Zhejiang University of Technology

Multi-stage optimization of spray flow characteristics and structural performance for a pressurizer spray valve in nuclear power plants

To address abnormal flow increase and internal wear in the pressurizer spray valve (PSV) under small openings, this study conducts flow analysis and structural optimization. A CPO-SVR surrogate model combined with the hippopotamus optimization algorithm is proposed. The model ach...

SeqSol-FECS: An Integrated Deep Learning and Structural Modeling Framework for Protein Solubility Engineering

Abstract Escherichia coli is widely used as a workhorse for heterologous protein expression. However, insoluble protein expression is frequently encountered. The mechanisms underlying protein solubility remain incompletely understood, limiting the effectiveness of current protein...

Rate-Limiting Enzyme Design in Propionaldehyde Oxidation-Driven Dual-Cofactor Regeneration System

Abstract In vitro biomanufacturing offers an efficient platform for green synthesis; however, simultaneous in situ regeneration of NADPH and ATP remains challenging. Herein, a three-enzyme cascade driven by propionaldehyde oxidation is constructed for dual-cofactor regeneration,...

Pediatric cancer refractive-index sensing with a deep learning-enhanced far-infrared highly sensitive spoof surface plasmon polariton metasurface absorber

Pediatric cancers remain a primary cause of childhood mortality globally, yet early detection is frequently hindered by overlapping clinical symptoms and the limitations of conventional diagnostic methods; we propose a highly sensitive spoof surface plasmon polaritons (SSPP)-base...

InterMine: A foundation model-based multi-task interaction network for remote sensing interpretation of open-pit coal mining activity

The interpretation of open-pit coal mining activity is critical for resource management and ecological protection. It comprises two key tasks: extent extraction and fine-grained change detection. However, existing methods usually suffer from task separation, and their outputs can...

Horizon-evanescent scalar clouds from coupled rotation and magnetic fields around black holes

A bstract We show that black-hole rotation and an external magnetic field can jointly generate a distinct class of scalar clouds. Using the Kerr-Bertotti-Robinson geometry as a separable laboratory for magnetized rotating black holes, we study a charged massive scalar field and m...

Non-volatile metabolomic differentiation of geographical origin and quality grade in pre-Qingming Xihu Longjing green tea using in-source fragment ion-assisted annotation

Xihu Longjing green tea (XHLJT) faces challenges in origin and grade authentication due to mislabeling and limited chemical interpretability of sensory evaluation. Here, an enhanced untargeted metabolomics workflow integrating in-source fragment ion (ISFI) identification was deve...

Novel cocrystal inclusion compound of bezafibrate with L-proline: preparation, characterization and in vitro/in vivo evaluation

OBJECTIVE: To improve the solubility and dissolution of bezafibrate (BEZA) and enhance its bioavailability. SIGNIFICANCE: BEZA has poor solubility. This study has solved this limitation through a novel cocrystal-inclusion compound strategy. METHODS: The cocrystal of BEZA and L-pr...

Debris Flow Susceptibility Mapping Using Explainable Deep Learning in Eastern Hindukush Pakistan

ABSTRACT Debris flows are among the most destructive geomorphological hazards in mountainous regions, causing damage to human settlements, infrastructure and ecosystems. The Eastern Hindu Kush region of Pakistan is particularly vulnerable due to steep topography, intense monsoona...

Nanoplastics Mitigate 6PPD-Induced Zebrafish Cardiac Ferroptosis Mediated by the GRK5/p53/SLC7A11 Pathway

Abstract 6PPD, as an antioxidant in tire rubber, constitutes an emerging pollutant together with nanoplastics (NPs) widely present in the environment. This study explored the potential combined toxicity risk of 6PPD and 50 nm polystyrene nanoplastics (PS-NPs) to aquatic ecosystem...

Bimetallic Sulfides for Next‐Generation Energy Systems: Structure‐Performance Correlations, Multidimensional Regulation, and Controllable Synthesis

ABSTRACT Bimetallic sulfides (BMSs) have emerged as promising candidates for advanced energy storage and conversion owing to their unique synergistic effects and tunable electronic configurations. However, their practical implementation is heavily hindered by intrinsic limitation...

A Full-Cycle Recycling Strategy for End-of-Life Nanofiltration Membranes toward Lithium Extraction, Implemented by Membrane Cleaning and Targeted Restoration

Abstract Nanofiltration (NF) membranes have garnered extensive implementation for lithium extraction from salt lakes, yet the disposal and management of end-of-life (EOL) membranes after an extended service duration still represent a persistent and intractable challenge, particul...

Does DESI prefer Damped Oscillating Dark Energy over Cosmological constant?

Abstract We investigate a dark-energy equation of state governed by a damped harmonic oscillator equation, admitting underdamped, critically damped, and overdamped solutions. Confronting the model with Planck CMB distance priors, DESI BAO, BBN, cosmic chronometers, and three Type...

Palladium-Catalyzed Tandem Dearomative Heck Reaction of N -Propiolyl Indoles or Pyrroles with Aryl Bromides

Abstract An efficient Pd-catalyzed tandem dearomative Heck reaction of N-propiolylindoles or pyrroles with aryl bromides has been developed. The protocol provides access to a series of benzopyrrolizinone and pyrrolizinone derivatives bearing a quaternary stereocenter and a tetras...

AI-Assisted rational enzyme engineering: advancing biocatalysis for industrial applications

The emergence of artificial intelligence (AI) has initiated a paradigm shift in enzyme engineering. While traditional methods like directed evolution and rational design are proven, they often suffer from limited predictive power, scalability, and efficiency. The integration of A...

Noise-Robust Distributed PV Power Prediction with Sampling-Noise Awareness

This paper presents a forecasting strategy for distributed photovoltaic (PV) systems using the echo state network (ESN), aiming to improve forecasting performance with data noise at sampling points of dispersed PV data collection devices. In real-world scenarios, noisy and non-no...

Concrete-filled double skin steel tubes with large aspect ratio under axial compression

This study investigates the axial compressive behavior of long circular CFDST columns through experimental testing and finite element (FE) analysis. Three prismatic and three tapered with a uniform length of 3000 mm and aspect ratios ranging from 10 to 12 were tested under concen...

Comparison of Two Inoculum Preparation Protocols for Improving the Nutritional Quality of Soybean Meal Fermented with Aspergillus niger and Candida tropicalis

This study compared two inoculum preparation protocols for the mixed fermentation of unsterilized soybean meal (SBM) with Aspergillus niger and Candida tropicalis. The mono-culture-derived (MO-C) inoculation protocol involved separately cultivating A. niger and C. tropicalis and...

Engineering an ( R )‐Selective Transaminase for High‐Substrate‐Loading Asymmetric Amination of a Sterically Demanding N ‐Heterocyclic Ketone

ABSTRACT The biocatalytic asymmetric amination of bulky N ‐heterocyclic ketones is often limited by low enzyme activity and poor performance at high substrate loading. Herein, we developed an efficient ( R )‐selective transaminase for the synthesis of ( R )‐1‐Boc‐3‐aminopiperidin...

Femtosecond Laser-Induced Co3O4 Periodic Surface Structures of Active Facets for Gas Sensing

Abstract Achieving precise facet control in metal oxides is a critical challenge for advancing gas sensor performance, as high-energy crystal planes offer superior surface reactivity but are difficult to expose in a controlled manner on functional thin films. This work demonstrat...