Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=5&sort=program_officials
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=program_officials", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1442&sort=program_officials", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=6&sort=program_officials", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=4&sort=program_officials" }, "data": [ { "type": "Grant", "id": "12475", "attributes": { "award_id": "2241853", "title": "Predicting fate and transport of antibiotic resistance genes in streams", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "EnvE-Environmental Engineering" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28413, "first_name": "Kaoru", "last_name": "Ikuma", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 192, "ror": "https://ror.org/04rswrd78", "name": "Iowa State University", "address": "", "city": "", "state": "IA", "zip": "", "country": "United States", "approved": true }, "abstract": "Antimicrobial resistance has become a global public health threat. In the United States, the Centers for Disease Control and Prevention (CDC) estimates that more than 2.8 million antimicrobial-resistant infections occur each year. Antimicrobial resistance (AMR) occurs when pathogenic microorganisms no longer respond to drugs such as antibiotics making it very difficult to treat infections and control contagion and disease spread. AMR occurs naturally and develops over time as microorganisms exchange genetic materials (e.g., antibiotic resistance genes) in environmental media including air, water, soils, and sediments. There is growing concern about the roles of surface water systems and wastewater treatment plants as reservoirs and sources for antibiotic resistance genes (ARGs). However, the availability of validated models that can accurately predict the fate and transport of ARGs in surface water systems has remained elusive. The overarching goal of this project is to develop and experimentally validate a computational model to predict the fate and transport of ARGs in surface water systems using a river in Central Iowa as a model system. To advance this goal, the Principal Investigators (PIs) propose to combine and integrate laboratory experiments, field measurements, and physics-based computational modeling to accurately predict the fate and transport of ARGs in surface water systems including streams and rivers. The successful completion of this project will benefit society through the development of a new and validated model to improve the ability to predict and assess the risk of ARG spread and transmission in surface water systems. Additional benefits to society will be achieved through student education and training including the mentoring of two graduate students and one undergraduate student at Iowa State University.Predicting the fate and transport of antibiotic resistance genes (ARGs) in rivers is complicated by the large number of processes involved. As with all models of water quality in rivers, a model for ARG transport must account for advection and dispersion by the river’s flow, as well as lateral inflows into the river including stormwater/agricultural runoffs and the discharges of wastewater treatment plant effluents. In addition, ARGs can exhibit different form factors in surface water systems including intracellular DNA (iDNA), free extracellular DNA (eDNA), and particle-associated DNA. Potentially important processes that control the fate and transport of ARGs in rivers include sorption to particles, gene transfer to live cells, gene replication, and mobilization. Because replication, horizontal gene transfer, and decay can occur in river sediments, an accurate model of ARG fate in rivers needs to account for the transport between the water column and the sediment bed of a river. Building the results of preliminary modeling investigations of the fate and transport of ARGs in a model river system, the Principal Investigators (PIs) of this project propose to test the hypothesis that the inclusion of processes that account for sediment bed and eDNA exchanges will improve the predictive capability of their model. The specific objectives of the research are to (1) evaluate the predictive capability of the PIs’ revised ARG transport model using field measurements in a river and identify parameters requiring further study; (2) measure these parameters in batch and mesocosm experiments; and (3) test the robustness of the model with additional field measurements and analyses. Objective 1 will focus on field measurements downstream of a wastewater treatment plant (WWTP) in Ames (Iowa) that are designed to evaluate the sediment and eDNA contributions to the model predictive capability. Objective 2 will consist of laboratory experiments targeting the parameters identified in Objective 1 with the goal of determining realistic ranges of values for the model parameters. In Objective 3, the estimated parameters from Objective 2 will be used as inputs to the model to predict concentrations of ARGs downstream of the WWTP in Objective 1 followed by field measurements designed to evaluate the model predictive capability and the robustness of its parametrization. To implement the education and training goals of this project, the PIs plan to integrate the research findings into a project-based course entitled “Introduction to Research” which is a required course for the newly launched B.S. degree program in environmental engineering at Iowa State University.