Synchronization transition in dipole-coupled two-level systems with positional disorder

We study the decoherence dynamics of dipole-coupled two-level quantum systems in Ramsey-type experiments. We focus on large networks of two-level systems, confined to two spatial dimensions and with positional disorder giving rise to disordered dipolar couplings. This setting is relevant for modeling the decoherence dynamics of the rotational excitations of polar molecules confined to deep optical lattices, where disorder arises from the random filling of lattice sites with occupation probability p. We show that the decoherence dynamics exhibits a phase transition at a critical filling pc≃0.15. For ppc the dipolar interactions dominate the disorder, and the system behaves as a collective spin-ordered phase, representing synchronization of the two-level systems and persistent Ramsey oscillations with divergent T2 for large systems. For a finite number of two-level systems N, the spin-ordered phase at p>pc undergoes a crossover to a collective spin-squeezed state on a time scale τsq∝√N. We develop a self-consistent mean-field theory that is capable of capturing the synchronization transition at pc, and provide an intuitive theoretical picture that describes the phase transition in the long-time dynamics. We also show that the decoherence dynamics appear to be ergodic in the vicinity of pc, the long-time behavior being well described by the predictions of equilibrium thermodynamics. The results are supported by the results of exact diagonalization studies of small systems.We are grateful for helpful discussions with Andreas Nun- nenkamp and Ana Maria Rey, and for financial support from EPSRC Grants No. EP/K030094/1 and No. EP/P009565/1, and the Simons Foundation. Statement of compliance with EPSRC policy framework on research data: All data accompanying this publication are directly available within the publication

In vivo antimalarial activity of the ethanolic leaf extract of Hyptis suaveolens poit on Plasmodium berghei in Mice

The ethanolic leaf extract of Hyptis suaveolens was evaluated for antimalarial activity against Plasmodium berghei in infected mice. In the 4 day suppressive test, 60 male and female albino mice (weight: 18-23 g) were infected and treatment began immediately (Day 0), while administration started 72 hours post infection in the curative test. For each test, mice were divided into 5 groups of 12 animals; each group was administered one of the following: 10 mg/kg, 25 mg/kg and 50 mg/kg of the crude extract, 5 mg/kg of chloroquine phosphate or 0.2 ml normal saline for four consecutive days. Thin blood smears were prepared and examined microscopically under x 100 objective on day 4 to day 7 and the percentage parasitaemia were recorded. On day 7 the red blood cells (RBC), white blood cells (WBC), haemoglobin (Hb) and packed cell volume (PCV) were evaluated. The extract demonstrated dose-dependent inhibition effect on the parasites with 42.76% and 18.03% at 50 mg/kg, 33.69% and 10.22% at 25 mg/kg for suppressive and curative tests respectively, while at 10 mg/kg, 22.39% and 6.06% suppression were recorded in the suppressive and curative tests respectively. The RBC, HB and PCV values decreased while there was an increase in WBC compared with that of the control.Keywords: Hyptis suaveolens, Malaria, Screening, Rodent

Substring filtering for low-cost linked data interfaces

Recently, Triple Pattern Fragments (TPFS) were introduced as a low-cost server-side interface when high numbers of clients need to evaluate SPARQL queries. Scalability is achieved by moving part of the query execution to the client, at the cost of elevated query times. Since the TPFS interface purposely does not support complex constructs such as SPARQL filters, queries that use them need to be executed mostly on the client, resulting in long execution times. We therefore investigated the impact of adding a literal substring matching feature to the TPFS interface, with the goal of improving query performance while maintaining low server cost. In this paper, we discuss the client/server setup and compare the performance of SPARQL queries on multiple implementations, including Elastic Search and case-insensitive FM-index. Our evaluations indicate that these improvements allow for faster query execution without significantly increasing the load on the server. Offering the substring feature on TPF servers allows users to obtain faster responses for filter-based SPARQL queries. Furthermore, substring matching can be used to support other filters such as complete regular expressions or range queries

Missing data and multiple imputation in clinical epidemiological research

Missing data are ubiquitous in clinical epidemiological research. Individuals with missing data may differ from those with no missing data in terms of the outcome of interest and prognosis in general. Missing data are often categorized into the following three types: missing completely at random (MCAR), missing at random (MAR), and missing not at random (MNAR). In clinical epidemiological research, missing data are seldom MCAR. Missing data can constitute considerable challenges in the analyses and interpretation of results and can potentially weaken the validity of results and conclusions. A number of methods have been developed for dealing with missing data. These include complete-case analyses, missing indicator method, single value imputation, and sensitivity analyses incorporating worst-case and best-case scenarios. If applied under the MCAR assumption, some of these methods can provide unbiased but often less precise estimates. Multiple imputation is an alternative method to deal with missing data, which accounts for the uncertainty associated with missing data. Multiple imputation is implemented in most statistical software under the MAR assumption and provides unbiased and valid estimates of associations based on information from the available data. The method affects not only the coefficient estimates for variables with missing data but also the estimates for other variables with no missing data

Distances from the Correlation between Galaxy Luminosities and Rotation Rates

A large luminosity--linewidth template sample is now available, improved absorption corrections have been derived, and there are a statistically significant number of galaxies with well determined distances to supply the zero point. A revised estimate of the Hubble Constant is H_0=77 +-4 km/s/Mpc where the error is the 95% probability statistical error. Systematic uncertainties are potentially twice as large.Comment: 21 pages, 9 figures. Invited chapter for the book `Post-Hipparcos Cosmic Candles', Eds. F. Caputo and A. Heck (Kluwer Academic Publishers, Dordrecht

May Measurement Month 2019: an analysis of blood pressure screening results from Australia.

May Measurement Month (MMM) is an annual global blood pressure (BP) screening campaign aimed at obtaining standardized BP measurements and other relevant health information from members of the community to increase awareness of elevated BP and the associated risks. Adults (≥18 years) were recruited through opportunistic sampling across the various Australian states during May 2019. Three BP readings were recorded in a standardized manner for each participant, and data on lifestyle factors and comorbidities were collected. Hypertension was defined as a systolic BP ≥140 mmHg, or a diastolic BP ≥90 mmHg (according to the MMM protocol) or taking antihypertensive medication. Multiple imputation was used to estimate participants' mean BP where three readings were not available. Of the 2877 participants, 901 (31.3%) had hypertension of whom 455 (50.5%) were aware of their condition, and 366 (40.6%) were on antihypertensive medication. Of those taking antihypertensive medication, 54.3% were controlled to <140/90 mmHg with the remaining 45.7% of participants inadequately treated. Approximately 74% of treated patients were on a single antihypertensive medication. The MMM campaign provides an important platform for standardized compilation of BP data and creation of BP awareness in Australia and other nations worldwide. Data from the 2019 MMM campaign highlight that BP control rates in Australia remain unacceptably low

May Measurement Month: results of 12 national blood pressure screening programmes between 2017 and 2019

The first May Measurement Month (MMM) campaign, a global blood pressure (BP) screening programme, began in 2017 as an initiative of the International Society of Hypertension.1 Two subsequent annual campaigns have also been completed in consecutive years2,3 and having had to defer activities due to the COVID-19 pandemic in 2020 the fourth campaign was run in 2021, the results of which are currently in press. Since its initiation in 2017, volunteers from more than 100 countries have participated. The aims of MMM have remained consistent from the start—to raise awareness of the importance of the measurement of BP at the individual and population level and to provide a temporary pragmatic solution to the shortfall in BP screening programmes in countries around the world