Miracle-dz/UniFAR-FTUs huggingface dataset:
Therapists who self-identify as being 'recovered' : experiences working with body image disturbance and eating disorders

Female therapists who have recovered from past body image disturbance or an eating disorder are often drawn to working with others suffering with these problems. They may have a lot to offer in their work by having important insight into the healing process; however this client group may evoke various emotional and embodied feelings in the therapist, particularly in relation to body image, food and weight. By using an Interpretative Phenomenological Analysis method of qualitative enquiry, a sample of nine recovered female therapists was interviewed to explore the subjective experience and management of feelings and countertransference reactions that emerged with clients struggling with eating disorders and/or body image disturbance; as well as the self-support strategies they use alongside their work. Through an analysis and interpretation of the data, three master themes emerged: firstly, ‘Understanding the Struggle: A Shared Experience’ capturing the therapist’s personal understanding of the struggle; secondly, ‘Becoming Entangled: Old Feelings Resurfacing’ conveying the negative consequences for the recovered therapist when their own wounds became entangled with those of the client; and thirdly, ‘Self-Support Strategies: A Life-Long Healing Process’ which includes effective methods used by participants. The implications for practice include: the importance of recovered professionals nurturing their reflexive capacity to continually process and manage their subjective experiences and countertransference responses which are evoked in their work; the need for training courses to place greater emphasis on personal therapy as a course requirement, and the educating of trainees on the management of embodied experience in the therapy room, particularly when working with body issues; the importance of therapists having explored their issues in personal therapy, and being ‘recovered enough’ before working with an eating disorder or body image disturbance client group; the importance of regular supervision for support and reflection; and lastly the maintaining of recovery and wellbeing through ‘bio-psycho-social’ self-support strategies.
A PROBABILITY-ESTIMATION-BASED STRATEGY TO OPTIMIZE THE CLASSIFICATION RULE SET EXTRACTED FROM BAYESIAN NETWORK CLASSIFIERS

This paper describes the modeling of a biomass-based weed-crop competitiveness classification process based on classification rules extracted from Bayesian network classifiers. Two Bayesian network classifiers are employed, namely an unrestricted Bayesian network classifier and a näıve Bayes classifier. The BayesRule algorithm is then used to extract a set of rules from each Bayesian network classifier. In the sequel, the class probability estimate is used as a pruning strategy to optimize each rule set. Results concerning the performance and adequacy of the proposed pruning strategy are presented and discussed for comparison purposes. Resumo— Este trabalho descreve a modelagem de um processo de classificação da competitividade entre plantas daninhas e cultura considerando a biomassa das plantas. O processo é baseado em regras extráıdas de redes Bayesianas de classificação. Duas redes Bayesianas de classificação são empregadas, sendo uma rede de classificação Bayesiana irrestrita e uma rede näıve Bayes. O algoritmo BayesRule é então usado para extrair um conjunto de regras a partir de cada uma das redes. Em seguida, a estimativa da probabilidade da classe é usada como estratégia de poda para otimizar cada conjunto de regras. Resultados referentes ao desempenho e adequação da estratégia de poda proposta são apresentados e discutidos para fim de comparação.
Measurement and Network Modeling of Liquid Permeation into Compacted Mineral Blocks.

A microbalance has been used to measure the rate of uptake of a wetting fluid, 1,3-propandiol, into a cube of compacted calcium carbonate. The cube had sides 12 mm long, with a wax band applied to the outer perpendicular edges of one basal plane to prevent external surface uptake, and the liquid was applied in a highly controlled manner at this single face only. The percolation characteristics of an identical sample were measured by mercury porosimetry. A three-dimensional void structure was generated with the same percolation characteristics using a software package called "Pore-Cor. " The wetting of 1,3-propandiol into this model structure was then calculated using an extended Lucas-Washburn equation, developed by Bosanquet, which includes viscous, inertial, and capillary force effects. Neither the experimental nor the simulated wetting can be explained in terms of an "hydraulic stream tube" or "effective hydraulic radius" model. A mathematical function is presented which compensates for the differences in the boundary conditions between the simulation and the experiment. The wetting is found to be initially slowed by inertial flow, then speeded up to a t(0.8) dependence by the connectivity of the three-dimensional void network. The effect of the inertial flow is most pronounced for larger pores. Copyright 2000 Academic Press.
Text retrieval based on the feature conversion of vector space

