Results 41 to 50 of about 572,996 (341)
Recall, Robustness, and Lexicographic Evaluation [PDF]
arXiv, 2023 Although originally developed to evaluate sets of items, recall is often used to evaluate rankings of items, including those produced by recommender, retrieval, and other machine learning systems. The application of recall without a formal evaluative motivation has led to criticism of recall as a vague or inappropriate measure. In light of this debate,
arxiv
The influence of language learner’s Buddhist background on non-native written language processing
Novye Issledovaniâ Tuvy, 2021 In today’s digitalized world, discovering approaches to enhance written language processing is crucial for successful non-native language acquisition. Whereas psycholinguistic literature suggests that background knowledge generally facilitates written ...
Любовь Владимировна Даржинова
doaj +1 more source
Patient Contact Recall after SARS Exposure
Emerging Infectious Diseases, 2005 We reinterviewed healthcare workers who had been exposed to a patient with severe acute respiratory syndrome (SARS) in an intensive care unit to evaluate the effect of time on recall reliability and willingness to report contact activities and infection ...
Popy Dimoulas +5 more
doaj +1 more source
Frontiers in Psychology, 2018 While learning from observation is generally regarded as major learning mode for motor actions, evidence from dance practice suggests that learning dance movement through verbal instruction might provide a promising way to support dancers' individual ...
Bettina E. Bläsing +4 more
doaj +1 more source
Problems of Horizontal and Vertical Political Accountability of Elected Officials in Indonesia
JILS (Journal of Indonesian Legal Studies), 2021 The accountability system for elected officials in Indonesia is inherently linked with the electoral system that is applied to unravel the problem in the context of a symmetrical system of people's sovereignty.
Muhtar Said +2 more
doaj +1 more source
An associative memory model with very high memory rate: Image storage by sequential addition learning [PDF]
arXiv, 2022 In this paper, we present a neural network system related to about memory and recall that consists of one neuron group (the "cue ball") and a one-layer neural net (the "recall net"). This system realizes the bidirectional memorization learning between one cue neuron in the cue ball and the neurons in the recall net.
arxiv
The power of microRNA regulation—insights into immunity and metabolism
FEBS Letters, EarlyView.MicroRNAs are emerging as crucial regulators at the intersection of metabolism and immunity. This review examines how miRNAs coordinate glucose and lipid metabolism while simultaneously modulating T‐cell development and immune responses. Moreover, it highlights how cutting‐edge artificial intelligence applications can identify miRNA biomarkers ...
Stefania Oliveto +2 more
wiley +1 more source
Possible role of human ribonuclease dicer in the regulation of R loops
FEBS Open Bio, EarlyView.R loops play an important role in regulating key cellular processes such as replication, transcription, centromere stabilization, or control of telomere length. However, the unscheduled accumulation of R loops can cause many diseases, including cancer, and neurodegenerative or inflammatory disorders. Interestingly, accumulating data indicate a possible
Klaudia Wojcik +2 more
wiley +1 more source
Beginning at the beginning: Recall order and the number of words to be recalled. [PDF]
Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016 When participants are asked to recall a short list of words in any order that they like, they tend to initiate recall with the first list item and proceed in forward order, even when this is not a task requirement. The current research examined whether this tendency might be influenced by varying the number of items that are to be recalled.
Lydia Tan +3 more
openaire +4 more sources
A review of artificial intelligence in brachytherapy
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Artificial intelligence (AI) has the potential to revolutionize brachytherapy's clinical workflow. This review comprehensively examines the application of AI, focusing on machine learning and deep learning, in various aspects of brachytherapy.
Jingchu Chen +4 more
wiley +1 more source