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Bioswales are best for phosphorus and bacteria removal; both wet swales and bioswales can also treat heavy metals. Selection of a swale type depends on the site constraints, local climate, and available funding for design, construction, and operation. Appropriate siting, pre-design site investigations, and consideration of future maintenance during design are critical to successful long-term swale performance. Swale design recommendations based on a synthesis of the available research are provided, but actual design standards should be developed using local empirical data. Future research is necessary to identify optimal design parameters for all swale types, especially for wet swales.We performed qualitative and quantitative analysis of surfaces of kefir biofilms loaded with Amazon rainforest fruit extract. Scanning electron microscopy and atomic force microscopy were used to evaluate the micromorphology of the biofilms. The films surface displayed a lower density of microorganisms (∼ 0.061 microorganisms/μm2) for the lowest concentration of fruit extract, however, a greater density (∼0.220 microorganisms/μm2) was observed for the higher concentration. Height stereometric parameters revealed that the biofilms with the highest concentration presented the highest roughness. However, almost all the stereometric parameters related to texture showed no significant difference. Furthermore, the Hurst coefficients of the average power spectrum density were similar for all biofilms. Fractal parameters confirmed that higher concentrations of fruit extract induced a superior topographic irregularity. However, fractal lacunarity does not show any significant difference confirming the similarity of the microtextures. Moreover, fractal succolarity and surface entropy exhibited values that suggested ideal percolation and strong topographic uniformity, respectively, indicating that these films can uniformly adhere to other surfaces. Our results confirm that the stereometric and fractal parameters can be relevant for the surface characterization of microbial films, which can be of great importance to the biomedical field.The development of plant-based protein polymers to employ in biofilm production represents the promising intersection between material science and sustainability, and allows to obtain biodegradable materials that also possess excellent physicochemical properties. A possible candidate for protein biopolymer production is phaseolin, a storage protein highly abundant in P Vulgaris beans. We previously showed that transformed tobacco chloroplasts could be employed to express a mutated phaseolin carrying a signal peptide (directing it into the thylakoids) also enriched of a cysteine residue added to its C-terminal region. This modification allows for the formation of inter-chain disulfide bonds, as we previously demonstrated, and should promote polymerization. To verify the effect of the peptide modification and to quantify polymer formation, we employed hollow-fiber flow field-flow fractionation coupled to UV and multi-angle laser scattering detection (HF5-UV-MALS) HF5 allows for the selective size-based separation of phaseolin species, whereas MALS calculates molar mass and conformation state of each population. With the use of two different HF5 separation methods we first observed the native state of P.Vulgaris phaseolin, mainly assembled into trimers, and compared it to mutated phaseolin (P*) which instead resulted highly aggregated. Then we further characterized P* using a second separation method, discriminating between two and distinct high-molecular weight (HMW) species, one averaging 0.8 × 106 Da and the second reaching the tens of million Da. Selleck AMI-1 Insight on the conformation of these HMW species was offered from their conformation plots, which confirmed the positive impact of the Cys modification on polymerization.Recent progress of stir bar sorptive extraction (SBSE) in the past six years is reviewed. The preparation methods including electrodeposition, self-assembly, solvent exchange, physical magnetic adsorption and electrostatic spinning, for the coated stir bar are summarized and compared, specifically for a specific material for coatings fabrication, e.g., carbon-based materials and metal organic frameworks. The emerging materials (e.g., graphene, graphene oxide, carbon nanotubes, monolith, metal-organic frameworks and porous organic polymers) applied for coated stir bar fabrication are one of the focus of this review, along with their respective advantages in extraction process and application in trace analysis. The development and application of extraction apparatus of SBSE are also involved. Based on these information, the development status and prospects of SBSE as an efficient sample pretreatment technique in real sample analysis are discussed.The incidence of thyroid cancer is increasing worldwide. So far, still no non-invasive clinical test biomarkers were developed for the diagnosis of thyroid cancer. The diiodothyronines (T2s) are precursors and metabolites of thyroid hormone (T4). Some reports predict that T2s may be associated with several thyroid diseases, especially the thyroid cancer. Detecting free T2s in human serum may help the diagnosis of thyroid cancer. However, few works have reported the detection of T2s due to their trace amounts. Here we developed a novel hyper organic cross-linked poly ionic liquid (PIL) material for the enrichment of three main compounds in T2s family, including 3,5- diiodothyronine (3,5-T2), 3′,5′-diiodothyronine (3′,5′-T2), and 3,5-diiodothyronamine (3,5-T2AM). This PIL material provided specific enrichment superiority for three T2s. After enrichment, the signal intensity of 3,5-T2, 3′,5′-T2, and 3,5-T2AM increased 14, 132 and 1.6 folds, respectively, with LOQ of 76, 87, and 107 fM, respectively. Finally, we successfully applied PIL material coupled with HPLC-ESI-MS/MS in enrichment and