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Funding Acknowledgements Type of funding sources: Private company. Main funding source(s): Abbott Introduction Novel catheter ablation technologies (e.g. RF with contiguous lesions) for pulmonary vein isolation (PVI) achieve high (80-85%) arrhythmia freedom rates at 12 months in both paroxysmal and persistent AF. However, success rates are importantly reduced (45-50%) in persistent AF patients presenting atrial cardiomyopathy with additional low voltage areas in the left atrial body. Aim SOLVE-AF study is a prospective randomized multicenter study, in which the standard approach "circumferential PVI" is compared to "additional ablation of low voltage areas and ablation of slow conducting "atrial late potentials (ALPs)" during sinus rhythm (SR)". Methods 320 patients with persistent AF will be included. Patients undergo left atrial high definition voltage mapping in SR. 160 patients with low voltage areas (5cm2) within the LA body will be randomized to "circumferential-PVI" vs. "additional low-voltage-guided ablation". The remaining 160 without low voltage substrate (registry group) will undergo "circumferential-PVI". Arrhythmia recurrences (defined as AF/AT >30 sec) will be assessed at 6 and 12 months (7-day-Holter and event-recorder) following ablation therapy (top panel). Results Currently, 120 patients have been included into the registry group and 120 patients with low voltage substrate have been randomized. Results of the SOLVE-AF-pilot study including a total of 210 patients (110 registry patients without LA-LVS and 100 patients with LA-LVS who were assigned to PVI-only versus additional substrate-based ablation) at the University-Heart-Center-FR-BK favor "PVI plus substrate-based ablation" in those patients who do present significant low voltage areas (see KM-curve bottom panel). Conclusions Results from the pilot trial suggests improved arrhythmia freedom rate with PVI plus additional substrate-based ablation during sinus rhythm. Final results of the prospective randomized multi-center trial SOLVE-AF are expected in June 2024.

We recently demonstrated the presence of naturalized populations of Escherichia coli in municipal sewage. We wanted to develop a quantitative polymerase chain reaction (qPCR) assay targeting the uspC-IS30-flhDC marker of naturalized wastewater E. coli and assess the prevalence of these naturalized strains in wastewater. The limit of detection for the qPCR assay was 3.0 × 10−8 ng of plasmid DNA template with 100% specificity. This strain was detected throughout the wastewater treatment process, including treated effluents. We evaluated the potential of this marker for detecting municipal sewage/wastewater contamination in water by comparing it to other human and animal markers of fecal pollution. Strong correlations were observed between the uspC-IS30-flhDC marker and the human fecal markers Bacteroides HF183 and HumM2, but not animal fecal markers, in surface and stormwater samples. The uspC-IS30-flhDC marker appears to be a potential E. coli-based marker for human wastewater contamination.

Consuming fat results in postprandial lipemia, which is defined as an increase in blood triglyceride (TG) concentration. According to current knowledge, an excessively elevated postprandial TG concentration increases the risk of cardiovascular disease (CVD). It is well known that meal-dependent (e.g., nutrient composition) as well as meal-independent factors (e.g., age) determine the magnitude of the lipemic response. However, there is conflicting evidence concerning the influence of fatty acid (FA) composition on postprandial TG concentration. The FA composition of a meal depends on the fat source used; for example, butter and coconut oil are rich in SFAs, while olive oil and canola oil have a high content of unsaturated FAs. To investigate the influence of meals prepared with fat sources rich in either SFAs or unsaturated FAs on postprandial lipemia, we carried out a systematic literature search in PubMed, Scopus, and the Cochrane Library. Randomized crossover studies were analyzed and the AUC of postprandial TG concentration served as the primary outcome measure. To examine the influence of health status, we differentiated between metabolically healthy individuals and those with CVD risk factors. In total, 23 studies were included. The results show that, in metabolically healthy adults, the FA composition of a meal is not a relevant determinant of postprandial lipemia. However, in individuals with CVD risk factors, SFA-rich meals (>32 g SFA/meal) often elicited a stronger lipemic response than meals rich in unsaturated FAs. The results suggest that adults with hypertriglyceridemia, an elevated BMI (≥30 kg/m(2)), and/or who are older (>40 y) may benefit from replacing SFA sources with unsaturated FAs. These hypotheses need to be verified by further studies in people with CVD risk factors using standardized postprandial protocols. This review was registered in PROSPERO as CRD42021214508 (https://www.crd.york.ac.uk/prospero/).

