Search Results (16,887)

Background: Hepatitis B virus (HBV) is an infection proven to increase the risk of gastric cancer, especially among hepatitis B virus surface antigen (HBsAg) seropositive patients. However, the route through which HBV injures gastric mucosa and its mechanism of gastric carcinogenesis are still under investigation. Aims: The present study aimed to observe and evaluate associations between HBV infection with Helicobacter pylori, atrophic gastritis, and some other high-risk events for gastric cancer development. Methods: A retrospective cross-sectional study recruited participants undergoing a health check-up between 2018 and 2020 in the West China Hospital of Sichuan University. Participants were stratified into three statuses, including Group A (non-HBV infection), Group B (resolved HBV infection), and Group C (chronic HBsAg carriers or active HBV infection). Additionally, Groups A and B were categorized as HBsAg-seronegative, whereas Group C was defined as HBsAg-seropositive. High-risk events of gastric cancer included a history of gastric ulcer, Helicobacter pylori infection, serological atrophic gastritis (serum pepsinogens), hypergastrinemia (serum gastrin-17), and endoscopic findings of atrophic gastritis, gastric polyps, and gastric ulcer. Associations of HBV infection status or HBsAg seropositivity with Helicobacter pylori infection, atrophic gastritis and other high-risk events of gastric cancer were analyzed. Results: A total of 21,505 eligible observations were included, with Group C accounting for 6.1%. In Group C, the prevalence of gastric ulcer (p = 0.002) and very-high serum gastrin-17 level (p = 0.002) was significantly greater than in Group A. In multivariate analysis, both Helicobacter pylori infection (aOR = 2.79, 95% CI 2.44–3.21) and HBsAg seropositivity (aOR = 1.28, 95% CI 1.02–1.59) were significant risk factors for hypergastrinemia. No interaction was found between Helicobacter pylori co-infection risks and Group B (aOR = 1.10, 95% CI 0.84–1.43) or Group C (aOR = 1.40, 95% CI 0.66–2.95). Helicobacter pylori infection was identified as an independent risk factor for atrophic gastritis (aOR = 1.85, 95% CI 1.44–2.39). However, HBsAg seropositivity did not show a similar association with atrophic gastritis (aOR = 1.15, 95% CI 0.75–1.74). Moreover, HBV co-infection did not exert a synergistic effect on the risk of atrophic gastritis in individuals with Helicobacter pylori (aOR = 1.09, 95% CI 0.54–2.22). Additionally, multivariate analyses did not identify significant associations between HBV infection statuses and gastric polyps or ulcers. Conclusions: HBsAg seropositivity was not associated with increased risk of atrophic gastritis, gastric polyps or ulcers, or Helicobacter pylori infection, with the exception of hypergastrinemia. Additionally, HBV co-infection did not exert a synergistic effect on increasing the risk of atrophic gastritis in patients with Helicobacter pylori. Collectively, these findings suggest that the mechanism underlying the increased risk of gastric cancer in individuals with HBV may not be predominantly mediated via Helicobacter pylori infection and atrophic gastritis. Theories regarding HBV-induced genotoxicity or confounding effects warrant further investigation. Full article

