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30 result(s) for "Altshuler, Thomas L."
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The Brittle Fracture of Iron and Steel and the Sharp Upper Yield Point Are Caused by Cementite Grain Boundary Walls
Brittle fractures of iron and steel above twinning temperatures are caused by cementite grain boundary wall cracks. These were revealed by an Atomic Force Microscope (AFM). At temperatures below the ductile–brittle transition (DBT), cracks must propagate longitudinally within cementite walls until the stress is sufficiently high for the cracks to propagate across ferrite grains. Calculations using these concepts correctly predict the stress and temperature at the DBT required for fractures to occur. At temperatures above the DBT for hypoeutectoid ferritic steels, dislocations must fracture the walls transversely. That will permit pent-up dislocations to pass through the fractured region of the walls into the adjoining grains. Subsequently, there is rapid multiplication of dislocations at the opposite side of the walls by emission. This causes a rapid drop in stress toward the lower yield point. Here, the walls completely surround all of the grains. Where the walls are segmented, such as in iron, dislocations can pass around the walls, resulting in a gradual change from elastic to plastic deformation. The Cottrell atmosphere theory of yielding is not supported experimentally. It was the best available until later experiments, including those using the AFM, were performed. Methods are presented here giving yield strength versus temperature and also the parameters for the Hall–Petch and Griffith equations.
Thermal Expansion of Silicon Between 293 K and 873 K Using a Capacitor Dilatometer
A fused silica dilatometer consisted of a rod and tube that had capacitance discs attached at one end. The cylindrical specimen of polycrystalline pure silicon 2.54 cm long and 0.635 cm in diameter was clamped between the other end of the rod and tube. These were enclosed in a fused silica furnace tube within the furnace. The furnace tube was sealed with helium that did not flow. The capacitance discs were sealed in a container outside of the furnace. Helium flowed within that container. These disks were used to measure the thermal expansion of pure silicon between 20 °C and 600 °C. The capacitance measurements were made by an Andean Hagerling capacitance bridge with a readout of ten digits and a sensitivity of 0.5 attofarads. The rate of heating and cooling was 1 °C·min −1 . The specimen temperature was measured using a calibrated platinum thermometer 3 mm away from the specimen. To correct for changes in disc expansion during a test, a silicon diode measured the temperature. Calibration of the capacitor extensometer was made using NIST fused silica and NIST stainless steel. The total thermal expansion of three silicon specimens measured between 20 °C and 600 °C was 2074.83 µstrain with a standard deviation of 17.43 µstrain. The hysteresis difference between the warming and cooling curves for the silicon was less than 7 µstrain.
Grain Boundary Walls Cause the Upper Yield Point in Steel
Atomic force microscopy revealed that boundaries between adjoining grains in these steels consist of walls, probably cementite (Fe2C), that are brittle and contain longitudinal cracks. Because these walls completely enclose the grains, they inhibit the movement of dislocations between adjoining grains until the walls fracture transversely. [...]the upper yield point is at the elastic line, followed by a large sharp drop in stress to the lower yield point. [...]there is a smooth transition between the elastic deformation into plastic deformation of iron, Fig. 6, yielding at 202.7 MPa at 0.2% offset. If the grain boundaries consisted only of disordered Fe atoms, due to their higher entropy compared to that of the ordered crystal lattice of Fe atoms within the grain, the boundaries should etch at a more rapid rate than the grains themselves. [...]the grain boundaries should be depressed compared to the adjacent grains, which is generally believed to be true.
Tropical Cyclone Climatology in a 10-km Global Atmospheric GCM
Northern Hemisphere tropical cyclone (TC) activity is investigated in multiyear global climate simulations with the ECMWF Integrated Forecast System (IFS) at 10-km resolution forced by the observed records of sea surface temperature and sea ice. The results are compared to analogous simulations with the 16-, 39-, and 125-km versions of the model as well as observations. In the North Atlantic, mean TC frequency in the 10-km model is comparable to the observed frequency, whereas it is too low in the other versions. While spatial distributions of the genesis and track densities improve systematically with increasing resolution, the 10-km model displays qualitatively more realistic simulation of the track density in the western subtropical North Atlantic. In the North Pacific, the TC count tends to be too high in the west and too low in the east for all resolutions. These model errors appear to be associated with the errors in the large-scale environmental conditions that are fairly similar in this region for all model versions. The largest benefits of the 10-km simulation are the dramatically more accurate representation of the TC intensity distribution and the structure of the most intense storms. The model can generate a supertyphoon with a maximum surface wind speed of 68.4 m s−1. The life cycle of an intense TC comprises intensity fluctuations that occur in apparent connection with the variations of the eyewall/rainband structure. These findings suggest that a hydrostatic model with cumulus parameterization and of high enough resolution could be efficiently used to simulate the TC intensity response (and the associated structural changes) to future climate change.
