This paper has several contributions. First, we report that long sudden delays during data transfers are not uncommon in the GPRS wireless WAN. Long sudden delays can lead to spurious TCP timeouts and unnecessary retransmissions. Second, we show that the New Reno algorithm increases the penalty of spurious TCP timeouts and that an aggressive TCP retransmission timer may trigger a chain of spuri...

Stability analysis of spatially discretized approximations to invariant circle solutions to a noninvertible map is shown to produce seemingly spurious eigenvalues, found to exist for all truncation numbers. Numerical analysis of the spectral Galerkin projection procedure used to compute the solutions and the eigenvalues of the linearization shows that the set of discrete eigenvalues converges i...

Although the incidence of symptomatic urinary lithiasis in pregnancy is low, it is potentially serious in that it can cause serious renal damage, systemic sepsis or even endanger the pregnancy. Spurious calculosis in pregnancy must be a very unusual occurrence but does pose significant difficulties in diagnosis and management. A high index of clinical suspicion and analysis of calculi produced ...

The use of the pulse oximeter to estimate oxygen saturation has revolutionized monitoring capabilities in medicine. However, there can be circumstances in which there is a discordance between oxygen saturation measurements via pulse oximeter (SpO2) and actual arterial oxygen levels (PaO2). In these situations, there is a possibility the patient could have a variant hemoglobin as the etiology of...

Many data-mining and statistical machine learning algorithms have been developed to select a subset of covariates to associate with a response variable. Spurious discoveries can easily arise in high-dimensional data analysis due to enormous possibilities of such selections. How can we know statistically our discoveries better than those by chance? In this paper, we define a measure of goodness ...

Many data-mining and statistical machine learning algorithms have been developed to select a subset of covariates to associate with a response variable. Spurious discoveries can easily arise in high-dimensional data analysis due to enormous possibilities of such selections. How can we know statistically our discoveries better than those by chance? In this paper, we define a measure of goodness ...

Pairwise sequence alignment is a ubiquitous tool for inferring the evolution and function of DNA, RNA and protein sequences. It is therefore essential to identify alignments arising by chance alone, i.e. spurious alignments. On one hand, if an entire alignment is spurious, statistical techniques for identifying and eliminating it are well known. On the other hand, if only a part of the alignmen...

In the numerical solution of initial value ordinary differential equations, to what extent does local error control confer global properties? This work concentrates on global steady states or fixed points. It is shown that, for systems of equations, spurious fixed points generally cease to exist when local error control is used. For scalar problems, on the other hand, locally adaptive algorithm...

A new optical front-end compensation technique to suppress the unwanted, spurious signal in photoreflectance (PR) spectroscopy is developed. In this approach an optical compensation signal, which is amplitude-matched to and in antiphase to the spurious signal, is introduced and directed to the photodetector. The combination of the compensation signal and the spurious signal results in a dc outp...