Miracle-dz/UniFAR-FTUs huggingface dataset:
Neglect iving a voice to traumatized youth — Experiences with rauma-Focused Cognitive Behavioral Therapy

The efficacy of Trauma-Focused Cognitive Behavioral Therapy (TF-CBT) has been shown in several randomized controlled trials. However, to our knowledge no one has studied the TF-CBT model from a user’s perspective. The objective of this study was to explore traumatized youths’ experiences of receiving TF-CBT. Thirty youths between 11 and 17 years old (M = 15, SD = 1.8) were interviewed using a semi-structured interview guide after they had received TF-CBT as part of an effectiveness trial. The interviews were analyzed according to thematic analysis. The youths’ responses were grouped into four themes: (1) expectations, (2) experiences of talking to the therapist and sharing information, (3) experiences of trauma narrative work, and (4) experiences of change and change processes. Findings showed how an initial fear of talking about traumatic events and not knowing what to expect from therapy was reduced when the youth experienced the therapist as empathetic and knowledgeable. Talking to the therapist was experienced as positive because of the therapist’s expertise, neutrality, empathy, and confidentiality. Talking about the trauma was perceived as difficult but also as most helpful. Learning skills for reducing stress was also perceived as helpful. Important change processes were described as resuming normal functioning and getting “back on track,”, or as acquiring new perspectives and “moving forward. ” Because TF-CBT is recommended as a first line treatment for traumatized youth and treating posttraumatic stress may entail special challenges, understanding more about how youths experience this mode of treatment contributes to our knowledge base and may help us tailor interventions. © 2013 Elsevier Ltd. All rights reserved.
Ultrashort Laser Pulses for Frequency Upconversion

Single-photon frequency upconversion is a nonlinear process where the frequency of the signal photon is translated to the higher frequency with the complete preservation of all the quantum characteristics of the “flying” qubits [1,2]. One promising application of the singlephoton frequency upconversion is converting the infrared photons to the desired spectral regime (usually visible regime) where the high performance detectors are available for sensitive detections [3-6]. The infrared single-photon frequency upconversion detection technique has been successfully used in a variety of applications, including infrared imaging [7] and infrared ultra-sensitive spectroscopy [8,9]. Additionally, such upconversion detector has greatly benefited the applications stringently requiring efficient photon detection in optical quantum computation and communication [10-12]. Furthermore, due to the phase-matching requirement in the frequency upconversion process, the upconversion detectors have some unique features, such as narrow-band wavelength acceptance [13] and polarization sensitivity [14], both of which render them very useful for fiber based quantum systems [15]. In the recent decade, experiments bear that the photon correlation, entanglement, and photon statistics are all well preserved in the coherent frequency upconversion [16-18].
Title Dissection of Ire 1 Functions Reveals Stress Response MechanismsUniquely Evolved in Candida glabrata

