A preliminary study of combined toxicity and underlying mechanisms of imidacloprid and cadmium coexposure using a multiomics integration approach.

Imidacloprid (IMI) and cadmium (Cd) have been shown to be harmful to mammals separately, but their combined toxicity to mammals remains largely unknown. In this study, biochemical analysis (oxidative stress and serum indicators of liver and kidney function), pathological sections and multiomics (metabolomics and transcriptomics) methods were used to investigate the changes and mechanisms of liver and kidney in mice coexposed to IMI and Cd. Biochemical analysis and pathological section results showed that oxidative stress, organ function, and cell damage were aggravated after the combination of the two methods.

Microbial safety of black soldier fly larvae (Hermetia illucens) reared on food waste streams.

Black soldier fly larvae (BSFL) can valorise different organic matter and yield a product of high nutritional value. The lack of knowledge about the microbial safety of BSFL grown on different organic waste streams influences the commercialisation of BSFL as stockfeed ingredient. This study evaluates the microbial safety of BSFL grown on five different commercial food waste streams collected from two commercial production facilities.

Munsell Soil Colour Prediction from the Soil and Soil Colour Book Using Patching Method and Deep Learning Techniques.

Soil colour is a key indicator of soil health and the associated properties. In agriculture, soil colour provides farmers and advises with a visual guide to interpret soil functions and performance. Munsell colour charts have been used to determine soil colour for many years, but the process is fallible, as it depends on the user's perception.

Parameters for one health genomic surveillance of Escherichia coli from Australia.

Genomics is a cornerstone of modern pathogen epidemiology yet demonstrating transmission in a One Health context is challenging, as strains circulate and evolve within and between diverse hosts and environments. To identify phylogenetic linkages and better define relevant measures of genomic relatedness in a One Health context, we collated 5471 Escherichia coli genome sequences from Australia originating from humans (n = 2996), wild animals (n = 870), livestock (n = 649), companion animals (n = 375), environmental sources (n = 292) and food (n = 289) spanning over 36 years. Of the 827 multi-locus sequence types (STs) identified, 10 STs were commonly associated with cross-source genomic clusters, including the highly clonal ST131, pandemic zoonotic lineages such as ST95, and emerging human ExPEC ST1193.

A feasibility study on the use of near infrared spectroscopy to predict fatty acid concentration in intact black soldier fly reared in different waste streams.

The black soldier fly larvae (BSFL) are well known to utilise a wide variety of organic waste streams, delivering a product rich in protein (30-50%) and lipids (15-49%) and other micronutrients. The objective of this study was to evaluate the ability of NIR spectroscopy combined with chemometrics to predict the concentration of fatty acids in BSFL reared in different commercial waste streams. Intact BSFL samples were analysed using a bench top NIR instrument where calibration models for fatty acids were developed using partial least squares (PLS) regression.

Suitability of the -5 social anxiety disorder severity scale for autistic adults.

Mental health measures used with autistic adults are often only evaluated for use with non-autistic adults, which may cause inaccurate measurement. This is important when measuring social anxiety disorder as some features overlap with social characteristics of autism. This study evaluated one self-report questionnaire measure of social anxiety disorder, the Severity Measure for Social Anxiety Disorder.

BSDR: A Data-Efficient Deep Learning-Based Hyperspectral Band Selection Algorithm Using Discrete Relaxation.

Hyperspectral band selection algorithms are crucial for processing high-dimensional data, which enables dimensionality reduction, improves data analysis, and enhances computational efficiency. Among these, attention-based algorithms have gained prominence by ranking bands based on their discriminative capability. However, they require a large number of model parameters, which increases the need for extensive training data.

Phytotoxicity risk assessment of diuron residues in sands on wheat, chickpea, and canola.

While diuron residues are being detected more frequently in agricultural soils, there is limited information available regarding their potential phytotoxicity to non-target grain crops. This study aims to determine robust phytotoxicity thresholds for three common, but contrasting, crop species (canola, chickpea, and wheat) exposed to a range of diuron concentrations and to determine how loamy sand soil can change the toxicity thresholds relative to an inert sand. The log-logistic non-linear regression model proved most effective in determining toxicity thresholds by analysing crop responses to diuron.

Probing the toxicity of hydrothermal carbonised wastes on soil biota: Effect of reaction temperature and feedstock.

Hydrothermal carbonised wastes (hydrochars) can have toxic effects on soil biota, but factors influencing toxin formation in hydrochar, and subsequent toxicity to soil organisms, have not been elucidated. This study investigated the toxicity of hydrochars on soil biota, with a focus on earthworm (Eisenia fetida) avoidance, microbial metabolic quotient (qCO) and microbial activities. Two reaction temperatures (200 °C and 260 °C) and different feedstocks (biosolids, chicken manure and rice straw) were used.

Oxygen concentration in MAP can be reduced with minimal impact on eating quality of lamb.

This study evaluated the impact of high oxygen modified atmosphere packaging (MAP) in four different combinations, 80 % oxygen and 20 % carbon dioxide (MAP80), 40 % oxygen, 20 % carbon dioxide and 40 % nitrogen (MAP40(20CO)), 40 % oxygen, 60 % carbon dioxide (MAP40(60CO)), and vacuum skin packaging (VSP) under different retail display times (3 or 8 days) on the sensory scores of lamb meat. Untrained consumer sensory scores for overall liking, tenderness, juiciness and liking of flavour were assessed on the M. longissimus lumborum (loin) and M.

