Miracle-dz/UniFAR-FTUs huggingface dataset:
Substance screening and referral for substance abuse treatment in an integrated mental health care program.

OBJECTIVE This study examined rates of substance screening and referral for substance abuse treatment as part of an integrated care program providing mental health services to low-income patients in primary care. METHODS Adults (N=11,150) who were enrolled in the program between 2008 and 2010 were included. Primary outcomes included substance screening rates, treatment referral rates, and correlates of accessing recommended treatment. RESULTS A total of 7,513 (67%) participants were screened for substance abuse. Among the 2,856 (38%) participants with a positive screen, 1,344 (47%) were referred for treatment. After adjustment for covariates, accessing recommended treatment was associated with past substance abuse treatment history, alcohol use, heavy drug use, posttraumatic stress disorder, and number of follow-up contacts with a care manager. CONCLUSION This study of a vulnerable population highlights missed opportunities for identifying and referring patients in primary care to substance abuse treatment.
CHROMOSOME ABERRATIONS IN RADIATION WORKERS.

Recently published discussions of the possible role of chromosome aberrations in leukemogenesis (1) and aging (2) suggest that an increase in the frequency of such aberrations may carry with it an increased risk of illness. It is of more than academic interest, therefore, that some radiation workers do show a higher frequency of chromosome aberrations than is found in a comparable group taken from the population at large (3). In the present report we present data on chromosome aberrations in thirty-six radiation workers, thirty-three of whom have lifetime exposure doses in excess of 10 r. The frequency of chromosome aberrations in this group is significantly higher than in a control group despite the fact that the radiation was accumulated over many years at a median dose rate only about ten times the natural background radiation.
Genome signature based sequence comparison for taxonomic assignment and tree inference

____________________________________________________________ vii Kurzfassung ___________________________________________________________ ix Acknowledgements _____________________________________________________ xi Table Index __________________________________________________________ xvii Figure Index __________________________________________________________ xix 1 Background ________________________________________________________ 1 1.1 DNA and molecular evolution __________________________________________ 1 1.2 Prokaryotes _________________________________________________________ 4 1.3 Metagenomics ______________________________________________________ 5 1.4 Sequence comparison ________________________________________________ 7 1.4. 1 Alignment-based comparison _________________________________________________ 8 1.4. 2 Alignment-free comparison___________________________________________________ 9 1.5 Sequencing technologies and need for efficient methods ___________________ 15 1.6 Machine learning techniques __________________________________________ 16 1.6. 1 Supervised learning and support vector machines _______________________________ 17 1.6. 2 Model selection via cross-validation ___________________________________________ 20 1.6. 3 Metric learning ____________________________________________________________ 21 1.7 Addressed problems _________________________________________________ 22 1.7. 1 Taxonomic assignment of metagenome sequences ______________________________ 22 1.7. 2 Genome tree inference _____________________________________________________ 23 2 PhyloPythiaS for Taxonomic Assignment of Metagenome Sequences _________ 25 2.
A monolithic 3.7 W silicon power amplifier with 59% PAE at 0.9 GHz

Low-cost and highly-efficient RF power amplifiers with high output power are necessary for today's mobile communications. However, monolithic integrated silicon bipolar RF power amplifiers have not yet been reported operating at high power-added efficiency (PAE) around 60%. To date, only GaAs MMICs, GaAs hybrid modules or Si power-MOS modules have been reported. The reasons for this are conduction losses, switching losses and charge-storage effects of the silicon bipolar power transistor. Further, at low supply voltages around 3 V, the on-chip interstage matching circuit is critical for high PAE and high output power. This work presents an integrated 2-stage RF power amplifier for the 0.8-1 GHz band based on spiral on-chip transformers. The application target for this power amplifier IC is a GSM mobile. The chip is fabricated in a standard 25 GHz-f/sub T/, 0.8/spl mu/m, 3-layer-interconnect silicon bipolar production technology.
A new W3C markup standard for text-to-speech synthesis

