Publications by authors named "A J Ong"

Rapid urbanization and escalating climate crises place cities at the critical juncture of environmental and public health action. Urban areas are home to more than half of the global population, contributing ~ 75% of global greenhouse gas emissions. Structured surveys were completed by 191 leaders in city governments and civil society from 118 cities in 52 countries (February-April 2024).

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Rationale & Objective: Monoallelic predicted Loss-of-Function (pLoF) variants in IFT140 have recently been associated with an autosomal dominant polycystic kidney disease (ADPKD)-like phenotype. This study sought to enhance the characterization of this phenotype.

Study Design: Case series.

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Objective: This study leverages natural language processing techniques to identify specific practices older adults with chronic pain adopt to enhance well-being.

Method: We applied network topic modeling to open-ended survey responses from 683 adults (57% female) who reported experiencing chronic pain in the Midlife in the United States (MIDUS) study, analyzing responses to the question "What do you do to make your life go well?" Structural equation modeling was used to examine the relationships between identified topics and measures of pain interference and prescription pain medication use, adjusting for sociodemographics and well-being indicators.

Results: The analyses revealed twelve key topics, including avoiding stress, maintaining social connections, and practicing spirituality and faith.

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Objectives: Over the last decades, there has been a rising number of randomised controlled trials (RCTs) on pre-eclampsia. We investigated pre-eclampsia RCTs between 1987 and 2021 and reported on trustworthiness, risk of biases, p-values, transparency, and usefulness.

Methods: We searched PubMed for RCTs containing "pre-eclampsia" or "hypertensive disorders of pregnancy" in the title between 1987 and 2021.

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The long-held assumption that the optimization of parameters for NDDO-descendant semiempirical methods may be performed without precise geometry optimization is assessed in detail; the relevant equations for the analytical evaluation of the geometry-corrected derivatives of molecular properties that account for changes in the optimum geometry are then presented. The first and second derivatives calculated from our implementation of MNDO are used for a limited reparameterization of 1,113 CHNO molecules taken from the PM7 training set, demonstrating an improvement over the PARAM program used in the optimization of parameters for the PMx methods.

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