Miracle-dz/UniFAR-FTUs huggingface dataset:
CARTOGRAFIAS NO CIBERESPAÇO: EXPERIMENTAÇÕES METODOLÓGICAS EM ESPAÇOS HÍBRIDOS

Resumo O presente artigo tem como objetivo explorar as potencialidades do método da cartografia de Deleuze e Guattari no âmbito das redes digitais, levando em conta o advento das mídias locativas e das tecnologias de geolocalização que fazem surgir os espaços híbridos, nos quais a experiência de se movimentar no espaço geográfico coincide com o movimento pelo ciberespaço. O artigo discute as possibilidades de associação da cartografia com outras estratégias metodológicas, como a flânerie e os diários de bordo, com o intuito de fazer frente à complexidade dos processos de subjetivação que são atravessados hoje pelo acoplamento cada vez mais íntimo com as tecnologias digitais. Exploramos, enfim, estratégias que podem ser pensadas para fugir às estrias de um espaço digital cada vez mais dominado pelo controle e pela vigilância, evidenciando como a atitude cartográfica pode nos auxiliar a desfazer os mapas, em direção a processos de criação e singularização.
A Normative Study and Developmental Theory of Social Intelligence

This Dissertation is brought to you for free and open access by the Theses and Dissertations at Loyola eCommons. It has been accepted for inclusion in Dissertations by an authorized administrator of Loyola eCommons. For more information, please contact ecommons@luc.edu. he has worked as a Clinical Psychologist in the Chicago public schools. ACKNOWLEDGMENTS The author is especially grateful and primarily indebted to Dr. Ronald E. Walker whose continued and objective interest in the concept of social intelligence provided much of the impetus for this study. Gratitude is expressed to like to acknowledge collectively a group of people each of whom is appreciated singly for having contributed so willingly and significantly to this work:
DIFFERENTIAL TOPOLOGY 46 YEARS LATER

The first big breakthrough, by [Kirby-Siebenmann, 1969, 1969a, 1977], was an obstruction theory for the problem of triangulating a given topological manifold as a PL (= Piecewise-Linear) manifold. If BTop and BPL are the stable classifying spaces (as described in the lectures), they showed that the relative homotopy group πj(BTop, BPL) is cyclic of order two for j = 4, and zero otherwise. Given an n-dimensional topological manifold M, it follows that there is an obstruction o ∈ H(M; Z/2) to triangulating M as a PL-manifold. In dimensions n ≥ 5 this is the only obstruction. Given such a triangulation, there is a similar obstruction in H(M; Z/2) to its uniqueness up to a PL-isomorphism which is topologically isotopic to the identity. In particular, they proved the following.
Word-Clouds in the Sky: Multi-layer Spatio-Temporal Event Visualization from a Geo-Parsed Microblog Stream

Various events, such as public gatherings, traffic accidents, and natural disasters, occur every day in mega-cities. Although understanding such ever-changing events over all these cities is important for urban planning, traffic management, and disaster response, this is quite a huge challenge. This paper proposes a method of visualizing spatio-temporal events with a multi-layered geo-locational word-cloud representation from a geo-parsed microblog stream. Real-time geo-parsing first geo-locates posts in the stream, using geo-tags and mentioned places and facilities as clues. Temporal local events are then identified and represented by a set of words specifically observed in a certain location and time grid, and then displayed above a map as word-clouds. We detect the locality of events to split them into multiple layers to avoid occlusions between local (e.g., music concerts) and global (e.g., earthquakes and marathon races) events. Users can thereby distinguish local from global events, and see their interactions over the layered maps. We demonstrate the effectiveness of our method by applying it to real events extracted from our archive accumulated from five years of Twitter posts.
Smad3 -signalling and Th2 cytokines in normal mouse airways and in a mouse model of asthma

