Titre : Calicules gustatifs

Calicules gustatifs : Questions médicales fréquentes

Termes MeSH sélectionnés :

Attention Deficit Disorder with Hyperactivity
{ "@context": "https://schema.org", "@graph": [ { "@type": "MedicalWebPage", "name": "Calicules gustatifs : Questions médicales les plus fréquentes", "headline": "Calicules gustatifs : Comprendre les symptômes, diagnostics et traitements", "description": "Guide complet et accessible sur les Calicules gustatifs : explications, diagnostics, traitements et prévention. Information médicale validée destinée aux patients.", "datePublished": "2024-05-02", "dateModified": "2025-04-27", "inLanguage": "fr", "medicalAudience": [ { "@type": "MedicalAudience", "name": "Grand public", "audienceType": "Patient", "healthCondition": { "@type": "MedicalCondition", "name": "Calicules gustatifs" }, "suggestedMinAge": 18, "suggestedGender": "unisex" }, { "@type": "MedicalAudience", "name": "Médecins", "audienceType": "Physician", "geographicArea": { "@type": "AdministrativeArea", "name": "France" } }, { "@type": "MedicalAudience", "name": "Chercheurs", "audienceType": "Researcher", "geographicArea": { "@type": "AdministrativeArea", "name": "International" } } ], "reviewedBy": { "@type": "Person", "name": "Dr Olivier Menir", "jobTitle": "Expert en Médecine", "description": "Expert en Médecine, Optimisation des Parcours de Soins et Révision Médicale", "url": "/static/pages/docteur-olivier-menir.html", "alumniOf": { "@type": "EducationalOrganization", "name": "Université Paris Descartes" } }, "isPartOf": { "@type": "MedicalWebPage", "name": "Langue", "url": "https://questionsmedicales.fr/mesh/D014059", "about": { "@type": "MedicalCondition", "name": "Langue", "code": { "@type": "MedicalCode", "code": "D014059", "codingSystem": "MeSH" }, "identifier": { "@type": "PropertyValue", "propertyID": "MeSH Tree", "value": "A14.549.885" } } }, "about": { "@type": "MedicalCondition", "name": "Calicules gustatifs", "alternateName": "Taste Buds", "code": { "@type": "MedicalCode", "code": "D013650", "codingSystem": "MeSH" } }, "author": [ { "@type": "Person", "name": "Thomas E Finger", "url": "https://questionsmedicales.fr/author/Thomas%20E%20Finger", "affiliation": { "@type": "Organization", "name": "Rocky Mountain Taste and Smell Center, University of Colorado School of Medicine, CU Anschutz Medical Campus, Aurora, Colorado 80045 tom.finger@cuanschutz.edu." } }, { "@type": "Person", "name": "Hong-Xiang Liu", "url": "https://questionsmedicales.fr/author/Hong-Xiang%20Liu", "affiliation": { "@type": "Organization", "name": "Regenerative Bioscience Center, Department of Animal and Dairy Science, College of Agricultural and Environmental Sciences, University of Georgia, Athens, GA, USA. Electronic address: lhx@uga.edu." } }, { "@type": "Person", "name": "Yuta Yoshida", "url": "https://questionsmedicales.fr/author/Yuta%20Yoshida", "affiliation": { "@type": "Organization", "name": "Regenerative Bioscience Center, University of Georgia, Athens, GA, USA; Department of Animal and Dairy Science, College of Agricultural and Environmental Sciences, University of Georgia, Athens, GA, USA; Laboratory of Functional Anatomy, Faculty of Agriculture, Kyushu University, Fukuoka, Japan." } }, { "@type": "Person", "name": "Fuminori Kawabata", "url": "https://questionsmedicales.fr/author/Fuminori%20Kawabata", "affiliation": { "@type": "Organization", "name": "Faculty of Agriculture and Life Science, Hirosaki University, Hirosaki, Japan." } }, { "@type": "Person", "name": "Shoji Tabata", "url": "https://questionsmedicales.fr/author/Shoji%20Tabata", "affiliation": { "@type": "Organization", "name": "Laboratory of Functional Anatomy, Faculty of Agriculture, Kyushu University, Fukuoka, Japan." } } ], "citation": [ { "@type": "ScholarlyArticle", "name": "Young adults' visual attention to features of social media marketing for disposable e-cigarettes and associated perceptions.", "datePublished": "2024-06-23", "url": "https://questionsmedicales.fr/article/38923723", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1111/add.16586" } }, { "@type": "ScholarlyArticle", "name": "Features of attention network impairment in patients with temporal lobe epilepsy: Evidence from eye-tracking and electroencephalogram.", "datePublished": "2024-06-19", "url": "https://questionsmedicales.fr/article/38905916", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1016/j.yebeh.2024.109887" } }, { "@type": "ScholarlyArticle", "name": "Modifiable factors influencing attention performance in healthy children: insights from a comprehensive school nutrition study.", "datePublished": "2024-06-19", "url": "https://questionsmedicales.fr/article/38898432", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1186/s12889-024-19059-8" } }, { "@type": "ScholarlyArticle", "name": "Robotic Warshaw technique with special attention to prevent postoperative splenic infarction preserving splenic blood flow.", "datePublished": "2024-06-18", "url": "https://questionsmedicales.fr/article/38888090", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1002/jhbp.12007" } }, { "@type": "ScholarlyArticle", "name": "Facial Video-Based Non-Contact Stress Recognition Utilizing Multi-Task Learning With Peak Attention.", "datePublished": "2024-06-11", "url": "https://questionsmedicales.fr/article/38861440", "identifier": { "@type": "PropertyValue", "propertyID": "DOI", "value": "10.1109/JBHI.2024.3412103" } } ], "breadcrumb": { "@type": "BreadcrumbList", "itemListElement": [ { "@type": "ListItem", "position": 1, "name": "questionsmedicales.fr", "item": "https://questionsmedicales.fr" }, { "@type": "ListItem", "position": 2, "name": "Système stomatognathique", "item": "https://questionsmedicales.fr/mesh/D013284" }, { "@type": "ListItem", "position": 3, "name": "Bouche", "item": "https://questionsmedicales.fr/mesh/D009055" }, { "@type": "ListItem", "position": 4, "name": "Langue", "item": "https://questionsmedicales.fr/mesh/D014059" }, { "@type": "ListItem", "position": 5, "name": "Calicules gustatifs", "item": "https://questionsmedicales.fr/mesh/D013650" } ] } }, { "@type": "MedicalWebPage", "name": "Article complet : Calicules gustatifs - Questions et réponses", "headline": "Questions et réponses médicales fréquentes sur Calicules gustatifs", "description": "Une compilation de questions et réponses structurées, validées par des experts médicaux.", "datePublished": "2025-05-14", "inLanguage": "fr", "hasPart": [ { "@type": "MedicalWebPage", "name": "Général", "headline": "Général sur Calicules gustatifs", "description": "Erreur lors de la génération.", "url": "https://questionsmedicales.fr/mesh/D013650?mesh_terms=Attention+Deficit+Disorder+with+Hyperactivity&page=1000#section-général" } ] }, { "@type": "FAQPage", "mainEntity": [ { "@type": "Question", "name": "Erreur lors de la génération.", "position": 1, "acceptedAnswer": { "@type": "Answer", "text": "Veuillez réessayer ultérieurement." } } ] } ] }

