1,357,826 research outputs found
Pina Menichelli: L’anti-diva di “Tigre Reale”.
Attrici come la siciliana Pina Menichelli, prestate dal teatro all'arte nuova del cinematografo, furono le prime dive del muto italiano, note a livello mondiale, allorquando la cinematografia italiana (della Cines, della Itala film o della Rinascimento), pioniera a livello planetario, non era ancora stata cancellata dalla Grande Guerra. Dopo il conflitto,infatti, distrutte le pellicole e con esse anche la memoria dei fasti delle prime industrie italiane del cinema, quell'arte emigrerà Oltreoceano per germinare e rimanervi nei noti Studios hollywoodiani, consacrando alla fama altri volti. Il repertorio su base letteraria della Menichelli, verghiano e dannunziano; il connubio artistico con Pastrone; i tagli e le incomprensibili motivazioni della censura che infieriva sulle pellicole dell'attrice sono al centro di questo intervento
A market for digital privacy: consumers' willingness to trade personal data and money
This paper analyzes the trade-off consumers face between monetary benefits and personal data disclosure. We use survey data from Norway to study respondents’ willingness to share data in exchange for a discount (WSD) and to pay to keep data private (WPP) for a list of personal data often exchanged online. Additionally, we study the effects of various consumer demographics and attitudes on WPP and WSD. We find that WSD and WPP change for different personal data. WPP is lower than WSD for low-sensitivity data, such as age. WSD increases when the data are used for personalization and when users interact with institutions they trust. WPP is higher than WSD for data personally identifying a respondent, such as pictures. Providing paid privacy protection for these data is a valuable service. Financial institutions and mobile operators are better positioned than others to offer this service. Younger respondents show a higher WPP
Allographic Agraphia: A Case Study
We report the case of patient MN, diagnosed with frontotemporal dementia, who exhibited a severe impairment in writing letters and words in upper-case print in the face of accurate production of the same stimuli in lower-case cursive. In contrast to her written production difficulties, MN was unimpaired in recognizing visually presented letters and words in upper-case print. We find a modest benefit of visual form cueing in the written production of upper-case letters, despite an inability to describe or report visual features of letters in any case or font. This case increases our understanding of the allographic level of letter-shape representation in written language production. It provides strong support for previous reports indicating the neural independence of different types of case and font-specific letter-shape information; it provides evidence that letter-shape production does not require explicit access to information about the visual attributes of letter shapes and, finally, it reveals the possibility of interaction between processes involved in letter-shape production and perception
A new MAPT deletion in a case of speech apraxia leading to corticobasal syndrome
Speech apraxia is a disorder of speech motor planning/programming leading to slow rate, articulatory distortion, and distorted sound substitutions. We describe the clinical profile evolution of a patient presenting with slowly progressive isolated speech apraxia that eventually led to the diagnosis of corticobasal syndrome (CBS), supporting the evidence that this rare speech disorder can be the first presentation of CBS. Moreover, we found a novel variant in MAPT gene, which is hypothesized to be disease-causing mutation. These results underscore the importance of genetic analysis–particularly in selected atypical cases–for in vivo understanding of possible pathophysiological disease process
Retrieval of compound words in picture naming. A study in Alzheimer’s disease and in aphasia.
Customizable vector acceleration in extreme-edge computing. A risc-v software/hardware architecture study on VGG-16 implementation
Computing in the cloud-edge continuum, as opposed to cloud computing, relies on high performance processing on the extreme edge of the Internet of Things (IoT) hierarchy. Hardware acceleration is a mandatory solution to achieve the performance requirements, yet it can be tightly tied to particular computation kernels, even within the same application. Vector-oriented hardware acceleration has gained renewed interest to support artificial intelligence (AI) applications like convolutional networks or classification algorithms. We present a comprehensive investigation of the performance and power efficiency achievable by configurable vector acceleration subsystems, obtaining evidence of both the high potential of the proposed microarchitecture and the advantage of hardware customization in total transparency to the software program
AppropinQuo: a platform emulator for exploring the approximate memory design space
In this work we present AppropinQuo, a flexible and configurable emulator for embedded platforms with approximate memory. The emulator includes models of the effects of approximate memory circuits and architectures, that depend on the internal structure and organization of the cells. The ability to emulate a complete platform, including CPU, peripherals and hardware-software interactions, is particularly important since it allows to execute the application as on the real board, reproducing the effects of errors on output. In fact, output quality is related not only to error rate but it also depends on the application, implementation and its data representation.AppropinQuo allows to run actual applications and operating system as on the physical platform, to analyze the behavior and to expose the effects of specific approximate memory circuits and architectures on output quality. By exploring the design space regarding approximate memories, a complete characterization of the application is possible, as a step toward the determination of the trade-off between saved energy and output quality (energy quality tradeoff)
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
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