Miracle-dz/UniFAR-FTUs huggingface dataset:
Henoch-Schönlein purpura outcome in children: a ten-year clinical study.

INTRODUCTION Henoch-Schönlein purpura (HSP) is the most common vasculitis of childhood. It is characterized by symptoms including nonthrombocytopenic purpura, abdominal pain, haematuria/proteinuria, and arthralgia/arthritis. The pleiomorphism of clinical signs in HSP could be confused with other conditions or other vasculitis forms. OBJECTIVE Evaluation of HSP clinical presentation, the onset and severity of renal manifestation in affected children and their outcome. METHODS A retrospective study of 49 patients diagnosed with HSP was conducted from September 1999 to September 2009. Children with severe renal manifestations (nephrotic range proteinuria, with or without nephrotic or nephritic syndrome) have undergone kidney biopsy. RESULTS Twenty-five patients developed renal manifestations after onset of the disease. In our study child's older age was a risk factor for association with HSP nephritis. Six of the patients required kidney biopsy. They were successfully treated with various immunosuppressive protocols, as well as three of nine patients with nephrotic range proteinuria. Two patients developed most severe form of HSP nephritis, nephrotic-nephritic syndrome with histology grade IIIb/IVb. During the study period (average followup 6 years), all patients had a normal global renal function with mild proteinuria in only two cases. The prognosis of renal involvement was better than reports from other patient series. CONCLUSION Long-term morbidity of HSP is predominantly attributed to renal involvement. During the study period, no patient had renal insufficiency or end stage renal disease after various combinations of immunosuppressive treatment. It is recommended that patients with HSP nephritis are followed for longer periods of time with a regular measurement of renal function and proteinuria.
Recognising words in three languages: effects of language dominance and language switching

This study aims to examine language dominance and language switching effects in a series of monolingual and multilingual lexical decisions in which participants have to decide if the presented letter string is a word or not, regardless of language. Thirty participants (12 French–English bilinguals and 18 French–English–Spanish trilinguals) were recruited for two different experiments. In Experiment 1, 12 bilinguals processed two monolingual lists (L1 and L2) followed by a bilingual list (with L1 and L2 words). The results indicate faster answers and better accuracy for L1 words compared to L2 words in both lists, and a general slowdown of processing in the bilingual list, highlighting language switching effects (switch from L2 to L1 faster than from L1 to L2). In Experiment 2, 18 trilinguals performed successively monolingual (L1, L2 and L3), bilingual (L1L2, L1L3 and L2L3) and trilingual (L1L2L3) lists. The results show a slowdown of word processing as a function of number of languages involved, even for the dominant language (L1). Moreover, a language switching effect was found for all multilingual lists, in larger proportions when the list involves the two weakest languages (L2 and L3). Results are discussed in the light of interactive models of bilingual visual word processing.
The moderating influence of attitude strength on the susceptibility to context effects in attitude surveys.

In 3 experiments, the authors assessed whether attitude strength moderates the susceptibility of attitudes to item context effects in surveys. In Experiment 1, respondents completed multiple measures of attitude strength. Three weeks later, respondents participated in a context experiment. Results revealed that respondents with weak attitudes exhibited significantly larger context effect for 1 of 2 issues. In Experiment 2, the results of Experiment l were conceptually replicated by use of measures of interattitudinal embeddedness to assess attitude strength. In Experiment 3, significant strength-moderated context effects were found when attitude strength was assessed in a multi-item, multidimensional manner but not when it was assessed with a single item. Discussion focuses on measurement and theoretical issues related to the moderation and mediation of context effects in attitude surveys.
Communication skills training in oncology: a position paper based on a consensus meeting among European experts in 2009.

BACKGROUND Communication in cancer care has become a major topic of interest. Since there is evidence that ineffective communication affects both patients and oncology clinicians (physicians and nurses), so-called communication skills trainings (CSTs) have been developed over the last decade. While these trainings have been demonstrated to be effective, there is an important heterogeneity with regard to implementation and with regard to evidence of different aspects of CST. METHODS In order to review and discuss the scientific literature on CST in oncology and to formulate recommendations, the Swiss Cancer League has organised a consensus meeting with European opinion leaders and experts in the field of CST, as well as oncology clinicians, representatives of oncology societies and patient organisations. On the basis of a systematic review and a meta-analysis, recommendations have been developed and agreed upon. RESULTS Recommendations address (i) the setting, objectives and participants of CST, (ii) its content and pedagogic tools, (iii) organisational aspects, (iv) outcome and (v) future directions and research. CONCLUSION This consensus meeting, on the basis of European expert opinions and a systematic review and meta-analysis, defines key elements for the current provision and future development and evaluation of CST in oncology.
Ideas on Best Practices for Employee Assistance Program Policies

