Results 141 to 150 of about 6,051,419 (361)

Modelling the high-voltage grid using open data for Europe and beyond

open access: yesScientific Data
This paper provides the background, methodology and validation for constructing a representation of the European high-voltage grid (AC lines from 220 to 750 kV and all DC lines) based on OpenStreetMap data.
Bobby Xiong   +4 more
doaj   +1 more source

Leveraging Digital Twins for Enhancing Building Energy Efficiency: A Literature Review of Applications, Technologies, and Challenges

open access: yesBuildings
Amid global efforts to mitigate greenhouse gas emissions, improving the energy efficiency of buildings has emerged as a strategic priority. Buildings account for approximately 40% of global energy consumption and a significant share of CO2 emissions ...
Amina Sghiri   +3 more
doaj   +1 more source

News Improved: NPR's Transition from Public Radio to Public Media [PDF]

open access: yes, 2011
In 2007, National Public Radio adopted a multiyear plan to increase the organization's digital footprint and begin transforming itself from a public radio company to a public media company.

core  

Development of a Prediction Model for Progression Risk in High‐Grade Gliomas Based on Habitat Radiomics and Pathomics

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To investigate the value of constructing models based on habitat radiomics and pathomics for predicting the risk of progression in high‐grade gliomas. Methods This study conducted a retrospective analysis of preoperative magnetic resonance (MR) images and pathological sections from 72 patients diagnosed with high‐grade gliomas (52 ...
Yuchen Zhu   +14 more
wiley   +1 more source

Knowledge Transformation and Economic Development: The Role of Digital Technology- An Analysis [PDF]

open access: yes
This paper assesses the role of evolutionary process in knowledge transformation and economic development, especially due to emerging diversified digital technology.
Alam, Adnan   +3 more
core   +1 more source

Open innovation at the digital frontier: unraveling the paradoxes and roadmaps for SMEs' successful digital transformation

open access: yesEuropean Journal of Innovation Management
PurposeThe purpose of this paper is to fill a gap in the literature regarding the open innovation management approaches that small and medium-sized enterprises (SMEs) can use to access digital technologies and incorporate them into their organizational ...
F. Appio   +4 more
semanticscholar   +1 more source

Fluid Biomarkers of Disease Burden and Cognitive Dysfunction in Progressive Supranuclear Palsy

open access: yesAnnals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Identifying objective biomarkers for progressive supranuclear palsy (PSP) is crucial to improving diagnosis and establishing clinical trial and treatment endpoints. This study evaluated fluid biomarkers in PSP versus controls and their associations with regional 18F‐PI‐2620 tau‐PET, clinical, and cognitive outcomes.
Roxane Dilcher   +10 more
wiley   +1 more source

Numerical methods for coupled reconstruction and registration in digital breast tomosynthesis. [PDF]

open access: yes, 2013
Digital Breast Tomosynthesis (DBT) provides an insight into the fine details of normal fibroglandular tissues and abnormal lesions by reconstructing a pseudo-3D image of the breast.
Arridge, S   +3 more
core   +1 more source

A Scoping Review on Artificial Intelligence–Supported Interventions for Nonpharmacologic Management of Chronic Rheumatic Diseases

open access: yesArthritis Care &Research, EarlyView.
This review summarizes artificial intelligence (AI)‐supported nonpharmacological interventions for adults with chronic rheumatic diseases, detailing their components, purpose, and current evidence base. We searched Embase, PubMed, Cochrane, and Scopus databases for studies describing AI‐supported interventions for adults with chronic rheumatic diseases.
Nirali Shah   +5 more
wiley   +1 more source

It’s Not Always about Wide and Deep Models: Click-Through Rate Prediction with a Customer Behavior-Embedding Representation

open access: yesJournal of Theoretical and Applied Electronic Commerce Research
Alongside natural language processing and computer vision, large learning models have found their way into e-commerce. Especially, for recommender systems and click-through rate prediction, these models have shown great predictive power. In this work, we
Miguel Alves Gomes   +3 more
doaj   +1 more source

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