LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 1205

Search options

  1. Article ; Online: Alien flora of Zimbabwe: Data derived from herbarium specimens.

    Alfred, Maroyi

    Data in brief

    2022  Volume 42, Page(s) 108186

    Abstract: This data is based on herbarium specimens housed by the National Herbarium (SRGH) in Harare, Zimbabwe. Comprehensive data is provided for 1487 alien plant taxa growing in Zimbabwe. This checklist has 1027 taxa that were confined to cultivation, while 63 ... ...

    Abstract This data is based on herbarium specimens housed by the National Herbarium (SRGH) in Harare, Zimbabwe. Comprehensive data is provided for 1487 alien plant taxa growing in Zimbabwe. This checklist has 1027 taxa that were confined to cultivation, while 63 and 397 taxa were recorded as casuals and naturalized, respectively. The alien flora is rich in Fabaceae
    Language English
    Publishing date 2022-04-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2786545-9
    ISSN 2352-3409 ; 2352-3409
    ISSN (online) 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2022.108186
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  2. Article ; Online: The hAT family hopper transposon exists as highly similar yet discontinuous elements in the Bactrocera tephritid fly genus.

    Handler, Alfred M / Furlong, Richard B

    Insect molecular biology

    2024  

    Abstract: The hAT family transposable element, hopper, was originally discovered as a defective 3120-bp full-length element in a wild-type strain of the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), and subsequently a functional 3131-bp ... ...

    Abstract The hAT family transposable element, hopper, was originally discovered as a defective 3120-bp full-length element in a wild-type strain of the oriental fruit fly, Bactrocera dorsalis (Hendel) (Diptera: Tephritidae), and subsequently a functional 3131-bp element, hopper
    Language English
    Publishing date 2024-01-22
    Publishing country England
    Document type Journal Article
    ZDB-ID 33602-6
    ISSN 1365-2583 ; 0962-1075
    ISSN (online) 1365-2583
    ISSN 0962-1075
    DOI 10.1111/imb.12891
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  3. Article: Alien flora of Zimbabwe: Data derived from herbarium specimens

    Alfred, Maroyi

    Data in Brief. 2022 Apr. 11,

    2022  

    Abstract: This data is based on herbarium specimens housed by the National Herbarium (SRGH) in Harare, Zimbabwe. Comprehensive data is provided for 1487 alien plant taxa growing in Zimbabwe. This checklist has 1027 taxa that were confined to cultivation, while 63 ... ...

    Abstract This data is based on herbarium specimens housed by the National Herbarium (SRGH) in Harare, Zimbabwe. Comprehensive data is provided for 1487 alien plant taxa growing in Zimbabwe. This checklist has 1027 taxa that were confined to cultivation, while 63 and 397 taxa were recorded as casuals and naturalized, respectively. The alien flora is rich in Fabaceae sensu lato (13.7%), Asteraceae and Poaceae (7.3% each) plant families. The dataset presented in this article provide important baseline information on alien plant species in Zimbabwe required to monitor status of such species within the country, particularly in protected areas. Therefore, this dataset has potential to serve as a foundation for future research on plant invasions in Zimbabwe.
    Keywords Asteraceae ; Fabaceae ; Poaceae ; data collection ; flora ; herbaria ; introduced plants ; Zimbabwe
    Language English
    Dates of publication 2022-0411
    Publishing place Elsevier Inc.
    Document type Article
    Note Pre-press version
    ZDB-ID 2786545-9
    ISSN 2352-3409
    ISSN 2352-3409
    DOI 10.1016/j.dib.2022.108186
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

  4. Article ; Online: On the role and opportunities in teamwork design for advanced multi-robot search systems.

    Francos, Roee M / Bruckstein, Alfred M

    Frontiers in robotics and AI

    2023  Volume 10, Page(s) 1089062

    Abstract: Intelligent robotic systems are becoming ever more present in our lives across a multitude of domains such as industry, transportation, agriculture, security, healthcare and even education. Such systems enable humans to focus on the interesting and ... ...

