Miracle-dz/UniFAR-FTUs huggingface dataset:
Analisis Korelasi Pada Data Yahoo! Properties dan Instant Messaging dengan Menggunakan Hadoop

In the past few years, Big Data has been a trend in the world of Information Technology. Alongside the growth of organizations, the bigger the data that is owned, some can reach the scale of Terabytes to Pentabytes. When an organization wants to do an analysis of a Big Data it takes time due to limited CPU and memory. To overcome this, there is a paradigm which is called distributed computing. There are many tools that aim to cultivate Big Data such as Apache Hadoop, Apache Spark, and etc. However, the tool that is going to be analyzed is the Apache Hadoop. The adoption rate of Big Data in Indonesia is 20% for 2 to 3 years into the future [1]. Seeing these facts, more and more companies are planning to adopt Big Data to analyze their data. Due to the increasing use of Big Data and Apache Hadoop, it is conducted an exploratory analysis of data correlation on Apache Hadoop. In addition, testing was also done using the Apache Hadoop with varying number of nodes, mappers and reducers, and number of different block sizes [10]. Exploratory analysis of data correlation on Apache Hadoop is done by making four types of data analysis applications, namely two applications correlation values for the data search Yahoo! Messenger and two applications for creating classification trees. Based on test results obtained that the R application is more suitable for smaller data size while Hadoop is more suitable for large data size. For large data, application R uses higher percentage of CPU and memory than Hadoop. The combination of mapper and reducer that will provide the most optimal execution time is for mapper in the range of 2/3 of the total CPU cores, while the reducer is 1/3 of the total CPU cores.
AN ABSTRACT OF THE THESIS OF

Software testing is the process of evaluating the accuracy and performance of software, and automated software testing allows programmers to develop software more efficiently by decreasing testing costs. We compared two advanced random test generators, a Feedback-Directed Random Test Generator (FDR) and a Feedback-Controlled Random Test Generator (FCR), for an automated software testing tool in Python 2.x, the Template Scripting Testing Language (TSTL)
Docbase: a database environment for structured documents

Standard Generalized Markup Language (SGML) has been widely accepted as a standard for document representation. The strength of SGML lies in the fact that it embeds logical structural information in documents while preserving a human-readable form. This structural information in SGML documents allows processing of these documents using database techniques. SGML facilitates this goal by providing a conceptual modeling tool for collections of documents using a document type de nition (DTD) and by allowing query processing beyond the classic keyword-based searches of traditional IR systems. We use these observations about SGML as the design principles for developing and implementing a structured document database system. The key di erence of our approach from other similar approaches is that the design and implementation remain entirely within the context of the SGML framework. We achieve this by using SGML as the modeling tool of the database instances, by generating SGML documents as outputs of the queries, and also by using SGML for expressing queries. DocBase is a prototype research system that implements most of the querying features of a document database. We use SGML as the model for structured document databases, with the database schema represented using a DTD and SGML documents as instances of this schema. We propose an extended form of relational calculus and equivalent SQL-like and visual query languages for posing queries. DocBase implements an infrastructure for processing these queries by leaving the documents intact, and using special index structures and access methods over these structures. Recognizing the importance of users in the design of systems for document retrieval, we propose a visual query formulation method that uses the principle of vii familiarity to make the querying process easier and more satisfying for users. We show that even at the simplest level, this method is no less e cient or accurate than the traditional form-based query formulation, but is signi cantly more satisfying. Chair: Dirk Van Gucht, Associate Professor, Computer Science Department viii
How Much Is Behavioral Advice Worth?

Behavioral finance is a powerful tool when used effectively by investors and financial advisers. Although this usefulness is generally accepted in theory, the practical value of behavioral advice to investors has not been quantified to a large degree. The article provides a quantitative analysis of behavioral mistakes using a fictional case study of a private family that is making two key behavioral mistakes: loss aversion and mental accounting. First, these biases are explained, with examples. Next, the case study illustrates and quantifies investment losses due to behavioral mistakes. The key conclusion of the case study is that making behavioral mistakes causes investors to forgo returns, and this loss of return can be significant. However, if advisers and investors can recognize and correct behavioral mistakes, recouping or avoiding these gains is possible; these losses are not necessary. In sum, the value of behavioral advice is significant. TOPICS: Wealth management, long-term/retirement investing
Industrial Design and the User Interface

