Search Results (1,689)

The quantity and bioavailability of iron (Fe) in commercial chicken eggs have been subject to ongoing debate. Understanding the chemical form of Fe in eggs, and how different laying conditions or cooking environments may alter chemical form is important to guide future studies of Fe bioavailability. To address these unanswered questions, this study aimed to accurately quantify and characterise Fe speciation (including haem and non-haem Fe) in egg yolk, albumen and whole eggs (mixed yolk and albumen), in both raw and cooked eggs. Eggs were obtained from four different hen housing systems: free-range, cage, barn and organic. Total Fe was measured using microwave plasma atomic emission spectrometry, and X-ray absorption near-edge structure spectroscopy was used to quantify the relative proportions of different chemical forms of Fe (Fe speciation). These analyses were conducted on raw albumen, yolk, and whole egg samples (combined yolk and albumen) from eggs produced across all housing systems, as well as on baked and boiled albumen, yolk, and whole egg samples from free-range eggs. Haem Fe was not detected by the analytical methods used, confirming that eggs are not a nutritionally relevant source of haem Fe. Mixing yolk and albumen alters Fe speciation, decreasing relative phosphate coordination of Fe and increasing Fe associated with protein carboxylate and chloride groups. Subsequent baking causes a significant reduction in carboxylate- and chloride-bound Fe, accompanied by an increase in sulfur-bound Fe. Boiling eggs was found to have minimal effects on Fe speciation. Despite contributing little Fe, albumen plays an important role in modulating Fe speciation, which may subsequently impact bioavailability. Cooking eggs changes the Fe speciation, particularly increasing the amount of Fe–S coordination, which should be taken into consideration for future study design when assessing Fe bioavailability. Full article

Geopolitical instability is increasingly affecting the development and deployment of artificial intelligence (AI) infrastructure by disrupting energy systems, semiconductor supply chains, and digital infrastructure networks. While existing research has explored geopolitical risk, digital sovereignty, and AI governance, little attention has been paid to understanding how geopolitical factors are integrated into the valuation and strategic allocation of AI infrastructure. This theory-building study introduces the concept of geopolitical repricing, defined as the process through which firms, investors, governments, and infrastructure operators revise their assessment of the economic value, risk profile, and strategic importance of AI infrastructure in response to geopolitical instability. Drawing on literature on geopolitical risk, AI infrastructure, digital sovereignty, geo-economics, and investment under uncertainty, the paper develops a four-stage analytical framework that links geopolitical shocks, transmission channels, revaluation, and strategic reallocation. The framework identifies three interconnected transmission channels: energy volatility, supply-chain disruption, and infrastructure vulnerability, and explains how their cumulative effects may influence valuation judgments, investment criteria, and infrastructure allocation decisions. The study further proposes a set of theoretically derived propositions and operational indicators to guide future empirical research. The paper contributes to the emerging political economy of AI by providing a conceptual explanation of how geopolitical instability may shape infrastructure valuation beyond the immediate effects of disruption. It lays the groundwork for future research on the connections between geopolitical factors, infrastructure strategies, and AI development. Full article

Among myrmecophilous insects, beetles represent the most specialised and diverse group. Myrmecophily is a complex evolutionary strategy encompassing a wide spectrum of interactions with ants, ranging from occasional to obligate relationships, and from mutualistic associations (e.g., trophobionts) to fully parasitic symbioses (social parasites). One of the most remarkable examples of an obligate ant parasite is Paussus favieri Fairmaire,1851 (Carabidae, Paussinae, Paussini), a West-Mediterranean ant-nest beetle. This species spends most of its life inside the nests of Pheidole pallidula (Nylander, 1849) (Hymenoptera, Formicidae), where it exploits the colony’s most valuable resources (ant larvae, pupae, and tenerals) through a suite of sophisticated chemical and structural adaptations that allow it to evade detection and integrate seamlessly into the host colony. For these reasons, P. favieri has recently emerged as a key model organism for studying host–parasite interactions in eusocial systems. In this study, we investigated possible correlations between the nervous system of P. favieri and its remarkable morphological and behavioural adaptations, shedding light on how an extreme environment such as the ant nest may have shaped the beetle’s brain. Our results, although requiring more in-depth analysis, reveal an exceptional development of the central body and the antennal lobes, which rank among the largest recorded across all insect species studied to date. We also report two previously undescribed morphological asymmetries affecting the optic lobes and mushroom bodies. Together, these findings provide new insights into the neuroanatomy of carabid beetles and, more broadly, into the biology of a unique model of ant parasitism, advancing our understanding of the evolutionary adaptations that characterise the highly specialised Paussinae subfamily, laying down the basis for further analysis. Full article

