Miracle-dz/UniFAR-FTUs huggingface dataset:
Think 'thin' and feel bad: the role of appearance schema activation, attention level, and thin-ideal internalization for young women's responses to ultra-thin media ideals

Abstract This study extends previous demonstrations that thin media models have a negative impact on young women’s body image by examining howthis effect occurs. In addition to thin–ideal internalization, shown to moderate this impact (Dittmar & Howard, 2004; Halliwell & Dittmar, 2004a), it investigates two further factors not previously explored together: first, the level of attention at which women process thin images and, second, appearance schema activation as an underlying process that mediates the exposure–anxiety link. Seventy-five women were exposed to either neutral advertisements (no models) or to thin models, at either low or high attention, manipulated by exposure time (10 s vs. 150 ms) and focus instructions. Thin models increase weight–related anxiety to the extent that women internalize the thin ideal, but anxiety is heightened further under conditions of high attention. These two effects are independent, and only the first is mediated fully by appearance schema activation. Research and int.
Abundance of Adventive Thrips palmi (Thysanoptera: Thripidae) Populations in Florida During the First Sixteen Years §

ABSTRACT Thrips palmi Karny (Thysanoptera: Thripidae), invaded Miami Dade-county in 1990 and caused significant economic damage by defoliating various vegetable crops. It commonly occurs on the abaxial surface of host leaves where eggs are deposited individually inside the leaf tissues. Highest abundance of T. palmi was recorded on bean and eggplant in 1991–1994 in Tropical Research and Education Center research plots and commercial fields in MiamiDade County. Density of T. palmi decreased significantly in subsequent years after the use of spinosad and other effective chemical insecticides. Thrips palmi populations increased in 2008 in spite of use of spinosad and showed increasing pattern causing crops loss at economic level. Orius insidiosus Say population was low in both TREC research fields and commercial fields due to harsh chemical management program, where insecticides belonging to various chemical classes were used alone (TREC fields) or in combination (commercial fields) to control T. palmi and other insect pests. None of the commonly used available insecticides alone or in combination provided satisfactory control of T. palmi in the early stage of invasion. Amongst various insecticides tested spinosad provided significant control of T. palmi on the crops until 2008 after which there was reduced effect of the chemical due to frequent use for managing multiple pests.
Business Case for a Common NFV Platform

When looking to expand existing services deployments or deploy new services, communications service providers (CSP) have a choice between continuing with traditional appliance-based solutions, moving to a vendor-supplied integrated network function virtualization (NFV) custom stack, built with a vendor-specific software and supporting a finite range of VNFs or deploying a common NVF platform that is independent and designed to support any VNF from any vendor. Operationally, there are benefits in all models, but financially, there is a clear leader in the common platform.
Research of Iris Recognition Algorithm Based on Fractal GeometryTheory

The rapid development of global economy and science and technology makes the modern society to the safety requirements more and more important. Personal identification system has been unable to meet the need of information security, people proposed biometric identification technology using biometric for human identification, such as fingerprints, iris and voice. The iris recognition technology with its non-invasive, high reliability advantages of rapid development is becoming the research focus in the field. Fractal geometry theory provides new ideas and methods to express nonlinear image information, the fractal dimension is an important parameter of fractal geometry, is a measure of complexity of irregular change, covering blanket dimension can better reflect the graphics changes in different resolution characteristics; missing is the fractal dimension and independent statistics, is a supplement to the fractal dimension, overcome the different texture characteristics may have the same fractal dimension of the problem. This paper presents a blanket and missing items based on the combination of texture feature extraction algorithm, can make full use of radiation in different resolution iris texture information and texture, classification ability make feature matrix has a better.
On the interplay between embedded graphs and delta‐matroids

The mutually enriching relationship between graphs and matroids has motivated discoveries in both fields. In this paper, we exploit the similar relationship between embedded graphs and delta‐matroids. There are well‐known connections between geometric duals of plane graphs and duals of matroids. We obtain analogous connections for various types of duality in the literature for graphs in surfaces of higher genus and delta‐matroids. Using this interplay, we establish a rough structure theorem for delta‐matroids that are twists of matroids, we translate Petrie duality on ribbon graphs to loop complementation on delta‐matroids and we prove that ribbon graph polynomials, such as the Penrose polynomial, the characteristic polynomial and the transition polynomial, are in fact delta‐matroidal. We also express the Penrose polynomial as a sum of characteristic polynomials.
Assessment To Aid in the Treatment Planning Process

