Status of implementation of the System of National Accounts (SNA) 1993 in selected Caribbean countries

Includes bibliography

Modernización portuaria: una pirámide de desafíos entrelazados

Modernización portuaria: una pirámide de desafíos entrelazados. Así se titula curso presentado por la Unidad de Transporte de la CEPAL en una serie de países en cuatro continentes, con la participación de autoridades ministeriales y portuarias, transportistas, exportadores, importadores y sindicalistas.

Port modernization: a pyramid of interrelated challenges

This is the name of the course presented by ECLAC's Transport Unit in range of countries in four continents for ministerial and port authorities, transport companies, exporters, importers and trade unions.

Erkennung der alpha-Kette des GM-CSF-Rezeptors (CSF2RA) durch einen HLA-unabhängigen alpha:beta-T-Zellrezeptor

Aus dem tumorreaktiven T-Zellrepertoire der Melanompatientin Ma-Mel-86/INTH, bei der im Verlauf Lymphknotenmetastasen HLA-Klasse I-negativer Tumorzellen auftraten, wurden durch Stimulation mit autologen Tumorzellen CD8+ T-Zellklone isoliert und expandiert, die auf Melanomzellen der Patientin CSF2RA (engl. GM-CSF receptor alpha chain) in HLA-unabhängiger Weise erkannten. Aus einem der T-Zellklone wurde ein CSF2RA-reaktiver α:β-T-Zellrezeptor (TCR, engl. T-cell receptor) kloniert (Bezeichnung: TCR-1A.3/46). Die α-Kette des TCR enthielt die Domänen TRAV14/DV4*01, TRAJ48*01 und TRAC*01, die β-Kette die Domänen TRBV10-3*01, TRBD2*01, TRBJ2-7*01 und TRBC2*01. Durch Austausch der humanen konstanten gegen die homologen murinen Domänen wurde der TCR optimiert (Bezeichnung: cTCR-1A.3/46) und hinsichtlich seiner Expression und Funktionalität nach retroviralem Transfer in humane PBMC (engl. peripheral blood mononuclear cells) im 51Chromfreisetzungstest, im IFN-γ-ELISpot-Assay und in einem Degranulations-Assay validiert. TCR-transgene T-Zellen lysierten nicht nur spezifisch die HLA-defizienten, CSF2RA+ Melanomlinien des Modells Ma-Mel-86, sondern erkannten auch Zelllinien verschiedener Spezies nach Transfektion von CSF2RA sowie Monozyten, Granulozyten, dendritische Zellen und ein breites Spektrum hämatologischer Malignome myeloiden Ursprungs ungeachtet deren HLA-Phänotypen. Lymphatische Zellen sowie CD34+ Blutstammzellen wurden in In vitro-Untersuchungen nicht erkannt. Der Zusatz von GM-CSF zu Zellen, die CSF2RA und CSF2RB exprimierten, inhibierte die Erkennung durch TCR-transgene PBMC, während die Koexpression der α- und der ß-Kette des GM-CSF-Rezeptors alleine keinen negativen Effekt auf die Erkennung hatte. Daraus war zu schließen, dass CSF2RA präferentiell freistehend und weniger nach Integration in den heteromultimerischen GM-CSF-Rezeptor-Komplex erkannt wurde. In der zweidimensionalen Collier-de-Perles-Visualisierung der IMGT-Datenbank (engl. International immunogenetics information system) wies der CSF2RA-reaktive TCR-1A.3/46 im Vergleich zu TCR von konventionellen, HLA-restringierten T-Zellen keine Besonderheiten auf. Darüber hinaus waren auch die von den HLA-unabhängigen T-Zellen exprimierten CD8-Moleküle identisch zu den CD8-Molekülen HLA-abhängiger CTL (engl. cytotoxic T lymphocytes). Die Präsenz von CD8-Molekülen förderte die HLA-unabhängige Erkennung von CSF2RA, schien aber dafür nicht zwingend erforderlich zu sein, da Antikörper gegen CD8 die Erkennung zu ca. 65 % blockierten und TCR-transgene CD4+ T-Zellen im Vergleich zu TCR-transduzierten CD8+ T-Zellen eine deutlich verringerte, aber noch erhaltene Funktionalität aufwiesen. Es ist derzeit nicht klar, ob HLA-unabhängige T-Zellen gegen CSF2RA im peripheren Blut der Patientin vorkamen, weil sie der im Tiermodell postulierten Thymusselektion MHC-unabhängiger TCR (Tikhonova et al., Immunity 36:79, 2012) entkommen waren, oder weil ein ursprünglich gegen einen HLA-Peptid-Komplex gerichteter TCR eine HLA-unabhängige Kreuzreaktivität aufwies. CSF2RA verbessert die Glucoseutilisation in malignen Zellen, und es wurden ihm embryotrophe Eigenschaften zugeschrieben (Spielholz et al., Blood 85:973, 1995; Sjöblom et al., Biol. Reprod. 67:1817, 2002). Damit kann CSF2RA malignes Wachstum fördern und ist somit ein potentielles Zielmolekül für die Immuntherapie. Seine HLA-unabhängige Erkennung würde sowohl die HLA-Vielfalt als auch den HLA-Verlust als typische Limitationen der T-Zellimmuntherapie umgehen. Zur Überprüfung der In vivo-Spezifität des HLA-unabhängigen TCR gegen CSF2RA und damit zum Ausschluss relevanter off-tumor-/on-target- bzw. off-tumor-/off-target-Effekte ist jedoch eine Testung in einem präklinischen Tiermodell erforderlich.

