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Mount Baker Hub Business Association

The Street Festival is a fun community event at the Mt Baker Link light rail station 9/20/15, 11:30-6:00. The event will include live music, entertainment, art, food trucks and a design installation for Seattle Design Festival along the Rainier pedestrian overpass celebrating the area’s rich history. The Street Festival is partnering with Bicycle Sunday to offer cyclists an optional extension from the route along Lake Washington, through Mt Baker Blvd and culminating at the light rail plaza.

Muddy Lotus Festival

The Muddy Lotus Art planning committee will organize a free community art celebration featuring performances, demonstrations, and instruction in various artistic genres including painting, clay arts, and creative movement. It will be held on July 7, 2018 from 1 pm - 6 pm at Pritchard Island Beach located at 8400 55th Ave S.

Multi Cultural Mosiac Foundation

Multi Cultural Mosiac Foundation is an active grantmaking foundation based in Aurora, CO. Focus: arts. Contact the foundation directly for current funding opportunities.

ABC No Rio

Demolition of existing building to double the size of gallery and performance space, install insulation and soundproofing, install an elevator and make building ADA compliant, install new energy-and-water-efficient building-wide systems.

NSF

Protons and neutrons, which make up atomic nuclei, are comprised of fundamental particles known as quarks and gluons, whose interactions are described by quantum chromodynamics (QCD). QCD and the electroweak force should describe all nuclear processes, thereby explaining the inner workings of stars and the abundance of hydrogen versus helium and other elements in the universe. QCD also suggests that many other types of composite particles, known as hadrons, should exist in Nature as unstable resonances. Extracting such information from QCD is difficult, requiring large-scale computer simulations. QCD predictions of the structure of the proton and neutron, scattering involving one particular hadron known as a Delta baryon, and other heavier hadronic resonances will be investigated using supercomputing resources. The proposed research lends support to current experiments, such as the GlueX experiment in Hall D at the Thomas Jefferson National Accelerator Facility (JLab). The scattering information involving the Delta baryon will be crucial for current and future experiments studying neutrinos, an important elementary particle that permeates the universe. The PI will mentor a graduate student engaged in this research, and the graduate student will also receive training in the use of state-of-the-art parallel computing resources. The physics of hadron-hadron interactions will be studied by formulating QCD on a space-time lattice so that computer calculations of a variety of QCD correlation functions involving quark and gluon fields can be carried out. Nucleon-pion, nucleon-nucleon, and nucleon-hyperon scattering phase shifts will be investigated, yielding important information on hadron structure. Studies of three-meson systems will be continued to better understand certain nuclear reactions and meson resonances, such as the omega meson, which have significant three-body decay branching ratios. Scattering processes involving nucleon-pion-pion states will be considered in order to understand heavier baryon resonances, such as the Roper resonance. Form factors involving the nucleon and transitions through the Delta baryon will be a particular focus since they are crucial to accelerator-based neutrino experiments, such as the Deep Underground Neutrino Experiment (DUNE). Past work used a computational technique known as the stochastic Laplacian Heaviside (LapH) method, which made possible such computations in lattice QCD for the first time. Recent development of new software exploiting GPU accelerations has opened up the possibility of making exact LapH studies feasible, allowing unprecedented statistical precision of the results obtained. 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.

FIC - John E. Fogarty International Center for Advanced Study in the Health Sciences