Assessment of alcohol and other drug (AOD) use problems serves multiple functions (e.g., Shaffer and Kauffman 1985; Jacobson 1989a, 1989b; Allen and Mattson 1993; Carroll 1995; Donovan 1995; Carey and Teitelbaum 1996; Donovan 1998). The Institute of Medicine (1990) and others (e.g., Carroll 1995) have suggested three stages of a comprehensive assessment for all indi­ viduals seeking specialized treatment for alcohol problems: a screening stage, a problem assess­ ment stage, and a personal assessment stage. The first two stages involve screening, case finding, and identification of a substance use disorder; an evaluation of the parameters of drinking behavior, signs, symptoms, and severity of alcohol depen­ dence, and negative consequences of use; and formal diagnosis of alcohol abuse or dependence. Each of these aspects of the assessment process is covered in detail in other chapters in this Guide. Although these drinking-related parameters are important in defining the person’s treatment needs, a broader range of factors must be considered in the treatment planning process because alcohol use both affects and is affected by a number of other areas of life function (Donovan 1988; Institute of Medicine 1990; Donovan 1992, 1998). The personal assessment stage recommended by the Institute of Medicine focuses on this broader array of personal problems being experienced by the individual. Carroll (1995) suggested that this stage involves a comprehensive description of the indi­ vidual and his or her circumstances (e.g., demo­ graphic characteristics, concurrent problems, comorbid psychiatric disorders, family history). The process should focus on clients’ strengths as well as weaknesses, problems, and needs. Some of the identified problems may be fairly directly related to alcohol use (contingent problems), while others may not be at all attributable to alcohol use (noncontingent problems). Examples may include psychological, social, and vocational problems, each of which may involve an interactive relation­ ship with drinking. The provision of a comprehen­ sive assessment is consistent with the recommendations derived from a biopsychosocial model of addictions and the process of assessment (Donovan 1988) and is a requirement of a number of accrediting bodies such as the Joint Commission on Accreditation of Healthcare Organizations or the Commission on Accreditation of Rehabilitation Facilities. Within the clinical context, the primary goal of assessment is to determine those characteristics of the client and his or her life situation that may influ­ ence treatment decisions and contribute to the success of treatment (Allen 1991). Additionally, assessment procedures are crucial to the treatment planning process. Treatment planning involves the integration of assessment information concerning the person’s drinking behavior, alcohol-related problems, and other areas of psychological and social functioning to assist the client and clinician to develop and prioritize shortand long-term goals for treatment, select the most appropriate interventions
The effect of organic selenium on slaughter value, physical-chemical and technological quality characteristic of pork

The work results clearly confirmed the suitability to use organic selenium in feed mixture for pigs with the purpose of improving production indicators, the slaughter value of animals as well as physical- chemical and technological quality characteristic of pork meat. The results point out the main advantages of organic selenium application in pig rearing. These advantages are selenium retention in muscles and tissues of pigs, positive effect on meat quality with lower occurrence of pale, watery meat (PSE) syndrome, lower loses by dripping from slaughter halves and better nutritional value of meat which is significantly enriched by selenium. According to the present knowledge, higher selenium content in groceries has the positive effect on people's health by lowering the occurrence of cardio-vascular diseases, brain and thyroid disorders and by improving of a body immune system. The organic selenium form features enable effective transfer through the food chain and it is beginning to be utilised worldwide with modern concept of production, so called functional groceries, among which we can list also animal products enriched by organic selenium.
BIOLOGICAL CONDITIONS FOR OSCILLATIONS AND CHAOS GENERATED BY MULTISPECIES COMPETITION

We investigate biological mechanisms that generate oscillations and chaos in multispecies competition models. For this purpose, we use a competition model concerned with competition for abiotic essential resources. Because phytoplankton and plants consume quite a number of abiotic essential resources, the model is particularly relevant for phytoplankton communities and terrestrial vegetation. We show that the predicted dynamics depend crucially on the relationship between the resource requirements and the resource consumption characteristics of the species. More specifically, the model predicts that competition generates (1) stable coexistence if species consume most of the resources for which they have high requirements, (2) oscillations and chaos if species consume most of the resources for which they have intermediate requirements, and (3) competitive exclusion with a winner that depends on the initial conditions if species consume most of the resources for which they have low requirements. The theoretical predictions are compared with available data on resource utilization patterns of phytoplankton species.
Statistical Characterization of the Root System Architecture Model CRootBox

The stochasticity of 3D root architecture models needs to be recognized by statistical analysis. Probability density functions, regression, and correlation analyses reveal the impact of model input parameters on different CRootBox measures. Distributions of ratios of root system measures are highly asymmetric. Multivariate approaches (copulas) are envisioned for future root architecture model analysis.
Potentiality of selected seaweed for the production of nutritious fish feed using solid state fermentation

