Miracle-dz/UniFAR-FTUs huggingface dataset:
London Patient Choice Project Evaluation: A model of patients’ choices of hospital from stated and revealed preference choice data

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Fault Diagnosis of Railway Rolling Stock Based on SOUPA Ontology

Based on SOUPA ontology, Description Logic reasoner is adopted in fault diagnosis for railway rolling stock. Condition analyzer which performs on-board fault detection and classification for Our system is engineered to run on embedded devices that meet stringent railway regulations for on-board deployment, and thus it witnesses the feasibility of ontology-based approaches for the implementation of intelligent information systems even in contexts where memory and processing resources come at a premium.
Dynamic-Model-Based Method for Selecting Significantly Expressed Genes From Time-Course Expression Profiles

This paper proposes a dynamic-model-based method for selecting significantly expressed (SE) genes from their time-course expression profiles. A gene is considered to be SE if its time-course expression profile is more likely time-dependent than random. The proposed method describes a time-dependent gene expression profile by a nonzero-order autoregressive (AR) model, and a time-independent gene expression profile by a zero-order AR model. Akaike information criterion (AIC) is used to compare the models and subsequently determine whether a time-course gene expression profile is time-independent or time-dependent. The performance of the proposed method is investigated on both a synthetic dataset and a real-life biological dataset in terms of the false discovery rate (FDR) and the false nondiscovery rate (FNR). The results show that the proposed method is valid for selecting SE genes from their time-course expression profiles.
Environmental and dietary estrogens and human health: is there a problem?

It has been hypothesized that organochlorine pesticides and other environmental and dietary estrogens may be associated with the increased incidence of breast cancer in women and decreased sperm concentrations and reproductive problems in men. However, elevation of organochlorine compounds such as dichlorodipehenyldichloroethylene (DDE) and polychlorinated biphenyls (PCBs) in breast cancer patients is not consistently observed. Reanalysis of the data showing that male sperm counts decreased by over 40% during 1940 to 1990 indicated that inadequate statistical methods were used and that the data did not support a significant decline in sperm count. Humans are exposed to both natural and industrial chemicals which exhibit estrogenic and antiestrogenic activities. For example, bioflavonoids, which are widely distributed in foods, and several industrial compounds, including organochlorine pesticides and various phenolic chemicals, exhibit estrogenic activity. Humans are also exposed to chemicals which inhibit estrogen-induced responses such as the aryl hydrocarbon receptor (AhR) agonist 2,3,7,8-tetrachlorodibenzo-p-dioxin and related chlorinated aromatics, polynuclear aromatic hydrocarbon combustion products, and indole-3-carbinol, which is found in cruciferous vegetables. Many of the weak estrogenic compounds, including bioflavonoids, are also antiestrogenic at some concentrations. A mass balance of dietary levels of industrial and natural estrogens, coupled with their estimated estrogenic potencies, indicates that the dietary contribution of estrogenic industrial compounds is 0.0000025% of the daily intake of estrogenic flavonoids in the diet. (ABSTRACT TRUNCATED AT 250 WORDS) Imagesp346-aFigure 1.Figure 2.
Embedded design of position based impedance force control for implementing interaction between a human and a ROBOKER

This paper presents the implementation of an embedded design of the position based impedance controller for interaction between robot and human. The robot, called ROBOKER, has two arms. An impedance force controller is designed on an FPGA chip along with a robust position controller. Force induced by human is applied to the robot manipulator to react. Force by human is filtered by impedance function to generate desired position for the robot to follow. Experimental studies of a hand-shaking task are conducted.
A review of speech-based bimodal recognition

