Miracle-dz/UniFAR-FTUs huggingface dataset:
A virus-targeted plant receptor-like kinase promotes cell-to-cell spread of RNAi

Significance In plants, RNA interference (RNAi) is the main antiviral defense mechanism. RNAi moves cell-to-cell through cytoplasmic channels called plasmodesmata, spreading ahead of the viral infection to immunize tissues before arrival of the virus. How this movement is regulated has been elusive. Here, we identify a plant protein, BAM1, localized at plasmodesmata and promoting RNAi spread; both BAM1 and its closest homolog, BAM2, are required for this process. In agreement with their role in promoting RNAi movement, we found that BAM1 and BAM2 are targeted by a viral effector, which acts as a suppressor of RNAi spread. Our work offers insight into the regulation of cell-to-cell spread of RNAi and provides another example of the arms race between pathogens and hosts. RNA interference (RNAi) in plants can move from cell to cell, allowing for systemic spread of an antiviral immune response. How this cell-to-cell spread of silencing is regulated is currently unknown. Here, we describe that the C4 protein from Tomato yellow leaf curl virus can inhibit the intercellular spread of RNAi. Using this viral protein as a probe, we have identified the receptor-like kinase (RLK) BARELY ANY MERISTEM 1 (BAM1) as a positive regulator of the cell-to-cell movement of RNAi, and determined that BAM1 and its closest homolog, BAM2, play a redundant role in this process. C4 interacts with the intracellular domain of BAM1 and BAM2 at the plasma membrane and plasmodesmata, the cytoplasmic connections between plant cells, interfering with the function of these RLKs in the cell-to-cell spread of RNAi. Our results identify BAM1 as an element required for the cell-to-cell spread of RNAi and highlight that signaling components have been coopted to play multiple functions in plants.
Study of Hexane Adsorption on Activated Carbons with Differences in Their Surface Chemistry

The study of aliphatic compounds adsorption on activated carbon can be carried out from the energetic change involved in the interaction; the energy values can be determined from isotherms or by the immersion enthalpy. Vapor phase adsorption isotherms of hexane at 263 K on five activated carbons with different content of oxygenated groups and the immersion enthalpy of the activated carbons in hexane and water were determined in order to characterize the interactions in the solid–liquid system, and for calculating the hydrophobic factor of the activated carbons. The micropore volume and characteristic energy from adsorption isotherms of hexane, the BET (Brunauer–Emmett–Teller) surface area from the adsorption isotherms of N2, and the area accessible to the hexane from the immersion enthalpy were calculated. The activated carbon with the lowest content of oxygenated groups (0.30 µmolg−1) and the highest surface area (996 m2g−1) had the highest hexane adsorption value: 0.27 mmol g−1; the values for Eo were between 5650 and 6920 Jmol−1 and for ΔHim were between −66.1 and −16.4 Jg−1. These determinations allow us to correlate energetic parameters with the surface area and the chemical modifications that were made to the solids, where the surface hydrophobic character of the activated carbon favors the interaction.
Analysis of dispersion splitting on light line by characteristic roots of retarded circuit equation

To design electromagnetic phenomena in complex metallic structures such as metamaterials, it is useful to analyze them by equivalent circuit models. Although general equivalent circuit models do not have retardations of electromagnetic couplings, the model derived theoretically from Maxwell's equation includes the retardation. The retardation causes the singularity on the light line of the dispersion curve. In order to find the dispersion curve, we usually pick up the most dominant root in the infinite characteristic roots. However, considering the other characteristic roots, we find another dispersion curve and clarify the coupling between the light line and plasmonic modes.
Added Value of Estrogen Receptor, Progesterone Receptor, and L1 Cell Adhesion Molecule Expression to Histology-Based Endometrial Carcinoma Recurrence Prediction Models: An ENITEC Collaboration Study

