An innovative exploration to identify and isolate the dominant-flocculated-species from polytitanium chloride synthesized by electrodialysis.

Abundance of dominant-flocculated-species is the key to determine coagulation performance of coagulant. Titanium-based coagulants have garnered considerable attention due to their high coagulation efficiency, but with a current challenge of the identification and isolation of the dominant-flocculated-species. Herein, polytitanium chloride (PTC), enriched with dominant-flocculated-species, was successfully synthesized by electrodialysis through accurate micro-interface control of the reaction among Ti-hydrolyzed-species and OH-. Special attention was paid to a feasible and high-effective strategy to isolate the dominant-flocculated-species from PTC through one-step rapid ultrafiltration. Selective preference was the ultrafiltration membranes (made of polyethersulfone) with a molecular weight cut-off of 5 kDa, which enabled the isolation of the dominant-flocculated-species, named PTC-5k. Results from the electrospray time-of-flight mass spectrometry (ESI-TOF-MS) proved a large proportion of the small and medium-sized hydrolyzed products as dominant-flocculated-species in PTC-5k, with the main signals concentrated between m/z 100 and 500. This composition achieved approximately 15.0% higher removal of organic matter with a 33.0% reduction in dosage compared to PTC. Unique snowflake-like branched structure of PTC-5k enhanced the coagulation mechanisms of sweeping and adsorption-bridging flocculation. Worth noting was the more compact flocs formed by PTC-5k than PTC, which was the probable reason for the mitigated fouling of ceramic membrane when PTC-5k was utilized as pre-treatment methodology. Continuous operation of ceramic membrane filtration up to 30 h, demonstrated 30% improvement in stable flux compared to PTC. This study provides the strategy for the isolation of Ti-dominant-flocculated-species, and lays the foundation for practical application.

Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning.

Distributed Acoustic Sensing (DAS) is an emerging technology for earthquake monitoring and subsurface imaging. However, its distinct characteristics, such as unknown ground coupling and high noise level, pose challenges to signal processing. Existing machine learning models optimized for conventional seismic data struggle with DAS data due to its ultra-dense spatial sampling and limited manual labels. We introduce a semi-supervised learning approach to address the phase-picking task of DAS data. We use the pre-trained PhaseNet model to generate noisy labels of P/S arrivals in DAS data and apply the Gaussian mixture model phase association (GaMMA) method to refine these noisy labels and build training datasets. We develop PhaseNet-DAS, a deep learning model designed to process 2D spatio-temporal DAS data to achieve accurate phase picking and efficient earthquake detection. Our study demonstrates a method to develop deep learning models for DAS data, unlocking the potential of integrating DAS in enhancing earthquake monitoring.

An upper-crust lid over the Long Valley magma chamber.

Geophysical characterization of calderas is fundamental in assessing their potential for future catastrophic volcanic eruptions. The mechanism behind the unrest of Long Valley Caldera in California remains highly debated, with recent periods of uplift and seismicity driven either by the release of aqueous fluids from the magma chamber or by the intrusion of magma into the upper crust. We use distributed acoustic sensing data recorded along a 100-kilometer fiber-optic cable traversing the caldera to image its subsurface structure. Our images highlight a definite separation between the shallow hydrothermal system and the large magma chamber located at ~12-kilometer depth. The combination of the geological evidence with our results shows how fluids exsolved through second boiling provide the source of the observed uplift and seismicity.

Comparison of typical nitrite oxidizing bacteria suppression strategies and the effect on nitrous oxide emissions in a biofilm reactor.

In mainstream partial nitritation/anammox (PN/A), suppression of nitrite oxidizing bacteria (NOB) and mitigation of N2O emissions are two essential operational goals. The N2O emissions linked to three typical NOB suppression strategies were tested in a covered rotating biological contactor (RBC) biofilm system at 21 °C: (i) low dissolved oxygen (DO) concentrations, and treatments with (ii) free ammonia (FA), and (iii) free nitrous acids (FNA). Low emerged DO levels effectively minimized NOB activity and decreased N2O emissions, but NOB adaptation appeared after 200 days of operation. Further NOB suppression was successfully achieved by periodic (3 h per week) treatments with FA (29.3 ± 2.6 mg NH3-N L-1) or FNA (3.1 ± 0.3 mg HNO2-N L-1). FA treatment, however, promoted N2O emissions, while FNA did not affect these. Hence, biofilm PN/A should be operated at relatively low DO levels with periodic FNA treatment to maximize nitrogen removal efficiency while avoiding high greenhouse gas emissions.