Hintergrund: Über das Risiko einer Virusinfektion mit dem schweren akuten Atemwegssyndrom Coronavirus 2 (SARS-CoV-2) bei Krebspatienten, von denen viele immungeschwächt und damit anfälliger für eine Vielzahl von Infektionen sind, ist sehr wenig bekannt. Als Vorsichtsmaßnahme haben viele klinische Studien während der ersten Welle der weltweiten Pandemie des neuartigen Coronavirus (COVID-19) die Aufnahme von Patienten pausiert. In diesem Fallbericht beschreiben wir die erfolgreiche Behandlung eines Patienten mit rezidiviertem und refraktärem Multiplem Myelom (MM), der unmittelbar nach der klinischen Genesung von COVID-19 mit einer chimären Antigenrezeptor (CAR)-T-Zelltherapie mit Anti-B-Zellreifungsantigen (BCMA) behandelt wurde. Fallvorstellung: Der 57-jährige weiße männliche Patient war seit 4 Jahren an MM erkrankt und galt bei der Vorstellung zur CAR-T-Zelltherapie als pentarefraktär. Er hatte eine Immunsuppression in seiner medizinischen Vorgeschichte und er erhielt am Tag vor der COVID-19-Diagnose eine Dosis lymphdepletierender Chemotherapie (LDC). Dieser Patient konnte eine erhebliche Immunantwort gegen das SARS-CoV-2-Virus aufbauen, und antivirale Antikörper bleiben auch 2 Monate nach Erhalt einer Anti-BCMA-CAR-T-Zelltherapie noch nachweisbar. Die kürzliche SARS-CoV-2-Infektion bei diesem Patienten führte nicht zu einer Exazerbation des CAR-T-assoziierten Zytokin-Freisetzungssyndroms (CRS) und umgekehrt führte die CAR-T-Zelltherapie nicht zu Komplikationen im Zusammenhang mit COVID-19. Einen Monat nach der CAR-T-Zell-Infusion wurde bei dem Patienten ein unbestätigtes partielles Ansprechen nach den Kriterien der International Myeloma Working Group (IMWG) festgestellt. Schlussfolgerung: Unser Fall liefert einen wichtigen Kontext für die Wahl der Behandlung von MM-Patienten in Zeiten von COVID-19 sowie für die Frage, ob die CAR-T-Therapie auch bei Patienten verabreicht werden kann, die von COVID-19 genesen sind. Da die COVID-19-Pandemie weltweit anhält, ist eine umfangreiche Diskussion über die Entscheidung, ob mit der CAR-T-Zelltherapie fortgefahren werden soll, erforderlich, wobei die potenziellen Risiken und Vorteile der Therapie gegeneinander abgewogen werden müssen. Dieser Fall legt nahe, dass es möglich ist, die Anti-BCMA-CAR-T-Zelltherapie nach der Genesung von COVID-19 erfolgreich abzuschließen. Die Studie CRB-402 wurde am 6. September 2017 bei clinicaltrials.gov registriert (NCT03274219).

This paper presents a three-dimensional CFD based hydro-environmental model that simulates fate and transport of bacteria in water bodies. The model numerically solves unsteady incompressible Reynolds-Averaged Navier-Stokes equations on a structured grid. Free-floating and particle-attached bacteria were modelled separately regarding both fate and transport. Therefore, a sediment transport model was integrated into the main model in order to model particle-attached bacteria transport. In addition, Volume of Fluid approach was implemented to capture the water surface movements. Wind effect was also considered in the modelling using shear stress on the water surface. Since stormwater reuse is the source of some public health concerns, a stormwater pond was chosen as the test case for the model. The model was applied to simulate the distribution of bacterial indicator organisms in the Inverness Stormwater Pond in Calgary, Alberta, which is a large T-shaped pond with several inlets and outlets. The bacteria distribution in the pond was simulated for three rain events that occurred in the area. In six locations of the pond the modelled bacteria distribution was compared to collected data using non-dimensional bacteria concentrations. The comparison showed good agreement and indicated that the middle of the pond, close to the surface had the lowest levels of bacteria and thus, was considered the optimal location for withdrawal for reusing pond water. Furthermore, planting a tree barrier on the north bank of the West wing of the pond was shown to mitigate bacteria transport away from the inlets into the pond body and substantially decrease the risk of contamination at the optimal water withdrawal location.

