Hyperspectral colon tissue cell classification

A novel algorithm to discriminate between normal and malignant tissue cells of the human colon is presented. The microscopic level images of human colon tissue cells were acquired using hyperspectral imaging technology at contiguous wavelength intervals of visible light. While hyperspectral imagery data provides a wealth of information, its large size normally means high computational processing complexity. Several methods exist to avoid the so-called curse of dimensionality and hence reduce the computational complexity. In this study, we experimented with Principal Component Analysis (PCA) and two modifications of Independent Component Analysis (ICA). In the first stage of the algorithm, the extracted components are used to separate four constituent parts of the colon tissue: nuclei, cytoplasm, lamina propria, and lumen. The segmentation is performed in an unsupervised fashion using the nearest centroid clustering algorithm. The segmented image is further used, in the second stage of the classification algorithm, to exploit the spatial relationship between the labeled constituent parts. Experimental results using supervised Support Vector Machines (SVM) classification based on multiscale morphological features reveal the discrimination between normal and malignant tissue cells with a reasonable degree of accuracy

Magnetic properties of Mn-doped Ge46 and Ba8Ge46 clathrates

We present a detailed study of the magnetic properties of unique cluster assembled solids namely Mn doped Ge46 and Ba8Ge46 clathrates using density functional theory. We find that ferromagnetic (FM) ground states may be realized in both the compounds when doped with Mn. In Mn2Ge44, ferromagnetism is driven by hybridization induced negative exchange splitting, a generic mechanism operating in many diluted magnetic semiconductors. However, for Mn-doped Ba8Ge46 clathrates incorporation of conduction electrons via Ba encapsulation results in RKKY-like magnetic interactions between the Mn ions. We show that our results are consistent with the major experimental observations for this system.Comment: 6 pages, 4 figure

Parallel simulation of character recognition problems using NEUCOMP2

NEUCOMP2 is a parallel Neural Network Compiler for a shared-memory parallel machine. It compiles a program written as a list of mathematical specifications of Neural Network (NN) models and then translates it into a chosen target program which contains parallel codes. Performance results for character recognition problems on popular NN models are presented. The models are the backpropagation, Kohonen, Counterpropagation and ART1 network models. NEUCOMP2 was developed and run on the SEQUENT Balance 8000 computer system at PARC

Does an Intervention Designed to Improve Self-management, Social Support and Awareness of Palliative-care Address Needs of Persons with Heart Failure, Family Caregivers and Clinicians?

Aims and Objectives To conduct a formative evaluation of the iPad‐Enhanced Shared Care Intervention for Partners (iSCIP) among persons with heart failure (HF), family caregivers and clinicians. Together, persons with HF and family caregivers are referred to as partners. Background There is growing awareness of the caregiver\u27s contributions to HF self‐management, social support and reciprocal benefits of interventions that involve both partners. The iSCIP engages both partners in a six‐session psychosocial intervention to address three preventable causes of poor outcomes in a HF population: poor self‐management skills, inadequate social support and underutilisation of palliative care. An iPad app is used to organise the intervention. The goals of the iSCIP are to engage partners in HF self‐management, communication about the HF patient\u27s care values and preferences, and future planning. Design A qualitative focus group design was used. Methods Seven clinicians and eight partners participated in focus groups to explore their experiences, needs and reaction to the iSCIP content and technologies employed. Open‐ended questions and closed‐ended surveys were used to collect data. Deductive content analysis was used to analyse the qualitative data. NVivo software was used for qualitative data analysis. Bayesian statistical models were used to analyse numeric data. Results The iSCIP met partners’ and clinicians’ needs to improve self‐management, communicate about care values and preferences and plan for the future. Quantitative analysis of numeric data supported our qualitative findings, in that both groups rated the intervention components useful to very useful. Implications for practice These findings add to the growing evidence of the feasibility and acceptability of programs that address care values and preferences, and care planning. The iSCIP can be used as a guide for developing interventions and software applications, which involve both partners in care and palliative‐care discussions

Macroeconomic Policies Interaction & the Symmetry of Financial Markets' Responses

This concise study analyses the symmetry of financial markets` responses to macroeconomic policy interaction in the United Kingdom. Employing the Vector Auto-regression (VAR) model on monthly data of the British financial sector and macroeconomic policies from January 1985 to August 2008, this study found that the equity and sovereign debt markets showed identical symmetry in response to macroeconomic policy interaction

Financial and economic stability as ‘two sides of a coin’: Non-crisis regime evidence from the UK based on VECM

Purpose – The purpose of this paper is to provide a different context for considering issues of financial stability and instability, with reference to economic growth and price stability in particular. Design/methodology/approach – This paper pursued an empirical exploration of six pillars of financial stability, based on a data set for the UK extending from 1985 (Q1) to 2008 (Q2), through the construction of a vector error correction model, including an impulse response function analysis. Findings – The findings show a strong association between the financial and economic stability even in a non-crisis regime. This includes, for example, a strong association exists between the stock market and the real economy; exchange rate appreciation may not provide for long-term real economic growth; inflation does not contribute to real economic growth, both the sensitivity of the economy to yields and a significant lag in transitional effects from financial markets to the real sector; a positive role of credit creation within a non-crisis regime; exchange rate appreciation affects purchasing power; and potential points of linkage between sovereign debt activity and general price levels. Research limitations/implications – The findings should be considered in the context of a concept of the economy as fundamentally dynamic and subject to complex cumulative processes. Practical implications – The findings indicate there is a role for state oversight and intervention within a non-crisis regime based on the complexity of possible interactions that may undermine financial and price stability, with consequences for their association with economic growth. Originality/value – The study provides a new perspective for considering issues of financial stability and instability

Teacher Candidates and Latina/o English Learners at Fenton Elementary School: The Role of Early Clinical Experiences in Urban Teacher Education

This study investigates how early clinical experiences impact teacher candidates’ learning and experiences with Latina/o English learners in a field-based program housed in a multilingual, urban elementary school. We draw on multiple-case study design and use discourse analysis to explore cases of three candidates. Findings reveal exploration of additive language policies, use of cultural tools in academic contexts, and linguistic validity in assessments

Economic Growth, Exchange Rate and Constrained Competiveness of the Tourism Sector in Andalucía

This paper examines the relationship between tourism and economic growth, analyzing key factors affecting tourism income in Andalucía, Spain. Based on time series annual data for the period 2005 to 2012 and a multiple regression analysis we show that international tourism has made an important contribution to Andalucía’s economic growth. Some of the factors considered in the analysis include the number of luxury hotels, the hotel price index and the exchange rate, though the latter is outside of the control of local authorities under the European Monetary Union (EMU)