Field breeding trial-plot harvesting is one of the key processes in crop breeding, as any mixing between varieties during harvest directly leads to the invalidation of breeding data. Therefore, achieving zero-residue self-cleaning inside the machine during harvesting is essential. Existing studies have largely relied on simulations to optimize cleaning parameters. However, research specifically targeting the synergistic design of the mechanical and pneumatic components of the cleaning device to achieve efficient and thorough self-cleaning in complex real-world conditions remains lacking. To address this issue, this paper presents a novel cleaning system specifically designed for efficient self-cleaning and optimizes its key parameters. Key structural parameters of the straw walker, vibrating sieve, and cleaning fan were analyzed, establishing preliminary ranges for crank speed, sieve-airflow angle, and fan speed. A test bench was developed, and single-factor experiments were conducted to investigate the effects of these parameters on core self-cleaning indicators, including the self-cleaning rate and self-cleaning time. The optimal parameter combination was obtained using the Box–Behnken design (BBD) response surface methodology: a crank speed of 390.80 r/min, a sieve-airflow angle of 29.88°, and a fan speed of 1995 r/min. Bench tests validated that the system achieved excellent cleaning performance while ensuring a self-cleaning rate of 100% and a reduced self-cleaning time of 20 s. The system’s effectiveness was further validated through field experiments using a 4LX1 prototype harvester on three wheat varieties. Results demonstrated zero grain mixing between plots, with self-cleaning times of 9–12 s. Both bench and field test results exceeded the relevant standards, effectively resolving the long-standing issue of grain residue in trial plot harvesting. Through dual validation, this study provides a referential solution for addressing grain residue and establishes a theoretical foundation for the synergistic design of efficient and precision breeding harvest technologies. Full article

Rare-metal pegmatite–greisen systems are commonly small, structurally controlled, and difficult to delineate using conventional mapping alone. This study proposes a multiscale remote-sensing workflow for prospecting Li–Nb–Ta–Cs mineralisation in the Kalba–Narym rare-metal belt (East Kazakhstan) by integrating Sentinel-2 multispectral imagery, UAV-derived centimeter-scale orthomosaics, structural (lineament) analysis, and field-based mineralogical–geochemical validation. Sentinel-2 responses were first calibrated using known occurrences to derive alteration proxies related to greisenisation, silicification, Na-metasomatism, and oxidation. These proxies were combined into an Integrated Hydrothermal Alteration Index (IHAI) to highlight areas where multiple alteration processes overlap. Lineament mapping from Sentinel-2 and DEM products indicates dominant NW–SE and NE–SW structural trends, zones of elevated lineament density and intersection systematically coincide with high IHAI values. UAV orthomosaics refine satellite-scale anomalies by resolving quartz-vein networks, fracture corridors, and surface-alteration textures that are not detectable at 10–20 m resolution. Mineralogical and geochemical data confirm that high-IHAI targets correspond to albitised pegmatites and greisenised rocks enriched in Li, Nb, Ta, and Cs. The results demonstrate that combining freely available Sentinel-2 data with UAV observations and targeted ground validation provides a cost-effective and transferable framework for reducing false positives and prioritising exploration targets in structurally complex granitoid terranes. Full article

Severe hypercalcemia is a life-threatening condition requiring immediate treatment alongside a systematic evaluation to identify the underlying cause. Although malignancy is a common etiology among hospitalized patients, alternative causes must be considered to guide targeted therapy, as illustrated in these cases. The first case involved a 31-year-old postpartum woman with corrected calcium levels of 14.5 mg/dL and suppressed PTH. Hypercalcemia resolved after tapering and temporary cessation of breastfeeding, consistent with lactation-associated hypercalcemia that is likely PTHrP-mediated. The second case describes a 30-year-old woman who presented with hypotension, hypercalcemia, hyperphosphatemia, and low PTH. A systematic evaluation revealed severe glucocorticoid deficiency consistent with primary adrenal insufficiency (Addison’s disease). The final case featured a 47-year-old man with severe symptomatic hypercalcemia (18.5 mg/dL) and markedly elevated PTH. Imaging revealed a 3 cm parathyroid tumor. Selective parathyroidectomy produced a rapid intraoperative PTH decline, and pathology supported parathyroid adenoma rather than carcinoma. Together, these cases highlight that symptomatic severe hypercalcemia is a medical emergency warranting prompt clinical intervention, followed by an early PTH-based stratification to direct a focused, stepwise diagnostic workup and definitive management. Full article