Speech recognition and speaker recognition by machine are crucial ingredients for many important applications such as natural and flexible human-machine interfaces. Most developments in speech-based automatic recognition have relied on acoustic speech as the sole input signal, disregarding its visual counterpart. However, recognition based on acoustic speech alone can be afflicted with deficiencies that preclude its use in many real-world applications, particularly under adverse conditions. The combination of auditory and visual modalities promises higher recognition accuracy and robustness than can be obtained with a single modality. Multimodal recognition is therefore acknowledged as a vital component of the next generation of spoken language systems. The paper reviews the components of bimodal recognizers, discusses the accuracy of bimodal recognition, and highlights some outstanding research issues as well as possible application domains.
A simple sketching algorithm for entropy estimation over streaming data

We consider the problem of approximating the empirical Shannon entropy of a highfrequency data stream under the relaxed strict-turnstile model, when space limitations make exact computation infeasible. An equivalent measure of entropy is the Renyi entropy that depends on a constant α. This quantity can be estimated efficiently and unbiasedly from a low-dimensional synopsis called an α-stable data sketch via the method of compressed counting. An approximation to the Shannon entropy can be obtained from the Renyi entropy by taking α sufficiently close to 1. However, practical guidelines for parameter calibration with respect to α are lacking. We avoid this problem by showing that the random variables used in estimating the Renyi entropy can be transformed to have a proper distributional limit as α approaches 1: the maximally skewed, strictly stable distribution with α = 1 defined on the entire real line. We propose a family of asymptotically unbiased log-mean estimators of the Shannon entropy, indexed by a constant ζ > 0, that can be computed in a single-pass algorithm to provide an additive approximation. We recommend the log-mean estimator with ζ = 1 that has exponentially decreasing tail bounds on the error probability, asymptotic relative efficiency of 0.932, and near-optimal computational complexity. Appearing in Proceedings of the 16 International Conference on Artificial Intelligence and Statistics (AISTATS) 2013, Scottsdale, AZ, USA. Volume 31 of JMLR: W&CP 31. Copyright 2013 by the authors.
Supplement to " An Iterative Smoothing Algorithm for Regression with Structured Sparsity "

High-dimensional prediction models are increasingly used to analyze biological data such as neuroimaging of genetic data sets. However, classical penalized algorithms yield to dense solutions that are difficult to interpret without arbitrary thresholding. Alternatives based on sparsity-inducing penalties suffer from coefficient instability. Complex structured sparsity-inducing penalties are a promising approach to force the solution to adhere to some domain-specific constraints and thus offering new perspectives in biomarker identification. We propose a generic optimization framework that can combine any smooth convex loss function with: (i) penalties whose proximal operator is known and (ii) with a large range of complex, non-smooth convex structured penalties such as total variation, or overlapping group lasso. Although many papers have addressed a similar goal, few have tackled it in such a generic way and in the context of high-dimensional data. The proposed continuation algorithm, called \textit{CONESTA}, dynamically smooths the complex penalties to avoid the computation of proximal operators, that are either not known or expensive to compute. The decreasing sequence of smoothing parameters is dynamically adapted, using the duality gap, in order to maintain the optimal convergence speed towards any globally desired precision with duality gap guarantee. First, we demonstrate, on both simulated data and on experimental MRI data, that CONESTA outperforms the excessive gap method, ADMM, proximal gradient smoothing (without continuation) and inexact FISTA in terms of convergence speed and/or precision of the solution. Second, on the experimental MRI data set, we establish the superiority of structured sparsity-inducing penalties ($\ell_1$ and total variation) over non-structured methods in terms of the recovery of meaningful and stable groups of predictive variables.
Presence of multimeric isoforms of human C-reactive protein in tissues and blood