Proper protein folding in the endoplasmic reticulum (ER) is vital in all eukaryotes. When misfolded proteins accumulate in the ER lumen, the transmembrane kinase/endoribonuclease Ire1 initiates splicing of HAC1 mRNA to generate the bZIP transcription factor Hac1, which subsequently activates its target genes to increase the protein-folding capacity of the ER. This cellular machinery, called the unfolded protein response (UPR), is believed to be an evolutionarily conserved mechanism in eukaryotes. In this study, we comprehensively characterized mutant phenotypes of IRE1 and other related genes in the human fungal pathogen Candida glabrata. Unexpectedly, Ire1 was required for the ER stress response independently of Hac1 in this fungus. C. glabrata Ire1 did not cleave mRNAs encoding Hac1 and other bZIP transcription factors identified in the C. glabrata genome. Microarray analysis revealed that the transcriptional response to ER stress is not mediated by Ire1, but instead is dependent largely on calcineurin signaling and partially on the Slt2 MAPK pathway. The loss of Ire1 alone did not confer increased antifungal susceptibility in C. glabrata contrary to UPR-defective mutants in other fungi. Taken together, our results suggest that the canonical Ire1-Hac1 UPR is not conserved in C. glabrata. It is known in metazoans that active Ire1 nonspecifically cleaves and degrades a subset of ER-localized mRNAs to reduce the ER load. Intriguingly, this cellular response could occur in an Ire1 nuclease-dependent fashion in C. glabrata. We also uncovered the attenuated virulence of the C. glabrata Dire1 mutant in a mouse model of disseminated candidiasis. This study has unveiled the unique evolution of ER stress response mechanisms in C. glabrata. Citation: Miyazaki T, Nakayama H, Nagayoshi Y, Kakeya H, Kohno S (2013) Dissection of Ire1 Functions Reveals Stress Response Mechanisms Uniquely Evolved in Candida glabrata. PLoS Pathog 9(1): e1003160. doi:10.1371/journal.ppat. 1003160 Editor: Scott G. Filler, David Geffen School of Medicine at University of California Los Angeles, United States of America Received September 14, 2012; Accepted December 12, 2012; Published January 31, 2013 Copyright: 2013 Miyazaki et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This research was supported by a grant from the Global Centers of Excellence Program, Nagasaki University, Grant-in-Aid for Scientific Research (JSPS KAKENHI no. 24791027 to TM and no. 21390305 to SK) from the Japanese Ministry of Education, Culture, Sports, Science and Technology, and a grant of the Ueda award from the Japanese Society of Chemotherapy to TM. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: taiga-m@nagasaki-u.ac. jp
Mining Non-overlapping Repetitive Sequential Patterns by ImprovingGSP Algorithm

Repetitive sequential patterns (RSP) mining plays very important roles and has been widely studied in DNA or genome, but there are only a few relevant approaches focusing on mining RSP from sequence database. Taking sequence <bcbcbcbca> for example, traditional sequential pattern mining algorithms only consider that <bc> appears at one time when calculating the support of <bc>, regardless of at least 4 times that <bc> appears within this same data sequence. Accordingly, to catch much more interesting sequential patterns, repetitive property needs to be involved during the mining process. However, currently the most relevant RSP methods focus on DNA analysis considering that they cannot be used for recognizing repetitive patterns on events sequences. Therefore, we propose an approach to determine the number of times a sequence repeatedly makes an appearance in a certain data sequence. The support value of a sequence could be more than 100% as this sequence might repeat in one data sequence, therefore we proposed a strategy to ensure the support range of repetitive sequence still within [0,100%]. Finally, we proposed an efficient algorithm, called RptGSP, to discover such repetitive sequential patterns based on improving GSP Algorithm. The experimental results reveal that RptGSP can efficiently discover the repetitive patterns.
C Consiglio Nazionale delle Ricerche A Measurement-based Study of Beaconing Performance in IEEE 802 . 11 p Vehicular Networks

Active safety applications for vehicular networks aims at improving safety conditions on the road by raising the level of “situation awareness” onboard vehicles. Situation awareness is achieved through exchange of beacons reporting positional and kinematic data. Two important performance parameters influence the level of situation awareness available to the active safety application: the beacon (packet) delivery rate (PDR), and the packet inter-reception (PIR) time. While measurementbased evaluations of the former metric recently appeared in the literature, the latter metric has not been studied so far. In this paper, for the first time, we estimate the PIR time and its correlation with PDR and other environmental parameters through an extensive measurement campaign based on IEEE 802.11p technology. Our study discloses several interesting insights on PIR times that can be expected in a real-world scenarios, which should be carefully considered by the active safety application designers. A major insight is that the packet inter reception time distribution is a power-law and that long situation awareness black-outs are likely to occur in batch, implying that situation awareness can be severely impaired even when the average beacon delivery rate is relatively high. Furthermore, our analysis shows that PIR and PDR are only loosely (negatively) correlated, and that the PIR time is almost independent of speed and distance between vehicles. A third major contribution of this paper is promoting the Gilbert-Elliot model, previously proposed to model bit error bursts in packet switched networks, as a very accurate model of beacon reception behavior observed in real-world data.
Robust visual heart rate estimation