Background/Objectives: Anterior segment optical coherence tomography (AS-OCT) and optical coherence tomography angiography (AS-OCTA) have enhanced the evaluation of the cornea, ocular surface, and ocular surface diseases (OSD), offering high-resolution structural and anterior segment vascular imaging. This review summarizes recent advances in these modalities and their clinical applications. Methods: A comprehensive literature search was conducted using PubMed, Web of Science, and Google Scholar with the terms OCT, OCTA, anterior segment, and ocular surface disease. Studies published in the past five years were included, emphasizing more recent developments such as ultra-high-resolution AS-OCT (UHR-AS-OCT) and swept-source AS-OCTA technologies. Results: UHR-AS-OCT provides non-invasive, sub-micron imaging of the cornea and the ocular surface, including tear film morphology and epithelial thickness to correlate with clinical tests such as tear break-up time, and fluorescein staining. Advances in AS-OCTA allow dye-free, depth-resolved imaging of corneal and conjunctival vasculature. These vascular biomarkers have shown promising utility in conditions such as limbal stem cell deficiency, chemical ocular injury, and ocular surface squamous neoplasia. Improvements in image acquisition, motion correction, and segmentation algorithms have enhanced accuracy and repeatability, supporting broader clinical translation. Conclusions: AS-OCT and AS-OCTA have become useful adjunctive imaging tools for the cornea and ocular surface evaluation. Their non-invasive, quantitative, and reproducible metrics may enable earlier diagnosis, objective staging, and longitudinal monitoring of OSD. Integration of OCT-based imaging with artificial intelligence and multimodal data, including tear proteomics and meibography, may optimize personalized treatment for ocular surface disorders. Full article

Prolonged water injection in unconsolidated sandstone reservoirs can induce pore rearrangement and modify flow pathways, thereby affecting reservoir performance. However, quantitative characterization of pore evolution in both temporal and spatial dimensions remains limited. This study investigates the mechanisms of pore-structure evolution during extended injection through a series of multi-scale experiments. Scanning electron microscopy and X-ray diffraction analyses were employed to compare mineral composition and microstructural characteristics before and after injection, while in situ nuclear magnetic resonance (NMR) monitoring captured the dynamic evolution process, enabling pore-size classification from T₂ spectra and fractal assessment of structural complexity. Segmented NMR measurements at different distances further resolved spatial heterogeneity. The results show that prolonged water injection reduced permeability by 10.4–32.1%, whereas porosity exhibited only minor variation, indicating that the decline in flow capacity is primarily controlled by pore–throat structural adjustment rather than pore volume loss. Mineralogical redistribution and fine-particle migration decreased the median pore radius by 21.5–51.8% and the micropore fractal dimension by 23.8–76.5%, with stronger responses observed at higher permeabilities, while meso- and macropore fractal dimensions remained nearly unchanged, indicating preferential modification of micropores with preservation of the main connected flow framework. Consistently, NMR responses reveal pronounced spatial heterogeneity along the flow direction. The NMR signal changes at the injection end were 11.2–18.4% and 7.7–21.7% during the early and intermediate stages, respectively, both exceeding those at the distal end (2.9–12.4% and 1.9–17.1%). These results indicate a downstream-attenuating structural modification gradient. The findings provide new insights into pore-structure evolution during prolonged water injection and offer a scientific basis for optimizing water-injection strategies in unconsolidated sandstone reservoirs. Full article

