Miracle-dz/UniFAR-FTUs huggingface dataset:
Polyphenol-rich juices reduce blood pressure measures in a randomised controlled trial in high normal and hypertensive volunteers

Intake of fruits and berries may lower blood pressure (BP), most probably due to the high content of polyphenols. In the present study, we tested whether consumption of two polyphenol-rich juices could lower BP. In a randomised, double-blinded, placebo-controlled trial of 12 weeks, 134 healthy individuals, aged 50–70 years, with high normal range BP (130/85–139/89 mmHg, seventy-two subjects) or stage 1-2 hypertension (140/90–179/109 mmHg, sixty-two subjects), were included. They consumed 500 ml/d of one of either (1) a commercially available polyphenol-rich juice based on red grapes, cherries, chokeberries and bilberries; (2) a juice similar to (1) but enriched with polyphenol-rich extracts from blackcurrant press-residue or (3) a placebo juice (polyphenol contents 245·5, 305·2 and 76 mg/100 g, respectively). Resting BP was measured three times, with a 1 min interval, at baseline and after 6 and 12 weeks of intervention. Systolic BP significantly reduced over time (6 and 12 weeks, respectively) in the pooled juice group compared with the placebo group in the first of the three measurements, both for the whole study group (6·9 and 3·4 mmHg; P= 0·01) and even more pronounced in the hypertensive subjects when analysed separately (7·3 and 6·8 mmHg; P= 0·04). The variation in the BP measurements was significantly reduced in the pooled juice group compared with the placebo group (1·4 and 1·7 mmHg; P= 0·03). In conclusion, the present findings suggest that polyphenol-rich berry juice may contribute to a BP- and BP variability lowering effect, being more pronounced in hypertensive than in normotensive subjects.
A Structured Process for Transforming Usability Data into Usability Information

Copyright © 2007-2008, Usability Professionals’ Association and the authors. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. URL: http://www.usabilityprofessionals. org. A Structured Process for Transforming Usability Data into Usability Information
The desire to emulate parental emotional strategies and its relation to emotion dysregulation among emerging adults

ABSTRACT Emotion regulation (ER) is an integral aspect of emerging adults’ mental health, yet little is known about interpersonal factors that influence ER in during this period. This investigation examines emerging adults’ desire to emulate parental ER skills in the relation between perceived parental ER and emerging adults’ emotion dysregulation.A sample of 79 emerging adults (Mage = 18.55 years, SD = .32; 88.6% female, 69.6% White) completed measures of perceived parental ER (Affective Style Questionnaire [ASQ]Hofmann and Kashdan 2010), emotion dysregulation (Difficulties in Emotion Regulation Scale [DERS]Gratz and Roemer 2004), and desire to emulate parental ER (Perception of Emotion Regulation Scale [PERS]). A desire to emulate parental ER skills moderated the relationship between perceived parental ER and emerging adults’ emotion dysregulation in general (B = -.10, SE = .048, t = −2.07, p = .043), and low emotional awareness in particular (B = -.04 SE = .02, t = −2.47, p = .02). Findings suggest that emerging adults with an increased desire to emulate parents with lower ER skills report greater emotion dysregulation. Implications for clinical practice, along with future directions for the field of ER, are discussed.
Awareness Tools : Lessons from Quake-Like

This paper presents a study that aims to review the awareness tools provided by video games to support team-play and team collaboration/communication. It also focuses on the use of these tools in groupware. A content analysis of gamers interview, the games observation and the game guides reading have revealed that, awareness tools used in games, support mainly location, presence, identity, action and event history. Communication tools like chat are also provided. From the tools that are reviewed here, there are several that might be useful in groupware : those which allow participants to gather in order to perform a task, those which provide direct vocal communication, those which allow users to configure their own awareness tools, etc. Video games also provide indication about the quality of the information that the awareness tools should offer. They must be accurate (a system should provide awareness tools adapted to the task) and as responsive as possible in order to minimize the user's cognitive load.
Significant Biochemical, Biophysical and Metabolic Diversity in Circulating Human Cord Blood Reticulocytes

