Life Cycle Assessment of Stone Paper, Polypropylene Film, and Coated Paper for Use as Product Labels

Environmental concerns are growing in today’s societies, and governments, companies, and other organizations are looking to decrease the impacts on the environment from their products and the products they source. In order to do this, they need to know how a product is impacting the environment, and a life cycle assessment can help to understand the impacts of products and identify areas for potential environmental improvement. This life cycle assessment analyzed the life cycle of three materials: coated paper, PP film, and Stone Paper, in the function of a product label. The aim was to perform comparative analysis of the materials by evaluating performance on multiple impact categories. From this analysis, information can be provided to decision makers and preliminary recommendations can be made to improve the life cycle of Stone Paper. The results found that no material clearly dominated the other materials across all impact categories, but some general trends were identified. PP Film performed relatively poorly in fossil fuel related impact categories, whereas coated paper performed relatively poorly in land use and water depletion categories. Stone Paper fared relatively poorly in two human and environmental health impact categories. Strong general conclusions about the other impact categories cannot be made. Sensitivity analysis for transportation and end of life scenarios were carried out, and found a preference for short transportation distances for Stone Paper, landfilling for coated paper, and incineration for PP film were found.Master of ScienceNatural Resources and EnvironmentUniversity of Michiganhttp://deepblue.lib.umich.edu/bitstream/2027.42/117675/1/Life Cycle Assessment of Stone Paper- DO_NOT_UPLOAD_YET.pd

Isotropic plasma-thermal atomic layer etching of superconducting TiN films using sequential exposures of molecular oxygen and SF6/_6/H2_2 plasma

Microwave loss in superconducting titanium nitride (TiN) films is attributed to two-level systems in various interfaces arising in part from oxidation and microfabrication-induced damage. Atomic layer etching (ALE) is an emerging subtractive fabrication method which is capable of etching with Angstrom-scale etch depth control and potentially less damage. However, while ALE processes for TiN have been reported, they either employ HF vapor, incurring practical complications; or the etch rate lacks the desired control. Further, the superconducting characteristics of the etched films have not been characterized. Here, we report an isotropic plasma-thermal TiN ALE process consisting of sequential exposures to molecular oxygen and an SF$_6$/H$_2$ plasma. For certain ratios of SF$_6$:H$_2$ flow rates, we observe selective etching of TiO$_2$ over TiN, enabling self-limiting etching within a cycle. Etch rates were measured to vary from 1.1 \r{A}/cycle at 150 $^\circ$C to 3.2 \r{A}/cycle at 350 $^\circ$C using ex-situ ellipsometry. We demonstrate that the superconducting critical temperature of the etched film does not decrease beyond that expected from the decrease in film thickness, highlighting the low-damage nature of the process. These findings have relevance for applications of TiN in microwave kinetic inductance detectors and superconducting qubits.Comment: 17 pages, 7 figure

Characterization of SARS-CoV-2 nucleocapsid protein reveals multiple functional consequences of the C-terminal domain

Nucleocapsid (N) encoded by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) plays key roles in the replication cycle and is a critical serological marker. Here, we characterize essential biochemical properties of N and describe the utility of these insights in serological studies. We define N domains important for oligomerization and RNA binding and show that N oligomerization provides a high-affinity RNA-binding platform. We also map the RNA-binding interface, showing protection in the N-terminal domain and linker region. In addition, phosphorylation causes reduction of RNA binding and redistribution of N from liquid droplets to loose coils, showing how N-RNA accessibility and assembly may be regulated by phosphorylation. Finally, we find that the C-terminal domain of N is the most immunogenic, based on antibody binding to patient samples. Together, we provide a biochemical description of SARS-CoV-2 N and highlight the value of using N domains as highly specific and sensitive diagnostic markers

Diet in the driving seat: natural diet-immunity-microbiome interactions in wild fish

Natural interactions between the diet, microbiome and immunity are largely unstudied. Here we employ wild three-spined sticklebacks as a model, combining field observations with complementary experimental manipulations of diet designed to mimic seasonal variation in the wild. We clearly demonstrate that season-specific diets are a powerful causal driver of major systemic immunophenotypic variation. This effect occurred largely independently of the bulk composition of the bacterial microbiome (which was also driven by season and diet) and of host condition, demonstrating neither of these, per se, constrain immune allocation in healthy individuals. Nonetheless, through observations in multiple anatomical compartments, differentially exposed to the direct effects of food and immunity, we found evidence of immune-driven control of bacterial community composition in mucus layers. This points to the interactive nature of the host-microbiome relationship, and is the first time, to our knowledge, that this causal chain (diet → immunity → microbiome) has been demonstrated in wild vertebrates. Microbiome effects on immunity were not excluded and, importantly, we identified outgrowth of potentially pathogenic bacteria (especially mycolic-acid producing corynebacteria) as a consequence of the more animal-protein-rich summertime diet. This may provide part of the ultimate explanation (and possibly a proximal cue) for the dramatic immune re-adjustments that we saw in response to diet change

