Reviewerly/exHarmony huggingface dataset:
The rebelliousness of the colors: a research on the chromatic palette of the game Persona 5

Abstract:  The digital gaming market is constantly rising. Thanks to the advance of technology,  various possibilities of interaction emerged ; the gameplay is not only limited to pushing buttons in a joystick. The games'visual design has become more diverse: avatars created through the use of cameras; ultrarealistic character and scenery design; and a design inspired by cartoons and Pixel Art – a reference from 80s and 90s media. Such as audiovisual creations, the diversity of styles, graphics, and sounds contribute to a level of immersion, aspired by game developers. In this paper, we focused on that immersive dimension, exploring the interdisciplinary fields of Communication, Psychology, and Design. We propose the analysis of the chromatic aspects on the PlayStation game  Persona 5 , through a framework that was developed by Russell (1980), later adapted by Geslin  et al  (2016). The purpose of this paper is to use such framework to evaluate the sensations caused by colors, and apply it in the analysis of visual and immersive aspects in digital games, using as corpus the aforementioned game, as well exploring how the idea of rebelliousness is approached.
Database Private Security Jurisprudence: A Case Study using Oracle

Oracle is one of the largest vendors and the best DBMS solution of Object Relational DBMS in the IT world. Oracle Database is one of the three market-leading database technologies, along with Microsoft SQL Server's Database and IBM's DB2. Hence in this paper, we have tried to answer the million-dollar question “What is user’s responsibility to harden the oracle database for its security?” This paper gives practical guidelines for hardening the oracle database, so that attacker will be prevented to get access into the database. The practical lookout for protecting TNS, Accessing Remote Server and Prevention, Accessing Files on Remote Server, Fetching Environment Variables, Privileges and Authorizations, Access Control, writing security policy, Database Encryption, Oracle Data Mask, Standard built in Auditing and Fine Grained Auditing (FGA) is illustrated with SQL syntax and executed with suitable real life examples and its output is tested and verified. This structured method acts as Data Invictus wall for the attacker and protect user’s database.
Library Guides: Copyright and Your Thesis or Dissertation: Publishing Your Thesis or Dissertation

This guide answers common copyright questions related to theses and dissertations, including reusing your own and others' content. This page explains copyright considerations involved with publishing your thesis or dissertation.
The T-Stick Music Creation Project: An approach to building a creative community around a DMI

To tackle digital musical instrument (DMI) longevity and the problem of the second performer, we proposed the T-Stick Music Creation Project, a series of musical commissions along with workshops, mentorship, and technical support, meant to foment composition and performance using the T-Stick and provide an opportunity to improve technical and pedagogical support for the instrument.Based on the project's outcomes, we describe three main contributions: our approach; the artistic works produced; and analysis of these works demonstrating the T-Stick as actuator, modulator, and data provider.
Secure Healthcare Record Management Systems with effective Machine learning and Block chain Techniques

Medical care continues to be one of the most indispensable parts of human life and gradually over the years, the healthcare industry has been dealing with massive amounts of data. With the advent of digitalization and the adoption of information technology practices, there has been a paradigm shift in the way medical data is stored and managed. Unlike normal transactional data, medical data is composed of a variety of subjects such as reports, prescriptions, and x-rays and their intricate relationships. Given the traits of such complex nature and the sensitive information that medical data deals with, an efficient digital solution comprising a comprehensive Medical Record Management System is the need of the hour. Run of the mill IT solutions lack efficacy and are inadequate to deal with the security and privacy concerns that are tied to medical data. Efficient Medical Record Management Systems help preserve the value medical data generate and aid in aspects such as hassle-free transfer of data across hospitals and providing quality data to researchers thereby potentially saving lives. In this chapter, we propose approaches to define an efficient Medical Record Management System using blockchain and tamper-proofing algorithms with their associated frameworks. We provide an overview of these technologies and discuss case-studies to design and implement end-to-end Medical Record Management Systems with core functionalities.
Online Auction System

Online auctions are now an immensely popular component of the electronic marketplace.Online Auction management system is a web based application which will help users to buy or sell item.This application will allow users to post their products for auction; bidder can register and can bid for any available product around their location.It is developed with the objective of making the system reliable, easier and fast and to sell or order the products on the website from our house.The online auction system is based on the concept where a product is valued for the highest price.In most online auctions, the products listed for an auction are located away from the bidders location.In our auction system, the bidders or buyers can view the products in auction process which is located around his surroundings.So that the bidder or buyer can participate in auction for his nearby products.
Decomposition Bounds for Influence Diagrams

