Can Social Media Help Us Understand The Impact of Climate Change on Forests in The US?

While social media data are increasingly being used in the study of pressing environmental problems, their ability to monitor environmental changes has scarcely been assessed. Understanding this viability is highly important as climate change increasingly impacts public health, and behavior. We examine social media photographs associated with wildfires in Yellowstone National Park to assess if images and content can adequately capture environmental change associated with large-scale landscape impacts - wildfires - using computer vision, natural language processing and spatiotemporal analysis. We find that social media posts associated with wildfire events rarely capture the fires themselves, while landscape impacts including burnt trees and early succession are more frequently the topic of photography. Furthermore, we find that computer vision has challenges with capturing these phenomena. While capturing wildfires proved difficult, developing multimodal analysis including natural language processing, spatial, trend and computer vision analysis at scale may open opportunities for more general understanding of social media’s efficacy for monitoring environmental change

Investigating the impacts of microgravity on methanotrophic bacteria metabolism for methane gas oxidation

An abundance of waste methane gas is produced on the International Space Station (ISS) as a result of the Sabatier Reaction, a part of the Environmental Control and Life Support System (ECLSS). In order to manage this organic waste, this experiment seeks to understand how microgravity impacts the methane-oxidizing metabolism of methanotrophic bacteria, namely Methylorubrum podarium. As methanotrophs have never been studied in space, this investigation may unlock a novel understanding of their behavior in microgravity, leading to promising future applications such as improved life support systems in deep space. In this experiment, cameras will capture snapshots of the bacterial cultures, and a software will compute the growth rate as an indirect indicator of their metabolic rate. Uncovering M. podarium function in microgravity will be a key step toward understanding future applications of methanotrophic bacteria in space.https://digitalcommons.imsa.edu/sci_dsw/1003/thumbnail.jp

High Spatial Resolution for Crop Yield Prediction in Large Farming Systems: A Necessity or Additional Overhead

The availability of open-access satellite data and advancements in machine learning techniques has exhibited significant potential in crop yield prediction. In the context of large farming systems and county-level predictions, it is customary to rely on coarse-resolution satellite images. However, these images often lack the sufficient textural detail to accurately summarise spatial information. This research aims to evaluate the advantages of enhanced spatial resolution by conducting a comparative analysis between coarse-resolution, high-temporal-frequency MODIS data and relatively high-resolution, low-temporal-frequency Landsat data for predicting corn yield in the USA. We benchmark this comparison against several models in a spatial versus non-spatial input data context. Our results suggest that, the use of high-spatial resolution for county-level yield prediction in large farming systems is not beneficial and the models explored are unable to generalize well to drought-struck years

The Protostellar Luminosity Function

The protostellar luminosity function (PLF) is the present-day luminosity function of the protostars in a region of star formation. It is determined using the protostellar mass function (PMF) in combination with a stellar evolutionary model that provides the luminosity as a function of instantaneous and final stellar mass. As in McKee & Offner (2010), we consider three main accretion models: the Isothermal Sphere model, the Turbulent Core model, and an approximation of the Competitive Accretion model. We also consider the effect of an accretion rate that tapers off linearly in time and an accelerating star formation rate. For each model, we characterize the luminosity distribution using the mean, median, maximum, ratio of the median to the mean, standard deviation of the logarithm of the luminosity, and the fraction of very low luminosity objects. We compare the models with bolometric luminosities observed in local star forming regions and find that models with an approximately constant accretion time, such as the Turbulent Core and Competitive Accretion models, appear to agree better with observation than those with a constant accretion rate, such as the Isothermal Sphere model. We show that observations of the mean protostellar luminosity in these nearby regions of low-mass star formation suggest a mean star formation time of 0.3$\pm$0.1 Myr. Such a timescale, together with some accretion that occurs non-radiatively and some that occurs in high-accretion, episodic bursts, resolves the classical "luminosity problem" in low-mass star formation, in which observed protostellar luminosities are significantly less than predicted. An accelerating star formation rate is one possible way of reconciling the observed star formation time and mean luminosity.Comment: 22 pages, 9 figures, accepted to Ap

TRAIL Delivered by Mesenchymal Stromal/Stem Cells Counteracts Tumor Development in Orthotopic Ewing Sarcoma Models.

Ewing sarcoma (EWS) is the second most frequent pediatric malignant bone tumor. EWS patients have not seen any major therapeutic progress in the last thirty years, in particular in the case of metastatic disease, which requires new therapeutic strategies. The pro-apoptotic cytokine TNF-Related Apoptosis Inducing Ligand (TRAIL) can selectively kill tumor cells while sparing normal cells, making it a promising therapeutic tool in several types of cancer. However, certain EWS cell lines appear resistant to recombinant human (rh) TRAIL-induced apoptosis. We therefore hypothesized that a TRAIL presentation at the surface of the carrier cells might overcome this resistance and trigger apoptosis. For this purpose, human adipose mesenchymal stromal/stem cells (MSC) transfected in a stable manner to express full-length human TRAIL were co-cultured with several human EWS cell lines, inducing apoptosis by cell-to-cell contact even in cell lines initially resistant to rhTRAIL or AMG655, an antibody agonist to the death receptor, DR5. In vivo, TRAIL delivered by MSCs was able to counteract tumor progression in two orthotopic models of Ewing sarcoma, associated with caspase activation, indicating that a cell-based delivery of a potent apoptosis-inducing factor could be relevant in EWS. This article is protected by copyright. All rights reserved