The baseline concentration of C-reactive protein (CRP) has been associated with a wide array of human diseases. In epidemiological studies and in the clinic, CRP is typically measured as a pentamer, composed of 5 identical CRP subunits. The present study aimed to determine whether other isoforms were present in the blood by examining CRP conformations. Transgenic rats expressing human CRP under the mouse albumin promoter were generated and genotyped. Non-reducing western blotting was performed using the blood and tissues of transgenic rats and human patients. CRP concentrations in human blood were examined by enzyme-linked immunosorbent assay. In addition to the pentameric isoform, CRP was detected as a trimer and tetramer in the blood of human CRP transgenic rats. Furthermore, trimeric and tetrameric CRP was observed in various tissues, including aorta, liver, kidney, pancreas, heart and skeletal muscle. Notably, these two isoforms appeared to be age-associated, as they were detected only in the blood and tissues of older transgenic rats. The existence of additional CRP isoforms was confirmed in the blood of human patients by non-reducing western blotting. Clinical and epidemiological studies typically focus on CRP concentration. However, the results of the present study suggest that, in addition to concentration, CRP conformation may require analysis.
Pre-Employment Background Investigations for Public Safety Professionals

Read Pre Employment Background Investigations For Public. America Private Investigations. Pre Employment Screening Background Checks Free Legal. Legal Issues For Hr Professionals Workplace Investigations. Investigations Asi Inc. Ebi Inc Employment Background Investigations. Download Pre Employment Background Investigations For. What Is A Background Investigation Definition From. Conducting Pre Employment Background Investigations Santa. Training Gillespie Security Amp Investigations. Background Investigations Offered Datacheck Inc. Public Safety Testing Work With Us. Home The Gumshoe Group. Select Personnel Investigations. List Of Pre Employment Testing Amp Screening Panies And. Employment Background Checks May Sharpen Your Recruitment. Riley Parker Founding Member Pre Employment Profiles. Assistant Director Of Public Safety Pliance And. Background Investigations Financial Definition Of. Public Safety Testing About Us
Effects of Service Innovation on Oral Spreading and Consumption Intention in Catering Industry

The global competition has forced domestic manufacturers moving outward. Catering and service industries are then increasing the weight in domestic industrial structure. The growing production and scale of catering and service industries has exceeded the weight of manufacturing industries in advanced countries. Developing innovative activities therefore enhances the importance on national economic growth. There have been some research on Service Innovation domestically and internationally; however, the effects of Oral Spreading on the correlations between innovation and performance are little discussed. For this reason, the correlations between innovation and performance in catering industry in Taiwan are explored in this study. The customers of Grand Hi-Lai Hotel are selected as the research participants, to whom total 300 copies of questionnaires are distributed. Having deducted invalid and incomplete copies, 196 valid copies are retrieved, with the retrieval rate 65%. The research results reveal 1.partially significant correlations between Service Innovation and Oral Spreading, 2.remarkable correlations between Oral Spreading and Consumption Intention, 3.notable correlations between Service Innovation and Consumption Intention, and 4.mediating effects of Oral Spreading on the correlations between Service Innovation and Consumption Intention.
Blood pressure, arterial compliance, and left ventricular mass: no relation to small size at birth in south Indian adults

OBJECTIVE To determine whether reduced fetal growth leads to raised blood pressure, reduced arterial compliance, and increased left ventricular mass in an Indian population. DESIGN A retrospective cohort study of men and women (age range 40–61 years) whose weight, length, and head circumference at birth were recorded. SETTING The Holdsworth Memorial Hospital, Mysore, South India. SUBJECTS 435 men and women born in the hospital between 1934 and 1953. MAIN OUTCOME MEASURES Systolic and diastolic blood pressures; compliance in four arterial segments derived from pulse wave velocity, measured by a non-invasive optical method; and left ventricular mass measured using M mode echocardiography. RESULTS Small size at birth was not associated with increased adult blood pressure or left ventricular mass, or with reduced arterial compliance. Systolic blood pressure and left ventricular mass were higher in subjects who were greater in length at birth, rising by 1.64 mm Hg (95% confidence interval (CI) −0.08 to +3.37 mm Hg) and 1.63 g/m2 (95% CI 0.13 to 3.13 g/m2), respectively, per one inch (2.5 cm) increase in birth length, independently of adult size. Arterial compliance was reduced in people whose mothers were lighter and had smaller pelvic (external conjugate) diameters. CONCLUSIONS The higher prevalence of coronary heart disease in Indian men and women of lower birth weight, shown in an earlier study of the same cohort, cannot be explained by changes in blood pressure, arterial compliance, and left ventricular mass. The association of raised blood pressure and left ventricular mass with longer birth length suggests that the way in which the intrauterine environment influences coronary heart disease differs between Indian and Western populations.
Final report for Defra Research on the relationship between well-being and sustainable development

