Miracle-dz/UniFAR-FTUs huggingface dataset:
Distributed Caching for Data Dissemination in the Downlink of Heterogeneous Networks

Heterogeneous cellular networks (HCNs) with embedded small cells are considered, where multiple mobile users wish to download network content of different popularity. By caching data into the small-cell base stations, we will design distributed caching optimization algorithms via belief propagation (BP) for minimizing the downloading latency. First, we derive the delay-minimization objective function and formulate an optimization problem. Then, we develop a framework for modeling the underlying HCN topology with the aid of a factor graph. Furthermore, a distributed BP algorithm is proposed based on the network's factor graph. Next, we prove that a fixed point of convergence exists for our distributed BP algorithm. In order to reduce the complexity of the BP, we propose a heuristic BP algorithm. Furthermore, we evaluate the average downloading performance of our HCN for different numbers and locations of the base stations and mobile users, with the aid of stochastic geometry theory. By modeling the nodes distributions using a Poisson point process, we develop the expressions of the average factor graph degree distribution, as well as an upper bound of the outage probability for random caching schemes. We also improve the performance of random caching. Our simulations show that 1) the proposed distributed BP algorithm has a near-optimal delay performance, approaching that of the high-complexity exhaustive search method; 2) the modified BP offers a good delay performance at low communication complexity; 3) both the average degree distribution and the outage upper bound analysis relying on stochastic geometry match well with our Monte-Carlo simulations; and 4) the optimization based on the upper bound provides both a better outage and a better delay performance than the benchmarks.
PM2.5 and PM10 Induce the Expression of Adhesion Molecules and the Adhesion of Monocytic Cells to Human Umbilical Vein Endothelial Cells

Exposure to airborne particles has been associated with an increase in cardiopulmonary events. Endothelial cells could be playing an important role in the response to airborne particles due their involvement in proinflammatory events, and there is some evidence of particle translocation from lung into circulation. One of the initiating events of inflammation is endothelial activation. We determined the concentration-response effect of a particulate matter with different aerodynamic sizes (PM2.5 [particulate matter with aerodynamic diameter of 2.5 μ m and less] and PM10 [particulate matter with aerodynamic diameter of 10 μ m and less]) obtained from Mexico City on human umbilical vein endothelial cells (HUVEC). The adhesion of monocytic U937 cells to HUVEC and the expression of early (E- and P-selectins) and late (ICAM-1, PECAM-1, VCAM-1) adhesion molecules were tested. Adhesion of U937 cells to HUVEC was evaluated by coculture experiments using [3H]thymidine-labeled U937 cells and the expression of adhesion molecules was evaluated by flow cytometry. Tumor necrosis factor (TNF)-α was used as a positive control of endothelial activation. Our results showed that both PM2.5 and PM10 induced the adhesion of U937 cells to HUVEC, and their maximal effect was observed at 20 μ g/cm2. This adhesion was associated with an increase in the expression of all adhesion molecules evaluated for PM10, and E-selectin, P-selectin, and ICAM-1 for PM2.5. In general, maximum expression of adhesion molecules induced by PM2.5 and PM10 was obtained with 20 μ g/cm2; however, PM10-induced expression was observed from 5 μ g/cm2. E-selectin and ICAM-1 had the strongest expression in response to particles. In conclusion, PM2.5 and PM10 induce the activation of HUVEC, leading to monocytic adhesion via the expression of adhesion molecules, suggesting that these particles may participate in the development of inflammatory diseases. The role of these events in the development of diseases such as atherosclerosis is likely to be evaluated.
Healthy Universities: current activity and future directions - findings and reflections from a national-level qualitative research study

