Miracle-dz/UniFAR-FTUs huggingface dataset:
Estimating Orthant Probabilities of High-Dimensional Gaussian Vectors with An Application to Set Estimation

ABSTRACT The computation of Gaussian orthant probabilities has been extensively studied for low-dimensional vectors. Here, we focus on the high-dimensional case and we present a two-step procedure relying on both deterministic and stochastic techniques. The proposed estimator relies indeed on splitting the probability into a low-dimensional term and a remainder. While the low-dimensional probability can be estimated by fast and accurate quadrature, the remainder requires Monte Carlo sampling. We further refine the estimation by using a novel asymmetric nested Monte Carlo (anMC) algorithm for the remainder and we highlight cases where this approximation brings substantial efficiency gains. The proposed methods are compared against state-of-the-art techniques in a numerical study, which also calls attention to the advantages and drawbacks of the procedure. Finally, the proposed method is applied to derive conservative estimates of excursion sets of expensive to evaluate deterministic functions under a Gaussian random field prior, without requiring a Markov assumption. Supplementary material for this article is available online.
Prevalence and risk factors for trachoma and ocular Chlamydia trachomatis infection in Niger

Aims: To determine the association of personal and household risk factors for trachoma and ocular Chlamydia trachomatis infection in Niger. Methods: 12 villages were randomly selected. A census of all households was carried out, and 651 children aged 1–5 years were randomly selected and examined. Household and personal characteristics were determined, trachoma was clinically assessed and a swab for ocular C trachomatis infection was taken. Results: The prevalence of trachoma was 43% (95% confidence interval (CI) 39% to 47%) and of infection was 21% (95% CI 18% to 24%). Children aged 3–5 years had a stronger association of clinical signs with infection, compared with those aged 1–2 years. Those with unclean faces were three times more likely to have clinical trachoma or ocular C trachomatis infection, compared with those with clean faces (OR 3.1 (95% CI 1.6 to 6.2) and 3.0 (95% CI 1.4 to 6.3), respectively). 75% of compounds were within 30 min of a water source. Flies on the face were a risk factor for trachoma but not for C trachomatis infection. Conclusions: The different association of clinical signs with infection in younger versus older children may be an age-dependent difference in the duration of clinical disease. In Niger, unclean faces are a major risk factor for trachoma. The ready availability of water for washing suggests that further research on the effect of a strong health education campaign promoting clean children is warranted in this area.
Real-time Learning and Detection of 3D Texture-less Objects: A Scalable Approach

We present a method for the learning and detection of multiple rigid texture-less 3D objects intended to operate at frame rate speeds for video input. The method is geared for fast and scalable learning and detection by combining tractable extraction of edgelet constellations with library lookup based on rotation-and scale-invariant descriptors. The approach learns object views in real-time, and is generative - enabling more objects to be learnt without the need for re-training. During testing, a random sample of edgelet constellations is tested for the presence of known objects. We perform testing of single and multi-object detection on a 30 objects dataset showing detections of any of them within milliseconds from the object’s visibility. The results show the scalability of the approach and its framerate performance.
PREDICTIVE BIG DATA ANALYSIS FOR MACHINE LEARNING USING KNIME TO SOLVE MANY BUSINESS CHALLENGES

Machine learning is probably the process of devising the hardware to incorporate the intuitive behavior inside the machine, intended more cognitive approach to establishing the need of human assistance. In 1982 johan Naisbitt claims that we are drowning in the data but drastically starving in the knowledge. If we want our machine to comprehend and abide the instruction automatically, we should provide the complete data sets to our machine so as to perform in the best decision out of it. Consistency and reliability are the two dimensions concern to cater in our adaptive machines, in the absence of these aspects perhaps lead to many threads and failure for the society, causes catastrophic consequences. Machine learning unfolds the need of data mining and big data eventually empowered the predictive analysis, this technology evolving into advance analytics and later into data science. In this paper we are going to classify soil from satellite image data. We have evaluated and compared five different classification algorithms using the KNIME data mining tool. KNIME is a comprehensive data loading, processing, analysis and modelling platform incorporates compatibility with other tools such as
Globalisation, mergers and ‘inadvertent multi-campus universities’: reflections from Wales

