Miracle-dz/UniFAR-FTUs huggingface dataset:
Aroma: A New Data Protection Method with Differential Privacy and Accurate Query Answering

We propose a new local data perturbation method called Aroma. We first show that Aroma is sound in its privacy protection. For that, we devise a realistic privacy game, called the exposure test. We prove that the αβ algorithm, a previously proposed method that is most closely related to Aroma, performs poorly under the exposure test and fails to provide sufficient privacy in practice. Moreover, any data protection method that satisfies ε-differential privacy will succeed in the test. By proving that Aroma satisfies ε-differential privacy, we show that Aroma offers strong privacy protection. We then demonstrate the utility of Aroma by proving that its estimator has significantly smaller errors than the previous state-of-the-art algorithms such as αβ, AM, and FRAPP. We carry out a systematic empirical study using real-world data to evaluate Aroma, which shows its clear advantages over previous methods.
Social Security Privatization with Income-Mortality Correlation

While privatizing Social Security can improve labor supply incentives, it can also reduce risk sharing. We simulate a 50-percent privatization using an overlapping-generations model where heterogeneous agents with elastic labor supply face idiosyncratic earnings shocks and longevity uncertainty. When wage shocks are insurable, privatization produces about $30,100 of extra resources for each future household after all transitional losses have been paid. When wages are not insurable, privatization reduces efficiency by about $8,100 per future household. We check the robustness of these results to different model specifications as well as policy reforms and arrive at several surprising conclusions. First, privatization performs better in a closed economy, where interest rates decline with capital accumulation, than in an open economy. Second, privatization also performs better when an actuarially-fair private annuity market does not exist. Third, government matching of private contributions on a progressive basis is not very effective at restoring efficiency and can actually harm.
Is stabilization of switched positive linear systems equivalent to the existence of an Hurwitz convex combination of the system matrices?

In this paper exponential stabilizability of continuous-time positive switched systems is investigated. It is proved that, when dealing with two-dimensional systems, exponential stabilizability can be achieved if and only if there exists an Hurwitz convex combination of the (Metzler) system matrices. However, for systems of higher dimension this is not true. In general, exponential stabilizability corresponds to the existence of a (positively homogeneous, concave and co-positive) control Lyapunov function, but this function is not necessarily smooth. The existence of an Hurwitz convex combination is equivalent to the stronger condition that the system is not only exponentially stable, but it also admits a smooth control Lyapunov function. These two conditions, in turn, are equivalent to the fact that the stabilizing switching law can always be based on a linear co-positive control Lyapunov function. Finally, the characterization of exponential stabilizability is exploited to provide a description of all the “switched equilibrium points” of a positive affine switched system.
The Bicoid Stability Factor Controls Polyadenylation and Expression of Specific Mitochondrial mRNAs in Drosophila melanogaster

The bicoid stability factor (BSF) of Drosophila melanogaster has been reported to be present in the cytoplasm, where it stabilizes the maternally contributed bicoid mRNA and binds mRNAs expressed from early zygotic genes. BSF may also have other roles, as it is ubiquitously expressed and essential for survival of adult flies. We have performed immunofluorescence and cell fractionation analyses and show here that BSF is mainly a mitochondrial protein. We studied two independent RNAi knockdown fly lines and report that reduced BSF protein levels lead to a severe respiratory deficiency and delayed development at the late larvae stage. Ubiquitous knockdown of BSF results in a severe reduction of the polyadenylation tail lengths of specific mitochondrial mRNAs, accompanied by an enrichment of unprocessed polycistronic RNA intermediates. Furthermore, we observed a significant reduction in mRNA steady state levels, despite increased de novo transcription. Surprisingly, mitochondrial de novo translation is increased and abnormal mitochondrial translation products are present in knockdown flies, suggesting that BSF also has a role in coordinating the mitochondrial translation in addition to its role in mRNA maturation and stability. We thus report a novel function of BSF in flies and demonstrate that it has an important intra-mitochondrial role, which is essential for maintaining mtDNA gene expression and oxidative phosphorylation.
Balance and Proximity-Aware Skip Graph Construction