We are grateful to academic colleagues at the University of Sheffield for participating in the core group, questionnaire and workshop. We would like to that participants in the workshop from University of Leeds, Cranfield University, Sheffield Hallam University, Sheffield City Council, Global to Local and East End Quality of Life Initiative (Sheffield). We are also grateful to the Sustainable Development Research Network for circulating the questionnaire. We would like to thank Isabella Earle, Neil Witney and the steering group at Defra for their helpful comments and suggestions at various stages of this project. Although Defra has commissioned and funded this study, the views expressed in it do not necessarily reflect Defra policy.
Research and implementation of algorithms for improving surveillance video quality based on FPGA

In this paper, median filter algorithm and motion vector compensation algorithm is researched. We design and implement the algorithms on the FPGA board in detail. According to the tests and experiments, we verify the practicability of the algorithms on FPGA and video surveillance system. The algorithms will effectively increase the efficiency of late video signal processing and help the application of video enhance.
KOBITO1 Encodes a Novel Plasma Membrane Protein Necessary for Normal Synthesis of Cellulose during Cell Expansion in Arabidopsis Article, publication date, and citation information can be found at www.plantcell.org/cgi/doi/10.1105/tpc.002873.

The cell wall is the major limiting factor for plant growth. Wall extension is thought to result from the loosening of its structure. However, it is not known how this is coordinated with wall synthesis. We have identified two novel allelic cellulose-deficient dwarf mutants, kobito1-1 and kobito1-2 (kob1-1 and kob1-2). The cellulose deficiency was confirmed by the direct observation of microfibrils in most recent wall layers of elongating root cells. In contrast to the wild type, which showed transversely oriented parallel microfibrils, kob1 microfibrils were randomized and occluded by a layer of pectic material. No such changes were observed in another dwarf mutant, pom1, suggesting that the cellulose defect in kob1 is not an indirect result of the reduced cell elongation. Interestingly, in the meristematic zone of kob1 roots, microfibrils appeared unaltered compared with the wild type, suggesting a role for KOB1 preferentially in rapidly elongating cells. KOB1 was cloned and encodes a novel, highly conserved, plant-specific protein that is plasma membrane bound, as shown with a green fluorescent protein–KOB1 fusion protein. KOB1 mRNA was present in all organs investigated, and its overexpression did not cause visible phenotypic changes. KOB1 may be part of the cellulose synthesis machinery in elongating cells, or it may play a role in the coordination between cell elongation and cellulose synthesis.
Security Proof for the Improved Ryu-Yoon-Yoo Identity-Based Key Agreement Protocol

Key agreement protocols are essential for secure communications in open and distributed environments. The protocol design is, however, extremely error-prone as evidenced by the iterative process of flxing discovered attacks on published protocols. We revisit an e-cient identity-based (ID-based) key agreement protocol due to Ryu, Yoon and Yoo. The protocol is highly e-cient and suitable for real-world applications despite ofiering no resilience against key-compromise impersonation (K-CI). We then show that the protocol is, in fact, insecure against re∞ection attacks. A slight modifl- cation to the protocol is proposed, which results in signiflcant beneflts for the security of the protocol without compromising on its e-ciency. Finally, we prove the improved protocol secure in a widely accepted model.
LES Applied to Ship Research

