Miracle-dz/UniFAR-FTUs huggingface dataset:
Validade Convergente do Tipo de Vivência ( eb) no Teste de Zulliger/ sC

The Z-test was adapted for the Comprehensive System in a Brazilian sample, although the Comprehensive was developed by Eexner for encoding and interpretation of the Rorschach method. Dewing the similarities among both techniques it was supposed that the Zulliger can receive the same treatment that the Rorschach received. This study aims to verify the validity evidences for the EBeb style in the Zulliger, analyzing the correlations with the on the Rorschach. 51 protocols were selected from a data base, both genders and different education and social level. Participants did the Rorschach and the Zulliger in consecutive days, alternating the sequence of tests. Some correlations were significant but the results indicated the need to establish new proportions of the variables that constitute the EB to the Z-test.
Lack of Association between Membrane-Type 1 Matrix Metalloproteinase Expression and Clinically Relevant Molecular or Morphologic Tumor Characteristics at the Leading Edge of Invasive Colorectal Carcinoma

Colorectal cancer (CRC) is one of the leading causes of death from cancer in the western world, but tumor biology and clinical course show great interindividual variation. Molecular and morphologic tumor characteristics, such as KRAS/BRAF mutation status, mismatch repair (MMR) protein expression, tumor growth pattern, and tumor cell budding, have been shown to be of key therapeutic and/or prognostic relevance in CRC. Membrane-type 1 matrix metalloproteinase (MT1-MMP) is a membrane-anchored zinc-binding endopeptidase that is expressed at the leading edge of various invasive carcinomas and promotes tumor cell invasion through degradation of the extracellular matrix. The aim of this study was to investigate possible associations between MT1-MMP expression and molecular tumor characteristics as well as morphologic features of tumor aggressiveness in a consecutive series of 79 CRC tissue samples. However, although MT1-MMP was expressed in 41/79 samples (52%), there was no significant association between MT1-MMP expression and KRAS/BRAF mutation status, MMR protein expression, presence of lymphovascular invasion, tumor growth pattern, tumor-infiltrating lymphocytes, or tumor cell budding in our sample cohort (P > 0.05). Thus, we conclude that although MT1-MMP may play a role in CRC invasion, it is not of key relevance to the current models of CRC invasion and aggressiveness.
Daily time management in children with spina bifida.

PURPOSE Spina bifida (SB) often results in a complex disability and can also cause cognitive dysfunction. No previous study has investigated the ability to adapt to time in children with SB. This ability is crucial for an individual's possibility to develop autonomy in life. The purpose of this study was to investigate whether children aged 10-17 with SB have lower time-processing abilities than typically-developing children, and to describe the profile of time-processing in children with SB. METHOD Participants comprised a consecutive sample of 21 children (drawn from a geographical cohort of 45) aged 10-17 years (mean: 14 years, SD: 2 years); 13 were boys. The instruments used were KaTid-Y, Time-S, and Time-P. RESULTS The children with SB had lower time-processing abilities than typically-developing children (52.4% under -2SD), particularly difficulties to orient to and to estimate objective time, to understand time perspectives and with time planning. They also self-rated low use of strategies to adapt to time. The parents rated their children as having extensive difficulties in daily time management. CONCLUSIONS The low time-processing ability found in children with SB is likely to be an important contributing factor to low autonomy and independence.
Behavioural criteria of perceived mentoring effectiveness: An empirical study of effective and ineffective mentor and mentee behaviour within formal mentoring relationships

Purpose – Most past research on formal mentoring has investigated its antecedents, outcomes and benefits with little attention given to what goes on inside the dyadic relationship. The purpose of this paper is to explore the types of mentor and mentee behaviours that are perceived as critical factors contributing to either a positive or negative mentoring experience for the mentee and the mentor.Design/methodology/approach – Concrete examples of “effective” and “ineffective” mentor and mentee behaviour were collected from the research participants using Flanagan's Critical Incident Technique (CIT). The obtained CIT data were analyzed using forms of open and axial coding. Variants of content analysis were then used for conducting a series of subsequent comparative analyses.Findings – From a total of 187 coded critical incidents the study identified 11 positive and four negative behavioural criteria of mentoring effectiveness as perceived from the mentee perspective, and nine positive and three negative beh.
A review on computational systems biology of pathogen–host interactions

