Miracle-dz/UniFAR-FTUs huggingface dataset:
Inhibition of spleen tyrosine kinase prevents mast cell activation and airway hyperresponsiveness.

RATIONALE Spleen tyrosine kinase (Syk) is important for Fc and B-cell receptor-mediated signaling. OBJECTIVE To determine the activity of a specific Syk inhibitor (R406) on mast cell activation in vitro and on the development of allergen-induced airway hyperresponsiveness (AHR) and inflammation in vivo. METHODS AHR and inflammation were induced after 10 d of allergen (ovalbumin [OVA]) exposure exclusively via the airways and in the absence of adjuvant. This approach was previously established to be IgE, FcepsilonRI, and mast cell dependent. Alternatively, mice were passively sensitized with OVA-specific IgE, followed by limited airway challenge. In vitro, the inhibitor was added to cultures of IgE-sensitized bone marrow-derived mast cells (BMMCs) before cross-linking with allergen. RESULTS The inhibitor prevented OVA-induced degranulation of passively IgE-sensitized murine BMMCs and inhibited the production of interleukin (IL)-13, tumor necrosis factor alpha, IL-2, and IL-6 in these sensitized BMMCs. When administered in vivo, R406 inhibited AHR, which developed in BALB/c mice exposed to aerosolized 1% OVA for 10 consecutive d (20 min/d), as well as pulmonary eosinophilia and goblet cell metaplasia. A similar inhibition of AHR was demonstrated in mice passively sensitized with OVA-specific IgE and exposed to limited airway challenge. CONCLUSION This study delineates a functional role for Syk in the development of mast cell- and IgE-mediated AHR and airway inflammation, and these results indicate that inhibition of Syk may be a target in the treatment of allergic asthma.
Preparation and characterization of flexible nanoliposomes loaded with daptomycin, a novel antibiotic, for topical skin therapy

The purpose of this study was to investigate flexible nanoliposomes for mediating topical delivery of daptomycin, and to document permeation rates and bacteriostatic activity towards skin infections. Response surface methodology was used to optimize the daptomycin-loaded flexible nanoliposomes (DAP-FL), and the amount of drug loaded into the particles was evaluated as the investigation index. The optimal lipid ratio was lecithin to sodium cholate 17:1 (w/w) and the lipid to drug ratio was 14:1 (w/w). The hydration temperature was set at 37°C and the duration of treatment with ultrasound was 20 minutes. The DAP-FL obtained had a small mean particle size (55.4 nm) with a narrow size distribution (polydispersity index 0.15). The mean entrapment efficiency was 87.85% ± 2.15% and the mean percent drug loading was 5.61% ± 0.14%. Using skin mounted between the donor and receptor compartments of a modified Franz diffusion cell, the percentage and quantity of cumulative daptomycin permeation from DAP-FL within 12 hours were measured at 96.28% ± 0.70% and (132.23 ± 17.73) μg/cm2 *5 = 661.15 ± 88.65 μg/cm2, directly, showing rapid and efficient antibacterial activity against Staphylococcus aureus. Following local administration of DAP-FL, daptomycin was detected in multilayer tissues within the skin and underlying structures in the dorsal skin of the mouse. Effective therapeutic concentrations were maintained for several hours, and significantly inhibited bacterial growth and injury-induced biofilms. These results demonstrate that the DAP-FL can enhance the ability of daptomycin to permeate the skin efficiently, where it has a powerful antibacterial action and activity against biofilms. This novel formulation of daptomycin has potential as a new approach in the clinical application of daptomycin.
XMM-Newton observations of the cluster of galaxies Sérsic 159-03

The cluster of galaxies Sersic 159-03 was observed with the XMM-Newton X-ray observatory as part of the Guaranteed Time program. X-ray spectra taken with the EPIC and RGS instruments show no evidence for the strong cooling flow derived from previous X-ray observations. There is a significant lack of cool gas below 1.5 keV as compared to standard isobaric cooling flow models. While the oxygen is distributed more or less uniformly over the cluster, iron shows a strong concentration in the center of the cluster, slightly offset from the brightness center but within the central cD galaxy. This points to enhanced type Ia supernova activity in the center of the cluster. There is also an elongated iron-rich structure ex- tending to the east of the cluster, showing the inhomogeneity of the iron distribution. Finally, the temperature drops rapidly beyond 4' from the cluster center.
iCrowd: Near-Optimal Task Allocation for Piggyback Crowdsensing

