Refractory degradable dissolved organic matter (R-DOM) driving nitrogen removal by the electric field coupled iron­carbon biofilter (E-ICBF): Performance and microbial mechanisms.

Researches on the advanced nitrogen (N) removal of municipal tailwater always overlooked the value of refractory degradable dissolved organic matter (R-DOM). In this study, a novel electric field coupled iron­carbon biofilter (E-ICBF) was utilized to explore the performance and microbial changes with polyethylene glycol (PEG) as the representative R-DOM. Results demonstrated that the removal efficiencies of E-ICBF for nitrate nitrogen (NO3--N), ammonia nitrogen (NH4+-N), and total nitrogen (TN) improved by 28.76 %, 12.96 %, and 28.45 %, compared to quartz sand biofilter (SBF). Moreover, removal efficiencies of NO3--N and TN in E-ICBF with R-DOM went up by 12.11 % and 14.02 % compared to methanol. Additionally, both PEG and the electric field reduced the microbial richness and diversity. However, PEG promoted the increase of denitrifying bacteria abundance including unclassified_f_Comamonadaceae, Thauera, and unclassified_f_Gallionellaceae. The electric field improved the abundances of genes related to N removal (hao, nasC, nasA, nifH, nifD, nifK) and PEG further enhanced the effect. The abundances of key enzymes [EC:1.7.5.1], [EC:1.7.2.1], [EC:1.7.2.4], and [EC:1.7.2.5] decreased due to the addition of PEG and the electric field mitigated the negative influence. Additionally, the electric field changed relationships between microorganisms and pollutant removal, and improved interspecific relationships between denitrifying bacterial genera and other genera in E-ICBF.

Application of calcium peroxide in promoting resource recovery from municipal sludge: A review.

The harmless disposal, resource recovery, and synergistic efficiency reduction of municipal sludge have been the research focuses for the last few years. Calcium peroxide (CaO2) is a multifunctional and safe peroxide that produces an alkaline oxidation environment to promote the fermentation of municipal sludge to produce hydrogen (H2) and volatile fatty acids (VFAs), thus realizing sludge resource recovery. This review outlines the research achievements of CaO2 in sludge resource recovery, improvement of sludge dewaterability, and removal of pollutants from sludge in recent years. Meanwhile, the mechanism of CaO2 and its influencing factors have also been comprehensively summarized. Finally, the future development direction of the application of CaO2 in municipal sludge is prospected. This review would provide theoretical reference for the potential engineering applications of CaO2 in improving sludge treatment in the future.

Analysis of the effect of reconstructing the ossicular chain under otoendoscopy with and without a stapes superstructure.

BACKGROUND: Numerous studies have been conducted on the effect of the stapes superstructure after ossicular chain reconstruction, but the findings are not uniform. OBJECTIVE: To compare the hearing outcomes of ossicular chain reconstruction with partial ossicular replacement prosthesis (PORP) or total ossicular replacement prosthesis (TORP) under otoendoscopy. MATERIALS AND METHODS: The records of 111 patients diagnosed with chronic suppurative otitis media were retrospectively analyzed. These patients were divided into PORP group (n = 57) and TORP group (n = 54). They were further subdivided into subgroups PORP-a (with a malleus handle) and PORP-b (without a malleus handle), subgroups TORP-a and TORP-b. Pre- and postoperative audiometric results were analyzed. RESULTS: The mean postoperative air conduction hearing thresholds improvement, mean air-bone gap improvement, and the success rate of reconstruction were significantly higher in the PORP group than in the TORP group (p < .05). The mean postoperative air conduction hearing thresholds improvement and the success rate of reconstruction were significantly higher in the PORP-a group than in the TORP-a group (p < .05); and similar results were concluded in comparison of the PORP-b group and the TORP-b group. CONCLUSIONS AND SIGNIFICANCE: The stapes superstructure has an important positive effect on the postoperative outcome of endoscopic ossicular chain reconstruction.

Multiple psychological characteristics predict housing mortgage loan behavior: A holistic model based on machine learning.

The factors that influence consumers' house choice are debatable. Previous studies have examined the effects of demographic and socioeconomic attributes, physical and environmental features of the house, and isolated single psychological characteristics on housing behavior. However, these factors are still not sufficient to predict consumer housing behavior, particularly when they are measured separately. We construct a holistic model that integrates psychological characteristics including values, personality traits, motivation, decision-making style, and risk-seeking together with demographic and socioeconomic factors to jointly predict housing mortgage loan behavior. This study aims to use a newly developed statistical method, "machine learning," to examine the relationship between multiple psychological characteristics and consumer housing mortgage loan behavior. Data were collected through an online survey (N = 2,270). The results show that the holistic psychological model is effective for predicting consumer housing mortgage loan behavior in the life context. Moreover, by analyzing and comparing the relative impact of all predictors, we find that psychological characteristics made a more important contribution to predicting housing mortgage loan behavior than did traditional factors (demographic and socioeconomic factors). The results provide a new perspective for understanding the effects of how multiple psychological characteristics integrally predict consumers' housing mortgage loan behavior in the real estate market. Theoretical and practical implications for marketing and sales are discussed.

Regional ambient temperature is associated with human personality.

Human personality traits differ across geographical regions 1-5 . However, it remains unclear what generates these geographical personality differences. Because humans constantly experience and react to ambient temperature, we propose that temperature is a crucial environmental factor that is associated with individuals' habitual behavioural patterns and, therefore, with fundamental dimensions of personality. To test the relationship between ambient temperature and personality, we conducted two large-scale studies in two geographically large yet culturally distinct countries: China and the United States. Using data from 59 Chinese cities (N = 5,587), multilevel analyses and machine learning analyses revealed that compared with individuals who grew up in regions with less clement temperatures, individuals who grew up in regions with more clement temperatures (that is, closer to 22 °C) scored higher on personality factors related to socialization and stability (agreeableness, conscientiousness, and emotional stability) and personal growth and plasticity (extraversion and openness to experience). These relationships between temperature clemency and personality factors were replicated in a larger dataset of 12,499 ZIP-code level locations (the lowest geographical level feasible) in the United States (N = 1,660,638). Taken together, our findings provide a perspective on how and why personalities vary across geographical regions beyond past theories (subsistence style theory, selective migration theory and pathogen prevalence theory). As climate change continues across the world, we may also observe concomitant changes in human personality.