This paper presents a text retrieval method based on vector space feature conversion. Even though knowledge-based semantic fingerprint information and semantic information obtained by the Tag-LDA topic model are two different representations of semantic features of the same text, they are incompatible with semantic information. Here we introduce the vector space as a bridge to transfer knowledge-based semantic fingerprint information space into the Tag-LDA model space and prove the rationality of the conversion process with correlation theory. The compatible semantic fingerprint information into the Tag-LDA model generate a new topic model STag-LDA. The Stag-LDA model has certain disambiguation effect for the semantic information of the tag. So, it can mine text semantic information more accurately to improve the retrieval efficiency.
Measurement and utilization of customer-provided resources for cloud computing

Recent years have witnessed cloud computing as an efficient means for providing resources as a form of utility. Driven by the strong demands, such industrial leaders as Amazon, Google, and Microsoft have all offered practical cloud platforms, mostly datacenter-based. These platforms are known to be powerful and cost-effective. Yet, as the cloud customers are pure consumers, their local resources, though abundant, have been largely ignored. In this paper, we for the first time investigate a novel customer-provided cloud platform, SpotCloud, through extensive measurements. Complementing data centers, SpotCloud enables customers to contribute/sell their private resources to collectively offer cloud services. We find that, although the capacity as well as the availability of this platform is not yet comparable to enterprise datacenters, SpotCloud can provide very flexible services to customers in terms of both performance and pricing. It is friendly to the customers who often seek to run short-term and customized tasks at minimum costs. However, different from the standardized enterprise instances, SpotCloud instances are highly diverse, which greatly increase the difficulty of instance selection. To solve this problem, we propose an instance recommendation mechanism for cloud service providers to recommend short-listed instances to the customers. Our model analysis and the real-world experiments show that it can help the customers to find the best trade off between benefit and cost.
Religion and New Media: A Uses and Gratifications Approach

ABSTRACT This research examines specific relationships between new media and religion. While prior research has focused on the question of whether a relationship exists, we explore technology usage as a predictor of specific religious behavior. Using a sample (N = 423) comprising a cross-section of religious and cultural backgrounds, results indicate that attitudes toward technology and use of social media contribute to how people view religion as a mechanism for meeting needs. Applying uses and gratifications theory in a unique way, three needs related to religion emerged: religion as a means of passing time, religion as a mode of meeting self needs, and religion as a catalyst for learning. We discuss implications of our findings.
Business-to-Business Electronic Commerce Marketplaces: The Alliance Process

Based on ethnographic studies of two business-to-business (B2B) electronic commerce (EC) marketplaces and a review of interorganizational relationship literature, this paper proposes a model explaining why organizations form alliances to create and why organizations join B2B EC marketplaces. This paper proposes viewing B2B EC marketplaces as a public good. The paper uses public good theory as an umbrella integrating transaction cost and resource dependency perspectives with Oliver’s [1990] determinants of interorganizational relationships.
Considerations For Using Subjective Mental Workload Measures In Populations With Cognitive Deficits

Mental workload measurement has been a traditional and well-used method in human factors for over 50 years and continues to be highly relevant today. It has been applied to a variety of fields, including healthcare, though subjects have been clinicians rather than patients. Subjective mental workload measures are based on the assumptions that subjects can report self-functioning (i.e. persons with complete cognitive functioning). Thus, if subjective mental workload is applied to a population of persons with limited and / or dynamically changing cognitive functioning, then the basic assumptions of subjective mental workload are violated. This paper explores the considerations for incorporating subjective mental workload measurement tools into rehabilitative practices for cognitive deficits, such as traumatic brain injury and stroke patients.
On-going Cooperative Research towards Developing Economy-Oriented Chinese-French SMT Systems with a New SMT Framework

