A5102985691- Nanoplatforms for cancer theranostics
- Advanced Nanomaterials in Catalysis
- Advanced biosensing and bioanalysis techniques
- Biosensors and Analytical Detection
- Gold and Silver Nanoparticles Synthesis and Applications
- Luminescence and Fluorescent Materials
- Geotechnical Engineering and Soil Stabilization
- Geotechnical Engineering and Analysis
- Insect and Pesticide Research
- Neutrino Physics Research
- Marine and fisheries research
- Image and Signal Denoising Methods
- Coral and Marine Ecosystems Studies
- Photodynamic Therapy Research Studies
- Nanocluster Synthesis and Applications
- Animal Behavior and Welfare Studies
- Advanced Chemical Sensor Technologies
- Climate change and permafrost
- Photoacoustic and Ultrasonic Imaging
- Electrochemical sensors and biosensors
- Effects of Environmental Stressors on Livestock
- Vehicle Noise and Vibration Control
- Efficiency Analysis Using DEA
- Generative Adversarial Networks and Image Synthesis
- IoT and GPS-based Vehicle Safety Systems
Sun Yat-sen University
2024-2025
Henan Institute of Science and Technology
2025
Civil Aviation Flight University of China
2023-2025
Rice University
2025
University of Glasgow
2023-2024
Affiliated Hospital of Hangzhou Normal University
2024
Hangzhou Normal University
2023-2024
Nanjing Agricultural University
2023
Ministry of Agriculture and Rural Affairs
2022-2023
South China Normal University
2023
Abstract We explore the decay of bound neutrons in JUNO liquid scintillator detector into invisible particles (e.g., $$n\rightarrow 3 \nu $$ <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"> <mml:mrow> <mml:mi>n</mml:mi> <mml:mo>→</mml:mo> <mml:mn>3</mml:mn> <mml:mi>ν</mml:mi> </mml:mrow> </mml:math> or $$nn \rightarrow 2 <mml:mn>2</mml:mn> ), which do not produce an observable signal. The includes two modes: n { inv} <mml:mi>inv</mml:mi> and nn . decays s -shell $$^{12}\textrm{C}$$...
Many studies have concentrated on constructing supervised models utilizing paired datasets for image denoising, which proves to be expensive and time-consuming. Current self-supervised unsupervised approaches typically rely blind-spot networks or sub-image pairs sampling, resulting in pixel information loss destruction of detailed structural information, thereby significantly constraining the efficacy such methods. In this paper, we introduce Prompt-SID, a prompt-learning-based single...
Abstract To advance the development of fusion protein–targeting therapeutics, it is crucial to understand how patients with oncoproteins have been treated and what small molecules studied. fill this gap, we developed FusionPub, a knowledgebase therapeutic landscape human genes. We searched PubMed abstracts for 107K genes 14K drugs. also 18K proteins, considering all gene synonyms individual partner After manual curation, found 17 342 records from 9623 abstracts. For these drugs, provide...
As a critical component for photodynamic therapy toward cancer treatment, photosensitizers require high photoinduced reactive oxygen species generation efficiency, good biocompatibility, and phototoxicity. Herein, series of donor–acceptor conjugated polymers containing dibenzothiophene-S,S-dioxide derivatives are designed synthesized, which can be used as effective photosensitizers. The resulting copolymer PTA5 shows strong green light emission with photoluminescence quantum yields owing to...
Traditional methods of decorating silica shells with gold nanoparticles (Au NPs) have problems being time-consuming (usually over 10 h) and easy agglomeration. An ultrasonic–polymer collaborative-assisted synthesis method is presented in this article for the preparation monodisperse decorated controlled SiO2 NPs@SiO2). Mercaptan-based poly(ethylene glycol) (SH-PEG) was used to modify Au NPs improve dispersibility. Then, an ultrasound technique introduced accelerate formation NPs@SiO2...