Objectives Endometrial carcinoma mortality is mainly caused by recurrent disease, and various immunohistochemical markers to predict recurrences have been studied. Loss of the estrogen receptor (ER) and progesterone receptor (PR) and the presence of the L1 cell adhesion molecule (L1CAM) are promising markers, but their combined value has not been studied. Materials and Methods Expression of ER, PR, and L1CAM was immunohistochemically determined in 293 endometrial carcinomas from 11 collaborating European Network for Individualized Treatment of Endometrial Cancer centers. Estrogen receptor, PR, or L1CAM staining was considered positive or negative when expressed by greater than or equal to 10% or less than 10% of the tumor cells, respectively. The association between these markers and clinicopathological markers, and their combined value in predicting survival were calculated, both in the entire cohort and in a selected groups of stage I endometrioid and low-risk stage I endometrioid carcinomas. Results Estrogen receptor and PR were negative in 19% and 28% of the cases, respectively, and L1CAM was positive in 18%. All 3 were associated with advanced stage, high-grade, nonendometrioid histology, lymphovascular space invasion (LVSI), and reduced disease-free survival. Only advanced stage, loss of PR, and LVSI were associated with reduced disease-free survival in multivariate analysis. A prognostic model including these 3 markers was superior to 1 including only the 3 immunohistochemical markers, which was superior to the traditional model. In both the stage I endometrioid and the low-risk stage I endometrioid groups, only loss of PR was associated with reduced disease-free survival. Conclusions Loss of ER and PR, and the presence of L1CAM are associated with high risk characteristics, and loss of PR is the strongest predictor of recurrent disease. Although a combination of these 3 markers is slightly superior to the traditional histological markers, a prognostic model including stage, PR expression, and LVSI is the most promising model in the identification of high risk carcinomas. In the stage I endometrioid carcinomas, PR immunohistochemistry appears to be of additional value in predicting recurrences.
Language virtualization for heterogeneous parallel computing

As heterogeneous parallel systems become dominant, application developers are being forced to turn to an incompatiblemix of low level programming models (e.g. OpenMP, MPI, CUDA, OpenCL). However, these models do little to shield developers from the difficult problems of parallelization, data decomposition and machine-specific details. Most programmersare having a difficult time using these programming models effectively. To provide a programming modelthat addresses the productivity and performance requirements for the average programmer, we explore a domainspecificapproach to heterogeneous parallel programming. We propose language virtualization as a new principle that enables the construction of highly efficient parallel domain specific languages that are embedded in a common host language. We define criteria for language virtualization and present techniques to achieve them.We present two concrete case studies of domain-specific languages that are implemented using our virtualization approach.
More Adaptive Algorithms for Adversarial Bandits

We develop a novel and generic algorithm for the adversarial multi-armed bandit problem (or more generally the combinatorial semi-bandit problem). When instantiated differently, our algorithm achieves various new data-dependent regret bounds improving previous works. Examples include: 1) a regret bound depending on the variance of only the best arm; 2) a regret bound depending on the first-order path-length of only the best arm; 3) a regret bound depending on the sum of first-order path-lengths of all arms as well as an important negative term, which together lead to faster convergence rates for some normal form games with partial feedback; 4) a regret bound that simultaneously implies small regret when the best arm has small loss and logarithmic regret when there exists an arm whose expected loss is always smaller than those of others by a fixed gap (e.g. the classic i.i.d. setting). In some cases, such as the last two results, our algorithm is completely parameter-free. The main idea of our algorithm is to apply the optimism and adaptivity techniques to the well-known Online Mirror Descent framework with a special log-barrier regularizer. The challenges are to come up with appropriate optimistic predictions and correction terms in this framework. Some of our results also crucially rely on using a sophisticated increasing learning rate schedule.
A Unified Joint Model to Deal With Nuisance Variabilities in the i-Vector Space

