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A new genus and species of trematode, Paratestophis gelicolus gen. nov., sp. nov., is described from the large intestine of the rainbow water snake, Enhydris enhydris, collected from several provinces in southern Thailand. Morphological analyses reveal distinct characteristics that differentiate P. gelicolus gen. nov., sp. nov. from related echinochasmid taxa, specifically its elongated bottle-shaped body, presence of 22 collar spines, parallel testes and parasitism of snakes–features not observed in other echinochasmid genera. Multi-marker phylogenetic analyses (28S rRNA, 18S rRNA, ITS2 and COI) strongly support its taxonomic placement within Echinochasmidae while confirming its genetic distinction from known genera such as Echinochasmus, Stephanoprora, and Microparyphium, thereby warranting the establishment of Paratestophis gen. nov. The species exhibited a 24% prevalence of infection (25/106) in E. enhydris, and was found co-infecting with four other helminths, including Tanqua siamensis, Encyclometra bungara, and two additional trematode species currently under examination, all occupy distinct ecological niches. Principal Component Analysis based on 19 morphological characters revealed morphological homogeneity among the specimens. This study represents the first record of a new genus and species within Echinochasmidae infecting snakes, and provides an updated systematic framework for the family, including a revised key to genera. The findings emphasise the need for further research into parasite taxonomy, host specificity and evolutionary relationships in Southeast Asian ecosystems.
Begonia larorum is a threatened plant species endemic to Alcatrazes Island, south-east Brazil, which had not been recorded since its discovery in the 1920s. Here we report its rediscovery after more than a century since the first and only collection. In February 2024, we found a single individual in the forest understorey and successfully propagated it ex situ. Later that year we located a population of 19 individuals in an open area of vegetation prone to fires and invasive grasses and we obtained the first colour photographs of the species. Given its restricted range and the threats to its survival, we recommend the species be assessed for inclusion on the global IUCN Red List in addition to maintaining its Critically Endangered status at national level on the Red List of Brazilian Flora. We also propose in situ and ex situ conservation actions.
We introduce basic principles of the statistical analysis of hemodynamic imaging data, including concepts like the General Linear Model, data cleaning, efficiency, parametric hypothesis testing, correction for multiple comparisons, first- and second-level analyses, region of interest analysis, double dipping, and the issue of statistical inference with reference to forward and reverse inferences.
In philosophy of science, Mach’s account of thought experiments is more often described as relevant for contemporary usage than Ørsted’s. In this chapter, I survey recent Kantian accounts of thought experiment, arguing that the leading views inspired by Kant in philosophy of science remain broadly empiricist. This tendency may be due to their focus primarily on the role of thought experiments in the sciences. In later chapters, I will argue – against recent Kantian views – that Kant understood cognition more broadly to include not only sensory perception but also mathematical construction. Acknowledging that cognition does not always require empirical fulfillment opens new ways of understanding how thought experiments work in philosophy, which may rightly differ from their use in the sciences.
Chapter 10 explains how electroencephalography (EEG) and magnetoencephalography (MEG) work. EEG and MEG equipment is explained component by component in plain language. EEG and MEG signal acquisition procedures are explained along with the basics of digital signal processing to bridge the conceptual understanding of the signals to practical EEG and MEG data analysis. In addition to traditional methods, dry electrode EEG and optically pumped magnetometer MEG (OPM-MEG) methods are introduced.
To describe the drivers of dietary behaviours among young South Asian adults (18–35 years) in Australia and examine the influence of acculturation and the host environment in shaping these behaviours.
Design:
A cross-sectional qualitative study design was used to collect data through Zoom focus groups. The analysis of the qualitative data followed Vears and Gilliam’s inductive content analysis approach. Demographic data were presented descriptively, and the findings were reported in accordance with the standard for reporting qualitative research.
Setting:
Sydney, New South Wales, Australia.
Participants:
A total of twenty-one young South Asian migrants (aged 18–35 years), mostly from India and Pakistan, participated in four online focus groups.
Results:
Six main themes were identified, highlighting the complex interplay of acculturation, cultural identity, family influence and other socio-economic factors in shaping dietary behaviours. (1) Acculturation and exposure to diverse cuisines, (2) interplay between religion and culture during special occasions, (3) influence of social networks and community norms, (4) structural and practical constraints shaping food choices, (5) shifting perceptions around healthy eating and (6) empowerment through knowledge. Participants reported incorporating Western and multicultural cuisines, often balancing convenience and cultural preferences.
