Attack rate and prey preference of Lasioseius subterraneous and Protogamasellus mica on four nematode species.

Plant parasitic nematodes are common and important global pests, causing over US$150 billion in crop losses across the agricultural sector worldwide. Meloidogyne javanica and Pratylenchus zeae are two of the most damaging plant-parasitic nematodes and there are limited options for their control. We evaluated the potential of a large (Lasioseius subterraneous) and a small (Protogamasellus mica) mesostigmatan mite as biological control agents of plant-parasitic nematodes. We tested the attack rate and reproductive potential of these two mite species on four nematode species: M. javanica (eggs), Pra. zeae (adults) and two microbivorous nematodes, Mesorhabditis sp. and Aphelenchus avenae (adults for both species). Each mite/nematode combination (1 mite:100 nematodes) was tested in six replicate arenas. In a separate trial, each mite species was presented with 50 A. avenae and 50 Pra. zeae in the same arena to determine prey preference. Both mite species significantly reduced the abundance of all nematode species used in the trials when compared to nematode-only controls. Lasioseius subterraneous consumed all available M. javanica eggs within 72 h. The larger mite had a significantly higher overall attack rate than the smaller mite, each consuming an average of 96 and 72 nematodes, respectively, within 72 h. However, both mites had a similar reproductive rate. Protogamasellus mica displayed a positive preference towards the plant parasitic nematode Pra. zeae over the fungal feeding A. avenae whereas L. subterraneous did not display a prey preference. Our results highlight the potential of these two predators to control plant parasitic nematodes, although further trials under field conditions are needed.

Effects of a mulch layer on the assemblage and abundance of mesostigmatan mites and other arthropods in the soil of a sugarcane agro-ecosystem in Australia.

Sugarcane farmers can utilise a soil conservation technique called green cane trash blanketing, a form of mulching that can increase plant productivity through a number of channels, e.g., via altering soil physical, chemical and biological characteristics, and influence soil arthropod assemblages. Predatory mites (Mesostigmata) are important components of soil communities because they can control populations of other soil-dwelling pest species. Our aim was to characterise mulch-influenced predatory Mesostigmata community assemblages in sugarcane soils in Queensland, Australia. We found that application of a mulch layer significantly increased the abundance of Mesostigmata, and oribatid mites and collembolans, in soils. Furthermore, we observed that the assemblages of Mesostigmata in soil covered by mulch were significantly different to those in bare soil; and the assemblages of Mesostigmata changed over time. The assemblages of Mesostigmata, but not Oribatida or collembolans, were significantly different in soil under mulch depending on whether the mulch was freshly laid, or decomposing. Our results show that the use of mulch, specifically the green cane trash blanket, can increase overall microarthropod abundance including Mesostigmata. This is likely due to increased habitat complexity and changing resource availability.

An apparatus and method to characterize causes of positional plagiocephaly.

Positional plagiocephaly (misshapen head in infants) has increased dramatically in the United States since the beginning of the Back to Sleep program in 1992. In order to understand the increase due to repositioning from prone to supine position for sleep, we developed a home-based monitoring system to discern state of sleep and re-positioning frequency in infants. The portable system allows real-time logging of sleep position and patterns by a simplified sleep algorithm and association of sleep head position and movement which are time-stamped for correlation. Preliminary correlatory results suggest that plagiocephalic infants experience greater periods of rapid-eye-movement (REM) sleep than controls and show more narrow range of motion during sleep.

A provocative test to determine brain compliance in the management of patients with hydrocephalus.

Non-invasive techniques to explore intracranial compliance and pressure have been extensively explored in recent years. Previous techniques have used expensive technologies to make these measurements, often with difficulty. We present a novel, inexpensive method and algorithm to observe trends in intracranial compliance measurement targeted towards the treatment and management of hydrocephalus. The technique uses two photo-plethysmographic sensors to record arterial pulse perfusion, a common tilt table apparatus to methodically and artificially increase intracranial pressure, and a digital signal processing algorithm to determine phase difference between the waveforms. A secondary phase-difference disease signature approach is also hypothesized.

A signal analysis algorithm for determining brain compliance non-invasively.

Patients with increased intracranial pressure (ICP) caused by hydrocephalus or brain injury have poor brain compliance or increased brain stiffness. The condition is commonly treated by a surgical diversion of cerebrospinal fluid (CSF) through placement of a ventriculoperitoneal (VP) shunt. These inserted devices frequently fail and require replacement. Assessment of failed devices typically requires an invasive surgical procedure to implant an ICP sensor. Brain compliance can be determined non-invasively by comparing the intracranial pressure (ICP) waveform to the digital artery waveform. The ICP waveform is derived from a piezo sensor snugged into the external ear canal and worn as a headset. The digital artery waveform is derived from a stand pulse oximeter. Digital signal processing performed on sampled data from these two sensors shows a time-lag or phase relationship between the two waves which widens with worsening brain stiffness or compliance. An algorithm is presented that shows how these signals can be used to compute brain compliance. An instrument designed to calculate real-time brain compliance to aid healthcare professionals is described.

Characterization of rat meningeal cultures on materials of differing surface chemistry.

To better understand the interactions of cells derived from meningeal tissues with the surfaces of devices used for the treatment of central nervous system disorders, the behavior of primary postnatal day 1 rat meningeal cultures was evaluated on biomaterials of differing surface chemistry. Meningeal cultures in serum containing media were analyzed for attachment, spread cell area, proliferation, the production of extracellular matrix (ECM), and neuronal outgrowth. In general, both cell attachment as well as cell spread area decreased with increasing substrate hydrophobicity, whereas cell division as indicated by BrdU incorporation and time to confluence, was lower on the most hydrophobic materials. We suggest that such differences immediately after cell seeding were most likely mediated by differences in surface adsorption of proteins. In longer-term experiments, most of the materials were colonized by meningeal cultures irrespective of surface chemistry, and all cultures were equally inhibitory to neuronal outgrowth suggesting that over time, cells can modify the substrate perhaps by secretion of extracellular matrix molecule proteins. Our data suggests that cell type-specific differences in response to different biomaterials may play an important role in determining the ultimate nature and composition of the CNS at the host-biomaterial interface.

