Angiogenesis of gynecologic tumors studied with color Doppler

Angiogenesis is obligatory event in solid tumors growth. Weak muscular layer in the newly formed tumoral vessels results in decreased resistance to blood flow and characteristic Doppler signal. The number and arrangement of the blood vessels differ between benign and malignant lesions as well. Parameters mentioned above enable a precise ultrasound differential diagnosis between benign and malignant tumors. Malignant uterine tumors are better perfused and have lower resistance to blood flow than benign ones. Benign lesions with secondary changes (necrosis) may have lowered resistance indices. The finding of pathological perfusion makes the diagnosis of endometrial carcinoma also very accurate. High sensitivity of the transvaginal color Doppler in detecting newly formed blood vessels in an early stages of ovarian cancer may establish this technique as a screening method for this still very high lethality disease.     

Pneumatization of the middle nasal turbinate: a CT study

Anatomic variations of the middle turbinate may be an important factor in the pathogenesis of inflammatory processes of the paranasal sinuses. A detailed analysis of coronal and axial plane CT scans of the paranasal sinuses obtained from 120 patients was performed. Paradoxical curve of the middle concha was detected in 24.2% of patients. Pneumatized middle turbinate was found in 42.5% and "true" concha bullosa in 8.3% of patients. Bilateral concha bullosa was found in 1.7% of patients.     

Prediction of diesel fuel cold properties using artificial neural networks

In this paper, two neural networks, multilayer perceptron and networks with radial-basis function, were used to predict important cold properties of commercial diesel fuels, namely cloud point and cold filter plugging point. The developed models predict the named properties using cetane number, density, viscosity, contents of total aromatics, and distillation temperatures at 10, 50, and 90 vol. % recovery as input data. The training algorithms, number of hidden layer neurons, and number of training data points were optimized in order to obtain a model with optimal predictive ability. The results indicated better prediction of cloud and cold filter plugging points in the case of multilayer perceptron networks. The obtained absolute error mean for the optimal neural network models (0.58°C for the cloud point and 1.46°C for the cold filter plugging point) are within the range of repeatability of standard cold properties determination methods.     

Effect of supercritical CO2 extraction process parameters on oil yield and pigment content from by‐product hemp cake

This research gives an insight into the possibility of exploiting the one of the food industry's by‐products – pressed hemp cake. The complete recovery of oil from pressed hemp cake was achieved. Residual oil that remained in cake after pressing was extracted with supercritical CO₂ by applying different process parameters. Optimal extraction conditions were determined using response surface methodology. Total pigment contents of the oils obtained were determined. Extraction pressure had the most significant influence on yield and pigment content of extracted hemp cake oil. Depending on the pressure, the chlorophyll a content ranged from 101.11 to 378.28 mg kg^?1 and chlorophyll b from 65.14 to 189.78 mg kg^?1, while total carotene content was in the range from 33.58 to 132.67 mg kg^?1. The remaining oil in pressed hemp cake after supercritical CO₂ extraction was determined to be 0.56 ± 0.08% and the defatted cake was rich in proteins and fibre.     

Modeling of dibenzothiophene oxidative desulfurization using response surface methodology

The effect of reaction temperature, mixing speed and oxidant to catalyst volume ratio, including their interactions on the oxidative desulfurization of dibenzothiophene by using response surface methodology was studied. Hydrogen peroxide was used as oxidant and acetic acid as catalyst. The obtained model accurately predicts conversion of dibenzothiophene and the best conversion of 98.7% was observed at temperature 70°C, mixing speed of 1250 rpm and oxidant to catalyst volume ratio of 1:1. At high temperatures, a major limitation of the desulfurization process is the mass transfer and the high mixing speed is needed to achieve an efficient process.     

Congenital anomalies of the central nervous system 1990-1993

We have analyzed all available data including birth certificates, maternity records, pediatric records, and pathology reports of spontaneous and induced abortions and newborn deaths to determine the frequency of congenital anomalies of the central nervous system. We found 76 infants (34 males, 39 females and 3 of undetermined sex) with CNS anomalies during the 1990-93 period. In the same period there were 23,425 births. The frequency of CNS anomalies in this period was 32,4/10,000 births. These results are at variance with conclusions of previously published and incomprehensive studies in Croatia. Therefore, a systematic follow-up of the autopsy findings of induced and spontaneous abortions and newborn deaths in the epidemiology of CNS anomalies is clearly needed.     

Effectiveness of Explicit Stations Grouping in Crowded Wireless LANs

In this letter, we evaluate the effectiveness of a multi-stage contention scheme for wireless local area networks (WLANs) medium access control (MAC). Multi-stage contention schemes basically divide the stations into smaller groups to resolve the contention more efficiently. Previous researchers have proposed virtual grouping schemes for WLANs MAC. Here we quantitatively analyze what can be achieved with a simple grouping scheme, i.e. through multi-stage contention. Our analysis shows that the multi-stage scheme is efficient in resolving contention, making it a good alternative to the commonly used exponential backoff mechanism.     

Partial Linearization of One Class of the Nonlinear Total Least Squares Problem by Using the Inverse Model Function

In this paper we consider a special nonlinear total least squares problem, where the model function is of the form . Using the fact that after an appropriate substitution, the model function becomes linear in parameters, and that the symmetry preserves the distances, this nonlinear total least squares problem can be greatly simplified. In this paper we give the existence theorem, propose an efficient algorithm for searching the parameters and give some numerical examples. Received: June 30, 1997; revised October 31, 1998     

Sequestration of zinc from zinc oxide nanoparticles and life cycle effects in the sediment dweller amphipod Corophium volutator

We studied the effects of ZnO nanoparticles [ZnO NPs, primary particle size 35 ± 10 nm (circular diameter, TEM)], bulk [160 ± 81 nm (circular diameter, TEM)], and Zn ions (from ZnCl(2)) on mortality, growth, and reproductive endpoints in the sediment dwelling marine amphipod Corophium volutator over a complete lifecycle (100 days). ZnO NPs were characterized by size, aggregation, morphology, dissolution, and surface properties. ZnO NPs underwent aggregation and partial dissolution in the seawater exposure medium, resulting in a size distribution that ranged in size from discrete nanoparticles to the largest aggregate of several micrometers. Exposure via water to all forms of zinc in the range of 0.2-1.0 mg L(-1) delayed growth and affected the reproductive outcome of the exposed populations. STEM-EDX analysis was used to characterize insoluble zinc precipitates (sphaerites) of high sulfur content, which accumulated in the hepatopancreas following exposures. The elemental composition of the sphaerites did not differ for ZnO NP, Zn(2+), and bulk ZnO exposed organisms. These results provide an illustration of the comparable toxicity of Zn in bulk, soluble, and nanoscale forms on critical lifecycle parameters in a sediment dwelling organism.