Representing Knowledge of Large-Scale Space

This dissertation presents a model of the knowledge a person has about the spatial structure of a large-scale environment: the "cognitive map". The functions of the cognitive map are to assimilate new information about the environment, to represent the current position, and to answer route-finding and relative-position problems. This model (called the TOUR model) analyzes the cognitive map in terms of symbolic descriptions of the environment and operations on those descriptions. Knowledge about a particular environment is represented in terms of route descriptions, a topological network of paths and places, multiple frames of reference for relative positions, dividing boundaries, and a structure of containing regions. The current position is described by the "You Are Here" pointer, which acts as a working memory and a focus of attention. Operations on the cognitive map are performed by inference rules which act to transfer information among different descriptions and the "You Are Here" pointer. The TOUR model shows how the particular descriptions chosen to represent spatial knowledge support assimilation of new information from local observations into the cognitive map, and how the cognitive map solves route-finding and relative-position problems. A central theme of this research is that the states of partial knowledge supported by a representation are responsible for its ability to function with limited information of computational resources. The representations in the TOUR model provide a rich collection of states of partial knowledge, and therefore exhibit flexible, "common-sense" behavior.

Radio propagation modeling for capacity optimization in wireless relay MIMO systems with partial CSI

The enormous growth of wireless communication systems makes it important to evaluate the capacity of such channels. Multiple Input Multiple Output (MIMO) wireless communication systems are shown to yield significant performance improvement to data rates when compared to the traditional Single Input Single Output (SISO) wireless systems. The benefits of multiple antenna elements at the transmitter and receiver have become necessary to the research and the development of the next generation of mobile communication systems. In this paper we propose the use of Relaying MIMO wireless communication systems for use over long throughput. We investigate how Relays can be used in a "demodulate-and-forward" operation when the transmitter is equipped with spatially correlated multiple antenna elements and the receiver has only partial knowledge of the statistics of the channel. We show that Relays between the source and destination nodes of a wireless communication system in MIMO configuration improve the throughput of the system when compared to the typical MIMO systems, or achieve the desired channel capacity with significantly lower power resources needed.

Nurses knowledge of health effects of dietary fibre

Introduction: Nurses accompany patients throughout their health care to prevent and treat disease, so their knowledge about diet and dietary fibre is key to successful diet therapy, which is an essential part of a patient's non-pharmacological treatment. It is known from the literature that a high proportion of nurses have limited knowledge about diet therapy and about sources of soluble fibre and other foods that can prevent or treat certain diseases. Given the position of nurses as key providers of dietary guidance, and given the health benefits of dietary fibre, we wanted to assess the level of fibre-related knowledge among nurses in Croatia. Material and Methods: Cross-sectional study based on data collected between October 2014 and March 2015 using a survey developed by the CI&DETS Polytechnic Institute in Viseu, Portugal. The survey contains questions about demographic characteristics as well as about knowledge of sources of dietary fibre, recommended daily intake and effects of fibre intake on particular diseases. The study included a total of 369 nurses from two health institutions and one nursing school from Croatia older than 18 years. Differences in knowledge were assessed for significance using the non-parametric Mann-Whitney U test. Possible associations among variables were explored using Spearman's rank correlation. For all statistical analyses, the threshold of significance was defined as P<0.05. Results: The level of knowledge among nurses in Croatia about dietary fibre varied from «undecided» to «partial knowledge». The median for level of knowledge ranged from 3 to 4 with low variability ranging from 0.11 to 0.33. Average levels of knowledge in percentages varied from 57.6% to 82.1%. Nurses with higher education levels showed significantly higher knowledge levels about the influence of dietary fiber intake on the risk of certain diseases (p = 0.007), constipation (p = 0.016), bowel cancer (p = 0.005) and breast cancer (p = 0.039). Conclusion: The level of nurses’ knowledge about dietary fiber is suboptimal. This indicates the need to strengthen nurse education in the areas of diet and diet therapy. Increase the level of knowledge of nurses about nutrition can positively influence the quality of care.