Background/Objectives: Shashen Maidong Decoction (SMD) has a long history of use within the traditional Chinese medicine (TCM) system and is currently employed in modern clinical practice for the treatment of various diseases. The characterization of the chemical constituents of TCM drugs is a prerequisite and foundation for research into bioactive compounds and quality control. However, no study has yet undertaken a comprehensive identification of its chemical constituents. Therefore, it is necessary to establish suitable analytical methods to comprehensively and systematically characterize the chemical constituents of SMD. Methods: Ultra-performance liquid chromatography-quadrupole-electrostatic field orbitrap high-resolution mass spectrometry (UHPLC-Q Exactive orbitrap HRMS) and the Global Natural Products Social Molecular Networking (GNPS) technology were employed. The chemical constituents in SMD were systematically identified by comparing mass spectrometry data with reference standards, databases and relevant literature, and by analyzing mass spectrometry fragmentation patterns. Results: A total of 86 compounds were identified in SMD, including 27 flavonoids, 2 homoisoflavonoids, 34 organic acids, 2 alkaloids, 4 amino acids, 5 saccharides, 3 triterpenes and 9 other constituents. Conclusions: This study represents the first relatively comprehensive and systematic characterization of the chemical constituents in SMD, enriching modern understanding of SMD and laying the foundation for the identification of bioactive compounds, the elucidation of mechanisms of action, and further development and utilization. Full article

Aging is accompanied by complex structural and functional immune system changes driven by genomic instability, epigenetic alterations, mitochondrial dysfunction, telomere attrition, loss of proteostasis, deregulated nutrient sensing, and the accumulation of senescent cells exhibiting a senescence-associated secretory phenotype, which altogether lead to severe consequences including altered antimicrobial defense, the overproduction of autoantibodies, and chronic, low-grade inflammation (inflammaging). In this article, we summarize age-related alterations in the function of primary and secondary lymphoid organs, including the bone marrow, thymus, spleen, and lymph nodes. The involution of these organs leads to impaired hematopoiesis, reduced production of naïve lymphocytes, and immune microenvironment disruption. We also describe aging-related impairment of the activity of neutrophils, macrophages, dendritic cells and natural killer cells, as well as dysregulation of T and B lymphocyte responses. Specifically, these alterations include a decline in naïve cell populations, an accumulation of memory and exhausted cells, and a reduction in the diversity of antigen receptors. Consequently, older individuals exhibit increased susceptibility to infections, cancer, and autoimmune diseases, along with diminished vaccine efficacy. Understanding the mechanisms underlying immune aging could lay the foundation for developing therapeutic strategies and lifestyle interventions to mitigate the adverse effects of this unfavorable process. Full article

