Miracle-dz/UniFAR-FTUs huggingface dataset:
Large scale ontology for semantic web using clustering method over Hadoop

To Process large amount of data is a big issue these days and the rate of generation is increasing every day as more users use services on the internet. Previously data was processed on a single machine and that result in less scalability. In this paper we have proposed to use data on multiple machines by using clustering technique to separate data accurately and producing result in less time. So we have divided data into incremental and distributed approach in hadoop with help of map-reduce function where Map-Reduce programs are parallelized and executed on clusters. Reason for using incremental approach is to boost performance reasoning and runtime searching. The clusters formed work under the hadoop framework environment . The runtime system takes care of splitting the input data, managing machine failures and managing the required inter-machine communication. Dividing data into distributed form and processing data in incremental approach results in less processing time. Thus, a system on Hadoop framework with respective to incremental data is proposed. Working on semantic data Resource Description Framework dataset is used here.
Impact of primary health care on mortality from heart and cerebrovascular diseases in Brazil: a nationwide analysis of longitudinal data

Objectives To evaluate the impact of Brazil’s recently implemented Family Health Program (FHP), the largest primary health care programme in the world, on heart and cerebrovascular disease mortality across Brazil from 2000 to 2009. Design Ecological longitudinal design, evaluating the impact of FHP using negative binomial regression models for panel data with fixed effects specifications. Setting Nationwide analysis of data from Brazilian municipalities covering the period from 2000 to 2009. Data sources 1622 Brazilian municipalities with vital statistics of adequate quality. Main outcome measures The annual FHP coverage and the average FHP coverage in previous years were used as main independent variables and classified as none (0%), incipient (<30%), intermediate (30-69%), or consolidated (≥70%). Age standardised mortality rates from causes in the group of cerebrovascular (ICD-10 codes I60-69), ischaemic (ICD-10 I20-25), and other forms of heart diseases (ICD-10 I30-52), which were included in the national list of ambulatory care-sensitive conditions, were calculated for each municipality for each year. They accounted for 40% of all deaths from these groups during the study period. Results FHP coverage was negatively associated with mortality rates from cerebrovascular and heart diseases (ambulatory care-sensitive conditions) in both unadjusted and adjusted models for demographic, social, and economic confounders. The FHP had no effect on the mortality rate for accidents, used as a control. The rate ratio for the effect of consolidated annual FHP coverage on cerebrovascular disease mortality and on heart disease mortality was 0.82 (95% confidence interval 0.79 to 0.86) and 0.79 (0.75 to 0.80) respectively, reaching the value of 0.69 (0.66 to 0.73) and 0.64 (0.59 to 0.68) when the coverage was consolidated during all the previous eight years. Moreover, FHP coverage increased the number of health education activities, domiciliary visits, and medical consultations and reduced hospitalisation rates for cerebrovascular and heart disease. Several complementary analyses showed quantitatively similar results. Conclusions Comprehensive and community based primary health care programmes, such as the FHP in Brazil, acting through cardiovascular disease prevention, care, and follow-up can contribute to decreased cardiovascular disease morbidity and mortality in a developing country such as Brazil.
Evaluation of gene expression changes in human primary uroepithelial cells following 24‐Hr exposures to inorganic arsenic and its methylated metabolites

