Search Results (154)

This experiment examined whether multiparous sows fed a diet lower in energy and lysine at a reduced feed allowance would still mobilise fat and (or) protein to support piglet growth and negatively impact subsequent reproductive performance. A total of 152 multiparous sows was allocated in a 2 × 2 factorial design with the respective factors being diet type fed in lactation (gestation, 13.0 MJ digestible energy (DE)/kg, 0.42 g standardised ileal digestible (SID) lysine/MJ DE; or lactation, 14.3 MJ DE/kg, 0.62 g SID lysine/MJ DE) and feed allowance (ad libitum or 7.5 kg/d, ~15% reduction on ad libitum intake). Body composition was estimated on the day after farrowing (day 2) and at weaning (day 21). Blood was collected on days 2, 21 and at standing heat, for the analysis of insulin and insulin-like growth factor 1 (IGF-1). Diet type did not alter (p > 0.05) bodyweight or P2 backfat depth change in lactation, estimated body fat and protein changes, litter growth, or subsequent total piglets born. Ad libitum-fed sows showed a significant gain in girth compared to sows offered 7.5 kg/d (2.9 versus −0.4 mm, p = 0.015) and had a tendency for a shorter wean-to-service interval (p < 0.10). Sows fed the lactation diet had higher insulin concentrations at weaning (p < 0.05), but levels were the same (p > 0.10) by heat detection; IGF-1 concentrations remained unaffected. These data indicate that imposing a calculated negative energy and lysine balance on lactating sows had a limited impact on lactation or subsequent reproductive performance, supporting the notion that the modern sow may be more resilient to nutritional impositions than has been historically reported. Full article

The study of plant demography is important for identifying ongoing population processes and trends. While single-census studies have limited ability to capture long-term dynamics, they are crucial for establishing baseline data on the status of plant populations. In 2022, four populations of Cephalanthera longifolia (Orchidaceae) in Lithuania were studied using a standardised sampling plot method. Within each population, 20 plots were established along a transect. All plant species within each plot were recorded, and their coverage was estimated. Additionally, the height of the plants, the cover of plant debris, and the amount of bare soil in the sampling plot were assessed. Vegetative individuals of C. longifolia were dominant across all populations, comprising between 58.7% and 85.1% of all individuals. Combining data from all populations revealed that vegetative individuals accounted for 71.8% of the total population, while generative individuals accounted for the remaining 28.2%. The mean density of individuals in the studied populations ranged from 3.8 ± 2.3 to 11.1 ± 4.3 individuals per square metre. A comparison of plant traits (plant height, inflorescence length, number of flowers in inflorescence, number of fruits set, and number of leaves) was performed between populations. Increased cover of plant debris was found to have the strongest negative effect on the number of individuals. We believe that the demographic type of a population (dynamic, normal or regressive) should be assessed in the context of the life cycle of certain species and their ecological traits, rather than mechanistically. Under reduced light availability, most individuals remained in a vegetative state. Therefore, the ratio of generative to vegetative individuals reflects current habitat conditions rather than long-term population trends. Full article

Selecting appropriate research methodologies in project management traditionally relies on individual expertise and intuition, leading to variability in study design and reproducibility challenges. To address this gap, we introduce a machine learning-driven recommendation system that objectively matches project management use cases to suitable research methods. Leveraging a curated dataset of 156 instances extracted from over 100 peer-reviewed articles, each example is annotated by one of five application domains (cost estimation, performance analysis, risk assessment, prediction, comparison) and one of seven methodology classes (e.g., regression analysis, time-series analysis, case study). We transformed textual descriptions into TF-IDF features and one-hot-encoded contextual domains, then trained and rigorously tuned three classifiers—random forest, support vector machine, and K-nearest neighbours—using stratified five-fold cross-validation. The random forest model achieved superior performance (93.8% ± 1.9% accuracy, macro-F1 = 0.93, ROC-AUC = 0.94), demonstrating robust generalisability across diverse scenarios, while SVM offered the highest precision on dominant classes. Our framework establishes a transparent, reproducible workflow—from literature extraction and annotation to model evaluation—and promises to standardise methodology selection, enhancing consistency and rigour in project management research design. Full article