ABSTRACT The proposed research aims to adapt and assess a multi-level intervention package to improve antiretroviral 3 therapy (ART) adherence and viral suppression among women living with HIV (WLHIV) across the lifespan in 4 Blantyre, Malawi. This proposed intervention aims to achieve and maintain viral suppression through improved 5 ART by addressing challenges related to experiences across interpersonal, community, organizational, and 6 structural levels. WLHIV in Malawi experience challenges including violence, social isolation, limited access to 7 quality healthcare, and economic instability. These experiences are often driven by stigma related to HIV and 8 perceived risk behaviors that create obstacles for women and ultimately, epidemic control for HIV. In response, 9 interventions that can reduce both the occurrence and impact of stigma are needed to effectively improve 10 access to quality care, its uptake, and HIV outcomes among women. In response, we have developed a 11 practical, multi-level intervention package that targets facilitators and drivers of stigma at the organizational, 12 community, and interpersonal levels to achieve optimal HIV outcomes. The package aims to innovatively 13 combine evidence-based program components to reduce 1) the occurrence of enacted stigma in interpersonal, 14 community, and healthcare settings, and 2) interrupt key mechanisms through which stigma affects health by 15 improving economic stability, social support, and mental health. This study builds on a strong collaboration of 16 more than 30 years between the Johns Hopkins University, the Malawi Ministry of Health and the Kamuzu 17 University of Health Sciences in Blantyre, Malawi. To accomplish this goal, our specific aims are: 1: Adapt a 18 multilevel intervention package for WLHIV in Blantyre, Malawi using the ADAPT-ITT model; 2: Implement a 19 pilot trial of the adapted multi-level intervention package among WLHIV in Blantyre, Malawi; and 3: Evaluate 20 the implementation process of the adapted multi-level intervention using the Consolidated Framework for 21 Implementation Research (CFIR). Reducing the occurrence and impact of stigma has the potential to support 22 long-term viral suppression, improved health outcomes, and higher quality of life among WLHIV across the 23 lifespan in Malawi. This experienced, multi-disciplinary investigative team brings together clinical, 24 epidemiological, and research expertise across HIV, mental health, stigma measurement and intervention 25 development, as well as decades of experience in clinical trials, research-practice partnerships, and 26 community engagement in Malawi. Our study design elements reflect these rich experiences and leverage 27 both implementation science and conventional observational/interventional approaches.

East African Art and Culture Association

East African youth ages 13-22 will learn multimedia video production skills and produce their own television programs using new equipment.

NSF

With support from the Environmental Chemical Sciences (ECS) and the Chemical Structure and Dynamics (CSD) Programs in the Division of Chemistry, Professor Haofei Zhang at the University of California, Riverside is investigating the roles of gas-phase OH and HO2 radicals in organic aerosols (OA) multiphase oxidation under atmospherically relevant conditions. OA are ubiquitous in the Earth’s atmosphere, significantly impacting air quality and human health. Questions regarding the OH-initiated heterogeneous OA oxidation remain elusive because of the large differences between laboratory and atmospheric conditions and analytical limitations. Professor Zhang and his students will conduct laboratory multiphase oxidation experiments of various OA systems under a range of conditions using a custom-designed flow reactor. They will investigate bimolecular and unimolecular peroxy radical autoxidation processes in the condensed phase in the presence of inorganic species and aerosol liquid water. They will utilize isomer-informed techniques to identify the oxidation products and elucidate the oxidation mechanisms. Their studies could provide critical knowledge for understanding aerosol aging chemistry, with potential implications for improving air quality, ultimately contributing to broader societal goals of environmental protection and public health. This project will also provide training opportunities for graduate and undergraduate students through institutional programs to enhance STEM education. This project will focus on studying the mechanism of organic aerosols (OA) multiphase oxidation under diverse conditions, including the interplay of gas-phase OH and HO2 radicals, the effects of core-shell structured binary OA particles, and the differences in OH oxidation under light and dark conditions. Furthermore, this research will assess the impacts of inorganic aerosol components on OA multiphase oxidation, including the effects of relative humidity, particle phase separation, and aerosol acidity. The multiphase oxidation kinetics and molecular-level chemical composition of key oxidation products will be analyzed using state-of-the-art mass spectrometry techniques, such as the thermal desorption chemical ionization mass spectrometry (TD-CIMS) and ion mobility spectrometry time of flight mass spectrometry (IMS-TOF). Additionally, a multiphase reaction-diffusion kinetic model will be developed to interpret experimental results and represent new oxidation mechanisms. Novel aspects of this project include realistic oxidation conditions with lower OH and higher HO2/OH ratios compared to prior studies, systematic aerosol acidity investigations, mechanistic impacts of binary aerosol systems, isomer-informed compositional measurements, and integrated kinetic modeling. This comprehensive approach may reveal accelerated OA multiphase oxidation with enhanced atmospheric impacts, potentially reconciling observational-laboratory discrepancies in OA chemical evolution studies. 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.

