback, and propose a new model that is combined with Neural Collaborative Filtering and Variable automatic-encoder. We use the MovieLens dataset to evaluate our proposed model. Experimental results show that the proposed model effectively improves the accuracy and quality of the recommended results, the Precision is 0.715 and the NDCG is 0.436 without manual parameters.
A study on fuzzy Chordal graphs

The definition of fuzzy chordal graph is given by John N Moderson and Premchand S Nair in [5] .In this paper we study some properties of fuzzy chordal graphs.We compare fuzzy chordal graphs with chordal graphs in crisp case and some counter examples were constructed.
Role of Signal Squeezing in Continuous-Variable Quantum Key Distribution Over Fluctuating Channels

We address the use of squeezed signal states in continuous-variable quantum key distribution over optical channels inclined to fluctuations, which are known to limit applicability of the protocols. We show advantage of using squeezed states of light in such scenario in comparison to conventional use of coherent states. The squeezing however should be optimized for the given channel conditions. The results are promising for realization of efficient secure quantum communication over fluctuating channels, which can be part of hybrid photonic networks.
Proof of Correctness and Time Complexity Analysis of a Maximum Distance Transform Algorithm

The distance transform algorithm is popular in computer vision and machine learning domains. It is used to minimize quadratic functions over a grid of points. Felzenszwalb and Huttenlocher (2004) describe an O(N) algorithm for computing the minimum distance transform for quadratic functions. Their algorithm works by computing the lower envelope of a set of parabolas defined on the domain of the function. In this work, we describe an average time O(N) algorithm for maximizing this function by computing the upper envelope of a set of parabolas. We study the duality of the minimum and maximum distance transforms, give a correctness proof of the algorithm and its runtime, and discuss potential applications.
Manajemen Alokasi Bandwidth Layanan Internet Menggunakan Fractional Knapsack Problem

The technical problems faced in e-government implemented by the Ministry of Religion of Indonesia since 2015 are minimal bandwidth requirements to provide information services and behavior of users who access entertainment sites. When peak hours occur, the congested network often occurs which becomes a significant bottleneck. This study aims to implement bandwidth management using the fractional knapsack problem method by limiting access to entertainment services. The QoS parameters used in this management are throughput, delay, and jitter. The method was tested using a paired t-test using throughput, jitter, and delay test parameters by comparing test parameters before and after bandwidth management applied. The significance value produced is between 75-85%. The method used can control the amount of traffic for each service, but on the other, hand the delay and jitter are still high. It is necessary to add additional free space to each service that can be used when needed to reduce the delay and jitter.
PENGEMBANGAN SISTEM INFORMASI RESERVASI DAN CUSTOMER RELATION MANAGEMENT PADA RESTORAN 3 WISE MONKEYS

The current competitions between businesses is getting more intense, one of those competitions is in restaurant business. 3 Wise Monkeys is a restaurant that is trying to improve its customer service. One of the main problems is the unavailability of tables when they come to the restaurant, whcih can affects customer’s judgement. This research aims to help the customer and restaurant owner by designing an online reservation system to book the table and food. The benefit of the system for the customer is that they can choose their table and the menu even before they arrive to the restaurant. Furthermore, there is doorprize feature for the customers who make online reservatoin, making them want to come back in the future and use the online system. The benefit for the restaurant owner is the system can produce informations regarding the number of members, what is the favorite menus, and what time is the busiest hour for the restaurant
Multiplication and squaring in cubic and quartic extensions for pairing based cryptography

This paper proposes multiplication and squaring algorithms over cubic and quartic extensions for implementing pairing-friendly fields as the tower of fields efficiently. The algorithms are designed by introducing the Gauss periods of type (h, m) for constructing the normal basis. The costs are compared with several wellknown methods such as the Karatsuba method, and as a result, it is found that the proposed methods work with smaller or almost equal costs than the conventional methods.
Are Outlier Detection Methods Resilient to Sampling?

Outlier detection is a fundamental task in data mining and has many applications including detecting errors in databases. While there has been extensive prior work on methods for outlier detection, modern datasets often have sizes that are beyond the ability of commonly used methods to process the data within a reasonable time. To overcome this issue, outlier detection methods can be trained over samples of the full-sized dataset. However, it is not clear how a model trained on a sample compares with one trained on the entire dataset. In this paper, we introduce the notion of resilience to sampling for outlier detection methods. Orthogonal to traditional performance metrics such as precision/recall, resilience represents the extent to which the outliers detected by a method applied to samples from a sampling scheme matches those when applied to the whole dataset. We propose a novel approach for estimating the resilience to sampling of both individual outlier methods and their ensembles. We performed an extensive experimental study on synthetic and real-world datasets where we study seven diverse and representative outlier detection methods, compare results obtained from samples versus those obtained from the whole datasets and evaluate the accuracy of our resilience estimates. We observed that the methods are not equally resilient to a given sampling scheme and it is often the case that careful joint selection of both the sampling scheme and the outlier detection method is necessary. It is our hope that the paper initiates research on designing outlier detection algorithms that are resilient to sampling.
TECHNOLOGY EMPOWERED STUDENTS “PREPARE YOURSELF FOR INTERCONNECTED WORLD”

