Article
Neurosciences
Juan Carlos Cejudo, Melissa Samaniego, Marta Almeria, Susana Castrillo, Lidia Medina, Domenec Gil
Summary: This study aimed to create, validate, and normalize a new test called the Ikos test for assessing semantic memory (SM) in Alzheimer's disease (AD) and early AD. The test showed high correlation indexes and met the criteria of validity and reliability. It can be considered a valid and reliable tool for SM assessment in diagnosing AD and the early stages of clinical disease.
JOURNAL OF ALZHEIMERS DISEASE
(2022)
Article
Computer Science, Artificial Intelligence
Jing Li, Yihao Lu, Nanyan Shen, Jiangchuan Fan, Hui Qian
Summary: This paper proposes a knowledge-based method for tool path planning to automatically plan the tool path that meets the requirements of the machining process by adaptive process decision-making according to the perceived features of complex workpiece. The test results verify the effectiveness of the proposed method.
EXPERT SYSTEMS WITH APPLICATIONS
(2022)
Article
Behavioral Sciences
Mariana Vega-Mendoza, Martin J. Pickering, Mante S. Nieuwland
Summary: The study found that animacy information is not prioritized over real-world event-knowledge in sentence comprehension, but instead there is an interactive relationship between animacy and relatedness in incremental semantic processing.
Article
Computer Science, Artificial Intelligence
Sangeeta Sen, Devashish Katoriya, Animesh Dutta, Biswanath Dutta
Summary: The proposed RDFM method in this study effectively represents, stores, and manages meta-knowledge with lesser statement generation and advantages in storage and graph data management.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Psychology, Experimental
Cynthia S. Q. Siew, Anutra Guru
Summary: In this study, cognitive scientists used the semantic fluency task and network analysis to explore the differences in knowledge structures between experts and novices in academic subjects. The results revealed that experts had more efficient and less modular semantic networks. This suggests that the semantic fluency task can be used to study the representation of specific domains of knowledge.
MEMORY & COGNITION
(2023)
Article
Computer Science, Information Systems
Qing Huang, Zhiqiang Yuan, Zhenchang Xing, Zhengkang Zuo, Changjing Wang, Xin Xia
Summary: This article introduces the need for both API reference (know-what) knowledge and programming task (know-how) knowledge in software programming and proposes a fusion of API-KG and Task-KG to construct an API-Task knowledge graph. The study confirms the necessity of combining both types of knowledge to answer API usage problems. The fused and semantically-enriched API-Task KG supports coherent API/Task-centric knowledge search.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Neurosciences
Giovanni Federico, Francois Osiurak, Emanuelle Reynaud, Maria A. Brandimonte
Summary: This study investigated how semantically congruent and incongruent words influenced participants' visual exploration of tools. The results showed participants' temporal allocation of visuospatial attention varied depending on the object-word consistency, supporting the action reappraisal approach. Participants tended to focus on tools' manipulation areas under congruent conditions and on functional areas under incongruent conditions.
BRAIN AND COGNITION
(2021)
Article
Automation & Control Systems
Yang Duan, Li Hou, Song Leng
Summary: This paper presents a novel tool selection approach that deeply mines the relationships in data of metal cutting processes, using a personalized PageRank algorithm to recommend cutting tools. A cutting tool selection system based on .NET MVC is developed as a result.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
(2021)
Article
Behavioral Sciences
Michele Scandola, Valeria Gobbetto, Sara Bertagnoli, Cristina Bulgarelli, Loredana Canzano, Salvatore Maria Aglioti, Valentina Moro
Summary: Erroneous gesture execution is a key factor in motor cognition difficulties in apraxia. This study aimed to identify error categories that differentiate apraxic from non-apraxic patients. The findings suggest that bucco-facial and mixed apraxic patients make different types of errors in different types of actions, and not all errors are equally indicative of apraxia, with various error categories associated with different neural correlates.
