Results 111 to 120 of about 2,563,053 (365)

Exploring consumption profiles, consumer experience and quality claims of Canary Islands' cider (Spain): A multidimensional analysis

Agribusiness, EarlyView.
Abstract The exponential expansion of the global cider market positions it as a viable alternative to traditional choices such as wine and beer. Nevertheless, there exists a paucity of research examining the various factors influencing consumer interest in cider.
Eva Parga Dans, Pablo Alonso González, Raimundo Otero Enríquez, María‐Pilar Sáenz Navajas   +3 more
wiley   +1 more source

Hemispheric processing of memory is affected by sleep [PDF]

, 2016
The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Sleep is known to affect learning and memory, but the extent to which it influences behavioural processing ...
Ashworth-Lord, Anneliese, Monaghan, Padraic, Newbury, Chloe, Shaw, John J   +3 more
core   +2 more sources

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Semantic memory is impaired in both dementia with Lewy Bodies (DLB) and dementia of Alzheimer's type (DAT): a comparative neuropsychological study and literature review [PDF]

, 2001
OBJECTIVE---To test the hypothesis that semantic impairment is present in both patients with dementia with Lewy bodies (DLB) and those with dementia of Alzheimer's type (DAT).
Garrard, P., Hodges, J.R., Howard, D., Lambon Ralph, M.A., Powell, J., Whitworth, A.B.   +5 more
core  

Retrieval from memory: Vulnerable or inviolable? [PDF]

, 2012
We show that retrieval from semantic memory is vulnerable even to the mere presence of speech. Irrelevant speech impairs semantic fluency—namely, lexical retrieval cued by a semantic category name—but only if it is meaningful (forward speech compared to ...
Hughes, Robert W., Jones, Dylan M., Marsh, John E.   +2 more
core   +1 more source

Named Entity Recognition Models for Machine Learning Interatomic Potentials: A User‐Centric Approach to Knowledge Extraction from Scientific Literature

Advanced Intelligent Discovery, EarlyView.
Named entity recognition pipeline for knowledge extraction from scientific literature. Machine learning interatomic potential (MLIP) is an emerging technique that has helped achieve molecular dynamics simulations with unprecedented balance between efficiency and accuracy. Recently, the body of MLIP literature has been growing rapidly, which propels the
Bowen Zheng, Grace X. Gu
wiley   +1 more source

Deficits of knowledge versus executive control in semantic cognition: Insights from cued naming [PDF]

, 2007
Deficits of semantic cognition in semantic dementia and in aphasia consequent on CVA (stroke) are qualitatively different. Patients with semantic dementia are characterised by progressive degradation of central semantic representations, whereas ...
Baayen, Berthier, Bozeat, Burgess, Burgess, Chertkow, Crutch, Damasio, Damasio, Dell, Dell, Demb, Elizabeth Jefferies, Folstein, Forde, Foygel, Funnell, Gloor, Gold, Goodglass, Graham, Hart, Hodges, Howard, Jefferies, Jefferies, Jefferies, Jefferies, Kaplan, Karalyn Patterson, Kay, Lambon Ralph, Lambon Ralph, Lambon Ralph, Lambon Ralph, Martin, Matthew A. Lambon Ralph, Milner, Mummery, Myers Pease, Nestor, Parker, Patterson, Peers, Podraza, Raven, Robertson, Robinson, Robinson, Rogers, Saffran, Saygin, Schwartz, Snodgrass, Snowden, Stuss, Thompson-Schill, Thompson-Schill, Wagner, Warrington, Warrington, Wechsler, Wernicke   +62 more
core   +3 more sources

Autonomous Machine Learning‐Based Classification and Arrangement of Submillimeter Objects Using a Capillary Force Gripper

Advanced Intelligent Discovery, EarlyView.
This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando, Naoto Watanabe, Chihiro Sekine, Shogen Sekiguchi, Ohmi Fuchiwaki   +4 more
wiley   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Episodic and semantic memory impairments in (very) early Alzheimer’s disease: The diagnostic accuracy of paired-associate learning formats

Cogent Psychology, 2016
Paired-associate learning (PAL) paradigms measure memory processes sensitive to the medial temporal lobe, which shows atrophy in early Alzheimer’s disease (AD).
Pauline E.J. Spaan
doaj   +1 more source