NSF

Glycans consist of long branching chains of different sugars. They adorn proteins of all types. Some viruses use glycans to enhance the probability of infection. Some tumors hide from the immune system by using “stealth” glycoproteins on their surfaces. Most of the top drugs by revenue are glycoproteins, and their glycans affect drug safety and efficacy. This places a premium on making sure that their glycans are well-characterized and carefully managed. The complexity of glycan structures makes it difficult to control their structure on therapeutic drugs. Conventional glycan characterization methods have steadily advanced, but many challenges continue to hinder efforts to study and engineer these critical molecules. Here, an approach is being developed to rapidly and inexpensively sequence and quantify glycan structures. It will be first applied to accelerate the characterization and design of critical glycans required in biotherapeutics. A high-school outreach program on biological machine learning will introduce high school students to concepts underlying data science and its application to biological and biomedical questions. State-of-the-art technologies for glycan sequencing remain limited in their throughput and accessibility. They rely on methods with expensive, specialized equipment (e.g., mass spectrometry, NMR) or complex biochemistry (e.g., lectin arrays, exoglycosidase treatment). This research project aims to develop Glycosequencing, a technology that determines glycan structures using Next-Generation Sequencing (NGS) technologies. Using NGS to sequence and quantify DNA-barcoded lectins, Glycosequencing will measure a wide array of glycan features. The mapping of lectin binding patterns to glycan structures will be predicted using AI, trained on a large panel of recombinant glycoproteins with well-defined glycosylation patterns. This project will first identify the optimal set of lectins and biochemically characterize them. The lectin barcoding will be prepared, and lectin pooling will be optimized for NGS. To improve the AI accuracy, a training dataset will be built using 5 different recombinant proteins, transiently produced in a panel of >30 glycoengineered Chinese hamster ovary cell lines. To demonstrate the power of this technology, it will first be deployed to rapidly determine the structure of glycans on recombinant protein drugs. It will also be used to simultaneously profile glycans and the mRNA of the mammalian production host cells when cultured on 92 different media. This will allow the rapid characterization of the impact of culture conditions on protein glycosylation of monoclonal antibody drugs and a candidate hepatitis C vaccine. 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.