The past decade has witnessed a significant improvement in speaker recognition (SR) technology in terms of performance with the introduction of the i-vectors framework. Despite these advances, the performance of SR systems considerably suffers in the presence of acoustic nuisances and variabilities. In this paper, we develop a data-driven nuisance compensation technique in the i-vector space without referring to the effects of the targeted nuisances in the temporal domain. This approach is nonparametric as it does not suppose a specific relationship between a “good” version of an i-vector and its corrupted version. Instead, our algorithm models directly the joint distribution of both representations (the good i-vector and its corrupted version) and takes advantage of the reproducibility of acoustic corruptions to generate the corrupted i-vectors. We then build an MMSE estimator that computes an improved version of a corrupted test i-vector, given this joint distribution. Experiments are carried out on NIST SRE 2010 and speakers in the wild databases where the proposed algorithm is used to deal with additive noise and short utterances. Our technique is shown to be efficient, improving the baseline system performance in terms of equal-error rate by up to 70% when used on known test noises and up to 65% in the context of unseen noises using a generic model. It was also proven efficient in the context of duration mismatch reaching up to 40% of relative improvement when used on short utterances using multiple models corresponding to different durations and up to 36% when used on arbitrary duration test segments.
Using video microscopy to improve quantitative estimates of protozoal motility and cell volume.

The objective of this study was to apply digital imaging to improve quantification of rumen protozoal biomass and distinguish treatment differences in cell motility and volume among ruminal protozoa. Observations of protozoa in rumen fluid treated with essential oils (CinnaGar, CIN; Provimi North America, Brookville, OH) or an ionophore (monensin, MON) indicated possible cell shrinkage. We hypothesized that MON would decrease protozoal motility and interact with CIN on cell volume. In addition, we hypothesized that analysis of still frames from video of swimming protozoa would improve volume prediction accuracy. Flocculated rumen fluid was incubated in batch culture dosed with N-free feed only (control), MON, CIN, or a combination of MON+CIN. Samples were taken at 0, 3, or 6 h post-treatment and wet-mounted on a microscope fitted with a high-definition camera. At 3 h post-inoculation, there was a treatment interaction for average speed such that CIN attenuated the effect of MON, with treatment means of 243, 138, 211, and 183 µm/s for control, MON, CIN, and MON+CIN, respectively. At 6 h post-inoculation, MON decreased average speed by 79.2 µm/s compared with the main effect mean without MON. We measured both minimum and maximum diameters (depth and width, respectively) perpendicular to the longitudinal axis of swimming protozoa, yielding a 3-dimensional estimate of protozoal volume. The ellipsoid formula (4/3)πabc, where a = 1/2 length, b = 1/2 width, and c = 1/2 depth, was compared with previously published volume estimations using genera-specific coefficients (genera-specific coefficient × length × width2). Residuals (genera-specific coefficients - ellipsoid) were plotted against predicted (ellipsoid) and centered to the mean (Xi-x¯) to evaluate both mean and slope biases. For Entodinium spp. , Y = 0.248 (±0.037) (Xi - 7.98 × 104) + 1.97 × 104 (±1.48 × 103); n = 100; r2 [coefficient of determination (squared correlation coefficient)] = 0.31, with significant slope and mean biases. For family Isotrichidae, Y = -0.124 (±0.068) (Xi - 2.54 × 106) - 1.21 × 104 (±4.86 × 104); n = 32; r2 = 0.10, where slope tended to be different from zero but with no mean bias. For Epidinium spp. , Y = 0.375 (±0.056) (Xi - 2.45 × 105) + 6.65 × 104 (±0.28 × 104); n = 64; r2 = 0.43, with both mean and slope biases. The present regression analyses demonstrate that the genera-specific coefficient-based method more likely overestimates volume for Entodinium and Epidinium than for the teardrop-shaped Isotrichidae. Based on simulations derived from previous literature reporting treatments that depress protozoal populations or among-animal changes in protozoal population structures, our proposed ellipsoid method offers potential to advance the prediction of treatment effects on protozoal volume and to shift focus from the number of cells present to the diversity, function, and biomass of protozoa under various treatment conditions.
Influence of External Stress on Dielectric Behavior of PEN