Background The transition from enucleated reticulocytes to mature normocytes is marked by substantial remodeling of the erythrocytic cytoplasm and membrane. Despite conspicuous changes, most studies describe the maturing reticulocyte as a homogenous erythropoietic cell type. While reticulocyte staging based on fluorescent RNA stains such as thiazole orange have been useful in a clinical setting; these ‘sub-vital’ stains may confound delicate studies on reticulocyte biology and may preclude their use in heamoparasite invasion studies. Design and Methods Here we use highly purified populations of reticulocytes isolated from cord blood, sorted by flow cytometry into four sequential subpopulations based on transferrin receptor (CD71) expression: CD71high, CD71medium, CD71low and CD71negative. Each of these subgroups was phenotyped in terms of their, morphology, membrane antigens, biomechanical properties and metabolomic profile. Results Superficially CD71high and CD71medium reticulocytes share a similar gross morphology (large and multilobular) when compared to the smaller, smooth and increasingly concave reticulocytes as seen in the in the CD71low and CD71negativesamples. However, between each of the four sample sets we observe significant decreases in shear modulus, cytoadhesive capacity, erythroid receptor expression (CD44, CD55, CD147, CD235R, and CD242) and metabolite concentrations. Interestingly increasing amounts of boric acid was found in the mature reticulocytes. Conclusions Reticulocyte maturation is a dynamic and continuous process, confounding efforts to rigidly classify them. Certainly this study does not offer an alternative classification strategy; instead we used a nondestructive sampling method to examine key phenotypic changes of in reticulocytes. Our study emphasizes a need to focus greater attention on reticulocyte biology.
Improving Pacific Inter-tie Stability Using Existing Static VAR Compensators and Thyristor Controlled Series Compensation

The paper summarizes new control designs developed at Washington State University for the control of existing SVC’s, and TCSC owned by Bonneville Power Administration. The new controls are primarily aimed at improving transient stability of the WSCC western electric power system. The proposed controls are heuristic and are nonlinear. They are shown to be very effective in increasing the operating capability ratings of the California-Oregon pacific inter-tie under varied operating conditions.
Frequent Occurrence of Highly Expanded but Unrelated B-Cell Clones in Patients with Multiple Myeloma

Clonal diversity in multiple myeloma (MM) includes both MM-related and MM-unrelated clonal expansions which are subject to dominance exerted by the MM clone. Here we show evidence for the existence of minor but highly expanded unrelated B-cell clones in patients with MM defined by their complementary determining region 3 (CDR3) peak. We further characterize these clones over the disease and subsequent treatment. Second clones were identified by their specific IgH-VDJ sequences that are distinct from those of dominant MM clones. Clonal frequencies were determined through semi-quantitative PCR, quantitative PCR and single-cell polymerase chain reaction of the clone-specific sequence. In 13/74 MM patients, more than one dominant CDR3 peak was identified with 12 patients (16%) being truly biclonal. Second clones had different frequencies, were found in different locations and were found in different cell types from the dominant MM clone. Where analysis was possible, they were shown to have chromosomal characteristic distinct from those of the MM clone. The frequency of the second clone also changed over the course of the disease and often persisted despite treatment. Molecularly-defined second clones are infrequent in monoclonal gammopathy of undetermined significance (MGUS, 1/43 individuals or 2%), suggesting that they may arise at relatively late stages of myelomagenesis. In further support of our findings, biclonal gammopathy and concomitant MM and CLL (chronic lymphocytic leukemia) were confirmed to originate from two unrelated clones. Our data supports the idea that the clone giving rise to symptomatic myeloma exerts clonal dominance to prevent expansion of other clones. MM and second clones may arise from an underlying niche permissive of clonal expansion. The clinical significance of these highly expanded but unrelated clones remains to be confirmed. Overall, our findings add new dimensions to evaluating related and unrelated clonal expansions in MM and the impact of disease evolution and treatment on clonal diversity.
Associations between measles vaccine immunity and single-nucleotide polymorphisms in cytokine and cytokine receptor genes.