Pathogens manipulate the cellular mechanisms of host organisms via pathogen–host interactions (PHIs) in order to take advantage of the capabilities of host cells, leading to infections. The crucial role of these interspecies molecular interactions in initiating and sustaining infections necessitates a thorough understanding of the corresponding mechanisms. Unlike the traditional approach of considering the host or pathogen separately, a systems-level approach, considering the PHI system as a whole is indispensable to elucidate the mechanisms of infection. Following the technological advances in the post-genomic era, PHI data have been produced in large-scale within the last decade. Systems biology-based methods for the inference and analysis of PHI regulatory, metabolic, and protein–protein networks to shed light on infection mechanisms are gaining increasing demand thanks to the availability of omics data. The knowledge derived from the PHIs may largely contribute to the identification of new and more efficient therapeutics to prevent or cure infections. There are recent efforts for the detailed documentation of these experimentally verified PHI data through Web-based databases. Despite these advances in data archiving, there are still large amounts of PHI data in the biomedical literature yet to be discovered, and novel text mining methods are in development to unearth such hidden data. Here, we review a collection of recent studies on computational systems biology of PHIs with a special focus on the methods for the inference and analysis of PHI networks, covering also the Web-based databases and text-mining efforts to unravel the data hidden in the literature.
Nonlinear Shell Modeling of Thin Membranes with Emphasis on Structural Wrinkling

Thin solar sail membranes of very large span are being envisioned for near-term space missions. One major design issue that is inherent to these very flexible structures is the formation of wrinkling patterns. Structural wrinkles may deteriorate a solar sail's performance and, in certain cases, structural integrity. In this paper, a geometrically nonlinear, updated Lagrangian shell formulation is employed using the ABAQUS finite element code to simulate the formation of wrinkled deformations in thin-film membranes. The restrictive assumptions of true membranes, i.e. Tension Field theory (TF), are not invoked. Two effective modeling strategies are introduced to facilitate convergent solutions of wrinkled equilibrium states. Several numerical studies are carried out, and the results are compared with recent experimental data. Good agreement is observed between the numerical simulations and experimental data.
Sex Hormones and Choice under Risk

We correlate choice under risk in Holt-Laury lottery tasks for gains and losses with salivary testosterone, estradiol, progesterone, and cortisol, the use of hormonal contraceptives, menstrual cycle information as well as the digit ratio (2D:4D) in more than 200 subjects. Risk aversion is negatively correlated with testosterone and positively correlated with cortisol, a stress hormone, for gains only. In males, testosterone is negatively correlated with risk aversion for gains only. In females, cortisol is marginally significantly positively correlated with risk aversion for gains only. No other significant correlations between risk aversion and salivary hormones are observed. In females, testosterone and progesterone are positively correlated with reflection, i.e., risk aversion for gains and risk seeking for losses. Testosterone is negatively correlated with ``consistency'' of preferences in females, while estradiol is negatively correlated with ``consistency'' of preferences in males. No significant correlations between risk aversion and the menstrual cycle or the digit ratio are observed. Females on hormonal contraceptives are more likely to make ``consistent'' choices although this may be due to a selection effect. Risk aversion is positively correlated with being female for losses only. Yet, if we control for salivary hormones we are surprised to find a negative correlation between female and risk aversion for gains.
Assessment of an ensemble of seven real-time ozone forecasts over eastern North America during the summer of 2004

The real-time forecasts of ozone (O 3 ) from seven air quality forecast models (AQFMs) are statistically evaluated against observations collected during July and August of 2004 (53 days) through the Aerometric Information Retrieval Now (AIRNow) network at roughly 340 monitoring stations throughout the eastern United States and southern Canada. One of the first ever real-time ensemble O 3 forecasts, created by combining the seven separate forecasts with equal weighting, is also evaluated in terms of standard statistical measures, threshold statistics, and variance analysis. The ensemble based on the mean of the seven models and the ensemble based on the median are found to have significantly more temporal correlation to the observed daily maximum 1-hour average and maximum 8-hour average O 3 concentrations than any individual model. However, root-mean-square errors (RMSE) and skill scores show that the usefulness of the uncorrected ensembles is limited by positive O 3 biases in all of the AQFMs. The ensembles and AQFM statistical measures are reevaluated using two simple bias correction algorithms for forecasts at each monitor location: subtraction of the mean bias and a multiplicative ratio adjustment, where corrections are based on the full 53 days of available comparisons. The impact the two bias correction techniques have on RMSE, threshold statistics, and temporal variance is presented. For the threshold statistics a preferred bias correction technique is found to be model dependent and related to whether the model overpredicts or underpredicts observed temporal O 3 variance. All statistical measures of the ensemble mean forecast, and particularly the bias-corrected ensemble forecast, are found to be insensitive to the results of any particular model. The higher correlation coefficients, low RMSE, and better threshold statistics for the ensembles compared to any individual model point to their preference as a real-time O 3 forecast.
Bisecting sparse random graphs