Abstract Polymers find an important field of application in the electrical industry because of their utilization as insulators and dielectrics. The presence of polarizable units in materials may be an advantage or a drawback. Thus, it is important to know the mechanism of loss and its evolution as a function of different types of stress. An experimental investigation has been carried out on poly(ethylene naphthalene-2,6-dicarboxylate) (PEN), which is increasingly replacing some dielectrics such as polypropylene and polyethylene terephthalate, to determine the changes in dielectric properties as a function of temperature and electric field. Dielectric loss values have been determined in the 10−5 to 100 Hz frequency range.
TWEAK activation of the non-canonical NF-κB signaling pathway differentially regulates melanoma and prostate cancer cell invasion

Tumor necrosis factor-like weak inducer of apoptosis (TWEAK) is a multifunctional cytokine that binds with high affinity to a plasma membrane-anchored receptor named Fn14. Both TWEAK and Fn14 expression has been detected in human cancer tissue, and studies have shown that TWEAK/Fn14 signaling can promote either “pro-cancer” or “anti-cancer” cellular effects in vitro, depending on the cancer cell line under investigation. In this study, we engineered murine B16 melanoma cells to secrete high levels of soluble TWEAK and examined their properties. TWEAK production by B16 cells preferentially activated the non-canonical NF-κB signaling pathway and increased the expression of several previously described TWEAK-inducible genes, including Fn14. TWEAK overexpression in B16 cells inhibited both cell growth and invasion in vitro. The TWEAK-mediated reduction in B16 cell invasive capacity was dependent on activation of the non-canonical NF-κB signaling pathway. Finally, we found that this same signaling pathway was also important for TWEAK-stimulated human DU145 prostate cancer cell invasion. Therefore, even though TWEAK:Fn14 binding activates non-canonical NF-κB signaling in both melanoma and prostate cancer cells, this shared cellular response can trigger a very different downstream outcome (inhibition or stimulation of cell invasiveness, respectively).
Reply: MoCA for cognitive screening in Parkinson's disease: Beware of floor effect

Federico et al1 discuss the differences in normative values for global cognitive scales, including the Montreal Cognitive Assessment (MoCA) and the MiniMental State Examination (MMSE), across different populations, as well as sensitivity of these scales for detection of Parkinson's disease related mild cognitive impairment (PDMCI) at level I (Movement Disorder Society PDMCI Task Force diagnostic criteria). The issue of normative values is an important one, and caution should be exercised when interpreting results of cognitive testing in different patient populations. As discussed in our article,2 factors such as age, language, and education level often can affect results of cognitive testing. Moreover, the selection of the normative comparison group for cognitive testing plays an important role in interpreting cognitive testing results as well, and differences in “control” populations can lead to significantly differing normative values. Although some studies exclude participants as “healthy control” subjects only if they endorse subjective cognitive complaints, others apply more detailed and stricter criteria in which participants would be excluded as “healthy controls”: if they have other factors as well, for example, subjective complaints of memory loss, systemic illness, drug or alcohol use, or any abnormality on in depth neuropsychological assessment, neurologic examination, and brain imaging studies.3 These differences in definitions of “healthy control” populations thereby may lead to under or overestimation of PD MCI in the PD population.
Spatio-temporal compressive sensing and internet traffic matrices

Many basic network engineering tasks (e.g., traffic engineering, capacity planning, anomaly detection) rely heavily on the availability and accuracy of traffic matrices. However, in practice it is challenging to reliably measure traffic matrices. Missing values are common. This observation brings us into the realm of compressive sensing, a generic technique for dealing with missing values that exploits the presence of structure and redundancy in many real-world systems. Despite much recent progress made in compressive sensing, existing compressive-sensing solutions often perform poorly for traffic matrix interpolation, because real traffic matrices rarely satisfy the technical conditions required for these solutions. To address this problem, we develop a novel spatio-temporal compressive sensing framework with two key components: (i) a new technique called Sparsity Regularized Matrix Factorization (SRMF) that leverages the sparse or low-rank nature of real-world traffic matrices and their spatio-temporal properties, and (ii) a mechanism for combining low-rank approximations with local interpolation procedures. We illustrate our new framework and demonstrate its superior performance in problems involving interpolation with real traffic matrices where we can successfully replace up to 98% of the values. Evaluation in applications such as network tomography, traffic prediction, and anomaly detection confirms the flexibility and effectiveness of our approach.
Effects of nurses’ emotional intelligence on their organizational citizenship behavior, with mediating effects of leader trust and value congruence

