A5012490183- Water Quality Monitoring and Analysis
- Advanced Chemical Sensor Technologies
- Water Quality Monitoring Technologies
- Analytical Chemistry and Sensors
- Energy and Environment Impacts
- Climate Change and Health Impacts
- Solar Thermal and Photovoltaic Systems
- Air Quality Monitoring and Forecasting
- Smart Grid Energy Management
- Marine and coastal ecosystems
- Immune Cell Function and Interaction
- Hybrid Renewable Energy Systems
- Thermodynamic and Exergetic Analyses of Power and Cooling Systems
- COVID-19 and healthcare impacts
- Marine Biology and Ecology Research
- Building Energy and Comfort Optimization
- Environmental remediation with nanomaterials
- Anomaly Detection Techniques and Applications
- Cancer Immunotherapy and Biomarkers
- Advanced Thermodynamic Systems and Engines
- Smart Cities and Technologies
- Photovoltaic System Optimization Techniques
- CAR-T cell therapy research
- Refrigeration and Air Conditioning Technologies
- Wastewater Treatment and Nitrogen Removal
Northeastern University
2018-2025
Universidad del Noreste
2017-2024
NextFlex
2021
Massachusetts General Hospital
2021
Cancer Genetics (United States)
2021
Purdue University West Lafayette
2020
Massachusetts Institute of Technology
2008-2016
Parsons (United States)
2009-2016
Novartis (United States)
2016
Vassar College
2011-2013
PurposeBy incorporating major developments in genetics, ophthalmology, dermatology, and neuroimaging, to revise the diagnostic criteria for neurofibromatosis type 1 (NF1) establish Legius syndrome (LGSS).MethodsWe used a multistep process, beginning with Delphi method involving global experts subsequently non-NF experts, patients, foundations/patient advocacy groups.ResultsWe reached consensus on minimal clinical genetic diagnosing differentiating NF1 LGSS, which have phenotypic overlap...
Neurofibromatosis type 2 (NF2) and schwannomatosis (SWN) are genetically distinct tumor predisposition syndromes with overlapping phenotypes. We sought to update the diagnostic criteria for NF2 SWN by incorporating recent advances in genetics, ophthalmology, neuropathology, neuroimaging.We used a multistep process, beginning Delphi method involving global disease experts subsequently non-neurofibromatosis clinical experts, patients, foundations/patient advocacy groups.We reached consensus on...
Advancing our understanding of ocean biogeochemistry, biology, and ecosystems relies on the ability to make observations both in at critical boundaries between other earth systems relevant spatial temporal scales. After decades advancement observing technologies, one key remaining challenges is how cost-effectively measurements increased resolution necessary for illuminating complex system processes rapidly evolving changes. In recent years, biogeochemical biological situ sensors have been...
The primary mandate of wastewater treatment facilities is the limitation pollutant discharges, however both tightening permit limits and unique challenges associated with improving sustainability (<italic>i.e.</italic>, resource recovery) demand innovation.
The presence of T regulatory (Treg) cells in the tumor microenvironment is associated with poor prognosis and resistance to therapies aimed at reactivating anti-tumor immune responses. Therefore, depletion tumor-infiltrating Tregs a potential approach overcome immunotherapy. However, identifying Treg-specific targets drive such selective challenging. CCR8 has recently emerged as one these targets. Here, we describe GS-1811, novel therapeutic monoclonal antibody that specifically binds human...
Recent research, professional, and funding agendas have re-surfaced the importance of knowledge co-production ethical participation to address urban tensions worldwide: urbanization rapid climate change, disproportionately impacting socially vulnerable populations. Despite rise Digital Twins (DT), buoyed by growth computational data technologies in past 10 15 years, DT fallen short their promise these tensions. We present a participatory modeling (PM) platform, Fora.ai, build on existing...
Summary In response to the COVID-19 pandemic, cloth masks are being used control spread of virus, but efficacy these loose-fitting is not well known. Here, tools and methods typically assess tight-fitting respirators were modified quantify community- commercially-produced fabric as PPE. Two particle counters concurrently sample ambient air inside masks; mask performance evaluated by mean removal efficiency statistical variability when worn designed with a nylon overlayer, independently fit...
Environmental hazards vary locally and even street to resulting in microspatial inequities, necessitating climate resilience solutions that respond specific hyperlocal conditions. This study uses remote sensing data estimate two environmental are particularly relevant community health: land surface temperature (LST; from LandSat) air pollution (AP; motor vehicle volume via cell phone records). These analyzed conjunction with use records Boston, MA test (1) the extent which each hazard...
The application of organic Rankine cycles (ORCs) for small scale power generation is inhibited by a lack suitable expansion devices. Thermodynamic and mechanistic considerations suggest that scroll machines are advantageous in kilowatt-scale ORC equipment, however, method independently selecting geometric design optimized high-volume-ratio expanders needed. generalized 8-dimensional planar curve framework (Gravesen Henriksen, 2001, “The Geometry the Scroll Compressor,” Soc. Ind. Appl. Math.,...
Two mass spectrometers (MS) are tested for the measurement of volatile substances, such as hydrocarbons and metabolic gases, in natural waters. KOALA is a backpackable MS operated from above water surface, which samples pumped through flow cell using syringe. NEREUS an underwater instrument hosted by autonomous vehicle (AUV) that linked to communications network provide chemical data real time. The analyzers two nearly identical cycloids, both use flat-plate membrane inlets. Testing took...
Abstract Effective solutions require integration of improved data, technology innovations, community engagement, and environmental justice.
Energy infrastructure in rural areas of developing countries is currently deployed on an ad-hoc basis via grid extension, public and private sector solar home system (SHS) service using photovoltaic (PV) panels, community distributed generation systems, also called mini or micro grids. Universal access to energy increasingly pursued as a policy objective e.g. the U.N. Millennium Develop Goals (MDG), Sustainable for All (SE4All), U.S. Power Africa initiatives. Rational allocation 1.6b people...
Abstract Dissolved organic carbon (DOC) is a master variable in aquatic systems. Resolving DOC dynamics requires high‐temporal resolution data. However, concentration cannot be directly measured situ, and discrete sample collection analysis becomes expensive as temporal increases. To surmount this problem, an option to predict site‐specific with linear modeling optical data predictors collected from high‐cost, high‐maintenance situ spectrophotometers. This study sought improve upon the...
We describe a system for the semi‐autonomous in situ measurement of lake chemical properties, with high temporal resolution and potential to map properties 3 dimensions. The comprises both fixed sensor locations on moored buoys one (or potentially more) autonomous underwater vehicles (AUVs) serving as mobile platforms. Sensors include conventional water quality multiprobes thermistor strings NEREUS mass spectrometer dissolved metabolic gases such methane well permanent gases. Data are...
Knowledge of the statistics environmental systems combined with novel signal processing can significantly improve utility existing sensors for<italic>in situ</italic>measurements key nutrients.
Wastewater treatment demands management of influent conditions to stabilize biological processes. Generally wastewater collection systems lack advance warning approaching water parcels with anomalous characteristics, which could then be diverted for testing or pre-treatment. A major challenge in achieving this goal is identifying anomalies against the complex chemical background wastewaters. This work evaluates unsupervised clustering methods characterize “normal” using &gt;17 months...