Annotated record of the detailed examination of Mn deposits from R/V Xiang Yang Hong 16 stations (1983) in the Pacific Ocean

Electron microprobe and X-ray diffraction data for north Pacific manganese nodules reveal that the transition metal distributions are controlled by the mineralogy. Microlayers rich in 10Å-manganates generally have high Mn/Fe ratios and positive correlations between Ni, Cu and Mn, and between Co and Fe. Microlayers rich in vernadite, on the other hand, show low Mn/Fe ratios, and Co, Ni and Cu all show positive correlations with Mn. The 10Å-manganates form mainly in porewaters with high Mn/Fe ratios. The Ni2+ and Cu2+ ions are post-depositionally incorporated into the interlayers of the manganates, whereas Co3+ is substituted for Fe3+ in ferric oxyhydroxides. In seawater with a low Mn/Fe ratio, on the other hand, the adsorption of positively charged ferric oxyhydroxides on negatively charged [MnO6] octahedral layers suppresses the growth of 10Å-manganates, enhancing the formation of vernadite. Positively charged hydroxides of Co3+, Ni2+ and Cu2+ are also adsorbed on the [MnO6] layers. These mechanisms of mineral formation and metal uptake are corroborated by data for other oceanic non-hydrothermal manganese nodules and crusts.

Estimate of the (R)USLE rainfall erosivity factor from monthly precipitation data in mainland Spain

The need for continuous recording rain gauges makes it difficult to determine the rainfall erosivity factor (R-factor) of the (R)USLE model in areas without good temporal data coverage. In mainland Spain, the Nature Conservation Institute (ICONA) determined the R-factor at few selected pluviographs, so simple estimates of the R-factor are definitely of great interest. The objectives of this study were: (1) to identify a readily available estimate of the R-factor for mainland Spain; (2) to discuss the applicability of a single (global) estimate based on analysis of regional results; (3) to evaluate the effect of record length on estimate precision and accuracy; and (4) to validate an available regression model developed by ICONA. Four estimators based on monthly precipitation were computed at 74 rainfall stations throughout mainland Spain. The regression analysis conducted at a global level clearly showed that modified Fournier index (MFI) ranked first among all assessed indexes. Applicability of this preliminary global model across mainland Spain was evaluated by analyzing regression results obtained at a regional level. It was found that three contiguous regions of eastern Spain (Catalonia, Valencian Community and Murcia) could have a different rainfall erosivity pattern, so a new regression analysis was conducted by dividing mainland Spain into two areas: Eastern Spain and plateau-lowland area. A comparative analysis concluded that the bi-areal regression model based on MFI for a 10-year record length provided a simple, precise and accurate estimate of the R-factor in mainland Spain. Finally, validation of the regression model proposed by ICONA showed that R-ICONA index overpredicted the R-factor by approximately 19%.

Proposing the deep dynamic Bayesian network as a future computer based medical system

The development of new learning models has been of great importance throughout recent years, with a focus on creating advances in the area of deep learning. Deep learning was first noted in 2006, and has since become a major area of research in a number of disciplines. This paper will delve into the area of deep learning to present its current limitations and provide a new idea for a fully integrated deep and dynamic probabilistic system. The new model will be applicable to a vast number of areas initially focusing on applications into medical image analysis with an overall goal of utilising this approach for prediction purposes in computer based medical systems.

State of Iowa Outcomes Monitoring System Year 16 Annual Evaluation Report, September 2014

The Outcomes Monitoring System (OMS) was established to systematically gather data on substance abuse treatment outcomes in Iowa. Randomly selected clients from 22 Iowa Department of Public Health-funded treatment agencies were contacted for follow-up interviews that occurred approximately six months after discharge from treatment. This report examines outcomes for clients admitted in calendar year 2013. Outcomes are presented for 334 of the clients who completed the follow-up interview.

Implementation of a computerized assessment system by using backpropagation neural networks with R and shiny

Las dificultades a las que los estudiantes se enfrentan y su lucha por dominar los temas, podría aumentar como consecuencia de la inadecuada utilización de materiales de evaluación. Generalmente se encuentran en el aula alumnos que hacen buen uso del material de los cursos y de una manera rápida, mientras que otros presentan dificultades con el aprendizaje del material. Esta situación es fácilmente visto en los resultados de los exámenes, un grupo de estudiantes podrían obtener buenas calificaciones animándoles, mientras que otros obtendrían la mala percepción de que los temas son difíciles, y en algunos casos, obligándolos a abandonar el curso o en otros casos a cambiar de carrera. Creemos que mediante el uso de técnicas de aprendizaje automático, y en nuestro caso la utilización de redes neuronales, sería factible crear un entorno de evaluación que podrían ajustarse a las necesidades de cada estudiante. Esto último disminuiría la sensación de insatisfacción de los alumnos y el abandono de los cursos.