A novel heart rate estimator, HR-CNN – a two-step convolutional neural network, is presented. The network is trained endto-end by alternating optimization to be robust to illumination changes and relative movement of the subject and the camera. The network works well with images of the face roughly aligned by an of-the-shelf commercial frontal face detector. An extensive review of the literature on visual heart rate estimation identifies key factors limiting the performance and reproducibility of the methods as: (i) a lack of publicly available datasets and incomplete description of published experiments, (ii) use of unreliable pulse oximeters for the ground-truth reference, (iii) missing standard experimental protocols. A new challenging publicly available ECG-Fitness dataset with 205 sixtysecond videos of subjects performing physical exercises is introduced. The dataset includes 17 subjects performing 4 activities (talking, rowing, exercising on a stepper and a stationary bike) captured by two RGB cameras, one attached to the currently used fitness machine that significantly vibrates, the other one to a separately standing tripod. With each subject, “rowing” and “talking” activity is repeated with a halogen lamp lighting. In case of 4 subjects, the whole recording session is also lighted by an LED light. HR-CNN outperforms the published methods on the dataset reducing error by more than a half. Each ECG-Fitness activity contains a di erent combination of realistic challenges. The HR-CNN method performs the best in case of the “rowing” activity with the mean absolute error 3.94, and the worst in case of the “talking” activity with the mean absolute error 15.57.
Response to Diverse Stimuli The Plant NADPH Oxidase RBOHD Mediates Rapid Systemic Signaling in

http://stke.sciencemag. org/cgi/content/abstract/sigtrans;2/70/pe31 http://stke.sciencemag. org/cgi/content/full/sci;325/5945/1183-a http://stke.sciencemag. org/cgi/content/abstract/sigtrans;2/90/pe60 http://stke.sciencemag. org/cgi/content/abstract/sigtrans;2/90/eg12 http://stke.sciencemag. org/cgi/content/abstract/sigtrans;2/96/eg14 http://stke.sciencemag. org/cgi/content/abstract/sigtrans;2/97/ec368 http://stke.sciencemag. org/cgi/content/abstract/sigtrans;3/149/ec354 's sites: Science The editors suggest related resources on
Airborne network : A cyber-physical system perspective Conference

An airborne network is a cyberphysical system (CPS) in which there is an intense interaction between the physical and cyber components. While computation, communication and networking elements form the cyber components of the system, flight-paths, manoeuvre geometries, and multimode resources including ground-based nodes and control stations form the physical components of the CPS. The synergy between the cyber and physical components, if explored and exploited, will significantly enhance the safety and security capabilities of Next Generation (NextGen) air transportation systems. In this paper, we characterize airborne networks based on their mobility patterns, path predictability, and model complexity. We discuss mobility models suitable for airborne networks, analytical models for estimating the link/path duration in airborne networks, and strategies for information assurance in airborne networks.
Maximizing the information and validity of a linear composite in the factor analysis model for continuous item responses.

This paper develops results and procedures for obtaining linear composites of factor scores that maximize: (a) test information, and (b) validity with respect to external variables in the multiple factor analysis (FA) model. I treat FA as a multidimensional item response theory model, and use Ackerman? s multidimensional information approach based on maximum likelihood (ML) estimation of trait levels. This approach, when applied to the FA model, leads to particularly simple results as far as maximizing test information is concerned. Developments concerned with validity appear to be new, and I use ML results in the context of error-in-variables regression. Graphical procedures for representing both type of results are proposed. The developments are illustrated with two empirical examples in personality measurement.
A Polarized Delta-Four-Stream Approximation for Infrared and Microwave Radiative Transfer: Part I

