Miracle-dz/UniFAR-FTUs huggingface dataset:
Nonword repetition and sentence repetition as clinical markers of specific language impairment: the case of Cantonese.

PURPOSE Recent research suggests that nonword repetition (NWR) and sentence repetition (SR) tasks can be used to discriminate between children with SLI and their typically developing age-matched (TDAM) and younger (TDY) peers. METHOD Fourteen Cantonese-speaking children with SLI and 30 of their TDAM and TDY peers were compared on NWR and SR tasks. NWR of IN nonwords (CV combinations attested in the language) and OUT nonwords (CV combinations unattested in the language) were compared. SR performance was compared using 4 different scoring methods. RESULTS The SLI group did not score significantly lower than the TDAM group on the test of NWR (overall results were TDAM = SLI > TDY). There were nonsignificant group differences on IN syllables but not on OUT syllables. The results do not suggest a limitation in phonological working memory in Cantonese-speaking children with SLI. The SR task discriminated between children and their TDAM peers but not between children with SLI and their TDY peers matched for mean length of utterance. CONCLUSIONS SR but not NWR discriminates between children with SLI and their TDAM peers. Poorer NWR for English-speaking children with SLI might be attributable to weaker use of the redintegration strategy in word repetition. Further cross-linguistic investigations of processing strategies are required.
Genomics-based Approach and Prognostic Stratification Significance of Gene Mutations in Intermediate-risk Acute Myeloid Leukemia

Objective:Intermediate-risk acute myeloid leukemia (IR-AML), which accounts for a substantial number of AML cases, is highly heterogeneous. We systematically summarize the latest research progress on the significance of gene mutations for prognostic stratification of IR-AML. Data Sources:We conducted a systemic search from the PubMed database up to October, 2014 using various search terms and their combinations including IR-AML, gene mutations, mutational analysis, prognosis, risk stratification, next generation sequencing (NGS). Study Selection:Clinical or basic research articles on NGS and the prognosis of gene mutations in IR-AML were included. Results:The advent of the era of whole-genome sequencing has led to the discovery of an increasing number of molecular genetics aberrations that involved in leukemogenesis, and some of them have been used for prognostic risk stratification. Several studies have consistently identified that some gene mutations have prognostic relevance, however, there are still many controversies for some genes because of lacking sufficient evidence. In addition, tumor cells harbor hundreds of mutated genes and multiple mutations often coexist, therefore, single mutational analysis is not sufficient to make accurate prognostic predictions. The comprehensive analysis of multiple mutations based on sophisticated genomic technologies has raised increasing interest in recent years. Conclusions:NGS represents a pioneering and helpful approach to prognostic risk stratification of IR-AML patients. Further large-scale studies for comprehensive molecular analysis are needed to provide guidance and a theoretical basis for IR-AML prognostic stratification and clinical management.
The Barbero connection and its relation to the histories connection formalism without gauge fixing

We present a histories version of the connection formalism of general relativity. Such an approach introduces a spacetime description—a characteristic feature of the histories approach—and we discuss the extent to which the usual loop variables are compatible with a spacetime description. In particular, we discuss the definability of the Barbero connection without any gauge fixing. Although it is not the pullback of a spacetime connection onto the 3-surface and it does not have a natural spacetime interpretation, this does not mean that the Barbero connection is not a suitable variable for quantization; it appears naturally in the formalism even in the absence of gauge fixing. It may be employed therefore to define loop variables similar to those employed in loop quantum gravity. However, the loop algebra would have to be augmented by the introduction of additional variables.
Towards Interactive Fault Localization Using Test Information

Finding the location of a fault is a central task of debugging. Typically, a developer employs an interactive process for fault localization. To accelerate this task, several approaches have been proposed to automate fault localization. In practice, testing-based fault localization (TBFL), which uses test information to locate faults, has become a research focus. However, experimental results reported in the literature showed that current automation of fault localization can only serve as a means to confirming the search space and prioritizing search sequences, not a substitute of the interactive fault localization process. In this paper, we propose an approach based on test information to support the entire interactive fault localization process. During this process, the information gathered from previous interaction steps can be used to provide the ranking of suspicious statements for the current interaction step. As a feasibility study of our approach, we performed an experiment on applying our approach together with some other TBFL approaches on the Siemens programs, which have been used in the literature. Our experimental results show the effectiveness of our approach.
Modeling the Overalternating Bias with an Asymmetric Entropy Measure

