Miracle-dz/UniFAR-FTUs huggingface dataset:
Privacy Preservation of Big Data Using Hadoop

In Big data applications data collection has grown continuously, due to this it becomes expensive to manage, capture or extract and process data using existing software tools. Performing data analysis is becoming expensive with increasing large volume of data in data warehouse. Data privacy is one of the challenges in data mining with big data. To preserved the privacy of the user we need to use some method so that data privacy is preserve and at the same time increase the data utility. In existing centralized algorithms it assumes that the all data should be at centralized location for anonymization which is not possible for large scale dataset. And there was distributed algorithms which mainly focus on privacy preservation of large dataset rather than the scalability issue. In the proposed system we focus to maintain the privacy for distributed data, and also overcome the problems of M-privacy and secrecy approach with new anonymization and slicing technique. Our main goal is to publish an anonymized view of integrated data, which will be prevents the vulnerable attacks. We use MR-Cube approach which addresses the challenges of large scale cube computation with holistic measure. Slicing contains tuple partition, vertical and horizontal partition, generalization, slicing and anonymization. At the slicing is successful then anonymized data can easily access by user effectively.
Formation and Reformation of the Frame as the Platform of a Public Private Partnership : A Case Study of the Project for Community Empowerment after the Great Hanshin-Awaji Earthquake of 1995

The purpose of our research is to illustrate a qualitative change in a Public Private Partnership (PPP) (Skelcher, 2005, p. 347) for disaster recovery with use of frame analysis (Snow, et al., 1986; Snow & Benford, 1988) that developed from the field of social movement theory, through a longitudinal case study. In this research we placed our focus on the frames underlying the PPP in question, which was launched in order to facilitate the recovery of areas devastated by the Great Hanshin Earthquake of 1995. We employed a sociological approach such as discourse analysis as a method to analyze this process, and put more emphasis on the cognitive aspects of key actors engaged in implementing the PPP. The interviews with key actors were conducted in order to collect qualitative data. Based on this, we attempted to elucidate 1) who projected a frame for disaster recovery to whom, 2) how this frame was accepted and how it reflected on both public policy and the PPP implementing this public policy for disaster recovery, and 3) how both public policy and the PPP were institutionalized, and co-evolved with organizations undertaking the PPP while the frame was achieving legitimacy. Finally, we attempted to illustrate a qualitative change in the PPP by revealing how a new frame rose and became the predominant one.
UrbanEye: An outdoor localization system for public transport

Public transport in suburban cities (covers 80% of the urban landscape) of developing regions suffer from the lack of information in Google Transit, unpredictable travel times, chaotic schedules, absence of information board inside the vehicle. Consequently, passengers suffer from lack of information about the exact location where the bus is at present as well as the estimated time to be taken to reach the desired destination. We find that off-the-shelf deployment of existing (non-GPS) localization schemes exhibit high error due to sparsity of stable and structured outdoor landmarks (anchor points). Through rigorous experiments conducted over a month however, we realize that there are a certain class of volatile landmarks which may be useful in developing efficient localization scheme. Consequently, in this paper, we design a novel generalized energy-efficient outdoor localization scheme - UrbanEye, which efficiently combines the volatile and non-volatile landmarks using a specialized data structure, the probabilistic timed automata. UrbanEye uses speed-breakers, turns and stops as landmarks, estimates the travel time with a mean accuracy of ±2.5 mins and produces a mean localization accuracy of 50 m. Results from several runs taken in two cities, Durgapur and Kharagpur, reveal that UrbanEye provides more than 50% better localization accuracy compared to the existing system Dejavu [1], and consumes significantly less energy.
Is a Culture of Participation Possible for Serious Games in the Health Domain?

Culture of participation (CoP) shows its utility in the video games creation field in term of both, efficiency of production, and acceptance and retention of gamers. The authors consider the particular case of video game for health. This field involves the inclusion of various roles such as patients, game designers and health professionals to create a complex product which takes into account not only the health aspects but also video games playful mechanisms. For this reason the authors suggest that researches should be done to create a holistic participatory design approach and promote a culture of participation for games for health.
Explaining the EURO's Initial Decline

This paper argues that the inception of the euro itself, with its restrictive monetarist institutional structures, to an area which is in a divergent state, which has recently been widened by a process of divergence, is ample reason for long term investors, and, indeed, post-"euphoric", short term speculators, to regard the euro area as structurally weaker since January 1999. It is difficult to predict the fixture course of the euro; once portfolio investors have shifted fully back to their pre-"euphoria" level of holdings of euros, then any number of contingencies may come into play.
Measuring multiple components of emotions in interactive contexts

