Miracle-dz/UniFAR-FTUs huggingface dataset:
Dorsolateral Prefrontal Cortex GABA Concentration in Humans Predicts Working Memory Load Processing Capacity

The discovery of neural mechanisms of working memory (WM) would significantly enhance our understanding of complex human behaviors and guide treatment development for WM-related impairments found in neuropsychiatric conditions and aging. Although the dorsolateral prefrontal cortex (DLPFC) has long been considered critical for WM, we still know little about the neural elements and pathways within the DLPFC that support WM in humans. In this study, we tested whether an individual's DLPFC gamma-aminobutryic acid (GABA) content predicts individual differences in WM task performance using a novel behavioral approach. Twenty-three healthy adults completed a task that measured the unique contribution of major WM components (memory load, maintenance, and distraction resistance) to performance. This was done to address the possibility that components have differing GABA dependencies and the failure to parse WM into components would lead to missing true associations with GABA. The subjects then had their DLPFC GABA content measured by single-voxel proton magnetic spectroscopy. We found that individuals with lower DLPFC GABA showed greater performance degradation with higher load, accounting for 31% of variance, p(corrected) = 0.015. This relationship was component, neurochemical, and brain region specific. DLPFC GABA content did not predict performance sensitivity to other components tested; DLPFC glutamate + glutamine and visual cortical GABA content did not predict load sensitivity. These results confirm the involvement of DLPFC GABA in WM load processing in humans and implicate factors controlling DLPFC GABA content in the neural mechanisms of WM and its impairments. SIGNIFICANCE STATEMENT This study demonstrated for the first time that the amount of gamma-aminobutryic acid (GABA), the major inhibitory neurotransmitter of the brain, in an individual's prefrontal cortex predicts working memory (WM) task performance. Given that WM is required for many of the most characteristic cognitive and behavioral capabilities in humans, this finding could have a significant impact on our understanding of the neural basis of complex human behavior. Furthermore, this finding suggests that efforts to preserve or increase brain GABA levels could be fruitful in remediating WM-related deficits associated with neuropsychiatric conditions.
Isn't It Ironic? An Electrophysiological Exploration of Figurative Language Processing

Although the neurocognitive processes underlying the comprehension of figurative language, especially metaphors and idioms, have been studied extensively, less is known about the processing of irony. In two experiments using event-related brain potentials (ERPs), we examined the types of cognitive processes involved in the comprehension of ironic and literal sentences and their relative time course. The experiments varied in modality (auditory, visual), task demands (comprehension task vs. passive reading), and probability of stimulus occurrence. ERPs consistently revealed a large late positivity (i.e., P600 component) in the absence of an N400 component for irony compared to equivalent literal sentences independent of modality. This P600 was shown to be unaffected by the factors task demands and probability of occurrence. Taken together, the findings suggest that the observed P600 is related to irony processing, and might be a reflection of pragmatic interpretation processes. During the comprehension of irony, no semantic integration difficulty arises (absence of N400), but late inferential processes appear to be necessary for understanding ironic meanings (presence of P600). This finding calls for a revision of current models of figurative language processing.
The OKL4 microvisor: convergence point of microkernels and hypervisors

We argue that recent hypervisor-vs-microkernel discussions completely miss the point. Fundamentally, the two classes of systems have much in common, and provide similar abstractions. We assert that the requirements for both types of systems can be met with a single set of abstractions, a single design, and a single implementation. We present partial proof of the existence of this convergence point, in the guise of the OKL4 microvisor, an industrial-strength system designed as a highly-efficient hypervisor for use in embedded systems. It is also a third-generation microkernel that aims to support the construction of similarly componentised systems as classical microkernels. Benchmarks show that the microvisor's virtualization performance is highly competitive.
Killing of Kras-Mutant Colon Cancer Cells via Rac-Independent Actin Remodeling by the βGBP Cytokine, a Physiological PI3K Inhibitor Therapeutically Effective In Vivo