    Abstract Intelligent robotic systems are becoming ever more present in our lives across a multitude of domains such as industry, transportation, agriculture, security, healthcare and even education. Such systems enable humans to focus on the interesting and sophisticated tasks while robots accomplish tasks that are either too tedious, routine or potentially dangerous for humans to do. Recent advances in perception technologies and accompanying hardware, mainly attributed to rapid advancements in the deep-learning ecosystem, enable the deployment of robotic systems equipped with onboard sensors as well as the computational power to perform autonomous reasoning and decision making online. While there has been significant progress in expanding the capabilities of single and multi-robot systems during the last decades across a multitude of domains and applications, there are still many promising areas for research that can advance the state of cooperative searching systems that employ multiple robots. In this article, several prospective avenues of research in teamwork cooperation with considerable potential for advancement of multi-robot search systems will be visited and discussed. In previous works we have shown that multi-agent search tasks can greatly benefit from intelligent cooperation between team members and can achieve performance close to the theoretical optimum. The techniques applied can be used in a variety of domains including planning against adversarial opponents, control of forest fires and coordinating search-and-rescue missions. The state-of-the-art on methods of multi-robot search across several selected domains of application is explained, highlighting the pros and cons of each method, providing an up-to-date view on the current state of the domains and their future challenges.
    Language English
    Publishing date 2023-04-13
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2781824-X
    ISSN 2296-9144 ; 2296-9144
    ISSN (online) 2296-9144
    ISSN 2296-9144
    DOI 10.3389/frobt.2023.1089062
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  5. Article ; Online: A Machine Learning Approach with Human-AI Collaboration for Automated Classification of Patient Safety Event Reports: Algorithm Development and Validation Study.

    Chen, Hongbo / Cohen, Eldan / Wilson, Dulaney / Alfred, Myrtede

    JMIR human factors

    2024  Volume 11, Page(s) e53378

    Abstract: Background: Adverse events refer to incidents with potential or actual harm to patients in hospitals. These events are typically documented through patient safety event (PSE) reports, which consist of detailed narratives providing contextual information ...

    Abstract Background: Adverse events refer to incidents with potential or actual harm to patients in hospitals. These events are typically documented through patient safety event (PSE) reports, which consist of detailed narratives providing contextual information on the occurrences. Accurate classification of PSE reports is crucial for patient safety monitoring. However, this process faces challenges due to inconsistencies in classifications and the sheer volume of reports. Recent advancements in text representation, particularly contextual text representation derived from transformer-based language models, offer a promising solution for more precise PSE report classification. Integrating the machine learning (ML) classifier necessitates a balance between human expertise and artificial intelligence (AI). Central to this integration is the concept of explainability, which is crucial for building trust and ensuring effective human-AI collaboration.
    Objective: This study aims to investigate the efficacy of ML classifiers trained using contextual text representation in automatically classifying PSE reports. Furthermore, the study presents an interface that integrates the ML classifier with the explainability technique to facilitate human-AI collaboration for PSE report classification.
    Methods: This study used a data set of 861 PSE reports from a large academic hospital's maternity units in the Southeastern United States. Various ML classifiers were trained with both static and contextual text representations of PSE reports. The trained ML classifiers were evaluated with multiclass classification metrics and the confusion matrix. The local interpretable model-agnostic explanations (LIME) technique was used to provide the rationale for the ML classifier's predictions. An interface that integrates the ML classifier with the LIME technique was designed for incident reporting systems.
    Results: The top-performing classifier using contextual representation was able to obtain an accuracy of 75.4% (95/126) compared to an accuracy of 66.7% (84/126) by the top-performing classifier trained using static text representation. A PSE reporting interface has been designed to facilitate human-AI collaboration in PSE report classification. In this design, the ML classifier recommends the top 2 most probable event types, along with the explanations for the prediction, enabling PSE reporters and patient safety analysts to choose the most suitable one. The LIME technique showed that the classifier occasionally relies on arbitrary words for classification, emphasizing the necessity of human oversight.
    Conclusions: This study demonstrates that training ML classifiers with contextual text representations can significantly enhance the accuracy of PSE report classification. The interface designed in this study lays the foundation for human-AI collaboration in the classification of PSE reports. The insights gained from this research enhance the decision-making process in PSE report classification, enabling hospitals to more efficiently identify potential risks and hazards and enabling patient safety analysts to take timely actions to prevent patient harm.
    MeSH term(s) Female ; Pregnancy ; Humans ; Artificial Intelligence ; Patient Safety ; Algorithms ; Machine Learning ; Oxides ; Calcium Compounds
    Chemical Substances lime (C7X2M0VVNH) ; Oxides ; Calcium Compounds
    Language English
    Publishing date 2024-01-25
    Publishing country Canada
    Document type Journal Article
    ISSN 2292-9495
    ISSN (online) 2292-9495
    DOI 10.2196/53378
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  6. Article: Comparative gastroenterology.

    Merritt, Alfred M

    The American journal of digestive diseases

    2020  Volume 22, Issue 10, Page(s) 936

    Keywords covid19
    Language English
    Publishing date 2020-03-26
    Publishing country United States
    Document type Case Reports
    ZDB-ID 80027-2
    ISSN 0002-9211 ; 0092-5640
    ISSN 0002-9211 ; 0092-5640
    DOI 10.1007/BF01076174
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  7. Article: Comparative gastroenterology.

