Miracle-dz/UniFAR-FTUs huggingface dataset:
miR-450a-5p within rat adipose tissue exosome-like vesicles promotes adipogenic differentiation by targeting WISP2

ABSTRACT Adipose tissue is an active endocrine organ that can secrete a wide number of factors to regulate adipogenesis via paracrine signals. In addition to soluble proteins in adipose tissue, microRNAs (miRNAs) enriched in extracellular vesicles (EVs), such as exosomes or microvesicles, could modulate intercellular communications. In this study, we demonstrated that exosome-like vesicles derived from adipose tissue (Exo-AT) were internalized by adipose tissue-derived stem cells (ADSCs), and that these, in turn, induced adipogenesis. High-throughput sequencing showed that 45 miRNAs were enriched in Exo-AT, and 31.11% of them were associated with adipogenesis, compared with ADSC-derived exosome-like vesicles (Exo-ADSC). miR-450a-5p, one of the most abundant miRNAs in Exo-AT, was a proadipogenic miRNA. Further study demonstrated that miR-450a-5p promoted adipogenesis through repressing expression of WISP2 by targeting its 3′ untranslated region. Additionally, Exo-AT could also downregulate the expression of WISP2, while miR-450a-5p inhibitor reversed this effect. Moreover, inhibition of miR-450a-5p impaired adipogenesis mediated by exosome-like vesicles. In conclusion, Exo-AT mediates adipogenic differentiation through a mechanism involving transfer of miR-450a-5p. Summary: Exosome-like vesicles derived from adipose tissue promote adipogenesis through miR-450a-5p by targeting WISP2. This suggests that exosome-like vesicles can be involved in cell-to-cell communication during adipocyte differentiation.
Learning Word Embeddings for Hyponymy with Entailment-Based Distributional Semantics

Lexical entailment, such as hyponymy, is a fundamental issue in the semantics of natural language. This paper proposes distributional semantic models which efficiently learn word embeddings for entailment, using a recently-proposed framework for modelling entailment in a vector-space. These models postulate a latent vector for a pseudo-phrase containing two neighbouring word vectors. We investigate both modelling words as the evidence they contribute about this phrase vector, or as the posterior distribution of a one-word phrase vector, and find that the posterior vectors perform better. The resulting word embeddings outperform the best previous results on predicting hyponymy between words, in unsupervised and semi-supervised experiments.
Exploring the Relationship between English Composition Teachers' Beliefs about Written Feedback and Their Written Feedback Practices

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Behavioral Treatment for Chronic Low Back Pain: A Systematic Review Within the Framework of the Cochrane Back Review Group

Study Design. A systematic review of randomized controlled trials. Summary of Background Data. The treatment of chronic low back pain is not primarily focused on removing an underlying organic disease but at the reduction of disability through the modification of environmental contingencies and cognitive processes. Behavioral interventions are commonly used in the treatment of chronic (disabling) low back pain. Objectives. To determine whether behavioral therapy is more effective than reference treatments for chronic nonspecific low back pain and which type of behavioral treatment is most effective. Methods. The authors searched the Medline and PsychLit databases and the Cochrane Controlled Trials Register up to April 1999, and Embase up to September 1999. Also screened were references of identified randomized trials and relevant systematic reviews. Methodologic quality assessment and data extraction were performed independently by two reviewers. The magnitude of effect was assessed by computing a pooled effect size for each domain (i.e., behavioral outcomes, overall improvement, back pain–specific and generic functional status, return to work, and pain intensity) using the random effects model. Results. Only six (25%) studies were high quality. There is strong evidence (level 1) that behavioral treatment has a moderate positive effect on pain intensity (pooled effect size 0.62; 95% confidence interval [CI] 0.25, 0.98), and small positive effects on generic functional status (pooled effect size 0.35; 95% CI: 0.04, 0.74) and behavioral outcomes (pooled effect size 0.40; 95% CI: 0.10, 0.70) of patients with chronic low back pain when comparedwith waiting-list controls or no treatment. There is moderate evidence (level 2) that a addition of behavioral component to a usual treatment program for chronic low backpain has no positive short-term effect on generic functional status (pooled effect size 0.31; 95% CI: 0.01, 0.64), pain intensity (pooled effect size 0.03; 95% CI: 0.30,0.36), and behavioral outcomes (pooled effect size 0.19; 95% CI: 0.08, 0.45). Conclusions. Behavioral treatment seems to be an effective treatment for patients with chronic low back pain,but it is still unknown what type of patients benefit most from what type of behavioral treatment.
A Child's Development of Music Notation through Composition: A Case Study.

