Miracle-dz/UniFAR-FTUs huggingface dataset:
COMMON SUBSPACES OF LP-SPACES

For n > 2 , p < 2 , and q > 2 does there exist an «-dimensional Banach space different from Hubert spaces which is isometric to subspaces of both Lp and Lq ? Generalizing the construction from the paper Zonoids whose polars are zonoids by R. Schneider (Proc. Amer. Math. Soc. 50 (1975), 365368) we give examples of such spaces. Moreover, for any compact subset Q of (0, oo)\{2fe, k £ N} we can construct a space isometric to subspaces of Lq for all q e Q simultaneously.
Deregulating Teacher Labor Markets

A common feature of public sector labor markets is the use of pay scales. This paper examines how the removal of pay scales impacts productivity, by exploiting a reform that compelled all schools in England to replace pay scales with school-designed performance related pay schemes. We find that schools in labor markets with better outside options for teachers saw relatively higher increases in teacher pay. Schools in these areas relatively increase their spending on teachers, have higher teacher retention and larger improvements in student tests scores. These effects are largest in schools with the high proportions of disadvantaged students. We conclude that the pay rigidities in the form of centralized pay schedules result in a misallocation of resources, by preventing such schools from retaining their teachers.
Human-Agent Teaming - an Evolving Interaction Paradigm: An Innovative Measure of Trust

The promise of intelligent decision support systems is presented as a harbinger for humankind. With the potential partnership between the human and autonomous system we could see a significant increase in effectiveness and safety. However, as we see both human and agent team members being integrated we must investigate ways in which we can assess not only the interaction between the two actors, but also the very nature of trust perceived by the human. In this paper we present early findings of an experiment that examines the human-autonomy interaction across different frameworks of authority; from manual to fully autonomous. Participants were asked to interact with a ground control station that supervised several unmanned systems, and presented with goals that required manually selecting or approving assets to achieve mission goals. The use of neuroimaging (in this instance Functional Near Infrared Spectroscopy - fNIRS) was used to establish neuro-correlates of trust within the prefrontal cortical region of the brain. Initial findings suggest that the dorsolateral prefrontal cortical region of the brain is heavily associated when humans are confronted with different levels of authority with human-autonomy interaction.
X-ray Spectral Analysis of the Active Galaxy Mrk

This study attempts to find a model describing the X-ray spectral features of Mrk 1044, using XMM-Newton data obtained between 2013-01-27 and 2013-01-29. The data was handled in XSPEC version 12.9. 0n. Mainly three models were tried: phabs(gabs(pexrav+ zbb+zgauss+zgauss+zgauss)), phabs(gabs(pexmon+zbb+zgauss+zgauss)) and phabs( pexmon+zbb+kdblur(reflionx). The latter two models were tested by varying the parameters between frozen to a chosen value and free to adjust when fitting the model. The fits of the models were evaluated through comparing the χ values and the degrees of freedom (DOF). Two variations of the phabs(gabs(pexmon+zbb+zgauss+zgauss)) model gave good statistical fits, though the parameters assumed values that are physically unreasonable. From analyzing Mrk 1044’s X-ray spectrum, it seems that there are features that do not combine with the theoretical predictions. The main issues are unpredicted features in the soft excess, maybe an absorption edge, and that there seem to be emission lines at unexpected energies. The data also lacks an Fe Kα line at 6.4 keV. The conclusion drawn from this study is that it would be of interest to continue the attempts to fit a model to this data, in order to find out whether the features seen in the spectrum are compatible with the theory or not. If the conclusion would be drawn that they are not, further investigation of whether or not that depends on observational errors is needed.
Building a Method for Writing Clinical Judgment Items for Entry-Level Nursing Exams

Clinical judgment has become an increasingly important aspect of modern health service professionals. To ensure public safety, licensure exams must go beyond assessing only knowledge and skills when evaluating entry-level professions to evaluating clinical judgment. This importance necessitates licensure and certification examinations in these professions to evaluate the extent to which this domain can be measured. This study will provide background of a large-scale licensure examination’s process for measuring clinical judgment in entry-level nursing. As clinical judgment is seen to be a higherorder, more complex construct than measuring basic knowledge, an outline of the process that was used to develop the construct and build items to a specific task model will be highlighted. In accordance with existing adult learning theories and contemporary nurse program delivery, the process of specifying the requisite cognitive theories guiding nursing practice will be elucidated and interwoven with the item development discussion. The item writing and review process will be described in detail and would be generalizable to professions outside of nursing.
Role of Ultraviolet-B Irradiance and Vitamin D in Reducing Risk of Cancer