Targeting nuclear transporters in cancer: Diagnostic, prognostic and therapeutic potential

The Karyopherin superfamily is a major class of soluble transport receptors consisting of both import and export proteins. The trafficking of proteins involved in transcription, cell signalling and cell cycle regulation among other functions across the nuclear membrane is essential for normal cellular functioning. However, in cancer cells, the altered expression or localization of nuclear transporters as well as the disruption of endogenous nuclear transport inhibitors are some ways in which the Karyopherin proteins are dysregulated. The value of nuclear transporters in the diagnosis, prognosis and treatment of cancer is currently being elucidated with recent studies highlighting their potential as biomarkers and therapeutic targets

Efficacy and safety of omalizumab in nasal polyposis : 2 randomized phase 3 trials

Background: Chronic rhinosinusitis with nasal polyps (CRSwNP) is characterized by IgE hyperproduction and eosinophilic inflammation. The anti-IgE antibody, omalizumab, has demonstrated efficacy in patients with CRSwNP and comorbid asthma previously. Objective: Our aim was to determine omalizumab safety and efficacy in CRSwNP in phase 3 trials (POLYP 1 and POLYP 2). Methods: Adults with CRSwNP with inadequate response to intranasal corticosteroids were randomized (1:1) to omalizumab or placebo and intranasal mometasone for 24 weeks. Coprimary end points included change from baseline to week 24 in Nasal Polyp Score (NPS) and Nasal Congestion Score. Secondary end points included change from baseline to week 24 in Sino-Nasal Outcome Test-22 (SNOT-22) score, University of Pennsylvania Smell Identification Test, sense of smell, postnasal drip, runny nose, and adverse events. Results: Patients in POLYP 1 (n = 138) and POLYP 2 (n = 127) exhibited severe CRSwNP and substantial quality of life impairment evidenced by a mean NPS higher than 6 and SNOT-22 score of approximately 60. Both studies met both the coprimary end points. SNOT-22 score, University of Pennsylvania Smell Identification Test score, sense of smell, postnasal drip, and runny nose were also significantly improved for omalizumab versus placebo. In POLYP 1 and POLYP 2, the mean changes from baseline at week 24 for omalizumab versus placebo were as follows: NPS, -1.08 versus 0.06 (P < .0001) and - 0.90 versus -0.31 (P = .0140); Nasal Congestion Score, -0.89 versus -0.35 (P = .0004) and -0.70 versus -0.20 (P = .0017); and SNOT-22 score, -24.7 versus -8.6 (P < .0001) and -21.6 versus - 6.6 (P < .0001). Adverse events were similar between groups. Conclusion: Omalizumab significantly improved endoscopic, clinical, and patient-reported outcomes in severe CRSwNP with inadequate response to intranasal corticosteroids, and it was well tolerated

Lifetime Pesticide Use and Telomere Shortening among Male Pesticide Applicators in the Agricultural Health Study

Background: Telomere length (TL) in surrogate tissues may be influenced by environmental exposures. Objective: We aimed to determine whether lifetime pesticides use is associated with buccal cell TL. Methods: We examined buccal cell TL in relation to lifetime use of 48 pesticides for 1,234 cancer-free white male pesticide applicators in the Agricultural Health Study (AHS), a prospective cohort study of 57,310 licensed pesticide applicators. Participants provided detailed information on lifetime use of 50 pesticides at enrollment (1993–1997). Buccal cells were collected from 1999 to 2006. Relative telomere length (RTL) was measured using quantitative real-time polymerase chain reaction. We used linear regression modeling to evaluate the associations between specific pesticides and the logarithm of RTL, adjusting for age at buccal cell collection, state of residence, applicator license type, chewing tobacco use, and total lifetime days of all pesticide use. Results: The mean RTL for participants decreased significantly in association with increased lifetime days of pesticide use for alachlor (p = 0.002), 2,4-dichlorophenoxyacetic acid (2,4-D; p = 0.004), metolachlor (p = 0.01), trifluralin (p = 0.05), permethrin (for animal application) (p = 0.02), and toxaphene (p = 0.04). A similar pattern of RTL shortening was observed with the metric lifetime intensity-weighted days of pesticide use. For dichlorodiphenyltrichloroethane (DDT), we observed significant RTL shortening for lifetime intensity-weighted days (p = 0.04), but not for lifetime days of DDT use (p = 0.08). No significant RTL lengthening was observed for any pesticide. Conclusion: Seven pesticides previously associated with cancer risk in the epidemiologic literature were inversely associated with RTL in buccal cell DNA among cancer-free pesticide applicators. Replication of these findings is needed because we cannot rule out chance or fully rule out bias