Partial Computation in Real-Time Database Systems

A critical component of real-time systems in the database, which is used to store external input such as environmental readings from sensors, as well as system information. Typically these databases are large, due to vast quantities of historical data, and are distributed, due to the distributed topology of the devices controlling the application. Hence, sophisticated database management systems are needed. However, most of the time database systems are hand-coded. Off-the-shelf database management systems are not used due in part to a lack of predictability of response [1, 2]. We motivate the use of partial computation of database queries as a method of improving the fault-tolerance and predictability of response in real-time database systems

Additions to Philippine Slender Skinks of the <i>Brachymeles bonitae </i>Complex (Reptilia: Squamata: Scincidae) III:a new species from Tablas Island

Davis, Drew R., Geheber, Aaron D., Watters, Jessa L., Penrod, Michelle L., Feller, Kathryn D., Ashford, Alissa, Kouri, Josh, Nguyen, Daniel, Shauberger, Kathryn, Sheatsley, Kyra, Winfrey, Claire, Wong, Rachel, Sanguila, Marites B., Brown, Rafe M., Siler, Cameron D. (2016): Additions to Philippine Slender Skinks of the Brachymeles bonitae Complex (Reptilia: Squamata: Scincidae) III: a new species from Tablas Island. Zootaxa 4132 (1), DOI: http://doi.org/10.11646/zootaxa.4132.1.

Additions to Philippine Slender Skinks of the <i>Brachymeles bonitae </i>Complex (Reptilia: Squamata: Scincidae) I:a new species from Lubang Island

Geheber, Aaron D., Davis, Drew R., Watters, Jessa L., Penrod, Michelle L., Feller, Kathryn D., Davey, Conner S., Ellsworth, Elyse D., Flanagan, Rachel L., Heitz, Brendan B., Moore, Tana, Nguyen, Marie D. C., Roberts, Austyn, Sutton, John, Sanguila, Marites B., Linkem, Charles W., Brown, Rafe M., Siler, Cameron D. (2016): Additions to Philippine Slender Skinks of the Brachymeles bonitae Complex (Reptilia: Squamata: Scincidae) I: a new species from Lubang Island. Zootaxa 4132 (1): 1-14, DOI: http://doi.org/10.11646/zootaxa.4132.1.

Competitive Boosterism: How Milwaukee Lost the Braves

By any measure, major-league baseball in North America surely qualifies as big business. The national pastime is a vital component of today\u27s urban political economy, and baseball teams resemble other high-prestige businesses in that cities must compete for the privilege of hosting them - whatever their true worth. A study analyzes the transfer of the Milwaukee Braves baseball franchise to Atlanta in 1965 as the outcome of competitive boosterism or the active participation of local elites in luring trade, industry, and investment from other cities for the purpose of economic development

Gamma-ray and radio properties of six pulsars detected by the fermi large area telescope

We report the detection of pulsed γ-rays for PSRs J0631+1036, J0659+1414, J0742-2822, J1420-6048, J1509-5850, and J1718-3825 using the Large Area Telescope on board the Fermi Gamma-ray Space Telescope (formerly known as GLAST). Although these six pulsars are diverse in terms of their spin parameters, they share an important feature: their γ-ray light curves are (at least given the current count statistics) single peaked. For two pulsars, there are hints for a double-peaked structure in the light curves. The shapes of the observed light curves of this group of pulsars are discussed in the light of models for which the emission originates from high up in the magnetosphere. The observed phases of the γ-ray light curves are, in general, consistent with those predicted by high-altitude models, although we speculate that the γ-ray emission of PSR J0659+1414, possibly featuring the softest spectrum of all Fermi pulsars coupled with a very low efficiency, arises from relatively low down in the magnetosphere. High-quality radio polarization data are available showing that all but one have a high degree of linear polarization. This allows us to place some constraints on the viewing geometry and aids the comparison of the γ-ray light curves with high-energy beam models

The evolving SARS-CoV-2 epidemic in Africa: Insights from rapidly expanding genomic surveillance