Author(s): Lee, Junkyu | Advisor(s): Dechter, Rina | Abstract: Graphical models provide a unified framework for modeling and reasoning about complex tasks. Example tasks include probabilistic inference and sequential decision making under uncertainty. Influence diagrams extend Bayesian networks with decision variables and utility functions to model the interaction between an agent and a system aiming to capture the agent's preferences. The standard task is to compute the maximum expected utility (MEU) over the influence diagram and a corresponding maximizing sequence of policies. However, finding the MEU is intractable, and it is one of the most challenging tasks in graphical models. Therefore, the goal of this dissertation is the development of decomposition bounds for influence diagrams. Computing upper bounds on the MEU is desirable also because upper bounds can facilitate anytime-solutions by acting as heuristics to guide search or sampling-based methods. Most earlier approaches for upper bounding the MEU relied on polynomial reductions to other standard tasks in graphical models. However, such reductions are ineffective in practice since they highly inflate the problem size that needs to be solved. In this dissertation, we present two direct bounding methods for IDs. The first builds on the algebraic framework for influence diagrams, called valuation algebra. Using this framework, we extend two earlier decomposition bounds to the MEU task. The second method provides upper bounds by exploiting an exponentiated utility form of the MEU which can be bounded by a conventional task (i.e., marginal MAP) over a standard probabilistic graphical model. This enables the use of two variational decomposition bounds for the well known marginal MAP task, yielding what we call exponentiated utility bounds for the MEU. For both cases (using valuation algebra and using exponentiated utilities), we present two kinds of message passing algorithms derived from bounding schemes on the marginal MAP task. One is the generalized dual decomposition algorithm, which propagates messages over a join-graph decomposition of an ID. The other is a weighted mini-bucket algorithm that propagates messages over the mini-bucket tree decomposition. We evaluated all the algorithms empirically and compared them against earlier approaches over four synthetic benchmark domains. The empirical evaluation results show that our direct bounding schemes generate upper bounds that are orders of magnitude tighter than previous methods. In addition, the exponentiated schemes turn out to be, overall, far more effective. We also evaluated our algorithms on the well-known system administration domain and observed that one of the exponentiated algorithms exhibited a remarkable performance generating upper bounds that are within a factor of two from the exact MEU.
Can We Infer Player Behavior Tendencies from a Player’s Decision-Making Data? Integrating Theory of Mind to Player Modeling

Game AI systems need the theory of mind, which is the humanistic ability to infer others' mental models, preferences, and intent. Such systems would enable inferring players' behavior tendencies that contribute to the variations in their decision-making behaviors. To that end, in this paper, we propose the use of inverse Bayesian inference to infer behavior tendencies given a descriptive cognitive model of a player's decision making. The model embeds behavior tendencies as weight parameters in a player's decision-making. Inferences on such parameters provide intuitive interpretations about a player's cognition while making in-game decisions. We illustrate the use of inverse Bayesian inference with synthetically generated data in a game called \textit{BoomTown} developed by Gallup. We use the proposed model to infer a player's behavior tendencies for moving decisions on a game map. Our results indicate that our model is able to infer these parameters towards uncovering not only a player's decision making but also their behavior tendencies for making such decisions.
PERBEDAAN PENGUKURAN OBJEKTIF AKTIVITAS FISIK DENGAN FUNGSI KOGNITIF PADA ANAK USIA 4 TAHUN

Early childhood is a period of rapid physical and cognitive development, at which time a child's habits begin to form. Lifestyle behaviors that are developed early in life can affect the level and pattern of physical activity in his life. Having an active role in aktivitas fisik can benefit the process of developing motor skills and cognitive development. Growth and physical development and cognitive of children is one thing that is very important to note. However, there are still many children who do not do physical activity in accordance with the recommendations and guidelines that have been agreed to know the time spent by children in doing physical activity every day, and the benefits of physical activity on cognitive function. Therefore, the aim of this study is to examine differences in objective measurement of physical activity and cognitive function in children aged 4 years. The method used in this study is causal comparative with the population in this study are children aged 4 years who are attending kindergarten, PAUD, and Study Groups in Bandung City and West Bandung Regency. Involved 40 children aged 4 years who participated as a sample in this study. Data collection with an objective method is done using the ActiGraph accelerometer to measure physical activity and EYT Toolbox Go No Go and EYT Toolbox Mr. Ant to measure cognitive function in children aged 4 years. The result, the difference in objective measurement of a physical activity in 4-year-olds is p (0.00) 0.05, which means there is no significant difference.Keywords: Objectively Measured, Physical Activity, Cognitive Function, Children 4 years of age.
Lessons of stage art by V.V. Sladkopevtsev in the works of S.A. Yesenin

