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Leukemia – a type of blood cancer which was caused by abnormal growth of White Blood Cells (WBC) in bone marrow. Accurate identification of effected patients and diagnosing within time is most important otherwise it causes to death. Machine learning algorithms are most popular for accurate identification of patient status. Presenting 152 patients data which was clinically collected. In this paper, proposing Bagging with Random split function for classification of leukemia patients. Also compared the classifier performance with various ensemble techniques – Multiclass classifier, Logit Boost, Stacking and Random Committee classifiers. Experiments are conducted and proven that bagging with Random split function shows 95% accuracy on classification of leukemia disease dataset.

Controllability properties are studied for control-affine systems depending on a parameter and with constrained control values. The uncontrolled systems in dimension two and three are subject to a homoclinic bifurcation. This generates two families of control sets depending on a parameter in the involved vector fields and the size of the control range. A new parameter given by a split function for the homoclinic bifurcation determines the behavior of these control sets. It is also shown that there are parameter regions where the uncontrolled equation has no periodic orbits, while the controlled systems have periodic solutions arbitrarily close to the homoclinic orbit, 19 pages, 5 figures

Objective Ultrasonography (US) is commonly used to visualize the upper urinary tract in children and adolescents with meningomyelocele (MMC). The aim of this investigation was to prospectively evaluate US in those with spinal angulation or obesity and compare it to the corresponding results obtained by mercaptoacetyltriglycine renography. Patients and methods Twenty-five children and adolescents with MMC and pronounced angulation of the spine or obesity, were prospectively investigated with both US and renography during the period 2006 to 2008. Results In 13 (52%) patients the kidneys could not be fully evaluated; in 4 (16%) neither renal size nor pelvic dilation, in 12 (48%) renal length and in 5 (20%) dilation was not accessible. In 23 individuals where dilatation could be evaluated uni- or bilaterally, US was compared to OEE% (%outflow excretion efficiency) at renography. In 1 of these individuals there was normal OEE% while slight dilatation on US was noticed. In 2/15 individuals, split function at renography did not correlate with renal length on US. Conclusion Severe spinal angulation and obesity in individuals with MMC reduced the possibility to evaluate the urinary tract by US. However, it seems that renography could be a reliable alternative to evaluate renal condition in those patients where US is insufficient.

A new method of modelling comminution processes is introduced. The function responsible for the description of the particle size reduction is thought to be a random one. It is calculated by maximizing an informational entropy. The energy for the comminution process is described by Rittinger's or Kick's law. One model fitting parameter is necessary. It can be estimated from measured product size distributions. In addition to the prediction of product size distributions, the model is able to show the influence of the energy input to the single feed fractions as well as to predict this energy split function.

Administrative agency authority to evolve policy in the course of adjudication is well established. While the scope of that authority and the judicial role with respect to such questions commands considerable scholarly attention, the process for exercising that authority inside administrative judiciaries is largely neglected. The policymaking role of the administrative judges in particular has been insufficiently conceptualized and hence their role in that regard poorly understood, even by themselves. Administrative judges must apply policy in individual context. As the record builders and initial decisionmakers, the administrative judges launch the policy related issues. Even clear policy leaves them some discretion and agency policy, being ambiguous or rendered ambiguous by the individual case, may afford judges considerable range. Necessarily then policymaking by administrative judges creates a tension within the agency hierarchy. The agencies endeavor to maintain dominance over policy and constantly struggle to keep the administrative judges within the strict confines of its policy pronouncements. For this reason, it is the policy aspects of the hearing level decisions, more so than individual dispute resolution, that defines the relationship between the agency and the judges. This article seeks to understand the policymaking aspect of administrative adjudications. It exposes the myth that adjudicative judges are not part of the policymaking process. It examines how they do contribute to that effort. And it suggests ways to incorporate them most effectively in the adjudicative policymaking process and thereby the overall administrative policymaking process. Some first level answers can be derived from the various studies and commentary on judicial law making. Yet, the hierarchical allocation of policymaking in administrative adjudications is fundamentally distinct. Thus, the article looks closely at the adjudicative policy development in terms of precedent (or consistency), the internal force of varies categories of rule, the nature of policy oriented factual development and finding, the adjudicative staff's role, and agency supervision of policy judgments. From this analysis of the classic adjudicative hierarchy, the article considers the special circumstances of adjudicative policymaking in "coordinate" systems: centralized panels and split function. It concludes that conscious attention to the judge's role and full utilization of them for policymaking will significantly improve many administrative systems.