Results 81 to 90 of about 13,692 (309)

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

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Bidirectional semantic priming in the attentional blink [PDF]

open access: yesPsychonomic Bulletin & Review, 2005
The time course of semantic priming between two associated words was tracked using rapid serial visual presentation of two synchronized streams of stimuli appearing at about 20 items/sec, each stream including a target word. The two words were semantically related or unrelated and were separated by stimulus onset asynchronies (SOAs) of 0-213 msec ...
Mary C. Potter   +5 more
openaire   +3 more sources

Rime and syllabic effects in phonological priming between French spoken words. [PDF]

open access: yes, 1997
Phonological priming between spoken words was examined using CVCVC bisyllabic pseudoword primes and word or pseudoword targets. The influence of different types of overlap was compared, prime and target sharing the coda, the rime or the final ...
Dumay, Nicolas, Radeau, Monique
core  

Full‐Body AI Agent: A Perspective on Multi‐Scale Collaborative AI for Systemic Biology and Precision Medicine

open access: yesAdvanced Science, EarlyView.
We propose the Full‐Body AI Agent, a multi‐scale collaborative framework with 7 biological‐layer agents. It unifies multi‐omics/clinical data via standardized protocols, enabling phenotype‐guided closed‐loop reasoning, quantitative evaluation, and LLM safeguards, with promising applications in tumor metastasis modeling and precision drug development ...
Aoqi Wang   +11 more
wiley   +1 more source

Word encoding during sleep is suggested by correlations between word-evoked up-states and post-sleep semantic priming

open access: yesFrontiers in Psychology, 2014
To test whether humans can encode words during sleep we played everyday words to men while they were napping and assessed priming from sleep-played words following waking. Words were presented during non-rapid eye movement (NREM) sleep.
Simon eRuch   +7 more
doaj   +1 more source

Measuring the semantic priming effect across many languages

open access: yes
Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. Although previous studies provide insight into the cognitive underpinnings of semantic representations, they have suffered from ...
Miranda, Jacob F.   +77 more
core   +1 more source

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

open access: yesAdvanced 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   +5 more
wiley   +1 more source

Cohort and Rhyme Priming Emerge from the Multiplex Network Structure of the Mental Lexicon

open access: yesComplexity, 2018
Complex networks recently opened new ways for investigating how language use is influenced by the mental representation of word similarities. This work adopts the framework of multiplex lexical networks for investigating lexical retrieval from memory ...
Massimo Stella
doaj   +1 more source

Semantic Priming Across Many Languages (SPAML)

open access: yes, 2022
Semantic priming has been studied for nearly 50 years across various experimental manipulations and theoretical frameworks. These studies provide insight into the cognitive underpinnings of semantic representations in both healthy and clinical ...
Neil Lewis, Jr.   +7 more
core   +1 more source

Cross‐Modal Denoising and Integration of Spatial Multi‐Omics Data with CANDIES

open access: yesAdvanced Science, EarlyView.
In this paper, we introduce CANDIES, which leverages a conditional diffusion model and contrastive learning to effectively denoise and integrate spatial multi‐omics data. We conduct extensive evaluations on diverse synthetic and real datasets, CANDIES shows superior performance on various downstream tasks, including denoising, spatial domain ...
Ye Liu   +5 more
wiley   +1 more source

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