22 research outputs found
Continuous and Adaptive Cartographic Generalization of River Networks
The focus of our research is on a new automated smoothing method and its applications. Traditionally, the application of a smoothing method to a collection of polylines produces a new smoothed dataset. Although the new dataset was derived from the original dataset, it is stored independently. Since many smoothing methods are slow to execute, this is a valid trade-off. However, this greatly increases the data storage requirements for each new smoothing. A consequence of this approach is that interactive map systems can only offer maps at a discrete set of scales. It is desirable to have a fast enough method that would support the reuse of a single base dataset for on-the-fly smoothing for the production of maps at any scale.We were able to create a framework for the automated smoothing of river networks based on the following major contributions:– A wavelet--based method for polyline smoothing and endpoint preservation– Inverse Mirror Periodic (IMP) representation of functions and signals, and dimensional wavelets– Smoothing of features that does not change abruptly between scales– Features are pruned in a continuous manner with respect to scale– River network connectedness is maintained for all scales– Reuse of a base geographic dataset for all scales– Design and implementation of an interactive map viewer for linear hydrographic features that renders in subsecond timeWe have created an interactive map that can smoothly zoom to any region. Numerical experiments show that our wavelet-based method produces cartographically appropriate smoothing for tributaries. The system is implemented to view hydrographic data, such as the USGS National Hydrography Dataset (NHD). The map demonstrates that a wavelet--based approach is well suited for basic generalization operations. It provides smoothing and pruning that is continuously dependent on map scale
Biofouling of Reverse Osmosis Membranes: Positively Contributing Factors of <i>Sphingomonas</i>
In
the present study, we investigate the possible contribution
of <i>Sphingomonas</i> spp. glycosphingolipids (GSL) and
its extracellular polymeric substances (EPS) to the initial colonization
and development of biofilm bodies on reverse osmosis (RO) membranes.
A combination of an RO cross-flow membrane lab unit, a quartz crystal
microbalance with dissipation (QCM-D), and a rear stagnation point
flow (RSPF) system with either model bacteria (<i>Sphingomonas
wittichii</i>, <i>Escherichia coli</i>, and <i>Pseudomonas aeruginosa</i>) or vesicles made of the bacterial
GSL or LPS was used. Results showed noticeable differences in the
adhesion LPS versus GSL vesicles in the QCM-D, with the latter exhibiting
50% higher adhesion to polyamide coated crystals (mimicking an RO
membrane surface). A similar trend was observed for EPS extracted
from <i>S. wittichii</i>, when compared to the adhesion
tendency of EPS extracted from <i>P. aeruginosa</i>. By
applying the whole-cell approach in the RO lab unit, the cumulative
impact of <i>S. wittichii</i> cells composing GSL and probably
their EPS reduced the permeate flux during bacterial accumulation
on the membrane surface. Experiments were conducted with the same
amount of <i>Sphingomonas</i> spp. or <i>Escherichia
coli</i> cells resulting in a two times greater flux decline
in the presence of <i>S. wittichii</i>. The distinct effects
of <i>Sphingomonas</i> spp. on RO membrane biofouling are
likely a combination of GSL presence (known for enhancing adhesion
when compared to non-GSL containing bacteria) and the EPS contributing
to the overall strength of the biofilm matrix
Bacterial Attachment and Viscoelasticity: Physicochemical and Motility Effects Analyzed Using Quartz Crystal Microbalance with Dissipation (QCM-D)
This investigation is focused on the combined effect
of bacterial
physicochemical characteristics and motility on cell adhesion and
deposition using a flow-through quartz crystal microbalance with dissipation
(QCM-D). Three model flagellated strains with different degrees of
motility were selected, including a highly motile <i>Escherichia
coli</i> K12 MG1655, an environmental strain <i>Sphingomonas
wittichii</i> RW1, and a nonmotile (with paralyzed flagella) <i>Escherichia coli</i> K12 MG1655 Δ<i>motA</i> that is incapable of encoding the motor torque generator for flagellar
movement. Of the three strains, <i>S. wittichii</i> RW1
is highly hydrophobic, while <i>E. coli</i> strains are
equally hydrophilic. Consideration of the hydrophobicity provides
an alternative explanation for the bacterial adhesion behavior. QCM-D
results show that motility is a critical factor in determining bacterial
adhesion, as long as the aquatic chemical conditions are conducive
for motility and the substratum and bacterial surface are similarly
hydrophobic or hydrophilic. Once their properties are not similar,
the contribution of hydrophobic interactions becomes more pronounced.
QCM-D results suggest that during adhesion of the hydrophobic bacterium, <i>S. wittichii</i> RW1, the initial step of adhesion and maturation
of bacteria–substratum interaction on hydrophilic surface includes
a dynamic change of the viscoelastic properties of the bond bacterium-surface
becoming more viscously oriented
Glycosphingolipids Enhance Bacterial Attachment and Fouling of Nanofiltration Membranes
Biofouling is a ubiquitous problem
in many places in society and
technology, especially in reverse osmosis or nanofiltration (NF) processes.
Initial stages in the development of the biofilm include attachment
of bacteria to the surface, where bacterial outer membrane components
such as biopolymers, lipids, and proteins play important roles. Here
we show that the glycosphingolipid (GSL) unique to <i>Sphingomonas</i> species is a key player in the initial attachment of bacteria to
NF membranes whereas lipopolysaccharide (LPS), the major glycolipid
in many Gram-negative species, is less significant. GSL and LPS were
deposited on an NF membrane with subsequent bacterial culture injection
in a three-dimensionally printed microfluidic flow cell. Flux, rejection,
and pressure changes showed that GSL caused permanent membrane fouling.
This study underlines the significance of <i>Sphingomonas</i> for the initial attachment of bacteria to membranes. A deeper understanding
and identification of key components in the biofouling process may
help define strategies for biofilm prevention
Matrix Metalloproteinases Expression Is Associated with SARS-CoV-2-Induced Lung Pathology and Extracellular-Matrix Remodeling in K18-hACE2 Mice
The COVID-19 pandemic caused by the SARS-CoV-2 infection induced lung inflammation characterized by cytokine storm and fulminant immune response of both resident and migrated immune cells, accelerating alveolar damage. In this work we identified members of the matrix metalloprotease (MMPs) family associated with lung extra-cellular matrix (ECM) destruction using K18-hACE2-transgenic mice (K18-hACE2) infected intranasally with SARS-CoV-2. Five days post infection, the lungs exhibited overall alveolar damage of epithelial cells and massive leukocytes infiltration. A substantial pulmonary increase in MMP8, MMP9, and MMP14 in the lungs post SARS-CoV-2 infection was associated with degradation of ECM components including collagen, laminin, and proteoglycans. The process of tissue damage and ECM degradation during SARS-CoV-2 lung infection is suggested to be associated with activity of members of the MMPs family, which in turn may be used as a therapeutic intervention