25,784 results on '"Cheney A"'
Search Results
52. No-brainer: Morphological Computation Driven Adaptive Behavior in Soft Robots.
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Alican Mertan and Nick Cheney
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- 2024
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53. Investigating Premature Convergence in Co-optimization of Morphology and Control in Evolved Virtual Soft Robots.
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Alican Mertan and Nick Cheney
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- 2024
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54. MoLDy: Open-Source Library for Data-Based Modeling and Nonlinear Model Predictive Control of Soft Robots.
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Daniel G. Cheney and Marc D. Killpack
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- 2024
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55. PneuDrive: An Embedded Pressure Control System and Modeling Toolkit for Large-Scale Soft Robots.
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Curtis C. Johnson, Daniel G. Cheney, Dallin L. Cordon, and Marc D. Killpack
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- 2024
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56. Electrostatically embedded symmetry-adapted perturbation theory.
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Glick, Caroline S., Alenaizan, Asem, Cheney, Daniel L., Cavender, Chapin E., and Sherrill, C. David
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PERTURBATION theory ,QUANTUM mechanics ,COVALENT bonds ,WATER use ,ELECTROSTATICS - Abstract
Symmetry-adapted perturbation theory (SAPT) is an ab initio approach that directly computes noncovalent interaction energies in terms of electrostatics, exchange repulsion, induction/polarization, and London dispersion components. Due to its high computational scaling, routine applications of even the lowest order of SAPT are typically limited to a few hundred atoms. To address this limitation, we report here the addition of electrostatic embedding to the SAPT (EE-SAPT) and ISAPT (EE-ISAPT) methods. We illustrate the embedding scheme using water trimer as a prototype example. Then, we show that EE-SAPT/EE-ISAPT can be applied for efficiently and accurately computing noncovalent interactions in large systems, including solvated dimers and protein–ligand systems. In the latter application, particular care must be taken to properly handle the quantum mechanics/molecular mechanics boundary when it cuts covalent bonds. We investigate various schemes for handling charges near this boundary and demonstrate which are most effective in the context of charge-embedded SAPT. [ABSTRACT FROM AUTHOR]
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- 2024
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57. Challenges to Engaging Women Veterans in Quality Improvement From Patient Care to Policy: Women's Health Managers' Perspectives
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Olmos-Ochoa, Tanya T, Luger, Tana M, Oishi, Anneka, Dyer, Karen E, Sumberg, Annie, Canelo, Ismelda, Gideonse, Theodore K, Cheney, Ann, Yano, Elizabeth M, and Hamilton, Alison B
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Health Services and Systems ,Health Sciences ,Health and social care services research ,8.1 Organisation and delivery of services ,Generic health relevance ,Good Health and Well Being ,Humans ,Female ,Patient Care ,Health Policy ,Quality Improvement ,United States Department of Veterans Affairs ,United States ,Veterans Health ,Women ,Women's Health ,Veterans ,Paediatrics and Reproductive Medicine ,Public Health and Health Services ,Public Health ,Midwifery ,Public health ,Policy and administration - Abstract
IntroductionPatients are uniquely positioned to identify issues and to provide innovative solutions to problems impacting their care. Yet, patient engagement in quality improvement (QI) and health care governance remains limited and underexplored. In the Veterans Health Administration, the work of women's health managers (WHMs) includes engaging women veterans, a numerical minority with unique health care needs, in QI. We aimed to understand the extent to which WHMs engage women veterans along a continuum, highlight challenges to engagement, and identify potential strategies to facilitate multilevel patient engagement.MethodsData were generated from a multisite evaluation to improve delivery of comprehensive women's health care in Veterans Health Administration primary care sites. We conducted 39 semistructured interviews with WHMs across 21 sites. Guided by Carman et al.'s patient engagement framework, we analyzed the interviews using rapid-qualitative and content analysis methods.ResultsWhen effectively engaged, women veterans were important champions and partners in QI activities to improve the structure and delivery of care. However, most WHMs engaged women veterans in mainly informal or passive ways-that is, solicited feedback through comment cards, surveys, focus groups, and townhall meetings-and did not report pursuing more in-depth or long-term forms of engagement. WHMs also identified a variety of facilitators and challenges to engaging women veterans in QI.ConclusionsThere may be unanticipated benefits to health care policy from engaging patients in QI, especially for patients with unique health care needs who represent a minority within the health care system. However, managers require training and workflow integration of patient engagement tasks to increase their efficiency and allow for meaningful patient engagement.
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- 2023
58. The Role of Anti-Racist Community-Partnered Praxis in Implementing Restorative Circles Within Marginalized Communities in Southern California During the COVID-19 Pandemic
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Adkins-Jackson, Paris B, Vázquez, Evelyn, Henry-Ala, Frank K, Ison, Juliana M, Cheney, Ann, Akingbulu, Josephine, Starks, Christian, Slay, Lindsay, Dorsey, Alexander, Marmolejo, Connie, Stafford, Alvin, Wen, James, McCauley, Margaret H, Summers, Latrese, Bermudez, Llendy, Cruz-Roman, Zitlaly L, Castillo, Itzel, Kipke, Michele D, Brown, Arleen F, and Workgroup, The STOP COVID-19 CA Vaccine Hesitancy
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Health Services and Systems ,Health Sciences ,Clinical Research ,Prevention ,Infection ,Good Health and Well Being ,Humans ,Pandemics ,COVID-19 ,California ,Trust ,Mental Health ,Community-Based Participatory Research ,community-based ,mental health ,restorative ,antiracism ,CBPR ,partnerships ,community-academic partnerships ,intervention planning ,STOP COVID-19 CA Vaccine Hesitancy Workgroup ,community–academic partnerships ,Public Health and Health Services ,Curriculum and Pedagogy ,Public health - Abstract
The COVID-19 pandemic has exacerbated the adverse influence of structural racism and discrimination experienced by historically marginalized communities (e.g., Black, Latino/a/x, Indigenous, and transgender people). Structural racism contributes to trauma-induced health behaviors, increasing exposure to COVID-19 and restricting access to testing and vaccination. This intersection of multiple disadvantages has a negative impact on the mental health of these communities, and interventions addressing collective healing are needed in general and in the context of the COVID-19 pandemic. The Share, Trust, Organize, and Partner COVID-19 California Alliance (STOP COVID-19 CA), a statewide collaborative of 11 universities and 75 community partners, includes several workgroups to address gaps in COVID-19 information, vaccine trial participation, and access. One of these workgroups, the Vaccine Hesitancy Workgroup, adopted an anti-racist community-partnered praxis to implement restorative circles in historically marginalized communities to facilitate collective healing due to structural racism and the COVID-19 pandemic. The project resulted in the development of a multilevel pre-intervention restorative process to build or strengthen community-institutional partnerships when procurement of funds has been sought prior to community partnership. This article discusses this workgroup's role in advancing health justice by providing a community-based mental health intervention to marginalized communities in Southern California while using an antiracist praxis tool to develop a successful community-institutional partnership and to live up to the vision of community-based participatory research.
