Miracle-dz/UniFAR-FTUs huggingface dataset:
�edia and Cu�tura� In�uences in A�rican-A�erican �ir�s� �atin� Disorder Risk

Objective. To investigate media and cultural in�uences in eating disorder development in African-American adolescent females. Method. Fiy-seven participants were recruited through churches and community organizations to complete a questionnaire. Results. Mainstream sociocultural identi�cation was associated with more eating disorder behavior in African-American females; cultural ethnic identi�cation was not signi�cantly associated with eating disorder behavior in African-American females, mainstream sociocultural identi�cation, cultural ethnic identi�cation, and body dissatisfaction signi�cantly predicted eating disorder behavior; and cultural ethnic identi�cation was positively correlated with mainstream sociocultural identi�cation. is study provides support for the importance of eating disorder prevention interventions that focus speci�cally on African-American girls.
Kobe University Repository : Kernel タイトル Tit le The Japan hospice and palliat ive evaluat ion study 4 : a cross-sect ional quest ionnaire survey 著者

Background: Constant evaluation is important for maintaining and improving the quality of end-of-life care. We therefore conduct the fourth Japan Hospice and Palliative Evaluation Study (J-HOPE4) as a continuous evaluation study. In this present paper, we describe the design of J-HOPE4. The main purposes of J-HOPE4 are as follows:1) to evaluate the processes, structures, and outcomes of palliative care acute hospitals, palliative care units, and home hospice services; 2) to examine bereaved family members’ self-reported psychosocial conditions, such as grief and depression as bereavement outcomes;3) to provide data to ensure and improve the quality of care provided by participating institutions via feedback based on the results from each institution; and 4) provide clinical and academic information concerning the implications of various issues in palliative care by conducting additional studies. Methods: We will conduct a cross-sectional, anonymous, self-reported questionnaire survey. In total, 190 institutions will participate in this study, meaning that 12,000 bereaved family members will be sent a questionnaire. Discussion: This is one of the largest cross-sectional surveys involving hospice and palliative care, both in Japan and worldwide. Because this study will have a large sample size, the findings are expected to be generalizable to other settings.
Improving Domain Adaptation by Source Selection

Domain adaptation consists in learning from a source data distribution a model that will be used on a different target data distribution. The domain adaptation procedure is usually unsuccessful if the source domain is too different from the target one. In this paper, we study domain adaptation for image classification with deep learning in the context of multiple available source domains. We propose a multisource domain adaptation method that selects and weights the sources based on inter-domain distances. We provide encouraging results on both classical benchmarks and a new real world application with 21 domains.
How to promote the participation of staff in innovation activities in hospital environment ?

The economic challenges and difficulties, increased needs for health services due to the growth of the number of elderly people and the lack of staff increase the importance of idea production and innovation activities in health care organizations. The concept of “Innovation” means an idea or a reform which has added value for its inventor or / and to its owner organization (Seeck 2008). It is also a process, in which an idea, which can be e.g. a product, service, action model, work process, or technological, pedagogical or immaterial solution to a problem, is first produced. An innovation can also be a new use or market place for an already existing product or service (Hidalgo & Albors 2008). Innovation is a process; after the establishment of a new idea, it is further developed, demonstrated, tested, perhaps commercialized, and taken in use in the end. Innovation is not always produced as a result of conscious thinking and planning; it can also be generated in an unnoticed way and be found to be an innovation only afterwards (Fuglsang & Sorensen 2011). Learning is connected to innovation. Learning can produce innovations and, on the other hand, involvement in an innovation process is an opportunity to learn (Hoyrup 2012).
Mean-field description of plastic flow in amorphous solids

Failure and flow of amorphous materials are central to various phenomena including earthquakes and landslides. There is accumulating evidence that the yielding transition between a flowing and an arrested phase is a critical phenomenon, but the associated exponents are not understood, even at a mean-field level where the validity of popular models is debated. Here we solve a mean-field model that captures the broad distribution of the mechanical noise generated by plasticity, whose behavior is related to biased Lévy flights near an absorbing boundary. We compute the exponent θ characterising the density of shear transformation P (x) ∼ x, where x is the stress increment beyond which they yield. We find that after an isotropic thermal quench, θ = 1/2. However, θ depends continuously on the applied shear stress, this dependence is not monotonic, and its value at the yield stress is not universal. The model rationalizes previously unexplained observations, and captures reasonably well the value of exponents in three dimensions. Values of exponents in four dimensions are accurately predicted. These results support that it is the true mean-field model that applies in large dimension, and raise fundamental questions on the nature of the yielding transition.
An Architecture for Matching The Data Protected With an Error-Correcting Code To Reduce Complexity and Latency