This study investigates the role of Smad3 signalling for the T-helper2 (Th2) cytokine homeostasis in normal lungs and in a mouse model of asthma. We used mice deficient for Smad3, a central part of the major signal transduction pathway for TGF-β and other related cytokines, and a mouse model for allergic asthma with ovalbumin (OVA) as the antigen. Compared to wild type mice, naive (unmanipulated) Smad3-/- mice exhibited significantly increased levels of proinflammatory cytokines and IL-4 as well as the Th2 associated transcription factor GATA-3 in the lung tissue and bronchoalveolar lavage (BAL). In the asthma model, mucin secretion and airway hyperresponsiveness (AHR) after allergen exposure was significantly increased in the Smad3-/- mice as compared to wild type (WT) mice. IL-4 levels in Smad3-/- were similar to those encountered in WT mice but IL-13 levels were decreased in the airways of OVA sensitized Smad3-/- mice compared to corresponding WT mice. The results indicate that a lack of Smad3 dependent signalling in the normal state will lead to an increase in the GATA-3 levels and as a result of this the levels of IL-4 increase. However, the lack of Smad3 also seems to inhibit expression of some cytokines, especially IL-13. Our results also indicate that in the inflammatory state TGF-β or related cytokines functions to counterbalance the effects of IL-4 rather than to critically regulate its expression.
The design of the Caltech Mosaic C multicomputer

and Introduction The Caltech Mosaic C is an experimental, ne-grain multicomputer that employs single-chip nodes and advanced packaging technology to demonstrate the performance/cost advantages of the ne-grain-multicomputer architecture. Each Mosaic node includes 64KB of single-clock-cycle dynamic RAM; 2KB of self-test and bootstrap ROM; an 11MIPS processor; a packet interface ; and a 60MB/s, two-dimensional, self-timed router. The node is a single , 9.25mm10. 00mm, 1.2m-feature-size, CMOS chip that, at V dd = 5V, operates at 30MHz and dissipates 0.5W. These chips are packaged by tape-automated bonding (TAB) in 88 arrays on circuit boards that can, in turn, be composed in two dimensions to construct arbitrarily large arrays of nodes. In addition to the 88 boards, complete Mosaic systems require host-interface boards that allow workstations to send and receive packets on Mosaic channels, and high-bandwidth cables. The Mosaic host-interface boards are built using memoryless Mosaic chips with external SRAM that can also be accessed by the workstation. The host-interface boards were a critical part of the development strategy: They were used both to develop and re-ne the Mosaic processor, packet interface, and router through MOSIS runs; and also to provide early, operational, Mosaic multicomputers for system-software and test-program development. The Mosaic programming system consists of a compiler for a source programming notation called C +? , and a distributed runtime system. C +? is an extension of C ++ that supports concurrent processes in much the same way that C ++ supports program objects. The runtime system, which is written in C +? , provides copyless message handling, highly distributed resource management, automatic process placement, and scheduling. The Mosaic is intended both for large-scale-computing and for embedded-systems applications. A 16K-node Mosaic system is being constructed at Caltech to explore the programmability and application span of the architecture for large-scale computations. The ATOMIC local-area network 8] is an early example of an embedded-system application of Mosaic components.
On-line Bushing Condition Monitoring

An on-line bushing condition monitoring framework is presented, the framework is able to adapt as new data are introduced. Furthermore, it can accommodate new classes that are introduced by incoming data. The framework is implemented using an incremental learning algorithm that uses MLP as a weak Learner. The performance of the on-line bushing condition monitoring is compared to that of an MLP trained off-line. The proposed framework is able to adapt as new data are introduced and is able to accommodate new classes. The testing results improved from 67.5% to 95.8% as new data are introduced and the testing results improved from 60% to 95.3% as new classes are introduced. On average the confidence value of the framework on its decisions is 0.92.
A test of intrusion alert filtering based on network information