What do current planning students and recent graduates think planners do?

A planner’s view of the purpose of their actions, the role they play, the focus of their work and in whose interest they operate greatly influence their approach to planning and the outcome of their work. However there is no common and established understanding within the profession on these themes. Contemporary planning theory, practice and education is characterised by the parallel existence of multiple, often contradictory schools of thought. What values and perspectives are held by the next generation of planning professionals as they emerge from contemporary planning programs? This preliminary investigation seeks to identify the views and perspectives of early career planners on the purpose and role of planning, the degree to which planning is oriented on the future and the nature of the public interest, using various schools of planning thought as a thematic framework. In the current phase of a larger project, extant students and recent graduates from planning courses at three Queensland universities were surveyed electronically to ascertain their views, with plans to undertake a broader study of similar populations across Australia. Within the current pilot, students and graduates did not identify strongly with a single school of planning thought, but favoured contrasting rational and collaborative definitions of the role and purpose of planning and the public interest and pragmatic concepts of partial knowledge of the future and the value of experience in managing present issues.

Self-Supervised ARTMAP

Computational models of learning typically train on labeled input patterns (supervised learning), unlabeled input patterns (unsupervised learning), or a combination of the two (semisupervised learning). In each case input patterns have a fixed number of features throughout training and testing. Human and machine learning contexts present additional opportunities for expanding incomplete knowledge from formal training, via self-directed learning that incorporates features not previously experienced. This article defines a new self-supervised learning paradigm to address these richer learning contexts, introducing a neural network called self-supervised ARTMAP. Self-supervised learning integrates knowledge from a teacher (labeled patterns with some features), knowledge from the environment (unlabeled patterns with more features), and knowledge from internal model activation (self-labeled patterns). Self-supervised ARTMAP learns about novel features from unlabeled patterns without destroying partial knowledge previously acquired from labeled patterns. A category selection function bases system predictions on known features, and distributed network activation scales unlabeled learning to prediction confidence. Slow distributed learning on unlabeled patterns focuses on novel features and confident predictions, defining classification boundaries that were ambiguous in the labeled patterns. Self-supervised ARTMAP improves test accuracy on illustrative lowdimensional problems and on high-dimensional benchmarks. Model code and benchmark data are available from: http://techlab.bu.edu/SSART/.

System identification using partitioned least squares

A novel partitioned least squares (PLS) algorithm is presented, in which estimates from several simple system models are combined by means of a Bayesian methodology of pooling partial knowledge. The method has the added advantage that, when the simple models are of a similar structure, it lends itself directly to parallel processing procedures, thereby speeding up the entire parameter estimation process by several factors.

A Bayesian framework for learning shared and individual subspaces from multiple data sources

This paper presents a novel Bayesian formulation to exploit shared structures across multiple data sources, constructing foundations for effective mining and retrieval across disparate domains. We jointly analyze diverse data sources using a unifying piece of metadata (textual tags). We propose a method based on Bayesian Probabilistic Matrix Factorization (BPMF) which is able to explicitly model the partial knowledge common to the datasets using shared subspaces and the knowledge specific to each dataset using individual subspaces. For the proposed model, we derive an efficient algorithm for learning the joint factorization based on Gibbs sampling. The effectiveness of the model is demonstrated by social media retrieval tasks across single and multiple media. The proposed solution is applicable to a wider context, providing a formal framework suitable for exploiting individual as well as mutual knowledge present across heterogeneous data sources of many kinds.