Psychological research has found that human perception of randomness is biased. In particular, people consistently show the overalternating bias: they rate binary sequences of symbols (such as Heads and Tails in coin flipping) with an excess of alternation as more random than prescribed by the normative criteria of Shannon's entropy. Within data mining for medical applications, Marcellin proposed an asymmetric measure of entropy that can be ideal to account for such bias and to quantify subjective randomness. We fitted Marcellin's entropy and Renyi's entropy (a generalized form of uncertainty measure comprising many different kinds of entropies) to experimental data found in the literature with the Differential Evolution algorithm. We observed a better fit for Marcellin's entropy compared to Renyi's entropy. The fitted asymmetric entropy measure also showed good predictive properties when applied to different datasets of randomness-related tasks. We concluded that Marcellin's entropy can be a parsimonious and effective measure of subjective randomness that can be useful in psychological research about randomness perception.
Background independence and the open topological string wavefunction

The open topological string partition function in the background of a D-brane on a Calabi-Yau threefold specifies a state in the Hilbert space associated with the quantization of the underlying special geometry. This statement is a consequence of the extended holomorphic anomaly equation after an appropriate shift of the closed string variables, and can be viewed as the expression of background independence for the open-closed topological string. We also clarify various other aspects of the structure of the extended holomorphic anomaly equation. We conjecture that the collection of all D-branes furnishes a basis of the Hilbert space, and revisit the BPS interpretation of the open topological string wavefunction in this light.
Chronic pain in "probable" vascular dementia: preliminary findings.

BACKGROUND In a previous study, the levels of pain reported by patients with "possible" vascular dementia (VaD) were higher than those reported by older individuals without dementia. OBJECTIVE To examine experienced pain in patients with "probable" VaD, confirmed by brain imaging. STUDY DESIGN Observational, cross sectional. SETTING Nursing home. METHODS The participants were 20 nursing home residents (14 females, 6 males) who met the NINDS-AIREN criteria for "probable" VaD and 22 nursing home residents with a normal mental status (18 females, 4 males). The patients were in a mild to moderate stage of dementia. All of the participants were suffering from arthritis/arthrosis or osteoporosis. Global cognitive functioning was measured by the Mini-Mental State Examination. Pain was assessed by the Coloured Analogue Scale (CAS: original and modified version) and the Faces Pain Scale. The Geriatric Depression Scale and the Symptom Checklist-90 were used to assess mood. RESULTS The main finding was that, after controlling for mood, the pain levels indicated by patients with "probable" VaD (M = 102.32; standard deviation [SD] = 53.42) were significantly higher than those indicated by the control group (M = 59.17; SD = 38.75), only according to the CAS modified version (F[1,29]) = 5.62, P = 0.01, η2 = 0.16). CONCLUSION As VaD patients may experience greater pain than controls, it is essential for prescribers to be aware of the presence of this neuropathology if these patients are to receive adequate treatment.
Accelerating Viola-Jones face detection for embedded and SoC environments

In this communication a speed optimized implementation of Viola-Jones Face Detection Algorithm based on the baseline OpenCV face detection application is presented. The baseline OpenCV face detection application is analyzed. Then the necessary modifications and improvements are described in order to accelerate the execution speed in an embedded or SoC (System-on-Chip) environments.
Sperm design and sperm function

Spermatozoa vary enormously in their form and dimensions, both between and within species, yet how this variation translates into fertilizing efficiency is not known. Sperm swimming velocity is a key determinant of male fertilization success, but previous efforts to identity which sperm phenotypic traits are associated with swimming velocity have been unsuccessful. Here, we examine the relationship between the size of several sperm components and sperm swimming velocity in natural populations of red deer (Cervus elaphus hispanicus) where selective pressures to enhance male reproductive success are expected to be strong. Our results show that there is little within-male and considerable between-male variation in sperm dimensions. Spermatozoa with longer midpieces swim more slowly, a finding which does not support the hypothesis that the size of the midpiece determines the amount of energy which is translated into swimming speed. In contrast, spermatozoa with elongated heads, and those in which the relative length of the rest of the flagellum is longer, swim faster. Thus, the hydrodynamic shape of the head and the forces generated by the relative size of the rest of the flagellum seem to be the key determinants of sperm swimming velocity.
Growth and physiological changes in continuously cropped eggplant (Solanum melongena L.) upon relay intercropping with garlic (Allium sativum L.)