Abstract Policies are the foundation upon which Employee Assistance Programs are created. Despite this, little literature exists concerning what should be included in a formal policy. An outline is provided recommending attributes that would be of value to include and a mechanism to evaluate new and existing policies. The best practices guideline includes what should be included in an opening statement of principles and what procedures should be put in place for referral, monitoring and evaluation. Recommended responsibilities for program development are also included, as are recommendations regarding functions for different positions within the workplace with respect to an EAP.
A probabilistic method for fault diagnosis of multiprocessor systems

The authors present a system-level fault-diagnosis algorithm for identifying faulty and fault-free units in a homogeneous system of computing elements. The algorithm is based on a comparison approach where tasks are performed by the units and their outputs are compared among themselves. Unlike other approaches, the authors' algorithm requires no global syndrome analysis and therefore can be performed in real time as a background task during system operation. The time required to perform the diagnosis is constant regardless of the number of units in the system. Like previous global syndrome-based approaches, the accuracy of the algorithm is remarkably high, since it uses information about individual comparison results which is lost when these results are summarized in a global syndrome. <<ETX>>
MRI features of intracerebral hemorrhage within 2 hours from symptom onset.

BACKGROUND AND PURPOSE MRI has been increasingly used in the evaluation of acute stroke patients. However, MRI must be able to detect early hemorrhage to be the only imaging screen used before treatment such as thrombolysis. Susceptibility-weighted imaging, an echo-planar T2* sequence, can show intracerebral hemorrhage (ICH) in patients imaged between 2.5 and 5 hours from symptom onset. It is unknown whether MRI can detect ICH earlier than 2.5 hours. We describe 5 patients with ICH who had MRI between 23 and 120 minutes from symptom onset and propose diagnostic patterns of evolution of hyperacute ICH on MRI. METHODS As part of our acute imaging protocol, all patients with acute stroke within 24 hours from symptom onset were imaged with a set of sequences that included susceptibility-weighted imaging, diffusion- and perfusion-weighted imaging, T1- and T2-weighted imaging, fluid-attenuated inversion recovery (FLAIR), and MR angiography using echo-planar techniques. Five patients with ICH had MRI between 23 and 120 minutes from the onset of symptoms. RESULTS ICH was identified in all patients. Distinctive patterns of hyperacute ICH and absence of signs of ischemic stroke were the hallmark features of this diagnosis. The hyperacute hematoma appears to be composed of 3 distinct areas: (1) center: isointense to hyperintense heterogeneous signal on susceptibility-weighted and T2-weighted imaging; (2) periphery: hypointense (susceptibility effect) on susceptibility-weighted and T2-weighted imaging; and (3) rim: hypointense on T1-weighted imaging and hyperintense on T2-weighted imaging, representing vasogenic edema encasing the hematoma. CONCLUSIONS MRI is able to detect hyperacute ICH and show a pattern of evolution of the hematoma within 2 hours from the onset of symptoms.
The impact of a cultural children's program and adult mediation on children's knowledge of and attitudes towards opera

In this experiment, we investigated whether adult mediation during a cultural children's program stimulates children's knowledge of and attitudes towards opera. One hundred twenty four children were randomly assigned to one of two viewing conditions. In the mediation condition a coviewing adult provided children with additional comments and showed a positive attitude towards opera. In the non‐mediation condition a coviewing adult did not give comments and showed a neutral attitude towards the program watched. Children in the mediation condition recalled significantly more opera information. In both the mediation and the non‐mediation condition children's attitude towards opera was stimulated by the cultural children's program.
Health on the Web: Randomised Controlled Trial of Online Screening and Brief Alcohol Intervention Delivered in a Workplace Setting

Background Alcohol misuse in England costs around £7.3 billion (US$12.2 billion) annually from lost productivity and absenteeism. Delivering brief alcohol interventions to employees as part of a health check may be acceptable, particularly with online delivery which can provide privacy for this stigmatised behaviour. Research to support this approach is limited and methodologically weak. The aim was to determine the effectiveness of online screening and personalised feedback on alcohol consumption, delivered in a workplace as part of a health check. Methods and Findings This two-group online individually randomised controlled trial recruited employees from a UK-based private sector organisation (approx. 100,000 employees). 3,375 employees completed the online health check in the three week recruitment period. Of these, 1,330 (39%) scored five or more on the AUDIT-C (indicating alcohol misuse) and were randomised to receive personalised feedback on their alcohol intake, alongside feedback on other health behaviours (n = 659), or to receive feedback on all health behaviours except alcohol intake (n = 671). Participants were mostly male (75%), with a median age of 48 years and half were in managerial positions (55%). Median Body Mass Index was 26, 12% were smokers, median time undertaking moderate/vigorous physical activity a week was 173 minutes and median fruit and vegetable consumption was three portions a day. Eighty percent (n = 1,066) of participants completed follow-up questionnaires at three months. An intention to treat analysis found no difference between experimental groups for past week drinking (primary outcome) (5.6% increase associated with the intervention (95% CI −4.7% to 16.9%; p = .30)), AUDIT (measure of alcohol-related harm) and health utility (EQ-5D). Conclusions There was no evidence to support the use of personalised feedback within an online health check for reducing alcohol consumption among employees in this organisation. Further research is needed on how to engage a larger proportion of employees in screening. Trial Registration International Standard Randomised Controlled Trial Number Register ISRCTN50658915
The acquisition of the passive voice

