Miracle-dz/UniFAR-FTUs huggingface dataset:
Personality as a Mediator Between Objective Events and Their Subjective Representation

other negative and alarming emotions such as rage, shame, or guilt. The events are then major subjective strains or stressors. If we ignore state-by-state variations in our studies we may find only washed-out effects. Yet, on the other hand, it is methodologically difficult to take state theory and personality factors such as person-schematic repertoires into account. The assumption that personality is a stable entity rather than a dynamic repertoire of schemas makes for simpler designs, simpler measures, and epidemiological approaches at low cost. If, however, we see the slowly changing nature of schemas as important additions to theories of cognition and emotion after stressor events such as bereavement, then we will have to do intensive, longitudinal studies of a few individuals using repeated measures and qualitative as well as quantitative analyses of the interaction of many variables. Can we develop a relational theory of stressevoked emotions with anything less than this kind of effort? I think not. In this approach to research we need to form new theory about mediating variables such as control processes. Conscious and unconscious processes of appraisal of stressor events lead also to conscious and unconscious processes of control of ideas and emotions. Better theory about such control processes may well lead us to revise and integrate existing postulates about defense mechanisms and coping strategies. Integration in this domain would point toward a general (rather than "brand name") psychology of cognition, emotion, and relationship schemas. Such improved theory could help us better help those who might otherwise succumb to threat-I am in complete agreement with Professor Lazarus's call for a new look at our theory and methods.
Bridging the Gap: A School Based Staff Development Model that Bridges the Gap from Research to Practice

Previous research suggests that without on going support teachers do not successfully implement instructional strategies learned during inservice training. The purpose of this study was to evaluate the effectiveness of the Research Lead Teacher model in providing support to general education teachers who were learning and implementing a strategy instruction process in their classrooms. Participants included 18, K-5 general education teachers. The Benchmark School's 15-step process of strategy instruction was delivered under two conditions. The first was a traditional $$ day inservice and the 2nd was the $$ day traditional inservice plus the RLT model which included an ongoing teacher study group, coaching, observation, and data based feedback. The design was a time series experiment with an intervention and a control group. The findings of this study suggest that a comprehensive school based staff development model such as the RLT model will assist general education teachers in fully implementing a strategy instruction process learned in a traditional inservice.
‘Thy Brother’s Keeper’: Witnessing as a Moral Presence in Group Analysis and Beyond. A Response to Farhad Dalal’s Foulkes Lecture

This article argues that witnessing is a stance of ‘being there’ as a lived, mindful presence that defines one’s human capacity to create a bond of mutual concern with an ‘other’. It is a vital constituent in the process of therapy and beyond. Witnessing is a commitment to acknowledge ‘real reality’ as well as one’s subjectivity; it is an essential part of mutual recognition, since it involves one’s responsibility to tell the truth and a readiness to face it; as such, witnessing is inherently moral. This article emphasizes the idea that witnessing is a matter of personal choice. The decision to speak out and ‘tell it’ in the group arena has a redeeming quality; it can break up the deadening silence of isolation, loneliness and suffering caused by wounding relationships.
Dynamic relationships between stress states and working memory

This study examined relationships between working memory and subjective states on four successive occasions. Participants (n=112) performed a task requiring concurrent mental arithmetic and ordered recall of single words under increasing levels of time pressure. Subjective state was measured with the Dundee Stress State Questionnaire (Matthews et al., 2002), before and after performance on each occasion. Findings suggested reciprocal influences of state and working memory. Performance elicited state changes including increased task engagement and distress. However, state-change patterns themselves changed across days of testing, suggesting progressive adaptation to the task environment. State dimensions including lower distress and higher task engagement correlated with working memory. Structural equation modelling suggested a stable influence of states on performance across days. The dynamic interdependence of states and performance is discussed in relation to the transactional model of stress and emotion.
Towards global market-driven software development processes: an industrial case study