A new set of XML-based markup standards developed for the purpose of enabling voice browsing of the Internet are emerging from the Voice Browser working group, organized under the auspices of the W3C. Among the first in this series of specifications is the speech synthesis text markup standard. The Speech Synthesis Markup Language (SSML) specification is largely based on Java Speech Markup Language (JSML), but also incorporates elements and concepts from SABLE, previously published text markup standards, and from Voice eXtensible Markup Language (VoiceXML), which is itself based on JSML and SABLE. SSML also includes new elements designed to optimize the capabilities of contemporary speech synthesis engines in the task of converting text into speech. This paper summarizes the markup element design philosophy and includes descriptions of each of the speech synthesis markup elements.
Modeling and testing of EVs — Preliminary study and laboratory development

Electric vehicles (EVs) are expected to play a key role in the future energy management system to stabilize both supply and consumption with the presence of high penetration of renewable generation. A reasonably accurate model of battery is a key element for the study of EVs behavior and the grid impact at different geographical areas, as well as driving and charging patterns. Electric circuit model is deployed in this work to represent the electrical properties of a lithium-ion battery. This paper reports the preliminary modeling and validation work based on manufacturer data sheet and realistic tests, followed by the suggestions towards a feasible battery model for further studies.
Modulation of the intracellular accumulation of saquinavir in peripheral blood mononuclear cells by inhibitors of MRP1, MRP2, P-gp and BCRP

Background:The efflux transporters P-glycoprotein (P-gp), multidrug resistance-associated proteins (MRP) and breast cancer resistance protein (BCRP) limit the accumulation of antiretrovirals in cell lines but it is more important to know whether the expression of these transporters in peripheral blood mononuclear cells (PBMC) impacts cellular drug concentrations. Objectives:To study the transport and accumulation of saquinavir (SQV) in PBMC and the effects of specific inhibitors of MRP1, MRP2, P-gp and BCRP. Methods:Transport and accumulation of [3H]-SQV was measured in PBMC in the absence or presence of specific and non-specific inhibitors of MRP1, MRP2, P-gp and BCRP. Flow cytometric, western blot and real-time PCR assays were used to examine the relative expression of the drug efflux transporters in the same batches of PBMC. Results:MRP2 is present in PBMC. The expression of P-gp, MRP1, MRP2 (mRNA) and BCRP all displayed batch-to-batch variability. Specific and non-specific inhibitors of MRP1, P-gp and MRP2 significantly increased the baseline accumulation of SQV. Accumulation of SQV was not correlated with the expression of any single transporter. Conclusions:Multiple drug efflux transporters are important in the intracellular accumulation of SQV in PBMC. If drug efflux contributes towards virological failure, then all contributing transporters will need to be inhibited.
Polymorphic Chromosomes Bearing the Tox2 Locus in Cochliobolus carbonum Behave as Homologs during Meiosis

The HTS1 gene in the Tox2 locus of the fungal pathogen Cochliobolus carbonum race 1 is required for synthesis of a host-selective phytotoxin and for increased virulence on susceptible genotypes of maize. The locus is present in race 1 isolates but absent from isolates of the other races, which do not produce the toxin. By pulsed-field gel electrophoresis and Southern analysis with HTS1 sequences and chromosome-specific markers, the HTS1 gene was detected on a 4-Mb chromosome in one group of isolates and on a 2.3-Mb chromosome in another group, which lacked the 4-Mb chromosome. A chromosome-specific marker from C. heterostrophus hybridized to a 2.3-Mb chromosome in non-toxin-producing isolates and in toxin-producing isolates, including those with a 4-Mb chromosome. A marker from C. carbonum hybridized to the 4-Mb chromosome, but in isolates lacking the 4-Mb chromosome, this marker hybridized to a smaller, 2.0-Mb chromosome. Thus, the Tox2 locus is on different chromosomes in different groups of race 1 isolates. Single ascospore progeny from crosses between isolates having HTS1 on different chromosomes were analyzed for toxin-producing ability, virulence, and the presence and chromosomal location of HTS1. All progeny produced HC toxin in culture, incited race 1-type lesions on susceptible maize genotypes, and contained HTS1 sequences, as determined by PCR amplification with gene-specific primers. Analysis of the chromosomal complements of several progeny indicated that they all had only one Tox2-containing chromosome. Thus, despite their differences in size, these chromosomes behave as homologs during meiosis and may have arisen by a translocation.
Retail Zone Pricing and Simulated Price Effects of Upstream Mergers

