Miracle-dz/UniFAR-FTUs huggingface dataset:
The Process-Dissociation Procedure and Similarity: Defining and Estimating Recollection and Familiarity in Recognition Memory

In this article, we have two objectives. One aim is to demonstrate that estimates of the contributions of recollection and familiarity to recognition memory judgments obtained with Jacoby's (1991) two-study-list processdissociation (PD) procedure are dramatically affected by the discriminability of the two study lists. Our more grand, theoretical aim is to argue that rather than being viewed as evidence of measurement error in the two-study-list PD procedure, our findings can be interpreted as support for a functionalist approach to recognition memory. The proposed approach combines aspects of dual-process theories (Jacoby & Dallas, 1981; Mandler, 1980) with aspects of global memory models (Gillund & Shiffiin, 1984; Murdock, 1982) and, more generally, with theories in which memory for an event consists of multiple records of the component processes that gave rise to and constituted the experience of that event (e.g., the multiple-entry, modular memory system [MEM] model of Johnson, 1983, 1990, 1992, or the transfer-appropriate processing approach articulated by Roe
Player Character Engagement in Computer Games

This article argues how players can control a player character influence interpretation and facilitate engagement within a game. Engagement with player characters can be goal-related or empathic, where goal-related engagement depends on affects elicited by goal-status evaluations whereas characters facilitate empathic engagement. The concepts of recognition, alignment, and allegiance are used to describe how engagement is structured in games. Recognition describes aspects of character interpretation. Alignment describes what kind of access players have to a character’s actions, knowledge, and affects. Allegiance describes how characters elicit sympathy or antipathy through positive or negative evaluation of the character.
Serum IGFBP-2 and Risk of Atypical Hyperplasia of the Breast

Atypical hyperplasia of the breast (AH) is associated with increased risk of subsequent invasive breast cancer, yet little is known about the etiology of AH. Insulin-like growth factor binding protein 2 (IGFBP-2) may contribute to the development of AH due to its proliferative effects on mammary tissue. We conducted a nested case-control study of postmenopausal women enrolled in Women's Health Initiative-Clinical Trial. Cases were 275 women who developed incident AH during follow-up, individually (1 : 1) matched to controls. Levels of IGFBP-2 were determined from fasting serum collected at baseline. Multivariable conditional logistic regression models were used to estimate odds ratios for the association of IGFBP-2 with risk of AH. Serum IGFBP-2 was associated with a nonsignificant decrease in risk for AH, when comparing the highest quartile to lowest quartile (OR = 0.65; 95% CI = 0.32–1.31). This decrease in risk was most evident when analyses were restricted to nondiabetic, nonusers of hormone therapy (OR = 0.33, 95% CI = 0.13–0.86, p trend = 0.06) and nondiabetic women who were overweight or obese (OR = 0.43, 95% CI = 0.18–1.03, p trend = 0.05). Results from this study provide some support for an inverse association between serum IGFBP2 levels and risk of AH, particularly in nondiabetic women who are overweight or obese. Further studies are required to confirm these results.
Human movement tracking and analysis with Kalman filtering and global optimization techniques

This paper addresses the problem of tracking feature points along image sequences to analyze the undergoing human movement. An approach based on Kalman filtering performs the estimation and correction of the feature point’s movement in every image frame, and optimizes the incorporation of the measured data in order to establish the best global correspondence. We propose a criterion to establish correspondences between the group of estimates in each image and the new data to include, using an optimization criterion that minimizes the global matching cost based on the Mahalanobis distance. With this solution, we are also able to deal with the occlusion and appearance of feature points along with the movement tracking. In this paper we present experimental results obtained on real human tracking images that validate our approach. Raquel R. Pinho, Joao M. R. S. Tavares and Miguel V. Correia
The moderating role of parental psychopathology on response to a family-based HIV prevention intervention among youth in psychiatric treatment

Previous research suggests parents with mental health concerns are more likely to engage in maladaptive parenting practices and are less likely to benefit from parenting interventions. The current study examined the moderating influence of parent mental health problems on response to a family HIV prevention program delivered to youth in mental health treatment and their caregivers. The family intervention targeted parent-adolescent communication and parental monitoring. Study hypotheses were tested using general linear models at three- and six-month follow-ups. Tests of moderation were conducted by modeling the interaction between treatment condition (family versus control) and parental psychopathology controlling for other relevant psychosocial factors (i.e., single parenthood, income, and education). Parents with elevated psychiatric symptoms demonstrated greater improvements in sexual communication (three and six months) and parental monitoring (three months) following the family-based intervention. These results suggest that parents with mental health problems can benefit from a brief family HIV prevention program.
Desiree - a Refinement Calculus for Requirements Engineering

