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We present the first results from a new backend on the Australian Square Kilometre Array Pathfinder, the Commensal Realtime ASKAP Fast Transient COherent (CRACO) upgrade. CRACO records millisecond time resolution visibility data, and searches for dispersed fast transient signals including fast radio bursts (FRB), pulsars, and ultra-long period objects (ULPO). With the visibility data, CRACO can localise the transient events to arcsecond-level precision after the detection. Here, we describe the CRACO system and report the result from a sky survey carried out by CRACO at 110-ms resolution during its commissioning phase. During the survey, CRACO detected two FRBs (including one discovered solely with CRACO, FRB 20231027A), reported more precise localisations for four pulsars, discovered two new RRATs, and detected one known ULPO, GPM J1839 $-$10, through its sub-pulse structure. We present a sensitivity calibration of CRACO, finding that it achieves the expected sensitivity of 11.6 Jy ms to bursts of 110 ms duration or less. CRACO is currently running at a 13.8 ms time resolution and aims at a 1.7 ms time resolution before the end of 2024. The planned CRACO has an expected sensitivity of 1.5 Jy ms to bursts of 1.7 ms duration or less and can detect $10\times$ more FRBs than the current CRAFT incoherent sum system (i.e. 0.5 $-$2 localised FRBs per day), enabling us to better constrain the models for FRBs and use them as cosmological probes.
Central line-associated bloodstream infections (CLABSIs) and surgical site infections (SSIs) are major healthcare-associated infections that can be prevented by consistently applying evidence-based infection prevention practices.
Objective:
To assess equity in preventing CLABSIs and SSIs in pediatric patients at a free-standing pediatric hospital, where evidence-based infection prevention practices are consistently implemented.
Methods:
This observational study evaluated 2 cohorts of pediatric patients under 18 years. The CLABSI cohort included inpatients with a central line between 1/1/2016 and 12/31/2022, and the SSI cohort included patients undergoing colon, ventricular shunt, or spinal fusion surgeries between 1/1/2016 and 10/31/2022. The CLABSI rate per 1000 central line days and SSI rate per 100 surgeries were compared across different racial, ethnic, and gender groups.
Results:
In the CLABSI cohort of 8575 patients, encompassing 243,803 central line days, there were 156 CLABSIs. There was no statistical difference in CLABSI rate across race, ethnicity, and/or gender groups. The SSI cohort included 68 SSIs among 1710 patients who underwent 2230 procedures, including 714 colon, 749 ventricular shunt, and 767 spinal fusion procedures. The SSI rate was statistically higher in multiracial (9.9) and Asian (8.6) groups, compared to Caucasian (2.4) and Black (2.2) groups. A nested case-control study of the SSI cohort showed a higher SSI rate in Asians, compared to Caucasians (Odds Ratio: 3.3; 95% CI: 1.3–8.3).
Conclusions:
Equity in preventing CLABSIs is achievable through standardized central-line care. Further study is warranted to assess if improvement opportunities exist for achieving equity in preventing SSIs.
Transcranial direct current stimulation (tDCS) is a promising treatment for major depressive disorder (MDD). This study evaluated its antidepressant and cognitive effects as a safe, effective, home-based therapy for MDD.
Methods
This double-blind, sham-controlled, randomized trial divided participants into low-intensity (1 mA, n = 47), high-intensity (2 mA, n = 49), and sham (n = 45) groups, receiving 42 daily tDCS sessions, including weekends and holidays, targeting the dorsolateral prefrontal cortex for 30 minutes. Assessments were conducted at baseline and weeks 2, 4, and 6. The primary outcome was cognitive improvement assessed by changes in total accuracy on the 2-back test from baseline to week 6. Secondary outcomes included changes in depressive symptoms (HAM-D), anxiety (HAM-A), and quality of life (QLES). Adverse events were monitored. This trial was registered with ClinicalTrials.gov (NCT04709952).
