Reviewerly/exHarmony huggingface dataset:
First Degree Murder Reflected in Gillian Flynn's Gone Girl (2012) : A Sociological Prespective

This study aims to identify of the issue of first degree murder in Gone Girl (2012) novel by Gillian Flynn. This research uses theory of sociological prespective. The type of this study is qualitative descriptive. The method of collecting data in this research is note taking technique. This study has two data source, namely primary data and secondary data. Gone Girl novel by Gillian Flynn is the primary data source. Online journals, research paper, website, article and bibliography of the writer, that related with the issue of the murder are the secondary data. The purposes of this research are as follows to identify the indicator of first degree murder, to describe the first degree murder depicted in the novel and to reveal the reason why the author addressed the first degree murder in the novel. The results of this study are as follows (1) there are three indicators of first degree murder such as willfulness/intent, deliberation and premeditation, and malice aforethought (2) the author depicted the first degree murder through character, setting, event, and style, (3) the author addressed the issue of first degree murder because the author wanted to make a novel about dark things, breakage and trouble female character.
A Formalization of the Slippery Slope Argument

To bridge the gap between human reasoning and machine reasoning, one of the key problems in argumentation research is how to model natural language arguments by formal argumentation. The slippery slope argument (SSA) is a commonly used type of argument in the context of deliberation, with the intent of persuading people not to take a particular action. In this paper, an argumentation theory for the basic form of SSA is given based on the formal argumentation framework $$ASPIC^+$$ and argumentation schemes of SSA. Then, an SSA occurrence in a popular blog post about gene editing is taken as an example. By analyzing the case, this paper tries to model these arguments based on our argumentation theory and evaluates the arguments using abstract argumentation frameworks. The paper then points out that since whether an SSA is persuasive rests on whether its ultimate consequence is really unacceptable to the audience, value judgement should play an important role in the deliberation.
Impact of Digital literacy Training in Two Tier Cities

Two tier cities are those which are yet to witness advanced level of infrastructure development. Now when the government is planning to develop many cities of the country into smart cities, it becomes inevitable for every citizen to upgrade his knowledge about usage of technology for every walk of his life. In this era of digitization and globalization almost every day today actions of individual are affected by information technology. This information technology is no more a knowledge of educated and skilled individuals, because no matter whether an individual is educated or uneducated he/ she need technology for easing his/ her day today conversations/ transactions and entertainment. One of major area where technology is used is to manage individual’s financial transactions. With the promotion of ‘Digital India’ usage of technology for financial transaction has increased manifold. At the same time major sections of Indian population is not so friendly with usage of technology for managing their financial transactions. This prompted us to take up a study to understand the level of digital literacy among the local population. Hence through a structured questionnaire responses of individuals were collected by 3rd semester MBA students in the month of October 2018. The questionnaire prepared to observe the digital literacy knowledge before after training. The study shows that people use technology more for entertainment and very less for financial transactions.
The Study of Gesture Recognition by using Gesture Algorithm and Image Processing

The People are using mask and hand gloves for hacking security devices like smart card and information system. The face detection and image recognition by image processing technique are popular for these security threads. So the complete gesture recognition is also important to find hackers, for that hand and eyes recognition is included in this paper. So the eye moves are to recognize particular person among all people. This paper uses new gesture algorithm to solve those security moves on secure devices. The movements produce by the eyes, face and hand of person is important to understand the signing intention of person by proper communication of human computer and natural contacting of machine and human.Some people are send personal data to network this might be easily broken, so complete moves recognition is required. The security alerts are depend upon these gesture recognition.
吏?μ젙蹂댁궗?뚯쓽 ?ъ씠踰???린??遺꾨쪟? ?ы쉶???몄떇 遺꾩꽍

The Internet cyber space has become more important as it enters the intelligent information society of the 4th Industrial Revolution beyond the...
Improved Related-Tweakey Rectangle Attacks on Reduced-round Deoxys-BC-384 and Deoxys-I-256-128.

Deoxys-BC is the core internal tweakable block cipher of the authenticated encryption schemes Deoxys-I and Deoxys-II. Deoxys-II is one of the six schemes in the final portfolio of the CAESAR competition, while Deoxys-I is a 3rd round candidate. By well studying the new method proposed by Cid et al. at ToSC 2017 and BDT technique proposed by Wang and Peyrin at ToSC 2019, we find a new 11-round related-tweakey boomerang distinguisher of Deoxys-BC-384 with probability of \(2^{-118.4}\), and give a related-tweakey rectangle attack on 13-round Deoxys-BC-384 with a data complexity of \(2^{125.2}\) and time complexity of \(2^{186.7}\), and then apply it to analyze 13-round Deoxys-I-256-128 in this paper. This is the first time that an attack on 13-round Deoxys-I-256-128 is given, while the previous attack on this version only reaches 12 rounds.
CONDITIONS FOR INNOVATIVE ACTIVITY IN RUSSIAN UNIVERSITIES: THE VISION OF STUDENTS FROM ENGINEERING DEPARTMENTS

