Search Results (56,048)

Background/Objectives: COVID-19, caused by the SARS-CoV-2 virus, can lead to widespread neurological and cognitive complications, even in the absence of significant structural brain abnormalities. Understanding the evolving health concerns in the context of viral infections is critical to service member readiness, fitness, and mission completion. The potential neuroprotective effects of SARS-CoV-2 vaccination remain underexplored. Methods: Using a cross-sectional, non-human primate model (female cynomolgus macaques), we employed magnetoencephalography (MEG) to assess resting-state brain activity following vaccination with escalating doses of a novel psoralen-inactivated SARS-CoV-2 vaccine (PsIV) or a combination of PsIV and a DNA vaccine (prime boost), and subsequent challenge with the Delta variant (SARS-CoV-2 B.1.617.2). MEG scans were acquired 41 days after inoculation. Source series were constructed for 42 regions of interest for each subject, and band power was computed. Results: Band power demonstrated substantial preservation of neural activity across multiple brain regions in vaccinated subjects compared to unvaccinated controls following viral challenge. Significantly lower power was observed across the brain at all bandwidths in the unvaccinated group relative to the prime boost group. As PsIV concentration increased, spectral power increased, with the prime boost group having the greatest power. Conclusions: This approach not only underscores the role of vaccination in mitigating neuropathology but also highlights the capability of MEG to detect subtle yet significant changes in brain function that may be overlooked by other imaging modalities. These findings advance our understanding of vaccine-induced neuroprotection and establish MEG as a powerful tool for monitoring brain function in the context of viral infections. Full article

Background/Objectives: To externally validate and compare four postoperative upper tract urothelial carcinoma (UTUC) nomograms in a contemporary Australian radical nephroureterectomy (RNU) cohort, and to identify independent clinicopathological predictors of survival. Methods: We conducted a retrospective study across a multi-site tertiary service in Victoria of patients who underwent RNU for localised UTUC between January 2011 and December 2021. Patients were excluded if RNU was performed for non-UTUC-related reasons or if they had incomplete data. Univariable and multivariable Cox models assessed prognostic factors. Discrimination of the nomograms was evaluated using Harrell’s C-index with bootstrap-corrected calibration. Results: Of 142 total patients undergoing RNU, 103 were included in the final study cohort. In our multivariable Cox regression analysis, increasing age, sessile architecture and higher tumour stage emerged as independent predictive factors for worse overall survival (OS). For cancer-specific survival (CSS), increasing age, higher tumour stage, tumour location in the kidney, and synchronous tumours in the kidney and ureter were statistically significant. Four nomograms (Seisen, Abdul-Muhsin, Cha and Roupret) were identified. External validation showed the best discrimination of CSS for Seisen (C-index 0.814, 95% CI 0.687–0.915); Abdul-Muhsin had good OS but moderate CSS discrimination (C-index 0.708 and 0.651), Cha showed good CSS but excellent recurrence-free survival (RFS) discrimination (C-index 0.770 and 0.826) and Roupret CSS nomogram showed good CSS discrimination (C-index 0.789, 95 CI (0.653, 0.900). Conclusions: The Seisen nomogram provided the most accurate, well-calibrated five-year cancer-specific predictions after RNU, outperforming the Abdul-Muhsin, Cha and the Roupret models, likely due to its weighting of age, location, and sessile architecture, which are independent predictors of worse CSS. These data endorse a risk-adapted strategy using the Seisen nomogram to guide postoperative counselling, surveillance intensity, and consideration for adjuvant therapy. Full article

Threshold Attribute-based Encryption has attracted significant attention due to its growing importance in practical applications, such as distributed cloud storage or anonymous access control. In a threshold attribute-based encryption scheme, a sender can select a set of attributes and a corresponding threshold t, which is referred to as an access policy, to encrypt a message. Decryption is successful if and only if a user possesses at least t attributes from the specified attribute set. Existing threshold attribute-based encryption schemes typically consider only the setting in which a single message is encrypted under a single access policy. However, in many practical applications, more flexible encryption scenarios are needed, such as encrypting a single message under multiple access policies or encrypting multiple messages under their corresponding access policies. In this work, we first formalize the notion of threshold attribute-based encryption supporting the encryption of multiple messages under multiple access policies. We then propose the first construction of a threshold attribute-based encryption scheme based on the Key Encapsulation Mechanism paradigm that supports such functionality while achieving constant-size ciphertext. Our proposed scheme relies on bilinear pairings and is proven secure in the Generic Bilinear Group Model. As a classical pairing-based construction, it does not provide post-quantum security and is therefore unsuitable for scenarios requiring long-term confidentiality or resilience against harvest-now, decrypt-later attacks. Full article