Activating mutations in Kras are the most frequent mutations in human cancer. They define a subset of patients who do not respond to current therapies and for whom prognosis is poor. Oncogenic Kras has been shown to deregulate numerous signaling pathways of which the most intensively studied are the Ras/extracellular signal–regulated kinase cascade and the phosphoinositide 3-kinase (PI3K)/Akt cascade. However, to date, there are no effective targeted therapies in the clinic against Kras-mutant cancers. Here, we report that the β-galactoside–binding protein (βGBP) cytokine, a physiologic inhibitor of class I PI3Ks, is a potent activator of apoptosis in Kras-mutant colorectal cancer cells, even when coharboring mutant-activated PIK3CA. Our study unveils an elective route to intrinsic and extrinsic apoptosis, which involves the cytoskeleton. Early events are inhibition of PI3K activity and Rac-independent actin rearrangement assignable to phosphoinositide changes at the plasma membrane. Cyclin E deregulation, arrest of DNA synthesis, and checkpoint kinase 2 activation underscore events critical to the activation of an intrinsic apoptotic program. Clustering of CD95/Fas death receptors underscore events critical to the activation of extrinsic apoptosis. In nude mice, we present the first evidence that xenograft tumor development is strongly inhibited by Hu-r-βGBP. Taken together, our results open a new therapeutic opportunity to a subset of patients refractive to current treatments. This first demonstration of therapeutic efficacy against Kras-mutant colon cancer suggests that Hu-r-βGBP may also be therapeutically effective against other cancers harboring activating Ras mutations as well as PIK3CA mutations. Mol Cancer Ther; 11(9); 1884–93. ©2012 AACR.
Notes on supersymmetry enhancement of ABJM theory

We study the supersymmetry enhancement of ABJM theory. Starting from a = 2 supersymmetric Chern-Simons matter theory with gauge group U(2) × U(2) which is a truncated version of the ABJM theory, we find by using the monopole operator that there is additional = 2 supersymmetry related to the gauge group. We show this additional supersymmetry can combine with = 6 supersymmetry of the original ABJM theory to an enhanced = 8 SUSY with gauge group U(2) × U(2) in the case k = 1,2. We also discuss the supersymmetry enhancement of the ABJM theory with U(N) × U(N) gauge group and find a condition which should be satisfied by the monopole operator.
A Comparative Evaluation of Exploration Strategies and Heuristics to Improve Them

Exploration strategies play an important role in influencing the performance of an autonomous mobile robot exploring and mapping an unknown environment. Although several exploration strategies have been proposed in the last years, their experimental evaluation and comparison are still largely unaddressed. In this paper, we quantitatively evaluate exploration strategies by experimentally comparing, in a simulation setting, a representative sample of techniques taken from literature. From a broader perspective, our work also contributes to the development of good experimental methodologies in the field of autonomous mobile robotics by promoting the principles of comparison, reproducibility, and repeatability of experiments.
Excitation of discrete and continuous spectrum for a surface conductivity model of graphene

Excitation of the discrete (surface-wave/plasmon propagation mode) and continuous (radiation modes) spectrum by a point current source in the vicinity of graphene is examined. The graphene is represented by an infinitesimally thin, local, and isotropic two-sided conductivity surface. The dynamic electric field due to the point source is obtained by complex-plane analysis of Sommerfeld integrals, and is decomposed into physically relevant contributions. Frequencies considered are in the GHz through mid-THz range. As expected, the TM discrete surface wave (surface plasmon) can dominate the response along the graphene layer, although this depends on the source and observation point location and frequency. In particular, the TM discrete mode can provide the strongest contribution to the total electric field in the upper GHz and low THz range, where the surface conductivity is dominated by its imaginary part and the graphene acts as a reactive (inductive) sheet. V C 2011 American Institute of Physics. [doi:10.1063/1.3662883]
End-to-End Large Scale Machine Learning with KeystoneML