The textile industry is among the world’s largest, producing an estimated 124 million tonnes of fibres in 2023, with more than half of these being made from virgin polyester. Less than 0.1% of polyester fibres are recycled into new textiles at the end of their lives. Mechanical, thermo-mechanical, and chemical textile-to-textile polyester recycling are all technically possible, but thermo-mechanical recycling is reported to provide the most promising compromise between cost and quality. Myriad chemicals are used in polyester production, and this paper is the first to review the related academic literature to better understand their impact on recyclability. It has been demonstrated that chemicals used during the production and processing of polyester textiles can either provide resistance to, or catalyse, the degradation of polyester during thermo-mechanical recycling processes. However, the effect of combinations of these chemicals on recycling is largely unknown. Limiting, standardising, and transparently reporting the chemicals used during textile production would simplify research and could lead to better quality products after recycling. Full article

Background: Colorectal cancer (CRC) is the most common cancer and the leading cause of cancer-related death globally. While survival improved, CRC patients face the risk of subsequent multiple primary cancers (MPCs). This study aimed to determine the incidence and identify risk factors associated with metachronous MPCs among CRC survivors. Methods: A retrospective analysis was performed on adults diagnosed with invasive colorectal adenocarcinoma at Flinders Medical Centre from 2011 to 2024, who had at least 6 months of post-CRC follow-up. Sociodemographic factors, clinical information, tumour characteristics, and treatment types were collected. Cumulative incidence function and sub-distribution hazard models were used to estimate the incidence and identify risk factors of developing MPCs. Results: Of the total 554 eligible study participants, 12% developed MPC, with a median follow-up time of 5 years (interquartile range: 2.8–7.6 years) until the diagnosis of MPC. Gastrointestinal, prostate, and haematological malignancies were the most common types of MPCs identified. The cumulative incidence and standardised incidence ratio (SIR) of an MPC were 20.9% (95% CI: 15.3–25.6) and 1.32 (95% CI: 1.03–1.68), respectively. Male sex, older age (>65 y), early-stage cancer, and loss of mismatch repair (MMR) protein expression were associated with an increased risk of developing MPCs. Conclusions: CRC survivors have a higher risk of developing an MPC compared to the general population. Sex, age, cancer stage, and MMR protein expression are factors associated with MPCs. Therefore, tailored surveillance based on the individual’s risk profile should be considered for timely diagnosis of subsequent cancers to improve long-term outcomes. Full article

Probabilistic models are used to describe random processes and quantify prediction uncertainties in a principled way. Examples include geotechnical and geological investigations that seek to model subsurface hydrostratigraphic properties or mineral deposits. In mining geology, model validation efforts have generally lagged behind the development and deployment of computational models. One problem is the lack of industry guidelines for evaluating the uncertainty and predictive performance of probabilistic ore grade models. This paper aims to bridge this gap by developing a holistic approach that is autonomous, scalable and transferable across domains. The proposed model assessment targets three objectives. First, we aim to ensure that the predictions are reasonably calibrated with probabilities. Second, statistics are viewed as images to help facilitate large-scale simultaneous comparisons for multiple models across space and time, spanning multiple regions and inference periods. Third, variogram ratios are used to objectively measure the spatial fidelity of models. In this study, we examine models created by ordinary kriging and the Gaussian process in conjunction with sequential or random field simulations. The assessments are underpinned by statistics that evaluate the model’s predictive distributions relative to the ground truth. These statistics are standardised, interpretable and amenable to significance testing. The proposed methods are demonstrated using extensive data from a real copper mine in a grade estimation task and are accompanied by an open-source implementation. The experiments are designed to emphasise data diversity and convey insights, such as the increased difficulty of future-bench prediction (extrapolation) relative to in situ regression (interpolation). This work enables competing models to be evaluated consistently and the robustness and validity of probabilistic predictions to be tested, and it makes cross-study comparison possible irrespective of site conditions. Full article