BACKGROUND Cytokines are key regulators of measles vaccine humoral and cellular immunity. Single-nucleotide polymorphisms (SNPs) that are associated with differences in cytokine levels should also influence measles vaccine-induced immunity. METHODS We genotyped 118 measles-mumps-rubella-vaccinated subjects for SNPs from 6 cytokine genes (interleukin [IL]-2, IL-4, IL-10, IL-12A, IL-12B, and interferon [IFN]-gamma) and their receptors (IL-2RA, IL-2RB, IL-4RA, IL-10RA, IL-10RB, IL-12RB1, IL-12RB2, and IFN-gamma R). Associations of SNPs with measles-specific antibodies, lymphoproliferation, and secreted cytokines were determined using chi2 tests and analyses of covariance. RESULTS We found significant associations (P<.05) between SNPs in the IL-2, IL-10, and IL-12RB genes and measles vaccine-induced immunity. The IVS1-100G (rs2069762) and the Ex2-34G (rs2069763) SNPs within the IL-2 gene were associated with high antibody and high lymphoproliferative responses, whereas SNPs within the IL-10 and IL-12R genes were associated with low antibody and lymphoproliferative responses to measles. SNPs within the IL-4RA and IL-12B genes varied significantly (P<.05) across immune response measures. Significant associations were also found between SNPs and secreted cytokine levels. CONCLUSIONS Specific SNPs in the cytokine and cytokine receptor genes are significantly associated with variations in measures of the immune response to measles vaccination. These results need to be further validated in a larger cohort.
The prion protein is critical for DNA repair and cell survival after genotoxic stress

The prion protein (PrP) is highly conserved and ubiquitously expressed, suggesting that it plays an important physiological function. However, despite decades of investigation, this role remains elusive. Here, by using animal and cellular models, we unveil a key role of PrP in the DNA damage response. Exposure of neurons to a genotoxic stress activates PRNP transcription leading to an increased amount of PrP in the nucleus where it interacts with APE1, the major mammalian endonuclease essential for base excision repair, and stimulates its activity. Preventing the induction of PRNP results in accumulation of abasic sites in DNA and impairs cell survival after genotoxic treatment. Brains from Prnp−/− mice display a reduced APE1 activity and a defect in the repair of induced DNA damage in vivo. Thus, PrP is required to maintain genomic stability in response to genotoxic stresses.
Coronary heart disease Functional mitral regurgitation after a first non-ST-segment elevation acute coronary syndrome : contribution to congestive heart failure

Aims Functional mitral regurgitation (MR) is a frequent complication after the acute phase of a myocardial infarction and plays an important role in the development of congestive heart failure (CHF) after a Q-wave myocardial infarction. Nevertheless, until now, the relevance of functional MR after a non-STsegment elevation acute coronary syndrome (NSTSEACS) has been poorly addressed. Our aim was to assess the relationship between the presence or absence and the severity of functional MR after a first NSTSEACS and the development of CHF. Methods and results Two hundred and seventy-nine patients discharged from hospital in NYHA functional classes I and II (71.7% men; mean age 66.3+13.2 years) after a first NSTSEACS were studied. Every patient underwent an echocardiographic study during the first week after the index NSTSEACS and were clinically followed-up. MR was detected in 40.1% patients. Patients were followed-up for a median time of 418 days (inter-quartile range: 295–561). Six patients (3.6%) in the group without MR and 15 patients (13.4%) in the group with MR required hospitalization due to CHF during follow-up. Only MR was found as an independent predictor of CHF development (HR 1⁄4 1.8; 95% CI 1⁄4 1.1–3.1; P 1⁄4 0.02) and CHF development or cardiac death (HR 1⁄4 2.1; 95% CI 1⁄4 1.3–3.3; P 1⁄4 0.01) in the longterm follow-up multivariable Cox regression analysis. Conclusion There is an increased risk for subsequent CHF in patients with MR after a first NSTSEACS. The risk of CHF is closely related to the MR presence and severity. Thus, the detection of MR by means of Doppler echocardiography after a first episode of NSTSEACS is crucial.
A novel algorithm for abandoned object detection

