Miracle-dz/UniFAR-FTUs huggingface dataset:
Moving with or without will: functional neural correlates of alien hand syndrome

Alien hand syndrome is a rare neurological disorder in which movements are performed without conscious will. By using functional magnetic resonance imaging in a patient with alien hand syndrome after right parietal lesion, we could identify brain regions activated during involuntary or voluntary actions with the affected left hand. Alien hand movements involved a selective activation of contralateral primary motor cortex (M1), presumably released from conscious control by intentional planning systems. By contrast, voluntary movements activated a distributed network implicating not only the contralateral right M1 and premotor cortex but also the left inferior frontal gyrus, suggesting an important role of the dominant hemisphere in organizing willed actions. Ann Neurol 2007
Reconstruction of the nigrostriatal dopamine pathway in the adult mouse brain

Transplants of fetal dopamine neurons can be used to restore dopamine neurotransmission in animal models of Parkinson’s disease, as well as in patients with advanced Parkinson’s disease. In these studies the cells are placed in the striatum rather than in the substantia nigra where they normally reside, which may limit their ability to achieve full restoration of motor function. Using a microtransplantation approach, which allows precise placement of small cell deposits directly into the host substantia nigra, and fetal donor cells that express green fluorescent protein under the control of the tyrosine hydroxylase promoter, we show that dopamine neuroblasts implanted into the substantia nigra of adult mice are capable of generating a new nigrostriatal pathway with an outgrowth pattern that matches the anatomy of the intrinsic system. This target‐directed regrowth was closely aligned with the intrinsic striatonigral fibre projection and further enhanced by over‐expression of glial cell line‐derived neurotrophic factor in the striatal target. Results from testing of amphetamine‐induced rotational behaviour suggest, moreover, that dopamine neurons implanted into the substantia nigra are also capable of integrating into the host circuitry at the functional level.
Influences of antigen processing on the expression of the T cell repertoire. Evidence for MHC-specific hindering structures on the products of processing

Two lines of evidence in the current study indicate that antigen processing is a major factor, in addition to MHC binding and T cell repertoire, that determines Ir gene responsiveness and epitope immunodominance. First, immunization with synthetic peptides of myoglobin sequences revealed new reactivities that had not appeared after priming with native myoglobin. For example, B10.S mice (H-2S) immune to equine myoglobin predominantly responded to peptide 102-118, whereas there was little, if any, response to this peptide in B10.BR (H- 2k) mice immunized with native equine myoglobin. However, after immunization with the 102-118 peptide, both strains responded to the peptide. After in vitro restimulation, B10.BR T cells responded as well as B10.S T cells. Similarly, some individual 102-118-specific T cell clones from mice of both haplotypes showed similar dose responses and fine specificity patterns. Thus, low responsiveness to this site is due neither to a hole in the repertoire nor to a failure to bind to the appropriate MHC molecule. An alternative explanation was suggested by the observation that, whereas B10.S T cells from peptide 102-118-immune mice responded almost as well to whole myoglobin as to the peptide, the B10.BR T cells from peptide immune mice, while responding well to peptide, were poorly stimulated by whole myoglobin. Thus, the product of natural processing of equine myoglobin probably has hindering structures in the regions flanking the core epitope 102-118 that interfere with presentation by I-Ak but not I-AS. The second line of evidence that processing of native myoglobin may influence the apparent specificity of the T cell response was obtained using the I-Ad- restricted sperm whale myoglobin 102-118-specific clone 9.27. This clone discriminated readily between whole sperm whale myoglobin and equine myoglobin, but it did not distinguish between peptides corresponding to 102-118 of the sperm whale and equine sequences. This distinction between equine peptide and native equine myoglobin could be overcome by artificial "processing" of equine myoglobin with cyanogen bromide. In both sets of experiments, F1 APCs that present the same epitope well to T cells of another haplotype failed to overcome the defect, which was therefore not due to the availability of different processed cleavage fragments in APC of different haplotypes, as would be expected if there were MHC-linked processing. Thus, the differential responses to peptides versus native molecule for both I-Ad- and I-Ak- restricted clones appeared to depend on the restricting molecule used. (ABSTRACT TRUNCATED AT 400 WORDS)
Diversity and heritability of the maize rhizosphere microbiome under field conditions

