... underexplored. This study addresses this gap by examining the effects of loneliness on semantic retrieval in healthy older adults. Using event-related potentials, we measured participants’ neural responses as they verified category membership across three conditions: high typicality, low typicality...

... properties, the separation of molecules becomes inaccurate and tricky. This results in inconsistent semantics among the invariant substructures identified by existing models, which means molecules sharing identical invariant structures may exhibit drastically different properties. Focusing...

... between author and narrator in German-language literary criticism, an area largely unexplored by quantitative methods. While narratologists often distinguish between a fictional narrator and the author, the practical adoption of this distinction by readers remains under-examined. We hypothesize a semantic...

... of this mapping is to semantically enrich laboratory data of a population-based cohort study, to achieve better compliance with the FAIR principles for data stewardship. 4. Map direction Source to target: Unidirectional 5. Scope of the source codes Include SHIP-START-4 laboratory codes that depict...

...) and semantic (intact) memory. However, this could be explained by the limitations of metacognitive measures and/or memory differences. We aimed to test these dissociations of metacognition with aging by comparing metacognitive efficiency in episodic and semantic tasks using two types of judgment: retrospective...

... distinctions may be linked to documented brain structural changes (e.g., prefrontal cortex-hippocampus-cerebellum) and proposes the hypothesis of semantic and procedural memory impairments in BD patients. Methods The study was conducted in two stages for analysis. In Stage 1, the Serial Reaction Time Task...

... changes are a central feature of frontotemporal dementia (FTD); they occur in both behavioural-variant (bvFTD) and semantic dementia (SD)/semantic-variant primary progressive aphasia subtypes. In this study, we addressed two current clinical knowledge gaps; (i) are there qualitative or clear distinctions...

... distinct layers: a dorsal layer, which supports control based on perceptual features, and a ventral layer, which is engaged in control of conceptual content. brain mapping IFOF white matter stimulation cognition semantic control social-semantic control Epilepsy Research Institute UK F2403...

... Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract Objective The relationship between perseveration and switching in semantic verbal fluency tasks and the possible role of self-generated interference one must overcome before switching back to a previously visited...

...-powered patient self-management in epilepsy and can be generalized to other chronic conditions. epilepsy self-management semantic web systems analysis social media data visualization National Institutes of Health 10.13039/100000002 1R01LM012832 The chronic health disorder epilepsy affects more...

... search intents (target-finding and decision-making scenarios), nor have they focused on research that helps pair various elements of a user's EHS. Therefore, we introduce CMLsearch: a semantic visual search system that segments Colour, Material, and Lighting (CML), and includes light correlated colour...

.../licenses/by/4.0/ ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Abstract We investigated semantic cognition in the logopenic variant of primary progressive aphasia, including (i) the status of verbal and non-verbal semantic...

...:https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract Salient emotional visual cues receive prioritized processing in human visual cortex. To what extent emotional facilitation relies on preattentional stimulus processing preceding semantic analysis remains controversial. Making use of steady-state...

... the route planning of Unmanned Aerial Vehicles (UAVs) through Deep Reinforcement Learning, integrated with advanced image processing and control strategies. We employ ResNet-50 for target detection and DeepLabV3+ for semantic segmentation to improve environmental feature recognition. Furthermore, a Deep Q...

... investigated (e.g. acoustic/prosodic, lexico-semantic, morpho-syntactic and pragmatic/discourse) and subsequently quantified (e.g. speech rate, syllable duration, words per minute and psycholinguistic word properties) in connected speech analyses. However, transcription and quantification of speech properties...

... through our RightsLink service via the Permissions link on the article page on our site–for further information please contact [email protected]. Abstract It has been argued that semantic systems reflect pressure for efficiency, and a current debate concerns the cultural evolutionary process...

..., Standard Journals Publication Model ( https://dbpia.nl.go.kr/pages/standard-publication-reuse-rights ) Abstract The vision underlying the development of the Semantic Web is that the whole complex of our knowledge forms a huge semantic network, which should be represented and made explicit by means...

... extraction, and information fusion. We also propose a foreground probability map module, which uses the feature maps in the segmentation network to pre-estimate the foreground probabilities of each pixel and obtain Semantic Guided Matting Net. Under the condition that only a single image is needed...

.... A literature review was conducted to identify different types of concepts that have been deemed ‘social’ in past studies, meaning that the battery included a diverse set of tasks (described in detailbelow). Where possible, ‘non-social’ comparator tasks were included for each social-semantic task, matched...

... the linguistic and semantic contexts of words or sentences susceptible of expressing a challenge. This was mainly done through a codification process. Codification is defined as a form of data reduction starting from a large volume of information and aiming to segment certain fragments of the information...