Historically, bacteriologists have relied heavily on biochemical and structural phenotypes for bacterial taxonomic classification. However, advances in comparative genomics have led to greater insights into the remarkable genetic diversity within the microbial world, and even within well-accepted species such as Escherichia coli. The extraordinary genetic diversity in E. coli recapitulates the evolutionary radiation of this species in exploiting a wide range of niches (i.e., ecotypes), including the gastrointestinal system of diverse vertebrate hosts as well as non-host natural environments (soil, natural waters, wastewater), which drives the adaptation, natural selection, and evolution of intragenotypic conspecific specialism as a strategy for survival. Over the last few years, there has been increasing evidence that many E. coli strains are very host (or niche)-specific. While biochemical and phylogenetic evidence support the classification of E. coli as a distinct species, the vast genomic (diverse pan-genome and intragenotypic variability), phenotypic (e.g., metabolic pathways), and ecotypic (host-/niche-specificity) diversity, comparable to the diversity observed in known species complexes, suggest that E. coli is better represented as a complex. Herein we review the taxonomic classification of the genus Escherichia and discuss how phenotype, genotype, and ecotype recapitulate our understanding of the biology of this remarkable bacterium.

A growing body of evidence indicates that extraintestinal pathogenic E. coli (ExPEC) readily survive wastewater treatment, raising concerns about the public health risks associated with exposure to wastewater-contaminated environments. In this study, E. coli isolates recovered from chlorinated sewage or treated wastewater effluents in Canada were screened for ExPEC virulence markers. Eighty-six isolates were identified as presumptive ExPEC, clustering within major pandemic lineages including ST131, ST95, and ST73 according to multilocus sequence typing analyses. Across the whole, core, and accessory genome, 37 isolates were extremely similar to clinical bloodborne E. coli (BBEC) and neonatal meningitic E. coli (NMEC) strains, suggesting that these wastewater isolates may exhibit a similar phenotypically related pathogenic potential. Interestingly, ExPEC strains also shared accessory gene content with naturalized wastewater strains, suggesting a common genetic capacity for surviving water treatment. Collectively, these findings suggest that E. coli strains that may cause septicemia and meningitis are surviving wastewater treatment and may be transmissible through wastewater effluents.

Antibiotic resistance represents one of the most pressing concerns facing public health today. While the current antibiotic resistance crisis has been driven primarily by the anthropogenic overuse of antibiotics in human and animal health, recent efforts have revealed several important environmental dimensions underlying this public health issue. Antibiotic resistant (AR) microbes, AR genes, and antibiotics have all been found widespread in natural environments, reflecting the ancient origins of this phenomenon. In addition, modern societal advancements in sanitation engineering (i.e., sewage treatment) have also contributed to the dissemination of resistance, and concerningly, may also be promoting the evolution of resistance to water treatment. This is reflected in the recent characterization of naturalized wastewater strains of Escherichia coli—strains that appear to be adapted to live in wastewater (and meat packing plants). These strains carry a plethora of stress-resistance genes against common treatment processes, such as chlorination, heat, UV light, and advanced oxidation, mechanisms which potentially facilitate their survival during sewage treatment. These strains also carry an abundance of common antibiotic resistance genes, and evidence suggests that resistance to some antibiotics is linked to resistance to treatment (e.g., tetracycline resistance and chlorine resistance). As such, these naturalized E. coli populations may be co-evolving resistance against both antibiotics and water treatment. Recently, extraintestinal pathogenic strains of E. coli (ExPEC) have also been shown to exhibit phenotypic resistance to water treatment, seemingly associated with the presence of various shared genetic elements with naturalized wastewater E. coli. Consequently, some pathogenic microbes may also be evolving resistance to the two most important public health interventions for controlling infectious disease in modern society—antibiotic therapy and water treatment.

Approximately 238,000 to 450,000 Albertans rely on private water wells for their water needs. In Canada, private well owners are responsible for monitoring and maintaining the quality of their wate...

Shiga-toxin-producing Escherichia coli (STEC) represent a major concern for waterborne disease outbreaks associated with consumption of contaminated groundwater. Over 4 million people rely on private groundwater systems as their primary drinking water source in Canada; many of these systems do not meet current standards for water quality. This manuscript provides a scoping overview of studies examining STEC prevalence and occurrence in groundwater, and it includes a synopsis of the environmental variables affecting survival, transport, persistence, and overall occurrence of these important pathogenic microbes in private groundwater wells used for drinking purposes.

