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  1. Book ; Online: State and Society in Papua New Guinea, 2001-2021

    May, R.J.

    (Pacific Affairs Series)

    2022  

    Series title Pacific Affairs Series
    Keywords Society & social sciences ; Society & culture: general ; Politics & government ; Papua New Guinea ; Melanesia ; development ; Political reform ; elections
    Language 0|e
    Size 1 electronic resource (336 pages)
    Publisher ANU Press
    Publishing place Canberra
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT021621063
    ISBN 9781760465209 ; 1760465208
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article ; Online: On peer review-then, now, and soon to be?

    Berenbaum, May R

    Proceedings of the National Academy of Sciences of the United States of America

    2023  Volume 120, Issue 11, Page(s) e2302593120

    MeSH term(s) Peer Review ; Peer Review, Research
    Language English
    Publishing date 2023-03-08
    Publishing country United States
    Document type Editorial
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2302593120
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Welcome, AI overlords?

    Berenbaum, May R

    Proceedings of the National Academy of Sciences of the United States of America

    2023  Volume 120, Issue 48, Page(s) e2318980120

    Language English
    Publishing date 2023-11-22
    Publishing country United States
    Document type Editorial
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2318980120
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Bringing an Inside Perspective to Mental Health Services.

    May, Rufus

    Psychiatric services (Washington, D.C.)

    2022  Volume 73, Issue 9, Page(s) 1056–1058

    MeSH term(s) Humans ; Mental Disorders/therapy ; Mental Health Services
    Language English
    Publishing date 2022-03-04
    Publishing country United States
    Document type Journal Article
    ZDB-ID 1220173-x
    ISSN 1557-9700 ; 1075-2730
    ISSN (online) 1557-9700
    ISSN 1075-2730
    DOI 10.1176/appi.ps.73901
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: PNAS rebrand: Improving accessibility in its many forms.

    Berenbaum, May R

    Proceedings of the National Academy of Sciences of the United States of America

    2022  Volume 119, Issue 11, Page(s) e2201928119

    Language English
    Publishing date 2022-03-04
    Publishing country United States
    Document type Editorial
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2201928119
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Policy Making Implementation

    May, Ron

    2009  

    Abstract: There is a vast literature on the principles of public administration and good governance, and no shortage of theoreticians, practitioners and donors eager to push for public sector reform, especially in less-developed countries. Papua New Guinea has had ...

    Abstract There is a vast literature on the principles of public administration and good governance, and no shortage of theoreticians, practitioners and donors eager to push for public sector reform, especially in less-developed countries. Papua New Guinea has had its share of public sector reforms, frequently under the influence of multinational agencies and aid donors. Yet there seems to be a general consensus, both within and outside Papua New Guinea, that policy making and implementation have fallen short of expectations, that there has been a failure to achieve 'good governance'. This volume, which brings together a number of Papua New Guinean and Australian-based scholars and practitioners with deep familiarity of policy making in Papua New Guinea, examines the record of policy making and implementation in Papua New Guinea since independence. It reviews the history of public sector reform in Papua New Guinea, and provides case studies of policy making and implementation in a number of areas, including the economy, agriculture, mineral development, health, education, lands, environment, forestry, decentralization, law and order, defence, women and foreign affairs, privatization, and AIDS.Policy is continuously evolving, but this study documents the processes of policy making and implementation over a number of years, with the hope that a better understanding of past successes and failures will contribute to improved governance in the future
    Keywords Political institutions and public administration (General)
    Size 1 electronic resource (399 p.)
    Publisher ANU Press
    Document type Book ; Online
    Note English ; Open Access
    HBZ-ID HT020087553
    ISBN 9781921536694 ; 1921536691
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  7. Article ; Online: On zombies, struldbrugs, and other horrors of the scientific literature.

    Berenbaum, May R

    Proceedings of the National Academy of Sciences of the United States of America

    2021  Volume 118, Issue 32

    Language English
    Publishing date 2021-07-30
    Publishing country United States
    Document type Editorial
    ZDB-ID 209104-5
    ISSN 1091-6490 ; 0027-8424
    ISSN (online) 1091-6490
    ISSN 0027-8424
    DOI 10.1073/pnas.2111924118
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: MOF-Based Biosensors for the Detection of Carcinoembryonic Antigen: A Concise Review.

    Ibrahim, May R / Greish, Yaser E

    Molecules (Basel, Switzerland)

    2023  Volume 28, Issue 16

    Abstract: Cancer has been considered one of the most serious diseases in recent decades. Early diagnosis of cancer is a crucial step for expedited treatment. Ideally, detection of cancer biomarkers, which are usually elevated because of cancer, is the most ... ...

    Abstract Cancer has been considered one of the most serious diseases in recent decades. Early diagnosis of cancer is a crucial step for expedited treatment. Ideally, detection of cancer biomarkers, which are usually elevated because of cancer, is the most straightforward approach to detecting cancer. Among these biomarkers, the carcinoembryonic antigen (CEA) is considered one of the most important tumor markers for colorectal cancer. The CEA has also been recognized as a biomarker for other types of cancers, including breast, gastric, ovarian, pancreatic, and lung cancers. Typically, conventional CEA testing depends on immunoassay approaches, which are known to be complex, highly expensive, and time consuming. Accordingly, various types of biosensors have been designed for the detection of cancer biomarkers. The main prerequisites of these biosensors are high sensitivity, fast response, and low cost. Many nanostructures have been involved in the design of biosensors, such as nanoparticles of certain metals and metal oxides that are further functionalized to contribute to the sensing of the biomarkers. Alternatively, metal organic frameworks (MOFs), which are extended crystalline structures comprising metal clusters surrounded by organic linkers, have been shown to be highly promising for the development of biosensors. The 3D structure of MOFs results in a combination of high surface area and high interconnected porosity, which are believed to facilitate their function in the design of a biosensor. This review briefly classifies and describes MOF-based biosensor trials that have been published recently for the aim of detecting CEA.
    MeSH term(s) Humans ; Carcinoembryonic Antigen ; Biomarkers, Tumor ; Lung Neoplasms ; Metal-Organic Frameworks ; Nanoparticles
    Chemical Substances Carcinoembryonic Antigen ; Biomarkers, Tumor ; Metal-Organic Frameworks
    Language English
    Publishing date 2023-08-09
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules28165970
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Developing a Technical-Oriented Taxonomy to Define Archetypes of Conversational Agents in Health Care: Literature Review and Cluster Analysis.