Caprine Arthritis Encephalitis Complex

The caprine arthritis encephalitis virus (CAEV) is a lentivirus that persistently infects goats and sheep. The finding thatCAEV and Maedi-Visna viruses frequently cross the species barrier between goats and sheep, and vice versa, has changedour view of the epidemiology of these viruses that are now referred to assmall ruminant lentiviruses (SRLV).CAEV is transmitted from infected mothers to their offspring, mainly via ingestion of infected colostrum and milk. Thispermits the implementation of control measures based on the segregation ofnewborn kids immediately after birth thatsuccessfully cut the seroprevalence in infected flocks, eliminating CAEV induced clinical disease. CAEV induces overtpathology in about one third of the infected animals. The frequency of affected animals varies in different goat families,pointing to an important genetic component in this disease. The principal manifestations areencephalitis and interstitialpneumonia in young animals,whereas arthritis and mastitispredominate in adult goats. The immunopathologicalmechanisms leading to diseaseare to date unclear and involve the principal components ofthe immune system, i.e., theprofessional antigen presenting cells, which are the principal target of CAEV, and whose activity, e.g., cytokine production,is modulated by the infection, and the B- and T-cell immune responses that are alsomanipulated by the virus.In vivo,infected animals usually have low viral loads, indicating that virus replication istightly restricted by mechanisms thatremain unclear. Finally, the complex biology of SRLV makes them a great challenge for diagnostic laboratories.In this brief review, the literature pertinent toall these aspects is summarized and discussed.

Building an Academic Cloud for 500,000 Users

Under the brand name “sciebo – the Campuscloud” (derived from “science box”) a consortium of more than 20 research and applied science universities started a large scale cloud service for about 500,000 students and researchers in North Rhine-Westphalia, Germany’s most populous state. Starting with the much anticipated data privacy compliant sync & share functionality, sciebo offers the potential to become a more general cloud platform for collaboration and research data management which will be actively pursued in upcoming scientific and infrastructural projects. This project report describes the formation of the venture, its targets and the technical and the legal solution as well as the current status and the next steps.

Virtual Membrane Systems

Within the membrane computing research field, there are many papers about software simulations and a few about hardware implementations. In both cases, algorithms for implementing membrane systems in software and hardware that try to take advantages of massive parallelism are implemented. P-systems are parallel and non deterministic systems which simulate membranes behavior when processing information. This paper presents software techniques based on the proper utilization of virtual memory of a computer. There is a study of how much virtual memory is necessary to host a membrane model. This method improves performance in terms of time.