NIAMS - National Institute of Arthritis and Musculoskeletal and Skin Diseases

PROJECT SUMMARY Planar cell polarity (PCP) is an ancient and near universal property of epithelial tissues in which subcellular protrusions and membrane-associated proteins asymmetrically localize and align within a tissue plane. PCP enables polarized cell behaviors such as directed cilia beating and collective cell motility, and mutations in PCP pathway components cause severe developmental malformations in mammals and structural birth defects in humans. Despite its ubiquity across species and its importance in embryonic development, basic principles of PCP establishment remain unknown, including how symmetry is initially broken, whether cell contact is required for asymmetry, and what is the minimal number of cells required to establish PCP. Our lab has developed the mouse epidermis as a powerful model system with which to decipher fundamental and conserved principles of PCP as well as mammalian innovations in the pathway. We have developed methods to perform long-term live imaging, FRAP, and super-resolution microscopy using endogenously-tagged PCP reporters. Together with strategies to generate mosaics and chimeras, the mouse skin is now on par with Drosophila in terms of genetic tools and techniques to study PCP, but in a mammalian system. Using these tools, our lab has directly addressed the question of how many cells are required to establish PCP. Inherent in this question is whether PCP proteins can partition cell autonomously, or if intercellular binding of PCP components between cells was necessary to initiate the process. Using chimeric mouse embryos in which dual-PCP reporter cells have been genetically uncoupled from their neighbors, we found that in the absence of intercellular interactions, PCP proteins do not polarize cell autonomously. Further, we demonstrated that intercellular binding of Celsr1 between just two cells is both necessary and sufficient to initiate the sorting of PCP complexes into asymmetric bridges, and formation of two Celsr1-enriched edges is sufficient to generate cellular-level asymmetry. Thus, intercellular binding of PCP complexes is the critical step that initiates sorting of opposing PCP complexes to generate asymmetry. Building on this discovery, this proposal seeks to define the molecular events downstream of Celsr1 homotypic binding that initiate the sorting of PCP complexes into asymmetric localizations (Aim 1), define the roles of cytosolic components Dvl and Pk and their phase separating behaviors in the process (Aim 2), and elucidate the molecular basis of Celsr1 asymmetric bridges (Aim 3). Combining state-of-the art genome engineering approaches, advanced live and super-resolution imaging combined with classic embryological approaches to generate embryos consisting of genetically distinct cells, successful completion of these aims with define the molecular mechanisms that break symmetry and amplify polarity during PCP establishment.

NSF

Loss of minerals from teeth owing to tooth decay or erosive tooth wear, or from bones owing to osteoporosis, compromises mechanical function, causes pain, and affects quality of life. Demineralization involves the dissolution of biological apatite crystallites. This project will create a computational model that will accurately predict time-dependent changes in mineralized tissue structure and composition. Based on robust structural, compositional, and thermodynamic data or quantum chemical computation, this model will show how the phases, interfaces, and dissolution dynamics contribute to healthy and pathological mineralized tissues. In the long-term, this model will be able to identify risk factors for enamel dissolution and enable personalized minimally invasive interventions to address mineral loss in teeth. The project will provide early career researchers with the skills to apply state-of-the-art computational and experimental materials science approaches to research in life sciences and engineering. Demineralization of teeth and bones is linked to multiple debilitating disorders with poor quality of life. These disorders involve the dissolution of apatite crystallites, and in dental enamel an amorphous intergranular phase (AIGP) is also involved. Minor constituents modulate the solubility and orientation-dependent interfacial free energies during demineralization. The interplay between the microstructure and composition of bulk phases, interfaces, mechanical stresses, and dissolution dynamics remains poorly understood, limiting predictive modeling. This is a major bottleneck to design clinically-relevant minimally invasive interventions. Therefore, this project will create and validate a modular and expandable phase field model (PFM) based on robust structural, compositional, and thermodynamic data. The team will use high-fidelity density functional theory (DFT) to model apatite structure and solubility, and determine orientation-dependent interfacial free energies in the physiological environment. A reverse Monte Carlo (RMC) approach constrained by experimental data will be used to model the composition-dependent structure, and DFT will predict properties of the AIGP. The project will expand the capabilities of PFM to account for multiple phases with composition-dependent solubility, diffuse transport and speciation in narrow pores, and the orientation-dependent surface energy and interface mobility. The project will refine and rigorously validate the PFM by comparing predicted dissolution rates of synthetic apatite and murine enamel to experimental data, and perform a sensitivity analysis to identify factors that contribute to rapid enamel dissolution to improve the accuracy of the model. 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.

