Hyponatremia in Endurance Athletes

The purpose of this paper was to identify the relationship between hyponatremia, or water intoxication, and endurance athletes. Athletic trainers and paramedics must be educated about this potentially fatal problem and be able to determine the appropriate treatment for a hyponatremic athlete

Reality of virus infections in banana and plantain in Democratic Republic of Congo. [P.61]

Viral diseases of banana are one of the major constraints to the production and distribution of germoplasm of banana in the world. To date, six viruses have been listed on banana: Banana bunchy top virus (BBTV), Banana streak virus (BSV), Banana bract mosaic virus (BBrMV), Cucumber mosaic virus (CMV), Banana mild mosaic virus (BMMV), Banana virus x (BVX). In Democratic Republic of Congo (DRC), the first viral disease of banana was found, for the first time, in 1950 in Yangambi, Kisangani region. To date, the distribution of BBTV remains mostly unknown and other banana viruses (BSV, CMV, BBrMV, BMMV, BVX) have not yet been reported. With the aim to describe and establish the frequency of the viruses involved to major viral diseases on banana (Banana bunchy top virus, Banana streak virus, Banana bract mosaic virus, Cucumber mosaic virus) in the Democratic Republic of Congo, epidemiological surveys were conducted in 2011, 2012 and 2013 in the South West of the Democratic Republic of Congo. For BBTV at least 216 samples were collected in 2011 and 2012, for BS, CMV, BBrMV and 450 samples were collected and 306 samples were analyzed using PCR, IC - PCR, IC-One-step-RT-PCR and RT - PCR techniques to detect respectively BBTV, BSV, CMV, and BBrMV. Results indicate that Banana bunchy top virus is the most prevalent virus of banana, in South Western of Democratic Republic of Congo (frequency = 44,6%). The highest frequency was observed in Bas Congo province of Bas Congo with a frequency of 17.8% in contrast, the lowest frequency was observed in Katanga province. Banana streak virus exists in natural condition and express symptoms of Banana streak disease. The most widespread BSV specie is Goldfinger (BSGFV) with a frequency of 64%. This study reveals that there is a transmission of Banana streak virus from banana containing genome B with eBSV integration to Musa acuminata strict, without integrated sequences. Furthermore, the frequency of vector is 9.3%. These results suggest an emergence of Banana streak disease in the study area. Analysis of the frequency of the Cucumber mosaic virus shows that the virus is widespread in all types of cropping systems including vegetables spaces whose N'Djili brasserie, Kimpoko and Kisantu. Very surprisingly CMV is missing from Mbanzangungu one of the largest vegetable crop production site. Performant analyses for the detection of Banana bract mosaic virus have proved negative. These results suggest that the BBrMV remains absent from the study area. (Résumé d'auteur

Schwannomatosis of the Spinal Accessory Nerve: A Case Report.

Schwannomatosis is a distinct syndrome characterized by multiple peripheral nerve schwannomas that can be sporadic or familial in nature. Cases affecting the lower cranial nerves are infrequent. Here, the authors present a rare case of schwannomatosis affecting the left spinal accessory nerve. Upon genetic screening, an in-frame insertion at codon p.R177 of the Sox 10 gene was observed. There were no identifiable alterations in NF1, NF2, LZTR1, and SMARCB1. This case demonstrates a rare clinical presentation of schwannomatosis in addition to a genetic aberration that has not been previously reported in this disease context

Detecting Distracted Driving with Deep Learning

© Springer International Publishing AG 2017Driver distraction is the leading factor in most car crashes and near-crashes. This paper discusses the types, causes and impacts of distracted driving. A deep learning approach is then presented for the detection of such driving behaviors using images of the driver, where an enhancement has been made to a standard convolutional neural network (CNN). Experimental results on Kaggle challenge dataset have confirmed the capability of a convolutional neural network (CNN) in this complicated computer vision task and illustrated the contribution of the CNN enhancement to a better pattern recognition accuracy.Peer reviewe

Ground- and Space-based Detection of the Thermal Emission Spectrum of the Transiting Hot Jupiter KELT-2Ab

We describe the detection of water vapor in the atmosphere of the transiting hot Jupiter KELT-2Ab by treating the star-planet system as a spectroscopic binary with high-resolution, ground-based spectroscopy. We resolve the signal of the planet's motion with deep combined flux observations of the star and the planet. In total, six epochs of Keck NIRSPEC $L$-band observations were obtained, and the full data set was subjected to a cross correlation analysis with a grid of self-consistent atmospheric models. We measure a radial projection of the Keplerian velocity, $K_P$, of 148 $\pm$ 7 km s$^{-1}$, consistent with transit measurements, and detect water vapor at 3.8$\sigma$. We combine NIRSPEC $L$-band data with $Spitzer$ IRAC secondary eclipse data to further probe the metallicity and carbon-to-oxygen ratio of KELT-2Ab's atmosphere. While the NIRSPEC analysis provides few extra constraints on the $Spitzer$ data, it does provide roughly the same constraints on metallicity and carbon-to-oxygen ratio. This bodes well for future investigations of the atmospheres of non-transiting hot Jupiters.Comment: accepted to A