Xanthohumol is the main prenylflavonoid in hops and has been associated with a wide range of health benefits, due to its anti-inflammatory, anti-oxidative, and cancer-preventive properties. Increasing evidence suggests that xanthohumol positively affects biomarkers associated with metabolic syndrome and cardiovascular diseases (CVDs). This review summarizes the effects of xanthohumol supplementation on body weight, lipid and glucose metabolism, systemic inflammation, and redox status. In addition, it provides insights into the pharmacokinetics of xanthohumol intake. Animal studies show that xanthohumol exerts beneficial effects on body weight, lipid profile, glucose metabolism, and other biochemical parameters associated with metabolic syndrome and CVDs. Although in vitro studies are increasingly elucidating the responsible mechanisms, the overall in vivo results are currently inconsistent and quantitatively insufficient. Pharmacokinetic and safety studies confirm that intake of xanthohumol is safe and well tolerated in both animals and humans. However, little is known about the metabolism of xanthohumol in the human body, and even less about its effects on body weight and CVD risk factors. There is an urgent need for studies investigating whether the effects of xanthohumol on body weight and cardiometabolic parameters observe in animal studies are reproducible in humans, and what dosage, formulation, and intervention period are required.

Antibiotic resistance represents one of the most pressing concerns facing public health today. While the current antibiotic resistance crisis has been driven primarily by the anthropogenic overuse of antibiotics in human and animal health, recent efforts have revealed several important environmental dimensions underlying this public health issue. Antibiotic resistant (AR) microbes, AR genes, and antibiotics have all been found widespread in natural environments, reflecting the ancient origins of this phenomenon. In addition, modern societal advancements in sanitation engineering (i.e., sewage treatment) have also contributed to the dissemination of resistance, and concerningly, may also be promoting the evolution of resistance to water treatment. This is reflected in the recent characterization of naturalized wastewater strains of

This paper aims to (i) quantify water use during the milk production process in a farm in southern Brazil, (ii) propose measures to reduce it, and (iii) elaborate and subsequently implement educational and structural measures promoting water-use efficiency and final disposal of the manure produced. The research was conducted during 6 months and it was divided into three field stages. The first stage identified and quantified the multiple uses of water during milk production, using water meters. In the second stage, reduction measures were implemented to reduce the water use. Finally, in the third stage, a series of educational and structural measures were elaborated with the validated measures. The average water disappearance (intake + waste) measured was 98 L·cow−1·d−1, decreasing to 83 L·cow−1·d−1 and 91 L·cow−1·d−1 at the second and third stages, respectively. The modification of the cleaning and disinfection process was the most efficient measure, saving 8.5 litres per day. The potential saving of all the measures combined was 17 L·cow−1·d−1. Seeking to increase even more the water economy, the resulting series of recommended measures covered the whole cycle of water disappearance in the milking process.

Calorie intake plays an important role in maintaining a healthy weight. As such, researchers often use the calorie content of food as a distinction when investigating appetite related brain processes and eating behaviour. This distinction assumes that observers accurately perceive caloric content. However, there is evidence suggesting this is not always the case. The current study examined how accurately observers could estimate the caloric content of food images from the widely used "Food-pics" database. Eight hundred and forty psychology undergraduate students (aged 16-60, 64% female) estimated the caloric value of 178 high and 182 low calorie foods. Calorie content of food from both categories was significantly overestimated. Additionally, 7.7% of low calorie images were misperceived as being high calorie images and 35% of high calorie images were misperceived as being low calorie foods. Neither participants' gender, nor the recognisability and likability of the food images, influenced calorie estimation. Our findings show that most people are unable to accurately estimate caloric content of most food. Despite this, a selection of food images were judged accurately, and we advocate the use of these in research where it is important to have low- and high-calorie food images. Specifically, we propose an optimised stimulus set of 25 high and 25 low calorie food images that are accurately judged by adult participants. In addition, we provide the open source dataset of our ratings of Food-pics images which, when added to the existing Food-pics attributes, creates an enhanced tool for researchers selecting food stimuli.

Pathogen inactivation due to temperature exposure was studied in full-scale covered aerated static piles (CASP) treating municipal biosolids. The objectives of the study were to assess the ...

