Titre : Tabac pour pipe à eau

Tabac pour pipe à eau : Questions médicales fréquentes

Termes MeSH sélectionnés :

Attention Deficit Disorder with Hyperactivity
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"acceptedAnswer": { "@type": "Answer", "text": "Des tests de fonction pulmonaire et des analyses de sang peuvent évaluer les effets sur la santé." } }, { "@type": "Question", "name": "Quels sont les symptômes d'une consommation excessive ?", "position": 3, "acceptedAnswer": { "@type": "Answer", "text": "Les symptômes incluent toux, essoufflement, fatigue et irritation des voies respiratoires." } }, { "@type": "Question", "name": "Comment le tabac à pipe à eau affecte-t-il la santé bucco-dentaire ?", "position": 4, "acceptedAnswer": { "@type": "Answer", "text": "Il peut causer des maladies des gencives, des caries et des taches sur les dents." } }, { "@type": "Question", "name": "Comment prévenir l'usage du tabac à pipe à eau chez les jeunes ?", "position": 5, "acceptedAnswer": { "@type": "Answer", "text": "L'éducation sur les risques et la promotion d'activités alternatives sont essentielles." } }, { "@type": "Question", "name": "Quelles campagnes sont efficaces contre le tabac à pipe à eau ?", "position": 6, "acceptedAnswer": { "@type": "Answer", "text": "Les campagnes de sensibilisation et les restrictions publicitaires montrent des résultats positifs." } }, { "@type": "Question", "name": "Quels traitements existent pour arrêter le tabac à pipe à eau ?", "position": 7, "acceptedAnswer": { "@type": "Answer", "text": "Les traitements incluent les thérapies comportementales et les substituts nicotiniques." } }, { "@type": "Question", "name": "Les médicaments peuvent-ils aider à arrêter le tabac à pipe à eau ?", "position": 8, "acceptedAnswer": { "@type": "Answer", "text": "Oui, des médicaments comme la varénicline peuvent réduire les envies de fumer." } }, { "@type": "Question", "name": "Quelles sont les complications respiratoires liées au tabac à pipe à eau ?", "position": 9, "acceptedAnswer": { "@type": "Answer", "text": "Les complications incluent bronchite chronique, emphysème et risque accru de cancer du poumon." } }, { "@type": "Question", "name": "Le tabac à pipe à eau peut-il causer des maladies cardiovasculaires ?", "position": 10, "acceptedAnswer": { "@type": "Answer", "text": "Oui, il augmente le risque de maladies cardiovasculaires en affectant la circulation sanguine." } }, { "@type": "Question", "name": "Quels sont les principaux facteurs de risque du tabac à pipe à eau ?", "position": 11, "acceptedAnswer": { "@type": "Answer", "text": "Les facteurs incluent l'âge, le milieu social, et l'exposition à d'autres fumeurs." } }, { "@type": "Question", "name": "Les femmes enceintes sont-elles à risque avec le tabac à pipe à eau ?", "position": 12, "acceptedAnswer": { "@type": "Answer", "text": "Oui, cela peut nuire au développement fœtal et augmenter les complications de grossesse." } } ] } ] }

Sources (10000 au total)

LSTM-SAGDTA: Predicting Drug-Target Binding Affinity with an Attention Graph Neural Network and LSTM Approach.

Drug development is a challenging and costly process, yet it plays a crucial role in improving healthcare outcomes. Drug development requires extensive research and testing to meet the demands for eco... Drug development is a vital research area that necessitates innovation and collaboration to achieve significant breakthroughs. Computer-aided drug design provides a promising avenue for drug discovery... In this study, a novel model, namely LSTM-SAGDTA, capable of accurately predicting drug-target binding affinity, was developed. We employed SeqVec for characterizing the protein and utilized the graph... Moreover, LSTM-SAGDTA obtained superior accuracy over current state-of-the-art methods only by using less training time. The results of experiments suggest that this method represents a highprecision ...

Automated classification of ulcerative lesions in small intestine using DenseNet with channel attention and residual dilated blocks.

Ulceration of the small intestine, which has a high incidence, includes Crohn's disease (CD), intestinal tuberculosis (ITB), primary small intestinal lymphoma (PSIL), cryptogenic multifocal ulcerous s... In this study, DRCA-DenseNet169, which is based on DenseNet169, with residual dilated blocks and a channel attention block, is proposed to identify CD, ITB, PSIL, CMUSE, and NSU intelligently. In addi... DRCA-Densenet169 achieved an overall accuracy of 85.27%±0.32%, a weighted-precision of 83.99%±2.47%, a weighted-recall of 84.36%±0.88% and a weighted-F1-score of 84.07%±2.14%.... The results demonstrate that DRCA-Densenet169 has high recognition accuracy and strong robustness in identifying different types of ulcers when obtaining immediate and preliminary diagnoses....

Attention-Based CNN-BiLSTM for Sleep State Classification of Spatiotemporal Wide-Field Calcium Imaging Data.

Wide-field calcium imaging (WFCI) with genetically encoded calcium indicators allows for spatiotemporal recordings of neuronal activity in mice. When applied to the study of sleep, WFCI data are manua... A hybrid network architecture consisting of a convolutional neural network (CNN) to extract spatial features of image frames and a bidirectional long short-term memory network (BiLSTM) with attention ... Sleep states were classified with an accuracy of 84% and Cohen's kappa of 0.64. Gradient-weighted class activation maps revealed that the frontal region of the cortex carries more importance when clas... On a 3-hour WFCI recording, the CNN-BiLSTM achieved a kappa of 0.67, comparable to a kappa of 0.65 corresponding to the human EEG/EMG-based scoring.... The CNN-BiLSTM effectively classifies sleep states from spatiotemporal WFCI data and will enable broader application of WFCI in sleep....