Miradouro Virtual(R)

Esta tese pretende descrever o desenvolvimento e arquitectura do software que constitui o Miradouro Virtual@, mais especificamente do componente referente à interface. O Miradouro Virtual@ é um dispositivo cujo propósito à semelhança dos tradicionais binóculos turísticos, é observar a paisagem, mas cuja interacção não está limitada à simples observação individual. Recorre à realidade aumentada para sobrepôr imagens geradas por computador a imagens reais, capturadas por um dispositivo para aquisição de imagem real (tipicamente uma câmara de vídeo), e mostra-as num ecrã touchscreen, permitindo deste modo, combinar elementos virtuais e multimédia com a paisagem real. A imagem final, composta, dá ao utilizador uma nova dimensão do espaço envolvente, permitindo-lhe explorar uma nova camada de informação não visível anteriormente. Sendo sensíveis à orientação do Miradouro Virtual@, os elementos virtuais e multimédia adaptam-se de acordo com os movimentos do dispositivo. O Miradouro Virtual@ é um produto composto por diversos elementos de hardware e software. O foco desta tese recai apenas nos componentes de software, mais especificamente na interface. Pretende dar a conhecer as limitações da versão anterior do software e mostrar as soluções encontradas que permitiram ultrapassar algumas dessas limitações. ABSTRACT; This thesis focuses on the design and development of the Virtual Sightseeing™ software, more specifically on the interface component. The Virtual Sightseeing™ is a device similar to the traditional scenic viewers that takes advantage of its generally known and popularity to build an innovative system. It works by using augmented reality to superimpose, in real-time, images generated by a computer onto a live stream captured by a video camera and displaying them on a touchscreen display. It allows adding multimedia elements to the real scenery by composing them in the image that is presented to the user. The multimedia information and virtual elements that are displayed are sensitive to the orientation and position of the device. They change as the user manually changes the orientation of the device. The Virtual Sightseeing™ is comprised of several hardware and software components. The focus of this thesis is on the software part, more specifically on the interface component. It intends to show the known limitations of the previous software version and how they were overcome in this new version.

An immune inspired Network Intrusion Detection System utilising correlation

Network Intrusion Detection Systems (NIDS) are computer systems which monitor a network with the aim of discerning malicious from benign activity on that network. While a wide range of approaches have met varying levels of success, most IDSs rely on having access to a database of known attack signatures which are written by security experts. Nowadays, in order to solve problems with false positive alerts, correlation algorithms are used to add additional structure to sequences of IDS alerts. However, such techniques are of no help in discovering novel attacks or variations of known attacks, something the human immune system (HIS) is capable of doing in its own specialised domain. This paper presents a novel immune algorithm for application to the IDS problem. The goal is to discover packets containing novel variations of attacks covered by an existing signature base.

Pinnacles National Monument : T. 16 & 17S. R. 7E /

"N.M. PIN. 7001 4/3/40."

Avaliação dos impactos do fomento florestal com eucalipto pelo INOVA-Tec System.

O Setor florestal brasileiro utiliza como fonte de suprimento de matéria-prima, madeira oriunda exclusivamente de florestas plantadas, sejam estas em terras próprias ou por meio de cultivo em terras de terceiros, que pode se dar por meio de contratos de arrendamento ou de programas de fomento florestal. Este trabalho propõe o emprego de uma metodologia destinada a avaliação dos impactos desta atividades tecnológicas pelo Inova-tec System. O método INOVA-Tec System consiste de um sistema que permite a análise: i) do cenário para esenvolvimento do programa a partir da geração do índice de significância, e ii) da avaliação do desempenho do programa, pela análise dos indicadores de desempenho que irão compor o índice de magnitude. De posse destes dados, fica mais fácil para o avaliador elaborar a sua lista de recomendações para garantir o adequado manejo da cultura e melhorar o gerenciamento dos impactos, de modo a mitigar a característica potencialmente problemática para o ambiente e para a sociedade. Pela metodologia a cultura é vantajosa em relação à culturas agrícolas sob todos os indicadores avaliados.

The IUE INES System: Improved data extraction procedures for IUE

We present the extraction and processing of the IUE Low Dispersion spectra within the framework of the ESA “IUE Newly Extracted Spectra” (INES) System. Weak points of SWET, the optimal extraction implementation to produce the NEWSIPS output products (extracted spectra) are discussed, and the procedures implemented in INES to solve these problems are outlined. The more relevant modifications are: 1) the use of a new noise model, 2) a more accurate representation of the spatial profile of the spectrum and 3) a more reliable determination of the background. The INES extraction also includes a correction for the contamination by solar light in long wavelength spectra. Examples showing the improvements obtained in INES with respect to SWET are described. Finally, the linearity and repeatability characteristics of INES data are evaluated and the validity of the errors provided in the extraction is discussed.