The rhizosphere is a critical interface supporting the exchange of resources between plants and their associated soil environment. Rhizosphere microbial diversity is influenced by the physical and chemical properties of the rhizosphere, some of which are determined by the genetics of the host plant. However, within a plant species, the impact of genetic variation on the composition of the microbiota is poorly understood. Here, we characterized the rhizosphere bacterial diversity of 27 modern maize inbreds possessing exceptional genetic diversity grown under field conditions. Randomized and replicated plots of the inbreds were planted in five field environments in three states, each with unique soils and management conditions. Using pyrosequencing of bacterial 16S rRNA genes, we observed substantial variation in bacterial richness, diversity, and relative abundances of taxa between bulk soil and the maize rhizosphere, as well as between fields. The rhizospheres from maize inbreds exhibited both a small but significant proportion of heritable variation in total bacterial diversity across fields, and substantially more heritable variation between replicates of the inbreds within each field. The results of this study should facilitate expanded studies to identify robust heritable plant–microbe interactions at the level of individual polymorphisms by genome wide association, so that plant-microbiome interactions can ultimately be incorporated into plant breeding.
Expression and activity of L-Myc in normal mouse development

To determine the role of L-Myc in normal mammalian development and its functional relationship to other members of the Myc family, we determined the normal patterns of L-myc gene expression in the developing mouse by RNA in situ hybridization and assessed the phenotypic impact of L-Myc deficiency produced through standard gene targeting methodology. L-myc transcripts were detected in the developing kidney and lung as well as in both the proliferative and the differentiative zones of the brain and neural tube. Despite significant expression of L-myc in developing mouse tissue, homozygous null L-myc mice were found to be viable, reproductively competent, and represented in expected frequencies from heterozygous matings. A detailed histological survey of embryonic and adult tissues, characterization of an embryonic neuronal marker, and measurement of cellular proliferation in situ did not reveal any congenital abnormalities. The lack of an apparent phenotype associated with L-Myc deficiency indicates that L-Myc is dispensable for gross morphological development and argues against a unique role for L-Myc in early central nervous system development as had been previously suggested. Although overlapping expression patterns among myc family members raise the possibility of complementation of L-Myc deficiency by other Myc oncoproteins, compensatory changes in the levels of c- and/or N-myc transcripts were not detected in homozygous null L-myc mice.
Examining the Overlap

Scholars have long been aware of the advantages of social capital to individual performance. It remains unclear whether these advantages reflect the effects of relationships in which people discuss only work-related issues, or whether they are attributable to the effects of multiplex relationships, in which people discuss work-related and non-work-related issues. To investigate this question, we conducted two studies using network analysis: a cross-sectional study of specialty bank employees and a longitudinal study of middle managers enrolled in an MBA course. Multiplex relationships consistently predicted performance advantages in both samples, whereas work-focused ties that excluded a social dimension did not. Furthermore, when individuals maintained too many multiplex relationships, performance returns diminished. These findings demonstrate that the network literature may benefit from greater specificity on relational content and more attention to the consequences of overlapping networks, in the form of multiplex ties.
Generalized Kadomtsev-Petviashvili equation with an infinite dimensional symmetry algebra

A generalized Kadomtsev-Petviashvili equation, describing water waves in oceans of varying depth, density and vorticity is discussed. A priori, it involves 9 arbitrary functions of one, or two variables. The conditions are determined under which the equation allows an infinite dimensional symmetry algebra. This algebra can involve up to three arbitrary functions of time. It depends on precisely three such functions if and only if it is completely integrable.
HD 181068: A Red Giant in a Triply Eclipsing Compact Hierarchical Triple System

The Kepler satellite reveals details of the oscillations patterns of an evolved star in an exotic triple-star system. Hierarchical triple systems comprise a close binary and a more distant component. They are important for testing theories of star formation and of stellar evolution in the presence of nearby companions. We obtained 218 days of Kepler photometry of HD 181068 (magnitude of 7.1), supplemented by ground-based spectroscopy and interferometry, which show it to be a hierarchical triple with two types of mutual eclipses. The primary is a red giant that is in a 45-day orbit with a pair of red dwarfs in a close 0.9-day orbit. The red giant shows evidence for tidally induced oscillations that are driven by the orbital motion of the close pair. HD 181068 is an ideal target for studies of dynamical evolution and testing tidal friction theories in hierarchical triple systems.
Model Averaging and Value-at-Risk Based Evaluation of Large Multi-Asset Volatility Models for Risk Management

This paper considers the problem of model uncertainty in the case of multi-asset volatility models and discusses the use of model averaging techniques as a way of dealing with the risk of inadvertently using false models in portfolio management. In particular, it is shown that under certain conditions portfolio returns based on an average model will be more fat-tailed than if based on an individual underlying model with the same average volatility. Evaluation of volatility models is also considered and a simple Value-at-Risk (VaR) diagnostic test is proposed for individual as well as 'average' models and its exact and asymptotic properties are established. The model averaging idea and the VaR diagnostic tests are illustrated by an application to portfolios of daily returns based on twenty two of Standard & Poor's 500 industry group indices over the period January 2, 1995 to October 13, 2003, inclusive.
Self-Organizing Maps and Scale-Invariant Maps in Echo State Networks

