Miracle-dz/UniFAR-FTUs huggingface dataset:
[Bioelectrical impedance and visceral fat: a comparison with computed tomography in adults and elderly].

OBJECTIVE To evaluate the association between electrical bioimpedance analysis (BIA) and visceral fat (VF) in adult and elderly patients. SUBJECTS AND METHODS This was a cross-sectional study, with a sample of 191 subjects (52% women, 49% elderly) stratified by sex, age and body mass. Computerized tomography (VF area) and BIA (percentage of total body fat (%TBF-BIA), phase angle, reactance and resistance) data were generated. Statistical analysis was based on Pearson's Correlation Coefficient, Anova, Pearson's Chi-square, and ROC curves. RESULTS VF areas > 130 cm² were more prevalent among the elderly and among men. Adult females showed a stronger correlation between GV and %TBF-BIA. The other groups showed similar results and statistically significant correlations. Correlations between GV and phase angle were weak and not statistically significant. ROC Curves analyzes showed the following %TBF-BIA, which identified excess VF: for male subjects: 21.5% (adults) and 24.25% (elderly); for female subjects: 35.05% (adults) and 38.45% (elderly) with sensitivity of 78.6%, 82.1%, 83.3%, and 66.7%, and specificity of 70.6%, 62.5%, 79.1%, and 69%, respectively. CONCLUSION BIA was found to have satisfactory sensitivity and specificity to predict VF; however, other devices and other techniques should be investigated to improve VF prediction.
Indoor human monitoring system using wireless and pyroelectric sensory fusion system

Indoor human monitoring is important for providing various services for individuals. In this research, we propose an indoor monitoring system based on wireless and pyroelectric infrared (WPIR) sensory fusion system which can be embedded and integrated with the traditional fire/smoke detector where they are usually installed on the ceiling by the use of pyroelectric motion sensor and low power wireless communication device.
Characterisation of site-biased DNA methyltransferases: specificity, affinity and subsite relationships.

DNA methylation is now seen as a primary signal in the cell for mediating transcriptional repression through chromatin formation. The construction and evaluation of enzymes capable of influencing this process in vivo is therefore of significant interest. We have fused the C5-cytosine DNA methyltransferases, M.HhaI and M.HpaII, which both methylate 4 bp sequences containing a CpG dinucleotide, to a three zinc finger protein recognising a 9 bp DNA sequence. DNA methylation analyses demonstrate specific DNA methylation by both enzymes at target sites comprising adjacent methyltransferase and zinc finger subsites, targeted M.HpaII being the most specific. Binding analysis of the targeted M.HpaII enzyme reveals an 8-fold preference for binding to its target site, compared to binding to a zinc finger site alone, and an 18-fold preference over binding to a methyltransferase site alone, thereby demonstrating enhanced binding by the fusion protein, compared to its component proteins. Both DNA binding and methylation are specific for the target site up to separations of approximately 40 bp between the zinc finger and methyltransferase subsites. Ex vivo plasmid methylation experiments are also described that demonstrate targeted methylation. These targeted enzymes, however, are shown to be not fully mono-functional, retaining a significant non-targeted activity most evident at elevated protein concentrations.
Pricing American Options in the Heston Model: A Close Look on Incorporating Correlation

The Binomial model and similar lattice methods are workhorses of practical derivatives valuation. But returns processes more realistic than lognormal diffusions with constant parameters easily create difficulties for them. One of the most important extensions of the Black-Scholes paradigm is to allow stochastic volatility, but even nonstochastic timevarying volatility destroys the important property that the tree recombines, which limits the growth in the number of nodes as time advances. Stochastic volatility introduces a second random variable, which then requires adding another dimension to the tree, under the constraint that the return and volatility changes must maintain the same degree of correlation as in the data. The Heston model features correlation in return and volatility shocks, but building it into a lattice is tricky. In this article, Ruckdeschel, Sayer, and Szimayer develop a lattice method that begins with a binomial tree for the volatility and a trinomial tree for stock price, and then connects them in such a way that the empirical degree of correlation between return and volatility is maintained. Efficiency relative to existing methods is increased, and in some cases it is possible to improve performance further by matching higher moments as well.
SUMOylation of the Farnesoid X Receptor (FXR) Regulates the Expression of FXR Target Genes*

