332,126 research outputs found
Izdelava programskega paketa za izvedbo elektronskega preverjanja znanja : diplomsko delo visokošolskega strokovnega študijskega programa
No full textData on the positive synergic action of dimethylacetamide and trehalose on quality of cryopreserved chicken sperm
Get PDFAbstractThis data article contains supporting information regarding the research article entitled “Combined effect of permeant and non-permeant cryoprotectants on the quality of frozen/thawed chicken sperm”(Mosca et. al., 2016) [1]. The combined effect of the permeant cryoprotectants agent dimethylacetamide and the non-permeant cryoprotectants agent trehalose on the quality of frozen-thawed chicken semen was assessed. In particular, the quantitative dimethylacetamide/trehalose ratio was investigated freezing semen samples according to the following treatments: trehalose 0.1M+0% dimethylacetamide (DMA-0), trehalose 0.1M+3% dimethylacetamide (DMA-3), trehalose 0.1M+6% dimethylacetamide (DMA-6)
Decisions Under Binary Messaging over Adaptive Networks
No full textWe consider an adaptive network made of interconnected agents engaged in a binary decision task. It is assumed that the agents cannot deliver full-precision messages to their neighbors, but only binary messages. For this scenario, a modified version of the ATC diffusion rule for the agent state evolution is proposed with improved decision performance under adaptive learning scenarios. An approximate analytical characterization of the agents' state is derived, giving insight into the network behavior at steady-state and enabling numerical computation of the decision performance. Computer experiments show that the analytical characterization is accurate for a wide range of the parameters of interest.AS
Detection Under One-Bit Messaging Over Adaptive Networks
No full textThis paper studies the operation of multi-agent networks engaged in binary decision tasks, and derives performance expressions and performance operating curves under challenging conditions with some revealing insights. One of the main challenges in the analysis is that agents are only allowed to exchange one-bit messages, and the information at each agent therefore consists of both continuous and discrete components. Due to this mixed nature, the steady-state distribution of the state of each agent cannot be inferred from direct application of central limit arguments. Instead, the behavior of the continuous component is characterized in integral form by using a log-characteristic function, while the behavior of the discrete component is characterized by means of an asymmetric Bernoulli convolution. By exploiting these results, this paper derives reliable approximate performance expressions for the network nodes that match well with the simulated results for a wide range of system parameters. The results also reveal an important interplay between continuous adaptation under constant step-size learning and the binary nature of the messages exchanged with neighbors.ASL26th European Signal Processing Conference (EUSIPCO), Sep 03-07, 2018, Rome, ITAL
Decision Learning and Adaptation over Multi-Task Networks
No full textThis paper studies the operation of multi-agent networks engaged in multi-task decision problems under the paradigm of simultaneous learning and adaptation. Two scenarios are considered:one in which a decision must be taken among multiple states of nature that are known but can vary over time and space, and another in which there exists a known 'normal' state of nature and the task is to detect unpredictable and unknown deviations from it. In both cases the network learns from the past and adapts to changes in real time in a multi-task scenario with different clusters of agents addressing different decision problems. The system design takes care of challenging situations with clusters of complicated structure, and the performance assessment is conducted by computer simulations. A theoretical analysis is developed to obtain a statistical characterization of the agents' status at steady-state, under the simplifying assumption that clustering is made without errors. This provides approximate bounds for the steady-state decision performance of the agents. Insights are provided for deriving accurate performance prediction by exploiting the derived theoretical results
Decision-making algorithms for learning and adaptation with application to COVID-19 data
No full textThis work focuses on the development of a new family of decision-making algorithms for adaptation and learning, which are specifically tailored to decision problems and are constructed by building up on first principles from decision theory. A key observation is that estimation and decision problems are structurally different and, therefore, algorithms that have proven successful for the former need not perform well when adjusted for the latter. Exploiting classical tools from quickest detection, we propose a tailored version of Page's test, referred to as BLLR (barrier log-likelihood ratio) test, and demonstrate its applicability to real-data from the COVID-19 pandemic in Italy. The results illustrate the ability of the design tool to track the different phases of the outbreak
Adaptation and Learning in Multi-Task Decision Systems
No full textAdaptation and learning over multi-agent networks is a topic of great relevance with important implications. Elaborating on previous works on single-task networks engaged in decision problems, here we consider the multi-task version in the challenging scenario where the state of nature may change arbitrarily. We propose a data diffusion scheme for tracking these changes in real time, and investigate by numerical simulations the corresponding steady-state decision performance. For the slow-adaptation regime, the complete analytical characterization of the agents' status is provided, under the simplifying assumption that the network connection matrix is correctly estimated
Tão dúbio, tão coerente: forma e conteúdo nas crônicas jornalísticas de Sayed Kashua
Get PDFEste artigo consiste na análise de duas crônicas jornalísticas do escritor árabe-israelense Sayed Kashua publicadas no jornal israelense Haaretz. Estes textos são selecionados devido à sua riqueza de conteúdo e pelo uso de estratégias retóricas, tais como a autoironia e o sarcasmo, para expor os conflitos pelos quais passa o “eu do cronista” retratado pelo autor. Este estudo tem como base os Estudos Culturais e os Novos Paradigmas Literários, ferramentas que permitem o estudo das crônicas jornalísticas como textos literários. Nestas crônicas, de uma maneira despretensiosa, partindo de experiências subjetivas e de temas familiares, com autoironia e tom satírico, Kashua reporta as experiências de um árabe israelense que vive num embate em torno de suas duplas lealdades e ideologias conflitantes, refletindo uma negociação entre sua etnicidade e sua nacionalidade. A crônica, neste contexto, é considerada o local apropriado para a escrita de Kashua: a ambiguidade do gênero é similar à necessidade de quebras de dualidades na sociedade israelense para entendermos e convivermos com o “eu do cronista” de Sayed Kashua. So dubious, so coherent: form and content in Sayed Kashua´s journalistic chronicles - Abstract: This paper consists of the literary analysis oftwo journalistic chronicles written in Hebrew by the Muslim Arab Israeli author Sayed Kashua published in the Israeli newspaper Haaretz. These texts are selected due to their richness of content and use of rhetorical strategies such as self-irony and sarcasm to expose the conflicts through which the “I of the chronicler” portrayed by the author goesthrough. This analysis will rely on theoretical assumptions of Cultural Studies and the “New literary paradigms”, tools that will enable us to study the journalistic chronicle as a literary text. In these chronicles, in a non-pretentious way, coming from the subjective experiences and family topics, with self-irony and in a satirical way, Kashua reports the experiences of an Israeli Arab who lives in a clash over his dual loyalty and conflicting ideologies, reflecting a negotiation between his ethnicity and his nationality. The chronicle, in this context, is considered the appropriate location for Kashua’s writings: the ambiguity of the literary genre is similar to the necessity of breaking dualities in Israeli society to understand and to be acquainted with the “I of the chronicler” of Sayed Kashua
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
On Functions Preserving Convergence of Series in Fuzzy n-Normed Spaces
Get PDFThe purpose of this paper is to introduce finite convergence sequences and
functions preserving convergence of series in fuzzy n-normed spaces
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