90 research outputs found
Effect of surface interactions on the hysteresis of capillary condensation in nanopores
Gas adsorption and liquid desorption of a number of organic vapors in anodized nanoporous alumina, with controlled geometry (cylindrical pore diameters from 10 to 60 nm), are studied using optical interferometry. The narrow-diameter distribution of disconnected pores allows checking the validity of the (long-predicted but not experimentally verified) Kelvin equation without any adjustable parameters, modeling or other assumptions. Evaporation occurs at liquid-vapor equilibrium according to this equation, whereas condensation occurs from metastable states of the vapor phase by nucleation, enhanced by surface defects inside the nanopores. This produces hysteresis, in qualitative agreement with theoretical models and simulations that use Van der Waals interactions between the fluid and the pore surface. The reproducibility of the hysteresis depends on the strength of these interactions, which play an important role in the dynamics of capillary condensation
Application of thermovision for analysis of superficial temperature distribution changes after physiotherapy
RNA motif search with data-driven element ordering
BACKGROUND: In this paper, we study the problem of RNA motif search in long genomic sequences. This approach uses a combination of sequence and structure constraints to uncover new distant homologs of known functional RNAs. The problem is NP-hard and is traditionally solved by backtracking algorithms. RESULTS: We have designed a new algorithm for RNA motif search and implemented a new motif search tool RNArobo. The tool enhances the RNAbob descriptor language, allowing insertions in helices, which enables better characterization of ribozymes and aptamers. A typical RNA motif consists of multiple elements and the running time of the algorithm is highly dependent on their ordering. By approaching the element ordering problem in a principled way, we demonstrate more than 100-fold speedup of the search for complex motifs compared to previously published tools. CONCLUSIONS: We have developed a new method for RNA motif search that allows for a significant speedup of the search of complex motifs that include pseudoknots. Such speed improvements are crucial at a time when the rate of DNA sequencing outpaces growth in computing. RNArobo is available at http://compbio.fmph.uniba.sk/rnarobo. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12859-016-1074-x) contains supplementary material, which is available to authorized users
Residual Stress, Microstructure and Hardness of Thin-Walled Low-Carbon Steel Pipes Welded Manually
Targeting of alpha(v) integrin identifies a core molecular pathway that regulates fibrosis in several organs
Myofibroblasts are the major source of extracellular matrix components that accumulate during tissue fibrosis, and hepatic stellate cells (HSCs) are the major source of myofibroblasts in the liver. To date, robust systems to genetically manipulate these cells have not existed. We report that Pdgfrb-Cre inactivates genes in murine HSCs with high efficiency. We used this system to delete the αv integrin subunit because of the suggested role of multiple αv integrins as central mediators of fibrosis in multiple organs. Depletion of the αv integrin subunit in HSCs protected mice from CCl(4)-induced hepatic fibrosis, whereas global loss of αvβ3, αvβ5 or αvβ6 or conditional loss of αvβ8 on HSCs did not. Pdgfrb-Cre effectively targeted myofibroblasts in multiple organs, and depletion of αv integrins using this system was also protective in models of pulmonary and renal fibrosis. Critically, pharmacological blockade of αv integrins by a novel small molecule (CWHM 12) attenuated both liver and lung fibrosis, even when administered after fibrosis was established. These data identify a core pathway that regulates fibrosis, and suggest that pharmacological targeting of all αv integrins may have clinical utility in the treatment of patients with a broad range of fibrotic diseases
Connecting smoke plumes to sources using Hazard Mapping System (HMS) smoke and fire location data over North America
Fires represent an air quality challenge because they are
large, dynamic and transient sources of particulate matter and ozone
precursors. Transported smoke can deteriorate air quality over large
regions. Fire severity and frequency are likely to increase in the future,
exacerbating an existing problem. Using the National Environmental
Satellite, Data, and Information Service (NESDIS) Hazard Mapping System (HMS)
smoke data for North America for the period 2007 to 2014, we examine a
subset of fires that are confirmed to have produced sufficient smoke to
warrant the initiation of a U.S. National Weather Service smoke forecast. We
find that gridded HMS-analyzed fires are well correlated (r =  0.84) with
emissions from the Global Fire Emissions Inventory Database 4s (GFED4s). We
define a new metric, smoke hours, by linking observed smoke plumes to active
fires using ensembles of forward trajectories. This work shows that the
Southwest, Northwest, and Northwest Territories initiate the most air
quality forecasts and produce more smoke than any other North American
region by measure of the number of HYSPLIT points analyzed, the duration of
those HYSPLIT points, and the total number of smoke hours produced. The
average number of days with smoke plumes overhead is largest over the
north-central United States. Only Alaska, the Northwest, the Southwest, and Southeast
United States regions produce the majority of smoke plumes observed over their own
borders. This work moves a new dataset from a daily operational setting to a
research context, and it demonstrates how changes to the frequency or
intensity of fires in the western United States could impact other regions
Medical applications of model based dynamic thermography
The proposal to use active thermography in medical diagnostics is promising in some applications concerning investigation of directly accessible parts of the human body. The combination of dynamic thermograms with thermal models of investigated structures gives attractive possibility to make internal structure reconstruction basing on different thermal properties of biological tissues. Measurements of temperature distribution synchronized with external light excitation allow registration of dynamic changes of local temperature dependent on heat exchange conditions. Preliminary results of active thermography applications in medicine are discussed. For skin and under- skin tissues an equivalent thermal model may be determined. For the assumed model its effective parameters may be reconstructed basing on the results of transient thermal processes. For known thermal diffusivity and conductivity of specific tissues the local thickness of a two or three layer structure may be calculated. Results of some medical cases as well as reference data of in vivo study on animals are presented. The method was also applied to evaluate the state of the human heart during the open chest cardio-surgical interventions. Reference studies of evoked heart infarct in pigs are referred, too. We see the proposed new in medical applications technique as a promising diagnostic tool. It is a fully non-invasive, clean, handy, fast and affordable method giving not only qualitative view of investigated surfaces but also an objective quantitative measurement result, accurate enough for many applications including fast screening of affected tissues
Tu1611 – Psychological Flexibility As an Important Feature of Digestive Health for Patients Undergoing Cognitive Behavioral Therapy for Irritable Bowel Syndrome
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