This research paper addresses the hypothesis that sequence-based long short-term memory (LSTM) architectures improve the prediction of the next DO (days open) relative to a feed-forward multi-layer perceptron and a Cox model under strictly temporally valid predictors. Modern dairy farming can heavily benefit from optimising ‘days open’ for profitability and animal welfare. Machine learning can forecast this metric, improving farm management, disease prevention and culling decisions. This study used a dataset of 16,472 breeding records. The study compared the performance of feed-forward neural networks and two types of recurrent neural networks (RNNs). The results showed that LSTM most accurately forecasted the next ‘days open’. This demonstrates that RNN models, due to their ability to capture temporal patterns in the data, significantly outperform feed-forward and traditional statistical methods in terms of mean absolute error and concordance.

Given the surging economic and health costs associated with childhood stunting, identifying its associated factors is crucial. This study therefore explores a key determinant of long-term nutritional status, women’s participation in household decision-making in the context of Pakistan. To empirically estimate this association, three-level modelling was employed by pooling the data from two recent nationally representative survey rounds PDHS 2012–13 and PDHS 2017–18. Multilevel analysis was better suited compared to traditional methods for robust estimates because of the hierarchical nature of the data. Women’s decision-making power was measured by formulating an index through factor analysis from the direct questions about women’s participation in household decisions. This study found a positive association between women’s decision-making power and children’s nutritional growth at the national level, with no significant changes across the survey years. However, this relationship was moderated by regional variations, which was more pronounced in Sindh and relatively modest in other regions. The sensitivity analysis showed that among the different decision-making domains, only women’s participation in large household purchases was significantly and positively associated with child linear growth. The insights of this research suggest that nutrition-oriented policies should also consider non-nutritional factors, like women’s decision-making power when designing projects for target population. Meanwhile, it is also crucial to recognize that decision-making power is a contextual factor and its effect on child nutritional growth may vary across regions.

Ultra-processed foods (UPFs), defined using frameworks such as NOVA, are increasingly linked to adverse health outcomes, driving interest in ways to identify and monitor their consumption. Artificial intelligence (AI) offers potential, yet it’s application in classifying UPFs remains underexamined. To address this gap, we conducted a scoping review mapping how AI has been used, focusing on techniques, input data, classification frameworks, accuracy, and application. Studies were eligible if peer-reviewed, published in English (2015–2025), and they applied AI approaches to assess or classify UPFs using recognised or study-specific frameworks. A systematic search in May 2025 across PubMed, Scopus, Medline, and CINAHL identified 954 unique records with eight ultimately meeting the inclusion criteria; one additional study was added in October following an updated search after peer review. Records were independently screened and extracted by two reviewers. Extracted data covered AI methods, input types, frameworks, outputs, validation, and context. Studies used diverse techniques, including random forest classifiers, large language models, and rule-based systems, applied across various contexts. Four studies explored practical settings: two assessed consumption or purchasing behaviours, and two developed substitution tools for healthier options. All relied on NOVA or modified versions to categorise processing. Several studies reported predictive accuracy, with F1 scores from 0.86 to 0.98, while another showed alignment between clusters and NOVA categories. Findings highlight the potential of AI tools to improve dietary monitoring and the need for further development of real-time methods and validation to support public health.

This study examined the metacercariae of trematodes in cnidarian jellyfish around Japan to demonstrate the importance of the jellyfish as the second intermediate or paratenic hosts. Trematodes were sampled from cnidarian jellyfish in seven coastal regions of Japan between 2024 and 2025. Trematodes (adults and metacercariae) were also obtained from marine fish and arrow worms and included for data comparisons. DNA barcoding was used for the species identification of metacercariae in the jellyfish and for elucidating their partial life cycles. Eight cnidarian species (245 individuals) were sampled, with metacercarial infection detected in seven host species. Based on morphological and molecular analyses, the metacercariae were classified into nine species belonging to three families, Accacoeliidae, Hemiuridae, and Lepocreadiidae. Six of these species were identified as the same species of adults isolated from fish hosts around Japan, although species names of two of the six remained unclear. The remaining three trematode species were assumed to belong to Lepocreadiidae, a major group of fish trematodes. These findings indicate that cnidarian jellyfish are important intermediate or paratenic hosts of fish trematodes in Japanese waters, as has been reported in other areas in previous studies. Moreover, a metacercaria occasionally detected in an arrow worm was identified as the same species as those in jellyfish, suggesting predator–prey relationships between these hosts. The study also synonymised Tetrochetus hamadai Fukui and Ogata, 1935, T. aluterae (Hanson, 1955), and T. mitenevi Zubchenko, 1978, with T. coryphaenae Yamaguti, 1934, based on molecular and morphological data.