Earthquake focal mechanisms with distributed acoustic sensing.

Earthquake focal mechanisms provide critical in-situ insights about the subsurface faulting geometry and stress state. For frequent small earthquakes (magnitude< 3.5), their focal mechanisms are routinely determined using first-arrival polarities picked on the vertical component of seismometers. Nevertheless, their quality is usually limited by the azimuthal coverage of the local seismic network. The emerging distributed acoustic sensing (DAS) technology, which can convert pre-existing telecommunication cables into arrays of strain/strain-rate meters, can potentially fill the azimuthal gap and enhance constraints on the nodal plane orientation through its long sensing range and dense spatial sampling. However, determining first-arrival polarities on DAS is challenging due to its single-component sensing and low signal-to-noise ratio for direct body waves. Here, we present a data-driven method that measures P-wave polarities on a DAS array based on cross-correlations between earthquake pairs. We validate the inferred polarities using the regional network catalog on two DAS arrays, deployed in California and each comprising ~ 5000 channels. We demonstrate that a joint focal mechanism inversion combining conventional and DAS polarity picks improves the accuracy and reduces the uncertainty in the focal plane orientation. Our results highlight the significant potential of integrating DAS with conventional networks for investigating high-resolution earthquake source mechanisms.

Feasibility of a return-sludge nursery concept for mainstream anammox biostimulation: Creating optimal conditions for anammox to recover and grow in a parallel tank.

To overcome limiting anammox activity under sewage treatment conditions, a return-sludge nursery concept is proposed. This concept involves blending sludge reject water treated with partial nitritation with mainstream effluent to increase the temperature, N levels, and electrical conductivity (EC) of the anammox nursery reactor, which sludge periodically passes through the return sludge line of the mainstream system. Various nursery frequencies were tested in two 2.5 L reactors, including 0.5-2 days of nursery treatment per 3.5-14 days of the total operation. Bioreactor experiments showed that nursery increased nitrogen removal rates during mainstream operation by 33-38%. The increased anammox activity can be partly (35-60%) explained by higher temperatures. Elevated EC, higher nitrogen concentrations, and a putative synergy and/or unknown factor were responsible for 15-16%, 12-14%, and 10-36%, respectively. A relatively stable microbial community was observed, dominated by a "Candidatus Brocadia" member. This new concept boosted activity and sludge growth, which may facilitate mainstream anammox implementations based on partial nitritation/anammox or partial nitrification/denitratation/anammox.

Corrigendum: Dilemma and countermeasure of sustainable leadership in physical education development in southern rural Ningxia, China.

[This corrects the article DOI: 10.3389/fpsyg.2022.947694.].

The magmatic web beneath Hawai'i.

The deep magmatic architecture of the Hawaiian volcanic system is central to understanding the transport of magma from the upper mantle to the individual volcanoes. We leverage advances in earthquake monitoring with deep learning algorithms to image the structures underlying a major mantle earthquake swarm of nearly 200,000 events that rapidly accelerated after the 2018 Kilauea caldera collapse. At depths of 36 to 43 kilometers, we resolve a 15-kilometers-long collection of near-horizontal sheeted structures that we identify as a sill complex. These sills connect to the lower depths of Kilauea's plumbing by a 25-kilometers-long belt of seismicity. Additionally, a column of seismicity links the sill complex to a shallow décollement near Mauna Loa. These findings implicate the mantle sill complex as a nexus for magma transport beneath Hawai'i and furthermore indicate widespread magmatic connectivity in the volcanic system.

Predictive plasma biomarker for gestational diabetes: A case-control study in China.