ABSTRACT The study was aimed at determining the average ages at which children imitate (I), produce (P) and comprehend (C) passive constructions. The results were compared with those obtained from partial studies of the acquisition of the passive voice conducted by researchers such as Fraser, Bellugi & Brown (1963). The finding that imitation precedes comprehension which in turn precedes production (I > C > P), as reported by Fraser et al. (1963) for 12 three-year-olds, is confirmed in this study for children from 3; 0 to 8; 0. The ability to use the passive voice in various tasks was found to be generally greater than that suggested in previous studies.
An Architecturally-based Theory of Human Sentence Comprehension

This thesis presents NL-Soar, a detailed computational model of human sentence comprehension that accounts for a broad range of psycholinguistic phenomena. NL-Soar provides in-depth accounts of structural ambiguity resolution, garden path effects, unproblematic ambiguities, parsing breakdown on difficult embeddings, unacceptable embeddings, immediacy of interpretation, and the time course of comprehension. The model explains a variety of both modular and interactive effects, and shows how learning can affect ambiguity resolution behavior. In addition to accounting for the qualitative phenomena surrounding parsing breakdown and garden path effects, NL-Soar explains a wide range of contrasts between garden paths and unproblematic ambiguities, and difficult and acceptable embeddings: the theory has been applied in detail to over 100 types of structures representing theses contrasts, with a success rate of about 90%. The account of real-time immediacy includes predictions about the time course of comprehension and a zero-parameter prediction about the average rate of skilled comprehension. Finally, the theory has been successfully applied to a suggestive range of cross-linguistic examples, including constructions from head-final languages such as Japanese. NL-Soar is based on the Soar theory of cognitive architecture, which provides the underlying control structure, memory structures, and learning mechanism. The basic principles of NL-Soar are a result of applying these architectural mechanisms to the task of efficiently comprehending language in real-time. Soar is more than an implementation language for the system: it plays a central theoretical role and accounts for many of the model''s novel empirical predictions.
The role of phonological awareness in mediating between reading and listening to speech

Previous studies have shown that phonological awareness correlates with children's reading aloud and also adults' literacy experience. More recent research has further suggested that phonological awareness is associated with the processing of spoken language, which is a correlate of reading comprehension. In this paper, I argue that phonological awareness, reading, and spoken language are intercorrelated because phonological awareness mediates between the processing of written and spoken language, so far as the derivation of phonological information from print and speech is concerned. For meaning activation, phonological awareness may not have a role to play in linking reading to spoken language. In native and non-native adult speakers of English, I demonstrated: (1) a correlation between processing speech for meaning (i.e., listening comprehension) and reading comprehension, but not reading aloud; (2) a correlation between processing speech for phonological information (i.e., auditory phonological priming and phoneme discrimination) and reading aloud, but not reading comprehension; and (3) that phonological awareness mediated (2) but not (1). The implication is that phonological awareness binds reading and listening to speech only at the level of deriving a phonological code.
Can Social Meaningfulness and Repeat Exposure Help Infants and Toddlers Overcome the Video Deficit?

Two experiments were conducted to test several questions regarding very young children's (6–24 months) learning (i.e., simple action imitation and word learning) from video. Specifically, this study tested the video deficit, which is the tendency for infants and toddlers to learn significantly more effectively from live information than they do when identical information is presented on a screen. First, the video deficit was explored using two different tasks. Overall, the pattern of results was similar for action imitation and word learning. Specifically, the video deficit was present for both simple action imitation and for word learning in the middle cohort, but not present for younger and older children. Second, there was some mitigation of the video deficit from seeing socially meaningful actors for action imitation; however for word learning the effect only approached significance. Third, repetition helped children learn words more effectively, especially for the youngest and oldest cohort; however, repetition did not help for simple task imitation.
An Extrapolative Model of House Price Dynamics

A modest approximation by homebuyers leads house prices to display three features that are present in the data but usually missing from perfectly rational models: momentum at one-year horizons, mean reversion at five-year horizons, and excess longer-term volatility relative to fundamentals. Valuing a house involves forecasting the current and future demand to live in the surrounding area. Buyers forecast using past transaction prices. Approximating buyers do not adjust for the expectations of past buyers, and instead assume that past prices reflect only contemporaneous demand, as with a capitalization rate formula. Consistent with survey evidence, this approximation leads buyers to expect increases in the market value of their homes after recent house price increases, to fail to anticipate the price busts that follow booms, and to be overconfident in their assessments of the housing market.
Low-resource Multi-task Audio Sensing for Mobile and Embedded Devices via Shared Deep Neural Network Representations