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- 2023
59. Private Federated Statistics in an Interactive Setting
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McMillan, Audra, Javidbakht, Omid, Talwar, Kunal, Briggs, Elliot, Chatzidakis, Mike, Chen, Junye, Duchi, John, Feldman, Vitaly, Goren, Yusuf, Hesse, Michael, Jina, Vojta, Katti, Anil, Liu, Albert, Lyford, Cheney, Meyer, Joey, Palmer, Alex, Park, David, Park, Wonhee, Parsa, Gianni, Pelzl, Paul, Rishi, Rehan, Song, Congzheng, Wang, Shan, and Zhou, Shundong
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Computer Science - Cryptography and Security - Abstract
Privately learning statistics of events on devices can enable improved user experience. Differentially private algorithms for such problems can benefit significantly from interactivity. We argue that an aggregation protocol can enable an interactive private federated statistics system where user's devices maintain control of the privacy assurance. We describe the architecture of such a system, and analyze its security properties.
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- 2022
60. Language-Integrated Query for Temporal Data (Extended version)
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Fowler, Simon, Galpin, Vashti, and Cheney, James
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Computer Science - Programming Languages - Abstract
Modern applications often manage time-varying data. Despite decades of research on temporal databases, which culminated in the addition of temporal data operations into the SQL:2011 standard, temporal data query and manipulation operations are unavailable in most mainstream database management systems, leaving developers with the unenviable task of implementing such functionality from scratch. In this paper, we extend \emph{language-integrated query} to support writing temporal queries and updates in a uniform host language, with the language performing the required rewriting to emulate temporal capabilities automatically on any standard relational database. We introduce two core languages, $\lambda_{\mathsf{TLINQ}}$ and $\lambda_{\mathsf{VLINQ}}$, for manipulating transaction time and valid time data respectively, and formalise existing implementation strategies by giving provably correct semantics-preserving translations into a non-temporal core language, $\lambda_{\mathsf{LINQ}}$. We show how existing work on query normalisation supports a surprisingly simple implementation strategy for \emph{sequenced joins}. We implement our approach in the Links programming language, and describe a non-trivial case study based on curating COVID-19 statistics., Comment: Extended version of paper accepted to GPCE 2022
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- 2022
61. Resilience and Low Substance Use Among Indigenous College Students from a Sexual Assault Prevention Study
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Armstrong, Cassidy M., Unger, Leslie D., Pomani, Savannah, Cole, Reagan, Morin, Erin, Cheney, Marshall K., Anderson, RaeAnn E., and Cole, Ashley B.
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- 2023
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62. CITEViz: interactively classify cell populations in CITE-Seq via a flow cytometry-like gating workflow using R-Shiny
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Garth L. Kong, Thai T. Nguyen, Wesley K. Rosales, Anjali D. Panikar, John H. W. Cheney, Theresa A. Lusardi, William M. Yashar, Brittany M. Curtiss, Sarah A. Carratt, Theodore P. Braun, and Julia E. Maxson
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CITE-Seq ,Single-cell RNA-Seq ,scRNA-Seq ,R-Shiny ,Single-cell ,Multi-omic ,Computer applications to medicine. Medical informatics ,R858-859.7 ,Biology (General) ,QH301-705.5 - Abstract
Abstract Background The rapid advancement of new genomic sequencing technology has enabled the development of multi-omic single-cell sequencing assays. These assays profile multiple modalities in the same cell and can often yield new insights not revealed with a single modality. For example, Cellular Indexing of Transcriptomes and Epitopes by Sequencing (CITE-Seq) simultaneously profiles the RNA transcriptome and the surface protein expression. The surface protein markers in CITE-Seq can be used to identify cell populations similar to the iterative filtration process in flow cytometry, also called “gating”, and is an essential step for downstream analyses and data interpretation. While several packages allow users to interactively gate cells, they often do not process multi-omic sequencing datasets and may require writing redundant code to specify gate boundaries. To streamline the gating process, we developed CITEViz which allows users to interactively gate cells in Seurat-processed CITE-Seq data. CITEViz can also visualize basic quality control (QC) metrics allowing for a rapid and holistic evaluation of CITE-Seq data. Results We applied CITEViz to a peripheral blood mononuclear cell CITE-Seq dataset and gated for several major blood cell populations (CD14 monocytes, CD4 T cells, CD8 T cells, NK cells, B cells, and platelets) using canonical surface protein markers. The visualization features of CITEViz were used to investigate cellular heterogeneity in CD14 and CD16-expressing monocytes and to detect differential numbers of detected antibodies per patient donor. These results highlight the utility of CITEViz to enable the robust classification of single cell populations. Conclusions CITEViz is an R-Shiny app that standardizes the gating workflow in CITE-Seq data for efficient classification of cell populations. Its secondary function is to generate basic feature plots and QC figures specific to multi-omic data. The user interface and internal workflow of CITEViz uniquely work together to produce an organized workflow and sensible data structures for easy data retrieval. This package leverages the strengths of biologists and computational scientists to assess and analyze multi-omic single-cell datasets. In conclusion, CITEViz streamlines the flow cytometry gating workflow in CITE-Seq data to help facilitate novel hypothesis generation.
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- 2024
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63. DP-68 permanent ground anchors.
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Cheney, Richard S.
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Anchorage (Structural engineering) ,Guy anchors -- Design and construction. ,Tie-rods -- Design and construction. ,Retaining walls -- Design and construction. - Published
- 1990
64. Nominal Matching Logic
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Cheney, James and Fernández, Maribel
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Computer Science - Logic in Computer Science ,Computer Science - Programming Languages - Abstract
We introduce Nominal Matching Logic (NML) as an extension of Matching Logic with names and binding following the Gabbay-Pitts nominal approach. Matching logic is the foundation of the $\mathbb{K}$ framework, used to specify programming languages and automatically derive associated tools (compilers, debuggers, model checkers, program verifiers). Matching logic does not include a primitive notion of name binding, though binding operators can be represented via an encoding that internalises the graph of a function from bound names to expressions containing bound names. This approach is sufficient to represent computations involving binding operators, but has not been reconciled with support for inductive reasoning over syntax with binding (e.g., reasoning over $\lambda$-terms). Nominal logic is a formal system for reasoning about names and binding, which provides well-behaved and powerful principles for inductive reasoning over syntax with binding, and NML inherits these principles. We discuss design alternatives for the syntax and the semantics of NML, prove meta-theoretical properties and give examples to illustrate its expressive power. In particular, we show how induction principles for $\lambda$-terms ($\alpha$-structural induction) can be defined and used to prove standard properties of the $\lambda$-calculus., Comment: To appear, PPDP 2022
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- 2022
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65. Constraint-based type inference for FreezeML
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Emrich, Frank, Stolarek, Jan, Cheney, James, and Lindley, Sam
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Computer Science - Programming Languages - Abstract
FreezeML is a new approach to first-class polymorphic type inference that employs term annotations to control when and how polymorphic types are instantiated and generalised. It conservatively extends Hindley-Milner type inference and was first presented as an extension to Algorithm W. More modern type inference techniques such as HM(X) and OutsideIn($X$) employ constraints to support features such as type classes, type families, rows, and other extensions. We take the first step towards modernising FreezeML by presenting a constraint-based type inference algorithm. We introduce a new constraint language, inspired by the Pottier/R\'emy presentation of HM(X), in order to allow FreezeML type inference problems to be expressed as constraints. We present a deterministic stack machine for solving FreezeML constraints and prove its termination and correctness.
