TY - JOUR A1 - Wang, Hao A1 - Wang, Xue-jiang A1 - Wang, Wei-shi A1 - Yan, Xiang-bo A1 - Xia, Peng A1 - Chen, Jie A1 - Zhao, Jian-fu T1 - Modeling and optimization of struvite recovery from wastewater and reusing for heavy metals immobilization in contaminated soil JF - Journal of chemical technology & biotechnology N2 - BACKROUND: Few studies have been carried out to connect nutrients recovery from wastewater and heavy metals immobilization in contaminated soil. To achieve the goal, ammonia nitrogen (AN) and phosphorus (P) were recovered from rare-earth wastewater by using the formation of struvite, which was used as the amendment with plant ash for copper, lead and chromium immobilization. RESULTS: AN removal efficiency and residual P reached 95.32 +/- 0.73% and 6.14 +/- 1.72mgL(-1) under optimal conditions: pH= 9.0, n(Mg): n(N): n(P)= 1.2: 1: 1.1, which were obtained using response surface methodology (RSM). The minimum available concentrations of Cu, Pb and Cr (CPC) separately reduced to 320.82 mg kg(-1), 190.77 mg kg(-1) and 121.46 mg kg(-1) with increasing immobilization time at the mass ratio of phosphate precipitate (PP)/plant ash (PA) of 1: 3. Humic acid (HA) and fulvic acid (FA) were beneficial to immobilize Cu, both of which showed no effect or even a negative effect on Pb and Cr immobilization. KW - precipitation KW - experimental design KW - immobilization KW - heavy metals KW - environmental remediation Y1 - 2016 U6 - https://doi.org/10.1002/jctb.4931 SN - 0268-2575 SN - 1097-4660 VL - 91 SP - 3045 EP - 3052 PB - Wiley-Blackwell CY - Hoboken ER - TY - JOUR A1 - Kraus, Sara Milena A1 - Mathew-Stephen, Mariet A1 - Schapranow, Matthieu-Patrick T1 - Eatomics BT - Shiny exploration of quantitative proteomics data JF - Journal of proteome research N2 - Quantitative proteomics data are becoming increasingly more available, and as a consequence are being analyzed and interpreted by a larger group of users. However, many of these users have less programming experience. Furthermore, experimental designs and setups are getting more complicated, especially when tissue biopsies are analyzed. Luckily, the proteomics community has already established some best practices on how to conduct quality control, differential abundance analysis and enrichment analysis. However, an easy-to-use application that wraps together all steps for the exploration and flexible analysis of quantitative proteomics data is not yet available. For Eatomics, we utilize the R Shiny framework to implement carefully chosen parts of established analysis workflows to (i) make them accessible in a user-friendly way, (ii) add a multitude of interactive exploration possibilities, and (iii) develop a unique experimental design setup module, which interactively translates a given research hypothesis into a differential abundance and enrichment analysis formula. In this, we aim to fulfill the needs of a growing group of inexperienced quantitative proteomics data analysts. Eatomics may be tested with demo data directly online via https://we.analyzegenomes.com/now/eatomics/or with the user's own data by installation from the Github repository at https://github.com/Millchmaedchen/Eatomics. KW - R Shiny KW - application KW - label-free KW - proteomics KW - analysis KW - differential KW - abundance KW - experimental design Y1 - 2021 U6 - https://doi.org/10.1021/acs.jproteome.0c00398 SN - 1535-3893 SN - 1535-3907 VL - 20 IS - 1 SP - 1070 EP - 1078 PB - American Chemical Society CY - Washington ER - TY - JOUR A1 - Keser, Claudia A1 - Kliemt, Hartmut A1 - Späth, Maximilian T1 - Charitable giving BT - the role of framing and information JF - PLoS ONE N2 - We investigate how different levels of information influence the allocation decisions of donors who are entitled to freely distribute a fixed monetary endowment between themselves and a charitable organization in both giving and taking frames. Participants donate significantly higher amounts, when the decision is described as taking rather than giving. This framing effect becomes smaller if more information about the charity is provided. KW - experimental economics KW - dictator game KW - experimental design KW - labor economics KW - welfare economics KW - language KW - prosocial behavior KW - university laboratories Y1 - 2023 U6 - https://doi.org/10.1371/journal.pone.0288400 SN - 1932-6203 VL - 18 IS - 7 PB - Public Library of Science (PLoS) CY - San Francisco, California ER -