Intrusion detection systems continue to be a promising security technology. The arguably biggest problem with today's intrusion detection systems is the sheer number of alerts they produce for events that are regarded as benign or non-critical by system administrators. A plethora of more and less complex solutions has been proposed to filter the relevant i.e., correct alerts that signature-based intrusion detection sensors produce. This paper reports on a test performed to test a number of filtering alternatives that take advantage of information about static properties of the monitored computer network, such as vulnerabilities and exposure of ports and hosts. The results show that none of the filters are able to maintain a high recall portion of detected attacks while increasing the precision portion of relevant alerts. At most, precision increased from 1.4% to 2.9%, and this also resulted in a decrease in recall from 44% to 26%. Even when combined in an exploratory fashion, the filters fail to provide improved precision. It is concluded that filters based on static properties of the computer network do not result in clear improvements to alert lists produced by signature-based intrusion detection systems. Copyright © 2015 John Wiley & Sons, Ltd.
Americas Conference on Information Systems ( AMCIS ) 1-1-2008 Supporting Global Software Development with Web 2 . 0 Technologies-Insights from and Empirical Study

The paper at hand presents findings of a surveyand case study based investigation of using innovative Web2.0 technologies in the software development process of global companies. While the empirical study shows that adoption rates are already quite high, the satisfaction with using Web2.0 technologies and the resulting success highly depend on the adoption speed as well as on the mastery of special operating capabilities within the local IT and product development departments. In addition to these quantitative and survey-based findings, 3 case examples shed light on specific application scenarios of Web2.0 applications in different industries. Besides the exemplary illustration of where these innovative web technologies can support global software development processes, economic and strategic benefits of introducing them are highlighted.
Automatic Speech Semantic Recognition and verification in Air Traffic Control

The Federal Aviation Administration (FAA) and BrainVentions Corporation, Inc. have conducted a one-year cooperative research agreement to investigate the current state of the art Automatic Speech Semantic Recognition (ASSR) technology, to measure its accuracy, and to explore its potential applications in Air Traffic Control (ATC). The ASSR system used for this study was the ValsVox (BrainVentions) web-based Software as a Service (SaaS) application for real-time speech recognition and semantic parsing of ATC voice communications. Case studies were conducted using the enhanced ValsVox system with recorded audio from previously conducted ATC Human-in-the-Loop (HITL) simulations. The standard speech recognition metric of word error rate was calculated as well as semantic metrics based on the commands issued by the simulation pilots used as the “gold standard” interpretation of the voice clearances. The design of ValsVox is such that the speech recognition is constrained in real-time by the semantic parsing unlike other systems in which a transcript of the utterance is first generated then semantically parsed. For the phrases that were successfully recognized, the accuracy of the semantic recognition as measured against the “gold standard” was over 80%. These findings suggest that the technology may be ready for follow on research to incorporate ASSR into ATC decision support tools. For example, this might include tools that detect mismatches between verbal clearances and keyed commands or to alert the users of incorrect or missing read-backs. There is also a potential to use ASSR in simulation and training environments such as incorporating into simulation pilot workstations to assist overloaded pilots. In addition human transcriptionists could use ValsVox-generated transcripts to save time and costs when complete accuracy is needed.
Authoritarian Practices in the Digital Age| Asymmetrical Power Between Internet Giants and Users in China

We find that the asymmetry of power between the Internet giants and the users, prevalent in the digital era, is deeply problematic in China in that the two key players of big data—the Internet giants and the government—are interested in exploiting the potential of big data, but the regulation of the use and application of user data is an obstacle to their goal. The Internet giants do not value the provision of transparent privacy policies and the enforcement of the policies, while the government, being an investor in and consumer of big data services, is neither interested in nor technologically capable of regulating big data technology. Moreover, there is no unified Internet governance system to solicit cooperation within the government to regulate Internet privacy. These contextual characteristics facilitate the building of the social credit system that pays limited attention to user privacy. The findings suggest that in the discussion about the political consequences of ICT development in China, we should focus on the Internet giants and their unchecked technological power instead of only the government.
Understanding the Role of Dicer in Astrocyte Development