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- 2022
66. Creating Cultures of Health in the Academy: Bringing Together Top-Down and Ground-Up Approaches.
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Cheney, Ann Marie, Vázquez, Evelyn, and Chobdee, Julie
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Public Health ,Health Sciences ,Clinical Research ,Generic health relevance ,Quality Education ,cultures of health ,healthy campus ,health-promoting universities and colleges ,leadership ,health equity ,sustainability ,Medical and Health Sciences ,Education ,Psychology and Cognitive Sciences ,Public health ,Applied and developmental psychology - Abstract
This article reports on a 3-year longitudinal study focused on the impact of cross-sector, collective impact approaches to creating cultures of campus health. The study sought to understand the integration of health and well-being concepts into university operations, including business practices and policies, as well as the contribution of public health initiatives focused on health-promoting universities to creating cultures of campus health for students, staff, and faculty. Research was carried out from spring 2018 to spring 2020 via focus group data collection and rapid qualitative analysis involving template and matrix analysis. A total of 18 focus groups were conducted across the 3-year study, six with students, eight with staff, and four with faculty. The initial cohort included 70 participants: 26 students, 31 staff, and 13 faculty. Qualitative analysis findings indicate a general pattern of change over time from a primary focus on well-being characterized by programs and services (e.g., fitness classes) to policy and structural-level interventions (e.g., stairwell beautification and hydration stations) promoting well-being for all. Grass-top and grassroots leadership and action were instrumental to changes in working and learning environments, policies, and campus environment/infrastructure. This work contributes to the growing literature on health-promoting universities and colleges and demonstrates the critical role of both top-down and ground-up approaches and leadership efforts to create more equitable and sustainable cultures of campus health and well-being.
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- 2023
67. Ancestral recipes: a mixed-methods analysis of MyPlate-based recipe dissemination for Latinos in rural communities.
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Cheney, Ann, McCarthy, William, Pozar, María, Reaves, Christina, Ortiz, Gabriela, Lopez, Diana, Saldivar, Perla, and Gelberg, Lillian
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Chronic disease ,Community-based interventions ,Diabetes ,Latinx / indigenous Latin Americans ,Low-income patients ,MyPlate ,Nutrition education ,Purépecha community ,Humans ,Female ,Adult ,Middle Aged ,Male ,Rural Population ,Diabetes Mellitus ,Type 2 ,Hispanic or Latino ,Food ,Mental Processes - Abstract
BACKGROUND: The Latinx population experiences some of the highest rates of chronic disease, including obesity and type II diabetes. Such conditions may be especially burdensome in rural Latinx communities that often face barriers to accessing disease prevention resources and public health programs. METHODS: Diverse stakeholders (i.e., patients, community members, system of healthcare clinics, community food bank) tailored an existing cookbook, based on the U.S. Department of Agriculture MyPlate healthy eating and dietary guidelines, for local ingredients, health literacy, and language for rural Latinx and Indigenous Latin Americans. The cookbook recipes were disseminated widely via virtual cooking demonstrations, food distribution events, and social media. Pre- and posttest surveys were used to assess changes in diabetes knowledge measured by the 24-item American Diabetes Association Diabetic Knowledge Questionnaire and confidence in dietary behavior change over time measured by 4 questions of the 17-item Mediterranean Diet Index. A mixed effects, repeated measures analysis was conducted with gender ID, age range and educational attainment included as covariates and assessment interval as the predictor (pretest vs posttest) and change in confidence about adhering to four specific components of the Mediterranean diet. Focus groups elicited information on participants motivation and ability to use the recipes and eat healthy foods following the virtual cooking demonstration participation. RESULTS: A total of 20 virtual cooking demonstrations were conducted and 60 participants completed a pretest survey and 54 a posttest survey, a subsample (n = 19) participated in one of three focus groups. Most participants were female, identified as Latinx/Hispanic, were between the ages of 40-49, and spoke Spanish. 17% identified as Indigenous Latin American specifically as Purépecha, an indigenous group from Michoacán, Mexico. Survey and focus group findings indicated at posttest an increase in diabetes knowledge among participants with no prior diagnosis of chronic health conditions and more confidence in limiting sugary beverages and refined wheat pasta/white rice among indigenous participants. Focus group discussions explicated the quantitative findings. CONCLUSION: This study brought together patients and key stakeholders committed to addressing the social determinants of health and it mobilized the community to develop culturally vetted health education materials. The findings indicate the need for increased access to evidence-based nutrition education and to culturally appropriate food products that can be easily incorporated into daily food preparation.
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- 2023
68. Perceptions of the Coronavirus and COVID-19 testing and vaccination in Latinx and Indigenous Mexican immigrant communities in the Eastern Coachella Valley
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Gehlbach, Daniel, Vázquez, Evelyn, Ortiz, Gabriela, Li, Erica, Sánchez, Cintya Beltrán, Rodríguez, Sonia, Pozar, María, and Cheney, Ann M
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Health Services and Systems ,Public Health ,Health Sciences ,Vaccine Related ,Basic Behavioral and Social Science ,Immunization ,Emerging Infectious Diseases ,Behavioral and Social Science ,Biodefense ,Infectious Diseases ,Prevention ,Clinical Research ,Infection ,Good Health and Well Being ,COVID-19 ,COVID-19 Testing ,Emigrants and Immigrants ,Ethnicity ,Humans ,Minority Groups ,SARS-CoV-2 ,United States ,Vaccination ,Health disparities ,Immigrant health ,Latinx ,Community-based participatory research ,Indigenous Mexicans ,Public Health and Health Services ,Epidemiology ,Health services and systems ,Public health - Abstract
BackgroundA novel coronavirus, SARS-CoV-2 (known as COVID-19), spread rapidly around the world, affecting all and creating an ongoing global pandemic. Across the United States, Latinx and Indigenous populations have been disproportionately affected by COVID-19 cases and death rates. An examination of the perceptions and beliefs about the spread of the virus, COVID-19 testing, and vaccination amongst racial-ethnic minority groups, specifically Latinx and Indigenous Latin American immigrant communities, is needed to alleviate the widespread disparity in new cases and deaths.MethodsThis study was carried out from August 2020 to January 2021 and used community-based participatory research to engage community partners and build the capacity of community health workers (i.e., promotores de salud) and pre-medical and medical students in conducting qualitative research. The objective of the study was to examine the structural and social determinants of health on perceptions of the coronavirus, its spread, and decisions around COVID-19 testing and vaccination. Data collection included ethnography involving observations in public settings and focus groups with members of Latinx and Indigenous Mexican farm-working communities in the Eastern Coachella Valley, located in the Inland Southern California desert region. A total of seven focus groups, six in Spanish and one in Purépecha, with a total of 55 participants were conducted. Topics covered include perceptions of the coronavirus and its spread, as well as COVID-19 testing and vaccination.ResultsUsing theme identification techniques, the findings identify structural and social factors that underly perceptions held by Latinx and Indigenous Mexican immigrants about the virus and COVID-19, which, in turn, shape attitudes and behaviors related to COVID-19 testing and vaccination. Common themes that emerged across focus groups include misinformation, lack of trust in institutions, and insecurity around employment and residency.ConclusionsThis immigrant population is structurally vulnerable to historical and present-day inequalities that put them at increased risk of COVID-19 exposure, morbidity, and mortality. Study findings indicate a significant need for interventions that decrease structural vulnerabilities by addressing issues of (dis)trust in government and public health among this population.