The evidence that ultraviolet-B irradiance and vitamin D reduce the risk of cancer comes from many types of studies. The UVB-vitamin D-cancer hypothesis was developed based on finding an inverse correlation between annual sunlight doses and colon cancer mortality rates in the United States. Subsequent single-country geographical ecological studies extended the hypothesis to nearly 20 types of cancer. Observational studies have provided some support for the hypothesis, especially for breast and colorectal cancer. One problem with observational studies is that when nested casecontrol studies are derived from cohort studies, serum 25-hydroxyvitamin D levels at the time of enrollment are used. Since serum 25(OH)D levels change with time, studies with long follow-up times tend to underestimate the effect of vitamin D. Studies of cancer survival with respect to serum 25(OH)D level at time of diagnosis have provided good evidence of beneficial effects for a number of cancer types. Randomized controlled trials have not been conducted properly to test the hypothesis. Two of the most prominent studies used vitamin D and calcium supplementation, making it difficult to separate the effects of the two substances. The mechanisms whereby vitamin D reduces the risk of cancer incidence, progression and metastasis have been studied extensively. Such studies have investigated cell cycle control mechanisms and apoptosis, cellular stress, DNA damage and repair, proliferation and telomerase, alterations in cellular microenvironment promoting angiogenesis and metastasis, interactions with growth factors that mediate transformation, cell adhesion, invasion and metastasis, and inflammation. The scientific evidence regarding whether vitamin D can be considered a causal factor in reducing risk  Corresponding author: William B. Grant. Sunlight, Nutrition and Health Research Center, San Francisco, California, US. E-mail: wbgrant@infionline.net. No part of this digital document may be reproduced, stored in a retrieval system or transmitted commercially in any form or by any means. The publisher has taken reasonable care in the preparation of this digital document, but makes no expressed or implied warranty of any kind and assumes no responsibility for any errors or omissions. No liability is assumed for incidental or consequential damages in connection with or arising out of information contained herein. This digital document is sold with the clear understanding that the publisher is not engaged in rendering legal, medical or any other professional services. William B. Grant and Meis Moukayed 150 of cancer can be evaluated using Hill’s criteria for causality in a biological system. The important criteria include strength of association, consistent findings in different populations, biological gradient, plausibility (e.g., mechanisms), experiment (e.g., randomized controlled trial), and analogy. The evidence to date largely satisfies these criteria for several types of cancer. Ongoing research will undoubtedly strengthen the evidence in the near future.
Controlled ovarian stimulation in women

The design of effective ovarian stimulation therapy requires knowledge of basic concepts of follicular dynamics and of the respective roles of FSH and LH in regulating the development of a single ovulatory follicle in the spontaneous ovarian cycle. Although FSH and LH are of paramount importance to the regulation of follicular development and ovulation, gonadotrophin action depends vitally on locally produced steroidal and nonsteroidal factors that mediate and modify the actions of FSH and LH within the ovaries. In recent years, understanding of the molecular and cellular mechanisms underpinning gonadotrophin action on the ovaries has grown, aided by experimental work in rodent (Richards et al., 1998) and domestic animal species (Webb et al., 1999). Armed with this knowledge, and the availability of genetically engineered, pharmaceutical grade, pure FSH and LH (Howles 1996; Olivje et al., 1996), the way is open systematically to manipulate the ovarian paracrine system to achieve single or multiple ovulation according to clinical requirements (Hillier et al., 1995). This brief review summarizes the physiological principles that underpin the design of modern ovarian stimulation protocols and points the way to safer and more effective forms of treatment for the future. Spontaneous follicular development
A QUANTITATIVE INVESTIGATION OF KNOWLEDGE AND PRACTICES OF HUMAN BRUCELLOSIS IN KAJIADO COUNTY , KENYA

Human brucellosis, a neglected zoonosis is endemic in Kajiado County in both man and livestock. The Kajiado County community’s main livelihood is livestock-keeping which puts it at risk. The study objective was to determine the community’s knowledge and practices, and the association between the two in relation to brucellosis. Results revealed three predictors of practices the community undertook that put them at risk of contracting brucellosis. The predictors were respondent’s education status (p=0.002 [CI 0.272-0.749] OR 0.451), knowledge of importance of pre-purchase livestock breeding soundness (p=0.007 [CI 1.207-3.356] OR 2.013), and knowledge that livestock abortions could result in human disease (p=0.027 [CI 1.070-2.974] OR 1.783). This meant that respondents without formal education were nearly half less likely to undertake practices that prevented transmission of brucellosis than those with formal education. Respondents who knew that livestock examination was important for breeding soundness were twice more likely to engage in practices that prevented brucellosis transmission than those who did not know. Respondents who knew that livestock abortions could lead to diseases in man were nearly twice more likely to engage in practices that prevented transmission of brucellosis than those who did not know that livestock abortions could lead to diseases in man. It was concluded that the community’s knowledge and practices that promote brucellosis were inadequate. Two key recommendations were drawn. There was need to create awareness in the community on the risk factors and practices that contribute to occurrence of human brucellosis. There was need for using qualified animal health providers to mitigate the disease in animals.
The role that tuberculosis in the home plays in the incidence of multidrug-resistant tuberculosis *