Conclusions:
Numerous drivers, including but not limited to acculturation and the host environment, influence the dietary behaviours of young South Asian adults in Australia. Despite limitations in representativeness, the study provides valuable insights highlighting the need for inclusive health promotion efforts for Australia’s growing South Asian population.
In this chapter we discuss how multiple imaging modalities can be conbined and the benefits of such combinations. We illustrate such multi-modal imaging with several examples, including the fusion of fMRI and MEG, simultaneous acquisition of EEG and fMRI, source localization, the combination of analyses of functional connectivity and multi-voxel pattern analyses, and potential benefits of multi-modal imaging for clinical diagnostics.
We discuss how to design a hemodynamic imaging experiment. We present the main designs, including block and event-related designs. We discuss the subtraction method, and consider the relevance of baseline conditions.
This concluding chapter discusses the potential and limitations of the wide diversity of neuroimaging methods. The introductory chapter I was going into such questions but does not yet provide an informed answer because at that point the reader does not yet have any technical knowledge. It is relevant to come back to some of the earlier examples and provide a more in-depth and informed evaluation of neuroimaging. This concluding chapter avoids most technicalities (which received ample attention in the other chapters) and focuses more upon the broader picture.
Chapter 3 covers several structural imaging methods, including T1-weighted imaging, diffusion-weighted imaging (DWI), and magnetic resonance spectroscopy.
The Proetida likely represent the only surviving trilobite clade past the Devonian mass extinction event(s). Although members of order Proetida have long been studied, the global phylogenetic relationships across this pivotal time are still unresolved. I used a Bayesian phylogenetic approach to construct a subordinal level tree for members within the superfamily Proetoidea. Two models, a relaxed and strict clock model, were compared and used to assess past reconstructions of clades within the order. The trees from both models highlight key relationships among proetides across the Devonian and show paraphyly in groups that have been considered monophyletic in the past. Trees from both models also suggest that major groups, e.g., the genus Gerastos Goldfuss, 1843 and the family Phillispidae (which represents the most diverse post-Devonian proetide group under current taxonomic schemes) are polyphyletic. This in turn suggests, in a paleobiological context, a more complex pattern of survivorship over the Late Devonian than previously suggested as well as pervasive parallelisms toward certain ‘Gerastos’ or ‘phillipsid’ morphotypes.
Algal beds are biodiversity hotspots in coastal ecosystems, forming complex food webs based on seaweeds. Epifauna serve as important indicators of algal productivity and environmental change, interacting closely with their host seaweeds. This study compared the composition of epifaunal assemblages associated with different seaweed species in the Noto Peninsula, Japan, to elucidate their characteristics. A survey of epifaunal communities on 13 seaweed species around Tsukumo Bay revealed significant differences in abundance and composition among species. Epifaunal abundance was particularly high in Sargassum siliquastrum and Sargassum patens. Differences in assemblage structures were observed among seaweed species and sampling sites. Fucales seaweeds harboured more diverse epifaunal communities compared with Laminariales species. Variations in epifaunal composition among taxa suggest that interactions with host seaweed species play a crucial role in shaping assemblage structure.
We investigated variations in biomass among oil palm progenies and quantified K and Mg uptake by assessing the distribution pattern of these minerals throughout plant organs, including roots and bunches. A split-plot trial was set up in which potassium chloride (KCl: 60% K2O) and kieserite (MgSO4: 27% MgO) were applied as main factors, each with three levels: 0, 1.5, 3.0 kg KCl palm˗1 year˗1; and 0, 0.75, 1.5 kg MgSO4 palm˗1 year˗1. Each fertiliser combination was applied to subplots containing four oil palm progenies (C1 to C4). Samples of oil palm organs were collected to assess their dry matter (DM) and mineral contents. Oil palm biomass was significantly different among progenies, with C3 having the highest biomass (268 kg DM palm˗1). K and Mg contents in the entire palm also varied among progenies. C2 and C3 progenies exhibited the highest amounts of K (3.81 and 3.86 kg K palm˗1, respectively), whereas C1 and C4 displayed 3.35 and 3.31 kg K palm˗1, respectively. However, C4 progeny showed the highest leaflet K concentration, revealing the dilution phenomenon and the inequal mineral distribution among palm organs. Progeny C3 had the highest Mg content (0.54 kg palm˗1) and was the most productive, exporting more K and Mg through harvest than other progenies. Our results indicate genetic variability in K and Mg uptake by oil palm, and planting materials with high K and Mg uptake efficiency would be valuable for farmers and breeders.