Abandoned object detection is a crucial problem in many computer vision tasks. Traditional method based on foreground/background extraction techniques leads to a high false alarm rate. In this paper, we propose a novel detection algorithm based on change detection and blob separation. Our proposed approach suits more practical scenarios in which objects located near each other. Experiments are conducted on several well-known benchmarks to validate the efficacy of the algorithm proposed in this paper.
Brain Activity of Normal and Low IQ Children: The Neural Efficiency Hypothesis

The neural efficiency hypothesis (NEH) of intelligence claims that subjects performing a complex task may well use a limited number of brain circuits and/or fewer neurons while poor performers use more circuits and/or neurons, some of which are inessential or detrimental to task performance. The present paper studies the EEG activity associated with reading and arithmetic calculation by normal and mental retarded children. Correlation analysis of the electrical activity recorded by 10/20 electrode system was used to calculate the amount of information allocated by individuals to solve these tasks. Multiple regression analyses showed that IQ linearly correlates with the amount of information provided by each electrode about task solution. This analysis also shows that normal children allocate an amount of computational resources H(B)n greater than that allocated by mental retarded children H(B)l to solve both reading and calculation task. Most important, it is shown that H(B)l
Petri Net Models for Manufacturing Systems

This paper presents an experimental laboratory setup aimed at creating a exible manufacturing system for use in teaching real-time control. The machine models robots, conveyors, etc. are self-contained elements with their own intelligence, communicating with a master computer. A supervisor program running on the master computer is implemented by a real-time operating system, enabling the dynamic creation of processes. The supervisor program is fully parameterized, with parameters specifying manufacturing subtasks of all machines and synchronization among them. This makes the control system modular and exible. A manufacturing task is speciied by Petri nets that are automatically decomposed into a set of unique P-invariant generators. The choice of concurrent processes corresponding to P-invariants is done semi-automatically to reeect the physical tenor of the manufacturing system.
Deletions of CDKN2C in Multiple Myeloma: Biological and Clinical Implications

Purpose: Deletions of chromosome 1 have been described in 7% to 40% of cases of myeloma with inconsistent clinical consequences. CDKN2C at 1p32.3 has been identified in myeloma cell lines as the potential target of the deletion. We tested the clinical impact of 1p deletion and used high-resolution techniques to define the role of CDKN2C in primary patient material. Experimental Design: We analyzed 515 cases of monoclonal gammopathy of undetermined significance (MGUS), smoldering multiple myeloma (SMM), and newly diagnosed multiple myeloma using fluorescence in situ hybridization (FISH) for deletions of CDKN2C. In 78 myeloma cases, we carried out Affymetrix single nucleotide polymorphism mapping and U133 Plus 2.0 expression arrays. In addition, we did mutation, methylation, and Western blotting analysis. Results: By FISH we identified deletion of 1p32.3 (CDKN2C) in 3 of 66 MGUS (4.5%), 4 of 39 SMM (10.3%), and 55 of 369 multiple myeloma cases (15%). We examined the impact of copy number change at CDKN2C on overall survival (OS), and found that the cases with either hemizygous or homozygous deletion of CDKN2C had a worse OS compared with cases that were intact at this region (22 months versus 38 months; P = 0.003). Using gene mapping we identified three homozygous deletions at 1p32.3, containing CDKN2C, all of which lacked expression of CDKN2C. Cases with homozygous deletions of CDKN2C were the most proliferative myelomas, defined by an expression-based proliferation index, consistent with its biological function as a cyclin-dependent kinase inhibitor. Conclusions: Our results suggest that deletions of CDKN2C are important in the progression and clinical outcome of myeloma.
Modeling the 802.11 Distributed Coordination Function in Nonsaturated Heterogeneous Conditions

