A5014301947- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Health disparities and outcomes
- Radiation Therapy and Dosimetry
- Advanced MRI Techniques and Applications
- Real-Time Systems Scheduling
- Cancer, Lipids, and Metabolism
- Health and Wellbeing Research
- Cancer Research and Treatments
- Cholinesterase and Neurodegenerative Diseases
- Embedded Systems Design Techniques
- Peroxisome Proliferator-Activated Receptors
- AI and Multimedia in Education
- Advanced Technologies in Various Fields
- Radiation Detection and Scintillator Technologies
- Software Testing and Debugging Techniques
- Retinoids in leukemia and cellular processes
- Nuclear Physics and Applications
- Employment and Welfare Studies
- Alzheimer's disease research and treatments
- Geriatric Care and Nursing Homes
- Nanoplatforms for cancer theranostics
- Signaling Pathways in Disease
- Radiation Effects in Electronics
- Cancer, Hypoxia, and Metabolism
University of Miami
2025
Washington University in St. Louis
2005-2024
China Pharmaceutical University
2024
Inner Mongolia University of Technology
2021
University of Nebraska Medical Center
2015
Rutgers, The State University of New Jersey
2015
Rutgers Cancer Institute of New Jersey
2015
Abstract Background Alzheimer’s disease (AD) is the most prevalent neurodegenerative with limited disease-modifying treatments. Drug repositioning strategy has now emerged as a promising approach for anti-AD drug discovery. Using 5×FAD mice and Aβ-treated neurons in culture, we tested efficacy of Y-2, compounded containing antioxidant Edaravone (Eda), pyrazolone (+)-Borneol, an anti-inflammatory diterpenoid from cinnamon, approved use amyotrophic lateral sclerosis patients. Results We...
Abstract Lung cancer is the leading cause of cancer-related deaths, which adenocarcinoma most common subtype. Despite this, lung and its metastasis are poorly understood, due to difficulties in feasibly recapitulating disease progression predicting clinical benefits therapy. We outline a methodology develop immunogenic orthotopic mouse models, by injecting cell-specific cre viruses into genetically engineered mouse, mirrors defined International Association for Study Cancer. Evaluation...
Graphics Processing Units (GPU) are increasingly deployed on Cyber-physical Systems (CPSs), frequently used to perform real-time safety-critical functions, such as object detection autonomous vehicles. As a result, availability is important for GPU tasks in CPS platforms. However, existing Trusted Execution Environments (TEE) solutions with guarantees focus only CPU computing.
The main content of image style transfer transforms the from one region to another. This task puts forward new needs for traditional convolutional neural network architecture. Therefore, a deep hybrid generation model is usually used in study processing transfer. Image aims transform into idea by generation. paper proposes an image-style convolution migration based on mixing background. quality improved through processing. mainly relies combine confrontation and self-encoder. In this paper,...
Purpose: To develop a novel and rapid, SIFT-based algorithm for assessing feature motion on cine MR images acquired during MRI-guided radiotherapy treatments. In particular, we apply SIFT descriptors toward both partitioning into respiratory states tracking regions across frames. Methods: Among training set of fraction, densely assign to pixels within the images. We cluster these all frames in order produce dictionary trackable features. Associating best-matching at every frame among...
Purpose: To build a fast, accurate and easily‐deployable research platform for Monte‐Carlo dose calculations. We port the calculation engine PENELOPE to C++, accelerate calculations using GPU acceleration. Simulations of Co‐60 beam model provided by ViewRay demonstrate capabilities platform. Methods: built software that incorporates interface, CT‐phantom model, GPU‐accelerated engine, GUI front‐end. rewrote kernel in C++ (from Fortran) accelerated code on GPU. seamlessly integrated (obtained...
Purpose: KCl:Eu2+ storage phosphor shows promise for radiation therapy dosimetry. The purpose of this work is to investigate several important aspects material potential commercial use. Methods: chips were fabricated and a conformal coating using Parylene was applied. Material's dose response in 6 MV beam investigated Monte-Carlo simulations. We attempted micronize the materials spiral jet mill. As we did not have water-free glovebox, used commercially available non-hygroscopic...
Purpose: The clinical commissioning of IMRT subject to a magnetic field is challenging. purpose this work develop GPU-accelerated Monte Carlo dose calculation platform based on PENELOPE and then use the validate vendor-provided MRIdian head model toward quality assurance treatment plans 0.35 T field. Methods: We first translated from FORTRAN C++ validated that translation produced equivalent results. Then we adapted code CUDA in workflow optimized for GPU architecture. expanded upon original...
Purpose: To validate the dosimetric accuracy of a commercially available MR-IGRT system using combination 3D dosimetry measurements (with PRESAGE(R) radiochromic plastic and optical-CT readout) an in-house developed GPU-accelerated PENELOPE Monte-Carlo dose calculation system. Methods: 60Co IMRT subject to 0.35T lateral magnetic field has recently been commissioned in our institution following AAPM's TG-119 recommendations. We performed sensitivity studies 4ml cuvettes verify linearity,...
analysis results showed that each component of NPT contributes to the understanding formation home in LTC environments, including (1) making sense life transitions and being prepared (both informative cognitive), (2) drawing personal interpersonal resources settling down process, (3) actual efforts fit into environment, (4) constantly reflecting on personalenvironment (P-E) relationships.The authors found elders who are able undertake those adaptive tasks more likely generate a feeling than...
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Utilizing cumulative inequality theory, this longitudinal population-based study aims to explore the association between experiences of discrimination and effects on health. Respondents aged 51+ were drawn from Leave Behind Questionnaire Health Retirement Study in 2006 followed 2014 (N=7,100). Mixed models evaluated associations (major lifetime discrimination, living disadvantaged neighborhoods, perceived chronic workplace everyday discrimination) health (cognitive functioning, depression,...
The positive effects of volunteering, such as improved physical and mental health, are well-documented. However, studies specifically investigating the cessation volunteering in old age relatively limited. Among existing literature, one clear gap is lack understanding on multiple stops among older Americans. present study explores number times people exit from roles examines its association with financial resources (annual income, home-ownership), health (self-rated cognitive problems),...
The importance and benefits of volunteering in later life has long been an interest for gerontological professionals. Most existing literature have studied using cross-sectional data or within a short period time. While some people never stop start, little is known about the profiles these individuals. This study contributes to by investigating correlates health outcomes long-term volunteers non-volunteers nationally-representative from 1998 2014 Health Retirement Study. present includes...