Results
In the tDCS study, of 141 participants (102 [72.3%] women; mean age 35.7 years, standard deviation 12.7), 95 completed the trial. Mean changes in the total accuracy scores from baseline to week 6 were compared across the three groups using an F-test. Linear mixed-effects models examined the interaction of group and time. Results showed no significant differences among groups in cognitive or depressive outcomes at week 6. Active groups experienced more mild adverse events compared to sham but had similar rates of severe adverse events and dropout.
Conclusions
Home-based tDCS for MDD demonstrated no evidence of effectiveness but was safe and well-tolerated. Further research is needed to address the technical limitations, evaluate broader cognitive functions, and extend durations to evaluate its therapeutic potential.
Improving functioning in adults with major depressive disorder (MDD) and bipolar disorder (BD) is a priority therapeutic objective.
Methods
This retrospective post hoc secondary analysis evaluated 108 patients with MDD or BD receiving the antidepressants vortioxetine, ketamine, or infliximab. The analysis aimed to determine if changes in objective or subjective cognitive function mediated the relationship between depression symptom severity and workplace outcomes. Cognitive function was measured by the Perceived Deficits Questionnaire (PDQ-5), the Digit Symbol Substitution Test (DSST), and the Trail Making Test Part B (TMT-B). Depression symptom severity was measured by the Montgomery–Åsberg Depression Rating Scale (MADRS). Workplace function was measured by the Sheehan Disability Scale (SDS) work–school item.
Results
When co-varying for BMI, age, and sex, the association between MADRS and SDS work scores was partially mediated by PDQ-5 total scores and DSST total scores, but not DSST error scores and TMT-B time.
Limitations
This study was insufficiently powered to perform sub-group analyses to identify distinctions between MDD and BD populations as well as between antidepressant agents.
Conclusions
These findings suggest that cognitive impairment in adults with MDD and BD is a critical mediator of workplace function and reinforces its importance as a therapeutic target.
Fully relativistic particle-in-cell (PIC) simulations are crucial for advancing our knowledge of plasma physics. Modern supercomputers based on graphics processing units (GPUs) offer the potential to perform PIC simulations of unprecedented scale, but require robust and feature-rich codes that can fully leverage their computational resources. In this work, this demand is addressed by adding GPU acceleration to the PIC code Osiris. An overview of the algorithm, which features a CUDA extension to the underlying Fortran architecture, is given. Detailed performance benchmarks for thermal plasmas are presented, which demonstrate excellent weak scaling on NERSC's Perlmutter supercomputer and high levels of absolute performance. The robustness of the code to model a variety of physical systems is demonstrated via simulations of Weibel filamentation and laser-wakefield acceleration run with dynamic load balancing. Finally, measurements and analysis of energy consumption are provided that indicate that the GPU algorithm is up to ${\sim }$14 times faster and $\sim$7 times more energy efficient than the optimized CPU algorithm on a node-to-node basis. The described development addresses the PIC simulation community's computational demands both by contributing a robust and performant GPU-accelerated PIC code and by providing insight into efficient use of GPU hardware.
Education can be viewed as a control theory problem in which students seek ongoing exogenous input—either through traditional classroom teaching or other alternative training resources—to minimize the discrepancies between their actual and target (reference) performance levels. Using illustrative data from \documentclass[12pt]{minimal}\usepackage{amsmath}\usepackage{wasysym}\usepackage{amsfonts}\usepackage{amssymb}\usepackage{amsbsy}\usepackage{mathrsfs}\usepackage{upgreek}\setlength{\oddsidemargin}{-69pt}\begin{document}$$n=784$$\end{document} Dutch elementary school students as measured using the Math Garden, a web-based computer adaptive practice and monitoring system, we simulate and evaluate the outcomes of using off-line and finite memory linear quadratic controllers with constraintsto forecast students’ optimal training durations. By integrating population standards with each student’s own latent change information, we demonstrate that adoption of the control theory-guided, person- and time-specific training dosages could yield increased training benefits at reduced costs compared to students’ actual observed training durations, and a fixed-duration training scheme. The control theory approach also outperforms a linear scheme that provides training recommendations based on observed scores under noisy and the presence of missing data. Design-related issues such as ways to determine the penalty cost of input administration and the size of the control horizon window are addressed through a series of illustrative and empirically (Math Garden) motivated simulations.
