Miracle-dz/UniFAR-FTUs huggingface dataset:
Eating disorders and health in elite women distance runners.

OBJECTIVES To examine the presence of eating disorder syndromes in elite women distance runners in the United Kingdom and any associated differences in training, dieting, general health, and well-being. METHOD Athletes were selected from the top of their respective ranking lists for all middle and long-distance races in 1996/1997. All running disciplines were included (track, road, cross-country, and fell/mountain running). Athletes were sent the Eating Disorders Examination Questionnaire and a questionnaire on demographics, athletic training, diet, and health. Of the 226 athletes identified, 181 (81%) completed and returned the questionnaires. RESULTS Twenty-nine athletes (16%) had an eating disorder at the time of the study (7 had anorexia nervosa [AN], 2 had bulimia nervosa [BN], and 20 had eating disorders not otherwise specified [EDNOS]) and a further 6 had received previous treatment. Comparing the eating disorder group with the rest of the sample showed no difference in age, height, preferred race distance, or the number of hours/week spent training. However, they had a significantly lower body mass index (BMI), lower self-esteem, and poorer mental health. Current and past dieting were significantly more common in the eating disorder group. DISCUSSION The levels of AN and EDNOS are higher than would be expected in similarly aged, nonathletic women. The demands for leanness rather than exercise intensity appear to be the main risk in these elite runners. The early detection and prevention of eating disorders in women athletes should have high priority.
Convergence of frequency, time and data over ethernet networks

This paper outlines an instance of frequency, time and data networks convergence based on Ethernet technology which can be utilized in Smart Grid in a cost effective manner. The basic components of this converge network are Ethernet transport, Rapid Spanning Tree Protocol (RSTP) [1], Synchronous Ethernet [2] and Precision Time Protocol version 2 (PTPv2) [5]. RSTP provides loop-free active network topology. Synchronous Ethernet provides the means to achieve frequency synchronization between peers. PTPv2 provides the means to synchronize time among participating networked nodes. The mechanisms to distribute time, frequency and data are different from one another, which results in different active network topologies with respect to time, frequency and data. The driving force behind much of this convergence work is to design a framework which captures the information from individual building blocks and creates a network model which achieves better accuracy and predictable network settling time under network failure conditions without compromising reliability, availability and simplicity of the network design. This paper only focuses on ring network topology.
Decreased length of stay, cost savings and descriptive findings of enhanced patient care resulting from an integrated traumatic brain injury programme

Traumatic brain injury (TBI) has enormous economic consequences. The primary objective was to evaluate the effect of implementation of an integrated TBI programme on patient-care. The research design was a retrospective institutional review for which 1875 patient records were reviewed, healthcare professionals were interviewed, patient care was observed, and a literature review of the prognostic variables for mild, moderate and severe TBI was conducted. The implementation of an integrated TBI programme has reduced the average length of stay from 30.5 to 12 days and resulted in tremendous cost savings of $21.8 million over 6 years. 'Blueprinting' the continuum of TBI patients' care identified the weakest links to be the transfer of patients from the tertiary-care TBI programme to rehabilitation institutions and provision of long-term rehabilitative care due to information asymmetry. This was addressed by the development of comprehensive on-line TBI transfer documents. This study emphasizes the importance of comprehensive neurotrauma programmes.
Transcriptional Effects of Dietary Exposure of Oil-Contaminated Calanus finmarchicus in Atlantic Herring (Clupea harengus)