The requirements elicited from stakeholders suffer from various afflictions, including informality, incompleteness, ambiguity, vagueness, inconsistencies, and more. It is the task of requirements engineering (RE) processes to derive from these an eligible (formal, complete enough, unambiguous, consistent, measurable, satisfiable, modifiable and traceable) requirements specification that truly captures stakeholder needs. We propose Desiree, a refinement calculus for systematically transforming stakeholder requirements into an eligible specification. The core of the calculus is a rich set of requirements operators that iteratively transform stakeholder requirements by strengthening or weakening them, thereby reducing incompleteness, removing ambiguities and vagueness, eliminating unattainability and conflicts, turning them into an eligible specification. The framework also includes an ontology for modeling and classifying requirements, a description-based language for representing requirements, as well as a systematic method for applying the concepts and operators in order to engineer an eligible specification from stakeholder requirements. In addition, we define the semantics of the requirements concepts and operators, and develop a graphical modeling tool in support of the entire framework. To evaluate our proposal, we have conducted a series of empirical evaluations, including an ontology evaluation by classifying a large public requirements set, a language evaluation by rewriting the large set of requirements using our description-based syntax, a method evaluation through a realistic case study, and an evaluation of the entire framework through three controlled experiments. The results of our evaluations show that our ontology, language, and method are adequate in capturing requirements in practice, and offer strong evidence that with sufficient training, our framework indeed helps people conduct more effective requirements engineering.
Multi-Aspect Rating Inference with Aspect-Based Segmentation

This paper explores the problem of content-based rating inference from online opinion-based texts, which often expresses differing opinions on multiple aspects. To sufficiently capture information from various aspects, we propose an aspect-based segmentation algorithm to first segment a user review into multiple single-aspect textual parts, and an aspect-augmentation approach to generate the aspect-specific feature vector of each aspect for aspect-based rating inference. To tackle the problem of inconsistent rating annotation, we present a tolerance-based criterion to optimize training sample selection for parameter updating during the model training process. Finally, we present a collaborative rating inference model which explores meaningful correlations between ratings across a set of aspects of user opinions for multi-aspect rating inference. We compared our proposed methods with several other approaches, and experiments on real Chinese restaurant reviews demonstrated that our approaches achieve significant improvements over others.
Unravelling daily human mobility motifs

Human mobility is differentiated by time scales. While the mechanism for long time scales has been studied, the underlying mechanism on the daily scale is still unrevealed. Here, we uncover the mechanism responsible for the daily mobility patterns by analysing the temporal and spatial trajectories of thousands of persons as individual networks. Using the concept of motifs from network theory, we find only 17 unique networks are present in daily mobility and they follow simple rules. These networks, called here motifs, are sufficient to capture up to 90 per cent of the population in surveys and mobile phone datasets for different countries. Each individual exhibits a characteristic motif, which seems to be stable over several months. Consequently, daily human mobility can be reproduced by an analytically tractable framework for Markov chains by modelling periods of high-frequency trips followed by periods of lower activity as the key ingredient.
Sorafenib plus hepatic arterial infusion chemotherapy with cisplatin versus sorafenib for advanced hepatocellular carcinoma: randomized phase II trial

In a randomized phase II study of sorafenib plus hepatic arterial infusion chemotherapy with cisplatin in comparison with sorafenib alone in patients with advanced hepatocellular carcinoma, it yielded favorable overall survival when compared with sorafenib alone. This is the first report of its effectiveness in relation to the overall survival in comparison with that of sorafenib alone in patients with advanced hepatocellular carcinoma.
Leaders of Sustainable Development Projects: Resources Used and Lessons Learned in a Context of Environmental Education?

In our day, leaders involved in ingenious sustainable development projects plan spaces and implement practices that are beneficial to the environment. These initiatives represent a fertile source of information on the competences linked to environmental design that we should nurture in our students. In view of improving our understanding of the competences that should be developed in environmental education (EE), this study sought to identify the competences used by leaders who participated in five sustainable development projects (in sustainable urban planning and forestry). The analysis of documents and data from individual interviews revealed that the main competences (cognitive, social and affective) used by the leaders interviewed, depended on creative, complex, flexible, longitudinal, adapted, patient, collaborative, humanistic and environmental planning. Finally, this study, of which we present the effects on EE, shows that leaders use competences which are associated with creative individuals.
Implications of growth