Predicting canopy traits non-destructively is important for understanding crop growth and improving phenotyping efficiency. Hyperspectral reflectance provides detailed spectral information, but the role of band selection in regression-based trait prediction at the canopy scale remains unclear. In this study, we evaluated the effects of different band-selection algorithms on the prediction accuracy of aboveground biomass (AGB), leaf area index (LAI), and canopy cover (CC) in soybeans using canopy hyperspectral reflectance in the visible to near-infrared (VNIR) range from 501 to 801 nm. The dataset included multiple sites, years, cultivars, and irrigation treatments. We compared a full-band partial least squares regression (PLS) model with three band-selection methods (PLS-Variable Importance in Projection (VIP), Bootstrapped least absolute shrinkage and selection operator (LASSO) (BoLASSO), and an ensemble approach). Model performance was assessed using Kennard–Stone validation and leave-one-year-out cross-validation. The results showed that the effectiveness of band selection depended on the target trait. Full-band PLS performed well for AGB under Kennard–Stone validation, whereas BoLASSO achieved comparable accuracy to PLS for LAI and CC using a reduced number of selected bands. Leave-one-year-out cross-validation showed that year-to-year transferability was more difficult for AGB than for LAI and CC. The selected wavelengths were located mainly in the visible, red-edge, and near-infrared regions. These results indicate that band-selection strategies should be tailored to the target trait and that selected VNIR bands can provide candidate spectral regions for simplified sensing of soybean canopy traits. Full article

The Droplets Triboelectric Nanogenerator (DTENG) possess distinctive merits in harvesting ambient hydropower into usable electricity. Nevertheless, droplet spreading, contact separation behavior, and dynamic interfacial interactions on insulating film surfaces are extremely sensitive to external environmental factors, giving rise to complicated nonlinear output characteristics. Herein, this work reports a droplet-driven TENG based on fluorinated ethylene propylene (FEP) thin films. We systematically explore how electrode geometry, droplet falling height, substrate inclination angle, and droplet flow rate modulate electrical output performance, and further clarify the fluid-triboelectric electron transfer between droplet hydrodynamic evolution and electric signal generation. Notably, we identify the retraction current during droplet recession, a signal largely neglected in previous solid–liquid TENG research, which complements the fundamental mechanism of interfacial charge transfer. This work not only provides a systematic experimental basis for understanding the working mechanism of DTENG, but also lays a theoretical and practical foundation for developing efficient and controllable water energy collection and self-powered sensor systems. Full article

Commonly occurring polychlorinated biphenyls (PCBs) in the environment have been linked to a broad range of adverse toxicological effects in both animals and humans. In this study, in vitro, in silico, and in vivo models were used to investigate the surface interactions of PCBs with green-engineered clays (GECs). Earlier studies showed that these GECs significantly reduced the toxicities of important planar aromatic chemicals such as benzene and aflatoxin B₁ along with ochratoxin A, a chlorinated aromatic chemical. The overall objective for this study was to show that GECs could tightly adsorb PCBs, resulting in a decrease in toxicity of a commercial PCB mixture (Aroclor 1260). Gastrointestinal pH and temperature were simulated in vitro, and the clay surface binding interactions of six PCBs were characterized using isothermal analyses. Molecular dynamics (MD) simulations were employed to provide atomistic understanding into PCB congener interactions with parent and chlorophyll-amended clays. To confirm the ability of GECs to protect a living organism, Aroclor 1260 was investigated using a well-established hydra bioassay. According to simulations, coplanar PCBs had an increased probability of binding to parent clay compared to non-coplanar ones, in line with experiments, due to their ability to lay flat on the clay surface. Chlorophyll amendments enhanced binding of all PCBs according to both experiments and computations. Within the simulations, chlorophyll amendments facilitated both coplanar as well as non-coplanar PCBs to directly bind to the clay and additionally interact with chlorophyll amendments, as well as to bind to chlorophyll amendments without necessarily interacting with the clay. Aroclor 1260 caused irreversible damage to hydra. At 0.05% inclusion, parent clay offered limited protection (20%) while GECs offered 55% to 65% protection, showing the advantage of GECs over parent clays. The findings of this study indicate that edible GECs adsorb PCBs, with the highest sorption associated with the coplanar congeners. Further studies are warranted to determine the application of GECs as potential disaster-response supplements in the diet to reduce the bioavailability of PCBs from contaminated food and water, especially following floods and other emergencies. Full article

