Miracle-dz/UniFAR-FTUs huggingface dataset:
Implementing Privacy-Preserving Bayesian-Net Discovery for Vertically Partitioned Data

The great potential of data mining in a networked world cannot be realized without acceptable guarantees that private information will be protected. In theory, general cryptographic protocols for secure multiparty computation enable data mining with privacy preservation that is optimal with respect to the desired end results. However, the performance expense of such general protocols is prohibitive if applying the technology naively to non-trivial databases. The gap between theory and practice in cryptographic approaches is being narrowed, in part, by the introduction of problemspecific secure computation protocols. We describe our implementation of the recent YangWright secure protocol for Bayes-net discovery in vertically partitioned data. Our development occasions the proposal of a general coordination architecture for assembly of modularly described, complex protocols from independently implemented and tested subprotocol building blocks, which should facilitate future similar implementation efforts.
An Analysis of the Level of Professionalism among Canadian Journalists

journalism, he could not accept this premise made by the Davey Committee, especially since the committee’s report lacked significant evidence to justify this claim.3 Thus, this study was designed to test the assumption that Canadian journalists are low in professionalism, and to examine differences in professional orientation between various groups of Canadian news reporters. Many have recently discussed professionalism in journalism and it has been argued successfully both that journalism is a profession and that it is not . 4 Although journalism has many elements and charac-
NFBD1/MDC1, 53BP1 and BRCA1 have both redundant and unique roles in the ATM pathway

NFBD1/MDC1, 53BP1, and BRCA1 are DNA damage checkpoint proteins with twin BRCT domains. In order to determine if they have redundant roles in responses to ionizing radiation, we used siRNA and shRNA to deplete NFBD1, 53BP1, and BRCA1 in single, double, and triple combinations. These analyses were performed in early passage human foreskin fibroblasts so that checkpoint responses could be assessed in a normal genetic background. We report that NFBD1, 53BP1, and BRCA1 have both unique and redundant functions in radiation-induced phosphorylation and localization events in the ATM-Chk2 pathway. 53BP1, but not NFBD1 and BRCA1, mediates ionizing radiation-induced ATM S1981 autophosphorylation. In contrast, all three mediators collaborate to promote IR-induced Chk2 T68 phosphorylation. NFBD1 and 53BP1, but not BRCA1, work together to mediate pATMS1981, pChk2T68, and NBS1 ionizing radiation induced foci (IRIF). However, the relative importance of NFBD1 and 53BP1 in IRIF formation differ. We also determined the interdependence among mediators in IRIF recruitment. We extend previous findings in cancer cells and mouse cells that NFBD1 is upstream of 53BP1 and BRCA1 to primary human cells. Furthermore, NFBD1 promotes BRCA1 IRIF through both 53BP1-dependent and 53BP1-independent mechanisms.
Symbol Timing Detection for OFDM Signals with Time Varying Gain

The packet based OFDM (Orthogonal Frequency Division Multiplexing) systems require the fast timing synchronization using a preamble located at the beginning of the received data frame. To detect the symbol timing of the received signal, periodicity of the preamble can be utilized. However, the time varying gain of preamble sample values can affect the performance of the synchronization in case the samples of the beginning part of the packet are involved. This is due to the AGC (Automatic Gain Control) operation at the receiver. Conventional symbol timing detectors use the very last part of the short preamble whose gain level is settled upon the completion of the AGC operation. In this paper the symbol timing detector is proposed using all parts of the short preamble to improve the detection performance keeping the independence of the AGC gain. Simulation results show that the proposed method shows compatible performance for various channel environments.
Personalized Recommendation in Folksonomies Using a Joint Probabilistic Model of Users, Resources and Tags

The concept of Web 2.0 or "semantic web" has been getting more and more popular during the last half decade. The potential of very subtle yet important emergent semantics hidden in such environments calls for equally elegant and powerful methods to "mine" them. However, much of the previous work on model based recommender systems for folksonomies considered user to resource and resource to tag similarity separately, ignoring the dependency of users' interest to both the tags and the corresponding resources. In this paper, we propose a probabilistic personalized recommendation model, Latent Interest Model, that accounts for users, tags and resources jointly. The proposed method's performance is evaluated on real data sets obtained from a popular online bookmarking site using different performance measures for tag and resource recommendation tasks. Our experimental results show that our model captures personal preferences for tag usage and resource selection. Performance evaluation of Latent Interest Model indicates that the proposed personalized method yields significant improvement of recommendation accuracy.
Targeting of the Fun30 nucleosome remodeller by the Dpb11 scaffold facilitates cell cycle-regulated DNA end resection