The study of users' emotional behavior in HCI has been receiving increasing attention for the last few years. This paper focuses on emotions as an important part of a user's overall experience when interacting with a system. Based on the multi-component approach to emotions proposed by Scherer [15], different aspects of emotions in an interactive context were investigated: subjective feelings, physiological activation, motor expression, cognitive appraisals, and behavioral tendencies. To induce different emotional states, two versions of an interactive system were employed which differed with respect to quality of use. The results suggest that systems of high usability lead to more positive emotions than systems with usability flaws. Differences were detected for a number of emotional components by using a variety of methods: rating scales for subjective feelings, EMG for facial muscles, heart rate, EDA, performance data and questionnaires on cognitive appraisals. We suggest that this combination provides a comprehensive basis for analyzing emotions in HCI.
3D printed miniaturized quadrifilar helix antenna

This paper presents the design of a 3D printed quadrifilar helix antenna. The antenna is miniaturized by loading the tip of each helix by metallic circles of equal dimensions. The effect of decreasing the resonant frequency is also achieved by introducing a dielectric material within the antenna's physical structure. A prototype is fabricated and tested to prove the proposed technique. A good agreement is obtained between the theoretical and measured results.
Diacylglycerol Kinases in the Coordination of Synaptic Plasticity

Synaptic plasticity is activity-dependent modification of the efficacy of synaptic transmission. Although, detailed mechanisms underlying synaptic plasticity are diverse and vary at different types of synapses, diacylglycerol (DAG)-associated signaling has been considered as an important regulator of many forms of synaptic plasticity, including long-term potentiation (LTP) and long-term depression (LTD). Recent evidences indicate that DAG kinases (DGKs), which phosphorylate DAG to phosphatidic acid to terminate DAG signaling, are important regulators of LTP and LTD, as supported by the results from mice lacking specific DGK isoforms. This review will summarize these studies and discuss how specific DGK isoforms distinctly regulate different forms of synaptic plasticity at pre- and postsynaptic sites. In addition, we propose a general role of DGKs as coordinators of synaptic plasticity that make local synaptic environments more permissive for synaptic plasticity by regulating DAG concentration and interacting with other synaptic proteins.
Scott Kelso ’ s Contributions to Our Understanding of Coordination

”Does old Scotty still make a living from finger wagging? ” A question asked by an Irish man who had known Scott Kelso since both were children. The answer: ”Yes, and doing quite well, actually” triggered the much tougher question: ”What can be studied there for half a life span? ” Such was not possible to respond in detail as we were at the airport in Miami and had to catch our flights. But the question remains, in more scientific terms: why do we study coordination dynamics? Why are not only psychologists and kinesiologists but also theoretical physicists interested in finger wagging? Theorists appreciate laws and first principles, the more fundamental, the better. Coordination dynamics provides such laws. They are the basic laws for a quantitative description of phenomena that are observed when humans interact in a certain way with themselves, with other humans and with their environment.
A Competition between Stimulators and Antagonists of Upf Complex Recruitment Governs Human Nonsense-Mediated mRNA Decay

The nonsense-mediated decay (NMD) pathway subjects mRNAs with premature termination codons (PTCs) to rapid decay. The conserved Upf1–3 complex interacts with the eukaryotic translation release factors, eRF3 and eRF1, and triggers NMD when translation termination takes place at a PTC. Contrasting models postulate central roles in PTC-recognition for the exon junction complex in mammals versus the cytoplasmic poly(A)-binding protein (PABP) in other eukaryotes. Here we present evidence for a unified model for NMD, in which PTC recognition in human cells is mediated by a competition between 3′ UTR–associated factors that stimulate or antagonize recruitment of the Upf complex to the terminating ribosome. We identify cytoplasmic PABP as a human NMD antagonizing factor, which inhibits the interaction between eRF3 and Upf1 in vitro and prevents NMD in cells when positioned in proximity to the termination codon. Surprisingly, only when an extended 3′ UTR places cytoplasmic PABP distally to the termination codon does a downstream exon junction complex enhance NMD, likely through increasing the affinity of Upf proteins for the 3′ UTR. Interestingly, while an artificial 3′ UTR of >420 nucleotides triggers NMD, a large subset of human mRNAs contain longer 3′ UTRs but evade NMD. We speculate that these have evolved to concentrate NMD-inhibiting factors, such as PABP, in spatial proximity of the termination codon.
TRUST BASED NODE REPLICATION ATTACK DETECTION PROTOCOL FOR WIRELESS SENSOR NETWORKS

The harmful attack against Wireless Sensor Networks (WSN) is Node Replication attack, where one or more node(s) illegitimately claims an identity, are also called clone attack due to identity theft. The Node replication attack can be exceedingly injurious to many important functions of the sensor network such as routing, resource allocation, misbehavior detection, This study proposes a method Randomized and Trust based witness finding strategy for replication attack detection mechanisms in wireless sensor networks (RTRADP) with trust factor. Resilient to malicious witness and increased detection rate by avoiding malicious witness selection. Performances are compared with the existing witness finding approach and how the malicious witness drops the claim without processing and how those malicious witnesses are avoided with trust based approach.
MULTIPLE FAULT TOLERANCE IN MPLS NETWORK USING OPEN SOURCE NETWORK SIMULATOR

