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  1. Article ; Online: The COVID-19 Army: Experiences From the Deployment of Non-Hospitalist Physician Volunteers During the COVID-19 Pandemic.

    Hauck, Kevin D / Hochman, Katherine A / Pochapin, Mark B / Zabar, Sondra R / Wilhite, Jeffrey A / Glynn, Gretchen / Bosworth, Brian P

    Disaster medicine and public health preparedness

    2021  , Page(s) 1–5

    Abstract: Objective: New York City was the epicenter of the outbreak of the 2019 coronavirus disease (COVID-19) pandemic in the United States. As a large, quaternary care medical center, NYU Langone Medical Center was one of many New York medical centers that ... ...

    Abstract Objective: New York City was the epicenter of the outbreak of the 2019 coronavirus disease (COVID-19) pandemic in the United States. As a large, quaternary care medical center, NYU Langone Medical Center was one of many New York medical centers that experienced an unprecedented influx of patients during this time. Clinical leadership effectively identified, oriented, and rapidly deployed a "COVID Army," consisting of non-hospitalist physicians, to meet the needs of the patient influx. We share feedback from our providers on our processes and offer specific recommendations for systems experiencing a similar influx in the current and future pandemics.
    Methods: To assess the experiences and perceived readiness of these physicians (n = 183), we distributed a 32-item survey between March and June of 2020. Thematic analyses and response rates were examined to develop results.
    Results: Responses highlighted varying experiences and attitudes of our frontline physicians during an emerging pandemic. Thematic analyses revealed a series of lessons learned, including the need to (1) provide orientations, (2) clarify roles/workflow, (3) balance team workload, (4) keep teams updated on evolving policies, (5) make team members feel valued, and (6) ensure they have necessary tools available.
    Conclusions: Lessons from our deployment and assessment are scalable at other institutions.
    Language English
    Publishing date 2021-04-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2375268-3
    ISSN 1938-744X ; 1935-7893
    ISSN (online) 1938-744X
    ISSN 1935-7893
    DOI 10.1017/dmp.2021.109
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Research Note: Role of darkling beetles (Alphitobius diaperinus) and litter in spreading and maintaining Salmonella Enteritidis and Campylobacter jejuni in chicken flocks.

    Barua, Subarna / Bailey, Matthew / Zhong, Kevin / Iduu, Nneka / Dormitorio, Teresa / Macklin, Kenneth / Bourassa, Dianna / Price, Stuart / Hauck, Ruediger / Krehling, James / Kitchens, Steven / Kyriakis, Constantinos / Buhr, R Jeff / Wang, Chengming

    Poultry science

    2023  Volume 102, Issue 11, Page(s) 103061

    Abstract: Salmonella and Campylobacter are common foodborne pathogens in chickens, but their persistence mechanisms within flocks are not fully understood. In this study, 4 groups of SPF Leghorn chickens (n = 50) were orally inoculated with ... ...

    Abstract Salmonella and Campylobacter are common foodborne pathogens in chickens, but their persistence mechanisms within flocks are not fully understood. In this study, 4 groups of SPF Leghorn chickens (n = 50) were orally inoculated with 10
    Language English
    Publishing date 2023-08-28
    Publishing country England
    Document type Journal Article
    ZDB-ID 242586-5
    ISSN 1525-3171 ; 0032-5791
    ISSN (online) 1525-3171
    ISSN 0032-5791
    DOI 10.1016/j.psj.2023.103061
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Peer to Peer observation: real-world faculty development.

    Shapiro, Neil / Janjigian, Michael / Schaye, Verity / Hauck, Kevin / Becker, Daniel / Lusk, Penelope / Dembitzer, Anne

    Medical education

    2019  Volume 53, Issue 5, Page(s) 513–514

    MeSH term(s) Education, Medical ; Faculty, Medical ; Feedback ; Humans ; Peer Group ; Staff Development
    Language English
    Publishing date 2019-04-16
    Publishing country England
    Document type Journal Article
    ZDB-ID 195274-2
    ISSN 1365-2923 ; 0308-0110
    ISSN (online) 1365-2923
    ISSN 0308-0110
    DOI 10.1111/medu.13865
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Epigenomic State Transitions Characterize Tumor Progression in Mouse Lung Adenocarcinoma.