Background: Multidrug Resistant Tuberculosis (MDR-TB) is a matter of worldwide concern. Identifying risk factors related to its development may contribute to controlling this public health problem. Objective: To determine whether presence of tuberculosis (TB) in the home is a risk factor for the appearance of MDR-TB. Methods: A retrospective, population-based, case-control study was conducted. Multidrug resistance was defined as resistance to at least rifampin and isoniazid, and susceptible TB (cases in which the first treatment had been given during the same period as the first treatment given to the MDR-TB cases, but which were disease free at the time of the interview). Selection of cases was made based upon records of susceptibility tests carried out at the Laboratório Central de Saúde Pública of the state of Ceará from 1990 to 1999. The proportion method was used. Controls were selected from among bacilliferous on file in the records of the TB Control Program. The history of TB in the family was investigated. These cases were divided into three groups: MDR-TB, non-compliant TB and cured TB. Results: During the designated period, 266 cases of MDR-TB were diagnosed. We were able to locate only 153 of these patients. Of those, 19 were excluded. Therefore, the study group comprised 134 patients. We selected 185 additional patients to create a control group. Fisher’s exact test disclosed no correlation between MDR-TB and contact with other TB patients in the home (p = 0.119). Analyzing the subgroups, we found that contact with cured TB patients was correlated with susceptible TB (p < 0.0001) whereas contact with either non-compliant TB patients or MDR-TB patients in the home was correlated with MDR-TB (p < 0.016 and p < 0.03 respectively). Conclusion: Cases of MDR-TB or non-compliance with TB treatment in the home are risk factors for MDR-TB and therefore represent a public health problem.
Style Transfer from Non-Parallel Text by Iterative Matching and Translation Final Report 14 Apr 2019 Group

Style transfer is the task to change the style of text while preserving the content. Previous work applying generative models has demonstrated limitations in content preservation and grammatical accuracy. This project proposes a more effective approach by constructing a pseudo-parallel corpus and iteratively refining it by a sequence-to-sequence model. Our model was compared with three state-of-the-art approaches on two benchmark datasets, where improvements have been identified according to human evaluation on three key areas i.e. content preservation, style correctness and grammatical accuracy. This method contributes to the research on Natural Language Generation (NLG) and has potential applications in downstream tasks including paraphrase generation and formality conversion.
Condition monitoring with signal processing in wind turbines

Renewable energy sources will come at the beginnin g of the future energy resources. In particular, wind power is among the most discuss ed ources in Turkey and all over the world. In this study, a model of the three-blade horizonta l-axis wind turbine was designed. Analysis of fault, which may occur as a result of a possible bl ade deformation, was performed with the model. Comparison is provided between generator rot or speeds and torques for the states of healthy and damaged blades. Continuous wavelet tran sform (CWT) approach was adopted as the analysis method. The state of the healthy blade and the broken one were clearly identified by means of the CWT.
What are the Risk Factors for RFM and the Development of Uterine Diseases ?

 The threat of antimicrobial resistance has led to the development of a new wave of therapeutics and preventives for uterine diseases. The list includes an essential oil (carvacrol) that efficaciously cured metritis in organic dairy farms; two new vaccines for metritis (one had promising results); intravaginal lactic acid bacteria, chitosan microparticles, and recombinant IL-8 have also been explored.
DISTRIBUTED GENERATION ( DG ) PLACEMENT FOR REDUCING POWER LOSSES ON RADIAL DISTRIBUTION SYSTEM USING K-MEANS CLUSTERING METHOD

To solve power losses problem appeared on distribution system is to put distributed generation (DG). The use of DG can be the solution improving network ability from decreasing power loss, voltage profile improvements, power quality, also reliability operation. But, research shows that missing precision on DG placement can make the system get bigger loss than the system without DG. So, we need a research and planning before integrating DG to the distribution network. This paper will be using K-means Clustering method which is grouping each bus from loss sensitivity factor (LSF) characteristic operational sight and voltage deviation (dV). Using this method, DG placement for single and multi DG will be the solution repairing value of power loss. The B1 case which became the base case have total 39.2436 kW power loss. After placing single DG until multi DG based on K-means Clustering, the result shows best power loss decreasing for B case become 6.050 kW at 3 DG placing.
Simultaneous Gene Selection and Cancer Classification using Chemical Reaction Optimization