The Porous Line is a drawing inquiry that uses materials and processes to engage in a dialogue with a suburban ecosystem. I follow the physicist David Bohm’s proposal to use dialogue as a mode of engagement where habitual modes of thought are suspended, a form of non-judgmental curiosity. I reflect on how immersing a large roll of French imported paper in my everyday environs reveals the porousness between nature and culture. The binary separation of nature and culture has undergone significant criticism as we deal with the climate crisis. As a foundational medium within western art and thought, how can drawing communicate this growing ontological shift? The essay engages in dialogue with Yolngu art from Yirrkala as a guide on what an ecological art practice entails. Their commitment to work with what ‘Country’ provides has resulted in innovative and thoughtful new works. In response to propositions seen in Yolngu artworks, this essay engages with place, materiality, and relationality through the process of merging line and ground, the fundamentals of drawing, physically and conceptually. I reflect on the challenges that need to be addressed within western ontologies to develop an ecological approach in drawing. Full article

Background: Nutritional biomarkers are linked to body composition changes, but limited evidence has studied how nutritional biomarkers relate to low muscle mass, excess adiposity, and both coexisting conditions across different physical activity levels. This study aims to investigate associations between low muscle mass, obesity, and low muscle mass with obesity and nutritional biomarkers across physical activity levels among U.S. adults across physical activity levels. Methods: This cross-sectional study analyzed data from adults aged 20–59 years from the 2015–2018 cycles of the National Health and Nutrition Examination Survey (NHANES) 2015–2018. Low muscle mass was defined by low appendicular lean mass relative to body weight (LALM/W). Obesity was classified using body mass index (BMI¹), waist circumference (WC²), and body fat percentage (FM%³), and low muscle mass with obesity was defined using three coexisting phenotypes (LALM/W-O1, LALM/W-O2, LALM/W-O3). Nutritional biomarkers included serum albumin, vitamin D, triglyceride, cholesterol, LDL cholesterol, iron, insulin resistance (HOMA IR), and high-sensitivity C-reactive protein (hs-CRP). Physical activity was categorized as inactive, insufficiently active, or sufficiently active based on MET minutes per week. Multivariable regression models accounted for the complex survey design and relevant covariates. Results: After adjustment, LALM/W was significantly associated with low serum albumin, low vitamin D, high triglyceride, high HOMA-IR, and high CRP. Obesity was significantly associated with low serum albumin, low vitamin D, high triglyceride, high LDL cholesterol, high HOMA-IR, and high CRP. LALM/W-O in all phenotypes were significantly associated with low serum albumin, low vitamin D, high triglyceride, high LDL cholesterol, high HOMA-IR, and high CRP. LALM/W-O phenotypes demonstrated the strongest associations, particularly with high HOMA-IR and hs-CRP. Although the associations varied by physical activity level, sufficiently active group was associated with lower odds of adverse nutritional biomarkers compared with insufficient activity. Conclusions: Nutritional biomarkers are associated with LALM/W and obesity. Sufficient physical activity was associated with fewer adverse outcomes. This suggests that adequate physical activity may be associated with better nutritional status and body composition. Full article

The present work reports on the microstructural and micro-mechanical characterization of Ti-Nb-HA-based composites. The composites were prepared via a spark plasma sintering (SPS) consolidation process. The effect of two distinct levels of hydroxyapatite (HA) content (e.g., 10 and 20 wt.%) on the microstructural and micro-mechanical properties were investigated via in situ micro-pillar compression, and the results were compared against a sole Ti-Nb composite. The microstructure of the composites was composed of parent Ti and Nb grains, together with the reaction products; due to the decomposition of HA, there was a rise in different biocompatible phases. The Vickers hardness of the composite was sensitive to applied loads due to the presence of pores and voids, which was foreseen to be beneficial when the composite was used as an implant, according to the literature. The addition of 20 wt.% HA causes a decrease in hardness to 990 HV, compared to 1109 HV for 10 wt.% HA and 1275 HV for sole Ti-Nb. The addition of HA into Ti-Nb also lowers the compressive strength from 553 MPa for Ti-Nb to 189 MPa for Ti-30Nb-20HA. This was accompanied by a reduction in the elastic modulus, from 130 GPa for Ti-Nb to 29 GPa for Ti-30Nb-20HA. The deformation mechanism was ductile-dominated in all cases, with the presence of a quasi-brittle nature for HA-containing composites. Full article