Continuous audio analysis from embedded and mobile devices is an increasingly important application domain. More and more, appliances like the Amazon Echo, along with smartphones and watches, and even research prototypes seek to perform multiple discriminative tasks simultaneously from ambient audio; for example, monitoring background sound classes (e.g., music or conversation), recognizing certain keywords (‘Hey Siri' or ‘Alexa'), or identifying the user and her emotion from speech. The use of deep learning algorithms typically provides state-of-the-art model performances for such general audio tasks. However, the large computational demands of deep learning models are at odds with the limited processing, energy and memory resources of mobile, embedded and IoT devices. In this paper, we propose and evaluate a novel deep learning modeling and optimization framework that specifically targets this category of embedded audio sensing tasks. Although the supported tasks are simpler than the task of speech recognition, this framework aims at maintaining accuracies in predictions while minimizing the overall processor resource footprint. The proposed model is grounded in multi-task learning principles to train shared deep layers and exploits, as input layer, only statistical summaries of audio filter banks to further lower computations. We find that for embedded audio sensing tasks our framework is able to maintain similar accuracies, which are observed in comparable deep architectures that use single-task learning and typically more complex input layers. Most importantly, on an average, this approach provides almost a 2.1× reduction in runtime, energy, and memory for four separate audio sensing tasks, assuming a variety of task combinations.
Contextual Interference and Motor Skill Learning in Alzheimer’s Disease

This study examined the acquisition, retention, and transfer of a gross motor skill, namely, tossing, in 84 moderate-to-severely demented patients with Alzheimer’s disease (AD) and 72 healthy elderly controls. To identify optimal learning strategies, participants received 10 weeks of training under 1 of 5 practice conditions: constant, variable-parameter, variable-program, variable-combined, or no training. Constant practice was the only training condition that significantly enhanced learning and near transfer in AD patients. In comparison, all 4 types of training facilitated acquisition and near transfer in the healthy controls, with variable-combined practice being the most beneficial. The superiority of the variable practice conditions in the healthy controls supports both Schmidt’s (1975) variability of practice hypothesis and contextual interference theory. The inability of AD patients to benefit from variable forms of practice suggests that these impaired individuals may have difficulty accessing and/or forming motor schemas.
Road Crossings as Barriers to Small-Stream Fish Movement

Abstract We used mark–recapture techniques to examine the effects of four types of road crossings on fish movement during spring base flows and summer low flows in small streams of the Ouachita Mountains, west-central Arkansas. We assessed movement for 21 fish species in seven families through culvert, slab, open-box, and ford crossings and through natural reaches. We detected no seasonal or directional bias in fish movement through any crossing type or the natural reaches. Overall fish movement was an order of magnitude lower through culverts than through other crossings or natural reaches, except no movement was detected through the slab crossing. In contrast, open-box and ford crossings showed little difference from natural reaches in overall movement of fishes. Numbers of species that traversed crossings and movement within three of four dominant fish families (Centrarchidae, Cyprinidae, and Fundulidae) also were reduced at culverts relative to ford and open-box crossings and natural reaches. In sprin.
Mining statistically important equivalence classes and delta-discriminative emerging patterns

The support-confidence framework is the most common measure used in itemset mining algorithms, for its antimonotonicity that effectively simplifies the search lattice. This computational convenience brings both quality and statistical flaws to the results as observed by many previous studies. In this paper, we introduce a novel algorithm that produces itemsets with ranked statistical merits under sophisticated test statistics such as chi-square, risk ratio, odds ratio, etc. Our algorithm is based on the concept of equivalence classes. An equivalence class is a set of frequent itemsets that always occur together in the same set of transactions. Therefore, itemsets within an equivalence class all share the same level of statistical significance regardless of the variety of test statistics. As an equivalence class can be uniquely determined and concisely represented by a closed pattern and a set of generators, we just mine closed patterns and generators, taking a simultaneous depth-first search scheme. This parallel approach has not been exploited by any prior work. We evaluate our algorithm on two aspects. In general, we compare to LCM and FPclose which are the best algorithms tailored for mining only closed patterns. In particular, we compare to epMiner which is the most recent algorithm for mining a type of relative risk patterns, known as minimal emerging patterns. Experimental results show that our algorithm is faster than all of them, sometimes even multiple orders of magnitude faster. These statistically ranked patterns and the efficiency have a high potential for real-life applications, especially in biomedical and financial fields where classical test statistics are of dominant interest.