Results 121 to 130 of about 5,396,367 (373)
Under environmental changes, the expression level of neuropeptide (NP) and neuropeptide receptor (NPR) genes changes to confer context‐dependent adaptation to the model organism Drosophila melanogaster. Through finding more regulatory elements in the NPR genes in comparison with their ligands (NPs), we found that NPR‐biased transcriptional regulation ...
SeungHeui Ryu+6 more
wiley +1 more source
Apprendere (con) l’intelligenza artificiale. Un approccio media-archeologico
LEARNING (WITH) ARTIFICIAL INTELLIGENCE. A MEDIA-ARCHAEOLOGICAL APPROACH Abstract The article explores the role and implications of generative artificial intelligence (AI) in the educational context, challenging polarized narratives between apocalyptic
Stefano Moriggi, Mario Pireddu
doaj +1 more source
CEPS Task Force on Artificial Intelligence and Cybersecurity Technology, Governance and Policy Challenges Task Force Evaluation of the HLEG Trustworthy AI Assessment List (Pilot Version). CEPS Task Force Report 22 January 2020 [PDF]
The Centre for European Policy Studies launched a Task Force on Artificial Intelligence (AI) and Cybersecurity in September 2019. The goal of this Task Force is to bring attention to the market, technical, ethical and governance challenges posed by the ...
Fantin, Stephano+2 more
core
Interplay between RNA‐protein interactions and RNA structures in gene regulation
Methodological advances in mapping transcriptome‐wide RNA‐protein interactions and RNA structures have started to uncover the potential of RNP conformations in gene regulation. Competing RNA–RNA, RNA‐protein and protein–protein interactions shape the compaction and function of RNPs throughout their lifetime and may provide novel therapeutic targets in ...
Jenni Rapakko+2 more
wiley +1 more source
The article aims to analyse AI’s use for optimising management processes in urban waste incineration plants, making them consistent with the implementation of the sustainable development goals SDG #11 and SDG #12.
Czemiel-Grzybowska Wioletta+3 more
doaj +1 more source
FOR A NEW EDUCATIONAL PARADIGM BETWEEN ARTIFICIAL INTELLIGENCE, CURRICULUM AND DIGITAL CITIZENSHIP. A FIRST REFLECTION Abstract The present research work will attempt to clarify some of the phases of the new educational paradigm in its initial state of
Alessio Fabiano
doaj +1 more source
ABSTRACT Nontraditional students represent a substantial number and significant percentage of students in higher education. While these adult learners have similarities, they also span 50+ years with generational differences. At the same time, online learning is on the rise, offering opportunities and challenges for nontraditional students and those ...
Brittany Hyden, Catherine A. Cherrstrom
wiley +1 more source
ABSTRACT Objective To distinguish lateralized motor‐ and sensory‐tract damage after acute spinal cord injury (SCI) and explore its predictive power for motor and sensory recovery. Methods Thirty‐five SCI patients (two female) from a multi‐center data set (placebo‐arm of the Nogo‐A‐Inhibition in SCI trial) underwent routine T2‐weighted sagittal MRI ...
Lynn Farner+7 more
wiley +1 more source
ABSTRACT Objective Reliable biomarkers are essential for tracking disease progression and advancing treatments for multiple system atrophy (MSA). In this study, we propose the MSA Atrophy Index (MSA‐AI), a novel composite volumetric measure to distinguish MSA from related disorders and monitor disease progression. Methods Seventeen participants with an
Paula Trujillo+11 more
wiley +1 more source
Abstract Background Artificial Intelligence is influencing medicine on all levels. Neurology, one of the most complex and progressive medical disciplines, is no exception. No longer limited to neuroimaging, where data-driven approaches were initiated, machine and deep learning methodologies are taking neurologic ...
Julian Bösel+5 more
openaire +3 more sources