Rapid development of digital technology has changed the skills required in the job. Universities are, without question, making attempts to change in facing the challenges in the era of industrial revolution 4.0. In the first part of this paper, the rapid changing of the technology, highlighting the rapid change in industry and education, is discussed along with the exponential growth of innovations. The Presence of Artificial Intelligence that has changed jobs and skills required in the industries and other areas are addressed in the second part. The last section of this paper, some tips on how to face the rapid changes of technology and how to continue learning beyond the classroom wall are discussed.
Visual Analytics of Event Data using Multiple Mining Methods

Most researchers use a single method of mining to analyze event data. This paper uses case studies from two very different domains (electronic health records and cybersecurity) to investigate how researchers can gain breakthrough insights by combining multiple event mining methods in a visual analytics workflow. The aim of the health case study was to identify patterns of missing values, which was daunting because the 615 million missing values occurred in 43,219 combinations of fields. However, a workflow that involved exclusive set intersections (ESI), frequent itemset mining (FIM) and then two more ESI steps allowed us to identify that 82% of the missing values were from just 244 combinations. The cybersecurity case study's aim was to understand users' behavior from logs that contained 300 types of action, gathered from 15,000 sessions and 1,400 users. Sequential frequent pattern mining (SFPM) and ESI highlighted some patterns in common, and others that were not. For the latter, SFPM stood out for its ability to action sequences that were buried within otherwise different sessions, and ESI detected subtle signals that were missed by SFPM. In summary, this paper demonstrates the importance of using multiple perspectives, complementary set mining methods and a diverse workflow when using visual analytics to analyze complex event data.
The Development of Reading Materials in School Literacy Movements for Senior High School Students Based on Local Culture of Karo

Literacy has the meaning and implications of basic reading and writing skills to acquire and manipulate knowledge through written texts, from metalinguistic analysis of grammatical units to the structure of oral and written texts. This study deals with the development of reading materials in school literacy movements for senior high school students based on local culture of Karo. The type of this study is development study that is the development of short story text reading materials based on character education as an ingredient in the school literacy movement. This development study refers to the development theory proposed by Borg and Gall. The conclusion of this study is the feasibility of reading material in the school literacy movement for senior high school students based on local culture of Karo is eligible and suitable to be used as reading material, based on the assessment of material experts, and design experts. The results of the assessment based on the responses of teachers and students in the Senior High School 1 of Berastagi concluded that reading material in the school literacy movement for senior high school students based on local culture of Karo had been found to be effective because it met the needs and overall criteria "very good".
Os problemas no ensino e na aprendizagem dos tempos passados do modo indicativo da língua portuguesa: o caso dos alunos polacos

The aim of this paper is to demonstrate certain problems occurring in teaching and learning past tenses in Portuguese by Polish students. The study will present primarily some questions related to the category of tense and category of aspect in the Polish and Portuguese languages. The basic differences between both systems, which make the acquisition of the Portuguese past tenses by Polish students difficult, will also be underlined. At the same time, the analysis of some of the grammars and books for learning Portuguese as Foreign Language will be conducted. The aim of the analysis will be to verify if the material regarding the past tenses allows the students to systematize their knowledge on the topic.
A case study of CryptoBin algorithm

The use of location-based solutions has improved significantly over the last few years. However, data encryption has become very important to maintain confidentiality and privacy, especially in the military and civil fields. This paper will present an application that encrypts data on the location and movements of military personnel or civilian researchers within an area on a specific mission, Using two transmission circuits and one receiver that is controlled by a microcontroller programmed by the encryption algorithm. This application is used and modified in several situations and each case depends on the nature of the mission and the nature of the surrounding environment. The proposed system is tested in three different environments and achieves good results. This application can meet the confidentiality, authentication, simplicity and practicality of security issues as a result of frequency and speed tests.
A Game-Theoretic Framework for Safety and Security

The purpose of this paper is to describe the Framework described in [BG16] in a game theoretic way. The idea behind this is that for modelling security (i. e. the assumption of an intelligent attacker) the language of game theory seems to be a very good choice. Game theory can deal with the problem where the actions of each subject are interdependent, e.g. an attacker will change his strategy whenever a new security feature will prevent his old strategy from succeeding or a new attack seems to be more promising. Moreover, game theory has been thoroughly studied and hence changing the description language of the model, gives access tomany results. Additionally, we view the Beyerer and Geisler Framework as part of security economics.
Mobile interaction and security issues

People once witnessed an interaction method between a user and mobile devices where buttons used to play a prominent role in interacting with the device. However, such interaction has been developed from the past in a variety of ways as we can see from the advancement of smartphones, tablets, and smart devices. Buttons were replaced with a touch screen system, along with many new methods to interact with a mobile device such as voice, camera, and fingerprint. These novel methods have a lot of input, saying the Virtual Reality and Augmented Reality that already has been taken in by the mobile devices. The modern interaction methods aim to give its users the best experience in the areas of communication and interaction. They are expected to have a great ability to access and simple to use. Regardless of the positive light, the new interaction methods may provide, they arguably have a shortcoming for its safety of use. Seeing that the security issues of advanced interaction methods should be explored further, this article has been conducted on the pattern of interaction, both direct and indirect way, between devices and users in different methods to see the potentiality of the security issues that may harm its users.
Relative Generalized Minimum Distance Function

In this paper we introduce the relative generalized minimum distance function (RGMDF for short) and it allows us to give an algebraic approach to the relative generalized Hamming weights of the projective Reed--Muller--type codes. Also we introduce the relative generalized footprint function and it gives a tight lower bound for the RGMDF which is much easier to compute.
Mind-controlled gadgets

Elon Musk wants to meld our minds with machines. Can it be done, asks Ruby Prosser Scully