Miracle-dz/UniFAR-FTUs huggingface dataset:
Reward Changes Salience in Human Vision via the Anterior Cingulate

Reward-related mesolimbic dopamine steers animal behavior, creating automatic approach toward reward-associated objects and avoidance of objects unlikely to be beneficial. Theories of dopamine suggest that this reflects underlying biases in perception and attention, with reward enhancing the representation of reward-associated stimuli such that attention is more likely to be deployed to the location of these objects. Using measures of behavior and brain electricity in male and female humans, we demonstrate this to be the case. Sensory and perceptual processing of reward-associated visual features is facilitated such that attention is deployed to objects characterized by these features in subsequent experimental trials. This is the case even when participants know that a strategic decision to attend to reward-associated features will be counterproductive and result in suboptimal performance. Other results show that the magnitude of visual bias created by reward is predicted by the response to reward feedback in anterior cingulate cortex, an area with strong connections to dopaminergic structures in the midbrain. These results demonstrate that reward has an impact on vision that is independent of its role in the strategic establishment of endogenous attention. We suggest that reward acts to change visual salience and thus plays an important and undervalued role in attentional control.
A PKC-Dependent Recruitment of MMP-2 Controls Semaphorin-3A Growth-Promoting Effect in Cortical Dendrites

There is increasing evidence for a crucial role of proteases and metalloproteinases during axon growth and guidance. In this context, we recently described a functional link between the chemoattractive Sema3C and Matrix metalloproteinase 3 (MMP3). Here, we provide data demonstrating the involvement of MMP-2 to trigger the growth-promoting effect of Sema3A in cortical dendrites. The in situ analysis of MMP-2 expression and activity is consistent with a functional growth assay demonstrating in vitro that the pharmacological inhibition of MMP-2 reduces the growth of cortical dendrites in response to Sema3A. Hence, our results suggest that the selective recruitment and activation of MMP-2 in response to Sema3A requires a PKC alpha dependent mechanism. Altogether, we provide a second set of data supporting MMPs as effectors of the growth-promoting effects of semaphorins, and we identify the potential signalling pathway involved.
Association of socioeconomic position with insulin resistance among children from Denmark, Estonia, and Portugal: cross sectional study

Abstract Objectives To examine the association between socioeconomic position and insulin resistance in children from three countries in northern Europe (Denmark), eastern Europe (Estonia), and southern Europe (Portugal) that have different physical, economic, and cultural environments. Design Cross sectional study. Participants 3189 randomly selected schoolchildren aged 9 and 15 years from Denmark (n = 933), Estonia (n = 1103), and Portugal (n = 1153). Main outcome measure Insulin resistance (homoeostasis model assessment). Results Family income and parental education were inversely associated with insulin resistance in Danish children but were positively associated with insulin resistance in Estonian and Portuguese children. Among Danish children, insulin resistance was 24% lower (95% confidence interval −38% to −10%) in those whose fathers had the most education compared with those with the least education. The equivalent results were 15% (2% to 28%) higher for Estonia and 19% (2% to 36%) higher for Portugal. These associations remained after adjustment for a range of covariates: −20% (−36% to −5%) for Denmark, 10% (−4% to 24%) for Estonia, and 18% (−1% to 31%) for Portugal. Strong statistical evidence supported differences between the associations in Denmark and those in the other two countries in both unadjusted and adjusted models (all P < 0.03). Conclusions Among Danish children, those with the most educated and highest earning parents had least insulin resistance, whereas the opposite was true for children from Estonia and Portugal.
How to improve parameter estimates in GLM-based fMRI data analysis: cross-validated Bayesian model averaging

