933 resultados para Spots(objects)


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We live in a world of chemicals. Unfortunately, some of the characteristics that make household chemical products the most useful are the same qualities that lead to trouble when these products are carelessly handled. A chemical stain or spot is a serious kind of stain that is appearing with increasing frequency and is different from ordinary stains. This type of discoloration or color is caused by a variety of chemical ingredients contains in dozens of common household products. This NebFact discusses the different chemical spots, stains and discolorations that are found in your home furnishings.

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Most museums, libraries, and archives throughout the world have to deal with paper damaged by iron gall ink. For more than a decade international research has been devoted to the topic in an attempt to provide practical treatments for objects and formulate guidelines for the preservation of iron gall ink collections. A working group of conservators in South and Central America and the Caribbean have developed a program to disseminate research findings, collect data about the condition of iron gall ink collections in their countries and identify imminent training needs. The goal of this project is to combine the latest research with existing and acceptable conservation practices and share information about risk management, proper housing, examination and treatment of iron gall ink inscribed artefacts-at risk. Communications among colleagues were established to learn more about the current resources available in collections from various countries.

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Discusses the technological changes that affects learning organizations as well as the human, technical, legal and sustainable aspects regarding learning objects repositories creation, maintenance and use. It presents concepts of information objects and learning objects, the functional requirements needed to their storage at Learning Management Systems. The role of Metadata is reviewed concerning learning objects creation and retrieval, followed by considerations about learning object repositories models, community participation/collaborative strategies and potential derived metrics/indicators. As a result of this desktop research, it can be said that not only technical competencies are critical to any learning objects repository implementation, but it urges that an engaged community of interest be establish as a key to support a learning object repository project. On that matter, researchers are applying Activity Theory (Vygostky, Luria y Leontiev) in order to seek joint perceptions and actions involving learning objects repository users, curators and managers, perceived as critical assets to a successful proposal.

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The classic approach to gene discovery relies on the construction of linkage maps. We report the first molecular-based linkage map for Drosophila mediopunctata, a neotropical species of the tripunctata group. Eight hundred F2 individuals were genotyped at 49 microsatellite loci, resulting in a map that is approximate to 450 centimorgans long. Five linkage groups were detected, and the species' chromosomes were identified through cross-references to BLASTn searches and Muller elements. Strong synteny was observed when compared with the Drosophila melanogaster chromosome arms, but little conservation in the gene order was seen. The incorporation of morphological data corresponding to the number of central abdominal spots on the map was consistent with the expected location of a genomic region responsible for the phenotype on the second chromosome.

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Let D be a division ring with center k, and let D-dagger be its multiplicative group. We investigate the existence of free groups in D-dagger, and free algebras and free group algebras in D. We also go through the case when D has an involution * and consider the existence of free symmetric and unitary pairs in D-dagger.

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We report the synthesis of silver-gold nanotubes containing hot spots along their surface. The Ag-Au nanotubes exhibited exceptional SERS properties compared to silver nanowires, enabling the detection of crystal violet in the 10(-10) M regime, as well as 9-nitroanthracene and benzo[a] pyrene at 3.3 x 10(-7) M.

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The anomalies in the anti-Stokes to Stokes intensity ratios in single-molecule surface-enhanced resonance Raman scattering were investigated. Brilliant green and crystal violet dyes were the molecular probes, and the experiments were carried out on an electrochemically activated Ag surface. The results allowed new insights into the origin of these anomalies and led to a new method to confirm the single-molecule regime in surface-enhanced Raman scattering. Moreover, a methodology to estimate the distribution of resonance energies that contributed to the imbalance in the anti-Stokes to Stokes intensity ratios at the electromagnetic hot spots was proposed. This method allowed the local plasmonic resonance energies on the metallic surface to be spatially mapped.

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This paper presents the results of a simulation using physical objects. This concept integrates the physical dimensions of an entity such as length, width, and weight, with the usual process flow paradigm, recurrent in the discrete event simulation models. Based on a naval logistics system, we applied this technique in an access channel of the largest port of Latin America. This system is composed by vessel movement constrained by the access channel dimensions. Vessel length and width dictates whether it is safe or not to have one or two ships simultaneously. The success delivered by the methodology proposed was an accurate validation of the model, approximately 0.45% of deviation, when compared to real data. Additionally, the model supported the design of new terminals operations for Santos, delivering KPIs such as: canal utilization, queue time, berth utilization, and throughput capability

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RTLS and RFID systems are becoming more and more important in several fields. When these systems meet the UWB technology, they can take advantage of each other strengths. Since nowadays a strong importance is given to the "green" technology, we chose to adopt a passive solution. In this case the backscattering modulation can be used to carry data. Therefore it is necessary to analyze the behavior of the antennas used as tags, when they are closed to dierent material objects. In particular, the antenna mode part has been deeply observed, as it is the crucial part of the signal regarding the backscatter modulation.

