Impact of stormwater on biofilm density and microbial community composition in water distribution networks.

Harvesting of stormwater and injecting it into aquifers for storage and recovery during high water demand periods is a promising technology for augmenting conventional water reserves. However, little has been known on how stormwater impacts the biofouling of water distribution infrastructure. This study evaluated the effect on harvested and limestone aquifer treated stormwater on biofilm formation in a pilot distribution pipe network compared to an identical drinking water pipe rig.

Probabilistic programming versus meta-learning as models of cognition.

We summarize the recent progress made by probabilistic programming as a unifying formalism for the probabilistic, symbolic, and data-driven aspects of human cognition. We highlight differences with meta-learning in flexibility, statistical assumptions and inferences about cogniton. We suggest that the meta-learning approach could be further strengthened by considering Connectionist Bayesian approaches, rather than exclusively one or the other.

Impact of secondhand smoke on air quality in partially enclosed outdoor hospitality venues: a review.

Background: Smoking is a leading cause of premature mortality and morbidity globally. The pollutants generated from smoke are not only harmful to smokers, but also to those exposed to secondhand smoke. As a result of increasingly restrictive indoor smoke-free policies in many countries, there is a tendency for tobacco smoking to move outdoors into partially enclosed settings in hospitality venues.

Interaction structure constrains the emergence of conventions in group communication.

Real-world communication frequently requires language producers to address more than one comprehender at once, yet most psycholinguistic research focuses on one-on-one communication. As the audience size grows, interlocutors face new challenges that do not arise in dyads. They must consider multiple perspectives and weigh multiple sources of feedback to build shared understanding.

Enhancing pediatric access to cell and gene therapies.

Increasing numbers of cell and gene therapies (CGTs) are emerging to treat and cure pediatric diseases. However, small market sizes limit the potential return on investment within the traditional biopharmaceutical drug development model, leading to a market failure. In this Perspective, we discuss major factors contributing to this failure, including high manufacturing costs, regulatory challenges, and licensing practices that do not incorporate pediatric development milestones, as well as potential solutions.

Perceptions and Bias of Small Business Leaders in Employing People with Different Types of Disabilities.

Purpose: Despite existing employment-related legislation and governmental programs, people with disabilities continue to face significant barriers to competitive employment. These obstacles are partially due to biases among employers regarding the contributions of people with disabilities and perceptions about accommodation costs, which can affect their hiring decisions. Existing research on employment barriers and facilitators often treats people with disabilities homogenously and focuses mainly on large companies.

Bayesian Reinforcement Learning With Limited Cognitive Load.

All biological and artificial agents must act given limits on their ability to acquire and process information. As such, a general theory of adaptive behavior should be able to account for the complex interactions between an agent's learning history, decisions, and capacity constraints. Recent work in computer science has begun to clarify the principles that shape these dynamics by bridging ideas from , , and .

Disability Inclusion in Corporate Supplier Diversity Initiatives.

Purpose: Since the 1960s, federal and state governments and private-sector companies have used supplier diversity initiatives to ensure their supply chains include businesses owned by traditionally economically disadvantaged or underrepresented groups. Originally concentrated on racial and ethnic minority groups, programs have expanded to include businesses owned by women, veterans, LGBTQ+ individuals, and, in some cases, people with disabilities. This study investigates the extent to which disability is included in supplier diversity initiatives of Fortune 500 companies.

Pelvic Floor Physical Therapy Attendance Among High-Risk Postpartum Patients.

Importance: Limited data describe attendance to pelvic floor physical therapy (PFPT) in a postpartum patient population.

Objectives: The objective was describe attendance to PFPT in a cohort of postpartum women at high-risk of pelvic floor concerns. We secondarily compared attendance between patients with and without evaluation in a postpartum pelvic floor healing clinic (PPFHC).

Who Requests and Receives Workplace Accommodations? An Intersectional Analysis.

Purpose: This study investigates who requests workplace accommodations and who is more likely to have requests granted. We investigate the role of demographic characteristics and their intersection, including disability, gender, race/ethnicity, and age. We also consider the role of other personal and job-related factors.

Comparative analysis of hospitalizations among patients treated with hemodialysis and peritoneal dialysis in European pediatric nephrology centers: results from a prospective EPDWG/ESPN Dialysis Working Group study.

Background And Hypothesis: Hospital admissions in pediatric dialysis patients need to be better studied, and most existing studies are retrospective and based on registry data. This study aimed to analyse and compare hospital admission rates, causes, length of stay (LOS), and outcomes in children treated with peritoneal dialysis (PD) and hemodialysis (HD).

Methods: Data from 236 maintenance PD and 138 HD patients across 16 European dialysis centers were collected between 1 July 2017 and 30 June 2018.

Five Years of Accurate PM Measurements Demonstrate the Value of Low-Cost PurpleAir Monitors in Areas Affected by Woodsmoke.

