Пористая структура продуктов электрохимического синтеза на переменном токе нанодисперсных оксидов олова

Методами электронной микроскопии и низкотемпературной адсорбции азота изучена пористая структура продуктов электролиза металлического олова на переменном токе промышленной частоты. Установлено, что продукты синтеза характеризуются высокими значениями удельной площади поверхности и мезапористой структурой. Показано, что средний размер частиц варьирует в интервале 10…30 нм

Rapid Earthquake Characterization Using MEMS Accelerometers and Volunteer Hosts Following the M 7.2 Darfield, New Zealand, Earthquake

We test the feasibility of rapidly detecting and characterizing earthquakes with the Quake‐Catcher Network (QCN) that connects low‐cost microelectromechanical systems accelerometers to a network of volunteer‐owned, Internet‐connected computers. Following the 3 September 2010 M 7.2 Darfield, New Zealand, earthquake we installed over 180 QCN sensors in the Christchurch region to record the aftershock sequence. The sensors are monitored continuously by the host computer and send trigger reports to the central server. The central server correlates incoming triggers to detect when an earthquake has occurred. The location and magnitude are then rapidly estimated from a minimal set of received ground‐motion parameters. Full seismic time series are typically not retrieved for tens of minutes or even hours after an event. We benchmark the QCN real‐time detection performance against the GNS Science GeoNet earthquake catalog. Under normal network operations, QCN detects and characterizes earthquakes within 9.1 s of the earthquake rupture and determines the magnitude within 1 magnitude unit of that reported in the GNS catalog for 90% of the detections

Segmentation of Fault Networks Determined from Spatial Clustering of Earthquakes

We present a new method of data clustering applied to earthquake catalogs, with the goal of reconstructing the seismically active part of fault networks. We first use an original method to separate clustered events from uncorrelated seismicity using the distribution of volumes of tetrahedra defined by closest neighbor events in the original and randomized seismic catalogs. The spatial disorder of the complex geometry of fault networks is then taken into account by defining faults as probabilistic anisotropic kernels, whose structures are motivated by properties of discontinuous tectonic deformation and previous empirical observations of the geometry of faults and of earthquake clusters at many spatial and temporal scales. Combining this a priori knowledge with information theoretical arguments, we propose the Gaussian mixture approach implemented in an Expectation-Maximization (EM) procedure. A cross-validation scheme is then used and allows the determination of the number of kernels that should be used to provide an optimal data clustering of the catalog. This three-steps approach is applied to a high quality relocated catalog of the seismicity following the 1986 Mount Lewis ($M_l=5.7$) event in California and reveals that events cluster along planar patches of about 2 km$^2$, i.e. comparable to the size of the main event. The finite thickness of those clusters (about 290 m) suggests that events do not occur on well-defined euclidean fault core surfaces, but rather that the damage zone surrounding faults may be seismically active at depth. Finally, we propose a connection between our methodology and multi-scale spatial analysis, based on the derivation of spatial fractal dimension of about 1.8 for the set of hypocenters in the Mnt Lewis area, consistent with recent observations on relocated catalogs

Landmark Recognition in Alzheimer’s Dementia: Spared Implicit Memory for Objects Relevant for Navigation

Contains fulltext : 97074.pdf (publisher's version ) (Open Access)BACKGROUND: In spatial navigation, landmark recognition is crucial. Specifically, memory for objects placed at decision points on a route is relevant. Previous fMRI research in healthy adults showed higher medial-temporal lobe (MTL) activation for objects placed at decision points compared to non-decision points, even at an implicit level. Since there is evidence that implicit learning is intact in amnesic patients, the current study examined memory for objects relevant for navigation in patients with Alzheimer's dementia (AD). METHODOLOGY/PRINCIPAL FINDINGS: 21 AD patients participated with MTL atrophy assessed on MRI (mean MMSE = 21.2, SD = 4.0), as well as 20 age- and education-matched non-demented controls. All participants watched a 5-min video showing a route through a virtual museum with 20 objects placed at intersections (decision points) and 20 at simple turns (non-decision points). The instruction was to pay attention to the toys (half of the objects) for which they were supposedly tested later. Subsequently, a recognition test followed with the 40 previously presented objects among 40 distracter items (both toys and non-toys). Results showed a better performance for the non-toy objects placed at decision points than non-decision points, both for AD patients and controls. CONCLUSION/SIGNIFICANCE: Our findings indicate that AD patients with MTL damage have implicit memory for object information relevant for navigation. No decision point effect was found for the attended items. Possibly, focusing attention on the items occurred at the cost of the context information in AD, whereas the controls performed at an optimal level due to intact memory function.5 p

Impact of coronary disease after aortic valve replacement

Left ventricular dimensions tend to reduce after aortic valve replacement in patients with aortic stenosis. Whether concomitant coronary artery disease has an influence on postoperative ventricular dimensions has not been evaluated. Between 1998 and 2002, 112 patients underwent aortic valve replacement for aortic stenosis; 68 had isolated aortic valve replacement, and 44 had combined coronary artery bypass grafting. Left ventricular dimensions were assessed by echocardiography preoperatively and at 3 and 12 months postoperatively. Transvalvular mean gradient, left ventricular end-diastolic diameter, and left ventricular mass index decreased significantly postoperatively, while left ventricular ejection fraction improved. Preoperative left ventricular dimensions in patients with isolated aortic stenosis were worse than in those with aortic stenosis and coronary artery disease. After aortic valve replacement with coronary artery bypass, left ventricular mass index regression was less than that after valve replacement alone, and there was no improvement in ejection fraction. This suggests that coronary artery disease has a negative impact on postoperative myocardial recovery

Reports Of Conferences, Institutes, And Seminars

This quarter\u27s column features a report from Electronic Resources and Libraries, held in Austin, Texas, and online March 16–19; New England Technical Services Librarians (NETSL) Annual Conference: Coming up Roses: Growing Towards the Future, held in Worcester, Massachusetts, at the Hogan Campus Center, College of the Holy Cross on April 11; North American Serials Interest Group (NASIG) 29th Annual Conference: Taking Stock and Taming New Frontiers, held in Fort Worth, Texas, May 1–4