Longitudinal Aerodynamic Coefficients of Hydra Technologies UAS-S4 from Geometrical Data
Pourquoi ce travail est dans la base
Une base qui oublie comment elle a trouvé un travail ne peut pas être vérifiée. Voici les voies qui ont admis celui-ci.
Notice bibliographique
Résumé
INTRODUCTION: Pregnancy is a crucial period which ultimately directly impacts two individuals health and wellbeing. Within the UK, a standardised pattern of care is established with collaborations across disciplines to the benefit of women and babies. During the COVID19 pandemic, this pattern of care was disrupted to align with protective protocols which until now, has not been formally reported. METHODS: A retrospective, mixed methods study of UK based women pregnant between the years 2012 and 2022 inclusive with no known complications was conducted to collate opinions and experiences of pregnancy with and without the impact of COVID19 restrictions. Quantitative results were analysed using the statistical package GraphPad Prism 9.2.0 and presented as mean values +/- standard deviation were appropriate. In addition, we used a phased approach to open ended questions. RESULTS: Our results showed no significant difference in either the number of appointments or the time of first appointment however an increased percentage of women reported the use of private services during the COVID pandemic. There was no change in the number of midwife appointments during the postnatal period during COVID but there was a significant reduction in the number of health visitor appointments. Overall, the COVID pandemic led to women feeling less satisfied with their care both during their pregnancy and postnatally, but they reported that they continued to be listened to and remained feeling in control of their pregnancy. DISCUSSION: Generally, the changes implemented during the COVID pandemic did not impact women’s pregnancy journey substantially although we have no evidence of the long-term impact on child health and development. Clear themes have been established which can be used to further improve services in maternity and there are key elements to focus on for the future of UK maternity services.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle