Miracle-dz/UniFAR-FTUs huggingface dataset:
Profile of panobinostat and its potential for treatment in solid tumors: an update

The histone deacetylase (HDAC) inhibitors have emerged as novel therapies for cancer. Panobinostat (LBH 589, Novartis Pharmaceuticals) is a pan-deacetylase inhibitor that is being evaluated in both intravenous and oral formulations across multiple tumor types. Comparable to the other HDACs, panobinostat leads to hyperacetylation of histones and other intracellular proteins, allowing for the expression of otherwise repressed genes, leading to inhibition of cellular proliferation and induction of apoptosis in malignant cells. Panobinostat, analogous to other HDAC inhibitors, also induces apoptosis by directly activating cellular death receptor pathways. Preclinical data suggests that panobinostat has inhibitory activity at nanomolar concentrations and appears to be the most potent clinically available HDAC inhibitor. Here we review the current status of panobinostat and discuss its role in the treatment of solid tumors.
Quantification of Agrobacterium tumefaciens C58 attachment to Arabidopsis thaliana roots

Agrobacterium tumefaciens is the causal agent of crown gall disease and is a vector for DNA transfer in transgenic plants. The transformation process by A. tumefaciens has been widely studied, but the attachment stage has not been well characterized. Most measurements of attachment have used microscopy and colony counting, both of which are labor and time intensive. To reduce the time and effort required to analyze bacteria attaching to plant tissues, we developed a quantitative real-time PCR (qPCR) assay to quantify attached A. tumefaciens using the chvE gene as marker for the presence of the bacteria. The qPCR detection threshold of A. tumefaciens from pure culture was 104 cell equivalents/ml. The A. tumefaciens minimum threshold concentration from root-bound populations was determined to be 105 cell equivalents/ml inoculum to detect attachment above background. The qPCR assay can be used for measuring A. tumefaciens attachment in applications such as testing the effects of mutations on bacterial adhesion molecules or biofilm formation, comparing attachment across various plant species and ecotypes, and detecting mutations in putative attachment receptors expressed in plant roots.
Trends in chlamydia and gonorrhoea testing and positivity in Western Australian Aboriginal and non-Aboriginal women 2001-2013: a population-based cohort study.

BACKGROUND This study aimed to examine trends in chlamydia and gonorrhoea testing and positivity in Aboriginal and non-Aboriginal women of reproductive age. METHODS A cohort of 318002 women, born between 1974 and 1995, residing in Western Australia (WA) was determined from birth registrations and the 2014 electoral roll. This cohort was then probabilistically linked to all records of chlamydia and gonorrhoea nucleic acid amplification tests conducted by two large WA pathology laboratories between 1 January 2001 and 31 December 2013. Trends in chlamydia and gonorrhoea testing and positivity were investigated over time and stratified by Aboriginality and age group. RESULTS The proportion of women tested annually for chlamydia increased significantly between 2001 and 2013 from 24.5% to 36.6% in Aboriginal and 4.0% to 8.5% in non-Aboriginal women (both P-values <0.001). Concurrent testing was high (>80%) and so patterns of gonorrhoea testing were similar. Chlamydia and gonorrhoea positivity were substantially higher in Aboriginal compared with non-Aboriginal women; age-, region- and year-adjusted incidence rate ratios were 1.52 (95% confidence interval (CI) 1.50-1.69, P<0.001) and 11.80 (95% CI 10.77-12.91, P<0.001) respectively. Chlamydia positivity increased significantly in non-Aboriginal women aged 15-19 peaking in 2011 at 13.3% (95% CI 12.5-14.2%); trends were less consistent among 15-19-year-old Aboriginal women but positivity also peaked in 2011 at 18.5% (95% CI 16.9-20.2%). Gonorrhoea positivity was 9.7% (95% CI 9.3-10.1%), 6.7% (95% CI 6.4-7.0%), 4.7% (4.4-5.0%), and 3.1% (2.8-3.4%) among Aboriginal women aged respectively 15-19, 20-24, 25-29 and ≥30 years, compared with <1% in all age groups in non-Aboriginal women. Over time, gonorrhoea positivity declined in all age groups among Aboriginal and non-Aboriginal women. CONCLUSION Between 2001 and 2013 in WA chlamydia and gonorrhoea positivity remained highest in young Aboriginal women despite chlamydia positivity increasing among young non-Aboriginal women. More effective prevention strategies, particularly for young Aboriginal women, are needed to address these disparities.
Cloud simulation in virtual environments