The realization of the importance of fish as a protein source in human and animal food as well as the rising cost of imported fish feed ingredients have called for an intensive research towards the production of high nutritional fish feed using cheap and natural nutrient sources. In this study, seaweed and palm kernel cake were used as alternative protein ingredients in fish feed and the enrichment of its nutritional value was achieved by using solid state fermentation. Following the fermentation process, the nutrient compositions of the three types of seaweeds from three different major groups: Caulerpa lentillifera (Chlorophyta), Eucheuma cottonii (Rhodophyta) and Sargassum fulvellum (Phaeophyta) were compared in this study. Solid state fermentation was conducted for 6 days using fungus (Phanerochaete chrysosporium) and yeast (Candida utilis) in order to improve the bioprotein production. The comparison between the nutrient compositions before and after the fermentation showed that fermentation process can increase the nutrient value of the bioprotein. Results of the analysis showed that Sargassum fulvellum is the best type of seaweed with the highest total protein, 52.28 mg/g, high percentage improvement of ash after fermentation, 61.31% and contains high amount of carbohydrate, 445.89 mg/g which are very important in fish diet. Total reducing sugars also showed a significant increment after the fermentation. Hence, Sargassum fulvellum can be used as an alternative protein ingredient in the fish feed since it was rich in nutritional compounds compared to the other types of seaweed tested.
Optimization of Parallel Software Tuning with Statistical Modeling and Machine Learning

High-performance computation is the main goal of parallel computers, but the performance of compiled code is often far from the best. Parallel program auto-tuning is the method adjusting some structural parameters (mainly, data structures) of an application program for a target hardware platform to speed-up computation as much as possible. In previous work, the authors have developed a framework intended to automate generation of an auto-tuner from an application source code. However, auto-tuning for complex and nontrivial parallel systems is usually time-consuming due to empirical evaluation of huge amount of parameter values combinations of an initial parallel program in a target environment. In this paper, we propose to improve the auto-tuning method using statistical modeling and neural network algorithms that allow to reduce significantly the space of possible parameter combinations. The resulting optimization is illustrated by an example of tuning a parallel sorting program, that combines several sorting methods. The optimization is done by means of the automatic training of a neural network model on results of “traditional” tuning cycles with subsequent replacement of some auto-tuner calls with an evaluation from the statistical model.
Estimating Volumes of Simulated Lung Cancer Nodules∗

Lung cancer is a disease of uncontrolled cell growth in tissues of the lung. Computed tomography (CT) shows promise in detecting lung cancers at earlier, more operable stages, when survival is better. CT scans generate multiple 2-D slice images of the lung and digital image processing software is used to combine these images into a 3-D representation of the lung and, in particular, an identified cancer lesion. Various CT scanners use, often different and usually proprietary, software to develop these 3-D images and generate parameters such as lesion volume. Tracking lesion volume is considered a good diagnostic tool for evaluating the results of patient treatment. The Food and Drug Administration (FDA) is conducting research on developing reference cancer lesions, called phantoms, to test CT scanners and their proprietary software. FDA loaned two semi-spherical phantoms to NIST, called Green and Pink, and asked to have the phantoms measured by a coordinate measuring machine (CMM) and the volumes estimated. This report describes in detail both the experimental and computational methods used to estimate the phantoms’ volumes as well as a bootstrap method for estimating the uncertainties of the computed volumes. Three sets of CMM measured data were produced. One set of data involved data density measurements of a known calibrated metal sphere. The other two sets were measurements of the two FDA phantoms at two densities, called the coarse set and the dense set. Two computational approaches were applied to the data. In the first approach spherical models were fit to the calibrated sphere data and to the phantom data. The second approach was to model the data points on the boundaries of the spheres with surface B-splines and then use the Divergence Theorem to estimate the volumes. The results for the coarse data set tended to predict the volumes as expected with low expanded uncertainties and the results did show that the Green phantom was very near spherical. This was confirmed by both computational methods. The spherical model did not fit the Pink phantom as well and the B-spline approach provided a better estimate of the volume in that case. The results for the dense data set did not provide as nice a prediction of volumes as the coarse data set and produced larger expanded uncertainties. A discussion of some possible reasons for these results will be given in the conclusion section. The report includes the MATLAB codes used in the study.
Estimation of Handgrip Strength in Patients with Type-2 Diabetes Mellitus