DNA double strand breaks (DSBs) can be repaired by either recombination-based or direct ligation-based mechanisms. Pathway choice is made at the level of DNA end resection, a nucleolytic processing step, which primes DSBs for repair by recombination. Resection is thus under cell cycle control, but additionally regulated by chromatin and nucleosome remodellers. Here, we show that both layers of control converge in the regulation of resection by the evolutionarily conserved Fun30/SMARCAD1 remodeller. Budding yeast Fun30 and human SMARCAD1 are cell cycle-regulated by interaction with the DSB-localized scaffold protein Dpb11/TOPBP1, respectively. In yeast, this protein assembly additionally comprises the 9-1-1 damage sensor, is involved in localizing Fun30 to damaged chromatin, and thus is required for efficient long-range resection of DSBs. Notably, artificial targeting of Fun30 to DSBs is sufficient to bypass the cell cycle regulation of long-range resection, indicating that chromatin remodelling during resection is underlying DSB repair pathway choice. DOI: http://dx.doi. org/10.7554/eLife.21687. 001
Local Deep Field for Electrocardiogram Beat Classification

To reduce the high mortality rate among heart patients, electrocardiogram (ECG) beat classification plays an important role in computer aided diagnosis system, but this issue is challenging because of the complex variations of data. Since ECG beat data lie on high-dimension manifold, we propose a novel method, named “local deep field”, in purpose of capturing the devil in the details of such data manifold. This method learns different deep models within the local manifold charts. Local regionalization can help models focus on the particularity of local variations, while deep architecture can disentangle the hidden class information within local distributions. The advantage of the proposed method has been experimentally demonstrated in terms of MIT-BIH Arrhythmia database.
How Editors View Objectivity

b Objectivity as an ethical standard is one of the most pervasive in all of Journalism. But, what is objectivity? Curtis MacDougall in his popular text discusses objectivity and accuracy together. Objectivity, he says, “is the standard performance toward which we strive. ” He goes on to say that “news reports should be free of opinion and bias and represent all (emphasis mine) sides af an issue. ”] Other texts do not offer much more help in defining the illusive term, “objectivity. ” For the most part, they discuss printing “both” sides of issues, not “editorializing,” and being sure to attribute quotes so readers will know who said what. In discussing the history of news standardization, Donald Shaw saw objectivity as related to the development of “fast message transmission of the telegraph,” because readers demanded more timely news. * Shaw observed that there tended to be a decline in bias as the use of the telegraph became more common because readers demanded more timely news and there was a consequent increase of telegraph news dispatches.3 Siebert suggested that this trend might explain the decline of bias in news reports because wire services were sold to newspapers of varying political faiths.
MUSTANG HIGH ANGULAR RESOLUTION SUNYAEV–ZEL'DOVICH EFFECT IMAGING OF SUBSTRUCTURE IN FOUR GALAXY CLUSTERS

We present resolved images of four massive clusters of galaxies through the Sunyaev–Zel'dovich effect (SZE). These measurements, made at 90 GHz with the MUSTANG receiver on the Green Bank Telescope (GBT), reveal pressure substructure to the intracluster medium (ICM) in three of the four systems. The SZE and X-ray morphology of MACS0744.8+3927 are suggestive of the presence of a weak shock outside the cluster core. By fitting the Rankine–Hugoniot density jump conditions in a complementary SZE/X-ray analysis, we asses the feasibility of this interpretation. We conclude that a weak shock with a Mach number of and a shock velocity of 1827+267− 195 km s−1 adequately describes the observed phenomenology. Deeper Chandra data are needed for confirmation. In RXJ1347.5−1145, we present a new reduction of previously reported data and confirm the presence of a southeast SZE enhancement with a significance of 13. 9σ when smoothed to 18″ resolution. This too is likely caused by shock-heated gas produced in a recent merger. In our highest redshift system, CL1226.9+3332, we detect substructure at a peak significance of 4. 6σ in the form of a ridge oriented orthogonally to the vector connecting the main mass peak and a subclump revealed by weak lensing. We also conclude that the gas distribution is elongated in a southwest direction, consistent with a previously proposed merger scenario. The SZE image of the cool core cluster A1835 is, in contrast, consistent with azimuthally symmetric signal only. This pilot study demonstrates the potential of high-resolution SZE images to complement X-ray data and probe the dynamics of galaxy clusters.
An Overlapping Coalitional Game for Cooperative Spectrum Sensing and Access in Cognitive Radio Networks

