Jiangsu University

Activatingthe Gate-Opening Effect in Multivariate MOFs by Defect Engineeringfor Oxidative Desulfurization

Abstract Metal–organic frameworks (MOFs) have shown great potential in catalytic oxidative desulfurization (ODS), yet their efficiency is often hampered by intrinsically inaccessible pore networks that impede the contact between active sites and reactants. To unlock the potential...

High‐Pressure Homogenization in Food Processing: Mechanisms, Applications, and Industrial Translation

ABSTRACT High‐pressure homogenization (HPH), including ultra‐high‐pressure homogenization (UHPH) as its higher pressure subset, has evolved from conventional size‐reduction operations into versatile food‐processing platforms for emulsification, preservation, biopolymer restructur...

Research on adaptive control of impurity and loss rate in rice cleaning by cyclone separation cylinder based on fuzzy PID strategy

To improve the poor adaptability of the cyclone cleaning and separation cylinder under different rice varieties, feed quantity, and operating conditions, this study proposed an automatically adjustment method for operational parameters. Multiple sensors were integrated into the s...

Does integrated care reshape service utilization patterns? Evidence from China’s compact county-level medical community on utilization, cost, and equity

Promoting equitable service utilization is central to realizing the “Healthy China” strategy. Since 2019, China has vigorously advanced the construction of compact county-level medical community (CCMC), aiming to restructure the primary healthcare delivery system through organiza...

Integrating multimodal dot product fusion with conditional generative adversarial network to build a C-P-S-P chain in Mg alloys

Establishing quantitative relationships among composition, process, structure, and property (C-P-S-P) is a fundamental challenge in materials science, yet conventional models relying solely on numerical data fail to capture microstructural spatial heterogeneity, limiting predicti...

Draft Tube Wake Vortex Evolution and Suppression in a Pump as Turbine with Splitter Blades Based on a Modified Burgers Vortex Model

Owing to its efficient energy recovery capability, the pump as turbine (PAT) has attracted considerable attention and has been widely applied in micro hydropower systems. However, under off-design conditions, large-scale helical vortex ropes are readily induced in the draft tube,...

Design and Validation of a Permanent Magnet Self-Locking Electromagnetic Balancing Device for Combine Harvester Threshing Drums

Imbalance-induced vibration of the threshing drum is a common problem during rice harvesting, especially when rice straw becomes entangled with the threshing components. In this study, a permanent magnet self-locking electromagnetic balancing device was designed for a combine har...

Enzyme Engineering:From Classical Strategies to AI-DrivenBiocatalyst Design

Abstract Nowadays, enzyme engineering has moved from traditional structure-based mutagenesis and directed evolution to data-intensive, AI-assisted design paradigms that involve the rapid discovery and optimization of biocatalysts. Whereas classical approaches relied on rational d...

Review on Metal Micro-Hole Machining and Its Composite Machining Technologies: Current Status and Progress

The advanced manufacturing of metal micro-holes is of great significance in various fields of industrial production, including aerospace, automotive, electronics, and healthcare. New technologies are constantly emerging, including various multi-energy field manufacturing technolo...

External‐Field‐Enhanced Helmholtz‐Layer Local Charge Density Enables C─C Coupling in Pure‐H 2 O‐Fed CO 2 Electroreduction To C 2+ Products

ABSTRACT Electrochemical CO 2 reduction (ECO 2 R) is a promising decarbonization technology but is limited by the trade‐off between catalytic performance and system stability. Here, we present an external‐field‐assisted strategy to enhance the local charge density of the Helmholt...

A Multi-Modal Pre-training Framework-Driven Active Learning System for Enhanced Protein Evolution of Cs CE

Abstract Protein language models have shown strong potential in modeling fitness landscapes for directed evolution; however, their predictive accuracy and generalization to unexplored sequence space remain limited under few-shot learning conditions. Here, we present MmALS (Multi-...

BioinspiredDesign Strategies and Thermal TransportMechanisms in Thermally Conductive Composites

Abstract The rapid development of high-power-density electronics has created increasing demands for thermal management materials, making thermally conductive composites (TCCMs) important candidates for electronic packaging and related applications. Structural design is an effecti...

Growth-promoting influence of selenium nanoparticles and ulvan derived from Ulva lactuca on the growth of maize during the seedling stage

Abstract Marine algae contain a vast array of bioactive molecules with diverse uses. One of their interests is to apply seaweed-derived nanoparticles or polysaccharides as bio-stimulants of seed germination for plant growth promotion. Two products derived from the green alga Ulva...

Physicochemical antibacterial mechanisms of rose-thorn-inspired micro-nano Cu conical coatings

The rising prevalence of bacterial antibiotic resistance threatens human health and public safety, posing a critical challenge to conventional antimicrobial strategies. Inspired by rose thorn architecture, this study employs Janus Green B (JGB) as a crystallization modifier in a...

Combining the vegetation indices and bionic optimization random forest for predicting SPAD values in maize leaves

Leaf Soil and Plant Analyzer Development (SPAD) is an important physiological index reflecting the healthy growth and development of maize. Accurate estimation of leaf SPAD by vegetation indices is of great significance for regulating maize growth, optimizing nutrient management...