A skip graph is a valuable overlay network for searching for keys in a peer-to-peer application. A problem with the construction algorithm for skip graphs is that it does not consider the proximity of adjacent peers. Because of this, a skip graph often contains links with considerably high communication time. Another problem is that due to the random nature of the algorithm, a skip graph often exhibits structural imbalance. In this paper, we propose a topology reconstruction algorithm to solve these problems. This algorithm, iteratively executed by each node, evaluates both proximity and topological balance and reshapes the overlay topology if necessary. The results of simulations show that the skip graph constructed by our approach achieves shorter search delay than the original skip graph.
Early life experiences as determinants of leadership role occupancy : The importance of parental in fl uence and rule breaking behavior

a r t i c l e i n f o a b s t r a c t The limited behavioral genetics research reported in the leadership literature has not investigated the degree to which early life experiences predict future emergence into leadership roles. This is the first study to focus on parenting style and early life experiences of rule breaking, and their relationships to leadership roles assumed in adulthood, while controlling for genetic and personality contributions. Using a sample of male twins reared together, we found that authoritative parenting practices was negatively related to modest and serious rule breaking, while being positively related to emergence in leadership roles into adulthood. We also found that modest rule breaking behavior positively predicted the number of leadership roles taken on by individuals, while serious rule breaking negatively predicted the number of leadership roles. Implications for future leadership research and practice are discussed. Human behavioral genetics is defined as the attempt to characterize and define the hereditary basis for human behavior. Preliminary leadership research evidence using a behavioral genetics approach suggests that approximately 30% of the variation in leadership style and emergence into leadership roles is accounted for by genetic factors, while the remaining variation is attributed to non-shared environmental influences such as individuals being exposed to different role models and early opportunities for The general observations drawn from these research findings are in line with Plomin and Daniels' (1987, p. 1) conclusion that, " behavioral-genetic research seldom finds evidence that more than half of the variance in complex behavioral traits is due to genetic differences among individuals…most behavioral variability among individuals is environmental in origin. " Consequently, we adopt the position taken by Mumford, Stokes, & Owens (1990) who suggested that, " hereditary and environmental influences often work in tandem " (p. 48). Prior behavioral genetics research has not yet investigated which experiential factors predict who assumes leadership roles, even though there is widespread belief that certain experiences trigger leadership emergence in individuals In this paper, we focus on parenting style and rule breaking behavior exhibited early in life and their relationship to the number of leadership roles/positions occupied into adulthood, not performance within these roles. A focus on leadership roles moves beyond the traditional emphasis on leader traits or leader style, as it takes into consideration the position an individual occupies as opposed to the type of leader they are. …
Influence of Reflected Electrons on Multipactor Prediction for Rectangular Waveguides

utilizing hollow waveguides operating at low gas pressures and high RF power levels is the prevention of the multipactor (MP) breakdown phenomenon. This work makes use of a proposed multipactor prediction algorithm designed with proper consideration for reflected electrons to predict possible multipactor breakdown power levels for rectangular waveguide geometries operating at the TE 10 propagation mode. The results of analysis using the algorithm suggest that it is crucial to account properly for reflection electrons during a multipacting process investigation in order not to overlook subtle breakdown powers.
The Case for ΛCDM

The case is simple: there is no compelling theoretical argument against a cosmological constant and ΛCDM is the only CDM model that is consistent with all present observations. ΛCDM has two noteworthy features: it can be falsified in the near future (the prediction q0 ∼ − 12 is an especially good test), and, if correct, it has important implications for fundamental physics.
KNOWLEDGE SHARING OVER P2P KNOWLEDGE NETWORKS: A PEER ONTOLOGY AND SEMANTIC OVERLAY DRIVEN APPROACH

AbstractEffective knowledge sharing between communities of knowledge workers impacts the productivity, innovation and competitiveness of organizations. The emergence of Peer-to-peer (P2P) technology has provided some solutions to knowledge sharing amongst peers. In this paper we present a sophisticated Agent-based Semantic Knowledge network—ASKnet—that features a unique combination of mobile agents, semantic web and semantic overlay networks to realize an effective knowledge sharing environment. ASKnet enables the sharing of personalized knowledge repositories—typically documents thematically organized by a knowledge worker—of individual knowledge workers with the entire community. The premise here is that if we trust the intellectual ability of the knowledge worker then his/her personalized knowledge repository can be regarded as a source of best-quality, relevant and validated knowledge for that domain/organization.
RBF neural networks for modelling and predictive control: An application to a neutralisation process

This paper describes a Model Predictive Control (MPC) algorithm in which a Radial Basis Function (RBF) neural network is used as a dynamic model of the controlled process and it reports training and selection of the RBF model of the benchmark system for MPC. In order to obtain a computationally uncomplicated control scheme, the RBF model is successively linearised on-line, which leads to an easy to solve quadratic optimisation problem, nonlinear optimisation is not necessary. Efficacy of the MPC algorithm is shown for a neutralisation system, which is a significantly nonlinear dynamic process. It is shown that the described MPC algorithm with on-line model linearisation gives trajectories very similar to those obtained in a truly nonlinear MPC scheme, in which the full nonlinear RBF model is used for prediction.
The Impact of Formal Controls and Relational Governance on Trust in Crowdsourcing Marketplace: An Empirical Study