Calcium sparks can arise as both voltage-dependent and voltage-independent ligand-activated release events in amphibian skeletal muscle. To assess their gating behavior, calcium sparks were recorded from intact frog skeletal muscle fibers using high-temporal-resolution confocal microscopy (line scans: 15 and 50 µs/line). Sparks were triggered by 1 mmol/L caffeine to open ryanodine receptors (RyRs) or by subthreshold depolarization to a −65 mV membrane potential to activate dihydropyridine receptors (DHPRs). Both treatments increased the frequency of sparks and altered their morphology. The sparks were significantly greater after caffeine treatment than in depolarized cells. The signal mass of sparks (i.e., the amount of calcium released) resembled the amplitude in shape. Additionally, the calcium release flux followed a staggered function during the activation of sparks. The detailed analysis of the sparks’ time profile revealed that the events were activated in a stepwise manner. The average step size (in F/F₀; 0.071 ± 0.003) remained constant regardless of the scanning speed. The number of steps during the activation of sparks followed a linear function based on the spark’s amplitude. Our results suggest that the activation of neighboring release units may occur sequentially, and the amplitude of the sparks depends linearly on the number of activated RyR channels. Full article

Saline irrigation is a major constraint to crop production in newly reclaimed desert lands, even when pre-sowing soil salinity is low. This two-season field study evaluated whether plant growth-promoting rhizobacteria could improve barley performance under saline irrigation water with an electrical conductivity of 11.8 dS m⁻¹ in the El Moghra region, Egypt. The barley cultivar Giza 2000 was grown under five inoculation treatments: an uninoculated saline-irrigated control; a single inoculation with Azospirillum lipoferum; and combined inoculations with A. lipoferum and Bacillus coagulans, Bacillus circulans, or Enterobacter cloacae. Because freshwater was unavailable at the experimental site, treatment effects were evaluated relative to the saline-irrigated control. Across both growing seasons, single inoculation with A. lipoferum produced the most consistent improvements in growth, yield formation, nutrient accumulation, soil biological activity, and seed nutritional quality. The combined treatment of A. lipoferum and B. circulans was generally the second-most effective. Bacterial inoculation also improved adjustment to physiological stress, as indicated by greater proline accumulation, lower antioxidant enzyme activities, and enhanced expression of stress-related genes associated with proline biosynthesis and secondary metabolism. Overall, the results indicate that A. lipoferum applied alone was more effective than the tested combinations of bacteria under saline irrigation. These findings provide field-based evidence that inoculant performance depends on strain composition and that single-strain inoculation can be a promising strategy for improving barley production in reclaimed sandy soils irrigated with saline water. Full article

The trend in the power electronics industry toward higher power density and efficiency has brought high-frequency transformers (HFTs) to the forefront of critical applications, including isolated DC–DC converters, electric vehicle chargers, and solid-state transformers. This paper focuses on the leakage inductance of HFTs and presents a systematic comparative framework that evaluates five surrogate modeling and hybrid optimization approaches for the rapid and accurate estimation of leakage inductance. A comprehensive parametric dataset was constructed, comprising 1210 finite element analysis simulations conducted via finite element analysis in the ANSYS Maxwell 2024 R1 environment, varying the number of winding turns, primary winding thickness, and secondary winding thickness of the HFT. All five methods were trained and evaluated on the same dataset under identical conditions. The comparative evaluation demonstrates that the proposed hybrid Gray Wolf optimizer–artificial neural network (GWO-ANN) framework achieved the highest prediction accuracy (R² = 0.9832, MSE = 0.01780, MAE = 0.0935 µH) and the fastest convergence among all tested approaches. The generalization capability of the proposed model was confirmed through blind validation tests across six geometric configurations spanning the full range of the design space, yielding a maximum prediction error of 8.15% and an average error of 2.14%. The functional validity of the proposed parameters was further tested in a third validation layer using MATLAB/Simulink R2024b transformer circuit studies, demonstrating a theoretical efficiency of 96.06%. This three-layer validation approach proves both the parametric and functional reliability of the proposed framework for HFT designs. Full article

