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Proposes a methodology which allow the attributes membership values to be represented by fuzzy sets as well as the attributes themselves. Background on fuzzy control systems; Challenges posed by knowledge acquisition in constructing a control system; Construction of inference rules from rough sets; Discussion on type II fuzzy sets.

The goal of this study was to identify recurrent regions of genomic gain or loss in giant-cell tumor of bone (GCTb). Array comparative genomic hybridization (aCGH) was performed for 20 frozen tumor samples of GCTb. A separate subset of 59 GCTb with outcome data was used for validation. The most frequent region of change identified by aCGH was gain of a 1-Mbp region at 20q11.1. In the validation arm of 59 cases the minimal common region of copy number gain at 20q11.1, seen in 54% of the samples, was BAC clone RP11-4O9, which contained the genes TPX2 and BCL2L1. For most cases, amplification was restricted to the mononuclear component and was not present in the multinucleated giant cells. Southern blot for TPX2 and BCL2L1 identified the former as the gene with the highest level of amplification for these two proposed candidate genes of importance. Immunohistochemistry for TPX2 expression correlated with amplification, while BCL2L1 expression was not identified. Kaplan-Meier curves for progression-free survival showed a statistically significant difference for cases with 20q11.1 amplification (P = 0.0001). Univariate analysis involving Cox proportional hazards models did not show a significant difference for initial treatment type (curettage versus resection) (P = 0.575), age (50) (P = 0.543), or sex (P = 0.268), but did correlate with 20q11.1 amplification (P = 0.001). By multivariate analysis, it was found that 20q11.1 amplification (P = 0.001) was the only factor to reach statistical significance. 20q11.1 amplification can be used as a marker of prognostic importance in GCTb. We propose TPX2 as a candidate oncogene in the core-amplified region at 20q11.1., ((c) 2006 Wiley-Liss, Inc.)

Earthworms affect soil structure and the movement of agrochemicals. Yet, there have been few field-scale studies that quantify the effect of earthworms on dissolved nitrogen fluxes in agroecosystems. We investigated the influence of semi-annual earthworm additions on leachate production and quality in different row crop agroecosystems. Chisel-till corn (Zea mays L.)-soybean [Glycine max (L.) Merr.] rotation (CT) and ridge-till corn-soybean-wheat (Triticum aestivum L.) rotation (RT) plots were arranged in a complete randomized block design (n = 3) with earthworm treatments (addition and ambient) as subplots where zero-tension lysimeters were placed 45 cm below ground. We assessed earthworm populations semi-annually and collected leachate biweekly over a three-year period and determined leachate volume and concentrations of total inorganic nitrogen (TIN) and dissolved organic nitrogen (DON). Abundance of deep-burrowing earthworms was increased in addition treatments over ambient and for both agroecosystems. Leachate loss was similar among agroecosystems, but earthworm additions increased leachate production in the range of 4.5 to 45.2% above ambient in CT cropping. Although leachate TIN and DON concentrations were generally similar between agroecosystems or earthworm treatments, transport of TIN was significantly increased in addition treatments over ambient in CT cropping due to increased leachate volume. Losses of total nitrogen in leachate loadings were up to approximately 10% of agroecosystem N inputs. The coincidence of (i) soluble N production and availability and (ii) preferential leaching pathways formed by deep-burrowing earthworms thereby increased N losses from the CT agroecosystem at the 45-cm depth. Processing of N compounds and transport in soil water from RT cropping were more affected by management phase and largely independent of earthworm activity.