We previously demonstrated the existence of naturalized strains of E. coli in wastewater and herein perform an in-depth comparative whole genome analysis of these strains (n = 17). Fourteen of the Canadian E. coli strains, isolated from geographically separated wastewater treatment plants, were virtually identical at the core genome and were ≥96% similar at the whole genome level, suggesting clonal-relatedness among these isolates. Remarkably, these strains were shown to be extremely similar to the genome of an E. coli isolated from wastewater in Switzerland, suggesting a global distribution of these strains. The genomes of three other Canadian wastewater strains were more diverse but very similar to the genomes of E. coli isolates collected from U.S. wastewater samples. Based on maximum likelihood phylogenetic analysis, wastewater strains from Canada, the U.S. and Switzerland formed a clade separate from other known enteric phylogroups (i.e., A, B1, B2, D, E) and the cryptic clades. All Canadian, Swiss and U.S. wastewater strains possessed a common SNP biomarker pattern across their genomes, and a sub-population (i.e., 14 Canadian and 1 Swiss strain) also possessed a previously identified wastewater-specific marker known as uspC-IS30-flhDC element. Biochemical heat mapping of 518 categories of genes recapitulated phylogeny, with wastewater strains phenotypically clustering separately from enteric and cryptic clades. Wastewater strains were enriched for stress-response genes (i.e., nutrient acquisition/deprivation, DNA repair, oxidative stress, and UV resistance) - elements reflective of their environmental survival challenges. Wastewater strains were shown to carry a plethora of known antibiotic resistance (AR) genes, the patterns of which were remarkably similar among all Canadian, U.S. and Swiss wastewater strains. Virulence gene composition was also similar among all the wastewater strains, with an abundant representation of virulence genes commonly associated with urinary pathogenic E. coli (UPEC) as well as enterohemorrhagic (EHEC) E. coli. The remarkable degree of similarity between all wastewater strains from Canada, Switzerland and the U.S. suggests the evolution and global-dissemination of water treatment-resistant clone of E. coli. These finding, along with others, raise some important concerns about the potential for emergence of E. coli pathotypes resistant to water-treatment.

The prevalence and seasonal variation of 7 viruses in 6 major rivers in Alberta were assessed using a combination of qPCR, cell culture and integrated cell culture with qPCR (ICC-qPCR). Water samples were collected monthly from rivers at different sites upstream and downstream of major urban centers. Seven viruses including rotavirus, adenovirus, astrovirus, norovirus, sapovirus, JC virus and enterovirus, were detected in at least one of the water samples at each site using qPCR. Rotavirus was most common with concentration ranging from 2.3 to 4.5 log10 genomic equivalent (GE) copies/L. Norovirus, sapovirus, astrovirus, adenoviruses and JC virus peaked during the winter (November to March). Viruses were most prevalent at the Bow River sampling site downstream of the City of Calgary, followed by the North Saskatchewan River site downstream of the City of Edmonton and the Red Deer River site downstream of the City of Red Deer. The detection rates and quantity of viruses had significant difference in the sampling sites between upstream and downstream of major urban centers (p

Background Very little is known about the risk that severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral infection poses to cancer patients, many of whom are immune compromised causing them to be more susceptible to a host of infections. As a precautionary measure, many clinical studies halted enrollment during the initial surge of the global Novel Coronavirus Disease (COVID-19) pandemic. In this case report, we detail the successful treatment of a relapsed and refractory multiple myeloma (MM) patient treated with an anti-B cell maturation antigen (BCMA) chimeric antigen receptor (CAR) T cell therapy immediately following clinical recovery from COVID-19. Case presentation The 57 year old Caucasian male patient had a 4-year history of MM and was considered penta-refractory upon presentation for CAR T cell therapy. He had a history of immunosuppression and received one dose of lymphodepleting chemotherapy (LDC) the day prior to COVID-19 diagnosis; this patient was able to mount a substantial immune response against the SARS-CoV-2 virus, and antiviral antibodies remain detectable 2 months after receiving anti-BCMA CAR T cell therapy. The recent SARS-CoV-2 infection in this patient did not exacerbate CAR T-associated cytokine release syndrome (CRS) and conversely the CAR T cell therapy did not result in COVID-19-related complications. One month after CAR T cell infusion, the patient was assessed to have an unconfirmed partial response per International Myeloma Working Group (IMWG) criteria. Conclusion Our case adds important context around treatment choice for MM patients in the era of COVID-19 and whether CAR T therapy can be administered to patients who have recovered from COVID-19. As the COVID-19 global pandemic continues, the decision of whether to proceed with CAR T cell therapy will require extensive discussion weighing the potential risks and benefits of therapy. This case suggests that it is possible to successfully complete anti-BCMA CAR T cell therapy after recovery from COVID-19. CRB-402 study registered 6 September 2017 at clinicaltrials.gov (NCT03274219).

