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  1. Article ; Online: Direct Democracy and the Fate of Medicaid Expansion.

    Rocco, Philip

    JAMA health forum

    2020  Volume 1, Issue 8, Page(s) e200934

    Language English
    Publishing date 2020-08-03
    Publishing country United States
    Document type Journal Article
    ISSN 2689-0186
    ISSN (online) 2689-0186
    DOI 10.1001/jamahealthforum.2020.0934
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Book ; Online: The fragmentation of federal expertise has enabled the politicisation of Covid-19 numbers in the USA

    Rocco, Philip

    2020  

    Abstract: ... research around the spread of the pandemic and the amount of equipment needed to tackle it. Philip Rocco ...

    Abstract As in any emergency or disaster, institutional agreement over the statistics of the Covid-19 pandemic is incredibly important. During the crisis, President Trump has questioned federally requested research around the spread of the pandemic and the amount of equipment needed to tackle it. Philip Rocco writes on how Trump's efforts to undermine a common understanding of . Continued
    Keywords HV Social pathology. Social and public welfare. Criminology ; RA0421 Public health. Hygiene. Preventive Medicine ; JK Political institutions (United States) ; covid19
    Language English
    Publishing date 2020-04-14
    Publisher London School of Economics and Political Science
    Publishing country uk
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Book ; Online: Trump's fight over Covid-19 numbers shows how the hollowing out of expertise can be dangerous for American democracy

    Rocco, Philip

    2020  

    Abstract: ... research around the spread of the pandemic and the amount of equipment needed to tackle it. Philip Rocco ...

    Abstract As in any emergency or disaster, institutional agreement over the statistics of the Covid-19 pandemic is incredibly important. During the crisis, President Trump has questioned federally requested research around the spread of the pandemic and the amount of equipment needed to tackle it. Philip Rocco writes on how Trump’s efforts to undermine a common understanding of the numbers around the crisis can be a threat to democracy itself.
    Keywords JK Political institutions (United States) ; HV Social pathology. Social and public welfare. Criminology ; RA0421 Public health. Hygiene. Preventive Medicine ; covid19
    Language English
    Publishing date 2020-04-06
    Publisher London School of Economics and Political Science
    Publishing country uk
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: Informal Caregiving and the Politics of Policy Drift in the United States.

    Rocco, Philip

    Journal of aging & social policy

    2017  Volume 29, Issue 5, Page(s) 413–432

    Abstract: Informal caregivers play an increasingly important role in caring for aging Americans. Yet existing social policies that could support informal caregiving have experienced "policy drift," a failure to adapt to social risks that develop after policies are ...

    Abstract Informal caregivers play an increasingly important role in caring for aging Americans. Yet existing social policies that could support informal caregiving have experienced "policy drift," a failure to adapt to social risks that develop after policies are initially enacted. This article examines policy makers' success at updating seven major policies to address caregiver needs. It draws on an original data set of legislation in this area introduced between 1991 and 2006 (n = 96). Findings indicate that drift is more likely when policy updates are costly, lack support from members of majority parties in the House and Senate, and fail to generate bipartisan support.
    Language English
    Publishing date 2017-10
    Publishing country England
    Document type Journal Article
    ISSN 1545-0821
    ISSN (online) 1545-0821
    DOI 10.1080/08959420.2017.1280748
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  5. Article ; Online: The Perils of Being Unhinged: On the Accuracy of Classifiers Minimizing a Noise-Robust Convex Loss.

    Long, Philip M / Servedio, Rocco A

    Neural computation

    2022  Volume 34, Issue 6, Page(s) 1488–1499

    Abstract: van Rooyen, Menon, and Williamson (2015) introduced a notion of convex loss functions being robust to random classification noise and established that the "unhinged" loss function is robust in this sense. In this letter, we study the accuracy of binary ... ...