In this paper, we present a new method of simulating and visualizing smoke and steam clouds in virtual environments (VEs). We use a particle system approach, but reduce the particle numbers to decrease the computation and rendering times. Special care, however is taken for the presentation quality of the clouds. From every viewing point (even within the clouds), the VE user does not have the impression that the clouds are hollow polyhedrons, but rather fuzzy objects.
Fluvastatin in the Treatment of Dyslipidemia Associated with Chronic Kidney Failure and Renal Transplantation

Premature atherosclerotic coronary heart disease driven by multiple risk factors is a major cause of morbidity and mortality among the 6 million patients in the United States with chronic renal failure. Consensus is that kidney failure and renal transplantation patients should be treated aggressively for dyslipidemia. Major medical literature databases were searched for published information about fluvastatin, a HMG-CoA reductase inhibitor, use in patients with impaired renal function. This article characterizes the dyslipidemia observed in these clinical settings and reviews the clinical experience with fluvastatin.
Session papers

As the data stream from the ARM Southern Great Plains on an hourly basis from the National Meteorological (SGP) site matures, the value of this resource is becoming Center. The MAPS profiles serve as input to a radiative more readily apparent. For the first time, research on the transfer model, which is used to determine clear sky fluxes coupling of clouds and radiation is not limited to data from of solar and infrared radiation. These computed fluxes are short duration field campaigns. While data from these compared to observed fluxes. By then examining the campaigns are necessary, the full spectrum of naturally micropulse lidar or Belfort ceilometer output, the presence occurring variability must be considered in the of a cloud is ascertained. If a cloud is detected, the development and verification of parameterizations for difference between the observed fluxes and computed clear global models. sky fluxes (the surface cloud forcing) is linked to the
Energetics of OCP 1 – OCP 2 complex formation

OCP1 and OCP2, the most abundant proteins in the cochlea, are putative subunits of an SCF E3 ubiquitin ligase. Previous work has demonstrated that they form a heterodimeric complex. The thermodynamic details of that interaction are herein examined by isothermal titration calorimetry. At 25 °C, addition of OCP1 to OCP2 yields an apparent association constant of 4.0×10 M. Enthalpicallydriven (ΔH=−35.9 kcal/mol) and entropically unfavorable (−TΔS=25.5 kcal/mol), the reaction is evidently unaccompanied by protonation/ deprotonation events. ΔH is strongly dependent on temperature, with ΔCp=−1.31 kcal mol K. Addition of OCP2 to OCP1 produces a slightly less favorable ΔH, presumably due to the requirement for dissociation of the OCP2 homodimer prior to OCP1 binding. The thermodynamic signature for OCP1/OCP2 complex formation is inconsistent with a rigid-body association and suggests that the reaction is accompanied by a substantial degree of folding. © 2008 Elsevier B.V. All rights reserved.
Populism as political communication style An empirical study of political parties' discourse in Belgium