Abstract Despite the oft‐recognized reality of zone pricing by food retailers, this form of price discrimination has received very little attention within the context of upstream merger analysis. Promoting this issue to ‘center stage’, we relax the conventional merger simulation assumption of uniform pass‐through by retailers. Relaxing this assumption allows us to explore the potential impacts of zone pricing on post‐merger price effects. Using the ready‐to‐eat cereals industry as a backdrop, we show empirically that high‐income price zones are more significantly affected by post‐merger price increases than low‐income price zones. Ignoring retail price discrimination veils a potentially complex and diverse set of price effects that are otherwise lost by averaging across all price zones.
Modelling for Automated Lip-Reading using Weighted Finite-State Transducers

Automated lip-reading involves recognising speech from only the visual signal. The accuracy of current state-ofthe-art lip-reading systems is significantly lower than that obtained by acoustic speech recognisers. These poor results are most likely due to the lack of information about speech production that is available in the visual signal: for example, it is impossible to discriminate voiced and unvoiced sounds, or many places of articulation, from visual signals. Our approach to this problem is to regard the visual speech signal as having been produced by a speaker who has a reduced phonemic repertoire and to attempt to compensate for this. In this respect, visual speech is similar to dysarthric speech, which is produced by a speaker who has poor control over their articulators, leading them to speak with a reduced and distorted set of phonemes. In previous work, we found that the use of weighted finite-state transducers improved recognition performance on dysarthric speech considerably. In this paper, we report the results of applying this technique to lip-reading. The technique works, but our initial results are not as good as those obtained by using a conventional approach, and we discuss why this might be so and what the prospects for future investigation are.
Pathogenetic aspects of responsiveness to ondansetron (5-hydroxytryptamine type 3 receptor antagonist) in patients with primary fibromyalgia syndrome--a preliminary study.

OBJECTIVE To study the efficacy of 5-hydroxytryptamine type 3 receptor (5-HT-3R) antagonist (ondansetron) vs paracetamol in primary fibromyalgia (FM) syndrome. METHODS A double blind, crossover, latin square study of 21 patients with FM. Visual analog scale (VAS) and body drawings were used to record pain intensity. Functional symptoms were determined for using a Likert-type self-developed protocol. Quantitative dolorimetry was applied to assess the number of painful tender points and the average pain threshold. Serum serotonin levels were measured by a commercial ELISA. RESULTS A marked improvement in pain intensity measured by VAS (p < 0.005), pain score (p < 0.05), tender points (p < 0.05), and average pain threshold (p < 0.01) was obtained with ondansetron, whereas no improvement was seen with paracetamol. After ondansetron treatment, there was also significant reduction in both functional symptoms (p < 0.01) and headache intensity (p < 0.05). In patients who did not respond to ondansetron there was higher baseline pain intensity measured by VAS (p < 0.05) and pain score (p < 0.01), and a lower pain threshold (p < 0.05) compared to those who did respond well. In the responsive group, no significant differences were seen in the serotonin level before and after therapy. Whereas a significant increase in serum serotonin concentration (p < 0.01) was observed in nonresponders after ondansetron treatment. CONCLUSION Ondansetron appears to be an effective drug in about 50% of patients with FM. There may be 2 subsets of patients with FM that differ clinically and pathogenetically with regard to the disturbance in the 5-HT-3R system.
A High-Dynamic-Range Optical Remote Sensing Imaging Method for Digital TDI CMOS