Analysis of the 802.11 CSMA/CA mechanism has received considerable attention recently. Bianchi presented an analytic model under a saturated traffic assumption. Bianchi's model is accurate, but typical network conditions are nonsaturated and heterogeneous. We present an extension of his model to a nonsaturated environment. The model's predictions, validated against simulation, accurately capture many interesting features of nonsaturated operation. For example, the model predicts that peak throughput occurs prior to saturation. Our model allows stations to have different traffic arrival rates, enabling us to address the question of fairness between competing flows. Although we use a specific arrival process, it encompasses a wide range of interesting traffic types including, in particular, VoIP
Multi-Instance Multi-Label Learning for Image Classification with Large Vocabularies

Multiple Instance Multiple Label learning problem has received much attention in machine learning and computer vision literature due to its applications in image classification and object detection. However, the current state-of-the-art solutions to this problem lack scalability and cannot be applied to datasets with a large number of instances and a large number of labels. In this paper we present a novel learning algorithm for Multiple Instance Multiple Label learning that is scalable for large datasets and performs comparable to the state-of-the-art algorithms. The proposed algorithm trains a set of discriminative multiple instance classifiers (one for each label in the vocabulary of all possible labels) and models the correlations among labels by finding a low rank weight matrix thus forcing the classifiers to share weights. This algorithm is a linear model unlike the state-of-the-art kernel methods which need to compute the kernel matrix. The model parameters are efficiently learned by solving an unconstrained optimization problem for which Stochastic Gradient Descent can be used to avoid storing all the data in memory.
Zipper-based Meta-Genetic Programming

We present a zipper-based instruction set for constructing genetic programming variation operators. We study the effects of such variation operators on the lawnmower problem. Operators in this language possess the ability to outperform standard mutation and crossover in terms of both decreasing the average population error as well as the best population error. Furthermore, the expression of standard mutation and crossover in this language is trivial, allowing evolution to re-discover these operators when necessary. We conclude by using these operators in a meta-genetic programming context, showing that it is possible for zipper-based metagenetic programming to expedite evolutionary search.
An AVS / Express interface to CCP 4

This paper describes the integration of programs from the widely used CCP4 macromolecular crystallography package into a modern visualization environment (AVS/Express), which provides a simple graphical user interface, a visual programming paradigm, and a variety of 1, 2 and 3-D data visualization tools for the display of graphical information and the results of crystallographic calculations, such as electron density and Patterson maps. The CCP4 suite comprises a number of separate Fortran 77 programs, which communicate via common file formats. Each program is encapsulated into an AVS/Express macro module, and may be visually linked to others in a network, reflecting the nature of many crystallographic calculations. Temporary files are used to pass input parameters from a graphical user interface to the program module, and also to intercept line printer output, which can be filtered to extract graphical information and significant numerical parameters. These may be passed to downstream modules, permitting calculations to be automated if no user interaction is required, or giving the user the opportunity to make selections in an interactive
Segrosome Complex Formation during DNA Trafficking in Bacterial Cell Division

Bacterial extrachromosomal DNAs often contribute to virulence in pathogenic organisms or facilitate adaptation to particular environments. The transmission of genetic information from one generation to the next requires sufficient partitioning of DNA molecules to ensure that at least one copy reaches each side of the division plane and is inherited by the daughter cells. Segregation of the bacterial chromosome occurs during or after replication and probably involves a strategy in which several protein complexes participate to modify the folding pattern and distribution first of the origin domain and then of the rest of the chromosome. Low-copy number plasmids rely on specialized partitioning systems, which in some cases use a mechanism that show striking similarity to eukaryotic DNA segregation. Overall, there have been multiple systems implicated in the dynamic transport of DNA cargo to a new cellular position during the cell cycle but most seem to share a common initial DNA partitioning step, involving the formation of a nucleoprotein complex called the segrosome. The particular features and complex topologies of individual segrosomes depend on both the nature of the DNA binding protein involved and on the recognized centromeric DNA sequence, both of which vary across systems. The combination of in vivo and in vitro approaches, with structural biology has significantly furthered our understanding of the mechanisms underlying DNA trafficking in bacteria. Here, I discuss recent advances and the molecular details of the DNA segregation machinery, focusing on the formation of the segrosome complex.