The proglacial lakes of the Qinghai-Xizang Plateau serve as natural laboratories for studying microbial adaptation to extreme environments. However, research on the composition and functional characteristics of microorganisms in these settings remains limited. In this study, three typical high-altitude proglacial lakes in southern Xizang (Qudengnima proglacial lake, Gangbugou proglacial lake, and Qiangyong proglacial lake) were selected as research subjects. Bacterial community structure, diversity in the water and sediment of these lakes were analyzed using 16S rRNA sequencing. The results showed that Pseudomonadota, Actinomycetota, and Bacteroidota were highly abundant across all samples. The relative abundances of Cyanobacteriota and Acidobacteriota, however, exhibited distinct habitat preferences: Cyanobacteriota was enriched in the water, whereas Acidobacteriota was predominantly found in sediment. Alpha diversity analysis showed that both species diversity and richness in Qiangyong proglacial lake were significantly higher than those in the other proglacial lakes, and within the same lake, both diversity and richness in sediment were higher than in the water. Beta diversity analysis indicated that the bacterial community structures in sediment were similar across different proglacial lakes, whereas those in water varied considerably among the lakes. LEfSe analysis identified 94 biomarkers that exhibited significant differences among the different proglacial lake environments at an LDA score threshold of 4. Redundancy analysis revealed that pH, total phosphorus, and ammonium nitrogen were the physicochemical factors significantly influencing the bacterial community structure in the water, while total carbon was the key driver for the community in sediments. This study preliminarily characterized the bacterial community structure and diversity in high-altitude proglacial lakes on the southern Qinghai-Xizang Plateau, which lays a theoretical foundation for exploiting microbial resources and understanding their ecological functions in such extreme environments. Full article

In the context of global climate change, intensified salinity fluctuations driven by altered precipitation, extreme rainfall events, and typhoons have emerged as a major threat to coastal mollusk aquaculture. In this study, integrated physiological and transcriptomic analyses were performed to investigate the responses of Pacific abalone (DD, Haliotis discus hannai) and its hybrid (DF, H. discus hannai ♀ × H. fulgens ♂) to hypo- and hypersalinity stress. Two salinity breakpoints (BPS1 for hyposalinity, BPS2 for hypersalinity) were identified using heart rate monitoring to indicate the osmotic tolerance thresholds of the abalone. The BPS1 and BPS2 values did not differ significantly between the DD and DF groups. However, a subsequent 30-day culture trial confirmed that exposure to the salinity level corresponding to BPS1 significantly reduced growth and survival of both DD and DF groups. To explore the molecular mechanisms underlying these two salinity breakpoints in abalone, the transcriptomes of hemocytes and gill tissues were profiled under both stress conditions. Both hypo- and hypersalinity stress induced pronounced transcriptomic responses in abalone, accompanied by upregulated differentially expressed genes (DEGs) significantly enriched in pathways like TNF and NF-κB signaling, including genes like piap, diap2, birc7-a, birc2, and birc3. However, abalone exhibited more intense responses to hypersalinity stress, as reflected by a greater number of annotated differentially expressed genes (DEGs) and more complex transcriptional regulation. Overall, this study integrates physiological assessment based on heart rate monitoring, aquaculture trials, and transcriptomic analysis to advance our mechanistic understanding of osmotic stress adaptation in abalone, while laying a scientific foundation for the sustainable development of abalone aquaculture under global climate change. Full article