Graph Neural Networks (GNNs) have emerged as the standard for learning representations from graph-structured data. While traditional architectures relying on message-passing mechanisms excel in homophilic settings, they essentially function as fixed low-pass filters. However, this smoothing operation limits their ability to generalize to heterophilic graphs, where connected nodes often exhibit dissimilar labels and high-frequency signals are crucial for discrimination. Furthermore, existing Mixture-of-Experts (MoE) methods for graphs often suffer from local-view routing, failing to capture global structural context during expert selection. To address these challenges, this paper proposes SS-AdaMoE, a novel Spatio-Spectral Adaptive Mixture of Experts framework designed for robust node classification across diverse graph patterns. Specifically, a Dual-Domain Expert System is constructed, integrating heterogeneous spatial aggregators with learnable spectral filters based on Bernstein polynomials. This allows the model to adaptively capture arbitrary frequency responses—including high-pass and band-pass signals—which are overlooked by standard GNNs. To resolve the locality bias, a Hierarchical Global-Prior Gating Network augmented by a Linear Graph Transformer is introduced, ensuring that expert selection is guided by both local node features and global topological awareness. Extensive experiments are conducted on five benchmark datasets spanning both homophilic and heterophilic networks. The results demonstrate that SS-AdaMoE consistently outperforms baselines, achieving accuracy improvements of up to 2.65% on Chameleon and 1.41% on Roman-empire over the strongest MoE baseline, while surpassing traditional GCN architectures by margins exceeding 28% on heterophilic datasets such as Texas. These findings validate that the synergy of learnable spectral priors and global gating effectively bridges the gap between spatial aggregation and spectral filtering. Full article

Epoxy resin (E-51) exhibits excellent adhesion and is widely used in the preparation of functional composite coatings. However, its smooth surface lacking micro/nano composite structures limits its self-cleaning capability and optical properties. Direct incorporation of organic silicone or inorganic fillers often faces severe phase separation and filler agglomeration issues, resulting in defects in coating durability and weather resistance. To address these challenges, this study developed a synergistic modification strategy integrating surface energy modulation with the architectural design of micro/nano-structures. Amino-terminated PDMS undergoes ring-opening addition reactions with epoxy groups in the epoxy resin, while functionalized barium sulfate nanoparticles modified with dual silane coupling agents are incorporated to enhance optical properties. This synergistic approach not only resolved interfacial compatibility but also endowed the PDMS@EP-BaSO₄ coating with outstanding comprehensive properties; the water contact angle increased to 123.5°, demonstrating an easy-to-clean benefit. Visible light reflectance reached 95%, and emissivity rose to 90%. Furthermore, when applied to metal surfaces, the coating exhibited excellent stability against acid–alkali–salt corrosion, extreme temperatures, and ultrasonic agitation. This work provided a novel approach for developing protective coatings that integrated high reflectance, high emissivity, and long-term anti-soiling properties. Full article

Kombucha fermentation is driven by a Symbiotic Culture of Bacteria and Yeast (SCOBY), a cellulose-rich biofilm that hosts a complex microbial consortium. While most kombucha studies focus on the liquid beverage, the SCOBY pellicle itself remains underexplored, particularly with respect to species-level microbial resolution and its intrinsic biological activities. In this study, a commercial kombucha SCOBY was characterized using full-length 16S rRNA gene and ITS amplicon sequencing based on Oxford Nanopore Technology, enabling species-level taxonomic resolution. In parallel, hydroalcoholic and aqueous extracts of dried SCOBY biomass were evaluated for in vitro antioxidant activity (DPPH and ABTS assays), antidiabetic-related enzyme inhibition (α-glucosidase and dipeptidyl peptidase-4, DPP4), and anti-aging-related enzyme inhibition (tyrosinase and elastase). The SCOBY bacterial community was strongly dominated by acetic acid bacteria, with Komagataeibacter saccharivorans and Acetobacter tropicalis accounting for more than 60% of total reads, reflecting a biofilm structure optimized for cellulose production and oxidative metabolism. The yeast community showed marked unevenness, with Brettanomyces bruxellensis representing over 80% of reads, consistent with its known role in ethanol production and stress tolerance within kombucha systems. In vitro assays revealed that hydroalcoholic SCOBY extracts consistently exhibited higher biological activity than aqueous extracts across all tested assays. However, both extracts showed substantially lower potency than purified reference compounds, indicating moderate but measurable bioactivity typical of complex fermented matrices. These findings support the potential valorization of SCOBY as a fermentation-derived biomaterial and functional ingredient while underscoring the need for further chemical characterization, mechanistic studies, and biological validation beyond enzyme-based assays. Full article

