Results 171 to 180 of about 281,995 (369)

Diffusion‐Weighted Imaging for the Evaluation of the Sacroiliac Joint in Pediatric Patients

Arthritis Care &Research, Accepted Article.
Background Maturational signal in the sacroiliac joint (SIJ) of skeletally immature youth is often misinterpreted as inflammation. Diagnostic tools that improve specificity are greatly needed. Apparent diffusion coefficient (ADC) values from diffusion‐weighted imaging (DWI), when used with standard imaging, may enhance diagnostic accuracy.
Michael L. Francavilla, Timothy G. Brandon, Dmitry Khrichenko, Rui Xiao, Nancy A. Chauvin, Asef Khwaja, Pamela F. Weiss   +6 more
wiley   +1 more source

Comparison of Imputation Techniques for Efficient Prediction of Software Fault Proneness in Classes [PDF]

, 2010
Geeta Sikka, Arvinder Kaur Takkar, Moin Uddin   +2 more
openalex   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Integrated Fault Tree and Case Analysis for Equipment Conventional Fault IETM Diagnosis. [PDF]

Sensors (Basel)
Wu J, Chen C, Ma Y, Xiu Z, Cheng Z, Pan Y, Song S.   +6 more
europepmc   +1 more source

Application of Fuzzy Time Series in Prediction of Time Between Failures & Faults in Software Reliability Assessment [PDF]

, 2011
Subhashis Chatterjee, Shobhit Nigam, J.B. Singh, Lakshmi N. Upadhyaya   +3 more
openalex   +1 more source

Retrotransposon Expression Is Upregulated in Adulthood and Suppressed during Regeneration of the Limb in the Axolotl (Ambystoma mexicanum)

Advanced Biology, EarlyView.
The axolotl's remarkable regenerative abilities decline with age, the causes may include the numerous repetitive elements within its genome. This study uncovers how Ty3 retrotransposons and coexpression networks involving muscle and immune pathways respond to aging and regeneration, suggesting that transposons respond to physiological shifts and may ...
Samuel Ruiz‐Pérez, Nicolás Alcaraz, Karla Torres‐Arciga, José Antonio Ocampo‐Cervantes, Alejandra Cervera, Clementina Castro‐Hernández, Cynthia Gabriela Sámano‐Salazar, Ernesto Soto‐Reyes, Rodrigo González‐Barrios   +8 more
wiley   +1 more source

Research on Shape-Performance Integrated Monitoring Technology for Planetary Gearboxes Based on the Integration of Artificial Intelligence, Finite Element Analysis, and Multibody Dynamics Simulation. [PDF]

Sensors (Basel)
Cui Y, An B, Wu Z, Shang Z, Zhang X.
europepmc   +1 more source

LIN28B Promotes Cancer Cell Dissemination and Angiogenesis

Advanced Biology, EarlyView.
Children diagnosed with high‐risk neuroblastoma have a 5‐year event‐free survival rate of less than 50% and poor outcomes after recurrence. Deregulation of the LIN28B oncogene can be addressed in these patients. Upregulation of LIN28B is shown to support the metastatic cascade.
Diana Corallo, Sara Menegazzo, Marcella Pantile, Silvia Bresolin, Carlo Zanon, Alessandro Davini, Massimiliano Mazzone, Alessandra Biffi, Sanja Aveic   +8 more
wiley   +1 more source

Study on the gas outflow pattern and outflow prediction model of the return mining face under complex geological conditions. [PDF]

Sci Rep
Sun Y, Zheng L, Lan H, Yu Z, Wang J, Li B, Yang F, Wen F.   +7 more
europepmc   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source