This paper first defines a novel spatial-temporal coverage metric, k-depth coverage, for mobile crowdsensing (MCS) problems. This metric considers both the fraction of subareas covered by sensor readings and the number of sensor readings collected in each covered subarea. Then iCrowd, a generic MCS task allocation framework operating with the energy-efficient Piggyback Crowdsensing task model, is proposed to optimize the MCS task allocation with different incentives and k-depth coverage objectives/ constraints. iCrowd first predicts the call and mobility of mobile users based on their historical records, then it selects a set of users in each sensing cycle for sensing task participation, so that the resulting solution achieves two dual optimal MCS data collection goals-i.e., Goal. 1 near-maximal k-depth coverage without exceeding a given incentive budget or Goal. 2 near-minimal incentive payment while meeting a predefined k-depth coverage goal. We evaluated iCrowd extensively using a large-scale real-world dataset for these two data collection goals. The results show that: for Goal.1, iCrowd significantly outperformed three baseline approaches by achieving 3-60 percent higher k-depth coverage; for Goal.2, iCrowd required 10.0-73.5 percent less incentives compared to three baselines under the same k-depth coverage constraint.
Interpretation of Epithelial Lining Fluid Concentrations of Antibiotics against Methicillin Resistant Staphylococcus aureus

Although antibiotics whose epithelial lining fluid (ELF) concentrations are reported high tend to be preferred in treatment of pneumonia, measurement of ELF concentrations of antibiotics could be misled by contamination from lysis of ELF cells and technical errors of bronchoalveolar lavage (BAL). In this review, ELF concentrations of anti-methicillin resistant Staphylococcus aureus (MRSA) antibiotics were interpreted considering above confounding factors. An equation used to explain antibiotic diffusion into CSF (cerebrospinal fluid) was adopted: ELF/free serum concentration ratio = 0.96 + 0.091 × ln (partition coefficient / molecular weight1/2). Seven anti-MRSA antibiotics with reported ELF concentrations were fitted to this equation to see if their ELF concentrations were explainable by the penetration capacity only. Then, outliers were modeled under the assumption of varying contamination from lysed ELF cells (test range 0-10% of ELF volume). ELF concentrations of oritavancin, telavancin, tigecycline, and vancomycin were well described by the diffusion equation, with or without additional impact from cell lysis. For modestly high ELF/free serum concentration ratio of linezolid, technical errors of BAL should be excluded. Although teicoplanin and iclaprim showed high ELF/free serum ratios also, their protein binding levels need to be cleared for proper interpretation. At the moment, it appears very premature to use ELF concentrations of anti-MRSA antibiotics as a relevant guide for treatment of lung infections by MRSA.
The collaborative cube puzzle: a comparison of virtual and real environments

In this study we compared collaboration on a puzzle-solving task carried out by two persons in a virtual and a real environment. The task, putting together a cube consisting of different coloured blocks in a 'Rubiks' cubetype puzzle, was performed both in a shared virtual environment (VE) setting, using a Cave-type virtual reality (VR) system networked with a desktop VR system, and with cardboard coloured blocks in an equivalent real setting. The aims of the study were to investigate collaboration, leadership and performance in the two settings. We found that the participants contributed unequally to the task in the VE, and also differences in collaboration between the virtual and the real setting.
Are you interested in computers and electronics?