    LaFave, Lindsay M / Kartha, Vinay K / Ma, Sai / Meli, Kevin / Del Priore, Isabella / Lareau, Caleb / Naranjo, Santiago / Westcott, Peter M K / Duarte, Fabiana M / Sankar, Venkat / Chiang, Zachary / Brack, Alison / Law, Travis / Hauck, Haley / Okimoto, Annalisa / Regev, Aviv / Buenrostro, Jason D / Jacks, Tyler

    Cancer cell

    2020  Volume 38, Issue 2, Page(s) 212–228.e13

    Abstract: Regulatory networks that maintain functional, differentiated cell states are often dysregulated in tumor development. Here, we use single-cell epigenomics to profile chromatin state transitions in a mouse model of lung adenocarcinoma (LUAD). We identify ... ...

    Abstract Regulatory networks that maintain functional, differentiated cell states are often dysregulated in tumor development. Here, we use single-cell epigenomics to profile chromatin state transitions in a mouse model of lung adenocarcinoma (LUAD). We identify an epigenomic continuum representing loss of cellular identity and progression toward a metastatic state. We define co-accessible regulatory programs and infer key activating and repressive chromatin regulators of these cell states. Among these co-accessibility programs, we identify a pre-metastatic transition, characterized by activation of RUNX transcription factors, which mediates extracellular matrix remodeling to promote metastasis and is predictive of survival across human LUAD patients. Together, these results demonstrate the power of single-cell epigenomics to identify regulatory programs to uncover mechanisms and key biomarkers of tumor progression.
    MeSH term(s) Adenocarcinoma/genetics ; Adenocarcinoma/metabolism ; Adenocarcinoma/pathology ; Animals ; Cell Line, Tumor ; Disease Models, Animal ; Disease Progression ; Epigenomics/methods ; Gene Expression Profiling/methods ; Gene Expression Regulation, Neoplastic ; Humans ; Lung Neoplasms/genetics ; Lung Neoplasms/metabolism ; Lung Neoplasms/pathology ; Mice, Inbred C57BL ; Mice, Knockout ; Mice, Transgenic ; Signal Transduction/genetics ; Single-Cell Analysis/methods
    Language English
    Publishing date 2020-07-23
    Publishing country United States
    Document type Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2078448-X
    ISSN 1878-3686 ; 1535-6108
    ISSN (online) 1878-3686
    ISSN 1535-6108
    DOI 10.1016/j.ccell.2020.06.006
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Collaborating Across Private, Public, Community, and Federal Hospital Systems: Lessons Learned from the Covid-19 Pandemic Response in NYC

    Schaye, Verity E. / Reich, Jenna A. / Bosworth, Brian P. / Stern, David T. / Volpicelli, Frank / Shapiro, Neil M. / Hauck, Kevin D. / Fagan, Ian M. / Villagomez, Seagram M. / Uppal, Amit / Sauthoff, Harald / LoCurcio, Michael / Cocks, Patrick M. / Bails, Douglas B.

    NEJM Catal Innov Care Deliv

    Abstract: Despite the variation in organizational and financial structures, the four hospital systems were able to collaborate during the crisis, with particular focus on communication, surge capacity (beds, staff, and triage), clinical care, and staff wellness. ...

    Abstract Despite the variation in organizational and financial structures, the four hospital systems were able to collaborate during the crisis, with particular focus on communication, surge capacity (beds, staff, and triage), clinical care, and staff wellness.
    Keywords covid19
    Publisher PMC
    Document type Article ; Online
    DOI 10.1056/cat.20.0343
    Database COVID19

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  6. Article ; Online: A workshop to train medicine faculty to teach clinical reasoning.

    Schaye, Verity / Janjigian, Michael / Hauck, Kevin / Shapiro, Neil / Becker, Daniel / Lusk, Penelope / Hardowar, Khemraj / Zabar, Sondra / Dembitzer, Anne

    Diagnosis (Berlin, Germany)

    2019  Volume 6, Issue 2, Page(s) 109–113

    Abstract: Background Clinical reasoning (CR) is a core competency in medical education. Few studies have examined efforts to train faculty to teach CR and lead CR curricula in medical schools and residencies. In this report, we describe the development and ... ...