Abstract The delta-four-stream polarized (vector) thermal radiative transfer has been formulated and numerically tested specifically for application to satellite data assimilation in cloudy atmospheres. It is shown that for thermal emission in the earth’s atmosphere, the [I, Q] component of the Stokes vector can be decoupled from the [U, V] component and that the solution of the vector equation set involving the four-stream approximation can be expressed in an analytic form similar to the scalar case. Thus, the computer time requirement can be optimized for the simulation of forward radiances and their derivatives. Computations have been carried out to illustrate the accuracy and efficiency of this method by comparing radiance and polarization results to those computed from the exact doubling method for radiative transfer for a number of thermal infrared and microwave frequencies. Excellent agreement within 1% is shown for the radiance results for all satellite viewing angles and cloud optical depths. For.
ALMA detection of a disc-dominated [C ii] emission line at z=4.6 in the luminous QSO J1554+1937

We present observations and analysis of an unusual [C II] emission line in the very luminous QSO SDSS J155426.16+193703.0 at z~4.6. The line is extremely broad (FWHM 735 km/s) and seems to have a flat-topped or double-peaked line profile. A velocity map of the line shows a gradient across the source that indicates large-scale rotation of star-forming gas. Together, the velocity map and line profile suggest the presence of a massive rotating disc with a dynamical mass M_dyn > 5x10^10 M_sun. Using the assumption of a rotating disc origin, we employ an empirical relation between galaxy disc circular velocity and bulge velocity dispersion (sigma) to estimate that sigma > 310 km/s, subject to a correction for the unknown disc inclination. This result implies that this source is consistent with the local M--sigma relation, or offset at most by an order of magnitude in black hole mass. In contrast, the assumption of a bulge origin for the [C II] emission line would lead to a conclusion that the black hole is nearly two orders of magnitude more massive than predicted by the M--sigma relation, similar to previous findings for other high-redshift QSOs. As disc rotation may be a common origin for [C II] emission at high redshifts, these results stress that careful consideration of dynamical origins is required when using observations of this line to derive properties of high-redshift galaxies.
urgery of lumbar and thoracolumbar scolioses in dults over 50 . Morbidity and survival in a ulticenter retrospective cohort of 180 patients ith a mean follow-up of 4 . 5 years

Spine Surgery Unit, Saint-Grégoire Private Hospital Center, 6, boulevard de la Boutière, 35760 Saint-Grégoire, France Department of Orthopaedic Surgery, Beaujon Hospital, Paris VII University, Paris Public Assistance Hospital Group, 00, boulevard du Général-Leclerc, 92110 Clichy, France Du parc Private Hospital, 31, rue des Buchers, 31400 Toulouse, France Des Massues Surgical Center, 92, rue Edmond-Locard, 69322 Lyon, France Musculoskeletal Unit, Lille University Regional Hospital Center, 2, avenue Oscar-Lambret, 59037 Lille, France
The effect of number of clusters and cluster size on statistical power and Type I error rates when testing random effects variance components in multilevel linear and logistic regression models

Abstract When using multilevel regression models that incorporate cluster-specific random effects, the Wald and the likelihood ratio (LR) tests are used for testing the null hypothesis that the variance of the random effects distribution is equal to zero. We conducted a series of Monte Carlo simulations to examine the effect of the number of clusters and the number of subjects per cluster on the statistical power to detect a non-null random effects variance and to compare the empirical type I error rates of the Wald and LR tests. Statistical power increased with increasing number of clusters and number of subjects per cluster. Statistical power was greater for the LR test than for the Wald test. These results applied to both the linear and logistic regressions, but were more pronounced for the latter. The use of the LR test is preferable to the use of the Wald test.
The shape of convective core overshooting from gravity-mode period spacings