The Dicer1 allele is used to show that microRNAs (miRNAs) play important roles in astrocyte development and functions. While it is known that astrocytes that lack miRNAs are dysregulated, the in vivo phenotypes of these astrocytes are not well understood. In this study, we use Aldh1l1-EGFP transgene, a marker of astrocytes, to characterize mouse models with conditional Dicer1 ablation (via either human or mouse GFAP-Cre). This transgene revealed novel features of the defective astrocytes from the absence of miRNA. Although astrocyte miRNAs were depleted in both lines, we found histological and molecular differences in the Aldh1l1-EGFP cells between the two Cre lines. Aldh1l1-EGFP cells from hGFAP-Cre mutant lines displayed up-regulation of Aldh1l1-EGFP with increased proliferation and a genomic profile that acquired many features of wildtype primary astrocyte cultures. In the young mGFAP-Cre mutant lines we found that Aldh1l1-EGFP cells were disorganized and hyperproliferative in the developing cerebellum. Using the Aldh1l1-EGFP transgene, our work provides new insights into the roles of miRNAs in astrocyte development and the features of astrocytes in these two mouse models.
Accurate computation of the medial axis of a polyhedron

We present an accurate and efficient algorithm to compute the internal Voronoi region and medial axis of a 3-D polyhedron. It uses exact arithmetic and representations for accurate computation of the medial axis. The sheets, seams, and junctions of the medial axis are represented as trimmed quadric surfaces, algebraic space curves, and points with algebraic coordinates, respectively. The algorithm works by recursively finding neighboring junctions along the seam curves. It uses spatial decomposition and linear programming to speed up the search step. We also present a new algorithm for analysis of the topology of an algebraic plane curve, which is the core of our medial axis algorithm. To speed up the computation, we have designed specialized algorithms for fast computation on implicit geometric structures. These include lazy evaluation based on multivariate Stiirm sequences, fast resultant computation, curve topology analysis, and floating-point filters. The algorithm has been implemented and we highlight its performance on a number of examples.
A Novel Injection Aware Approach for the Testing of Database Applications

Databases have become an integral part of the web applications in the current world. Database based applications have brought a revolution in the domain of information technology. These applications interact with the databases using Structured Query Language (SQL) queries embedded in the code. There are automated ways to test the applications written in imperative and structured languages. However, the methodologies to test the applications with embedded SQL queries are still in the nascent phase. The SQL injection attacks have become one of the most serious security threats. Testing of these applications poses grave challenges to the engineers. In this paper, a novel approach has been proposed to test the applications in a comprehensive way. The approach is a holistic one; it tests the system under real conditions without any artifacts, to avoid potential injection attacks.
Image Shape Approximation & Representing it by Speech Sound Pattern for Visually Impaired Person

The aim of this paper is to represent a method where a blind person can get information about the shape of an object through speech sound. Nowadays a lot of image shape approximation and representation algorithms are available, but these representations are very lengthy. Here, we have proposed a digital image shape approximation method where a shape boundary is divided & approximated to a few numbers of half - elliptical arc segments. These half elliptical arc segments are then represented by three-phoneme speech sound pattern so that on hearing this sound, a blind person can visualize the shape of the image.
Protection against experimental salmonellosis by recombinant 49 kDa OMP of Salmonella enterica serovar Typhi: biochemical aspects