Y. DidkovskayaUral Federal University named after the first President of Russia B.N.Yeltsin (RUSSIAN FEDERATION)
Red–Black Tree

A red–black tree (RBT) is a type of Binary Search Tree where a new parameter – color for each node – has been defined (Figure 12-1). We learned that after some insert and delete operations, the binary search trees become unbalanced which creates a linked list. Red–black trees solve this problem by balancing elements. Each node has a color which can be black or red. Thus, when declaring a node for the RBT, it must contain a key/value, a color, the reference to a parent node, and the references for the children nodes. RBTs are very useful for worst-case scenarios when processing search, insertion, and deletion operations.
Adversarial Image Translation: Unrestricted Adversarial Examples in Face Recognition Systems.

Thanks to recent advances in deep neural networks (DNNs), face recognition systems have become highly accurate in classifying a large number of face images. However, recent studies have found that DNNs could be vulnerable to adversarial examples, raising concerns about the robustness of such systems. Adversarial examples that are not restricted to small perturbations could be more serious since conventional certified defenses might be ineffective against them. To shed light on the vulnerability to such adversarial examples, we propose a flexible and efficient method for generating unrestricted adversarial examples using image translation techniques. Our method enables us to translate a source image into any desired facial appearance with large perturbations to deceive target face recognition systems. Our experimental results indicate that our method achieved about $90$ and $80\%$ attack success rates under white- and black-box settings, respectively, and that the translated images are perceptually realistic and maintain the identifiability of the individual while the perturbations are large enough to bypass certified defenses.
A Risk Analysis for Seven Consumer Products Excluded in the Product Safety Certification System in South Korea

본 연구에서는 2017년 제품안전정책협의회를 통해 발굴된 비관리 제품 중 예초기안전판, 낫, 톱(톱날), 차량용 캐리어, 스노우체인, 짐볼, 등산스틱에 대하여 위해도를 분석하고 안전관리 필요성을 분석하였다. 제품 별 국내·외 관련 기준 및 사고사례 분석과 델파이 조사를 통하여 제품 별 위해 수준 및 안전관리 필요성을 분석한 후 분석결과에 대하여 외부 전문가 평가, 소비자 및 제조자 등 이해관계자의 의견을 수렴하여 분석결과를 수정 및 보완하여 최종 안전관리 적용 대상 제품을 도출하였다. 분석 결과, 등산스틱과 짐볼은 안전기준 제정을 통한 안전관리가 필요한 항목으로 도출되었으며 안전관리 수준의 경우, 짐볼은 안전확인 대상, 등산스틱은 공급자적합성확인 대상으로 관리해야 되는 것으로 분석되었다. 또한, 장기적인 관점에서 차량용캐리어에 대한 안전관리 필요성과 시험항목 등에 대한 연구를 순차적으로 진행할 필요가 있는 것으로 판단된다.This study analyzed the risk level of non-managed products excluded from the Product Safety Certification System (PSCS) in South Korea and suggested the need of those products to be managed by PSCS. It focused on seven products including lawn trimmer, sickle, saw (saw blade), luggage carrier, snow chain, exercising ball, and alpine stick, which were found hazardous by the 1st Multi-ministries Product Safety Policy Council in 2017. The risk and need of safety management for each product were analyzed using domestic and foreign standards, accident case analysis, and Delphi technique. We then modified the analysis results based on the opinions of stakeholders such as external experts, consumers and manufacturers and suggested which products should be included in PSCS. The results showed that an exercising ball and an alpine stick should be included in PSCS to manage the potential risks. Concerning an appropriate level of safety management for those products, an exercising ball should be managed by safety verification system while an alpine stick by supplier guarantee system. Besides, further study is needed for a luggage carrier regarding its need of safety management and testing items from a long-term perspective.
Penerapan Model Student Teams Achievement Divission Untuk Meningkatkan Hasil Belajar IPS Pada Siswa Kelas V SD Inpres 4/82 Walian

This study aims to improve social studies learning outcomes in fifth grade students of Inpres 4/82 elementary school Walian through the Implementation of the Student Teams Achievement Divission Model. This study uses a classroom action research method consisting of 4 stages: planning, implementing / acting, observing and reflecting. Then to determine student learning outcomes can be calculated using the mastery learning formula. The results obtained in the first cycle reached 65.4% while in the second cycle the results obtained reached 87.8%. Thus it can be concluded that by applying the Student Achievement Achievement Divission model can improve the social learning outcomes of fifth grade students of SD Inpres 4/82 Walian..
Weakly Supervised Adaptation to Re-sizing for Image Manipulation Detection on Small Patches

