10,163 results match your criteria: "Victoria University.[Affiliation]"

Evaluating whether someone's behavior is praiseworthy or blameworthy is a fundamental human trait. A seminal study by Hamlin and colleagues in 2007 suggested that the ability to form social evaluations based on third-party interactions emerges within the first year of life: infants preferred a character who helped, over hindered, another who tried but failed to climb a hill. This sparked a new line of inquiry into the origins of social evaluations; however, replication attempts have yielded mixed results.

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Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), influenza, and respiratory syncytial virus (RSV) are significant global health threats. The need for low-cost, easily synthesized oral drugs for rapid deployment during outbreaks is crucial. Broad-spectrum therapeutics, or pan-antivirals, are designed to target multiple viral pathogens simultaneously by focusing on shared molecular features, such as common metal cofactors or conserved residues in viral catalytic domains.

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Background/objectives: In vitro studies suggest that carnosine reduces inflammation by upregulating anti-inflammatory mediators and downregulating pro-inflammatory cytokines. However, human clinical trials examining the effects of carnosine on inflammatory biomarkers are scant. We conducted a secondary analysis of a double-blind randomised controlled trial (RCT) to examine the effects of carnosine supplementation on inflammatory markers and adipokines in participants with prediabetes or well-controlled type 2 diabetes (T2D).

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Background/objectives: Patients with dementia present with feeding difficulties (FDs) since diagnosis, conditioning their progression. Early identification is vital for preventing deterioration due to nutritional problems. The Edinburgh Feeding Evaluation in Dementia Scale (EdFED) identifies the FDs of patients with dementia by studying their behaviours while eating or being fed.

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Background: The role of metabolic dysfunction-associated steatotic liver disease (MASLD) in sleeve gastrectomy (SG)-related outcomes remains uncertain. In this study, we aimed to assess the influence of preoperative biopsy-proven MASLD and its stages on weight loss after SG.

Methods: One hundred sixty-three patients with obesity undergoing SG with concomitant intraoperative liver biopsy were followed up for 1 year.

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Inorganic nitrate (NO) supplementation, via its conversion to nitric oxide (NO), has been purported to be ergogenic in healthy individuals. Many disease states are characterized by reduced NO bioavailability and are expected to derive a benefit from NO. This systematic review and meta-analysis evaluate the current literature on the ergogenic effect of NO supplementation in individuals with cardiopulmonary and metabolic diseases (CPMD).

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Article Synopsis
  • Heart failure (HF) is a complicated condition with various causes that requires a comprehensive, multidisciplinary treatment approach; however, existing self-management programs may not effectively reduce readmissions.
  • This study evaluated a simplified one-page chronic disease self-management (CDSM) tool against a detailed program, focusing on its ability to assess self-management potential and predict hospital readmissions and major cardiovascular events.
  • Out of 117 patients studied, results showed different categorizations of self-management abilities, highlighting the simplified tool's potential effectiveness in identifying patients at risk of poor self-management capabilities.
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  • The study investigates the high prevalence of psychological symptoms like depression and anxiety among Chinese university students and their lack of access to timely treatment.
  • It examines how physical activity (PA) and mindfulness independently and together affect these symptoms, using a survey of 710 students.
  • Results indicate that higher PA significantly reduces symptoms of depression, anxiety, and internet addiction, and a combination of high PA and mindfulness yields the lowest risk for these issues.
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A clinician's guide to performing a case series study.

J Bodyw Mov Ther

October 2024

Institute for Health and Sport, Victoria University, Melbourne, Victoria, Australia.

Whilst some guidance exists, the literature is relatively scarce on designing and reporting on case series studies for non-surgical techniques/interventions or interventions that may be considered outside the medical model. This commentary presents a set of thirteen design attributes and an adapted checklist for consideration by clinicians when considering a case series design focused on a non-surgical intervention.

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Article Synopsis
  • The first Clinical and Scientific Conference on ADSS1 myopathy took place on June 3, 2024, at NIH in Maryland, focusing on this rare inherited neuromuscular disease.
  • The conference highlighted geographical patient clusters from South Korea, Japan, India, and the USA, along with research on pre-clinical models to better understand the disease.
  • Experts identified biochemical pathways for potential therapies and created an ADSS1 myopathy consortium to guide new treatment development.
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Conductive-Polymer-Based Double-Network Hydrogels for Wearable Supercapacitors.