Secondary school students, when investigating tertiary study, have little opportunity to discover what a particular course has to offer and often have a poor understanding of employment options in that field. Further, many secondary schools have limited resources, and are thus unable to provide career advice in any detail. Whilst University Open Days' are a good opportunity for information seeking, we often experience parents driving the direction of the student's choice. In 1997 a program was initiated aimed at informing students about the “Bachelor of Digital System” at Monash University as a course option. Because the degree involves both digital hardware and computing, a project that offered both disciplines in a non-trivial task was desirable. The development of a computer controlled house in which electronic appliances could be monitored and operated via a computer was proposed. This system is known as the “Smart House”. In this paper we will discuss the concept of the Smart House with an overview of the equipment. Discussion of activities in the workshops, and feedback from participants, is also covered. One of the major outcomes mentioned by participants was that the construction of hardware and software was both fun and new, and lead to a real sense of achievement.
Constraining the radio-submillimetre redshift indicator using data from the SCUBA Local Universe Galaxy Survey

Many of the faint submm sources uncovered by deep SCUBA surveys still remain unidentified at most, if not all, other wavelengths. The most successful method so far of obtaining accurate positions and hence allowing more secure identifications has been to use centimetre-wavelength imaging with the VLA. This has led to a tempting approach for obtaining redshift estimates for this population by Carilli & Yun, which relies on the tight FIR-radio relationship and takes advantage of the steep spectral slope in the submm. In this paper we use the submm data from the SCUBA Local Universe Galaxy Survey (SLUGS) to estimate the usefulness of, and the uncertainties in, the radio-submm redshift estimator. If the submm-radio spectral index were correlated with either dust temperature or 850-μm luminosity, this method could produce biased redshift estimates for 850-μm selected galaxies. We find, however, that within SLUGS, these correlations are not significant. The ratio of 850-μm to 1.4-GHz flux is found to decrease with increasing radio and FIR luminosity, and we propose that this is due to a component of the dust not associated with recent star formation, but which is instead heated to 15–20 K by the general interstellar radiation field.
Are Women With Polycystic Ovarian Syndrome at a High Risk of Non-Alcoholic Fatty Liver Disease; A Meta-Analysis

Context: Insulin resistance is a hallmark of metabolic syndrome (MS). It has been proposed that both polycystic ovarian syndrome (PCOS) and nonalcoholic fatty liver disease (NAFLD) are correlated with Insulin resistance. Therefore, PCOS and NAFLD can be attributed with insulin resistance and therefore MS. The aim of this meta-analysis was to determine whether PCOS patients are at a high risk of NAFLD. Evidence Acquisition: Google scholar, Scopus, ISI Web of Science, Embase, MEDLINE, and some Iranian databases such as scientific information database (SID), IranMedex, and MagIran were searched to identify relevant studies. We included all papers regardless of their language from January 1985 to June 2013. By using data on prevalence of NAFLD in patients with and without PCOS, odds ratio (OR) with 95% confidence intervals (CIs) were calculated in each study. Chi-squared test was used to assess heterogeneity between studies. Results: We finally included seven eligible studies. According to chi-squared test, there was a significant heterogeneity (73.6%) between studies (P = 0.001). NAFLD prevalence was significantly higher in patients with PCOS compared to healthy control, with an overall OR of 3.93 (95% CI: 2.17, 7.11). There was no significant publication bias based on Begg's and Egger's tests. Conclusions: According to the results of this meta-analysis, there was a high risk of NAFLD in women with PCOS. We suggest evaluating patients with PCOS regarding NAFLD.
Expression, Purification, and Characterization of Interleukin-11 Orthologues

Interleukin-11 (IL-11) is a multifunctional cytokine implicated in several normal and pathological processes. The decoding of IL-11 function and development of IL-11-targeted drugs dictate the use of laboratory animals and need of the better understanding of species specificity of IL-11 signaling. Here, we present a method for the recombinant interleukin-11 (rIL-11) production from the important model animals, mouse and macaque. The purified mouse and macaque rIL-11 interact with extracellular domain of human IL-11 receptor subunit α and activate STAT3 signaling in HEK293 cells co-expressing human IL-11 receptors with efficacies resembling those of human rIL-11. Hence, the evolutionary divergence does not impair IL-11 signaling. Furthermore, compared to human rIL-11 its macaque orthologue is 8-fold more effective STAT3 activator, which favors its use for treatment of thrombocytopenia as a potent substitute for human rIL-11. Compared to IL-6, IL-11 signaling exhibits lower species specificity, likely due to less conserved intrinsic disorder propensity within IL-6 orthologues. The developed express method for preparation of functionally active macaque/mouse rIL-11 samples is suited for exploration of the molecular mechanisms underlying IL-11 action and for development of the drug candidates for therapy of oncologic/hematologic/inflammatory diseases related to IL-11 signaling.
The wordNet based semantic relationship between tags in folksonomies

