Jiale Liu

ORCID: 0000-0001-5608-5988
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About
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Research Areas
  • Effects and risks of endocrine disrupting chemicals
  • ZnO doping and properties
  • Machine Learning and Data Classification
  • Advanced Condensed Matter Physics
  • Physics of Superconductivity and Magnetism
  • Skin Protection and Aging
  • Data Stream Mining Techniques
  • Gas Sensing Nanomaterials and Sensors
  • Topological Materials and Phenomena
  • Musculoskeletal synovial abnormalities and treatments
  • Hematological disorders and diagnostics
  • Cholinesterase and Neurodegenerative Diseases
  • Kidney Stones and Urolithiasis Treatments
  • Muscle and Compartmental Disorders
  • GaN-based semiconductor devices and materials
  • Mobile and Web Applications
  • Semantic Web and Ontologies
  • Microplastics and Plastic Pollution
  • Visual Attention and Saliency Detection
  • Anodic Oxide Films and Nanostructures
  • Image and Object Detection Techniques
  • Topic Modeling
  • Insect Utilization and Effects
  • Advanced Graph Neural Networks
  • Speech and dialogue systems

Hebei General Hospital
2024

Shandong First Medical University
2024

Yanshan University
2024

Xi'an Jiaotong University
2022-2024

Institute of Food Science and Technology
2024

Shandong University
2023-2024

Hebei Medical University
2024

Tibet Academy of Agricultural and Animal Husbandry Sciences
2024

South China Normal University
2023

Ocean University of China
2021-2022

Synthetic antioxidants (AOs) are commonly used in everyday items and industrial products to inhibit oxidative deterioration. However, the presence of AOs food packaging packaged foods has not been thoroughly documented. Moreover, studies on human exposure through skin contact with or ingesting limited. In this study, we analyzed twenty-three AOs—including synthetic phenolic (SPAs) organophosphite (OPAs)—along six transformation various samples their materials. We found at concentrations...

10.1016/j.envint.2024.108613 article EN cc-by-nc Environment International 2024-03-28

Topological superconductivity (TSC) has drawn much attention for its fundamental interest and application in quantum computation. An outstanding challenge is the lack of intrinsic TSC materials with a p-wave pairing gap, which led to development an effective theory coupling s-wave gap Rashba spin-orbit (RSOC). However, RSOC-strict mechanism pose still both practical limitations. Here, we generalize this antisymmetric SOC (ASOC). Using k·p perturbation theory, demonstrate that 2D crystals,...

10.1021/acs.nanolett.2c03213 article EN Nano Letters 2022-11-09

Osteoarthritis (OA), a prevalent degenerative joint disease, significantly affects the well-being of afflicted individuals and compromises standard functionality human joints. The emerging biomarker, Cartilage acidic protein 1 (CRTAC1), intricately associates with OA initiation serves as prognostic indicator for trajectory toward replacement. However, existing diagnostic methods CRTAC1 are hampered by limited abundance, thus restricting precision specificity. Herein, novel approach utilizing...

10.1021/acsami.4c05638 article EN ACS Applied Materials & Interfaces 2024-07-06

Background Peritoneal dialysis (PD) is a common treatment method for patients with renal failure. While peritonitis and tube floating migration are commonly observed complications, visceral perforation caused by PD relatively rare. We present case report of patient undergoing due to failure, who encountered two instances perforation. In both occurrences, Single-Photon Emission Computed Tomography/Computed Tomography (SPECT/CT) played pivotal role in providing accurate diagnoses precise...

10.3389/fmed.2023.1327295 article EN cc-by Frontiers in Medicine 2024-01-08

Objective: Our previous studies substantiated that the biological activity of Schisandra chinensis lignans during treatment Alzheimer’s disease (AD) was mediated by neurotransmitter levels, and 15 its active components were identified. However, pharmacokinetic pharmacodynamic relationship has been less studied. The objective this study to investigate between pharmacokinetics pharmacodynamics in AD, establish a pharmacokinetic-pharmacodynamic (PK-PD) model. Methods Results: Herein, we...

10.3389/fphar.2024.1342121 article EN cc-by Frontiers in Pharmacology 2024-03-11

Topological superconductivity (TSC) has received great theoretical and experimental attention recently. Type-I Rashba nodal point (RNP) with isotropic band dispersions Fermi surface (FS) induced by the spin-orbit coupling (SOC) provides a promising route to artificial TSC, because inherent interspin (ISC) shares identical form as $p$-wave pairing $({k}_{x}{\ensuremath{\sigma}}_{y}\ensuremath{-}{k}_{y}{\ensuremath{\sigma}}_{x})$ exactly. Here we discuss potential TSC of other types RNPs...