The rise of data center computing and Internet-connected devices has led to an unparalleled explosion in the volumes of data collected across a multitude of industries and academic disciplines.This data serves as fuel for statistical machine learning techniques that in turn enable some of today's most advanced applications including those powered by image classification, speech recognition, and natural language understanding, which we broadly term machine learning applications.Unfortunately, until recently the tools and techniques used to leverage recent advances in machine learning at the scales demanded by modern datasets, and thus develop these applications, have been available only to experts in fields such as distributed computing, statistics, and optimization. I describe my efforts to render these tools accessible to a broader audience of application developers, and further demonstrate that by taking a holistic approach and capturing end-to-end high level specifications of machine learning applications the systems I present here can make novel, high impact optimizations to decrease resource consumption while simultaneously increasing throughput. These improvements are designed to decrease ML application development time, increase quality, and increase machine learning application developer productivity. I demonstrate the viability of these optimizations via experiments on a number of real-world applications in domains such as collaborative filtering, computer vision, and natural language processing.Many of the ideas presented in this thesis have already had practical impact as embodied in the open source software packages KeystoneML and Apache Spark MLlib.
Bioavailability of Glucosinolates and Their Breakdown Products: Impact of Processing

Glucosinolates are a large group of plant secondary metabolites with nutritional effects, and are mainly found in cruciferous plants. After ingestion, glucosinolates could be partially absorbed in their intact form through the gastrointestinal mucosa. However, the largest fraction is metabolized in the gut lumen. When cruciferous are consumed without processing, myrosinase enzyme present in these plants hydrolyzes the glucosinolates in the proximal part of the gastrointestinal tract to various metabolites, such as isothiocyanates, nitriles, oxazolidine-2-thiones, and indole-3-carbinols. When cruciferous are cooked before consumption, myrosinase is inactivated and glucosinolates transit to the colon where they are hydrolyzed by the intestinal microbiota. Numerous factors, such as storage time, temperature, and atmosphere packaging, along with inactivation processes of myrosinase are influencing the bioavailability of glucosinolates and their breakdown products. This review paper summarizes the assimilation, absorption, and elimination of these molecules, as well as the impact of processing on their bioavailability.
Adverse Events Post Smallpox-Vaccination: Insights from Tail Scarification Infection in Mice with Vaccinia virus

Adverse events upon smallpox vaccination with fully-replicative strains of Vaccinia virus (VACV) comprise an array of clinical manifestations that occur primarily in immunocompromised patients leading to significant host morbidity/mortality. The expansion of immune-suppressed populations and the possible release of Variola virus as a bioterrorist act have given rise to concerns over vaccination complications should more widespread vaccination be reinitiated. Our goal was to evaluate the components of the host immune system that are sufficient to prevent morbidity/mortality in a murine model of tail scarification, which mimics immunological and clinical features of smallpox vaccination in humans. Infection of C57BL/6 wild-type mice led to a strictly localized infection, with complete viral clearance by day 28 p.i. On the other hand, infection of T and B-cell deficient mice (Rag1 −/−) produced a severe disease, with uncontrolled viral replication at the inoculation site and dissemination to internal organs. Infection of B-cell deficient animals (µMT) produced no mortality. However, viral clearance in µMT animals was delayed compared to WT animals, with detectable viral titers in tail and internal organs late in infection. Treatment of Rag1 −/− with rabbit hyperimmune anti-vaccinia serum had a subtle effect on the morbidity/mortality of this strain, but it was effective in reduce viral titers in ovaries. Finally, NUDE athymic mice showed a similar outcome of infection as Rag1 −/−, and passive transfer of WT T cells to Rag1 −/− animals proved fully effective in preventing morbidity/mortality. These results strongly suggest that both T and B cells are important in the immune response to primary VACV infection in mice, and that T-cells are required to control the infection at the inoculation site and providing help for B-cells to produce antibodies, which help to prevent viral dissemination. These insights might prove helpful to better identify individuals with higher risk of complications after infection with poxvirus.
Performance Monitoring and Error Processing During a Lexical Decision Task in Patients With Parkinson’s Disease