Suppression subtractive hybridization (SSH) cDNA library construction and characterization was used to identify differentially regulated transcripts from oil exposure in liver of male Atlantic herring (Clupea harengus) fed a diet containing 900 mg crude oil/kg for 2 mo. In total, 439 expressed sequence tags (EST) were sequenced, 223 from the forward subtracted library (enriched for genes putatively upregulated by oil exposure) and 216 from the reverse subtracted library (enriched for genes putatively downregulated by oil exposure). Follow-up reverse-transcription (RT) quantitative polymerase chain reaction (qPCR) analyses of gene transcription were conducted on additional herring exposed to food containing 9 (low), 90 (medium), and 900 (high) mg crude oil/kg feed for 2 mo. Chronic exposure of Atlantic herring to an oil-contaminated diet mediated upregulation of transcripts encoding antifreeze proteins, proteins in the classical complement pathway (innate immunity), and iron-metabolism proteins. Gene ontology (GO) analysis showed that “cellular response to stress,” “regulation to biological quality,” “response to abiotic stimuli,” and “temperature homeostasis” were the most affected go at the biological processes level, and “carbohydrate binding,” “water binding,” and “ion binding” at the molecular function level. Of the genes examined with RT-qPCR, CYP1A, antifreeze protein, retinol binding protein 1, deleted in malignant brain tumor 1, and ovary-specific C1q-like factor demonstrated a significant upregulation. Myeloid protein 1, microfibrillar-associated protein 4, WAP65, and pentraxin were downregulated in liver of fish from the high exposure group. In conclusion, this study suggests that 2 mo of oil exposure affected genes encoding proteins involved in temperature homeostasis and possible membrane stability in addition to immune-responsive proteins in Atlantic herring.
Transcriptional Activity of PGC-1α and NT-PGC-1α Is Differentially Regulated by Twist-1 in Brown Fat Metabolism

Brown fat expresses two PGC-1α isoforms (PGC-1α and NT-PGC-1α) and both play a central role in the regulation of cellular energy metabolism and adaptive thermogenesis by interacting with a wide range of transcription factors including PPARγ, PPARα, ERRα, and NRF1. PGC-1α consists of 797 amino acids, whereas alternative splicing of the PGC-1 α gene produces a shorter protein called NT-PGC-1α (aa 1–270). We report in this paper that transcriptional activity of PGC-1α and NT-PGC-1α is differently affected by the transcriptional regulator, Twist-1. Twist-1 suppresses PGC-1α but not NT-PGC-1α. The inhibition of PGC-1α activity by Twist-1 is mediated by direct interaction through the C-terminal region of PGC-1α (aa 353–797). Thus, the absence of the corresponding C-terminal domain in NT-PGC-1α allows NT-PGC-1α to be free from Twist-1-mediated inhibition. Overexpression of Twist-1 in brown adipocytes suppresses transcription of a subset of PGC-1α-target genes involved in mitochondrial fatty acid oxidation and uncoupling (CPT1β, UCP1, and ERRα). In contrast, NT-PGC-1α-mediated induction of these genes is unaffected by Twist-1. These findings show that differences in inhibitory protein-protein interactions of PGC-1α and NT-PGC-1α with Twist-1 lead to differential regulation of their function by Twist-1.
Tyrosine phosphorylation of paxillin and pp125FAK accompanies cell adhesion to extracellular matrix: a role in cytoskeletal assembly

Cells in culture reveal high levels of protein tyrosine phosphorylation in their focal adhesions, the regions where cells adhere to the underlying substratum. We have examined the tyrosine phosphorylation of proteins in response to plating cells on extracellular matrix substrata. Rat embryo fibroblasts, mouse Balb/c 3T3, and NIH 3T3 cells plated on fibronectin-coated surfaces revealed elevated phosphotyrosine levels in a cluster of proteins between 115 and 130 kD. This increase in tyrosine phosphorylation was also seen when rat embryo fibroblasts were plated on laminin or vitronectin, but not on polylysine or on uncoated plastic. Integrin mediation of this effect was suggested by finding the same pattern of elevated tyrosine phosphorylation in cells plated on the cell-binding fragment of fibronectin and in cells plated on a synthetic polymer containing multiple RGD sequences. We have identified one of the proteins of the 115-130-kD cluster as pp125FAK, a tyrosine kinase recently localized in focal adhesions (Schaller, M. D., C. A. Borgman, B. S. Cobb, R. R. Vines, A. B. Reynolds, and J. T. Parsons. 1992. Proc. Natl. Acad. Sci. USA. 89:5192). A second protein that becomes tyrosine phosphorylated in response to extracellular matrix adhesion is identified as paxillin, a 70-kD protein previously localized to focal adhesions. Treatment of cells with the tyrosine kinase inhibitor herbimycin A diminished the adhesion-induced tyrosine phosphorylation of these proteins and inhibited the formation of focal adhesions and stress fibers. These results suggest a role for integrin- mediated tyrosine phosphorylation in the organization of the cytoskeleton as cells adhere to the extracellular matrix.
A Variance Minimization Criterion to Feature Selection Using Laplacian Regularization

