Solid Evidence and Liquid Gold: Trade-Offs of Processing Settled Solids, Whole Influent, or Centrifuged Influent for Codetecting Viral, Bacterial, and Eukaryotic Pathogens in Wastewater.

Effective methods for simultaneously measuring viral, bacterial, protozoan, and fungal pathogens in wastewater are needed. Here, we investigate how the sample type and nucleic acid extraction protocols affect broad-range pathogen detection. We compared methods for analyzing wastewater solids and whole influent by dPCR detection of spiked and endogenous targets including DNA and RNA viruses (mpox, norovirus, SARS-CoV-2), bacteria (, ), protozoa ( spp), fungi (), and antibiotic resistance genes.

Context-Seq: CRISPR-Cas9 targeted nanopore sequencing for transmission dynamics of antimicrobial resistance.

Precisely understanding how and to what extent antimicrobial resistance (AMR) is exchanged between animals and humans is needed to inform control strategies. Metagenomic sequencing has low detection for rare targets such as antibiotic resistance genes, while whole genome sequencing of isolates misses exchange between uncultured bacterial species. We introduce Context-Seq, CRISPR-Cas9 targeted sequencing of ARGs and their genomic context with long-reads.

Wastewater surveillance reveals patterns of antibiotic resistance across the United States.

Antibiotic resistance is a growing public health threat, with over 2.8 million antibiotic-resistant infections and 35,000 attributable deaths annually in the U.S.

Catalysts for Change: The Impact of Reflective Conversations on Leaders' Hope and Change-Oriented Behaviors.

How can leaders effectively navigate challenges and drive positive change in the workplace? This research introduces reflective conversations as a powerful catalyst for leaders' change-oriented initiatives. Integrating transformative learning theory and hope theory, we suggest that reflective conversations improve leaders' sense of hope and subsequently facilitate their transformational leadership and creative behaviors. We further introduce hardships (Study 1) and relationship quality (Studies 2 and 3) as key boundary conditions.

Context-Seq: CRISPR-Cas9 Targeted Nanopore Sequencing for Transmission Dynamics of Antimicrobial Resistance.

Precisely understanding how and to what extent antimicrobial resistance (AMR) is exchanged between animals and humans is needed to inform control strategies. Metagenomic sequencing has low detection for rare targets such as antibiotic resistance genes, while whole genome sequencing of isolates misses exchange between uncultured bacterial species. We introduce Context-Seq, CRISPR-Cas9 targeted sequencing of ARGs and their genomic context with long-reads.

Pseudomonas stutzeri KC carries the pdt genes for carbon tetrachloride degradation on an integrative and conjugative element.

Pseudomonas stutzeri KC can rapidly degrade carbon tetrachloride (CCl4) to CO2 by a fortuitous reaction with pyridine-2,6-bis(thiocarboxylic acid), a metal chelator encoded by pdt genes. These genes were first identified after a spontaneous mutant, strain CTN1, lost the ability to degrade CCl4. Here we report the complete genome of strain KC and show that these pdt genes are located on an integrative and conjugative element (ICE), designated ICEPsstKC.

Wastewater monitoring of SARS-CoV-2 RNA at K-12 schools: comparison to pooled clinical testing data.

Background: Wastewater measurements of SARS-CoV-2 RNA have been extensively used to supplement clinical data on COVID-19. Most examples in the literature that describe wastewater monitoring for SARS-CoV-2 RNA use samples from wastewater treatment plants and individual buildings that serve as the primary residence of community members. However, wastewater surveillance can be an attractive supplement to clinical testing in K-12 schools where individuals only spend a portion of their time but interact with others in close proximity, increasing risk of potential transmission of disease.

Lossless Immunocytochemistry Based on Large-Scale Porous Hydrogel Pellicle for Accurate Rare Cell Analysis.

Rare cells, such as circulating tumor cells or circulating fetal cells, provide important information for the diagnosis and prognosis of cancer and prenatal diagnosis. Since undercounting only a few cells can lead to significant misdiagnosis and incorrect decisions in subsequent treatment, it is crucial to minimize cell loss, particularly for rare cells. Moreover, the morphological and genetic information on cells should be preserved as intact as possible for downstream analysis.

SARS-CoV-2 RNA and N Antigen Quantification via Wastewater at the Campus Level, Building Cluster Level, and Individual-Building Level.

Monitoring wastewater for SARS-CoV-2 from populations smaller than those served by wastewater treatment plants may help identify small spatial areas (subsewersheds) where COVID-19 infections are present. We sampled wastewater from three nested locations with different sized populations within the same sewer network at a university campus and quantified SARS-CoV-2 RNA using reverse transcriptase droplet digital polymerase chain reaction (PCR). SARS-CoV-2 RNA concentrations and/or concentrations normalized by PMMoV were positively associated with laboratory-confirmed COVID-19 cases for both the sewershed level and the subsewershed level.