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- 2022
69. Rhetorical Approaches to Qualitative Organizational Communication Research
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Conrad, Charles, primary and Cheney, George, additional
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- 2024
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70. Development and characterization of monoclonal antibodies recognizing nucleocapsid protein of multiple SARS-CoV-2 variants
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Hongyu Qiu, Xin-Yong Yuan, Kimberly Holloway, Heidi Wood, Teresa Cabral, Chris Grant, Peter McQueen, Garrett Westmacott, Daniel R. Beniac, Lisa Lin, Michael Carpenter, Darwyn Kobasa, Tom Gräfenhan, and Ian Wayne Cheney
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SARS-CoV-2 ,Anti-nucleocapsid protein (NP) monoclonal antibodies (mAbs) ,Rapid antigen test (RAT) ,Omicron lineages ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Rapid antigen test (RAT) is widely used for SARS-CoV-2 infection diagnostics. However, test sensitivity has decreased recently due to the emergence of the Omicron variant and its sublineages. Here we developed a panel of SARS-CoV-2 nucleocapsid protein (NP) specific mouse monoclonal antibodies (mAbs) and assessed their sensitivity and specificity to important SARS-CoV-2 variants. We identified seven mAbs that exhibited strong reactivity to SARS-CoV-2 variants and recombinant NP (rNP) by Western immunoblot or ELISA. Their specificity to SARS-CoV-2 was confirmed by negative or low reactivity to rNPs from SARS-CoV-1, MERS, and common human coronaviruses (HCoV-HKU1, HCoV–CO43, HCoV-NL63, and HCoV-229E). These seven mAbs were further tested by immunoplaque assay against selected variants of concern (VOCs), including two Omicron sublineages, and five mAbs (F461G13, F461G7, F459G7, F457G3, and F461G6), showed strong reactions, warranting further suitability testing for the development of diagnostic assay.
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- 2024
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71. Protocol for a randomised controlled unblinded feasibility trial of HD-DRUM: a rhythmic movement training application for cognitive and motor symptoms in people with Huntington’s disease
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Monica Busse, Philip Pallmann, Anne E Rosser, Robin Schubert, Derek Jones, Claudia Metzler-Baddeley, Vasileios Ioakeimidis, Cheney J G Drew, Guy B Watson, and Marco Palombo
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Medicine - Abstract
Introduction Huntington’s disease (HD) is an inherited neurodegenerative disease causing progressive cognitive and motor decline, largely due to basal ganglia (BG) atrophy. Rhythmic training offers promise as therapy to counteract BG-regulated deficits. We have developed HD-DRUM, a tablet-based app to enhance movement synchronisation skills and improve cognitive and motor abilities in people with HD. This paper outlines a randomised controlled unblinded trial protocol to determine the feasibility of a larger effectiveness trial for HD-DRUM. Additionally, the trial investigates cognitive and motor function measures, along with brain microstructure, aiming to advance our understanding of the neural mechanisms underlying training effects.Methods, design and analysis 50 individuals with HD, confirmed by genetic testing, and a Total Functional Capacity (TFC) score of 9–13, will be recruited into a two-arm randomised controlled feasibility trial. Consenting individuals with HD will be randomised to the intervention group, which entails 8 weeks of at-home usage of HD-DRUM or a usual-activity control group. All participants will undergo cognitive and motor assessments, alongside ultra-strong gradient (300 mT/m) brain microstructural MRI before and after the 8-week period. The feasibility assessment will encompass recruitment, retention, adherence and acceptability of HD-DRUM following prespecified criteria. The study will also evaluate variations in cognitive and motor performance and brain microstructure changes resulting from the intervention to determine effect size estimates for future sample size calculations.Ethics and dissemination The study has received favourable ethical opinion from the Wales Research Ethics Committee 2 (REC reference: 22/WA/0147) and is sponsored by Cardiff University (SPON1895-22) (Research Integrity, Governance and Ethics Team, Research & Innovation Services, Cardiff University, second Floor, Lakeside Building, University Hospital of Wales, Cardiff, CF14 4XW). Findings will be disseminated to researchers and clinicians in peer-reviewed publications and conference presentations, and to participants, carers and the general public via newsletters and public engagement activities. Data will be shared with the research community via the Enroll-HD platform.Trial registration number ISRCTN11906973.
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- 2024
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72. Utilizing computational materials modeling and big data to develop printable high gamma prime superalloys for additive manufacturing
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Jonathon Bracci, Kevin Kaufmann, Jesse Schlatter, James Vecchio, Naixie Zhou, Sicong Jiang, Kenneth S. Vecchio, and Justin Cheney
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additive manufacturing ,nickel-based superalloys ,calculation of phase diagrams ,computational materials engineering ,gamma prime ,Mining engineering. Metallurgy ,TN1-997 - Abstract
Metal-based additive manufacturing offers potential to disrupt the manufacturing process across multiple industries. However, the vast majority of modern alloys are incompatible with the complex thermal histories of additive manufacturing. For example, the high gamma prime forming nickel-based superalloys are of considerable commercial interest owing to their properties; however, their gamma prime content renders them non-weldable and prone to cracking during additive manufacturing. Computational materials modeling and big data analytics is becoming an increasingly valuable tool for developing new alloys for additive manufacturing. This work reports the use of such tools toward the design of a high gamma prime superalloy with reduced cracking susceptibility while maintaining similar hardness to CM247. Experimental fabrication and characterization of the candidate alloys is performed. Results show the candidate alloys have improved printability, up to 41x reduction in crack density (mm/mm2) compared with CM247, and good agreement with the modeled predictions.
