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Solids loading is a key factor in aqueous or gaseous ammonia production from urea. Methane production from urea-pretreated corn stover, as well as the physicochemical characteristics and delignification kinetics of the corn stover, were investigated with four solids loading values (10%-70%) and five ratios of urea to corn stover (1100-710) at 35 °C for 6 weeks. A 120 ratio of urea to corn stover was optimal for achieving high lignin removal with ≤50% solids loading, and 710 was optimal with 70% solids loading. Under the two optimal conditions, 85.56% and 82.35% of cellulose and 85.76% and 85.49% of hemicellulose were retained. The maximum lignin removal rates of 69.67% and 68.27% and methane production of 294.70 and 292.56 L/kg volatile solids (VS) were achieved, respectively. The delignification kinetics of the urea-pretreated corn stover conformed to three first-order reactions. Most of the lignin was degraded within the first 3 weeks. This study evaluated enzyme activity, available nitrogen, and bacterial succession during pig manure composting with and without microbial inoculation (ABB and CK, respectively). ABB reached the thermophilic stage 2 days than CK. Cellulose, urease, phosphatase, and sucrase activities were higher in ABB than in CK on days 12-24 of composting, but catalase activity was lesser in ABB than in CK throughout composting. NH4+-N and NO3—N were significantly increased in ABB at the maturity stage. 16S rRNA sequencing revealed Nocardiopsaceae, Bacillaceae, Streptosporangiaceaec, Flavobacteriaceae, and Caldicoprobacteraceae as the dominant bacteria at the family level. Metabolism function analysis revealed that human diseases were reduced and carbohydrate metabolism was increased in ABB. Correlation analysis revealed that urease, sucrose, and phosphatase were significantly correlated with bacteria at the species level, whereas NH4+-N and NO3—N were not significantly correlated. These results indicated that microbial inoculation accelerated the composting process and significantly regulated microbial functions. The performance of a moving bed biofilm reactor (MBBR) with bio-carriers made of polypropylene-polyurethane foam (PP-PUF) was evaluated for the collective removal of phenol and ammonia. Three independent variables, including pH (5.0-8.0), retention time (2.0-12.0 h), and airflow rate (0.8-3.5 L/min) were optimized using central composite design (CCD) of response surface methodology (RSM). The maximum removal of phenol and ammonia was obtained to be 92.6, and 91.8%, respectively, in addition to the removal of 72.3% in the chemical oxygen demand (COD) level at optimum conditions. First-order and second-order kinetic models were analyzed to evaluate the pollutants removal kinetics in a MBBR. Finally, a second-order model was found to be appropriate for predicting reaction kinetics. The values of second-order rate constants were obtained to be 2.35, 0.25, and 1.85 L2/gVSS gCOD h for phenol, COD, and ammonia removal, respectively. PURPOSE The aim of this study was to identify organizational factors and quality improvement strategies associated with lower radiation doses from abdominal CT. METHODS Cross-sectional survey were administered to radiology leaders, along with simultaneous measurement of CT radiation dose among 19 health care organizations with 100 imaging centers throughout the United States, Europe, and Japan, using a common dose management software system. After adjusting for patient age, gender, and size, quality improvement strategies were tested for association with mean abdominal CT radiation dose and the odds of a high-dose examination. RESULTS Completed surveys were received from 90 imaging centers (90%), and 182,415 abdominal CT scans were collected during the study period. Radiation doses varied considerably across organizations and centers. NT157 Univariate analyses identified eight strategies and systems that were significantly associated with lower average doses or lower frequency of high doses for abdominal CT examinations tracking patient safety measures, assessing the impact of CT changes, identifying areas for improvement, setting specific goals, organizing improvement teams, tailoring decisions to sites, testing process changes before full implementation, and standardizing workflow. These processes were associated with an 18% to 37% reduction in high-dose examinations (P less then .001-.03). In multivariate analysis, having a tracking system for patient safety measures, supportive radiology leaders, and obtaining clear images were associated with a 47% reduction in high-dose examinations. CONCLUSIONS This documentation of the relation between quality improvement strategies and radiation exposure from CT examinations has identified important information for others interested in reducing the radiation exposure of their patients. Two experiments were conducted to investigate how intergroup relation moderates group bias in Third-Party Punishment (TPP) of selfishness. Participants competed or cooperated with the other group and then performed a TPP task in which they could reduce an allocator's benefits after paying a low cost (paying 1/3 unit deducts 1 unit of the allocator in Experiment 1, n = 76) or a high cost (paying 1 unit deducts 1 unit of the allocator in Experiment 2, n = 81). The results supported the “mere-preference hypothesis” of group bias, showing that people were more likely to tolerate their ingroups while punishing outgroups more harshly. Furthermore, when the cost was low, competition increased people's punishment toward outgroups' selfishness but not toward ingroup members, thus enlarging the group bias. When the cost was high, however, this effect disappeared, indicating that people consider a “cost-to-impact ratio” when selectively enforcing the fairness norm in intergroup conflicts. Our findings suggest how intergroup relation and cost-benefit analysis interact together to influence the group bias in TPP, providing insights into mechanisms underlying the maintenance of fairness norms and decision-making in a group context. In Ashby, Konstantinidis, and Yechiam (2017) we argued that the variance in people's choices in decisions from experience stems from uncertainty about preferences. This was confirmed by high correlations between the variance in experiential choices and subsequent one-shot policy decisions both showing considerable diversification. In the present paper we address a comment regarding our paper by Plonsky and Teodorescu (2020). These authors suggested that variance in experiential choices is driven by responses to perceived patterns in prior outcomes (rather than individuals' preferences), and that these responses can also drive subsequent policy decisions. This was supported by an apparent “wavy recency” effect in our data indicatory of responses to patterns, and by an experiment showing that outcome patterns affected subsequent policy decisions. We demonstrate that our study results do not in fact show a significant wavy recency. We do find positive recency but it is very poorly correlated with the overall choice rates.