Multiprotocol Label Switching (MPLS) is a label based switching technique initiated by Internet Engineering Task Force to bring the speed of layer 2 switching to layer 3. Its label based switching technique allows routers to make the forwarding decision based on the contents of label instead of performing a complex route lookup table. Furthermore it allows explicit routing to overcome links and nodes failure in the network. For fault recovery multiprotocol label switching has two domains called Protection Switching and Rerouting. Explicit routing, in it the alternative paths are pre-established through MPLS core router (ingress node). We developed new protocol using explicit routing for multiple fault tolerance in the network. We simulate it in an open source network simulator ns2 and compare it with rerouting fault recovery protocol in NS that belongs to rerouting domain. The simulation shows that the proposed protection switching fault recovery protocol performed better in fault recovery time as compare to rerouting fault recovery protocol.
Development of the Portugese Economy: A Case of Europeanization

This book reveals how the previously weak Portuguese economy has now experienced growth, convergence, structural change and international competition. David Corkhill analyses the Europeanization of the Portuguese economy in the context of closer European integration, globalization and the struggle to achieve international competitiveness. It also assesses the pitfalls Portugal may face as part of Europe.
The Quantity of Money and Monetary Policy

The relationships among the quantity theory of money, monetarism and policy regimes based on money-growth and inflation targeting are briefly discussed as a prelude to an exposition of alternative views of money’s role in the transmission mechanism of monetary policy. The passive-money view treats the money supply as an endogenous variable that plays no role in that mechanism. In contrast the active-money view, while recognizing money’s endogeneity, nevertheless treats it as having causative significance for the behaviour of output and inflation. It is argued that the active view is more plausible, on both theoretical and empirical grounds. It is further suggested that, notwithstanding the effects of institutional change in the Canadian financial system on the stability of relationships involving the quantity of money, the active view implies the desirability of the Bank of Canada’s paying more systematic attention than it now does to the behaviour of monetary aggregates, particularly narrow ones, in the design and implementation of monetary policy.
A Novel Multi-Passive-Sensor Target Tracking Algorithm Based On Gaussian Filter

This paper presents a new multi-passive-sensor target tracking algorithm which yields a nonlinear state estimator called Gaussian filter based on deterministic sampling. Firstly, this state estimator employs a deterministic sample selection scheme, where a parametric density function representation of the sample points is employed to approximate the cumulative distribution function of the prior Gaussian density. The performance of the filter is more accurate than the extended Kalman Filter (EKF) and the unscented Kalman Filter (UKF) in nonlinear dynamic system. Secondly, in order to avoid the unobservability problem of passive target tracking, a nonlinear measurement model of multiple passive sensors is founded. Finally, the algorithm performance has been verified by illustrating some simulation results. Index Terms—Gaussian Filter, Target Tracking, Multi- Passive-Sensor
Impact of a pharmacist-facilitated hospital discharge program: a quasi-experimental study.

BACKGROUND Medication discrepancies are common at hospital discharge and can result in adverse events, hospital readmissions, and emergency department visits. Our objectives were to characterize medication discrepancies at hospital discharge and test the effects of a pharmacist intervention on health care utilization following discharge. METHODS We used a prospective, alternating month quasi-experimental design to compare outcomes of patients receiving the intervention (n = 358) with controls (n = 366). All patients were discharged to home and were at high risk for medication-related problems following discharge because of the number or types of medications they were prescribed, multiple medication changes during hospitalization, or problems managing medications. The intervention consisted of medication therapy assessment, medication reconciliation, screening for adherence concerns, patient counseling and education, and postdischarge telephone follow-up. The primary outcomes were 14-day and 30-day readmission rates and emergency department visits within 72 hours of discharge. Medication discrepancies occurring at discharge were also characterized. RESULTS Medication discrepancies at discharge were identified in 33.5% of intervention patients and 59.6% of control patients (P < .001). Although all discrepancies were resolved in the intervention group prior to discharge, readmission rates did not differ significantly between groups at 14 days (12.6% vs 11.5%; P = .65) and 30 days (22.1% vs 18%; P = .17), nor did emergency department visits (2.8% vs 2.2%, respectively; P = .60). CONCLUSION While our intervention improved the quality of patient discharge by identifying and reconciling medication discrepancies at discharge, there was no effect on postdischarge health care resource utilization.
Screen Interface Design for Mobile-assisted Language Learning in EFL Context: A Case Study in Japan

