El Niño/Southern Oscillation (ENSO) is the dominant interannual variability mode of the global climate system with significant effects on a variety of weather conditions, including extremes. Past events illustrate the severe societal consequences this phenomenon has through weather disasters, food security, health, economic growth, migration, and conflict. ENSO's interactions with global warming are not well understood, although they can lead to significant changes in the characteristics of extreme events. Climate conditions in 2024/2025 may favor widespread severe extreme events with global temperature anomalies nearing or surpassing 1.5°C and a transition from strong El Niño to La Niña conditions. Here, we show that current warming has amplified the effects of ENSO on temperature and precipitation extremes worldwide. Results show that warming has produced a considerable amplification of the effects of ENSO episodes over such extremes, as well as extensively modified spatial patterns. We show that considerable shares of the population, gross domestic product, agriculture, and ecosystems now face a higher risk from extreme events due to the interactions between increased anthropogenic forcing and ENSO.
El Niño/南方涛动(ENSO)是全球气候系统的主要年际变率模态,对包括极端天气在内的各种天气条件具有重要影响。过去的事件表明,这一现象通过天气灾害、粮食安全、健康、经济增长、移民和冲突造成了严重的社会后果。ENSO与全球变暖的相互作用尚不清楚,尽管它们可以导致极端事件特征的重大变化。2024/2025年的气候条件可能有利于广泛的严重极端事件,全球温度异常接近或超过1.5°C,并从强El Niño向La Niña过渡。在这里,我们表明当前的变暖放大了ENSO对全球极端温度和降水的影响。结果表明,气候变暖使ENSO事件对这些极端事件的影响大大放大,并使空间格局发生了广泛的改变。我们表明,由于人为强迫和ENSO之间的相互作用,相当大一部分人口、国内生产总值、农业和生态系统现在面临着来自极端事件的更高风险。
{"title":"Synergies Between Observed Warming and ENSO Episodes on Extreme Events","authors":"Francisco Estrada, Pierre Perron, Yohei Yamamoto","doi":"10.1111/nyas.70122","DOIUrl":"10.1111/nyas.70122","url":null,"abstract":"<p>El Niño/Southern Oscillation (ENSO) is the dominant interannual variability mode of the global climate system with significant effects on a variety of weather conditions, including extremes. Past events illustrate the severe societal consequences this phenomenon has through weather disasters, food security, health, economic growth, migration, and conflict. ENSO's interactions with global warming are not well understood, although they can lead to significant changes in the characteristics of extreme events. Climate conditions in 2024/2025 may favor widespread severe extreme events with global temperature anomalies nearing or surpassing 1.5°C and a transition from strong El Niño to La Niña conditions. Here, we show that current warming has amplified the effects of ENSO on temperature and precipitation extremes worldwide. Results show that warming has produced a considerable amplification of the effects of ENSO episodes over such extremes, as well as extensively modified spatial patterns. We show that considerable shares of the population, gross domestic product, agriculture, and ecosystems now face a higher risk from extreme events due to the interactions between increased anthropogenic forcing and ENSO.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1554 1","pages":"95-109"},"PeriodicalIF":4.8,"publicationDate":"2025-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://nyaspubs.onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70122","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145433855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Iris B. Romero, María Bernardita Puchulu, Surya M. Perez, Cintia White, Ziaul Hasan Rana, Megan W. Bourassa, Camila Delgado, José M. Belizán, Florencia Salva, Gabriela Cormick
In several countries, pregnant women have suboptimal intakes of calcium and high rates of mortality due to maternal hypertensive disorders. Calcium supplementation during pregnancy reduces the risk of these disorders and is recommended for pregnant women with low dietary calcium intake to prevent preeclampsia. Our objective was to evaluate the global adoption of the World Health Organization (WHO) recommendation for calcium supplementation during pregnancy to prevent pre-eclampsia. Each WHO member state's Ministry of Health website, Google, and WHO databases were searched, between January and July 2024, to identify national antenatal care guidelines. We found pregnancy-related guidelines published between 2007 and 2024 in 92 countries of the 194 countries included in this review (47.4%), of which 58 (63%) included calcium intake recommendations, and 29 recommended calcium supplementation with doses varying from 0.5 to 2 g of elemental calcium per day. Most of these guidelines were from upper middle- or high-income countries (19, 65.5%), whereas in countries where this recommendation is most needed, there is a lack of published calcium supplementation recommendations during pregnancy.
