Intrinsic Alignment in redMaPPer clusters -- II. Radial alignment of satellites toward cluster centers

We study the orientations of satellite galaxies in redMaPPer clusters constructed from the Sloan Digital Sky Survey at $0.1<z<0.35$ to determine whether there is any preferential tendency for satellites to point radially toward cluster centers. We analyze the satellite alignment (SA) signal based on three shape measurement methods (re-Gaussianization, de Vaucouleurs, and isophotal shapes), which trace galaxy light profiles at different radii. The measured SA signal depends on these shape measurement methods. We detect the strongest SA signal in isophotal shapes, followed by de Vaucouleurs shapes. While no net SA signal is detected using re-Gaussianization shapes across the entire sample, the observed SA signal reaches a statistically significant level when limiting to a subsample of higher luminosity satellites. We further investigate the impact of noise, systematics, and real physical isophotal twisting effects in the comparison between the SA signal detected via different shape measurement methods. Unlike previous studies, which only consider the dependence of SA on a few parameters, here we explore a total of 17 galaxy and cluster properties, using a statistical model averaging technique to naturally account for parameter correlations and identify significant SA predictors. We find that the measured SA signal is strongest for satellites with the following characteristics: higher luminosity, smaller distance to the cluster center, rounder in shape, higher bulge fraction, and distributed preferentially along the major axis directions of their centrals. Finally, we provide physical explanations for the identified dependences, and discuss the connection to theories of SA.Comment: 25 pages, 16 figures, 7 tables, accepted to MNRAS. Main statistical analysis tool changed, with the results remain simila

Malignant phyllodes tumors display mesenchymal stem cell features and aldehyde dehydrogenase/disialoganglioside identify their tumor stem cells.

IntroductionAlthough breast phyllodes tumors are rare, there is no effective therapy other than surgery. Little is known about their tumor biology. A malignant phyllodes tumor contains heterologous stromal elements, and can transform into rhabdomyosarcoma, liposarcoma and osteosarcoma. These versatile properties prompted us to explore their possible relationship to mesenchymal stem cells (MSCs) and to search for the presence of cancer stem cells (CSCs) in phyllodes tumors.MethodsParaffin sections of malignant phyllodes tumors were examined for various markers by immunohistochemical staining. Xenografts of human primary phyllodes tumors were established by injecting freshly isolated tumor cells into the mammary fat pad of non-obese diabetic-severe combined immunodeficient (NOD-SCID) mice. To search for CSCs, xenografted tumor cells were sorted into various subpopulations by flow cytometry and examined for their in vitro mammosphere forming capacity, in vivo tumorigenicity in NOD-SCID mice and their ability to undergo differentiation.ResultsImmunohistochemical analysis revealed the expression of the following 10 markers: CD44, CD29, CD106, CD166, CD105, CD90, disialoganglioside (GD2), CD117, Aldehyde dehydrogenase 1 (ALDH), and Oct-4, and 7 clinically relevant markers (CD10, CD34, p53, p63, Ki-67, Bcl-2, vimentin, and Globo H) in all 51 malignant phyllodes tumors examined, albeit to different extents. Four xenografts were successfully established from human primary phyllodes tumors. In vitro, ALDH+ cells sorted from xenografts displayed approximately 10-fold greater mammosphere-forming capacity than ALDH- cells. GD2+ cells showed a 3.9-fold greater capacity than GD2- cells. ALDH+/GD2+cells displayed 12.8-fold greater mammosphere forming ability than ALDH-/GD2- cells. In vivo, the tumor-initiating frequency of ALDH+/GD2+ cells were up to 33-fold higher than that of ALDH+ cells, with as few as 50 ALDH+/GD2+ cells being sufficient for engraftment. Moreover, we provided the first evidence for the induction of ALDH+/GD2+ cells to differentiate into neural cells of various lineages, along with the observation of neural differentiation in clinical specimens and xenografts of malignant phyllodes tumors. ALDH+ or ALDH+/GD2+ cells could also be induced to differentiate into adipocytes, osteocytes or chondrocytes.ConclusionsOur findings revealed that malignant phyllodes tumors possessed many characteristics of MSC, and their CSCs were enriched in ALDH+ and ALDH+/GD2+ subpopulations

Ventricular divergence correlates with epicardial wavebreaks and predicts ventricular arrhythmia in isolated rabbit hearts during therapeutic hypothermia