OBJECTIVE: This study aims to find new plasma biomarkers in early pregnancy. DESIGN: The original study enrolled 1219 pregnant women. We investigated protein expression profiles of placental tissues from women with GDM (n = 89) and normal glucose tolerance (NGT) (n = 83). Maternal plasma samples between two groups in early and middle pregnancy were used for validation of candidate biomarkers. METHODS: Differentially expressed proteins (DEPs) were identified by label-free quantitative proteomics from human placenta samples between two groups. Several DEPs were validated in plasma by Luminex assays. An automatic biochemical analyzer was used to detect blood lipid indexes. The associations of GAL-3BP with biochemical indicators were demonstrated by Pearson's correlation analysis. Binary logistic regression was used to model potential predictive indicators in early pregnancy of GDM. Receiver operating characteristic (ROC) curve was used to evaluate the diagnostic accuracy of the predictive model and the value of GAL-3BP. RESULTS: 123 DEPs were found in placenta involved in ribosomal function, pancreatic secretion, oxidative phosphorylation, and inflammatory signaling pathway. Plasma GAL-3BP are significantly higher in women with GDM than NGT in the first (p = 0.008) and second (p = 0.026) trimester, but C9 and VWF have no difference. The predictive value of GAL-3BP in the first trimester of pregnancy (AUC 0.64) is better than that in the second trimester (AUC 0.61), and combined predictive model of TG and GAL-3BP at early pregnancy has greater predictive and diagnostic value for GDM (AUC 0.69) than individual GAL-3BP (AUC 0.64). CONCLUSIONS: Plasma TG and GAL-3BP has good predictive and diagnostic value at early pregnancy, suggesting that these two indicators may be used as biomarkers for early prediction and diagnosis of GDM. SIGNIFICANCE: The advantage of this study is that circulating TG and GAL-3BP might differentiate the progress of women with GDM and normal glucose tolerance (NGT) at the early stage of pregnancy. It is the first study to consider the role of GAL-3BP as an early predictive biomarker in the development of GDM during the whole pregnancy. Another advantage is that volunteers in this study were recruited from two provinces in China to eliminate the impacts of environmental confounders. The similar changes of blood glucose/lipid indicators for women with GDM and NGT in both regions was found in the first and second trimester of pregnancy, which added to the reliability of analytical results.

Development and validation of the Chinese family environment influencing physical activity habits scale.

Introduction: Adolescence represents a pivotal stage in the development of healthy behaviors, where establishing positive physical activity habits can have enduring effects on an individual's overall wellbeing. The ecological model highlights the influence of environmental factors on human behavior, with the family environment playing a significant role in shaping the physical activity habits of adolescents. Methods: The aim of this scale is to develop a reliable and effective tool, customized for the unique societal context of China, to assess how family factors influence the physical activity habits of Chinese adolescents. Participants were recruited through stratified cluster sampling from 24 secondary schools in six Chinese provinces between October and November 2021, resulting in 1,061 participants. Analysis was conducted on 1,004 valid questionnaires, divided into two samples. Sample 1, consisting of 502 students (248 males and 254 females; Mage = 15.5), underwent item analysis and exploratory factor analysis. Sample 2, comprising 502 students (267 males and 235 females; Mage = 16.5), underwent confirmatory factor analysis and internal consistency reliability analysis. Results: Through exploratory factor analysis, we extracted three factors comprising 15 items: "Family Environment Construction" (4 items), "Family Action Support" (6 items), and "Family Health Awareness" (5 items). The Cronbach's alpha values for these factors ranged from 0.890 to 0.894. Confirmatory factor analysis confirmed a satisfactory model fit (CMIN/DF = 1.45, SRMR = 0.027, GFI = 0.991, TLI = 0.989, RMSEA = 0.03). Discussion: The scale demonstrated strong internal consistency and test-retest reliability, confirming its effectiveness in empirical research. This study holds significant implications for enhancing the physical activity levels of adolescents, promoting their physical and mental wellbeing, enriching their developmental experiences, and contributing to their overall sense of happiness.

Peer effects and health impacts of different body cognitive biases in children: micro evidence from China.

Background: In China, children commonly display body cognitive biases, which constitute a significant yet hidden public health issue. These biases potentially jeopardize children's well-being, hinder the cultivation of human capital, and impede societal progress. However, limited research employs theoretical analysis and econometric testing to investigate the formation of different body cognitive biases among Chinese children and their health impacts. Methods: Based on a local average network model for theoretical analysis, this study utilizes a sample of 4,289 children from four phases of the China Health and Nutrition Survey (CHNS) conducted from 2004 to 2011. Utilizing Logit and IV Probit models, systematically evaluate the peer effect, heterogeneity of effects, and health impacts of children's different body cognitive biases. Results: (1) The peer effect contributes to the development of light- and heavy-body cognitive biases in Chinese children. (2) The heterogeneity analysis shows that the peer effect of body cognitive biases is more significant in rural and female children. (3) The influence of heavy-body cognitive bias is more pronounced in adolescent children. (4) The "eating-activity balance" is disrupted by the two body cognitive biases in children, leading to deviations from normal body type. (5) Specifically, the light-body cognitive bias leads children to intake more and burn fewer calories, increasing their risk of obesity. (6) Conversely, the heavy-body cognitive bias prompts children to intake less and expend more calories, resulting in a higher prevalence of thinness. Discussion: This study innovates by exploring peer effects on body cognitive biases in Chinese children, elucidating their direction and health implications. While overweight and obesity are recognized as overt health issues, the spread and impact of implicit issues like body cognitive biases should not be overlooked. Nevertheless, the issue is largely neglected in developing countries, such as China, where existing children's health policies are inadequate in addressing it. Promoting accurate body image perception and understanding of health prevention strategies among children requires adequate attention to peer effects.

