Miracle-dz/UniFAR-FTUs huggingface dataset:
Simulation Strategies to Teach Patient Transfers: Self-Efficacy by Strategy.

OBJECTIVE We evaluated the effects of transfer training-after training in the classroom and in the high-technology simulation laboratory (WISER Center)-on students' perceptions of their self-efficacy for knowledge, skill, and safety in executing dependent transfers. METHOD After classroom training, occupational therapy students were randomized to three teaching groups on the basis of the amount of participation and observation opportunities provided at the WISER Center-observation dominant, participation dominant, and participation only. RESULTS The participation-dominant group reported an increase in knowledge self-efficacy over time compared with the observation-dominant and participation-only groups. Over time, self-efficacy ratings increased for all students, regardless of group. CONCLUSION Simulation scenarios implemented at the WISER Center provided a useful adjunct to classroom training in transfer skills. Both participatory and observational experiences contributed to the development of students' perceptions of their ability to manage acutely ill and medically complex patients.
Determination of Optimum Formalin Fixation Duration for Prostate Needle Biopsies for Immunohistochemistry and Quantum Dot FISH Analysis

Prostate biopsy is the key clinical specimen for disease diagnosis. However, various conditions used during biopsy processing for histologic analysis may affect the performance of diagnostic tests, such as hematoxylin and eosin (H&E) staining, immunohistochemistry (IHC), or in situ hybridization (ISH). One such condition that may affect diagnostic test performance is fixation duration in 10% neutral buffered formalin (NBF). For example, prostate needle biopsies are often <1 mm in diameter and thus overfixed. It is important to understand the impact of tissue fixation duration on diagnostic test performance to enable optimized assay procedures. This study was designed to study the effect of 10% NBF fixation duration of prostate needle biopsy on multiplexed quantum dot (QD) ISH assay of ERG and PTEN, 2 genes commonly altered in prostate cancer. The samples were also evaluated for H&E staining and ERG and PTEN IHC. H&E staining and ERG and PTEN IHC were acceptable for all the durations of fixation tested. For QD ISH, we observed good signals with biopsy samples fixed from 4 to 120 hours. Biopsy specimens fixed between 8 and 72 hours gave the best signal as scored by the study pathologist. In a separate cohort of 18 routinely processed prostate biopsy cores, all cores were stained successfully with the QD ISH assay, and results were 100% concordant to ERG and PTEN IHC. We conclude that 8 to 72 hours duration of fixation for prostate needle biopsies in 10% NBF results in optimal QD ISH assay performance.
Borderline Personality Features, Anger, and Intimate Partner Violence: An Experimental Manipulation of Rejection

Individuals with borderline personality features may be susceptible to react to situational stressors with negative and interpersonally maladaptive emotionality (e.g., anger) and aggression. The current study attempted to test two moderated mediation models to investigate dispositional risk factors associated with borderline personality features and intimate partner violence (IPV). Results from an experimental rejection induction paradigm were examined using moderated regression to observe contextual reactions to imagined romantic rejection from a current romantic partner among individuals with borderline personality features. An ethnically diverse sample of 218 undergraduates at a large public university in the southwestern United States was recruited. Participants responded to demographic questions and self-report measures, and engaged in an experimental rejection induction paradigm. Borderline personality features was positively associated with rejection sensitivity, physical assault, and psychological aggression. Contrary to initial hypotheses, rejection sensitivity did not serve as a mediator of the relations between borderline personality features and physical assault and psychological aggression. However, trait anger mediated the relation between borderline personality features and psychological aggression. As such, trait anger may be an important explanatory variable in the relation between borderline personality features and psychological aggression specifically. Results of the rejection induction paradigm indicated that, for individuals who were asked to imagine an ambiguous rejection, the relation between borderline personality features and state anger post-rejection was strengthened. For individuals who imagined a critical rejection, there was no significant relation between borderline personality features and state anger post-rejection. Findings suggest that trait anger may be an important dispositional factor in the link between borderline personality features and IPV. In addition, contextual factors, such as ambiguous rejection by an intimate partner, may be especially relevant in activating anger or aggression in individuals with borderline personality features.
Towards microscopic control of the magnetic exchange coupling at the surface of a topological insulator

Magnetically doped topological insulators may produce novel states of electronic matter, where for instance the quantum anomalous Hall effect state can be realized. Pivotal to this goal is a microscopic control over the magnetic state, defined by the local electronic structure of the dopants and their interactions. We report on the magnetic coupling among Mn or Co atoms adsorbed on the surface of the topological insulator Bi2Te3. Our findings uncover the mechanisms of the exchange coupling between magnetic atoms coupled to the topological surface state in strong topological insulators. The combination of x-ray magnetic circular dichroism and ab initio calculations reveals that the sign of the magnetic coupling at short adatom–adatom distances is opposite for Mn with respect to Co. For both elements, the magnetic exchange reverses its sign at a critical distance between magnetic adatoms, as a result of the interplay between superexchange, double exchange and Ruderman–Kittel–Kasuya–Yoshida interactions.
Rodent models of focal stroke: Size, mechanism, and purpose