Multi-site universities face the challenge of integrating campuses that may have different profiles and orientations arising from place-specific attachments. Multi-campus universities created via mergers seeking to ensure long-term financial sustainability. and increasing their attractiveness to students, create a tension in campuses’ purposes. We explore how mergers in Wales created ‘inadvertent’ multi-campus universities whilst attempting to increase their overall competitiveness. We highlight three tensions that mergers created for contributing to local places, firstly a tendency for internal concentration, investing for growth in metropolitan not peripheral campuses; secondly, to looking beyond traditional local campuses and creating external campuses (in this case in London); and thirdly, to specialise campuses on the basis of attracting external students not local needs. This creates a substantial challenge for managing multi-campus universities if they are to continue to be able to support the prosperity of more remote regions in an increasingly knowledge-based economy.
Sex steroids and gender differences in nonmuscle invasive bladder cancer

Purpose of review To review and summarize current knowledge on gender differences and sex steroid hormones in nonmuscle invasive bladder cancer. Recent findings Beyond the proven role of gender as a risk factor for the development of bladder cancer, recent studies indicate that women present with more advanced bladder cancer tumor stages than men, which may be due to differences in both bladder cancer care and biology. In addition, female gender has been identified as an independent prognostic factor for both recurrence and progression and may be associated with worse response to Bacillus Calmette–Guérin instillation therapy. Overall, sex steroid hormones and their receptors impact bladder carcinogenesis, recurrence and progression. Basic and transitional research evidence suggests that estrogens may initially protect against bladder cancer development, but later promote bladder cancer progression. Androgens, in contrast, seem to initiate and drive bladder cancer with its receptor playing a central role. Promising novel research shows a potential role of sex steroid hormones as therapeutic targets. Summary Whereas men are more likely to develop bladder cancer, women present generally with more advanced disease and have worse oncologic outcomes even after adjusting for tumor stage. Sex steroid hormones and their receptors play an active role in bladder cancer development and progression and represent attractive therapeutic targets for gender-specific care.
Environmental transmission of low pathogenicity avian influenza viruses and its implications for pathogen invasion

Understanding the transmission dynamics and persistence of avian influenza viruses (AIVs) in the wild is an important scientific and public health challenge because this system represents both a reservoir for recombination and a source of novel, potentially human-pathogenic strains. The current paradigm locates all important transmission events on the nearly direct fecal/oral bird-to-bird pathway. In this article, on the basis of overlooked evidence, we propose that an environmental virus reservoir gives rise to indirect transmission. This transmission mode could play an important epidemiological role. Using a stochastic model, we demonstrate how neglecting environmentally generated transmission chains could underestimate the explosiveness and duration of AIV epidemics. We show the important pathogen invasion implications of this phenomenon: the nonnegligible probability of outbreak even when direct transmission is absent, the long-term infectivity of locations of prior outbreaks, and the role of environmental heterogeneity in risk.
Lymphocyte proliferative responses to separated bovine herpesvirus 1 proteins in immune cattle

The immune response to bovine herpesvirus 1 (BHV-1) infection can protect cattle from subsequent challenge with the virus. This protection involves a variety of defensive strategies, and the activation of most of these defenses requires the recognition of viral proteins by the cellular immune system. To identify some of the BHV-1 proteins recognized by T lymphocytes, we measured in vitro proliferative responses to individual proteins. Viral proteins were separated by gel electrophoresis followed by Western immunoblotting, and immunoblots were evaluated for serological reactions. Unstained blotted fractions were processed into antigen-bearing particles for analysis in blastogenesis assays. Purified BHV-1 proteins obtained by immunoadsorbent chromatography were processed and included for comparison in both enzyme-linked immunosorbent and proliferation assays. The tegument protein VP8 and the glycoprotein gIV appeared to be the antigens which most consistently stimulated the proliferation of lymphocytes from BHV-1-immunized animals. Positive blastogenic responses were also detected to gI, gIII, and to one or more uncharacterized, low-molecular-weight proteins in some of the cattle tested. These results indicate that T-lymphocyte proliferative responses to BHV-1 proteins are detectable in immune cattle and may be important in protection from BHV-1 infection.
Self-Paced Kernel Estimation for Robust Blind Image Deblurring

