Results 221 to 230 of about 893 (280)

TRUST: A toolkit for TEE-assisted secure outsourced computation over integers. [PDF]

Fundam Res
Zhao B, Li J, Qiao C, Liu JN, Pei Q, Shen Y.   +5 more
europepmc   +1 more source

Artificial Intelligence‐Assisted Wireless Handheld Ultrasound for Screening Developmental Dysplasia of the Hip in Infants

Journal of Ultrasound in Medicine, EarlyView.
Objectives Ultrasonography is increasingly the preferred method for infant hip screening to enable timely diagnosis and treatment of developmental dysplasia of the hip (DDH). However, its reliance on experienced specialists and bulky equipment limits its application in routine screening, particularly in resource‐limited and remote settings. We aimed to
Dandan Zhang, Simiao Tao, Ping Chen, Jiangtao Wang, Yu Yang, Xiuxiu Zhang, Tieqiang Wang, Hailin Pan, Jiong Chen, Baoying Ye   +9 more
wiley   +1 more source

Blockchain Factors in the Design of Smart-Media for E-Healthcare Management. [PDF]

Sensors (Basel)
Shah D, Rani S, Shoukat K, Kalsoom H, Shoukat MU, Almujibah H, Liao S.   +6 more
europepmc   +1 more source

Resonant States Reveal Strong Light–Matter Coupling in Nanophotonic Cavities

Laser &Photonics Reviews, EarlyView.
Photonic resonant states reveal characteristics of coupled light–matter systems that would otherwise be hidden by damping. Their trajectories (when tuning the optical resonance) undergo a qualitative change at the onset of strong coupling: They start swapping positions.
Jan David Fischbach, Sergei Gladyshev, Adrià Canós Valero, Markus Nyman, Thomas Weiss, Carsten Rockstuhl   +5 more
wiley   +1 more source

Intrinsically Design‐Rule‐Compliant Nanophotonic Inverse Design via Learned Generative Manifolds

Laser &Photonics Reviews, EarlyView.
A generative reparameterization framework for nanophotonic inverse design is introduced, restricting optimization to a learned manifold of design‐rule‐compliant geometries. Unlike conventional penalty‐based approaches, fabrication constraints are encoded intrinsically within the design representation.
Bahrem Serhat Danis, Demet Baldan Desdemir, Enes Akcakoca, Zeynep Ipek Yanmaz, Gulzade Polat, Ahmet Onur Dasdemir, Aytug Aydogan, Abdullah Magden, Emir Salih Magden   +8 more
wiley   +1 more source

An Optimized Encryption Storage Scheme for Blockchain Data Based on Cold and Hot Blocks and Threshold Secret Sharing. [PDF]

Entropy (Basel)
Yang D, Tsai WT.
europepmc   +1 more source

On Matrix‐Based Cryptography Using Matrix Norm and Special Integer Sequences

Mathematische Nachrichten, EarlyView.
ABSTRACT In this paper, a novel matrix‐based encryption approach based on the Affine Hill cipher is presented. The key matrix is constructed using the Narayana integer sequence, and the Frobenius norm of the key matrix is used as a scaling factor in the key construction.
Melih Göcen, Sümeyye Hacer Büyükakyol   +1 more
wiley   +1 more source

Slide-block: End-to-end amplified security to improve DevOps resilience through pattern-based authentication. [PDF]

Heliyon
Sriraman G, R S.
europepmc   +1 more source

Tracking Genetic Parkinson's Disease with Molecular Imaging: A Systematic Review

Movement Disorders Clinical Practice, EarlyView.
Abstract Background Parkinson's disease (PD) is a worldwide, complex neurodegenerative disorder influenced by both genetic and environmental factors. Around 15–20% of PD cases are linked to genetic mutations, providing insights into the disease's pathogenesis.
Chiara Meneghini, Luca Gallo, Arianna Sala, Enza Maria Valente, Micol Avenali, Silvia Paola Caminiti   +5 more
wiley   +1 more source

Designing γ‐TiAl Alloys With Refined Twin‐Lamellar Microstructures via Machine Learning‐Driven Phase‐Field Methods

Materials Genome Engineering Advances, EarlyView.
Dual‐phase γ‐TiAl alloys with refined twin‐lamellar (RTL) structures exhibit optimal strength‐ductility synergy. Here, phase‐field simulations reveal composition‐stress‐dependent refined twin‐lamellar (RTL) microstructure evolution. Machine learning (CatBoost + NSGA‐III) trained on phase‐field images predicts optimal RTL‐stress‐composition design space.
Jianwei Li, Zhenqiang Xiong, Chuanxin Liang, Tianjiao Dong, Heran Wang, Mengyuan Hao, Liqiang He, Tianlong Zhang, Dong Wang   +8 more
wiley   +1 more source