    Merritt, Alfred M

    The American journal of digestive diseases

    2020  Volume 23, Issue 5, Page(s) 478–479

    Keywords covid19
    Language English
    Publishing date 2020-03-25
    Publishing country United States
    Document type Case Reports
    ZDB-ID 80027-2
    ISSN 0002-9211 ; 0092-5640
    ISSN 0002-9211 ; 0092-5640
    DOI 10.1007/BF01072934
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  8. Article ; Online: On the role and opportunities in teamwork design for advanced multi-robot search systems

    Roee M. Francos / Alfred M. Bruckstein

    Frontiers in Robotics and AI, Vol

    2023  Volume 10

    Abstract: Intelligent robotic systems are becoming ever more present in our lives across a multitude of domains such as industry, transportation, agriculture, security, healthcare and even education. Such systems enable humans to focus on the interesting and ... ...

    Abstract Intelligent robotic systems are becoming ever more present in our lives across a multitude of domains such as industry, transportation, agriculture, security, healthcare and even education. Such systems enable humans to focus on the interesting and sophisticated tasks while robots accomplish tasks that are either too tedious, routine or potentially dangerous for humans to do. Recent advances in perception technologies and accompanying hardware, mainly attributed to rapid advancements in the deep-learning ecosystem, enable the deployment of robotic systems equipped with onboard sensors as well as the computational power to perform autonomous reasoning and decision making online. While there has been significant progress in expanding the capabilities of single and multi-robot systems during the last decades across a multitude of domains and applications, there are still many promising areas for research that can advance the state of cooperative searching systems that employ multiple robots. In this article, several prospective avenues of research in teamwork cooperation with considerable potential for advancement of multi-robot search systems will be visited and discussed. In previous works we have shown that multi-agent search tasks can greatly benefit from intelligent cooperation between team members and can achieve performance close to the theoretical optimum. The techniques applied can be used in a variety of domains including planning against adversarial opponents, control of forest fires and coordinating search-and-rescue missions. The state-of-the-art on methods of multi-robot search across several selected domains of application is explained, highlighting the pros and cons of each method, providing an up-to-date view on the current state of the domains and their future challenges.
    Keywords multiple mobile robot systems ; teamwork analysis ; motion and path planning for multi agent systems ; aerial robots ; robot surveillance and security ; collaborative algorithms for motion planning of autonomous robots ; Mechanical engineering and machinery ; TJ1-1570 ; Electronic computers. Computer science ; QA75.5-76.95
    Subject code 629
    Language English
    Publishing date 2023-04-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    More links

    Kategorien

  9. Article ; Online: Improving health equity through clinical innovation.

    Alfred, Myrtede / Tully, Kristin P

    BMJ quality & safety

    2022  

    Language English
    Publishing date 2022-07-26
    Publishing country England
    Document type Editorial
    ZDB-ID 2592909-4
    ISSN 2044-5423 ; 2044-5415
    ISSN (online) 2044-5423
    ISSN 2044-5415
    DOI 10.1136/bmjqs-2021-014540
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

  10. Article ; Online: The logic of basic education provision and public goods preferences in Chinese fiscal federalism.

    Wu, Alfred M

    PloS one

    2019  Volume 14, Issue 12, Page(s) e0225299

    Abstract: Without election or re-election motivations, what factors have impacted public goods preferences in an authoritarian country such as China? More specifically, what makes political elites be devoted to or not be devoted to local public goods provision? ... ...

    Abstract Without election or re-election motivations, what factors have impacted public goods preferences in an authoritarian country such as China? More specifically, what makes political elites be devoted to or not be devoted to local public goods provision? This study, using basic education provision as an example, intends to gauge the impact of leadership selection on public goods provision in China. It is found that career trajectories of politicians have a bearing on basic education provision. The findings suggest that even under a top-down appointment system, homegrown politicians are more willing to cater to local preferences, especially on basic education provision, which suggests an extension of Riker's theory, applied in a non-democratic regime. Numerous studies have examined the impacts of decentralization on a variety of aspects of public governance in different contexts. Nevertheless, the unique contribution of this study is its policy implication that political centralization may not be an effective solution for local public governance even in an authoritarian context.
    MeSH term(s) Asian Continental Ancestry Group/education ; Authoritarianism ; China ; Communism/economics ; Fiscal Policy ; Humans ; Leadership ; Local Government ; Logic ; Politics ; Social Responsibility ; Socioeconomic Factors
    Language English
    Publishing date 2019-12-02
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1932-6203
    ISSN (online) 1932-6203
    DOI 10.1371/journal.pone.0225299
    Database MEDical Literature Analysis and Retrieval System OnLINE

    More links

    Kategorien

To top