This qualitative study used questionnaires to scope and explore ‘healthy universities’ activity taking place within English higher education institutions (HEIs). The findings revealed a wealth of health-related activity and confirmed growing interest in the healthy universities approach — reflecting an increasing recognition that investment for health within the sector will contribute not only to health targets but also to mainstream agendas such as staff and student recruitment, experience and retention; and institutional and societal productivity and sustainability. However, they also suggested that, while there is growing understanding of the need for a comprehensive whole system approach to improving health within higher education settings, there are a number of very real challenges — including a lack of rigorous evaluation, the difficulty of integrating health into a ‘non-health’ sector and the complexity of securing sustainable cultural change. Noting that health and well-being remain largely marginal to the core mission and organization of higher education, the article goes on to reflect on the wider implications for future research and policy at national and international levels. Within England, whereas there are Healthy Schools and Healthy Further Education Programmes, there is as yet no government-endorsed programme for universities. Similarly, at an international level, there has been no systematic investment in higher education mirroring the comprehensive and multifaceted Health Promoting Schools Programme. Key issues highlighted are: securing funding for evaluative research within and across HEIs to enable the development of a more robust evidence base for the approach; advocating for an English National Healthy Higher Education Programme that can help to build consistency across the entire spectrum of education; and exploring with the World Health Organization (WHO) and the International Union for Health Promotion and Education (IUHPE) the feasibility of developing an international programme. (Global Health Promotion, 2010; 17(3): pp. 6—16)
Applying Topological Persistence in Convolutional Neural Network for Music Audio Signals

Recent years have witnessed an increased interest in the application of persistent homology, a topological tool for data analysis, to machine learning problems. Persistent homology is known for its ability to numerically characterize the shapes of spaces induced by features or functions. On the other hand, deep neural networks have been shown effective in various tasks. To our best knowledge, however, existing neural network models seldom exploit shape information. In this paper, we investigate a way to use persistent homology in the framework of deep neural networks. Specifically, we propose to embed the so-called "persistence landscape," a rather new topological summary for data, into a convolutional neural network (CNN) for dealing with audio signals. Our evaluation on automatic music tagging, a multi-label classification task, shows that the resulting persistent convolutional neural network (PCNN) model can perform significantly better than state-of-the-art models in prediction accuracy. We also discuss the intuition behind the design of the proposed model, and offer insights into the features that it learns.
The Behavior of Risk and Market Prices of Risk Over the Nasdaq Bubble Period

We exploit the information in the options market to study the variations of return risk and market prices of different sources of risk during the rise and fall of the Nasdaq market. We specify a model that accommodates fluctuations in both risk levels and market prices of different sources of risk, and we estimate the model using the time-series returns and option prices on the Nasdaq 100 tracking stock. Our analysis reveals three key variations during the period from March 1999 to March 2001. First, return volatility increased together with the rising Nasdaq index level, even though the two tend to move in opposite directions. Second, although the market price of diffusion return risk averages around 1.82 over the whole sample, the estimates reached negative territory at the end of 1999. The estimates reverted back to highly positive values after the collapse of the Nasdaq market. Third, the market price of jump risk increased with the rising Nasdaq valuation, and this increase in market price coincided with an increased imbalance in open interest between put and call options.
Regulation of Endopeptidases EC3.4.24.15 and EC3.4.24.16 in Vascular Endothelial Cells by Cyclic Strain: Role of Gi Protein Signaling

Objective—Endopeptidase EC3.4. 24.15 (EP24.15)- and EC3.4. 24.16 (EP24.16)-specific peptide hydrolysis plays an important role in endothelium-mediated vasoregulation. Given the significant influence of hemodynamic forces on vascular homeostasis and pathology, we postulated that these related peptidases may be mechanosensitive. The objective of this study, therefore, was to investigate the putative role of cyclic strain in regulating the expression and enzymatic activity of EP24.15 and EP24.16 in bovine aortic endothelial cells (BAECs). Methods and Results—BAECs were cultured under conditions of defined cyclic strain (0% to 10% stretch, 60 cycles/min, 0 to 24 hours). Strain significantly increased EP24.15 and EP24.16 soluble activity in a force- and time-dependent manner, with elevations of 2.3±0.4- and 1.9±0.3-fold for EP24.15 and EP24.16, respectively, after 24 hours at 10% strain. Pharmacological agents and dominant-negative G protein mutants used to selectively disrupt Gi&agr;- and G&bgr;&ggr;-mediated signaling pathways attenuated strain-dependent (24 hours, 5%) increases for both enzymes. Differences in the inhibitory profile for both enzymes were also noted, with EP24.15 displaying greater sensitivity to Gi&agr;2/3 inhibition and EP24.16 exhibiting greater sensitivity to Gi&agr;1/2 and G&bgr;&ggr; inhibition. Cyclic strain also increased levels of secreted EP24.15 and EP24.16 activity by 2.6±0.02- and 3.6±0.2-fold, respectively, in addition to mRNA levels for both enzymes (EP24.15 +42%, EP24.16 +56%). Conclusions—Our findings suggest that cyclic strain putatively regulates both the mRNA expression and enzymatic function of EP24.15 and EP24.16 in BAECs via alternate Gi protein signaling pathways.
Defense Technical Information Center Compilation Part Notice ADP 013714