INTRODUCTION: High beat-to-beat morphological variation (divergence) on the ventricular electrogram during programmed ventricular stimulation (PVS) is associated with increased risk of ventricular fibrillation (VF), with unclear mechanisms. We hypothesized that ventricular divergence is associated with epicardial wavebreaks during PVS, and that it predicts VF occurrence. METHOD AND RESULTS: Langendorff-perfused rabbit hearts (n = 10) underwent 30-min therapeutic hypothermia (TH, 30°C), followed by a 20-min treatment with rotigaptide (300 nM), a gap junction modifier. VF inducibility was tested using burst ventricular pacing at the shortest pacing cycle length achieving 1:1 ventricular capture. Pseudo-ECG (p-ECG) and epicardial activation maps were simultaneously recorded for divergence and wavebreaks analysis, respectively. A total of 112 optical and p-ECG recordings (62 at TH, 50 at TH treated with rotigaptide) were analyzed. Adding rotigaptide reduced ventricular divergence, from 0.13±0.10 at TH to 0.09±0.07 (p = 0.018). Similarly, rotigaptide reduced the number of epicardial wavebreaks, from 0.59±0.73 at TH to 0.30±0.49 (p = 0.036). VF inducibility decreased, from 48±31% at TH to 22±32% after rotigaptide infusion (p = 0.032). Linear regression models showed that ventricular divergence correlated with epicardial wavebreaks during TH (p<0.001). CONCLUSION: Ventricular divergence correlated with, and might be predictive of epicardial wavebreaks during PVS at TH. Rotigaptide decreased both the ventricular divergence and epicardial wavebreaks, and reduced the probability of pacing-induced VF during TH

MicroRNA-483 amelioration of experimental pulmonary hypertension.

Endothelial dysfunction is critically involved in the pathogenesis of pulmonary arterial hypertension (PAH) and that exogenously administered microRNA may be of therapeutic benefit. Lower levels of miR-483 were found in serum from patients with idiopathic pulmonary arterial hypertension (IPAH), particularly those with more severe disease. RNA-seq and bioinformatics analyses showed that miR-483 targets several PAH-related genes, including transforming growth factor-β (TGF-β), TGF-β receptor 2 (TGFBR2), β-catenin, connective tissue growth factor (CTGF), interleukin-1β (IL-1β), and endothelin-1 (ET-1). Overexpression of miR-483 in ECs inhibited inflammatory and fibrogenic responses, revealed by the decreased expression of TGF-β, TGFBR2, β-catenin, CTGF, IL-1β, and ET-1. In contrast, inhibition of miR-483 increased these genes in ECs. Rats with EC-specific miR-483 overexpression exhibited ameliorated pulmonary hypertension (PH) and reduced right ventricular hypertrophy on challenge with monocrotaline (MCT) or Sugen + hypoxia. A reversal effect was observed in rats that received MCT with inhaled lentivirus overexpressing miR-483. These results indicate that PAH is associated with a reduced level of miR-483 and that miR-483 might reduce experimental PH by inhibition of multiple adverse responses

Neural network based emulation of galaxy power spectrum covariances -- A reanalysis of BOSS DR12 data

We train neural networks to quickly generate redshift-space galaxy power spectrum covariances from a given parameter set (cosmology and galaxy bias). This covariance emulator utilizes a combination of traditional fully-connected network layers and transformer architecture to accurately predict covariance matrices for the high redshift, north galactic cap sample of the BOSS DR12 galaxy catalog. We run simulated likelihood analyses with emulated and brute-force computed covariances, and we quantify the network's performance via two different metrics: 1) difference in $\chi^2$ and 2) likelihood contours for simulated BOSS DR 12 analyses. We find that the emulator returns excellent results over a large parameter range. We then use our emulator to perform a re-analysis of the BOSS HighZ NGC galaxy power spectrum, and find that varying covariance with cosmology along with the model vector produces $\Omega_m = 0.276^{+0.013}_{-0.015}$, $H_0 = 70.2\pm 1.9$ km/s/Mpc, and $\sigma_8 = 0.674^{+0.058}_{-0.077}$. These constraints represent an average $0.46\sigma$ shift in best-fit values and a $5\%$ increase in constraining power compared to fixing the covariance matrix ($\Omega_m = 0.293\pm 0.017$, $H_0 = 70.3\pm 2.0$ km/s/Mpc, $\sigma_8 = 0.702^{+0.063}_{-0.075}$). This work demonstrates that emulators for more complex cosmological quantities than second-order statistics can be trained over a wide parameter range at sufficiently high accuracy to be implemented in realistic likelihood analyses.Comment: 11 pages, 8 figures, to be submitted to Physical Review