{"title":"National Adoption of World Health Organization Recommendations on Calcium Supplementation During Pregnancy","authors":"Iris B. Romero, María Bernardita Puchulu, Surya M. Perez, Cintia White, Ziaul Hasan Rana, Megan W. Bourassa, Camila Delgado, José M. Belizán, Florencia Salva, Gabriela Cormick","doi":"10.1111/nyas.70120","DOIUrl":"10.1111/nyas.70120","url":null,"abstract":"<p>In several countries, pregnant women have suboptimal intakes of calcium and high rates of mortality due to maternal hypertensive disorders. Calcium supplementation during pregnancy reduces the risk of these disorders and is recommended for pregnant women with low dietary calcium intake to prevent preeclampsia. Our objective was to evaluate the global adoption of the World Health Organization (WHO) recommendation for calcium supplementation during pregnancy to prevent pre-eclampsia. Each WHO member state's Ministry of Health website, Google, and WHO databases were searched, between January and July 2024, to identify national antenatal care guidelines. We found pregnancy-related guidelines published between 2007 and 2024 in 92 countries of the 194 countries included in this review (47.4%), of which 58 (63%) included calcium intake recommendations, and 29 recommended calcium supplementation with doses varying from 0.5 to 2 g of elemental calcium per day. Most of these guidelines were from upper middle- or high-income countries (19, 65.5%), whereas in countries where this recommendation is most needed, there is a lack of published calcium supplementation recommendations during pregnancy.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1554 1","pages":"87-94"},"PeriodicalIF":4.8,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://nyaspubs.onlinelibrary.wiley.com/doi/epdf/10.1111/nyas.70120","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145433858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Surface defect detection in industrial materials faces two main challenges: complex backgrounds and missed small defects. To address these problems, this paper presents CGRNet, an efficient real-time detector. CGRNet introduces a content-guided feature extraction network that uses global context to guide adaptive high-frequency filtering. This suppresses low-frequency noise and enhances edge and local features. The detail enhancement module with a double residual attention mechanism integrates channel-specific spatial attention maps for multi-scale feature interaction. This integration improves the detection of small defects. The SIoU loss function and Lion optimizer speed up convergence and improve localization accuracy. Experimental results show that CGRNet achieves a 93.6% mAP on the PVEL_AD dataset, surpassing existing methods in accuracy. On the NEU-DET dataset, the model runs at 81.9 frames per second, satisfying real-time application requirements.
{"title":"A Real-Time Defect Detector With Content-Guided Feature Extraction and Detail Enhancement","authors":"Yuefei Huang, Tingting Fang, Ming Ye","doi":"10.1111/nyas.70123","DOIUrl":"10.1111/nyas.70123","url":null,"abstract":"<p>Surface defect detection in industrial materials faces two main challenges: complex backgrounds and missed small defects. To address these problems, this paper presents CGRNet, an efficient real-time detector. CGRNet introduces a content-guided feature extraction network that uses global context to guide adaptive high-frequency filtering. This suppresses low-frequency noise and enhances edge and local features. The detail enhancement module with a double residual attention mechanism integrates channel-specific spatial attention maps for multi-scale feature interaction. This integration improves the detection of small defects. The SIoU loss function and Lion optimizer speed up convergence and improve localization accuracy. Experimental results show that CGRNet achieves a 93.6% mAP on the PVEL_AD dataset, surpassing existing methods in accuracy. On the NEU-DET dataset, the model runs at 81.9 frames per second, satisfying real-time application requirements.</p>","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"1554 1","pages":"353-364"},"PeriodicalIF":4.8,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145433859","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}