    Abstract Background Clinical reasoning (CR) is a core competency in medical education. Few studies have examined efforts to train faculty to teach CR and lead CR curricula in medical schools and residencies. In this report, we describe the development and preliminary evaluation of a faculty development workshop to teach CR grounded in CR theory. Methods Twenty-six medicine faculty (nine hospitalists and 17 subspecialists) participated in a workshop that introduced a framework to teach CR using an interactive, case-based didactic followed by role-play exercises. Faculty participated in pre- and post-Group Observed Structured Teaching Exercises (GOSTE), completed retrospective pre-post assessments (RPPs), and made commitment to change statements (CTCs). Results In the post-GOSTE, participants significantly improved in their use of problem representation and illness scripts to teach CR. RPPs revealed that faculty were more confident in their ability and more likely to teach CR using educational strategies grounded in CR educational theory. At 2-month follow-up, 81% of participants reported partially implementing these teaching techniques. Conclusions After participating in this 3-h workshop, faculty demonstrated increased ability to use these teaching techniques and expressed greater confidence and an increased likelihood to teach CR. The majority of faculty reported implementing these newly learned educational strategies into practice.
    MeSH term(s) Clinical Decision-Making ; Education, Medical ; Faculty, Medical ; Humans ; Medicine ; Quality Improvement ; Retrospective Studies ; Role Playing ; Staff Development
    Language English
    Publishing date 2019-03-05
    Publishing country Germany
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2194-802X
    ISSN (online) 2194-802X
    DOI 10.1515/dx-2018-0059
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Book ; Online: Physics Community Needs, Tools, and Resources for Machine Learning

    Harris, Philip / Katsavounidis, Erik / McCormack, William Patrick / Rankin, Dylan / Feng, Yongbin / Gandrakota, Abhijith / Herwig, Christian / Holzman, Burt / Pedro, Kevin / Tran, Nhan / Yang, Tingjun / Ngadiuba, Jennifer / Coughlin, Michael / Hauck, Scott / Hsu, Shih-Chieh / Khoda, Elham E / Chen, Deming / Neubauer, Mark / Duarte, Javier /
    Karagiorgi, Georgia / Liu, Mia

    2022  

    Abstract: Machine learning (ML) is becoming an increasingly important component of cutting-edge physics research, but its computational requirements present significant challenges. In this white paper, we discuss the needs of the physics community regarding ML ... ...

    Abstract Machine learning (ML) is becoming an increasingly important component of cutting-edge physics research, but its computational requirements present significant challenges. In this white paper, we discuss the needs of the physics community regarding ML across latency and throughput regimes, the tools and resources that offer the possibility of addressing these needs, and how these can be best utilized and accessed in the coming years.

    Comment: Contribution to Snowmass 2021, 33 pages, 5 figures
    Keywords Computer Science - Machine Learning ; General Relativity and Quantum Cosmology ; High Energy Physics - Experiment ; Physics - Instrumentation and Detectors
    Publishing date 2022-03-30
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Online: GPU coprocessors as a service for deep learning inference in high energy physics

    Krupa, Jeffrey / Lin, Kelvin / Flechas, Maria Acosta / Dinsmore, Jack / Duarte, Javier / Harris, Philip / Hauck, Scott / Holzman, Burt / Hsu, Shih-Chieh / Klijnsma, Thomas / Liu, Mia / Pedro, Kevin / Rankin, Dylan / Suaysom, Natchanon / Trahms, Matt / Tran, Nhan

    2020  

    Abstract: In the next decade, the demands for computing in large scientific experiments are expected to grow tremendously. During the same time period, CPU performance increases will be limited. At the CERN Large Hadron Collider (LHC), these two issues will ... ...

    Abstract In the next decade, the demands for computing in large scientific experiments are expected to grow tremendously. During the same time period, CPU performance increases will be limited. At the CERN Large Hadron Collider (LHC), these two issues will confront one another as the collider is upgraded for high luminosity running. Alternative processors such as graphics processing units (GPUs) can resolve this confrontation provided that algorithms can be sufficiently accelerated. In many cases, algorithmic speedups are found to be largest through the adoption of deep learning algorithms. We present a comprehensive exploration of the use of GPU-based hardware acceleration for deep learning inference within the data reconstruction workflow of high energy physics. We present several realistic examples and discuss a strategy for the seamless integration of coprocessors so that the LHC can maintain, if not exceed, its current performance throughout its running.