Challenge, adventure, and risky play have repeatedly been found to be learning environments that positively shape childhood well-being and development. Extant evidence-based research conveys the physical, cognitive, and socio-emotional growth associated with risky play provision. However, understanding the interplay of risky play, injury, and safety is more nuanced and complex. The goal of this paper is to introduce a tool which allows educators, parents, health practitioners, urban planners, playground designers, certifiers, manufacturers, and inspectors to estimate both the benefit and risk of outdoor play and learning settings, such as playgrounds, adventure parks, or risk-taking activities. One of the key challenges associated with societal risk appetite or risk tolerance has been the inability to quantify the inherent benefits of risk taking in playgrounds and educational settings. Historically, the assessment of ‘benefit–risk’ has been dominated by a zero tolerance of incidents, whether in the workplace or road safety settings. Against this backdrop, if playgrounds and outdoor learning settings are boring, children will go elsewhere to seek thrills and adventure, which may often be manifested in antisocial behaviour. In 2023, ‘benefit–risk’ was formally recognised in the area of sport and recreation by the International Organisation for Standardisation, when it published the ISO 4980:2023 benefit–risk assessment for sport and recreational facilities, activities, and equipment. ISO 4980:2023 is a departure from the traditional view of risk management, in that it presents a perspective of risk which is not limited to framing risk as negative, but rather balances the calculation of positive benefits as well as the risks associated with the activity. Correspondingly, hazardous situations which have zero benefit should be eliminated or mitigated. The tool introduced in this paper offers playground inspectors and educators the ability to measure and assess both the benefit and risk of outdoor playgrounds and educational settings where children play, learn, and flourish. Full article

Construction and demolition waste (CDW) management remains a pressing challenge in the construction industry, contributing significantly to environmental degradation and resource depletion. Accurate waste measurement is essential for improving resource recovery and circular economy adoption. However, existing research lacks standardised estimation methods, the integration of digital technologies, and comprehensive lifecycle analysis approaches, limiting the effectiveness of waste prediction and management strategies. This study addresses the gap by conducting a scientometric analysis using CiteSpace and SciMAT, examining research trends, thematic clusters, and knowledge evolution in CDW quantification and management from 2014 to 2024. It establishes a conceptual framework for integrating digital systems and sustainable practices in CDW, focusing on waste generation rate, carbon emission, and phase-based waste management analysis. Network cluster analysis reveals the integral role of estimation tools and modelling techniques in refining waste generation quantification for building constructions. It also examines the interplay of digital tools, their influence on environmental cost reduction, and factors affecting waste production and environmental protection across project phases. This conjugate approach highlights the importance of the successful implementation of waste quantification and the imperative of machine learning for further investigation. This review offers an evidence-based framework to identify key stakeholders, guide future research, and implement sustainable waste management policies. Full article

Background and aims: Recent advances in acute stroke interventions have highlighted the importance of accurate determination of infarct volume in the evaluation of acute stroke patients, carrying important prognostic and therapeutic implications for treatment planning, outcome prediction, and evaluation of the success of therapeutic interventions. However, there is no consensus on the methodologies employed to measure cerebral infarct volume. We aimed to assess the reproducibility and reliability of methods employed in the clinical determination of infarct volume in acute ischaemic stroke. Methods: We carried out a systematic review of studies assessing methodologies for the determination of infarct volume in the acute phase (<24 h). We searched Medline PubMed, Scopus, Cinahl, Cochrane Library, Web of Science, and Embase for studies examining image-based diagnosis of acute ischaemic stroke < 24 h by CT or MRI. Data on patient cohorts, imaging type, time from symptoms onset, methodologies and quantification strategies, rater reliability, accuracy, sensitivity, and specificity were compared. Results: We identified eighteen eligible studies with a total of 3298 ischaemic stroke patients assessing a variety of manual, semi-automated, and fully-automated methods. The ABC/2 method was found to be highly reliable, reproducible, and accurate, and provides the best manual estimate of infarction, but has a tendency to under- or overestimate infarct volume. Semi-automated and automated approaches with user refinement showed excellent inter-rater and intra-rater correlation. However, differences in operating algorithms and lack of standardisation of image acquisition parameters, quality, and format may impact performance and reproducibility. Conclusions: Of all methods, automated and semi-automated approaches utilising rater judgment and refinement represent the most robust approaches, with semi-automated tools demonstrating consistent and repeatable results. We recommend a standardised reporting of study methodologies for the accurate interpretation and comparison of efficacy of therapeutic interventions and patient outcomes, especially in a multi-centre setting. This may allow for more effective evaluation of stroke therapies and accelerate ischaemic stroke treatment decisions. Full article

