Results 81 to 90 of about 149 (146)

Prediction of B/T Subtype and ETV6–RUNX1 Translocation in Pediatric Acute Lymphoblastic Leukemia by Deep Learning Analysis of Giemsa‐Stained Whole Slide Images of Bone Marrow Aspirates

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Accurate determination of B/T‐cell lineage and the presence of the ETV6–RUNX1 translocation is critical for diagnosing acute lymphoblastic leukemia (ALL), as these factors influence treatment decisions and outcomes. However, these diagnostic processes often rely on advanced tools unavailable in low‐resource settings, creating a need
Arkadi Piven, Gil Shamai, Sarah Elitzur, Galit Pinto Berger, Yoav Binenbaum, Ron Kimmel, Ronit Elhasid   +6 more
wiley   +1 more source

A radar‐based investigation of precipitation growth and decay in South Korea

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Within a Lagrangian framework, we quantitatively retrieved and assessed precipitation growth and decay using the South Korean radar network, focusing on spatial patterns over the unique geographical features, including complex topography and land–ocean boundaries. Our findings indicate that the precipitation growth and decay is significantly influenced
Kwonil Kim, Chia‐Lun Tsai, GyuWon Lee
wiley   +1 more source

Differential reflectivity columns and hail: Linking C‐band radar‐based estimated column characteristics to crowdsourced hail observations in Switzerland

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Differential reflectivity columns (ZDRC$$ {Z}_{\mathrm{DR}}C $$) have been detected automatically on a composite of radar data derived from five operational C‐band dual‐polarization Doppler weather radars in Switzerland. The characteristics of the detected ZDRC$$ {Z}_{\mathrm{DR}}C $$ are linked to a large sample of 173,000 crowdsourced hail ...
Martin Aregger, Olivia Martius, Urs Germann, Alessandro Hering   +3 more
wiley   +1 more source

Convection‐permitting dynamical downscaling of ERA5 for Europe and the Mediterranean basin

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Computational Hydrometeorology with Advanced Performance to Enhanced Realism (CHAPTER) is a novel high‐resolution dynamical downscaling of the European Centre for Medium‐Range Weather Forecasts Reanalysis v5 global reanalysis using the Weather Research and Forecasting model.
Lisa Bernini, Martina Lagasio, Massimo Milelli, Elena Oberto, Antonio Parodi, Stephan Hachinger, Dieter Kranzlmüller, Nazario Tartaglione   +7 more
wiley   +1 more source

Quantum Depletion of Superconductivity in 3D Diamond Nanowires

Advanced Quantum Technologies, EarlyView.
Heavily boron‐doped polycrystalline diamond nanowires demonstrate an exotic resistive state that alters the trend of the superconducting transition. This reentrant resistive state manifests itself as a peak in the current dependence of voltage and a negative magnetoresistance peak. This suggests that cross‐sectional grain boundaries can promote quantum‐
Gufei Zhang, Simon Collienne, Ramiz Zulkharnay, Xiaoxing Ke, Liwang Liu, Songyu Li, Sen Zhang, Yongzhe Zhang, Yejun Li, N. Asger Mortensen, Victor V. Moshchalkov, Jiaqi Zhu, Alejandro V. Silhanek, Paul W. May   +13 more
wiley   +1 more source

Neuro‐Observer Based Adaptive Fixed‐Time Fault‐Tolerant Control for Uncertain Teleoperation System With Input Saturation and Asymmetric Time‐Varying Output Constraints

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT The issue of master‐slave synchronization tracking control for uncertain teleoperation systems with input saturation and asymmetric time‐varying output constraints under actuator failure is investigated. Firstly, a neural network‐based nonlinear disturbance observer is designed to mitigate the negative impact of the compound uncertainty ...
Longnan Li, Lanyong Zhang, Zhenyu Lu, Chenguang Yang   +3 more
wiley   +1 more source

Fixed‐Time Adaptive Neural Control for Physical Human–Robot Collaboration With Time‐Varying Workspace Constraints

International Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Effective physical human–robot collaboration (pHRC) requires strict safety guarantees since robots coordinate with human actions in a shared workspace. Moreover, compliance is essential, enabling robots to adjust their stiffness and behavior in response to human interaction forces. This paper presents a novel fixed‐time adaptive neural control
Yuzhu Sun, Mien Van, Stephen McIlvanna, Nguyen Minh Nhat, Seán McLoone, Dariusz Ceglarek, Shuzhi Sam Ge   +6 more
wiley   +1 more source

A Fully Automated Robotic System for Tuning Optimization of RF Cavity Filter

Journal of Field Robotics, EarlyView.
ABSTRACT The advancements in radar systems, electronic warfare, and telecommunication industries have generated a substantial demand for microwave filters. Among these, cavity filters have conventionally served in transmitters and receivers, facilitating the passage of desired signals in the passband while effectively rejecting harmonics and spurious ...
Yarkin Yigit, Engin Afacan
wiley   +1 more source

Design and Development of an Intelligent Collision Avoidance Platform for a Teleoperated Dual Robotic Arm

Journal of Field Robotics, EarlyView.
ABSTRACT The aim of this study was to develop collision avoidance control for a teleoperated dual robotic arm to minimize collisions in human‐robot collaboration. Generally, in the absence of work cell mapping, collision checking in a teleoperated mobile robot is performed based on motor current or torque. However, this method cannot predict collisions
Samrat Gautam, Ming Li, Daniel Roozbahani, Marjan Alizadeh, Heikki Handroos   +4 more
wiley   +1 more source

Examining wildfire dynamics using ECOSTRESS data with machine learning approaches: the case of South‐Eastern Australia's black summer

Remote Sensing in Ecology and Conservation, EarlyView.
Australia experienced one of the most devastating and intense wildfire seasons on record in 2019–2020. One challenge is to create effective models to identify areas prone to wildfires and understand the vulnerable conditions that will lead to these catastrophic events.
Yuanhui Zhu, Shakthi B. Murugesan, Ivone K. Masara, Soe W. Myint, Joshua B. Fisher   +4 more
wiley   +1 more source