University of Jinan

ALOX15-Inhibitory Peptides Derived from Coffee Bean Protein Hydrolysates Confer Neuroprotection against Lipid Peroxidation

Abstract Coffee beans are widely consumed worldwide and are known for their central nervous system-stimulating effects, mainly attributed to caffeine and other small molecules. However, the neuroprotective potential of coffee bean-derived peptides remains largely unexplored. In t...

Microalgae-based living hydrogels as engineered soil biogeochemical reactors: bridging synthetic microbiomes, climate resilience, and sustainable remediation

Microalgae-based living hydrogels represent an emerging class of engineered living materials (ELMs). They combine biological activity with the physicochemical properties of hydrated polymer networks to form a multifunctional platform that is potentially useful in soil remediation...

Dextran-Mediated Macromolecular Crowding Drives the Formation of Multiphase Complex Coacervates from Soy Glycinin and Gum Arabic

Abstract Macromolecular crowders pose great impact on coacervation but that on the protein–polysaccharide complex coacervation has yet been investigated. In this study, dextran (Dex) was used as a crowder to investigate its influence on the complex coacervation of soy glycinin (S...

Photoinduced Nickel-Catalyzed Cascade Cyclization and Cyanation of Functionalized Alkynes

Abstract We report a photoinduced nickel-catalyzed cyclization/cyanation of functionalized alkynes using 2-(diisopropylamino)acetonitrile as a practical cyanide surrogate. Under mild conditions with Cat. 1, KI, Zn, and 395 nm LED irradiation, the reaction affords diverse cyano-co...

Dataset Construction of CO2 Flux over Shifting Sand in the Taklimakan Desert and Assessment of Carbon Sequestration Capacity

Desert ecosystems, which cover extensive global regions, play an essential yet often-overlooked role in sequestering atmospheric CO 2 at substantial yet gradual rates, primarily due to insufficient monitoring, data scarcity, and limited research attention. Current assessments of...

Exploring baryon semileptonic decays through polarization and entanglement

Abstract The unitarity of the Cabibbo–Kobayashi–Maskawa (CKM) matrix is a cornerstone of the standard model (SM). Precise tests of this unitarity require independent determinations of its elements, such as | V us |, which governs the transition between strange and up quarks. Curr...

Unlocking the ecological dividend of green innovation: the dual moderating effects of institutional constraints and structural enablers

Green technology innovation possesses the dual attributes of environmental protection and economic development, making it an important pathway for achieving the ‘dual carbon’ goals and supporting ecological civilisation construction and sustainable urban development. Using 2006–2...

Machine learning enhanced prediction of optical properties via reverse Monte Carlo method

We present a machine learning (ML) approach for the accelerated extraction of optical properties from the experimental reflection electron energy loss spectroscopy (REELS) spectra by the reverse Monte Carlo (RMC) method. Taking platinum (Pt) as an example, experimental REELS spec...

The cholesterol, high-density lipoprotein, and glucose index and its derived indices predict cardiometabolic multimorbidity development and progression in metabolic dysfunction-associated steatotic liver disease individuals: a prospective cohort study

Dysregulation of cholesterol, high-density lipoprotein cholesterol, and glucose metabolism is thought to be an important metabolic link between metabolic dysfunction-associated steatotic liver disease (MASLD), type 2 diabetes (T2D), and cardiovascular disease. Although the choles...

A closed-loop authentication-detection security framework for edge computing environments integrating trusted computing and distilled pre-trained language models

Edge computing environments hosting tens of thousands of nodes face concurrent threats including node spoofing, data tampering, and distributed denial-of-service attacks, yet existing security solutions address authentication, intrusion detection, and resource scheduling in isola...

Rapid Declinesin European Traffic NO x and NMVOC EmissionsRevealed by Eddy-Covarianceand Remote Sensing

Abstract Reliable quantification of anthropogenic emission trends remains a major uncertainty in air-quality and climate assessments. Here we present nearly a decade of eddy-covariance flux measurements of NOx, nonmethane volatile organic compounds (NMVOCs), and CO2 in the Alpine...

A MultitaskLarge Reasoning Model for Molecular Science

Abstract Artificial intelligence in molecular science must move beyond pattern recognition toward chemically valid and interpretable reasoning. We present a task-adaptive large reasoning model that integrates chemical knowledge through a synergistic multispecialist architecture,...

Proximal ProteomicsReveals Potential Regulators ofProgrammed Death-Ligand 1 in Human Cancer

Abstract Programmed death-ligand 1 (PD-L1) is a key mediator of tumor immune evasion, but the protein networks governing its post-translational regulation remain incompletely understood. Here, we used PhastID-based proximity labeling to map the PD-L1 proximal proteome and integra...

Heat-treating FM with Clamshell Powder Ameliorate Postmenopausal Osteoporosis by Regulating Bone-Fat Metabolism.

Abstract Postmenopausal osteoporosis is characterized by a disruptive bone‑fat imbalance, yet effective therapies remain limited. Here, for the first time, we link the traditional use of fish maw heat‑treated with clam shell powder (CPFM) to the restoration of bone‑fat balance. U...

Surface-EngineeredMain-Chain Azobenzene-ContainingPolyurethanes: toward Stimuli-Responsive Microstructure and ColorRegulation

Abstract Endowing material surfaces with on-demand, multistimulus responsiveness holds great promise for surface and interface engineering, but remains challenging. Herein, we report a versatile surface-engineering strategy to construct functional surfaces with tailorable microst...

Unlocking the Potential of Sparingly Soluble LiNO 3 in Carbonate Electrolytes With Pyridine as a Carrier Cosolvent for 450 Wh Kg −1 High‐Voltage Lithium Metal Batteries

ABSTRACT LiNO 3 is a highly effective electrolyte additive for ether‐based lithium metal batteries, but its extremely poor solubility in carbonate electrolytes has long restricted its application in high‐voltage high‐energy‐density systems. In this study, we develop a pyridine ca...

Engineering a chitosan-based interwoven network on carbon fibers for synergistically enhanced mechanical properties and EMI shielding performance of composites

Carbon fiber-reinforced polymer composites (CFRPs) have been widely utilized in aerospace, transportation, and electronic engineering owing to their high specific strength, stiffness, and lightweight nature. However, achieving simultaneous enhancement of mechanical performance, e...

Unlocking the Potential of Sparingly Soluble LiNO 3 in Carbonate Electrolytes With Pyridine as a Carrier Cosolvent for 450 Wh Kg −1 High‐Voltage Lithium Metal Batteries

ABSTRACT LiNO 3 is a highly effective electrolyte additive for ether‐based lithium metal batteries, but its extremely poor solubility in carbonate electrolytes has long restricted its application in high‐voltage high‐energy‐density systems. In this study, we develop a pyridine ca...

Calculation of backscattering correction factors in AES for compounds: Unraveling matrix effects

Backscattering correction factor (BCF) data are essential for quantitative Auger electron spectroscopy (AES) analysis. This study computes BCFs for nine oxides and three zinc chalcogenides by using a Monte Carlo method that incorporates dielectric function theory for discrete ine...

Machine Learning‐Guided Additive Manufacturing of Multilayer Aerogels for Ultrabroadband, Ultralow‐Reflection Electromagnetic Shielding

The development of broadband, low-reflection electromagnetic interference (EMI) shielding materials is critically needed to suppress secondary electromagnetic pollution. Here, we report a machine learning (ML)-guided additive manufacturing strategy for precisely fabricating multi...