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10725", "attributes": { "award_id": "1IK2RX003790-01A2", "title": "Neuromodulation for Rehabilitation of Post-Stroke Fatigue: An rTMS Pilot Study", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-11-01", "end_date": "2027-10-31", "award_amount": null, "principal_investigator": { "id": 26774, "first_name": "John Harvey", "last_name": "Kindred", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1782, "ror": "", "name": "RALPH H JOHNSON VA MEDICAL CENTER", "address": "", "city": "", "state": "SC", "zip": "", "country": "United States", "approved": true }, "abstract": "The long-term goal of this proposed career development award (CDA-2) is to accelerate my training and development so that I can establish an independent line of research unraveling the causes and consequences of fatigue and to develop effective evidence-based therapies for fatigue in Veterans with neurological conditions. Before my collegiate studies, I served nine years on active duty in the United States Marine Corps and received an Honorable Discharge upon the expiration of my service contract. I completed my Ph.D. in Human Bioenergetics at Colorado State University in 2017. Upon graduation, I began a post-doctoral position at the Medical University of South Carolina working with Dr. Mark G. Bowden, PT, Ph.D. Shortly after starting my post- doc position, I acquired a WOC appointment at the Ralph H. Johnson VA Medical Center and was awarded a VA Rehabilitation Research and Development Career Development Award – 1 that began in Oct 2019. Since the beginning of my research journey, I have published 22 peer-reviewed manuscripts, 12 as the first author. My most recent publications have centered on measuring the neurophysiological state of the nervous system and relating that state to post-stroke disability. These most recent manuscripts are based on data collected at the laboratories at Ralph H. Johnson before my arrival and the co-authors include several of the members of this proposal’s mentorship team. Upon completing my CDA-1 (end date Sep 30, 2021), I have focused my attention on the neurophysiological biomarkers of post-stroke fatigue. This CDA-2 proposal will provide me with the opportunity to learn new neurophysiological assessment methods and advance my knowledge and ability to apply neuromodulatory treatments. These skills will provide me the foundation to build an independent VA- backed research program focusing on reducing the impact of fatigue in Veterans with an array of neurological conditions. The assembled mentorship team is composed of experts in post-stroke rehabilitation, neuromodulation, neuroimaging, and clinical assessment. Up to 92% of people post-stroke experience fatigue. Fatigue negatively affects physical and mental performance leading to a lower quality of life. Fatigue is also present in many other neurological populations within the Veteran community, such as traumatic brain injury, multiple sclerosis, and the newly coined phenomenon of Long-COVID. Advances in the knowledge and understanding of post-stroke fatigue are likely to lead to advances in other clinical populations within the Veteran community. The first aim is to test the effects of a well-established neuromodulatory therapy, repetitive transcranial magnetic stimulation (rTMS), on reducing the severity of post-stroke fatigue. This aim is predicated on theoretical principles obtained from the study of other neuro-psychiatric/-cognitive disorders and therapeutic attempts to reduce fatigue in other neurological illnesses. Participating Veterans will receive high-frequency rTMS to the frontal lobe, either the left prefrontal dorsolateral cortex or bilaterally to the motor cortices. These locations have been implicated in fatigue in other neurological conditions. I expect to show rTMS can be used to reduce post-stroke fatigue severity. However, the effectiveness and location of treatment may partially be dependent on individual characteristics. The second aim of the study is based on the skills and knowledge developed in the CDA-1, I plan on identifying additional neurophysiological biomarkers of fatigue. In this project, I will assess glutamatergic activity/signaling of the upper and lower extremity sensorimotor network of Veterans with and without post-stroke fatigue. I expect to show that the fatigued group will show glutamatergic dysfunction, measured by greater asymmetries in intracortical facilitation and the facilitatory response to paired associative stimulation, compared to the non-fatigued group. Identification of glutamate and related metabolites as a pathophysiological contributor to post-stroke fatigue may help in the development of new therapeutic approaches for post-stroke fatigue and fatigue in other neurological conditions.", "keywords": [ "Affect", "American Heart Association", "Anxiety", "Appointment", "Attention", "Award", "Back", "Behavior", "Bilateral", "Bioenergetics", "Biological Markers", "Caregivers", "Characteristics", "Chronic Fatigue Syndrome", "Clinical", "Clinical assessments", "Cognition Disorders", "Coin", "Colorado", "Communities", "Contract Services", "Data", "Development", "Doctor of Philosophy", "Effectiveness", "Environment", "Evidence based treatment", "FDA approved", "Fatigue", "Foundations", "Frequencies", "Functional disorder", "Glutamates", "Goals", "Human", "Individual", "Intervention", "K-Series Research Career Programs", "Knowledge", "Laboratories", "Lead", "Learning", "Left", "Lesion", "Location", "Long COVID", "Lower Extremity", "Magnetic Resonance Spectroscopy", "Manuscripts", "Measures", "Medical", "Medical center", "Mental Depression", "Mental disorders", "Mentorship", "Methods", "Motor", "Motor Cortex", "Multiple Sclerosis", "Nature", "Nervous System Physiology", "Nervous system structure", "Neuraxis", "Neurocognitive", "Neurologic", "Peer Review", "Performance", "Persons", "Pharmacology", "Physical Function", "Physical activity", "Physiologic pulse", "Pilot Projects", "Play", "Population", "Positioning Attribute", "Post-Traumatic Stress Disorders", "Postdoctoral Fellow", "Prefrontal Cortex", "Prevalence", "Psyche structure", "Publications", "Publishing", "Quality of life", "Recording of previous events", "Rehabilitation therapy", "Research", "Research Personnel", "Role", "Scientist", "Services", "Severities", "Signal Transduction", "South