The challenge in blind image deblurring is to remove the effects of blur with limited prior information about the nature of the blur process. Existing methods often assume that the blur image is produced by linear convolution with additive Gaussian noise. However, including even a small number of outliers to this model in the kernel estimation process can significantly reduce the resulting image quality. Previous methods mainly rely on some simple but unreliable heuristics to identify outliers for kernel estimation. Rather than attempt to identify outliers to the model a priori, we instead propose to sequentially identify inliers, and gradually incorporate them into the estimation process. The selfpaced kernel estimation scheme we propose represents a generalization of existing self-paced learning approaches, in which we gradually detect and include reliable inlier pixel sets in a blurred image for kernel estimation. Moreover, we automatically activate a subset of significant gradients w.r. t. the reliable inlier pixels, and then update the intermediate sharp image and the kernel accordingly. Experiments on both synthetic data and real-world images with various kinds of outliers demonstrate the effectiveness and robustness of the proposed method compared to the stateof- the-art methods.
Effect of varenicline on smoking cessation through smoking reduction: a randomized clinical trial.

IMPORTANCE Some cigarette smokers may not be ready to quit immediately but may be willing to reduce cigarette consumption with the goal of quitting. OBJECTIVE To determine the efficacy and safety of varenicline for increasing smoking abstinence rates through smoking reduction. DESIGN, SETTING, AND PARTICIPANTS Randomized, double-blind, placebo-controlled, multinational clinical trial with a 24-week treatment period and 28-week follow-up conducted between July 2011 and July 2013 at 61 centers in 10 countries. The 1510 participants were cigarette smokers who were not willing or able to quit smoking within the next month but willing to reduce smoking and make a quit attempt within the next 3 months. Participants were recruited through advertising. INTERVENTIONS Twenty-four weeks of varenicline titrated to 1 mg twice daily or placebo with a reduction target of 50% or more in number of cigarettes smoked by 4 weeks, 75% or more by 8 weeks, and a quit attempt by 12 weeks. MAIN OUTCOMES AND MEASURES Primary efficacy end point was carbon monoxide-confirmed self-reported abstinence during weeks 15 through 24. Secondary outcomes were carbon monoxide-confirmed self-reported abstinence for weeks 21 through 24 and weeks 21 through 52. RESULTS The varenicline group (n = 760) had significantly higher continuous abstinence rates during weeks 15 through 24 vs the placebo group (n = 750) (32.1% for the varenicline group vs 6.9% for the placebo group; risk difference (RD), 25.2% [95% CI, 21.4%-29.0%]; relative risk (RR), 4.6 [95% CI, 3.5-6.1]). The varenicline group had significantly higher continuous abstinence rates vs the placebo group during weeks 21 through 24 (37.8% for the varenicline group vs 12.5% for the placebo group; RD, 25.2% [95% CI, 21.1%-29.4%]; RR, 3.0 [95% CI, 2.4-3.7]) and weeks 21 through 52 (27.0% for the varenicline group vs 9.9% for the placebo group; RD, 17.1% [95% CI, 13.3%-20.9%]; RR, 2.7 [95% CI, 2.1-3.5]). Serious adverse events occurred in 3.7% of the varenicline group and 2.2% of the placebo group (P = .07). CONCLUSIONS AND RELEVANCE Among cigarette smokers not willing or able to quit within the next month but willing to reduce cigarette consumption and make a quit attempt at 3 months, use of varenicline for 24 weeks compared with placebo significantly increased smoking cessation rates at the end of treatment, and also at 1 year. Varenicline offers a treatment option for smokers whose needs are not addressed by clinical guidelines recommending abrupt smoking cessation. TRIAL REGISTRATION clinicaltrials.gov Identifier: NCT01370356.
Using regular approximations for generalisation during partial evalution