Typhoid fever is systemic illness caused by Salmonella enterica serovar Typhi (S. Typhi) in humans. Increasing multidrug resistant strains of S. Typhi and limited effect of available vaccines has necessitated exploring of new immunogens for protection against it. Earlier studies have shown that a crude preparation of outer membrane proteins (OMPs) of S. Typhi evokes strong immune response and induces a protective immunity against infection caused by diverse Gram-negative bacteria. In the present study we have evaluated the protective effect of a purified recombinant 49 kDa (r49kDa) OMP of S. Typhi alone or along with alum or complete Freund’s adjuvant, against a challenge by S. Typhi (0.4 × 50% lethal dose) by biochemical estimation of serum enzymes and oxidative stress enzymes in Swiss albino mice. There was a decrease in activity of alanine aminotransferase by 14.28%, 38.09%, 23.80%; aspartate aminotransferase by 6.25%, 25%, 16.25%; lipid peroxidation by 4.34%, 18.84%, 11.59%; and catalase by 8%, 14%, 10%, respectively, whereas increase in activity of reduced glutathione by 33.33%, 61.11%, 44.44%; glutathione peroxidase by 7%, 16%, 10%; and glutathione reductase by 8%, 20%, 12%, respectively, as compared to control animals challenged with bacteria without pre-immunization. The results indicated that immunization of mice with r49kDa OMP alone or in combination with adjuvants protected and normalized the liver. It reduces the development of oxidative stress in mice against Salmonella infection and the risk of getting typhoid. These results represent an additional supplement to our earlier reported data on protective immunity evoked by this protein.
The habitat disruption induces immune-suppression and oxidative stress in honey bees

The honey bee is a major insect used for pollination of many commercial crops worldwide. Although the use of honey bees for pollination can disrupt the habitat, the effects on their physiology have never been determined. Recently, honey bee colonies have often collapsed when introduced in greenhouses for pollination in Japan. Thus, suppressing colony collapses and maintaining the number of worker bees in the colonies is essential for successful long-term pollination in greenhouses and recycling of honey bee colonies. To understand the physiological states of honey bees used for long-term pollination in greenhouses, we characterized their gene expression profiles by microarray. We found that the greenhouse environment changes the gene expression profiles and induces immune-suppression and oxidative stress in honey bees. In fact, the increase of the number of Nosema microsporidia and protein carbonyl content was observed in honey bees during pollination in greenhouses. Thus, honey bee colonies are likely to collapse during pollination in greenhouses when heavily infested with pathogens. Degradation of honey bee habitat by changing the outside environment of the colony, during pollination services for example, imposes negative impacts on honey bees. Thus, worldwide use of honey bees for crop pollination in general could be one of reasons for the decline of managed honey bee colonies.
Approximation Algorithms for Maximin Fair Division

We consider the problem of dividing indivisible goods fairly among n agents who have additive and submodular valuations for the goods. Our fairness guarantees are in terms of the maximin share, that is defined to be the maximum value that an agent can ensure for herself, if she were to partition the goods into n bundles, and then receive a minimum valued bundle. Since maximin fair allocations (i.e., allocations in which each agent gets at least her maximin share) do not always exist, prior work has focussed on approximation results that aim to find allocations in which the value of the bundle allocated to each agent is (multiplicatively) as close to her maximin share as possible. In particular, Procaccia and Wang (2014) along with Amanatidis et al. (2015) have shown that under additive valuations a 2/3-approximate maximin fair allocation always exists and can be found in polynomial time. We complement these results by developing a simple and efficient algorithm that achieves the same approximation guarantee. Furthermore, we initiate the study of approximate maximin fair division under submodular valuations. Specifically, we show that when the valuations of the agents are nonnegative, monotone, and submodular, then a 1/10-approximate maximin fair allocation is guaranteed to exist. In fact, we show that such an allocation can be efficiently found by using a simple round-robin algorithm. A technical contribution of the paper is to analyze the performance of this combinatorial algorithm by employing the concept of multilinear extensions.
Research on the Perturbation Stability Margin when the Controller is Fixed

The robustness and stability of the closed-loop system is analyzed with uncertainty in the form of the additive/multiplicative perturbation and the coprime factorization respectively. The difference between them is also investigated. A new method to solve the perturbation stability margin by the coprime factorization is proposed when the controller is fixed. And the perturbation stability margin is respectively researched when only the perturbation plant is coprime or when the perturbation plant and the fixed controller are coprime simultaneously. Also the equality of them is testified while the Bezout equation is satisfied. This method has solved the problem of perturbation stability margin when the controller is fixed and provided a quantitative index for the robust analysis of the perturbation plant. The simulation has proved its effectiveness