Characteristics and Genesis of Some Soils of the Upper Terraces of Lake Bonneville

The genesis and characteristics of the Timpanogos, Hillfield, and Sterling soils and an unnamed Mollisol (soil formed on north- slope) on the east part of Cache Valley were studied in order to determine (1) why the soil morphology is not chronologically related to the geomorphic surface and (2} why different soils have developed on these surfaces , even though the soil forming factors appear similar. The particle size distribution of the upper horizons of the Timpanogos, Hillfield , and unnamed Mollisol pedons are relatively similar . These soils developed from stratified deposits with granulimetric composition in which 75 to 90 percent of the grains are less than 100 micrometers in diameter , characteristic of wind-blown material. Development of an incipient argillic horizon in Timpanogos pedon indicates this soil did not develop under the moist conditions of the Pleistocene and the geomorphic surface was not stable after deposition. The material was reworked by the wind. The Sterling soil formed on an alluvial fan which was deposited during Holocene time and its development is chronologically related to geomorphic surface. The development of an incipient argillic horizon in the Timpanogos soil and a weak cambic horizon in the Hillfield soil and the unnamed Mollisol is due to topographic condition of the landscapes. The thick and dark mollie epipedon in the unnamed Mollisol (north-slope) compared to the Hillfield soil (south- s lope) which has an epipedon with color light to be mollie and a less thick A horizon is related to effect of microclimate

Delayed post-operative contralateral epidural hematoma in a patient with right-sided acute subdural hematoma: a case report

Head injury is one of the leading causes of death and disability in traumatic accidents. Post-operative contralateral epidural hematomas after surgery for acute subdural hematoma seem to be rare. In this case, expansion and spontaneous resolution of a fractural epidural hematoma contralateral to the side of acute subdural hematoma is presented. The importance of immediate post-operative computed tomography is also highlighted to detect delayed traumatic mass lesions

Preclustering Algorithms for Imprecise Points

We study the problem of preclustering a set B of imprecise points in Rd: we wish to cluster the regions specifying the potential locations of the points such that, no matter where the points are located within their regions, the resulting clustering approximates the optimal clustering for those locations. We consider k-center, k-median, and k-means clustering, and obtain the following results. Let B: = { b1, … , bn} be a collection of disjoint balls in Rd, where each ball bi specifies the possible locations of an input point pi. A partition C of B into subsets is called an (f(k) , α) -preclustering (with respect to the specific k-clustering variant under consideration) if (i) C consists of f(k) preclusters, and (ii) for any realization P of the points pi inside their respective balls, the cost of the clustering on P induced by C is at most α times the cost of an optimal k-clustering on P. We call f(k) the size of the preclustering and we call α its approximation ratio. We prove that, even in R1, one may need at least 3 k- 3 preclusters to obtain a bounded approximation ratio—this holds for the k-center, the k-median, and the k-means problem—and we present a (3k, 1) preclustering for the k-center problem in R1. We also present various preclusterings for balls in Rd with d⩾ 2 , including a (3 k, α) -preclustering with α≈ 13.9 for the k-center and the k-median problem, and α≈ 193.9 for the k-means problem