Carolina", "Stroke", "Structure", "System", "Testing", "Therapeutic", "Training", "Transcranial magnetic stimulation", "Traumatic Brain Injury", "United States", "Universities", "Update", "Upper Extremity", "Veterans", "Veterans Health Administration", "Work", "active duty", "base", "career", "career development", "chronic stroke", "cognitive function", "college", "cost", "disability", "effective intervention", "effective therapy", "efficacy testing", "evidence base", "experience", "expiration", "frontal lobe", "improved", "insight", "member", "military veteran", "multidisciplinary", "negative affect", "nervous system disorder", "neural circuit", "neuroimaging", "neurophysiology", "neuropsychiatry", "neuroregulation", "noninvasive brain stimulation", "novel", "novel therapeutic intervention", "post stroke", "programs", "psychologic", "rehabilitation re" ], "approved": true } }, { "type": "Grant", "id": "10651", "attributes": { "award_id": "75N95022P00438-0-0-1", "title": "N3C OPEN DATA PORTAL AND COMMUNITY ENGAGEMENT SUPPORT SERVICES FOR NCATS (COVID-19 ACTION)", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [ "National Institute of General Medical Sciences (NIGMS)", "National Center for Advancing Translational Sciences (NCATS)" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-02", "end_date": "2023-09-01", "award_amount": 3295541, "principal_investigator": { "id": 24128, "first_name": "SUHAS", "last_name": "SHARMA", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1701, "ror": "", "name": "AXLE INFORMATICS, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1701, "ror": "", "name": "AXLE INFORMATICS, LLC", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "National COVID-19 Cohort Collaborative (N3C): The National COVID-19 Cohort Collaborative (N3C) sponsors the NIH COVID-19 Data Enclave, https://covid.cd2h.org/, one of the largest data enclaves in the world supporting COVID-19 research. N3C is a partnership among the NCATS-supported Clinical and Translational Science Awards (CTSA) Program hubs, the National Center for Data to Health (CD2H), and the NIGMS-supported Institutional Development Award Networks for Clinical and Translational Research (IDeA-CTR), with overall stewardship by NCATS. The N3C program is essentially a medium sized business, consisting of thousands of researchers, requiring enterprise level information technology (IT) support as part of a virtual research organization (VRO). This contract is necessary to ensure that NCATS and N3C can continue to provide adequate support for a secure, collaborative, VRO. This contract allows for continued support of the VRO which supports all of the required information technology functions to support an environment of over 4,000 users, including cloud-based productivity tools, a service desk, commercial and open-source deployments of analytical tools for the community to use, and expansion of the data types available for analysis, such as imaging, viral variant genomic sequences, etc. The common need is to share a collaborative cloud environment capable of ingesting billions of data points and performing a variety of complex analyses against multimodal data types, ranging from pathology and radiology data, synthetic data, genomic information, electronic health records (EHRs) and a wide variety of others. All of this must be done while meeting the highest levels of security and privacy, given the sensitivity of some of the data types being collected and the importance of the work being done in the environment. This contract provides support for all of these enterprise IT efforts.", "keywords": [ "Area", "Award", "Businesses", "COVID-19", "COVID-19 patient", "Clinical Research", "Clinical and Translational Science Awards", "Collaborations", "Communities", "Complex Analysis", "Contracts", "Data", "Data Analyses", "Data Collection", "Data Science", "Data Set", "Development", "Electronic Health Record", "Ensure", "Environment", "Genomics", "Health", "Image", "Informatics", "Information Technology", "Ingestion", "National Center for Advancing Translational Sciences", "National Institute of General Medical Sciences", "Pathology", "Privacy", "Productivity", "Pythons", "Radiology Specialty", "Research", "Research Personnel", "Risk Factors", "Scientist", "Secure", "Security", "Services", "Statistical Data Interpretation", "Translational Research", "United States", "United States National Institutes of Health", "Viral", "Visualization", "Work", "analytical tool", "cloud based", "cohort", "community engagement", "coronavirus disease", "data enclave", "data harmonization", "data portal", "genetic variant", "meetings", "multimodal data", "open data", "open source", "open source tool", "programs", "protective factors", "tool", "virtual" ], "approved": true } }, { "type": "Grant", "id": "12467", "attributes": { "award_id": "2318204", "title": "Collaborative Research: HNDS-I: Cyberinfrastructure for Human Dynamics and Resilience Research", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Social, Behavioral, and Economic Sciences (SBE)", "Human Networks & Data Sci Infr" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-09-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 28406, "first_name": "Yi", "last_name": "Qiang", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 235, "ror": "https://ror.org/032db5x82", "name": "University of South Florida", "address": "", "city": "", "state": "FL", "zip": "", "country": "United States", "approved": true }, "abstract": "Disaster resilience research is concerned with learning how people prepare for and deal with damage to their communities because of events such as floods, fires, pandemics, and other existential threats. The concepts of risk, vulnerability and sustainability are very important because of the impact they have on individuals’ lives and well-being. However, advancing science-based resilience research is hard because the data that are used to measure disaster resilience come from