Performance based design of high-level language-directed computer architectures.

This paper is concerned with the analytical modeling of computer architectures to aid in the design of high-level language-directed computer architectures. High-level language-directed computers are computers that execute programs in a high-level language directly. The design procedure of these computers are at best described as being ad hoc. In order to systematize the design procedure, we introduce analytical models of computers that predict the performance of parallel computations on concurrent computers. We model computers as queueing networks and parallel computations as precedence graphs. The models that we propose are simple and lead to computationally efficient procedures of predicting the performance of parallel computations on concurrent computers. We demonstrate the use of these models in the design of high-level language-directed computer architectures.

Magnetic field guided endoscopic dissection through a burr hole may avoid more invasive craniotomies. A preliminary report.

The neuroendoscope, coupled with radiofrequency or laser dissecting tools, can effectively resect obstructing membranes, biopsy and debulk tumor, and evacuate hematomas when the pathology is within the ventricular system. This less invasive approach through a burr hole usually avoids craniotomies. When the abnormal condition is within parenchyma or in the presence of opacifying bloody fluid, landmarks are not recognizable and the neurosurgeon quickly becomes disoriented. A more extensive craniotomy or a stereotaxic-guided procedure is then necessary. We describe our preliminary experience with a geographic intracranial navigation system using realtime measurement of electromagnetic field strength in multiple planes to precisely indicate the position of the tip of the endoscope. A transmitting antenna is positioned beneath the patient's head. A 1.5 centimeter cubic antenna receiver is mounted upon a lenscope with instrument channel. The scope is guided into the surgical field after insertion through a burr hole. A square wave pulsed electromagnetic field measurement is made 140 times per second with correction for the earth's magnetic field once per second. Intracranial position data for the dissecting tip in regard to X, Y, Z, pitch, roll and yaw are output to a digitized computer map of the patient's MRI or CT scan. Also displayed on the computer screen is the video image from the endoscope. The neurosurgeon thus has simultaneous realtime geographic and near-field localization as he dissects. Electromagnetic field guided accuracy is within 2.0 mm inside the allowable 24 inch working sphere about the patient's head. Coupled with near-field video precision, accuracy is within 1 mm of recognizable dissection planes.(ABSTRACT TRUNCATED AT 250 WORDS)

Apolipoprotein E epsilon 4 allele distributions in late-onset Alzheimer's disease and in other amyloid-forming diseases.

The frequency of the allele for apolipoprotein E type 4 (epsilon 4) is increased in late-onset familial and sporadic Alzheimer's disease (AD). We have examined epsilon 4 frequencies in four distinct, normal, elderly control groups and, most importantly, in patients with amyloid-forming diseases whose epsilon 4 distributions were not previously known (Creutzfeldt-Jakob disease, familial amyloidotic polyneuropathy, Down's syndrome). There were no differences between any of these controls and published control series, cementing the relevance of epsilon 4 for late-onset AD. The increase in late-onset AD was confirmed in two new series.

Metastatic breast carcinoma mimicking granular cell tumor.

Metastatic breast carcinoma may assume many patterns. We describe a case in which cutaneous, pulmonary and lymph node metastases of an adenocarcinoma of the breast all resembled granular cell tumor. In all sites, the lesion stained positive with antibodies against EMA and cytokeratins, but failed to stain with anti-S100.

Comparison of time domain and frequency domain variables from the signal-averaged electrocardiogram: a multivariable analysis.

The relative values of the unprocessed signal-averaged electrocardiogram (ECG) and time domain analysis and frequency domain analysis of the signal-averaged ECG were compared in 36 patients with sustained monomorphic ventricular tachycardia and a remote myocardial infarction, in 29 asymptomatic patients with a remote myocardial infarction and in 23 normal subjects. Area ratios of the energy spectra derived from fast Fourier transform analysis were calculated using six separate 140 ms intervals starting at 0, 40, 50 and 60 ms after QRS onset; 40 and 50 ms before QRS end and a variable length interval starting 40 ms before QRS end and extending to the T wave. Total filtered QRS duration, late potential duration and root mean square voltage of the terminal QRS complex were measured from the filtered vector magnitude signal-averaged ECG. The total QRS duration was also measured from the X, Y, Z leads of the unfiltered signal-averaged ECG. Seven variables were significantly different in univariate tests between myocardial infarction patients with and without ventricular tachycardia: three fast Fourier transform area ratios with the sampling interval starting at 1) QRS onset (p = 0.007), 2) 40 ms after QRS onset (p = 0.02), and 3) 60 ms after QRS onset (p less than 0.0001); and all four time domain variables at 1) total filtered QRS duration (p less than 0.0001), 2) late potential duration (p = 0.0001), 3) root mean square terminal QRS voltage (p = 0.0001), and 4) QRS duration from the unprocessed signal-averaged ECG (p less than 0.0001). Of these seven variables, only the fast Fourier transform area ratio starting at QRS onset was significantly different between patients with myocardial infarction without ventricular tachycardia and normal subjects. In multi-variable analysis, the total filtered vector magnitude QRS duration, a time domain variable that includes the late potential, was the only independent factor that separated patients with myocardial infarction with and without associated ventricular tachycardia.