A5061241022- Healthcare Policy and Management
- Hydrological Forecasting Using AI
- Oceanographic and Atmospheric Processes
- Phase Change Materials Research
- Intracranial Aneurysms: Treatment and Complications
- Respiratory Support and Mechanisms
- Efficiency Analysis Using DEA
- Heat Transfer and Optimization
- Trauma and Emergency Care Studies
- Disaster Management and Resilience
- Advanced Wireless Communication Technologies
- Healthcare Systems and Reforms
- Medical Imaging and Analysis
- Musculoskeletal pain and rehabilitation
- Functional Brain Connectivity Studies
- Energy Load and Power Forecasting
- Disaster Response and Management
- Advanced Malware Detection Techniques
- Parkinson's Disease Mechanisms and Treatments
- Advanced Neuroimaging Techniques and Applications
- Spine and Intervertebral Disc Pathology
- Health Systems, Economic Evaluations, Quality of Life
- Simulation-Based Education in Healthcare
- Advanced MRI Techniques and Applications
- Ocean Waves and Remote Sensing
Scripps Mercy Hospital
2024
Lexington City Schools
2024
Johns Hopkins Medicine
2022-2023
Johns Hopkins University
2020-2023
Carnegie Mellon University
2018-2023
Princeton University
2023
University of Maryland, Baltimore
2023
University of Georgia
2023
Marquette University
2019-2022
University of Illinois Urbana-Champaign
2019-2022
Physical activity provides clinical benefit in Parkinson’s disease (PD). Irisin is an exercise-induced polypeptide secreted by skeletal muscle that crosses the blood–brain barrier and mediates certain effects of exercise. Here, we show irisin prevents pathologic α-synuclein (α-syn)-induced neurodegeneration α-syn preformed fibril (PFF) mouse model sporadic PD. Intravenous delivery via viral vectors following stereotaxic intrastriatal injection PFF cause a reduction formation prevented loss...
Post-COVID condition (PCC) is common and often involves neuropsychiatric symptoms. This study aimed to use blood oxygenation level-dependent fMRI (BOLD-fMRI) assess whether participants with PCC had abnormal brain activation during working memory (WM) the could predict cognitive performance, motor function, or psychiatric
Flexible and stretchable electronics are poised to enable many applications that cannot be realized with traditional, rigid devices. One of the most promising options for low-cost transistors printed carbon nanotubes (CNTs). However, a major limiting factor in CNT devices is lack stable versatile contact material forms both interconnects electrodes. In this work, we introduce use eutectic gallium-indium (EGaIn) liquid metal electrical contacts channels. We analyze thin-film (TFTs) fabricated...
In many places all over the world rural and remote areas lack proper connectivity that has led to increasing digital divide. These might have low population density, incomes, etc., making them less attractive invest operate networks. 6G could be first mobile radio generation truly aiming close However, in order do so, special requirements challenges considered since beginning of design process. The aim this white paper is discuss point out related, identified research topics solved 6G. This...
Background: This study assessed the efficacy and safety of ultrarapid insulin Fiasp® in hybrid closed-loop MiniMed™ 670G system. Methods: was a pilot randomized double-blinded crossover among established users comparing percentage time range (TIR) hypoglycemia for Novolog® Fiasp. After 2 weeks optimization with their home insulin, participants were to receive Novolog or Fiasp weeks, followed by other next weeks. Data from second week blinded use analyzed allow 1 adaptation. During week,...
Database management systems (DBMSs) have a plethora of tunable knobs that control almost everything in the system. The performance DBMS is highly dependent on these configuration knobs, however, getting this tuning right hard. Many organizations resort to hiring experts configure but prohibitively expensive. As databases grow both size and complexity, optimizing has surpassed abilities even best human experts. We recently introduced OtterTune, service able automatically find good settings...
Existing LMs struggle with proof-oriented programming due to data scarcity, which manifest in two key ways: (1) a lack of sufficient corpora for languages such as F*, and (2) the absence large-scale, project-level implementations that can teach model intricate reasoning process when performing programming. We present first on synthetic augmentation project level proof oriented both generation repair. Our method addresses scarcity by synthesizing basic problems proficiency language;...
