Results 221 to 230 of about 1,205,834 (315)

Review of GPU-based Monte Carlo simulation platforms for transmission and emission tomography in medicine. [PDF]

Phys Med Biol
Chi Y, Schubert K, Badal A, Roncali E.
europepmc   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

British Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran, Ercümend Ersanlı, Hurinur Çelik   +2 more
wiley   +1 more source

Evaluating disruption scenarios for improving downstream oil supply chain resilience and cost minimization using Monte Carlo simulation. [PDF]

Sci Rep
Awan MAH, Naseem A, Ahsan A, Shahzad A, Ullah M, Sadiq AS.   +5 more
europepmc   +1 more source

RETRACTED: Learner emotions and performance in hypercasual VR games with adaptive AI difficulty

British Educational Research Journal, EarlyView.
Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley   +1 more source

Adaptive Machine Learning Framework for Optimizing the Affinity Purification of Adeno‐Associated Viral Vectors

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Adeno‐associated viral (AAV) vectors for gene therapy are becoming integral to modern medicine, providing therapeutic options for diseases once deemed incurable. Currently, viral vector purification is a critical bottleneck in the gene therapy industry, impacting product efficacy and safety as well as accessibility and cost to patients ...
Kelvin P. Idanwekhai, Shriarjun Shastry, Morgan R. Hurst, Arianna Minzoni, Eduardo Barbieri, Luke Remmler, Eugene N. Muratov, Michael A. Daniele, Stefano Menegatti, Alexander Tropsha   +9 more
wiley   +1 more source

Optimizing lens and organ dose evaluation in head CT examinations using monte carlo simulation: influence of gantry tilt and scan range. [PDF]

Radiol Phys Technol
Katsunuma Y, Sato K, Hasegawa T, Koba Y.
europepmc   +1 more source

Artificial Intelligence–Driven and Digital Practices for Circular Business and Finance: Insights for Advancing Hubs for Circularity

Business Strategy and the Environment, EarlyView.
ABSTRACT The emerging concept of Hubs for Circularity (H4Cs) presents an opportunity to create collaborative, self‐sustaining regional industrial ecosystems that drive circular economy transitions at scale. However, the operationalisation of H4Cs faces financial, organisational and data‐driven challenges.
Aditya Tripathi, Marcos R. Machado, Laura Spierdijk, Devrim Murat Yazan   +3 more
wiley   +1 more source

Health risk assessment of potentially toxic elements in bread from Iranian markets using Monte Carlo simulation. [PDF]

Sci Rep
Asadi Touranlou F, Tavakoly Sany SB, Ghayour Mobarhan M, Khanzadi S, Afshari A, Hashemi M.   +5 more
europepmc   +1 more source

Measuring Consumer Aversion Toward AI in Marketing Communication and Assessing Its Relationship to Brand Perceptions and Purchase Intention

Journal of Consumer Behaviour, EarlyView.
ABSTRACT Some consumers exhibit aversion toward artificial intelligence (AI), particularly when it is embedded in persuasive marketing communication (MarCom). Here, we developed and validated a measure of consumer aversion to AI in MarCom and examined its downstream consequences for brand perceptions and purchase intention.
Louvins Pierre, Viviana Carolina Zambrano Rodriguez, Jiayi (Joy) Wang   +2 more
wiley   +1 more source

Evaluation of high dose post-dialytic versus daily beta-lactam dosing in hemodialysis patients using Monte Carlo simulation. [PDF]

Int J Clin Pharm
Bauman AJ, Caiazza OG, Wan N, Payer S, Pauly OG, Shoemaker S, Lewis SJ.   +6 more
europepmc   +1 more source