Learning to read and write music should be as natural as learning to read and write the English language. Similar instructional models can be used for both. This was the premise for the investigation of 5-year-old Joel's musical development. Joel was the youngest of a four-member musical family. He was surrounded by musical literature and role models, a learning environment typically encouraged by language instructors. Joel was allowed to develop his musical ability naturally, and he learned to write music long before he learned to read music. This is in keeping with Graves' (1983) report that 90 percent of 6-year-olds believed they could write music, while only 15 percent believed they could read music. Many Joel's first compositions were based on the black note pentatonic scale. Joel used a variety of standard and invented devices to indicate the number of events, pitch, duration, mood, register and tempo. At the end of the 8-month case study, Joel's writing ability exceeded his ability to read music notation. The intent of the case study was to understand the development and depth of one child's knowledge of music notation. (SW ************** ********** *** *** ******** * *** **** Reproductions supplied by EDRS are the best that can be made from the original document. ****** * ****************4******************************* A CHILD'S DEVELOPMENT OF MUSIC NOTATION THROUGH COMPOSITION: A CASE STUDY
Celecoxib and Diclofenac Plus Omeprazole are Similarly Effective in the Treatment of Arthritis in Patients at High GI Risk in the CONDOR Trial§

Objective: Compare effectiveness of celecoxib versus diclofenac plus omeprazole in improving arthritis signs and symptoms in patients at high gastrointestinal (GI) risk who were enrolled in the CONDOR (Celecoxib vs Omeprazole and Diclofenac in Patients With Osteoarthritis and Rheumatoid Arthritis) trial. Methods: CONDOR was a 6-month, prospective, double-blind, triple-dummy, parallel-group, randomized, multicenter trial comparing celecoxib 200 mg twice daily versus diclofenac slow release (SR) 75 mg twice daily plus omeprazole 20 mg daily. Patients were Helicobacter pylori negative, had osteoarthritis (OA) or rheumatoid arthritis (RA), were aged ≥60 years, were with or without a history of gastroduodenal ulceration, or were ≥18 years with previous gastroduodenal ulceration. Patients’ Global Assessment of Arthritis was determined at each study visit. Results: A total of 4484 patients were randomized to treatment (2238 celecoxib, 2246 diclofenac SR) and included in the intention-to-treat analyses. Least squares mean (LSM) (standard error [SE]) for Patients’ Global Assessment of Arthritis was 3.219 (0.017) and 3.221 (0.017) at baseline for celecoxib and diclofenac SR (p=0.90). Improvement in both groups was similar in months 2, 4, and 6; at month 1 the LSM (SE) was 2.647 (0.017) and 2.586 (0.017) for celecoxib and diclofenac (p=0.0025). LSM difference (SE) from baseline to final visit demonstrated an improvement of 0.75 (0.02) in celecoxib-treated patients and 0.77 (0.02) in diclofenac SR-treated patients (p=0.42). Conclusions: Celecoxib and diclofenac plus omeprazole were shown to have similar efficacy in patients with OA and/or RA at increased GI risk who were enrolled in the CONDOR trial. Trial Registry: Trial was registered under ClinicalTrials.gov identifier NCT00141102.
Occupational Exposure to Cobalt and Tungsten in the Swedish Hard Metal Industry: Air Concentrations of Particle Mass, Number, and Surface Area