Data comparison is widely used in computing system to perform many operation. Where incoming information is needs to be compared with a piece of stored data to locate the matching entry. If both incoming bits and stored bits are matching means there is no error if mismatched means some type of error will occurred like random error or burst error. To detect and correct the error here error correcting codes are used. To further reduce the latency and complexity, in addition, a new butterfly-formed weight accumulator (BWA) is proposed for the efficient computation of the Hamming distance. The proposed architecture examines whether the incoming data matches the stored data if a certain number of burst errors are corrected. The basic function of the BWA is to count the number of 1’s among its input bits. It consists of multiple stages of HAs where each output bit of a HA is associated with a weight. The HAs in a stage are connected in a butterfly form so as to accumulate the carry bits and the sum bits of the upper stage separately.
Morphometric analysis of mice uteri treated with the preservatives methyl , ethyl , propyl , and butylparaben

The alkyl esters of p-hydroxybenzoic acid (PHBA) known as parabens (Pbens) are widely used as preservatives in food, pharmaceuticals, and cosmetics. Several in vivo and in vitro studies have shown these compounds to be estrogenic. Here, for the first time, we present evidence of their estrogenicity using a morphometric analysis of uteri from mice treated with the preservatives methylparaben (MePben), ethylparaben (EtPben), propylparaben (PrPben), and butylparaben (BuPben) compared with estradiol (E2). Different groups of adult ovariectomized (Ovx) CD1 mice were subcutaneously (sc) treated daily for three days with two different equimolar doses (362 and 1086 mmol/kg) of the Pbens: MePben (55 and 165 mg/kg), EtPben (60 and 180 mg/kg), PrPben (65 and 195 mg/kg), BuPben (70 and 210 mg/kg), E2 (10 mg/kg; 0.036 mmol/kg), and vehicle (propyleneglycol; V, 10 mL/kg). On the fourth day, uteri were dissected, blotted, weighed, and placed in a fixative solution for 24 h. The paraffin embeded uteri were cut to obtain 7 mm thick transversal sections. Luminal epithelium heights (LEH), glandular epithelium heights (GEH), and myometrium widths (MW) were measured. The highest Pbens dose was able to produce uterotrophic effects (38 to 76%) compared to E2 efects (100%). The relative uterotrophic potency to E2 (100) was from 0.02 to 0.009. Significant increases (PB/0.05) in LEH, GEH, and MW as compared with V were obtained: LEH from 87 to 113% (E2 153%), GEH from 10 to 40% (E2 60%), and MW from 35 to 43% (E2 88%). These results confirm that Pbens at the doses assayed here induce estrogenic histological changes in the uteri of Ovx mice. Toxicology and Industrial Health 2004; 20: 123 /132.
ESL Students' Reading Behaviors on Multiple-Choice Items at Differing Proficiency Levels: An Eye-Tracking Study

ESL Students’ Reading Behaviors with Multiple-Choice Items at Differing Proficiency Levels: An Eye-Tracking Study Juan M. Escalante Talavera Department of Linguistics and English Language, BYU Master of Arts Theorists have been concerned with the overlap of reading and problem-solving for at least a century (Thorndike, 1917, 1973–1974; Sternberg & Frensch, 2014). Various reading models have been proposed, including bottom-up and top-down reading processing (Goodman, 1972; Gough, 1972). In second-language literature, theorists have further noted that reading consists of strategic, purposeful, and interactive processes (Grabe, 2009). In test-taking situations, problem-solving is important because it can compensate for students’ language proficiencies. In spite of research showing the use of problem-solving in reading, less is known about how learners actually read and problem-solve in test-taking situations. This study centers around Khalifa, Weir, and colleagues’ model for cognitive processing in reading (Weir, Hawkey, Green, & Devi, 2009) in combination with eye-tracking technology in order to examine how ESL readers employ careful and expeditious reading. Data were gathered from 50 students attending a university-sponsored intensive English program (IEP). Participants read eight validated reading comprehension items at varying difficulty levels while their eye movements were recorded. Results indicate that student level may not be a factor in how carefully and expeditiously a student reads. However, statistical analyses suggest that text difficulty may be a factor in how carefully students read.
Data Reduction Methods for Reverse Engineering

Reverse engineering is an emerging technology that promises to play a role in reducing product development time. Reverse engineering in this paper refers to the process of creating engineering design data from existing parts. It creates or clones an existing part by acquiring its surface data using a scanning or measurement device. Recently, laser scanning technology has improved significantly and has become a viable option in capturing geometries of complicated design models. 3D laser scanners have become more accurate and the speed of data acquisition has increased dramatically. However, they generate up to thousands of points per second, and handling the huge amount of point data is a major problem. It becomes quite important, therefore, to reduce the amount of acquired point data and convert it into formats required by the manufacturing processes while maintaining the accuracy. This paper presents methods that can reduce efficiently the amount of point data.
UNDERSTANDING HUMAN COMPETENCE AT WORK : AN INTERPRETATIVE