many different sources and are difficult to merge. Even for available data there are few tools available to analyze them, especially for researchers who do not have extensive quantitative training. This project overcomes these difficulties by developing a national cyberinfrastructure called the Human Dynamics and Resilience infrastructure that contains large-scale data and analytic tools to support and advance human dynamics and resilience research. Knowledge gained from visualizing and analyzing the data using the infrastructure can better inform policies to increase community resilience. The project accomplishes four objectives. First, it develops four new databases containing integrated data from around the nation, including social media and cell-phone mobility data. Second, it constructs visualization and analytical tools, such as maps, statistics, and dynamic modeling and simulations to facilitate both exploratory and in-depth research. Third, it implements a training and feedback module to help engage researchers, practitioners, and the public to explore and conduct analyses that should lead to a better understanding of resilience. Finally, it includes three case studies that demonstrate how the infrastructure can lead to new knowledge about the relationship between human mobility and resilience. The project is a collaboration of multidisciplinary investigators from four universities, including Louisiana State University, University of South Florida, Texas A&M University, and Saint Louis University.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4837", "attributes": { "award_id": "1204085", "title": "Doctoral Dissertation Improvement Grant: Paleoindian Technology in Beringia--A Technological and Morphological Analysis of the Northern Fluted-Point Complex", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "ASSP-Arctic Social Science" ], "program_reference_codes": [], "program_officials": [], "start_date": "2012-09-15", "end_date": "2015-08-31", "award_amount": 19644, "principal_investigator": { "id": 16803, "first_name": "Frank", "last_name": "Goebel", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [ { "id": 16802, "first_name": "Heather L", "last_name": "Smith", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 342, "ror": "https://ror.org/01f5ytq51", "name": "Texas A&M University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "Under the supervision of Dr. Ted Goebel, Heather Smith?s doctoral dissertation research will investigate the technology, morphology, and context of Alaskan fluted projectile points, focusing on the new assemblage from Serpentine Hot Springs (BEN-192), a unique site in Beringia found to contain a fluted-point assemblage in a buried and clearly datable context. Fluted points are widespread in the Americas, but in the Beringian area of north and northwest Alaska problematic and un-datable contexts have prevented interpretations of their meaning, especially in the context of human dispersal across the Americas, and we still know virtually nothing about their adaptive context in late-glacial Arctic and Subarctic ecosystems. Thus far, their attribution to the early period of Alaskan prehistory has been based predominantly on typology alone. The proposed research attempts to resolve this problem by addressing the question: What are the culture-historical and adaptive contexts of Alaskan fluted points? Excavations at Serpentine Hot Springs in 2005 and 2009-2011 have recovered fluted points from a stratigraphically sealed context in association with features interpreted as fire-hearths and charcoal from these features consistently produced dates averaging 10,200-10,000 radiocarbon years before present (14C BP). Prior to this discovery, a clear understanding of the context and significance of fluted points in Beringian archaeology and first Americans research has been impossible. \n\nThe primary research goals of this project are to 1) characterize the technology and morphology of fluted projectile points recovered from Serpentine Hot Springs and other Alaskan sites, 2) characterize technological activities carried out at Serpentine Hot Springs and other fluted point sites in Alaska, 3) interpret the technological organization of the ?northern fluted-point complex?, especially in regards to settlement and mobility, and 4) investigate the origins of Alaskan fluted points. The proposed research will combine standard lithic analyses of non-metric and metric variables with geometric morphometric analyses to obtain a meaningful statistical expression of fluted-point technology and shape. In this part of the analysis, Smith will draw on materials from 19 archaeological sites in Alaska to establish technological and morphological relationships between the fluted points. In the next component of the analysis, Smith will address the technological organization implemented by Alaskan fluted-point makers, thereby facilitating evaluation of northern Paleoindian behavior in terms of tool-stone acquisition, transport, and mobility. Investigation of technological organization will be based on analyses of complete lithic assemblages (including debitage) obtained from Serpentine Hot Springs, Putu, and eight Batza Téna localities where potentially ?typologically clean? assemblages have been found. To investigate the origins of fluted-point technology in Alaska and place Alaskan fluted points in the context of the Paleoindian occupation of the American continents, fluted-point collections from localities in Canada and the continental United States will be comparatively analyzed in regards to technology and morphology. Fluted-point variability and correlations in morphology will be analyzed by a new form of shape-analysis which utilizes geometric morphometrics and allows the entire geometry of the artifacts to be preserved throughout analysis, serving to increase the power of statistical expression. The proposed analyses will require travel to museums in Fairbanks and Anchorage, Alaska; Washington DC; Laramie, WY; Edmonton and Calgary, Alberta; Victoria, British Columbia; and Ottawa, Toronto, and London, Ontario to study artifact collections curated at these institutions.