We discuss here recent developments on the convergence of the q-Bernstein polynomials B,,f which replaces the classical Bernstein polynomial with a one parameter family of polynomials. In addition, the convergence of iterates and iterated Boolean sum of qBernstein polynomial will be considered. Moreover a q-difference operator V~qf defined by VEqf = f[x, qx] is applied to q-Bernstein polynomials. This gives us some results which complement those concerning derivatives of Bernstein polynomials. It is shown that, with the parameter 0 < q < 1, if Akfr > 0 then DqBnf 0. If f is monotonic so is DqBnf. If f is convex then EqBf > 0.
Influence of Cardiac Fiber Orientation on Wavefront Voltage, Conduction Velocity, and Tissue Resistivity in the Dog

When the canine epicardium is stimulated, the spread of epicardial excitation is 2.4 times faster parallel to the long axes of the cardiac fibers than perpendicular to them. Likewise, gross tissue resistivity is lower parallel to fibers by a factor of 3.2, and the voltage across the depolarization wave is approximately three times as great in the longitudinal direction. Equations are presented which relate these variables. Theoretical considerations confirm the experimental finding that the potentials around a wave of depolarization cannot be accounted for by the conventional hypothesis that the wavefront is a uniform double-layer current source. Circ Res 44: 701-712, 1979
The Simian Virus 40 Core Origin Contains Two Separate Sequence Modules That Support T-Antigen Double-Hexamer Assembly

ABSTRACT Using subfragments of the simian virus 40 (SV40) core origin, we demonstrate that two alternative modules exist for the assembly of T-antigen (T-ag) double hexamers. Pentanucleotides 1 and 3 and the early palindrome (EP) constitute one assembly unit, while pentanucleotides 2 and 4 and the AT-rich region constitute a second, relatively weak, assembly unit. Related studies indicate that on the unit made up of pentanucleotide 1 and 3 and the EP assembly unit, the first hexamer forms on pentanucleotide 1 and that owing to additional protein-DNA and protein-protein interactions, the second hexamer is able to form on pentanucleotide 3. Oligomerization on the unit made up of pentanucleotide 2 and 4 and the AT-rich region is initiated by assembly of a hexamer on pentanucleotide 4; subsequent formation of the second hexamer takes place on pentanucleotide 2. Given that oligomerization on the SV40 origin is limited to double-hexamer formation, it is likely that only a single module is used for the initial assembly of T-ag double hexamers. Finally, we discuss the evidence that nucleotide hydrolysis is required for the remodeling events that result in the utilization of the second assembly unit.
Cluster equivalence and graded derived equivalence.