Impaired blood–brain barrier (BBB) integrity is a common hallmark of neurological disorders associated with neuroinflammation, neurodegeneration and aging. The function of the BBB relies heavily on the interaction between astrocytes and endothelial cells, the most closely connected elements of the neurovascular unit. Under inflammatory conditions, astrocytes can undergo a range of metabolic changes, becoming pro-inflammatory and harmful to endothelial cells. Upon activation, astrocytes secrete a plethora of inflammatory mediators that severely disrupt the barrier function of the BBB. ω-3 polyunsaturated fatty acids (PUFAs), mainly docosahexaenoic and eicosapentaenoic acids, exhibit protective anti-inflammatory and antioxidant effects demonstrated in various neurological disorders. This review focused on the role of ω-3 PUFAs and their oxidative derivatives, specialized pro-resolving mediators, in preserving the BBB's integrity via suppression of astrocytes' activation or even promotion of their transition from an A1 to an A2 phenotype. We considered mainstream mechanisms of the anti-inflammatory and antioxidant effects of ω-3 PUFAs on reactive astrocytes, such as stimulation of the Nrf2/ARE and Wnt/β-catenin signaling pathways, inhibition of NF-κB/matrix metalloproteinase activity and the JAK/STAT3 signaling axis, as well as the contribution of ω-3 PUFA-activated GPCRs and PPAR transcriptional factors, particularly regarding the role of these mechanisms in preserving the BBB's integrity. Full article

Heart failure (HF) is associated with substantial morbidity and mortality. Metabolic abnormalities are increasingly recognized as integral to HF pathophysiology and may provide incremental value for phenotyping and prediction of outcomes. However, a comprehensive synthesis of metabolic alterations and their prognostic implications remains limited. This scoping review aimed to map metabolic changes in HF, describe analytical methods, and evaluate their diagnostic and prognostic relevance for clinical risk assessment. Methods: We systematically searched PubMed, Scopus, Web of Science, Cochrane Central, and grey literature from January 2010 to December 2024 to identify studies evaluating metabolic profiling in patients with HF. Two independent reviewers screened studies using predefined inclusion criteria and data were extracted using a customized charting form. Discrepancies were resolved by consensus or a third reviewer. We reported and synthesized findings narratively in accordance with scoping review methodology. Results: Seventy-two studies (66 observational and 6 randomized) were included, encompassing HF phenotypes including HF with reduced ejection fraction (HFrEF), HF with mildly reduced ejection fraction (HFmrEF), and HF with preserved ejection fraction (HFpEF). The analytical approaches included mass spectrometry and nuclear magnetic resonance (¹H-NMR) platforms. The main metabolite classes that demonstrated prognostic significance were amino acids, acylcarnitines, and lipids, and gut-derived metabolites, which were associated with mortality, HF hospitalization, or disease progression. Several studies reported incremental prognostic value beyond conventional biomarker; however, most were exploratory, with modest sample sizes, limited external validation, and heterogeneous methodologies. Conclusions: Metabolomic profiling identifies biologically relevant alterations predicted worse clinical outcomes in HF and may complement existing risk assessment strategies. Nevertheless, standardized workflows and large prospective validation studies are required before clinical implementation can be considered. Full article