Background: Small ubiquitin-like modifiers (SUMO) are covalently conjugated to other proteins including nuclear receptors leading to modification of various cellular processes. Results: Ligand-dependent SUMOylation of farnesoid X receptor (FXR) negatively regulates the expression of its target genes. Conclusion: SUMO modification attenuates the capacity of FXR to function as a transcriptional activator. Significance: Defining post-translation modification of FXR by SUMO is important to understanding how this nuclear receptor functions in health and disease. The farnesoid X receptor (FXR) belongs to a family of ligand-activated transcription factors that regulate many aspects of metabolism including bile acid homeostasis. Here we show that FXR is covalently modified by the small ubiquitin-like modifier (Sumo1), an important regulator of cell signaling and transcription. Well conserved consensus sites at lysine 122 and 275 in the AF-1 and ligand binding domains, respectively, of FXR were subject to SUMOylation in vitro and in vivo. Chromatin immunoprecipitation (ChIP) analysis showed that Sumo1 was recruited to the bile salt export pump (BSEP), the small heterodimer partner (SHP), and the OSTα-OSTβ organic solute transporter loci in a ligand-dependent fashion. Sequential chromatin immunoprecipitation (ChIP-ReChIP) verified the concurrent binding of FXR and Sumo1 to the BSEP and SHP promoters. Overexpression of Sumo1 markedly decreased binding and/or recruitment of FXR to the BSEP and SHP promoters on ChIP-ReChIP. SUMOylation did not have an apparent effect on nuclear localization of FXR. Expression of Sumo1 markedly inhibited the ligand-dependent, transactivation of BSEP and SHP promoters by FXR/retinoid X receptor α (RXRα) in HepG2 cells. In contrast, mutations that abolished SUMOylation of FXR or siRNA knockdown of Sumo1 expression augmented the transactivation of BSEP and SHP promoters by FXR. Pathways for SUMOylation were significantly altered during obstructive cholestasis with differential Sumo1 recruitment to the promoters of FXR target genes. In conclusion, FXR is subject to SUMOylation that regulates its capacity to transactivate its target genes in normal liver and during obstructive cholestasis.
The emergence of embedded structure: insights from Kafr Qasem Sign Language

This paper introduces data from Kafr Qasem Sign Language (KQSL), an as-yet undescribed sign language, and identifies the earliest indications of embedding in this young language. Using semantic and prosodic criteria, we identify predicates that form a constituent with a noun, functionally modifying it. We analyze these structures as instances of embedded predicates, exhibiting what can be regarded as very early stages in the development of subordinate constructions, and argue that these structures may bear directly on questions about the development of embedding and subordination in language in general. Deutscher (2009) argues persuasively that nominalization of a verb is the first step—and the crucial step—toward syntactic embedding. It has also been suggested that prosodic marking may precede syntactic marking of embedding (Mithun, 2009). However, the relevant data from the stage at which embedding first emerges have not previously been available. KQSL might be the missing piece of the puzzle: a language in which a noun can be modified by an additional predicate, forming a proposition within a proposition, sustained entirely by prosodic means.
CIFAR-10: KNN-Based Ensemble of Classifiers

In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and build an ensemble of classifiers to reach a better performance. We show that, on CIFAR-10, K-Nearest Neighbors (KNN) and Convolutional Neural Network (CNN), on some classes, are mutually exclusive, thus yield in higher accuracy when combined. We reduce KNN overfitting using Principal Component Analysis (PCA), and ensemble it with a CNN to increase its accuracy. Our approach improves our best CNN model from 93.33% to 94.03%.
Application of Improved Genetic K-Means Clustering Algorithm in Image Segmentation

