A5061171837- Advanced biosensing and bioanalysis techniques
- Electrochemical sensors and biosensors
- Biosensors and Analytical Detection
- Adversarial Robustness in Machine Learning
- X-ray Diffraction in Crystallography
- Crystallization and Solubility Studies
- Electrochemical Analysis and Applications
- Analytical Chemistry and Sensors
- Advanced Biosensing Techniques and Applications
- Molecular Junctions and Nanostructures
- Advanced Malware Detection Techniques
- RNA Interference and Gene Delivery
- Molecular Sensors and Ion Detection
- Gold and Silver Nanoparticles Synthesis and Applications
- Monoclonal and Polyclonal Antibodies Research
- Anomaly Detection Techniques and Applications
- Luminescence and Fluorescent Materials
- Stroke Rehabilitation and Recovery
- Traumatic Brain Injury and Neurovascular Disturbances
- Digital Media Forensic Detection
- Acoustic Wave Resonator Technologies
- Genomics, phytochemicals, and oxidative stress
- Spatial Neglect and Hemispheric Dysfunction
- Acute Ischemic Stroke Management
- Advanced Neural Network Applications
Purdue University West Lafayette
2023-2024
Rutgers, The State University of New Jersey
2006-2023
Rutgers Sexual and Reproductive Health and Rights
2023
Global Medical Imaging
2022
Hunan University of Arts and Science
2010-2021
Nantong University
2010-2021
Affiliated Hospital of Nantong University
2010-2021
Zhejiang University of Technology
2021
Sichuan University
2016-2019
Chengdu University
2017-2019
We developed a signal-enhanced lateral flow immunoassay based on dual gold nanoparticle conjugates for the determination of hepatitis B surface antigen, in which no additional operation step signal amplification was required. The first were nanoparticles modified with biotin and antibody. second streptavidin. They immobilized different conjugate pads. When sample solution flowed along strip, captured test line via antigen–antibody reaction, while also through biotin–streptavidin. signals...
Non-conjugated fluorescent molecular cages of salicylaldehyde-based tri-Schiff bases with a trimethylamine bridge have small π-conjugated system but exhibit strong aggregation- and anion-induced emission.
Self-supervised learning in computer vision trains on unlabeled data, such as images or (image, text) pairs, to obtain an image encoder that learns high-quality embeddings for input data. Emerging backdoor attacks towards encoders expose crucial vulnerabilities of self-supervised learning, since downstream classifiers (even further trained clean data) may inherit behaviors from en-coders. Existing detection methods mainly focus supervised settings and cannot handle pre-trained especially...
Abstract A class of novel core/shell near‐IR fluorescent nanoparticles have been prepared through co‐hydrolysis a hydrophobic silicon alkoxide, hexadecyltrimethoxysilane, and tetraethyl orthosilicate as the dye‐doped core, followed by formation hydrophilic shell via hydrolysis in water‐in‐oil microemulsion. The hexadecyltrimethoxysilane produces highly core for entrapment low‐cost fluorescence dye, methylene blue. Experimental investigation this particular nanoparticle comparison with...
We report a class of multiresponsive colorimetric and fluorescent pH probes based on three different reaction mechanisms including cation exchange, protonation, hydrolysis K(I), Ca(II), Zn(II), Cu(II), Al(III), Pd(II) Salen complexes. Compared with traditional pure organic probes, these complex-based exhibited much better selectivity due to the shielding function filled-in metal ion in complex. Their sensing performances were affected by ligand structure central ion. This work is first...
Three binuclear cyclometalated Pt II complexes, [(ppy)Pt(µ‐SA)Pt(ppy)] (ppy = 2‐phenylpyridine, SA: salicylaldehyde azine), have been synthesized and characterized. Owing to the blockage of intramolecular rotation bridging SA ligands, all three complexes exhibit propeller‐type enantiomers aggregation‐induced phosphorescence (AIP). Interestingly, one complex with –NEt 2 groups instead long alkyl chains, amide, urea peptides, cholesterol, sugar, or steroidal was found show strong enhancement...
Chiral and non-conjugated fluorescent salen ligands with a cyclohexane/1,2-diphenylethane bridge have small π-conjugated systems but exhibit strong aggregation/anion/amino acid-induced emission.
Abstract Spinal cord injury (SCI) is associated with a dismal prognosis including severe voluntary motor and sensory deficits in the presence of current therapies, thus new efficient treatment strategies are desperately required. Along several advantages, such as easy accessibility, high-yield, potential enormous proliferation, menstrual blood-derived mesenchymal stem cells (MenSCs) have been proposed promising strategy regeneration medicine. In this study, MenSCs were transplanted into...
Model inversion reverse-engineers input samples from a given model, and hence poses serious threats to information confidentiality.We propose novel technique based on StyleGAN, whose generator has special architecture that forces the decomposition of an styles various granularities such model can learn them separately in training.During sample generation, transforms latent value parameters controlling these compose sample.In our inversion, target label some subject invert (e.g., private face...
The emergence of large language models (LLMs) has significantly accelerated the development a wide range applications across various fields. There is growing trend in construction specialized platforms based on LLMs, such as newly introduced custom GPTs by OpenAI. While provide functionalities like web browsing and code execution, they also introduce significant security threats. In this paper, we conduct comprehensive analysis privacy issues arising from GPT platform. Our systematic...
Diffusion models (DM) have become state-of-the-art generative because of their capability generating high-quality images from noises without adversarial training. However, they are vulnerable to backdoor attacks as reported by recent studies. When a data input (e.g., some Gaussian noise) is stamped with trigger white patch), the backdoored model always generates target image an improper photo). effective defense strategies mitigate backdoors DMs underexplored. To bridge this gap, we propose...
Federated learning collaboratively trains a neural network on global server, where each local client receives the current model weights and sends back parameter updates (gradients) based its private data. The process of sending these may leak client's data information. Existing gradient inversion attacks can exploit this vulnerability to recover training instances from vectors. Recently, researchers have proposed advanced techniques that existing defenses struggle handle effectively. In...