Relay intercropping represents an alternative for sustainable production of vegetables, but the changes of internally antioxidant defense combined with the growth and yield are not clear. Field experiment was carried out to investigate the malondialdehyde (MDA) content and activity levels of superoxide dismutase (SOD), peroxidase (POD), polyphenol oxidase (PPO), and phenylalanine ammonia-lyase (PAL) in eggplant (Solanum melongena L.) and plant height, stem diameter, maximal leaf area, and yield of eggplant grown under successive cropping in the year 2011 and 2012 to see if relay intercropping with garlic (Allium sativum L.) could benefit to eggplant growth and yield. Three experimental treatments with three repeats in each were carried out (completely randomized block design): eggplant monoculture (CK), eggplant relay intercropping with normal garlic (NG), and eggplant relay intercropping with green garlic (GG). In both years, the MDA content was significantly lower and SOD and POD activities were generally lower in NG and GG compared with CK in most sampling dates. PPO activity trends were generally opposite to those of POD. The general trend of PAL activity was similar to MDA. The plant height and stem of eggplant was lower, but the maximal leaf area was larger in NG and GG in 2011; in 2012 the plant growth was stronger in relay intercropping treatments. For eggplant yield in 2011, NG was 2.85% higher than CK; after the time for the green garlic pulled out was moved forward in 2012, the yield was increased by 6.26 and 7.80%, respectively, in NG and GG. The lower MDA content and enzyme activities in relay intercropping treatments showed that the eggplant suffered less damage from environment and continuous cropping obstacles, which promoted healthier plant. Thus from both the growth and physiological perspective, it was concluded that eggplant/garlic relay intercropping is a beneficial cultivation practice maintaining stronger plant growth and higher yield.
Designing Efficient College and Tax Policies

The total social benefits of college education exceed the private benefits because the government receives a share of the monetary returns in the form of income taxes. We study the policy implications of this fiscal externality in an optimal dynamic tax framework. Using a variational approach we derive a formula for the revenue effect of an increase in college education subsidies and for the excess burden of income taxation caused by the college margin. We also show how the optimal nonlinear income tax problem is altered by the college margin. Our modeling assumptions are strongly guided by the recent structural labor literature on college education. The model incorporates multidimensional heterogeneity, idiosyncratic risk and borrowing constraints. The model matches key empirical results on college enrollment patterns, returns to education and enrollment elasticities. Quantitatively, we find that a marginal increase in college subsidies in the US is at least 70 percent self-financing through the net-present value increase in future tax revenue. When targeting this increase to children in the lowest parental income tercile, it is even up to 165 percent self-financing. The excess burden of income taxation is only slightly altered by the college margin and therefore the optimal Mirrleesian income tax schedule is barely affected as well, in particular if subsidies are set at their optimal level.
1 MIMO Receive Algorithms

The optimal detection problem in multi-antenna wireless communication systems often reduces to the problem of finding the least-squares solution to a system of linear equations, where the unknown vector is comprised of integers, but the matrix coefficients and the given vector are real-valued. The problem is equivalent to finding the closest lattice point to a given point and is known to be NP-hard. We review the most commonly used solution techniques, and discuss their computational complexity. Among heuristic algorithms, we focus on the nulling and cancelling techniques, and their fast implementations based on linear estimation theory. We then show that an exact method, the sphere decoding algorithm, often has expected complexity implementable in practical systems. We also describe extensions of sphere decoding techniques to receivers that make use of the so-called soft information.
Combining Information from Multiple Classifiers for Speaker Verification