Article
Computer Science, Information Systems
Francisco Abad-Navarro, Catalina Martinez-Costa, Jesualdo Tomas Fernandez-Breis
Summary: The Semantic Web technologies make data easily readable by computer agents, enabling the automation of complex tasks and facilitating data integration. The approach of Semankey automatically builds SPARQL queries from user-entered keywords by identifying semantic entities and applying query size-based heuristics. The use of query filters and generation of multiple SPARQL queries based on different interpretations of the input according to a domain ontology are the main contributions of Semankey.
Article
Chemistry, Multidisciplinary
Eleonora Bernasconi, Davide Di Pierro, Domenico Redavid, Stefano Ferilli
Summary: This paper introduces SKATEBOARD, a tool designed to facilitate knowledge exploration through semantic technologies. It provides users with a clear view of data relationships and dependencies using graph-based exploration and integrates recommendation systems and reasoning capabilities to enhance knowledge discovery. By empowering users to make informed decisions and uncover valuable insights, SKATEBOARD introduces a serendipity effect through its interface exploration.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Artificial Intelligence
Danpei Zhao, Bo Yuan, Zhenwei Shi
Summary: This paper proposes a method to address the problem of class incremental semantic segmentation without using exemplar memory. The method resolves catastrophic forgetting and semantic drift through dense knowledge distillation and asymmetric region-wise contrastive learning. The proposed method demonstrates effectiveness and superior anti-forgetting ability on multiple tasks.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
(2023)
Article
Cardiac & Cardiovascular Systems
Matteo Matteucci, Mariusz Kowalewski, Michele De Bonis, Francesco Formica, Federica Jiritano, Dario Fina, Paolo Meani, Thierry Folliguet, Nikolaos Bonaros, Sandro Sponga, Piotr Suwalski, Andrea De Martino, Theodor Fischlein, Giovanni Troise, Guglielmo Actis Dato, Giuseppe Filiberto Serraino, Shabir Hussain Shah, Roberto Scrofani, Carlo Antona, Antonio Fiore, Jurij Matija Kalisnik, Stefano D'Alessandro, Emmanuel Villa, Vittoria Lodo, Andrea Colli, Ibrahim Aldobayyan, Giulio Massimi, Cinzia Trumello, Cesare Beghi, Roberto Lorusso
Summary: This study reviewed multicenter experience with surgical management of post-infarction LVFWR and analyzed early outcomes. The operative mortality rate was 36.4% with low cardiac output syndrome as the main cause of perioperative death. Multivariable analysis identified female sex, preoperative left ventricular ejection fraction, cardiac arrest, and extra-corporeal life support as independent predictors of operative mortality.
ANNALS OF THORACIC SURGERY
(2021)
Article
Biology
Shaotong Zhu, Sarah Ismail Hosni, Xiaofei Huang, Michael Wan, Seyyed Bahram Borgheai, John McLinden, Yalda Shahriari, Sarah Ostadabbas
Summary: Graph theoretic approaches for studying brain dynamics have great potential for developing effective brain-computer interfaces (BCIs), but they have not been well-explored. This study presented a robust hyperparameter optimization framework that combined conventional graph-based measurements with spectral graph features for mental task classification. The results demonstrated the feasibility and advantages of using graph-based features in BCI systems, achieving higher accuracy and robustness compared to non-graph based features.
COMPUTERS IN BIOLOGY AND MEDICINE
(2023)
Article
Neurosciences
Casey M. Imperio, Elizabeth F. Chua
Summary: This study investigates the effects of High Definition transcranial Direct Current Stimulation (HD-tDCS) on memory and metamemory, and finds that HD-tDCS has positive effects on cued recall tasks and subjective once-knew-it ratings, but has no significant improvement on other memory tasks and aspects of metamemory.