Cylicospirura is a genus of spirocercid nematodes infecting felids around the globe. Eleven species have been characterised, with C. felineus and C. subaequalis being reported in jaguarundis, Herpailurus yagouaroundi, from Brazil. Herein, we described spirocercid reddish worms collected from three jaguarundis from Costa Rica by using hierarchical clustering and dendrogram plots of morphological characters reported from our specimens and compared to other Cylicospirura spp., histopathological observations of associated lesions, and phylogenetic analyses of both mitochondrial and ribosomal loci. Nematodes were found within stomach nodules located in the submucosa causing a pyogranulomatous, multifocal, nodular, and sclerosing gastritis. In addition, the collected worms differed from their congeners by having a longer body and smaller muscular and glandular oesophagus, subsequently showing lower total oesophagus to body length percentage and ratio of glandular to muscular oesophagus. Cytochrome oxidase subunit 1 and internal transcribed spacer 1 analyses revealed that worms were 8.33 to 8.66% different from C. felineus, C. subaequalis, or C. petrowi and 15.2 to 15.4% different from C. petrowi, respectively. Moreover, sequences derived from collected worms clustered separately from other Cylicospirura spp. available in GenBank® in the phylogenetic trees. By using an integrative taxonomy approach, the nematodes collected from stomach nodules of jaguarundis were described as a new taxon, for which the name Cylicospirura wishkai sp. nov. is proposed.

Collagen supplementation (CS) has emerged as a promising therapeutic approach with potential benefits for managing metabolic syndrome (MetS)-related risk factors. This narrative review integrates human evidence with preclinical mechanistic insights into the metabolic actions of collagen. Anti-obesity effects are attributed to increased satiety, gastric distension, GLP-1 secretion, and enhanced fatty acid oxidation mediated by PPAR-α activation and AMPK signalling. In type 2 diabetes, collagen improves glucose homeostasis by enhancing insulin sensitivity, upregulating GLUT-4, and inhibiting DPP-IV, thereby prolonging incretin activity (GLP-1, GIP) and supporting β-cell function. The antihypertensive effect of collagen peptides (CP) is primarily linked to angiotensin-converting enzyme (ACE) inhibition, which reduces angiotensin II levels while promoting bradykinin-mediated vasodilation and nitric oxide release. Additionally, CP has shown potential in improving lipid profiles by modulating PPAR-γ and AMPK, increasing HDL-C and reducing LDL-C and triglycerides. Emerging evidence also supports a role for collagen in restoring gut microbiota balance, increasing short-chain fatty acid production, and reducing pro-inflammatory and oxidative pathways, contributing to systemic metabolic regulation. Overall, these findings suggest CS exerts multi-targeted benefits on MetS components through modulation of endocrine, inflammatory, and metabolic pathways. Nevertheless, larger, long-term clinical trials are warranted to determine optimal dosing regimens, evaluate long-term efficacy, and further elucidate microbiota-mediated effects.

Individuals with severe mental illness face a significantly reduced life expectancy compared to the general population. Addressing key modifiable risk factors is essential to reduce these alarming rates of mortality in this population. Nutritional psychiatry has emerged as an important field of research, highlighting the important role of nutrition on mental health outcomes. However, individuals with severe mental illness often encounter barriers to healthy eating, including poor diet quality, medication-related side effects such as increased appetite and weight gain, food insecurity, and limited autonomy over food choices.

While nutrition interventions play a key role in improving health outcomes and should be a standard part of care, their implementation remains challenging. Digital technology presents a promising alternative support model, with the potential to address many of the structural and attitudinal barriers experienced by this population. Nonetheless, issues such as digital exclusion and low digital literacy persist. Integrating public and patient involvement, along with behavioural science frameworks, into the design and delivery of digital nutrition interventions can improve their relevance, acceptability, and impact. This review discusses the current and potential role of digital nutrition interventions for individuals with severe mental illness, examining insights, challenges, and future directions to inform research and practice.