Information system research has examined client-vendor trust relationship and governance structures in outsourcing context. Extending the complementary relationship between formal controls and relational governance, this study investigates how formal controls and relational governance influence trust in a crowdsourcing marketplace setting. Furthermore, to combine data from both vendor and client, the paper adopts the method of degree-symmetric value for construct conceptualization measurement, and data analysis. This helps us to understand trust in the CM setting, as opposed to a single sided perspective. The research model will be validated and tested using a field study with matched client-vendor samples from zhubajie.com, a leading crowdsourcing marketplace in China. Contributions are intended to shed light on the phenomenon of crowdsourcing, especially, trust relationships among clients, vendors, and crowdsourcing marketplace.
Aggregation and Soft Clustering of Informetric Data

The aim of this contribution is to inspect possible applications of clustering techniques computed over a set consisting of nonincreasingly ordered vectors of possibly nonconforming lengths. Such data sets appear in the field of informetrics, where one may need to evaluate the quality of information items, e.g research papers, and their producers. In this paper we investigate the notion of cluster centers as an aggregated representation of all vectors from a given cluster and analyze them by means of aggregation operators.
Bioinformatics: From arduous beginnings to molecular databases

This is a brief review of the origins of bioinformatics and the development of biological databases and molecular analysis tools. The paper covers the period from 1945 (Sanger’s work on insulin) to 2004 (introduction of the lat− est MEGA version, GenBank release 143). For the purpose of this article, the term “bioinformatics” means the dis− cipline involving biology and computer science, and the term “computational biology” is understood as a process of biological data analysis and interpretation (Adv Clin Exp Med 2007, 16, 1, 85–93).
Blind identification and order estimation of FIR communications channels using cyclic statistics

We address the problem of the blind joint identification and order estimation of a non-minimum phase FIR communication channel by exploiting the cyclo-stationarity of the received signal sampled at a rate greater than the symbol rate. We show that the identification can be formulated as a "subspace fitting" problem; this allows for using the subspace distance as a test statistic to detect the correct channel length (among different hypotheses). Moreover, mimicking estimation procedures proposed in the framework of DOA estimation, an asymptotically efficient procedure is proposed which obtains the channel estimate in two steps: the channel estimate obtained in the first step determines optimal weights which are then employed in the second step to refine the channel estimate. The accuracy of the identification is comparable with other methods described in the literature (e.g. the subspace method) while the test for order detection performs quite well also in the presence of channel disparity outperforming commonly used tests based on the eigenvalues of the covariance matrix.
Reconfigurable protocol sensing in an end-to-end demonstration

In this work, we present sensing performance using an architecture for a reconfigurable protocol chip for spacebased applications. Toward utilizing the IP packet architecture, utilizing data link layer framing structures for multiplexed data on a channel are the targeted application considered for demonstration purposes. Specifically, we examine three common framing standards and present the sensing performance of these standards and their relative de-correlation metrics. Some analysis is performed to investigate the impact of lossy links. Finally, we present results on a demonstration platform that integrated reconfigurable sensing technology into the Ground Station Interface Device (GRID) for End-to-End IP demonstrations in space.
A Multi-factor Customer Classification Evaluation Model

Pervasive application of data mining technology is very important in analytical CRM software development when the distributed data warehouse is constructed. We propose a multi-factor customer classification evaluation model CLV/CL/CC which comprehensively considers customer lifetime value, customer loyalty and customer credit. It classifies clients with synthetic data mining algorithms. In this paper, we present an extended Bayes model which substitutes the primary attribute group with a new attribute group to improve the classification quality of naive Bayes.
Cholinergic Stimulation of AP-1 and NFκB Transcription Factors Is Differentially Sensitive to Oxidative Stress in SH-SY5Y Neuroblastoma: Relationship to Phosphoinositide Hydrolysis

Oxidative stress appears to contribute to neuronal dysfunction in a number of neurodegenerative conditions, notably including Alzheimer’s disease, in which cholinergic receptor-linked signal transduction activity is severely impaired. To test whether oxidative stress could contribute to deficits in cholinergic signaling, responses to carbachol were measured in human neuroblastoma SH-SY5Y cells exposed to H2O2. DNA binding activities of two transcription factors that are respondent to oxidative conditions, AP-1 and NFκB, were measured in nuclear extracts. H2O2 and carbachol individually induced dose- and time-dependent increases in AP-1 and NFκB. In contrast, when given together, H2O2 concentration dependently (30–300 μm) inhibited the increase after carbachol in AP-1. Carbachol’s stimulation of NFκB was not inhibited except with a high concentration (300 μm) of H2O2, which was associated with impaired activation of protein kinase C. Lower concentrations of H2O2 (30–300 μm) inhibited carbachol-induced [3H]phosphoinositide hydrolysis, and this inhibition correlated (r = 0.95) with the inhibition of carbachol-induced AP-1. Activation of [3H]phosphoinositide hydrolysis by the calcium ionophore ionomycin was unaffected by H2O2, indicating that phospholipase C and phosphoinositides were impervious to this treatment. In contrast, activation with NaF of G-proteins coupled to phospholipase C was concentration dependently inhibited by H2O2, indicating impaired G-protein function. These effects of H2O2 are similar to signaling impairments reported in Alzheimer’s disease brain, which involve deficits in receptor- and G-protein-stimulated phosphoinositide hydrolysis, but not phospholipase C activity. Thus, these findings indicate that oxidative stress may contribute to impaired phosphoinositide signaling in neurological disorders in which oxidative stress occurs, and that oxidative stress can differentially influence transcription factors activated by cholinergic stimulation.
Expansionary Monetary Policy and Decreasing Entrepreneurial Quality