\n\nFunding of the proposed research will enable Ph.D. candidate H. Smith to conduct analyses necessary to place the Serpentine Hot Springs assemblage and the Alaskan fluted-point complex into the greater context of human adaptation during the Pleistocene-Holocene transition. Proposed research objectives will result in generalizations that will advance our understanding of prehistoric hunter-gatherer risk management in the Arctic, and how Northern Paleoindians met the adaptive challenges imposed by an ecosystem experiencing dramatic climate change at the end of the Pleistocene.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "5444", "attributes": { "award_id": "0554749", "title": "U.S. Japan Workshop on Symbiotic Nitrogen Fixation", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Catalyzing New Intl Collab" ], "program_reference_codes": [], "program_officials": [], "start_date": "2006-03-15", "end_date": "2009-02-28", "award_amount": 52800, "principal_investigator": { "id": 18997, "first_name": "K. Dale", "last_name": "Noel", "orcid": null, "emails": "[email protected]", "private_emails": null, "keywords": "[]", "approved": true, "websites": "[]", "desired_collaboration": "", "comments": "", "affiliations": [ { "id": 439, "ror": "https://ror.org/04gr4te78", "name": "Marquette University", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 439, "ror": "https://ror.org/04gr4te78", "name": "Marquette University", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true }, "abstract": "OISE-0554749 \n(K. Dale Noel, Marquette University)\nU.S.-Japan Workshop on Symbiotic Nitrogen Fixation\n\n\nThis proposal, from Dale Noel of Marquette University, will organize a U.S.-Japan workshop titled Genomics, Molecular Mechanisms and Evolution of Symbiotic Nitrogen Fixation. The workshop, jointly organized with Professor Shigeyuki Tajima of Kagawa University, will take place outside Tokyo, Japan on August 15-19, 2006. Sixteen U.S. participants, including at least five graduate students and postdoctoral researchers, will join 11 Japanese researchers and their students for the meeting. Meeting sessions will explore the following topics: 1) bacterial genetic and genomic-proteomic approaches to understanding symbiosis; 2) evolution and horizontal phylogenetic distribution of plant-microbe associations; 3) biochemistry and molecular interactions during symbiotic development; 4) molecular genetics and genomics-proteomics of two model legumes; and 5) from model legumes to soybean and other crop legumes.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "3973", "attributes": { "award_id": "1725413", "title": "MRI: Acquisition of a Multipoint Laser Vibrometer for Studying Multiscale and Nonstationary Dynamics of Materials and Complex Structures", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Unknown", "Major Research Instrumentation" ], "program_reference_codes": [], "program_officials": [], "start_date": "2017-10-01", "end_date": "2020-09-30", "award_amount": 470250, "principal_investigator": { "id": 13200, "first_name": "Melih", "last_name": "Eriten", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 263, "ror": "", "name": "University of Wisconsin-Madison", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [ { "id": 13199, "first_name": "Matthew S", "last_name": "Allen", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "awardee_organization": { "id": 263, "ror": "", "name": "University of Wisconsin-Madison", "address": "", "city": "", "state": "WI", "zip": "", "country": "United States", "approved": true }, "abstract": "This Major Research Instrumentation award supports the acquisition of a Multipoint Laser Vibrometer (MPV800) system to enable potentially transformative research in civil and mechanical engineering, materials, and biomedical engineering. The MPV800 system tracks transient and random vibrations and structural deformations, allowing researchers to monitor the dynamic response of materials, components and systems with challenging geometries and soft materials, such as biological tissues. The MPV 800 also monitors nonlinear vibration and wave propagation. Researchers will gain an enhanced understanding of the dynamic behavior of complex systems that can lead to advances in early-diagnosis of disease, more reliable 3D printing processes and the development of novel materials and structures with enhanced resilience. The MPV800 system will also be used in laboratory projects to educate the next generation of vibration engineers and outreach events for industry and the public.\n\nThe MPV800 laser vibrometer with 5-optical units and 40 fiber heads enables noncontact and full-field vibration measurements up to 0.5 mm spatial resolution, and bandwidth ranging from several Hz to 100 kHz. This new system also uses a wavelength of 1550 nm for higher reflectance and lower noise in testing soft and hard materials, even materials with high water content such as biological tissues, swollen polymers and hydrogels. A total of 10 major users will use the system to measure the dynamic response of soft, porous, multiphasic, and hard materials with an unprecedented range and resolution in time and space. The MPV800 system will provide essential measurements to update models of sophisticated assemblies in civil and aerospace applications. It will also be used for noncontact characterization and structural health monitoring of 3D printed parts and tissue scaffolds. Analysis of wave propagation in cartilage and tendons will reveal new insights on the high loading-rate response of those tissues and the tissue behavior that leads to osteoarthritis.