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- 2024
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73. Exploring sleepiness and stress among London bus drivers: An on-road observational study
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Miller, Karl A., Filtness, Ashleigh J., Anund, Anna, Pilkington-Cheney, Fran, Maynard, Sally, and Sjörs Dahlman, Anna
- Published
- 2024
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74. Long-term outcomes of early exposure to repeated general anaesthesia in children with cystic fibrosis (CF-GAIN): a multicentre, open-label, randomised controlled phase 4 trial
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Armstrong, Daniel, Byrnes, Catherine, Carlin, John, Carzino, Rosemary, Cheney, Joyce, Cooper, Peter, George, Narelle, Grimwood, Keith, Martin, James, McKay, Karen, Moodie, Marj, Robertson, Colin, Tiddens, Harm, Vidmar, Suzanna, Wainwright, Claire, Whitehead, Bruce, Anderson, Vicki, Bourgeat, Pierrick, Davidson, Andrew, Gailer, Nicholas, Grayson-Collins, Jasmin, Salvado, Olivier, Quittner, Alexandra, Wainwright, Claire Elizabeth, Carlin, John Brooke, Zannino, Diana, and Armstrong, Floyd Daniel
- Published
- 2024
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75. Situations and roles of cannabis versus cigarette use: Integrating ecological momentary assessment with qualitative mapping interviews
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McQuoid, Julia, Regan, Timothy, Devkota, Janardan, Cheney, Marshall K., Kumar, Vaishnavi, Oehlers, Julia, Lopez-Paguyo, Kekoa, Nguyen, Nhung, Meacham, Meredith C., Ling, Pamela M., and Thrul, Johannes
- Published
- 2024
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76. Midwives’ and registered nurses’ role and scope of practice in acute early pregnancy care settings in Australia: A qualitative descriptive study
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Freeman, Nicole, Moroney, Tracey, Warland, Jane, Cheney, Kate, and Bradfield, Zoe
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- 2024
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77. Gastrocnemius recession: Discrepancies in the literature
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Ehrenborg, Nicholas, Davis, Connor, Tremoulis, Jacob, Bussert, Brett R., Cheney, Nicholas A., and O’Connor, Patrick M.
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- 2024
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78. Professional Development for Online Teaching: A Literature Review
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Leary, Heather, Dopp, Cade, Turley, Chad, Cheney, Matthew, Simmons, Zach, Graham, Charles R., and Hatch, Riley
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The growth of online learning has created a need for instructors who can competently teach online. This literature review explores the research questions, program recommendations, and future research suggestions related to professional development for online instructors. Articles were selected and coded based on date of publication and the context of the professional development. Results indicate that most research questions focused on (a) professional development programs, (b) instructors, and (c) instructors' online courses. Most program recommendations focused on (a) professional development programs, (b) context of professional development, and (c) instructors' activity during professional development. Future recommendations for research topics focused on professional development programs and instructors, while future recommendations for research methods focused on research design and institutional settings. The findings suggest that while professional development for online instructors is important, consistency in both design and delivery is lacking. Future research is needed to provide guidance to programs, instructors, and institutions leading to satisfaction and success for more online students.
- Published
- 2020
79. Estimation of Gait Parameters in Huntington’s Disease Using Wearable Sensors in the Clinic and Free-living Conditions
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Manuel Lozano-Garcia, Emer P. Doheny, Elliot Mann, Philippa Morgan-Jones, Cheney Drew, Monica Busse-Morris, and Madeleine M. Lowery
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ActivPAL ,gait event detection ,Fitbit ,free-living monitoring ,Huntington’s disease ,validation ,Medical technology ,R855-855.5 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
In Huntington’s disease (HD), wearable inertial sensors could capture subtle changes in motor function. However, disease-specific validation of methods is necessary. This study presents an algorithm for walking bout and gait event detection in HD using a leg-worn accelerometer, validated only in the clinic and deployed in free-living conditions. Seventeen HD participants wore shank- and thigh-worn tri-axial accelerometers, and a wrist-worn device during two-minute walk tests in the clinic, with video reference data for validation. Thirteen participants wore one of the thigh-worn tri-axial accelerometers (AP: ActivPAL4) and the wrist-worn device for 7 days under free-living conditions, with proprietary AP data used as reference. Gait events were detected from shank and thigh acceleration using the Teager-Kaiser energy operator combined with unsupervised clustering. Estimated step count (SC) and temporal gait parameters were compared with reference data. In the clinic, low mean absolute percentage errors were observed for stride (shank/thigh: 0.6/0.9%) and stance (shank/thigh: 3.3/7.1%) times, and SC (shank/thigh: 3.1%). Similar errors were observed for proprietary AP SC (3.2%), with higher errors observed for the wrist-worn device (10.9%). At home, excellent agreement was observed between the proposed algorithm and AP software for SC and time spent walking (ICC $_{{2},{1}}\gt 0.975$ ). The wrist-worn device overestimated SC by 34.2%. The presented algorithm additionally allowed stride and stance time estimation, whose variability correlated significantly with clinical motor scores. The results demonstrate a new method for accurate estimation of HD gait parameters in the clinic and free-living conditions, using a single accelerometer worn on either the thigh or shank.
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- 2024
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80. Assessing Free-Living Postural Sway in Persons With Multiple Sclerosis
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Brett M. Meyer, Jenna G. Cohen, Paolo DePetrillo, Melissa Ceruolo, David Jangraw, Nick Cheney, Andrew J. Solomon, and Ryan S. McGinnis
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Postural sway ,wearables ,digital biomarkers ,clinical validation ,remote monitoring ,Medical technology ,R855-855.5 ,Therapeutics. Pharmacology ,RM1-950 - Abstract
Postural instability is associated with disease status and fall risk in Persons with Multiple Sclerosis (PwMS). However, assessments of postural instability, known as postural sway, leverage force platforms or wearable accelerometers, and are most often conducted in laboratory environments and are thus not broadly accessible. Remote measures of postural sway captured during daily life may provide a more accessible alterative, but their ability to capture disease status and fall risk has not yet been established. We explored the utility of remote measures of postural sway in a sample of 33 PwMS. Remote measures of sway differed significantly from lab-based measures, but still demonstrated moderately strong associations with patient-reported measures of balance and mobility impairment. Machine learning models for predicting fall risk trained on lab data provided an Area Under Curve (AUC) of 0.79, while remote data only achieved an AUC of 0.51. Remote model performance improved to an AUC of 0.74 after a new, subject-specific k-means clustering approach was applied for identifying the remote data most appropriate for modelling. This cluster-based approach for analyzing remote data also strengthened associations with patient-reported measures, increasing their strength above those observed in the lab. This work introduces a new framework for analyzing data from remote patient monitoring technologies and demonstrates the promise of remote postural sway assessment for assessing fall risk and characterizing balance impairment in PwMS.