Whole-exome sequencing reveals novel variants associated with abnormal uterine bleeding caused by copper intrauterine device.

Aim: This study aimed to explore the genetic risk factors and validate variants of abnormal uterine bleeding after copper intrauterine device insertion. Methods: Whole-exome sequencing was performed and several variants were validated by Sequenom MassARRAY. Results: Eight variants showed potential clinical damage according to American College of Medical Genetics and Genomics criteria. By combined analysis of screening and validation, NFASC RS2802808 C>G p.Ile971Met (Pallele = 0.009 and Pgenotype = 0.027) and PIGR RS2275531 C>T p.Gly365Ser (Pallele = 0.009 and Pgenotype = 0.013) variants were identified as significantly associated with abnormal uterine bleeding with a false discovery rate <0.05. NFASC and PIGR may play a role in abnormal uterine bleeding by regulating coagulation fibrinolysis and endometrial epithelium inflammation functions. Conclusion: These findings provide a genetic basis for clinical individualization and precision of intrauterine device implantation.

Abnormal uterine bleeding (AUB) after Cu intrauterine device (Cu-IUD) insertion is the most common side effect of Cu-IUD use. AUB is a multifactorial process that relates to endometrial-related genetic factors, ovulatory function-related genetic factors, coagulation, the fibrinolytic system, contraction of the uterine arteries and endometritis inflammatory factor. This is the first study to explore the underlying genetic mechanisms of AUB related to the use of Cu-IUDs by whole-exome sequencing in the Chinese Han population. The authors found that variants of NFASC and PIGR genes were significantly associated with AUB in women using Cu-IUDs. NFASC and PIGR may be involved in coagulation fibrinolysis and endometrial epithelium inflammation functions, indicating its potential functions in AUB. This study could provide a genetic basis for studies on the individualization and precision of IUD use in the future.

Dilemma and countermeasure of sustainable leadership in physical education development in southern rural Ningxia, China.

Globally, above 1.4 billion adults did not reach the recommended level of physical education in their daily life, thus triple intendent reforms are proposed by the Ministry of Physical Education for the development of sporting leadership in schools, colleges, and universities, which are essentially important for the development of physical and mental health of the students. This article analyzes the situation of lacking sustainable sporting leadership among other factors related to Physical Education (PE) resources in the southern areas of Ningxia. A mixed and multi-method approach was adopted to conduct the study. First, an in-depth but an open-ended qualitative interview with the professionals was carried out, followed by cross-sectional data collected from the respondents in two districts of the southern mountainous area of Ningxia. Moreover, a case study was included to support the phenomenon from a contextual perspective. The study present that PE education needs a modernization and rejuvenation plan to link with PE development and its sustainable execution and implementation for the physical and mental development of the learners. Moreover, it is suggested to strengthen the development of physical education with/through the fields of regional integration of educational resources sharing, cultural elements and integration, latest technological tools, research-based and cultural supported curriculum, and endogenous strength construction to promote the development of school physical education. Furthermore, continuous monitoring and evaluation mechanisms need to be adopted to develop physical education in the region.

Integrated single-cell RNA-seq and DNA methylation reveal the effects of air pollution in patients with recurrent spontaneous abortion.

BACKGROUND: Maternal air pollutants exposure is associated with a number of adverse pregnancy outcomes, including recurrent spontaneous abortion (RSA). However, the underlying mechanisms are still unknown. The present study aimed to understand the mechanism of RSA and its relationship with air pollution exposure. We compared data of decidual tissue from individuals with induced abortions and those with RSA by bulk RNA sequencing (RNA-seq), reduced representation bisulfite sequencing (RRBS), and single-cell RNA sequencing (scRNA-seq). Differentially expressed genes (DEGs) were verified using RT-qPCR and pyrosequencing. A logistic regression model was used to investigate the association between air pollutants exposure and RSA. RESULTS: We identified 98 DEGs with aberrant methylation by overlapping the RRBS and RNA-seq data. Nineteen immune cell subsets were identified. Compared with normal controls, NK cells and macrophages accounted for different proportions in the decidua of patients with RSA. We observed that the methylation and expression of IGF2BP1 were different between patients with RSA and controls. Furthermore, we observed significant positive associations between maternal air pollutants exposure during the year prior to pregnancy and in early pregnancy and the risk of RSA. Mediation analyses suggested that 24.5% of the effects of air pollution on the risk of RSA were mediated through IGF2BP1 methylation. CONCLUSION: These findings reveal a comprehensive cellular and molecular mechanism of RSA and suggest that air pollution might cause pregnancy loss by affecting the methylation level of the IGF2BP1 promoter.