Market orientation can be shortly defined as gathering, sharing, and using information about "the market" in order to make decisions. Even though existing literature of market orientation stresses the necessity of having all organizational functions participating in establishing market-driven culture, the number of studies taking the perspective of software product development has remained small. This paper presents a study of a software development company that has been motivated to become more attentive towards market information. Due to the lack of established theories of market-driven software development processes, exploratory and inductive research methods were used to explore the phenomenon of market-driven software development. Based on the gathered data, we identified the elements of market orientation in the case company and pointed out two focus areas to concentrate on when implementing the organizational transformation towards market orientation. Finally, the results of this study were reflected to existing market orientation literature and a conclusion was made that Requirement Management processes need to be developed further in order to support the management of market needs. Moreover, it was concluded that increasingly diverse skills will be needed from Software Engineers in transformation towards market-driven software development processes.
Lighting invariant urban street classification

In this paper we propose the hybrid use of illuminant invariant and RGB images to perform image classification of urban scenes despite challenging variation in lighting conditions. Coping with lighting change (and the shadows thereby invoked) is a non-negotiable requirement for long term autonomy using vision. One aspect of this is the ability to reliably classify scene components in the presence of marked and often sudden changes in lighting. This is the focus of this paper. Posed with the task of classifying all parts in a scene from a full colour image, we propose that lighting invariant transforms can reduce the variability of the scene, resulting in a more reliable classification. We leverage the ideas of “data transfer” for classification, beginning with full colour images for obtaining candidate scene-level matches using global image descriptors. This is commonly followed by superpixellevel matching with local features. However, we show that if the RGB images are subjected to an illuminant invariant transform before computing the superpixel-level features, classification is significantly more robust to scene illumination effects. The approach is evaluated using three datasets. The first being our own dataset and the second being the KITTI dataset using manually generated ground truth for quantitative analysis. We qualitatively evaluate the method on a third custom dataset over a 750m trajectory.
Molecular predictors for anaemia after kidney transplantation.

BACKGROUND Anaemia of chronic kidney disease is a well-studied comorbidity, but the molecular predictors of post-transplant anaemia remain elusive. METHODS In this case-control study, 25 subjects with post-transplant anaemia, defined as erythropoiesis-stimulating agent (ESA) requirement within the first post-transplant year, were matched to 25 control recipients with comparable demographics but no anaemia using the Austrian Dialysis and Transplant Registry. Genome-wide gene expression analyses of deceased donor kidney biopsies obtained immediately before engraftment were performed using custom cDNA microarrays. Significant molecular features were included together with clinical variables in a multivariable logistic regression analysis and further analysed with respect to their molecular functions, biological processes and cellular locations using gene ontology terms and protein-protein interactions. RESULTS Immunity response molecules were over-represented in the up-regulated gene list suggesting the involvement of the inflammation cascade as a predictor of ESA requirement after engraftment. From the initial list of the 34 differentially expressed genes, we identified the best three genes predicting ESA requirement in the first year by a stepwise gene selection algorithm. SPRR2C (OR = 0.24, 95% CI 0.07-0.85, P = 0.027) and GSTT1 (OR = 2.40, 95% CI 1.21-4.77, P = 0.013) remained significant after adjusting for donor age, eGFR, BCAR and CRP. CONCLUSION In summary, we identified three biomarkers (SPRR2C, B3GALTL and GSTT1) of post-transplant anaemia in donor kidney biopsies that correctly predicted ESA requirement within the first year after transplantation in 93% of the cases.
Division or unification in Cyprus? The role of demographics, attitudes and party inclination on Greek Cypriot preferences for a solution to the Cyprus problem

Abstract In April 2004 the Greek Cypriots rejected the Annan Plan in a referendum while the Turkish Cypriots accepted it. The Annan Plan was the UN's plan to reunite Cyprus into one federal state consisting of two equal constituent states, one Greek Cypriot and one Turkish Cypriot. The results of the referendum show that the Greek Cypriot electorate is a major stumbling block to accepting the UN's best offer for a solution to the Cyprus problem. In this article the Greek Cypriots' preferences for the structure of a solution are explored via an econometric analysis of recent public opinion survey data. The analysis finds that preferences for a solution among Greek Cypriots are a function of age and attitudes toward coexisting with Turkish Cypriots. The younger Greek Cypriots show a preference for separation of the two ethnicities, while those who are more optimistic regarding the ability of the two ethnicities to coexist show a preference for unification of the island.
Towards cultural proficiency in South African secondary schools: Ethnodrama as educational tool