The Gebel Shalman-Wadi Biarn (GSh-WB) area in Egypt’s South Eastern Desert hosts NYF-type rare-metal pegmatites with significant U, Th, Nb-Ta, and REEs mineralization. This study integrates field observations, petrography, mineralogy, whole-rock geochemistry, and gamma-ray spectrometry to characterize these pegmatites and evaluate their economic potential. The pegmatites occur as veins, dykes, and zoned pockets hosted entirely within syenogranites. Petrography, pegmatites, and syenogranites are primarily composed of K-feldspar, albite, and quartz with trace amounts of biotite and muscovite. The environmental scanning electron microscope (ESEM) revealed the presence of the following minerals: autunite, kasolite, thorite, monazite-(Ce), parisite, xenotime-(Y), ferrocolumbite, hydroxyplumbobrtafite, aeschynite-(Y), and zircon, which are the major U-Th, Nb-Ta, and REE-bearing minerals. Additionally, gold, cassiterite, wolframite, pyrrhotite, chalcopyrite, and brass alloy were identified as sources of precious and base metals. Both groups’ chondrite-normalized REE patterns, which display slightly elevated LREE patterns and negative Eu anomalies, point to fractional crystallization involving plagioclase fractionation. Consequently, pegmatite and syenogranites are believed to have mostly formed from the partial melting of a reconstituted juvenile crust and its weathered sediments associated with Neoproterozoic magmatism. The marginally positive Ce anomaly in the (GSh-WB) pegmatites (1.02–0.98) may be associated with monazite crystallization resulting from enhanced fractionation. The Th and U levels range from 101 to 28.6 ppm and from 51 to 5.8 ppm, respectively. The magnitude of the tetrad effect in the rare earth elements of the analyzed rocks exceeds one (T1 = 1.12–1.02, T3 = 0.92–1.08, and T1,3 = 1.01–1.05), suggesting an M-type tetrad effect. The presence of this tetrad effect is indicative of granite that has been significantly altered by hydrothermal processes and is extensively fractionated. Chondrite-normalized REE patterns of the pegmatites (average ΣREE = 439 ppm) and their host syenogranites (average ΣREE = 192 ppm) show similar trends characterized by enrichment of light rare earth elements (LREEs) relative to heavy rare earth elements (HREEs) and pronounced negative Eu anomalies (Eu/Eu* = 0.09–0.22). These features, together with negative Sr and Ba anomalies, likely reflect extensive fractional crystallization of feldspars and feature anorogenic rocks. Spectrometric analysis reveals eU values of 2.0–288 ppm and eTh values of 7.0–455 ppm in pegmatite samples, with eU/eTh ratios (0.49–0.39) exceeding the typical continental crust value of 0.25, indicating uranium enrichment. Both magmatic and hydrothermal processes contributed to the observed radioactivity. The spatial distribution of uranium shows lithological and structural controls. The GSh-WB pegmatites represent a potential target for uranium exploration. Full article

Renovations aimed at improving energy conservation in older urban residential areas are essential for sustainable urban development; however, they encounter obstacles such as energy inefficiency and issues in sustaining long-term sustainability following renovation. Based on resource-based theory and collaborative governance theory, this study investigates how organisational resilience affects the efficacy of energy-saving renovations and confirms the mediating role of resource allocation efficiency. A mixed-methods approach was used in this investigation. Grounded theory was first used to establish the components of organisational resilience. A questionnaire survey was then used to gather information from those participating in energy-efficient renovation of old urban residential complexes. System dynamics (SD) was applied for empirical validation and simulation analysis across many intervention scenarios after structural equation modelling (SEM) was used to develop and evaluate study hypotheses. The results show that rather than the support of any particular strategy, the crucial elements in improving the efficacy of energy-saving renovations are efficient interdepartmental coordination and rational budget allocation. Notably, all energy-saving renovation outcome measures in this study are based primarily on stakeholder perceptions and survey responses rather than objectively measured energy consumption data. Full article

