These data provide evidence for the possibility to identify CHR participants through population-based web screening. This could be an important strategy for early intervention and diagnosis of psychotic disorders.

Rapid on-site measurements of arsenic (As) are essential for the timely remediation of As-contaminated groundwater for both municipal and emergency response applications. Current field tests suffer from either complicated end-user instructions or a lack of accuracy and specificity. The system presented here combines a whole-cell bacterial biosensor with an electrochemical measurement that provides enhanced accuracy and signal intensity compared to traditional bacterial-detection approaches. When integrated within a customized hardware system, this whole-cell sensor demonstrated excellent specificity and sensitivity. This fast, sensitive, and easy-to-use approach is a viable alternative for on-site arsenic testing.

HighlightsTibialis anterior tendon avulsion is a rare and uncommon injury.Tibialis anterior tendon avulsion should be diagnosed early.MRI scan is a useful tool to establish a definitive diagnosis and plan surgery 4.Surgical repair done early gives good functional outcomes.

BackgroundIdentification of participants at clinical high-risk (CHR) for the development of psychosis is an important objective of current preventive efforts in mental health research. However, the utility of using web-based screening approaches to detect CHR-participants at the population-level has not been investigated.MethodsWe tested a web-based screening approach to identify CHR-individuals. Potential participants were invited to a website via email-invitations, flyers and invitation letters involving both the general population and mental health services. 2121 participants completed the 16-item version of the prodromal questionnaire (PQ-16) and a 9-item questionnaire of perceptual and cognitive aberrations (PCA) for the assessment of Basic Symptoms (BS) online.Results54% of participants met a-priori cut-off criteria for the PQ and 72 % for PCA-items online. 969 participants were invited for a clinical interview and n = 277 interviews were conducted (response rate: 29%) using the Comprehensive Assessment of At-Risk Mental State (CAARMS) and the Schizophrenia Proneness Interview, Adult Version (SPI-A). N = 88 CHR-participants and n = 8 first-episode psychosis (FEP) were detected. ROC-curve analysis revealed good to moderate sensitivity and specificity for predicting CHR-status based on online-results for both UHR- and BS-criteria (Sensitivity/Specificity: PQ-16 = 76%/50.4%; PCA = 89%/19.7%). CHR-participants were characterized by similar levels of functioning and neurocognitive deficits as clinically identified CHR-groups.DiscussionThese data provide evidence for the possibility to identify CHR-participants through population-based web-screening. This could be an important strategy for early intervention and diagnosis of psychotic disorders.