Galaxy Zoo is an online project to classify morphological features in extra-galactic imaging surveys with public voting. In this paper, we compare the classifications made for two different surveys, the Dark Energy Spectroscopic Instrument (DESI) imaging survey and a part of the Kilo-Degree Survey (KiDS), in the equatorial fields of the Galaxy And Mass Assembly (GAMA) survey. Our aim is to cross-validate and compare the classifications based on different imaging quality and depth. We find that generally the voting agrees globally but with substantial scatter, that is, substantial differences for individual galaxies. There is a notable higher voting fraction in favour of ‘smooth’ galaxies in the DESI+zoobot classifications, most likely due to the difference between imaging depth. DESI imaging is shallower and slightly lower resolution than KiDS and the Galaxy Zoo images do not reveal details such as disc features and thus are missed in the zoobot training sample. We check against expert visual classifications and find good agreement with KiDS-based Galaxy Zoo voting. We reproduce the results from Porter-Temple+ (2022), on the dependence of stellar mass, star formation, and specific star formation on the number of spiral arms. This shows that once corrected for redshift, the DESI Galaxy Zoo and KiDS Galaxy Zoo classifications agree well on population properties. The zoobot cross-validation increases confidence in its ability to compliment Galaxy Zoo classifications and its ability for transfer learning across surveys.
Edited by
Daniel Benoliel, University of Haifa, Israel,Peter K. Yu, Texas A & M University School of Law,Francis Gurry, World Intellectual Property Organization,Keun Lee, Seoul National University
Edited by
Daniel Benoliel, University of Haifa, Israel,Peter K. Yu, Texas A & M University School of Law,Francis Gurry, World Intellectual Property Organization,Keun Lee, Seoul National University
Edited by
Daniel Benoliel, University of Haifa, Israel,Peter K. Yu, Texas A & M University School of Law,Francis Gurry, World Intellectual Property Organization,Keun Lee, Seoul National University
Edited by
Daniel Benoliel, University of Haifa, Israel,Peter K. Yu, Texas A & M University School of Law,Francis Gurry, World Intellectual Property Organization,Keun Lee, Seoul National University
Edited by
Daniel Benoliel, University of Haifa, Israel,Peter K. Yu, Texas A & M University School of Law,Francis Gurry, World Intellectual Property Organization,Keun Lee, Seoul National University
Edited by
Daniel Benoliel, University of Haifa, Israel,Peter K. Yu, Texas A & M University School of Law,Francis Gurry, World Intellectual Property Organization,Keun Lee, Seoul National University
Edited by
Daniel Benoliel, University of Haifa, Israel,Peter K. Yu, Texas A & M University School of Law,Francis Gurry, World Intellectual Property Organization,Keun Lee, Seoul National University
Edited by
Daniel Benoliel, University of Haifa, Israel,Peter K. Yu, Texas A & M University School of Law,Francis Gurry, World Intellectual Property Organization,Keun Lee, Seoul National University
While growing disparities in wealth and income are well-documented across the globe, the role of intellectual property rights is often overlooked. This volume brings together leading commentators from around the world to interrogate the interrelationship between intellectual property and economic inequality. Interdisciplinary and globally oriented by design, the book features economists, legal scholars, policy analysts, and other experts. Chapters address the impact of intellectual property rights on economic inequality, the effect of economic inequality on the protection and enforcement of these rights, and the potential use of innovation law and policy to help reduce economic inequality. The volume also tackles timely issues like race and gender disparities and the North-South divide in innovation. This book is available as Open Access on Cambridge Core.
Ventilator-associated pneumonia (VAP) is a well-established cause of morbidity in critically ill patients. Current VAP criteria exclude patients on extracorporeal membrane oxygenation (ECMO). This retrospective analysis tests the validity of VAP in this population, as well as a new proposed diagnostic criterion for ECMO-associated pneumonia.