In many information processing tasks, one is often confronted with very high-dimensional data. Feature selection techniques are designed to find the meaningful feature subset of the original features which can facilitate clustering, classification, and retrieval. In this paper, we consider the feature selection problem in unsupervised learning scenarios, which is particularly difficult due to the absence of class labels that would guide the search for relevant information. Based on Laplacian regularized least squares, which finds a smooth function on the data manifold and minimizes the empirical loss, we propose two novel feature selection algorithms which aim to minimize the expected prediction error of the regularized regression model. Specifically, we select those features such that the size of the parameter covariance matrix of the regularized regression model is minimized. Motivated from experimental design, we use trace and determinant operators to measure the size of the covariance matrix. Efficient computational schemes are also introduced to solve the corresponding optimization problems. Extensive experimental results over various real-life data sets have demonstrated the superiority of the proposed algorithms.
Detecting non-orthology in the COGs database and other approaches grouping orthologs using genome-specific best hits

Correct orthology assignment is a critical prerequisite of numerous comparative genomics procedures, such as function prediction, construction of phylogenetic species trees and genome rearrangement analysis. We present an algorithm for the detection of non-orthologs that arise by mistake in current orthology classification methods based on genome-specific best hits, such as the COGs database. The algorithm works with pairwise distance estimates, rather than computationally expensive and error-prone tree-building methods. The accuracy of the algorithm is evaluated through verification of the distribution of predicted cases, case-by-case phylogenetic analysis and comparisons with predictions from other projects using independent methods. Our results show that a very significant fraction of the COG groups include non-orthologs: using conservative parameters, the algorithm detects non-orthology in a third of all COG groups. Consequently, sequence analysis sensitive to correct orthology assignments will greatly benefit from these findings.
MapReduce-Based Distributed K-Shell Decomposition for Online Social Networks

Social network analysis comprises a popular set of tools for the analysis of online social networks. Among these techniques, k-shell decomposition of a graph is a popular technique that has been used for centrality analysis, for communities discovery, for the detection of influential spreaders, and so on. The huge volume of input graphs and the environments where the algorithm needs to run i.e., large datacenters, makes none of the existing algorithms appropriate for the decomposition of graphs into shells. In this article, we develop for the first time in the literature, a distributed algorithm based on MapReduce for the k-shell decomposition of a graph. We furthermore, provide an implementation and assessment of the algorithm using real social network datasets. We analyze the tradeoffs and speedup of the proposed algorithm and conclude for its virtues and shortcomings.
Binding of thyroglobulin and thyroglobulin-antithyroglobulin immune complex to extraocular muscle membrane.

To study the possible role of a thyroid antigen and its immune complex in the pathogenesis of Graves' ophthalmopathy, the binding of human thyroglobulin (Tg) and Tg-anti-Tg immune complex (Tg-A) to human and bovine extraocular muscle membrane fractions were studied. Membrane fractions were prepared from homogenates by sucrose density gradient centrifugation and verified by electron microscopy. Tg-A was made by mixing Tg with human anti-Tg under conditions of antigen excess. In the optimal system, membrane fractions were incubated with 125I-Tg or 125I-Tg-A for 80 min at 37 C, in Tris buffer pH 7.4, in the presence of 0.8 mM EDTA and 13% dialyzed human serum. About 4% of 125I-Tg bound to human and bovine extraocular muscle membrane fractions of density <1.14 while binding of Tg-A was several-fold higher (up to 27%). Binding was detectable at 4 µg/ml of membrane fraction, and it increased progressively with fraction amount up to about 50 µg/ml; it was abolished by cooling to 4 C and diminished by heating to .
Interference mitigation technique for the sharing between IMT-advanced and fixed satellite service