Gene expression changes in primary human uroepithelial cells exposed to arsenite and its methylated metabolites were evaluated to identify cell signaling pathway perturbations potentially associated with bladder carcinogenicity. Cells were treated with mixtures of inorganic arsenic and its pentavalent or trivalent metabolites for 24 hr at total arsenic concentrations ranging from 0.06 μM to 18 μM. One series (five samples) was conducted with arsenite and pentavalent metabolites and a second (10 samples) with arsenite and trivalent metabolites. Similar gene expression responses were obtained for pentavalent or trivalent metabolites. A suite of eight gene changes was consistently identified across individuals that reflect effects on key signaling pathways: oxidative stress, protein folding, growth regulation, metallothionine regulation, DNA damage sensing, thioredoxin regulation, and immune response. No statistical significance of trend (NOSTASOT) analysis of these common genes identified lowest observed effect levels (LOELs) from 0.6 to 6.0 μM total arsenic and no observed effect levels (NOELs) from 0.18 to 1.8 μM total arsenic. For the trivalent arsenical mixture, benchmark doses (BMDs) ranged from 0.13 to 0.92 μM total arsenic; benchmark dose lower 95% confidence limits (BMDLs) ranged from 0.09 to 0.58 μM total arsenic. BMDs ranged from 0.53 to 2.7 μM and BMDLs from 0.35 to 1.7 μM for the pentavalent arsenical mixture. Both endpoints varied by a factor of 3 across individuals. Thisstudy is the first to examine gene expression response in primary uroepithelial cells from multiple individuals and to identify no effect levels for arsenical‐induced cell signaling perturbations in normal human cells exposed to a biologically plausible concentration range. © Environ. Mol. Mutagen. , 2013. © 2012 Wiley Periodicals, Inc.
Enhancing the Television-Viewing Experience through Commercial Interruptions

Consumers prefer to watch television programs without commercials. Yet, in spite of most consumers' extensive experience with watching television, we propose that commercial interruptions can actually improve the television-viewing experience. Although consumers do not foresee it, their enjoyment diminishes over time. Commercial interruptions can disrupt this adaptation process and restore the intensity of consumers' enjoyment. Six studies demonstrate that, although people preferred to avoid commercial interruptions, these interruptions actually made programs more enjoyable (study 1), regardless of the quality of the commercial (study 2), even when controlling for the mere presence of the ads (study 3), and regardless of the nature of the interruption (study 4). However, this effect was eliminated for people who are less likely to adapt (study 5) and for programs that do not lead to adaptation (study 6), confirming the disruption of adaptation account and identifying crucial boundaries of the effect.
FGF-1-dependent proliferative and migratory responses are impaired in senescent human umbilical vein endothelial cells and correlate with the inability to signal tyrosine phosphorylation of fibroblast growth factor receptor-1 substrates

Senescent cells do not proliferate in response to exogenous growth factors, yet the number and affinity of growth factor receptors on the cell surface appear to be similar to presenescent cell populations. To determine whether a defect in receptor signaling exists, we analyzed human umbilical vein endothelial cells (HUVEC) since HUVEC growth is absolutely dependent upon the presence of FGF. We report that in both presenescent and senescent HUVEC populations, FGF-1 induces the expression of cell cycle-specific genes, suggesting that functional FGF receptor (FGFR) may exist on the surface of these cells. However, the tyrosine phosphorylation of FGFR-1 substrates, Src and cortactin, is impaired in senescent HUVEC, and only the presenescent cell populations exhibit a FGF-1-dependent Src tyrosine kinase activity. Moreover, we demonstrate that senescent HUVEC are unable to migrate in response to FGF-1, and these data correlate with an altered organization of focal adhesion sites. These data suggest that the induction of gene expression is insufficient to promote a proliferative or migratory phenotype in senescent HUVEC and that the attenuation of the FGFR-1 signal transduction pathway may be involved in the inability of senescent HUVEC to proliferate and/or migrate.
Functional connectivity and neuronal variability of resting state activity in bipolar disorder—reduction and decoupling in anterior cortical midline structures