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- 2024
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81. The Soft X-ray Imager (SXI) on the SMILE Mission
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S. Sembay, A. L. Alme, D. Agnolon, T. Arnold, A. Beardmore, A. Belén Balado Margeli, C. Bicknell, C. Bouldin, G. Branduardi-Raymont, T. Crawford, J. P. Breuer, T. Buggey, G. Butcher, R. Canchal, J. A. Carter, A. Cheney, Y. Collado-Vega, H. Connor, N. Eaton, C. Feldman, C. Forsyth, T. Frantzen, G. Galgóczi, J. Garcia, G. Y. Genov, C. Gordillo, H-P. Gröbelbauer, M. Guedel, Y. Guo, M. Hailey, D. Hall, R. Hampson, J. Hasiba, O. Hetherington, A. Holland, S-Y. Hsieh, M. W. J. Hubbard, H. Jeszenszky, M. Jones, T. Kennedy, K. Koch-Mehrin, S. Kögl, S. Krucker, K. D. Kuntz, C. Lakin, G. Laky, O. Lylund, A. Martindale, J. Miguel Mas Hesse, R. Nakamura, K. Oksavik, N. Østgaard, H. Ottacher, R. Ottensamer, C. Pagani, S. Parsons, P. Patel, J. Pearson, G. Peikert, F. S. Porter, T. Pouliantis, B. H. Qureshi, W. Raab, G. Randall, A. M. Read, N. M. M. Roque, M. E. Rostad, C. Runciman, S. Sachdev, A. Samsonov, M. Soman, D. Sibeck, S. Smit, J. Søndergaard, R. Speight, S. Stavland, M. Steller, TianRan Sun, J. Thornhill, W. Thomas, K. Ullaland, B. Walsh, D. Walton, C. Wang, and S. Yang
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soft x-ray imaging ,micropore optics ,large area ccd ,Science ,Geophysics. Cosmic physics ,QC801-809 ,Environmental sciences ,GE1-350 - Abstract
The Soft X-ray Imager (SXI) is part of the scientific payload of the Solar wind Magnetosphere Ionosphere Link Explorer (SMILE) mission. SMILE is a joint science mission between the European Space Agency (ESA) and the Chinese Academy of Sciences (CAS) and is due for launch in 2025. SXI is a compact X-ray telescope with a wide field-of-view (FOV) capable of encompassing large portions of Earth’s magnetosphere from the vantage point of the SMILE orbit. SXI is sensitive to the soft X-rays produced by the Solar Wind Charge eXchange (SWCX) process produced when heavy ions of solar wind origin interact with neutral particles in Earth’s exosphere. SWCX provides a mechanism for boundary detection within the magnetosphere, such as the position of Earth’s magnetopause, because the solar wind heavy ions have a very low density in regions of closed magnetic field lines. The sensitivity of the SXI is such that it can potentially track movements of the magnetopause on timescales of a few minutes and the orbit of SMILE will enable such movements to be tracked for segments lasting many hours. SXI is led by the University of Leicester in the United Kingdom (UK) with collaborating organisations on hardware, software and science support within the UK, Europe, China and the United States.
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- 2024
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82. Eris: Measuring discord among multidimensional data sources
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Abello, Alberto and Cheney, James
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Computer Science - Databases ,68P15 ,H.2.4 - Abstract
Data integration is a classical problem in databases, typically decomposed into schema matching, entity matching and data fusion. To solve the latter, it is mostly assumed that ground truth can be determined. However, in general, the data gathering processes in the different sources are imperfect and cannot provide an accurate merging of values. Thus, in the absence of ways to determine ground truth, it is important to at least quantify how far from being internally consistent a dataset is. Hence, we propose definitions of concordant data and define a discordance metric as a way of measuring disagreement to improve decision making based on trustworthiness. We define the discord measurement problem of numerical attributes in which given a set of uncertain raw observations or aggregate results (such as case/hospitalization/death data relevant to COVID-19) and information on the alignment of different conceptualizations of the same reality (e.g., granularities or units), we wish to assess whether the different sources are concordant, or if not, use the discordance metric to quantify how discordant they are. We also define a set of algebraic operators to describe the alignments of different data sources with correctness guarantees, together with two alternative relational database implementations that reduce the problem to linear or quadratic programming. These are evaluated against both COVID-19 and synthetic data, and our experimental results show that discordance measurement can be performed efficiently in realistic situations., Comment: 33 pages, 15 figures
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- 2022
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83. A Learning Community Supporting Experiential Education to Learn About Healthcare Equity Quality Improvement
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Cheney-Peters, Dianna, Liveright, Elizabeth, Shusted, Christine, Sinnott, Jacqueline F, Diemer, Gretchen, and Jaffe, Rebecca
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- 2023
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84. Review of Thomas Irvine. 2021. Listening to China: Sound and the Sino-Western Encounter, 1770–1839 (Chicago: University of Chicago Press)
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Samuel Cheney
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Music ,M1-5000 - Abstract
This essay reviews Thomas Irvine’s 2021 book “Listening to China: Sound and the Sino-Western Encounter, 1770–1839”. The author highlights the central tenets of Irvine’s work (published by the University of Chicago Press), and considers its implications for histories of Sino-Western cultural exchange more broadly.
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- 2023
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85. Increased Risk for Clinically Significant Sleep Disturbances in Mild Traumatic Brain Injury: An Approach to Leveraging the Federal Interagency Traumatic Brain Injury Research Database
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Maya E. O’Neil, Danielle Krushnic, William C. Walker, David Cameron, William Baker-Robinson, Sara Hannon, Kate Clauss, Tamara P. Cheney, Lawrence J. Cook, Meike Niederhausen, Josh Kaplan, Miranda Pappas, and Aaron M. Martin
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traumatic brain injury ,sleep disturbance ,insomnia ,evidence synthesis ,data repository ,meta-data ,Neurosciences. Biological psychiatry. Neuropsychiatry ,RC321-571 - Abstract
Study Objectives: The Federal Interagency Traumatic Brain Injury Research (FITBIR) Informatics System contains individual-patient-level traumatic brain injury (TBI) data, which when combined, allows for the examination of rates and outcomes for key subpopulations at risk for developing sleep disturbance. Methods: This proof-of-concept study creates a model system for harmonizing data (i.e., combining and standardizing data) across FITBIR studies for participants with and without a history of TBI to estimate rates of sleep disturbance and identify risk factors. Results: Three studies were eligible for harmonization (N = 1753). Sleep disturbance was common among those with a history of mild TBI (63%). Individuals with mild TBI were two to four times more likely to have sleep disturbance compared to those with no history of TBI. Conclusions: This study established methods, harmonization code, and meta-databases that are publicly available on the FITBIR website. We demonstrated how the harmonization of FITBIR studies can answer TBI research questions, showing that associations between TBI and sleep disturbance may be influenced by demographic factors.