In the last years a new approach for designing and training artificial Recurrent Neural Network (RNN) have been investigated under the name of Reservoir Computing (RC). One important model in the field of RC has been developed under the name of Echo State Networks (ESNs). Traditionally, an ESN uses a RNN with random untrained parameters called the reservoir. The Self-Organizing Map (SOM) and the Scale Invariant Map (SIM) are two methods of topographic maps which have been used in different tasks of unsupervised learning. Recently, new works show that is effective using the SOM to set values of the reservoir parameters. The primary goal of this work is to improve the performance of ESN using the another method SIM. Here, we present the description of these two topographic map methods and the way to apply its on the ESN initialization. We specify an original algorithm to set the reservoir weights using the SOM and SIM. Furthermore, we use artificial data set to compare the use of topographic maps to initialize the ESN with random initialization. Overall, our results show the aptitude of SIM and SOM to set the reservoir parameters.
Digital Audio Broadcasting - radio now and for the future

Recently, some debate has started on the role that DAB could play in the future information highway. The present situation is characterized by the convergence of computer, telecommunication and broadcasting technologies, and the divergence of different delivery and storage media which use advanced digital signal-processing techniques. Consumers are overwhelmed by the new electronic gadgets which appear almost daily on the market, and they are astonished by the radically new technical innovations that are being designed to change their life-long habits. Even the broadcasting sector itself is facing profound changes, particularly a growing competition between the public and the private broadcasters.
The Supplemental Nutrition Assistance Program and Food Insecurity

This chapter reviews recent theory and empirical evidence regarding the effect of SNAP on food insecurity and replicates the modelling strategies used in the empirical literature. The authors find that recent evidence suggesting an ameliorative effect of SNAP on food insecurity may not be robust to specification choice or data. Most specifications mirror the existing literature in finding a positive association of food insecurity with SNAP participation. Two-stage least squares and control function methods do show that SNAP reduces food insecurity, but effects are not consistent across sub-populations and are not always statistically significant. * Earlier versions of this paper were presented at the “Five Decades of Food Stamps” research conference, September 20, 2013 in Washington, DC and at the 16 th Labour Econometrics Workshop, August 10, 2013 in Melbourne, Australia. The authors thank John Pepper, Steven Stillman, and conference participants for helpful comments. The views expressed in this paper are those of the authors and not necessarily those of the ERS or USDA. 1 The Supplemental Nutrition Assistance Program and Food Insecurity
Agmon-Type Exponential Decay Estimates for Pseudodifferential Operators

We study generalizations of Agmon-type estimates on eigenfunctions for Schrodinger operators. In the first part, we prove an exponential decay estimate on eigenfunctions for a class of pseudodif- ferential operators. In the second part, we study the semiclassical limit of ¯-pseudodifferential operators, and exponential decay estimates on eigenfunctions and Briet-Combes-Duclos-type resolvent estimates are proved. In this paper, we study exponential decay estimates of eigenfunctions and semiclassical resolvent estimates for a class of pseudodifferential oper- ators. At first we study exponential decay of eigenfunctions at infinity. We consider operators of the following form:
Paracoccidioides brasiliensis Vaccine Formulations Based on the gp43-Derived P10 Sequence and the Salmonella enterica FliC Flagellin

ABSTRACT Paracoccidioidomycosis (PCM) is a systemic granulomatous disease caused by the dimorphic fungus Paracoccidioides brasiliensis. Anti-PCM vaccine formulations based on the secreted fungal cell wall protein (gp43) or the derived P10 sequence containing a CD4+ T-cell-specific epitope have shown promising results. In the present study, we evaluated new anti-PCM vaccine formulations based on the intranasal administration of P. brasiliensis gp43 or the P10 peptide in combination with the Salmonella enterica FliC flagellin, an innate immunity agonist binding specifically to the Toll-like receptor 5, in a murine model. BALB/c mice immunized with gp43 developed high-specific-serum immunoglobulin G1 responses and enhanced interleukin-4 (IL-4) and IL-10 levels. On the other hand, mice immunized with recombinant purified flagellins genetically fused with P10 at the central hypervariable domain, either flanked or not by two lysine residues, or the synthetic P10 peptide admixed with purified FliC elicited a prevailing Th1-type immune response based on lung cell-secreted type 1 cytokines. Mice immunized with gp43 and FliC and intratracheally challenged with P. brasiliensis yeast cells had increased fungal proliferation and lung tissue damage. In contrast, mice immunized with the chimeric flagellins and particularly those immunized with P10 admixed with FliC reduced P. brasiliensis growth and lung damage. Altogether, these results indicate that S. enterica FliC flagellin modulates the immune response to P. brasiliensis P10 antigen and represents a promising alternative for the generation of anti-PCM vaccines.
Increased BDNF levels and NTRK2 gene association suggest a disruption of BDNF/TrkB signaling in autism

