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Nineteenth-century American authors often sought diplomatic political appointments because these were understood to be comfortable positions that provided financial security, cultural enrichment, and leisure time for writing. One popular strategy for obtaining such an appointment was to write a campaign biography for a successful politician. Though overlooked today, the genre of the campaign biography, which dates from the 1820s, was important for American novelists such as William Dean Howells, Harriet Beecher Stowe, Lew Wallace, and Nathaniel Hawthorne. In fact, Hawthorne’s 1852 Life of Franklin Pierce irritated his contemporaries (including Henry David Thoreau and Herman Melville) and later became an important touchstone for literary scholars interested in the intersection of literary arts and national politics. Paying special attention to Hawthorne’s work, this chapter argues that, rather than characterize the campaign biography as an inartistic piece of propaganda written merely to secure a political appointment, we should instead understand it as a node in a wider network of literary and political narrative nonfiction genres – also including histories, travelogues, newspaper journalism, and slave narratives.
Brazilian landowners are obligated to conserve a minimum percentage of native vegetation within their properties (termed a ‘legal reserve’), but non-compliance can be compensated elsewhere through a biodiversity offset. Recent changes in rules for legal reserve compensation (LRC) have increased the allowed spatial scale and softened the ecological criteria required to select properties for compensation, potentially leading to considerable biodiversity losses. In this paper, we analyse whether these rules promote the conservation of tree species on private lands through LRC in the Cerrado biome, the most biodiverse savannah in the world. We modelled the potential distribution of 126 Cerrado tree species and simulated several potential biodiversity offsets to calculate expected species losses under former and current LRC rules. Our results show that biodiversity offsets established under current and former LRC rules can lead to up to 100% tree species losses. In contrast, setting a minimum similarity threshold between watersheds can reduce median tree species loss in biodiversity offsets to as low as 3% and prevents LRC with no common species between sites. Therefore, the current rule is expected to strongly impact biodiversity in the Cerrado. Similarity in species composition between watersheds must be considered in order to implement LRC offsets that effectively conserve Cerrado biodiversity on private lands.
Recent research has shown the potential of speleothem δ13C to record a range of environmental processes. Here, we report on 230Th-dated stalagmite δ13C records for southwest Sulawesi, Indonesia, over the last 40,000 yr to investigate the relationship between tropical vegetation productivity and atmospheric methane concentrations. We demonstrate that the Sulawesi stalagmite δ13C record is driven by changes in vegetation productivity and soil respiration and explore the link between soil respiration and tropical methane emissions using HadCM3 and the Sheffield Dynamic Global Vegetation Model. The model indicates that changes in soil respiration are primarily driven by changes in temperature and CO2, in line with our interpretation of stalagmite δ13C. In turn, modelled methane emissions are driven by soil respiration, providing a mechanism that links methane to stalagmite δ13C. This relationship is particularly strong during the last glaciation, indicating a key role for the tropics in controlling atmospheric methane when emissions from high-latitude boreal wetlands were suppressed. With further investigation, the link between δ13C in stalagmites and tropical methane could provide a low-latitude proxy complementary to polar ice core records to improve our understanding of the glacial–interglacial methane budget.
The IntCal family of radiocarbon (14C) calibration curves is based on research spanning more than three decades. The IntCal group have collated the 14C and calendar age data (mostly derived from primary publications with other types of data and meta-data) and, since 2010, made them available for other sorts of analysis through an open-access database. This has ensured transparency in terms of the data used in the construction of the ratified calibration curves. As the IntCal database expands, work is underway to facilitate best practice for new data submissions, make more of the associated metadata available in a structured form, and help those wishing to process the data with programming languages such as R, Python, and MATLAB. The data and metadata are complex because of the range of different types of archives. A restructured interface, based on the “IntChron” open-access data model, includes tools which allow the data to be plotted and compared without the need for export. The intention is to include complementary information which can be used alongside the main 14C series to provide new insights into the global carbon cycle, as well as facilitating access to the data for other research applications. Overall, this work aims to streamline the generation of new calibration curves.
