The Battle of Falmouth Springs

This story is about a group of half-witted teens that embark on their last adventure together before shipping off to basic training. This is an adventure that takes you into the depths of Stephen Foster\u27s song, Way Down Upon The Suwannee River. Our secret swimming hole, campfires, old graveyards, first crushes, ghosts, and war set the scene of our last Hoorah! For this band of brothers, it was the end and a new beginning

A GIS Analysis of Sidewalk Infrastructure in Starkville, MS

Sidewalks provide many community services, yet not much geospatial research exists regarding sidewalks, especially in Mississippi. The purpose of this thesis was to use geographic information systems to inventory and map sidewalks for Starkville, MS and to compare sidewalk availability and quality to 2010 US census block demographics. In Starkville, sidewalks served 28% of the census block population, which classifies the city as “Car-Dependent” according to a Walk Score criteria. Majority minority census blocks and majority white census blocks had similar proportions of sidewalks. However, 97% of “Excellent” quality and 64 more sections of ADA compliant sidewalks were within majority white census blocks or commercial census blocks. Residential census blocks, especially majority minority blocks, have 26% less connectivity and an overall less dense sidewalk network. Starkville sidewalks have greatly improved since initial construction, but it seems that the current sidewalk infrastructure still reflects historical settlement and zoning patterns

Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation

The development of medical image segmentation using deep learning can significantly support doctors' diagnoses. Deep learning needs large amounts of data for training, which also requires data augmentation to extend diversity for preventing overfitting. However, the existing methods for data augmentation of medical image segmentation are mainly based on models which need to update parameters and cost extra computing resources. We proposed data augmentation methods designed to train a high accuracy deep learning network for medical image segmentation. The proposed data augmentation approaches are called KeepMask and KeepMix, which can create medical images by better identifying the boundary of the organ with no more parameters. Our methods achieved better performance and obtained more precise boundaries for medical image segmentation on datasets. The dice coefficient of our methods achieved 94.15% (3.04% higher than baseline) on CHAOS and 74.70% (5.25% higher than baseline) on MSD spleen with Unet.Comment: Accepted by IEEE ISBI'2

An analysis of congestion controls in centralized control systems

International audienceThis article studies different congestion control methods applied to a centralized control system, consisting in several sensors/actuators and one controller. Sensors/actuators are linked to the controller through an IP network. Depending on the data exchanged, the network can be congested. In such case, the congestion control used by data exchange becomes important. We evaluate four congestion control methods used by three classical transport protocols, UDP, TCP and DCCP. This evaluation uses ns2 network simulator. Results on a centralised control system show that TCP and DCCP offer a good tradeoff on reliability vs. throughput, whereas UDP has best results provided that the network is well configured

Les stratégies d'adpatation des conjoint(e)s des hommes atteints d'un cancer de la prostate: une revue de littérature

Le cancer de la prostate, étant le plus fréquemment diagnostiqué chez l’homme, affecte autant les hommes que leurs familles. Les effets des traitements ont un impact physique et psychosocial sur la relation intime, la sexualité et la continence urinaire et fécale. Les conjoint(e)s et les patients sont confrontés à divers obstacles qui touchent leur qualité de vie et engendrent du stress

Mitigating Cotton Revenue Risk Through Irrigation, Insurance, and Hedging

This study focuses on managing cotton production and marketing risks using combinations of irrigation levels, put options (as price insurance), and crop insurance. Stochastic cotton yields and prices are used to simulate a whole-farm financial statement for a 1,000 acre furrow irrigated cotton farm in the Texas Lower Rio Grande Valley under 16 combinations of risk management strategies. Analyses for risk-averse decision makers indicate that multiple irrigations are preferred. The benefits to purchasing put options increase with yields, as they are more beneficial when higher yields are expected from applying more irrigation applications. Crop insurance is strongly preferred at lower irrigation levels.cotton, crop insurance, irrigation, options, puts, risk, simulation, stochastic efficiency with respect to a function, Farm Management, Risk and Uncertainty, D81, Q12, Q15,