The scientific debate about populism has been revitalised by the recent rise of extreme-right parties in Western Europe. Within the broad discussion about populism and its relationship with extreme-right, in this article, we confine ourselves to three topics, a conceptual, an epistemological and an empirical issue. First, taking a clear position in the ongoing definition struggle, we define populism primarily as a specific political communication style. We conceive of populism as a political style essentially displaying proximity of the people, while at the same time taking an anti-establishment stance and stressing the (ideal) homogeneity of the people by excluding specific population segments. Second, we point out that defining populism as a style enables us to turn it into a useful concept that has too often remained vague and blurred. Third, drawing on our operational definition of populism, a comparative discourse analysis of the political party broadcasts of the Belgian parties is carried out. Our quantitative analysis leads to a clear conclusion. In terms of the degree and the kinds of populism embraced by the six political parties under scrutiny, the extreme-right party Vlaams Blok behaves very differently from the other Belgian parties. Its messages are a copy-book example of populism.
Child maltreatment and insecure attachment: a meta‐analysis

The validity of the insecure/disorganized attachment pattern has been clearly established in over 80 studies with more than 100 samples. However, given that child maltreatment is considered one of the most important causes of insecure/disorganized attachment, it is notable that few studies have been published specifically examining the maltreatment/insecure attachment hypothesis. The purpose of this paper was to review the research findings and conduct a meta‐analysis to examine the effect size of maltreatment and insecure attachment across studies. A second goal was to conduct a subpopulation analysis to investigate effect size by type of maltreatment. Following a literature search which yielded 25 articles, we identified eight studies (n = 791) that: (a) consisted of children who experienced different types of maltreatment including cases of malnutrition and failure‐to‐thrive, (b) consisted of children under 48 months of age, (c) used the Strange Situation or a modification of it to measure attachment, (d) had comparison groups, and (e) contained sufficient detail to conduct a meta‐analysis. Results showed that the maltreated infants were significantly more likely to have an insecure attachment than the controls. A subpopulation analysis by type of abuse was conducted. Overall the findings support the maltreatment/insecure attachment hypothesis. The subpopulation analysis, although extremely small, indicates that different types of maltreatment affect the magnitude of the effect. These findings suggest further investigation into the differential impact by type or multiple types of maltreatment as well as the frequency of events on outcomes.
Political Trust, Ideology, and Public Support for Tax Cuts

This article analyzes the relationship between political trust, ideology, and public support for tax cutting. Conceptualizing tax cuts as government action under conditions of risk, I argue that political trust should increase rather than decrease public support for tax cutting, particularly among those for whom endorsement of tax cuts entails ideological sacrifice. The results show that political trust increases support for a variety of tax cut initiatives, but only among liberals. The results further suggest that trust is an instrumental resource that can bolster support for a conservative as well as a liberal policy agenda.
Econometrica , Submission # 6956 , revised ON FORWARD INDUCTION

A player’s pure strategy is called relevant for an outcome of a game in extensive form with perfect recall if there exists a weakly sequential equilibrium with that outcome for which the strategy is an optimal reply at every information set it does not exclude. The outcome satisfies forward induction if it results from a weakly sequential equilibrium in which players’ beliefs assign positive probability only to relevant strategies at each information set reached by a profile of relevant strategies. We prove that if there are two players and payoffs are generic then an outcome satisfies forward induction if every game with the same reduced normal form after eliminating redundant pure strategies has a sequential equilibrium with an equivalent outcome. Thus in this case forward induction is implied by decision-theoretic criteria. This paper has two purposes. One is to provide a general definition of forward induction for games in extensive form with perfect recall. As a refinement of weakly sequential equilibrium, forward induction restricts the support of a player’s belief at an information set to others’ strategies that are optimal replies to some weakly sequential equilibrium with the same outcome, if there are any that reach that information set. The second purpose is to resolve a conjecture by Hillas and Kohlberg [27, §13.6], of which the gist is that ‘invariant backward induction outcomes satisfy forward induction. ’ An outcome is invariant if every extensive form representing the same strategic situation (i.e. they have the same reduced normal form) has a sequential equilibrium with an equivalent outcome. For a game with two players and generic payoffs we prove that an invariant outcome satisfies forward induction. The definitions and theorem are entirely decision-theoretic. None of the technical devices invoked in game theory, such as perturbations of players’ strategies or payoffs, are needed. Date: December 2004. Submitted January 2007. Revised January 29, 2008.
Clinical decision support system: risk level prediction of heart disease using weighted fuzzy rules and decision tree rules