Basic image processing operations like median filtering and Gaussian blurring in general do not change the semantic content of an image, although they are commonly used to cover fingerprints of falsification that does alter image content such as copy-move and splicing. Therefore image forensics researchers are interested in detecting these basic operations. Some existing detectors track local inconsistencies in statistics of the image. However these statistics are very sensitive to image development process. Thus pre-processing operations can be damaging for performances of such detectors. In this paper, we focus on a very common pre-processing operation, i.e., re-sizing, and study how it affects performance when trying to detect several image processing operations on small patches, with Gaussian Mixture Model (GMM) as feature extractor and a Dense Neural Network (DNN) as classifier. We first show performance drops. We then introduce an adaptation method which relies on better fit to testing data for the feature extraction and fine-tuning for the neural network classifier. Experimental results show that our method is able to improve results with very few labeled testing samples. We also present comparisons with an improved version of a recent CNN(Convolutional Neural Network)-based method.
Modelling, Implementation and Control of a Wind Musical Instrument

This paper presents the second part of a larger project whose final objective is the study of viscous thermal losses in a wind musical instrument from a hardware-in-the-loop simulation platform. After the realization of the platform in the first part of this project, the objective of the second part, presented in this paper, is to adjust the dynamic behaviour of the numerical simulator with respect to the real dynamic behaviour of the test bench. So, in this paper, the different parts that constitute the platform are recalled, and the modelling/validation of each part are described. A control-oriented model is derived. The control architecture is designed for a robust control of the artificial mouth. The robust controller method uses CRONE system design methodology. The investigations show that the design of the artificial mouth and of its controller provides very good dynamic performances.
Obliviousness Makes Poisoning Adversaries Weaker

Poisoning attacks have emerged as a significant security threat to machine learning (ML) algorithms. It has been demonstrated that adversaries who make small changes to the training set, such as adding specially crafted data points, can hurt the performance of the output model. Most of these attacks require the full knowledge of training data or the underlying data distribution. In this paper we study the power of oblivious adversaries who do not have any information about the training set. We show a separation between oblivious and full-information poisoning adversaries. Specifically, we construct a sparse linear regression problem for which LASSO estimator is robust against oblivious adversaries whose goal is to add a non-relevant features to the model with certain poisoning budget. On the other hand, non-oblivious adversaries, with the same budget, can craft poisoning examples based on the rest of the training data and successfully add non-relevant features to the model.
CatBot - um agente conversacional para auxiliar estudantes acadêmicos

The use of ChatBots for various purposes and in many diferent media has grown increasingly in recent times. One of its many utilities has being as an assistant in communicating and transferring information between people. With that in mind, we're introducing in this article a conversational agent, called CatBot, designed for the website of Instituto de Computa c~ao, at Universidade Federal Fluminense, with the purpose of answering questions of the students related to the institute and its courses. Besides that, this bot proposes to reduce the repetitive work done by the employees of Instituto de Computacao, when dealing with several identical doubts.
Weighted Graphs to Redefine the Centrality Measures

Causal graphs are a very useful tool to connect information and study to what extent an effect is provoked by a cause. In this paper we explore the role of weighted graphs to evaluate the degree in which a sentence is direct or indirect cause of an effect, to obtain the path with a highest causality degree between two concepts, and on the other hand, given a context, the two concepts with a strongest causal relationship. We also define some centrality measures, introducing causality degrees and weighted graphs to evaluate the centrality measure of the sentences getting the more relevant sentences from a causal point of view.
Library Class and Subject Guides: Electronic Access - Info and Help: Basic Troubleshooting - Tips & Tricks

The purpose of this guide is to share information to improve access to electronic resources. Tips and tricks to help resolve common access problems from the user end - these are only basic tips and tricks. If the problem still persists, contact eraccess@mnsu.edu
BriannaWu Here is my new battle cry ...

@BriannaWu Here is my new battle cry for politicians...how did schools get left out of bailout bill??? Computers for Kids over Cash for Cruise ShipsPandemic
Energy and Security Awareness Task Scheduling based on Fuzzy System in Cloud Computing