The digital time delay integration (digital TDI) technology of the complementary metal-oxide-semiconductor (CMOS) image sensor has been widely adopted and developed in the optical remote sensing field. However, the details of targets that have low illumination or low contrast in scenarios of high contrast are often drowned out because of the superposition of multi-stage images in digital domain multiplies the read noise and the dark noise, thus limiting the imaging dynamic range. Through an in-depth analysis of the information transfer model of digital TDI, this paper attempts to explore effective ways to overcome this issue. Based on the evaluation and analysis of multi-stage images, the entropy-maximized adaptive histogram equalization (EMAHE) algorithm is proposed to improve the ability of images to express the details of dark or low-contrast targets. Furthermore, in this paper, an image fusion method is utilized based on gradient pyramid decomposition and entropy weighting of different TDI stage images, which can improve the detection ability of the digital TDI CMOS for complex scenes with high contrast, and obtain images that are suitable for recognition by the human eye. The experimental results show that the proposed methods can effectively improve the high-dynamic-range imaging (HDRI) capability of the digital TDI CMOS. The obtained images have greater entropy and average gradients.
Legumain Forms from Plants and Animals Differ in Their Specificity

Abstract We purified forms of legumain from a plant source (seeds of kidney bean, Phaseolus vulgaris) and a mammal (kidney of pig, Sus scropha) for comparison of their properties. Both forms were found to be stable only under moderately acidic pH conditions, and were maximally active at about pH 6; the plant enzyme was somewhat less stable and had a slightly higher pH optimum. With benzyloxycarbonylXaa AlaAsnaminomethylcoumarylamide substrates, the two forms of legumain showed distinctly different specificities for the P3 residue, the plant legumain preferring amino acids with bulky hydrophobic side chains because of lower K values. Both forms of legumain were highly specific for hydrolysis of asparaginyl bonds in the arylamide substrates and in neurotensin. Aspartyl bonds were hydrolysed about 100-fold more slowly with lower pH optima. Potential substrates containing other amino acids structurally similar to asparagine were not hydrolysed. There were clear differences in specificity of hydrolysis of protein substrates. The plant legumain differed from pig legumain in its action on tetanus toxoid Cfragment, cleaving at Asn[97] but not at Asn[337], and produced more extensive digestion of phaseolin. The plant form of legumain was much more weakly inhibited by eggwhite cystatin than was the mammalian form.
Parallel Frequent Dataset Mining and Feature Subset Selection for High Dimensional Data on Hadoop using MapReduce

Data mining mostly use for information analysis and finding frequent dataset. Now a days cloud computing is used for information storage and many other data processes like data mining, data retrieval, data distribution etc. As data increasing very rapidly on server day by day, many complications are introduced. Most common problems are load balancing on server and time optimization. To overcome these limitations parallel frequent dataset mining is very effective method. Fidoop parallel frequent dataset mining algorithm which is based on mapreduce framework helps to improve load balancing and FiDoop-HD, speed up the mining performance for high-dimensional data analysis. Fidoop is very efficient and scalable algorithm for large clusters of data.We are using Fast Clustering Based Feature Selection Algorithm for High Dimensional Data which uses minimum spanning tree (MST) to divide data into different clusters and unfasten unrelated sets and gives accurate and efficient result with similar sets.
0 Functional Data Analysis for Biomechanics

