IPH response to PPS 12: Draft Policy HS 3 (Amended) Travellers Accommodation

The Amendment to Policy HS 3 of PPS 12 furthers the Minister’s commitment to meeting the distinctive accommodation needs of travellers. The existing policy HS 3 contained in PPS 12 provides for grouped housing, serviced sites, and transit sites for travellers within, adjoining or in close proximity to settlements. However, outside settlements there is only limited provision for grouped housing and transit sites – not serviced sites. This amendment provides policy for serviced sites for travellers outside settlements.

PEG-b-PPS diblock copolymer aggregates for hydrophobic drug solubilization and release: cyclosporin A as an example

Micelles formed from amphiphilic block copolymers have been explored in recent years as carriers for hydrophobic drugs. In an aqueous environment, the hydrophobic blocks form the core of the micelle, which can host lipophilic drugs, while the hydrophilic blocks form the corona or outer shell and stabilize the interface between the hydrophobic core and the external medium. In the present work, mesophase behavior and drug encapsulation were explored in the AB block copolymeric amphiphile composed of poly(ethylene glycol) (PEG) as a hydrophile and poly(propylene sulfide) PPS as a hydrophobe, using the immunosuppressive drug cyclosporin A (CsA) as an example of a highly hydrophobic drug. Block copolymers with a degree of polymerization of 44 on the PEG and of 10, 20 and 40 on the PPS respectively (abbreviated as PEG44-b-PPS10, PEG44-b-PPS20, PEG44-b-PPS40) were synthesized and characterized. Drug-loaded polymeric micelles were obtained by the cosolvent displacement method as well as the remarkably simple method of dispersing the warm polymer melt, with drug dissolved therein, in warm water. Effective drug solubility up to 2 mg/mL in aqueous media was facilitated by the PEG- b-PPS micelles, with loading levels up to 19% w/w being achieved. Release was burst-free and sustained over periods of 9-12 days. These micelles demonstrate interesting solubilization characteristics, due to the low glass transition temperature, highly hydrophobic nature, and good solvent properties of the PPS block

Audiosystem´s PPS Ltda : análisis estructural del sector y consolidación de la ventaja competitiva

Audiosystem´s pps Ltda actualmente se dedica a la elaboración y comercialización de estuches Racks o Flightcases, posesionándose nacionalmente como la mejor en este mercado. Así mismo la empresa presta servicios de alquiler de maquinaria especializada para eventos y espectáculos reconociéndose a nivel local como una de las más importantes. En la actualidad la empresa pertenece al sector de Alquiler de otro tipo de maquinaria, pero los mismos integrantes del sector pertenecientes al área de eventos lo han adoptado como: “sector de equipos especializados para eventos”. Este trabajo tiene dos grandes secciones en la primera se realiza el estudio estructural del sector estratégico, se define la cadena de valor y la posición estratégica de la empresa Y en la segunda parte se realiza un estudio Matricial con el fin de evaluar y adoptar nuevas estrategias. En el sector analizado se realizan diferentes pruebas y estudios para determinar si presenta diferentes fenómenos como el Hacinamiento igualmente se realiza el levantamiento del panorama competitivo con el fin de analizar si este sector puede encontrar nuevas oportunidades, así mismo el análisis estructural de las fuerzas del mercado ubica al sector y a la empresa dentro de un panorama de rentabilidad donde se tienen en cuenta las barreras de entrada y salida, en el análisis de Competencia se realizan una serie de cálculos tanto del sector como de la empresa con el fin de determinar la situación actual de su estrategia. En cuanto a la definición de la posición estratégica y la cadena de valor el estudio se realiza ya solamente para la empresa. El análisis matricial es un compendio de matrices que evalúan variables y circunstancias tanto externas como internas que afectan o benefician la estrategia que la empresa trabajada actualmente y ayuda a determinar el buen encaminamiento de lo propuesto en la primera parte.

