1,454 research outputs found
Instrumented fusion of thoracolumbar fracture with type I mineralized collagen matrix combined with autogenous bone marrow as a bone graft substitute: a four-case report
In order to avoid the morbidity from autogenous bone harvesting, bone graft substitutes are being used more frequently in spinal surgery. There is indirect radiological evidence that bone graft substitutes are efficacious in humans. The purpose of this four-case study was to visually, manually, and histologically assess the quality of a fusion mass produced by a collagen hydroxyapatite scaffold impregnated with autologous bone marrow aspirate for posterolateral fusion. Four patients sustained an acute thoracolumbar fracture and were treated by short posterior segment fusion using the AO fixateur interne. Autologous bone marrow (iliac crest) impregnated hydroxyapatite-collagen scaffold was laid on the decorticated posterior elements. Routine implant removal was performed after a mean of 15.3months (12-20). During this second surgery, fusion mass was assessed visually and manually. A bone biopsy was sent for histological analysis of all four cases. Fusion was confirmed in all four patients intraoperatively and sagittal stress testing confirmed mechanical adequacy of the fusion mass. Three out of the four (cases 2-4) had their implants removed between 12 and 15months after the index surgery. All their histological cuts showed evidence of newly formed bone and presence of active membranous and/or enchondral ossification foci. The last patient (case 1) underwent implant removal at 20months and his histological cuts showed mature bone, but no active ossification foci. This four-case report suggests that the fusion mass produced by a mineralized collagen matrix graft soaked in aspirated bone marrow is histologically and mechanically adequate in a thoracolumbar fracture model. A larger patient series and/or randomized controlled studies are warranted to confirm these initial result
Food Store Choice of Poor Households: A Discrete Choice Analysis of the National Household Food Acquisition and Purchase Survey
Policymakers are pursing initiatives to increase food access for low-income households. However, due in part to previous data deficiencies, there is still little evidence supporting the assumption that improved food store access will alter dietary habits, especially for the poorest of U.S. households. This article uses the new National Household Food Acquisition and Purchase Survey (FoodAPS) to estimate consumer food outlet choices as a function of outlet type and household attributes in a multinomial mixed logit. In particular, we allow for the composition of the local retail food environment to play a role in explaining household store choice decisions and food acquisition patterns. We find that (1) households are willing to pay more per week in distance traveled to shop at superstores, supermarkets, and fast food outlets than at farmers markets and smaller grocery stores, and (2) willingness to pay is heterogeneous across income group, Supplemental Nutrition Assistance Program (SNAP) participation, and other household and food environment characteristics. Our results imply that policymakers should consider incentivizing the building of certain outlet types over others, and that Healthy Food Financing Initiatives should be designed to fit the sociodemographic composition of each identified low-income, low-access area in question
Text Conditional Alt-Text Generation for Twitter Images
In this work we present an approach for generating alternative text (or
alt-text) descriptions for images shared on social media, specifically Twitter.
This task is more than just a special case of image captioning, as alt-text is
both more literally descriptive and context-specific. Also critically, images
posted to Twitter are often accompanied by user-written text that despite not
necessarily describing the image may provide useful context that if properly
leveraged can be informative -- e.g. the tweet may name an uncommon object in
the image that the model has not previously seen. We address this with a CLIP
prefix model that extracts an embedding of the image and passes it to a mapping
network that outputs a short sequence in word embedding space, or a ``prefix'',
to which we also concatenate the text from the tweet itself. This lets the
model condition on both visual and textual information from the post. The
combined multimodal prefix is then fed as a prompt to a pretrained language
model which autoregressively completes the sequence to generate the alt-text.
While prior work has used similar methods for captioning, ours is the first to
our knowledge that incorporates textual information from the associated social
media post into the prefix as well, and we further demonstrate through
ablations that utility of these two information sources stacks. We put forward
a new dataset scraped from Twitter and evaluate on it across a variety of
automated metrics as well as human evaluation, and show that our approach of
conditioning on both tweet text and visual information significantly
outperforms prior work
MS-1 magA: Revisiting Its Efficacy as a Reporter Gene for MRI
Bacterial genes involved in the biomineralization of magnetic nanoparticles in magnetotactic bacteria have recently been proposed as reporters for magnetic resonance imaging (MRI). In such systems, the expression of the bacterial genes in mammalian cells purportedly leads to greater concentrations of intracellular iron or the biomineralization of iron oxides, thus leading to an enhancement in relaxation rate that is detectable via MRI. Here, we show that the constitutive expression of the magA gene from Magnetospirillum magnetotacticum is tolerated by human embryonic kidney (HEK) cells but induces a strong toxic effect in murine mesenchymal/stromal cells and kidney-derived stem cells, severely restricting its effective use as a reporter gene for stem cells. Although it has been suggested that magA is involved in iron transport, when expressed in HEK cells, it does not affect the transcription of endogenous genes related to iron homeostasis. Furthermore, the magA -induced enhancement in iron uptake in HEK cells is insignificant, suggesting this gene is a poor reporter even for cell types that can tolerate its expression. We suggest that the use of magA for stem cells should be approached with caution, and its efficacy as a reporter gene requires a careful assessment on a cell-by-cell basis
Does Student Engagement Have a Darkside?