NIA - National Institute on Aging

Cognition is intricately linked to the metabolic processes of the brain, yet existing computational models often overlook the metabolic costs associated with cognitive function. This oversight is critical, especially in neurodegenerative diseases like Alzheimer's, where metabolic dysfunctions play a significant role in cognitive decline. Despite advancements, research biases towards familial AD models have hindered a comprehensive understanding of metabolic changes in aging and late- onset AD, calling for focused investigations into sporadic late-life AD models. Our proposal aims to bridge this gap by comprehensively studying neuro-metabolic coupling using state-of-the-art imaging techniques and computational models. We propose a multifaceted approach involving in vivo microscopy, wide-field imaging, and MRI to elucidate the intricate relationship between neuronal activity and metabolic processes such as oxidative phosphorylation, glucose, lactate, and creatine dynamics. Our specific Aims include (1) Modeling SingleCell Neurometabolic Coupling: Utilizing in vivo two- photon microscopy, we will investigate the astrocyte-neuronal lactate shuttle and quantify the relationship between red blood cell velocity, lactate levels, and neural activity in late-onset AD mouse models. (2) Establishing Cortical Network Models of Neuro-Metabolic Coupling: We will employ multispectral wide-field imaging to examine the role of oxidative phosphorylation in neuronal connectivity, validate computational models with experimental capillary obstructions, and assess sex-specific differences in mitochondrial function. (3) Building a WholeBrain Theory of Neuro-Metabolic Coupling: Through non-invasive brain imaging techniques, we will explore the impact of glucose and creatine metabolism on whole-brain functional connectivity. We will integrate data from animal models and human cohorts to predict Excitation- Inhibition Balance patterns and identify metabolic biomarkers of cognitive decline. This project addresses critical gaps in our understanding of neuro-metabolic coupling in aging and late-onset AD, offering insights into metabolic vulnerabilities and potential targets for personalized therapeutic interventions. Our proposal combines modern neuroscience with multiscale imaging to construct comprehensive models of neuro-metabolic coupling, providing a novel framework for understanding brain function and dysfunction in aging and AD. By integrating data from animal models and human cohorts, we will uncover new insights into the metabolic underpinnings of cognitive decline, advance early diagnosis, and develop more accurate metabolic biomarkers for AD.

NSF

The understanding and accurate prediction of tropical cyclone formation (“genesis”) remains challenging. Sometimes, genesis from weak tropical waves in the western Atlantic and Caribbean occurs unexpectedly. These low-confidence forecasts give limited time for officials and the public to prepare for a potential hurricane impact. The project is aimed at advancing knowledge of these issues using conventional and AI techniques, ensemble forecasts, and state-of-the-art modeling. The project will offer insights and suggestions to forecasters and model developers on the strengths and weaknesses of conventional and AI-based models. Another expected outcome is the identification of time windows of increased and decreased predictive confidence, and thereby a basis for enhanced, actionable forecasts. The project will support the education of graduate and undergraduate students, and the introduction of AI and ensemble techniques in the classroom. Students will engage with professionals, advance outreach to increase public scientific literacy, and participate in mentoring programs. Results and software will be shared with the community. The research will use reanalysis data, ensemble forecasts, and multiscale modeling to investigate the processes and predictability in the 5 days leading up to genesis and immediately after. The mechanisms of weak waves that had a low genesis probability but developed into tropical cyclones will be compared against higher-probability developers and non-developers. While the fate of precursor disturbances is understood to depend on the environmental preconditioning and organization of convection, the specific nature of these processes remains open to question for the low-probability situations. A key hypothesis is that intense convective bursts occur on small scales and couple quickly with the wave, leading to upscale growth, rapid axisymmetrization, and genesis. The sensitivity of genesis to the timing and location of convection is expected to be high, suggesting a short range of predictability. In higher-probability developers, this sensitivity is expected to be lower. It is expected that there will be case-by-case variability which depends on the strength and symmetry of the precursor. The research will also include a novel AI-based wave tracker that surpasses the capability of conventional trackers in the western Atlantic and Caribbean, and investigations using the world’s first operational global ensemble that is driven by AI. 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.