Exposure to cobalt in the hard metal industry entails severe adverse health effects, including lung cancer and hard metal fibrosis. The main aim of this study was to determine exposure air concentration levels of cobalt and tungsten for risk assessment and dose–response analysis in our medical investigations in a Swedish hard metal plant. We also present mass-based, particle surface area, and particle number air concentrations from stationary sampling and investigate the possibility of using these data as proxies for exposure measures in our study. Personal exposure full-shift measurements were performed for inhalable and total dust, cobalt, and tungsten, including personal real-time continuous monitoring of dust. Stationary measurements of inhalable and total dust, PM2.5, and PM10 was also performed and cobalt and tungsten levels were determined, as were air concentration of particle number and particle surface area of fine particles. The personal exposure levels of inhalable dust were consistently low (AM 0.15mg m−3, range <0.023–3.0mg m−3) and below the present Swedish occupational exposure limit (OEL) of 10mg m−3. The cobalt levels were low as well (AM 0.0030mg m−3, range 0.000028–0.056mg m−3) and only 6% of the samples exceeded the Swedish OEL of 0.02mg m−3. For continuous personal monitoring of dust exposure, the peaks ranged from 0.001 to 83mg m−3 by work task. Stationary measurements showed lower average levels both for inhalable and total dust and cobalt. The particle number concentration of fine particles (AM 3000 p·cm−3) showed the highest levels at the departments of powder production, pressing and storage, and for the particle surface area concentrations (AM 7.6 µm2·cm−3) similar results were found. Correlating cobalt mass-based exposure measurements to cobalt stationary mass-based, particle area, and particle number concentrations by rank and department showed significant correlations for all measures except for particle number. Linear regression analysis of the same data showed statistically significant regression coefficients only for the mass-based aerosol measures. Similar results were seen for rank correlation in the stationary rig, and linear regression analysis implied significant correlation for mass-based and particle surface area measures. The mass-based air concentration levels of cobalt and tungsten in the hard metal plant in our study were low compared to Swedish OELs. Particle number and particle surface area concentrations were in the same order of magnitude as for other industrial settings. Regression analysis implied the use of stationary determined mass-based and particle surface area aerosol concentration as proxies for various exposure measures in our study.
Integrated Optimization of Trajectory Planning for Robot Manipulators Based on Intensified Evolutionary Programming

Optimal trajectory planning for robot manipulators is always the hot spot in the research field of robotics. The performance indexes used in optimal trajectory planning are classified into two main categories. One is called optimum traveling time. The other is called optimum mechanical energy of the actuators. The current trajectory planning algorithms are designed based on one of the above two performance indexes. Unfortunately, there are few planning algorithms designed to satisfy two performance indexes simultaneously. There are some deficiencies in the existing integrated optimization algorithms of trajectory planning. In order to overcome those deficiencies, the integrated optimization algorithms of trajectory planning are presented based on the complete analysis for trajectory planning of robot manipulators
Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data

With the development of information and communications technology, user-generated content and crowdsourced data are playing a large role in studies of transport and public health. Recently, Strava, a popular website and mobile app dedicated to tracking athletic activity (cycling and running), began offering a data service called Strava Metro, designed to help transportation researchers and urban planners to improve infrastructure for cyclists and pedestrians. Strava Metro data has the potential to promote studies of cycling and health by indicating where commuting and non-commuting cycling activities are at a large spatial scale (street level and intersection level). The assessment of spatially varying effects of air pollution during active travel (cycling or walking) might benefit from Strava Metro data, as a variation in air pollution levels within a city would be expected. In this paper, to explore the potential of Strava Metro data in research of active travel and health, we investigate spatial patterns of non-commuting cycling activities and associations between cycling purpose (commuting and non-commuting) and air pollution exposure at a large scale. Additionally, we attempt to estimate the number of non-commuting cycling trips according to environmental characteristics that may help identify cycling behavior. Researchers who are undertaking studies relating to cycling purpose could benefit from this approach in their use of cycling trip data sets that lack trip purpose. We use the Strava Metro Nodes data from Glasgow, United Kingdom in an empirical study. Empirical results reveal some findings that (1) when compared with commuting cycling activities, non-commuting cycling activities are more likely to be located in outskirts of the city; (2) spatially speaking, cyclists riding for recreation and other purposes are more likely to be exposed to relatively low levels of air pollution than cyclists riding for commuting; and (3) the method for estimating of the number of non-commuting cycling activities works well in this study. The results highlight: (1) a need for policymakers to consider how to improve cycling infrastructure and road safety in outskirts of cities; and (2) a possible way of estimating the number of non-commuting cycling activities when the trip purpose of cycling data is unknown.
Protecting Location Privacy in Wireless Sensor Networks against a Local Eavesdropper - A Survey

