Results 181 to 190 of about 1,664,752 (345)

Impairment in color recall and recognition in aphasics. Investigation using coloring drawings test.

, 1988
大野 恭子, 浦上 郁子, 神取 由美子, 朝田 真理, 西川 隆, 田伏 薫, 柏木 敏宏   +6 more
openalex   +2 more sources

O1–05–06: Free and Cued Recall Test in memory clinics: A good predictor of conversion to AD or a marker of prodromal AD ? [PDF]

, 2006
Claudine Berr, Marie Sarazin, Colette Fabrigoule, B. Michel, Jocelyne de Rotrou, Michèle Puel, Marc Verny, Sylvie Legrain, Jacques Touchon, Bruno Dubois, French PreAl study group   +10 more
openalex   +1 more source

M77. USE OF TESTING TO IMPROVE LONG-TERM MEMORY RECALL IN PEOPLE WITH PSYCHOSIS [PDF]

, 2020
J. Daniel Ragland, Xionan Liu, Ashley B. Williams, Cameron Carter, Tara A. Niendam, Laura M. Tully, Charan Ranganath   +6 more
openalex   +1 more source

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

Advanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Test for recall rates of VExtractor and SemanticVExtractor algorithms as compared to the gold standard

, 2015
Romano Joseph
openalex   +1 more source

Associations supporting items gained and maintained across recall tests

, 2022
Lynn J. Lohnas
openalex   +2 more sources

Electronic Nose for Indoor Mold Detection and Identification

Advanced Sensor Research, EarlyView.
This study explores the potential of a SnO2 nanowire‐based chemiresistive electronic nose not only to detect but also to identify two common indoor mold species, Stachybotrys chartarum and Chaetomium globosum on two different growth substrates. In a laboratory setup, the electronic nose displays high classification performance using optimized linear ...
Hankun Yang, Martin Sommer, Stephanie Bauer, Uli Lemmer   +3 more
wiley   +1 more source

Alpha-Band Dynamics of Hearing Aid Wearers Performing the Repeat-Recall Test (RRT). [PDF]

Trends Hear
Slugocki C, Kuk F, Korhonen P.
europepmc   +1 more source

First‐Principles Structure–Activity Relationship Insights Into Phenolic Scaffolds: QSAR Modeling and Drug‐Likeness Screening

Advanced Theory and Simulations, EarlyView.
Integrated machine learning framework for phenolic derivatives: classification (toxicity) and regression (logP) models identify top drug‐like compounds. Random Forest outperformed for toxicity, while Linear Regression best predicted logP. A weighted scoring approach prioritized five safe, lipophilicity‐optimized candidates, supporting rational ...
Houria Nacer, Sridhar Priyankha, Gopal Hema, Anouar Zerouali, Hamza Haddag, Muneerah Mogren Al Mogren, Muthuramalingam Prakash, Majdi Hochlaf   +7 more
wiley   +1 more source

Result of NASA-TLX and Recall test.

Fatemeh Shahnabati (22755752), Atefeh Sabourifard (22755755), S. Hamid Amiri (13183299), Alireza Bosaghzadeh (13183302), Reza Ebrahimpour (319430)   +4 more
openalex   +1 more source