Suitability of Laurentian Great Lakes for invasive species based on global species distribution models and local habitat

Efficient management and prevention of species invasions requires accurate prediction of where species of concern can arrive and persist. Species distribution models provide one way to identify potentially suitable habitat by developing the relationship between climate variables and species occurrence data. However, these models when applied to freshwater invasions are complicated by two factors. The first is that the range expansions that typically occur as part of the invasion process violate standard species distribution model assumptions of data stationarity. Second, predicting potential range of freshwater aquatic species is complicated by the reliance on terrestrial climate measurements to develop occurrence relationships for species that occur in aquatic environments. To overcome these obstacles, we combined a recently developed algorithm for species distribution modeling—range bagging—with newly available aquatic habitat‐specific information from the North American Great Lakes region to predict suitable habitat for three potential invasive species: golden mussel, killer shrimp, and northern snakehead. Range bagging may more accurately predict relative suitability than other methods because it focuses on the limits of the species environmental tolerances rather than central tendency or “typical” cases. Overlaying the species distribution model output with aquatic habitat‐specific data then allowed for more specific predictions of areas with high suitability. Our results indicate there is suitable habitat for northern snakehead in the Great Lakes, particularly shallow coastal habitats in the lower four Great Lakes where literature suggests they will favor areas of wetland and submerged aquatic vegetation. These coastal areas also offer the highest suitability for golden mussel, but our models suggest they are marginal habitats. Globally, the Great Lakes provide the closest match to the currently invaded range of killer shrimp, but they appear to pose an intermediate risk to the region. Range bagging provided reliable predictions when assessed either by a standard test set or by tests for spatial transferability, with golden mussel being the most difficult to accurately predict. Our approach illustrates the strength of combining multiple sources of data, while reiterating the need for increased measurement of freshwater habitat at high spatial resolutions to improve the ability to predict potential invasive species.Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/137744/1/ecs21883-sup-0001-AppendixS1.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/137744/2/ecs21883.pdfhttps://deepblue.lib.umich.edu/bitstream/2027.42/137744/3/ecs21883_am.pd

Protective effect of antirheumatic drugs on dementia in rheumatoid arthritis patients

INTRODUCTION Rheumatoid Arthritis is a systemic inflammatory disease and classical disease-modifying anti-rheumatic drugs (cDMARDs) have proven efficacy. It is unknown what impact cDMARDs might have on dementia as an outcome. METHODS Incident diagnoses of Rheumatoid Arthritis in persons over 18 years from 1995 to 2011 were identified from the UK Clinical Practice Research Datalink. 3,876 cDMARD users were propensity score matched to 1,938 non-users, on a wide range of confounders. Impact on dementia was assessed using survival models. RESULTS cDMARD users were at reduced risk of dementia (hazard ratio: 0.60; 95% confidence intervals: 0.42-0.85). The effect was strongest in Methotrexate users (0.52; 0.34-0.82). DISCUSSION The strong effect of cDMARD use on a halving of dementia risk requires replication in a trial and may provide an important therapeutic pharmacological treatment. </p

Effects of extreme natural events on the provision of ecosystem services in a mountain environment : The importance of trail design in delivering system resilience and ecosystem service co-benefits

A continued supply of ecosystem services (ES) from a system depends on the resilience of that system to withstand shocks and perturbations. In many parts of the world, climate change is leading to an increased frequency of extreme weather events, potentially influencing ES provision. Our study of the effects of an intense rainfall event in Gorce National Park, Poland, shows: (1) the intense rainfall event impacted heavily on the supply of ES by limiting potential recreation opportunities and reducing erosion prevention; (2) these negative impacts were not only restricted to the period of the extreme event but persisted for up to several years, depending on the pre-event trail conditions and post-event management activities; (3) to restore the pre-event supply of ES, economic investments were required in the form of active repairs to trails, which, in Gorce National Park, were an order of magnitude higher than the costs of normal trail maintenance; and (4) when recreational trails were left to natural restoration, loss of biodiversity was observed, and recovery rates of ES (recreation opportunities and soil erosion prevention) were reduced in comparison to their pre-event state. We conclude that proper trail design and construction provides a good solution to avoid some of the negative impacts of extreme events on recreation, as well as offering co-benefits in terms of protecting biodiversity and enhancing the supply of regulating services such as erosion prevention