Sarcopenia, the age-related decline in muscle mass and strength, is a contributor to frailty and reduced quality of life. Emerging evidence suggests an emerging role of the gut microbiome in modulating skeletal muscle through microbial species and metabolites, such as short-chain fatty acids (SCFAs), potentially influencing inflammation, nutrient absorption, and glucose and protein metabolism. This review considers the potential of probiotics, prebiotics, and synbiotics as interventions to mitigate sarcopenia based on animal and human studies, while providing a critique of present barriers that need to be addressed. Preclinical models, including germ-free mice and faecal microbiota transplantation, demonstrate that gut microbiota from healthy or young donors may enhance overall muscle health via reductions in inflammatory and muscle atrophy markers. Limited human studies show that probiotics such as Lactobacillus and Bifidobacterium could improve branched-chain amino acid (BCAA) bioavailability and potentially sarcopenia indices, although findings have been inconsistent. Particularly, challenges including inconsistent microbial assessments, lack of dietary control and interindividual variability due to diet, age, genetics, comorbidities and medications may hinder progress in this field. Delivery methods (e.g. capsules, fermented foods or fortified products) could further complicate efficacy through probiotic stability and dietary restrictions in older adults. Standardised protocols [e.g. Strengthening The Organisation and Reporting of Microbiome Studies (STORMS) checklist] and multi-omics approaches may be critical to address these limitations and identify microbial signatures linked to sarcopenia outcomes. While preclinical evidence highlights mechanistic pathways pertinent to amino acid metabolism, translating findings to humans requires rigorous experimental trials.

This study aimed to evaluate the impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and inactivated virus vaccination on intracytoplasmic sperm injection (ICSI) outcomes in infertile couples. A retrospective case–control study was conducted at the Royan Institute from August 2020 to March 2022. The study included 90 couples in the COVID-19 infection phase and 31 in the vaccination phase. A total of 30 infected but unvaccinated couples were compared to a control group of 60 couples with no COVID-19 infection or vaccination history. Additionally, 31 couples underwent treatment before and after receiving the Sinopharm inactivated vaccine. Key variables analysed included sperm parameters (concentration, motility, progressive motility and morphology), ovarian parameters (antral follicle count, oocyte retrieval), embryological outcomes and pregnancy outcomes. SARS-CoV-2 infection significantly reduced sperm motility (P = 0.02) and progressive motility (P = 0.01) compared to controls. Sperm concentration and morphology showed non-significant declines. Post-vaccination analysis revealed similar but statistically insignificant changes in sperm parameters. Ovarian stimulation parameters and embryological outcomes remained unaffected by both infection and vaccination. Although biochemical, clinical pregnancy and live birth rates were lower among the infected group, these differences did not reach statistical significance (p = 0.16, 0.08 and 0.09). SARS-CoV-2 infection has been associated with impaired sperm progressive motility, which may negatively influence ICSI outcomes. In contrast, vaccination with an inactivated virus does not appear to impact fertility outcomes. These findings provide crucial guidance for physicians and infertile couples managing treatments during and after the pandemic, suggesting the need for extended recovery periods before ART procedures following COVID-19 infection.

Deterministic and stochastic processes are of great importance in influencing the composition of communities. Here, we tested if deterministic and stochastic processes have the same force of influence on functional traits of tiger moth communities. Specifically, we hypothesised that the functional traits of the tribe Arctiini would be more strongly influenced by stochastic processes (associated with spatial variables), given that these moths are primarily diet and habitat generalists within a highly diverse clade. They also exhibit high morphological trait dissimilarity and are capable of occupying a wide range of vegetation habitats. On the other hand, we hypothesised that the functional traits of the tribe Lithosiini would be more influenced by deterministic processes (associated with environmental variables), given that these moths are primarily diet and habitat specialist moths and tend to occur in more specific vegetation types. In agreement with our hypotheses, the functional traits of Arctiini species were better explained by variables related to stochasticity, while the functional traits of Lithosiini were explained by deterministic processes only. Thus, the processes shaping moth distributions across communities may vary according to species’ functional traits and interspecific relationships.

