Halo nuclei in a three-body model and universal characteristics of low-energy few-body systems

Within general characteristics of low-energy few-body systems, we revise some well-known correlations found in nuclear physics, and the properties of low-mass halo nuclei in a three-body neutron-neutron-core model. In this context, near the critical conditions for the occurrence of an Efimov state, we report some results obtained for the neutron- 19C elastic scattering. © 2010 American Institute of Physics.

Neutrinos masses in a multi-higgs model with A 4 symmetry

Presently it is well known that neutrino oscillation data are well described by massive neutrinos and their mixing. This suggests changes in the standard model (SM) and makes the flavor physics even more interesting. Recently, it has been proposed a multi-Higgs extension of the SM with Abelian and non-Abelian discrete symmetries which seeks to explain the origin of the masses and mixing matrices in all charge sectors. © 2012 Elsevier B.V.

Multi-Environment Model Estimation for Motility Analysis of Caernorhabditis elegans

The nematode Caenorhabditis elegans is a well-known model organism used to investigate fundamental questions in biology. Motility assays of this small roundworm are designed to study the relationships between genes and behavior. Commonly, motility analysis is used to classify nematode movements and characterize them quantitatively. Over the past years, C. elegans' motility has been studied across a wide range of environments, including crawling on substrates, swimming in fluids, and locomoting through microfluidic substrates. However, each environment often requires customized image processing tools relying on heuristic parameter tuning. In the present study, we propose a novel Multi-Environment Model Estimation (MEME) framework for automated image segmentation that is versatile across various environments. The MEME platform is constructed around the concept of Mixture of Gaussian (MOG) models, where statistical models for both the background environment and the nematode appearance are explicitly learned and used to accurately segment a target nematode. Our method is designed to simplify the burden often imposed on users; here, only a single image which includes a nematode in its environment must be provided for model learning. In addition, our platform enables the extraction of nematode ‘skeletons’ for straightforward motility quantification. We test our algorithm on various locomotive environments and compare performances with an intensity-based thresholding method. Overall, MEME outperforms the threshold-based approach for the overwhelming majority of cases examined. Ultimately, MEME provides researchers with an attractive platform for C. elegans' segmentation and ‘skeletonizing’ across a wide range of motility assays.

Multi-resolution model-based traffic sign detection and tracking

In this paper we propose an innovative approach to tackle the problem of traffic sign detection using a computer vision algorithm and taking into account real-time operation constraints, trying to establish intelligent strategies to simplify as much as possible the algorithm complexity and to speed up the process. Firstly, a set of candidates is generated according to a color segmentation stage, followed by a region analysis strategy, where spatial characteristic of previously detected objects are taken into account. Finally, temporal coherence is introduced by means of a tracking scheme, performed using a Kalman filter for each potential candidate. Taking into consideration time constraints, efficiency is achieved two-fold: on the one side, a multi-resolution strategy is adopted for segmentation, where global operation will be applied only to low-resolution images, increasing the resolution to the maximum only when a potential road sign is being tracked. On the other side, we take advantage of the expected spacing between traffic signs. Namely, the tracking of objects of interest allows to generate inhibition areas, which are those ones where no new traffic signs are expected to appear due to the existence of a TS in the neighborhood. The proposed solution has been tested with real sequences in both urban areas and highways, and proved to achieve higher computational efficiency, especially as a result of the multi-resolution approach.

Direct support, and general support, maintenance repair parts and special tools list : shop equipment, general purpose repair, semitrailer mounted (southwest truck body model SGPRSMD) (serial no. Range S-11-204 through S-11-265) (4940-01-006-3229).

"May 1982."

Organizational and direct support maintenance repair and special tools list : shop equipment, electrical repair, semitrailer mounted (southwest truck body model SER), serial no. range S-4-629 thru S-4-663 (NSN 4940-00-165-4020), serial no. range S-4-001 thur [sic] S-4-078 (NSN 4940-00-159-8847), serial no. range SER-1001 thur [sic] SER-1078 (NSN 4940-01-022-5322).

"April 1982."

Operator's, organizational and direct support maintenance manual : shop equipment, electrical repair, semi-trailer mounted : (Southwest Truck Body model SER), serial no. range S-4-629 thru S-4-663, NSN 4940-00-165-4020, serial no. range S-4001 thru S-4-078, NSN 4940-00-159-8847, serial no. range SER-1001 thru SER-1078, NSN 4940-01-022-5322.

Includes index.

Operator and organizational maintenance manual : shop equipment, organizational repair, truck mounted, (Southwest truck body model SEORL), FSN 4940-169-3041, (Southwest Truck body model SEORLT), FSN 4940-164-4719.

Includes index.

Direct and general support maintenance repair parts and special tools list (including depot maintenance repair parts and special tools) : shop equipment, organizational repair, truck mounted (Southwest truck body model SEORL) FSN 4940-169-3041, (Southwest Truck body model SEORLT) FSN 4940-164-4719.

Includes index.

Operator, organizational, direct support, and general support maintenance manual : bath unit, portable, automated, Multi-head model PBU100, NSN 4510-01-139-4973.

"6 July 1984."