A5064872913- Molecular Sensors and Ion Detection
- Analytical Chemistry and Sensors
- Natural Language Processing Techniques
- Image Retrieval and Classification Techniques
- Machine Learning in Bioinformatics
- Supramolecular Chemistry and Complexes
- Teaching and Learning Programming
- Topic Modeling
- Handwritten Text Recognition Techniques
- Face and Expression Recognition
- Lipid Membrane Structure and Behavior
- RNA and protein synthesis mechanisms
- Atmospheric and Environmental Gas Dynamics
- Luminescence and Fluorescent Materials
- Innovative Teaching and Learning Methods
- Biomedical Text Mining and Ontologies
- Atmospheric chemistry and aerosols
- DNA and Nucleic Acid Chemistry
- Cognitive Computing and Networks
- Shoulder Injury and Treatment
- Advanced Vision and Imaging
- Face recognition and analysis
- Shoulder and Clavicle Injuries
- Advanced Image and Video Retrieval Techniques
- Orthopedic Surgery and Rehabilitation
University of Pennsylvania
2024-2025
Allegheny Health Network
2022-2024
Allegheny General Hospital
2022-2024
Vassar College
2023-2024
Massachusetts Institute of Technology
2024
Haute École Pédagogique du Canton de Vaud
2023-2024
Queen's University
2020-2023
Northeastern University
2010-2023
The University of Sydney
2019-2023
University of California, Berkeley
2022
Randomized clinical trials have shown that a sirolimus-eluting stent significantly reduces restenosis after percutaneous coronary revascularization. Diabetic patients are known to higher risk of compared with nondiabetic patients. The purpose this analysis was determine the impact stents on outcomes diabetic patients.The SIRIUS (SIRolImUS-coated Bx Velocity balloon-expandable in treatment de novo artery lesions) trial is randomized, double-blind study and bare metal implantation 1058 native...
Clinical artificial intelligence (AI) applications are rapidly developing but existing medical school curricula provide limited teaching covering this area. Here we describe an AI training curriculum developed and delivered to Canadian undergraduates recommendations for future training.
The development of autonomous driving has brought with it requirements for intelligence, safety, and stability. One example this is the need to construct effective forms interactive cognition between pedestrians vehicles in dynamic, complex, uncertain environments. Pedestrian action detection a form that fundamental success technologies. Specifically, detect pedestrians, recognize their limb movements, understand meaning actions before making appropriate decisions response. In survey, we...
Social media is an amazing platform for enhancing public exposure. Anyone, even social bots, can reach out to a vast community and expose one's opinion. But what happens when fake news (un)intentionally spread within This paper reviews techniques that be used fabricate depicts scenario where bots evolve in fully semantic Web infest with automatically generated deceptive information.
A proliferation of data sources has led to the notional existence an implicit Knowledge Graph (KG) that contains vast amounts biological knowledge contributed by distributed Application Programming Interfaces (APIs). However, challenges arise when integrating across multiple APIs due incompatible semantic types, identifier schemes, and formats. We present ROBOKOP KG (http://robokopkg.renci.org), which is a was initially built support open biomedical question-answering application, (Reasoning...
The liposomal membrane transport assay, which uses 8-hydroxypyrene-1,3,6-trisulfonic acid to monitor the internal pH of vesicles (the HPTS assay), is a widely used technique for analysing activity anionophore-facilitated across phospholipid membrane. This paper describes stepwise conduct this detailing both perks and pitfalls using method determine an anionophore mechanism.
The quantification of anion binding by molecular receptors within lipid bilayers remains challenging. Here we measure in creating a fluorescent macrocycle featuring strong sulfate affinity. We find the determinants to be different from those expected that govern solution. Charge-dense anions H
A new facial biometric scheme is proposed in this paper. Three steps are included. First, a nontensor product bivariate wavelet utilized to get different frequency components. Then modified 2D linear discriminant technique (M2DLD) applied on these components enhance the discrimination of features. Finally, support vector machine (SVM) adopted for classification. Compared with traditional tensor wavelet, can detect more singular features high-frequency Earlier studies show that sensitive...
Face recognition has received significant attention in the last decades for many potential applications. Recently, scale invariant feature transform (SIFT) becomes an interesting technique task of object recognition. This paper investigated application SIFT approach to face and proposed a new method based on support vector machine (SVM) problem. First features are generated then SVM is used classification. The presented been tested with ORL database Yale database, results demonstrate its...
In response to the COVID-19 pandemic, we established COVID-KOP, a new knowledgebase integrating existing Reasoning Over Biomedical Objects linked in Knowledge Oriented Pathways (ROBOKOP) biomedical knowledge graph with information from recent literature on annotated CORD-19 collection. COVID-KOP can be used effectively generate hypotheses concerning repurposing of known drugs and clinical drug candidates against by establishing respective confirmatory pathways action.COVID-KOP is freely...
End-to-end neural network models achieve improved performance on various automatic speech recognition (ASR) tasks. However, these perform poorly edge hardware due to large memory and computation requirements. While quantizing model weights and/or activations low-precision can be a promising solution, previous research ASR is limited. In particular, the approaches use floating-point arithmetic during inference thus they cannot fully exploit efficient integer processing units. Moreover,...
Abstract. The impact of aerosol fluorescence on the measurement water vapor by UV (355 nm emission) Raman lidar in upper troposphere and lower stratosphere (UTLS) is investigated using long-term records three high-performance lidars contributing to Network for Detection Atmospheric Composition Change (NDACC). Comparisons with co-located radiosondes backscatter profiles indicate that laser-induced smoke layers injected into pyrocumulus events can introduce very large chronic wet biases above...
This paper describes FERRET, an interactive question-answering (Q/A) system designed to address the challenges of integrating automatic Q/A applications into real-world environments. FERRET utilizes a novel approach - known as predictive questioning which attempts identify questions (and answers) that users need by analyzing how user interacts with while gathering information related particular scenario.
Abstract. As part of international efforts to monitor air quality, several satellite missions such as the Tropospheric Monitoring Instrument (TROPOMI) were deployed and others, like Emissions: Pollution (TEMPO), are planned for near future. In support validation these missions, major upgrades tropospheric ozone lidar located at Jet Propulsion Laboratory Table Mountain Facility (TMF) recently performed. These modifications include full automation system, which now allows unattended...