SummaryRodent stroke models provide the experimental backbone for the in vivo determination of the mechanisms of cell death and neural repair, and for the initial testing of neuroprotective compounds. Less than 10 rodent models of focal stroke are routinely used in experimental study. These vary widely in their ability to model the human disease, and in their application to the study of cell death or neural repair. Many rodent focal stroke models produce large infarcts that more closely resemble malignant and fatal human infarction than the average sized human stroke. This review focuses on the mechanisms of ischemic damage in rat and mouse stroke models, the relative size of stroke generated in each model, and the purpose with which focal stroke models are applied to the study of ischemic cell death and to neural repair after stroke.
Hadoop framework: impact of data organization on performance

Hadoop, based on the popular MapReduce framework, is an open‐source distributed computing framework that has been gaining much popularity and usage. It aims to allow programmers to focus on building applications that deals with processing large amount of data, without having to handle other issues when performing parallel computations. However, tuning the performance of Hadoop applications is not an easy task due to the level of abstraction of the framework. In this paper, we present three case studies and some of the challenges and issues that are to be considered in performance tuning when running applications in Hadoop. The focus is mainly on the impact of input data on Hadoop's performance and how they can be tuned. Copyright © 2011 John Wiley & Sons, Ltd.
Early childhood adversities and risk of eating disorders in women: A Danish register‐based cohort study

OBJECTIVE Previous studies evaluating the association between early childhood adversities and eating disorders have yielded conflicting results. The aim of this study is to examine the association between a range of adversities and risk of anorexia nervosa (AN), bulimia nervosa (BN), and eating disorder not otherwise specified (EDNOS) in 495,244 women. METHOD In this nationwide, register-based cohort study, nine types of early childhood adversity (family disruption, residential instability, placement in out-of-home care, familial death, parental somatic illness, parental psychiatric illness, parental disability, severe parental criminality, and parental substance use disorder) were defined and exposure during the first 6 years of life was determined. Hazard ratios for eating disorders were calculated using Cox regression. RESULTS Few adversities were significantly associated with AN, and for each, the presence of the adversity was associated with lower risk for AN. BN, and EDNOS were positively associated with several types of adversities. AN rates were unchanged or reduced by up to 54% by adversities, whereas rates of BN and EDNOS were unchanged or increased by adversities by up to 49 and 89%, respectively. DISCUSSION Our findings indicate that childhood adversities appear to be associated with an increased risk of BN and in particular EDNOS, whereas they seem to be either unassociated or associated with a decreased risk of AN.
On the dynamical structure of calcium oscillations

Significance Oscillations in the concentration of free cytosolic calcium are an important control mechanism in many cell types. However, we still have little understanding of how some cells can exhibit calcium oscillations with a period of less than a second, whereas other cells have oscillations with a period of hundreds of seconds. Here, we show that one common type of calcium oscillation has a dynamic structure that is independent of the period. We thus hypothesize that cells control their oscillation period by varying the rate at which their critical internal variables move around this common dynamic structure and that this rate can be controlled by the rate at which calcium activates calcium release from the endoplasmic/sarcoplasmic reticulum. Oscillations in the concentration of free cytosolic Ca2+ are an important and ubiquitous control mechanism in many cell types. It is thus correspondingly important to understand the mechanisms that underlie the control of these oscillations and how their period is determined. We show that Class I Ca2+ oscillations (i.e., oscillations that can occur at a constant concentration of inositol trisphosphate) have a common dynamical structure, irrespective of the oscillation period. This commonality allows the construction of a simple canonical model that incorporates this underlying dynamical behavior. Predictions from the model are tested, and confirmed, in three different cell types, with oscillation periods ranging over an order of magnitude. The model also predicts that Ca2+ oscillation period can be controlled by modulation of the rate of activation by Ca2+ of the inositol trisphosphate receptor. Preliminary experimental evidence consistent with this hypothesis is presented. Our canonical model has a structure similar to, but not identical to, the classic FitzHugh–Nagumo model. The characterization of variables by speed of evolution, as either fast or slow variables, changes over the course of a typical oscillation, leading to a model without globally defined fast and slow variables.
Online Feature Selection for Classifying Emphysema in HRCT Images