Collaborative tagging is a popular method in social resource sharing system. The reason why collaborative tagging system becomes popular is users can freely tags on the resources, like Flickr1 and Delicious2 . Any relationship between tags and resources are not made explicitly when tagging in folksonomy. Due to lack of semantic meaning, it is difficult for users to find related resources. Also, short of sufficient number of relevant tags increase the data sparsity which decreases the rate of information extraction against the user queries. Defining semantic relationship between tags, resources and users is an important research issue to retrieval of related information from folksonomies. In this paper, we propose a WordNet based method to find the semantic relationship between tags in folksonomy. Finally, the experiment results using Flickr data show our proposed method works well finding semantic relationship between tags in folksonomy.
Scrap more boilerplate: reflection, zips, and generalised casts

Writing boilerplate code is a royal pain. Generic programming promises to alleviate this pain by allowing the programmer to write a generic "recipe" for boilerplate code, and use that recipe in many places. In earlier work we introduced the "Scrap your boilerplate" approach to generic programming, which exploits Haskell's existing type-class mechanism to support generic transformations and queries.This paper completes the picture. We add a few extra "introspective" or "reflective" facilities, that together support a rich variety of serialisation and de-serialisation. We also show how to perform generic "zips", which at first appear to be somewhat tricky in our framework. Lastly, we generalise the ability to over-ride a generic function with a type-specific one.All of this can be supported in Haskell with independently-useful extensions: higher-rank types and type-safe cast. The GHC implementation of Haskell readily derives the required type classes for user-defined data types.
Long-Term Relations Among Prosocial-Media Use, Empathy, and Prosocial Behavior

Despite recent growth of research on the effects of prosocial media, processes underlying these effects are not well understood. Two studies explored theoretically relevant mediators and moderators of the effects of prosocial media on helping. Study 1 examined associations among prosocial- and violent-media use, empathy, and helping in samples from seven countries. Prosocial-media use was positively associated with helping. This effect was mediated by empathy and was similar across cultures. Study 2 explored longitudinal relations among prosocial-video-game use, violent-video-game use, empathy, and helping in a large sample of Singaporean children and adolescents measured three times across 2 years. Path analyses showed significant longitudinal effects of prosocial- and violent-video-game use on prosocial behavior through empathy. Latent-growth-curve modeling for the 2-year period revealed that change in video-game use significantly affected change in helping, and that this relationship was mediated by change in empathy.
Nonlinear stability of source defects in the complex Ginzburg–Landau equation

In an appropriate moving coordinate frame, source defects are time-periodic solutions to reaction–diffusion equations that are spatially asymptotic to spatially periodic wave trains whose group velocities point away from the core of the defect. In this paper, we rigorously establish nonlinear stability of spectrally stable source defects in the complex Ginzburg–Landau equation. Due to the outward transport at the far field, localized perturbations may lead to a highly non-localized response even on the linear level. To overcome this, we first investigate in detail the dynamics of the solution to the linearized equation. This allows us to determine an approximate solution that satisfies the full equation up to and including quadratic terms in the nonlinearity. This approximation utilizes the fact that the non-localized phase response, resulting from the embedded zero eigenvalues, can be captured, to leading order, by the nonlinear Burgers equation. The analysis is completed by obtaining detailed estimates for the resolvent kernel and pointwise estimates for Green's function, which allow one to close a nonlinear iteration scheme.
Complementary and Alternative Medicine Use and Latina Breast Cancer Survivors’ Symptoms and Functioning