Numerical simulations using the Reynolds Averaged Navier‐Stokes (RANS) methodology have been widely used to study fluid problems in a variety of fields including ship research. Although computationally cheap, RANS fails to predict the fluid behavior accurately in complex flow problems where the underlying physics is dominated by unsteady complex physical phenomena. This paper discusses the use of large eddy simulation (LES) to study such complex flow physics. The predictive capability of LES is demonstrated in three complex flow problems: crashback, cavitation, and hydro-acoustics, which are of particular interest to the ship community. LES results are shown to be in good agreement with experiments for the mean and root mean square values of flow quantities in all these cases.
Stock market analysis - Strongest performing stocks influence on an evolutionary market

On the stock market, it is said that the strongest stock gives the direction of those stocks that are in the same domain (IT, services, oil, and others). Determining the strongest stock plays an important part in finding a better moment to enter on a position. This paper presents a Multi-Agent architecture that combines Technical Analysis, Neural Networks and Statistical Methods in order to find the strongest stock and to make a better forecast on the market future trend and trigger an entry/exit signal based on the market basket classification. A prototype was developed and applied on the Bucharest Stock Exchange Market (BSE).
FRACTURE STRENGTH OF DIFFERENT SOLDERED AND WELDED ORTHODONTIC JOINING CONFIGURATIONS WITH AND WITHOUT FILLING MATERIAL

The aim of this study was to compare the mechanical strength of different joints made by conventional brazing, TIG and laser welding with and without filling material. Five standardized joining configurations of orthodontic wire in spring hard quality were used: round, cross, 3 mm length, 9 mm length and 7 mm to orthodontic band. The joints were made by five different methods: brazing, tungsten inert gas (TIG) and laser welding with and without filling material. For the original orthodontic wire and for each kind of joint configuration or connecting method 10 specimens were carefully produced, totalizing 240. The fracture strengths were measured with a universal testing machine (Zwick 005). Data were analyzed by ANOVA (p=0.05) and Bonferroni post hoc test (p=0.05). In all cases, brazing joints were ruptured on a low level of fracture strength (186-407 N). Significant differences between brazing and TIG or laser welding (p<0.05, Bonferroni post hoc test) were found in each joint configuration. The highest fracture strength means were observed for laser welding with filling material and 3 mm joint length (998 N). Using filling materials, there was a clear tendency to higher mean values of fracture strength in TIG and laser welding. However, statistically significant differences were found only in the 9-mm long joints (p<0.05, Bonferroni post hoc test). In conclusion, the fracture strength of welded joints was positively influenced by the additional use of filling material. TIG welding was comparable to laser welding except for the impossibility of joining orthodontic wire with orthodontic band.
Os Fatores que influenciam a Intenção de Compra das Marcas da Distribuição

This study aims to analyze and understand the process that leads to the purchase intention of the distributor brand. It starts with a literature review on the general field of brand management, perceiving for such which factors are valued by consumers and influence their purchase. It follows the perspective of the distributor, with the knowledge of its evolution, how they were developing brands with their own insignia and consequently the attitude shown by consumers compared to the values meanwhile transmitted. After the formation of the theoretical framework, the intention is to know what are the main determinants that lead to the purchase of distributor brand products. Following these assumptions, we are proposing to develop a research model attempting to evaluate what are the most relevant factors for explainning purchase intentions of distribution brands is proposed.
Dive deeper: Deep Semantics for Sentiment Analysis

This paper illustrates the use of deep semantic processing for sentiment analysis. Existing methods for sentiment analysis use supervised approaches which take into account all the subjective words and or phrases. Due to this, the fact that not all of these words and phrases actually contribute to the overall sentiment of the text is ignored. We propose an unsupervised rule-based approach using deep semantic processing to identify only relevant subjective terms. We generate a UNL (Universal Networking Language) graph for the input text. Rules are applied on the graph to extract relevant terms. The sentiment expressed in these terms is used to figure out the overall sentiment of the text. Results on binary sentiment classification have shown promising results.