: Introduction: Type-2 diabetes mellitus (T2DM) is the most common endocrine disorder worldwide. The objectives of the present study were to estimate the handgrip strength of Type-2 diabetic patients and to search its correlations with selected anthropometric variables studied. Materials and Methods: A total of 576 purposively selected Type-2 diabetic patients (251 male and 325 female) aged 35-60 years were considered as samples. An adequate number of controls (n=440; males 152, females 288) were also taken from the same place for comparisons. To serve these purposes, dominant and non-dominant handgrip strength and three anthropometric variables, viz. height, weight and body mass index were measured on all the subjects. Age of the subjects was estimated from their date of birth. Results: In results, one way analysis of variance showed significant between-group differences (p ≤ 0.001) in all the variables studied between the patients with T2DM and controls. Significant sex differences (p≤ 0.001) were found in all the variables studied between the male and female patients. Both in male and female patients with T2DM, significant correlations (p ≤ 0.001) of dominant and non-dominant handgrip strength were found with all the anthropometric variables studied. Conclusion: In conclusion, it may be stated that handgrip strength of patients with T2DM was reported to be significantly lower than there control counterparts.
Analysis of Different Power Efficient Flip-Flops

: A power efficient flip flop dissipates very less power as compared to normal flip flops. In this paper different power efficient flip-flop switch different specific features are compared. A specified category of power efficient flip-flops known as the Dual Edge Triggered flip-flops are also considered in this comparison. The Dual Edge Triggered flip-flops responses to both positive and negative edge of clock. Hence this flip-flop can significantly reduce the clock related power. In this article, we compare several published implementations of power efficient flip-flops for performance & power consumption.
Are Mature Female Consumers Well Served by the Fashion Retail Sector

The fashion retail sector is going through extremely challenging times with continuing globalisation and the ongoing impact of the recent global recession in many markets. Markets are highly competitive and companies must strive to craft strategies which will deliver competitive advantage. Across the developed and the developing world, populations are ageing. The trend is so marked as to have been termed an ‘Agequake’ by A.T. Kearney, (2011, 1) in terms of its predicted impact on economies, companies and most particularly, retailers. Women aged 50 and over are now one of the most powerful consumer groups in the UK, spending more than £2.5bn per season on fashion (Kantar Worldpanel 2014). Furthermore, 90% of British retailers are seeing most growth come from the 50 plus sector (Smithers, 2014). Yet research commissioned by retailer JD Williams in 2014 found that over 60% of mature women (defined in the study as 50 plus) felt ‘underserved’ and ‘forgotten’ by the fashion industry. Given the macro, socio-demographic trends of a growing segment of mature consumers with high disposable incomes, the question must be asked why mature women feel the fashion industry has forgotten them and whether fashion retailers are overlooking the opportunity for competitive advantage which would accrue from targeting this potentially lucrative segment? This paper will review the key literature in the areas of segmentation and maturity to gain an insight into the segmentation strategies of the fashion retail sector and their perception of the mature female consumer. Furthermore, the possibility of an academic / practitioner divide will be reviewed to establish whether this exists and if so to establish its impact on the segmentation strategies of fashion retailers.
A Distinctive Radiographic Finding in Eisenmenger Syndrome

Copyright © 2005 American Heart Association. All rights reserved. Print ISSN: 0009-7322. Online 72514 Circulation is published by the American Heart Association. 7272 Greenville Avenue, Dallas, TX DOI: 10.1161/CIRCULATIONAHA.104. 509869 2005;112;2778-2785 Circulation R. Aberle Ramon Sheehan, Joseph K. Perloff, Michael C. Fishbein, David Gjertson and Denise Syndrome Pulmonary Neovascularity: A Distinctive Radiographic Finding in Eisenmenger http://circ.ahajournals. org/cgi/content/full/112/18/2778 located on the World Wide Web at: The online version of this article, along with updated information and services, is
Optimal preview control for a class of continuous time‐invariant descriptor systems

This paper presents the optimal finite horizon linear‐quadratic control for a class of continuous linear time‐invariant descriptor systems subject to a previewable desired output. For a quadratic performance index and a giving reference sequence, the solution is obtained in four steps. First, the continuous‐time descriptor systems with previewable desired tracking signals are transformed into augmented error descriptor systems. Then, the necessary optimality conditions are derived from the maximum principle. Finally, the necessary optimality conditions can be transformed into differential Riccati equation by performing singular value decomposition of Ez. Subsequently, the solution of the differential Riccati equation can be obtained by solving the algebraic Riccati equation and the differential Lyapunov equation. The effectiveness and validity of the proposed approach have been demonstrated by an example. Copyright © 2015 John Wiley & Sons, Ltd.
WHO EMRO | The role of access to affordable and quality assured blood and blood products for achieving Universal Health Coverage

1Medical Officer, Department of Communicable Diseases, WHO Regional Office for the Eastern Mediterranean, Cairo, Egypt 2Director, High Institute of Research and Education in Transfusion Medicine, Iranian Blood Transfusion Organization, (WHO Collaborating Centre for Research & Training on Blood Safety), Tehran, Islamic Republic of Iran 3Dire ctor, National Blood Transfusion Centre (WHO Collaborating Centre for Transfusion Medicine), Tunis, Tunisia 4