Placental DNA methylation changes in gestational diabetes mellitus.

In this study, we investigated the association between altered methylation in the maternal placenta and hyperglycaemia and explored the epigenetic mechanisms underlying gestational diabetes mellitus (GDM). Reduced representation bisulphite sequencing (RRBS) and RNA sequencing (RNA-seq) were performed on placental tissues obtained from women with GDM and healthy controls. Further, pyrosequencing, correlation analyses, and linear regression analyses were performed to valuate relationships between aberrantly methylated-differentially expressed genes and clinical parameters. The EMBOSS and JASPAR databases were used for a computational analysis of CpG islands and transcription factor-binding sites in the TRIM67 promoter region. A CpG island with a length of 264 bp in the placental TRIM67 promoter region in the GDM group exhibited significant hypermethylation at four CpG sites. The hypermethylation of the TRIM67 promoter region in the maternal placenta showed a significant, positive correlation with the 1 h and 2 h oral glucose tolerance test (OGTT) values and a negative correlation with lipoprotein(a). Placental DNA methylation levels in the TRIM67 promoter region were markedly elevated in GDM and were associated with blood glucose and lipid levels during healthy pregnancy.

CircFBXW4 regulates human trophoblast cell proliferation and invasion via targeting miR-324-3p/TJP1 axis in recurrent spontaneous abortion.

INTRODUCTION: Increasing evidence has shown that circular RNAs (circRNAs) play vital roles in embryonic development. However, the function of circRNAs in recurrent spontaneous abortion (RSA) is largely unknown. This study aimed to investigate the expression profile of human circRNAs and their functional mechanisms in regulating RSA. METHODS: The profiles of circRNAs in placental villus tissues from women with RSA and healthy pregnancy with induced abortion were investigated using RNA-sequencing and bioinformatics. Nine circRNAs were verified in the 50 placental villus samples. RNase R digestion, actinomycin D treatment, and fluorescence in situ hybridization were performed to characterize circFBXW4. Furthermore, direct binding of circFBXW4 to miR-324-3p was confirmed by dual-luciferase reporter assay. The roles of circFBXW4 were determined by loss- and gain-of-function assays including cell proliferation, invasion, and apoptosis using CCK8 kit, transwell migration assay, and TUNEL kit in vitro, respectively. RESULTS: A total of 417 aberrantly expressed circRNAs was detected. circFBXW4, a circRNA significantly up-regulated in the RSA group, was further evaluated. circFBXW4 showed higher stability than FBXW4 mRNA and was localized in the cytoplasm and nucleus in HTR-8/SVneo cells. MiR-324-3p was lowly expressed in the RSA group, and directly regulated circFBXW4 and TJP1 expression in a targeted manner. Overexpression and knockdown of circFBXW4 and miR-324-3p mimic/inhibitor could increase or decrease HTR-8/SVneo cell proliferation and invasion. circFBXW4 regulated TJP1 expression, cell proliferation, and invasion by sponging miR-324-3p. DISCUSSION: The circFBXW4/miR-324-3p/TJP1 axis is involved in the occurrence and progression of RSA and may be a promising therapeutic target in RSA.

Expression profiles of circular RNA in human placental villus and decidua and prediction of drugs for recurrent spontaneous abortion.