In a normal pregnancy, glucocorticoids (GC), such as cortisol, play an essential role in early heart development. GC concentrations surge in late gestation to facilitate the maturation of fetal systems in preparation for birth. However, pregnancy complications related to stress, lifestyle factors, disease, and commonly used antenatal care treatments (GC therapy and artificial reproductive technology) can lead to prematurely increased GC concentrations that are detrimental to the heart before it is mature enough to benefit. These findings underpin the hypothesis that GC play a double-edged role that benefits normal heart development but is potentially harmful when dysregulated. However, the mechanisms by which both physiological and pathological elevations in GC concentrations influence the fetal cardiometabolic pathways that lead to detrimental long-term cardiovascular outcomes remain unclear. This review will, firstly, describe how cortisol regulates different aspects of cardiac development and, secondly, compare findings from different animal models that have provided mechanistic insight into how excess cortisol/GC during pregnancy impacts cardiac health across the life course.

There is substantial international variation in recommended vitamin C intake levels. In the United States, the recommendation is 90 mg/day for men and 75 mg/day for women, while in the United Kingdom (UK), the current recommendation – established in 1991 – is only 40 mg/day for adults. This UK level was based on the 1953 Sheffield study, which found that 10 mg/day prevents scurvy, with 40 mg/day chosen as the recommended level for yielding somewhat higher plasma levels. In this commentary, we argue that the UK recommendation overlooked key evidence available at the time. Specifically, at least six controlled trials published before 1991 reported benefits from vitamin C supplementation in participants whose baseline vitamin C intake was already 40 mg/day or higher. One randomized controlled trial, published in 1993, found benefits from vitamin C supplementation even at a baseline intake of about 500 mg/day; however, this trial involved ultramarathon runners, and the findings should not be broadly generalised. Nonetheless, such results challenge the assumption that 40 mg/day is universally adequate to maintain full health. We also highlight that the UK recommendations were narrowly focused on preventing dermatological symptoms of scurvy, despite strong evidence – even at the time – that vitamin C deficiency can also cause cardiac dysfunction and greater morbidity due to respiratory infections. We conclude that the current UK vitamin C recommendation should be re-evaluated in light of controlled trial evidence and broader clinical outcomes.

American sloughgrass [Beckmannia syzigachne (Steud.) Fernald] is a troublesome wheat weed. We tested the germination of B. syzigachne seeds under different temperatures with growth chambers (12 h dark/12 h light, 12000 lx), simulating those during the sowing periods of early- (25/15 C), ordinary- (20/10 C), late- (15/5 C), and very late-sown winter wheat (5/0 C). We also tested the accumulated temperatures required for seedling growth to the 2- to 5-leaf stages, using 225 populations collected from wheat fields in eastern China. The average 1000-seed weight of the 225 populations was 1.2 ± 0.01 g. Overall populations tested did not show seed germination after 21 days of treatment (DAT) at 5/0 C or constant 30 C. At 14 DAT with 25/15 C, 20/10 C, and 15/5 C, the mean germination rates were 85.4%, 6.4%, and 0.1%, respectively. These rates increased to 99.9%, 58.6%, and 21.7% at 21 DAT. Populations collected from lower latitude regions germinated significantly faster (P < 0.05) under optimal conditions. Accumulated temperatures required for growing the 2nd, 3rd, 4th, and 5th leaf were 139.0 ± 1.0, 127.8 ± 1.0, 115.6 ± 1.0, and 98.9 ± 0.7 C, which showed a significant decreasing trend. The narrower optimal temperature range for B. syzigachne seed germination and higher thermal requirements for early seedling growth constrain its distributions, while the heterogeneous seed germination facilitates its infestations in wheat planting areas in eastern China.

We report the first detections of Otiorhynchus albidus Stierlin (Coleoptera: Curculionidae) in North America. The first specimens of O. albidus were found inside a home in Kelowna, British Columbia, Canada, in June 2022, and additional specimens from the same location were collected throughout 2023 and 2024. Otiorhynchus albidus is of European origin. It is known to attack tree fruits and ornamental plants. Otiorhynchus albidus sometimes co-occurred with O. raucus (Fabricius), an already established weevil species in British Columbia that is a pest of tree fruits, grapes, vegetables, and ornamental plants. To test different surveillance methods and understand the seasonal occurrence of O. albidus, surveys for adult weevils were conducted in 2023 and 2024 with pitfall traps (outside the home) and sticky traps (inside and outside the home) in 2023. Both O. albidus and O. raucus were recovered with pitfall and sticky traps and were found in both years. We provide a key and reference DNA barcodes (from the cytochrome c oxidase subunit 1 region) to distinguish O. albidus from similar species present in Canada. Otiorhynchus albidus has the potential to become a pest of tree fruits and ornamental plants in North America, as well as a nuisance pest for homeowners.