Polynomial approximation using particle swarm optimization of lineal enhanced neural networks with no hidden layers.

This paper presents some ideas about a new neural network architecture that can be compared to a Taylor analysis when dealing with patterns. Such architecture is based on lineal activation functions with an axo-axonic architecture. A biological axo-axonic connection between two neurons is defined as the weight in a connection in given by the output of another third neuron. This idea can be implemented in the so called Enhanced Neural Networks in which two Multilayer Perceptrons are used; the first one will output the weights that the second MLP uses to computed the desired output. This kind of neural network has universal approximation properties even with lineal activation functions. There exists a clear difference between cooperative and competitive strategies. The former ones are based on the swarm colonies, in which all individuals share its knowledge about the goal in order to pass such information to other individuals to get optimum solution. The latter ones are based on genetic models, that is, individuals can die and new individuals are created combining information of alive one; or are based on molecular/celular behaviour passing information from one structure to another. A swarm-based model is applied to obtain the Neural Network, training the net with a Particle Swarm algorithm.

Experiences of spanish public administration in requirements management and acquisition management processes

This paper shows the main contributions of the 1st Symposium on Improvement Process Models and Software Quality of Public Administrations. The obtained results expose the need to promote the implementation of Software Maturity Models and show possible advantages of its application in software processes of Public Administrations. Specifically, it was analyzed the current status in two process areas: Requirements Management and Subcontracting Management.

Modeling, simulation and application of bacterial transduction in genetic algorithms

At present, all methods in Evolutionary Computation are bioinspired by the fundamental principles of neo-Darwinism, as well as by a vertical gene transfer. Virus transduction is one of the key mechanisms of horizontal gene propagation in microorganisms (e.g. bacteria). In the present paper, we model and simulate a transduction operator, exploring the possible role and usefulness of transduction in a genetic algorithm. The genetic algorithm including transduction has been named PETRI (abbreviation of Promoting Evolution Through Reiterated Infection). Our results showed how PETRI approaches higher fitness values as transduction probability comes close to 100%. The conclusion is that transduction improves the performance of a genetic algorithm, assuming a population divided among several sub-populations or ?bacterial colonies?.

Prion crystalization model and its application to recognition pattern

This paper introduces APA (?Artificial Prion Assembly?): a pattern recognition system based on artificial prion crystalization. Specifically, the system exhibits the capability to classify patterns according to the resulting prion self- assembly simulated with cellular automata. Our approach is inspired in the biological process of proteins aggregation, known as prions, which are assembled as amyloid fibers related with neurodegenerative disorders.

Overlapping Range Images using Genetics Algorithms

El artículo aborda el problema del encaje de diversas imágenes de una misma escena capturadas por escáner 3d para generar un único modelo tridimensional. Para ello se utilizaron algoritmos genéticos. ABSTRACT: This work introduces a solution based on genetic algorithms to find the overlapping area between two point cloud captures obtained from a three-dimensional scanner. Considering three translation coordinates and three rotation angles, the genetic algorithm evaluates the matching points in the overlapping area between the two captures given that transformation. Genetic simulated annealing is used to improve the accuracy of the results obtained by the genetic algorithm.

Implementing Transition P Systems

Ponencia en el Congreso NIT 2010

Polynomial regression using a perceptron with axo-axonic connections

Social behavior is mainly based on swarm colonies, in which each individual shares its knowledge about the environment with other individuals to get optimal solutions. Such co-operative model differs from competitive models in the way that individuals die and are born by combining information of alive ones. This paper presents the particle swarm optimization with differential evolution algorithm in order to train a neural network instead the classic back propagation algorithm. The performance of a neural network for particular problems is critically dependant on the choice of the processing elements, the net architecture and the learning algorithm. This work is focused in the development of methods for the evolutionary design of artificial neural networks. This paper focuses in optimizing the topology and structure of connectivity for these networks