Complementary and alternative medicine (CAM) is used widely in cancer populations, particularly among women, and has shown promise for addressing symptom and functioning outcomes. Few studies to date have evaluated CAM use and associations over time with symptoms and function among Latina breast cancer survivors. We administered a baseline (N = 136) and follow-up (n = 58) telephone survey in Spanish or English assessing Latina breast cancer survivor demographics, physical function, anxiety, depression, fatigue, satisfaction with social roles, and both CAM activities and devotional and spiritual practices. About one-third of our sample (35% baseline; 36% follow-up) reported using CAM (yoga, meditation, massage, or herbal/dietary supplements). We assessed devotional and spiritual practices separately from CAM (church attendance, prayer, religious groups, and reading devotional and religious texts); the majority of Latina survivors reported devotional and spiritual practices (80% baseline; 81% follow-up). At baseline, CAM demonstrated a positive association with better physical functioning and lower depression. In contrast, CAM use at the time of follow-up appeared to be related to lower levels of satisfaction with social roles and physical function. In longitudinal analyses, devotional and spiritual practices at baseline significantly predicted lower anxiety, depression, and fatigue at follow-up. Findings suggest CAM plays a complex and not always linear role in symptoms and function outcomes for Latina breast cancer survivors. These findings contribute to the literature on longitudinal CAM use and associations with symptom and functioning outcomes among Latina breast cancer survivors.
Television leads to increase in parent adolescent conflict

The study explored the link between Indian adolescents' television viewing and parent adolescent conflict. The sample consisted of male and female children (N=400) aged 12-15 years. It was hypothesized that heavy viewers of TV (watching >3 h of television) would be significantly higher on intensity and frequency of conflicts with their parents. The respondents were divided in to heavy (>3 h/day) and light viewers (<3 h/day) on the basis of the reported daily television viewing time in the questionnaire by Nanglu and Banth (2006) and Prinz et al. checklist was used to measure the intensity and frequency of conflict. Data was analyzed by t-ratio and regression analysis. Heavy viewers reported a significantly higher intensity and greater frequency of conflict with their parents as compared to the light viewers. The intensity and frequency of parents-adolescents' conflict reported a significant positive correlation with viewing of informative, entertainment, and horror/violent programs. This is indicative of the fact that the extent of television viewing and content of television viewing influences the parent adolescents' relationship quality.
Backward and Forward Language Modeling for Constrained Sentence Generation

Recent language models, especially those based on recurrent neural networks (RNNs), make it possible to generate natural language from a learned probability. Language generation has wide applications including machine translation, summarization, question answering, conversation systems, etc. Existing methods typically learn a joint probability of words conditioned on additional information, which is (either statically or dynamically) fed to RNN's hidden layer. In many applications, we are likely to impose hard constraints on the generated texts, i.e., a particular word must appear in the sentence. Unfortunately, existing approaches could not solve this problem. In this paper, we propose a novel backward and forward language model. Provided a specific word, we use RNNs to generate previous words and future words, either simultaneously or asynchronously, resulting in two model variants. In this way, the given word could appear at any position in the sentence. Experimental results show that the generated texts are comparable to sequential LMs in quality.
1 - A structural VAR approach to core inflation and its relevance for monetary policy. - Jun 1999

When measures of core or underlying inflation are discussed, several measurement techniques are often referred to. Simplifying somehow, three major approaches can be distinguished. A first approach tries to remove from headline inflation, measured on the basis of the CPI, the component that is judged to be of a temporary nature and therefore veils the "true" or underlying (core) trend of inflation. This component is considered as noise. Traditionally the noise is removed on an ad hoc basis either by a smoothing technique or by the so called "zero weighting" technique, which gives a zero weight to those components of the CPI which are thought to be the source of the noise. Examples of measures of core inflation such as these are the well-known CPI excluding energy and seasonal food, or the CPI excluding changes in indirect taxes. In practice, these measures are very often used, probably because they are easy to calculate and are, from the point of view of the user, relatively transparent. However from a theoretical angle, they have the disadvantage that the selection of the removed components is made on a purely arbitrary basis.