Understanding the relative longevity of different seed lots, perhaps of different species or genotypes, but also following production under different environments or using different cultivation methods, or following different post-harvest treatments, is relevant to anyone concerned with the retention of seed lot viability and vigour during storage. However, different scientists over the years have used different conditions to assess seed lot longevity, as well as different variables as the measure of ‘longevity.’ Here, we give some of the backgrounds to how two standard protocols, with an open and closed system respectively, were derived, and explain why we consider p50, defined as the time during storage when seed lot viability, as measured through a germination test, has declined to 50%, is a suitable longevity trait parameter.
Differentiating mild cognitive impairment with Lewy bodies (MCI-LB) from mild cognitive impairment due to Alzheimer’s disease (MCI-AD) is challenging due to an overlap of symptoms. Quantitative EEG analyses have shown varying levels of diagnostic accuracy, while visual assessment of EEG may be a promising diagnostic method. Additionally, a multimodal EEG-MRI approach may have greater diagnostic utility than individual modalities alone.
Research Objective:
To evaluate the utility of (1) a structured visual EEG assessment and (2) a machine learning multimodal EEG-MRI approach to differentiate MCI-LB from MCI-AD.
Method:
300 seconds of eyes-closed, resting-state EEG from 37 MCI-LB and 36 MCI-AD patients were analysed. EEGs were visually assessed for the presence of diffuse, focal, and epileptiform abnormalities, overall grade of abnormalities and focal rhythmic delta activity (FIRDA). Random forest classifiers to discriminate MCI-LB from MCI-AD were trained on combinations of visual EEG, quantitative EEG and structural MRI features. Quantitative EEG features (dominant frequency, dominant frequency variability, theta/alpha ratio and measures of spectral power in the delta, theta, prealpha, alpha and beta bands) and structural MRI features (hippocampal and insular volumes) were obtained from previous analyses of our dataset.
Results:
Most patients had abnormal EEGs on visual assessment (MCI-LB = 91.9%, MCI-AD = 77.8%). Overall grade (Χ2 (73, 2) = 4.416, p = 0.110), diffuse abnormalities Χ2(73,1) = 3.790, p = 0.052, focal abnormalities Χ2 (73,1) = 3.113, p = 0.077 and FIRDA Χ2(73,1) = 0.862, p = 0.353 did not differ between groups. All multimodal classifiers had similar diagnostic accuracy (area underthe curve, AUC = 0.681 - 0.686) to a classifier that used quantitative EEG features only (AUC =0.668). The feature ‘beta power’ had the highest predictive power in all classifiers.
Conclusion:
Visual EEG assessment was unable to discriminate between MCI-LB and MCI-AD. However, future work with a more sensitive visual assessment score may yield more promising results.A multimodal EEG-MRI approach does not enhance the diagnostic value of quantitative EEG alone in diagnosing MCI-LB.
Public representations of long-term residential care (LTRC) facilities have received limited focus in Canada, although literature from other countries indicates that public perceptions of LTRC tend to be negative, particularly in contexts that prioritize aging and dying in place. Using Manitoba as the study context, we investigate a question of broad relevance to the Canadian perspective; specifically, what are current public perceptions of the role and function of long-term care in the context of a changing health care system? Through critical discourse analysis, we identify four overarching discourses dominating public perceptions of LTRC: the problem of public aging, LTRC as an imperfect solution to the problem, LTRC as ambiguous social spaces, and LTRC as a last resort option. Building on prior theoretical work, we suggest that public perceptions of LTRC are informed by neoliberal discourses that privilege individual responsibility and problematize public care.