    Abstract van Rooyen, Menon, and Williamson (2015) introduced a notion of convex loss functions being robust to random classification noise and established that the "unhinged" loss function is robust in this sense. In this letter, we study the accuracy of binary classifiers obtained by minimizing the unhinged loss and observe that even for simple linearly separable data distributions, minimizing the unhinged loss may only yield a binary classifier with accuracy no better than random guessing.
    MeSH term(s) Noise
    Language English
    Publishing date 2022-05-06
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1025692-1
    ISSN 1530-888X ; 0899-7667
    ISSN (online) 1530-888X
    ISSN 0899-7667
    DOI 10.1162/neco_a_01502
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    Zs.A 2914: Show issues Location:
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  6. Article: Fiscal Federalism and Economic Crises in the United States: Lessons from the COVID-19 Pandemic and Great Recession.

    López-Santana, Mariely / Rocco, Philip

    Publius

    2021  Volume 51, Issue 3, Page(s) 365–395

    Abstract: The architecture of fiscal federalism in the United States represents an obstacle for prompt and comprehensive policy responses to economic crises, especially by subnational levels of government. As both a public health and economic crisis, the COVID-19 ... ...

    Abstract The architecture of fiscal federalism in the United States represents an obstacle for prompt and comprehensive policy responses to economic crises, especially by subnational levels of government. As both a public health and economic crisis, the COVID-19 pandemic has put unique fiscal pressures on subnational governments. This article reviews the pandemic's fiscal effects on these governments, as well as the federal government's response. By comparing the response to the COVID-19 crisis during the Trump administration with the response to the Great Recession during the Obama administration, we show that while the speed and magnitude of federal aid was unprecedented in 2020, it was nevertheless conditional in nature and beset by familiar political and institutional obstacles. Despite major fiscal pressures, state revenues rebounded earlier than expected, in part due to the relaxation of public health measures and the collection of taxes from online transactions; yet, state resources remained strained throughout the year, especially in states reliant on the hospitality and the oil sectors. And while local property taxes were buoyed by a surging housing market, cities and counties were confronted with declining revenue from other sources and intense emergency spending needs. Thus, despite unprecedented levels of federal support for state and local governments, the legacies of "fend for yourself" federalism live on.
    Language English
    Publishing date 2021-06-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2067249-4
    ISSN 1747-7107 ; 0048-5950
    ISSN (online) 1747-7107
    ISSN 0048-5950
    DOI 10.1093/publius/pjab015
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  7. Article ; Online: Stress & strain in mechanically nonuniform alveoli using clinical input variables: a simple conceptual model.

    Marini, John J / Rocco, Patricia R M / Thornton, Lauren T / Crooke, Philip S

    Critical care (London, England)

    2024  Volume 28, Issue 1, Page(s) 141

    Abstract: Clinicians currently monitor pressure and volume at the airway opening, assuming that these observations relate closely to stresses and strains at the micro level. Indeed, this assumption forms the basis of current approaches to lung protective ... ...

    Abstract Clinicians currently monitor pressure and volume at the airway opening, assuming that these observations relate closely to stresses and strains at the micro level. Indeed, this assumption forms the basis of current approaches to lung protective ventilation. Nonetheless, although the airway pressure applied under static conditions may be the same everywhere in healthy lungs, the stresses within a mechanically non-uniform ARDS lung are not. Estimating actual tissue stresses and strains that occur in a mechanically non-uniform environment must account for factors beyond the measurements from the ventilator circuit of airway pressures, tidal volume, and total mechanical power. A first conceptual step for the clinician to better define the VILI hazard requires consideration of lung unit tension, stress focusing, and intracycle power concentration. With reasonable approximations, better understanding of the value and limitations of presently used general guidelines for lung protection may eventually be developed from clinical inputs measured by the caregiver. The primary purpose of the present thought exercise is to extend our published model of a uniform, spherical lung unit to characterize the amplifications of stress (tension) and strain (area change) that occur under static conditions at interface boundaries between a sphere's surface segments having differing compliances. Together with measurable ventilating power, these are incorporated into our perspective of VILI risk. This conceptual exercise brings to light how variables that are seldom considered by the clinician but are both recognizable and measurable might help gauge the hazard for VILI of applied pressure and power.
    MeSH term(s) Humans ; Pulmonary Alveoli/physiology ; Pulmonary Alveoli/physiopathology ; Respiratory Distress Syndrome/physiopathology ; Respiratory Distress Syndrome/therapy ; Stress, Mechanical ; Respiration, Artificial/methods ; Respiration, Artificial/adverse effects ; Models, Biological
    Language English
    Publishing date 2024-04-29
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2041406-7
    ISSN 1466-609X ; 1364-8535
    ISSN (online) 1466-609X
    ISSN 1364-8535
    DOI 10.1186/s13054-024-04918-y
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    In stock of ZB MED Cologne/Königswinter

    Zs.A 5517: Show issues Location:
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  8. Article ; Online: Scoring Functions for Protein-Ligand Binding Affinity Prediction using Structure-Based Deep Learning: A Review.