Introduction: The cortical midline structures seem to be involved in the modulation of different resting state networks, such as the default mode network (DMN) and salience network (SN). Alterations in these systems, in particular in the perigenual anterior cingulate cortex (PACC), seem to play a central role in bipolar disorder (BD). However, the exact role of the PACC, and its functional connections to other midline regions (within and outside DMN) still remains unclear in BD. Methods: We investigated functional connectivity (FC), standard deviation (SD, as a measure of neuronal variability) and their correlation in bipolar patients (n = 40) versus healthy controls (n = 40), in the PACC and in its connections in different frequency bands (standard: 0.01–0.10 Hz; Slow‐5: 0.01–0.027 Hz; Slow‐4: 0.027–0.073 Hz). Finally, we studied the correlations between FC alterations and clinical‐neuropsychological parameters and we explored whether subgroups of patients in different phases of the illness present different patterns of FC abnormalities. Results: We found in BD decreased FC (especially in Slow‐5) from the PACC to other regions located predominantly in the posterior DMN (such as the posterior cingulate cortex (PCC) and inferior temporal gyrus) and in the SN (such as the supragenual anterior cingulate cortex and ventrolateral prefrontal cortex). Second, we found in BD a decoupling between PACC‐based FC and variability in the various target regions (without alteration in variability itself). Finally, in our subgroups explorative analysis, we found a decrease in FC between the PACC and supragenual ACC (in depressive phase) and between the PACC and PCC (in manic phase). Conclusions: These findings suggest that in BD the communication, that is, information transfer, between the different cortical midline regions within the cingulate gyrus does not seem to work properly. This may result in dysbalance between different resting state networks like the DMN and SN. A deficit in the anterior DMN‐SN connectivity could lead to an abnormal shifting toward the DMN, while a deficit in the anterior DMN‐posterior DMN connectivity could lead to an abnormal shifting toward the SN, resulting in excessive focusing on internal contents and reduced transition from idea to action or in excessive focusing on external contents and increased transition from idea to action, respectively, which could represent central dimensions of depression and mania. If confirmed, they could represent diagnostic markers in BD. Hum Brain Mapp 36:666–682, 2015. © 2014 Wiley Periodicals, Inc.
Development and human-like control of an upper limb rehabilitation exoskeleton using sEMG bio-feedback

The paper presents our results in development and human-like control of 5-DOFs upper limb rehabilitation exoskeleton. We build the robot dynamics and propose human-like learning control using low-feedback gains and sEMG bio-feedback for the exoskeleton such that it can flexibly interact with different human users. Due to the harmonic drive transmission (HDT) of the exoskeleton, its motion is precise for co-manipulation tasks of human and robot because of its backdrivability, precise positioning capabilities, and zero backlash. However, it is challenging for making the development of an accurate dynamic model of the robot extremely because of the compliance and oscillations inherent in harmonic drive systems, and the lack of any technical information on the internal dynamics of the transmission. Moreover, it's impossible to get a precise human arm model for each user. The novelty of this work lies in the development of rehabilitation robot and extracting the model parameters of a harmonic drive transmission in the robot, together with human-like learning control and sEMG bio-feedback, to facilitate co-manipulation task. We have conducted the experiments on human body to verify the effectiveness of the proposed approaches.
Combined Curvelet Shrinkage and Nonlinear Anisotropic Diffusion

In this paper, a diffusion-based curvelet shrinkage is proposed for discontinuity-preserving denoising using a combination of a new tight frame of curvelets with a nonlinear diffusion scheme. In order to suppress the pseudo-Gibbs and curvelet-like artifacts, the conventional shrinkage results are further processed by a projected total variation diffusion, in which only the insignificant curvelet coefficients or high-frequency part of the signal are changed by use of a constrained projection. Numerical experiments from piecewise-smooth to textured images show good performances of the proposed method to recover the shape of edges and important detailed components, in comparison to some existing methods.
PARTIAL PURIFICATION AND CHARACTERISATION OF COLD-ACTIVE METALLOPROTEASE BY BACILLUS SP. AP1 FROM APHARWAT PEAK, KASHMIR

A gram-positive, rod shaped psychrotrophic and alkalotolerant bacterium, producing extracellular proteolytic enzyme was isolated from the peak of Apharwat, Kashmir. The strain was identified as Bacillus sp via 16S rDNA sequencing and was designated as Bacillus sp. AP1. Highest quantity of enzyme was secreted when strain was grown for 30 hours at 20oC and pH 9.0. Glucose and skim milk were the best source of carbon and substrate respectively. The optimal activity of partially purified protease was recorded at pH 9.0, classifying the enzyme as alkaline protease. Similarly, the protease was found to be low temperature active with maximum enzyme activity at 20oC. Strong inhibition of activity by EGTA and EDTA defines the enzyme as metalloprotease; among metal ions, Mn enhanced enzyme activity. Finally, the washing test proved that enzyme could possibly be effective as an additive for cold washing purposes.
Multi-hop radio access cellular concept for fourth-generation mobile communications system