Re sume . Nous pre sentons un projet collaboratif en cours mene par l'universite de Grenoble et l'universite de Xiamen, et visant a cre er des instances d'un nouveau type de syste me de traduction automatique statistique utilisant des ressources lexico-se mantiques et discursives. Le but concret est de de velopper des syste mes de TAS chinois-franc ais pour des sites boursiers et e conomiques. Comme tre s peu de corpus et de dictionnaires bilingues chinois-franc ais sont disponibles sur Internet, l'anglais est utilise comme "pivot" pour construire les e quivalents chinois-franc ais par transitivite . Outre la description ge ne rale de ce projet, nous de crivons les progre s sur deux axes de recherche lie s a ce pr ojet. Pour cela, nous utilisons une me thode, propose e par XMU, d'induction de probabilite fonde e sur la similarite the matique, qui produit des tables de traduction C-F a partir de tables de traduction C-E et E-F. Pour disposer de bons corpus paralle les C-F, nous utilisons un syste me Web de post-e dition collaborative qui peut de clencher l'ame lioration incre mentale du syste me de TA en utilisant des me triques d'e valuation de TA et en extrayant la "meilleure partie" de la me moire de traductions courante.
Consuming wellness, producing difference: The case of a wellness center in India

Over the past decade, there has been a discernible rise in the number of wellness centers and fitness studios in urban cities in India. These centers are spatial manifestations of the rise in a particular type of “self-care” regimes and “body projects” in modern social imaginary prevalent in urban India, predominantly enabled by the rise of middle-class consumer culture. While the literature on fitness spaces and wellness clubs in Western contexts is instructive to a very large extent, the local particularities of consumption experiences in non-Western contexts require contextualized empirical research in order to better inform modern theories of consumption. This article is a study of a wellness center in the South Indian city of Chennai. Using ethnographic methods, I attempt to unpack the experience of consuming wellness in a space that ostensibly claims to remedy the ills of modern living while doing so in a culturally traditional and “Indian” manner. I show how the experiences of predominantly middle-class consumers here are dictated not by a sentimental attachment to tradition or locality, but by a vocabulary of speaking that primarily favors a language of consumer choice and rational decision-making. Whether or not that is the case, the way in which consumption of an “Indian” brand of wellness occurs demonstrates the stronghold of the language of consumer choice making the space at the wellness center a performative arena for self-identity formation to occur.
MicroRNA-26a promotes anoikis in human hepatocellular carcinoma cells by targeting alpha5 integrin

Metastasis is the major reason for the death of patients suffering from malignant diseases such as human hepatocellular carcinoma (HCC). Among the complex metastatic process, resistance to anoikis is one of the most important steps. Previous studies demonstrate that microRNA-26a (miR-26a) is an important tumor suppressor that inhibits the proliferation and invasion of HCC cells by targeting multiple oncogenic proteins. However, whether miR-26a can also influence anoikis has not been well established. Here, we discovered that miR-26a promotes anoikis of HCC cells both in vitro and in vivo. With a combinational analysis of bioinformatics and public clinical databases, we predicted that alpha5 integrin (ITGA5), an integrin family member, is a putative target of miR-26a. Furthermore, we provide experimental evidence to confirm that ITGA5 is a bona fide target of miR-26a. Through gain- and loss-of-function studies, we demonstrate that ITGA5 is a functional target of miR-26a-induced anoikis in HCC cells. Collectively, our findings reveal that miR-26a is a novel player during anoikis and a potential therapeutic target for the treatment of metastatic HCC.
The Development of the Sexual Assault Script Scale