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In this work, we consider a simple model problem for the electromagnetic exploration of small perfectly conducting objects buried within the lower halfspace of an unbounded two–layered background medium. In possible applications, such as, e.g., humanitarian demining, the two layers would correspond to air and soil. Moving a set of electric devices parallel to the surface of ground to generate a time–harmonic field, the induced field is measured within the same devices. The goal is to retrieve information about buried scatterers from these data. In mathematical terms, we are concerned with the analysis and numerical solution of the inverse scattering problem to reconstruct the number and the positions of a collection of finitely many small perfectly conducting scatterers buried within the lower halfspace of an unbounded two–layered background medium from near field measurements of time–harmonic electromagnetic waves. For this purpose, we first study the corresponding direct scattering problem in detail and derive an asymptotic expansion of the scattered field as the size of the scatterers tends to zero. Then, we use this expansion to justify a noniterative MUSIC–type reconstruction method for the solution of the inverse scattering problem. We propose a numerical implementation of this reconstruction method and provide a series of numerical experiments.

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In computer systems, specifically in multithread, parallel and distributed systems, a deadlock is both a very subtle problem - because difficult to pre- vent during the system coding - and a very dangerous one: a deadlocked system is easily completely stuck, with consequences ranging from simple annoyances to life-threatening circumstances, being also in between the not negligible scenario of economical losses. Then, how to avoid this problem? A lot of possible solutions has been studied, proposed and implemented. In this thesis we focus on detection of deadlocks with a static program analysis technique, i.e. an analysis per- formed without actually executing the program. To begin, we briefly present the static Deadlock Analysis Model devel- oped for coreABS−− in chapter 1, then we proceed by detailing the Class- based coreABS−− language in chapter 2. Then, in Chapter 3 we lay the foundation for further discussions by ana- lyzing the differences between coreABS−− and ASP, an untyped Object-based calculi, so as to show how it can be possible to extend the Deadlock Analysis to Object-based languages in general. In this regard, we explicit some hypotheses in chapter 4 first by present- ing a possible, unproven type system for ASP, modeled after the Deadlock Analysis Model developed for coreABS−−. Then, we conclude our discussion by presenting a simpler hypothesis, which may allow to circumvent the difficulties that arises from the definition of the ”ad-hoc” type system discussed in the aforegoing chapter.

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We consider a simple (but fully three-dimensional) mathematical model for the electromagnetic exploration of buried, perfect electrically conducting objects within the soil underground. Moving an electric device parallel to the ground at constant height in order to generate a magnetic field, we measure the induced magnetic field within the device, and factor the underlying mathematics into a product of three operations which correspond to the primary excitation, some kind of reflection on the surface of the buried object(s) and the corresponding secondary excitation, respectively. Using this factorization we are able to give a justification of the so-called sampling method from inverse scattering theory for this particular set-up.

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n the last few years, the vision of our connected and intelligent information society has evolved to embrace novel technological and research trends. The diffusion of ubiquitous mobile connectivity and advanced handheld portable devices, amplified the importance of the Internet as the communication backbone for the fruition of services and data. The diffusion of mobile and pervasive computing devices, featuring advanced sensing technologies and processing capabilities, triggered the adoption of innovative interaction paradigms: touch responsive surfaces, tangible interfaces and gesture or voice recognition are finally entering our homes and workplaces. We are experiencing the proliferation of smart objects and sensor networks, embedded in our daily living and interconnected through the Internet. This ubiquitous network of always available interconnected devices is enabling new applications and services, ranging from enhancements to home and office environments, to remote healthcare assistance and the birth of a smart environment. This work will present some evolutions in the hardware and software development of embedded systems and sensor networks. Different hardware solutions will be introduced, ranging from smart objects for interaction to advanced inertial sensor nodes for motion tracking, focusing on system-level design. They will be accompanied by the study of innovative data processing algorithms developed and optimized to run on-board of the embedded devices. Gesture recognition, orientation estimation and data reconstruction techniques for sensor networks will be introduced and implemented, with the goal to maximize the tradeoff between performance and energy efficiency. Experimental results will provide an evaluation of the accuracy of the presented methods and validate the efficiency of the proposed embedded systems.