Quantifying the infectious titre of preparations containing rabbit haemorrhagic disease virus (RHDV) is an essential virological technique during RHDV research. The infectious titre of an RHDV preparation is determined using a bioassay to identify the endpoint dilution at which 50% of rabbits become infected (RID₅₀). Previous publications have briefly described the method for estimating the infectious titre of RHDV preparations by challenging rabbits with 10-fold serial dilutions. However, these descriptions lack the critical considerations for a standardised method to estimate RID₅₀. These details are presented here, along with a comparison between the Reed–Muench, Dragstedt–Behrens, Spearman–Kärber, and probit regression methods for calculating the RID₅₀. All the statistical approaches demonstrated a high level of agreement in calculating the RID₅₀. To help assess the precision of the estimated infectious titre, the improved Spearman–Kärber and probit regression methods provide the 95% confidence intervals. The method outlined improves the accuracy of results when undertaking studies of pathogenicity, host resistance, and the production of vaccines against RHDV. Full article

Green structures, buildings incorporating living plants, offer numerous benefits, including carbon sequestration and improved indoor air quality. (1) However, the effective design and analysis of these structures are hindered by a lack of standardised methodologies. This work proposes a novel four-zone method for instantaneous gas exchange testing in green structures. (2) The method involves estimating gas exchange by measuring gas content at the plant zone’s entrance and exit, with individual CO₂ content measurements within the zone to account for inertia and stratification effects exacerbated by mixing. (3) This method has been adopted into a national standard draft. The dependency of CO₂ absorption/release is obtained for Chlorophytum comosum. The method is also successfully tested on Ligustrum vulgare. (4) The developed method provides formulas and data on CO₂ absorption/release for use in designing green structures and indoor greening systems. Results show that Chlorophytum comosum can consume over 23 μg/s of CO₂ per square meter of foliage, with a light saturation threshold for CO₂ absorption between 8500 and 20,000 phlx, depending on CO₂ levels. Full article

Background: An unhealthy diet is a major risk factor for colorectal cancer (CRC). This study assessed the diet-related CRC burden from 1990 to 2021 in Organisation for Economic Co-operation and Development (OECD) nations and estimated the burden until 2050. Methods: Data for OECD countries on diet-related CRC disability-adjusted life years (DALYs) and deaths were obtained from the Global Burden of Disease 2021 study. The estimated annual percent change (EAPC) was calculated to analyse the CRC burden attributable to dietary factors. A generalised additive model with a negative binomial distribution was used to predict the future burden of CRC attributable to dietary factors from 2021 to 2050. Results: In 2021, the age-standardised percentages of diet-related CRC DALYs and deaths were 39.1% (95% uncertainty interval (UI): 9.3, 61.3) and 39.0% (95% UI: 9.7, 60.9), respectively, in the OECD countries. Between 1990 and 2021, the age-standardised DALYs decreased from 185 to 129 per 100,000, and deaths decreased from 8 to 6 per 100,000 population for OECD countries. Similarly, the EAPC in the rates showed a downward trend (EAPC_deaths = −1.26 and EAPC_DALYs = −1.20). The estimated diet-related CRC DALYs and deaths are projected to increase to 4.1 million DALYs and 0.2 million deaths by 2050. There is a downward trend in CRC deaths (EAPC = 1.33 for both sexes) and in DALYs (−0.90 for males and −1.0 for females) from 1990 to 2050. Conclusions: The diet-related CRC burden remains significant. Implementing nutrition intervention programmes is necessary to promote access to affordable and nutritious foods and raise awareness about the importance of a healthy diet in reducing CRC risk. Full article