Cognitive radio networks (CRNs) provide an effective solution to address the increasing demand for spectrum resources. The cooperation among secondary users (SUs) improves the sensing performance and spectrum efficiency. In this paper, we study the traffic-demand-based cooperation strategy of SUs in multichannel CRNs, in which each SU makes its own cooperative sensing decision according to its traffic demand. When an SU has high traffic demand, it can choose to sense multiple channels in the sensing period and obtain more chances to use spectrum resources. If an SU has no data to transmit, it can choose not to perform spectrum sensing. We formulate this problem as a nontransferable utility (NTU) overlapping coalitional game. In this game, each SU implements a cooperation strategy according to its expected payoff, which takes into account the expected throughput and energy efficiency. We propose two different algorithms, namely, an overlapping coalition formation (OCF) algorithm and a sequential coalition formation (SCF) algorithm, to obtain a coalition structure. The OCF algorithm guarantees that the coalition structure is stable, whereas the SCF algorithm has lower computational complexity and less information exchange among SUs. Moreover, when being assigned a certain channel, SU implements an adaptive transmission power control scheme to further improve its energy efficiency. Simulation results show that our proposed algorithms achieve a higher aggregate throughput than the disjoint coalition formation algorithm from the literature, where each SU can join only one coalition.
Pupil Participation and Pupil Perspective: 'carving a new order of experience'

School improvement, as Ruth Jonathan (1990, p. 568) has said, is not merely a matter of 'rapid response to changing market forces through a trivialised curriculum', but a question of dealing with the deep structures of school and the habits of thought and values they embody. To manage school improvement we need to look at schools from the pupils' perspective and that means tuning in to their experiences and views and creating a new order of experience for them as active participants.
Novel intrusion prediction mechanism based on honeypot log similarity

The current network‐based intrusion detection systems have a very high rate of false alarms, and this phenomena results in significant efforts to gauge the threat level of the anomalous traffic. In this paper, we propose an intrusion detection mechanism based on honeypot log similarity analysis and data mining techniques to predict and block suspicious flows before attacks occur. With honeypot logs and association rule mining, our approach can reduce the false alarm problem of intrusion detection because only suspicious traffic would be present in the honeypots. The proposed mechanism can reduce human effort, and the entire system can operate automatically. The results of our experiments indicate that the honeypot prediction system is practical for protecting assets from attacks or misuse.
Towards a Vector Space Model for FrameNet-like Resources

In this paper, we present an original framework to model frame semantic resources (namely, FrameNet) using minimal supervision. This framework can be leveraged both to expand an existing FrameNet with new knowledge, and to induce a FrameNet in a new language. Our hypothesis is that a frame semantic resource can be modeled and represented by a suitable semantic space model. The intuition is that semantic spaces are an effective model of the notion of being characteristic of a frame for both lexical elements and full sentences. The paper gives two main contributions. First, it shows that our hypothesis is valid and can be successfully implemented. Second, it explores different types of semantic VSMs, outlining which one is more suitable for representing a frame semantic resource. In the paper, VSMs are used for modeling the linguistic core of a frame, the lexical units. Indeed, if the hypothesis is verified for these units, the proposed framework has a much wider application.
ORBIT CONTROL AT SYNCHROTRON LIGHT SOURCES

Modern synchrotron light sources are pushing the limits of storage ring performance. Precise control of the electron beam orbit is critical for achieving design goals in these machines. A review of closed orbit control will be given, including an overview of the sources of orbit motion, a description of closed orbit correction and feedback algorithms, and a discussion of the pitfalls and limitations of orbit control. Illustrative examples from light sources worldwide will be included.
Remote Sensing and Earthquake Damage Assessment: Experiences, Limits, and Perspectives

In this paper, a survey of the techniques and data sets used to evaluate earthquake damages using remote sensing data is presented. After a few preliminary definitions about earthquake damage, their evaluation scale, and the difference between identification of damage “extent” and identification of damage “level,” the advantages and limits of different remote sensing data sets are presented. Furthermore, a survey of proposed algorithms for data interpretation and earthquake damage extraction is presented, and two examples of these algorithms and their results are discussed. According to the outcome of this survey, some open issues are finally presented and discussed, identifying possible research lines as well as working solutions.
Characterization of htrB and msbB Mutants of the Light Organ Symbiont Vibrio fischeri

ABSTRACT Bacterial lipid A is an important mediator of bacterium-host interactions, and secondary acylations added by HtrB and MsbB can be critical for colonization and virulence in pathogenic infections. In contrast, Vibrio fischeri lipid A stimulates normal developmental processes in this bacterium's mutualistic host, Euprymna scolopes, although the importance of lipid A structure in this symbiosis is unknown. To further examine V. fischeri lipid A and its symbiotic function, we identified two paralogs of htrB (designated htrB1 and htrB2) and an msbB gene in V. fischeri ES114 and demonstrated that these genes encode lipid A secondary acyltransferases. htrB2 and msbB are found on the Vibrio “housekeeping” chromosome 1 and are conserved in other Vibrio species. Mutations in htrB2 and msbB did not impair symbiotic colonization but resulted in phenotypic alterations in culture, including reduced motility and increased luminescence. These mutations also affected sensitivity to sodium dodecyl sulfate, kanamycin, and polymyxin, consistent with changes in membrane permeability. Conversely, htrB1 is located on the smaller, more variable vibrio chromosome 2, and an htrB1 mutant was wild-type-like in culture but appeared attenuated in initiating the symbiosis and was outcompeted 2.7-fold during colonization when mixed with the parent. These data suggest that htrB2 and msbB play conserved general roles in vibrio biology, whereas htrB1 plays a more symbiosis-specific role in V. fischeri.
Lights in Space