Restorative justice has been growing around the world in terms of its implementation, often allied to criminal justice. Its growth and increasing mainstreaming, however, reignite theoretical and practical debates current some 20 years ago but none the less valid now. They include the effects of increasing closeness to the state and to justice definitions of crime, as well as tensions for mediators and facilitators. Particularly, there is a need to draw together the common values and aims in the use of restorative justice for an increasing diversity of offences, including more serious offences and its use with adult offenders. We cannot turn back the clock, and it would be curmudgeonly to try to hold back the availability of restorative justice for victims and offenders who appreciate it and find it helpful. However, we can, and should, continue to reflect upon how the core values of restorative justice can be used to develop what are the most helpful theoretical perspectives for restorative justice for scenarios where it is not only to be used for the minority, or for diverted cases, but also leads to criminal justice decisions, such as sentences, which will be confirmed or altered by criminal justice actors.
Computerized dynamic assessment (C-DA): Diagnosing L2 development according to learner responsiveness to mediation

Dynamic assessment (DA) derives from the sociocultural theory of mind as elaborated by Russian psychologist L. S. Vygotsky. By offering mediation when individuals experience difficulties and carefully tracing their responsiveness, Vygotsky (1998) proposed that diagnoses may uncover abilities that have fully formed as well as those still in the process of developing. This insight has led to numerous assessments, collectively referred to as DA, that have been pursued primarily in the domains of special education and general cognitive abilities measurement (Feuerstein, Feuerstein, & Falik, 2010; Haywood & Lidz, 2007). To date, L2 DA work has been primarily conducted in classroom settings (Ableeva, 2010; Lantolf & Poehner, 2011; Poehner, 2007, 2008). This paper discusses a recent project concerning the design of online multiple-choice tests of L2 reading and listening comprehension that leverage the principle that mediation is indispensable for diagnosing development. Specifically, each test item is accompanied by a set of prompts graduated from implicit to explicit. In this way, resultant diagnoses include not only whether learners answered correctly (their actual score) but also the amount of support they required (mediated score) during the test. We argue that the set of scores automatically generated by the tests, together with a breakdown of learner performance on items targeting particular component features of comprehension, provide a fine-grained diagnosis of their L2 development while also offering information relevant to subsequent teaching and learning.
Predicting Recidivism Following Participation in a Treatment Program for Batterers

Abstract This study examined recidivism rates for 197 batterers who participated in a state-sponsored domestic violence treatment program. The primary objective of the study was to identify factors associated with post-intervention recidivism. Significant factors identified through bivariate analyses were analyzed through logistic regression for the purpose of developing predictive models. Bivariate analyses identified 10 factors associated with post-intervention recidivism. Of these factors, logistic regression identified four factors that were predictive of recidivism. These four factorspsychopathology (personality disorders), psychiatric history, substance abuse, and child abuse in family of origin—were able to predict 84% of all outcomes and 97% and 28% of abstainers and reoffenders, respectively. The data suggest that batterer characteristics, particularly batterer pathology and substance abuse, are more influential determinants of recidivism than systemic and programmatic factors. These findings are discussed with respect to their implications for policy, practice, and future research.
Nursing assessment for risk of homicide with battered women

The Danger Assessment is a clinical and research instrument that has been designed to help battered women assess their danger of homicide. Completing the Danger Assessment with a nurse is conceptualized as a means of increasing the self-care agency of battered women, according to Orem's nursing conceptual framework. The instrument was used in a study of 79 battered women. Results of this study, which give initial support for the reliability and validity of the Danger Assessment, are reported. The instrument is available from the author on request.
Optimal time segmentation for overlap-add systems with variable amount of window overlap

In this letter, we propose a new best basis search algorithm for computing the optimal time segmentation of a signal, given a predefined cost measure. The new algorithm solves a problem that arises when the individual signal segments are windowed and overlap-add is applied between adjacent signal segments. When windows having a variable tail shape are employed, the minimization of a cost measure is faced with dependencies between segmental costs due to varying window overlap. A dynamic programming-based algorithm is presented that takes into account these dependencies. It computes both the optimal split positions and the optimal amount of window overlap at these split positions in polynomial time. The proposed algorithm gives an upper bound to the achievable performance of existing algorithms. Experimental results for a modified discrete cosine transform-based processing system are presented, both for entropy and rate-distortion cost measures. These results show a performance gain over existing schemes at the cost of an increased computational complexity.
The Strength of the Partisan Component of Left-Right Identity

This article examines left-right party polarization among the mass publics in a longitudinal comparative perspective. The analysis comprises eight countries - Belgium, Britain, Denmark, France, Germany, Ireland, Italy and the Netherlands - and trends are analysed from the early 1970s to the early 1990s. The strength of the relationship between party choice and left-right self-placement is analysed by three different measures: a standardized measure and two alternative unstandardized measures. The standardized measure produces a high degree of stability in the strength of the partisan component, while the unstandardized measures show that the partisan component has declined. The analysis shows that party voters locate themselves, quite consistently, more centrist. It is the changing left-right location of voters for the larger established parties in the party system that accounts for most of the change in the partisan component. The centrist tendency is particularly large for voters of the larger established parties in Belgium, France, Italy and the Netherlands.
Changing work environments: Innovative coping responses to occupational stress.