INTRODUCTION Investment in Africa over the past year with regard to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) sequencing has led to a massive increase in the number of sequences, which, to date, exceeds 100,000 sequences generated to track the pandemic on the continent. These sequences have profoundly affected how public health officials in Africa have navigated the COVID-19 pandemic. RATIONALE We demonstrate how the first 100,000 SARS-CoV-2 sequences from Africa have helped monitor the epidemic on the continent, how genomic surveillance expanded over the course of the pandemic, and how we adapted our sequencing methods to deal with an evolving virus. Finally, we also examine how viral lineages have spread across the continent in a phylogeographic framework to gain insights into the underlying temporal and spatial transmission dynamics for several variants of concern (VOCs). RESULTS Our results indicate that the number of countries in Africa that can sequence the virus within their own borders is growing and that this is coupled with a shorter turnaround time from the time of sampling to sequence submission. Ongoing evolution necessitated the continual updating of primer sets, and, as a result, eight primer sets were designed in tandem with viral evolution and used to ensure effective sequencing of the virus. The pandemic unfolded through multiple waves of infection that were each driven by distinct genetic lineages, with B.1-like ancestral strains associated with the first pandemic wave of infections in 2020. Successive waves on the continent were fueled by different VOCs, with Alpha and Beta cocirculating in distinct spatial patterns during the second wave and Delta and Omicron affecting the whole continent during the third and fourth waves, respectively. Phylogeographic reconstruction points toward distinct differences in viral importation and exportation patterns associated with the Alpha, Beta, Delta, and Omicron variants and subvariants, when considering both Africa versus the rest of the world and viral dissemination within the continent. Our epidemiological and phylogenetic inferences therefore underscore the heterogeneous nature of the pandemic on the continent and highlight key insights and challenges, for instance, recognizing the limitations of low testing proportions. We also highlight the early warning capacity that genomic surveillance in Africa has had for the rest of the world with the detection of new lineages and variants, the most recent being the characterization of various Omicron subvariants. CONCLUSION Sustained investment for diagnostics and genomic surveillance in Africa is needed as the virus continues to evolve. This is important not only to help combat SARS-CoV-2 on the continent but also because it can be used as a platform to help address the many emerging and reemerging infectious disease threats in Africa. In particular, capacity building for local sequencing within countries or within the continent should be prioritized because this is generally associated with shorter turnaround times, providing the most benefit to local public health authorities tasked with pandemic response and mitigation and allowing for the fastest reaction to localized outbreaks. These investments are crucial for pandemic preparedness and response and will serve the health of the continent well into the 21st century

Effect of angiotensin-converting enzyme inhibitor and angiotensin receptor blocker initiation on organ support-free days in patients hospitalized with COVID-19

IMPORTANCE Overactivation of the renin-angiotensin system (RAS) may contribute to poor clinical outcomes in patients with COVID-19. Objective To determine whether angiotensin-converting enzyme (ACE) inhibitor or angiotensin receptor blocker (ARB) initiation improves outcomes in patients hospitalized for COVID-19. DESIGN, SETTING, AND PARTICIPANTS In an ongoing, adaptive platform randomized clinical trial, 721 critically ill and 58 non–critically ill hospitalized adults were randomized to receive an RAS inhibitor or control between March 16, 2021, and February 25, 2022, at 69 sites in 7 countries (final follow-up on June 1, 2022). INTERVENTIONS Patients were randomized to receive open-label initiation of an ACE inhibitor (n = 257), ARB (n = 248), ARB in combination with DMX-200 (a chemokine receptor-2 inhibitor; n = 10), or no RAS inhibitor (control; n = 264) for up to 10 days. MAIN OUTCOMES AND MEASURES The primary outcome was organ support–free days, a composite of hospital survival and days alive without cardiovascular or respiratory organ support through 21 days. The primary analysis was a bayesian cumulative logistic model. Odds ratios (ORs) greater than 1 represent improved outcomes. RESULTS On February 25, 2022, enrollment was discontinued due to safety concerns. Among 679 critically ill patients with available primary outcome data, the median age was 56 years and 239 participants (35.2%) were women. Median (IQR) organ support–free days among critically ill patients was 10 (–1 to 16) in the ACE inhibitor group (n = 231), 8 (–1 to 17) in the ARB group (n = 217), and 12 (0 to 17) in the control group (n = 231) (median adjusted odds ratios of 0.77 [95% bayesian credible interval, 0.58-1.06] for improvement for ACE inhibitor and 0.76 [95% credible interval, 0.56-1.05] for ARB compared with control). The posterior probabilities that ACE inhibitors and ARBs worsened organ support–free days compared with control were 94.9% and 95.4%, respectively. Hospital survival occurred in 166 of 231 critically ill participants (71.9%) in the ACE inhibitor group, 152 of 217 (70.0%) in the ARB group, and 182 of 231 (78.8%) in the control group (posterior probabilities that ACE inhibitor and ARB worsened hospital survival compared with control were 95.3% and 98.1%, respectively). CONCLUSIONS AND RELEVANCE In this trial, among critically ill adults with COVID-19, initiation of an ACE inhibitor or ARB did not improve, and likely worsened, clinical outcomes. TRIAL REGISTRATION ClinicalTrials.gov Identifier: NCT0273570

Extending datalog for federated databases

In this thesis I propose a model for querying federated databases within the datalog tradition. The proposed system encodes the information in the local databases of the federation using a first order rule syntax {\cal L}\sb\*. I assign a logical semantics to {\cal L}\sb\* via a specialized model theory which incorporates assumptions appropriate to the database context, such as the unique name assumption, but does not include assumptions inappropriate to the federated database context, such as an open or closed world assumption. The questions of interdatabase consistency and the correctness of an answer to a query are then identified with a logical inference problem defined over {\cal L}\sb\*. The range of answers generated by the system include the possibilities of open and closed world answers but also include a wide range of partial information alternatives in between these two extremes. The solution to the inference problem generalizes the relational algebra and datalog under the program completion semantics and is tractable in a technical sense. The language of rules provides a basis for a deductive federated query language F scED