As a precious indigenous goose resource in China, the Zhedong white goose occupies an essential position in the domestic goose industry. However, this breed spontaneously enters a prolonged non-laying period of over two months per year, which greatly limits egg production capacity and restricts the economic development of the goose industry. Herein, this study systematically compared serum physiological indices and serum and fecal metabolome, as well as fecal microbial communities, between laying and non-laying Zhedong white geese, aiming to reveal the key regulatory mechanisms underlying reproductive stage transition. Physiological analyses indicated that non-laying geese had higher serum levels of GnRH, PRL, APOA, and T-AOC, whereas the concentrations of LH, E₂, TNF-α, IL-1, and calcium were significantly reduced; FSH, PROG, and BA levels showed no significant differences between the two groups. Metabolomic analysis identified 277 upregulated and 403 downregulated DAMs in feces, and 386 DAMs in serum. The shared enriched pathways across serum and fecal samples encompassed arginine biosynthesis, histidine metabolism, and pantothenate and CoA biosynthesis, as well as steroid hormone biosynthesis. A total of 120 DAMs overlapped in two specimens, and the non-laying geese presented pronounced depletion of tryptophan-derived metabolites and steroid hormone-related metabolites. Metagenomic results showed no significant difference in gut microbial alpha diversity between groups, while their microbial community structures were clearly differentiated. A total of 774 upregulated and 854 downregulated microbial species were screened in non-laying geese, and these differential microbes were primarily enriched in pathways associated with reproductive hormone signaling, steroid biosynthesis and energy metabolism. Multi-omics correlation analysis verified close associations between differential microbes and reproductive-related metabolites. Certain probiotic strains, including Pediococcus pentosaceus and Lactococcus raffinolactis, were positively correlated with steroid hormones and tryptophan metabolites, and their abundances declined obviously in the non-laying stage. Collectively, this study elaborates the holistic changes in serum biochemistry, gut metabolome and microbiome in geese at different reproductive stages. The dysregulation of amino acid and steroid hormone metabolism, combined with the loss of beneficial intestinal microbes, jointly induces the non-laying phenotype. This study provides new perspectives for understanding the gut–reproductive axis and supplies promising biomarkers to improve the laying performance of geese. Full article

The Yezo virus (YEZV) is a recently discovered tick-borne orthonairovirus with pathogenic potential, causing acute febrile illness in humans. Viral nucleoproteins (N) play a key role in genome packaging, replication, and modulation of host immune responses, making their structural characterization essential for understanding viral pathogenesis and developing targeted countermeasures. However, the absence of structural data for YEZV proteins significantly hinders these efforts. This study presents the first solution structure of the YEZV N domain 1 (D1). A highly purified, soluble, tag-free recombinant YEZV N D1 was produced from the native sequence of the clinical YEZV isolate. The native-state conformation was resolved through an integrated approach combining size-exclusion chromatography coupled with small-angle X-ray scattering (SEC-SAXS), AlphaFold 3 structure prediction, and all-atom molecular dynamics simulations. The YEZV N D1 structure adopts a stable, predominantly α-helical globular fold that remains monomeric under near-physiological conditions. SEC-SAXS data show excellent agreement with computational models, revealing moderate conformational flexibility. The characterized recombinant YEZV N D1 and its first solution structure reported here providing essential insights into understanding of YEZV molecular architecture. These findings lay a foundation for rational serological assay development and structure-guided therapeutic design against this and other emerging orthonairoviruses. Full article