The development of medical domain applications has been one of the most active research areas recently. One example of a medical domain application is a detection system for heart disease based on computer-aided diagnosis methods, where the data is obtained from some other sources and is evaluated by computer based applications. Up to now, computers have usually been used to build knowledge based clinical decision support systems which used the knowledge from medical experts, and transferring this knowledge into computer algorithms was done manually. This process is time consuming and really depends on the medical expert’s opinion, which may be subjective. To handle this problem, machine learning techniques have been developed to gain knowledge automatically from examples or raw data. Here, a weighted fuzzy rule-based clinical decision support system (CDSS) is presented for the diagnosis of heart disease, automatically obtaining the knowledge from the patient’s clinical data. The proposed clinical decision support system for risk prediction of heart patients consists of two phases, (1) automated approach for generation of weighted fuzzy rules and decision tree rules, and, (2) developing a fuzzy rule-based decision support system. In the first phase, we have used the mining technique, attribute selection and attribute weightage method to obtain the weighted fuzzy rules. Then, the fuzzy system is constructed in accordance with the weighted fuzzy rules and chosen attributes. Finally, the experimentation is carried out on the proposed system using the datasets obtained from the UCI repository and the performance of the system is compared with the neural network-based system utilizing accuracy, sensitivity and specificity.
Assessing the association of oxytocin augmentation with obstetric anal sphincter injury in nulliparous women: a population-based, case–control study

Objective To assess the association of oxytocin augmentation with obstetric anal sphincter injury among nulliparous women. Design Population-based, case–control study. Setting Primary and secondary teaching hospital serving a Norwegian region. Population 15 476 nulliparous women with spontaneous start of labour, single cephalic presentation and gestation ≥37 weeks delivering vaginally between 1999 and 2012. Methods Based on the presence or absence of oxytocin augmentation, episiotomy, operative vaginal delivery and birth weight (<4000 vs ≥4000 g), we modelled in logistic regression the best fit for prediction of anal sphincter injury. Within the modified model of main exposures, we tested for possible confounding, and interactions between maternal age, ethnicity, occiput posterior position and epidural analgaesia. Main outcome measure Obstetric anal sphincter injury. Results Oxytocin augmentation was associated with a higher OR of obstetric anal sphincter injuries in women giving spontaneous birth to infants weighing <4000 g (OR 1.8; 95% CI 1.5 to 2.2). Episiotomy was not associated with sphincter injuries in spontaneous births, but with a lower OR in operative vaginal deliveries. Spontaneous delivery of infants weighing ≥4000 g was associated with a threefold higher OR, and epidural analgaesia was associated with a 30% lower OR in comparison to no epidural analgaesia. Conclusions Oxytocin augmentation was associated with a higher OR of obstetric anal sphincter injuries during spontaneous deliveries of normal-size infants. We observed a considerable effect modification between the most important factors predicting anal sphincter injuries in the active second stage of labour.
How to Share Experiments

OURMINE is an environment for developing and sharing data mining experiments. Adding new tools to OURMINE, in a variety of languages, is a rapid and simple process. This makes it a useful research tool. OURMINE also has pedagogical advantages. Complicated graphical interfaces have been eschewed for simple commandline prompts. This simplifies the learning curve for data mining novices. The simplicity also encourages large scale modification and experimentation with the code. More importantly, OURMINE is a useful communication tool. For example, in this paper, we show the OURMINE code required to reproduce a recent experiment checking how defect predictors learned from one site apply to another. This is an important result for the PROMISE community since it shows that our shared repository is not just a useful academic resource. Rather, it is a valuable resource industry: companies that lack the local data required to build those predictors can use PROMISE data to build defect predictors. As this example shows, OURMINE offers a succinct notation for describing experiments. We therefore propose OURMINE as a candidate technology for the creation of libraries of reusable software engineering experiments.
The GovStat Ontology