An improved genetic K-means clustering algorithm is proposed and is applied to image segmentation. According to the characteristics of the image, the feature vector of the pixel is properly chosen and the weight factors of the feature vector are adjusted, which enhances the segmentation precision. The selection of conventional genetic algorithm and the modification of mutation operations improve the speed of convergence. Computing time is reduced due to combining the membership matrix with the coding of chromosomes skillfully. The results of the experiments demonstrate that in the image segmentation the proposed algorithm is better than traditional genetic K-means algorithm.
On the molecular mechanisms for the highly procoagulant pattern of C6 glioma cells

Summary. Background: That there is a correlation between cancer and procoagulant states is well‐known. C6 glioma cell line was originally induced in random‐bred Wistar–Furth rats and is morphologically similar to glioblastoma multiforme, the most common aggressive glioma resistant to therapeutic interventions. Objectives: In this study we analyzed the molecular mechanisms responsible for the highly procoagulant properties of C6 glioma cells. Methods: The presence of tissue factor (TF) and phosphatidylserine (PS) in C6 cells was investigated by flow‐cytometric and functional analyses. The assembly of extrinsic tenase, intrinsic tenase and prothrombinase complexes on these cells was studied using enzymatic assays employing plasma or purified proteins. Results: TF was identified by flow‐cytometric and functional [factor (F) Xa formation in the presence of cells and FVIIa] assays. Alternatively, conversion of FX into FXa was also observed in the presence of C6 cells, FIXa and FVIIIa. This effect was both cell‐ and FVIIIa‐dependent, being consistent with formation of the intrinsic tenase complex. C6 cells were also able to activate prothrombin in the presence of FXa and FVa, thus supporting formation of the prothrombinase complex. This ability was similar to positive controls performed with PS‐containing vesicles. Accordingly, exposure of PS on C6 cells was demonstrated by flow cytometry employing specific anti‐PS antibodies. In addition, annexin V, which blocks PS binding sites, inhibited FX and prothrombin conversion by their respective C6‐assembled activating complexes. Conclusion: C6 glioma cells support all procoagulant reactions leading to robust thrombin formation. This ability results from concomitant TF exposure and from the presence of the anionic lipid PS at the outer leaflet of cell membrane. Therefore, this animal cell line may be used to explore new aspects concerning the role of blood coagulation proteins in tumor biology, especially those affecting the central nervous system.
Molecular cloning and primary structure of the Escherichia coli methionyl-tRNA synthetase gene

The intact metG gene was cloned in plasmid pBR322 from an F32 episomal gene library by complementation of a structural mutant, metG83. The Escherichia coli strain transformed with this plasmid (pX1) overproduced methionyl-tRNA synthetase 40-fold. Maxicell analysis showed that three major polypeptides with MrS of 76,000, 37,000, and 29,000 were expressed from pX1. The polypeptide with an Mr of 76,000 was identified as the product of metG on the basis of immunological studies and was indistinguishable from purified methionyl-tRNA synthetase. In addition, DNA-DNA hybridization studies demonstrated that the metG regions were homologous on the E. coli chromosome and on the F32 episome. DNA sequencing of 642 nucleotides was performed. It completes the partial metG sequence already published (D. G. Barker, J. P. Ebel, R. Jakes, and C. J. Bruton, Eur. J. Biochem. 127:449-451, 1982). Examination of the deduced primary structure of methionyl-tRNA synthetase excludes the occurrence of any significant repeated sequences. Finally, mapping of mutation metG83 by complementation experiments strongly suggests that the central part of methionyl-tRNA synthetase is involved in methionine recognition. This observation is discussed in the light of the known three-dimensional crystallographic structure.
Distribution Patterns of Birds Associated with Snags in Natural and Managed Eastern Boreal Forests 1