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- 2024
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86. Reverse-cyclic performance of United States prescriptive code connectors in a novel mass timber structural composite panel
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Morrell, Ian, Sinha, Arijit, Cheney, Daniel, Taylor, Robert, Potter, Frank, Way, Daniel, and Deboodt, Tyler
- Published
- 2024
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87. Managers' and Leaders’ Perceptions of Sexual and Gender-Based Public Harassment in the Veterans Health Administration
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Cannedy, Shay, Dyer, Karen E, Oishi, Anneka, Fenwick, Karissa M, Olmos-Ochoa, Tanya T, Luger, Tana M, Gideonse, Theodore K, Cheney, Ann M, Canelo, Ismelda, Yano, Elizabeth M, and Hamilton, Alison B
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Health Services and Systems ,Health Sciences ,Human Society ,Health and social care services research ,8.1 Organisation and delivery of services ,Gender Equality ,Quality Education ,Female ,Humans ,Leadership ,Male ,Military Personnel ,Prevalence ,Sexual Harassment ,Veterans Health ,Paediatrics and Reproductive Medicine ,Public Health and Health Services ,Public Health ,Midwifery ,Public health ,Policy and administration - Abstract
PurposeManagers and leaders have a critical role to play in sexual and gender-based harassment prevention within organizations. Although the Veterans Health Administration has committed to eliminating harassment through national directives and training programs, it is unclear how aware local-level managers and leaders are about public harassment at their facilities and how they perceive sexual and gender-based harassment. We examined middle managers' and leaders' views about whether harassment is perceived as a problem locally, and what policies and procedures (if any) are in place to address public harassment.MethodsWe conducted 69 semistructured telephone interviews with middle managers and facility leaders before implementation of an evidence-based quality improvement project designed to improve delivery of comprehensive women's health care. Transcripts were coded using the constant comparative method and analyzed for overarching themes.ResultsPerceptions of the prevalence of sexual and gender-based public harassment varied among middle managers and leaders. A little more than one-half of respondents were unaware of facility-level policies and procedures to address public harassment between patients. To decrease patient-to-patient harassment, both groups generally supported the creation of separate clinical spaces for women. However, middle managers also stated that education was needed to change patient harassing behavior, which they tied to male military culture.ConclusionsAligning divergent perspectives of what constitutes sexual and gender-based harassment and how to address it is a necessary step towards tackling harassment at the local level. Managers and leaders should continue to assess environments of care and share findings widely among employees and leadership to improve awareness and inform a unified response.
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- 2022
88. Translating cell therapies for neurodegenerative diseases: Huntington’s disease as a model disorder
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Rosser, Anne E, members, on behalf of SC4HD, Busse, Monica E, Gray, William P, Badin, Romina Aron, Perrier, Anselme L, Wheelock, Vicki, Cozzi, Emanuele, Martin, Unai Perpiña, Salado-Manzano, Cristina, Mills, Laura J, Drew, Cheney, Goldman, Steven A, Canals, Josep M, and Thompson, Leslie M
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Huntington's Disease ,Orphan Drug ,Genetics ,Brain Disorders ,Regenerative Medicine ,Rare Diseases ,Neurodegenerative ,Biotechnology ,Neurosciences ,Development of treatments and therapeutic interventions ,5.2 Cellular and gene therapies ,Neurological ,Animals ,Brain ,Cell- and Tissue-Based Therapy ,Humans ,Huntington Disease ,Neurodegenerative Diseases ,cell therapy ,stem cells ,clinical translation ,neurodegeneration ,Huntington's ,Huntington’s disease ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Neurology & Neurosurgery - Abstract
There has been substantial progress in the development of regenerative medicine strategies for CNS disorders over the last decade, with progression to early clinical studies for some conditions. However, there are multiple challenges along the translational pipeline, many of which are common across diseases and pertinent to multiple donor cell types. These include defining the point at which the preclinical data are sufficiently compelling to permit progression to the first clinical studies; scaling-up, characterization, quality control and validation of the cell product; design, validation and approval of the surgical device; and operative procedures for safe and effective delivery of cell product to the brain. Furthermore, clinical trials that incorporate principles of efficient design and disease-specific outcomes are urgently needed (particularly for those undertaken in rare diseases, where relatively small cohorts are an additional limiting factor), and all processes must be adaptable in a dynamic regulatory environment. Here we set out the challenges associated with the clinical translation of cell therapy, using Huntington's disease as a specific example, and suggest potential strategies to address these challenges. Huntington's disease presents a clear unmet need, but, importantly, it is an autosomal dominant condition with a readily available gene test, full genetic penetrance and a wide range of associated animal models, which together mean that it is a powerful condition in which to develop principles and test experimental therapeutics. We propose that solving these challenges in Huntington's disease would provide a road map for many other neurological conditions. This white paper represents a consensus opinion emerging from a series of meetings of the international translational platforms Stem Cells for Huntington's Disease and the European Huntington's Disease Network Advanced Therapies Working Group, established to identify the challenges of cell therapy, share experience, develop guidance and highlight future directions, with the aim to expedite progress towards therapies for clinical benefit in Huntington's disease.
- Published
- 2022
89. Towards Multi-Morphology Controllers with Diversity and Knowledge Distillation.
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Alican Mertan and Nick Cheney
- Published
- 2024
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90. Midwives’ and registered nurses’ role and scope of practice in acute early pregnancy care services: a scoping review
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Freeman, Nicole, Warland, Jane, Cheney, Kate, and Bradfield, Zoe
- Published
- 2024
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91. One Down, 699 to Go: or, synthesising compositional desugarings
- Author
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Bartha, Sándor, Cheney, James, and Belle, Vaishak
- Subjects
Computer Science - Programming Languages - Abstract
Programming or scripting languages used in real-world systems are seldom designed with a formal semantics in mind from the outset. Therefore, developing well-founded analysis tools for these systems requires reverse-engineering a formal semantics as a first step. This can take months or years of effort. Can we (at least partially) automate this process? Though desirable, automatically reverse-engineering semantics rules from an implementation is very challenging, as found by Krishnamurthi et al. [2019]. In this paper, we highlight that scaling methods with the size of the language is very difficult due to state space explosion, so we propose to learn semantics incrementally. We give a formalisation of Krishnamurthi et al.'s desugaring learning framework in order to clarify the assumptions necessary for an incremental learning algorithm to be feasible. We show that this reformulation allows us to extend the search space and express rules that Krishnamurthi et al. described as challenging, while still retaining feasibility. We evaluate enumerative synthesis as a baseline algorithm, and demonstrate that, with our reformulation of the problem, it is possible to learn correct desugaring rules for the example source and core languages proposed by Krishnamurthi et al., in most cases identical to the intended rules. In addition, with user guidance, our system was able to synthesize rules for desugaring list comprehensions and try/catch/finally constructs., Comment: To appear, PACM:PL(OOPSLA) 2021
- Published
- 2021
92. Development and characterization of monoclonal antibodies recognizing nucleocapsid protein of multiple SARS-CoV-2 variants
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Qiu, Hongyu, Yuan, Xin-Yong, Holloway, Kimberly, Wood, Heidi, Cabral, Teresa, Grant, Chris, McQueen, Peter, Westmacott, Garrett, Beniac, Daniel R., Lin, Lisa, Carpenter, Michael, Kobasa, Darwyn, Gräfenhan, Tom, and Cheney, Ian Wayne
- Published
- 2024
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93. The Impact of Standard vs Early Apical Release Holmium Laser Enucleation of the Prostate Technique on Postoperative Incontinence and Quality of Life
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Heidenberg, Daniel J., Choudry, Mouneeb M., Wymer, Kevin, Stagg, Jeffrey, Parker, Nicholas, Campagna, Justin, Narang, Gopal, Humphreys, Mitchell R., and Cheney, Scott M.