Microarray gene expression datasets comprise of a large number of genes in contrast to a small number of samples, thus having a high dimension of variables. Analysis of microarray data can lead us to many useful conclusions. In many microarray data analyses, selecting a small subset of genes which are of significance for a particular type of disease is an important issue but selection of such genes become difficult due to many irrelevant genes and noisy genes. The process of gene selection helps to extract the most informative genes, which consequently aid to build a robust prediction model using those genes. In this study, we employ a hybrid Chemical Reaction Optimization (CRO) based filter-wrapper methodology, which uses an information gain gene ranking heuristic to simultaneously extract informative gene subsets and build robust cancer classification models. The performance of the proposed method was tested on three benchmark gene expression datasets obtained from the Kent Ridge Biomedical datasets collection and the LIBSVM data repository. CRO results demonstrate its capability to select relevant genes with high confidence in comparison to the results reported earlier. Index terms Cancer Classification, Chemical Reaction Optimization, Gene Ranking Heuristics, Gene Selection.
Automated Sectionalizing Switch Optimization for Smart Grid Distribution Automation

Determination of the optimum number and placement of sectionalizing switches in Distribution Automation (DA) feeders is a very challenging task. This is an important step in the feasibility process of DA projects and one has to consider the trade-off between reliability and economics to arrive at the answer. This paper presents a novel iterative approach based on the relative reduction in the normalized customer interruption costs for the optimal switch number and placement problem. An iterative algorithm is constructed which minimizes the total interruption costs at each step of the analysis to arrive at the solution. The proposed method has been successfully implemented to develop the DA system design for Guam Power Authority (GPA) Smart Grid Initiative project. As GPA’s distribution system information is confidential, the proposed strategy is implemented on IEEE 34-bus and 123-bus test feeders to demonstrate the effectiveness of the proposed approach. The mathematical model is developed in Matlab and the results show the computational robustness and efficacy of the solution.
Multi-time-scale hydroclimate dynamics of a regional watershed and links to large-scale atmospheric circulation

In the present context of global changes, considerable efforts have been deployed by the hydrological scientific community to improve our understanding of the impacts of climate fluctuations on water resources. Both observational and modeling studies have been extensively employed to characterize hydrological changes and trends, assess the impact of climate variability or provide future scenarios of water resources. In the aim of a better understanding of hydrological
Stem respiration and chemical composition in Dalbergia Odorifera plantations differing in soil moisture content

Few study examined the possible influence of artificially altering soil moisture content on stem respiration (Rs) and stem chemical composition together, we artificially simulated four soil moisture gradients in Dalbergia odorifera (D. odorifera) plantations and investigated Rs, predawn shoot water potential (ψpd), nitrogen content, and non-structural carbohydrates (NSCs) over time. Stem temperature (Ts) and Rs declined continuously during the dry period and reached their minimum values in January. Irrigation increased the Rs rate, while drought decreased it. The nitrogen content of the sapwood remained constant until December, after which it decreased when winter began. During the winter, the sapwood nitrogen increased under irrigation but Seite 348 ZY Cui, ZJ Yang, DP Xu, RC Xi, NN Zhang, XJ Liu & Z Hong decreased under drought conditions. The soluble sugars tended to increase during the dry period at the cost of starch, which caused a small but non-significant increase in NSCs. The effect of water treatments on total NSCs was limited; however the drought treatments increased the soluble sugars content but decreased the starch content. Rs explained 49, 72 and 40% of the seasonal variation in the stem nitrogen, starch and soluble sugars, respectively. The ψpd significantly explained 49, 79 and 85% of the variation in the Rs, stem starch and soluble sugars, respectively. Thus, soil moisture content likely affects Rs by affecting the amount of sapwood nitrogen, starch and soluble sugars. Low soil moisture content induced by drought enhanced the transformation of starch to soluble sugars during the winter, when heartwood formed. These strong relationships may provide interesting implication for future study on heartwood formation.
Java source code model XML web descriptor model Model Discovery Model Discovery Transformation A Integration web security model Analysis Application level Model Level

The widespread use of Java EE web applications as a means to provide distributed services to remote clients imposes strong security requirements, so that the resources managed by these applications remain protected from unauthorized disclosures and manipulations. For this purpose, the Java EE framework provides developers with mechanisms to define access-control policies. Unfortunately, the variety and complexity of the provided security configuration mechanisms cause the definition and manipulation of a security policy to be complex and error prone. As security requirements are not static, and thus, implemented policies must be changed and reviewed often, discovering and representing the policy at an appropriate abstraction level to enable their understanding and reenginering appears as a critical requirement. To tackle this problem, this paper presents a (model-based) approach aimed to help security experts to visualize, (automatically) analyse and manipulate web security policies.