This paper presents the review of the existing privacy techniques in wireless sensor networks (WSN). There are two main categories of privacy preservation in WSN. They are data privacy and the context privacy. This paper presents the context privacy. In context privacy we focus on location privacy. Location privacy is defined as the location of the events. Location privacy is thus of the utmost importance. Failure to protect the physical location can cause loss of the information and subvert the entire network. Thus protection of the physical location is needed at data source and the data sink. Suppose we take the scenario of the panda – hunter where in sensors are being deployed in the forest to monitor the endangered pandas. The adversary is quite efficient to monitor the panda and capture the panda. So an analysis of the existing techniques against a local eavesdropper is being presented. This paper should be helpful for the research in privacy preservation in WSN in the future work.
Top-Down Activation of Shape-Specific Population Codes in Visual Cortex during Mental Imagery

Visual imagery is mediated via top-down activation of visual cortex. Similar to stimulus-driven perception, the neural configurations associated with visual imagery are differentiated according to content. For example, imagining faces or places differentially activates visual areas associated with perception of actual face or place stimuli. However, while top-down activation of topographically specific visual areas during visual imagery is well established, the extent to which internally generated visual activity resembles the fine-scale population coding responsible for stimulus-driven perception remains unknown. Here, we sought to determine whether top-down mechanisms can selectively activate perceptual representations coded across spatially overlapping neural populations. We explored the precision of top-down activation of perceptual representations using neural pattern classification to identify activation patterns associated with imagery of distinct letter stimuli. Pattern analysis of the neural population observed within high-level visual cortex, including lateral occipital complex, revealed that imagery activates the same neural representations that are activated by corresponding visual stimulation. We conclude that visual imagery is mediated via top-down activation of functionally distinct, yet spatially overlapping population codes for high-level visual representations.
Rank-normalized impact factor: A way to compare journal performance across subject categories

It is well known that uninformed science administrators often use ISI's journal impact factors without taking into account the inherent citation characteristics of individual scientific disciplines. A rank normalized impact factor (rnlF) is proposed which involves use of order statistics for the complete set of journals within each JCR category. We believe the normalization procedure provides reliable and easily interpretable values. For any journal j, its rnlF is designated as rnlF1and equals (K–R1+ 1)/K, where R1 is the descending rank of journal j in its JCR category and K is the number of journals in the category. Note: JCR impact factor listings are published in descending order. The proposed rnlF is compared with normalized impact factors proposed by earlier authors. The efficacy of the rnlF is illustrated in the cases of seven highly-cited scientists, one each from seven different fields.
Sustained Reduction of Ventilator-Associated Pneumonia Rates Using Real-Time Course Correction With a Ventilator Bundle Compliance Dashboard