Feature subset selection, applied as a preprocessing step to machine learning, is valuable in dimensionality reduction, eliminating irrelevant data and improving classifier performance. In the classic formulation of the feature selection problem, it is assumed that all the features are available at the beginning. However, in many real world problems, there are scenarios where not all features are present initially and must be integrated as they become available. In such scenarios, online feature selection provides an efficient way to sort through a large space of features. It is in this context that we introduce online feature selection for the classification of emphysema, a smoking related disease that appears as low attenuation regions in High Resolution Computer Tomography (HRCT) images. The technique was successfully evaluated on 61 HRCT scans and compared with different online feature selection approaches, including hill climbing, best first search, grafting, and correlation-based feature selection.
Patch Distribution Compatible Semisupervised Dimension Reduction for Face and Human Gait Recognition

We propose a new semisupervised learning algorithm, referred to as patch distribution compatible semisupervised dimension reduction, for face and human gait recognition. Each image (a face image or an average human silhouette image) is first represented as a set of local patch features and it is further characterized as the corresponding patch distribution feature, which can be expressed as an image-specific Gaussian mixture model (GMM) adapted from the universal background model. Assuming that the individual components of the image-specific GMMs from all the training images reside on a submanifold, we assign a component-level prediction label matrix to each individual GMM component and introduce a new regularizer based on a set of local submanifold smoothness assumptions in our objective function. We also constrain each component-level prediction label matrix to be consistent with the image-level prediction label matrix , as well as enforce to be close to the given labels for the labeled samples. We further use a linear regression function to provide embeddings for the training data and the unseen test data. Inspired by the recent work flexible manifold embedding, we additionally integrate the regression residue in our objective function to measure the mismatch between and , such that our method can better cope with the data sampled from a nonlinear manifold. Finally, the optimal solutions of the component-level prediction label matrix , the image-level prediction label matrix , the projection matrix , and the bias term b can be simultaneously obtained. Comprehensive experiments on three benchmark face databases CMU PIE, FERET, and AR as well as the USF HumanID gait database clearly demonstrate the effectiveness of our algorithm over other state-of-the-art semisupervised dimension reduction methods.
Persistent respiratory effort after adenotonsillectomy in children with sleep‐disordered breathing

Adenotonsillectomy (AT) markedly improves but does not necessarily normalize polysomnographic findings in children with adenotonsillar hypertrophy and related sleep‐disordered breathing (SDB). Adenotonsillectomy efficacy should be evaluated by follow‐up polysomnography (PSG), but this method may underestimate persistent respiratory effort (RE). Mandibular movement (MMas) monitoring is an innovative measurement that readily identifies RE during upper airway obstruction. We hypothesized that MMas indices would decrease in parallel of PSG indices and that children with persistent RE more reliably could be identified with MMas.
Observing the effects of digestion and chemical dosing on the calorific value of sewage sludge

New legislation being introduced in Europe for the removal of the macronutrients nitrogen and phosphorous is causing the fundamental composition of sludge to change. Nitrogen removal requires longer residence times during activated treatment, and phosphorous removal can involve the supplementation of chemicals such as ferric. In addition, there is increasing pressure to capture energy from sludge due to incentives which encourage renewable energy recovery. Energy from sludge may be recovered as biogas or as fuel which is combusted. However, little is known about the effects of legislative change on the energy value (calorific value) of the sludge. This paper describes the analysis of numerous samples of raw, digested and chemically treated sludge for chemical composition and calorific value and compares the results against theoretically derived results. A simple formula is proposed based on the findings, which can be used as a primary estimate for calorific value.
Magnetic field pattern synthesis and its application in targeted drug delivery: Design and implementation

In cancer therapy, magnetic drug targeting is considered as an effective treatment to reduce chemotherapy's side effects. The accurate design and shaping of magnetic fields are crucial for healthy cells to be immune from chemotherapeutics. In this paper, arbitrary 2‐dimensional spatial patterns of magnetic fields from DC to megahertz are represented in terms of spatial Fourier spectra with sinusoidal eigenfunctions. Realization of each spatial frequency was investigated by a set of elliptical coils. Therefore, it is shown that the desired pattern was synthesized by simultaneous use of coil sets. Currents running on each set were obtained via fast and straightforward analytical Fourier series calculation. Experimentally scanned sample patterns were in close agreement with full wave analysis. Discussions include the evaluation of the Fourier series approximation error and cross‐polarization of produced magnetic fields. It was observed that by employing the controlled magnetic field produced by the proposed setup, we were able to steer therapeutic particles toward the right or left half‐spheres of the breast, with an efficiency of 90%. Such a pattern synthesizer may be employed in numerous human arteries as well as other bioelectromagnetic patterning applications, e.g., wireless power transfer, magnetic innervation, and tomography. Bioelectromagnetics. 39:325–338, 2018. © 2018 Wiley Periodicals, Inc.
Emotion regulation mediates the relationship between personality and sleep quality