- Published
- 2024
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94. Efficacy and implementation of exercise-based smoking cessation treatment for adults with high anxiety sensitivity (STEP): Study protocol for a randomized controlled trial
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Smits, Jasper A.J., Zvolensky, Michael J., Cheney, Marshall K., Rosenfield, David, Brown, Richard A., Manser, Stacy Stevens, Otto, Michael W., Freeman, Slaton Z., Sarmiento, Marla I., and Thureen, Sydney E.
- Published
- 2024
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95. The association of payer type on genicular radiofrequency neurotomy treatment outcomes: Results of a cross-sectional study
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Braun, Samantha, Mascoe, Jason, Caragea, Marc, Woodworth, Tyler, Curtis, Tim, Blatt, Michael, Cheney, Cole, Brown, Todd, Carson, Daniel, Kuo, Keith, Randall, Dustin, Huang, Emily Y., Carefoot, Andrea, Teramoto, Masaru, Cooper, Amanda, Mills, Megan, Burnham, Taylor, Conger, Aaron, and McCormick, Zachary L.
- Published
- 2024
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96. A quantum chemical interaction energy dataset for accurately modeling protein-ligand interactions
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Spronk, Steven A., Glick, Zachary L., Metcalf, Derek P., Sherrill, C. David, and Cheney, Daniel L.
- Published
- 2023
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97. Gut microbiome dysbiosis drives metabolic dysfunction in Familial dysautonomia
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Cheney, Alexandra M., Costello, Stephanann M., Pinkham, Nicholas V., Waldum, Annie, Broadaway, Susan C., Cotrina-Vidal, Maria, Mergy, Marc, Tripet, Brian, Kominsky, Douglas J., Grifka-Walk, Heather M., Kaufmann, Horacio, Norcliffe-Kaufmann, Lucy, Peach, Jesse T., Bothner, Brian, Lefcort, Frances, Copié, Valérie, and Walk, Seth T.
- Published
- 2023
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98. Conservative management of cerebrospinal fluid shunt infections
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Loeser John, Shurtleff David, Duguay Sharon, Avellino Anthony, and Cheney Amy
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Neurology. Diseases of the nervous system ,RC346-429 - Published
- 2007
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99. Optically-generated Overhauser dynamic nuclear polarization
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Cheney, Daniel, Wedge, Chris, and Elliott, Paul
- Subjects
Nuclear ,magnetic ,resonance - Abstract
Nuclear magnetic resonance (NMR) is one of the most powerful analytical techniques currently in use, but it suffers from inherently low sensitivity. The sensitivity can be improved using dynamic nuclear polarization (DNP), and involves the transfer of magnetization from electron spins of a radical to nuclear spins. Although it is typically a microwave-driven technique, an alternative approach has recently been introduced, which instead uses visible light. A dye is added to the sample alongside the radical, and is photoexcited to the triplet state. The triplet is quenched by the radical, which induces electron spin polarization in the latter due to the radical-triplet pair mechanism (RTPM). This polarization is transferred to nuclear spins via cross-relaxation. This thesis discusses the development of this technique beyond its initial proof-of-concept study. For the first time, theoretical models are used to rationalize previous experimental data, and to aid in the optimization of experimental parameters, such as the laser power, dye concentration, sample volume, magnetic field, and viscosity. Most notably, it is predicted that enhancements should greatly increase if the sample volume is decreased, owing to the larger triplet concentration that can be generated with a higher photon density. This prediction is experimentally verified to be the case, which has significant implications for NMR studies of volume-limited samples. The scope of the simulations is then expanded to other systems, including 13C DNP of organic solvents, and the use of tethered chromophore-radical polarizing agents, where electron hyperpolarization is driven by the reversed quartet mechanism (RQM). It is also demonstrated theoretically that TR-EPR could be used to rapidly screen potential polarizing agents. An extensive numerical study of pulsed illumination is carried out in order to determine the optimum pulse length and duty cycle while allowing for sufficient sample cooling between pulses in order to reduce heating effects. Finally, a combination of the optical DNP method with a shuttle set-up is presented, allowing for polarization of the sample at low magnetic field before transfer to higher fields for detection. This has enabled for the rst time the detection of optically-polarized NMR spectra of dissolved amino acids, measurement of glycerol enhancements, and a study into the magnetic field dependence of the optical DNP effect.
- Published
- 2022
100. Protocol for designing and evaluating an undergraduate public health course on sexual and reproductive health at a public university in California
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Jennifer A. Wagman, Victoria Gresbach, Samantha Cheney, Mark Kayser, and Paul Kimball
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Comprehensive sexuality education ,Sexual health education ,Sexual health ,Reproductive health ,Consent ,Higher education ,Science (General) ,Q1-390 ,Social sciences (General) ,H1-99 - Abstract
Introduction: Comprehensive sexuality education (CSE) is associated with positive sexual and reproductive health (SRH) outcomes, including increased contraceptive use, lower rates of unintended pregnancy and prevention of sexual violence. However, implementation of and requirements for CSE vary across the United States which can negatively impact students, both during and beyond high school, including among college students. Methods: and Analysis: This paper describes the research protocol for a multi-staged approach for designing, implementing and evaluating an SRH course for up to 60 undergraduate students at a public university in California. Before the class is offered, we will conduct 20 in-depth interviews with current students, educators and course design experts to learn from their experiences and seek their guidance on course design. To evaluate the course, enrolled students will complete a pre-course and a post-course survey before and after class is taught, to assess students’ attitudes and values relevant to educational concepts and the format and delivery of the course and its modules and activities. Approximately 20 students will take part in an in-depth exit interview, after completing the course, to gather perceptions about how the course impacted their knowledge and behavior. The goal is to refine materials for future in-person course offerings and develop a prototype for a fully online version of the course. Discussion: This study introduces a novel university-level course to provide young adult students comprehensive, evidence-based education on sexual and reproductive health from a public health perspective. The program leverages existing CSE efforts, enhancing them with academic rigor, inclusive content and digital inclusion. This approach, inclusive of diverse sexual orientations, content on pleasure and sexual violence prevention, aims to fill existing gaps in university curricula and also set a new standard in CSE. The project's innovative and multidisciplinary design offers a model for broader impact within a large public university system and beyond.
- Published
- 2024
- Full Text
- View/download PDF
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