Miracle-dz/UniFAR-FTUs huggingface dataset:
Spectral clustering for feature-based metric maps partitioning in a hybrid mapping framework

Hybrid maps combine metric and topological information for efficiently managing large-scale environments. In a feature-based mapping framework, this paper describes the application of a spectral clustering approach for automatically detecting the transitions between subsequently traversed local maps. Contrary to recently proposed approaches, this algorithm considers each individual map feature as a node of a graph whose edges link two nodes if they are simultaneously observed. Thus, given a sequence of observations, an auxiliary graph is incrementally built whose edges carry non-negative weights according to the locality of the features. Given a feature, its locality defines the set of features that has been observed simultaneously with it at least once. At each execution of the mapping approach, the feature-based graph is split into two subgraphs using a normalized spectral clustering algorithm. If the graph partition is validated, the algorithm determines that the robot is moving into a new area and a new local map is generated. We have tested the proposed approach in real environments where features are obtained using 2D laser sensors or vision. Experimental results demonstrate the performance of the proposal.
Psychological Changes in Watching a Sport: A Case Study of the 2010 FIFA World Cup South Africa^(TM)

The viewership ratings of the Japanese team's games at Federation Internationale de Football Association (FIFA) World Cup South Africa 2010^(TM) broke records. This study focused on spectators' emotions and aims to verify the emotions experienced by viewers before and after watching the FIFA World Cup South Africa 2010^(TM) and to experimentally investigate how these emotions fluctuate after watching mediated sports. A questionnaire survey was conducted twice with the same subjects (n=10). All the subjects watched two live matches (Japan vs. Netherlands and Japan vs. Demark) together via a projector in a university laboratory. A two-way ANOVA was performed to analyze the subjects' emotions before and after the games and the outcomes of the games. In addition, Bonferroni tests were performed. The results showed that watching Japan win a game aroused positive/strong emotions (excitement, delight, activity, and motivation), positive/moderate emotions (refreshment, pride, and affection), and a relatively neutral/strong emotion (surprise). Furthermore, the results revealed that watching Japan lose a game aroused negative/strong emotions (anger and hostility), negative/moderate emotions (dissatisfaction and discouragement), and negative/weak emotions (depression, tiredness, and anxiety). The discussion mainly focuses on emotions such as delight, a positive/strong emotion; pride, a positive/moderate emotion, and on emotions affecting psychological health such as refreshment and tiredness.
The effects of linear distance and working memory on the processing of gender agreement in Spanish

This study investigates the effects of linear distance and working memory on native and advanced L2 Spanish speakers’ on-line sensitivity to violations of grammatical gender. Using eye-tracking, participants were tested on agreement violations on predicative adjectives located one, four, and seven words away from a controller noun. The results revealed that linear distance influenced both groups’ sensitivity to gender anomalies, albeit at different points on the linear distance continuum. Furthermore, each group’s sensitivity to gender violations emerged at different points in the eye-movement record. The reading span analysis revealed that the advanced learners’ sensitivity to gender errors during first-pass reading was moderated by individual differences in working memory. The results are discussed in light of the Shallow Structure Hypothesis (Clahsen a Felser, 2006b).
Inflammatory Monocytes and Neutrophils Are Licensed to Kill during Memory Responses In Vivo

Immunological memory is a hallmark of B and T lymphocytes that have undergone a previous encounter with a given antigen. It is assumed that memory cells mediate better protection of the host upon re-infection because of improved effector functions such as antibody production, cytotoxic activity and cytokine secretion. In contrast to cells of the adaptive immune system, innate immune cells are believed to exhibit a comparable functional effector response each time the same pathogen is encountered. Here, using mice infected by the intracellular bacterium Listeria monocytogenes, we show that during a recall bacterial infection, the chemokine CCL3 secreted by memory CD8+ T cells drives drastic modifications of the functional properties of several populations of phagocytes. We found that inflammatory ly6C+ monocytes and neutrophils largely mediated memory CD8+ T cell bacteriocidal activity by producing increased levels of reactive oxygen species (ROS), augmenting the pH of their phagosomes and inducing antimicrobial autophagy. These events allowed an extremely rapid control of bacterial growth in vivo and accounted for protective immunity. Therefore, our results provide evidence that cytotoxic memory CD8+ T cells can license distinct antimicrobial effector mechanisms of innate cells to efficiently clear pathogens.
Diversification Benefits of Real Estate Investment Trusts in Dubai

