Strategic Nitrogen Site Alignment in Covalent Organic Frameworks for Enhanced Performance in Aqueous Zinc-Iodide Batteries.

Aqueous zinc-iodine batteries (AZIBs) are gaining attention as next-generation energy storage systems due to their high theoretical capacity, enhanced safety, and cost-effectiveness. However, their practical application is hindered by challenges such as slow reaction kinetics and the persistent polyiodide shuttle effect. To address these limitations, we developed a novel class of covalent organic frameworks (COFs) featuring electron-rich nitrogen sites with varied density and distribution (N1-N4) along the pore walls.

Endoscopic-Assisted Mandibular Angle Revision Using Patient-Specific PEEK Implants: Surgical Accuracy and Aesthetic Outcomes in Over-Resected Mandibles.

Background: Mandibular angle osteotomy (MAO) is a popular procedure to improve facial aesthetics, however, over-resection of the mandibular angle can lead to both functional and aesthetic challenges. Precision is essential in restoring these over-resected mandibles to achieve balanced outcomes. Polyetheretherketone (PEEK) implants offer biocompatibility, durability, and customization potential, making them valuable for achieving precise and predictable results.

A five-gene prognosis model based on lysine β-hydroxybutyrylation site genes to predict the survival and therapy response in pancreatic adenocarcinoma.

Background: Pancreatic adenocarcinoma (PAAD) is one of the most malignancy diseases. Lysine β-hydroxybutyrylation (Kbhb) has been reported to involve various metabolism and cancer progression.

Methods: Data from online databases (TCGA and GEO) were retrieved for the selection of differential expressed Kbhb site genes (DTRGs).

HiQ-FPAR: A High-Quality and Value-added MODIS Global FPAR Product from 2000 to 2023.

The Fraction of Absorbed Photosynthetically Active Radiation (FPAR) is essential for assessing vegetation's photosynthetic efficiency and ecosystem energy balance. While the MODIS FPAR product provides valuable global data, its reliability is compromised by noise, particularly under poor observation conditions like cloud cover. To solve this problem, we developed the Spatio-Temporal Information Composition Algorithm (STICA), which enhances MODIS FPAR by integrating quality control, spatio-temporal correlations, and original FPAR values, resulting in the High-Quality FPAR (HiQ-FPAR) product.

Dual-Nano Composite Design with Grain Boundary Segregation for Enhanced Strength and Plasticity in CoCrNi-CuZr Thin Films.

Enhancing both strength and plasticity simultaneously in nanostructured materials remains a significant challenge. While grain refinement is effective in increasing strength, it typically leads to reduced plasticity due to localized strain. In this study, we propose a novel design strategy featuring a dual-nano composite structure with grain boundary segregation to enhance the deformation stability of nanostructured materials.