I think we all see a lot of this kind of thing. I won’t mention the video recorder, but I cannot even switch my tuner to medium wave. Every time I climb into a hire car it takes me 10 minutes to work out the stereo, and I need the user manual to record a message on my answering machine. As a user I find all this frustrating; as a designer I ask is it really our fault? It’s not as if the methodology or the tools to design effective user-interfaces really exists, is it?
Predicting Directional Changes in Interest Rates: Gains from Using Information from Monetary Indicators

Predicting the likely change to interest rates is not straightforward. Rates can remain unchanged for long periods and new information does not necessarily result in immediate changes. This paper offers a method for predicting rates using a limited dependent variable approach to reflect the decision process. We take three recent theoretical models to consider how regular information on inflation and output gaps might be augmented with monetary information. Our results show that prediction of rate changes improves substantially with the use of supplementary monetary indicators.
Eleventh graders’ learning experiences through a whatsapp group in EFL.

In this twenty first century, it is known that technological advances have been having a notable influence in teenagers’ lifestyle. Actually, researchers have identified a situation in Moderno Engativá School, a private school in Bogota where eleventh graders use their cell phones interacting with social networks and applications throughout their classes. Consequently, instead of avoiding the use of these devices and apps, researchers decided to take advantage of these technological resources and use them as a support for the English class in order to promote different learning experiences and in this way analyzing them. Therefore, the objective of this research project was to analyze students’ learning experiences during the participation in a WhatsApp group in EFL. This qualitative study was an Action Research which generates a cycle on the situation identified. The pedagogical implementation was divided in six activities which involved the four language skills –speaking, writing, listening and readingusing that application in order to provide participants with a learning experience in which they could share and interact with their classmates. Lastly, the instruments chosen to collect data were a focus group implemented at the beginning, journals after each session during the implementation, and finally a questionnaire in which participants expressed the most significant experiences for them in a general way about all the activities developed in the WhatsApp group.
Actor social networks as knowledge sharing mechanisms in multi-stakeholder processes: a case of coffee innovation platforms of Uganda

ABSTRACT Purpose: This study examined knowledge sharing mechanisms in coffee IPs and their effect on actor linkages in four districts of Uganda. Design/methodology/approach: Thirty one respondents from the public and private sector were interviewed using a qualitative approach. Data were analyzed using the Atlas ti qualitative software version 7.5. 18 to generate themes for information sources, types and channels. Social network analysis was used to measure the actor centrality positions and influence in the IP network. Findings: Results revealed seven main categories of actors in the Coffee IPs who shared information on coffee inputs, agronomic practices, processing and markets through three main channels. Level of cohesion was less than 10% which had negative implications on the knowledge flow, trust and collaboration among the actors. Influential positions were occupied by the processors and farmer leaders in IPs in the southern districts of Luwero and Rakai, while nursery operators were most influential in IPs of the western districts of Ntungamo and Bushenyi. Weak linkages within the social networks indicated that initiatives of the actors were fragmented, as each actor acted as an individual detached from the platform activities limiting inter-actor knowledge sharing. Practical implications: Innovation intermediaries should focus on integrated systemic and innovative approaches to strengthen actor social linkages for knowledge sharing and better platform performance. Theoretical implications: Actor positions and relationships in innovation networks are critical tenets for fostering knowledge exchange and performance. In an innovation platform, diverse actors are multiple sources for accessing information within a given social and institutional context. Originality/value: The study contributes to existing debate and knowledge on institutional change in agricultural innovation systems.
Living Labs for Innovation and Development of Information and Communication Technology: A Literature Review

Living Labs are environments for involving users in innovation and development, and are regarded as a way of meeting the innovation challenges faced by information and communication technology (ICT) service providers. Living Labs have thus generated a great deal of interest in the field of ICT in the course of the last few years. However, the current body of Living Lab research literature indicates a lack of common understanding of how Living Labs can be used for ICT innovation and development. Moreover, there appears to be little agreement regarding needed future research. In order to establish a basis for future work on Living Labs, a review of the Living Lab literature related to ICT innovation and development has been carried out. Literature searches were made in four academic archives, as well as the ISI Web of Knowledge, Google and Google Scholar. Thirty-two relevant academic papers were retrieved. An overview of the literature was established and the literature was analyzed with regard to (1) common and diverging perspectives on Living Labs, (2) the state-of-the-art of Living Lab processes and methods, and (3) theoretical foundations of Living Labs. On the basis of the analyses, a common Living Lab definition is suggested. Two emerging Living Lab trends, as well as a pressing need for future research on Living Lab processes and methods, are introduced and discussed. Living Labs
Securing Decentralized Software Installation and Updates