    Meli, Rocco / Morris, Garrett M / Biggin, Philip C

    Frontiers in bioinformatics

    2022  Volume 2

    Abstract: The rapid and ... ...

    Abstract The rapid and accurate
    Language English
    Publishing date 2022-10-01
    Publishing country Switzerland
    Document type Journal Article
    ISSN 2673-7647
    ISSN (online) 2673-7647
    DOI 10.3389/fbinf.2022.885983
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  9. Article: MAKING FEDERALISM WORK? THE POLITICS OF INTERGOVERNMENTAL COLLABORATION AND THE PPACA.

    Rocco, Philip

    Journal of health and human services administration

    2015  Volume 37, Issue 4, Page(s) 412–461

    Abstract: The Patient Protection and Affordable Care Act (PPACA) is a complex piece of legislation that requires a high level of collaboration between actors at multiple levels of government, federal and state, to successfully implement its provisions. However, ... ...

    Abstract The Patient Protection and Affordable Care Act (PPACA) is a complex piece of legislation that requires a high level of collaboration between actors at multiple levels of government, federal and state, to successfully implement its provisions. However, the polarized political environment in which the law was passed has created roadblocks for implementation, with Republican governors claiming that they will not negotiate with federal agencies over many of the law's key details. Though the decisions of governors and of state legislatures are critical for policy implementation, much of the effort will require administrators at multiple levels of government, and often with different preferences, to collaborate with one another to set policy priorities and oversee the operation of key features of the law. This paper reports on the results of a recent in-depth survey of state-level administrators that examines the extent of state-federal collaboration to implement health reform. Using qualitative and quantitative indicators, I find that state administrators' engagement in collaborative activity is generally robust. Even so, state administrators' perceptions of their relationship with federal agents appear to vary by the partisan compositions of their respective states, suggesting that political conflict over the reform may pose some dilemmas for future implementation efforts.
    MeSH term(s) Cooperative Behavior ; Patient Protection and Affordable Care Act/legislation & jurisprudence ; Politics ; United States
    Language English
    Publishing date 2015
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1223296-8
    ISSN 2168-5509 ; 1079-3739 ; 0160-4198
    ISSN (online) 2168-5509
    ISSN 1079-3739 ; 0160-4198
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  10. Article ; Online: Scoring Functions for Protein-Ligand Binding Affinity Prediction Using Structure-based Deep Learning

    Rocco Meli / Garrett M. Morris / Philip C. Biggin

    Frontiers in Bioinformatics, Vol

    A Review

    2022  Volume 2

    Abstract: The rapid and accurate in silico prediction of protein-ligand binding free energies or binding affinities has the potential to transform drug discovery. In recent years, there has been a rapid growth of interest in deep learning methods for the ... ...

    Abstract The rapid and accurate in silico prediction of protein-ligand binding free energies or binding affinities has the potential to transform drug discovery. In recent years, there has been a rapid growth of interest in deep learning methods for the prediction of protein-ligand binding affinities based on the structural information of protein-ligand complexes. These structure-based scoring functions often obtain better results than classical scoring functions when applied within their applicability domain. Here we review structure-based scoring functions for binding affinity prediction based on deep learning, focussing on different types of architectures, featurization strategies, data sets, methods for training and evaluation, and the role of explainable artificial intelligence in building useful models for real drug-discovery applications.
    Keywords drug discovery ; scoring function ; artificial intelligence ; explainable AI ; deep learning ; neural network ; Computer applications to medicine. Medical informatics ; R858-859.7
    Subject code 006
    Language English
    Publishing date 2022-06-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
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