Results 111 to 120 of about 150,050 (298)

Approximate round number use depends on magnitude

Language and Cognition
Numbers have mathematically defined, formal meanings, which afford precision and objectivity. In practice, however, we show that round numbers are frequently used approximately, and this approximate use depends on magnitude.
Greg Woodin, Alexandra Lorson, Bodo Winter   +2 more
doaj   +1 more source

DRIVE‐SAFE: Data‐Driven Robustness and Informed Validation for Evolving Specifications via Formal Evaluation

Advanced Robotics Research, EarlyView.
DRIVE‐SAFE evaluates learning‐based, black‐box autonomous driving policies against evolving temporal safety requirements using Signal Temporal Logic robustness metrics. It aggregates distributional robustness measures with domain‐informed weights to guide iterative retraining.
Kristy Sakano, Jianyu An, Dinesh Manocha, Huan Xu   +3 more
wiley   +1 more source

WiPhi: using location-specific WiFi signals for password hardening and improvement

EURASIP Journal on Information Security
Having a strong password is vital in maintaining secure access to private or sensitive data. However, strong passwords require good memorization skills, placing a significant burden on human memory and cognitive capacity.
Philipp Christian Arnold, Philipp Jakubeit, Andreas Peter   +2 more
doaj   +1 more source

The heritability and structural correlates of resting-state fMRI complexity

NeuroImage
The complexity of fMRI signals quantifies temporal dynamics of spontaneous neural activity, which has been increasingly recognized as providing important insights into cognitive functions and psychiatric disorders.
Yi Zhen, Yaqian Yang, Yi Zheng, Xin Wang, Longzhao Liu, Zhiming Zheng, Hongwei Zheng, Shaoting Tang   +7 more
doaj   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Semantics and Cultural Change in the British Enlightenment: New Words and Old

, 2020
Carey McIntosh
openalex   +2 more sources

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

Advanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju, Adithya Umanath Rai, Jose Thomson, Marzie Ghorbani, Shujing Zhao, Nick Birbilis   +5 more
wiley   +1 more source

PhosSight: A Unified Deep Learning Framework Boosting and Accelerating Phosphoproteome Identification to Enable Biological Discoveries

Advanced Science, EarlyView.
PhosSight is a unified deep‐learning framework for phosphoproteome identification, featured by a phosphorylation‐aware detectability predictor. It improves identification sensitivity in DDA through deep re‐localization and rescoring, accelerates DIA searches by detectability‐guided spectral library pruning, and expands phosphoproteome coverage to ...
Ben Wang, Zhiyuan Cheng, Chengying She, Hongwei Zhao, Jiahui Zhang, Lin Lv, Zhihao Yan, Hongwen Zhu, Lizhuang Liu, Yan Fu, Xinpei Yi   +10 more
wiley   +1 more source

Construction of geriatric hypoalbuminemia predicting model for hypoalbuminemia patients with and without pneumonia and explainability analysis

Frontiers in Medicine
Background and objectivesPneumonia portrays a critical health concern in geriatrics. Geriatric pneumonia can lead to changes on other complications, in which hypoalbuminemia is a common complication.
Ziqi Liu, Ziqi Liu, Qi Kang, Zhilong Mi, Zhilong Mi, Yuan Yuan, Tiantian Sang, Binghui Guo, Binghui Guo, Binghui Guo, Zhiming Zheng, Zhiming Zheng, Zhiming Zheng, Ziqiao Yin, Ziqiao Yin, Ziqiao Yin, Ziqiao Yin, Wei Tian   +17 more
doaj   +1 more source

stMixer for Scalable Mosaic Integration and Label Transfer in Spatial Histology and Multi‐Omics

Advanced Science, EarlyView.
stMixer is an unsupervised framework for scalable integration and label transfer across spatial histology and multi‐slide multi‐omics data with incomplete modality overlap. It combines self‐looped cross‐attention, multimodal metric learning, and graph‐guided cluster voting to align heterogeneous sections, correct batch effects, and propagate ...
Qixing Yang, Yan Wang, Luonan Chen, Chunman Zuo   +3 more
wiley   +1 more source