In functional magnetic resonance imaging (fMRI), model quality of general linear models (GLMs) for first-level analysis is rarely assessed. In recent work (Soch et al., 2016: “How to avoid mismodelling in GLM-based fMRI data analysis: cross-validated Bayesian model selection”, NeuroImage, vol. 141, pp. 469-489; DOI: 10.1016/j. neuroimage.2016.07.047), we have introduced cross-validated Bayesian model selection (cvBMS) to infer the best model for a group of subjects and use it to guide second-level analysis. While this is the optimal approach given that the same GLM has to be used for all subjects, there is a much more efficient procedure when model selection only addresses nuisance variables and regressors of interest are included in all candidate models. In this work, we propose cross-validated Bayesian model averaging (cvBMA) to improve parameter estimates for these regressors of interest by combining information from all models using their posterior probabilities. This is particularly useful as different models can lead to different conclusions regarding experimental effects and the most complex model is not necessarily the best choice. We find that cvBMS can prevent not detecting established effects and that cvBMA can be more sensitive to experimental effects than just using even the best model in each subject or the model which is best in a group of subjects.
Atomicity in electronic commerce

Abstract : This paper will appear as an invited paper in the May 1996 proceedings of the ACM Symposium on Principles of Distributed Computing. There is a tremendous demand for the ability to electronically buy and sell goods over networks. Electronic commerce has inspired a large variety of work. Unfortunately, much of that work ignores traditional transaction processing concerns - chiefly atomicity. This paper discusses the role of atomicity in electronic commerce. It then briefly surveys some major types of electronic commerce pointing out flaws in atomicity. We pay special attention to the atomicity problems of proposals for digital cash. The paper presents two examples of highly atomic electronic commerce systems: NetBill and Cryptographic Postage Indicia.
Involvement of MicroRNAs in Regulation of Osteoblastic Differentiation in Mouse Induced Pluripotent Stem Cells

Backgoround MicroRNAs (miRNAs), which regulate biological processes by annealing to the 3′-untranslated region (3′-UTR) of mRNAs to reduce protein synthesis, have been the subject of recent attention as a key regulatory factor in cell differentiation. The effects of some miRNAs during osteoblastic differentiation have been investigated in mesenchymal stem cells, however they still remains to be determined in pluripotent stem cells. Methodology/Principal Findings Bone morphogenic proteins (BMPs) are potent activators of osteoblastic differentiation. In the present study, we profiled miRNAs during osteoblastic differentiation of mouse induced pluripotent stem (iPS) cells by BMP-4, in which expression of important osteoblastic markers such as Rux2, osterix, osteopontin, osteocalcin, PTHR1 and RANKL were significantly increased. A miRNA array analysis revealed that six miRNAs including miR-10a, miR-10b, miR-19b, miR-9-3p, miR-124a and miR-181a were significantly downregulated. Interestingly, miR-124a and miR-181a directly target the transcription factors Dlx5 and Msx2, both of which were increased by about 80-and 30-fold, respectively. In addition, transfection of miR-124a and miR-181a into mouse osteo-progenitor MC3T3-E1 cells significantly reduced expression of Dlx5, Runx2, osteocalcin and ALP, and Msx2 and osteocalcin, respectively. Finally, transfection of the anti-miRNAs of these six miRNAs, which are predicted to target Dlx5 and Msx2, into mouse iPS cells resulted in a significant increase in several osteoblastic differentiation markers such as Rux2, Msx2 and osteopontin. Conclusions/Significance In the present study, we demonstrate that six miRNAs including miR-10a, miR-10b, miR-19b, miR-9-3p, miR-124a and miR-181a miRNAs, especially miR-124a and miR-181a, are important regulatory factors in osteoblastic differentiation of mouse iPS cells.
Plasma Metanephrine for Assessing the Selectivity of Adrenal Venous Sampling