Gels

October 2024

Centre for Innovative Materials for Health, School of Chemical Sciences, The University of Auckland, 23 Symonds Street, Auckland 1010, New Zealand.

In the field of contemporary epidermal bioelectronics, there is a demand for energy supplies that are safe, lightweight, flexible and robust. In this work, double-network polymer hydrogels were synthesized by polymerization of 3,4-ethylenedioxythiophene (EDOT) into a poly(vinyl alcohol)/poly(ethylene glycol diacrylate) (PVA/PEGDA) double-network hydrogel matrix. The PEDOT-PVA/PEGDA double-network hydrogel shows both excellent mechanical and electrochemical performance, having a strain up to 498%, electrical conductivity as high as 5 S m and specific capacitance of 84.

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In genetic syndromes such as Down syndrome (DS) and Williams syndrome (WS), difficulties with executive functioning (EF) are a commonly reported feature and a key correlate of long-term success in everyday life. Despite a robust literature in children with these syndromes, it remains unclear how cross-syndrome characteristics of everyday EF relate to adaptive functioning and intelligence among adults with DS and WS, and if these relationships differ between these groups. This study aimed to characterise the profile of strengths and weaknesses in everyday EF using the Behaviour Rating Inventory of Executive Function-Adult Informant Version (BRIEF-A) in older adolescents and young adults with DS and WS.

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Increasing interest in seabed resource use in the ocean is introducing new pressures on deep-sea environments, the ecological impacts of which need to be evaluated carefully. The complexity of these ecosystems and the lack of comprehensive data pose significant challenges to predicting potential impacts. In this study, we demonstrate the use of Bayesian networks (BNs) as a modeling framework to address these challenges and enhance the development of robust quantitative predictions concerning the effects of human activities on deep-seafloor ecosystems.

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Forward-Scattering and Multiple-Scattering Sources of Errors in UV-Visible Spectroscopy of Microspheres.

Anal Chem

December 2024

The MacDiarmid Institute for Advanced Materials and Nanotechnology, School of Chemical and Physical Sciences, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand.

Article Synopsis
  • Conventional UV-visible spectroscopy uses a transmission setup to measure solution spectra, but it can introduce errors especially in samples that scatter light.
  • An experiment with polystyrene spheres of varying sizes revealed significant differences in spectra from two different UV-visible instruments, highlighting errors that contradict established theories like the Beer-Lambert law.
  • A new model has been proposed to account for these scattering errors and could potentially reduce measurement inaccuracies by up to 40%.*
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Practitioners at the local and regional scale are under increased pressure to reduce risks to people and property posed by the threats of sea-level rise (SLR) and associated impacts. To achieve this, a dialog between practitioners and scientists is imperative. Current research documents impacts of SLR, evaluates local SLR adaptation activities, identifies barriers to action, and works to assess local adaptive capacity.

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In silico identification of Histone Deacetylase inhibitors using Streamlined Masked Transformer-based Pretrained features.

Methods

November 2024

Faculty of Information Technology, Ho Chi Minh City Open University, 97 Vo Van Tan, District 3, Ho Chi Minh City 700000, Viet Nam; School of Mathematics and Statistics, Victoria University of Wellington, Kelburn Parade, Wellington 6012, New Zealand. Electronic address:

Histone Deacetylases (HDACs) are enzymes that regulate gene expression by removing acetyl groups from histones. They are involved in various diseases, including neurodegenerative, cardiovascular, inflammatory, and metabolic disorders, as well as fibrosis in the liver, lungs, and kidneys. Successfully identifying potent HDAC inhibitors may offer a promising approach to treating these diseases.