Software installation and updates have become simpler for end users in recent years. The commoditization of the internet has enabled users to obtain more software than ever before from more developers than ever before. Additionally, software installation now requires less input from users, allowing installation with merely a single click or tap. At the same time, different software installation models with varying levels of security, usability and freedom have emerged. In centralized environments, available software is limited by an authority, whereas decentralized environments allow users and developers to interact freely. Decentralized software installation ecosystems pose the most significant security challenges due to the lack of centralized control. In this thesis we identify, through systematic evaluation of prominent systems, limitations in the way operating systems provide security guarantees (including verification of integrity, authentication, and establishment of trust) in decentralized software installation environments. We address these limitations by designing tools and protocols that help secure software installation and updates at each of the three installation stages (software discovery, initial install and updates, and enforcing security policies). Specifically, we propose a cryptographically verifiable protocol for developers to delegate digital signature privileges to other certificates (possibly owned by other developers) without requiring a centrally trusted public key infrastructure. Our proposal allows trust to be delegated during software updates without user involvement. We also propose a flexible policy for developers to authenticate and share privileges amongst applications being executed simultaneously on a device. We evaluate these proposals and show that they are direct improvements over currently deployed real-world systems. We discuss the design and implementation of an install-time architecture allowing users to query crowdsourced expert information sources to gain trust in software they are about to install. We motivate the requirements for such a system, designed to mirror the security semantics of centralized environments. The proposed protocols and tools have been implemented as proofs-of-concept using Google's Android mobile operating system. We leverage a large application dataset to inform our design decisions and demonstrate backward compatibility with existing applications. While the implementations are specific to Android, we discuss how our general proposals extend to other decentralized environments.
Riesgos ambientales de la nanotecnología: nanopartículas y nanoestructuras

La nanotecnología, que manipula la materia a la milmillonésima de metro, es asumida como uno de los frentes tecnológicos del siglo XXI de mayores expectativas e implicaciones. Por el momento, el grueso de avances se centran en el desarrollo de novedosos nanomateriales para uso diverso. Las propiedades únicas de las nanopartículas y nanoestructuras que los componen sugieren potenciales implicaciones ambientales y sobre la vida debido a lo incierto de sus interacciones y efectos. Cómo se está asumiendo, evaluando, confrontando y distribuyendo el riesgo ambiental de la nanotecnología son aspectos objeto de esta reflexión.
Testing Smart Crowds for the Economy

Conventional forecasts of macroeconomic indicators by financial institutions are typically less dynamic than the monthly or quarterly forecasts of performance variables in firms. The latest financial crisis underlined the need for monitoring and forecasting household credits, debts and savings and unemployment as these indicators are essential for avoiding an economic recession (Estrella and Mishkin, 1998). Hence, there is a justification to develop new and innovative prediction methods for reducing uncertainties about fluctuations in credits, debts and savings of households, as gauging these variables more precisely enables to provide a more accurate estimation of GDP (Zabai, 2017).
Application of ZigBee Technology in ITS

As a representative technology of short-distance wireless communication and for its advantages of low cost and low power consumption,ZigBee technology is widely applied in the traffic system.This paper treats of the intelligent traffic system,describes ZigBee technology and its typical application scenarios,and depicts an application example of ZigBee technology in the bus operation monitoring system.This monitoring system gives full expression to the respective characteristics of ZigBee and GSM/GPRS network technologies.Meanwhile,the system structure and its composition are also discussed in this paper.This scheme is low in power consumption,flexible and expansibile in construction,and convenient in networking.
Generic drugs, a need to the public: USA and India – Government plans to reduce the price of abbreviated new drug application and list of generic drugs approved in year 2018

Health is the prime component for every person, and in the world, there are different traditions that have their own approaches to treat and cure illness. The dosage form of the drug may appear different but medically, however, a generic medicament has the same mechanism in the body as that of the costlier brand-name drugs. They acquire the equal active ingredient an have the identical quality asd must pass the same satisfactory standards with respect to manufacturing and packaging of medicaments. The generic medicinal drug beneath the regulation of U.S. Food and Drug Administration must have the equal quality and performance as that of the brand-name drugs. The Food and Drug Administration states: ‘Generics have the identical quality as brand identify drugs’. When a generic drug product is approved, it has met rigorous standards established via the Food and Drug Administration with respect to identity, strength, quality, purity and potency. India started Jan Aushadhi scheme to make quality medicines handy to the shoppers at affordable prices. Given the socio-economic conditions and the level of ignorance and illiteracy with vast disparities of income in the country, the advantage of the scheme can be taken by the consumers or should reach the consumers particularly the poor and the needy, only when a proper multimedia publicity programmed is mounted to educate the consumers of all strata of society. India is still a developing country where quality and inexpensive remedy are still major issues.
Cooperative learning third grade mathematics activities for LEP students

