Clustering functional data using forward search based on functional spatial ranks with medical applications

Cluster analysis of functional data is finding increasing application in the field of medical research and statistics. Here we introduce a functional version of the forward search methodology for the purpose of functional data clustering. The proposed forward search algorithm is based on the functional spatial ranks and is a data-driven non-parametric method. It does not require any preprocessing functional data steps, nor does it require any dimension reduction before clustering. The Forward Search Based on Functional Spatial Rank (FSFSR) algorithm identifies the number of clusters in the curves and provides the basis for the accurate assignment of each curve to its cluster. We apply it to three simulated datasets and two real medical datasets, and compare it with six other standard methods. Based on both simulated and real data, the FSFSR algorithm identifies the correct number of clusters. Furthermore, when compared with six standard methods used for clustering and classification, it records the lowest misclassification rate. We conclude that the FSFSR algorithm has the potential to cluster and classify functional data

Nonlinear Seismic Analysis of Building - Foundation Soil Systems

This paper deals with the problem of nonlinear seismic analysis of building - foundation soil systems. The building considered is modeled as a shear - type building supported on the surface of homogeneous isotropic elastic half-space. The governing nonlinear equations of motion for the structure - soil system are solved in the time domain using the step-by-step linear acceleration method of analysis with Wilson-e modification. Different nonlinear models to simulate the behaviour of reinforced concrete under cyclic loading are used. A parametric study has been performed on a single story shear-type building with different natural frequencies supported on the surface of different soils to show the effect of different parameters on the behaviour of such structures under seismic excitation. These parameters include the type of soil, the soil conditions, the structure flexibility, and the type of analysis (elastic or inelastic). The results show that the soil rigidity, the soil layer depth, and the structure period have great influence on the response of such structures

Acute pancreatitis in children: an experience with 50 cases

Background/purpose Acute pancreatitis in childhood is not common. It can be associated with severe morbidity and mortality. The role of clinical evaluation is vital as it can be misdiagnosed easily. The objective of this study was to review the etiology, presentation, diagnosis, management, and prognosis of acute pancreatitis in children and to assess the relevance of currently available prognostic criteria.Patients and methods Fifty children with acute pancreatitis admitted to the Pediatric Surgery Unit at the Al-Azhar University Hospitals, within the period January 1998 to December 2008 were retrospectively reviewed. They were diagnosed by clinical examination, laboratory, and radiological investigations, as well as by abdominal exploration.Results There were 25 boys and 25 girls. The median age was 9 years (range: 2–17 years). In the majority of cases, the main cause of acute pancreatic was idiopathic (17 patients), followed by trauma (10 patients). Most of the patients presented with abdominal pain (10 cases), vomiting (nine cases), jaundice (five cases), and an abdominal mass in computed tomography (48 cases).Conclusion Trauma is a major cause of pancreatitis in children. Early diagnosis, close monitoring, and proper intervention are mandatory to reduce the potential morbidity and mortality.Keywords: acute pancreatitis, children, morbidity, traum

True Integer Valued Autoregressive Model with Skellam Distribution

In the present article, we introduce a new true integer valued autoregressive model of order one TPDINAR(1) for data sets on Z and either positive or negative correlations based on the Poisson difference (Skellam) marginal distribution and using a random walk variable (It). Properties of the model are derived. We consider several methods for estimating the unknown parameters of the model, and their properties are discussed. Simulations are carried out for the performance of these estimators for illustrative purposes. Finally, the analysis of real life time series data is presented, and its performance is compared to two different INAR(1) models that may also be used over the observed data