Características da base de conhecimentos de professores no ensino de biologia celular a partir de um curso de formação continuada

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Cuidadores informais de idosos em pós-operatório de cirurgia de fêmur proximal: prevenção de novas quedas

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Evolutionary methods for self-organizing cooperation in peer-to-peer networks

The Peer-to-Peer network paradigm is drawing the attention of both final users and researchers for its features. P2P networks shift from the classic client-server approach to a high level of decentralization where there is no central control and all the nodes should be able not only to require services, but to provide them to other peers as well. While on one hand such high level of decentralization might lead to interesting properties like scalability and fault tolerance, on the other hand it implies many new problems to deal with. A key feature of many P2P systems is openness, meaning that everybody is potentially able to join a network with no need for subscription or payment systems. The combination of openness and lack of central control makes it feasible for a user to free-ride, that is to increase its own benefit by using services without allocating resources to satisfy other peers’ requests. One of the main goals when designing a P2P system is therefore to achieve cooperation between users. Given the nature of P2P systems based on simple local interactions of many peers having partial knowledge of the whole system, an interesting way to achieve desired properties on a system scale might consist in obtaining them as emergent properties of the many interactions occurring at local node level. Two methods are typically used to face the problem of cooperation in P2P networks: 1) engineering emergent properties when designing the protocol; 2) study the system as a game and apply Game Theory techniques, especially to find Nash Equilibria in the game and to reach them making the system stable against possible deviant behaviors. In this work we present an evolutionary framework to enforce cooperative behaviour in P2P networks that is alternative to both the methods mentioned above. Our approach is based on an evolutionary algorithm inspired by computational sociology and evolutionary game theory, consisting in having each peer periodically trying to copy another peer which is performing better. The proposed algorithms, called SLAC and SLACER, draw inspiration from tag systems originated in computational sociology, the main idea behind the algorithm consists in having low performance nodes copying high performance ones. The algorithm is run locally by every node and leads to an evolution of the network both from the topology and from the nodes’ strategy point of view. Initial tests with a simple Prisoners’ Dilemma application show how SLAC is able to bring the network to a state of high cooperation independently from the initial network conditions. Interesting results are obtained when studying the effect of cheating nodes on SLAC algorithm. In fact in some cases selfish nodes rationally exploiting the system for their own benefit can actually improve system performance from the cooperation formation point of view. The final step is to apply our results to more realistic scenarios. We put our efforts in studying and improving the BitTorrent protocol. BitTorrent was chosen not only for its popularity but because it has many points in common with SLAC and SLACER algorithms, ranging from the game theoretical inspiration (tit-for-tat-like mechanism) to the swarms topology. We discovered fairness, meant as ratio between uploaded and downloaded data, to be a weakness of the original BitTorrent protocol and we drew inspiration from the knowledge of cooperation formation and maintenance mechanism derived from the development and analysis of SLAC and SLACER, to improve fairness and tackle freeriding and cheating in BitTorrent. We produced an extension of BitTorrent called BitFair that has been evaluated through simulation and has shown the abilities of enforcing fairness and tackling free-riding and cheating nodes.

Sustainability indicators for environmental management and decision making

The general objective of this research is to explore theories and methodologies of sustainability indicators, environmental management and decision making disciplines with the operational purpose of producing scientific, robust and relevant information for supporting system understanding and decision making in real case studies. Several tools have been applied in order to increase the understanding of socio-ecological systems as well as providing relevant information on the choice between alternatives. These tools have always been applied having in mind the complexity of the issues and the uncertainty tied to the partial knowledge of the systems under study. Two case studies with specific application to performances measurement (environmental performances in the case of the K8 approach and sustainable development performances in the case of the EU Sustainable Development Strategy) and a case study about the selection of sustainable development indicators amongst Municipalities in Scotland, are discussed in the first part of the work. In the second part of the work, the common denominator among subjects consists in the application of spatial indices and indicators to address operational problems in land use management within the territory of the Ravenna province (Italy). The main conclusion of the thesis is that a ‘perfect’ methodological approach which always produces the best results in assessing sustainability performances does not exist. Rather, there is a pool of correct approaches answering different evaluation questions, to be used when methodologies fit the purpose of the analysis. For this reason, methodological limits and conceptual assumptions as well as consistency and transparency of the assessment, become the key factors for assessing the quality of the analysis.