<h2>ABSTRACT</h2> Ketosis is one of the most prevalent and complex metabolic disorders in high-producing dairy cows usually detected through analyses β-hydroxybutyrate (BHB) concentration blood. Our main objectives were to evaluate genetic parameters for blood BHB predicted based on Fourier-transform mid-infrared spectra from 5 305 d milk, estimate relationships with 7 reproduction traits 6 longevity Holstein cattle. Predicted records 11,609 (after quality control) collected 2016 2019 used...
Abstract Castration‐resistant prostate cancer (PCa) causes severe bone metastasis (BM), which significantly increases mortality in men with PCa. Imaging tests and radiometric scanning require long analysis times, expensive equipment, specialized personnel, a slow turnaround. New visualization technologies are expected to solve the above problems. Nonetheless, existing techniques barely meet urgency for precise diagnosis because human eyes cannot recognize capture even slight variations...
In order to ensure flight safety, the requirement of foundation settlement high-plateau airport is stricter than that in plain area.In monitor abnormal state runway process use a and prevent resolve major risk safety.It takes southwest mountain area as an example, selecting two representative A B sections for analysis.It first 60 days' monitoring data training samples, which shows nonlinear characteristics.The Long Short Term Memory neural network (LSTM) prediction model BP are constructed...
A thermosensitive nanoplatform CDTSL achieves NIR light controlled drug release and can be applied for photoacoustic imaging chemo-photothermal therapy.
Photodynamic therapy (PDT), which utilizes reactive oxygen species to ablate tumor, has attracted much attention in recent years.Photosensitizers with near-infrared (NIR) fluorescence as well efficient ROS generation ability have been used for precise diagnosis and simultaneous treatment of cancer.However, photosensitizers frequently suffer from low NIR quenching aqueous media due the aggregation.Methods: We prepare an effective AIE active emissive photosensitizer containing rhodanine...
Vision-based gait analysis and human identification systems have been widely proposed in the literature.However, these cannot be readily applied many real-time applications due to involved challenges such as video quality, occlusion, serious privacy concerns.To overcome issues, we propose LoGait system that leverages ubiqutous LoRa signals recognise different indoor environments.Our work is based on intuition walking pattern of users can distinguished by distinct stride size frequency.The...
While the aberrant low expression of metallothioneins (MTs) in tissue has been recognized as an effective indicator to spot occurrence early-stage malignant tumors, ultra-sensitive detection MTs at a concentration (<10 nM) remains be developed. Here, facile multicolor colorimetric visualization strategy is introduced detect extreme down 28 pM, enabled by catalytic activity-modulated etching plasmonic gold nanorods (CAEPAu). The reduction inhibited covering nanospheres with highly specific...
TPTHM NPs are candidates for PAI/PTT agents due to their NIR absorption, good biocompatibility, high photostability and photothermal conversion efficiency (38%).
Rapid and intelligent identification of prostate cancer (PCa) is critical for early diagnosis. Herein, a convenient, reliable, strategy proposed to screen PCa individuals through indirectly quantifying sarcosine (Sar), an indicator PCa, in clinical urine samples. Success achieved by integrating oxidase (SOX) as specific recognition unit; nanozyme-assisted multicolor visualization platform signal reporter. With the Fe-MOFs peroxidase, synergetic action SOX response gold nanorods (Au NRs)...
Abstract The Jiangmen Underground Neutrino Observatory (JUNO) is a large-scale neutrino experiment with multiple physics goals including determining the mass hierarchy, accurate measurement of oscillation parameters, detection from supernovae, Sun, and Earth, etc. JUNO puts forward physically technologically stringent requirements for its central detector (CD), large volume target (20 kt liquid scintillator, LS), high-energy resolution (3% at 1 MeV), high light transmittance, largest...
Data with large dimensions will bring various problems to the application of data envelopment analysis (DEA). In this study, we focus on a “big data” problem related considerably input-output data. The four most widely used approaches guide dimension reduction in DEA are compared via Monte Carlo simulation, including principal component (PCA-DEA), which is based idea aggregating input and output, efficiency contribution measurement (ECM), average measure (AEC), regression-based detection...