Adrenal vein sampling is used to establish the origins of excess production of adrenal hormones in primary aldosteronism. Correct catheter positioning is confirmed using adrenal vein measurements of cortisol, but this parameter is not always reliable. Plasma metanephrine represents an alternative parameter. The objective of our study was to determine the use of plasma metanephrine concentrations to establish correct catheter positioning during adrenal vein sampling with and without cosyntropin stimulation. We included 52 cosyntropin-stimulated and 34 nonstimulated sequential procedures. Plasma cortisol and metanephrine concentrations were measured in adrenal and peripheral venous samples. Success rates of sampling, using an adrenal to peripheral cortisol selectivity index of 3.0, were compared with success rates of metanephrine using a selectivity index determined by receiver operating characteristic curve analysis. Among procedures assessed as selective using cortisol, the adrenal to peripheral vein ratio of metanephrine was 6-fold higher than that of cortisol (94.0 versus 15.5; P<0.0001). There were significant positive relationships between adrenal to peripheral vein ratios of cortisol and metanephrine for cosyntropin-stimulated samplings but not for nonstimulated samplings. Receiver operating characteristic curve analysis indicated a plasma metanephrine selectivity index cutoff of 12. Using this cutoff, concordance in sampling success rates determined by cortisol and metanephrine was substantially higher in cosyntropin-stimulated than in nonstimulated samplings (98% versus 59%). For the latter procedures, sampling success rates determined by metanephrine were higher (P<0.01) than those determined by cortisol (91% versus 56%). In conclusion, metanephrine provides a superior analyte compared with cortisol in assessing the selectivity of adrenal vein sampling during procedures without cosyntropin stimulation.
Computational and experimental analysis of DNA shuffling

We describe a computational model of DNA shuffling based on the thermodynamics and kinetics of this process. The model independently tracks a representative ensemble of DNA molecules and records their states at every stage of a shuffling reaction. These data can subsequently be analyzed to yield information on any relevant metric, including reassembly efficiency, crossover number, type and distribution, and DNA sequence length distributions. The predictive ability of the model was validated by comparison to three independent sets of experimental data, and analysis of the simulation results led to several unique insights into the DNA shuffling process. We examine a tradeoff between crossover frequency and reassembly efficiency and illustrate the effects of experimental parameters on this relationship. Furthermore, we discuss conditions that promote the formation of useless “junk” DNA sequences or multimeric sequences containing multiple copies of the reassembled product. This model will therefore aid in the design of optimal shuffling reaction conditions.
Occupational Therapy Students' Learning Styles and Application to Professional Academic Training

SUMMARY Methods of optimizing students' learning have been a major concern of educators over time. If occupational therapy educators know the students' learning styles at the onset of their training, teaching can be designed to enhance students' optimal learning throughout their education. This study determined learning styles of 201 junior students (age range = 18–57, mean age = 30.9), enrolled in an urban occupational therapy program from 1990 to 1999. Kolb's Learning Style Inventory, a 12-item questionnaire, was administered to the students in the spring of their junior years. Their learning styles were determined using Kolb's criteria. Results yielded: variations in students' preferred learning styles in each class from year to year; higher percentage of convergers (mean = 35%), fewer divergers (mean = 18%). Overall, students were mostly convergers (mean = 35%) and assimilators (mean = 25%). Applications of the findings to teaching students are discussed.
Energy expenditure does not predict weight change in either Nigerian or African American women.

BACKGROUND The relation between variation in interindividual levels of energy expenditure and weight gain remains controversial. OBJECTIVE To determine whether or not components of the energy budget predict weight change, we conducted an international comparative study in 2 cohorts of women from sociocultural environments that give rise to the extremes of obesity prevalence. DESIGN This was a prospective study with energy expenditure measured at baseline and weight measured annually for 3 y. Participants included 149 women from rural Nigeria and 172 African American women. The energy budget was determined by using respiratory gas exchange and doubly labeled water. Main outcomes included total, resting, and activity energy expenditure and physical activity level (ie, total energy expenditure/resting energy expenditure); baseline anthropometric measures; and annual weight change. RESULTS Mean body mass index (in kg/m(2)) was 23 among the Nigerians and 31 among the African Americans; the prevalences of obesity were 7% and 50%, respectively. After adjustment for body size, no differences in mean activity energy expenditure or physical activity level were observed between the 2 cohorts. In addition, in a mixed-effects, random-coefficient model, interindividual variation in activity energy expenditure at baseline was unrelated to the subsequent pattern of weight change. CONCLUSIONS These data suggest that interindividual levels of energy expended during activity do not have a large influence on age-related trends in adiposity. In addition, contrary to expectations, these data suggest that mean activity energy expenditure does not vary substantially between contemporary social groups with low and high prevalences of obesity.
Stochastic kriging for simulation metamodeling