The increasing popularity of cloud computing environments makes task scheduling as a critical problem and a hot research topic. It is necessary to decrease the energy related costs and enhance the lifespan of high performance computing resources used in cloud data centers. Moreover, the high quality of security service is increasingly critical for security-sensitive applications that work with large-scale data files such as bioinformatics. We propose a new task scheduling algorithm that includes: 1) analyzing task execution time based on the load of data centers; 2) modeling the resource utilization; 3) calculating security cost based on the failure probabilities; 4) evaluating power consumption based on the linear model; and 5) analyzing the closeness centrality of data centers to improve data retrieval time. Finally, it designs a fuzzy inference system with five inputs (i.e., total execution cost, resource utilization cost, security cost, energy consumption, and centrality) in order to assign a merit value to each data center for task execution. Cloud is a dynamic environment and there is not accurate information at every moment. Therefore, fuzzy inference is a good choice for predicting the behavior of the system and scheduling decisions. The simulation results indicate that the proposed algorithm obtains superior performances respectively in waiting time, success rate, energy consumption, and degree of imbalance around 14%, 12%, 15%, 11% on average than other similar methods under high load condition. Consequently, the proposed strategy has potentials to enhance the performance of QoS delivery since it can effectively utilize cloud resources.
DEMYSTIFYING CONCEPTS OF TRANSITION MATRIX AND MATRIX TRANSFORMATION IN A LINEAR ALGEBRA COURSE USING SPREADSHEETS

Concepts of transition matrix and matrix transformation often cause confusion among the students of an introductory linear algebra course. Those two expressions sound similar but have very different meanings and applications. To make things even more challenging, both of these concepts are often simultaneously used in a solution process of some common problems pertaining to linear algebra. To help distinguish between them, the authors propose the use of Microsoft Excel as an instructional tool assisting engineering students in the mastery of these mathematical concepts. An integral component of such a project is the exploration of an interactive spreadsheet. To grasp the concept of transition matrix, students are invited to select from a list of preprogramed bases presented in a form of a dropdown menu. The effect of the action of a transition matrix will be illustrated in a form of changing coordinates for a given input point. Moreover, a choice of classic matrix transformations will be offered from a list presented in a form of a dropdown menu. Students can then visualize the impact of the action of a chosen matrix transformation on an input vector and witness its transformation on a graph. Further, students could also create their own transition matrix or matrix transformation by providing expressions of their own choice. Authors hence propose an effective use of Excel to help students gain an insight into the behavior of and difference between a transition matrix and a matrix transformation. This approach promotes students’ interest in and mastery of these important mathematical concepts and further improves students’ mathematical skills.
A Review—A Gift that Counts: Charity Automation

Abstract We all like to go to shopping department shops and buy the first-class satisfactory branded clothes for ourselves; devour scrumptious food at the fine restaurants and stay an expensive life inside one’s personal difficult earned home. The three words are mere words and none of us might reflect on consideration on them in our busy day-to-day agenda. For us, food is to devour, garb is to wear and shelter is to live-as primary as that. We simply take them with no consideration, because they may be available to us without plenty attempt. However think about people who crave for it, folks that sleep outside at the footpaths under harsh situations of extreme warmth/biting bloodless, small kids who die of starvation and families who cannot come up with the money for a roof above their head. That is what ‘basic wishes’ which includes food and apparel is ready. These are the matters that everybody in life works hard to find the money for or deserve. Notwithstanding being one of the quickest-growing economies in the international, a large percentage of Indians nevertheless live in destitution. Authorities and constrained charity groups are seeking to help them. Inside the country of Saudi Arabia and some Canadian towns few charity groups located few donation containers across the city to acquire donations on donor’s ease, however it has grown to be tough for them to display them regularly. Which affect the donation situation. Involving the Internet of Things (IoT) will deliver the donors' comfort and rapid way to communicate with charity, which will make the dona­tion method green, easier and in well-prepared as well. This paper gives a clever solution that is based totally on advanced technologies namely; 'a Gift That Counts: Charity Automation'. Keywords: Internet of Things, non-governmental organization, smart donation field, secondary materials and recycled textiles, administrator Cite this Article Devyani D. Jadhav, Sarita V. Verma. A Review: A Gift That Counts: Charity Automation. Journal of Electronic Design Technology . 2019; 10(3): 1–7p.
TRANSACTION LOG ANALYSIS OF OPAC SEARCHES IN AN ACADEMIC LIBRARY: BASIS FOR OPAC INTERFACE IMPROVEMENT

This study aims to look at search patterns in the OPAC and determine the reasons for failure rates. With this study, interface design problems icould be addressed and the users' search behavior could be analyzed. Transaction log analysis (TLA) was used to examine search queries extracted from the system. Transaction logs are interactions registered electronically between online systems of information retrieval and the persons who search for information contained in the system. For this study, logs refer to the author, title, call number, keyword (Boolean), and subject queries submitted to the library’s OPAC. Errors were identified and coded to determine reasons of failure rates. Search patterns were also analyzed by examining the search strings submitted to the system. Simulated searching was also performed (as deemed necessary) to dig further into the reasons why some queries resulted to zero retrievals. For this study, the data used was limited to logs collected for a period of 35 days as this is the maximum extent of logs the system can keep/store. A total of 244,456 search logs submitted to the system. Results showed that users are oblivious of search limiters and that their manner of searching for items in the OPAC is the same as how they would usually conduct their searches using the Google search box; and presumably expect that the OPAC will return results similar to that of Google.