BACKGROUND The effectiveness of practice bundles on reducing ventilator-associated pneumonia (VAP) has been questioned. OBJECTIVE To implement a comprehensive program that included a real-time bundle compliance dashboard to improve compliance and reduce ventilator-associated complications. DESIGN Before-and-after quasi-experimental study with interrupted time-series analysis. SETTING Academic medical center. METHODS In 2007 a comprehensive institutional ventilator bundle program was developed. To assess bundle compliance and stimulate instant course correction of noncompliant parameters, a real-time computerized dashboard was developed. Program impact in 6 adult intensive care units (ICUs) was assessed. Bundle compliance was noted as an overall cumulative bundle adherence assessment, reflecting the percentage of time all elements were concurrently in compliance for all patients. RESULTS The VAP rate in all ICUs combined decreased from 19.5 to 9.2 VAPs per 1,000 ventilator-days following program implementation (P<.001). Bundle compliance significantly increased (Z100 score of 23% in August 2007 to 83% in June 2011 [P<.001]). The implementation resulted in a significant monthly decrease in the overall ICU VAP rate of 3.28/1,000 ventilator-days (95% CI, 2.64–3.92/1,000 ventilator-days). Following the intervention, the VAP rate decreased significantly at a rate of 0.20/1,000 ventilator-days per month (95% CI, 0.14–0.30/1,000 ventilator-days per month). Among all adult ICUs combined, improved bundle compliance was moderately correlated with monthly VAP rate reductions (Pearson correlation coefficient, −0.32). CONCLUSION A prevention program using a real-time bundle adherence dashboard was associated with significant sustained decreases in VAP rates and an increase in bundle compliance among adult ICU patients. Infect. Control Hosp. Epidemiol. 2015;36(11):1261–1267
Flow‐covariate prediction of stream pesticide concentrations

Potential peak functions (e.g., maximum rolling averages over a given duration) of annual pesticide concentrations in the aquatic environment are important exposure parameters (or target quantities) for ecological risk assessments. These target quantities require accurate concentration estimates on nonsampled days in a monitoring program. We examined stream flow as a covariate via universal kriging to improve predictions of maximum m‐day (m = 1, 7, 14, 30, 60) rolling averages and the 95th percentiles of atrazine concentration in streams where data were collected every 7 or 14 d. The universal kriging predictions were evaluated against the target quantities calculated directly from the daily (or near daily) measured atrazine concentration at 32 sites (89 site‐yr) as part of the Atrazine Ecological Monitoring Program in the US corn belt region (2008–2013) and 4 sites (62 site‐yr) in Ohio by the National Center for Water Quality Research (1993–2008). Because stream flow data are strongly skewed to the right, 3 transformations of the flow covariate were considered: log transformation, short‐term flow anomaly, and normalized Box‐Cox transformation. The normalized Box‐Cox transformation resulted in predictions of the target quantities that were comparable to those obtained from log‐linear interpolation (i.e., linear interpolation on the log scale) for 7‐d sampling. However, the predictions appeared to be negatively affected by variability in regression coefficient estimates across different sample realizations of the concentration time series. Therefore, revised models incorporating seasonal covariates and partially or fully constrained regression parameters were investigated, and they were found to provide much improved predictions in comparison with those from log‐linear interpolation for all rolling average measures. Environ Toxicol Chem 2018;37:260–273. © 2017 SETAC
Implicit Finite-Difference Simulations of Three-Dimensional Compressible Flow

An implicit finite-difference procedure for unsteady three-dimensional flow capable of handling arbitrary geometry through the use of general coordinate transformations is described. Viscous effects are optionally incorporated with a "thin-layer" approximation of the Navier-Stokes equations. An implicit approximate factorization technique is employed so that the small grid sizes required for spatial accuracy and viscous resolution do not impose stringent stability limitations. Results obtained from the program include transonic inviscid or viscous solutions about simple body configurations. Comparisons with existing theories and experiments are made. Numerical accuracy and the effect of three-dimensi onal coordinate singularities are also discussed.
Clinical study of lymphatic flow to the paraaortic lymph nodes in carcinoma of the head of the pancreas

Background. At Kanazawa University, the authors have been developing an appropriate radical operation for the treatment of cancer of the head of the pancreas. As a result of previous research, it was believed that lymphatic metastasis of carcinoma of the head of the pancreas should be investigated more thoroughly to improve the surgical results.