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Article Synopsis
  • - The study examined how the Na,K-ATPase inhibitor digoxin affects muscle content, potassium levels, and fatigue during intense exercise in healthy adults, using a double-blind crossover design with a placebo.
  • - Results showed that while muscle Na,K-ATPase binding increased with digoxin treatment, muscle isoform levels did not change, suggesting a potential adaptation mechanism to maintain Na,K-ATPase function despite the drug's effects.
  • - Exercise produced significant shifts in potassium levels, with digoxin leading to earlier fatigue and altered potassium responses compared to the placebo, highlighting digoxin's impact on muscle performance during high-intensity activities.
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  • Athletes face challenges with high training workloads and insufficient recovery, which can lead to fatigue, performance issues, and increased injury risk; motor imagery (MI) is a psychological technique that can help counteract these negative effects.
  • MI has been shown to improve outcomes like reducing strength loss, enhancing training engagement in injured athletes, promoting recovery, and developing sport-specific skills throughout various athletic scenarios, including rehabilitation and return-to-sport protocols.
  • To maximize the benefits of MI, practitioners should consider individual skill levels, the athlete's ability to create vivid mental images, and the perspective (internal vs. external) used during MI training.
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Frustrated Lewis Pairs from Al-E Bonds (E=Ge, Sn, Pb).

Chemistry

November 2024

School of Chemical and Physical Sciences, Victoria University of Wellington, PO Box 600, Wellington, 6012, New Zealand.

The potassium aluminyl K[Al(NON)] ([NON]=[O(SiMeNDipp)], Dipp=2,6-iPrCH) reacts with group 14 chloroamidinates E(Am)Cl (E=Ge, Sn, Pb. [Am]=[tBuC(NDipp)]) to form (NON)Al-E(Am) Lewis pairs with unsupported Al-E bonds, including the first structurally authenticated Al-Pb bond. Analysis using spectroscopic (NMR, UV-vis and Mössbauer for E=Sn), X-ray diffraction and computational (DFT, QTAIM, TD-DFT) methods conclude an Al-E σ-bond derived from a Lewis basic Al and a Lewis acidic tetrylene, with back-donation from the E s-orbital lone pair donor NBO to acceptor NBOs on Al that are derived from s/p-orbitals.

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Genetic Programming-based Feature Selection for Symbolic Regression on Incomplete Data.

Evol Comput

November 2024

School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand

Article Synopsis
  • High-dimensional data poses significant challenges in symbolic regression, especially when dealing with incomplete datasets.
  • Traditional genetic programming requires data imputation before processing, which can be inefficient if many features are irrelevant or incomplete.
  • This research introduces a genetic programming method that directly selects relevant features from incomplete high-dimensional data, improving symbolic regression performance and efficiency by avoiding unnecessary imputations.
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Flight-Initiation Distance (FID)-a direct measure of an individual animal's escape response-is a widely used method to study escape ecology in fauna. The technique has primarily been applied to bird species that are active by day. Indexing the escape behaviour of nocturnal species has been limited due to the need for light to detect and observe animals which confounds behavioural responses.

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Ion implantation is widely utilised for the modification of inorganic semiconductors; however, the technique has not been extensively applied to lead halide perovskites. In this report, we demonstrate the modification of the optical properties of caesium lead bromide (CsPbBr) thin films via noble gas ion implantation. We observed that the photoluminescence (PL) lifetimes of CsPbBrthin films can be doubled by low fluences (<1 × 10at·cm) of ion implantation with an acceleration voltage of 20 keV.

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The role of the dopamine D1 receptor in anticipatory pleasure and social play.

Neuropharmacology

February 2025

Behavioural Neurogenetics Group, Victoria University of Wellington, PO Box 600, Wellington, New Zealand.

Social play is a highly rewarding activity seen across mammalian species that is vital for neurobehavioural development. Dysfunctions in social play are seen across psychiatric and neurodevelopmental disorders positing the importance of understanding the neurobiological mechanisms underlying social play. A multitude of neurotransmitter systems have been implicated in social play, with the present study focused on the role of dopamine, specifically the dopamine D1 receptor.

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Marine sponges are a prolific source of biologically active small molecules, many of which originate from sponge-associated bacteria. Identifying the producing bacteria is a key step in developing sustainable routes for the production of these metabolites. To facilitate the required computational analyses, we developed MetaSing, a reproducible singularity-based pipeline for assembly, identification of high-quality metagenome-assembled genomes (MAGs), and analysis of biosynthetic gene clusters (BGCs) from metagenomic short-read data.

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