Intracranial Hemorrhage (ICH) has high rates of mortality, and risk factors associated with it are sometimes nearly impossible to avoid. Previous techniques detect ICH using machine learning have shown some promise. However, due a limited number labeled medical images available, which often causes poor model accuracy in terms the Dice coefficient, there is much be improved. In this paper, we propose modified u-net curriculum strategy multi-task semi-supervised attention-based model,...
The traditional process of the complete blood count test has long provided hematologists with information to diagnose blood-based disorders. However, this tedious and manual can be subject bias inaccurate classifications. As a result, automated methods white-blood cell detection counting have been sought out as means facilitate improve classification accuracy. In paper, we present new method, PatternNet-fused Ensemble Convolutional Neural Networks (PECNN) for classifying white cells....
Abstract The Loop Current (LC) is the dominant circulation system in Gulf of Mexico. A long‐term prediction LC (LCS) behavior critical for understanding Mexico oceanography and ecosystem, mitigating outcomes anthropogenic natural disasters. In early 2018, National Academies Science, Engineering, Medicine posed a challenge to research community develop systems that can forecast movement LCS over longer periods time than current state art. this paper, Recurrent Neural Network, Long Short‐Term...
It is quickly becoming apparent that situating human variation in a pathway context crucial to understanding its phenotypic significance. Toward this end, we have developed general method for finding pathways associated with traits control size. We applied new whole genome survey of coding SNP 187 patients afflicted Parkinson disease (PD) and controls. show our dataset provides an independent replication the axon guidance association recently reported by Lesnick et al. [PLoS Genet...
Despite abnormal clotting, circuits clot during continuous renal replacement therapy (CRRT) in children with acute liver failure (ALF). We report our experience. All ALF needing CRRT were studied over 2 years. Patient and circuit factors associated use evaluated. Thirty-one (median age 7.4 years) underwent CRRT, of which 17 (54.8%) died. A total 98 filtration episodes used. The smallest access catheter was 6.5 Fr, while the largest 13.5 Fr. most common filter used HFO7 (63%). Mean duration...
Poor mechanical properties hinder the application of hydrogels in cartilage tissue engineering. In this study, macroporous interpenetrating network (IPN) gelatin and polyethylene glycol (PEG) were fabricated for use as a functional biomaterial to support chondrocyte culture. The IPN structure enhanced properties, while facilitated cell–cell interactions. had pore sizes around 80 μm with favorable interconnectivity, reduced volume swelling ratios, nearly unchanged weight ratios increasing...
Recently, we demonstrated that cancer dormancy is initiated within the lymphovascular tumor embolus and consists of decreased proliferation lower mammalian target rapamycin (mTOR) activity. In present study, investigated other intersecting metabolism-signaling pathways may ultimately determine whether remains dormant or undergoes cell death.
Developing effective methods for the automated detection of IDC remains a challenging problem breast cancer diagnosis. Recently, Cruz and his coworkers proposed machine learning approach invasive ductal carcinoma (IDC) from whole image slides containing cells. Their method, based on Convolutional Neural Network (CNN), does not need to handcraft features images. work has potential revolutionizing detection, promoting further research development in this exciting direction. Inspired by Cruz's...
While the severe underrepresentation of women and non-binary people in open source is widely recognized, there little empirical data on how situation has changed over time which subcommunities have been more effectively reducing gender imbalance. To obtain a clearer image representation source, we compiled synthesized existing from literature, computed historical trends across 20 ecosystems. inherently limited by ability automatic name-based inference to capture true identities at an...
Integration of solid-liquid phase change materials (PCMs) into electronics packaging has demonstrated the potential to reduce transient temperature rise components that experience pulsed thermal loads. However, impact on local histories resulting from incorporating PCMs in different locations and configurations within an package is not easy analytically determine, due large part non-linear response a heat load. ParaPower new parametric design tool facilitate packages. The capability easily...