Institution
Fudan University
Recent research
- AI & ComputingOpen access
Industrial Practice of LLM-Based Test Case Carving and Assertion Generation (Experience Paper)
Enterprise regression testing for microservice systems is often constrained by incomplete or outdated documentation. In practice, QA engineers frequently rely on real execution traffic to reconstruct business scenarios; however, turning raw traffic into replayable regression test...
- AI & ComputingOpen access
Towards Iterative End-to-End Software Development: A Feature-Driven Multi-agent Framework
Recent advances in large language model agents offer the promise of automating end-to-end software development from natural language requirements. However, existing approaches largely adopt linear, waterfall-style pipelines, which oversimplify the iterative nature of real-world d...
- Society & EconomicsOpen access
Red-Teaming Coding Agents from a Tool-Invocation Perspective: An Empirical Security Assessment
Coding agents powered by large language models are becoming central modules of modern IDEs. They help users to perform various complex coding tasks by invoking tools. Although powerful, tool-invocation operation in coding agents opens a substantial attack surface for adversaries....
- Health & Medicine
BACKGROUND: Cisplatin-based chemotherapy serves as a fundamental approach in the treatment of cervical cancer; however, its effectiveness is often hindered by the development of drug resistance, which presents a significant obstacle in clinical practice. METHODS: studies were car...
- Health & MedicineOpen access
Abstract Purpose Approximately 30% of newly diagnosed diffuse large B-cell lymphoma (DLBCL) cases are categorized as low-risk by the international prognostic index (IPI). Polatuzumab vedotin, rituximab, cyclophosphamide, doxorubicin, and prednisone (Pola-R-CHP) has demonstrated e...
- BiologyOpen access
BACKGROUND: Hereditary ataxias are clinically and genetically heterogeneous, which complicates clinical management, genetic counseling, and scientific research. Efficient molecular diagnosis is essential but requires molecular epidemiological considerations due to the variable ge...
- Biology
Abstract N,N′-Disubstituted p-phenylenediamines (PPDs) and their oxidized derivatives (PPD-Qs) are widely used as rubber antioxidants, but their atmospheric sources remain incompletely characterized. Here we systematically investigate solid waste burning as a previously overlooke...
- Health & MedicineOpen access
Iron deficiency anemia (IDA) is the most common form of nutritional anemia in children worldwide. Helicobacter pylori (H. pylori) infection is a well-recognized contributor to pediatric IDA, through mechanisms including bleeding from peptic ulcers or erosions and impaired iron ab...
- Engineering & Technology
ABSTRACT Reversibly tuning the active structure of air cathodes in response to dynamic electrochemical conditions has long been sought for aprotic lithium‐oxygen batteries (LOBs). Here, we report a charge/discharge‐regulated transformation of lanthanum oxide nanocrystals on ruthe...
- Climate & EnvironmentOpen access
Mount Qomolangma (MQ) serves as a natural laboratory for investigating aerosol–cloud–precipitation interactions over the Tibetan Plateau (TP). Using satellite and comprehensive ground-based observations, we identify pronounced ice-cloud activation associated with transported exog...
- Physics & SpaceOpen access
Abstract We develop a comprehensive formalism for magnon transport in ferromagnetic insulators driven by a temperature gradient. The formulas for magnon current and corresponding magnon noise are derived herein based on the spin Hamiltonian of a topological magnon insulator, whic...
- Climate & EnvironmentOpen access
Chronic lower respiratory disease (CLRD) is a leading cause of death in the United States and imposes a substantial economic burden. Ecosocial environments are closely linked to population health, yet nationwide evidence on their associations with CLRD mortality remains limited....
- Health & Medicine
BACKGROUND: The prognostic significance of body weight in patients receiving thrombolysis for acute ischemic stroke remains uncertain. This study aimed to determine whether body weight modifies the comparative effects of low- versus standard-dose intravenous alteplase and to eval...
- Engineering & TechnologyOpen access
Tensor Completion using Subspace Information
Tensor completion has attracted significant attention in both applications and theoretical research. Under standard uniform sampling, existing polynomial-time guarantees generally require more observations than the number of degree of freedom, motivating the study of a possible s...
- Health & MedicineOpen access
Accumulation of foam cells (FCs) in interstitium is frequently observed in membranous nephropathy (MN). However, the pathophysiological significance of those cells remains poorly understood. It is generally accepted that interstitial FCs are derived from macrophages with lipid de...
- BiologyOpen access
ABSTRACT Limited aqueous dispersibility and potential off‐target toxicity hinder the development and clinical translation of proteolysis‐targeting chimeras (PROTACs). Herein, a bioactive self‐delivering “Split Nano‐Assembly of Photosensitizers and Targeting Chimeras” (SNAP‐TAC) t...
- Health & Medicine
ABSTRACT Background In‐stent restenosis (ISR) after percutaneous coronary interventions (PCI) remains a significant challenge. Aims This study aimed to investigate the predictive ability of coronary CT angiography (CTA) derived plaque and hemodynamic characteristics for ISR. Meth...
- Health & MedicineOpen access
ABSTRACT Acquired resistance to temozolomide (TMZ) remains a major therapeutic challenge in glioblastoma (GBM), with metabolic reprogramming emerging as a critical driver of treatment failure. Procollagen lysyl hydroxylase 1 (PLOD1) is identified as a key regulator of adaptive me...
- Health & Medicine
ABSTRACT Background Cardiovascular disease (CVD) drives mortality in chronic kidney disease (CKD) patients. Conventional risk tools underperform in CKD, and few machine learning (ML) models undergo cross‐national validation. We developed interpretable ML models for classifying CV...
- AI & Computing
ABSTRACT Missing data can pose fundamental challenges to statistical inference, with nonignorable missing or missing not at random (MNAR) presenting the most severe methodological difficulties. Despite substantial advances in MNAR inference methods, several limitations remain. Th...