On-line partial evaluation algorithms include a generalisation step, which is needed to ensure termination. In partial evaluation of logic and functional programs, the usual generalisation operation applied to computation states is the most specific generalisation (msg) of expressions. This can cause loss of information, which is especially serious in programs whose computations first build some internal data structure, which is then used to control a subsequent phase of execution - a common pattern of computation. If the size of the intermediate data is unbounded at partial evaluation time then the msg will lose almost all information about its structure. Hence the second phase of computation cannot be effectively specialised. In this paper a generalisation based on regular approximations is presented. Regular approximations are recursive descriptions of term structure closely related to tree automata. A regular approximation of computation states can be built during partial evaluation. The critical point is that when generalisation is performed, the upper bound on regular descriptions can be combined with the msg, thus preserving structural information including recursively defined structure. The domain of regular approximations is infinite and hence a widening is incorporated in the generalisation to ensure termination. An algorithm for partial evaluation of logic programs, enhanced with regular approximations, along with some examples of its use will be presented.
HRM Practices, Job Satisfaction and Intention to Stay: A Study of a Private College in Penang

The purpose of this study is to identify the relationship between HRM practices, job satisfaction and intention to stay. HRM practices specifically addressed five dimensions; compensation and benefits, training and development, performance appraisal, supervisor role and career advancement. This study involved survey of the employee in KDU College, Penang Campus. A total of 190 questionnaires were distributed to the respondents and 130 questionnaires were returned and useable. The data was analysed by “Statistical Package for Social Science” (SPSS Window) Version 16.0. Correlation and multiple regression analysis were used to analyse the data. The findings found that there were relationship between the independent variables (HRM practices and job satisfaction) and the dependent variable (intention to stay). The result indicated there were positive relationships between HRM practices and intention to stay, however the regression analysis result indicated only three of the HRM practices namely performance appraisal, career advancement and compensation and benefits are significant with intention to stay. It was also found that there were positive relationship between job satisfaction and intention to stay. The results shown that HRM practices influence intention to stay the most compare to job satisfaction.
Multicenter evaluation of neurofilaments in early symptom onset amyotrophic lateral sclerosis

Objective To examine neurofilament (Nf) concentrations according to symptom onset and clinical diagnostic certainty categories of amyotrophic lateral sclerosis (ALS). Methods We measured Nf light chain (NfL) and phosphorylated Nf heavy chain (pNfH) CSF and NfL serum levels in patients with ALS with first symptom onset ≤6 months (n = 54) or >6 months (n = 135) from sampling, and patients with other neurologic diseases, differential diagnoses of a motor neuron disease (MND mimics), and other MND variants to determine the diagnostic accuracy in patients with ALS with early symptom onset. Samples were received multicentric and analyzed by ELISA and Simoa platform and related to other clinical measures. Results NfL and pNfH in CSF and NfL in serum were increased in early and later symptomatic phase ALS (p < 0.0001). CSF and serum NfL and CSF pNfH discriminated patients with ALS with early symptom onset from those with other neurologic diseases and MND mimics with high sensitivity (94%, 88%, 98%, and 89%, 100%, 78%) and specificity (86%, 92%, 91%, and 94%, 90%, 98%) and did not vary between clinical diagnostic categories of ALS in the early symptomatic phase group. Baseline NfL and pNfH levels were not significantly different in patients with ALS with clinical progression to definite or probable ALS at follow-up. Conclusion The measurement of Nf has potential to enhance diagnostic accuracy of ALS in those presenting soon after symptom onset, and is measurable across multiple centers. Classification of evidence This study provides Class II evidence that CSF and serum Nf concentrations discriminate ALS with early symptom onset from other neurologic diseases.
Glutaminase 2 negatively regulates the PI3K/AKT signaling and shows tumor suppression activity in human hepatocellular carcinoma