Summer maize (Zea mays L.) production on the North China Plain is highly dependent on variable seasonal rainfall, which increases the likelihood that inappropriate water and nitrogen allocation will cause yield fluctuations and ecological and environmental risks. Previous studies have mainly relied on single-site field comparisons or basic statistical evaluation methods, limiting the understanding of the dynamic response mechanisms of drought stress coupled with nitrogen application during the jointing and grain-filling stages. Based on field experiments conducted in 2024–2025, the DSSAT model was used to simulate aboveground dry matter accumulation (CWAM), grain yield, leaf area index (LAI), dry matter evapotranspiration productivity (DMPEM), and dry matter nitrogen productivity (DPNAM) of summer maize under different water–nitrogen treatments at different growth stages. Then, historical meteorological data for Henan Province from 2003 to 2023 were imported. The years were classified into three hydrological year types: wet years, normal years, and dry years. Subsequently, Principal Component Analysis (PCA), the TOPSIS method, and the Rank-Sum Ratio (RSR) method were employed to construct a multidimensional evaluation system for assessing water and nitrogen management strategies under different hydrological year types. The results showed that the nitrogen application rate had a significant regulatory effect on yield, DPNAM, and DMPEM. All three initially increased and then decreased as the nitrogen application rate rose, with the optimal performance observed under the normal nitrogen (N2) treatment. Under drought conditions during the same growth stage, the increase in the maximum yield under the N2 treatment was approximately 8.1% and 50% higher than that under the high-nitrogen (N1) and low-nitrogen (N3) treatments, respectively. Compared with drought during the grain-filling stage, drought during the jointing stage had a smaller negative effect on CWAM and LAI. A comprehensive evaluation with long-term meteorological data reflects that drought during the jointing stage combined with normal nitrogen (Q2) is the optimal water–nitrogen management strategy for wet years (with an RSR value of 0.994). The treatments of drought during the jointing stage combined with high nitrogen (Q1) and drought during the grain-filling stage combined with normal nitrogen (H2) reveal greater adaptability and favorable universality across different hydrological year types. The model’s reliability under various water–nitrogen coupling conditions was validated by integrating field experiments, DSSAT model simulations, and a multidimensional evaluation system. This study lays a scientific theoretical foundation for achieving high and stable yields in summer maize under different water–nitrogen coupling conditions and across various hydrological year scenarios. Full article

Childhood is a crucial period for enhancing socioemotional skills, which lay the foundation for development and mental health in adulthood. Consequently, research in early years focuses on emotion understanding as a central component of broader emotional skills, highlighting the role of Social and Emotional Learning (SEL) programs and the influence of factors such as sex, culture, socioeconomic status, and context. This study examines the impact of a seven-month school-based SEL intervention on children’s emotion understanding across two cross-cultural contexts, Spain and Venezuela. A quasi-experimental factorial design with pretest and post-test measures, under a quantitative methodology, was conducted with 224 children enrolled in the 4- and 5-year-old levels of Early Childhood Education, and Grades 1–2 and 3–4 of Primary Education. The Emotion Matching Task and the Test of Emotion Comprehension were used for data collection. Results indicated that participation in the intervention was associated with improvements in emotion understanding, although the magnitude varied across schools and educational stages. Therefore, this study argues how SEL initiatives interact dynamically with school culture, community characteristics, and the organizational structures that support SEL. Full article

Evapotranspiration (ET) is a key component of the terrestrial water and energy cycle, and its long-term dynamics are essential for regional hydrological assessment in subtropical China. In this study, two widely used satellite-based ET products, MOD16 and PML-V2, were selected for intercomparison because they provide consistent spatial (500 m) and temporal (8-day) resolutions. Validation against flux observations showed that PML-V2 performed better than MOD16 and was therefore used for subsequent analysis. Based on the 500 m, 8-day PML-V2 dataset, the spatiotemporal variation in ET in subtropical China during 2001–2020 was examined using the Theil–Sen slope estimator, Mann–Kendall test, and Hurst exponent. To identify the most relevant controls on ET variation, eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP) were used to screen environmental factors and rank their relative importance. Multiple linear regression (MLR) was then applied only to the selected dominant factors to quantify their contributions. Residual analysis was used to distinguish climate–vegetation effects from residual influences, which could arise from human activities and unmodeled natural processes. The results showed that annual ET averaged 669 mm and increased significantly at a rate of 2.03 mm yr⁻¹ from 2001 to 2020, with an accelerated increase after 2010. Spatially, ET exhibited clear gradients from south to north and from coastal to inland regions. Downward shortwave radiation (SWDown) and leaf area index (LAI) were the dominant drivers over most of the study area, although their controls varied geographically, with northern subregions being more energy-limited and southern subregions being jointly influenced by vegetation and temperature. Residual ET trends largely coincide with cropland and urbanising areas, indicating a partial influence of human activities, while in subregions such as XM, complex terrain and hydrological heterogeneity suggest that unmodeled natural processes may dominate. These findings enhance understanding of ET dynamics in subtropical China and demonstrate the value of high-resolution remote sensing products for regional hydrological monitoring and driver attribution. Full article