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10791", "attributes": { "award_id": "1I01HX002941-01A2", "title": "A web-based program to improve chronic illness self-management by engaging patients and informal caregivers", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2022-10-01", "end_date": "2026-09-30", "award_amount": null, "principal_investigator": { "id": 26867, "first_name": "Ranak", "last_name": "Trivedi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 1497, "ror": "", "name": "VETERANS ADMIN PALO ALTO HEALTH CARE SYS", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Background: For the 80% of older Americans who have at least one chronic condition, sharing self- management responsibilities with caregivers (relatives or friends) predicts longevity, better health, better quality of life, and fewer hospitalizations. Caregivers often support patients in their self-management efforts. This can bring patients and caregivers closer but can also generate stress for both that can interfere with self- management. Yet, self-management programs rarely support the coping needs of patient-caregiver dyads. Significance: There are more than 5 million caregivers of Veterans; 75% of older Veterans receive some caregiver support. Caregivers incur individual financial and emotional costs even as they provide unpaid care. Having an effective self-management strategy that addresses the needs of both can improve outcomes and quality of life for millions of Veterans who suffer from chronic illnesses and their caregivers. This project addresses the priorities “Long-term care and Caregiving,” “Virtual Care/Telehealth,” and “Access to Care” and is consistent with the legislative goals of the MISSION Act. Innovation and Impact: This highly innovative proposal uses the novel concept that strengthening the interpersonal relationships between Veterans and caregivers can improve the self-management of chronic conditions. It challenges current clinical paradigms by addressing the collective stress coping needs of dyads. It is methodologically innovative because unlike many behavioral intervention trials, it assesses barriers and facilitators to plan for future implementation. Our focus on technology-enabled tools is timely given how COVID19 has transformed care delivery. This project takes advantage of the unique capabilities of the VA health system to explore questions including robust caregiver support and virtual care programs. Specific Aims: With investments from VA HSR&D, we have developed and successfully pilot tested a new theoretically-derived technology called Web-based Self-care Using Collaborative Coping EnhancEment in Diseases (web-SUCCEED). We propose to conduct a randomized clinical trial comparing web-SUCCEED to an enhanced usual care (EUC) control. We will conduct a formative evaluation guided by the Consolidated Framework of Implementation Research (CFIR) to accelerate future implementation. 1. Assess whether web-SUCCEED improves Veteran outcomes of self-management compared to EUC, 4 weeks and 6 months following randomization. 2a. Assess whether web-SUCCEED improves patient stress and quality of life. 2b. Assess whether web-SUCCEED improves caregiver stress, quality of life and caregiver burden. 2c. Examine communication, dyadic coping, mutuality, and relationship quality as mediators of primary and secondary outcomes (Aims 1, 2a, 2b). 3. Guided by CFIR, conduct a formative evaluation involving key stakeholder interviews to understand barriers and facilitators of future implementation. Methodology: We will recruit 280 cognitively intact Veterans from VA Palo Alto Health Care System who are managing at least one common chronic condition, and their caregivers. Veteran-caregiver dyads will be randomized 1:1 to web-SUCCEED or EUC. Veteran and caregiver assessments will take place at baseline, then again at 4 weeks and 6 months. The formative evaluation will be guided by CFIR and involve semi- structured interviews with clinical staff, providers, and facility leaders in Year 4. Next Steps: Our formative evaluation will set us up for implementation studies to evaluate web-SUCCEED in a wider array of clinical settings and facilities. Existing operational partnerships will facilitate wider clinical implementation and moving research into practice. Our innovative project, strong investigative team and operational partnerships will ensure a successful study that has the potential to shift clinical paradigms.", "keywords": [ "Address", "Adult", "American", "Award", "Behavior Therapy", "Behavioral", "COVID-19", "Caregiver Burden", "Caregiver support", "Caregivers", "Caring", "Chronic", "Chronic Disease", "Chronically Ill", "Clinical", "Cognitive", "Collaborations", "Communication", "Consolidated Framework for Implementation Research", "Data", "Diabetes Mellitus", "Diagnosis", "Disease", "Distress", "Emotional", "Ensure", "Equipment and supply inventories", "Face", "Family Caregiver", "Family member", "Friends", "Funding", "Gender", "Goals", "Grant", "Health", "Health Services Accessibility", "Health system", "Healthcare Systems", "Hospitalization", "Individual", "Internet", "Interpersonal Relations", "Intervention Trial", "Interview", "Investments", "Learning", "Life Style", "Long-Term Care", "Longevity", "Maintenance", "Measures", "Mediator of activation protein", "Medication Management", "Mental Depression", "Methodology", "Myocardial Ischemia", "Online Systems", "Outcome", "Pain", "Patients", "Persons", "Pilot Projects", "Practice Management", "Primary Care Physician", "Prognosis", "Provider", "Psychologist", "Quality of life", "Randomized", "Randomized Clinical Trials", "Reporting", "Resources", "Scientist", "Self Care", "Self Management", "Services", "Stress", "Stress and Coping", "Structure", "Technology", "Telephone", "Testing", "Time", "Veterans", "Visual", "Work", "acceptability and feasibility", "arm", "behavior change", "care delivery", "caregiver stress", "caregiving", "clinical implementation", "clinical practice", "coping", "cost", "design", "effectiveness