Beijing Institute of Technology

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...

Spontaneous ChlorineGeneration via Interfacial Oxidationof Chloride by O2 on Acidic Microdroplets

Abstract Reactive chlorine species significantly influence atmospheric chemistry, yet their sources remain inadequately defined. We have discovered a spontaneous formation pathway for substantial molecular chlorine (Cl2) from the oxidation of chloride (Cl–) through interfacial ox...

Indicator-Based Artificial Bee Colony Algorithm for Solving a Bi-objective Moving-Target Traveling Salesman Problem with Uncertainty

This paper investigates a novel bi-objective moving-target traveling salesman problem with uncertainty, where the target trajectories are uncertain. The objective is to maximize the number of visited targets within a bounded region while minimizing the travel cost. This problem i...

From making to judging: Art education in the AI era

Art creation becomes almost effortless with Generative AI. However, a bigger challenge arises at the heart of creativity: assessing the quality of what is produced and remaking it accordingly. This essay argues that the truly scarce and teachable skill in art education is not mer...

Automatic measurement of knee parameters in three-dimensional computed tomography models: a deep learning-based approach

This study evaluates a deep learning algorithm for automated measurement of knee parameters from three-dimensional (3D) computed tomography (CT) reconstructions. We analyzed 323 CT scans from patients with normal knee morphology (mean age 39.10 ± 11.34 years; 200 male), randomly...

Goal-directed synergistic fusion navigation for robust localization under cross-scenario spatial uncertainty

Abstract A goal-directed synergistic fusion navigation framework is essential for enabling accurate and reliable navigation of autonomous unmanned systems across diverse operational scenario environments, especially under challenging conditions such as Global Navigation Satellite...

Orientation-tunable correlated Chern insulating states in chiral twisted double bilayer graphene proximitized by WSe2

Moiré flat bands in graphene systems proximitized by transition-metal dichalcogenides (TMDCs) provide a setting where spin-orbit coupling (SOC) can reshape band topology. The crystallographic alignment angle Φ between TMDC and graphene layers is predicted to tune the balance of I...

Metal CoordinationCompounds Base on Cyanoborohydrideand 2-Imidazolidinone: Activity Fuels for Hypergolic and APComposite Propellant Applications

Abstract To develop activity fuels for dual application propellant systems, two novel metal coordination compounds based on Cyanoborohydride (CBH) and 2-imidazolidinone (2-IO), Mn(2-IO)4CBH2 (CBH-1) and Co(2-IO)4CBH2 (CBH-2), were successfully synthesized. Their potential to serv...

Suppression of NF-κB signaling by Ganoderma-Rhodiola compound preparation alleviates immune dysregulation in a rat model of simulated microgravity

Background The extreme environment of spaceflight facilitates the increased pathogenicity of microorganisms while simultaneously compromising the immune systems of astronauts, thereby escalating the risk of infections and threatening mission safety. Effective countermeasures to b...

Molecular Doping Induced High‐Performance Filterless Red‐Light Organic/Perovskite Photodetectors for Quantitative Analysis of Medical Photosensitizer Materials

ABSTRACT Red‐light narrowband photodetectors play indispensable roles in the photomedical industry, particularly in applications such as fluorescence imaging, photodynamic therapy, and non‐invasive optical diagnostics. Herein, we introduce a novel device architecture (OP‐PDs) tha...

Resolving the Mechano‐Electrochemical Dilemma in Structural Batteries via In Situ Entropy Engineering

ABSTRACT Structural batteries (SBs) offer a revolutionary approach to massless energy storage, but suffer from severe capacity degradation and mechanical failure due to coupled electrochemical and mechanical stresses, particularly when employing high‐energy layered cathodes. Here...

Magnetic Insights Into Heterogeneous and Nonequilibrium Electrochemical Reactions

ABSTRACT Electrochemical energy systems are governed by interfacial reactions that are spatially heterogeneous and far from equilibrium, causing deviations from ideal behavior and unexpected phenomena. Despite significant advances, conventional characterization techniques remain...

Predictive Value of Imaging Indicators for Disease Progression in Acute Stanford Type B Aortic Intramural Hematoma Without Ulcer-like Lesions

PURPOSE: To investigate the clinical outcomes of acute Stanford type B intramural hematoma (TBIMH) without ulcer-like lesions following medical management and to identify predictors of disease progression. MATERIALS AND METHODS: A retrospective analysis was performed on patients...

Hippopotamus optimization based control approach for performance enhancement of photovoltaic systems

Photovoltaic (PV) systems are widely integrated into the conventional power grid. It becomes a fundamental way for the energy landscape. One of the major challenges in deploying these technological resources is the grid’s instability. Therefore, enhancing the control strategy is...

From Data to Decision:A Closed-Loop Framework forCo-Optimizing Energy Recovery and SO2 Control in SludgeGasification

Abstract The rapid expansion of urban wastewater treatment has rendered the sustainable management of sludge a global environmental challenge. Gasification technology is emerging as a promising treatment pathway due to its high conversion efficiency and resource recovery potentia...

Metallomacrocyclic Ligands Stabilized Icosahedral Superatomic Nanoclusters With NIR‐I to NIR‐II Phosphorescence Modulation

ABSTRACT Coinage metal nanoclusters with near‐infrared‐II (NIR‐II, λ PL > 1000 nm) photoluminescence hold great promise for biological applications. Here, we report the first icosahedral M 13 cluster exhibiting NIR‐II phosphorescence, achieved through an unprecedented metallom...

Hybrid intelligent strategy driving high-dimensional encrypted orbital angular momentum comb multicasting towards optical data-transmission networks

Abstract Achieving higher degrees and dimensions of light is one of the accessible paths for increasing the capacity of optical data-transmission systems. Orbital angular momentum (OAM), owing to its infinite and mutually orthogonal nature, offers a promising carrier for high-cap...

Hierarchical DefectEngineering for Spectral PhononControl in Monolayer MoS2

Abstract Two-dimensional (2D) transition-metal dichalcogenides are attractive for nanoelectronics and energy harvesting, where thermal transport critically impacts device reliability, performance, and energy efficiency. Here, we establish hierarchical defect engineering in monola...

Numerical Study on Heat-Drag Reduction for Hypersonic Vehicles via Integrated Aerospike-Jet Configuration

Hypersonic vehicles are constrained by severe aerodynamic heating and drag, which limit both their performance and operational safety. To mitigate these critical issues, this study introduces an integrated aerospike configuration incorporating opposing and lateral jets, designed...

Deep Reinforcement Learning with Adaptive Guidance for Motion Control of Tilt-Servo Fully Vectoring UAV

Motion control of tilt-servo fully vectoring UAVs (TSFV-UAVs) is challenging due to their highly nonlinear dynamics. This paper proposes a reinforcement-learning-based training framework for the hierarchical control architecture of TSFV-UAVs. The framework introduces an adaptive...