Results 41 to 50 of about 22,632 (246)

Robotic Needle Steering for Percutaneous Interventions: Sensing, Modeling, and Control

Advanced Intelligent Systems, EarlyView.
This review examines recent advances in robotic needle steering for percutaneous interventions, highlighting closed‐loop sensing, physics‐informed tissue‐needle interaction modeling, and real‐time trajectory planning and control. It synthesizes innovations in deep learning, fiber‐optic feedback, and adaptive control strategies, and outlines emerging ...
Fangjiao Zhao, Ruixue Xu, Wujun Zhao, Xi‐Ming Sun, Yu Sun, Changsheng Dai   +5 more
wiley   +1 more source

Understanding Youth Assaults of Police Officers in Australia: A Power Threat Meaning Framework Analysis

Australian Journal of Social Issues, EarlyView.
ABSTRACT This study explores youth violence towards police officers in Australia through the Power Threat Meaning Framework (PTMF) to better understand the underlying factors contributing to such violence; focusing on power dynamics, childhood adversity, and trauma.
Dimitra Lattas, Kelly Hine, Catherine Creamer, Kelley Burton, Katelyn Davenport‐Klunder   +4 more
wiley   +1 more source

Harnessing Machine Learning and Deep Learning Approaches for Laser‐Induced Breakdown Spectroscopy Data Analysis: A Comprehensive Review

Analysis &Sensing, EarlyView.
Laser‐induced breakdown spectroscopy (LIBS), an atomic emission technique, is widely applied in fields like geology and biology. This rapid elemental analysis method leverages computational tools to boost precision and speed up data processing. This review explores machine learning and deep learning methods for analyzing LIBS spectral data, tackling ...
Pegah Dehbozorgi, Ludovic Duponchel, Vincent Motto‐Ros, Thomas Bocklitz   +3 more
wiley   +1 more source

Renal Arterial Anatomy: Implications for Normothermic Machine Perfusion in Renal Transplantation

Clinical Anatomy, EarlyView.
ABSTRACT Normothermic machine perfusion (NMP) is a novel technology that has shown potential in viability assessment and reconditioning of donor organs. Normothermic machine perfusion is technically more challenging in kidneys with multiple renal arteries (RAs).
Lily Mae Miller, Peter Douglas, Julie Glen, Emma Aitken   +3 more
wiley   +1 more source

Functional regression with intensively measured longitudinal outcomes: a new lens through data partitioning

Canadian Journal of Statistics, EarlyView.
Abstract Modern longitudinal data from wearable devices consist of biological signals at high‐frequency time points. Distributed statistical methods have emerged as a powerful tool to overcome the computational burden of estimation and inference with large data, but methodology for distributed functional regression remains limited.
Cole Manschot, Emily C. Hector
wiley   +1 more source

Rank‐based estimation of propensity score weights via subclassification

Canadian Journal of Statistics, EarlyView.
Abstract Propensity score (PS) weighting estimators are widely used for causal effect estimation and enjoy desirable theoretical properties, such as consistency and potential efficiency under correct model specification. However, their performance can degrade in practice due to sensitivity to PS model misspecification.
Linbo Wang, Yuexia Zhang, Thomas S. Richardson, Xiaohua Zhou   +3 more
wiley   +1 more source

A probabilistic diagnostic for Laplace approximations: Introduction and experimentation

Canadian Journal of Statistics, EarlyView.
Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley   +1 more source

Cleanet: Robust Doublet Detection in Cytometry Data Based on Protein Expression Patterns

Cytometry Part A, EarlyView.
ABSTRACT Flow and mass cytometry experiments are essential for profiling immune cells at single‐cell resolution. Better understanding of human immunology increasingly involves analyzing studies at the scale of hundreds or thousands of samples, with data analysis a significant bottleneck.
Matei Ionita, Michelle L. McKeague, Mark M. Painter, Divij Mathew, Ajinkya Pattekar, Ayman Rezk, Shwetank, Damian Maseda, E. John Wherry, Allison R. Greenplate   +9 more
wiley   +1 more source

Rockburst prediction based on data preprocessing and hyperband‐RNN‐DNN

Deep Underground Science and Engineering, EarlyView.
A data preprocessing workflow is proposed to address challenges in rockburst data analysis. Coupled algorithms preprocess the data set, and hyperband optimization is used to enhance RNN performance. Results show that preprocessing improves accuracy, while dense layers enhance model stability and prediction performance.
Yong Fan, Chenxi Yin, Guangdong Yang, Shengyong Ding, Bin Tian   +4 more
wiley   +1 more source

Identification of novel genes regulating the development of the palate

Developmental Dynamics, EarlyView.
Abstract Background The International Mouse Phenotyping Consortium (IMPC) has generated thousands of knockout mouse lines, many of which exhibit embryonic or perinatal lethality. Using micro‐computed tomography (micro‐CT), the IMPC has created and publicly released three‐dimensional image data sets of embryos from these lethal and subviable lines.
Ashwin Bhaskar, Sophie Astrof
wiley   +1 more source