In addition to evoking western lands and democratic politics, the very name of America has also encouraged apocalyptic visions. The “American Dream” has not only been about the prospect of material prosperity; it has also been about the end of the world. Final forecasts constitute one of America’s oldest literary genres, extending from the eschatological theology of the New England Puritans to the revolutionary discourse of the early republic, the emancipatory rhetoric of the Civil War, the anxious fantasies of the atomic age, and the doomsday digital media of today. For those studying the history of America, renditions of the apocalypse are simply unavoidable. This collection brings together two dozen essays by prominent scholars that explore the meanings of apocalypse across different periods, regions, genres, registers, modes, and traditions of American literature and culture. It locates the logic and rhetoric of apocalypse at the very core of American literary history.
The idea of America has always encouraged apocalyptic visions. The 'American Dream' has not only imagined the prospect of material prosperity; it has also imagined the end of the world. 'Final forecasts' constitute one of America's oldest literary genres, extending from the eschatological theology of the New England Puritans to the revolutionary discourse of the early republic, the emancipatory rhetoric of the Civil War, the anxious fantasies of the atomic age, and the doomsday digital media of today. For those studying the history of America, renditions of the apocalypse are simply unavoidable. This book brings together two dozen essays by prominent scholars that explore the meanings of apocalypse across different periods, regions, genres, registers, modes, and traditions of American literature and culture. It locates the logic and rhetoric of apocalypse at the very core of American literary history.
Predispersal seed predation is one of the main causes of seed mortality in plant populations, contributing to decreased plant recruitment. Seed loss has previously been found to be related to crop size. Thus, we examined the influence of individual crop size on predispersal seed predation by beetles in the palm Syagrus flexuosa in the Brazilian savanna. The study was carried out in three tropical woodland savanna sites, where we sampled the total seed crop of 46 fruiting palms and checked the presence of beetle larvae inside all seeds per plant. We observed predispersal seed predation of S. flexuosa from all sites and a high variation in the number of seeds preyed on per individual palm. Crop size had a positive influence on the number of seeds lost to predispersal seed predators. Variations in levels of predispersal seed predation may also be accounted for by the reproductive phenology of S. flexuosa. If fruits are not available at the same time, less resource is available for predators and therefore a high proportion of seeds may be preyed on. Thus, our study demonstrates that an individual plant trait, crop size, is an important predictor of beetle seed damage per palm and a driver of the number of seeds lost to predispersal seed predators.
Symptoms of serious mental illness are multidimensional and often interact in complex ways. Generative models offer value in elucidating the underlying relationships that characterise these networks of symptoms.
Aims
In this paper we use generative models to find unique interactions of schizophrenia symptoms as experienced on a moment-by-moment basis.
Method
Self-reported mood, anxiety and psychosis symptoms, self-reported measurements of sleep quality and social function, cognitive assessment, and smartphone touch screen data from two assessments modelled after the Trail Making A and B tests were collected with a digital phenotyping app for 47 patients in active treatment for schizophrenia over a 90-day period. Patients were retrospectively divided up into various non-exclusive subgroups based on measurements of depression, anxiety, sleep duration, cognition and psychosis symptoms taken in the clinic. Associated transition probabilities for the patient cohort and for the clinical subgroups were calculated using state transitions between adjacent 3-day timesteps of pairwise survey domains.
Results
The three highest probabilities for associated transitions across all patients were anxiety-inducing mood (0.357, P < 0.001), psychosis-inducing mood (0.276, P < 0.001), and anxiety-inducing poor sleep (0.268, P < 0.001). These transition probabilities were compared against a validation set of 17 patients from a pilot study, and no significant differences were found. Unique symptom networks were found for clinical subgroups.
Conclusions
Using a generative model using digital phenotyping data, we show that certain symptoms of schizophrenia may play a role in elevating other schizophrenia symptoms in future timesteps. Symptom networks show that it is feasible to create clinically interpretable models that reflect the unique symptom interactions of psychosis-spectrum illness. These results offer a framework for researchers capturing temporal dynamics, for clinicians seeking to move towards preventative care, and for patients to better understand their lived experience.