In this paper we introduce a new approach for organizing algebras of global dimension at most 2. We introduce the notion of cluster equivalence for these algebras, based on whether their general- ized cluster categories are equivalent. We are particularly interested in the question how much information about an algebra is preserved in its generalized cluster category, or, in other words, how closely two algebras are related if they have equivalent generalized cluster categories. Our approach makes use of the cluster-tilting objects in the generalized cluster categories: We first observe that cluster-tilting objects in generalized cluster categories are in natural bijection with cluster-tilting subcategories of derived categories, and then prove a recognition theorem for the latter. Using this recognition theorem we give a precise criterion when two cluster equivalent algebras are derived equivalent. For a given algebra we further describe all the de- rived equivalent algebras which have the same canonical cluster tilting object in their generalized cluster category. Finally we show that in general, if two algebras are cluster equivalent, then (under certain con- ditions) the algebras can be graded in such a way that the categories of graded modules are derived equivalent. To this end we introduce mutation of graded quivers with potential, and show that this notion reflects mutation in derived categories.
Protease supplementation improves muscle function after eccentric exercise.

UNLABELLED Protease supplementation has been purported to reduce the damaging effects of eccentric exercise and accelerate recovery of muscle function, possibly by regulating inflammation. PURPOSE To determine the effectiveness of protease supplementation in attenuating eccentric exercise-induced skeletal muscle damage and inflammation. METHODS After standard physical and hemodynamic assessment and fasting venous blood samples, subjects performed isokinetic extension/flexion of the quadriceps group on a Biodex isokinetic dynamometer at 60°·s(-1), followed by VO2max testing. Subjects were randomly assigned to consume 5.83 g daily of either a cellulose placebo (N = 15; 22.27 ± 3.33 yr, 71.17 ± 2.91 inches, 179.4 ± 24.05 lb, 50.55 ± 5.66 mL·kg(-1)·min(-1)) or a proteolytic supplement containing fungal proteases, bromelain, and papain (N = 14; 22.85 ± 5.9 yr, 70.0 ± 2.67 inches, 173.11 ± 29.94 lb, 49.69 ± 6.15 mL·kg(-1)·min(-1)) for a period of 21 d. After the supplementation period, subjects donated blood samples before performing a 45-min downhill (-17.5%) treadmill protocol at 60% of VO2max. An additional four blood draws and three muscle function tests were performed during the next 48 h. Blood was analyzed using standard hematology and clinical chemistry, enzyme-linked immunosorbent assay, and bead array. Blood data were analyzed using multivariate analysis of variance (MANOVA) with repeated measures, whereas Biodex data were analyzed using a MANOVA on %Δ values. RESULTS Significant group differences (T1-T3, P = 0.033; T1-T4, P = 0.043) and another strong trend (T1-3 h, P = 0.055) were observed for flexion (peak torque %Δ at 60°·s(-1)) indicating higher force production in the protease group. Significant group × time interactions (P < 0.05) were observed, including elevations in circulating eosinophils and basophils in the protease group coinciding with lower levels of serum cyclooxygenase 2, interleukin 6, and interleukin 12 in this group. CONCLUSIONS Protease supplementation seems to attenuate muscle strength losses after eccentric exercise by regulating leukocyte activity and inflammation.
Clustering aggregation

We consider the following problem: given a set of clusterings, find a clustering that agrees as much as possible with the given clusterings. This problem, clustering aggregation, appears naturally in various contexts. For example, clustering categorical data is an instance of the problem: each categorical variable can be viewed as a clustering of the input rows. Moreover, clustering aggregation can be used as a meta-clustering method to improve the robustness of clusterings. The problem formulation does not require a-priori information about the number of clusters, and it gives a natural way for handling missing values. We give a formal statement of the clustering-aggregation problem, we discuss related work, and we suggest a number of algorithms. For several of the methods we provide theoretical guarantees on the quality of the solutions. We also show how sampling can be used to scale the algorithms for large data sets. We give an extensive empirical evaluation demonstrating the usefulness of the problem and of the solutions.
Paracrine Interactions between Adipocytes and Tumor Cells Recruit and Modify Macrophages to the Mammary Tumor Microenvironment: The Role of Obesity and Inflammation in Breast Adipose Tissue