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Zielgerichtete Orientierung ermöglicht es Lebewesen, überlebenswichtige Aufgaben, wie die Suche nach Ressourcen, Fortpflanzungspartnern und sicheren Plätzen zu bewältigen. Dafür ist es essentiell, die Umgebung sensorisch wahrzunehmen, frühere Erfahrungen zu speichern und wiederabzurufen und diese Informationen zu integrieren und in motorische Aktionen umzusetzen.rnWelche Neuronengruppen vermitteln zielgerichtete Orientierung im Gehirn einer Fliege? Welche sensorischen Informationen sind in einem gegebenen Kontext relevant und wie werden diese Informationen sowie gespeichertes Vorwissen in motorische Aktionen übersetzt? Wo findet im Gehirn der Übergang von der sensorischen Verarbeitung zur motorischen Kontrolle statt? rnDer Zentralkomplex, ein Verbund von vier Neuropilen des Zentralhirns von Drosophila melanogaster, fungiert als Übergang zwischen in den optischen Loben vorverarbeiteten visuellen Informationen und prämotorischem Ausgang. Die Neuropile sind die Protocerebralbrücke, der Fächerförmige Körper, der Ellipsoidkörper und die Noduli. rnIn der vorliegenden Arbeit konnte gezeigt werden, dass Fruchtfliegen ein räumliches Arbeitsgedächtnis besitzen. Dieses Gedächtnis kann aktuelle visuelle Information ersetzen, wenn die Sicht auf das Zielobjekt verloren geht. Dies erfordert die sensorische Wahrnehmung von Zielobjekten, die Speicherung der Position, die kontinuierliche Integration von Eigen-und Objektposition, sowie die Umsetzung der sensorischen Information in zielgerichtete Bewegung. Durch konditionale Expression von Tetanus Toxin mittels des GAL4/UAS/GAL80ts Systems konnte gezeigt werden, dass die Ringneurone, welche in den Ellipsoidkörper projizieren, für das Orientierungsgedächtnis notwendig sind. Außerdem konnte gezeigt werden, dass Fliegen, denen die ribosomale Serinkinase S6KII fehlt, die Richtung verlieren, sobald keine Objekte mehr sichtbar sind und, dass die partielle Rettung dieser Kinase ausschließlich in den Ringneuronenklassen R3 und R4d hinreichend ist, um das Gedächtnis wieder herzustellen. Bei dieser Gedächtnisleistung scheint es sich um eine idiothetische Form der Orientierung zu handeln. rn Während das räumliche Arbeitsgedächtnis nach Verschwinden von Objekten relevant ist, wurde in der vorliegende Arbeit auch die Vermittlung zielgerichteter Bewegung auf sichtbare Objekte untersucht. Dabei wurde die zentrale Frage bearbeitet, welche Neuronengruppen visuelle Orientierung vermitteln. Anhand von Gehirnstrukturmutanten konnte gezeigt werden, dass eine intakte Protocerebralbrücke notwendig ist, um Laufgeschwindigkeit, Laufaktivität und Zielgenauigkeit bei der Ansteuerung visueller Stimuli korrekt zu vermitteln. Dabei scheint das Horizontale Fasersystem, welches von der Protocerebralbrücke über den Fächerförmigen Körper auf den Zentralkomplex assoziierte Neuropile, die Ventralkörper, projiziert, notwendig für die lokomotorische Kontrolle und die zielgenaue Bewegung zu sein. Letzeres konnte zum einen durch Blockade der synaptischen Transmission anhand konditionaler Tetanus Toxin Expression mittels des GAL4/UAS/GAL80ts Systems im Horizontalen Fasersystem gezeigt werden;. zum anderen auch durch partielle Rettung der in den Strukturmutanten betroffenen Gene. rn Den aktuellen Ergebnissen und früheren Studien folgend, ergibt sich dabei ein Modell, wie zielgerichtete Bewegung auf visuelle Stimuli neuronal vermittelt werden könnte. Nach diesem Modell bildet die Protocerebralbrücke die Azimuthpositionen von Objekten ab und das Horizontale Fasersystem vermittelt die entsprechende lokomotorische Wo-Information für zielgerichtete Bewegungen. Die Eigenposition in Relation zum Zielobjekt wird über die Ringneurone und den Ellipsoidkörper vermittelt. Wenn das Objekt aus der Sicht verschwindet, kann die Relativposition ideothetisch ermittelt werden und integriert werden mit Vorinformation über das Zielobjekt, die im Fächerförmigen Körper abgelegt ist (Was-Information). Die resultierenden Informationen könnten dann über das Horizontale Fasersystem in den Ventralkörpern auf absteigende Neurone gelangen und in den Thorax zu den motorischen Zentren weitergeleitet werden.rn