The linear discriminant analysis (LDA) is a common technique used in machine learning and pattern recognition for dimensionality reduction problems. Here, the LDA is applied to detect faults-scarps in high-resolution bathymetric profiles in the Southern Pescadero Basin (SPB) in the Gulf of California. The LDA uses fault scarps and cuestas (sloping topography) identified by a geomorphologist in the neighboring Alarcón Rise (AR). These geometric representations are transformed into a parametric space by an idealized fault-scarp degradation model. Through inversion, we extracted the product of the mass diffusion coefficient with time (τ), scarp height (u0), and goodness of fit of the model on the scarp profiles and cuestas (ε). The LDA transforms the parametric space τ, u0, ε by the Fisher’s criterion into a 1D dimensional space that maximizes separability of classes. Then, the classification is performed by Bayes decision rule using the probability density functions (PDF) built from the 1D projected data for each class (fault-scarps and cuestas). The implementation results in cross-sectional profiles across the SPB show the ability to detect faults in the deepest part of the basin where the flat basin floor is interrupted by morphologically young fault-scarp arrays. The LDA interpretation outperforms manual identification, particularly in faults scarps that are longer than ∼3 km, whereas shorter faults are challenging to discern from other linear features like channels. The model can extract information about the state of degradation of the scarps. This application allows the identification of fault generation episodes and resolves kinematic interactions between faults.

Due to the typically large sizes of many stormwater ponds, numerically modeling the bacteria fate and transport within these ponds is more practical than in situ monitoring. However, bacteria fate and transport models lack proper verification and rely on numerous assumptions without proper validation of these assumptions. In this paper, a sophisticated hydrodynamic model is developed for estimating bacteria levels in the Inverness stormwater pond, in Calgary, Alberta, Canada, and is verified in two ways. First, the bacteria concentrations predicted by the developed model for several locations within the pond were compared to data collected during two separate field campaigns at the pond. Good agreement was observed and while it was found that contamination increased over time between the two field campaigns, the most contaminated location was consistently in the west wing. Second, fluid flow velocity vectors in numerous locations were measured and compared with the modeled results. The impacts of model assumptions and inputs on the bacteria distribution in the pond were also assessed. The model was run for various particle-attachment rate and sizes, various rain hyetographs and various wind conditions. It was found that synthetic hyetographs can be used for design purposes to find the optimal location for withdrawal. The effect of wind direction was found to be event specific and location specific. In general, wind was found to play a crucial role in the bacteria distribution in the pond.

Permeability is the key parameter for quantifying fluid flow in porous rocks. Knowledge of the spatial distribution of the connected pore space allows, in principle, to predict the permeability of a rock sample. However, limitations in feature resolution and approximations at microscopic scales have so far precluded systematic upscaling of permeability predictions. Here, we report fluid flow simulations in capillary network representations designed to overcome such limitations. Performed with an unprecedented level of accuracy in geometric approximation at microscale, the pore scale flow simulations predict experimental permeabilities measured at lab scale in the same rock sample without the need for calibration or correction. By applying the method to a broader class of representative geological samples, with permeability values covering two orders of magnitude, we obtain scaling relationships that reveal how mesoscale permeability emerges from microscopic capillary diameter and fluid velocity distributions., Comment: Main article: 11 pages and 4 figures. Supplementary Information: 6 pages and 4 figures. Version 2 includes DOI for microCT dataset