AIM To investigate the causal relationship between nurses' emotional intelligence and their organizational citizenship behavior and the possible mediating effects of leader trust and value congruence. METHODS The participants were 348 nurses who were working in a general hospital in a metropolitan area. The data were collected from December 16, 2012 to February 20, 2013. The hypothetical model of emotional intelligence, organizational citizenship behavior, leader trust, and value congruence was fitted to the actual data via structural equation modeling. RESULT The leaders' emotional intelligence had a direct positive effect on leader trust and value congruence; however, the nurses' own emotional intelligence had a negative effect on these two variables. Furthermore, leader trust had a direct positive effect on organizational citizenship behavior; value congruence had no such relationship. The nurses' emotional intelligence had a partial, indirect effect on organizational citizenship behavior via leader trust. CONCLUSION In a nursing organization, it is necessary to build a system, such as mentoring, to be able to exchange emotions actively among the members in order to enhance emotional intelligence and have the same values between leaders and members throughout open communication. Therefore, nurse managers can contribute greatly to the enhancement of organizational performance by promoting members' organizational citizenship behavior through improving their relationships with them and gaining their trust, while concurrently making efforts to further develop their emotional intelligence.
Vedolizumab as Induction and Maintenance Therapy for Crohn's Disease in Patients Naïve to or Who Have Failed Tumor Necrosis Factor Antagonist Therapy

Background: Vedolizumab is a gut-selective &agr;4&bgr;7 integrin antagonist for the treatment of moderately to severely active Crohn's disease (CD). Aims of this study were to characterize the efficacy and safety of vedolizumab induction and maintenance therapy in patients who were naïve to tumor necrosis factor-alpha (TNF-&agr;) antagonist therapy (TNF-naïve) or who had discontinued TNF-&agr; antagonist therapy because of inadequate response (i.e., primary nonresponse), loss of response, or intolerance (collectively classified as the TNF-failure population). Methods: Post hoc analyses of the efficacy data for 516 TNF-naïve and 960 TNF-failure patients from the GEMINI 2 and GEMINI 3 trials were evaluated at weeks 6, 10, and 52 and included clinical remission (CD Activity Index [CDAI] score ⩽150), enhanced clinical response (≥100-point decrease from baseline in CDAI score), durable clinical remission (remission at ≥80% of visits), and corticosteroid-free remission. Adverse events were summarized for the TNF-naïve and TNF-failure subgroups by treatment received. Results: Among patients who responded to vedolizumab induction at week 6, 48.9% of TNF-naïve and 27.7% of TNF-failure patients were in remission with vedolizumab at week 52 (versus 26.8% and 12.8% with placebo). Clinical efficacy was similar between the different types of TNF-&agr; antagonist failure or the number of prior TNF-&agr; antagonists failed. Safety profiles were similar in both subpopulations. Conclusions: Vedolizumab had increased efficacy over placebo in CD patients irrespective of TNF-&agr; antagonist treatment history. Overall, rates of response and remission were numerically higher in patients receiving vedolizumab as a first biologic than in patients who had experienced TNF failure.
Measurement of CP observables in B ± → D K ± and B ± → D π ± with two- and four-body D decays

Measurements of CP observables in B ± → DK ± and B ± → D π ± decays are presented where the D meson is reconstructed in the ﬁnal states K ± π ∓ , π ± K ∓ , K + K − , π + π − , K ± π ∓ π + π − , π ± K ∓ π + π − and π + π − π + π − . This analysis uses a sample of charged B mesons from pp collisions collected by the LHCb experiment in 2011 and 2012, corresponding to an integrated luminosity of 3 . 0 fb − 1 . Various CP -violating effects are reported and together these measurements provide important input for the determination of the unitarity triangle angle γ . The analysis of the four-pion D decay mode is the ﬁrst of its kind. © 2016 The Author(s). by B.V. This is an open access under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP 3 .