Situational teaching in nursing effectiveness of workplace violence prevention

Session presented on Monday, September 19, 2016: Workplace violence (WPV) is a serious issue in nursing in the healthcare setting. Healthcare workers are nearly four times more likely to be injured and require time away from work as a result of workplace violence (WPV) than all workers in the private sector combined. Prevention focused education is an important strategy to reduce the risk of violence. Patient violence against nurses in their work environments is a widespread global concern. A high prevalence of violent events impacts the well-being of nurses and may also impair overall ward climate. However, it has been proposed that nurses\u27 use limited techniques to prevent patient violence, and, therefore, more comprehensive methods for dealing with patient violence are needed. There is still restricted understanding of the ward climate during the occurrence of a violent event as well as how these incidents could be more effectively prevented. Nurses\u27 attitudes toward workplace violence are still inadequately explored, and possess an impact in preventing, and managing the violent incidents and the quality of nursing care. Creating a demand for an effective intervention program to improve nurses\u27 knowledge of and attitudes toward workplace violence. The aim of this study was constructed a situational teaching prevention training for WPV and a quasi-experimental design was used to determine the perception, attitudes and confidence in dealing WPV following an educational intervention. Sixty-six nurses that completed the WPV prevention program were enrolled in the study. Data were l and statistically analyzed by Generalized Estimating Equation (GEE). The results revealed that overall, the participants had improve significantly in their perception, attitudes and confidence in dealing WPV at post-test (p\u3c0.01). Meanwhile, after training with the program, the participants showed considerable improvements. In conclusion, using the WPV prevention training can improved the perception, attitudes and confidence in dealing WPV significantly Suggest the WPV prevention situational teaching education may be used as a regular training program for nurse. Specific training program for different department of healthcare setting and future studies were also suggested

CFD Analysis of Oil Distribution in Oil-injected Screw Compressor

Oil-injected screw compressor has been used in various industries. After decades of continuous research efforts by research teams around the world, the computer tools for rotor profile design, thermodynamic analysis, CFD/CAE calculation, and moving grid generation have been well developed and widely employed in design works. With assistance from the computer tools in performance simulation, designers could clearly understand internal phenomena of a screw compressor, as a reference for performance optimization design, and systematically carry out research works. One important issue inside an oil-injected screw compressor is about oil distribution. Different oil-injected positions and quantities cause different oil distribution inside the compressor. Therefore, the effects of oil sealing and lubrication change. Designers must understand how oil distribution is to deal with oil issues. In this study, CFD analysis was done with dynamic grid technology. Basic performance of screw compressor was calculated and compared with experiment data. Besides, three CFD models with different oil-injected paths were designed and analyzed. The influence of varying oil-injected conditions on oil distribution near contact line, sealing lines, blow holes, and end sides of inlet and outlet are shown in this study. They are used to explain how volumetric efficiency is affected. Especially for oil distribution near contact line, it not only affects volumetric efficiency, but also acts on the lubrication as rotor meshing

What is the key point for designing HER2 inhibitors?

[[abstract]]HER2 over-expression associates with many cancer symptoms, and the HER2 protein kinase was regarded as the target for cancer treatment. To develop the novel potent leads, homology modeling and structure-based design were employed to this research. Three clinical trail drugs and traditional Chinese medicine (TCM) database were employed to perform the docking. The top 7 compounds from database with higher DockScore were selected to develop 210 virtual compounds by De novo evolution, and the 210 derivative compounds were further conform the Lipinski's Rule (rule of five) to ensure the rational in real condition. In the docking result of serial selection, CLC015-5, CLC015-11, CLC015-12, CLC604-11, and CLC604-18 presented the pi-stacking interaction and hydrogen bond interaction with the key residues, and had higher DockScore than clinical trail drugs and original compounds. These five selected compounds were suggested the potent ATP-binding inhibitors and might guide for further drug design. ©2009 IEEE