This paper proposes a multi-hop radio access cellular (MRAC) scheme for achieving both high speed and high capacity and good area coverage in fourth generation mobile communications systems. In this scheme, we assume two kinds of hop stations, one is a dedicated repeater station installed at a good propagation location such as a rooftop, and the other is a user terminal that temporarily experiences good propagation conditions. For both cases, the path diversity effect can be obtained between single-hop and multi-hop paths. Four propagation models were studied representing the paths among the base station, hop stations, and mobile station. Based on the propagation models, suitable MRAC operation conditions are discussed. For mobile stations located at the cell edge area, MRAC operation is effective in reducing the transmit power. Consequently, MRAC reduces the interference in cellular systems and enhances the area coverage.
Phytoestrogens and Their Human Metabolites Show Distinct Agonistic and Antagonistic Properties on Estrogen Receptor α (ERα)and ERβ in Human Cells

Phytoestrogens exert pleiotropic effects on cellular signaling and show some beneficial effects on estrogen-dependent diseases. However, due to activation/inhibition of the estrogen receptors ERalpha or ERbeta, these compounds may induce or inhibit estrogen action and, therefore, have the potential to disrupt estrogen signaling. We performed a comprehensive analysis and potency comparison of phytoestrogens and their human metabolites for ER binding, induction/suppression of ERalpha and ERbeta transactivation, and coactivator recruitment in human cells. The soy-derived genistein, coumestrol, and equol displayed a preference for transactivation of ERbeta compared to ERalpha and were 10- to 100-fold less potent than diethylstilbestrol. In contrast, zearalenone was the most potent phytoestrogen tested and activated preferentially ERalpha. All other phytoestrogens tested, including resveratrol and human metabolites of daidzein and enterolactone, were weak ER agonists. Interestingly, the daidzein metabolites 3',4',7-isoflavone and 4',6,7-isoflavone were superagonists on ERalpha and ERbeta. All phytoestrogens tested showed reduced potencies to activate ERalpha and ERbeta compared to diethylstilbestrol on the estrogen-responsive C3 promoter compared to a consensus estrogen response element indicating a degree of promoter dependency. Zearalenone and resveratrol were antagonistic on both ERalpha and ERbeta at high doses. The phytoestrogens enhanced preferentially recruitment of GRIP1 to ERalpha similar to 17beta-estradiol. In contrast, for ERbeta no distinct preference for one coactivator (GRIP1 or SRC-1) was apparent and the overall coactivator association was less pronounced than for ERalpha. Due to their abundance and (anti)-estrogenic potencies, the soy-derived isoflavones, coumestrol, resveratrol, and zearalenone would appear to have the potential for effectively functioning as endocrine disruptors.
Robust Predictive Control of Uncertain Nonlinear System With Constrained Input

In this paper, a linear matrix inequality(LMI)-based robust control method, which combines model predictive control(MPC) with the feedback linearization(FL), is presented for constrained nonlinear systems with parameter uncertainty. The design procedures consist of the following 3 steps: Polytopic description of nonlinear system with a parameter uncertainty via FL, Mapping of actual input constraint by FL into constraint on new input of linearized system, Optimization of the constrained MPC problem based on LMI. To verify the performance and usefulness of the control method proposed in this paper, some simulations with application to a flexible single link manipulator are performed.
Mutational, inhibitory and microcalorimetric analyses of Plasmodium falciparum TMP kinase. Implications for drug discovery

SUMMARY Plasmodium falciparum thymidylate kinase (PfTMK) can tolerate a range of substrates, which distinguishes it from other thymidylate kinases. The enzyme not only phosphorylates TMP and dUMP but can also tolerate bulkier purines, namely, dGMP, GMP, and dIMP. In order to probe the flexibility of PfTMK in accommodating ligands of various sizes, we developed 6 mutant enzymes and subjected these to thermodynamic, inhibitory and catalytic evaluation. Kinase activity was markedly affected by introducing a larger lysine residue instead of A111. The lack of the hydroxyl group after inducing mutation of Y107F affected enzyme activity, and had a more severe impact on dGMP kinase activity. PfTMK can be inhibited by both purine and pyrimidine nucleosides, raising the possibility of developing highly selective drugs. Thermodynamic analysis revealed that enthalpic forces govern both purine and pyrimidine nucleoside monophosphate binding, and the binding affinity of both substrates was highly comparable. The heat produced due to dGMP binding is lower than that attributable to TMP. This indicates that additional interactions occur with TMP, which may be lost with larger dGMP. Targeting PfTMK not only affects thymidine nucleotide synthesis but may also affect purine nucleotides, and thus the enzyme represents an attractive antimicrobial target.
Bench marking of classification algorithms: Decision Trees and Random Forests - a case study using R

