Exploring the Relationships between Executive Functions and The Big Five Personality Traits using the Behavior Rating Inventory of Executive Functioning-Adult Form

The purpose of the study was to examine the relationship between three subscales of the Behavior Rating Inventory of Executive Function-Adult Form (BRIEF-A) and the Big Five personality traits. The data used for this study consists of 126 hearing, college age participants from the Rochester Institute of Technology who were used as a control group for a previous study. As hypothesized, Emotional Regulation and Shift scales of the BRIEF shared a significant negative correlation with Neuroticism. Contrary to the hypothesis, the scale Inhibit shared a positive correlation with Agreeableness and Conscientiousness. Shift was significantly correlated with Openness to Experience. No relationship was found between Inhibit and Extraversion and Neuroticism, as was initially hypothesized (Jackson, 2005, and Wolfe and Kasmer, 1998)

The Effects of Instruction in Prereading Strategies on Reading Comprehension

This study evaluated the effects of instruction in prereading strategies on reading comprehension. Through using Running Reading Records as an assessment tool, I compared reading growth over an eight week period without prereading instruction against reading growth over an eight week period with prereading instruction . This study consisted of 12 students over a sixteen week period . Running Reading Records were initially given in order to find each student\u27s instructional reading level. Over the course of eight weeks, I instructed the students, in small groups according to their ability level, in guided reading groups. After eight weeks, Running Reading Records were given in order to determine each child\u27s reading growth over a period of eight weeks used as a pretest. After that, I continued with another eight weeks of reading instruction, but this time I used prereading strategies in the small groups. After eight weeks, Running Reading Records were evaluated again as a posttest. The results were evaluated quantitatively using a t test, as I compared the reading growth from the first set of eight weeks with the reading growth from the second time period . The findings strongly favored the treatment group although it did not show statistical significance

Selecting background galaxies in weak-lensing analysis of galaxy clusters

In this paper, we present a new method to select the faint, background galaxies used to derive the mass of galaxy clusters by weak lensing. The method is based on the simultaneous analysis of the shear signal, that should be consistent with zero for the foreground, unlensed galaxies, and of the colors of the galaxies: photometric data from the COSMic evOlution Survey are used to train the color selection. In order to validate this methodology, we test it against a set of state-of-the-art image simulations of mock galaxy clusters in different redshift [$0.23-0.45$] and mass [$0.5-1.55\times10^{15}M_\odot$] ranges, mimicking medium-deep multicolor imaging observations (e.g. SUBARU, LBT). The performance of our method in terms of contamination by unlensed sources is comparable to a selection based on photometric redshifts, which however requires a good spectral coverage and is thus much more observationally demanding. The application of our method to simulations gives an average ratio between estimated and true masses of $\sim 0.98 \pm 0.09$. As a further test, we finally apply our method to real data, and compare our results with other weak lensing mass estimates in the literature: for this purpose we choose the cluster Abell 2219 ($z=0.228$), for which multi-band (BVRi) data are publicly available.Comment: MNRAS, Accepted 2016 February 2

Closing the loop of SIEM analysis to Secure Critical Infrastructures

Critical Infrastructure Protection is one of the main challenges of last years. Security Information and Event Management (SIEM) systems are widely used for coping with this challenge. However, they currently present several limitations that have to be overcome. In this paper we propose an enhanced SIEM system in which we have introduced novel components to i) enable multiple layer data analysis; ii) resolve conflicts among security policies, and discover unauthorized data paths in such a way to be able to reconfigure network devices. Furthermore, the system is enriched by a Resilient Event Storage that ensures integrity and unforgeability of events stored.Comment: EDCC-2014, BIG4CIP-2014, Security Information and Event Management, Decision Support System, Hydroelectric Da

Synergistic effects of zinc borate and aluminiumtrihydroxide on flammability behaviour of aerospaceepoxy system

The flame retardancy of mono-component epoxy resin (RTM6), widely used for aerospace composites, treated with zinc borate (ZB), aluminium trihydroxide (ATH) and their mixtures at different concentrations have been investigated by morphological and thermal characterization. Cone calorimeter data reveal that combustion behaviour, heat release rate peak (PHRR) and heat release rate average (HRR Average) of RTM6 resin decrease substantially when synergistic effects of zinc borate and aluminium trihydroxide intervene. Thermogravimetric (TGA) results and analysis of the residue show that addition higher than 20% w/w of ZB, ATH, and their mixture greatly promotes RTM6 char formation acting as a barrier layer for the fire development. Depending upon the different used flame additives, SEM micrographs indicate that the morphology of residual char could vary from a compact amalgam-like structure, for the RTM6+ZB system, to a granular structure, characterized by very small particles of degraded resin and additive for the AT