This mixed methods study involved the qualitative development of and quantitative testing of the Sexual Assault Script Scale (SASS). In Study 1, 31 undergraduate women participated in semi-structured interviews that included qualitative questions about their expectations of a hypothetical sexual assault. Information from these interviews then was used to create items for the SASS. These items asked women to estimate the likelihood that specific contextual characteristics would be present during a hypothetical sexual assault. In Study 2, 500 undergraduate women completed the SASS. An exploratory factor analysis of the SASS resulted in a 40-item, four-factor solution. The subscales of the SASS were named Stereotypical/Severe Assault Beliefs, Acquaintance Assault Beliefs, Assault Resistance Beliefs, and Date/Friend Assault Beliefs. The association between the SASS subscales and measures tapping putative risk factors for sexual victimization (e.g., previous victimization history, sexual refusal assertiveness, alcohol use, number of consensual sexual partners, and attitudes about casual, impersonal sex) were examined. Regression analyses also were conducted to examine which risk measures uniquely predicted responses to the SASS subscales. More severe sexual victimization history predicted higher scores on the Stereotypical/Severe
A multi-RRTs framework for robot path planning in high-dimensional configuration space with narrow passages

Path planning for robots with many degrees of freedom (dof) receives continuous interest in both robotics and computer graphics communities. A variety of random sampling-based methods have been proposed to solve the path planning problems in high-dimensional configuration space, including Probabilistic Roadmap Method (PRM) and Rapidly-exploring Random Trees (RRTs). However, the efficiency will be dramatically decreased when plenty of narrow passages exist far away from initial and goal configurations. In this paper, a novel Multi-RRTs framework is presented to rapidly capture the connectivity of narrow passages formed by nearby obstacles. The algorithm improves a sampling algorithm called Bridge Test to find global important roadmaps that identify the critical regions, based on which a Multi-RRTs structure is constructed to incrementally explore unknown configuration space. Combined with global heuristics and local connection, the method is shown to be more effective, and experimental results demonstrate the validity of the method.
The usefulness of facilitating narrative career counselling with learner-athletes in a South African sport school

Psychologists can play an important role in supporting learner-athletes who opt to pursue dual careers by rendering services that are relevant to both the careers of learner-athletes. This study explored the usefulness of facilitating narrative career counselling with learner-athletes in a South African sport school as opposed to traditional career counselling, as the latter has shortcomings in addressing the needs of adolescents within a diverse South African context. Three participants from previously disadvantaged backgrounds were purposively selected for this study. Narrative career counselling by means of the Career Interest Profile (CIP) (Version 4) was used to facilitate the process. The usefulness of narrative career counselling was illustrated in meeting the career counselling goals of these learner-athletes. Furthermore, it was found that the CIP can deconstruct role engulfment, where either the learner-career or the athlete-career is accentuated at the cost of the other.
Resolving Local-Scale Emissions for Modeling Air Quality near Roadways

Abstract A large body of literature published in recent years suggests increased health risk due to exposure of people to air pollution in close proximity to roadways. As a result, there is a need to more accurately represent the spatial concentration gradients near roadways to develop mitigation strategies. In this paper, we present a practical, readily adaptable methodology, using a “bottom-up” approach to develop a detailed highway vehicle emission inventory that includes emissions for individual road links. This methodology also takes advantage of geographic information system (GIS) software to improve the spatial accuracy of the activity information obtained from a Travel Demand Model. In addition, we present an air quality modeling application of this methodology in New Haven, CT. This application uses a hybrid modeling approach, in which a regional grid-based model is used to characterize average local ambient concentrations, and a Gaussian dispersion model is used to provide texture within the modeling domain because of spatial gradients associated with highway vehicle emissions and other local sources. Modeling results show substantial heterogeneity of pollutant concentrations within the modeling domain and strong spatial gradients associated with roadways, particularly for pollutants dominated by direct emissions.
Surnames and social status in Spain

We study the information contained in surnames on the socioeconomic status of people in Spain. We find that people bearing uncommon surnames tend to enjoy a higher socioeconomic status than people bearing more common surnames. This bias is statistically very significant and robust to different measures of socioeconomic status, and it holds at the national aggregate level as well as at the regional level. The paper offers an explanation of a significant part of such bias as being generated by a signaling behavior by successful dynasties and a low degree of social mobility.
Focal Adhesion Kinase Silencing Augments Docetaxel-Mediated Apoptosis in Ovarian Cancer Cells