In the prevalent rationalistic approaches, human competence at work is seen as constituted by a specific set of attributes, such as the knowledge and skills used in performing particular work. As an alternative to the rationalistic approaches, an interpretative approach, "phenomenography," is proposed and explored here. Findings suggest that the meaning work takes on for workers in their experience of it, rather than a specific set of attributes, constitutes competence. More specifically, the results demonstrate that the particular way of conceiving of work delimits certain attributes as essential and organizes them into a distinctive structure of competence at work.
An Approach to Modelling Information System Availability by Using Bayesian Belief Network

In today's era of the ubiquitous use of information technology (IT), it is expected that the information systems provide services to end-users on continuous basis, regardless of time and location. This is especially true in organizations where information systems (IS) support real-time critical operations, particularly, in the industries in which these systems must continuously operate 24x7x365. This paper presents a modified Bayesian Belief Network model for predicting IS availability. Based on a thorough review of all IS availability dimensions, we proposed a modified set of determinants. The model is parametrized using probability elicitation process with the participation of experts from the BiH financial sector. The results showed that most influential determinants of the IS availability are a timely and precise definition of the availability requirements, quality of IT operations, management and network.
Comparison of steady and unsteady exhalation using multiplane-stereo PIV

A analysis of the flow field in a realistic, transparent model of the human lung is presented in this experimental study. The model consists of the bronchial tree up to the third generation of bifurcation. The spatial focus is on the first bifurcation especially the left main bronchus, whereas the temporal focus is on the exhalation for steady und unsteady flow. Due to the highly three-dimensional and asymmetric character of the flow field time resolved 3D-3C measurements are performed using multiplane-stereo particle-image velocimetry (PIV) and a refractive-index matched fluid. The velocity field is recorded in 13 measurement planes within the human lung for steady exhalation and exhalation during a breathing cycle. The investigated Reynolds number of ReD = 600 is based on the hydraulic diameter and the bulk velocity. The measurements in the left bronchus evidence the development of highly three-dimensional vortical structures which are analyzed by the helicity distribution. The superposition of the observed vortical structures with the upstream fluid transport generates a spiral like flow in both test cases and lead to a wash-out hypothesis of aerosol particles in the human lung.
Using Convolutional Neural Network for the Tiny ImageNet Challenge

In this project we work on creating a model to classify images for the Tiny ImageNet challenge. We use Convolutional Neural Networks trained on GPUs to classify images in the Tiny ImageNet data set to correctly identify the images to the labels as well as possible. We train multiple deep models to classify images on the test data set and explore using ensemble techniques to improve the test set classification accuracy.
Efficient Genetic Transformation of Brassica juncea with Lectin Using Cotyledons Explants

Lectins are the major defense genes of plant origin which have insecticidal activity against sap sucking insects. We have isolated and introduced lectin gene in Brassica juncea cv. Varuna using Agrobacterium mediated genetic transformation method against aphids’ resistance. The PCR amplified lectin gene was cloned directly into pCAMBIA1300 binary vector using restriction sites KpnI and XbaI. For tissue specific expression of lectin gene, phloem specific promoter rolC was cloned directionally using EcoRI and KpnI restriction sites in LL gene construct and LL+rolC construct in pCAMBIA1300 was mobilized into Agrobacterium tumefaciens (GV3101) for genetic transformation of Brassica juncea using cotyledons as explants. The cotyledon explants showed average transformation efficiency of 30-40% for LL and CPPI genes. Molecular analysis of putative transgenics was done by PCR and RT-PCR confirmed the presence and expression of the transgenes in the transgenic B. juncea plants.
Diffraction by a Small Circular Aperture

The first reference to the diffraction phenomena appears in the notes of Leonardo da Vinci and it was widely studied after that by Grimaldi, Newton, Young, Fresnel, and others. However, it was not until 1882 that the theory was put on mathematical grounds by Kirchhoff. The vectorial generalization of the theory was developed by Smythe in 1947. [1] A rigorous analysis of the theory of diffraction is based on Maxwell’s equations and the appropriate boundary conditions, which are used in order to calculate the scattered fields that result from induced currents in the diffracting object. The basic foundation of scalar diffraction theory is Green’s theorem, which is used to express the scalar field inside a closed volume in terms of the values of the field and its normal derivatives on the boundary surface. The general result of scalar diffraction theory is given by: ( ) ∫ ′ ′ ∇′ ⋅ ′ − ′ ∇′ ⋅ ′ =
Nucleation and Order of a Polymer in a Confined Liquid Crystal Matrix