Context. The evolution of stars born with a convective core is highly dependent on the efficiency and extent of near core mixing processes, which effectively increases both the core mass and main-sequence lifetime. These mixing processes remain poorly constrained and therefore result in large uncertainties in the stellar structure and evolution models of such stars. Aims. We investigate to what extent gravity-mode period spacings in slowly pulsating B-type stars observed by the Kepler mission can be used to constrain both the shape and extent of convective core overshoot and additional mixing in the radiative envelope. Methods. We compute grids of 1D stellar structure and evolution models for two different shapes of convective core overshooting and three shapes of radiative envelope mixing. The models in these grids are compared to a set of benchmark models to evaluate their capability of mimicking the dipole prograde g-modes of the benchmark models. Results. Through our model comparisons we find that at a central hydrogen content of Xc = 0.5, dipole prograde g-modes in the period range 0.8−3 d are capable of differentiating between step and exponential diffusive overshooting. This ability disappears towards the terminal age main sequence at X c = 0.1. Furthermore, the g-modes behave the same for the three different shapes of radiative envelope mixing considered. However, a constant envelope mixing requires a diffusion coefficient near the convective core five times higher than chemical mixing from internal gravity waves to obtain a surface nitrogen excess of ~ 0.5 dex within the main-sequence lifetime. Conclusions. Within the estimated frequency errors of the Kepler mission, the ability of g-modes to distinguish between step and exponential diffusive overshooting depends on the evolutionary stage. Combining information from the average period spacing and observed surface abundances, notably nitrogen, could potentially be used to constrain the shape of mixing in the radiative envelope of massive stars.
Modern approaches for breeding high quality apples with durable resistance to scab, powdery mildew and fire blight

New methods to allow for more precise selection of tree and fruit characters in breeding programmes were developed in recent years. Marker-assisted selection (MAS) is common practice in the ACW apple breeding programme at Wadenswil. Genetic markers can reduce the number of plants and the time required for evaluation, thus new varieties become commercially available sooner. How can this molecular selection method reasonably be applied in an apple breeding programme? Application of phenotypic and molecular selection techniques in the ACW apple breeding programme and results are presented.
Self-Supervised Learning on Mobile Robots Using Acoustics, Vibration, and Visual Models to Build Rich Semantic Terrain Maps

Humans and robots would bene fit from having rich semantic maps of the terrain in which they operate. Mobile robots equipped with sensors and perception software could build such maps as they navigate through a new environment.This information could then be used by humans or robots for better localization and path planning, as well as a variety of other tasks. However, it is hard to build good semantic maps without a great deal of human eff ort and robot time. Others have addressed this problem, but they do not providea high level of semantic richness, and in some cases their approaches require extensive human data labeling and robot driving time. We use a combination of better sensors and features, both proprioceptive and exteroceptive, and self-supervised learning to solve this problem. We enhanceproprioception by exploring the use of new sensing modalities such as sound and vibration, and in turn we increase the number and variety of terrain types that can be estimated. We build a supervised proprioceptive multiclass model that predicts seven terrain classes. The proprioceptive predictions are then used as labels to train a self-supervised exteroceptive model from cameradata. This exteroceptive model can then estimate those same terrain types more reliably in new environments. The exteroceptive semantic terrain predictions are spatially registered into a larger map of the surrounding environment.3d point clouds from rolling/tilting ladar are used to register the proprioceptive and exteroceptive data, as well as to register the resulting exteroceptive predictionsinto the larger map. Our claim is that self-supervised learning makes the exteroception more reliable since it can be automatically retrained for new locations without human supervision. We conducted experiments to support this claim by collecting data sets from diff erent geographical environments and then comparing classification accuracies. Our results show that our self-supervised learning approach is able to outperform state of the art supervised visual learning techniques.
Coronally Positioned Vestibule for Gummy Smile

Gummy smile represent excessive gingival display in the maxilla upon smiling. This case report aims to explain the alternative surgical method to treat gummy smile by positioning the vestibule more coronally. This method advantageous because the surgical is performed without reduction of vertical dimension of labial mucosa. A 40-year-old female presenting the esthetic problem of excessive gingival display when smiling. The surgical is performed on the vestibule of the left to right second premolar in order to positioning the vestibule more coronally. One month after surgery, excessive gingival display has been significantly reduced. Clinical article (J Int Dent Med Res 2018; 11(2): pp. 707-710)