Charakterisierung einer pflanzlichen Variante des Cytoskelettproteins gamma-Tubulin durch Strukturmodellierung, Überexpression und Analyse der Interaktionspartner

Wie alle Eukaryoten besitzen auch höhere Pflanzen ein mikrotubuläres Cytoskelett. Einige Funktionen dieses Cytoskeletts sind relativ stark konserviert, andere dagegen scheinen sehr pflanzenspezifisch zu sein. Dies betrifft insbesondere charakteristische mikrotubuläre Netzwerke, die bei der Neubildung und der Verstärkung der Zellwände wichtige Rollen übernehmen. Wie der Aufbau dieser Netzwerke kontrolliert wird, ist bisher relativ unklar. Typische Mikrotubuli organisierende Zentren (MTOC), insbesondere Centrosomen oder Spindelpolkörper, sind bei höheren Pflanzen nicht beobachtet worden. Von pilzlichen und tierischen Organismen weiß man, dass gamma-Tubulin (gTUB) mit seinen assoziierten Proteinen in den MTOC bei der Nukleation von Mikrotubuli eine Schlüsselfunktion hat. Dieses Mitglied der Tubulin-Superfamilie wird aber auch in Pflanzen gefunden, dessen genaue Funktion bisher unbekannt ist. Zu Beginn der Arbeit wurden mittels in silico Berechnungen Strukturmodelle des pflanzlichen gTUBs aus Nicotiana tabacum erarbeitet, da die Struktur, die zu einem Verständnis der pflanzlichen Wachstumsregulation beitragen könnte, bisher unbekannt ist. Auf Grundlage der bioinformatischen Daten konnte für weitere Studien eine notwendige gTUB-Deletionsmutante entwickelt werden. Für Röntgendiffraktionsstudien und gTUB-Interaktionspartneranalysen war die Verfügbarkeit verhältnismäßig großer Proteinmengen notwendig. Die Expression der gTUB-Volllängensequenz in gelöster und aktiver Form stellte einen immanent wichtigen Zwischenschritt dar. Das Escherichia coli T7/lacO-Expressionssystem lieferte, trotz vielversprechender Erfolge in der Vergangenheit, kein gelöstes rekombinantes gTUB. So wurden zwar verhältnismäßig hohe Expressionsraten erzielt, aber das rekombinante gTUB lag quantitativ als Inclusion bodies vor. Eine Variationen der Expressionsparameter sowie umfangreiche Versuche mittels verschiedenster Konstrukte sowie potentiell die Löslichkeit erhöhenden Tags gTUB in gelöster Form in E. coli zu exprimieren blieben erfolglos. Eine Denaturierung der Inclusion bodies und Rückfaltung wurde aufgrund der wohl bei der Tubulinfaltung notwendigen komplexeren Chaperone sowie thermodynamischer Überlegungen ausgeschlossen. Die höher evolvierte Chaperonausstattung war ein Hauptgrund für die Verwendung der eukaryotischen Hefe-Expressionssysteme K. lactis und des S. cerevisiae-Stammes FGY217 zur gTUB-Expression. So konnten nach der Selektion nur transgene Hefe-Zellen dokumentiert werden, die die gTUB-Expressionskassette nachweislich an der vorgesehenen Zielposition in ihrem Genom integrierten, aber keine dokumentierbare Expression zeigten. Die wahrscheinlichste Begründung hierfür ist, dass ein erhöhter intrazellulärer gTUB-Titer mit dem Zellwachstum und der Zellteilung dieser eukaryotischen Organismen interferierte und durch Rückkopplungen die rekombinante gTUB-CDS aus N. tabacum ausgeschaltet wurde. Der Versuch einer transienten gTUB-Überexpression in differenzierten Blattgeweben höherer Pflanzen war eine logische Konsequenz aus den vorherigen Ergebnissen und lieferte, wenn auch nicht die für eine Proteinkristallisation notwendigen Mengen, gelöstes gTUB. Bestrebungen einer stabilen Transfektion von A. thaliana oder BY-2-Zellkulturen mit einer gTUB-CDS lieferten keine transgenen Organismen, was starke Interferenzen der rekombinanten gTUB-CDS in den Zellen vermuten lies. Transfektionsversuche mit nur GFP tragenden Konstrukten ergaben hingegen eine hohe Anzahl an transgenen Organismen, die auch verhältnismäßig starke Expressionsraten zeigten. Die erzielten Proteinmengen bei der transienten gTUB-Überexpression in N. benthamiana Blattgeweben, in Co-Expression mit dem Posttransriptional Gene Silencing-Suppressorprotein p19, waren für einen Pull-Down sowie eine massenspektroskopische Analyse der Interaktionspartner ausreichend und ergaben Befunde. Eine abschließende Auswertung des erarbeiteten massenspektroskopischen Datensatzes wird jedoch erst dann möglich sein, wenn das Tabak-Proteom vollständig sequenziert ist. Die Erweiterung der bestehenden pflanzlichen Vergleichsdatenbanken um das bisher bekannte Tabak-Proteom vervielfachte die Anzahl der in dieser Studie identifizierten gTUB-Interaktionspartner. Interaktionen mit dem TCP1-Chaperon untermauern die Hypothese der zur Faltung pflanzlichen gTUBs notwendigen Chaperone. Beobachtete gTUB-Degradationsmuster in Verbindung mit Interaktionen des 26S-Proteasoms deuten auf eine Gegenregulationen bei erhöhtem gTUB-Titer auf Proteinebene hin. Da Blattgewebe selbst nur noch über eine sehr geringe und inhomogene Teilungsaktivität verfügen ist diese Regulation hoch spannend. Auch konnte durch Co-Expression des PTGS-Suppressorproteins p19 gezeigt werden, dass bei der gTUB-Expression eine Regulation auf RNA-Ebene erfolgt.