evaluation", "experience", "follow-up", "formative assessment", "future implementation", "implementation study", "improved", "improved outcome", "informal caregiver", "innovation", "member", "mobile application", "novel", "peer support", "pilot test", "positive emotional state", "primary outcome", "programs", "recruit", "research to practice", "retention rate", "rural area", "secondary outcome", "self-management program", "skills", "telehealthcare", "telephone-based", "tool", "treatment as usual", "trial comparing", "usability", "user centered design", "virtual healthcare", "web site" ], "approved": true } }, { "type": "Grant", "id": "10403", "attributes": { "award_id": "2149551", "title": "Deep learning-based serological test for point-of-care analysis of COVID-19 immunity with a paper-based multiplexed sensor", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Engineering (ENG)", "CCSS-Comms Circuits & Sens Sys" ], "program_reference_codes": [], "program_officials": [], "start_date": "2022-09-15", "end_date": "2025-08-31", "award_amount": 393222, "principal_investigator": { "id": 4172, "first_name": "Aydogan", "last_name": "Ozcan", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 151, "ror": "", "name": "University of California-Los Angeles", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 151, "ror": "", "name": "University of California-Los Angeles", "address": "", "city": "", "state": "CA", "zip": "", "country": "United States", "approved": true }, "abstract": "Deep learning-based serological test for point-of-care analysis of COVID-19 immunity with a paper-based multiplexed sensor\n\nAbstract: \n\nCOVID-19, caused by the virus SARS-CoV-2, was declared a pandemic by the World Health Organization (WHO) on March 12, 2020. Diagnostic testing has been a critical focus of the response, with an urgent need to rapidly develop, scale, and distribute new tests. Despite all the successful testing methods developed for the direct detection of SARS-CoV-2 genetic material, there is still an urgent need to create new serological assays that can detect virus-specific antibodies as they can ascertain complementary information to direct detection methods by indicating previous exposure and potential immunity, especially important due to various emerging variants. In addition, as vaccines against new variants roll out, these serological tests can be used to evaluate the efficacy of vaccination campaigns, including the ability to elicit SARS-CoV-2 and variant antigen-specific antibodies across vaccinated and unvaccinated populations. In contrast to the current direct detection methods, serology tests that detect antibodies can be low-cost and conducive to a point-of-care (POC) setting, enabling broad screening efforts like widespread immunity testing to indicate individuals in need of vaccine boosters, qualify individuals for travel, return to work, and/or identify convalescent plasma donors. To serve this urgent need, this project will create a smartphone-based, cost-effective platform that can sense and measure the many different antibodies specific to SARS-CoV-2 a person may develop, in a testing format that is easy to use and can be completed within 15 min using an inexpensive paper-based test. \n\nThe team of researchers will develop a multiplexed POC immunoassay and serodiagnostic algorithm that will infer the vaccination/immunity status from up to 10 unique immunoreactions to distinguish an array of SARS-CoV-2 antibodies. For this, the research team will create a multiplexed vertical flow assay (xVFA) to simultaneously detect IgA, IgM, and IgG antibodies to the S protein (as well as variants of the S protein, such as delta, lambda, and other emerging variants), with separate immunoreaction sites dedicated to S-1, S-2, and the receptor-binding domain (RBD) of the S-protein in the SARS-CoV-2 virus and its most recent variants. Using existing and de-identified human serum samples, with the xVFA platform, the research team will screen COVID-19-positive samples, including those resulting from common variants (confirmed through reverse transcriptase-Polymerase Chain Reaction and sequencing) along with vaccinated samples and pre-pandemic un-vaccinated negative control samples. A neural network will then be trained using quantitative information from the multiplexed immunoreactions and the ground-truth clinical state over a set of remnant human serum samples. This training phase will (1) create a serodiagnostic algorithm to identify a positive immune response to SARS-CoV-2 infection (including common variants) or vaccination status using the multiplexed antibody measurements, and (2) identify the key subset of antibody-antigen interactions that most accurately represent and quantify an immune response to SARS-CoV-2 infection or protection via vaccination. A blinded testing phase will benchmark the performance enhancement of the multiplexed and data-driven approach to rigorously validate the trained inference network's generalization. By validating a new multiplexed vertical flow assay and serodiagnosis algorithm for COVID-19 immune protection, the research team aims to determine the significant improvements in sensitivity and specificity gained through the multiple measurements and computational analysis, which come with little added cost or operational steps, or required sample volume. This project will also establish a complementary educational outreach program that will involve (1) public interviews and popular science articles in news media and the internet; (2) undergraduate research opportunities involving underrepresented students; and (3) graduate student training through the organization of workshops, seminars and conferences.