Results 71 to 80 of about 166,135,342 (278)

Optimizing and evaluating deep learning techniques for stealthy false data injection attacks on smart grids

Energy Reports
The smart grid, as a critical cyber–physical system, is highly susceptible to False Data Injection Attacks (FDIAs), which pose significant threats to its stability and security.
Mostafa Mohammadpourfard, Fateme Ghanaatpishe, Yang Weng, Anurag Srivastava, Chin-Woo Tan   +4 more
doaj   +1 more source

Prevalence of Systemic Lupus Erythematosus in Australia, 2010–2022: A Population‐Based Study Using Linked National Administrative Health Data

Arthritis Care &Research, EarlyView.
Objective Systemic lupus erythematosus (SLE) is a heterogenous inflammatory condition with widely varying global prevalence estimates. The frequency of SLE in the general population of Australia has been reported to be notably lower than contemporary estimates in countries such as the United States or United Kingdom, at 19 to 39 per 100,000 as opposed ...
Lucinda Roper, Rachel Black, Joanna Tieu, Winnie Chen, Matthew Parker, Catherine Hill, Natasha Nassar, Mandana Nikpour   +7 more
wiley   +1 more source

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Interpretive themes in quantum physics : curriculum development and outcomes [PDF]

, 2011
A common learning goal for modern physics instructors is for students to recognize a difference between the experimental uncertainty of classical physics and the fundamental uncertainty of quantum mechanics.
N. Sanjay Rebello, Charles Baily, Baily, Charles, Finkelstein, Noah D., Paula V. Engelhardt, Noah D. Finkelstein, Chandralekha Singh   +6 more
core   +1 more source

Quantum algorithms for cooling: A simple case study

Physical Review Research
Preparation of low-energy quantum many-body states has a wide range of applications in quantum information processing and condensed-matter physics.
Daniel Molpeceres, Sirui Lu, J. Ignacio Cirac, Barbara Kraus   +3 more
doaj   +1 more source

Engagement Patterns With an Artificial Intelligence Health Coach for Systemic Sclerosis Self‐Management: A Mixed Methods Study

Arthritis Care &Research, EarlyView.
Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah, Melanie Morris, Cristina Daraban, Sophia Johnson, Susan L. Murphy   +4 more
wiley   +1 more source

Symmetries and invariances in classical physics [PDF]

, 2005
Symmetry, intended as invariance with respect to a transformation (more precisely, with respect to a transformation group), has acquired more and more importance in modern physics.
Brading, Katherine, Elena Castellani, Castellani, Elena, Katherine Brading   +3 more
core  

Inverse mapping of quantum properties to structures for chemical space of small organic molecules

Nature Communications
Computer-driven molecular design combines the principles of chemistry, physics, and artificial intelligence to identify chemical compounds with tailored properties.
Alessio Fallani, Leonardo Medrano Sandonas, Alexandre Tkatchenko   +2 more
doaj   +1 more source

Automated Hand Flexor Tendon–Thickness Measurement in Systemic Sclerosis

Arthritis Care &Research, EarlyView.
Objective Systemic sclerosis (SSc) can affect flexor tendons, contributing to hand function problems and reduced quality of life. Tendon changes are currently assessed with ultrasonography and measured manually, a time‐consuming process prone to interobserver variability.
Mark Greveling, Ties van het Erve, Yvette van de Berg, Simon Mastbergen, Julia Spierings   +4 more
wiley   +1 more source

A Physics-Informed Variational Autoencoder for Modeling Power Plant Thermal Systems

Energies
Data-driven models for complex thermal systems face two main challenges: a heavy dependence on high-quality training datasets and a “black-box” nature that makes it difficult to align model predictions with fundamental physical laws.
Baoyu Zhu, Shaojun Ren, Qihang Weng, Fengqi Si   +3 more
doaj   +1 more source