Colostrum (CM) and transition milk (TM) are crucial for neonatal development but knowledge about the changes in their composition in dairy goats is still limited. The aim of this study was to characterise the immunological, lipid and microbial changes from CM to TM in Guanzhong dairy goats, an indigenous, highly productive Chinese breed. Milk samples were collected from eight primiparous goats at day 0 (CM) and day 7 (TM) postpartum. Immunoglobulin concentrations (IgG, IgA, IgM) were measured by ELISA, long-chain saturated fatty acids (FA) were analysed by gas chromatography, and bacterial communities were profiled by 16S rRNA gene amplicon sequencing. Microbial functions were inferred using PICRUSt2 (Phylogenetic Investigation of Communities by Reconstruction of Unobserved States) software based on KEGG (Kyoto Encyclopedia of Genes and Genomes) orthologs. Immunoglobulin concentrations declined significantly from CM to TM, reflecting a transition from immunoprotection to food supply. The TM had increased concentrations of long-chain saturated FA, particularly palmitic acid (C16:0) and stearic acid (C18:0) and higher concentrations of branched-chain FA, suggesting an adaptation to the growing energy demands of the newborn. Although overall microbial diversity was stable, taxonomic shifts were observed. CM was enriched in Emticicia, which may be involved in oligosaccharide degradation, while TM had higher abundance of Faecalibacterium, Ruminococcus and Salinicoccus, genera associated with SCFA production and intestinal development. Functional predictions indicated enrichment of cold shock and haem biosynthetic pathways in CM and enhanced carbohydrate degradation pathways in TM. Correlation analyses revealed relationships between specific FA and bacterial genera, suggesting interactions between host, microbes and nutrients that may influence milk functionality. This integrative analysis of milk components during early lactation provides new insights into the compositional and functional dynamics of goat milk.
This communication addresses the hypothesis that silver nanoparticles obtained by green synthesis (G-AgNPs), using an aqueous extract of chicory, have antibacterial activity against bovine mastitis-associated strains and may inhibit their adherence capacity. Bovine mastitis is among the diseases with the greatest economic impact worldwide. Multifactorial in nature, it is usually associated with infection caused by bacterial species such as Staphylococcus aureus, coagulase-negative staphylococci, Streptococcus uberis, and Escherichia coli. Antibiotics are currently the main line of treatment, but in order to offset the emergence of resistance, alternative compounds and nanomaterials are being researched for prevention and control. In this study, bacteria that cause bovine mastitis were molecularly identified by groEL gene PCR-RFLP. Then, G-AgNPs were produced using an aqueous extract of chicory as a reducing and stabilizing agent. The nanoparticles showed powerful antibacterial activity, but they did not seem to reduce the adherence of pathogens to MAC-T cells that had been preincubated with a sub-MIC concentration of G-AgNPs. Nevertheless, very low concentrations (21-30 pM) were needed for the antibacterial effect to take place, which makes G-AgNPs promising candidates for the control of bovine mastitis.
Cumin (Cuminum cyminum L.) is an annual herbaceous plant from the Apiaceae family, renowned for its medicinal and culinary applications as the second most popular spice globally after black pepper. Germination is a critical stage in the life cycle of plants, particularly for medicinal plants, as it determines successful establishment and productivity. This study explores the impact of ploidy levels (diploid and tetraploid) and genotype interactions on germination traits, seed morphology and early seedling growth in five selected cumin genotypes (YAR1, KBA4, SKD6, SIV8 and NKM9). Induction of tetraploidy significantly influenced germination percentage, rate, seed vigour index, and morphological traits. Notably, diploid genotypes exhibited higher germination percentages, while tetraploid SKD6 displayed the highest germination speed and seedling biomass, demonstrating genotype-specific ploidy effects. For the first time, root growth kinetics were analyzed, revealing distinct growth patterns between diploid and tetraploid seeds. Morphometric evaluations showed that tetraploid seeds and embryos were significantly larger, attributed to the ‘gigas effect’, which enhances storage reserves and seed vigour. However, challenges such as embryo-less seeds and variability in genotype responses to ploidy manipulation were observed. These findings underscore the importance of targeted breeding strategies that optimize genotype-ploidy interactions to improve seed quality, germination performance and early growth in cumin. By advancing our understanding of polyploidy’s role in shaping key agronomic traits, this study provides a foundation for sustainable cultivation practices and enhanced productivity of medicinal plants.