Objective: Docetaxel causes cell death through induction of apoptosis; however, cell death characteristics for docetaxel have not yet been fully elucidated. We examined the role of focal adhesion kinase (FAK) cleavage in docetaxel-mediated apoptosis. Methods: FAK degradation after treatment with docetaxel was determined in both taxane-sensitive (HeyA8 and SKOV3) and taxane-resistant (HeyA8-MDR and SKOV3-TR) ovarian cancer cell lines by Western blot analysis. Cell growth was determined with 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay. FAK-targeting small interfering RNA (siRNA) was used to decrease FAK expression. Apoptosis and caspase activity were determined using commercially available kits. Results: SKOV3 and HeyA8 cell lines were both sensitive to docetaxel (IC50 levels, 1-6.2 nmol/L), whereas the SKOV3-TR and HeyA8-MDR cells were resistant (IC50 ≥ 250 nmol/L for both). Docetaxel induced high rates of apoptosis in SKOV3 and HeyA8 cells (84% and 66% apoptosis, respectively) but minimal apoptosis (5-8%) in SKOV3-TR and HeyA8-MDR cells. Similarly, FAK was cleaved in SKOV3 and HeyA8 cells in response to docetaxel treatment but unchanged in the resistant cells. Caspase-3 and caspase-8 activity also increased significantly in docetaxel-treated SKOV3 and HeyA8 cells but not in the taxane-resistant cells. DEVD-fmk (caspase-3 blocker) was able to block both FAK cleavage and apoptosis mediated by docetaxel in SKOV3 and HeyA8 cells. FAK siRNA transfection resulted in 70% to 90% decrease in FAK levels in all cell lines within 72 hours. FAK silencing augmented docetaxel-mediated growth inhibition (5- to 8-fold increase) and apoptosis in both of the taxane-sensitive and taxane-resistant cell lines. Conclusions: Docetaxel induces FAK cleavage, mediated through activation of caspase-3, in taxane-sensitive ovarian cancer cells but not in taxane-resistant cells. The absence of FAK degradation may contribute to cell survival in taxane-resistant cells. FAK silencing promotes the in vitro efficacy of docetaxel in both taxane-sensitive and taxane-resistant cell lines and may serve as a novel therapeutic approach.
Whole Number, Distribution and Co-Expression of Brn3 Transcription Factors in Retinal Ganglion Cells of Adult Albino and Pigmented Rats

The three members of the Pou4f family of transcription factors: Pou4f1, Pou4f2, Pou4f3 (Brn3a, Brn3b and Brn3c, respectively) play, during development, essential roles in the differentiation and survival of sensory neurons. The purpose of this work is to study the expression of the three Brn3 factors in the albino and pigmented adult rat. Animals were divided into these groups: i) untouched; ii) fluorogold (FG) tracing from both superior colliculli; iii) FG-tracing from one superior colliculus; iv) intraorbital optic nerve transection or crush. All retinas were dissected as flat-mounts and subjected to single, double or triple immunohistofluorescence The total number of FG-traced, Brn3a, Brn3b, Brn3c or Brn3 expressing RGCs was automatically quantified and their spatial distribution assessed using specific routines. Brn3 factors were studied in the general RGC population, and in the intrinsically photosensitive (ip-RGCs) and ipsilateral RGC sub-populations. Our results show that: i) 70% of RGCs co- express two or three Brn3s and the remaining 30% express only Brn3a (26%) or Brn3b; ii) the most abundant Brn3 member is Brn3a followed by Brn3b and finally Brn3c; iii) Brn3 a-, b- or c- expressing RGCs are similarly distributed in the retina; iv) The vast majority of ip-RGCs do not express Brn3; v) The main difference between both rat strains was found in the population of ipsilateral-RGCs, which accounts for 4.2% and 2.5% of the total RGC population in the pigmented and albino strain, respectively. However, more ipsilateral-RGCs express Brn3 factors in the albino than in the pigmented rat; vi) RGCs that express only Brn3b and RGCs that co-express the three Brn3 members have the biggest nuclei; vii) After axonal injury the level of Brn3a expression in the surviving RGCs decreases compared to control retinas. Finally, this work strengthens the validity of Brn3a as a marker to identify and quantify rat RGCs.