Consider partitions of the vertex set of a graph G into two sets with sizes differing by at most 1: the bisection width of G is the minimum over all such partitions of the number of ‘‘cross edges’’ between the parts. We are interested in sparse random graphs Ž . G with edge probability c n. We show that, if c ln 4, then the bisection width is n n, c n with high probability; while if c ln 4, then it is equal to 0 with high probability. There are corresponding threshold results for partitioning into any fixed number of parts. 2001 John Wiley & Sons, Inc. Random Struct. Alg. , 18, 31 38, 2001
Poverty, Class, and Disability: A Historical, Social, and Political Perspective

Although this is a special education publication, in this article I engage the broader topic of creation of social hierarchy. Disability-which is subsumed under the generic construct "losing in stratified relations"-may be somewhat hidden from view. Moreover, for the purpose of clarity of argument, I intentionally oversimplify political positioning by referring to two inclusive sides, "leftists" and "rightists," a framing that challenges the neutrality of most people. Although this may seem to have little relevance to special educators, insights gained from a "big picture" view can shed light on current practice. I use graduation exit ("gateway") exams to show how social class relations are manifest _in school practice. After deconstructing the negative, I put forward ideas for reform and ask readers to join in a movement to transform hierarchical and excluding relations in school and society. Admittedly, these ideas are utopian, but so as not to drift toward unintended places and so that our daily efforts as professionals and citizens allow progress toward prized goals, an ideal community must be imagined (Anderson, 1983).
Broadband Active Sonar: Implications and Constraints.

Abstract : The broadband sonar concept has an impact on all areas of an active sonar system. This includes the signal processing of transmit receive signals, the response of the medium and the target response. Beginning with the definition of a broadband signal, the implications of broadband signal processing in terms of matched filtering, pulse compression, low probability of interception and beamforming are examined. This is followed by an investigation of the constraints imposed on the propagation of broadband signals by the medium. Finally a brief discussion on the use of broadband techniques for target classification concludes the report.
Psychosocial development and leader performance of military officer cadets

Efforts to educate and develop future military officers aim to produce highly competent, ethical and effective leaders to serve the nation. But while there is general agreement about desired outcomes, the underlying developmental processes associated with these outcomes are not well understood. How do we grow such leaders? This paper reports on a longitudinal study of West Point college students over four years, addressing three questions: (1) do military officer-cadets grow or change in their basic level of psychosocial development [Kegan, R. (1982). The Evolving Self: Problem and Process in Human Development. Cambridge, MA: Harvard University Press. ], (2) is the level of psychosocial development related to performance as leaders, and (3) do activities in high school predict later psychosocial development? Two groups of cadets were studied from their freshman or sophomore year to their senior year at the academy. Results show significant positive developmental growth over time for 47% of study participants, with most of this growth occurring from sophomore to senior year. Furthermore, psychosocial development predicts several peer, subordinate and supervisor ratings of cadet performance as leaders during the upperclass (junior and senior) years, a time when cadets take on substantial leadership roles. In addition, early performance ratings by high school teachers, as well as active participation in high school extracurricular activities both predict psychosocial development levels for freshman and sophomores. These findings lend support to Kegan's theoretical model, and suggest that greater attention be paid to these basic processes of human psychosocial development that can influence leader performance in important ways.
Hate speech, machine classification and statistical modelling of information flows on Twitter: interpretation and communication for policy decision making