Absence of evidence for bornavirus infection in schizophrenia, bipolar disorder and major depressive disorder
In 1983, reports of antibodies in subjects with major depressive disorder (MDD) to an as-yet uncharacterized infectious agent associated with meningoencephalitis in horses and sheep led to molecular cloning of the genome of a novel, negative-stranded neurotropic virus, Borna disease virus (BDV). This advance has enabled the development of new diagnostic assays, including in situ hybridization, PCR and serology based on recombinant proteins. Since these assays were first implemented in 1990, more than 80 studies have reported an association between BDV and a wide range of human illnesses that include MDD, bipolar disorder (BD), schizophrenia (SZ), anxiety disorder, chronic fatigue syndrome, multiple sclerosis, amyotrophic lateral sclerosis, dementia and glioblastoma multiforme. However, to date there has been no blinded case–control study of the epidemiology of BDV infection. Here, in a United States-based, multi-center, yoked case–control study with standardized methods for clinical assessment and blinded serological and molecular analysis, we report the absence of association of psychiatric illness with antibodies to BDV or with BDV nucleic acids in serially collected serum and white blood cell samples from 396 subjects, a study population comprised of 198 matched pairs of patients and healthy controls (52 SZ/control pairs, 66 BD/control pairs and 80 MDD/control pairs). Our results argue strongly against a role for BDV in the pathogenesis of these psychiatric disorders.
Simulating the diurnal cycle of rainfall in global climate models: resolution versus parameterization
The effects of horizontal resolution and the treatment of convection on simulation of the diurnal cycle of precipitation during boreal summer are analyzed in several innovative weather and climate model integrations. The simulations include: season-long integrations of the Non-hydrostatic Icosahedral Atmospheric Model (NICAM) with explicit clouds and convection; year-long integrations of the operational Integrated Forecast System (IFS) from the European Centre for Medium-range Weather Forecasts at three resolutions (125, 39 and 16 km); seasonal simulations of the same model at 10 km resolution; and seasonal simulations of the National Center for Atmospheric Research (NCAR) low-resolution climate model with and without an embedded two-dimensional cloud-resolving model in each grid box. NICAM with explicit convection simulates best the phase of the diurnal cycle, as well as many regional features such as rainfall triggered by advancing sea breezes or high topography. However, NICAM greatly overestimates mean rainfall and the magnitude of the diurnal cycle. Introduction of an embedded cloud model within the NCAR model significantly improves global statistics of the seasonal mean and diurnal cycle of rainfall, as well as many regional features. However, errors often remain larger than for the other higher-resolution models. Increasing resolution alone has little impact on the timing of daily rainfall in IFS with parameterized convection, yet the amplitude of the diurnal cycle does improve along with the representation of mean rainfall. Variations during the day in atmospheric prognostic fields appear quite similar among models, suggesting that the distinctive treatments of model physics account for the differences in representing the diurnal cycle of precipitation.
Analysis of protein-coding genetic variation in 60,706 humans
Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. Here we describe the aggregation and analysis of high-quality exome (protein-coding region) DNA sequence data for 60,706 individuals of diverse ancestries generated as part of the Exome Aggregation Consortium (ExAC). This catalogue of human genetic diversity contains an average of one variant every eight bases of the exome, and provides direct evidence for the presence of widespread mutational recurrence. We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; identifying 3,230 genes with near-complete depletion of predicted protein-truncating variants, with 72% of these genes having no currently established human disease phenotype. Finally, we demonstrate that these data can be used for the efficient filtering of candidate disease-causing variants, and for the discovery of human ‘knockout’ variants in protein-coding genes. Exome sequencing data from 60,706 people of diverse geographic ancestry is presented, providing insight into genetic variation across populations, and illuminating the relationship between DNA variants and human disease. An in-depth insight into human genetic variation As part of the Exome Aggregation Consortium (ExAC) project, Daniel MacArthur and colleagues report on the generation and analysis of high-quality exome sequencing data from 60,706 individuals of diverse ancestry. This provides the most comprehensive catalogue of human protein-coding genetic variation to date, yielding unprecedented resolution for the analysis of very rare variants across multiple human populations. The catalogue is freely accessible and provides a critical reference panel for the clinical interpretation of genetic variants and the discovery of disease-related genes.