Shenzhen Technology University

Frequency-specific structure-function decoupling underlies core symptoms in schizophrenia

A major challenge in schizophrenia is its clinical heterogeneity, which has obstructed biomarker identification. Recent research indicates that frequency-specific structural eigenmodes, which govern distinct spatiotemporal propagation patterns, are linked to the functions of unim...

Elucidating anisotropic seed-mediated nanorod growth in solution

International audience

ERFMTDA: Predicting tsRNA–disease associations using an enhanced rotative factorization machine

Abstract Motivation tRNA-derived small RNAs (tsRNAs) have emerged as a novel class of regulatory molecules implicated in the pathogenesis of many human diseases, making them as promising biomarkers and therapeutic targets. However, existing computational methods for tsRNA–disease...

Disturbance-Aware Preview Control for Humanoid Robot Towing of Heavy Wheeled Loads with Traction Force Compensation

Most existing humanoid robots possess a payload capacity below 10 kg, which is insufficient for practical material transport tasks. A natural engineering solution is to enable humanoid robots to tow wheeled trailers or hand carts, transferring the vertical load to the wheeled car...

Peptide language pragmatic analysis and two-stage hierarchical learning framework for therapeutic peptide prediction

Therapeutic peptides exert pivotal effects in diverse biological processes, and have attracted significant interest in the field of biomedicine in recent years. However, most existing methods often fail to adequately capture the intricate interactions among amino acid residues an...

Electron-RichAcetylenic Nanostructures with In Situ Chelated UltrafinePalladium Nanoclusters for EfficientLiquid-Phase Reaction Catalyst

Abstract The development of uniformly distributed ultrafine metallic nanoclusters for advanced catalysts has attracted significant interest. However, synthesizing supports with specific electronic environments and well-defined pores to prevent aggregation remains challenging. Her...

A new methodology for habit plane and orientation relationship prediction in precipitation strengthening of magnesium alloys

A new approach is presented, integrating the maximum atomic matching on the habit plane and reduced interfacial energy, to predict the orientation relationships (OR) and habit planes of precipitates in magnesium alloys. Understanding these ORs and habit planes is essential, as th...

Optimized Molecular Nucleation Behaviors in Highly Efficient Organic Solar Cells Enabled by a Bezothiophene-Based Solid Additive

As the most critical component of organic solar cells (OSCs), the morphology of the active layer directly dictates the photovoltaic performance of the devices. Recent studies have demonstrated that tailoring the active layer morphology using solid additives is a facile and effect...

Achieving Synergistic Kinetics and Stability in Li‐Rich Mn‐Based Oxides via AlPO 4 ‐Assisted Multi‐Scale Regulation

ABSTRACT Realizing the full potential of Li‐rich Mn‐based oxides (LRMOs) is contingent upon overcoming the intrinsic conflict between sluggish anionic redox kinetics and structural instability. Conventional modification approaches often fail to harmonize kinetic enhancement with...

Effects of customer participation on employee service innovation: the multi-level moderating role of ambidextrous leadership

Purpose Service innovation (SI) is critical for tourism enterprises to sustain competitive advantage. However, tourism firms are characterized by high levels of Customer participation (CP), which may both foster and hinder SI. Drawing on the Job Demands-Resources model, this rese...

Comparative Study of Embedded Deep Learning Models for State of Charge Estimation of Lithium-Ion Batteries

Accurate state of charge (SOC) estimation is essential for the safe and efficient operation of lithium-ion battery systems, while deploying deep learning-based estimators in embedded battery management systems remains challenging due to limited memory, computational capability, a...

One‐Pot Direct Recycling of Spent LiCoO 2 via Synergistic Binder Defluorination and Phase Reconstruction

ABSTRACT Direct recycling of spent lithium‐ion battery cathodes is hindered by two interdependent challenges: persistent polyvinylidene fluoride (PVDF) binder residues that block particle surfaces and incomplete structural repair of degraded layered phases. Here, we report a one‐...

Extracting structure–activity relationships from patents with large language models

Abstract Background Persistent clinical failures in drug development arise from multiple factors, including imbalanced molecular properties, underscoring the need for systematic structure–activity relationship analysis to link structural modifications with optimized efficacy, sel...

An inverse design method for electric machines based on conditional variational autoencoder

Electric machines play a key role in electromechanical energy conversion across modern industrial systems. Conventional design methodologies typically involve many repetitive tasks that exhibit low computational efficiency. To address this challenge, this paper proposes an invers...

Apoptosis of Mdm2-deficient osteocytes enhances osteogenesis through TRPM8-enriched apoptotic vesicles

During homeostasis, osteocyte apoptosis is typically associated with bone loss through enhanced osteoclast recruitment and bone resorption. However, whether apoptotic osteocytes also regulate bone formation remains elusive. Here we report that conditional deletion of Mdm2, an E3...

Competitive crystallization‑orchestrated gypsum cryogels for next‑generation building envelopes

The growing demand for climate-resilient and functionally reliable buildings requires envelope materials to integrate thermal regulation, mechanical integrity, fire safety, environmental stability, and electromagnetic protection within lightweight porous structures. Herein, we re...