Abstract Approaches to school desegregation in South Africa have been largely assimilationist in nature. The increasing cultural diversity in many schools requires the development of cultural competency among students so as to move towards a school environment that is free of racism and other forms of discrimination. This paper reports on an arts-based inquiry in three multicultural secondary schools which explored the use of ethnodrama in this regard. The ‘raw’ data obtained from drama students through interviews, journaling, improvisational role play and Forum Theatre performances provided the material for both the authoring and the performance of an ethnodrama by the selected students, followed by post-performance audience discussion. The findings suggest that ethnodrama can create a safe space for the exploration of some aspects of intercultural relationships. Participants used ethnodrama to confront the influence of the family and the history of segregation on the formation of an identity, complicate.
Professional development as transformational learning

This article presents an analytical description of the annual Educational Leadership Development Conference held at St Peter's College, Oxford University, UK. The venue, participants, programme goals, activity structure, and learning processes are described. For analysis, concepts draw primarily from the literature in adult learning, andragogy, and transformational learning. Cranton's process model is used as the analytical framework. Enriching the analysis are the voices of the participants as recorded in the annual Conference monographs. The article concludes with a set of suggestions for leaders who wish to engage in emancipatory education.
Technical standards for digital electroencephalogram recording in epilepsy practice

With the advent of digital technology in the recording of the electroencephalogram (EEG) in the last decade, analogue paper-EEG machines have all but disappeared. While there are several advantages of digital EEG over its analog counterpart, like being paperless and therefore easy to store and the ability to change montages and filter settings during review, there is wide disparity in the standards of EEG recording, display and reporting in laboratories across the country. Colorful brain maps conveying little meaning are usually appended to reports. This article reviews the minimum standards that must be observed for recording digital EEG as recommended by the International Federation of Clinical Neurophysiology (IFCN) and illustrates the importance of use of appropriate derivations, montages, filters and gains during recording and review of digital EEG in the context of evaluation of patients with suspected epilepsy.
Cooperative Activities in the Classroom

Cooperation is an important part of group life. Its benefits range from the autotelic quality of working along with others on a shared task to its perceived function as the cornerstone of modern democracy. In the classroom, cooperation is both a skill necessary for the accomplishment of learning activities and a general norm to be learned. However, the average classroom in the United States (and probably elsewhere) exposes students to instructional activities and evaluation systems that foster their dependence on the teacher, restrict productive interactions among students, and enhance divisive status distinctions among peers. Despite the concern of some educators, teacherdirected and whole-class activities persist in schools. The cooperative learning methods movement has been an attempt to rectify this situation. During the last 15 years, several important cooperative learning techniques have been developed and tested, and hundreds of accompanying studies have sought to document the value of one or another cooperative learning approach over "traditional" instruction. In general, the research has successfully demonstrated that student achievement is at least as high, and often higher, in cooperative learning activities as in traditional classrooms. At the same time, cooperative learning methods seem to promote positive interpersonal relations, motivation to learn, and self-esteem among students. Recent meta-analyses suggest that the benefits of cooperative learning activities hold for students at all age levels, for all subject areas, and for a wide range of tasks, such as those involving rote-decoding, retention, and memory skills, as well as problem-solving ability (Johnson, Johnson, & Maruyama, 1983; Johnson, Maruyama, Johnson, Nelson, & Skon, 1981; Slavin, 1983).
The Roles of Politeness and Humor in the Asymmetry of Affect in Verbal Irony

Four experiments were conducted to assess the roles of politeness and humor in the asymmetry of affect observed in verbal irony production. In Experiments 1 and 2, participants rated different replies (ironic, literal, or "no response") made to hypothetical scenarios for their politeness and humor, respectively. Participants in Experiment 3 were given the response options rated in the 2 previous experiments and were asked which response they would be most likely to make in each situation. Experiment 4 was a replication of Experiment 3 with the no-response option removed. Results indicated that humor, but not politeness, was a significant factor in a speaker's decision to use verbal irony. These results raise some important questions for existing theories concerned with the roles of politeness and humor in the production of irony.
A Security Framework for Cloud-Based Web Crawling System

