Tianjin University

Drosophila melanogaster Models for Natural Product Discovery: Cross-Disease Conserved Signaling Networks and a Generalizable Translational Pipeline

Drosophila melanogaster shares approximately 75% of human disease-related genes and possesses sophisticated genetic toolkits, including GAL4/UAS, CRISPR-Cas9, and RNA interference (RNAi), making it a rapid, cost-effective, and genetically tractable in vivo platform for natural pr...

Hydrogen bond mediated oxidation enables sustained oxygen evolution at industrial current densities

Stable and efficient non−precious electrocatalysts are crucial for the industrialization of anion exchange membrane water electrolysis as a green hydrogen production technology. Here, we show a synergistic dual-anion engineering combining Se doping and surface [B(OH)4]− modificat...

Pricing on Carbon Transition Risks: Carbon Emission Trading and Stock Returns

ABSTRACT Relying on the phased rollout of the carbon emission trading (CET) pilot policy, we estimate a staggered difference‐in‐differences (DID) model to identify how transition risks induced by carbon pricing policies are priced in stock returns. Our results show that after CET...

Building digital business ecosystem resilience through orchestration capability: The sequential roles of ecosystem knowledge integration and ecosystem service innovation

This study examines how digital business ecosystem orchestration capability enhances ecosystem resilience through sequential mediation by ecosystem knowledge integration and ecosystem service innovation, while accounting for the moderating effect of ecosystem dynamism. Data were...

TTLD: transformer-based threatening language detection in urdu social media text

Organizations now treat social media activity as a live indicator of public sentiment, useful for decisions that depend on knowing what is happening in real time. The same platforms, however, also carry threatening language at scale, and that has direct consequences for public sa...

Integrated analysis of surface water-groundwater interactions and enhanced hydrological forecasting of glacierized river in cold and arid regions

Abstract In cold and arid regions, climate change has altered precipitation patterns and accelerated glacierized retreat, which imposes severe risks on the stability of regional hydrological systems. Combined with the strong interactions between surface water (SW) and groundwater...

Multicenter Privacy‐Preserving Federated Models for Predicting Postoperative Delirium and Acute Kidney Injury in Older Patients

ABSTRACT Postoperative delirium (POD) and acute kidney injury (AKI) are serious complications in older patients undergoing surgery, yet predictive model development is often constrained by single‐center data limitations and privacy concerns that preclude centralized data sharing....

A new platform for achieving long-term air-stable long persistent luminescence in amorphous organic system

Abstract Organic long persistent luminescence (OLPL) materials are at the forefront of research, undergoing rapid evolution due to their extensive potential applications. The realization of hour-level OLPL, particularly an air-stable one, remains a significant challenge. Here, we...

A Hierarchical Spatiotemporal Index for Bathymetric Data in Approach Channels

Approach channels are affected by sedimentation and scour, resulting in continuous changes in underwater topography. Such processes tend to generate shallow spots and inadequate navigable dimensions, posing safety hazards that undermine both waterway resilience and navigation cap...

Tuning Reaction Pathways by Controlling Atomic Assembly on Oxide Clusters

ABSTRACT Precisely controlling the assembly of atomic sites on oxide clusters (< 1 nm) represents an expanded yet challenging strategy for tuning catalytic performance. Here, we construct two well‐defined model catalysts, single‐atomic Pt on CuO x clusters (Pt 1 ‐CuO x /CN) an...

Prediction and Optimization of Freeform Impeller Machining Parameters Using a Hybrid Taguchi-Artificial Neural Network Model with the Levenberg–Marquardt Algorithm

Freeform machining of impellers involves extended cycle times, leading to high energy consumption and costs necessitating efficient process optimization. This study develops a CAD/CAM-integrated hybrid Taguchi-Artificial Neural Network (ANN) model to optimize machining parameters...

Modeling and experimental validation of an indirect active hybrid solar dryer for mint leaves: Coupled thermal and moisture-transfer analysis

A mathematical model was developed and experimentally validated to predict the thermal performance and drying behavior of an indirect active solar dryer (IAHSD) for mint leaves. The distinctive contribution of the proposed approach is its integration of solar-energy input, auxili...

Adaptive Improved Practical Finite‐Time Tracking Strategy for MIMO Stochastic Nonlinear Systems and Its Application in Flexible Robotic Manipulator

ABSTRACT This article proposes an improved command‐filtered adaptive practical fast finite‐time tracking strategy for multi‐input multi‐output (MIMO) stochastic nonlinear systems. Compared to existing approaches, it targets three critical unresolved challenges: (1) intermittent o...

Clinical and neural effects of a hybrid accelerated–maintenance iTBS protocol in adolescents with major depressive disorder

Intermittent theta burst stimulation (iTBS) has emerged as a safe and effective intervention for adolescents with major depressive disorder (MDD). While accelerated iTBS can induce rapid clinical improvement, intensive multi-day treatment schedules may present practical challenge...

Generative Logic and the Mediatization of Politics: Deepfake Parodies and Political Reinterpretation in China

This study revisits the theory of the mediatization of politics in the era of artificial intelligence (AI), questioning its applicability beyond Western democracies and proposing an extension through the concept of generative logic. Drawing on the analysis of AI-generated parodie...

Sustainable Recovery of Platinum Group Metals via Oxysalt Phase Reconstruction and Subsequent Deep Eutectic Solvent Leaching

Abstract The recycling of platinum group metals (PGMs) underpins sustainable development across semiconductors, new energy devices, and catalytic materials. Efficiently enriching and extracting these sparsely distributed PGMs from solid wastes such as spent catalysts still pose a...

Sella turcica dimensions in patients with severe skeletal malocclusion using cone-beam computed tomography: a retrospective observational study

Abstract Background As traditional two-dimensional cephalometric analyses of skeletal malocclusions often fail to capture complex craniofacial variations. Recent advances in three-dimensional (3D) imaging have highlighted the correlation between sella turcica morphology and skele...

Delivering building demand flexibility for grid-interactive operation: from perception and cognition to decision, execution, and verification

As both buildings and power systems undergo rapid decarbonization, demand flexibility (DF) in buildings has emerged as a key enabler for renewable energy integration, grid reliability, energy resilience, and efficient and low carbon operation. By dynamically adjusting building en...

SupramolecularlyStabilized Copper(I) Halides forHigh-Efficiency Near-Ultraviolet Emission and X-ray Scintillation

Abstract Near-ultraviolet (NUV)-emissive materials are crucial for advanced photonic technologies and high-resolution scintillators. However, existing NUV-emitting materials face challenges in balancing efficiency, stability, and scalability for broad optoelectronic applications....

Reversible Local CoordinationRelaxation of Lattice-EmbeddedRh Single Sites Enables Efficient and Durable Propene Hydroformylation

Abstract Efficient atomically dispersed Rh catalysts for propene hydroformylation require active sites that combine coordination flexibility during turnover with resistance to leaching and aggregation. Here we report Rh1@ZnO, in which Rh single sites are incorporated into cation...