This paper examines whether unleveraged REITs in Dubai help optimize the risk/return characteristics of a mixed asset portfolio. The performance is also analyzed using Shariah compliant REIT structures incorporating discussion of the performance of REITs operating in a zero-tax environment within the Modigliani and Miller (1958) framework. The empirical results confirms that investment in real estate via Dubai REITs would have substantially improved the performance of a mixed asset portfolio through its ability to hedge inflation, enhance returns and reduce volatility. These characteristics persisted under sensitivity testing. Furthermore, the conclusions find that leveraging the REIT produced increased risk without providing risk/return benefits.
Comparison of a Clinic-Based ELISA Test Kit with the Immunofluorescence Antibody Test for Assaying Leishmania infantum Antibodies in Dogs

This study compares a rapid Immunospecific Kalazar Canine Rapid Spot IF with the gold standard test (indirect fluorescent antibody test (IFAT)) for detection of Leishmania infantum specific IgG serum antibodies in naturally exposed dogs. Serum samples were obtained from 89 healthy dogs and dogs affected by canine leishmaniosis (CanL). IgG-IFAT titers ≥80 were considered positive. Anti-L. infantum IgG antibodies were found in 54 samples with titers ranging from 1 : 80 to 1 : 5120. The performance of the rapid Immunospecific Kalazar was evaluated using a ROC curve. The area under the ROC curve of 0.957 was significantly different from 0.5 (P < 0.0001), and therefore it can be concluded that the rapid Immunospecific Kalazar has the ability to distinguish canine sera with and without L. infantum IgG. The best performance of the test was at a cutoff >0 (sensitivity 92.6%, specificity 97%). The test can be used for disease screening if the cutoff is >0 (highest sensitivity, 92.6%) and is recommended as confirmatory test for the presence of L. infantum IgG antibodies if the cutoff is set >2 (highest specificity, 100%).
Hobbes on drugs: Understanding drug violence in Mexico

by Javier Osorio This dissertation analyzes the unprecedented eruption of organized criminal violence in Mexico. To understand the dynamics of drug violence, this dissertation addresses three questions. What explains the onset of the war on drugs in Mexico? Once the conflict starts, why does drug violence escalate so rapidly? And lastly, why is there subnational variation in the concentration of violence? Based on a game theoretic model, the central argument indicates that democratization erodes the peaceful configurations between the state and criminal organizations and motivates authorities to fight crime, thus triggering a wave of violence between the state and organized criminals and among rival criminal groups fighting to control strategic territories. In this account, state action is not neutral: law enforcement against a criminal group generates the opportunity for a rival criminal organization to invade its territory, thus leading to violent interactions among rival criminal groups. These dynamics of violence tend to concentrate in territories favorable for the reception, production and distribution of drugs. In this way, the disrupting effect of law enforcement unleashes a massive wave of violence of all-against-all resembling a Hobbesian state of war. To test the observable implications of the theory, the empirical assessment relies on a novel database of geo-referenced daily event data at municipal level providing
Fast Encoding and Decoding of Flexible-Rate and Flexible-Length Polar Codes

This work is on fast encoding and decoding of polar codes. We propose and detail 8-bit and 16-bit parallel decoders that can be used to reduce the decoding latency of the successive-cancellation decoder. These decoders are universal and can decode flexible-rate and flexible-length polar codes. We also present fast encoders that can be used to increase the throughput of serially-implemented polar encoders.
A trivalent system from vancomycin.D-ala-D-Ala with higher affinity than avidin.biotin.

Tris(vancomycin carboxamide) binds a trivalent ligand derived from D-Ala-D-Ala with very high affinity: dissociation constant (Kd) approximately 4 x 10(-17) +/- 1 x 10(-17) M. High-affinity trivalent binding and monovalent binding are fundamentally different. In trivalent (and more generally, polyvalent) binding, dissociation occurs in stages, and its rate can be accelerated by monovalent ligand at sufficiently high concentrations. In monovalent binding, dissociation is determined solely by the rate constant for dissociation and cannot be accelerated by added monomer. Calorimetric measurements for the trivalent system indicate an approximately additive gain in enthalpy relative to the corresponding monomers. This system is one of the most stable organic receptor-ligand pairs involving small molecules that is known. It illustrates the practicality of designing very high-affinity systems based on polyvalency.
Effect of the H-2 gene complex rates of fibroblast intercellular adhesion

