1,721,298 research outputs found
Number is not just an illusion: Discrete numerosity is encoded independently from perceived size
Full text linkWhile seminal theories suggest that nonsymbolic visual numerosity is mainly extracted from segmented items, more recent views advocate that numerosity cannot be processed independently of nonnumeric continuous features confounded with the numerical set (i.e., such as the density, the convex hull, etc.). To disentangle these accounts, here we employed two different visual illusions presented in isolation or in a merged condition (e.g., combining the effects of the two illusions). In particular, in a number comparison task, we concurrently manipulated both the perceived object segmentation by connecting items with Kanizsa-like illusory lines, and the perceived convex-hull/density of the set by embedding the stimuli in a Ponzo illusion context, keeping constant other low-level features. In Experiment 1, the two illusions were manipulated in a compatible direction (i.e., both triggering numerical underestimation), whereas in Experiment 2 they were manipulated in an incompatible direction (i.e., with the Ponzo illusion triggering numerical overestimation and the Kanizsa illusion numerical underestimation). Results from psychometric functions showed that, in the merged condition, the biases of each illusion summated (i.e., largest underestimation as compared with the conditions in which illusions were presented in isolation) in Experiment 1, while they averaged and competed against each other in Experiment 2. These findings suggest that discrete nonsymbolic numerosity can be extracted independently from continuous magnitudes. They also point to the need of more comprehensive theoretical views accounting for the operations by which both discrete elements and continuous variables are computed and integrated by the visual system
Language statistics as a window into mental representations
Full text linkLarge-scale linguistic data is nowadays available in abundance. Using this source of data, previous research has identified redundancies between the statistical structure of natural language and properties of the (physical) world we live in. For example, it has been shown that we can gauge city sizes by analyzing their respective word frequencies in corpora. However, since natural language is always produced by human speakers, we point out that such redundancies can only come about indirectly and should necessarily be restricted cases where human representations largely retain characteristics of the physical world. To demonstrate this, we examine the statistical occurrence of words referring to body parts in very different languages, covering nearly 4 billions of native speakers. This is because the convergence between language and physical properties of the stimuli clearly breaks down for the human body (i.e., more relevant and functional body parts are not necessarily larger in size). Our findings indicate that the human body as extracted from language does not retain its actual physical proportions; instead, it resembles the distorted human-like figure known as the sensory homunculus, whose form depicts the amount of cortical area dedicated to sensorimotor functions of each body part (and, thus, their relative functional relevance). This demonstrates that the surface-level statistical structure of language opens a window into how humans represent the world they live in, rather than into the world itself
Renaldis (Rinaldi), Luca
No full textSacerdote e diplomatico asburgico (1451-1513), di famiglia tedesca, ma residente a Pordenone, allora austriaca, si distinse alla corte dell'Imperatore Massimiliano I come il maggiore esperto di questioni italiane. Conosciuto e lodato da Niccolò Machiavelli, fu impegnato in delicate missioni a Roma, a Venezia e a Napoli, . Sui suoi rapporti con Massimiliano I gravò però l'ipoteca della incapacità dell' Imperatore di finanziare in modo adeguato i propri diplomatici. Nel 1509, alla vigilia della guerra della lega di Cambrai, Luca de Renaldis tentò una mediazione con Venezia, ma fu accusato di essersi fatto corrompere dai Veneziani. Imprigionato per un anno, fu poi riabilitato e nuovamente impiegato in missioni diplomatiche dall'Imperatore
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Renal handling of uric acid
No full textUric acid is the end product of purine catabolism in humans. The plasma concentration is the result of an intricate and partially known process that regulates its synthesis and excretion. Plasma levels range from 3 to 7 mg/dl, and are influenced by diet rich in purines, cell turnover and reduced renal excretion. The kidney plays a pivotal role in acid uric homeostasis, and the pathogenesis of hyperuricemia often correlates with a reduction in the amount of renal excretion, as happens in chronic kidney failure or as a result of certain drugs. Physiologically, uric acid is freely filtered by glomerulus; along the proximal tubule it is reabsorbed and secreted, with a fractional excretion equal to 6-12%. During the last decades many efforts have led to a better understanding of the molecular basis of renal urate handling. The present study analyzes the most recent evidences that demonstrate the role of several proteins involved in urate transport. Understanding this physiological mechanisms had a great impact in clinical practice, providing advances in our knowledge of drug action and genetic associations in hyperuricemic patients; contextually it opened new avenues for drug development
Spatial Representations Without Spatial Computations
No full textCognitive maps are assumed to be fundamentally spatial and grounded only in perceptual processes, as supported by the discovery of functionally dedicated cell types in the human brain, which tile the environment in a maplike fashion. Challenging this view, we demonstrate that spatial representations-such as large-scale geographical maps-can be as well retrieved with high confidence from natural language through cognitively plausible artificial-intelligence models on the basis of nonspatial associative-learning mechanisms. More critically, we show that linguistic information accounts for the specific distortions observed in tasks when college-age adults have to judge the geographical positions of cities, even when these positions are estimated on real maps. These findings indicate that language experience can encode and reproduce cognitive maps without the need for a dedicated spatial-representation system, thus suggesting that the formation of these maps is the result of a strict interplay between spatial- and nonspatial-learning principles
The mental representation of nonnumerical quantifiers: The Spatial-Linguistic Association of Response Codes (SLARC) effect
No full textHow quantifiers are represented in the human mind is still a topic of intense debate. Seminal studies have addressed the issue of how a subclass of quantifiers, that is, number words, is spatially coded displaying the Spatial-Numerical Association of Response Codes (SNARC) effect; yet, none of these studies have explored the spatial representation of nonnumerical quantifiers such as “some” or “many.” The aim of the present study is to investigate whether nonnumerical quantifiers are spatially coded in the human mind. We administered two typical comparison tasks to 52 participants: the first task involved nonnumerical quantifiers; the second task involved number words. Results showed a response-side compatibility effect for both number words and nonnumerical quantifiers, suggesting that both types of quantifiers are encoded in a spatial format; quantifiers referring to “small” quantities are responded to faster with the left hand and quantifiers referring to “large” quantities are responded to faster with the right hand. We labeled this effect for nonnumerical quantifiers as the Spatial-Linguistic Association of Response Codes (SLARC) effect. Notably, we found that the SNARC and the SLARC effects were strictly related to each other, namely the more a participant was sensitive to the SNARC effect in the number–word task, the more a SLARC effect was detectable in the nonnumerical quantifier task. These findings add evidence to the tendency of humans to align magnitude information on a mental line that is coded from left to right
Orchestrating incomplete TOSCA applications with Docker
Full text linkCloud applications typically integrate multiple components, each needing a virtualised runtime environment that provides the required software support (e.g., operating system, libraries). This paper shows how TOSCA and Docker can effectively support the orchestration of multi-component applications, even when their runtime specification is incomplete. More precisely, we first introduce a TOSCA-based representation of multi-component applications, and we illustrate how such representation can be exploited to specify only the application-specific components. We then present TOSKERISER, a tool for automatically completing TOSCA application specifications, which can automatically discover the Docker-based runtime environments that provide the software support needed by the application components. We also show how we fruitfully exploited TOSKERISER in two concrete case studies. Finally, we discuss how the specifications completed by TOSKERISER can be automatically orchestrated by already existing TOSCA engines
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