Results 1 to 10 of about 10,083 (229)

Development of a predictive model using automated machine learning for Carbapenem-resistant Organisms (CRO) infections in hospitalized patients. [PDF]

Front Microbiol
ObjectiveThis study aimed to develop a predictive model based on Automated Machine Learning (AutoML) to achieve early and precise warning of Carbapenem-resistant Organisms (CRO) infections in hospitalized patients, thereby providing technological support
Fang D, Shi R.
europepmc   +2 more sources

Adaptive and transformative learning in environmental water management: Implementing the Crocodile River’s Ecological Reserve in Kruger National Park, South Africa

Koedoe: African Protected Area Conservation and Science, 2021
Freshwater biodiversity loss in the Anthropocene escalates the need for successful environmental water management to sustain human benefitting ecosystem services.
Craig A. McLoughlin, Eddie S. Riddell, Robin M. Petersen, Jacques Venter   +3 more
doaj   +1 more source

How has Guinea learnt from the response to outbreaks? A learning health system analysis

BMJ Global Health, 2023
Introduction Learning is a key attribute of a resilient health system and, therefore, is central to health system strengthening. The main objective of this study was to analyse how Guinea’s health system has learnt from the response to outbreaks between ...
Thérèse Delvaux, Aliki Christou, Bienvenu Salim Camara, Bruno Meessen, Alexandre Delamou, Tamba Mina Millimouno, Abdoul Habib Beavogui, Willem Van De Put, Marlon Garcia, Sidikiba Sidibé   +9 more
doaj   +1 more source

Social-Ecological System Transformation and Learning: the case of Santa Rosa de Lima’s dairy system, Brazil

Ambiente & Sociedade, 2021
Conventional pastureland management has brought Southern Brazilian dairy farms to a financial and environmental crisis. In this context, the management-intensive grazing system (MIG) emerges as a viable alternative to conventional pastureland management.
Andréa Castelo Branco Brasileiro-Assing, Claudia Sattler, Barbara Schröter, Juan P. Alvez, Paulo Antônio de Almeida Sinisgalli, Abdon Schmitt Filho   +5 more
doaj   +1 more source

Digital Transformation and Organizational Learning: Situated Perspectives on Becoming Digital in Architectural Design Practice

Frontiers in Built Environment, 2022
The architecture, engineering, and construction (AEC) industry is negotiating a slow and fragmented shift toward digital transformation (DT). To identify the drivers and barriers to DT in the AEC industry, this article draws on organizational learning ...
Nicole Gardner
doaj   +1 more source

The origins and conceptualizations of ‘triple-loop’ learning: A critical review [PDF]

Management Learning, 2011
In the organizational learning literature a variety of concepts exists denoting some third order of organizational learning, notably that of ‘triple-loop’ learning. Despite this there has been no systematic, critical consideration of this concept or its origins, impeding both theoretical development and empirical research. Whilst ‘triple-loop learning’
Tosey, PC, Visser, M, Saunders, MNK
openaire   +4 more sources

Exploring social processes in transformation: the case of a collaborative water partnership in South Africa

Ecosystems and People, 2023
We explore the social processes supporting transformation towards collaborative water governance in the uMngeni catchment, South Africa. Using Holling’s adaptive cycle as a heuristic of phases (conservation, release, reorganisation and exploitation ...
Catherine B. Pringle, Richard Meissner, Reinette Biggs, Claudia Pahl-Wostl, Sabine Stuart-Hill, Nadia Sitas   +5 more
doaj   +1 more source

Using process mining for workarounds analysis in context: Learning from a small and medium-sized company case

International Journal of Information Management Data Insights, 2023
Workarounds are deviations in the execution of designed, de jure, work processes. Process mining research has developed methods for unobtrusive workaround analysis using process-aware systems’ datasets.
Fons Wijnhoven, Petra Hoffmann, Rob Bemthuis, Jurian Boksebeld   +3 more
doaj   +1 more source

Determining Multi‐Component Phase Diagrams with Desired Characteristics Using Active Learning

Advanced Science, 2021
Herein, we demonstrate how to predict and experimentally validate phase diagrams for multi‐component systems from a high‐dimensional virtual space of all possible phase diagrams involving several elements based on small existing experimental data.
Yuan Tian, Ruihao Yuan, Dezhen Xue, Yumei Zhou, Yunfan Wang, Xiangdong Ding, Jun Sun, Turab Lookman   +7 more
doaj   +1 more source

Triple-loop learning and conversing with reality [PDF]

Kybernetes, 2014
Purpose– Three levels of learning developed by Gregory Bateson in the tradition of second-order cybernetics have in-part been translated in terms of double-loop and triple-loop learning (TLL), particularly in the tradition of systems thinking. Learning III and TLL have gained less popularity since they deal with less tangible issues regarding virtues ...
openaire   +1 more source