In the face of large amounts of complicated web information, a professional and individualized web crawling system is required for users to acquire information effectively. In this context, a cloud-based web crawling system is proposed, which can improve the efficiency of application development and reduce its maintenance costs. However, it also poses security risks for application developers. To address the problem of security and privacy protection in a cloud based web crawling system, this paper proposes a framework based on the SSL connection and simHash to ensure the security of storage and transmission. Moreover, a case study demonstrates the effectiveness and efficiency of the security framework.
Evolution of Optimal ANNs for Non-Linear Control Problems using Cartesian Genetic Programming

A method for evolving artificial neural networks using Cartesian Genetic Programming (CGPANN) is proposed. The CGPANN technique encodes the neural network attributes namely weights, topology and functions and then evolves them. The performance of the algorithm is evaluated on the well known benchmark problem of double pole balancing, a nonlinear control problem. The phenotype of CGP is transformed into ANN and tested under various conditions in the task environment. Results demonstrate that CGPANN has the ability to generalize neural architecture and parameters in substantially fewer number of evaluations in comparison to earlier neuroevolutionary techniques. We have also tested the CGPANN for generalization with different initial states (not encountered during evolution) over a range of evolved genotypes and obtained good results.
Hydrology of a Water‐Limited Forest under Climate Change Scenarios: The Case of the Caatinga Biome, Brazil

Given the strong interactions between climate and vegetation, climate change effects on natural and agricultural ecosystems are common objects of research. Reduced water availability is predicted to take place across large regions of the globe, including Northeastern Brazil. The Caatinga, a complex tropical water‐limited ecosystem and the only exclusively Brazilian biome, prevails as the main natural forest of this region. The aim of this study was to examine the soil‐water balance for this biome under a climate‐warming scenario and with reduced rainfall. Climate change projections were assessed from regional circulation models earlier applied to the Brazilian territory. A statistical climate data generator was used to compose a synthetic weather dataset, which was later integrated into a hydrological model. Compared to simulations with current climate for the same site, under the scenario with climate change, transpiration was enhanced by 36%, and soilwater evaporation and interception were reduced by 16% and 34%, respectively. The greatest change in soil‐water components was observed for deep drainage, accounting only for 2% of the annual rainfall. Soil‐plant‐atmosphere fluxes seem to be controlled by the top layer (0.0-0.2 m), which provides 80% of the total transpiration, suggesting that the Caatinga forest may become completely soil‐water pulse dominated under scenarios of reduced water availability.
Constructing longitudinal disease progression curves using sparse, short‐term individual data with an application to Alzheimer's disease

In epidemiology, cohort studies utilised to monitor and assess disease status and progression often result in short‐term and sparse follow‐up data. Thus, gaining an understanding of the full‐term disease pathogenesis can be difficult, requiring shorter‐term data from many individuals to be collated. We investigate and evaluate methods to construct and quantify the underlying long‐term longitudinal trajectories for disease markers using short‐term follow‐up data, specifically applied to Alzheimer's disease. We generate individuals' follow‐up data to investigate approaches to this problem adopting a four‐step modelling approach that (i) determines individual slopes and anchor points for their short‐term trajectory, (ii) fits polynomials to these slopes and anchor points, (iii) integrates the reciprocated polynomials and (iv) inverts the resulting curve providing an estimate of the underlying longitudinal trajectory. To alleviate the potential problem of roots of polynomials falling into the region over which we integrate, we propose the use of non‐negative polynomials in Step 2. We demonstrate that our approach can construct underlying sigmoidal trajectories from individuals' sparse, short‐term follow‐up data. Furthermore, to determine an optimal methodology, we consider variations to our modelling approach including contrasting linear mixed effects regression to linear regression in Step 1 and investigating different orders of polynomials in Step 2. Cubic order polynomials provided more accurate results, and there were negligible differences between regression methodologies. We use bootstrap confidence intervals to quantify the variability in our estimates of the underlying longitudinal trajectory and apply these methods to data from the Alzheimer's Disease Neuroimaging Initiative to demonstrate their practical use. Copyright © 2017 John Wiley & Sons, Ltd.
Maximizing Multiprocessor Performance with the SUIF Compiler

This article describes automatic parallelization techniques in the SUIF (Stanford University Intermediate Format) compiler that result in good multiprocessor performance for array-based numerical programs. Parallelizing compilers for multiprocessors face many hurdles. However, SUIF's robust analysis and memory optimization techniques enabled speedups on three fourths of the NAS and SPECfp95 benchmark programs.