The article analyzes for the first time the little-known information about meetings and performances of S.A. Esenin with an actor and a famous theater teacher of the 1920s V.V. Sladkopevtsev. The role of V.V. Sladkopevtsev’s lessons of the performing arts in Esenin’s stage skills, recitation and poetic creativity is revealed using the theoretical propositions and "consistent painting of classes" published by him in the book “The Art of recitation” (1910), as well as the currently known documents and testimonies of contemporaries. It is shown that communication with Sladkopevtsev and other figures of Society of the Artistic revival of Russia was important not only in revealing Esenin’s natural acting talent, in mastering the skill of sounding words and acting, but also in the poet’s creative evolution, in diverse manifestations of the synthesis of musicality and visualization of his works, as well as in the theoretical understanding of the issues of the connection between art and the life of the Russian people.
Protect data and be alert to online cyber threats

PEKAN, 18 May 2021 - Universiti Malaysia Pahang (UMP), through the Centre for Information and Communication Technology (PTMK), advises university residents to always ensure that all internet-related applications are updated and upgraded and always be careful with emails and links from suspicious sources.
LEI DE ACESSO À INFORMAÇÃO: ESTUDO DA TRANSPARÊNCIA PASSIVA E TRANSPARÊNCIA ATIVA NA UNIVERSIDADE FEDERAL DA BAHIA

This article analyzes the results of the Law no 12,527/2011 - Law on Access to Information (LAI) implementation, at the Federal University of Bahia, in in its passive and active transparency. Considering the international and national experiences, it was verified that the institution implemented the LAI with a incomplete culture of spontaneous availability of information. In the passive transparency dimension, the findings indicate an incomplete convergence of the institution regarding the fulfillment of the demands under the law. It was not found however, the phenomena of capture of the instruments of access to information by organized economic groups, the occurrence of implicit negatives and the presence of generalized difficulties in the fulfillment of requests. In the active transparency dimension, it was observed that the UFBA presents the mandatory data determined by law. It was noticed, gaps in the architecture of its electronic pages, resulting in obstacles for users to locate information’s. It is concluded that UFBA has made progress in complying with LAI in relation to legal determinations, but faced implementation failures in relation to the dimensions of access to information analyzed.
A New Approach to Assess Fractal Coefficients using Imperialist Competitive Algorithm for Color Images

We explore the use of fractal compression using ICA for the coding of color images, considering the proximity to dissimilar scales. The philosophy suggested by Jacquien is really versatile, which allows us to improve the various phases associated with related figure. We note that the selection of the objectivity used to evaluate the own-equivalence between a square range R and a square range detected R is fundamental for the estimation. Believe it or not, the choice of estimate chooses the perfect parameters of relative change. In our valuation, we assume the imperialist theory and take a look at their shows. We have also developed a direct rapid detangling plan, significant for irrefutable utilization. Given article monitors the alteration of fractal compression estimation to color imaging evaluations using DCT and ICA. We have assess the performance of proposed algorithm on some picture databases (color images). An evaluation with JPEG evaluation represents significant progress to assess and evaluate fractal coefficients significantly.
Performance Evaluation of Classification-Based Association Rule Mining for Knowledge Discovery

Association rule mining is used to find the interesting association or correlation relationships among a large set of data items. This paper proposes classification-based association rule mining (CBA). Besides this, the performance of Apriori algorithm is also analyzed on five UCI machine learning datasets. Weka tool is used to analyze the performance of Apriori algorithm. The classification based on Apriori is compared with the existing classification techniques. The proposed classification algorithm exhibits superiority over the existing classification algorithms .
MANET of an Effective Defence Scheme for Suggestion Based Trust Model

The immovable nature of passing on packages through multi -bounce middle hubs is a critical problem in the versatile impromptu organizations (MANETs). The disseminated versatile hubs set up associations with structure the MANET, which may incorporate childish and getting into mischief hubs. Suggestion based trust the board is proposed in the creating as a system to evaluate through the acting up hubs while looking for a bundle conveyance course. Nonetheless, building a trust model that embraces suggestions by different hubs in the organization is a difficult issue because of the danger of deceptive proposals like reviling, voting form stuffing, and conspiracy. we examines the issues identified with assaults presented by getting rowdy hubs while proliferating suggestions in the current trust models. We propose a suggestion based trust model with a safeguard plot, which uses grouping method to progressively sift through assaults identified with exploitative proposals between certain time dependent on number of collaborations, similarity of data and closeness between the hubs. We evaluate the trust degree as two cases like direct and indirect trust values between neighboring nodes from source. To form a clustering routing network from similar trust values from S to D.The model is experimentally tried under a few portable and detached geographies in which hubs experience changes in their local prompting regular course changes. The observational investigation shows heartiness and exactness of the trust model in a dynamic MANET climate.
Aperta per chi. L’Open science alla ricerca dei lettori