10.1103/physrevb.104.245409 article EN Physical review. B./Physical review. B 2021-12-08

Researchers and practitioners have recently reframed powerful Large Language Models (LLMs) as agents, enabling them to automate complex tasks largely via the use of specialized functions. To facilitate development LLM we present a novel paradigm training agents without modifying weights, which is particularly useful when LLMs are difficult or inaccessible for modifications. Inspired by how humans continuously forge tools adapt real-world tasks, rather than change our biological structure fit...

10.48550/arxiv.2402.11359 preprint EN arXiv (Cornell University) 2024-02-17

Leveraging multiple large language model (LLM) agents has shown to be a promising approach for tackling complex tasks, while the effective design of particular application remains an art. It is thus intriguing answer critical question: Given task, how can we build team LLM solve it effectively? Our new adaptive team-building paradigm offers flexible solution, realized through novel agent named Captain Agent. dynamically forms and manages teams each step task-solving process, utilizing nested...

10.48550/arxiv.2405.19425 preprint EN arXiv (Cornell University) 2024-05-29

<title>Abstract</title> <bold>Background</bold> A considerable portion of patients with fever unknown origin (FUO) present concomitant lymphadenopathy. Diseases within the spectrum FUO accompanied by lymphadenopathy include lymphoma, infections, and rheumatic diseases. Particularly, lymphoma has emerged as most prevalent etiology associated However, conventional imaging techniques, including PET/CT, often struggle to accurately distinguish between malignant benign lymph node lesions. This...

10.21203/rs.3.rs-4625440/v1 preprint EN cc-by Research Square (Research Square) 2024-08-09

A considerable portion of patients with fever unknown origin (FUO) present concomitant lymphadenopathy. Diseases within the spectrum FUO accompanied by lymphadenopathy include lymphoma, infections, and rheumatic diseases. Particularly, lymphoma has emerged as most prevalent etiology associated Distinguishing between benign malignant lymph node lesions is a major challenge for physicians an urgent clinical concern patients. However, conventional imaging techniques, including PET/CT, often...

10.1186/s13550-024-01171-w article EN cc-by-nc-nd EJNMMI Research 2024-11-13

Background: Zophobas atratus larval meal (ZLM) is a high-quality feed supplement with potential activities that can improve fish growth performance and promote meat quality. However, there have been limited recent studies investigating the metabolic effects of ZLM. Therefore, this study aims to uncover metabolomic mechanism through which ZLM improves tilapia flavor using strategies. Method: In study, soybean in basal diets was replaced 15%, 30%, or 60% ZLM, where anti-nutrient factors were...

10.31083/j.fbl2911382 article EN cc-by Frontiers in Bioscience-Landmark 2024-11-15

Traditional enterprises face significant challenges in processing business documents, where tasks like extracting transport references from invoices remain largely manual despite their crucial role logistics operations. While Large Language Models offer potential automation, direct application to specialized domains often yields unsatisfactory results. We introduce Matrix (Memory-Augmented agent Training through Reasoning and Iterative eXploration), a novel paradigm that enables LLM agents...

10.48550/arxiv.2412.15274 preprint EN arXiv (Cornell University) 2024-12-17

Understanding and analyzing 2D/3D sensor data is crucial for a wide range of machine learning-based applications, including object detection, scene segmentation, salient detection. In this context, interactive segmentation vital task in image editing medical diagnosis, involving the accurate separation target from its background based on user annotation information. However, existing methods struggle to effectively leverage such information guide object-segmentation models. To address these...

10.3390/s23146394 article EN cc-by Sensors 2023-07-14

The digital manufacturing deviation inspection can be used to assess the dimension, form, and position errors, which is more efficient, consistent, robust than manual inspection. CAD models are as nominal data compared with scanned of parts obtain errors. model tessellation a pivotal step in inspection, directly determines reliability analytical results. It requires that generated triangle mesh has dense vertices, high approximation accuracy, consistent orientation. A single surface patch...

10.1109/tim.2022.3156988 article EN IEEE Transactions on Instrumentation and Measurement 2022-01-01
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