In this paper, we propose an efficient and robust interference mitigation technique based on a nullsteering multi-user multiple-input multiple-output (MU-MIMO) spatial division multiple access (SDMA) scheme for frequency sharing between IMT-advanced and fixed satellite service (FSS) in the 3400-4200 and 4500-4800 MHz bands. In the proposed scheme, the pre-existing preceding matrix for SDMA unitary preceded (UPC) MIMO proposed by the authors is modified to construct nulls in the spatial spectrum corresponding to the direction angles of the victim FSS earth station (ES). Furthermore, a numerical formula to calculate the power of the interference signal received at the FSS ES when IMT-Advanced base stations (BS) are operated with the interference mitigation technique is presented. This formula can be derived in closed form and is simply implemented with the help of simulation, resulting in significantly reduced time to obtain the solution. Finally, the frequency sharing results are analyzed in the co-channel and adjacent channel with respect to minimum separation distance and direction of FSS earth station (DOE). Simulation results indicate that the proposed mitigation scheme is highly efficient in terms of reducing the separation distance as well as robust against DOE estimation errors.
Violent and sexual offenders: assessment, treatment and management

Foreword by Professor David P. Farrington Part I: Risk assessment - current perspectives 1. Violence risk assessment, Jennifer Lavoie, Laura Guy and Kevin Douglas 2. Sexual offender risk assessment: research, evaluation, best practice recommendations, and future directions, Douglas P. Boer and Stephen Hart 3. Domestic violence and stalking risk assessment, Randall Kropp Part II: Clinical assessment - current perspectives 4. Therapeutic assessment issues to consider with violent offenders, Jane L. Ireland 5. Assessing therapeutic needs for sex offenders, Leigh Harkins and Tony Beech 6. Assessing the clinical needs for stalking and domestic violence, Werner Tschan Part III: Treatment and management - current perspectives 7. Treatment approaches for violence, Jane L. Ireland 8. Treatment approaches for sexual violence, Carol A. Ireland and Rachel Worthington 9. Implications for treatment approaches for interpersonal violence: stalking and domestic, Niki Graham-Kevan and Stefanie Ashton Wigman 10. In their own worlds: the relationship between thinking and doing for convicted paedophiles, David Wilson and Tim Jones 11. Comparative analysis of the management of sex offenders within the USA and UK, Bill Hebenton 12. Challenges of managing the risk of violent and sexual offenders in the community, Tom Considine and Philip Birch
The Psychotherapy Outcome Problem: The Development of the Outcome Stability Index

Abstract Objective: Psychotherapy research commonly utilizes clients’ last session score as an indicator of treatment outcome. We examined whether this last session score is consistent with what would be predicted based on clients’ general trajectory in psychological functioning across sessions. We focused on the unstandardized residual variance at the last session, as this represents the degree to which the session score is divergent (or not) from what is predicted from the previous sessions (i.e., Outcome Stability Index; OSI). Method: The sample included 27,958 clients who attended on average 9.41 sessions. Each session, clients completed the Behavioral Health Measure-20 as a measure of psychological functioning. We converted the unstandardized residual variance for clients’ last session score into a Cohen’s d coefficient to aid in interpretation. Results: The mean OSI was 0.07 (SD = 0.58), suggesting excellent stability in their last session therapy outcome scores. However, approximately 33% of clients demonstrated poor or extremely problematic stability in their last session therapy outcome scores. Clients who demonstrated poor stability were classified as demonstrating reliable deterioration. Conclusions: Researchers may want to consider reporting OSI to assist readers’ understanding of the stability of therapy outcomes. Clinical or methodological significance of this article: Therapy outcome scores can vary from session to session, which can influence how we understand therapy outcomes that rely on last session scores. Studies examining therapy outcomes could report the Outcome Stability Index to better contextualize the results.
A novel distributed robust fault detection and isolation filter design for a network of nonhomogeneous multi-agent systems