Mobile Technology is constantly evolving and offering new capabilities for supporting higher data transmission, storage, and multimedia formats that can be beneficial for Language Acquisition. Mobile Assisted Language Learning (MALL) publications have been reviewed for two main perspectives: The Content -based approach and the Design- issues approach. This study focuses on understanding these approaches and identifying their main challenges specific to MALL activities. Mobile-based e-learning applications and learning possibilities are tied to the physical attributes of the device, graphical user interface, and the cost of services, collaboration tools, Internet access, and computation capabilities. This article reports extensively on the results of a focus group-oriented study undertaken using an IPod- based English learning application for five advanced (graduate) EFL (English as foreign language)-based students in a Japanese technical university. Results from this pilot analysis were reported towards exploring the design of the IPod interface and how it contributes towards mobile assisted language learning. Results indicate that students are mostly comfortable using handheld devices and completed tasks with reasonable success and efficiency. However, they faltered with few steps mainly due to complexity of the screen interface (lack of on-screen guidance), transition within and between steps, and unresponsive system. The qualitative analysis focused mostly on the design of the graphical user interface, its delivery methods, and user preference and information access patterns. Several recommendations are made for both the design of the interface and how content should be structured.
Leveraging skewed transcript abundance by RNA-Seq to increase the genomic depth of the tree of life

Assembling the tree of life is a major goal of biology, but progress has been hindered by the difficulty and expense of obtaining the orthologous DNA required for accurate and fully resolved phylogenies. Next-generation DNA sequencing technologies promise to accelerate progress, but sequencing the genomes of hundreds of thousands of eukaryotic species remains impractical. Eukaryotic transcriptomes, which are smaller than genomes and biased toward highly expressed genes that tend to be conserved, could potentially provide a rich set of phylogenetic characters. We sampled the transcriptomes of 10 mosquito species by assembling 36-bp sequence reads into phylogenomic data matrices containing hundreds of thousands of orthologous nucleotides from hundreds of genes. Analysis of these data matrices yielded robust phylogenetic inferences, even with data matrices constructed from surprisingly few sequence reads. This approach is more efficient, data-rich, and economical than traditional PCR-based and EST-based methods and provides a scalable strategy for generating phylogenomic data matrices to infer the branches and twigs of the tree of life.
Strong next-time operators for multiple-valued mu-calculus

Multiple-valued logics [2] provide an interesting alternative to classical boolean logic for modeling and reasoning about systems. By allowing additional truth values, they support the explicit modeling of uncertainty and disagreement. In order to do temporal reasoning over multiple-valued systems, we must extend a classical temporal logic to the multiple-valued case. For instance, the branchingtime temporal logic CTL is a fragment of the modal calculus [5]: it has conjunction, disjunction, negation, two next-time operators, weak (EX) and strong (AX) [4], and several additional temporal operators described as least or greatest fixpoints. For example, the property , “eventually may become true”, is the least fixpoint:
IT Consumerization and its Effects on IT Business Value, IT Capabilities, and the IT Function

IT consumerization is both a major opportunity and significant challenge for organizations. However, IS research has hardly discussed the implications for IT management so far. In this paper we address this topic by empirically identifying organizational themes for IT consumerization and conceptually exploring the direct and indirect effects on the business value of IT, IT capabilities, and the IT function. More specifically, based on two case studies, we identify eight organizational themes: consumer IT strategy, policy development and responsibilities, consideration of private life of employees, user involvement into IT-related processes, individualization, updated IT infrastructure, end user support, and data and system security. The contributions of this paper are: (1) the identification of organizational themes for IT consumerization; (2) the proposed effects on the business value of IT, IT capabilities and the IT function, and; (3) combining empirical insights into IT consumerization with managerial theories in the IS discipline.
Further Tests of Abortion and Crime

The inverse relationship between abortion and crime has spurred new research and much controversy. If the relationship is causal, then polices that increased abortion have generated enormous external benefits from reduced crime. In previous papers, I argued that evidence for a casual relationship is weak and incomplete. In this paper, I conduct a number of new analyses intended to address criticisms of my earlier work. First, I examine closely the effects of changes in abortion rates between 1971 and 1974. Changes in abortion rates during this period were dramatic, varied widely by state, had a demonstrable effect on fertility, and were more plausibly exogenous than changes in the late 1970s and early 1980s. If abortion reduced crime, crime should have fallen sharply as these post-legalization cohorts reached their late teens and early 20s, the peak ages of criminal involvement. It did not. Second, I conduct separate estimates for whites and blacks because the effect of legalized abortion on crime should have been much larger for blacks than whites, since the effect of legalization of abortion on the fertility rates of blacks was much larger. There was little race difference in the reduction in crime. Finally, I compare changes in homicide rates before and after legalization of abortion, within states, by single year of age. The analysis of older adults is compelling because they were largely unaffected by the crack-cocaine epidemic, which was a potentially important confounding factor in earlier estimates. These analyses provide little evidence that legalized abortion reduced crime.