A velocity meter was designed and built in order to meet market needs for an affordable instrument that measures the range of velocity magnitudes and direction experienced in medium- to large-sized water bodies. The velocity meter consists of a graduated plate with an injector protruding from the center and a camera held downward above the plate. Once the Dye Injection Velocity (DIV) meter is in the flow, dye is injected and the camera records the dye fluid transport. The recorded video is analyzed to determine the local flow velocity and direction. The DIV was calibrated for a range of velocities between 0.0094 m/s and 0.1566 m/s using particle image velocimetry (PIV) in a flow visualization flume. The accuracy of the instrument was found to be +6.3% and −9.8% of full scale. The coefficient of determination of the calibration curve was equal to 98%. Once calibrated, the DIV was deployed to the Inverness Stormwater pond in Calgary, Canada, for validation tests against an Acoustic Doppler Velocity (ADV) meter. During the validation tests, both flow velocity magnitude and direction were measured at several spatial points. The velocity magnitude results showed good agreement and the Mann-Whitney test showed no statistically significant difference (p-value > 0.05). At two spatial points, the differences between direction data were significant, which could be caused by the random errors involved in the validation test. However, the averaged data showed good agreement.

Some chlorine-resistant Escherichia coli isolates harbor the locus of heat resistance (LHR), a genomic island conferring heat resistance. In this study, the protective effect of the LHR for cells challenged by chlorine and oxidative stress was quantified. Cloning of the LHR protected against NaClO (32 mM; 5 min), H(2)O(2) (120 mM; 5 min), and peroxyacetic acid (105 mg/liter; 5 min) but not against 5.8 mM KIO(4), 10 mM acrolein, or 75 mg/liter allyl isothiocyanate. The lethality of oxidizing treatments for LHR-negative strains of E. coli was about 2 log(10) CFU/ml higher than that for LHR-positive strains of E. coli. The oxidation of cytoplasmic proteins and membrane lipids was quantified with the fusion probe roGFP2-Orp1 and the fluorescent probe BODIPY(581/591), respectively. The fragment of the LHR coding for heat shock proteins protected cytoplasmic proteins but not membrane lipids against oxidation. The middle fragment of the LHR protected against the oxidation of membrane lipids but not of cytoplasmic proteins. The addition of H(2)O(2), NaClO, and peroxyacetic acid also induced green fluorescent protein (GFP) expression in the oxidation-sensitive reporter strain E. coli O104:H4 Δstx(2)::gfp::amp. Cloning of pLHR reduced phage induction in E. coli O104:H4 Δstx(2)::gfp::amp after treatment with oxidizing chemicals. Screening of 160 strains of Shiga toxin-producing E. coli (STEC) revealed that none of them harbors the LHR, additionally suggesting that the LHR and Stx prophages are mutually exclusive. Taking our findings together, the contribution of the LHR to resistance to chlorine and oxidative stress is based on the protection of multiple cellular targets by different proteins encoded by the genetic island. IMPORTANCE Chlorine treatments are used in water and wastewater sanitation; the resistance of Escherichia coli to chlorine is thus of concern to public health. We show that a genetic island termed the locus of heat resistance (LHR) protects E. coli not only against heat but also against chlorine and other oxidizing chemicals, adding to our knowledge of the tools used by E. coli to resist stress. Specific detection of the oxidation of different cellular targets in combination with the cloning of fragments of the LHR provided insight into mechanisms of protection and demonstrated that different fragments of the LHR protect different cellular targets. In E. coli, the presence of the LHR virtually always excluded other virulence factors. It is tempting to speculate that the LHR is maintained by strains of E. coli with an environmental lifestyle but is excluded by pathogenic strains that adapted to interact with vertebrate hosts.

Trustworthiness is assumed to be processed implicitly from faces, despite the fact that the overwhelming majority of research has only involved explicit trustworthiness judgements. To answer the question whether or not trustworthiness processing can be implicit, we apply an electroencephalography fast periodic visual stimulation (FPVS) paradigm, where electrophysiological cortical activity is triggered in synchrony with facial trustworthiness cues, without explicit judgements. Face images were presented at 6 Hz, with facial trustworthiness varying at 1 Hz. Significant responses at 1 Hz were observed, indicating that differences in the trustworthiness of the faces were reflected in the neural signature. These responses were significantly reduced for inverted faces, suggesting that the results are associated with higher order face processing. The neural responses were reliable, and correlated with explicit trustworthiness judgements, suggesting that the technique is capable of picking up on stable individual differences in trustworthiness processing. By demonstrating neural activity associated with implicit trustworthiness judgements, our results contribute to resolving a key theoretical debate. Moreover, our data show that FPVS is a valuable tool to examine face processing at the individual level, with potential application in pre-verbal and clinical populations who struggle with verbalization, understanding or memory.