iii Acknowledgments. ^. iv Dedication. v Introduction. 1 Literature Review. 7 Goals and Objectives. 23 Procedures. 24 Results. 28 Implications for Education. 31 References. 34 Appendix A. 40 Appendix B. 44 Appendix C 133
Re-identificación de personas utilizando únicamente información de profundidad

La re-identificacion de personas, entendida como el reconocimiento de un individuo observado previamente por otro sensor, es un campo que ha adquirido gran importancia en los ultimos anos debido a sus aplicaciones relacionadas con la videovigilancia, el control de aforos y el seguimiento de personas en entornos determinados. En este contexto, se propone un sistema que permite la re-identificacion de personas a partir de imagenes de profundidad obtenidas por una red de sensores de tiempo de vuelo (ToF) ubicados en posicion cenital. La informacion proporcionada por esos sensores permite obtener las caracteristicas necesarias para re-identificar a la persona preservando su privacidad al no ser posible reconocer la identidad de los usuarios. El sistema desarrollado incluye una etapa de deteccion de personas, seguido de un proceso de extraccion de caracteristicas y atributos fisicos que permiten diferenciar a un individuo de los demas mediante un proceso de clasificacion, independientemente de la posicion en la escena en la que se encuentre. La clasificacion se realiza utilizando la tecnica de analisis de las componentes principales (PCA), que permite reducir la dimensionalidad de los datos obtenidos y crear una clase diferente para cada nueva persona a re-identificar, la cual es almacenada posteriormente en el sistema. Para la evaluacion de la propuesta se han realizado pruebas experimentales empleando la base de datos GOTPD1 desarrollada por los miembros del equipo investigador, que incluye multiples personas, y ha sido adquirida utilizando dos sensores Kinect II en posicion cenital.
Study on the Application of Participatory Teaching Model in the Teaching of Ancient Chinese Literature

The ancient literature is not only an important part of Chinese traditional culture, but also an important element in the curriculum of Chinese students. In view of the fact that college students have a prominent sense of alienation in the study of classical culture at present, this paper studies the reform measures of introducing task-based teaching model into the teaching of ancient literature course. The aim is not only to improve students' ability of feeling, expression and application, but also to improve their knowledge structure, the formation of healthy personality and the cultivation of poetic and picturesque life attitude are of great significance.
Energy-Efficient Acceleration of Asynchronous Programs

Asynchronous or event-driven programming has become the dominant programming model, with it now being used to develop a wide range of systems, including mobile and Web 2.0 applications, Internet-of-Things, and even distributed servers. In this programming model, computation tasks are posted as events to an event-queue, from where they are processed asynchronously. Due to the rich array of asynchronous inputs to the above systems, the asynchronous programming model is a natural fit. Execution characteristics of asynchronous programs significantly differ from synchronous programs as they interleave short events from varied tasks in a fine-grained manner. We observe that, despite their ubiquitous use, these programs perform poorly on conventional processor architectures that are heavily optimized for the characteristics of synchronous programs. The processor industry has embraced heterogeneous multi-processor designs with domainspecific accelerators as an answer to the end of Dennard Scaling. We envision a system where at least some of these cores could be customized to efficiently execute asynchronous or event-driven programs. To this end, this thesis proposes novel processor optimizations for accelerating asynchronous programs. Using Web 2.0 applications as a case in study, we found out that these suffer from very poor cache and branch predictor performance. To alleviate these performance bottlenecks,
Optimization and simulation of improved NTP protocol in asynchronous communication network

In asynchronous and point to point communication network,improved NTP protocol can help us to calculate time difference of both sides.But improved NTP protocol doesn't distinguish natural delay and delay distortion,if the number of packets which both sides of communication equipment have sent is very difference,the instance will grave influence the result of time difference.An optimization design is studied which uses a believable bound for filtering delay distortion packets.In order to test its practicability,a communication model is constructed,then optimization impact is simulated and analyzed.the optimization design can improve the precision of time difference.