Austrian business cycle theory has been criticized on the basis of “rational expectations. ” That is, reasonably high quality entrepreneurs—which are required for economic growth—should be able to foresee the business cycle and thereby avoid making malinvestments. As noted by Evans and Baxendale (2008), this argument ignores the fact that entrepreneurs are heterogeneous in quality. American housing data from the past 25 years suggests that entrepreneurs are more likely to make errors when interest rates are unusually low. This suggests that during the boom either entrepreneurs become foolish—or, as suggested by Evans and Baxendale (2008), fools become entrepreneurs.
HIV Testing Practices by Clinical Service before and after Revised Testing Guidelines in a Swiss University Hospital

Objectives To determine 1) HIV testing practices in a 1400-bed university hospital where local HIV prevalence is 0.4% and 2) the effect on testing practices of national HIV testing guidelines, revised in March 2010, recommending Physician-Initiated Counselling and Testing (PICT). Methods Using 2 hospital databases, we determined the number of HIV tests performed by selected clinical services, and the number of patients tested as a percentage of the number seen per service (‘testing rate’). To explore the effect of the revised national guidelines, we examined testing rates for two years pre- and two years post-PICT guideline publication. Results Combining the clinical services, 253,178 patients were seen and 9,183 tests were performed (of which 80 tested positive, 0.9%) in the four-year study period. The emergency department (ED) performed the second highest number of tests, but had the lowest testing rates (0.9–1.1%). Of inpatient services, neurology and psychiatry had higher testing rates than internal medicine (19.7% and 9.6% versus 8%, respectively). There was no significant increase in testing rates, either globally or in the majority of the clinical services examined, and no increase in new HIV diagnoses post-PICT recommendations. Conclusions Using a simple two-database tool, we observe no global improvement in HIV testing rates in our hospital following new national guidelines but do identify services where testing practices merit improvement. This study may show the limit of PICT strategies based on physician risk assessment, compared to the opt-out approach.
Human pluripotent stem cells differentiated in fully defined medium generate hematopoietic CD 34-and CD 34 + progenitors with distinct characteristics CHICHA-GAUDIMIER

Differentiation of pluripotent stem cells in vitro provides a powerful means to investigate early developmental fates, including hematopoiesis. In particular, the use of a fully defined medium (FDM) would avoid biases induced by unidentified factors contained in serum, and would also allow key molecular mediators involved in such a process to be identified. Our goal was to induce in vitro, the differentiation of human embryonic stem cells (ESC) and induced pluripotent stem cells (iPSC) into morphologically and phenotypically mature leukocytes and erythrocytes, in the complete absence of serum and feeder cells. CHICHA-GAUDIMIER, Laurie, et al. Human pluripotent stem cells differentiated in fully defined medium generate hematopoietic CD34and CD34+ progenitors with distinct characteristics. PLOS ONE, 2011, vol. 6, no. 2, p. e14733 DOI : 10.1371/journal.pone. 0014733
Symmetries of Polyhedra : Detection and ApplicationsX

This paper deals with the detection of symmetries of polyhedra and its applications. It consists of two parts. First, we review seven algorithms for symmetry detection of poly-hedra. Since these algorithms supply symmetry information in quite diierent forms, we classify the three most common output forms of the symmetry detection algorithms and discuss their relationships and the transformation from one form into another. For each algorithm, the following ve aspects are considered: the output form, the computational complexity, the polyhedra class the algorithm can handle, the implementation, and the suitability for solving the related polyhedral congruity problem. Then, we compare the seven symmetry detection algorithms and give some recommendations as to which algorithm to choose for particular applications. In the second part of this paper we discuss some applications of symmetry information in robotics, geometric problem-solving, and computer vision. The conclusions of this review are twofold. On the one hand, symmetries can be very useful to resolve ambiguities or increase computational eeciency in problem-solving processes involving geometric objects. On the other hand, simple and eecient symmetry detection algorithms are available now. This makes the symmetry exploration a practical issue for many applications.