People can accurately assess the "mood of a crowd" by rapidly extracting the average intensity of all the individual expressions, when the crowd consists of a set of faces comprising different expressions of the same individual. Here, we investigate the processes involved when people judge the expression intensity of individual faces that appear in the context of a more naturalistic crowd of different individuals' faces. We show that judgments of the intensity of happy and angry expressions for individual faces are biased toward the group mean expression intensity, even when the faces are all different individuals. In a second experiment, we demonstrate that this bias is not due to a generic tendency to endorse intermediate intensity expressions more frequently than more extreme intensity expressions. Together, these findings suggest that people integrate ensemble information about the group average expression when they make judgments of individual faces' expressions. (PsycINFO Database Record

The prevalence and levels of enteric viruses in untreated groundwater of private wells used for drinking and/or agricultural practices in rural Alberta were studied using the qPCR panel assay, integrated cell culture with qPCR and cell culture in the volume of 500 liters per sample through serial sampling. Seven viruses were assessed including adenovirus, rotavirus, norovirus, astrovirus, sapovirus, reovirus and JC virus. Five viruses were detected with an overall positive detection rate of 6.33 % (45 of 711 samples). The most frequently detected virus was adenovirus (48.9%, 22/45) followed by rotavirus (44.4%, 20/45), reovirus (20%, 9/45), JC virus (6.7%, 3/45) and norovirus (6.7%, 3/45). There was no significant difference in the positive detection rates, ranging from 1.1% to 3.4% by various well settings used for broiler farms, cow/calf farms, feedlots and rural acreages. Effects of well characteristics (aquifer type, well depth, static level of water, well seal) and well completion lithology on potential viral contamination of groundwater of private wells were also analyzed upon available data. The findings demonstrate that occurrence of enteric viruses is low and viral contamination is sporadic in groundwater of private wells in rural Alberta. Conventional fecal bacterial indicators (coliform and/or E. coli) were not a representative marker for viral contamination in groundwater wells in rural Alberta.

Analysis of nanoscale liquids, including wetting and flow phenomena, is a scientific challenge with far reaching implications for industrial technologies. We report the conception, development, and application of an integrated platform for the experimental characterization of liquids at the nanometer scale. The platform combines the functionalities of a two-dimensional electronic array of sensor devices with in situ application of highly sensitive optical microspectroscopy and atomic force microscopy. We demonstrate the performance capabilities of the platform with an embodiment based on an array of optically transparent graphene sensors. The application of electronic and optical sensing in the platform allows for differentiating between liquids electronically, for determining a liquid's molecular fingerprint, and for monitoring surface wetting dynamics in real time. In order to explore the platform's sensitivity limits, we record topographies and optical spectra of individual, spatially isolated sessile oil emulsion droplets having volumes of less than ten attoliters. The results demonstrate that integrated measurement functionalities based on two-dimensional materials have the potential to push lab-on-chip based analysis from the microscale to the nanoscale.

Enteric adenoviruses are among most UV-resistant viruses in water. Cytopathic effects (CPE)-based cell culture TCID50 assay as a conventional virus assessment approach has major drawbacks for enteric adenovirus since it is selective on cell lines and takes longer time to show CPE. Integrated cell culture real-time quantitative PCR (ICC-qPCR) and reverse transcriptase (RT)-qPCR were applied in this study, in comparison with TCID50, to assess UV inactivation of adenovirus type 41 (Ad41) in water. Adenovirus type 41 was exposed to UV doses of 40, 80, 160, and 320 mJ/cm2 using a collimated beam apparatus. There was no significant difference of inactivation at conducted UV doses between measurements using TCID50 assay and ICC-RT-qPCR. Both assays fitted the Chick-Watson model at 95% confidence level. The inactivation measured by ICC-qPCR did not fit the Chick-Watson model. In summary, ICC-RT-qPCR is the most appropriate alternate to CPE-based assay for assessing UV inactivation of enteric adenoviruses.

This study integrated the Spiral Curriculum approach into the Robust Learning Model as part of a continuous improvement process that was designed to improve educational effectiveness and then assessed the differences between the initial and integrated models as well as the predictability of the first course in the integrated learning model on a wide range of educational effectiveness indicators for online master degree programs. Meaningful improvement in educational effectiveness was validated by the study. The importance of the first course's predictors in predicting and explaining the various degree program educational effectiveness indicators was also very instrumental. The theoretical and practical implications of the study's findings for online faculty, university administrators, and policy makers were examined.