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "10991", "attributes": { "award_id": "5I01BX005469-02", "title": "COVID-19: Elucidating monoclonal and polyclonal seroantibody responses to the COVID-19 viral envelope", "funder": { "id": 4, "ror": "https://ror.org/01cwqze88", "name": "National Institutes of Health", "approved": true }, "funder_divisions": [], "program_reference_codes": [], "program_officials": [], "start_date": "2021-10-01", "end_date": "2023-09-30", "award_amount": null, "principal_investigator": { "id": 24795, "first_name": "Mohammad Mohseni", "last_name": "Sajadi", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1532, "ror": "https://ror.org/036a0e562", "name": "Baltimore VA Medical Center", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1532, "ror": "https://ror.org/036a0e562", "name": "Baltimore VA Medical Center", "address": "", "city": "", "state": "MD", "zip": "", "country": "United States", "approved": true }, "abstract": "Background/Rationale: As the Coronavirus Disease 2019 (COVID-19) epidemic expands across the United States and the world, there are no proven therapies and little information is known regarding on immunity to this virus. At this stage of the pandemic, all prevention and treatment strategies that show promise must be explored. This proposal will focus on the polyclonal and monoclonal antibody responses to the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) envelope. Objectives: The overarching goal of this program is to obtain a comprehensive understanding of the polyclonal and monoclonal response to the SARS-CoV-2 envelope E, M, and S proteins. The specific aims of this proposal are: 1) Deconvolute the polyclonal antibody response against the viral envelope of SARS-CoV-2; 2) Isolate neutralizing and non-neutralizing monoclonal antibodies against various epitopes of spike protein (S), envelope protein (E), and membrane glycoprotein (M) of SARS-CoV-2; and 3) Map the corresponding epitope(s) of the monoclonal antibodies. Methods: We will obtain paired, acute and convalescent, samples from 60 inpatients and outpatients with COVID-19 (30 have already been enrolled from the VA Maryland Health Care System and the University of Maryland Medical System). We will screen samples by binding, live and pseudovirus neutralization. In this proposal, we also will have access to BSL3 facilities on this campus that run neutralization assay with live virus by one of the world experts in coronaviruses (Matt Frieman, PhD). Donors will be ranked on the basis of both neutralization potency and breadth, and binding. The top three donors in each of the inpatient and outpatient groups will be chosen for further study (top anti-RBD neutralization and breath, top anti- receptor binding domain (RBD)-depleted plasma neutralization and breath, and top spike binding titers with non-neutralizing plasma). In these six individuals, the anti-envelope antibody will be affinity purified; and fractionated using free- flow-electrophoresis. This technique can separate antibodies based on charge, which will lead to separation based on targeted epitopes as well. Individual fractions will be tested by binding and neutralization; and characteristic biochemical and functional signatures of antibodies targeting each epitope will be ascertained. Fractions of interest (different for each donor depending if neutralization or binding is targeted) will be sent for mass spectrometry. B cell libraries will also be made from the convalescent IgG and IgA memory B cell pools; and they will be interrogated using three complementary techniques including - acute phase plasmablast repertoire analysis, subtraction analysis, and antigen baiting to identify potential antibodies. Finally, mass spectrometry will be used to rank antibody candidates. 40 monoclonal antibodies (mAbs) will be made and again be screened by neutralization potency, breadth, and isoelectric point, with top neutralizing and binding antibodies (matching the respective profiles of the fractions that were targeted) to be moved forward for fine epitope analysis by X-ray crystallography. Impact: If successful, this project will yield a substantial understanding of neutralizing/non-neutralizing antibodies and epitopes in COVID-19 disease, providing mAbs that can be moved into animal/human testing. This research has direct relevance to the health of Veterans as any monoclonal antibodies isolated can potentially be used for treatment and/or prevention of COVID-19.", "keywords": [ "2019-nCoV", "Acute", "Affinity Chromatography", "American", "Animals", "Antibodies", "Antibody Response", "Antigens", "Award", "B-Lymphocytes", "Binding", "Binding Sites", "Biochemical", "Biological Assay", "COVID-19", "COVID-19 patient", "COVID-19 prevention", "Categories", "Cells", "Cessation of life", "Characteristics", "Charge", "Codon Nucleotides", "Coronavirus", "Disease", "Doctor of Philosophy", "Electrophoresis", "Enrollment", "Epidemic", "Epitope Mapping", "Epitopes", "Family", "Fractionation", "Goals", "HIV", "Hand", "Health", "Healthcare Systems", "Human", "Immunity", "Immunoglobulin A", "Immunoglobulin G", "Individual", "Infection", "Inpatients", "Isoelectric Point", "Knowledge", "Libraries", "Maps", "Maryland", "Mass Spectrum Analysis", "Medical", "Membrane Glycoproteins", "Memory B-Lymphocyte", "Methods", "Monoclonal Antibodies", "Nucleoproteins", "Outpatients", "Patients", "Persons", "Phase", "Plasma", "Plasmablast", "Plasmids", "Prevention strategy", "Production", "Proteins", "Protocols documentation", "Research", "Running", "SARS-CoV-2 antibody", "SARS-CoV-2 infection", "SARS-CoV-2 spike protein", "Sampling", "System", "Techniques", "Testing", "United States", "Universities", "Vaccines", "Veterans", "Viral", "Virus", "X-Ray Crystallography", "biosafety level 3 facility", "convalescent plasma", "env Gene Products", "experience", "experimental study", "interest", "multiple myeloma M Protein", "neutralizing antibody", "novel therapeutics", "novel vaccines", "pandemic disease", "participant enrollment", "polyclonal antibody", "programs", "receptor binding", "response", "treatment strategy" ], "approved": true } } ], "meta": { "pagination": { "page": 5, "pages": 1442, "count": 14420 } } }