Recent disciplinary reconfigurations have shifted focus from a temporal-historical explanation of social life to one designed to investigate the latter's spatial dimension. This article examines the development of various spaces in the eighteenth century—physical, social, colonized, epistemological, and esthetic—and proposes a mode of cultural analysis and of historical understanding relating to the eighteenth century that takes account of these disicplinary shifts.
Reading behaviour from adolescence to early adulthood

In this article we study how the frequency of book-reading – a form of legitimate culture – develops in the period from adolescence to young adulthood and how it is influenced by parents’ education, parental reading socialization climate, school and their interactions. In disentangling parental and educational effects we contribute to the cultural reproduction–cultural mobility debate. We use multi-actor panel data on three cohorts of Dutch secondary school students (and their parents) who took part in a classroom survey between the ages of 14 and 17, and who participated in at least one of the follow-up surveys two, four and six years later. We find that the amount of book-reading is more strongly associated with education than with parents’ reading socialization. The influence of parents increases slightly in the period from adolescence to young adulthood. Differences in reading behaviour between students of different educational programmes increase during secondary education, but decrease in the period after secondary schooling. The transition to tertiary education hardly affects the frequency of reading. Overall, the results are more in line with the cultural reproduction model than with the cultural mobility model.
Implementing Self-Determination Activities

A statewide collaborative team of a university researcher, state department of education project staff, local school teachers and administrators, and parent consultants examined how a variety of secondary schools implemented and assessed student self-determination activities. The purpose was to link research to practice by systematically engaging in observation and dialogue about factors affecting implementation and sustainability of self-determination activities within schools. We used multiple methods, including participant observation, interviews, networking groups, and student assessments, to gather and evaluate information. Our analyses focused on generating lessons learned that had potential value for participants as well as a broader audience of practitioners, researchers, and policymakers. These lessons included the importance of engaging general educators in dialogue about the self-determination opportunities within the general curriculum.
Theory of Optimizing Pseudolinear Performance Measures: Application to F-measure

Non-linear performance measures are widely used for the evaluation of learning algorithms. For example, $F$-measure is a commonly used performance measure for classification problems in machine learning and information retrieval community. We study the theoretical properties of a subset of non-linear performance measures called pseudo-linear performance measures which includes $F$-measure, \emph{Jaccard Index}, among many others. We establish that many notions of $F$-measures and \emph{Jaccard Index} are pseudo-linear functions of the per-class false negatives and false positives for binary, multiclass and multilabel classification. Based on this observation, we present a general reduction of such performance measure optimization problem to cost-sensitive classification problem with unknown costs. We then propose an algorithm with provable guarantees to obtain an approximately optimal classifier for the $F$-measure by solving a series of cost-sensitive classification problems. The strength of our analysis is to be valid on any dataset and any class of classifiers, extending the existing theoretical results on pseudo-linear measures, which are asymptotic in nature. We also establish the multi-objective nature of the $F$-score maximization problem by linking the algorithm with the weighted-sum approach used in multi-objective optimization. We present numerical experiments to illustrate the relative importance of cost asymmetry and thresholding when learning linear classifiers on various $F$-measure optimization tasks.
A scalable and efficient self-organizing failure detector for grid applications

Failure detection and group membership management are basic building blocks for self-repairing systems in distributed environments, which need to be scalable, reliable, and efficient in practice. As available resources become larger in size and more widely distributed, it is more essential that they can be easily used with a small amount of manual configuration in grid environments, where connectivities between different networks may be limited by firewalls and NATs. In this paper, we present a scalable failure detection protocol that self-organizes in grid environments. Our failure detectors autonomously create dispersed monitoring relationships among participating processes with almost no manual configuration so that each process will be monitored by a small number of other processes, and quickly disseminate notifications along the monitoring relationships when failures are detected. With simulations and real experiments, we showed that our failure detector has a practical scalability, a high reliability, and a good efficiency. The overhead with 313 processes was at most 2-percent even when the heartbeat interval was set to 0.1 second, and accordingly smaller when it was longer.