GROUNDWATER TREATMENT TECHNOLOGIES FOR THE NATIONAL PROGRAM "CLEAN WATER AND ENVIRONMENTAL SANITARY" OF HOCHIMINH CITY AND SOUTHERN PROVINCES

Joint Research on Environmental Science and Technology for the Eart

COD REMOVAL BY LAB-SCALE MEMBRANE ACTIVATED SLUDGE PROCESS FROM LEACHATE OF GO CAT LANDFILL IN HOCHIMINH CITY

Joint Research on Environmental Science and Technology for the Eart

Performance of Lab-Scale Membrane Bioreactor for Leachate from Go Cat Landfill in Ho Chi Minh City, Vietnam

『大阪大学大学院工学研究科環境・エネルギー工学専攻生物圏環境工学領域 研究活動報告』, (2006.4.1～2007.3.31), pp.79～85, 大阪大学大学院工学研究科環境・エネルギー工学専攻環境資源・材料学講座生物圏環境工学領域, 2007.6 に掲

EmbryosFormer: Deformable Transformer and Collaborative Encoding-Decoding for Embryos Stage Development Classification

The timing of cell divisions in early embryos during the In-Vitro Fertilization (IVF) process is a key predictor of embryo viability. However, observing cell divisions in Time-Lapse Monitoring (TLM) is a time-consuming process and highly depends on experts. In this paper, we propose EmbryosFormer, a computational model to automatically detect and classify cell divisions from original time-lapse images. Our proposed network is designed as an encoder-decoder deformable transformer with collaborative heads. The transformer contracting path predicts per-image labels and is optimized by a classification head. The transformer expanding path models the temporal coherency between embryo images to ensure monotonic non-decreasing constraint and is optimized by a segmentation head. Both contracting and expanding paths are synergetically learned by a collaboration head. We have benchmarked our proposed EmbryosFormer on two datasets: a public dataset with mouse embryos with 8-cell stage and an in-house dataset with human embryos with 4-cell stage. Source code: https://github.com/UARK-AICV/Embryos.Comment: Accepted at WACV 202

Micropollutants in the Sediment of the SaiGon–DongNai River: Situation and Ecological Risks

This study is dedicated to the monitoring of environmental pollution in the SaiGon–DongNai (SGDN) river basin using ecotoxicological tests recently developed by the Institute for Environment and Resources (IER-CEFINEA). This paper presents the results of the analysis of micropollutants (pesticides and heavy metals); it also considers the effects of such pollutants on ecosystems. Results show that SGDN river sediments are contaminated by industrial and agricultural effluents. Although the pollution level does not exceed the probable effect level (PEL) value, SGDN sediments appear to have reached a toxicity level that should be monitored