To evaluate performance monitoring and error processing during lexical decision tasks, event-related potentials (ERPs) obtained by time-locked to correct and error responses were studied in 17 Parkinson’s disease (PD) patients without dementia and 15 healthy elderly participants. The amplitude of error negativity (Ne) obtained by averages time-locked to error response was significantly reduced in the PD patients, whereas there were no significant differences in the negative component for the correct response (Nc) between the two participant groups. The amplitude of the error positivity (Pe) and correct positivity (Pc) after the Ne and Nc components was also significantly reduced in the PD patients. The PD patients showed significantly slower reaction times and higher error rates. The reduced amplitude of the Ne, Pe, and Pc components in the PD patients suggested impaired performance and conflict monitoring as well as abnormal response strategy adjustments and deviant in later error monitoring processes associated with emotional, conscious evaluation of the error.
The Role of Interleukin-1 Receptor-Associated Kinases in Vogt-Koyanagi-Harada Disease

Purpose To explore whether IRAK1 and IRAK4 are involved in the pathogenesis of Vogt-Koyanagi-Harada (VKH) disease. Methods Thirty-nine VKH patients and thirty-two healthy controls were included in this study. The mRNA levels of IRAK1 and IRAK4 from active VKH patients, inactive VKH patients, and normal controls in peripheral blood mononuclear cells (PBMCs) were detected using real-time quantitative PCR. CD4+T cells were purified from PBMCs obtained from active VKH patients and normal controls. The effect of IRAK1/4 inhibition on CD4+T cell proliferation following stimulation with IL-18 or IL-1β was measured using a modified MTT assay. CD4+T cell expression of IFN-γ and IL-17 were detected by flow cytometry (FCM) and enzyme-linked immunosorbent assay (ELISA). The effect of IRAK1/4 inhibition on NF-κB, STAT1, and STAT3 activation was detected by FCM. Results The mRNA levels of IRAK1 and IRAK4 were both significantly increased in active VKH patients compared to inactive VKH patients and healthy controls. No difference in the IRAK1 or IRAK4 mRNA level could be detected between inactive patients and healthy controls. After incubation with IRAK1/4 inhibitor, the proliferation of CD4+T cells was inhibited both in the active VKH patients and in the healthy controls. IRAK1/4 inhibition was also associated with a decreased expression of IFN-γ and IL-17. Phosphorylation of NF-κB, STAT1, and STAT3 in CD4+T from healthy controls was significantly decreased after inhibition of IRAK1/4. Conclusions High mRNA levels of IRAK1 and IRAK4 correlated with VKH disease activity. IRAK1 and IRAK4 play a role in the activation and proliferation of CD4+T cells and the higher expression observed in VKH may contribute to the pathogenesis of this blinding condition.
Forethought in Youth with Attention Deficit/Hyperactivity Disorder: An fMRI Study of Sex-Specific Differences

Objective. The majority of studies investigating neurocognitive processing in attention deficit/hyperactivity disorder (ADHD) have been conducted on male participants. Few studies evaluated females or examined sex differences. Among various cognitive anomalies in ADHD, deficit in forethought seems particularly important as children with ADHD often fail to adequately use previous information in order to prepare for responses. The main goal of this study was to assess sex-specific differences in behavioral and neural correlates of forethought in youth with ADHD. Methods. 21 typically developing (TD) youth and 23 youth with ADHD were asked to judge whether two pictures told a congruent or incongruent story. Reaction time, performance accuracy, and cerebral activations were recorded during functional magnetic resonance imaging (fMRI). Results. Significant sex-specific differences in cerebral activations appeared, despite equivalent performance. Relative to the boys TD participants, boys with ADHD had extensive bilateral frontal and parietal hypoactivations, while girls with ADHD demonstrated more scattered hypoactivations in the right cerebral regions. Conclusion. Present results revealed that youth with ADHD exhibit reduced cerebral activations during forethought. Nevertheless, the pattern of deficits differed between boys and girls, suggesting the use of a different neurocognitive strategy. This emphasizes the importance of including both genders in the investigations of ADHD.
Power Balancing in an Emulated Exascale Environment

