Machine Learning based tool for CMS RPC currents quality monitoring

The muon system of the CERN Compact Muon Solenoid (CMS) experiment includes more than a thousand Resistive Plate Chambers (RPC). They are gaseous detectors operated in the hostile environment of the CMS underground cavern on the Large Hadron Collider where pp luminosities of up to $2\times 10^{34}$ $\text{cm}^{-2}\text{s}^{-1}$ are routinely achieved. The CMS RPC system performance is constantly monitored and the detector is regularly maintained to ensure stable operation. The main monitorable characteristics are dark current, efficiency for muon detection, noise rate etc. Herein we describe an automated tool for CMS RPC current monitoring which uses Machine Learning techniques. We further elaborate on the dedicated generalized linear model proposed already and add autoencoder models for self-consistent predictions as well as hybrid models to allow for RPC current predictions in a distant future

The Relation Between Paternal Occupational Exposure and Cancer in Children.

Introduction: The incidence of childhood cancer has been increasing nearly one percent per year for the past two decades. Leukemia and lymphoma are the most common types of childhood cancers. This study was performed to assess the relation between environmental factors (Hydrocarbon, agricultural toxin, insecticide) present in various occupations of parents and cancer in their children. Methods: This was a case–control, cross sectional study done on 78 children with leukemia and non-Hodgkin’s lymphoma and 78 healthy children as the control group between the years 2002 and 2005. Information was gathered via a questionnaire and analyzed by suitable software (chi-square test). Results: There were 44.9% girls and 55.1% boys in the case group and most of them (29.6%) were in the 3-5 years age group. 57.7% of the fathers were farmers, 16.7% were either painters or were exposed to hydrocarbons and 6.4% were simple workers. Comparison of case and control group showed a significant difference between the fathers occupation in the two groups. Conclusion: This study identified that rate of malignancy in children whose father’s are painters, exposed to hydrocarbons and farmers are higher than others. Therefore people with these occupations should pay more attention and should be protected against risk factors