    Comment: 26 pages, 7 figures, 2 tables
    Keywords Physics - Computational Physics ; Computer Science - Distributed ; Parallel ; and Cluster Computing ; High Energy Physics - Experiment ; Physics - Data Analysis ; Statistics and Probability ; Physics - Instrumentation and Detectors
    Publishing date 2020-07-20
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Anatomy of and lessons learned from a Canadian national-scale radiological exercise: ExIT-08.

    Kramer, Gary H / Beaton, Dana / Tenney, Aleisha / Hauck, Barry / Capello, Kevin / Quayle, Deborah

    Health physics

    2009  Volume 96, Issue 5 Suppl 2, Page(s) S55–63

    Abstract: Exercise Initial Thunder (ExIT-08) was the fourth in a series of four emergency response exercises sponsored by the Chemical, Biological, Radiological, Nuclear and Explosives Research and Technology Initiative (CRTI). It was designed to test the Canadian ...

    Abstract Exercise Initial Thunder (ExIT-08) was the fourth in a series of four emergency response exercises sponsored by the Chemical, Biological, Radiological, Nuclear and Explosives Research and Technology Initiative (CRTI). It was designed to test the Canadian Federal, Provincial and Municipal response to a terrorist attack using radioactive materials. The complexity of this exercise had been increased over previous exercises to now include provincial and municipal players. As a result about 350 persons participated as players in the 4-day exercise that was held in two locations in the western part of Canada. This paper summarizes the experiences and the lessons learned of the Health Canada (HC) team.
    MeSH term(s) Canada ; Decontamination/methods ; Disaster Planning ; Emergencies ; Radiation Monitoring/methods ; Radiation Protection ; Radioactive Hazard Release ; Terrorism
    Language English
    Publishing date 2009-05
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2406-5
    ISSN 1538-5159 ; 0017-9078
    ISSN (online) 1538-5159
    ISSN 0017-9078
    DOI 10.1097/01.HP.0000339002.01323.24
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: A field deployable high-resolution urine gamma analyzer.

    Kramer, Gary H / Hauck, Barry M / Capello, Kevin

    Health physics

    2008  Volume 95, Issue 4, Page(s) 440–444

    Abstract: ... Assuming an intake 5 d before the measurement, and all other parameters as default, the committed effective ...

    Abstract The Human Monitoring Laboratory has extended the use of its portable whole body counters to portable gamma spectrometers for urinalysis. The protocol tested measured a 120-mL sample in a polypropylene sample container for 5 min. Minimum detectable activities were estimated for 241Am, 57Co, 137Cs, and 60Co. The former is 113 Bq per sample, and the latter three are between 27-29 Bq per sample. Assuming an intake 5 d before the measurement, and all other parameters as default, the committed effective doses are 517 Sv, 76 muSv, 402 muSv, and 1.5 mSv, respectively. Clearly, this instrument can be used as a field deployable gamma spectrometer for urinalysis for activation and fission products, but actinides (and other low energy photon emitters) remain problematic.
    MeSH term(s) Americium/urine ; Cesium Radioisotopes/urine ; Cobalt Radioisotopes/urine ; Humans ; Photons ; Radiation Monitoring/instrumentation ; Radiation Monitoring/methods ; Reproducibility of Results ; Sensitivity and Specificity ; Spectrometry, Gamma/instrumentation ; Spectrometry, Gamma/methods ; Urinalysis/instrumentation ; Urinalysis/methods ; Urine/chemistry ; Whole-Body Counting
    Chemical Substances Cesium Radioisotopes ; Cobalt Radioisotopes ; Americium (VW92PHU2UY)
    Language English
    Publishing date 2008-10
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2406-5
    ISSN 1538-5159 ; 0017-9078
    ISSN (online) 1538-5159
    ISSN 0017-9078
    DOI 10.1097/01.HP.0000319910.67078.17
    Database MEDical Literature Analysis and Retrieval System OnLINE

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