The rate of collection of embryo fibroblast single cells by an embryo fibroblast monlayer was realted to the H-2 haplotype of the fibroblast monolayer. The rate was highest for the H-2s strains and lowest for the H-2k strains with all other strains examined being intermediate. As opposed to monolayers prepared from the A and C3H background animals, monolayers from B10 background mice only demonstrated an H-2 haplotype dependent rate differential after treatment with fetal calf serum or neuraminidase. The relationship that was seen between monolayer H-2 haplotype and rate of adhesion with embryonic monolayers was not observed with either congenic 3T3 cell lines or fibroblasts derived from adult tissues. It was further shown that the rate of single cell pick-up could be substantially reduced by incubating the monolayers with the appropriate polyspecific anti-H-2 antisera. The inhibition observed appeared to be directly related to anti-H-2 antibody binding and was not merely a function of ligand binding to the cell surface, as antisera directed against other fibroblast cell surface antigens did not significantly inhibit the adhesive rate. These results indicate a role for the H-2 gene complex in modulating fibroblast-fibroblast intercellular adhesion.
In Vitro Evaluation of the Biological Responses of Canine Macrophages Challenged with PLGA Nanoparticles Containing Monophosphoryl Lipid A

Poly (lactic-co-glycolic acid) nanoparticles (PLGA NPs) have been considerably studied as a promising biodegradable delivery system to induce effective immune responses and to improve stability, safety, and cost effectiveness of vaccines. The study aimed at evaluating early inflammatory effects and cellular safety of PLGA NPs, co-encapsulating ovalbumin (PLGA/OVA NPs), as a model antigen and the adjuvant monophosphoryl lipid A (PLGA/MPLA NPs) as an adjuvant, on primary canine macrophages. The PLGA NPs constructs were prepared following the emulsion-solvent evaporation technique and further physic-chemically characterized. Peripheral blood mononuclear cells were isolated from canine whole blood by magnetic sorting and further cultured to generate macrophages. The uptake of PLGA NP constructs by macrophages was demonstrated by flow cytometry, transmission electron microscopy and confocal microscopy. Macrophage viability and morphology were evaluated by trypan blue exclusion and light microscopy. Macrophages were immunophenotyped for the expression of MHC-I and MHC-II and gene expression of Interleukin-10 (IL-10), Interleukin-12 (IL-12p40), and tumor necrosis factor alpha (TNF-α) were measured. The results showed that incubation of PLGA NP constructs with macrophages revealed effective early uptake of the PLGA NPs without altering the viability of macrophages. PLGA/OVA/MPLA NPs strongly induced TNF-α and IL-12p40 expression by macrophages as well as increase relative expression of MHC-I but not MHC-II molecules. Taken together, these results indicated that PLGA NPs with addition of MPLA represent a good model, when used as antigen carrier, for further, in vivo, work aiming to evaluate their potential to induce strong, specific, immune responses in dogs.
Unsupervised robust clustering for image database categorization

Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper an adaptive robust competition. This algorithm relies on a non-supervised database categorization, coupled with a selection of prototypes in each resulting category. In our approach, each image is represented by a high-dimensional signature in the feature space, and a principal component analysis is performed for every feature to reduce dimensionality. Image database overview is computed in challenging conditions since clusters are overlapping with outliers and the number of clusters is unknown.
Disentangling the representations of object shape and object category in the brain: the animate-inanimate distinction

Objects belonging to different categories elicit reliably different response patterns in human ventral temporal cortex, with the most prominent distinction being that between animate and inanimate objects. However, it remains unclear whether these categorical distinctions genuinely reflect object category or, alternatively, category-associated visual properties. To address this question, we designed a stimulus set in which animate and inanimate stimuli were carefully matched for shape. Different aspects of visual similarity of the stimuli were measured in three behavioral visual search tasks. We then conducted an fMRI study to test the hypothesis that animate-inanimate organization in VTC response patterns can be explained by visual properties of these categories. We found that it was not the case: although visual dissimilarity predicted neural dissimilarity across the visual cortex, we also found regions in which category information was present even after regressing out visual dissimilarity. We then conducted an MEG study to examine the time course of shape- and category-related information in the brain. Following the analysis approach used in the fMRI study, neural dissimilarity of MEG sensor patterns was modeled using regression analysis, where visual dissimilarity and categorical dissimilarity served as predictors of neural dissimilarity. The results show that visual object properties were strongly contributing to MEG sensor patterns. Surprisingly, when regressing out the contribution of visual properties, no residual category information was present in MEG response patterns. These results suggest that MEG sensor patterns evoked by visually presented objects predominantly reflect visual object properties. Taken together, these findings suggest that MEG is less sensitive to object category information that is independent of shape information.
Sex-Specific Modulation of Gene Expression Networks in Murine Hypothalamus