Optimal utilization of power is a major concern for HPC, and is one of the focus points on the path towards exascale and approaches range from chip level to facility wide solutions. In order to evaluate the implications of these approaches and their impact on future system design, we need to understand their interaction with applications as well as their performance impact. In this work we describe the GREMLIN framework, a general framework to emulate system changes on existing platforms by resource restriction or event injection. We use this framework to understand the behavior of applications executed on power limited systems and to evaluate a solution for one of the problems resulting from operating under a power limit: the translation of manufacturing variability into heterogeneous performance, as observed in power limited HPC environments. We show that in a power limited environment manufacturing variability is a key source of performance imbalances and thus non-optimal execution. We propose a Power Balancer for redistribution of unused power and show performance gains of up to 1.5% at small to medium node counts.
Enhancement and Denial in Socially Desirable Responding

One research tradition has distinguished self-deception, the tendency to give favorably biased but honestly held self-descriptions impression management, the tendency to give favorable selfdescriptions to others. A 2nd tradition has distinguished enhancement, the claiming of positive attributes, from denial, the repudiation of negative attributes. The 2 distinctions were evaluated jointly in 3 studies. Factor analyses showed that impression management items (both enhancement and denial) loaded together. Self-deception items split up: Enhancement items formed a 2nd factor, whereas denial items fell closer to the impression management factor. Of the 4 types, self-deceptive enhancement best predicted adjustment. These results clarify the constructs of enhancement and denial: The critical distinction is not simply one of keying direction but whether the item content refers to a positive or negative attribute.
Nonparametric Estimation of the Innovation Variance and Judging the Fit of ARMA Models

The innovation (intrinsic, one-step ahead prediction error) variance, σ 2 , of a stationary process is of central importance in the theory and practice of time series analysis, and there are several time-domain parametric methods available for its estimation, cf. Brockwell and Davis (1991, §8.7) and Pourahmadi (2001). These estimators are useful in several statistical tasks such as constructing prediction intervals for the unknown future values and developing order selection criteria, such as the Akaike's information criteria (AIC). It is also a powerful tool for understanding the deeper aspects of time series models and data. For instance, Davis and Jones (1968) introduced a statistic based on the difference between the 1
Fishy Behavior: Evaluating Preferences for Honesty in the Marketplace

The role of the market in shaping various forms of behavior is perhaps the fundamental issue facing behavioral economics today. This study conducts a field experiment in fish markets of Kolkata, India that are prone to widespread cheating by sellers and examines whether, and to what extent, intrinsic preferences for honesty influence outcomes in actual market transactions. Exploiting systematic exogenous variations in fish prices, an indicator of marginal economic benefit from cheating, the experiment uncovers an inverted U-shaped relationship between the fish price and the amount cheated. The results suggest that tastes for honesty can mitigate fraud in natural markets.
Ant-based clustering: a comparative study of its relative performance with respect to k-means, average link and 1d-som

Ant-based clustering and sorting is a nature-inspired heuristic for general clustering tasks. It has been applied variously, from problems arising in commerce, to circuit design, to text-mining, all with some promise. However, although early results were broadly encouraging, there has been very limited analytical evaluation of antbased clustering. Toward this end, we first propose a scheme that enables unbiased interpretation of the clustering solutions obtained, and then use this to conduct a full evaluation of the algorithm. Our analysis uses three sets each of real and artificial data, and four distinct analytical measures. These results are compared with those obtained using established clustering techniques and we find evidence that ant-based clustering is a robust and viable alternative.