Children's Geographies; 06/01/2024
(AN 178088795); ISSN: 14733285
Academic Search Premier

Children's Geographies; 06/01/2024
(AN 178088789); ISSN: 14733285
Academic Search Premier

Children's Geographies; 08/01/2024
(AN 178911409); ISSN: 14733285
Academic Search Premier

The post Co-knowledge production linking science, communities and public policy under deep uncertainty in a modern risk society in Japan was curated by information for practice.

The post Social Work England | Knowledge, skills and behaviours Our plan to bring new curriculum guidance into regulation for qualifying social work courses was curated by information for practice.

The post Enhancing the science–policy linkages using traditional and Indigenous knowledge was curated by information for practice.

Methodological Innovations, Ahead of Print. Land use change impacts on Sámi reindeer husbandry are well-documented, but existing maps often fail to capture socio-ecological relationships between herders, reindeer and nature. Conventional Geographic Information Systems (GIS) simplify these relationships, lacking local context and excluding valuable knowledge due to their rigid structure. This paper introduces participatory topological mapping, […]

The post Participatory topological mapping: A novel approach for exploring and communicating situated knowledge of complex socio-ecological systems was curated by information for practice.

Volume 29, Issue 7, October 2024. Read the full article ›

The post Using Legitimation Code Theory to explore knowledge building in English medium higher education teaching: methodological challenges and innovations was curated by information for practice.

Due to the ambiguity related to the lack of phase information, determining the physical parameters of multilayer thin films from measured neutron and X-ray reflectivity curves is, on a fundamental level, an underdetermined inverse problem. This ambiguity poses limitations on standard neural networks, constraining the range and number of considered parameters in previous machine learning solutions. To overcome this challenge, a novel training procedure has been designed which incorporates dynamic prior boundaries for each physical parameter as additional inputs to the neural network. In this manner, the neural network can be trained simultaneously on all well-posed subintervals of a larger parameter space in which the inverse problem is underdetermined. During inference, users can flexibly input their own prior knowledge about the physical system to constrain the neural network prediction to distinct target subintervals in the parameter space. The effectiveness of the method is demonstrated in various scenarios, including multilayer structures with a box model parameterization and a physics-inspired special parameterization of the scattering length density profile for a multilayer structure. In contrast to previous methods, this approach scales favourably when increasing the complexity of the inverse problem, working properly even for a five-layer multilayer model and a periodic multilayer model with up to 17 open parameters.

Long-term population trends for some North American pollinators -- bees, birds, bats, and other animals and insects that spread pollen so plant fertilization can occur -- are demonstrably downward, says a new report from the National Research Council.

Educational and business leaders want todays students both to master school subjects and to excel in areas such as problem solving, critical thinking, and communication

Ovarian cancer should not be categorized as a single disease, but rather as a constellation of different cancers involving the ovary, yet questions remain on how and where various ovarian cancers arise, says a new congressionally mandated report from the National Academies of Sciences, Engineering, and Medicine.

Improved understanding of the coupled natural-human coastal system will help promote resilience of coastal communities and ecosystems under rapidly changing environmental conditions and support informed decision-making, says a new report from the National Academies of Sciences, Engineering, and Medicine.

Priyank Kharge in his keynote at ET GCC Annual Conclave 2024 reiterates the purpose to establish Karnataka as a knowledge and skill capital topped with innovation and GCC policy for investments to follow.

If there’s one thing the last few months have shown us, it’s that business-as-usual can be uprooted without warning.

Nilima Kumar is an expert general dentist and dedicated to exceptional patient care

Richard A. Jeanne has established an extraordinary professional legacy in his specialized field

North East India's First Knowledge Festival

Gary David Cudak is an innovative inventor and dedicated advocate for developing nations

E. Dorinda Shelley is an accomplished physician, educator, scholar and children's book author

The summit will explore avenues for developing future skills and an AI-driven economy

Brice Lenain is an expert AI sales strategist, an exceptional team orchestrator, a recognized leader, and an inspiring educator

Celia Ann Milano is a respected leader in the military information technology sector and a prosperous researcher and author

Alejandra González is the first pilgrim who has enjoyed a few magnificent days in the eternal city of Rome, doing the 'Way of the Holy Grail' with the Pilgrimage Credential.

Melissa M. Verpile is a sought-after consultant and policy expert

Several KM leaders offer predictions for the space in 2023

Modern knowledge management and training are perfect complements to each other?the peanut butter and jelly for your breakfast toast.

Organizations cannot continue to digitally hoard knowledge. Investments in knowledge technology have to pay and provide an ROI. It all starts by making different decisions.

Creating a culture of knowledge sharing requires a shift in culture. This may sound like a daunting task, but it's doable if you approach it with incremental changes across the key areas of your business.

Together, they empower organizations to unlock the full potential of their data and teams

New entity unlocks ROI for enterprise AI by delivering the most comprehensive and trusted industry solution in the field of knowledge graphs and semantic AI technologies

The ability to centralize the knowledge found in the distributed tools, repositories, and databases for KM?practitioners is the defining characteristic of today's technologies. Generative machine learning models not only play pivotal roles in managing that knowledge to make it meaningful to users, but also in enabling them to interface with it on-demand, for ad-hoc use cases.

KnowledgeLake's solutions are designed to improve data accuracy, reduce operational costs, and enable faster decision-making, particularly within industries that handle large volumes of content, such as financial services, government, and healthcare.

AllegroGraph is designed to seamlessly integrate?with LLMs, providing the most secure and scalable AI solution for enterprises. AllegroGraph offers a comprehensive solution platform including Large Language Models (LLMs), Vector generation and storage, Graph Neural Networks, Graph Virtualization, GraphQL, Apache Spark graph analytics, and Kafka streaming graph pipelines.

eGain, the AI knowledge platform for service, is unveiling the eGain AI Agent, the latest product from eGain announced at its Solve 24 conference. Designed with engagement and clarity at its core, eGain AI Agent brings true knowledge system integration to the burgeoning world of agentic AI.

Business owners are always keen to find ways to expand their business and improve productivity. Here are online business courses to make this possible.

Horrifying story here from Sharon Lerner how chemical products company 3M (which has successfully branded itself as the cuddly people behind Post-it notes) polluted the world’s water supply and covered it up for decades. It features several issues we’ve discussed … Continue reading →

DALLAS, Sept. 25, 2024 — The American Heart Association, celebrating 100 years of lifesaving service as the world’s leading nonprofit organization focused on heart and brain health for all, is joining with other top cardiovascular research funders around...

In December 2005 the Web Development team at the University of Bath set up a departmental wiki where they could keep track of information. In this workshop Philip Wilson, University of Bath will explain the reasons for using a wiki, not just for education but for codifying knowledge and working practices in departments and how they can best be utilised so that it is used by everyone in the department, and how to stop it becoming an unmaintained silo of archaic data.

Using a representative sample of irrigation schemes, the study documents the physical, knowledge, and governance infrastructures of irrigation schemes in Ethiopia’s most intensively used river basin, the Awash. The findings show that about 20 percent of the equipped area of irrigation schemes in the basin is not being irrigated, while the number of actual beneficiaries […] Source: IFPRI Ethiopia: Ethiopia Strategy Support Program

Beyond protein lists: AI-assisted interpretation of proteomic investigations in the context of evolving scientific knowledge  Nature.com

Where rule-based machine vision has not been attempted or has reached its limits, there is a high potential for deep learning algorithms to support employees and drive forward automation.

Are you throwing away a significant portion of your budget without realizing it? How often do engineers, scientists, and analysts regenerate knowledge work—solving problems or similar problems that have already been solved?