Public debate and divulgation are essential components of publisher’s work: making academic reflection contribute to the cultural discussion and to the formation of citizens means going well beyond mere access to arrive at full accessibility of content. But in order to achieve a science truly open to all, it is necessary to start from the great absent in the current discussion, that is the reader.
Development and Testing of a New Tensile Grip based on Failures Analysis of Tensile Test for Insulating and Sheathing Materials

When conducting tensile tests for insulating and sheathing compounds with the common tensile grips, failures often occur due to specimen slipping or breaking in grips, resulting in low efficiency of the test and unreliable results. By mechanical analysis and FEA, three reasons for the failures were found: uncontrollable gripping force, premature damage and excess stress. Combining with the existing grips, we summarized the main performance requirements for the grips. Based on it, we designed a new tensile grip with a new gripping method. Different from the usual direct gripping method, the specimen is held tightly by means of winding gripping method and kept vertically symmetric through locating mechanisms between two grips. Furthermore, we established a 3D model of the grips with SOLIDWORKS and verified the feasibility of winding gripping method by finite element analysis. Finally, the physical prototype is made for further proof that the design can successfully solve the premature failures and make the test results accurate and reliable, which meets the requirements of the standard. In this way, the success rate and efficiency of the test was improved: from less than 78% to more than 90%. This paper provides a method and reference for selecting gripping method and tensile grip to conduct tensile test for insulating and sheathing materials.
E-Records Integrity – Data Warehouse And Data Mart Layer

Once a vast quantity of data is being generated and stored, it is becoming important to preserve the integrity of the information that’s collected. Understanding the basics of data integrity (DI) and how it works is the initial step in retaining the reliability of the data and keeping it safe. This article provides the DI issues in a Data...
PERANCANGAN ALAT KEAMANAN RUMAH BERBASIS ANDROID

This research aims to develop an Android-based home security device that uses a Quality Function Deployment (QFD) approach. In developing an Android-based home security system that can reduce theft in Kavling Nato Permata, this tool consists of an electromagnetic door lock called a magnetic lock that controls the opening and closing of the front door, which is controlled by an Android phone through the Ewelink Application which displays realtime results captured by the camera for indicates the situation when someone enters. This security system has been tested on the operating principle that if someone forces open or destroys the door of the house when it is closed, the system will activate a warning or an alarm bell will sound because the proximity sensor is connected to the connected switch for the resulting magnetic closure. However, if the lock is opened by the security system, the LDR sensor will turn off and the alarm will not. Through this security system, it is hoped that this security system can be a solution to increase the level of security at home and reduce and prevent theft.
A Desk Analysis On Humanoid Robot

There is diverse course advancement of wheel robots are active for covered surroundings and various robots are helping within society in diverse sincerity regions in like manner using one as of the existing course methodology. A bit of the allocation robots are outstandingly renowned similar to robots of China allocation in diners are using stroke fan course advancement and a couple of papers discussing the RFID based course development as well. In this assessment, the relationship of SLAM based course advancement with line ally and RFID Navigation development independently to prove the extension in adequacy of SLAM robots in assessment with others is discussed. Humanoid robots are engaging; in various public domains robots are allocation and besides pull in general society by their stunning capability just as by their arrangement. Regardless, for new organizations the gathering of a humanoid robot goes with massive cost, as a result it is critical to make a light heaviness robot to diminish the rate devoid of distressing the presentation of robot.
PERANCANGAN SISTEM E-LEARNING BERBASIS WEB PADA SD MADRASAH IBTIDAIYAH NEGERI (MIN) 1 KAB. TANJUNG JABUNG BARAT:

E-Learning is distance learning that utilizes computer technology, computer networks and the Internet. E-Learning is an online learning medium that is open search. Currently SD MIN 1 Kuala Tungkal is using the Whatsapp application for an online learning system. However, using the WhatsApp application has several drawbacks or negative impacts. Therefore, a web-based E-Learning system was designed that would make it easier for teachers and students to carry out the learning process. This E-learning system has a student attendance service to make it easier for teachers to recap absences, download and upload services for assignments and materials by uploading them to the system. In addition, there is also information on student grade data, teacher information, class information, subject information, reports and an online examination system.