in Proc. of Speaker Recognition and its Commercial and Forensic Applications, France, April 1998. Combining Information from Multiple Classi ers for Speaker Veri cation Sangita Sharma1, Pieter Vermeulen1, Hynek Hermansky1;2 1Oregon Graduate Institute of Science and Technology, Portland, Oregon, USA. 2International Computer Science Institute, Berkeley, California, USA. sangita,pieter,hynek@ece.ogi. edu Abstract Given two independent speaker veri cation systems, it is reasonable to expect some uncorrelated errors. If some trends in this behavior can be detected, one should be able to improve the performance of the combined system beyond that of the best individual system. In this paper, we use a non-linear combiner to combine results from two independent speaker veri cation systems. Experiments conducted on a subset of the 97 NIST Speaker Evaluation Task, show that the combination improves equal error rate (EER) by up to 9% when the two systems have comparable performance. When one system outperforms the other, the performance of the combiner is similar to that of the best system. Experiments using simulated data show that the combination yields large improvement (21%) in performance when the two systems outperform each other under di erent operating conditions. R esum e Donn e deux syst emes ind ependants de v eri cation de locuteur, ils devraient avoir quelques erreurs noncorr elatives. Si de telles tendances dans les erreurs peuvent être d etect ees, alors une combinaison de ces syst emes donnez l'erreur inf erieure que le meilleur syst eme individuel. En cet article, nous etudions l'utilisation d'un combinateur non lin eaire de combiner les r esultats de deux syst emes ind ependants de v eri cation de locuteur. Les r esultats indiquent les conditions dans lesquelles le combinateur peut r eduire l'erreur (EER).
Depressive symptoms are associated with leukocyte telomere length in American Indians: findings from the Strong Heart Family Study

Patients with depression have an increased risk for many aging-related disorders, but the biological mechanisms underlying this link remain to be determined. Here we examined the association between depressive symptoms and leukocyte telomere length (LTL), a marker of biological aging, among 2,175 American Indians participating in the Strong Heart Family Study. Depressive symptoms were assessed by the Center for Epidemiologic Studies of Depression Scale (CES-D), which was categorized into four levels: none (< 10), mild (10-15), moderate (16-24), and severe (> 24). LTL (T/S ratio) was quantified by qPCR. The association between depressive symptoms and LTL was examined by multivariate generalized estimating equation models, adjusting for sociodemographic factors, lifestyle factors, and chronic conditions. Results showed that individuals with a higher level of depressive symptoms had shorter LTL. Specifically, LTL in participants reporting none, mild, moderate, and severe depressive symptoms were 1.000, 0.999, 0.988, and 0.966, respectively (P for trend = 0.0278). Moreover, gender appears to modulate the effect of reported depressive symptoms that fall in the severe range (CES-D > 24) on LTL (P for interaction = 0.0346). Our results suggest that depressive symptoms may accelerate biological aging through pathways beyond traditional risk factors in American Indians.
Integrating Religious and Sexual Identities: The Case of Religious Homosexual Men in Singapore

Abstract The sexual and religious ecosystem in Singapore represents an intricate interplay of factors that religious homosexuals navigate to attain a well-adjusted personal identity. A qualitative research project was conducted to understand how Christian and Muslim homosexual men in Singapore integrate their religious and sexual identities. In-depth semi-structured interviews were conducted with nine religious homosexuals to elicit responses on their dual-identity experience, and coping strategies. Narrative analysis revealed three themes (and a number of subthemes): (1) Intrapersonal factors (a personal journey, knowledge seeking, reinterpreting belief system, redemption by good deeds, and love prevails over sin), (2) Interpersonal factors (segregating social circles, involvement in the gay community, role models, and social support), and (3) Sociopolitical factors (state and societal tolerance of homosexuals, and homosexual events). Interestingly, the participants assigned positive attributes to being both religious and homosexual, and reported that embodying both identities was enriching than if they had possessed just one of the two identities. This suggests that integrating positive psychological frameworks (e.g., stress-related growth) to existing ones may provide a more holistic account of identity integration among religious homosexuals.
Investigating a process model for leader affective presence, interpersonal emotion regulation, and interpersonal behaviour in teams

ABSTRACT Leader affective presence is the tendency of leaders to elicit feelings that are consistent among other individuals, and has been supported as a relevant personality trait for understanding teamwork. Drawing on a model that integrates personality and emotion regulation, this study aimed to expand research on affective presence by proposing team members’ perceptions of leader interpersonal emotion regulation as a process that explains how leader affective presence is related to team member behaviour. In the model, teamness—the perception that interdependence and reflexivity are required in the team—is presented as a boundary condition to the effects of affective presence via emotion regulation. Results of a study conducted with 99 teams showed that team member ratings of leader positive affective presence were linked to their perceptions that leaders had used affect-improving emotion regulation which in turn was associated with greater team citizenship behaviour. Contrariwise, team member ratings of leader negative affective presence were associated with perceived use of affect-worsening emotion regulation by leaders which in turn was associated with lower levels of team citizenship, but only when teams were low in teamness. These findings contribute to understanding how leaders’ individual differences are related to teamwork through affective processes.