Mathematical tests about the existence and applications of PPS-wavelets in function approximation problems

Neural networks and wavelet transform have been recently seen as attractive tools for developing eficient solutions for many real world problems in function approximation. Function approximation is a very important task in environments where computation has to be based on extracting information from data samples in real world processes. So, mathematical model is a very important tool to guarantee the development of the neural network area. In this article we will introduce one series of mathematical demonstrations that guarantee the wavelets properties for the PPS functions. As application, we will show the use of PPS-wavelets in pattern recognition problems of handwritten digit through function approximation techniques.

Comparative study between RBF and radial-PPS neural networks

The study of function approximation is motivated by the human limitation and inability to register and manipulate with exact precision the behavior variations of the physical nature of a phenomenon. These variations are referred to as signals or signal functions. Many real world problem can be formulated as function approximation problems and from the viewpoint of artificial neural networks these can be seen as the problem of searching for a mapping that establishes a relationship from an input space to an output space through a process of network learning. Several paradigms of artificial neural networks (ANN) exist. Here we will be investigated a comparative of the ANN study of RBF with radial Polynomial Power of Sigmoids (PPS) in function approximation problems. Radial PPS are functions generated by linear combination of powers of sigmoids functions. The main objective of this paper is to show the advantages of the use of the radial PPS functions in relationship traditional RBF, through adaptive training and ridge regression techniques.

Multidimensional polynomial powers of sigmoid (PPS) Wavelet neural networks

Wavelet functions have been used as the activation function in feedforward neural networks. An abundance of R&D has been produced on wavelet neural network area. Some successful algorithms and applications in wavelet neural network have been developed and reported in the literature. However, most of the aforementioned reports impose many restrictions in the classical backpropagation algorithm, such as low dimensionality, tensor product of wavelets, parameters initialization, and, in general, the output is one dimensional, etc. In order to remove some of these restrictions, a family of polynomial wavelets generated from powers of sigmoid functions is presented. We described how a multidimensional wavelet neural networks based on these functions can be constructed, trained and applied in pattern recognition tasks. As an example of application for the method proposed, it is studied the exclusive-or (XOR) problem.

Human face verification based on multidimensional Polynomial Powers of Sigmoid (PPS)

In this paper, we described how a multidimensional wavelet neural networks based on Polynomial Powers of Sigmoid (PPS) can be constructed, trained and applied in image processing tasks. In this sense, a novel and uniform framework for face verification is presented. The framework is based on a family of PPS wavelets,generated from linear combination of the sigmoid functions, and can be considered appearance based in that features are extracted from the face image. The feature vectors are then subjected to subspace projection of PPS-wavelet. The design of PPS-wavelet neural networks is also discussed, which is seldom reported in the literature. The Stirling Universitys face database were used to generate the results. Our method has achieved 92 % of correct detection and 5 % of false detection rate on the database.

Efeito da degradação ambiental nas propriedades de cisalhamento de compósitos PPS/fibra de carbono

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

Análise do efeito higrotérmico no comportamento em fadiga de compósitos de PPS/fibras de carbono

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

Feedforward neural networks based on PPS-wavelet activation functions

Function approximation is a very important task in environments where computation has to be based on extracting information from data samples in real world processes. Neural networks and wavenets have been recently seen as attractive tools for developing efficient solutions for many real world problems in function approximation. In this paper, it is shown how feedforward neural networks can be built using a different type of activation function referred to as the PPS-wavelet. An algorithm is presented to generate a family of PPS-wavelets that can be used to efficiently construct feedforward networks for function approximation.

The effect of the ocean water immersion and UV ageing on the dynamic mechanical properties of the PPS/glass fiber composites

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

Determination of density of states in PPS from space-charge-limited current measurements

Space-charge-limited currents measurements have been carried out on undoped amorphous poly p-phenylene sulfide. The scaling law is checked for different samples with varying thickness, and J-V data analyzed. The position of the quasi-Fermi level and the density of states was obtained.

Avaliação dos parâmetros de soldagem para compósitos de PPS/fibras contínuas com aplicações aeronáuticas

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

Efeito do condicionamento ambiental em compósitos soldados de PPS/fibras contínuas

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estudo dos critérios de falhas em compósitos PPS/fibras de carbono utilizando elementos finitos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)