Low-cost optical sensors are used in many countries to monitor fine particulate (PM) air pollution, especially in cities and towns with large spatial and temporal variation due to woodsmoke pollution. Previous peer-reviewed research derived calibration equations for PurpleAir (PA) sensors by co-locating PA units at a government regulatory air pollution monitoring site in Armidale, NSW, Australia, a town where woodsmoke is the main source of PM pollution. The calibrations enabled the PA sensors to provide accurate estimates of PM that were almost identical to those from the NSW Government reference equipment and allowed the high levels of wintertime PM pollution and the substantial spatial and temporal variation from wood heaters to be quantified, as well as the estimated costs of premature mortality exceeding $10,000 per wood heater per year.

Wood heater smoke and mortality in the Australian Capital Territory: a rapid health impact assessment.

Objectives: To estimate the number of deaths and the cost of deaths attributable to wood heater smoke in the Australian Capital Territory.

Study Design: Rapid health impact assessment, based on fine particulate matter (PM ) data from three outdoor air pollution monitors and published exposure-response functions for natural cause mortality attributed to PM exposure.

Setting: Australian Capital Territory (population, 2021: 454 000), 2016-2018, 2021, and 2022 (2019 and 2020 excluded because of the impact of extreme bushfires on air quality).

Frequent loss-of-function mutations in the AMPK-α2 catalytic subunit suggest a tumour suppressor role in human skin cancers.

The AMP-activated protein kinase (AMPK) is a sensor of cellular energy status activated by increases in AMP or ADP relative to ATP. Once activated, it phosphorylates targets that promote ATP-generating catabolic pathways or inhibit ATP-consuming anabolic pathways, helping to restore cellular energy balance. Analysis of human cancer genome studies reveals that the PRKAA2 gene (encoding the α2 isoform of the catalytic subunit) is often subject to mis-sense mutations in cancer, particularly in melanoma and non-melanoma skin cancers, where up to 70 mis-sense mutations have been documented, often accompanied by loss of the tumour suppressor NF1.

Flexible social inference facilitates targeted social learning when rewards are not observable.

Groups coordinate more effectively when individuals are able to learn from others' successes. But acquiring such knowledge is not always easy, especially in real-world environments where success is hidden from public view. We suggest that social inference capacities may help bridge this gap, allowing individuals to update their beliefs about others' underlying knowledge and success from observable trajectories of behaviour.

A Review of Artificial Neural Network Models Applied to Predict Indoor Air Quality in Schools.

Background: Indoor air quality (IAQ) in schools can affect the performance and health of occupants, especially young children. Increased public attention on IAQ during the COVID-19 pandemic and bushfires have boosted the development and application of data-driven models, such as artificial neural networks (ANNs) that can be used to predict levels of pollutants and indoor exposures.

Methods: This review summarises the types and sources of indoor air pollutants (IAP) and the indicators of IAQ.

Reasons police respond in schools: An analysis of narrative data from police incident reports.

Background: Communities across the U.S. have acted to eliminate or curb police presence in schools.

Evaluating portable air cleaner effectiveness in residential settings to reduce exposures to biomass smoke resulting from prescribed burns.

Aim: Prescribed burning is the most common method employed to reduce fuel loads in flammable landscapes. This practice is designed to reduce the hazard associated with uncontrolled bushfires. Prescribed burns are frequently conducted close to residential areas, and the associated smoke impacts can adversely affect community health.

Peano: learning formal mathematical reasoning.

General mathematical reasoning is computationally undecidable, but humans routinely solve new problems. Moreover, discoveries developed over centuries are taught to subsequent generations quickly. What structure enables this, and how might that inform automated mathematical reasoning? We posit that central to both puzzles is the structure of procedural abstractions underlying mathematics.

Visual resemblance and interaction history jointly constrain pictorial meaning.

How do drawings-ranging from detailed illustrations to schematic diagrams-reliably convey meaning? Do viewers understand drawings based on how strongly they resemble an entity (i.e., as images) or based on socially mediated conventions (i.

Estimating Households' Expenditures on Disability in Africa: The Uses and Limitations of the Standard of Living Method.

People with disabilities face extra costs of living to participate in the social and economic lives of their communities on an equal basis with people without disabilities. If these extra costs are not accounted for, then their economic wellbeing will be overestimated. The Standard of Living (SOL) method is a way of generating these estimates and is thus useful for determining the economic impact of those costs in the current environment.

Naturally occurring stable calcium isotope ratios are a novel biomarker of bone calcium balance in chronic kidney disease.

Dysregulated calcium homeostasis is common in chronic kidney disease and causally associated with disorders of bone mineralization. However, radiological measures and biomarkers do not allow accurate evaluation of bone calcium balance. Non-radioactive calcium isotopes, Ca and Ca, are present in our diet and sequestered into body compartments following principles of kinetic isotope fractionation.