The effect of high-energy extracorporeal shock waves on hyaline cartilage of adult rats in vivo

The aim of this study was to determine if extracorporeal shock wave therapy (ESWT) in vivo affects the structural integrity of articular cartilage. A single bout of ESWT (1500 shock waves of 0.5 mJ/mm(2)) was applied to femoral heads of 18 adult Sprague-Dawley rats. Two sham-treated animals served as controls. Cartilage of each femoral head was harvested at 1, 4, or 10 weeks after ESWT (n = 6 per treatment group) and scored on safranin-O-stained sections. Expression of tenascin-C and chitinase 3-like protein 1 (Chi3L1) was analyzed by immunohistochemistry. Quantitative real-time polymerase chain reaction (PCR) was used to examine collagen (II)alpha(1) (COL2A1) expression and chondrocyte morphology was investigated by transmission electron microscopy no changes in Mankin scores were observed after ESWT. Positive immunostaining for tenascin-C and Chi3L1 was found up to 10 weeks after ESWT in experimental but not in control cartilage. COL2A1 mRNA was increased in samples 1 and 4 weeks after ESWT. Alterations found on the ultrastructural level showed expansion of the rough-surfaced endoplasmatic reticulum, detachment of the cell membrane and necrotic chondrocytes. Extracorporeal shock waves caused alterations of hyaline cartilage on a molecular and ultrastructural level that were distinctly different from control. Similar changes were described before in the very early phase of osteoarthritis (OA). High-energy ESWT might therefore cause degenerative changes in hyaline cartilage as they are found in initial OA.

Ca(2+) release from the sarcoplasmic reticulum activated by the low affinity Ca(2+) chelator TPEN in ventricular myocytes

The Ca(2+) content of the sarcoplasmic reticulum (SR) of cardiac myocytes is thought to play a role in the regulation and termination of SR Ca(2+) release through the ryanodine receptors (RyRs). Experimentally altering the amount of Ca(2+) within the SR with the membrane-permeant low affinity Ca(2+) chelator TPEN could improve our understanding of the mechanism(s) by which SR Ca(2+) content and SR Ca(2+) depletion can influence Ca(2+) release sensitivity and termination. We applied laser-scanning confocal microscopy to examine SR Ca(2+) release in freshly isolated ventricular myocytes loaded with fluo-3, while simultaneously recording membrane currents using the whole-cell patch-clamp technique. Following application of TPEN, local spontaneous Ca(2+) releases increased in frequency and developed into cell-wide Ca(2+) waves. SR Ca(2+) load after TPEN application was found to be reduced to about 60% of control. Isolated cardiac RyRs reconstituted into lipid bilayers exhibited a two-fold increase of their open probability. At the low concentration used (20-40muM), TPEN did not significantly inhibit the SR-Ca(2+)-ATPase in SR vesicles. These results indicate that TPEN, traditionally used as a low affinity Ca(2+) chelator in intracellular Ca(2+) stores, may also act directly on the RyRs inducing an increase in their open probability. This in turn results in an increased Ca(2+) leak from the SR leading to its Ca(2+) depletion. Lowering of SR Ca(2+) content may be a mechanism underlying the recently reported cardioprotective and antiarrhythmic features of TPEN.

Static and dynamic contact angle measurement on rough surfaces using sessile drop profile analysis with application to water management in low temperature fuel cells

Fuel Cells are a promising alternative energy technology. One of the biggest problems that exists in fuel cell is that of water management. A better understanding of wettability characteristics in the fuel cells is needed to alleviate the problem of water management. Contact angle data on gas diffusion layers (GDL) of the fuel cells can be used to characterize the wettability of GDL in fuel cells. A contact angle measurement program has been developed to measure the contact angle of sessile drops from drop images. Digitization of drop images induces pixel errors in the contact angle measurement process. The resulting uncertainty in contact angle measurement has been analyzed. An experimental apparatus has been developed for contact angle measurements at different temperature, with the feature to measure advancing and receding contact angles on gas diffusion layers of fuel cells.

A Physically Based Transmission Model of Rough Surfaces

Transparent and translucent objects involve both light reflection and transmission at surfaces. This paper presents a physically based transmission model of rough surface. The surface is assumed to be locally smooth, and statistical techniques is applied to calculate light transmission through a local illumination area. We have obtained an analytical expression for single scattering. The analytical model has been compared to our Monte Carlo simulations as well as to the previous simulations, and good agreements have been achieved. The presented model has potential applications for realistic rendering of transparent and translucent objects.

Rough Waters: Life at Sea in the 19th Century

This talk consists of two parts - first part deals with what Jeffrey Bolster called “The Changing Nature of Maritime Insurrection”- and I will tie that into some research that I did on a New York clipper ship called the Contest. The second part of the talk will look at the rise of seafarer’s missions and that will tie Roald Kverndal’s magnum opus Seamen’s Missions: Their Origin and Early Growth into some research that I did on the earliest work done in New York among seafarers that pre-dated the American Seamen’s Friend Society.