NYC Department of Cultural Affairs

Municipal Art Society of New York

Seattle Chinatown International District Preservation and Development Authority

Community murals at 13th & Fir Family Housing is a collaborative effort between 206 Zulu and The Seattle Chinatown International District Preservation and Development Authority (SCIDpda). We aim to design, develop and execute public art for the forthcoming 13th & Fir Family Housing, a 6 story building providing space for 156 low-income family-sized apartment units, community-based commercial and retail services, and a childcare center. This project will create large scale art that is impactful and reflective of the immediate neighborhoods' collective values and diverse community. The art implementation will happen in phases as more funding is secured. This grant supports Phase I of the project. Phase I is anticipated to be completed by December 31, 2023.

NIAMS - National Institute of Arthritis and Musculoskeletal and Skin Diseases

The long-term goal of the project is to substantially improve the understanding of how muscle impacts bone loss. Muscle and bone may be connected via mechanostat loading, as bone adapts its morphology and strength from muscle contraction, or by bidirectional muscle-bone signaling, which occurs beyond a purely mechanical perspective. We propose to examine comprehensive muscle associations of maximal capacity of muscle to generate ATP (ATP max) by 31P-Magnetic Resonance Spectroscopy (31P–MRS), quadriceps (thigh) contractile volume by MRI, total muscle mass by D3 creatine dilution (D3Cr), muscle function (strength and power), and myokines with 5-year longitudinal change in bone density, microarchitecture and strength outcomes. The underlying scientific premise is that age-related decreases in the muscle ATP, volume, total mass, function and myokines lead to declines in bone density, microarchitecture and strength. This project leverages the recent renewal of the Study of Muscle, Mobility and Aging (SOMMA), the first prospective study of muscle aging, which evaluates the role of skeletal muscle to major mobility disability. In the first follow-up, we added measures of bone density, microarchitecture and strength (failure load by finite element analysis) using high-resolution peripheral quantitative computed tomography (HR-pQCT) in 327/385 (85%) of men and women (76+5 years; 61% women) in Pittsburgh, PA. We anticipate 294 will repeat an HR-pQCT scan at Visit 6 to determine: Aim 1, muscle energetics, mass, volume, and function (power, strength) associations with 5-year change in HR-pQCT bone density, microarchitecture, and strength; and Aim 2, if myokines (D-, L-BAIBA, GABA, and L-AABA aminobutyric acids) are associated with cross-sectional and 5-year change in HR-pQCT bone parameters. We will examine trabecular and cortical bone parameters in a weight bearing (tibia) and non-weight bearing (radius) bone site, adjust for key risk factors (e.g., BMI, physical activity) and evaluate if bone biomarkers (CTX-1, P1NP) explain associations. To our knowledge, no studies have linked ATP-max and thigh contractile volume to longitudinal changes volumetric BMD, microarchitecture and strength, or evaluated D3Cr and these longitudinal HR-pQCT changes on both older men and women. Our SOMMA ancillary study offers a cost-efficient opportunity to investigate muscle- bone longitudinal change using state-of-the-art measures. We will be the first to study novel properties of muscle energetics, mass, volume and function, and myokines, in association with changes in bone strength and microarchitecture in a well-characterized population of older men and women. We may potentially identify targeted muscle pathways that improve bone tissue.

NYC Department of Cultural Affairs

Museum of Arts & Design

Museum Of Ceramics Foundation

Museum Of Ceramics Foundation is an active grantmaking foundation based in E Liverpool, OH. Focus: arts. Contact the foundation directly for current funding opportunities.

City of Oakland

A general operating grant to support visual arts learning programs in its downtown Oakland museum and at more than 40 schools, libraries and community sites throughout Oakland.

King Open Extended Day Program

Museum of Fine Arts

Agassiz Baldwin Community

Museum of Fine Arts

Drama Fund for Cambridge Public Schools

Museum of Fine Arts

East End House

Museum of Fine Arts Boston

Museum Of Flight Foundation

Museum Of Flight Foundation is an active grantmaking foundation based in Tukwila, WA. Focus: arts. Contact the foundation directly for current funding opportunities.