Abstract : The most important conclusions of this program for biology arc that mechanical forces (here, generated magnetically) applied to the surface of cells provides a method of stimulating cells, and of reading out their response (via changes in the cytoskeleton) to changes in their environment. Magnetic interactions have many characteristics required for broad utility in biomedicine: in particles, i) magnetic forces can be much stronger than optical forces; ii) they are not screened or attenuated (as are optical and electrostatic forces) by the medium; iii) the availability of nanoscale magnetic particles, and to modify the properties of these particles through surface chemistry, provides a method of applying large forces locally and to specific receptors or targets; iv) cells respond readily to mechanical stimulation by magnetic forces; v) magnetic interactions provide the basis for a range of methods for separations of cells and molecules.
This is a study of the formulation, some basic solutions, and applications of the Biot linearized quasistatic elasticity theory of fluid‐infiltrated porous materials. Whereas most previously solved problems are based on idealizing the fluid and solid constituents as separately incompressible, full account is taken here of constituent compressibility. Previous studies are reviewed and the Biot constitutive equations relating strain and fluid mass content to stress and pore pressure are recast in terms of new material parameters, more directly open to physical interpretation as the Poisson ratio and induced pore pressure coefficient in undrained deformation. Different formulations of the coupled deformation/diffusion field equations and their analogues in coupled thermoelasticity are discussed, and a new formulation with stress and pore pressure as basic variables is presented that leads, for plane problems, to a convenient complex variable representation of solutions. The problems solved include those of the suddenly introduced edge dislocation and concentrated line force and of the suddenly pressurized cylindrical and spherical cavity. The dislocation solution is employed to represent that for quasi‐static motions along a shear fault, and a discussion is given, based on fracture mechanics models for fault propagation, of phenomena involving coupled behavior between the rupturing solid and its pore fluid, which could serve to stabilize a fault against rapid spreading. Also, the solution for a pressurized cylindrical cavity leads to a time‐dependent stress field near the cavity wall, and its relevance to time effects in the inception of hydraulic fractures from boreholes, or from drilled holes in laboratory specimens, is discussed. Various limiting cases are identified, and numerical values of the controlling porous media elastic parameters are given for several rocks.
Mathematical software started as a scientific activity almost as soon as serious scientific computing. The field was brought into focus at the symposium Mathematical Software held at Purdue University on April 1-3, 1970. The symposium's organizing committee was John Rice (chairman), Robert Ashenhurst, Charles Lawson, Stuart Lynn and Joseph Traub. It was sponsored by ACM and SIGNUM and financially supported by the Office of Naval Research. Mathematical software was defined then as the set of algorithms in the area of mathematics and it was noted that this definition is much broader than traditional numerical analysis. Even today there are large areas of mathematical software which have yet to be studied systematically or seriously (e.g., geometric algorithms).
Understanding the hydrodynamic maneuvering capabilities of our Navy's submarines is a vital aspect of submarine design and in-service life. In the Hydrodynamics Testing Branch at the Naval Surface Warfare Center, Carderock Division (NSWCCD), autonomous underwater vehicles (AUVs) that are scale models of the Navy's submarines are developed to provide high fidelity data on maneuvering characteristics. These vehicles not only function as AUVs with a standard suite of navigation functionality, but they also perform a vehicle maneuver to replicate the full scale submarine's capability and collect hundreds of channels of data that are used for analysis and simulation validation. The Autonomous Submarine Models are tested in unique indoor and outdoor facilities that provide extensive technological and personnel support for vehicle maneuvering testing and analysis. This paper describes the technology and innovations that are used in the hydrodynamic testing of autonomous scale models of our Navy's submarines including control, navigation, data collection, and test deployment.
The mechanics of interface cracks has recently been clarified (e.g., [1]) and a number of efforts are underway to develop a mechanics of interface fracture
Background: Prior observational studies suggest that self-reported consumption of dairy foods is associated with lower risk of type 2 diabetes (DM). Few studies have used circulating biomarkers that provide objective measures of dairy fat consumption. Aim: To test the hypothesis that plasma fatty acid biomarkers of dairy fat, 15:0, 17:0, 16:1 n-7t and 14:0, are associated with lower incidence of DM. Methods: We used gas-liquid chromatography to measure plasma 15:0, 17:0, 16:1 n-7t and 14:0 biomarkers in 3,347 adults aged 30-75 years and free of prevalent DM at baseline in two separate U.S. prospective cohorts, Nurses’ Health Study (NHS) and Health Professionals’ Follow Up Study (HPFS). Incident DM was identified through 2008 and confirmed by validated supplementary questionnaire using symptoms, diagnostic tests, and medical therapy. Cox proportional hazards regression was used and cohort findings pooled by fixed-effects meta-analysis. Results: During mean ± SD follow-up of 14.0 ± 4.9 years, 254 new cases of DM were diagnosed. Correlations with self-reported dairy fat consumption were modest for 17:0 (r=0.19), 16:1 n-7t (r=0.21) and 15:0 (r=0.27), and weaker for 14:0 (r=0.12). In pooled multivariate analyses, comparing highest to lowest quartiles, lower risk of DM was seen for 17:0 [HR=0.57 (95% CI: 0.39 - 0.82), P-trend=0.001] and 16:1 n-7t [HR=0.60 (0.42 - 0.87), P-trend=0.007], while 14:0 was positively associated [HR=1.98 (1.35 - 2.91), P-trend <0.0001] and 15:0 was not associated [HR=1.11 (0.75 - 1.63), P-trend=0.80] ( Table ). Conclusion: In separate prospective cohorts, two biomarkers of dairy fat (17:0 and 16:1 n-7t) were associated with lower incidence of DM. 14:0, which is also obtained from beef, and is a marker of de novo lipogenesis, was associated with increased risk. Further research is needed on plausible biological and mechanistic pathways.
Higher dietary intake of animal fat and two or more servings per week of red meat may increase risk for microalbuminuria. Lower sodium and higher beta-carotene intake may reduce risk for eGFR decline.