The tumor suppressor p53 and its signaling pathway play a critical role in tumor prevention. As a direct p53 target gene, the role of glutaminase 2 (GLS2) in tumorigenesis is unclear. In this study, we found that GLS2 expression is significantly decreased in majority of human hepatocellular carcinoma (HCC). Restoration of GLS2 expression in HCC cells inhibits the anchorage-independent growth of cells and reduces the growth of HCC xenograft tumors. Interestingly, we found that GLS2 negatively regulates the PI3K/AKT signaling, which is frequently activated in HCC. Blocking the PI3K/AKT signaling in HCC cells largely abolishes the inhibitory effect of GLS2 on the anchorage-independent cell growth and xenograft tumor growth. The GLS2 promoter is hypermethylated in majority of HCC samples. CpG methylation of GLS2 promoter inhibits GLS2 transcription, whereas reducing the methylation of GLS2 promoter induces GLS2 expression. Taken together, our results demonstrate that GLS2 plays an important role in tumor suppression in HCC, and the negative regulation of PI3K/AKT signaling contributes greatly to this function of GLS2. Furthermore, hypermethylation of GLS2 promoter is an important mechanism contributing to the decreased GLS2 expression in HCC.
Ordinal Linguistic Personification as a Variant of Synesthesia

This study examines the principles underlying ordinal linguistic personification (OLP): the involuntary and automatic tendency in certain individuals to attribute animate-like qualities such as personality and gender to sequential linguistic units (e.g., letters, numerals, days, months). This article aims to provide four types of evidence that OLP constitutes a form of synesthesia and is likely to have the same neurodevelopmental basis. We show that (a) OLP significantly co-occurs with other variants of synesthesia, (b) OLP associations (like those of synesthesia) are highly consistent over time (Experiment 1), (c) OLP associations (like those of synesthesia) have the characteristic of letter-to-word transference (i.e., they spread from initial letters throughout words) (Experiment 2), and (d) OLP associations (like those of synesthesia) are automatically generated and interfere in Stroop-type tasks (Experiment 3). We argue that these shared characteristics suggest a unified underlying behavior, and propose OLP as a subtype of synesthesia. In so doing, our study extends the range of reported phenomena that are known to be susceptible to cross-modal association.
The Mispricing Return Premium

We show that, when stock prices are subject to stochastic mispricing errors, expected rates of return may depend not only on the fundamental risk that is captured by a standard asset pricing model, but also on the type and degree of asset mispricing, even when the mispricing is zero on average. Empirically, the mispricing induced return premium, either estimated using a Kalman filter or proxied by the volatility and variance ratio of residual returns, is shown to be significantly associated with realized risk-adjusted returns. The Author 2010. Published by Oxford University Press on behalf of The Society for Financial Studies. All rights reserved. For Permissions, please e-mail: journals.permissions@oxfordjournals.org. , Oxford University Press.
Functional analysis of drug resistance‐associated mutations in the T rypanosoma brucei adenosine transporter 1 (TbAT1) and the proposal of a structural model for the protein

The Trypanosoma brucei aminopurine transporter P2/TbAT1 has long been implicated in the transport of, and resistance to, the diamidine and melaminophenyl arsenical classes of drugs that form the backbone of the pharmacopoeia against African trypanosomiasis. Genetic alterations including deletions and single nucleotide polymorphisms (SNPs) have been observed in numerous strains and clinical isolates. Here, we systematically investigate each reported mutation and assess their effects on transporter function after expression in a tbat1−/− T. brucei line. Out of a set of six reported SNPs from a reported ‘resistance allele’, none significantly impaired sensitivity to pentamidine, diminazene or melarsoprol, relative to the TbAT1‐WT allele, although several combinations, and the deletion of the codon for residue F316, resulted in highly significant impairment. These combinations of SNPs, and ΔF316, also strongly impaired the uptake of [3H]‐adenosine and [3H]‐diminazene, identical to the tbat1−/− control. The TbAT1 protein model predicted that residues F19, D140 and F316 interact with the substrate of the transporter. Mutation of D140 to alanine resulted in an inactive transporter, whereas the mutation F19A produced a transporter with a slightly increased affinity for [3H]‐diminazene but reduced the uptake rate. The results presented here validate earlier hypotheses of drug binding motifs for TbAT1.