Induction of endoplasmic reticular stress by bortezomib: A novel therapeutic strategy for pancreatic cancer

Bortezomib (VELCADE™, formerly known as PS-341) is a selective and potent inhibitor of the proteasome that was recently FDA-approved for the treatment of multiple myeloma. Despite its success in multiple myeloma and progression into clinical trials for other malignancies, bortezomib's exact mechanism of action remains undefined. The major objective of this study was to evaluate the anticancer activity of this drug using in vitro and in vivo pancreatic cancer models and determine whether bortezomib-induced apoptosis occurs via induction of endoplasmic reticular (ER) stress. The investigation revealed that bortezomib inhibited tumor cell proliferation via abrogation of cdk activity and induced apoptosis in pancreatic cancer cell lines. I hypothesized that bortezomib-induced apoptosis was triggered by a large accumulation ubiquitin-conjugated proteins that resulted in ER stress. My data demonstrated that bortezomib induced a unique type of ER stress in that it inhibited PKR-like ER kinase (PERK) and subsequent phosphorylation of eukaryotic initiation factor 2α (eif2α), a key event in translational suppression. The combined effects of proteasome inhibition and the failure to attenuate translation resulted in an accumulation of aggregated proteins (proteotoxicity), JNK activation, cytochrome c release, caspase-3 activation, and DNA fragmentation. Bortezomib also enhanced apoptosis induced by other agents that stimulated the unfolded protein response (UPR), demonstrating that translational suppression is a critical cytoprotective mechanism during ER stress. Tumor cells attempt to survive bortezomib-induced ER stress by sequestering aggregated proteins into large structures, termed aggresomes. Since histone deacetylase 6 (HDAC6) is essential for aggresome formation, tumor cells may be sensitized to bortezomib-induced apoptosis by blocking HDAC function. My results demonstrated that HDAC inhibitors disrupted aggresome formation and synergized with bortezomib to induce apoptosis in pancreatic cancer or multiple myeloma cells in vitro and in orthotopic pancreatic tumors in vivo. Taken together, my data establish a mechanistic link between bortezomib-induced aggresome formation, ER stress, and apoptosis and identify a novel therapeutic strategy for the treatment of pancreatic cancer and other hematologic and solid malignancies. ^

Abnormal junctions between surface membrane and sarcoplasmic reticulum in skeletal muscle with a mutation targeted to the ryanodine receptor.

Junctions that mediate excitation-contraction (e-c) coupling are formed between the sarcoplasmic reticulum (SR) and either the surface membrane or the transverse (T) tubules in normal skeletal muscle. Two structural components of the junctions, the feet of the SR and the tetrads of T tubules, have been identified respectively as ryanodine receptors (RyRs, or SR calcium-release channels), and as groups of four dihydropyridine receptors (DHPRs, or voltage sensors of e-c coupling). A targeted mutation (skrrm1) of the gene for skeletal muscle RyRs in mice results in the absence of e-c coupling in homozygous offspring of transgenic parents. The mutant gene is expected to produce no functional RyRs, and we have named the mutant mice "dyspedic" because they lack feet--the cytoplasmic domain of RyRs anchored in the SR membrane. We have examined the development of junctions in skeletal muscle fibers from normal and dyspedic embryos. Surprisingly, despite the absence of RyRs, junctions are formed in dyspedic myotubes, but the junctional gap between the SR and T tubule is narrow, presumably because the feet are missing. Tetrads are also absent from these junctions. The results confirm the identity of RyRs and feet and a major role for RyRs and tetrads in e-c coupling. Since junctions form in the absence of feet and tetrads, coupling of SR to surface membrane and T tubules appears to be mediated by additional proteins, distinct from either RyRs or DHPRs.

Models and methods for the direct simulation of rough and micropatterned surfaces

Friction in hydrodynamic bearings are a major source of losses in car engines ([69]). The extreme loading conditions in those bearings lead to contact between the matching surfaces. In such conditions not only the overall geometry of the bearing is relevant, but also the small-scale topography of the surface determines the bearing performance. The possibility of shaping the surface of lubricated bearings down to the micrometer ([57]) opened the question of whether friction can be reduced by mean of micro-textures, with mixed results. This work focuses in the development of efficient numerical methods to solve thin film (lubrication) problems down to the roughness scale of measured surfaces. Due to the high velocities and the convergent-divergent geometries of hydrodynamic bearings, cavitation takes place. To treat cavitation in the lubrication problem the Elrod- Adams model is used, a mass-conserving model which has proven in careful numerical ([12]) and experimental ([119]) tests to be essential to obtain physically meaningful results. Another relevant aspect of the modeling is that the bearing inertial effects are considered, which is necessary to correctly simulate moving textures. As an application, the effects of micro-texturing the moving surface of the bearing were studied. Realistic values are assumed for the physical parameters defining the problems. Extensive fundamental studies were carried out in the hydrodynamic lubrication regime. Mesh-converged simulations considering the topography of real measured surfaces were also run, and the validity of the lubrication approximation was assessed for such rough surfaces.

Algorithm for the detection of outliers based on the theory of rough sets

Outliers are objects that show abnormal behavior with respect to their context or that have unexpected values in some of their parameters. In decision-making processes, information quality is of the utmost importance. In specific applications, an outlying data element may represent an important deviation in a production process or a damaged sensor. Therefore, the ability to detect these elements could make the difference between making a correct and an incorrect decision. This task is complicated by the large sizes of typical databases. Due to their importance in search processes in large volumes of data, researchers pay special attention to the development of efficient outlier detection techniques. This article presents a computationally efficient algorithm for the detection of outliers in large volumes of information. This proposal is based on an extension of the mathematical framework upon which the basic theory of detection of outliers, founded on Rough Set Theory, has been constructed. From this starting point, current problems are analyzed; a detection method is proposed, along with a computational algorithm that allows the performance of outlier detection tasks with an almost-linear complexity. To illustrate its viability, the results of the application of the outlier-detection algorithm to the concrete example of a large database are presented.

No. 6 Rough Draught of Memorial of Col. Officers, [1799 February]

Four folio-sized leaves containing a handwritten draft of a petition to the Massachusetts General Court from the Harvard President and Professors regarding the addition of a clause in a pending tax act denying tax exemptions to the Harvard College officers. The petition specifically responds to the statements in the January 1799 memorial of the Committee of the Town of Cambridge.