Abstract To what degree do individuals adapt their work environments in response to occupational stress? The research reported below addresses this question through a qualitative questionnaire survey that assesses the extent to which innovation is used as a stress coping strategy amongst health care professionals (community and hospital nurses, administration workers and paramedics; N = 333). Overall, 32% of these workers reported a coping response subsequently coded as innovative, and significant between-occupational group differences in the frequency of usage were found. Overwork, procedural difficulties and dealing with others were the stressors eliciting the greatest number of innovative coping responses. The study indicated that such responses were perceived as an effective and important way of dealing with occupational stress. It is concluded that stress management programmes that encourage individuals to change workplace factors through innovation, would be a worthwhile addition to interventions th.
Play-based Occupational Therapy

In this paper, we will provide an overview of how occupational therapists view play, illustrate how occupational therapists' view of play has evolved, generating a shift in focus for intervention, introduce a model of play as occupation to illustrate how children's ability to play may be influenced by developmental disabilities, outline occupational therapy assessment and treatment using play as the basis for intervention, and finally, identify aspects of best practice. The term developmental disabilities refers to a heterogeneous group of disorders. It is not within the scope of this paper to provide detailed discussion of play-based occupational therapy intervention for all the children who comprise this group. Therefore, we have chosen to illustrate various points made with examples of different types of children with various types of disability.
Efficient search in peer to peer networks

Peer-to-peer systems have emerged as a popular way to share huge volumes of data. The usability of these systems depends on effective techniques to find and retrieve data; however, current techniques used in existing P2P systems are often very inefficient. In this paper, we present three techniques for efficient search in P2P systems. We present the design of these techniques, and then evaluate them using a combination of experiments over Gnutella, the largest open P2P system in operation, and analysis. We show that while our techniques maintain the same quality of results as currently used techniques, our techniques use up to 5 times fewer resources. In addition, we designed our techniques to be simple in design and implementation, so that they can be easily incorporated into existing systems for immediate impact.
Deoxycorticosterone Acetate/Salt–Induced Cardiac But Not Renal Injury Is Mediated By Endothelial Mineralocorticoid Receptors Independently From Blood Pressure

Chronic kidney disease has a tremendously increasing prevalence and requires novel therapeutic approaches. Mineralocorticoid receptor (MR) antagonists have proven highly beneficial in the therapy of cardiac disease. The cellular and molecular events leading to cardiac inflammation and remodeling are proposed to be similar to those mediating renal injury. Thus, this study was designed to evaluate and directly compare the effect of MR deletion in endothelial cells on cardiac and renal injury in a model of deoxycorticosterone acetate–induced hypertension. Endothelial MR deletion ameliorated deoxycorticosterone acetate/salt–induced cardiac remodeling. This was associated with a reduced expression of the vascular cell adhesion molecule Vcam1 in MR-deficient cardiac endothelial cells. Ambulatory blood pressure telemetry revealed that the protective effect of MR deletion was independent from blood pressure. Similar to the heart, deoxycorticosterone acetate/salt–induced severe renal injury, including inflammation, fibrosis, glomerular injury, and proteinuria. However, no differences in renal injury were observed between genotypes. In conclusion, MR deletion from endothelial cells ameliorated deoxycorticosterone acetate/salt–induced cardiac inflammation and remodeling independently from alterations in blood pressure but it did not affect renal injury. These findings suggest that the anti-inflammatory mechanism mediating organ protection after endothelial cell MR deletion is specific for the heart versus the kidney.
Sexing up the city in the international beauty contest: the performative nature of spatial planning and the fictive spectacle of place branding

This paper responds to recent calls for more academic research and critical discussion on the relationship between spatial planning and city branding. Through the lens of Liverpool, the article analyses how key planning projects have delivered major transformations in the city's built environment and cultural landscape. More specifically, in concentrating on the performative nature of spatial planning it reveals the physical, symbolic and discursive re-imaging of Liverpool into a ‘world class city’. Another aspect of the paper presents important socioeconomic datasets and offers a critical reading of the re-branding in showing how it presents an inaccurate representation of Liverpool. The evidence provided indicates that a more accurate label for Liverpool is a polarised and divided city, thereby questioning the fictive spectacle of city branding. Finally, the paper ends with some critical commentary on the role of spatial planning as an accessory to the sophistry of city branding.