This article provides detailed geological and reservoir data on the existing underground gas storage (UGS) facilities in Ukraine and their prospects for hydrogen (H₂) and carbon dioxide (CO₂) storage. The H₂ and CO₂ storage issue is an integral part of the decarbonisation of Ukraine and Europe as a whole. A detailed assessment of UGS in Ukraine was carried out in the framework of the EU Horizon 2020 project Hystories, which is about the possibility of the geological storage of H₂. A database of the available geological data on reservoir and caprock properties was compiled and standardised (reservoir geometry, petrophysics, tectonics, and reservoir fluids). General environmental criteria were defined in terms of geology and surface context. The total estimated H₂ energy storage capacity in 13 studied UGS facilities is about 89.8 TWh, with 459.6 and 228.2 Mt of H₂ using the total (cushion and working gas) and working gas volumes, respectively. The estimated optimistic and conservative CO₂ storage capacities in the 13 studied UGS facilities are about 37.6/18.8 Gt, respectively. The largest and deepest UGS facilities are favourable for H₂ and CO₂ storage, while shallower UGS facilities are suitable only for H₂ storage. Studies could be conducted to determine if CO₂ and H₂ storage could be applied in synergy with CO₂ being used as a cushion gas for H₂ storage. The underground storage of H₂ and CO₂ plays key roles in reducing greenhouse gas emissions and supporting clean energy while enhancing energy security. Increasing the share of renewable energy and integrating sustainable development across various sectors of the economy is crucial for achieving climate goals. Full article

A transition to low-carbon energy sources is pivotal in addressing the escalating challenges of climate change and environmental degradation. Solar energy, particularly photovoltaic (PV) technology, stands out as a prominent solution because of its potential for clean and sustainable electricity generation with minimal greenhouse gas emissions. However, accurately assessing the carbon footprint of PV modules is essential for guiding policy, industry practices, and research. This paper reviews the state of the current literature and highlights the difficulties in estimating the carbon footprint of PV modules manufactured in China. It emphasises the inherent limitations of Process-Based Life Cycle Assessments (PLCAs), including data collection challenges, dynamic environmental changes, and subjective methodological choices. Through the case study of Ecoinvent 3.7 the study underscores the need for improved transparency, standardisation, and reproducibility in Life Cycle Assessments (LCAs) to provide more accurate and reliable environmental impact evaluations. Full article

Background. Given the complexity of lung cancer surgery, this study aims to provide an overview of hospitals authorised to perform lung cancer surgery in France, and to assess their performance focusing on severe post-operative complications and 30-day in-hospital mortality based on the Clavien–Dindo classification (grade > 2). Methods. We included all patients (n = 64,304) who underwent pulmonary resection for lung cancer from the French hospital database (2019–2023). To quantify variations within regions, we used the ratio of the 90th to the 10th decile of the standardised outcome rate of the hospitals. We used a hierarchical logistic regression model to estimate the adjusted odds ratio (aOR) according to the number of annual procedures. We then used the results of this modelling to see how the standardised rate estimate might evolve after simulating a new organisation of hospitals authorised to perform this surgery. Results. A total of 18,151 patients (28%) had severe complications (Clavien–Dindo > 2). Compared to hospital performing less than 100 procedures/year, the risk of severe complications was significantly reduced for hospitals performing between 101 and 250 procedures/year (aOR = 0.83 [0.77–0.89]) and more than 250 procedures/year (aOR = 0.85 [0.77–0.93]). A simulation of hospital reorganisation, using 100 procedures/year as the threshold value, showed that 477 severe complications could have been prevented over the period. Conclusions. This study shows inequalities in performance indicators between hospitals in each French region. The influence of the volume of activity raises questions about the need to restructure the offer of care for complex surgeries, such as lung cancer surgery. Full article