The hypothalamus contains nuclei and cell populations that are critical in reproduction and that differ significantly between the sexes in structure and function. To examine the molecular and genetic basis for these differences, we quantified gene expression in the hypothalamus of 39 pairs of adult male and female mice belonging to the BXD strains. This experimental design enabled us to define hypothalamic gene coexpression networks and provided robust estimates of absolute expression differences. As expected, sex has the strongest effect on the expression of genes on the X and Y chromosomes (e.g., Uty, Xist, Kdm6a). Transcripts associated with the endocrine system and neuropeptide signaling also differ significantly. Sex-differentiated transcripts often have well delimited expression within specific hypothalamic nuclei that have roles in reproduction. For instance, the estrogen receptor (Esr1) and neurokinin B (Tac2) genes have intense expression in the medial preoptic and arcuate nuclei and comparatively high expression in females. Despite the strong effect of sex on single transcripts, the global pattern of covariance among transcripts is well preserved, and consequently, males and females have well matched coexpression modules. However, there are sex-specific hub genes in functionally equivalent modules. For example, only in males is the Y-linked gene, Uty, a highly connected transcript in a network that regulates chromatin modification and gene transcription. In females, the X chromosome paralog, Kdm6a, takes the place of Uty in the same network. We also find significant effect of sex on genetic regulation and the same network in males and females can be associated with markedly different regulatory loci. With the exception of a few sex-specific modules, our analysis reveals a system in which sets of functionally related transcripts are organized into stable sex-independent networks that are controlled at a higher level by sex-specific modulators.
Splicing-related genes are alternatively spliced upon changes in ambient temperatures in plants

Plants adjust their development and architecture to small variations in ambient temperature. In a time in which temperatures are rising world-wide, the mechanism by which plants are able to sense temperature fluctuations and adapt to it, is becoming of special interest. By performing RNA-sequencing on two Arabidopsis accession and one Brassica species exposed to temperature alterations, we showed that alternative splicing is an important mechanism in ambient temperature sensing and adaptation. We found that amongst the differentially alternatively spliced genes, splicing related genes are enriched, suggesting that the splicing machinery itself is targeted for alternative splicing when temperature changes. Moreover, we showed that many different components of the splicing machinery are targeted for ambient temperature regulated alternative splicing. Mutant analysis of a splicing related gene that was differentially spliced in two of the genotypes showed an altered flowering time response to different temperatures. We propose a two-step mechanism where temperature directly influences alternative splicing of the splicing machinery genes, followed by a second step where the altered splicing machinery affects splicing of downstream genes involved in the adaptation to altered temperatures.
The Evolution and Emergence of Integrated Social and Financial Networks with Electronic Transactions: A Dynamic Supernetwork Theory for the Modeling, Analysis, and Computation of Financial Flows and Relationship Levels

In this paper, we propose a rigorous dynamic supernetwork theory for the integration of social networks with financial networks with intermediation in the presence of electronic transactions. We consider decision-makers with sources of funds, financial intermediaries, as well as demand markets for the various financial products. Through a multilevel supernetwork framework consisting of the financial network and the social network we model the multicriteria decision-making behavior of the various decision-makers, which includes the maximization of net return, the maximization of relationship values, and the minimization of risk. Increasing relationship levels in our framework are assumed to reduce transaction costs as well as risk and to have some additional value for the decision-makers. We explore the dynamic evolution of the financial flows, the associated product prices, as well as the relationship levels on the supernetwork until an equilibrium pattern is achieved. We provide some qualitative properties of the dynamic trajectories, under suitable assumptions, and propose a discrete-time algorithm which is then applied to track the evolution of the relationship levels over time as well as the financial flows and prices. The equilibrium pattern yields, as a byproduct, the emergent structure of the social and financial networks since it identifies not only which pairs of nodes will have flows but also the size of the flows, i.e., the relationship levels and the financial transactions.
Narrating the future of the national economy and the national state

The paper consider the articulation of three perspectives: the regulation approach, the neo-Gramscian political school, and the critical discourse analysis, to study the links between the economic and the political in contemporary capitalism, particularly by examining the cultural and social embeddedness of market and state and their discursive, and the ways in which they are articulated both discursively and extra-discursively. These arguments are illustrated substantively by references to changes in the state form that has been centrally associated with Atlantic Fordism. It is shown how deeply regulationist and neo-Gramscian categories rest on assumptions, concepts, and explanatory principles rooted in cultural analysis. Taking into account the critical discourse analysis, it is considered the future of the capitalist economy and the national state, the governance, and its cultural and social embeddedness.
Automatic Brain Responses to Pitch Changes in Congenital Amusia

Congenital amusia is a lifelong disorder affecting the processing of pitch. This pitch deficit can be traced down to abnormal brain responses elicited by pitch changes smaller than a semitone in conditions requiring attention. Here, we use the mismatch negativity (MMN) to investigate pre‐attentive pitch change detection in 10 amusics and eight matched controls. Results indicate similar MMN in amusics and controls, even for an eighth of a tone change, revealing that the amusic brain can process small pitch changes at a pre‐attentive level. Thus, the pitch deficit in congenital amusia may be related to a problem of perceptual awareness.