    Denecke, Kerstin / May, Richard

    Journal of medical Internet research

    2023  Volume 25, Page(s) e41583

    Abstract: Background: The evolution of artificial intelligence and natural language processing generates new opportunities for conversational agents (CAs) that communicate and interact with individuals. In the health domain, CAs became popular as they allow for ... ...

    Abstract Background: The evolution of artificial intelligence and natural language processing generates new opportunities for conversational agents (CAs) that communicate and interact with individuals. In the health domain, CAs became popular as they allow for simulating the real-life experience in a health care setting, which is the conversation with a physician. However, it is still unclear which technical archetypes of health CAs can be distinguished. Such technical archetypes are required, among other things, for harmonizing evaluation metrics or describing the landscape of health CAs.
    Objective: The objective of this work was to develop a technical-oriented taxonomy for health CAs and characterize archetypes of health CAs based on their technical characteristics.
    Methods: We developed a taxonomy of technical characteristics for health CAs based on scientific literature and empirical data and by applying a taxonomy development framework. To demonstrate the applicability of the taxonomy, we analyzed the landscape of health CAs of the last years based on a literature review. To form technical design archetypes of health CAs, we applied a k-means clustering method.
    Results: Our taxonomy comprises 18 unique dimensions corresponding to 4 perspectives of technical characteristics (setting, data processing, interaction, and agent appearance). Each dimension consists of 2 to 5 characteristics. The taxonomy was validated based on 173 unique health CAs that were identified out of 1671 initially retrieved publications. The 173 CAs were clustered into 4 distinctive archetypes: a text-based ad hoc supporter; a multilingual, hybrid ad hoc supporter; a hybrid, single-language temporary advisor; and, finally, an embodied temporary advisor, rule based with hybrid input and output options.
    Conclusions: From the cluster analysis, we learned that the time dimension is important from a technical perspective to distinguish health CA archetypes. Moreover, we were able to identify additional distinctive, dominant characteristics that are relevant when evaluating health-related CAs (eg, input and output options or the complexity of the CA personality). Our archetypes reflect the current landscape of health CAs, which is characterized by rule based, simple systems in terms of CA personality and interaction. With an increase in research interest in this field, we expect that more complex systems will arise. The archetype-building process should be repeated after some time to check whether new design archetypes emerge.
    MeSH term(s) Humans ; Artificial Intelligence ; Communication ; Language ; Delivery of Health Care ; Cluster Analysis
    Language English
    Publishing date 2023-01-30
    Publishing country Canada
    Document type Journal Article ; Review
    ZDB-ID 2028830-X
    ISSN 1438-8871 ; 1438-8871
    ISSN (online) 1438-8871
    ISSN 1438-8871
    DOI 10.2196/41583
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Transformer Models in Healthcare: A Survey and Thematic Analysis of Potentials, Shortcomings and Risks.

    Denecke, Kerstin / May, Richard / Rivera-Romero, Octavio

    Journal of medical systems

    2024  Volume 48, Issue 1, Page(s) 23

    Abstract: Large Language Models (LLMs) such as General Pretrained Transformer (GPT) and Bidirectional Encoder Representations from Transformers (BERT), which use transformer model architectures, have significantly advanced artificial intelligence and natural ... ...

    Abstract Large Language Models (LLMs) such as General Pretrained Transformer (GPT) and Bidirectional Encoder Representations from Transformers (BERT), which use transformer model architectures, have significantly advanced artificial intelligence and natural language processing. Recognized for their ability to capture associative relationships between words based on shared context, these models are poised to transform healthcare by improving diagnostic accuracy, tailoring treatment plans, and predicting patient outcomes. However, there are multiple risks and potentially unintended consequences associated with their use in healthcare applications. This study, conducted with 28 participants using a qualitative approach, explores the benefits, shortcomings, and risks of using transformer models in healthcare. It analyses responses to seven open-ended questions using a simplified thematic analysis. Our research reveals seven benefits, including improved operational efficiency, optimized processes and refined clinical documentation. Despite these benefits, there are significant concerns about the introduction of bias, auditability issues and privacy risks. Challenges include the need for specialized expertise, the emergence of ethical dilemmas and the potential reduction in the human element of patient care. For the medical profession, risks include the impact on employment, changes in the patient-doctor dynamic, and the need for extensive training in both system operation and data interpretation.
    MeSH term(s) Humans ; Artificial Intelligence ; Documentation ; Electric Power Supplies ; Language ; Physician-Patient Relations
    Language English
    Publishing date 2024-02-17
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 423488-1
    ISSN 1573-689X ; 0148-5598
    ISSN (online) 1573-689X
    ISSN 0148-5598
    DOI 10.1007/s10916-024-02043-5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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