Introduction To immediately monitor disease outbreaks, the application of laboratory-based surveillance is more popular in recent years. Taiwan Centers for Disease Control (TCDC) has developed LARS to collect the laboratory-confirmed cases caused by any of 20 pathogens daily via automated submitting of reports from hospital laboratory information system (LIS) to LARS since 2014 [1]. LOINC is us...

BACKGROUND Graft choice for anterior cruciate ligament (ACL) reconstruction is of critical importance. Various grafts have been used so far, with autografts long considered the optimal solution for the treatment of ACL-deficient knees. Limited data are available on the long-term survivorship of synthetic grafts. PURPOSE To compare the functional outcome and survivorship of ACL reconstructions...

The integration of different existing tools, each of them not covering the whole life cycle, to a SEE (Software Engineering Environment) is an actual task. There are two main mechanisms of integration. The fIrst one is the vertical integration, that means, that a common user interface and a common data base are available for the tools to be assembled into a CASE Environment. ( The second one is...

Many regression problems exhibit a natural grouping among predictor variables. Examples are groups of dummy variables representing categorical variables, or present and lagged values of time series data. Since model selection in such cases typically aims for selecting groups of variables rather than individual covariates, an extension of the popular least angle regression (LARS) procedure to gr...

PURPOSE To systematically review and assess the use of the Ligament Advanced Reinforcement System (LARS; Surgical Implants and Devices, Arc-sur-Tille, France) for posterior cruciate ligament (PCL) reconstruction. METHODS A search of multiple databases was conducted using the following terms: (LARS[All Fields] AND posterior[All Fields]) OR (LARS[All Fields] AND PCL[All Fields]). The methodolog...

The purpose of model selection algorithms such as All Subsets, Forward Selection, and Backward Elimination is to choose a linear model on the basis of the same set of data to which the model will be applied. Typically we have available a large collection of possible covariates from which we hope to select a parsimonious set for the efficient prediction of a response variable. Least Angle Regres...

Several reports in fly, nematode and mammalian cells have revealed that the inactivation of endosomal sorting complexes required for transport (ESCRT) blocks the endosomal maturation but also leads to the increased number of autophagosomal structures. In this review we compare these data and conclude that the way ESCRT mutations affect the relationships between autophagosomes and endosomes cann...

In order to correct the error that Efron et al pointed out modified Lars is a fast algorithm for lasso problem, computer simulation carried with data. The results show when variable removed first and then entered in variables selected by cannot be same. At this time, no matter how modify size of Lars, problem solved. method used errors paper, contribute development world data computing.