Draft Genome Sequences of Strains of Pasteurella multocida Isolated from the United Kingdom and the United States

Pasteurella multocida is a major pathogen of farm animals and has worldwide distribution. Here we report the draft genome sequences of four strains that were isolated from animals in the United Kingdom and the United States and represent pathogenic and commensal presentation of the bacterium

The Influence of Initiative Signature Gathering Campaigns on Political Participation (II)

Does direct democracy increase political participation? Rather than focus on state-level effects of the initiative process, this paper studies the effect of signature gathering campaigns on participation within a state. To this end we test whether parts of the state that are subject to more intense signature gathering campaigns, measured by the number of signatures gathered per capita, experience greater levels of political participation. We examine three measures of participation: registration, turnout, and ballot rolloff. Our key variable is the intensity of the signature gathering campaign across eight specific ballot measure or across measures for four specific elections. Grouped logit analysis demonstrates that the intensity of signature gathering campaigns is strongly related to these measures of political participation. In addition, we also study how signature gathering intensity influences vote choice on associated measures, finding that on average increased signature gathering intensity increases support for a measure

Where the Good Signatures Are: The Number and Validity Rates of Initiative Petition Signatures Gathered in California Counties

One of the biggest hurdles to qualifying an initiative for the ballot is gathering the required number of signatures. Yet little is known about these signatures' representativeness or demographic origin. Using data from eight recent California initiatives, we study the distribution of signatures across counties. We ten conduct regression analysis to study how characteristics of counties relate to the number of signatures gathered there. Besides the sources of petition signatures, we also study the results of checks performed by county officials on these signatures to determine whether there are sufficient valid signatures (i.e., from registered voters) in order to qualify the petition for the ballot. We then conduct regression analysis of validity rates by county. Our findings indicate that a variety of social and political factors influence both the number and validity rate of signatures across counties, though the results are more consistent for the former. Finally, we demonstrate that signature gathering campaigns have consequences for outcomes by relating the intensity of the signature campaign within a county to ballot roll-off

The Influence of Initiative Signature Gathering Campaigns on Political Participation

Does direct democracy increase political participation? Rather than focus on state-level effects of the initiative process, this paper studies the effect of signature gathering campaigns on participation within a state. To this end we test whether parts of the state that are subject to more intense signature gathering campaigns, measured by the number of signatures gathered per capita, experience greater levels of political participation. We examine three measures of participation: registration, turnout, and ballot rolloff. Our key variable is the intensity of the signature gathering campaign across eight specific ballot measure or across measures for four specific elections. Grouped logit analysis demonstrates that the intensity of signature gathering campaigns is strongly related to these measures of political participation. In addition, we also study how signature gathering intensity influences vote choice on associated measures, finding that on average increased signature gathering intensity increases support for a measure

Review of telemedicine use as it expands since the COVID-19 Pandemic

INTRODUCTION: As new technology advances and the world becomes increasingly connected, medical care and physician-patient interactions have changed. Telemedicine, though present in different forms for many decades, has grown, and its use is changing at a faster-than-ever pace. The COVID-19 pandemic highlighted the utility of different telemedicine platforms and has led to an expansion in its capabilities. OBJECTIVES: To explore the evolution of telemedicine, its multiple functions, and how this technology has continued to develop since the COVID-19 pandemic in various medical specialties. METHODS: PubMed was used to assess published studies that either incorporated telehealth resources in their research or evaluated the efficacy of telehealth in different specialties of medicine. Search terms used were “telehealth”, “telemedicine”, and “efficacy”. Additional keywords of “neuropathic pain”, “pulmonology” or “respiratory”, “critical care” or “intensive care”, and “dermatology” were used when exploring specific specialties of pain management, pulmonology, critical care, and dermatology, respectively. Medical specialties assessed were Anesthesiology and Pain Management, Dermatology, Cardiology, Nutrition and Diabetes Management, Pulmonology, Psychiatry, and Critical Care. Studies demonstrating various use of telehealth methods were selected from studies both before 2019 and after 2020 to compare telemedicine capabilities prior to the COVID-19 pandemic to after the COVID-19 crisis. RESULTS: Through this literature analysis, telemedicine has been shown to provide high levels of patient satisfaction, efficacy of treatment, and increased access to medical providers by patients. It was also found that different procedures of telemedicine are more effective in certain specialties than others, requiring the integration of specific technologies depending on the treatment process. Some pre-COVID-19 studies demonstrated that the use of telemedicine was not as effective as in-person care, showing that not all methods of telemedicine are equally effective in all specialties or for all patient-care plans. CONCLUSION: Literature has shown effectiveness in implementation of telemedicine across many specialties in a variety of clinical settings, disease pathologies, and patient-care plans. Although widely established, some studies show unsuccessful use of telehealth technologies. There is a need for further research to find the best tools for each specialty and disease treatment plan so that optimal practices incorporating telemedicine into patient care can be identified. Future studies should also investigate practices to ensure equitable access to telemedicine amongst all patient populations

Analysis of Ligand Bias in Functional Studies Involving the Allosteric Modulation of G Protein- Coupled Receptors

