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High-resolution planetary remote sensing imagery provides detailed information for geomorphological and topographic analyses. However, acquiring such imagery is constrained by limited deep-space communication bandwidth and challenging imaging environments. Conventional super-resolution methods typically employ separate models for different scales, treating them as independent tasks. This approach limits deployment and real-time applications in planetary remote sensing. Moreover, capturing global context is crucial in planetary remote sensing images due to their contextual similarities. To address these limitations, we propose Discrete Cosine Transform (DCT)–Global Super Resolution Neural Operator (DG-SRNO), a global context-aware arbitrary-scale super-resolution model. DG-SRNO achieves super-resolution at any scale using a single framework by learning the mapping between low-resolution (LR) and high-resolution (HR) function spaces. We mathematically prove the global receptive field of DG-SRNO. To evaluate DG-SRNO's performance in planetary remote sensing tasks, we introduce the Ceres 800 dataset, a planetary remote sensing super-resolution dataset. Extensive quantitative and qualitative experiments demonstrate DG-SRNO's impressive reconstruction capabilities. [ABSTRACT FROM AUTHOR]

Amestolkins A (1) and B (2), two previously undescribed phthalides sharing the same planar structure of (1, 5-dihydroxyhexyl)-7-hydroxyisobenzofuran-1(3H)-one were isolated from Talaromyces amestolkiae. Their absolute configurations were elucidated by comprehensive analyses of spectroscopic evidences in high-resolution electrospray mass spectra (HRESIMS) and nuclear magnetic resonance (NMR) combined with electronic circular dichroism (ECD) and NMR calculations. 1 and 2 showed anti-neuroinflammatory activity by inhibiting the gene expressions of proinflammatory factors including C-C motif chemokine ligand 2 (CCL-2), tumor necrosis factor-α (TNF-α) and interleukin 6 (IL-6), as well as attenuating the excretion of inducible nitric oxide synthase (iNOS) in BV-2 microglial cells at the concentration of 30 μM. [ABSTRACT FROM AUTHOR]

Background and Objectives: Several studies have shown that glutamine (Gln) may play an important role in energy metabolism, inflammatory reactions, and immune processes in patients with severe acute pancreatitis (SAP). Nevertheless, the results of individual randomized controlled trials (RCTs) on Gln nutrition support for SAP are contradictory. This systematic review and meta-analysis evaluated the clinical benefit of Gln-supported early enteral nutrition (G+EEN) in patients with SAP.Methods and Study Design: Cochrane Library, PubMed, Embase, CNKI, Wan Fang, and Chinese Biomedical Literature Database were searched for relevant studies published before December 2018. RCTs of G+EEN versus standard early enteral nutrition (EEN) for SAP were selected, with both started within 48 h of admission.Results: Seven clinical RCTs including a total of 433 patients (EEN group: 218 patients; G+EEN group: 215 patients) were included. Compared with EEN, G+EEN increased serum albumin (standard mean difference [SMD]=0.74; 95% confidence interval [CI], 0.33-1.15; p<0.01), reduced serum hypersensitive C-reactive protein (SMD=-1.62; 95% CI, -1.98 to -1.26; p<0.01) and risks of mortality risk (risk ratio= 0.38; 95% CI, 0.16-0.90; p=0.03) and multiple organ dysfunction syndrome (MODS)(risk ratio=0.37; 95% CI, 0.15-0.94; p<0.01), and shortened length of hospital stay (SMD=-1.19; 95% CI, -1.88 to 0.49; p<0.01); moreover, it did not significantly increase the incidence of infection-related complications, operative interventions, or APACHE II scores.Conclusions: G+EEN is beneficial in SAP management. [ABSTRACT FROM AUTHOR]