Situation Analysis and Needs Assessment Report for Ma Village and Yan Bai Province, Vietnam

Ma village is one of the 15 villages of Vinh Kien commune, Yen Binh district, Yen Bai province in the northern mountainous region of Viet Nam. Ma village was selected as a site for the Climate Smart Village (CSV) development under the CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). It has a topography, landscape and climate conditions representing most in the region and faces increasing challenges caused by climate variability, natural resources degradation, and environmental pollution. The village’s current production systems have low sustainability and profits. Maize and cassava are largely produced in dominant monoculture systems on sloping lands representing most of the village’s total arable lands, while rice is planted in a small area. Slash and burn practices are used largely in sloping lands, while unbalanced fertilizer levels (often with too much nitrogen) are applied for all the crops, and integrated pest management is yet to be promoted. All these have caused high intensity soil erosion, land degradation, and GHG emission. In addition, improper waste management, particularly from cassava, has resulted in severe water pollution in all river and lake systems. Organizations are present to support Ma village and the province in the areas of agriculture, forestry, food security, and climate change adaptation and mitigation. However, coordination between organizations remains poor. The local systems currently do not have the capacity to solve the multiple problems in the village. Human and financial resources. Inadequate. Support from CCAFS in important to help the village address the increasing problems caused by climate change, water pollution, soil erosion, and land degradation

International Consensus Statement on Rhinology and Allergy: Rhinosinusitis

Background: The 5 years since the publication of the first International Consensus Statement on Allergy and Rhinology: Rhinosinusitis (ICAR‐RS) has witnessed foundational progress in our understanding and treatment of rhinologic disease. These advances are reflected within the more than 40 new topics covered within the ICAR‐RS‐2021 as well as updates to the original 140 topics. This executive summary consolidates the evidence‐based findings of the document. Methods: ICAR‐RS presents over 180 topics in the forms of evidence‐based reviews with recommendations (EBRRs), evidence‐based reviews, and literature reviews. The highest grade structured recommendations of the EBRR sections are summarized in this executive summary. Results: ICAR‐RS‐2021 covers 22 topics regarding the medical management of RS, which are grade A/B and are presented in the executive summary. Additionally, 4 topics regarding the surgical management of RS are grade A/B and are presented in the executive summary. Finally, a comprehensive evidence‐based management algorithm is provided. Conclusion: This ICAR‐RS‐2021 executive summary provides a compilation of the evidence‐based recommendations for medical and surgical treatment of the most common forms of RS

Genome-wide association study identifies five new susceptibility loci for primary angle closure glaucoma

Primary angle closure glaucoma (PACG) is a major cause of blindness worldwide. We conducted a genome-wide association study (GWAS) followed by replication in a combined total of 10,503 PACG cases and 29,567 controls drawn from 24 countries across Asia, Australia, Europe, North America, and South America. We observed significant evidence of disease association at five new genetic loci upon meta-analysis of all patient collections. These loci are at EPDR1 rs3816415 (odds ratio (OR) = 1.24, P = 5.94 × 10-15), CHAT rs1258267 (OR = 1.22, P = 2.85 × 10-16), GLIS3 rs736893 (OR = 1.18, P = 1.43 × 10-14), FERMT2 rs7494379 (OR = 1.14, P = 3.43 × 10-11), and DPM2-FAM102A rs3739821 (OR = 1.15, P = 8.32 × 10-12). We also confirmed significant association at three previously described loci (P < 5 × 10-8 for each sentinel SNP at PLEKHA7, COL11A1, and PCMTD1-ST18), providing new insights into the biology of PACG