Results 131 to 140 of about 36,686 (299)
Interpretive collaborative review: enabling multi-perspectival dialogues to generate collaborative assignments of relevance to information resources in a dedicated problem domain [PDF]
Interpretive Collaborative Review (ICR) is a process designed to assemble electronically accessible research papers and other forms of information into collaboratively interpreted guides to information artefacts relevant to particular problems.
P. Pennefather, P. Jones
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Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Completing the Circle: Blended Learning in Digital Scholarship Student Programs
In the Digital Scholarship Program at Bryn Mawr, undergraduate and graduate students both learn through and produce blended learning materials. The Digital Scholarship Program runs two academic year and one summer program for small cohorts of students to
Peaker, Alicia
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Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
A Collaborative Vision for Spatial Scholarship Across the CIC
This paper was a major impetus for the creation of the BTAA Geospatial Data Project, with its goal to provide discoverability, facilitate access, and connect scholars to geospatial data resources.This paper identified geospatial data as a long term ...
Bidney, Marcy +2 more
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Cell Segmentation Beyond 2D—A Review of the State‐of‐the‐Art
Cell segmentation underpins many biological image analysis tasks, yet most deep learning methods remain limited to 2D despite the inherently 3D nature of cellular processes. This review surveys segmentation approaches beyond 2D, comparing 2.5D and fully 3D methods, analyzing 31 models and 32 volumetric datasets, and introducing a unified reference ...
Fabian Schmeisser +6 more
wiley +1 more source
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Weathering wikis: net-based learning meets political science in a South African university
This is the author's version of a work that was accepted for publication in Computers and Composition. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms ...
Cox, Glenda +3 more
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Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source

