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Cholesterol-modulating effects of Korean red ginseng (KRG) targeting PCSK9 in hyperlipidemia
Catalytic Oxidation of Carbon–Halogen Bonds by Water with H<sub>2</sub> Liberation
Temporal trends of a cellular host response test for sepsis and a comparison with selected biomarkers of inflammation and infection
Abstract Sepsis, a condition characterized by immune dysregulation, is the leading cause of in-hospital mortality and requires rapid treatment. Assessing immune dysregulation has been challenging. The IntelliSep Index (ISI), a novel biomarker which leverages microfluidic deformability cytometry to assess immune activation, has been evaluated as a test for Emergency Department use but it is unclear how the signal evolves as patient condition evolves. In a 47-patient cohort with hospital stays ≤ 14 days, ISI provided a good indicator of disease progression by blinded physician review. ISI trends correlated with clinical improvement over time. During the first 12 h following presentation, ISI was unaffected by antibiotic treatment initiated in the emergency department (ED). After this period however, ISI values declined, reflecting the patient’s response to treatment, with Band 3 patients showing a 20% decline within the first two days of admission. ISI trends preceded Sequential Organ Failure Assessment (SOFA) score changes by two days. ISI also provided more stable and timely disease state assessments compared to traditional biomarkers (PCT, CRP, IL-6, and neutrophil elastase). Larger studies are needed to validate these findings and assess ISI’s clinical utility as a prognosticator of sepsis progression and treatment response.
Fluorinated Twists: A Pathway to a Stable Pd <sub>8</sub> L <sub>16</sub> Square Antiprism
Parameter analysis using swallowing sounds shows differences in bolus volume, bolus viscosity, sex, and age
Abstract Acoustic analysis of pharyngeal sounds during swallowing may capture physiological functions, providing a noninvasive method for early screening of swallowing decline. In this study, we examined changes in swallowing function across variations in bolus volume, bolus viscosity, sex, and age using parameters such as swallowing duration, average voltage, and swallowing power derived from swallowing sounds. The results showed that average voltage and swallowing power were significantly higher in men, both in younger (aged 20–25 years) and older (aged 50–65 years) groups, regardless of bolus volume and viscosity. These parameters generally decreased as bolus viscosity increased, with significant differences observed in all participants except older men. Regarding swallowing duration, older men took significantly longer to swallow a high-viscosity bolus compared to younger men, whereas no age-related differences were observed in women. This finding suggests that men experience greater age-related deterioration in swallowing than women. Overall, this simple and noninvasive measurement method appears to be an effective and objective tool for evaluating swallowing function. It is capable of detecting alterations associated with sex and aging, as well as changes in swallowing status related to the physical properties of dysphagia diets.
Enhancing Hydrogen Production from Bioenergy Crops via Photoreforming
Prediction of CD8+ T cell infiltration in the tumor microenvironment of HGSOC patients
Tungsten-Enabled Diels–Alder Cycloaddition and Cycloreversion of Arenes and Alkynes: Divergent Synthesis of Highly Functionalized Barrelenes and Arenes
Field experimental study on ground treatment of high fill embankments over expansive soils
Abstract In valley regions where high-fill embankments are constructed, inadequate foundation bearing capacity is a frequently encountered challenge. At the Ankang Airport relocation site, expansive soils primarily originating from the Upper to Middle Pleistocene are widely distributed, which introduces substantial safety concerns for the stability of high-fill embankments. Prior to large-scale filling, a field experimental site was selected within the project area to conduct in-situ tests for ground improvement. Two ground reinforcement techniques—dynamic compaction and gravel pile compaction using driven casing—were implemented and assessed. Evaluations of physical and mechanical properties, including plate load and standard penetration tests (SPT), were carried out before and after the improvement procedures. Test results showed that the natural foundation soil had a characteristic bearing capacity of 260 kPa. Among the applied techniques, dynamic compaction replacement proved most effective, enhancing the bearing capacity to 580 kPa. However, due to the complex stratigraphy and shallow bedrock in certain zones, dynamic compaction may negatively impact bedrock stability. Numerical modeling further validated that dynamic compaction replacement induced the smallest settlement deformation. Targeted solutions were proposed in response to the issues identified during testing, offering practical guidance for similar foundation treatments in high-fill embankments over expansive soils.
High-Luminescence Efficiency NIR-II Nanocrystals via Hierarchical Confinements for Imaging-Guided Surgery of Acute Intestinal Ischemia
Advanced algorithms for UAV tracking of targets exhibiting start-stop and irregular motion
Abstract This study presents breakthrough mathematical formulations for UAV tracking that achieve 56.1% HOTA accuracy for targets with start-stop and irregular motion—a 65% improvement over traditional Kalman Filter approaches. Unmanned aerial vehicles face significant challenges when tracking targets exhibiting abrupt velocity changes, intermittent stops, and nonlinear trajectories due to motion discontinuities, occlusions, and environmental noise. Conventional tracking algorithms, typically based on the assumption of constant velocity, are poorly suited for such dynamic scenarios. Our key innovation is an adaptive hybrid framework that automatically switches between motion models using innovation-based confidence metrics, maintaining tracking continuity during motion discontinuities. The framework introduces three novel technical contributions: (1) innovation-based model switching achieving 89.3% accuracy in motion transition detection, (2) enhanced α-β-γ-δ filtering with jerk compensation providing 15–25% performance improvement for irregular motion, and (3) SMART-TRACK’s 3D-to-2D uncertainty propagation enabling 2.3-second recovery time compared to 5.8-second average for traditional methods. A comprehensive evaluation on benchmark datasets (VisDrone2019, UAVDT, MOT17, DanceTrack) demonstrates that hybrid approaches combining adaptive filtering with deep learning-based detection achieve superior tracking accuracy and reliability. Flow-guided margin loss specifically addresses the motion long-tailed problem, improving large motion tracking by 18.7%. Environmental robustness testing shows that advanced algorithms maintain an average accuracy of 52.3% under corruptions, compared to 34.1% for traditional methods. These findings offer practical guidance for deploying robust UAV tracking systems that can handle unpredictable target behaviors in real-world applications.