The brain‐derived neurotrophic factor (BDNF), a neurotrophin fundamental for brain development and function, has previously been implicated in autism. In this study, the levels of BDNF in platelet‐rich plasma were compared between autistic and control children, and the role of two genetic factors that might regulate this neurotrophin and contribute to autism etiology, BDNF and NTRK2, was examined. We found that BDNF levels in autistic children (n = 146) were significantly higher (t = 6.82; P < 0.0001) than in control children (n = 50) and were positively correlated with platelet serotonin distribution (r = 0.22; P = 0.004). Heritability of BDNF was estimated at 30% and therefore candidate genes BDNF and NTRK2 were tested for association with BDNF level distribution in this sample, and with autism in 469 trio families. Genetic association analysis provided no evidence for BDNF or NTRK2 as major determinants of the abnormally increased BDNF levels in autistic children. A significant association with autism was uncovered for six single nucleotide polymorphisms (SNPs) [0.004 (Z(1df) = 2.85) < P < 0.039 (Z(1df) = 2.06)] and multiple haplotypes [5 × 10−4(χ(3df) = 17.77) < P < 0.042 (χ(9df) = 17.450)] in the NTRK2 gene. These results do not withstand correction for multiple comparisons, however, reflect a trend toward association that supports a role of NTRK2 as a susceptibility factor for the disorder. Genetic variation in the BDNF gene had no impact on autism risk. By substantiating the previously observed increase in BDNF levels in autistic children in a larger patient set, and suggesting a genetic association between NTRK2 and autism, this study integrates evidence from multiple levels supporting the hypothesis that alterations in BDNF/tyrosine kinase B (TrkB) signaling contribute to an increased vulnerability to autism.
Testing Volatility in Nigeria Stock Market using GARCH Models

The contributions of error distributions have been ignored while modeling stock market volatility in Nigeria and studies have shown that the application of appropriate error distribution in volatility model enhances efficiency of the model. Using Nigeria All Share Index from January 2, 2008 to February 11, 2013, this study estimates first order symmetric and asymmetric volatility models each in Normal, Student’s-t and generalized error distributions with the view to selecting the best forecasting volatility model with the most appropriate error distribution. The results suggest the presence of leverage effect meaning that volatility responds more to bad news than it does to equal magnitude of good news. The news impact curves validate this result. The last twenty eight days out-of-sample forecast adjudged Power-GARCH (1, 1, 1) in student’s t error distribution as the best predictive model based on Root Mean Square Error and Theil Inequality Coefficient. The study therefore recommends that empirical works should consider alternative error distributions with a view to achieving a robust volatility forecasting model that could guarantee a sound policy decisions.
Progress in Research and Development on Hybrid Rice: A Super-domesticate in China

Background China has been successful in breeding hybrid rice strains, but is now facing challenges to develop new hybrids with high-yielding potential, better grain quality, and tolerance to biotic and abiotic stresses. This paper reviews the most significant advances in hybrid rice breeding in China, and presents a recent study on fine-mapping quantitative trait loci (QTLs) for yield traits. Scope By exploiting new types of male sterility, hybrid rice production in China has become more diversified. The use of inter-subspecies crosses has made an additional contribution to broadening the genetic diversity of hybrid rice and played an important role in the breeding of super rice hybrids in China. With the development and application of indica-inclined and japonica-inclined parental lines, new rice hybrids with super high-yielding potential have been developed and are being grown on a large scale. DNA markers for subspecies differentiation have been identified and applied, and marker-assisted selection performed for the development of restorer lines carrying disease resistance genes. The genetic basis of heterosis in highly heterotic hybrids has been studied, but data from these studies are insufficient to draw sound conclusions. In a QTL study using stepwise residual heterozygous lines, two linked intervals harbouring QTLs for yield traits were resolved, one of which was delimited to a 125-kb region. Conclusions Advances in rice genomic research have shed new light on the genetic study and germplasm utilization in rice. Molecular marker-assisted selection is a powerful tool to increase breeding efficiency, but much work remains to be done before this technique can be extended from major genes to QTLs.
Ontological queries: Rewriting and optimization

Ontological queries are evaluated against an enterprise ontology rather than directly on a database. The evaluation and optimization of such queries is an intriguing new problem for database research. In this paper we discuss two important aspects of this problem: query rewriting and query optimization. Query rewriting consists of the compilation of an ontological query into an equivalent query against the underlying relational database. The focus here is on soundness and completeness. We review previous results and present a new rewriting algorithm for rather general types of ontological constraints (description logics). In particular, we show how a conjunctive query (CQ) against an enterprise ontology can be compiled into a union of conjunctive queries (UCQ) against the underlying database. Ontological query optimization, in this context, attempts to improve this process so to produce possibly small and cost-effective output UCQ. We review existing optimization methods, and propose an effective new method that works for Linear Datalog±, a description logic that encompasses well-known description logics of the DL-Lite family.