In boreal forests, several bird species use standing dead trees for feeding or nesting and depend on them for their survival. Studies on wildlife use of snags have shown that their availability is greatly influenced by the age of the forest and the type of perturbation (natural versus anthropogenic). Accordingly, cavity-nesting birds seem largely affected by these changes in availability of snags. In North American boreal forests, relationships between birds and dead wood availability have predominantly been documented in western forests. The dynamics of dead wood and the distribution patterns of birds associated with this habitat feature remain largely unknown in eastern black spruce forests. Distribution patterns of birds associated with dead wood were documented in the eastern black spruce forest of northwestern Quebec, Canada. Study areas were composed of four forest landscapes (50-100 km 2 ) that were naturally disturbed by different fire events (1 year, 20 years, 100 years and > 200 years) and two logged landscapes (20 years, 80 years). Birds were surveyed by point counts. Overall, 348 point counts were distributed over the six forest landscapes. Vegetation plots centered at each point count were used to sample live trees and dead wood. In naturally disturbed forest landscapes, species richness and abundance cavity-nesting birds reached a peak in early post-fire and in mature forest landscapes. Standing dead wood availability and abundance patterns of cavity-nesting birds were significantly less in 20-year-old managed forests landscapes than in those of naturally disturbed forests landscapes. This pattern was persistent in mature forests comparisons between 80-year-old horse-logged second-growth forests and mature forests of post-fire origin. Our results suggest that old-growth forests in this portion of the eastern black-spruce forest ecosystem do not play a key role for cavitynesting birds. Mature and over-mature stands are, however, key habitats for many species of secondary cavity nesters, whereas early post-fire stands are key habitats for primary cavitynesting birds and represent the main source of recruitment for standing dead wood in this ecosystem. Changes in silvicultural practices designed to maintain specific structure of overmature stands (increased partial cutting) may provide a means for maintaining cavity-nesting birds at the landscape scale. Intensification of salvage cutting in early post-fire landscapes is another serious concern in black spruce forests. Reduction in the overall availability of dead wood through such forest practice may affect populations of some primary cavity nesters that are restricted to this specific forest type.
The Effects of Specific Mental Illness Stigma Beliefs on Treatment Seeking Attitudes

THE EFFECTS OF SPECIFIC MENTAL ILLNESS STIGMA BELIEFS ON TREATMENT SEEKING ATTITUDES Henry A. Boeh, M.S. Marquette University, 2015 Despite significant gains in the research base and effectiveness of psychotherapy, only thirty to forty percent of individuals experiencing mental illness symptoms seek treatment. A large barrier preventing many individuals from seeking psychotherapy is the stigma that surrounds mental illness. This study reviews the current state of mental illness stigma literature and presents a new Treatment Seeking Barriers Model (TSBM) that attempts to better explain the connection between stigma and treatment seeking. The goal of the current study was to isolate and manipulate responsibility or immutability beliefs related to depression in order to evaluate their relationship with treatment seeking stigma. These beliefs are primary barriers to treatment seeking in the TSBM. Public service announcements (PSAs) trying to increase or decrease beliefs of responsibility or immutability were created. Undergraduate students were randomly assigned to view one of the PSAs, and completed measures of stigma beliefs and attitudes before and after video exposure. Immutability beliefs were effectively decreased, while responsibility beliefs did not change. Furthermore, immutability belief change was significantly predictive of change in treatment seeking attitudes. Immutability beliefs may be a key target for future anti-stigma campaigns, given their sensitivity to brief PSAs observed in this study, as well as their predictive relationship with treatment seeking attitude change.
Parameter estimation of complex mathematical models of human physiology using remote simulation distributed in scientific cloud

A generic system for estimation of model parameters - calibrate models - is introduced. The proposed system architecture is built of several loosely coupled modules behaving as RESTful web services and allowing to integrate other parts of the system via HTTP protocol and data exchanged in JSON format. The system was designed in such a way that the most demanding computational part is computed in parallel and computation may be distributed to remote computational resources. A test deployment was done in scientific cloud provided by czech NGI CESNET. Parameter identification of complex models got significant speedup on cloud computing resources.
Reality Therapy

The author explains a new approach to psychotherapy, which he calls reality therapy, and discusses its application to the young offender. He contends that, whereas traditional psychotherapy provides psychological excuses for the patient's behavior and does not adequately confront the patient with the responsibility for the way he acts, reality therapy focuses on his present behavior and emphasizes his individual responsibility, but disregards his past history, unconscious conflicts, and psychiatric diagnosis.
A rhombic antenna array solution in eWLB package for millimeter-wave applications