Arid and semi-arid regions are critical to terrestrial ecosystems and regional carbon cycle regulation, directly contributing to peak carbon and carbon neutrality goals. However, the fragmented landscapes in these regions pose significant challenges to conventional pixel-based classification, which often struggles with mixed pixel issues and lacks biophysical interpretability. To address these limitations, this study develops an Ecologically Constrained Deep Learning Autoencoder (ECO-DEAU) framework for sub-pixel land cover mapping by integrating biophysical constraints. Specifically, ECO-DEAU employs spectral indices to extract standard spectral signatures for five primary land cover types, which serve as initial weights to guide the autoencoder in estimating fractional abundances. The model was trained across ten representative landscape zones in the Inner Mongolia section of the Yellow River Basin and validated against high-resolution Gaofen-2 data. Results demonstrated that ECO-DEAU yielded an average $R^2$ of 0.687, reaching a maximum $R^2$ of 0.749 in spatially heterogeneous transition zones, representing a substantial improvement over the baseline unconstrained Deep Autoencoder (DEAU). By effectively resolving the blind source separation problem and improving decomposition accuracy, ECO-DEAU serves as a robust tool for addressing mixed pixel challenges in heterogeneous environments, thereby facilitating large-scale, high-resolution carbon sink monitoring. Full article

The COVID-19 pandemic has led to an unprecedented global health crisis, with millions recovering from acute infection but experiencing lingering symptoms, collectively referred to as post-acute sequelae of COVID-19 (PASC), or “long COVID.” While the precise mechanisms underlying long COVID remain elusive, one hypothesis gaining traction is the persistence of viral reservoirs in various tissues. Despite evidence of viral RNA and proteins detected in post-acute patients, the concept of viral reservoirs in the context of long COVID remains a subject of debate. This review explores the current scientific evidence for the existence of persistent SARS-CoV-2 in human tissues beyond the acute infection phase, focusing on the molecular mechanisms by which the virus may evade immune surveillance. We examine the role of immune dysregulation, chronic inflammation, and viral persistence in tissues such as the lungs, heart, brain, and gut. Additionally, we explore how these persistent viral elements may be associated with ongoing symptoms in long COVID and discuss the biological plausibility of these links. Finally, we discuss the clinical implications of viral persistence in post-COVID care, potential therapeutic strategies, and the need for further research to resolve the open questions surrounding this phenomenon. Full article

With the rapid advancement of autonomous driving technology and the commercialization of Human–Machine Interface (HMI) services, camera-based systems for external environment perception are being extensively deployed. While comprehensive camera systems enhance safety and convenience, they simultaneously raise serious privacy concerns by collecting facial and biometric information of Vulnerable Road Users (VRUs) and passengers. Although facial anonymization technology has emerged as a key solution, the field currently faces a fundamental challenge: the absence of unified performance evaluation criteria. Existing studies employ disparate evaluation metrics, making objective inter-model comparison and performance verification difficult. This study proposes quantitative evaluation metrics and corresponding evaluation criteria that enable systematic and objective assessment of facial anonymization model performance. Through large-scale experiments, we developed quantitative evaluation metrics encompassing facial landmark variations, visual similarity, and re-identification prevention capability, and derived specific threshold values based on statistical methodologies. Furthermore, to validate the proposed evaluation criteria, we conducted systematic empirical assessments using models that adopt different technical approaches. The validation experiments showed that the evaluation criteria proposed in this study can be applied across models with distinct technical characteristics. This research is expected to contribute to resolving the heterogeneous evaluation criteria issues in existing studies by providing unified evaluation criteria. It may also support the development of privacy protection technologies in autonomous driving environments. Full article

The goal of this review is to bring to the attention of the scientific community the opportunities of transmission electron microscopy for analyses of biological subjects and resolving complicated cases of data interpretation. Although procedures for electron microscopy are in general more elaborate (particularly for simultaneous immunolabeling of multiple antigens) compared to fluorescent microscopy, they can help view cellular morpho-functional features undetectable using other methods. In this review, we consider several unexpected and serendipitous discoveries made in our laboratory and fulfilled using unique opportunities provided by electron microscopy of ultrathin sections. We are deliberating the following topics: interpretation of unusual results of immunolabeling; a novel method for in situ identification of cells undergoing mitochondrial disorder and necrosis-like death; the sequence of organelles’ reorganization in dying cells; simultaneous rupture of nuclear and plasma membranes in migrating neurons; and the role of cytoskeleton in lateral expansion of the cerebral cortex. Full article