Objective: Despite a long history of interest in personality as well as in the mechanisms that regulate sleep, the relationship between personality and sleep is not yet well understood. The purpose of this study was to explore how personality affects sleep. Design: The present cross-sectional study, based on a sample of 1291 participants with a mean age of 31.16 years (SD = 12.77), investigates the impact of personality styles, assessed by the Personality Adjectives Checklist (PACL), on subjective sleep quality, as well as the possible mediation of this relationship by dispositional emotion regulation (ER) styles. Results: The dispositional use of suppression was a quite consistent predictor of poor subjective sleep quality for individuals scoring high on Confident, Cooperative or Introversive personality traits, but low on Respectful personality traits. Although a positive relationship between reappraisal and subjective sleep quality was found, there was only little evidence for a relationship between the assessed personality styles and the use of cognitive reappraisal. Conclusion: The present results indicate that in the evaluation of subjective sleep, the impact of personality and ER processes, such as emotion suppression, should be taken into account.
New magnifying endoscopic classification for superficial esophageal squamous cell carcinoma

AIM To assess the accuracy of a new magnifying endoscopy (ME) classification for predicting depth of invasion of superficial esophageal squamous cell carcinoma (SESCC). METHODS This study included a total of 70 lesions in 69 patients with SESCC who underwent ME with narrow-band imaging (ME-NBI) before resection from August 2010 to July 2016. Accuracy of ME-NBI for predicting depth of invasion of SESCC was analyzed by using a new ME classification proposed by the Japan Esophageal Society (JES), and interobserver agreement was assessed. RESULTS Overall accuracy of ME-NBI for estimating depth of invasion of SESCC was 78.6%. Sensitivity and specificity of type B1 for tumors limited to the epithelial layer (m1) or invading into the lamina propria (m2) were 71.4% and 100%, respectively. Sensitivity and specificity of type B2 for tumors invading into the muscularis mucosa (m3) or superficial submucosa (≤ 200 μm, sm1) were 94.4% and 73.1%, respectively, while those of type B3 for tumors invading into the deep submucosa (> 200 μm, sm2) were 75.0% and 97.8%, respectively. Interobserver agreement was excellent (κ = 0.86, 95%CI: 0.76-0.95). CONCLUSION The recently developed JES ME classification is useful for predicting depth of invasion of SESCC, with reliable interobserver agreement.
Relationship between Clinical, MRI, and Arthroscopic Findings: A Guide to Correct Diagnosis of Meniscal Tears

Abstract Purpose The aim of this prospective study was to compare and correlate clinical, MRI, and arthroscopic findings in cases of suspected meniscal tears. Using arthroscopic findings as the gold standard, the sensitivity, specificity, accuracy, positive predictive value, and negative predictive value of clinical investigation and MRI were evaluated to determine if is possible, after a careful examination, to bypass MRI and perform directly arthroscopy in suspected cases. Methods A total of 80 patients with a history of knee trauma, preoperative RX, and MRI underwent arthroscopy over an 8-month period at our department. All patients had a clinical examination performed by an experienced knee surgeon. These examiners evaluated and recorded the results of three tests: medial and lateral joint line tenderness test, McMurray's test, and Apley's test. The injury was classified as a meniscal tear if there were at least two positive tests. Finally, using the arthroscopic findings as the gold standard, sensibility, specificity, accuracy, positive and negative predictive values of clinical examination, and MRI were evaluated and compared. Results Clinical examination performed by an experienced knee surgeon reported better sensitivity (91 vs. 85%), specificity (87 vs. 75%), accuracy (90 vs. 82%), positive predictive value (94 vs. 88%), and negative predictive value (81 vs. 71%) than MRI for medial meniscal tears. These parameters showed minimal differences for lateral meniscal tears. Conclusion Clinical examination performed by an experienced knee surgeon provided equal or better results to diagnose meniscal injuries in comparison to MRI. MRI is not necessary to confirm these lesions and should not be used as the primary diagnostic tool. Level of Evidence Level II, prospective study.
Persistent localization and life-long mapping in changing environments using the Frequency Map Enhancement

We present a lifelong mapping and localisation system for long-term autonomous operation of mobile robots in changing environments. The core of the system is a spatio-temporal occupancy grid that explicitly represents the persistence and periodicity of the individual cells and can predict the probability of their occupancy in the future. During navigation, our robot builds temporally local maps and integrates then into the global spatio-temporal grid. Through re-observation of the same locations, the spatio-temporal grid learns the long-term environment dynamics and gains the ability to predict the future environment states. This predictive ability allows to generate time-specific 2d maps used by the robot's localisation and planning modules. By analysing data from a long-term deployment of the robot in a human-populated environment, we show that the proposed representation improves localisation accuracy and the efficiency of path planning. We also show how to integrate the method into the ROS navigation stack for use by other roboticists.