Results 51 to 60 of about 350,580 (291)
THE IMPLEMENTATION OF SEMANTIC MAPPING TOIMPROVE VOCABULARY OF THE EIGHTH YEAR STUDENTS OF SMP NEGERI 8 MALANG IN READING COMPREHENSION [PDF]
This research aimed at studying the implementation of semantic mapping to improve vocabulary of the eight year students of SMP Negeri 8 Malang in reading comprehension.
SUKMANA AGUSTIA, ELWARDATI
core
A semantic map is a method for visually representing cross-linguistic regularity or universality in semantic structure. This method has proved attractive to typologists because it provides a convenient graphical display of the interrelationships between meanings or functions across languages, while (at the same time) differentiating what is universal ...
openaire +1 more source
On Capturing Semantics in Ontology Mapping [PDF]
Semantic interoperability between disparate systems in open, distributed environments has become the quest of many practitioners in a variety of fields. One way to achieve such a goal is through ontology mapping. The perspective users of such technology, however, are faced with a number of challenges including ambiguity of the meaning of mappings ...
Bo Hu, Bin Hu
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Memory and Resting‐State Connectivity in Acute Transient Global Amnesia: A Case–Control fMRI Study
ABSTRACT Background and Objectives Transient global amnesia (TGA) is a striking model of isolated amnesia. While hippocampal lesions are well described, the network‐level mechanisms and the precise neuropsychological profile remain debated. Our objective was thus to characterize functional and neuropsychological correlates of acute TGA and their ...
Elias El Otmani +10 more
wiley +1 more source
Problematic Internet Use in Frontotemporal Dementia: A Case Series
ABSTRACT The present study investigated problematic internet use (PIU) among 61 patients with frontotemporal dementia (FTD) compared to a cohort of 354 patients with mild cognitive impairment (MCI) and Alzheimer's dementia. PIU was identified in 22.9% of FTD patients compared to only 0.8% of AD patients (p < 0.001). Behaviors included compulsive social
Daniele Urso +9 more
wiley +1 more source
Screening Routine Clinical Notes for Epilepsy Surgery Candidates Using Large Language Models
ABSTRACT Objective Epilepsy surgery is severely underutilized despite proven efficacy, with substantial under‐referral of eligible patients in routine clinical practice. This study evaluated the potential role of large language models (LLMs) as decision‐support tools for screening unstructured clinical notes to identify epilepsy surgery candidates and ...
Uriel Fennig +9 more
wiley +1 more source
Extended Blahut–Arimoto Algorithm for Semantic Rate-Distortion Function
Semantic communication has recently gained significant attention in theoretical analysis due to its potential to improve communication efficiency by focusing on meaning rather than exact signal reconstruction. In this paper, we extend the Blahut–Arimoto (
Yuxin Han +6 more
doaj +1 more source
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
The increasing complexity of autonomous navigation environments has necessitated the integration of multi-sensor data into Simultaneous Localisation and Mapping (SLAM) algorithms, as reliance on single-sensor data has proven insufficient. Recent research
Ning Chen +3 more
doaj +1 more source
Our study introduces a novel approach that combined probabilistic logic and multimodal spatial concepts to enable a robot to efficiently acquire place–object relationships in a new home environment with few learning iterations.
Shoichi Hasegawa +4 more
doaj +1 more source