Academic misconduct is a growing problem on college campuses. A student’s academic life on campus can take a dark turn if a student does not manage their workload, engagement, or time management well. These variables can overlap if a student is overwhelmed, under-engaged, and busy. A heavy workload can result in a lack of engagement at a student’s institution. Institutions can help students develop strategies that provide a foundation for healthy engagement habits that work against academic dishonesty. Academic success can be affected by students’ time management skills in mitigating the effects of time pressure. Institutions can help students combat a heavy workload with academic campus resources such as writing centers, peer mentors, and advising. These variables can then lead to a student engaging in academic misconduct if they are under-engaged, overly busy, and have poor time management skills
A systematic review of digital interventions for improving the diet and physical activity behaviors of adolescents
Many adolescents have poor diet and physical activity behaviors, which can lead to the development of noncommunicable diseases in later life. Digital platforms offer inexpensive means of delivering health interventions, but little is known about their effectiveness. This systematic review was conducted to synthesize evidence on the effectiveness of digital interventions to improve diet quality and increase physical activity in adolescents, to effective intervention components and to assess the cost-effectiveness of these interventions. Following a systematic search, abstracts were assessed against inclusion criteria, and data extraction and quality assessment were performed for included studies. Data were analyzed to identify key features that are associated with significant improvement in behavior. A total of 27 studies met inclusion criteria. Most (n = 15) were Web site interventions. Other delivery methods were text messages, games, multicomponent interventions, emails, and social media. Significant behavior change was often seen when interventions included education, goal setting, self-monitoring, and parental involvement. None of the publications reported cost-effectiveness. Due to heterogeneity of studies, meta-analysis was not feasible.It is possible to effect significant health behavior change in adolescents through digital interventions that incorporate education, goal setting, self-monitoring, and parental involvement. Most of the evidence relates to Web sites and further research into alternate media is needed, and longer term outcomes should be evaluated. There is a paucity of data on the cost-effectiveness of digital health interventions, and future trials should report these data
Managing Wildfire Risk and Promoting Equity through Optimal Configuration of Networked Microgrids
As climate change increases the risk of large-scale wildfires, wildfire
ignitions from electric power lines are a growing concern. To mitigate the
wildfire ignition risk, many electric utilities de-energize power lines to
prevent electric faults and failures. These preemptive power shutoffs are
effective in reducing ignitions, but they could result in wide-scale power
outages. Advanced technology, such as networked microgrids, can help reduce the
size of the resulting power outages; however, even microgrid technology might
not be sufficient to supply power to everyone, thus forcing hard questions
about how to prioritize the provision of power among customers. In this paper,
we present an optimization problem that configures networked microgrids to
manage wildfire risk while maximizing the power served to customers; however,
rather than simply maximizing the amount of power served in kilowatts, our
formulation also considers the ability of customers to cope with power outages,
as measured by social vulnerability, and it discourages the disconnection of
particularly vulnerable customer groups. To test our model, we leverage a
synthetic but realistic distribution feeder, along with publicly available
social vulnerability indices and satellite-based wildfire risk map data, to
quantify the parameters in our optimal decision-making model. Our case study
results demonstrate the benefits of networked microgrids in limiting load shed
and promoting equity during scenarios with high wildfire risk.Comment: 11 pages, 6 figures. Accepted to ACM e-Energy 202
Chemistry of dense clumps near moving Herbig-Haro objects
Localised regions of enhanced emission from HCO+, NH3 and other species near
Herbig-Haro objects (HHOs) have been interpreted as arising in a photochemistry
stimulated by the HHO radiation on high density quiescent clumps in molecular
clouds. Static models of this process have been successful in accounting for
the variety of molecular species arising ahead of the jet; however recent
observations show that the enhanced molecular emission is widespread along the
jet as well as ahead. Hence, a realistic model must take into account the
movement of the radiation field past the clump. It was previously unclear as to
whether the short interaction time between the clump and the HHO in a moving
source model would allow molecules such as HCO+ to reach high enough levels,
and to survive for long enough to be observed. In this work we model a moving
radiation source that approaches and passes a clump. The chemical picture is
qualitatively unchanged by the addition of the moving source, strengthening the
idea that enhancements are due to evaporation of molecules from dust grains. In
addition, in the case of several molecules, the enhanced emission regions are
longer-lived. Some photochemically-induced species, including methanol, are
expected to maintain high abundances for ~10,000 years.Comment: 7 pages, 3 figure
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