Article
Psychology, Experimental
Giovanni Federico, Francois Osiurak, Maria Antonella Brandimonte, Marco Salvatore, Carlo Cavaliere
Summary: This study investigated the visual encoding modalities of participants in a free-observation task using eye-tracking. The results showed that participants allocated their visual-spatial attention differently to the manipulation and functional areas of objects over time. The repetition of stimuli significantly decreased attention to the functional areas, while attention to the manipulation areas remained stable.
PSYCHOLOGICAL RESEARCH-PSYCHOLOGISCHE FORSCHUNG
(2023)
Review
Behavioral Sciences
Francois Osiurak, Nicolas Claidiere, Giovanni Federico
Summary: The prevailing belief in cumulative technological culture is that high-fidelity transmission relies on the ability to accurately copy tool-use actions without understanding them. This article challenges the distinction between copying and reasoning by examining the cognitive science literature on tool use. Evidence suggests that reproducing others' tool-use actions actually requires causal understanding, thus casting doubt on the cognitive reality of the so-called copying ability. The authors suggest that considering causal understanding as a key driver of cumulative technological culture could lead to new insights.
TRENDS IN COGNITIVE SCIENCES
(2023)
Article
Behavioral Sciences
Giovanni Federico, Carlo Cavaliere, Emanuelle Reynaud, Marco Salvatore, Maria Antonella Brandimonte, Francois Osiurak
Summary: The research indicates that technical reasoning may support the development of tools and technologies. The cortical thickness of the left Area Prostriata of the visual cortex, along with the left Area PF, predicts technical reasoning performance.
BEHAVIORAL AND BRAIN FUNCTIONS
(2022)
Article
Neurosciences
Mathieu Lesourd, Emanuelle Reynaud, Jordan Navarro, Vivien Gaujoux, Alexandrine Faye-Vedrines, Boris Alexandre, Josselin Baumard, Giovanni Federico, Franck Lamberton, Danielle Ibarrola, Yves Rossetti, Francois Osiurak
Summary: Our ability to interact with familiar objects is supported by conceptual tool knowledge. The ventro-dorsal and ventral pathways support action tool and semantic tool knowledge. However, recent studies have started to question this functional segregation. By conducting an fMRI study, we found that the lateral occipitotemporal cortex in the ventral pathway is more sensitive to manipulation and function judgment tasks than association judgment tasks. In addition, our functional connectivity analysis revealed distinct coupling patterns between different brain regions involved in tool processing.
Article
Neurosciences
Mathieu Lesourd, Alia Afyouni, Franziska Geringswald, Fabien Cignetti, Lisa Raoul, Julien Sein, Bruno Nazarian, Jean-Luc Anton, Marie-Helene Grosbras
Summary: The human action observation network (AON) is engaged when observing other's actions, and it is not known to what extent it is sensitive to different action features during development. In this study, both adolescents and adults were scanned using fMRI while watching videos of actions varying in sociality and transitivity. The results showed that the AON responded similarly in both groups, but adolescents had lower decoding accuracies for sociality and transitivity in certain brain regions. These findings suggest that the adolescent AON is not as robust in representing the social dimension of others' actions as in adults.
JOURNAL OF NEUROSCIENCE
(2023)
Letter
Behavioral Sciences
Francois Osiurak, Giovanni Federico, Nicolas Claidiere
TRENDS IN COGNITIVE SCIENCES
(2023)
Article
Psychology
Alexandrine Faye, Francois Osiurak, Mathieu Lesourd, Salem Hannoun, Francois Cotton, Jeremy Besnard, Sophie Jacquin-Courtois
Summary: This study tested the main prediction of ATOM by examining right brain-damaged patients, left brain-damaged patients, and healthy subjects on different magnitude estimation tasks. Contrary to the prediction, the results showed partial independence between the different forms of magnitude estimation processing.