The relationship between obesity and breast cancer (BC) has focused on serum factors. However, the mammary gland contains adipose tissue (AT) which may enable the crosstalk between adipocytes and tumor cells contributing to tumor macrophage recruitment. We hypothesize that the breast AT (bAT) is inflamed in obese females and plays a major role in breast cancer development. The effects of this interplay on macrophage chemotaxis were examined in vitro, using co-cultures of mouse macrophages, mammary tumor cells and adipocytes. Macrophages were exposed to the adipocyte and tumor paracrine factors leptin, CCL2 and lauric acid (alone or in combinations). In cell supernatants Luminex identified additional molecules with chemotactic and other pro-tumor functions. Focus on the adipokine leptin, which has been shown to have a central role in breast cancer pathogenesis, indicated it modulates macrophage phenotypes and functions. In vivo experiments demonstrate that mammary tumors from obese mice are larger and that bAT from obese tumor-bearers contains higher numbers of macrophages/CLS and hypertrophic adipocytes than bAT from lean tumor-bearers, thus confirming it is more inflamed. Also, bAT distal from the tumor is more inflamed in obese than in lean mice. Our results reveal that bAT plays a role in breast cancer development in obesity.
Dissecting direct and indirect readout of cAMP receptor protein DNA binding using an inosine and 2,6-diaminopurine in vitro selection system

The DNA interaction of the Escherichia coli cyclic AMP receptor protein (CRP) represents a typical example of a dual recognition mechanism exhibiting both direct and indirect readout. We have dissected the direct and indirect components of DNA recognition by CRP employing in vitro selection of a random library of DNA-binding sites containing inosine (I) and 2,6-diaminopurine (D) instead of guanine and adenine, respectively. Accordingly, the DNA helix minor groove is structurally altered due to the ‘transfer’ of the 2-amino group of guanine (now I) to adenine (now D), whereas the major groove is functionally intact. The majority of the selected sites contain the natural consensus sequence TGTGAN6TCACA (i.e. TITIDN6TCDCD). Thus, direct readout of the consensus sequence is independent of minor groove conformation. Consequently, the indirect readout known to occur in the TG/CA base pair step (primary kink site) in the consensus sequence is not affected by I–D substitutions. In contrast, the flanking regions are selected as I/C rich sequences (mostly I-tracts) instead of A/T rich sequences which are known to strongly increase CRP binding, thereby demonstrating almost exclusive indirect readout of helix structure/flexibility in this region through (anisotropic) flexibility of I-tracts.
The SpeDial datasets: datasets for Spoken Dialogue Systems analytics

The SpeDial consortium is sharing two datasets that were used during the SpeDial project. By sharing them with the community we are providing a resource to reduce the duration of cycle of development of new Spoken Dialogue Systems (SDSs). The datasets include audios and several manual annotations, i.e., miscommunication, anger, satisfaction, repetition, gender and task success. The datasets were created with data from real users and cover two different languages: English and Greek. Detectors for miscommunication, anger and gender were trained for both systems. The detectors were particularly accurate in tasks where humans have high annotator agreement such as miscommunication and gender. As expected due to the subjectivity of the task, the anger detector had a less satisfactory performance. Nevertheless, we proved that the automatic detection of situations that can lead to problems in SDSs is possible and can be a promising direction to reduce the duration of SDS’s development cycle.
Detection and Identification of Common Food-Borne Viruses with a Tiling Microarray

Microarray hybridization based identification of viral genotypes is increasingly assuming importance due to outbreaks of multiple pathogenic viruses affecting humans causing wide-spread morbidity and mortality. Surprisingly, microarray based identification of food-borne viruses, one of the largest groups of pathogenic viruses, causing more than 1.5 billion infections world-wide every year, has lagged behind. Cell-culture techniques are either unavailable or time consuming for routine application. Consequently, current detection methods for these pathogens largely depend on polymerase chain reaction (PCR) based techniques, generally requiring an investigator to preselect the target virus of interest. Here we describe the first attempt to use the microarray as an identification tool for these viruses. We have developed methodology to synthesize targets for virus identification without using PCR, making the process genuinely sequence independent. We show here that a tiling microarray can simultaneously detect and identify the genotype and strain of common food-borne viruses in a single experiment.