Tianjin University of Technology

Research on cutting parameter optimization for plunge-cutting of cyclo-palloid spiral bevel gears

Cyclo-Palloid spiral bevel gears hold significant application value in high-end equipment manufacturing due to their superior transmission smoothness and high load-bearing characteristics. However, traditional machining processes face technical bottlenecks such as pronounced cutt...

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...

Dual‐Threshold Event‐Triggered Control for Positive Linear Systems

ABSTRACT This paper investigates event‐triggered stabilization for positive linear systems. First, we propose a novel dual‐threshold event‐triggered scheme (ETS) that takes full advantage of the systems' positivity without relying on norm calculations. This scheme dynamically ada...

Evaluating the Stability of Oxide‐Derived Cu─Sn Catalysts for CO 2 Reduction in Zero‐Gap Electrolyzers

ABSTRACT Bimetallic electrocatalysts hold substantial potential for scaling up CO 2 electroreduction, yet their practical deployment is hindered by a persistent gap between conventional three‐electrode testing and industrially relevant electrolyzer conditions. In this study, we e...

Unraveling the Micromechanisms of Plastic Synergy in TWIP Steel With a Multigradient Structure

Gradient structural design offers a novel and effective strategy to overcome the long‐standing strength‐ductility trade‐off in metallic materials. In the present study, to address the low yield strength of conventional twinning induced plasticity (TWIP) steel, a multigradient str...

Rapid screening and taste mechanism investigation of novel umami peptides from krill using combined virtual and actual enzymatic hydrolysis

Abstract To enhance the utilization value of krill, this study investigated umami peptides in krill using cutting-edge techniques, including virtual proteolysis combined with actual enzymatic hydrolysis, machine learning models, molecular docking, and molecular dynamics simulatio...

The Impact of the Digital Transformation of Focal Firms on Carbon Emission Reduction in Supply Chains

Although digital transformation is increasingly regarded as a vital pathway toward corporate decarbonization, its environmental impacts can spread beyond the boundaries of the undergoing firms. This study explores whether digital transformation implemented by focal firms affects...

Boosting Open‐Circuit Voltage to a Record 0.692 V in Solution‐Processed CIGSSe Solar Cells Through Surface Ga‐Rich Engineering

ABSTRACT The open‐circuit voltage ( V OC ) deficit remains a primary bottleneck hindering the efficiency of solution‐processed Cu(In,Ga)(S,Se) 2 (CIGSSe) solar cells, largely due to the uncontrolled elemental diffusion during high‐temperature selenization that prevents the format...

Atomically Precise Pt 3 Cu 2 Clusters Restore Energy Metabolism via Targeted Succinate Degradation

ABSTRACT Succinate is a critical intermediate for the tricarboxylic acid cycle, whose abnormal accumulation can disrupt energy homeostasis and trigger systemic inflammatory injury across dominant metabolic organs. Targeting succinate thus represents a pivotal strategy to reestabl...

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...

Uncertainty-Aware Vision-Based Landing-Site Perception for Autonomous UAV Landing in Urban Environments

Autonomous UAV landing in urban scenes requires a perception module that can identify candidate landing surfaces, reject structural and dynamic hazards, and express uncertainty before a downstream controller commits to a landing maneuver. This study reformulates UAV landing perce...