Automated Coronal Hole Identification via Multi-Thermal Intensity Segmentation

Coronal holes (CH) are regions of open magnetic fields that appear as dark areas in the solar corona due to their low density and temperature compared to the surrounding quiet corona. To date, accurate identification and segmentation of CHs has been a difficult task due to their comparable intensity to local quiet Sun regions. Current segmentation methods typically rely on the use of single EUV passband and magnetogram images to extract CH information. Here, the Coronal Hole Identification via Multi-thermal Emission Recognition Algorithm (CHIMERA) is described, which analyses multi-thermal images from the Atmospheric Image Assembly (AIA) onboard the Solar Dynamics Observatory (SDO) to segment coronal hole boundaries by their intensity ratio across three passbands (171 \AA, 193 \AA, and 211 \AA). The algorithm allows accurate extraction of CH boundaries and many of their properties, such as area, position, latitudinal and longitudinal width, and magnetic polarity of segmented CHs. From these properties, a clear linear relationship was identified between the duration of geomagnetic storms and coronal hole areas. CHIMERA can therefore form the basis of more accurate forecasting of the start and duration of geomagnetic storms

Shock Tube Determination of Autoionization Lifetime and Oscillator Strengths of the 352 3P 2Po-353P2 2S1/2 Doublet of Al I Scientific Report No. 2

Shock tube measurement of autoionization lifetime and oscillator strengths of states above first ionization potential for aluminu

On the 6s6p2 2S1/2 Level and the Configuration-mixing of the 6s6p2 4P3/2 Level in T1I Scientific Report No. 11

Absorption spectrum of shock heated thallium vapo

Preparing Our Kids for Education, Work and Life: A Report of the Task Force on Youth Aging Out

Summarizes a study of Massachusetts youth transitioning out of foster care, and offers recommendations for policies, practices, and resource conditions, including "Five Core Resources" to prepare them for higher education, work, and adulthood

Absorption line series and autoionization resonance structure analysis in the ultraviolet spectrum of Sr I

Photoelectric spectrometer to measure absorption line series and autoionization resonance in ultraviolet spectrum of strontium vapo

Functional characterization of the \u3ci\u3eArabidopsis thaliana\u3c/i\u3e orthologue of Tsc13p, the enoyl reductase of the yeast microsomal fatty acid elongating system

The protein encoded by the Arabidopsis At3g55360 gene was selected as a candidate for the enoyl reductase of the microsomal elongase system based on its homology to the Tsc13p protein of S. cerevisiae. The studies presented here demonstrate that heterologous expression of At3g55360 functionally complements the temperature-sensitive phenotype of a yeast tsc13 mutant that is deficient in enoyl reductase activity. Furthermore, AtTSC13 is shown to interact physically with the Elo2p and Elo3p components of the yeast elongase complex. At3g55360 apparently encodes the sole enoyl reductase activity associated with microsomal fatty acid elongation in Arabidopsis. Consistent with this conclusion, AtTSC13 is ubiquitously expressed in Arabidopsis

UTSim: overview and application

UTSim is a software package developed to help plan and refine ultrasonic inspections for complex shaped components. The software reads 3D solid‐model CAD representations of the components. Virtually any shape or complexity of object can be loaded and examined using the ultrasonic ray tracing tools in UTSim. For many applications, the software can also be used to model ultrasonic beam propagation as well as the response from flaws within a component. This presentation will give an overview of UTSim and its features and will demonstrate examples of its ultrasonic simulation capabilities

Analysis of Neighbourhoods in Multi-layered Dynamic Social Networks

Social networks existing among employees, customers or users of various IT systems have become one of the research areas of growing importance. A social network consists of nodes - social entities and edges linking pairs of nodes. In regular, one-layered social networks, two nodes - i.e. people are connected with a single edge whereas in the multi-layered social networks, there may be many links of different types for a pair of nodes. Nowadays data about people and their interactions, which exists in all social media, provides information about many different types of relationships within one network. Analysing this data one can obtain knowledge not only about the structure and characteristics of the network but also gain understanding about semantic of human relations. Are they direct or not? Do people tend to sustain single or multiple relations with a given person? What types of communication is the most important for them? Answers to these and more questions enable us to draw conclusions about semantic of human interactions. Unfortunately, most of the methods used for social network analysis (SNA) may be applied only to one-layered social networks. Thus, some new structural measures for multi-layered social networks are proposed in the paper, in particular: cross-layer clustering coefficient, cross-layer degree centrality and various versions of multi-layered degree centralities. Authors also investigated the dynamics of multi-layered neighbourhood for five different layers within the social network. The evaluation of the presented concepts on the real-world dataset is presented. The measures proposed in the paper may directly be used to various methods for collective classification, in which nodes are assigned to labels according to their structural input features.Comment: 16 pages, International Journal of Computational Intelligence System

Neuropeptide Y concentrations in cerebrospinal fluid are unchanged in obesity

Neuropeptide Y (NPy) is a potent centrally acting appetite-stimulating peptide implicated in the regulation of energy balance. It induces hyperphagia and obesity when injected into the rat hypothalamus. Hypothalamic NPY and NPY mRNA levels are increased in spontaneously obese rats, suggesting that it may be involved in causing obesity in rodents. It is not known whether NPY has a role in the pathogenesis of obesity in man. NPY is found in human cerebrospinal fluid (CSF) and we have therefore compared CSF NPY levels in normal obese and non-obese individuals to determine whether NPY concentrations might be increased in obesity. We studied 25 clinically normal subjects (age 67 ± 5 years. male 11. female 14) undergoing spinal anaesthesia. None had any significant illness. Samples of 1 ml were freeze-dried and reconstituted to 100 ul and 35ul aliquots were assayed for NPY using an in-house RIA. CSF NPY levels were not correlated with body mass index (BMI) (r=O.088. p=O.673) and there were no differences in NPY concentrations between groups of subjects stratified for BMI: BMI 25 (n=ll), 702 ± 55 fmol/ml (differences between all groups. p>0l). CSF NPY levels are therefore not increased in human obesity. NPY is found in many brain regions outside the hypothalamic appetite-regulating nuclei, which could contribute to CSF levels. This negative observation does not therefore exclude a role of the peptide, acting specifically in the hypothalamus, in contributing to human obesity