The increased severity and frequency of bushfires accompanying human-induced global warming have dire implications for biodiversity conservation. Here we investigate the response of a cryptic, cool-climate elapid, the mustard-bellied snake Drysdalia rhodogaster, to the extensive Black Summer fires of 2019/2020 in south-eastern Australia. The species is categorized as Least Concern on the IUCN Red List (last assessed in 2017), but because a large part of its range was burnt during the Black Summer and little was known about its ecology, D. rhodogaster was identified as a priority species for post-fire impact assessment. We evaluated three lines of evidence to assess the impact of the Black Summer fires on D. rhodogaster. Habitat suitability modelling indicated that c. 46% of the predicted range of the species was affected by bushfire. Field surveys conducted 9–36 months post-fire and collation of records from public databases submitted 0–24 months post-fire indicated that D. rhodogaster persisted in burnt landscapes. Fire severity and proportion of the landscape that was burnt within a 1,000-m radius of survey sites were poor predictors of site occupancy by D. rhodogaster. Although conclusions regarding the effects of fire on D. rhodogaster are limited because of the lack of baseline data, it is evident that the species has persisted across the landscape in the wake of extensive bushfires. Our work highlights the need for baseline knowledge on cryptic species even when they are categorized as Least Concern, as otherwise assessments of the impacts of catastrophic events will be constrained.
Scholars have recognized the role that legal intermediaries can play in shaping the law through their interpretations of legal ambiguity and guidance to rule-takers on legal compliance. Although legal intermediaries thus have the potential to effect social change, most research in the area of employment discrimination has focused on the way they facilitate only symbolic compliance with the law. In this article, we examine how the Equal Employment Opportunity Commission (“EEOC”) took steps that legitimized a new area of claiming, classifying sexual orientation and gender identity (“SOGI”) discrimination as prohibited sex discrimination. Drawing on 2012–2016 confidential charge data, we analyze which alleged issues had a greater likelihood of being identified by EEOC actors as strong cases of discrimination. We use quantitative administrative data and a unique dataset generated from the coding of charge narratives to develop our description of the EEOC’s categorization of SOGI charges. Our findings indicate that first by accepting SOGI charges and then by assigning 34% – much higher than other discrimination charge bases – with the highest processing category, the EEOC made new law, expanding Title VII protection. At the same time, our findings reflect that the EEOC exhibited restraint in this expansion through prioritizing charges that were closely aligned to prior gender stereotyping cases, rather than more directly signaling an SOGI identity-based protection. These findings illustrate the exercise of initiative within prior legal constraint, defining a new area of legal claiming.
We present the Pilot Survey Phase 2 data release for the Wide-field ASKAP L-band Legacy All-sky Blind surveY (WALLABY), carried-out using the Australian SKA Pathfinder (ASKAP). We present 1760 H i detections (with a default spatial resolution of 30′′) from three pilot fields including the NGC 5044 and NGC 4808 groups as well as the Vela field, covering a total of $\sim 180$ deg$^2$ of the sky and spanning a redshift up to $z \simeq 0.09$. This release also includes kinematic models for over 126 spatially resolved galaxies. The observed median rms noise in the image cubes is 1.7 mJy per 30′′ beam and 18.5 kHz channel. This corresponds to a 5$\sigma$ H i column density sensitivity of $\sim 9.1\times10^{19}(1 + z)^4$ cm$^{-2}$ per 30′′ beam and $\sim 20$ km s$^{-1}$ channel and a 5$\sigma$ H i mass sensitivity of $\sim 5.5\times10^8 (D/100$ Mpc)$^{2}$ M$_{\odot}$ for point sources. Furthermore, we also present for the first time 12′′ high-resolution images (“cut-outs”) and catalogues for a sub-sample of 80 sources from the Pilot Survey Phase 2 fields. While we are able to recover sources with lower signal-to-noise ratio compared to sources in the Public Data Release 1, we do note that some data quality issues still persist, notably, flux discrepancies that are linked to the impact of side lobes associated with the dirty beams due to inadequate deconvolution. However, in spite of these limitations, the WALLABY Pilot Survey Phase 2 has already produced roughly a third of the number of HIPASS sources, making this the largest spatially resolved H i sample from a single survey to date.