Sources (10000 au total)

Young adults' visual attention to features of social media marketing for disposable e-cigarettes and associated perceptions.

E-cigarette marketing exposure on social media influences perceptions; however, limited knowledge exists regarding marketing features attracting the most visual attention. This study examined visual a... Participants viewed 32 disposable marketing post images from social media (Instagram) using computer-based eye-tracking technology to assess standardized attention metrics of marketing features. They ... We examined associations between 14 marketing features (e.g. product package, personal item, fruit/candy descriptor, social media account) and standardized attention metrics of dwell time (fixation du... Among all participants, dwell time was the longest for the product descriptor [marginal means (MM) = 1.77; 95% confidence interval (CI) = 1.69, 1.86], social media account (MM = 1.76; 95% CI = 1.67, 1... US young adults appear to be particularly visually engaged by disposable e-cigarette marketing that uses social media account features (account profile pictures, information about the products markete...

Features of attention network impairment in patients with temporal lobe epilepsy: Evidence from eye-tracking and electroencephalogram.

To explore multiple features of attention impairments in patients with temporal lobe epilepsy (TLE).... A total of 93 patients diagnosed with TLE at Xiangya Hospital during May 2022 and December 2022 and 85 healthy controls were included in this study. Participants were asked to complete neuropsychologi... All means of evaluation showed impaired attention functions in TLE patients. ANT results showed impaired orienting (p < 0.001) and executive control (p = 0.041) networks. Longer mean first saccade tim... Our findings are helpful for early identification of patients with TLE combined with attention impairments, which have strong clinical guiding significance for long-term monitoring and intervention....

Modifiable factors influencing attention performance in healthy children: insights from a comprehensive school nutrition study.

There is inconclusive evidence for the effects of various leisure activities on attention performance in children. The literature reports inconsistent associations between activities such as physical ... From 2018 to 2019, the Leipzig School Nutrition Study collected data from 1215 children and their families. The children report their dietary behavior (using CoCu- Questionnaire), especially their par... Attending upper secondary schools (ß... We found that fostering modifiable habits such as reading and physical activity could enhance attention performance. These findings have substantial implications for the development of prevention and ... The study is retrospectively registered with the German Clinical Trials Register (DRKS00017317, registration: 05-29-2019)....

Signal separation of simultaneous dual-tracer PET imaging based on global spatial information and channel attention.

Simultaneous dual-tracer positron emission tomography (PET) imaging efficiently provides more complete information for disease diagnosis. The signal separation has long been a challenge of dual-tracer... Experiments using simulated dynamic PET data were conducted to: (1) compare the proposed FBPnet-Sep model to Sep-FBPnet model and currently existing Multi-task CNN, (2) verify the effectiveness of mod... The proposed FBPnet-Sep model was considered a potential method for the reconstruction and signal separation of simultaneous dual-tracer PET imaging....

Development and validation of a self-attention network-based algorithm to detect mediastinal lesions on computed tomography images.

Diagnosis of mediastinal lesions on computed tomography (CT) images is challenging for radiologists, as numerous conditions can present as mass-like lesions at this site. This study aimed to develop a... In this study, two separate large-scale open datasets [National Institutes of Health (NIH) DeepLesion and Medical Image Computing and Computer Assisted Intervention (MICCAI) 2022 Mediastinal Lesion An... The proposed model achieved an 89.3% AP score in mediastinal lesion detection and could identify comparably large lesions with a high confidence score >0.8. Moreover, the proposed model achieved a per... The proposed model showed excellent performance in detecting mediastinal lesions on CT. Thus, it can drastically reduce radiologists' workload, improve their performance, and speed up the reporting ti...