Notice bibliographique
Résumé
This issue of Asia Pacific Allergy (Asia Pac Allergy) will be released at the beginning of its third year of circulation. Asia Pac Allergy is just two years old yet very active and on the way to developing into a leading publication in allergic disease research. We thank all the authors and readers for their efforts and contributions. Our current issue features two valuable reviews on the topics of atopic dermatitis and food allergy as well as interesting original articles on immediate-type allergy. Numerous studies have investigated trends in the occurrence of allergic disorders with recent reports showing that the rate of immediate allergic diseases appears to have doubled over the last 15-20 years. Increases in the number of allergic patients have been reported in countries all over the world. As Thalayasingam and Lee [1] pointed out in the previous issue of this journal, the prevalence of asthma is different in every country. The common environmental risk factors for allergic diseases, especially bronchial asthma, are air pollution, environmental tobacco smoke, nutrition, allergen exposure, family size, infection and hygiene. However, much controversy surrounds the role that each of these risk factors play in the development of allergies. Isolating the effects of environmental risk factors is complicated by the fact that environmental situations differ from country to country and that there are genetic differences between races. From the available studies of epidemiology and heritability of allergic diseases, it is clear that allergic diseases are complex, and the interaction between genetics and environmental factors may plays a fundamental role in the development of IgE-mediated hypersensitivity and the subsequent development of clinical symptoms. Epigenetics is a highly sophisticated biological system that regulates the utilization of genomic information by posteriorly modifying/regulating genomic DNA diseases such as allergies involve multiple genetic and environmental factors and epigenetics is drawing attention as a regulatory mechanism that connects these 2 factors [2]. Prescott pointed out that allergic diseases are one type of chronic non-communicable diseases (NCDs) and a common feature shared by these diseases is chronic low-grade inflammation. It is a major global challenge in the 21st century [3]. We need to think and study the epidemiological changes of allergic diseases on a global scale. The prevalence of atopic allergies differs geographically. Asthma prevalence is low in developing countries, high in Western countries such as the UK, New Zealand, Australia, the Republic of Ireland and Canada and low in Asian countries such as China, Indonesia, and Taiwan. The prevalence of peanut a llergies in Asia is extremely low compared to Western countries. In contrast, the prevalence of food allergies is lower in Western counties than in Asia. Considering these data, it is important to gain insight into the risk factors present in each country. We need to consider the importance not only of allergens, but also of indigenous risk factors for allergies in every country. We need to act locally.
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.
Comment cette classification a été obtenuedéplier
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 | 0,000 |
| 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 | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,004 |
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 découleClassification
machine, non validéePrédiction automatique; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».