We extend the basic theory of kriging, as applied to the design and analysis of deterministic computer experiments, to the stochastic simulation setting. Our goal is to provide flexible, interpolation-based metamodels of simulation output performance measures as functions of the controllable design or decision variables. To accomplish this we characterize both the intrinsic uncertainty inherent in a stochastic simulation and the extrinsic uncertainty about the unknown response surface. We use tractable examples to demonstrate why it is critical to characterize both types of uncertainty, derive general results for experiment design and analysis, and present a numerical example that illustrates the stochastic kriging method.
EFFECT OF VITRIFICATION AND CRYOSTORAGE LENGTH ON VIABILITY OF RABBIT EMBRYOS AFTER THAWING

The effects of vitrification and cryostorage length in liquid nitrogen (LN2) on in vitro survival of rabbit embryos were examined. A total of 374 morphological normal embryos collected from 20 superovulated multiparous New Zealand White rabbit were divided into two groups. The first group (n=94) was non-vitrified used as a fresh control group and the second group (n=280) was vitrified and storage in liquid nitrogen at three different times (2 days, 6 months or one year). Regardless the cryostorage length in LN2, post thawing morphological normal appearance rates of cryopreserved rabbit embryos were significantly affected by vitrification procedure. Only 62.1-67.4% from embryo vitrified-thawed appears undamaged. Blastocyst and hatching rates were decreased (P<0.05) in vitrified group compared to the control group, whilst no difference was observed among different storage time in liquid nitrogen. Blastocyst and hatching rates ranged between 51.7-58.9 and 39.847. 4% in vitrified-thawed embryos groups compared to 94.7 and 90.4% in control group. Significance difference was observed in embryo diameter between vitrified groups and control group (123-124 vs. 129 μm). Blastocyst and hatching rates did not vary according to the cryostorage length from 2 days until 1 year in LN2. In a same way, no significant differences were found in diameter of warmed embryos when the cryostorage increases. Our results indicate that compared to the control group, the vitrification process decreases the in vitro embryo development. In contrast, the cryostorage length in liquid nitrogen did not affect the in vitro development of rabbit embryos (≥16-cells stage).
Territorial status and survival in red grouse Lagopus lagopus scoticus: hope for the doomed surplus?

A previous study of survival in territorial and non-territorial red grouse Lagopus lagopus scoticus conducted between 1957 and 1967 found that territorial status in the autumn pre-determined over-winter survival. A very high proportion of territorial birds survived and virtually all non-territorial birds died or emigrated. We tested the hypothesis that over-winter survival was dependent on territorial status within four grouse populations in Scotland between 1986 and 1993. In contrast to the previous study, 66% of non-territorial birds survived over winter compared to approximately 70% of territorial birds. There was no significant effect of territorial status on the survival estimates. Moreover, some of the birds considered to be non-territorial during autumn went on to successfully raise a brood. We suggest that on our study sites, territory ownership in autumn did not greatly influence over-winter survival, and territorial behaviour did not determine breeding density as previously supposed. We postulate differences with other studies may reflect variations in scale and predation pressure.
Neural mechanisms of communicative innovation

Human referential communication is often thought as coding–decoding a set of symbols, neglecting that establishing shared meanings requires a computational mechanism powerful enough to mutually negotiate them. Sharing the meaning of a novel symbol might rely on similar conceptual inferences across communicators or on statistical similarities in their sensorimotor behaviors. Using magnetoencephalography, we assess spectral, temporal, and spatial characteristics of neural activity evoked when people generate and understand novel shared symbols during live communicative interactions. Solving those communicative problems induced comparable changes in the spectral profile of neural activity of both communicators and addressees. This shared neuronal up-regulation was spatially localized to the right temporal lobe and the ventromedial prefrontal cortex and emerged already before the occurrence of a specific communicative problem. Communicative innovation relies on neuronal computations that are shared across generating and understanding novel shared symbols, operating over temporal scales independent from transient sensorimotor behavior.
The Sensory Components of High-Capacity Iconic Memory and Visual Working Memory

