Fatty acid metabolism in renal ischemia

The increase in free fatty acids in the ischemic tissue is a consistent observation and these free fatty acids are considered, to play a role in the cellular toxicity. To elucidate the cause of higher levels of free fatty acids in ischemic tissue, we examined the catabolism of fatty acids. The β-oxidation of lignoceric (24∶0), palmitic (16∶0) and octanoic (8∶0) acids and the peroxidation of fatty acids were measured at different times of renal ischemia in whole kidney homogenate. The enzymatic activities for the oxidation of fatty acids decreased with the increase in ischemia time. However, the lipid peroxide levels increased 2.5-fold of control with ischemic injury. Sixty min of ischemia reduced the rate of oxidation of octanoic, palmitic and lignoceric acids by 57, 59 and 69%, respectively. Almost similar loss of fatty acid oxidation activity was observed in the peroxisomes and mitochondria. These data suggest that loss of mitochondrial and peroxisomal fatty acid β-oxidation enzyme activities from ischemic injury may be one of the factors responsible for the higher levels of free fatty acids.     

Specification of software pipelining using petri nets

This paper presents a flexible model for software pipelining using the petri nets. Our technique, called the Petri Net Pacemaker (PNP), can create near optimal pipelines with less algorithmic effort than other techniques. The pacemaker is a novel idea which exploits the cyclic behavior of petri nets to model the problem of scheduling operations of a loop body for software pipelining. A way of improving the performance of loops containing predicates is given. The PNP technique also shows how nested loops can be pipelined. A comparison with some of the other techniques is presented. THis work was partially supported by the National Science Foundation under grants CDA-9100788 and CDA-9200371.     

Single collector analysis of collection mechanisms in water filtration

A complete trajectory analysis of particle collection on single spheres, which includes all the known collection mechanisms and forces, is presented here for later experimental verification. The results show that the surface interactions between the collector and the particles have negligible influence on collection rate except to determine whether the surface conditions are favorable or unfavorable for collection. It is also evident that the hydrodynamic retardation of the particle in the neighborhood of the collector can reduce deposition significantly (by 50% or more), but such effects may be negligible in view of the usually wide scatter of filtration data. This paper also provides examples of how the single collector analysis can be directly applied to modelling retention in packed beds. To make the work easily accessible to the readers, all the basic concepts necessary for future application of the trajectory analysis are presented clearly along with a table containing all the relevant forces and torques acting on the particle. An experimental analysis of the results reported here is presented in a subsequent publication.     

INVITED REVIEW STABILITY OF COLLOIDAL DISPERSIONS

The stability of colloidal dispersions has traditionally attracted considerable attention in the chemical literature because of its origins in the physical chemistry of electrostatic and steric interactions between surfaces immersed in liquids. Moreover, progress in the physics and chemistry of stability phenomena has a direct impact on chemical engineering research, since stability of dispersions plays an important role in the rheology and transport properties of charged particles in liquids, separation processes (such as membrane filtration and solid/liquid separation), deposition and particulale fouling phenomena and numerous other processing operations. This paper presents a discussion of physical and chemical factors that affect colloidal stability and, in addition, presents an overview of the status of current research needs in this area. In addition to electrostatic and steric effects, some recent studies on the role of bulk motion of the supporting liquid on stability are also discussed. The emphasis throughout is on the stability of dilute dispersions, in which simultaneous interactions between more than two particles are negligible. Some major research needs in the above areas are also identified.     

Improving shape from focus using defocus cue.

The shape-from-focus (SFF) method uses a sequence of frames to estimate the structure of a 3-D object. Its accuracy depends on the step size by which the translational table is moved while capturing the images. Existing SFF algorithms use an ad hoc interpolation strategy to account for the error due to the finite step size. We propose an improved SFF method that uses relative defocus blur derived from actual image data to arrive at the final estimates of the structure of the object. A space-variant image restoration scheme is also proposed to obtain a focused image of the 3-D object. The reconstructed 3-D structure as well as the quality of the restored image are superior for the proposed method in comparison to traditional SFF.     

Analytic-Wavelet-Ridge-Based Detection of Dynamic Eccentricity in Brushless Direct Current (BLDC) Motors Functioning Under Dynamic Operating Conditions

A new method using the analytic wavelet transform of the stator-current signal is proposed for detecting dynamic eccentricity in brushless direct current (BLDC) motors operating under rapidly varying speed and load conditions. As wavelets are inherently suited for nonstationary signal analysis, this method does not require the use of any windows, nor is it dependent on any assumption of local stationarity as in the case of the short-time Fourier transform. The proposed technique uses analytic wavelets, which are smooth wavelets that possess both magnitude and phase information. This makes them particularly suitable for motor-fault diagnostics. Experimental results are provided to show that the proposed method works over a wide speed range of motor operation and provides an effective and robust way of detecting rotor faults such as dynamic eccentricity in BLDC motors     

System Call Monitoring Using Authenticated System Calls

System call monitoring is a technique for detecting and controlling compromised applications by checking at runtime that each system call conforms to a policy that specifies the program's normal behavior. Here, we introduce a new approach to implementing system call monitoring based on authenticated system calls. An authenticated system call is a system call augmented with extra arguments that specify the policy for that call, and a cryptographic message authentication code that guarantees the integrity of the policy and the system call arguments. This extra information is used by the kernel to verify the system call. The version of the application in which regular system calls have been replaced by authenticated calls is generated automatically by an installer program that reads the application binary, uses static analysis to generate policies, and then rewrites the binary with the authenticated calls. This paper presents the approach, describes a prototype implementation based on Linux and the Plto binary rewriting system, and gives experimental results suggesting that the approach is effective in protecting against compromised applications at modest cost.     

Current/Voltage-Based Detection of Faults in Gears Coupled to Electric Motors

Gears form a critical part of many electromechanical systems. Since gear faults cause vibrations, and vibration-based diagnostics are very reliable, this has traditionally been the most commonly used approach to detecting gear faults. However, it is expensive due to the use of high-priced accelerometers and sensor wiring. This paper proposes an alternative way of detecting faults in gears coupled to brushless dc motors by monitoring either the motor current or voltage. It will be shown that gear faults create unique spectral components in the voltage and current spectrums. The faults investigated include damage to gear teeth and loss of lubrication. Experimental and simulation results demonstrate that motor current/voltage signature analysis is a viable tool to detect these gear faults and is a cheaper alternative than vibration-based fault-detection scheme