3,354 research outputs found
An Open Governor’s Seat, Open Constitutional Question, and the Need for an Answer
Another election cycle always means a renewal of fresh lawsuits and legal questions, and 2022 is no exception. the announcement of Sarah Huckabee Sanders’s run for Governor of Arkansas reignites an interesting aspect of Arkansas’s Constitution: must a candidate for Governor live in the State of Arkansas for seven consecutive years, immediately preceding taking office? A final ruling by the Arkansas Supreme Court will give clarity and stability going forward for the most important elected position in the state
Analyzing mechanisms and microscopic reversibility of self-assembly
We use computer simulations to investigate self-assembly in a system of model
chaperonin proteins, and in an Ising lattice gas. We discuss the mechanisms
responsible for rapid and efficient assembly in these systems, and we use
measurements of dynamical activity and assembly progress to compare their
propensities for kinetic trapping. We use the analytic solution of a simple
minimal model to illustrate the key features associated with such trapping,
paying particular attention to the number of ways that particles can misbind.
We discuss the relevance of our results for the design and control of
self-assembly in general.Comment: 11 pages, 8 figures. Discussion clarified in response to referee
coment
Quantifying reversibility in a phase-separating lattice gas: an analogy with self-assembly
We present dynamic measurements of a lattice gas during phase separation,
which we use as an analogy for self-assembly of equilibrium ordered structures.
We use two approaches to quantify the degree of 'reversibility' of this
process: firstly, we count events in which bonds are made and broken; secondly,
we use correlation-response measurements and fluctuation-dissipation ratios to
probe reversibility during different time intervals. We show how correlation
and response functions can be related directly to microscopic (ir)reversibility
and we discuss time-dependence and observable- dependence of these
measurements, including the role of fast and slow degrees of freedom during
assembly.Comment: 10 pages, 8 figure
Determining when a hospital admission of an older person can be avoided in a subacute setting: a systematic review and concept analysis
Objective To conduct a systematic review of the evidence for when a hospital admission for an older person can be avoided in subacute settings. We examined the definition of admission avoidance and the evidence for the factors that are required to avoid admission to hospital in this setting. Methods Using defined PICOD criteria, we conducted searches in three databases (Medline, Embase and Cinahl) from January 2006 to February 2018. References were screened by title and abstract followed by full paper screening by two reviewers. Additional studies were searched from the grey literature, experts in the field and forward and backward referencing. Data were narratively described, and concept analysis was used to investigate the definition of admission avoidance. Results A total of 17 studies were considered eligible for review; eight provided a definition of admission avoidance and 10 described admission avoidance criteria. We identified three factors which play a key role in admission avoidance in the subacute setting: (1) ambulatory care sensitive conditions and common medical scenarios for the older person, which included respiratory infections or pneumonia, urinary tract infections and catheter care, dehydration and associated symptoms, falls and behavioural management, and managing ongoing chronic conditions; (2) criteria/tools, referring to interventions that have used clinical expertise in conjunction with a range of general and geriatric triage tools; in condition-specific interventions, the decision whether to admit or not was based on level of risk determined by defined clinical tools; and (3) personnel and resources, referring to the need for experts to make the initial decision to avoid an admission. Supervision by nurses or physicians was still needed at subacute level, requiring resources such as short-stay beds, intravenous antibiotic treatment or fluids for rehydration and rapid access to laboratory tests. Conclusion<jats:p/> The review identified a set of criteria for ambulatory care sensitive conditions and common medical scenarios for the older person that can be treated in the subacute setting with appropriate tools and resources. This information can help commissioners and care providers to take on these important elements and deliver them in a locally designed way
The Blob Algebra and the Periodic Temperley-Lieb Algebra
We determine the structure of two variations on the Temperley-Lieb algebra,
both used for dealing with special kinds of boundary conditions in statistical
mechanics models.
The first is a new algebra, the `blob' algebra (the reason for the name will
become obvious shortly!). We determine both the generic and all the exceptional
structures for this two parameter algebra. The second is the periodic
Temperley-Lieb algebra. The generic structure and part of the exceptional
structure of this algebra have already been studied. Here we complete the
analysis, using results from the study of the blob algebra.Comment: 12 page
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Systemic Inflammation Impairs Attention and Cognitive Flexibility but Not Associative Learning in Aged Rats: Possible Implications for Delirium
Delirium is a common and morbid condition in elderly hospitalized patients. Its pathophysiology is poorly understood but inflammation has been implicated based on a clinical association with systemic infection and surgery and preclinical data showing that systemic inflammation adversely affects hippocampus-dependent memory. However, clinical manifestations and imaging studies point to abnormalities not in the hippocampus but in cortical circuits. We therefore tested the hypothesis that systemic inflammation impairs prefrontal cortex function by assessing attention and executive function in aged animals. Aged (24-month-old) Fischer-344 rats received a single intraperitoneal injection of lipopolysaccharide (LPS; 50 μg/kg) or saline and were tested on the attentional set-shifting task (AST), an index of integrity of the prefrontal cortex, on days 1–3 post-injection. Plasma and frontal cortex concentrations of the cytokine TNFα and the chemokine CCL2 were measured by ELISA in separate groups of identically treated, age-matched rats. LPS selectively impaired reversal learning and attentional shifts without affecting discrimination learning in the AST, indicating a deficit in attention and cognitive flexibility but not learning globally. LPS increased plasma TNFα and CCL2 acutely but this resolved within 24–48 h. TNFα in the frontal cortex did not change whereas CCL2 increased nearly threefold 2 h after LPS but normalized by the time behavioral testing started 24 h later. Together, our data indicate that systemic inflammation selectively impairs attention and executive function in aged rodents and that the cognitive deficit is independent of concurrent changes in frontal cortical TNFα and CCL2. Because inattention is a prominent feature of clinical delirium, our data support a role for inflammation in the pathogenesis of this clinical syndrome and suggest this animal model could be useful for studying that relationship further
Mapping neighborhood scale survey responses with uncertainty metrics
This paper presents a methodology of mapping population-centric social, infrastructural, and environmental metrics at neighborhood scale. This methodology extends traditional survey analysis methods to create cartographic products useful in agent-based modeling and geographic information analysis. It utilizes and synthesizes survey microdata, sub-upazila attributes, land use information, and ground truth locations of attributes to create neighborhood scale multi-attribute maps. Monte Carlo methods are employed to combine any number of survey responses to stochastically weight survey cases and to simulate survey cases\u27 locations in a study area. Through such Monte Carlo methods, known errors from each of the input sources can be retained. By keeping individual survey cases as the atomic unit of data representation, this methodology ensures that important covariates are retained and that ecological inference fallacy is eliminated. These techniques are demonstrated with a case study from the Chittagong Division in Bangladesh. The results provide a population-centric understanding of many social, infrastructural, and environmental metrics desired in humanitarian aid and disaster relief planning and operations wherever long term familiarity is lacking. Of critical importance is that the resulting products have easy to use explicit representation of the errors and uncertainties of each of the input sources via the automatically generated summary statistics created at the application\u27s geographic scale
1944: Abilene Christian College Bible Lectures - Full Text
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