Radiographic surveillance of minimally and moderately complex renal cysts

To assess the effectiveness of radiographic surveillance for managing minimally and moderately complex renal cysts. PATIENTS AND METHODS Forty-three patients with 50 minimally or moderately complex renal cysts underwent radiographic surveillance at our institution. Study inclusion criteria were surveillance for >2 years (36 patients, mean follow-up 3.0 years) or surveillance for >6 months with subsequent surgical excision (seven patients, mean follow-up 3.3 years). RESULTS The complexity of the renal cysts was in the form of high attenuation before contrast-enhanced imaging (‘hyperdense’) in 29 patients, thin septations in nine, borderline enhancement in six, thin calcifications in five, and a thick wall in one. The mean initial largest dimension was 2.9 cm and the mean final dimension was 3.0 cm, with the size increased in 29 cysts, decreased in 14 and with no change in seven. The cyst character worsened in seven patients, improved in four and did not change in 39. Eventually seven patients had surgery (laparoscopic partial nephrectomy in five and laparoscopic radical nephrectomy in two), which revealed renal cancer in five. Surgical intervention was prompted by growth alone in two patients, growth and worsening of cyst characteristics in two, new onset of flank pain in one, and appearance of an enhancing nodule in the wall or septa in two. CONCLUSION Radiographic surveillance is an effective method for managing patients with minimally or moderately complex renal cysts. Malignant lesions can be identified and removed while still of low grade and contained, and surgery can be avoided in most patients.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/72374/1/j.1464-410X.2008.08171.x.pd

Development and optimization of fluoxetine orally disintegrating tablets using Box-Behnken design

Purpose: To develop and optimise some variables that influence fluoxetine orally disintegrating tablets (ODTs) formulation.Methods: Fluoxetine ODTs tablets were prepared using direct compression method. Three-factor, 3- level Box-Behnken design was used to optimize and develop fluoxetine ODT formulation. The design suggested 15 formulations of different lubricant concentration (X1), lubricant mixing time (X2), and compression force (X3) and then their effect was monitored on tablet weight (Y1), thickness (Y2), hardness (Y3), % friability (Y4), and disintegration time (Y5).Results: All powder blends showed acceptable flow properties, ranging from good to excellent. The disintegration time (Y5) was affected directly by lubricant concentration (X1). Lubricant mixing time (X2) had a direct effect on tablet thickness (Y2) and hardness (Y3), while compression force (X3) had a direct impact on tablet hardness (Y3), % friability (Y4) and disintegration time (Y5). Accordingly, Box-Behnken design suggested an optimized formula of 0.86 mg (X1), 15.3 min (X2), and 10.6 KN (X3). Finally, the prediction error percentage responses of Y1, Y2, Y3, Y4, and Y5 were 0.31, 0.52, 2.13, 3.92 and 3.75 %, respectively. Formula 4 and 8 achieved 90 % of drug release within the first 5 min of dissolution test.Conclusion: Fluoxetine ODT formulation has been developed and optimized successfully using Box- Behnken design and has also been manufactured efficiently using direct compression technique.Keywords: Box-Behnken experimental design, Orally disintegrating tablets, Direct compression, Antidepressant, Magnesium stearate, Mixing tim

6^{6}He + α\alpha clustering in 10^{10}Be

In a kinematically complete measurement of the $^{7}$Li($^{7}$Li,$\alpha$$^{6}$He)$^4$He reaction at $E_{i}$ = 8 MeV it was observed that the $^{10}$Be excited states at 9.6 and 10.2 MeV decay by $^{6}$He emission. The state at 10.2 MeV may be a member of a rotational band based on the 6.18 MeV 0$^+$ state.Comment: 9 pages, RevTex, 3 Postscript figures (tarred, gzipped and uuencoded) include

High-density SNP-based association mapping of seed traits in fenugreek reveals homology with clover

Fenugreek as a self-pollinated plant is ideal for genome-wide association mapping where traits can be marked by their association with natural mutations. However, fenugreek is poorly investigated at the genomic level due to the lack of information regarding its genome. To fill this gap, we genotyped a collection of 112 genotypes with 153,881 SNPs using double digest restriction site-associated DNA sequencing. We used 38,142 polymorphic SNPs to prove the suitability of the population for association mapping. One significant SNP was associated with both seed length and seed width, and another SNP was associated with seed color. Due to the lack of a comprehensive genetic map, it is neither possible to align the newly developed markers to chromosomes nor to predict the underlying genes. Therefore, systematic targeting of those markers to homologous genomes of other legumes can overcome those problems. A BLAST search using the genomic fenugreek sequence flanking the identified SNPs showed high homology with several members of the Trifolieae tribe indicating the potential of translational approaches to improving our understanding of the fenugreek genome. Using such a comprehensively-genotyped fenugreek population is the first step towards identifying genes underlying complex traits and to underpin fenugreek marker-assisted breeding programs