论缔约方科学机构在履行《濒危野生动植物种国际贸易公约》中的作用

《濒危野生动植物种国际贸易公约》（CITES）旨在确保濒危野生动植物的生存免受国际贸易的威胁，是保护野生动植物资源最有力的国际公约之一。作为缔约方履约机构的重要组成部分，科学机构肩负着确保国际野生动植物贸易满足公约可持续性、合法性及可追溯性要求的责任。科学机构的工作范围广、涉及领域多，包括：组织开展动植物种科学研究，掌握物种基础科学信息，了解公约贸易政策，为野生动植物进出口贸易提供科学咨询，熟悉公约谈判规则，参与国家履约谈判，开展履约科普宣传，提高全社会的野生动植物保护意识等。中华人民共和国濒危物种科学委员会（简称“国家濒科委”）作为我国的CITES科学机构，自成立以来，依托中国科学院，依靠广大科学家，与相关部门密切合作，取得了一系列重要成绩，得到国内外的高度评价。目前，面对履约新形势，国家濒科委也面临着一系列挑战，需要在物种科学研究、促进领域协作、深化履约合作、专家智库建设、信息平台建设等方面得到进一步提升，以期为全球濒危野生动植物保护作出更大贡献。     

Fair and Explainable Depression Detection in Social Media

Detection at an early stage is vital for the diagnosis of the majority of critical illnesses and is the same for identifying people suffering from depression. Nowadays, a number of researches have been done successfully to identify depressed persons based on their social media postings. However, an unexpected bias has been observed in these studies, which can be due to various factors like unequal data distribution. In this paper, the imbalance found in terms of participation in the various age groups and demographics is normalized using the one-shot decision approach. Further, we present an ensemble model combining SVM and KNN with the intrinsic explainability in conjunction with noisy label correction approaches, offering an innovative solution to the problem of distinguishing between depression symptoms and suicidal ideas. We achieved a final classification accuracy of 98.05%, with the proposed ensemble model ensuring that the data classification is not biased in any manner.