A novel distributed fault detection and isolation (FDI) methodology for a network of nonhomogeneous multi-agent systems is proposed in this paper. An FDI filter is designed such that the effects of the disturbances and control inputs on the residual signals are minimized (for the purpose of fault detection) subject to the constraint that the transfer matrix function from the faults to the residuals is equal to a pre-assigned diagonal transfer matrix (for the purpose of fault isolation). It is shown that by using this approach each agent not only can detect and isolate its own faults but also is able to detect and isolate faults of its neighboring agents. Moreover, the method covers isolation of possibly simultaneous occurring faults in the system. Sufficient conditions for solvability of the problem are obtained in terms of linear matrix inequality (LMI) feasibility conditions. Extended LMIs characterization is used to reduce the conservativeness of the solution by introducing additional variables, to eliminate the coupling of the Lyapunov matrices with the system matrices. Simulation results illustrate the effectiveness of the proposed design methodology.
Tool development for post processing analysis of WCDMA measurements

In this work, a tool was developed for the post processing analysis of the drive test measurement files. This tool collects all the necessary information from measurement files and organizes this information to a data base. The tool plots of the Received Signal Code Power (RSCP) measurements on the map along the route of the car, using a color code. The RSCP measurement can be either the RSCP of the best server or the RSCP of a certain Cell. Moreover, a very important plot is also available, the plot which shows where are the interference measurement samples on the map.
Simulated annealing algorithm for facility layout problem with fixed machines and multiple process routes

A good placement of facilities contributes to the overall efficiency of operations and may reduce the total operating expenses up to 50% [Tompkins et al. (1996)]. Due to the variety of considerations found in the articles, researchers do not agree about a common and exact definition of layout problems. In its most general form, the FLP is defined as follows: Given N departments with known area requirements. In general, the objective is minimizing the total material handling cost which expressed as
Optimizations for configuring and mapping software pipelines in many core systems

Efficiently utilizing the computational resources of many core systems is one of the most prominent challenges. The problem worsens when resource requirements vary unpredictably and applications may be started/stopped at any time. To address this challenge, we propose two schemes that calculate and adapt task mappings at runtime: a centralized, optimal mapping scheme and a distributed, hierarchical mapping scheme that trades optimality for a high degree of scalability. Experiments on Intel's 48-core Single-Chip Cloud Computer and in a many core simulator show that a significant improvement in system performance can be achieved over current state-of-the-art.
Two Non-linear Parametric Models of Contrast Enhancement for DCE-MRI of the Breast Amenable to Fitting Using Linear Least Squares

This paper proffers two non-linear empirical parametric models—linear slope and Ricker—for use in characterising contrast enhancement in dynamic contrast enhanced (DCE) MRI. The advantage of these models over existing empirical parametric and pharmacokinetic models is that they can be fitted using linear least squares (LS). This means that fitting is quick, there is no need to specify initial parameter estimates, and there are no convergence issues. Furthermore the LS fit can itself be used to provide initial parameter estimates for a subsequent NLS fit (self-starting models). The results of an empirical evaluation of the goodness of fit (GoF) of these two models, measured in terms of both MSE and R^2, relative to a two-compartment pharmacokinetic model and the Hayton model are also presented. The GoF was evaluated using both routine clinical breast MRI data and a single high temporal resolution breast MRI data set. The results demonstrate that the linear slope model fits the routine clinical data better than any of the other models and that the two parameter self-starting Ricker model fits the data nearly as well as the three parameter Hayton model. This is also demonstrated by the results for the high temporal data and for several temporally sub-sampled versions of this data.