Decision Trees and Random Forests are leading Machine Learning Algorithms, which are used for Classification purposes. Through the course of this paper, a comparison is made of classification results of these two algorithms, for classifying data sets obtained from Kaggle's Bike Sharing System and Titanic problems. The solution methodology deployed is primarily broken into two segments. First, being Feature Engineering where the given instance variables are made noise free and two or more variables are used together to give rise to a valuable third. Secondly, the classification parameters are worked out, consisting of correctly classified instances, incorrectly classified instances, Precision and Accuracy. This process ensured that the instance variables and classification parameters were best treated before they were deployed with the two algorithms i.e. Decision Trees and Random Forests. The developed model has been validated by using Systems data and the Classification results. From the model it can safely be concluded that for all classification problems Decision Trees is handy with small data sets i.e. less number of instances and Random Forests gives better results for the same number of attributes and large data sets i.e. with greater number of instances. R language has been used to solve the problem and to present the results.
The differential modulation of the ventral premotor–motor interaction during movement initiation is deficient in patients with focal hand dystonia

A major feature of focal hand dystonia (FHD) pathophysiology is the loss of inhibition. One inhibitory process, surround inhibition, for which the cortical mechanisms are still unknown, is abnormal in FHD. As the ventral premotor cortex (PMv) plays a key role in the sensorimotor processing involved in shaping finger movements and has many projections onto the primary motor cortex (M1), we hypothesized that the PMv–M1 connections might play a role in surround inhibition. A paired‐pulse transcranial magnetic stimulation paradigm was used in order to evaluate and compare the PMv–M1 interactions during different phases (rest, preparation and execution) of an index finger movement in patients with FHD and controls. A sub‐threshold conditioning pulse (80% resting motor threshold) was applied to the PMv at 6 ms before M1 stimulation. The right abductor pollicis brevis, a surround muscle, was the target muscle. In healthy controls, the results showed that PMv stimulation induced an ipsilateral ventral premotor–motor inhibition at rest. This cortico‐cortical interaction changed into an early facilitation (100 ms before movement onset) and turned back to inhibition 50 ms later. In patients with FHD, this PMv–M1 interaction and its modulation were absent. Our results show that, although the ipsilateral ventral premotor–motor inhibition does not play a key role in the genesis of surround inhibition, PMv has a dynamic influence on M1 excitability during the early steps of motor execution. The impaired cortico‐cortical interactions observed in patients with FHD might contribute, at least in part, to the abnormal motor command.
Extended Excentric Labeling

The paper presents an extension to the Excentric Labeling, a labeling technique to dynamically show labels around a movable lens. Each labels refers to one object within the lens and is connected to it through a line. The original implementation has several known limitations and potential improvements that we address in this work, like: high density areas, uneven density distributions, and summary statistics. We describe the implemented extensions and present a think‐aloud user study. The study shows that users can naturally understand and easily operate the majority of the implemented function but label scrolling, which requires additional research. From the study we also gained unanticipated requirements and interesting directions for further research.
AIM2: Improved implementation of AIM

We present AIM2-F , an improved implementation of AIM-F [4] algorithm for mining frequent itemsets. Past studies have proposed various algorithms and techniques for improving the efficiency of the mining task. We have presented AIM-F at FIMI’03, a combination of some techniques into an algorithm which utilize those techniques dynamically according to the input dataset. The algorithm main features include depth first search with vertical compressed database, diffset, parent equivalence pruning, dynamic reordering and projection. Experimental testing suggests that AIM2F outperforms existing algorithm implementations on various datasets.