PROBLEM: We aimed to evaluate potential biomarkers and candidate drugs for recurrent spontaneous abortion (RSA) and explore functional circular RNA pathways involved in regulating RSA. METHOD OF STUDY: Expression profiles of placental villus and decidua samples derived from females with RSA and those with healthy pregnancies who underwent induced abortion were analyzed using high-throughput RNA whole transcriptome sequencing. Abnormally expressed circular RNAs in a larger cohort of samples were validated using real-time quantitative polymerase chain reaction. Drug discovery and molecular docking were performed using online databases and the Autodock tool, respectively. RESULTS: In total, 2103 and 2160 circular RNAs were detected in three pairs of villi and three pairs of decidual tissues, respectively. A total of 22 circular RNAs, 58 miRNAs, and 393 mRNAs with significantly different expression patterns were identified. Five circular RNAs were verified, and the expression of hsa_circ_0088485 was significantly upregulated in the RSA group (P = .041) with a high area under the curve value (.727), sensitivity (76.5%), and specificity (64.7%). GO and KEGG enrichment analyses indicated that differentially expressed genes were associated with angiogenesis and cell adhesion. Drug discovery and molecular docking were analyzed based on 93 differentially expressed mRNAs of the ceRNA network. A total of 36 chemicals were identified as putative bioactive molecules for RSA, and one representative chemical was identified for docking with six proteins. CONCLUSIONS: These findings provide novel insights into the mechanism of regulation of RSA by circular RNA and its clinical diagnosis and treatment.

Establishment of DNA Methylation Profile Associated with TCM Syndrome in Endometriosis.

Objectives: To screen the potential epigenetic biomarkers associated with endometriosis (EMS) and traditional Chinese medicine (TCM) syndrome EMS types. Methods: A cohort of 99 participants comprising 42 EMS patients with cold coagulation blood stasis (CCBS) syndrome, 35 EMS patients with Qi stagnation blood stasis (QSBS) syndrome, and 22 women of childbearing age without EMS were recruited. Reduced representation bisulfite sequencing (RRBS) was used to establish the differential DNA methylation profiles in human peripheral blood samples obtained from four non-EMS and four EMS patients with CCBS or QSBS syndrome, respectively. Differentially expressed genes (DEGs) were verified in 18 non-EMS, 38 CCBS-EMS, and 31 QSBS-EMS using pyrosequencing. Results: Methylation sites of 123942, 127229, and 115961 were found in peripheral blood DNA of non-EMS, CCBS-EMS, and QSBS-EMS patients, respectively. GO and KEGG analyses showed that the pathological process of EMS may be closely related to the nervous system development, cell junctions, GABA-gated chloride ion channel activity, nicotine addiction, Hippo signaling pathway, mRNA surveillance pathway, and Wnt signaling pathway. The methylation level at CpG site within HDAC6 gene in QSBS-EMS patients was significantly different from that in control women. Conclusions: The changes in DNA methylation in peripheral blood samples may be associated with EMS and TCM syndrome EMS types. The methylation level of HDAC6 gene may be used to distinguish QSBS-EMS patients from women without EMS.

Toward improved urban earthquake monitoring through deep-learning-based noise suppression.

Earthquake monitoring in urban settings is essential but challenging, due to the strong anthropogenic noise inherent to urban seismic recordings. Here, we develop a deep-learning-based denoising algorithm, UrbanDenoiser, to filter out urban seismological noise. UrbanDenoiser strongly suppresses noise relative to the signals, because it was trained using waveform datasets containing rich noise sources from the urban Long Beach dense array and high signal-to-noise ratio (SNR) earthquake signals from the rural San Jacinto dense array. Application to the dense array data and an earthquake sequence in an urban area shows that UrbanDenoiser can increase signal quality and recover signals at an SNR level down to ~0 dB. Earthquake location using our denoised Long Beach data does not support the presence of mantle seismicity beneath Los Angeles but suggests a fault model featuring shallow creep, intermediate locking, and localized stress concentration at the base of the seismogenic zone.

Towards mainstream partial nitritation/anammox in four seasons: Feasibility of bioaugmentation with stored summer sludge for winter anammox assistance.

The strong effect of low temperatures on anammox challenges its mainstream application over the winter in temperate climates. Winter bioaugmentation with stored summer surplus sludge is a potential solution to guarantee sufficient nitrogen removal in winter. Firstly, the systems for which nitrogen removal deteriorated by the temperature decrease (25 °C â†’ 20 °C) could be fully restored bioaugmenting with granules resp. flocs stored for 6 months at 118 resp. 220% of the initial biomass levels. Secondly, the reactivation of these stored sludges was tested in lower temperature systems (15.3 ± 0.4/10.4 ± 0.4 °C). Compared to the activity before storage, between 56% and 41% of the activity of granules was restored within one month, and 41%-32% for flocs. Additionally, 85-87% of granules and 50-53% of flocs were retained in the systems. After reactivation (15.3 ± 0.4/10.4 ± 0.4 °C), a more specialized community was formed (diversity decreased) with Candidatus Brocadia still dominant in terms of relative abundance. Capital and operating expenditures (CAPEX, OPEX) were negligible, representing only 0.19-0.36% of sewage treatment costs.