Hydrologic models for emergency decision support using Bayesian networks

In the presence of a river flood, operators in charge of control must take decisions based on imperfect and incomplete sources of information (e.g., data provided by a limited number sensors) and partial knowledge about the structure and behavior of the river basin. This is a case of reasoning about a complex dynamic system with uncertainty and real-time constraints where bayesian networks can be used to provide an effective support. In this paper we describe a solution with spatio-temporal bayesian networks to be used in a context of emergencies produced by river floods. In the paper we describe first a set of types of causal relations for hydrologic processes with spatial and temporal references to represent the dynamics of the river basin. Then we describe how this was included in a computer system called SAIDA to provide assistance to operators in charge of control in a river basin. Finally the paper shows experimental results about the performance of the model.

Performance comparisons between greedy and lagrange algorithms in adaptive MIMO MC-CDMA systems

This paper describes two algorithms for adaptive power and bit allocations in a multiple input multiple output multiple-carrier code division multiple access (MIMO MC-CDMA) system. The first is the greedy algorithm, which has already been presented in the literature. The other one, which is proposed by the authors, is based on the use of the Lagrange multiplier method. The performances of the two algorithms are compared via Monte Carlo simulations. At present stage, the simulations are restricted to a single user MIMO MC-CDMA system, which is equivalent to a MIMO OFDM system. It is assumed that the system operates in a frequency selective fading environment. The transmitter has a partial knowledge of the channel whose properties are measured at the receiver. The use of the two algorithms results in similar system performances. The advantage of the Lagrange algorithm is that is much faster than the greedy algorithm. ©2005 IEEE

Security and reliability of LPDC based public-key cryptosystems

Security and reliability of LDPC based public-key cryptosystems are discussed and analysed. We study attacks on the cryptosystem when partial knowledge of one or more of the private key components and/or of the plaintext have been acquired.