The goal of the GovStat Project is to create an integrated model that facilitates access and use of U.S. government statistical information. The vocabulary support team within the GovStat Project is developing the Statistical Interactive Glossary (SIG) and the GovStat Ontology as online vocabulary tools for supporting users seeking statistical information in government websites. This paper describes the functions and structure of the GovStat Ontology.
Structural Analysis of Influenza A Virus Matrix Protein M1 and Its Self-Assemblies at Low pH

Influenza A virus matrix protein M1 is one of the most important and abundant proteins in the virus particles broadly involved in essential processes of the viral life cycle. The absence of high-resolution data on the full-length M1 makes the structural investigation of the intact protein particularly important. We employed synchrotron small-angle X-ray scattering (SAXS), analytical ultracentrifugation and atomic force microscopy (AFM) to study the structure of M1 at acidic pH. The low-resolution structural models built from the SAXS data reveal a structurally anisotropic M1 molecule consisting of a compact NM-fragment and an extended and partially flexible C-terminal domain. The M1 monomers co-exist in solution with a small fraction of large clusters that have a layered architecture similar to that observed in the authentic influenza virions. AFM analysis on a lipid-like negatively charged surface reveals that M1 forms ordered stripes correlating well with the clusters observed by SAXS. The free NM-domain is monomeric in acidic solution with the overall structure similar to that observed in previously determined crystal structures. The NM-domain does not spontaneously self assemble supporting the key role of the C-terminus of M1 in the formation of supramolecular structures. Our results suggest that the flexibility of the C-terminus is an essential feature, which may be responsible for the multi-functionality of the entire protein. In particular, this flexibility could allow M1 to structurally organise the viral membrane to maintain the integrity and the shape of the intact influenza virus.
Oligogenic segregation analysis of hereditary prostate cancer pedigrees: Evidence for multiple loci affecting age at onset

Previous studies have suggested strong evidence for a hereditary component to prostate cancer (PC) susceptibility. Here, we analyze 3,796 individuals in 263 PC families recruited as part of the ongoing Prostate Cancer Genetic Research Study (PROGRESS). We use Markov chain Monte Carlo (MCMC) oligogenic segregation analysis to estimate the number of quantitative trait loci (QTLs) and their contribution to the variance in age at onset of hereditary PC (HPC). We estimate 2 covariate effects: diagnosis of PC before and after prostate‐specific antigen (PSA) test availability, and presence/absence of at least 1 blood relative with primary neuroepithelial brain cancer (BC). We find evidence that 2 to 3 QTLs contribute to the variance in age at onset of HPC. The 2 QTLs with the largest contribution to the total variance are both effectively dominant loci. We find that the covariate for diagnosis before and after PSA test availability is important. Our findings for the number of QTLs contributing to HPC and the variance contribution of these QTLs will be instructive in mapping and identifying these genes. © 2003 Wiley‐Liss, Inc.
Fuzzy logic based dynamic load balancing in virtualized data centers

Cloud Computing helps to provide quality of service to the end users within required time frame. Serving user requests using distributed network of virtualized data centers is a challenging task as response time increases significantly without a proper load balancing strategy. There are many algorithms proposed in the literature to support load balancing in cloud environment. All of them have their merits and demerits. The inherent structure of load balancing is rather imprecise. In this research, we model the imprecise requirements of memory, bandwidth and disk space through the use of fuzzy logic. Then we design and evaluate an efficient dynamic fuzzy load balancing algorithm which could efficiently predict the virtual machine where the next job will be scheduled. We implement a cloud model in simulation environment and compare the result of our novel approach with existing techniques. Simulation results demonstrate that our fuzzy algorithm outperforms other scheduling algorithms with respect to response time, data center processing time, etc.