In 2013, the murder of Drummer Lee Rigby in Woolwich, UK led to an extensive public social media reaction. Given the extreme terrorist motive and public nature of the actions it was feasible that the public response could include written expressions of hateful and antagonistic sentiment towards a particular race, ethnicity and religion, which can be interpreted as ‘hate speech’. This provided motivation to study the spread of hate speech on Twitter following such a widespread and emotive event. In this paper we present a supervised machine learning text classifier, trained and tested to distinguish between hateful and/or antagonistic responses with a focus on race, ethnicity or religion; and more general responses. We used human annotated data collected from Twitter in the immediate aftermath of Lee Rigby’s murder to train and test the classifier. As “Big Data” is a growing topic of study, and its use is in policy and decision making is being constantly debated at present, we discuss the use of supervised machine learning tools to classify a sample of “Big Data”, and how the results can be interpreted for use in policy and decision making. The results of the classifier are optimal using a combination of probabilistic, rule-based and spatial based classifiers with a voted ensemble meta-classifier. We achieve an overall F-measure of 0.95 using features derived from the content of each tweet, including syntactic dependencies between terms to recognise “othering” terms, incitement to respond with antagonistic action, and claims of well founded or justified discrimination against social groups. We then demonstrate how the results of the classifier can be robustly utilized in a statistical model used to forecast the likely spread of hate speech in a sample of Twitter data.
Performance of complex snow cover descriptions in a distributed hydrological model system: A case study for the high Alpine terrain of the Berchtesgaden Alps

Runoff generation in Alpine regions is typically affected by snow processes. Snow accumulation, storage, redistribution, and ablation control the availability of water. In this study, several robust parameterizations describing snow processes in Alpine environments were implemented in a fully distributed, physically based hydrological model. Snow cover development is simulated using different methods from a simple temperature index approach, followed by an energy balance scheme, to additionally accounting for gravitational and wind‐driven lateral snow redistribution. Test site for the study is the Berchtesgaden National Park (Bavarian Alps, Germany) which is characterized by extreme topography and climate conditions. The performance of the model system in reproducing snow cover dynamics and resulting discharge generation is analyzed and validated via measurements of snow water equivalent and snow depth, satellite‐based remote sensing data, and runoff gauge data. Model efficiency (the Nash‐Sutcliffe coefficient) for simulated runoff increases from 0.57 to 0.68 in a high Alpine headwater catchment and from 0.62 to 0.64 in total with increasing snow model complexity. In particular, the results show that the introduction of the energy balance scheme reproduces daily fluctuations in the snowmelt rates that trace down to the channel stream. These daily cycles measured in snowmelt and resulting runoff rates could not be reproduced by using the temperature index approach. In addition, accounting for lateral snow transport changes the seasonal distribution of modeled snowmelt amounts, which leads to a higher accuracy in modeling runoff characteristics.
The use of a mobile learning management system at an online university and its effect on learning satisfaction and achievement

This study investigates online students’ acceptance of mobile learning and its influence on learning achievement using an information system success and extended technology acceptance model (TAM). Structural equation modeling was used to test the structure of individual, social, and systemic factors influencing mobile learning’s acceptance, and how said acceptance influences learning satisfaction and achievement. Unlike earlier TAM-related research that did not provide a broad view of technological acceptance and its impact on learning activities, the present study’s results highlight the relationship between behavioral intention/learning satisfaction and learning achievement. Additionally, this study tests the theoretical model of successful mobile learning by empirically accepting mobile learning management systems. The findings further imply that students at online universities have started to accept mobile technology as a new learning tool; consequently, its acceptance has influenced their learning achievement both directly and indirectly. These discoveries should facilitate a better understanding of students’ usage of mobile learning systems in higher education, and provide timely guidance for its development and implementation.
Self-Organization of Blood Pressure Regulation: Clinical Evidence

The pathogenesis of vasovagal syncope has remained elusive despite many efforts to identify an underlying dysfunction. Catastrophe theory explains the spontaneous occurrence of sudden events in some mathematically complex systems known as self-organized systems poised at criticality. These systems universally exhibit a power law initially described in earthquake occurrence: the Gutenberg Richter law. The magnitude plotted against the total number of earthquakes of at least this magnitude draw a straight line on log-log graph. We hypothesized that vasovagal syncope is a catastrophe occurring spontaneously in the cardiovascular system. We counted the number and magnitude (number of beats) of vasovagal reactions (simultaneous decreases in both blood pressure and heart rate on consecutive beats) in 24 patients with vasovagal symptoms during a head-up tilt test and 24 paired patients with no symptoms during the test. For each patient, we checked whether vasovagal reaction occurrence followed the Gutenberg Richter law. The occurrence followed the Gutenberg Richter law in 43 patients (correlation coefficient |r| = 0.986 ± 0.001, mean ± SEM) out of 48, with no difference between patients with and without symptoms. We demonstrated that vasovagal syncope matches a catastrophe model occurring in a self-organized cardiovascular complex system poised at criticality. This is a new vision of cardiovascular regulation and its related disorders.