Early visual memory can be split into two primary components: a high-capacity, short-lived iconic memory followed by a limited-capacity visual working memory that can last many seconds. Whereas a large number of studies have investigated visual working memory for low-level sensory features, much research on iconic memory has used more “high-level” alphanumeric stimuli such as letters or numbers. These two forms of memory are typically examined separately, despite an intrinsic overlap in their characteristics. Here, we used a purely sensory paradigm to examine visual short-term memory for 10 homogeneous items of three different visual features (color, orientation and motion) across a range of durations from 0 to 6 s. We found that the amount of information stored in iconic memory is smaller for motion than for color or orientation. Performance declined exponentially with longer storage durations and reached chance levels after ∼2 s. Further experiments showed that performance for the 10 items at 1 s was contingent on unperturbed attentional resources. In addition, for orientation stimuli, performance was contingent on the location of stimuli in the visual field, especially for short cue delays. Overall, our results suggest a smooth transition between an automatic, high-capacity, feature-specific sensory-iconic memory, and an effortful “lower-capacity” visual working memory.
Simulation approaches for strongly coupled interconnect systems

Shrinking feature sizes and increasing speeds of operation make interconnect-related effects very relevant for current circuit verification methodologies. Reliable and accurate system verification requires the full analysis of circuits together with the environment that surrounds them, including the common substrate, the packaging structures, and perhaps even board information. In this paper we discuss circuit-level simulation algorithms that enable the analysis of the impact of strongly coupled interconnect structures on nonlinear circuit operation, so as to allow reliable and accurate system verification.
Comparison Between Swarm Intelligence Optimization and Behavioral Learning Concepts Using Artificial Neural Networks ( An over view )

Generally, in nature, non-human creatures perform adaptive behaviors to external environment they are living in. i.e. animals have to keep alive by improving there behavioral ability to be adaptable to there living environmental conditions. This paper presents an investigational comparative overview on adaptive behaviors associated with two diverse (Neural and Non-Neural) biological systems. Namely, intelligent behavioral performance of Ant Colony System (ACS) to reach optimal solution of Traveling Sales-man Problem (TSP). That is investigated versus concepts of adaptive behavioral learning concerned with some animals (cats, dogs ,and rats) , in order to keep survive. More precisely, investigations of behavioral observations tightly related to suggested animals , supposed to obey discipline of biological information processing. So, Artificial Neural Network (ANN) modeling is a relevant tool to investigate such biological system observations. Moreover, an illustrative brief of ACS optimal intelligent behaviors to solve TSP is presented. Additionally, considering effect of noisy environment on learning convergence ,an interesting analogy between both proposed biological systems is introduced. Finally, performance of three learning algorithms shown to be analogously in agreement with behavioral concepts of both suggested biological systems' performance.
Understanding Health Literacy for Strategic Health Marketing: eHealth Literacy, Health Disparities, and the Digital Divide

ABSTRACT Even despite policy efforts aimed at reducing health-related disparities, evidence mounts that population-level gaps in literacy and healthcare quality are increasing. This widening of disparities in American culture is likely to worsen over the coming years due, in part, to our increasing reliance on Internet-based technologies to disseminate health information and services. The purpose of the current article is to incorporate health literacy into an Integrative Model of eHealth Use. We argue for this theoretical understanding of eHealth literacy and propose that macro-level disparities in social structures are connected to health disparities through the micro-level conduits of eHealth literacy, motivation, and ability. In other words, structural inequities reinforce themselves and continue to contribute to healthcare disparities through the differential distribution of technologies that simultaneously enhance and impede literacy, motivation, and ability of different groups (and individuals) in the population. We conclude the article by suggesting pragmatic implications of our analysis.