NEUROPSYCHOLOGICAL TRENDS
(2022)
Article
Neurosciences
Francois Osiurak, Ludovic Delporte, Patrice Revol, Livia Melgar, Aurele Robert de Beauchamp, Francois Quesque, Yves Rossetti
Summary: Through kinematic analyses, researchers found that the exaggeration of amplitude during pantomime is related to social cognitive processes, but not necessary. This suggests that the communicative function of pantomime is more important than cognitive processes.
BRAIN AND COGNITION
(2023)
Article
Clinical Neurology
Francesco Cavallieri, Annalisa Gessani, Andrea Merlo, Isabella Campanini, Carla Budriesi, Valentina Fioravanti, Giulia Di Rauso, Alberto Feletti, Benedetta Damiano, Sara Scaltriti, Noemi Guagnano, Elisa Bardi, Maria Giulia Corni, Francesca Antonelli, Francesca Cavalleri, Maria Angela Molinari, Sara Contardi, Elisa Menozzi, Annette Puzzolante, Giuseppe Vannozzi, Elena Bergamini, Giacomo Pavesi, Valerie Fraix, Sara Meoni, Alessandro Fraternali, Annibale Versari, Mirco Lusuardi, Giuseppe Biagini, Serge Pinto, Elena Moro, Franco Valzania
Summary: This study evaluates correlations between speech and gait parameters in advanced Parkinson's disease patients under different medication and subthalamic nucleus deep brain stimulation conditions. The results show that patients who spoke louder had greater trunk acceleration during gait, and patients with poorer voice quality performed worse in the sit to stand and gait phases of the iTUG. Conversely, patients with higher speech rate performed well in the turning and walking phases of the iTUG.
EUROPEAN JOURNAL OF NEUROLOGY
(2023)
Editorial Material
Biology
Francois Osiurak, Nicolas Claidiere, Giovanni Federico
PHYSICS OF LIFE REVIEWS
(2023)
Article
Psychology, Clinical
Josselin Baumard, Mathieu Lesourd, Chrystelle Remigereau, Christophe Jarry, Samuel Lebaz, Frederique Etcharry-Bouyx, Valerie Chauvire, Francois Osiurak, Didier Le Gall
Summary: Objective Apraxia is the inability to perform voluntary, skilled movements following brain lesions, in the absence of sensory integration deficits. This study aimed to examine the associations and dissociations between apraxia and sensory integration in patients with neurodegenerative diseases (ND). The results showed a significant association between apraxia and sensory integration deficits, and controlling for sensory integration decreased the frequency of apraxia in some clinical subgroups. Clinicians and researchers should consider evaluating sensory integration measures in addition to assessing apraxia.
ARCHIVES OF CLINICAL NEUROPSYCHOLOGY
(2023)
Article
Psychology, Multidisciplinary
Vivien Gaujoux, Emanuelle Reynaud, Richard Palluel-Germain, Guillaume T. Vallet, Jordan Navarro, Francois Osiurak
Summary: Media multitasking raises questions about the general tendency and cognitive impact. Contrary to assumptions, our study found that the amount of media multitasking does not correlate with task switching frequency, indicating situational factors play a larger role. Interestingly, higher media consumption was associated with better performance on non-digital tasks. This study emphasizes the importance of assessing predictors of organization when facing multiple tasks.
ANNEE PSYCHOLOGIQUE
(2023)
Article
Biology
Giovanni Federico, Francois Osiurak, Giuseppina Ciccarelli, Ciro Rosario Ilardi, Carlo Cavaliere, Liberatore Tramontano, Vincenzo Alfano, Miriana Migliaccio, Angelica Di Cecca, Marco Salvatore, Maria Antonella Brandimonte
Summary: This fMRI study explores the neural mechanisms by which the human brain integrates semantic and mechanical knowledge to understand tool-related actions. The findings suggest that tool-related action understanding is a combination of semantic and mechanical knowledge, with the left inferior parietal and anterior temporal lobes playing important roles in physical/conceptual processing, respectively.
COMMUNICATIONS BIOLOGY
(2023)