A 77-GHz rhombic antenna as well as a rhombic antenna array designed for automotive radar applications are presented in 6×6mm2 and 12×8mm2 embedded wafer level ball grid array (eWLB) packages respectively. For the sake of antenna characterization, a 2×2mm2 monolithic microwave integrated circuit (MMIC) including a 77-GHz transceiver and a frequency multiplier is integrated in the package. The frequency multiplier generates the eighteenth harmonic of its input signal and scales a 4.25-GHz input signal to a 76.5-GHz output signal. This enables the antenna beam pattern characterization using a commercial signal source. As the dimensions of a single-element antenna in package (AiP) hardly exceeds the dimension of the MMIC, an AiP typically suffers from an asymmetric beam pattern and limited gain. This paper proposes a highly directional rhombic antenna array solution with more than 10 dBi gain and a symmetric beam pattern.
The effect of glycoprotein IIIa A1/A2 gene polymorphism on one-year outcome in patients with ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention.

INTRODUCTION Glycoprotein IIb/IIIa (GP IIb/IIIa) is a platelet receptor composed of two subunits coded by individual genes. GP IIIa gene has two alleles: A1 and A2. The A2 allele determines higher platelet activity and was investigated many times as a potential risk factor of ACS. The influence of A1/A2 polymorphism on the prognosis in patients with ST-segment elevation myocardial infarction (STEMI) has not been analysed so far. AIM Evaluation of the relationship between GP IIb/IIIa A1/A2 gene polymorphism and one-year prognosis in patients with STEMI treated with primary percutaneous coronary intervention (pPCI). METHODS 171 patients (23.9%--women, 39.7%--anterior MI) with STEMI treated successfully with pPCI as well as 121 healthy subjects from a reference group were enrolled in the study. Genotyping was performed using restriction fragment length polymorphism analysis (RFLP). In one-year follow-up the primary end point included deaths and infarctions. The following methods were used in statistical analysis: chi(2) as well as Mann-Whitney test, Kaplan-Meier survival analysis, Cox regression model and multivariate analysis. RESULTS The percentage of A2 allele carriers was similar in STEMI patients and in subjects from the reference group (27.4% vs. 21.5%, p=0.24). No statistically significant difference in the incidence of primary end point between the A1A1 homozygotes and A2 allele carriers (A1A2/A2A2 genotype) was observed among STEMI patients. In Cox regression analysis, the variables associated with death or MI were: ejection fraction (RR 0.912, p=0.01) and systolic blood pressure on admission (RR 0.97, p=0.049). The variables categorised as unfavourable predictors included: Killip class >2 and heart ratio on admission >100/min (p <0.05, log-rank test). CONCLUSION No relationship between GP IIb/IIIa A1/A2 gene polymorphism and STEMI incidence as well as one-year prognosis in patients with STEMI treated with pPCI was documented.
Deriving the Probability with Machine Learning and Efficient Duplicate Detection in Hierarchical Objects

— Duplicate detection is the major important task in the data mining, in order to find duplicate in the original data as well as data object. It exactly identifies whether the given data is duplicates or not. Real world duplicates are multiple representations that related to same real world data object. Detection of duplicates can performed to any places, it takes major important in database. To perform this hierarchical structure of duplicate detection in single relation is applied to XML data . In this work existing system presents a method called XMLDup. XMLDup uses a Bayesian network to establish the conditional probability between two XML elements being duplicates, taking into consideration not. Bayesian network based system conditional probability values are derived manually it becomes less efficient when compare to machine learning based results improves the efficiency of the duplicate detection proposed system finds the duplicate detection of XML data and XML Objects with different structure representation of the input files. Derive the conditional probability by applying Support vector machines (SVMs) models with associated learning algorithms that analyze XML Duplicate data object. In this method the number of XML Data is considered as input and the predicts the conditional probability value for each data in the hierarchical structure. Finally proposed SVM based classification performs better and efficient as well as effective duplicate detection.