Introduction The affinity constants of a ligand for active and inactive states of a receptor ultimately determine its capacity to activate downstream signaling events. In this report, we describe a reverse-engineering strategy for estimating these microscopic constants. Methods Our approach involves analyzing responses measured downstream in the signaling pathway of a G protein-coupled receptor under conditions of allosteric modulation and reduced receptor expression or partial receptor inactivation. The analysis also yields estimates of the isomerization constant of the unoccupied receptor, the sensitivity constant of the signaling pathway, and the more empirical parameters of the receptor population including the observed affinities and efficacies of allosteric and orthosteric ligands – including inverse agonists – and the efficacy of the unoccupied receptor (i.e., constitutive activity). Results and discussion We validate our approach with an analytical proof and by analysis of simulated data. We also use our method to analyze data from the literature. We show that the values of the microscopic constants of orthosteric and allosteric ligands are constant regardless of the allosteric interaction and the nature of the receptor-signaling pathway as long as the same active state mediates the response. Our analysis is useful for quantifying probe-dependent allosteric interactions and the selectivity of agonists for different signaling pathways. Knowing the isomerization constant and sensitivity constant of a signaling pathway in a given cell line or tissue preparation enables future investigators to estimate the affinity constants of agonists for receptor states simply through analysis of their concentration–response curves. Our approach also provides a means of validating in silico estimates of ligand affinity for crystal structures of active and inactive states of the receptor

Modelling and measuring single cell RNA expression levels find considerable transcriptional differences among phenotypically identical cells.

BACKGROUND: Phenotypically identical cells demonstrate predictable, robust behaviours. However, there is uncertainty as to whether phenotypically identical cells are equally similar at the underlying transcriptional level or if cellular systems are inherently noisy. To answer this question, it is essential to distinguish between technical noise and true variation in transcript levels. A critical issue is the contribution of sampling effects, introduced by the requirement to globally amplify the single cell mRNA population, to observed measurements of relative transcript abundance. RESULTS: We used single cell microarray data to develop simple mathematical models, ran Monte Carlo simulations of the impact of technical and sampling effects on single cell expression data, and compared these with experimental microarray data generated from single embryonic neural stem cells in vivo. We show that the actual distribution of measured gene expression ratios for pairs of neural stem cells is much broader than that predicted from our sampling effect model. CONCLUSION: Our results confirm that significant differences in gene expression levels exist between phenotypically identical cells in vivo, and that these differences exceed any noise contribution from global mRNA amplification.RIGHTS : This article is licensed under the BioMed Central licence at http://www.biomedcentral.com/about/license which is similar to the 'Creative Commons Attribution Licence'. In brief you may : copy, distribute, and display the work; make derivative works; or make commercial use of the work - under the following conditions: the original author must be given credit; for any reuse or distribution, it must be made clear to others what the license terms of this work are

The Brown Dwarf Kinematics Project (BDKP). III. Parallaxes for 70 Ultracool Dwarfs

We report parallax measurements for 70 ultracool dwarfs (UCDs). Using both literature values and our sample, we report new polynomial relations between spectral type and M$_{JHK}$. Including resolved L/T transition binaries in the relations, we find no reason to differentiate between a "bright" (unresolved binary) and "faint" (single source) sample across the L/T boundary. Isolating early T dwarfs, we find that the brightening of T0-T4 sources is prominent in M$_{J}$ where there is a [1.2 - 1.4] magnitude difference. A similar yet dampened brightening of [0.3 - 0.5] magnitude happens at M$_{H}$ and a plateau or dimming of [-0.2 - -0.3] magnitude is seen in M$_{K}$. Comparing with evolutionary models that vary gravity, metallicity, and cloud thickness we find that a near constant temperature of 1200 $\pm$100 K along a narrow spectral subtype of T0-T4 is required to account for the brightening and color magnitude diagram of the L-dwarf/T-dwarf transition. Furthermore, there is a significant population of both L and T dwarfs which are red or potentially "ultra-cloudy" compared to the models, many of which are known to be young indicating a correlation between enhanced photospheric dust and youth. For the low surface-gravity or young companion L dwarfs we find that 8 out of 10 are at least [0.2-1.0] magnitude underluminous in M$_{JH}$ and/or M$_{K}$ compared to equivalent spectral type objects. We speculate that this is a consequence of increased dust opacity and conclude that low-surface gravity L dwarfs require a completely new spectral-type/absolute magnitude polynomial for analysis.Comment: 65 pages, Accepted for publication to Ap

Amylase binding to starch granules under hydrolysing and non-hydrolysing conditions

Although considerable information is available about amylolysis rate, extent and pattern of granular starches, the underlying mechanisms of enzyme action and interactions are not fully understood, partly due to the lack of direct visualisation of enzyme binding and subsequent hydrolysis of starch granules. In the present study, α-amylase (AA) from porcine pancreas was labelled with either fluorescein isothiocyanate (FITC) or tetramethylrhodamine isothiocyanate (TRITC) fluorescent dye with maintenance of significant enzyme activity. The binding of FITC/TRITC-AA conjugate to the surface and interior of granules was studied under both non-hydrolysing (0 °C) and hydrolysing (37 °C) conditions with confocal microscopy. It was observed that enzyme binding to maize starch granules under both conditions was more homogenous compared with potato starch. Enzyme molecules appear to preferentially bind to the granules or part of granules that are more susceptible to enzymic degradation. The specificity is such that fresh enzyme added after a certain time of incubation binds at the same location as previously bound enzyme. By visualising the enzyme location during binding and hydrolysis, detailed information is provided regarding the heterogeneity of granular starch digestion