We present a numerical investigation of nucleation and ordered structure formation of a flexible polymer in a nematic liquid crystal matrix confined between two parallel walls in both a 2D and a 3D channel geometry. The model is of Landau-de Gennes type for a conserved, compositional order parameter and a non-conserved, orientational tensor order parameter and allows a study at the nanoscale. The resulting system is numerically stiff, with several high order nonlinear coupled terms. This poses a significant numerical challenge that we overcome with a linearly implicit method. This investigation focuses on the effects of wall and surface anchoring on the nucleation of ordered, polymer-rich domains as well as in the selection of lamellae. In 2D, we find that chains of polymer-rich droplets nucleate, starting at the walls and aligned with them, and continue to form until they fill up much of the channel. Without orientational defects observed in the liquid crystal-rich phase, the droplets eventually coalesce, coarsen, and the linear chain order is destroyed. In 3D, the polymer nucleates into layers of cylindrical structures, instead of droplets, whose principal axis is oriented with the wall anchoring angle. We also find that when the liquid crystal component is initially in isotropic state, stable equilibrium lamellae can be obtained for both homeotropic and planar surface anchoring conditions, in 2D and 3D. AMS subject classifications: 76A15, 35Q99
Plant-derived foods containing polyphenols with endothelial protective effects

Cardiovascular disease (CVD) is the leading cause of death and disability in the world. The primary cause of CVD is development of atherosclerosis resulting from chronic inflammation and endothelial dysfunction. Indeed, endothelial dysfunction is considered to be the earliest stage in the process of atherosclerosis development. There is great interest in discovering strategies to inhibit endothelial dysfunction and atherosclerosis progression. The role of plant constituents routinely consumed have attracted much attention as preventive health approaches due to their availability and perceived safety. Accumulating studies suggest that constituents present in tea, grape, cocoa, soy and pomegranate are associated with reduced risks of CVD. In this review, we discuss the potential of the above mentioned dietary ingredients to improve endothelial function in vivo and in vitro.
A Self-Consistent Framework for Multi-Line Modeling in Line Intensity Mapping Experiments

Line intensity mapping (LIM) is a promising approach to study star formation and the interstellar medium (ISM) in galaxies by measuring the aggregate line emission from the entire galaxy population. In this work, we develop a simple yet physically-motivated framework for modeling the line emission as would be observed in LIM experiments, which is done by building on analytic models of the Cosmic Infrared Background that connect total infrared luminosity of galaxies to their host dark matter halos. We present models of the H I 21 cm, CO(10), [C II] 158μm, and [N II] 122 and 205μm lines consistent with current observational constraints. With four case studies of various combinations of these lines that probe different ISM phases, we demonstrate the potential for reliably extracting physical properties of the ISM, and the evolution of these properties with cosmic time, from auto and cross-correlation analysis of these lines as measured by future LIM experiments.
Financial Development, Economic Freedom and Economic Growth: New Evidence from Tunisia

This article investigates the effect of financial development on economic growth conditions well-developed institutions in Tunisia as a case study during the period 1980-2014, using the generalized moment method (GMM) to analyze the panel data. We have empirically examined the relationship between financial development and institutions using the index of economic freedom as an institutional variable. It has been found that economic freedom can be used as a proxy of developed institutions and that the effect of financial development on economic growth improves in the presence of the variable of economic freedom. We have also found that economic freedom is beneficial to growth and favors the relationship between financial development and the developed institutions and their combined effects on economic growth. These findings suggest the need to promote greater economic freedom and well-developed institutions to improve the relationship between financial development and economic growth.
Potential antioxidant and antimicrobial activity of Gymnema sylvestre related to diabetes

Diabetes Mellitus is characterised by an elevated blood sugar level and is often associated with damage to multiple organ systems mediated by free radicals. Gymnema sylvestre is a traditional medicinal plant useful in diabetics because of its ability to suppress sweet taste and anti-obesity effects. This study was conducted to assess its antioxidant and antimicrobial properties. Methanolic extract was prepared from dried Gymnema leaves. Three different methods – DPPH free radical quenching activity, reducing power assay and hydroxyl free radical quenching activity, were used to study its antioxidant activity. All three methods showed significant antioxidant activity of the extract. Gymnema extract also showed significant antimicrobial activity against the bacteria P aeruginosa, S aureus and the fungus F oxysporum. Gymnema sylvestre has strong antioxidant and antimicrobial activity as tested by different methods. This raises the possibility that it can provide long term benefits in diabetics by reducing long term complications.