Results 131 to 140 of about 691,244 (270)

Semantic neighborhood effects in verbal fluency. [PDF]

, 2005
Successful performance on verbal fluency tasks is dependent upon systematic search and retrieval from the lexicon and the semantic organization of memory stores.
Blake, Treena
core   +1 more source

The importance of response times measures in verbal fluency tasks

Ψυχολογία: το Περιοδικό της Ελληνικής Ψυχολογικής Εταιρείας
  Verbal fluency is a commonly used task in clinical and experimental neuropsychology. It assesses a person’s ability to generate relevant words, according to a given category within a limited amount of time.
Emilia Orologa, Georgios Chatzopoulos, Dimitrios Nikolaidis, Mary Kosmidis, Hariklia Proios   +4 more
doaj   +1 more source

Semantic fluency in schizophrenia

European Psychiatry, 2007
C.A. Popescu, I.V. Miclutia, R. Macrea, I. Craciun, A. Zaharia   +4 more
openaire   +1 more source

A Generalizable Framework for Building Executable Domain‐Specific Large Language Models Under Data Scarcity: Demonstration on Semiconductor Technology Computer‐Aided Design Simulation

Advanced Intelligent Systems, EarlyView.
A schema‐first alignment framework builds compact, executable domain‐specific language models under data scarcity. Large‐scale synthetic question‐answer generation instills domain knowledge, and a code‐centric IR‐to‐DPO pipeline aligns generation with tool‐executable syntax.
Di Wang, Zhenhua Wu, Yu Liu, Kai Chang, Shaohua Wu   +4 more
wiley   +1 more source

Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers

Advanced Intelligent Systems, EarlyView.
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley   +1 more source

LLM‐Based Multimodal Robotic Endoscope Control Framework for Enhancing Human–Robot Interaction in Minimally Invasive Surgery

Advanced Intelligent Systems, EarlyView.
An large language model‐powered multimodal framework is developed for robotic endoscope control. It integrates speech recognition and real‐time instrument tracking, achieving 89.47% command accuracy with ~1s latency for natural human–robot interaction in minimally invasive surgery.
Yisen Huang, Wing Yin Ng, Qi Dou, Xixin Wu, Shannon Melissa Chan, Yunhui Liu, Philip Wai Yan Chiu, Zheng Li   +7 more
wiley   +1 more source

Graph Theoretical Analysis of Semantic Fluency in Patients with Parkinson's Disease. [PDF]

Behav Neurol, 2022
Zhang G, Ma J, Chan P, Ye Z.
europepmc   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Normative data for highly educated older adults in phonemic and semantic fluency tests. [PDF]

Dement Neuropsychol, 2023
de Azevedo JP, de Almondes KM.
europepmc   +1 more source

Translation and Cross‐Cultural Adaptation of the Chronic Rhinosinusitis Control Test for Global Use

International Forum of Allergy &Rhinology, EarlyView.
ABSTRACT Introduction The Chronic Rhinosinusitis Control Test (CRCT) is a patient‐reported outcome measure (PROM) written in English that is psychometrically validated to measure chronic rhinosinusitis control. Because the availability of translated PROMs is a driver of data equity—collection of data that is fair and generally representative—our ...
Hye K. Pae, Detong Xia, Hanzhong Sun, Yudi Chen, Kwangoh Yi, Minjeong Song, Eriko Sato, Ali R. Abasi, Jody Ballah, Anna Babarczy, Raymond Bertram, Agnieszka Biernacka, Mable Chan, Teresa Civera, Irina Dubinina, Doğu Erdener, María Isabel Maldonado García, Ali Garib, Tuomo Häikiö, Fuk‐chuen HO, Li‐Yu Hung, R. Malatesha Joshi, Oksana Kanerva, Kiranpreet Kaur Baath, Björn Köhnlein, Dalibor Kučera, Paula Luegi, Yustinus Calvin Gai Mali, Sivan Medina, Stefan Milosavljević, Amna Mirza, Mohamed Y. Mwamzandi, Fatemeh Nami, Anabella‐Gloria Niculescu‐Gorpin, Portia Padilla, Georgia Panayiotou, Manuel Perea, Luciano Perondi, Hiển Phạm, Rasmus Puggaard‐Rode, Anurag Rimzhim, Sreeparna Sarkar, David L. Share, Gláucia V. Silva, Antônio R. M. Simões, Charlotte Stormbom, Titima Suthiwan, Katsuo Tamaoka, Mila Tasseva‐Kurktchieva, Paweł Urbanik, An Van, Katie M. Phillips, Ahmad R. Sedaghat   +52 more
wiley   +1 more source