SARS-CoV-2 RNA is enriched by orders of magnitude in primary settled solids relative to liquid wastewater at publicly owned treatment works.

Wastewater-based epidemiology has gained attention throughout the world for detection of SARS-CoV-2 RNA in wastewater to supplement clinical testing. Raw wastewater consists of small particles, or solids, suspended in liquid. Methods have been developed to measure SARS-CoV-2 RNA in the liquid and the solid fraction of wastewater, with some studies reporting higher concentrations in the solid fraction.

Scaling of SARS-CoV-2 RNA in Settled Solids from Multiple Wastewater Treatment Plants to Compare Incidence Rates of Laboratory-Confirmed COVID-19 in Their Sewersheds.

Published and unpublished reports show that SARS-CoV-2 RNA in publicly owned treatment work (POTW) wastewater influent and solids is associated with new COVID-19 cases or incidence in associated sewersheds, but methods for comparing data collected from diverse POTWs to infer information about the relative incidence of laboratory-confirmed COVID-19 cases, and scaling to allow such comparisons, have not been previously established. Here, we show that SARS-CoV-2 N1 and N2 concentrations in solids normalized by concentrations of PMMoV RNA in solids can be used to compare incidence of laboratory confirmed new COVID-19 cases across POTWs. Using data collected at seven POTWs along the United States West Coast, Midwest, and East Coast serving ∼3% of the U.

Does a healthy lifestyle matter? A daily diary study of unhealthy eating at home and behavioral outcomes at work.

With abundant health-related information, the modern workforce is advised to engage in health-promoting behaviors such as good sleep, physical activities, and a healthy diet to stay productive at work. However, no study has provided a theoretical framework or empirical evidence on the association between employees' unhealthy eating behavior and the quality of their performance. Drawing from the stress and coping literature, the current study proposes a moderated mediation model to investigate the day-specific roles of (un)healthy lifestyle in regard to personal well-being and performance at work.

Daily microbreaks in a self-regulatory resources lens: Perceived health climate as a contextual moderator via microbreak autonomy.

Grounded in self-regulatory resources and conservation of resources theories, the current research examines poor self-regulatory capacity as a precursor to microbreaks and their possible outcomes at work. Full-time employees completed multiple online surveys for 10 ( = 779 daily observations) and 5 workdays ( = 1,024 daily observations). In Study 1, multilevel path analysis results showed that on days when employees had poorer recovery at home (i.

Are Your Vitals OK? Revitalizing Vitality of Nurses through Relational Caring for Patients.

This study offers an alternative approach to address on-going concerns about burnout of healthcare employees. Departing from the existing job-demand based approach proposing that healthcare employees' burnout can be resolved by reducing demands, we theorize that patient-centered prosocial behavior, even if it often increases job demands, could serve as potential job resources that fuel positive energy to vitalize nurses at work. We further theorize that this possibility could be more pronounced among a group of nurses with a strong sense of ethical membership regarding their hospital (i.

SARS-CoV-2 RNA in Wastewater Settled Solids Is Associated with COVID-19 Cases in a Large Urban Sewershed.

Wastewater-based epidemiology may be useful for informing public health response to viral diseases like COVID-19 caused by SARS-CoV-2. We quantified SARS-CoV-2 RNA in wastewater influent and primary settled solids in two wastewater treatment plants to inform the preanalytical and analytical approaches and to assess whether influent or solids harbored more viral targets. The primary settled solids samples resulted in higher SARS-CoV-2 detection frequencies than the corresponding influent samples.

Daily effects of continuous ICT demands on work-family conflict: Negative spillover and role conflict.

Growing concerns about intensive information and communication technology (ICT) use led to abundant research on its debilitating effects on employees' abilities to meet family demands. Drawing on the stressor-strain model, we conducted a daily diary study to investigate how different types of daily ICT demands experienced during work hours and after work influence work-family conflict (WFC) in the evening. We collected data from 98 full-time employees (793 day-level observations) for 10 consecutive workdays to understand employees' work-nonwork interface experiences, namely, negative spillover and role conflict.

Customer mistreatment harms nightly sleep and next-morning recovery: Job control and recovery self-efficacy as cross-level moderators.

Customer mistreatment is becoming an important topic for work stress researchers and practitioners given the rise of service industry. Taking stressor-emotion-control perspectives, the authors examine day-level relationships between call center workers' customer mistreatment experiences and their impaired recovery outcomes mediated by end-of-work negative affect. Furthermore, control concepts in the job and personal domains are tested as cross-level moderators.

Daily micro-breaks and job performance: General work engagement as a cross-level moderator.

Despite the growing research on work recovery and its well-being outcomes, surprisingly little attention has been paid to at-work recovery and its job performance outcomes. The current study extends the work recovery literature by examining day-level relationships between prototypical microbreaks and job performance as mediated by state positive affect. Furthermore, general work engagement is tested as a cross-level moderator weakening the indirect effects of microbreaks on job performance via positive affect.