The application of nonlinear tools and advanced statistical methods is becoming more prevalent in biomechanical analyses. In a traditional biomechanics laboratory with motion analysis equipment, large amounts of kinematic data can be collected relatively easily. However, a significant gap exists between all the data that are collected and the data that are actually analyzed. Because movements occur over a period of time, whether seconds or minutes, each movement is represented by a continuous series of kinematic data (e.g., 60 or 120 observations per second). Using standard analytic methods, the continuous data associated with each movement are often reduced to a single discrete number. This reduction to a single summary value, such as a peak flexion, extension, or range of motion, excludes potentially valuable information. Reducing a curve representing hip motion during gait to a single range of motion value, for example, precludes the analysis of the entire movement pattern or the timing of the movement. A handful of investigations have recognized this limitation and have begun using functions to maintain the shape and timing of the movement in the analysis. The primary purpose of this chapter is to introduce an emerging collection of statistical methods called Functional Data Analysis (FDA). FDA is distinct from traditional analytic methods because how data changes continuously over time can be assessed. Therefore, information in continuous signals can be retained, such as changes in joint angles or in landmark positions during a movement task. FDA can be used for both exploratory and hypothesis driven analyses with traditional multivariate statistical methods that have been modified for functional predictor and response variables. Although representing motion data as a set of functions is not new to biomechanics analyses (Chester & Wrigley, 2008; Deluzio & Astephen, 2007; Landry et al., 2007; Lee et al., 2009; Sadeghi et al., 2002; 2000), statistical methods developed specifically for analyzing these functions have not been available. More recently, FDA methods have been used within biomechanics to study mastication (Crane et al., 2010), back pain (Page et al., 2006), as well as age, gender, and speed effects on walking (Røislien et al., 2009). Given the interest in and need for treating motion data as functions, it is important that methods for analyzing a set a functions using emerging statistical methods are brought to the attention of those in the biomechanics community. Although several excellent references exist for Functional Data Analysis (Ramsay, 2000; Ramsay et al., 2009; Ramsay & Silverman, 2002; 2005) there are important issues for biomechanists to be aware of when implementing this set of statistical tools. Therefore, the aims of this chapter are to provide an overview of the steps associated with FDA, to focus on 4
Changes in hemostatic parameters after oral and transdermal hormone therapy in postmenopausal women

Hormone therapy (HT) can be prothrombotic risk factor. We compared the effects of oral HT (o-HT) and transdermal HT (t-HT) on the kinetic of clot formation and fibrinolysis in postmenopausal women after 6 months HT using a multiparameter test. We observed that after HT, the level of fibrinogen was higher than in controls (Fg 3.12 g/l vs. 4.24 g/l (o-HT); 3,7 g/l (t-HT); p < 0.001) and values of velocity of polymerization in o-HT group were increased (95.84 mOD/min vs. 146.50 mOD/min, p < 0.001) compared to controls. Maximum absorbance of formed clots was higher in o-HT group (0.279 vs. 0.312, p < 0.001) than in controls, but in t-HT group was lowest (0.268). Fibrin lysis half-time increased in both HT groups (controls 17.16 min vs. 31.43 min (o-HT); 23.34 min (t-HT) p < 0.001) compared to values in controls. The results of our study show that o-HT caused the changes in clot formation and fibrinolysis than t-HT in postmenopausal women. The increased level of fibrinogen and its accelerated kinetics of polymerization as well as a lower rate of clot lysis may partly explain the increase in venous thrombosis and cardiovascular events reported after the use of HT, especially the oral form of that.
Autoxidation of Unsaturated Lipids in Food Emulsion

Unsaturated lipids having various physiological roles are of significance in biochemistry, nutrition, medicine, and food. However, the susceptibility of lipids to oxidation is a major cause of quality deterioration in food emulsions. The reaction mechanism and factors that influence oxidation are appreciably different for emulsified lipids and bulk lipids. This article gives a brief overview of the current knowledge on autoxidation of oil-in-water food emulsions, especially those that contain unsaturated lipids, which are important in the food industry. Autoxidation of unsaturated lipids in oil-in-water emulsion is discussed, and so also their oxidation mechanism, the major factors influencing oxidation, determination measures, research status, and the problems encountered in recent years. Some effective strategies for controlling lipid oxidation in food emulsion have been presented in this review.
Computation Patterns Identification for Instruction Set Extensions Implemented as Reconfigurable Hardware

A leadless battery operated cardiac pacemaker is embodied in a small disc-like case for attachment beneath the pericardium directly to the heart muscle. One electric lead is curled and serves also as a means for both physically and electrically attaching the case to the heart muscle. The other lead surrounds the one lead and is drawn into surface to surface electric contact with body tissue to close the circuit. Solid state redundant circuitry makes provision to serve as a safety feature against possible malfunction.