quantitative determination of free 3,5-T2, 3′,5′-T2, and 3,5-T2AM in human serum of 45 thyroid cancer patients and 15 healthy people. We also used free thyroid hormone (FT4) as the calibration reference to eliminate individual differences. We found that the levels of 3,5-T2 (P less then 0.001), and 3′,5′-T2 (P = 0.001) in patients with thyroid cancer were significantly higher than those in healthy people. Additionally, we further investigated the power of different T2 thyroid hormones divided FT4 to classify thyroid cancer patients and healthy people. And 3,5-T2/FT4 had the highest classification performance for discriminating thyroid cancer patients from healthy people at certain threshold, indicating that 3,5-T2/FT4 in human serum can act as potential biomarkers for “non-invasive” clinical diagnosis of thyroid cancer.CRISPR-associated proteins that produce a signal in the presence of a target nucleic acid represent potentially powerful tools for diagnostics, but they also exhibit shortfalls that plague many CRISPR systems. For instance, not all targets elicit robust activity, which challenges the timely development of sensitive assays, and though many such tests have been reported, they often avoid discussion of the crRNA design and screening process. Here, motivated by the desire to detect the Yersinia pestis lcrV virulence gene, we detail the process involved in developing components for a CRISPR-based test that provides sensitive and specific identification of this sequence using Cas13a. This includes detailing the diversity of crRNA performance, identifying sequence that enable detection with attomolar sensitivity and species-level specificity, and presenting a method for simple streamlining of the crRNA screening process to allow for the high-throughput testing required for developing assay design rules in the future.We evaluated the effects of repeated subanesthetic ketamine infusions on suicidal ideation (SI) in patients with major depression. 82 subjects with treatment-resistant unipolar and bipolar depression completed a two-site open-label case-series of repeated (up to four weeks) infusions of ketamine (0.5 mg/kg). Ketamine produced a significant reduction in SI as early as one hour (71.1%) and up to 1-week post-infusion (60.4%), accompanied by a reduction in overall depressive symptoms which were maintained until the 4th week. The observed anti-suicidal effect was independent of mood changes, as patients whose mood did not respond still exhibited significantly less SI than baseline.To investigate the immediate and lasting effects of transcranial electrical stimulation (tES) on working memory (WM) in schizophrenia. We performed a literature search to identify randomized controlled trials (RCTs) evaluating the ability of tES to ameliorate WM. Twelve studies were included 215 patients in the active stimulation group and 214 in the sham stimulation group. Meta-analysis demonstrated a significant efficacy of tES on WM in follow up, a summary of one or more assessments weeks after the last tES session (standardized mean difference (SMD) 0.33, 95% confidence interval (CI) 0.04 to 0.62; p = 0.02; n = 190, 4 studies; I2 = 33%) compared to sham tES, while non-significant results were observed for WM assessed immediately after the last tES session (SMD 0.14, 95% CI -0.12 to 0.41; p = 0.30; n = 417, 11 studies; I2 = 41%) in schizophrenia. There was no significant difference between the two groups in tolerability and dropouts. Evidence of low quality indicates that effects of tES on WM in schizophrenia may appear a few weeks after the last tES session, but not always be present when tested immediately after the last tES session. Further large-scale RCTs with a parallel-group design, sample size estimation and a longer follow-up period are needed.This is the first study to examine the association between COVID-19 related variables and loneliness among young adults in South Africa during COVID-19. Participants (N=337) were university students who completed the UCLA Loneliness Scale and five selected subscales of the WHO COVID-19 Behavioural Insights Tool. The mean loneliness scores were significantly higher than previous studies in other contexts as well as studies conducted in the time of COVID-19. Correlational analysis found that greater perceived risk of infection, limited perceived knowledge of COVID-19 and lower appraisals of resilience were associated with increased loneliness. In a regression analysis, when all COVID-19 variables were considered simultaneously, only resilience, self-rated knowledge, and risk perception emerged as significant correlates of loneliness. These findings suggest that loneliness is a significant public health concern in South Africa in the time of COVID-19. It also suggests that self-efficacy and resilience can potentially be reinforced by public health campaigns that focus on enhancing COVID-19-related knowledge and preparedness.Most of the animal studies using inflammation-induced cognitive change have relied on behavioral testing without objective and biologically solid methods to quantify the severity of cognitive disturbances. We have developed a bispectral EEG (BSEEG) method using a novel algorithm in clinical study. This method effectively differentiates between patients with and without delirium, and predict long-term mortality. In the present study, we aimed to apply our bispectral EEG (BSEEG) method, which can detect patients with delirium, to a mouse model of delirium with systemic inflammation induced by lipopolysaccharides (LPS) injection. We recorded EEG after LPS injection using wildtype early adulthood mice (2~3-month-old) and aged mice (18-19-month-old). Animal EEG recordings were converted for power spectral density to calculate BSEEG score using the similar BSEEG algorithm previously developed for our human study. The BSEEG score was relatively stable and slightly high during the day. Alternatively, the BSEEG score was erratic and low in average during the night.