Background and Purpose-We evaluated several hemodynamic parameters for the prediction of rupture in a data set of initially unruptured aneurysms, including aneurysms that ruptured during follow-up observation. Methods-Aneurysm geometry was extracted from CT angiographic images and analyzed using a mathematical formula for fluid flow under pulsatile blood flow conditions. Fifty side-wall internal carotid posterior communicating artery aneurysms and 50 middle cerebral artery bifurcation aneurysms of medium size were investigated for energy loss, pressure loss coefficient, wall shear stress, and oscillatory shear index. During follow-up observation, 6 internal carotid posterior communicating artery and 7 middle cerebral artery aneurysms ruptured (44 and 43 remained unruptured, respectively, with the same location and a similar size as the ruptured cases). Results-A significant difference in the minimum wall shear stress between aneurysms that ruptured and those that remained unruptured was noted only in internal carotid artery aneurysms (PϽ0.001). Energy loss showed a higher tendency in ruptured aneurysms but statistically not significant. For pressure loss coefficient, a significant difference was noted in both internal carotid artery (Pϭ0.0046) and middle cerebral artery (PϽ0.001) aneurysms. Conclusions-Pressure loss coefficient may be a potential parameter to predict future rupture of unruptured aneurysms. (Stroke.

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Multi-walled carbon nanotubes (MWCNTs), dispersed in suspensions consisting mainly of individual tubes, were used for intratracheal instillation and inhalation studies. Rats intratracheally received a dose of 0.2 mg, or 1 mg of MWCNTs and were sacrificed from 3 days to 6 months. MWCNTs induced a pulmonary inflammation, as evidenced by a transient neutrophil response in the low-dose groups, and presence of small granulomatous lesion and persistent neutrophil infiltration in the high-dose groups. In the inhalation study, rats were exposed to 0.37 mg/m(3) aerosols of well-dispersed MWCNTs (>70% of MWCNTs were individual fibers) for 4 weeks, and were sacrificed at 3 days, 1 month, and 3 months after the end of exposure. The inhalation exposures delivered less amounts of MWCNTs into the lungs, and therefore less pulmonary inflammation responses was observed, as compared to intratracheal instillation. The results of our study show that well-dispersed MWCNT can produce pulmonary lesions, including inflammation.

During a double-blind trial in which patients with suspected myocardial infarction received metoprolol or placebo, we analyzed the occurrence of ventricular tachyarrhythmias. Metoprolol (15 mg intravenously) was given as soon as possible after admission, and thereafter 200 mg was given daily for three months. Antiarrhythmic drugs were given only for ventricular fibrillation and sustained ventricular tachycardia (greater than 60 beats per second). Definite acute myocardial infarction developed in 809 of the 1395 participants, and probable infarction in 162. Metoprolol did not influence the occurrence of premature ventricular contractions or short bursts of ventricular tachycardia. However, there were 17 cases of ventricular fibrillation in the placebo group (697 patients) and only 6 in the metoprolol group (698 patients, P less than 0.05). During the hospital stay significantly fewer patients receiving metoprolol (16) than placebo (38) (P less than 0.01) required lidocaine. In a separate analysis of 145 patients, metoprolol did not influence the occurrence of premature ventricular contractions or short bursts of ventricular tachycardia during the first 24 hours of treatment. Despite a lack of effect on less serious ventricular tachyarrhythmias, metoprolol had a prophylactic effect against ventricular fibrillation in acute myocardial infarction.

Since nanoparticles easily agglomerate to form larger particles, it is important to maintain the size of their agglomerates at the nano-level to evaluate the harmful effect of the nanoparticles. We prevented agglomeration of nickel oxide nanoparticles by ultrasound diffusion and filtration, established an acute exposure model using animals, and examined inflammation and chemokine expression. The mass median diameter of nickel oxide nanoparticle agglomerates suspended in distilled water for intratracheal instillation was 26 nm (8.41 nm weighted average surface primary diameter). Male Wistar rats received intratracheal instillation of nickel oxide nanoparticles at 0.1 mg (0.33 mg/kg) or 0.2 mg (0.66 mg/kg), and were dissected 3 days, 1 week, 1 month, 3 months, and 6 months after the instillation. The control group received intratracheal instillation of distilled water. Three chemokines (cytokine-induced neutrophil chemoattractant-1 (CINC-1), CINC-2alphabeta, and CINC-3) in the lung tissue and bronchoalveolar lavage fluid (BALF) were determined by quantitative measurement of protein by ELISA. Both CINC-1 and CINC-2alphabeta concentration was elevated from day 3 to 3 months in lung tissue and from day 3 to 6 months in BALF. On the other hand, CINC-3 was elevated on day 3 in both lung tissue and BALF, and then decreased. The total cell and neutrophil counts in BALF were increased from day 3 to 3 months. In lung tissue, infiltration of mainly neutrophils and alveolar macrophages was observed from day 3 to 6 months in alveoli. These results suggest that CINC was involved in lung injury by nickel oxide nanoparticles.

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Focusing on the "size" impact of particles, the objective of this study was to analyze morphological and qualitative changes over time in the development of inflammation and collagen deposition in lung tissue after intratracheal instillation of two sizes of nickel oxide in rats, in comparison with the results of instillation of crystalline silica and titanium dioxide. The fine-sized nickel oxide sample (nNiOm: median diameter of agglomerated particles 0.8 microm) was prepared from crude particles of nickel oxide (median diameter of primary particle 27 nm) by liquid-phase separation. Another samples of micrometer-sized nickel oxide (NiO: median diameter of particles 4.8 microm), crystalline silica (Min-U-SIL-5; geometric mean diameter 1.6 microm, geometric standard deviation [GSD] 2.0), and TiO(2) (geometric mean diameter 1.5 microm, GSD 1.8) were also used. Well-sonicated samples of 2 mg per 0.4 ml saline or saline alone (control) were intratracheally instilled into Wistar rats (males, 10 wk old). Bronchoalveolar lavage fluid (BAL)F and lung tissue were examined at 3 days, 1 wk, 1 mo, 3 mo, and 6 mo after instillation, from 5 rats of each group. Histopathological findings showed that the infiltration of macrophages or polymorphonuclear cells and the alveolitis in rats treated with nNiOm were remarkable over time and similar to the effects of crystalline silica. The numbers of total cells in BALF and the percentage of plymorphonuclear leukocytes (PMNs) also increased in the nNiOm group and silica group. The point counting method (PCM) showed a significant increase of inflammatory area, with the peak at 3 mo after instillation in the nNiOm group. In contrast, NiO treatment showed only a slight inflammatory change. Collagen deposition in two regions in the lung tissue (alveolar duct and pleura) showed an increasing collagen deposition rate in nNiOm at 6 mo. Our results suggest that submicrometer nano-nickel oxide is associated with greater toxicity, as for crystalline silica, than micrometer-sized nickel oxide. Biological effects of factors of particle size reduction, when dealing with finer particles such as nanoparticles, were reconfirmed to be important in the evaluation of respirable particle toxicity.

This paper presents a novel pedestrian detection method based on the use of a convolutional neural network (CNN) classifier. Our method achieves high accuracy by automatidly optimizing the feature representation to the detection task and regularizing the neural network.We evaluate the proposed method on a diffcult database containing pedestrians in a city environment with no restrictions on pose, action, background and lighting conditions. The false positive rate (FPR) of the proposed CNN classifier is less than 1/5-th of the FPR of a support vector machine (SVM) classifier using Hilar-wavelet features when the detection rate is 90%. The accuracy of the SVM classifier s i n g the features learnt by the CNN is equivalent lo the accuracy of the CNN,