Ion Trios: Cause of Ion Specific Interactions in Aqueous Solutions and Path to a Better pH Definition.

Many important thermodynamic calculations for aqueous systems are profoundly limited because ion specific interactions have not been understood. Here an alternative modeling paradigm with compelling advantages is presented based on fundamental insights regarding ion-ion interactions at higher electrolyte concentrations. We also show how an intense ongoing controversy regarding single ion activity coefficients (SIACs) can be resolved and how SIACs can be quantified in full thermodynamic compliance using an overlooked convention.

Determinants of antimicrobial resistance in biosolids: A systematic review, database, and meta-analysis.

Biosolids can provide a nutrient rich soil amendment, particularly for poor soils and semi-arid or drought-prone areas. However, there are concerns that sludge and biosolids could be a source of propagation and exposure to AMR determinants such as antibiotic resistant bacteria (ARB), and antibiotic resistance genes (ARGs). To inform risk assessment efforts, a systematic literature review was performed to build a comprehensive spreadsheet database of ARB and ARG concentrations in biosolids (and some sludges specified as intended for land application), along with 69 other quantitative and qualitative meta-data fields from 68 published studies describing sampling information and processing methods that can be used for modeling purposes.

The construction of a sheepmeat eating quality prediction model for Australian lamb.

The current sheep Meat Standards Australia (MSA) model is a pathways system designed to improve the overall eating quality of Australian lamb, yet it is unable to predict individual consumer-based eating quality scores for specific cuts. This paper describes the methodology of using consumer sensory scores to create an objective composite eating quality prediction score linked to individual quality grades for different cuts. This methodology accounts for objective carcass measures that are being commercialised within the industry, such as intramuscular fat percentage and a measure of lean meat yield percentage.

Exploring the functional properties and utilisation potential of mollusca shell by-products through an interdisciplinary approach.

Molluscan shellfish aquaculture contributes to 42.6% of global aquaculture production. With a continued increase in shellfish production, disposal of shell waste during processing is emerging as an environmental and financial concern.

Using large administrative data for mining patients' trajectories for risk stratification: An example from urological diseases.

Objective: To identify latent clusters among urological patients by examining hospitalisation rate trajectories and their association with risk factors and outcome quality indicators.

Materials And Methods: Victorian Admitted Episodes Dataset, containing information on all hospital admissions in Victoria from 2009 to 2019. The top twenty ICD-10 primary diagnosis codes in urology were used to select patients (n = 98,782) who were included in the study.

Pre-emergence herbicides used in urban and agricultural settings: dissipation and ecological implications.

Herbicides are widely recognized as the most cost-effective solution for weed control, but their extensive use in both urban and agricultural settings raise serious concerns about nontarget effects. We assessed the possible hazards associated with pre-emergence herbicides such as dimethenamid-P, metazachlor, and pyroxasulfone, which are frequently applied in both urban and agricultural soils. The dissipation rate constant values (k day: 0.

Microalgae-microplastics interactions at environmentally relevant concentrations: Implications toward ecology, bioeconomy, and UN SDGs.

Microplastics (MPs) are one of the emerging pollutants, causing potential harm to aquatic ecosystems and serious concern in achieving UN Sustainable Development Goals (SDGs). Realizing the occurrence of varying concentrations of MPs in the environment, this investigation presents multi-dimensional insights into the ecological and bioeconomic implications at environmentally relevant concentrations. We pursued a multi-step approach to gain a comprehensive understanding on the effects of microalgae‒MPs interactions and their expansive implications toward SDGs.

A review of advanced bioremediation technologies for dioxin-contaminated soil treatment: Current and future outlook.

Polychlorinated dibenzo-p-dioxins (PCDD) and polychlorinated dibenzofurans (PCDF), namely known as dioxins, are persistent organic compounds with high toxicity. The presence of dioxins in soil is a major environmental issue worldwide, as it negatively impacts both ecosystems and human health. Thus, several advanced techniques have been applied to overcome this issue, offering promising treatment efficiency and cost-effectiveness.

Strengthening rural healthcare outcomes through digital health: qualitative multi-site case study.

Background: Rural populations experience ongoing health inequities with disproportionately high morbidity and mortality rates, but digital health in rural settings is poorly studied. Our research question was: How does digital health influence healthcare outcomes in rural settings? The objective was to identify how digital health capability enables the delivery of outcomes in rural settings according to the quadruple aims of healthcare: population health, patient experience, healthcare costs and provider experience.

Methods: A multi-site qualitative case study was conducted with interviews and focus groups performed with healthcare staff (n = 93) employed in rural healthcare systems (n = 10) in the state of Queensland, Australia.

Variational Bayes machine learning for risk adjustment of general outcome indicators with examples in urology.

Risk adjustment is often necessary for outcome quality indicators (QIs) to provide fair and accurate feedback to healthcare professionals. However, traditional risk adjustment models are generally oversimplified and not equipped to disentangle complex factors influencing outcomes that are out of a healthcare professional's control. We present VIRGO, a novel variational Bayes model trained on routinely collected, large administrative datasets to risk-adjust outcome QIs.