Achieving long-term urban sustainability requires energy subsidy frameworks that evolve with changing technological conditions and system needs. Renewable energy subsidy regimes have played a decisive role in accelerating building-integrated solar photovoltaic deployment, but many were designed for an earlier expansion phase focused mainly on increasing generation capacity and reducing technology costs. As electricity systems move toward an integration phase characterized by higher renewable penetration, flexibility constraints, storage needs, and cross-sectoral coordination, generation-centric subsidy architectures may become increasingly misaligned with system-level requirements. This study conducts a structured comparative analysis of subsidy design in Hong Kong, Chinese Mainland, and Australia, examining legal foundations, target scope, incentive structures, and technology orientation across expansion and integration phases. Despite major differences in governance systems and market organization, the findings show a common pattern: Principal subsidy instruments remain anchored in output-based performance metrics, while storage, hydrogen, and hybrid technologies are generally supported through supplementary rather than core mechanisms. The study argues that this policy layering may limit technological inclusiveness and reduce alignment between subsidy design and evolving system needs. It therefore proposes a system-value-oriented comparative framework for subsidy redesign that recognizes flexibility, reliability, and integrated clean energy performance in the built environment. Full article

In cold arid regions, the relationships between dissolved organic matter (DOM) characteristics and heavy metal distributions across ice, water, and sediment interfaces remain insufficiently resolved. This study characterized DOM spectral features and examined their associations with measured metal distributions in a typical frozen eutrophic lake using excitation–emission matrices coupled with parallel factor analysis (EEMs-PARAFAC), ultraviolet-visible absorption spectroscopy (UV-Vis), and Fourier-transform infrared spectroscopy (FTIR). Protein-like substances dominated ice DOM, whereas water and sediment-derived DOM contained more humified fluorescent components. Fluorescence indices confirmed a primarily biological origin across all media, with ice showing the highest autochthonous microbial contribution (BIX = 1.23) but the lowest humification (HIX = 0.26), suggesting a greater contribution of recently produced protein-like fluorescent DOM in the ice samples. Water DOM showed the highest average HIX (1.88), followed by sediment-derived DOM (0.61) and ice DOM (0.26). The measured hydrochemical conditions, including weak alkalinity, elevated total dissolved solids (TDS), and locally low dissolved oxygen, provide environmental context for differences in metal distributions. Exploratory Spearman analysis at 17 matched water stations identified the strongest DOM–metal associations for HIX-As (rho = 0.474, p = 0.054) and FI-Zn (rho = 0.471, p = 0.056), indicating that DOM optical properties provide testable indicators of metal-distribution patterns but should be combined with direct binding and speciation measurements for mechanistic confirmation. Because ice was collected in January 2021, whereas water and sediment were collected in October 2020, cross-medium differences are interpreted as between-campaign associations rather than synchronous partitioning. These findings provide a basis for targeted winter monitoring and future binding, speciation, and freeze-concentration experiments in shallow eutrophic lakes. Full article

Extrapyramidal symptoms (EPS) are motor side effects commonly induced by antipsychotic medications and can lead to measurable changes in handwriting patterns. These symptoms affect both the spatial and temporal characteristics of writing, including stroke thickness, direction and the rate of directional change. To model these complex variations, we propose a novel Liquid Generative Adversarial Network (LiquidGAN), which combines the adaptive dynamics of liquid neural networks with the data generation capability of GANs. Handwriting data were collected from 94 patients with confirmed EPS and 30 healthy controls using Archimedean spiral patterns drawn with both hands. A total of 211 images were processed for both binary and multiclass classification using a pretrained ResNet50 model. The pretrained ResNet50 achieved 92% accuracy and 97% precision in the binary classification task; however, its performance dropped significantly to 57% accuracy in multiclass classification, indicating limited capability in capturing fine-grained EPS severity variations. In contrast, the proposed LiquidGAN demonstrated excellent performance in the binary classification task, achieving 97% accuracy and 98% precision. More importantly, LiquidGAN substantially outperformed the baseline in the more challenging multiclass setting, achieving 70% accuracy and precision across four classes (mild, moderate, severe, and control). This shows that the diverse dataset from the liquidGAN significantly improves the HOG-ANN classification and effectively captures complex and subtle handwriting variations associated with different EPS severity levels that conventional models such as ResNet50 fail to distinguish. In addition, LiquidGAN generated diverse and realistic synthetic handwriting samples, yielding improved Fréchet Inception Distance (FID), precision, and recall compared with style GAN. These findings demonstrate that handwriting biomarkers, when analyzed through dynamic generative learning, offer an effective and non-invasive approach for monitoring extrapyramidal side effects in clinical settings. Full article