Results 201 to 210 of about 2,868,125 (339)

Synchronous Reluctance Machine (SynRM) Design

, 2007
The Synchronous Reluctance Motor (SynRM) has been studied. A suitable machine vector modelhas been derived. The influence of the major parameters on the motor performance has beentheoretically determined.Due to the complex rotor geometry in the SynRM, a suitable and simple combined theoretical(analytical) and finite element method has been developed to
openaire   +1 more source

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley   +1 more source

In-depth analysis of magnetic flux concentration indicator in novel curved slots of multi-tooth dual-PM doubly salient machine. [PDF]

Sci Rep
Siritaratiwat A, Seangwong P, Butkaew A, Khunkitti P, Sriwannarat W.   +4 more
europepmc   +1 more source

Embedded Interactions and Selective Disclosure: Network Effects on Conversations aboard Skylab

Symbolic Interaction, EarlyView.
How do absent others influence our interactions? We argue in this paper that interactions are embedded within networks formed by chains of specific relationships between known third parties. The anticipation of future interactions with external others conditions our interpretation of the current situation and affects our behavior in the interaction. We
Michael Schultz, Leslie DeChurch, Noshir Contractor   +2 more
wiley   +1 more source

Expanding access to harm reduction in rural communities through community-informed public health vending machines. [PDF]

Harm Reduct J
Eldridge LA, Dotson C, Harrell L, Berry M, Bradley S, Brunelli A, Casarez J, Fagg V, Odum W, McKenna-Williams A, Egan KL.   +10 more
europepmc   +1 more source

Not All That Glitters Is Gold! The Brokerage Role of Consulting Companies in Disseminating Information to Overcome the Barriers to Metaverse Adoption

Thunderbird International Business Review, EarlyView.
ABSTRACT The last few years have seen a reemergence in the awareness of virtual worlds among practitioners and academics. Driven by tech giants' investments, the Metaverse is considered by some as an unprecedented revolutionary technology with the potential to unlock an entire gamut of new unexplored opportunities for both companies and individuals ...
Giulio Ferrigno, Nadia Di Paola, Giovanni Battista Dagnino   +2 more
wiley   +1 more source

Design optimization of a novel dual-skewed Halbach-array double-sided axial flux permanent magnet motor for electric vehicles. [PDF]

Sci Rep
Srikhumphun P, Seangwong P, Fernando N, Siritaratiwat A, Khunkitti P.   +4 more
europepmc   +1 more source

Comparing isoflurane and desflurane: A prospective randomised blinded clinical trial in horses undergoing elective surgery

Veterinary Record, EarlyView.
Abstract Background The recovery period is associated with the greatest risk of injury for horses undergoing anaesthesia. Recovery quality and duration can be influenced by the volatile agent. Methods This prospective, randomised blinded clinical investigation recruited 101 healthy client‐owned horses undergoing elective surgery at one UK equine ...
Kate White, John Hird, Polly Taylor
wiley   +1 more source

Advanced Fault Diagnosis and Health Monitoring Techniques for Complex Engineering Systems: 2nd Edition. [PDF]

Sensors (Basel)
Li Y, Wang T, Noman K, Li B.
europepmc   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source