Cognitive Insight, Clinical Insight, and Reasoning in Schizophrenia : A Pilot Study in a Forensic Setting

This pilot study of 20 chronically ill male inpatients with schizophrenia and a history of violence investigates the relationships between cognitive insight, clinical insight, reasoning, and symptoms in a forensic setting. The majority (75%) of the patients with schizophrenia made hasty decisions based on a small amount of information (the jumping-to-conclusion bias, JTC). In addition, the data suggested that the more information patients gather, the more clinical insight they have and the less distressed they are by their symptoms. However, neither cognitive nor clinical insight were found to be statistically significantly associated with symptoms. The Beck Cognitive Insight Scale (BCIS) showed low and nonsignificant correlations with JTC bias as well as with symptoms. We discuss the potential significance of JTC bias, and clinical and cognitive insight in treatment of forensic schizophrenia patients with a history of violence.peerReviewe

Coupling of water-carbon interactions during snowmelt in an Arctic Finland catchment

Abstract Snowmelt spring floods regulate carbon transport from land to streams. However, these coupled processes are rarely documented through high-resolution measurements focused on water-carbon interactions. We collated a state-of-the-art high-frequency data set throughout a snowmelt and early post snowmelt period, alongside regular samples of stream water, precipitation, and snowmelt isotopes (δ18O). Our study was conducted during the 2019 snowmelt and initial post snowmelt season in a subarctic, peatland influenced headwater catchment in Pallas, Northern Finland. We measured high-frequency dissolved organic carbon (DOC), and in-stream carbon dioxide (pCO2). We identified a change in hydrological processes as the snowmelt season progressed and the post snowmelt season began. We found (a) Overland flow dominated stream DOC dynamics in early snowmelt, while increased catchment connectivity opened new distal pathways in the later snowmelt period; (b) CO2 processes were initially driven by rapid bursts of CO2 from the meltwaters in snowmelt, followed by dilution and source limitation emerging post snowmelt as deep soil pathways replaced the snowpack as the main source of CO2; (c) stream carbon concentration shifted from being relatively balanced between CO2 and DOC during the early snowmelt period to being increasingly DOC dominated as snowmelt progressed due to changes in DOC and CO2 source supply. The study highlights the importance of using high-frequency measurements combined with high-frequency data analyses to identify changes in the processes driving water-carbon interactions. The degree to which water-carbon interactions respond to the continuation of Arctic water cycle amplification is central to delineating the evolving complexity of the future Arctic

Arctic snow isotope hydrology:a comparative snow-water vapor study

Abstract The Arctic’s winter water cycle is rapidly changing, with implications for snow moisture sources and transport processes. Stable isotope values (δ¹⁸O, δ²H, d-excess) of the Arctic snowpack have potential to provide proxy records of these processes, yet it is unclear how well the isotope values of individual snowfall events are preserved within snow profiles. Here, we present water isotope data from multiple taiga and tundra snow profiles sampled in Arctic Alaska and Finland, respectively, during winter 2018–2019. We compare the snowpack isotope stratigraphy with meteoric water isotopes (vapor and precipitation) during snowfall days, and combine our measurements with satellite observations and reanalysis data. Our analyses indicate that synoptic-scale atmospheric circulation and regional sea ice coverage are key drivers of the source, amount, and isotopic composition of Arctic snowpacks. We find that the western Arctic tundra snowpack profiles in Alaska preserved the isotope values for the most recent storm; however, post depositional processes modified the remaining isotope profiles. The overall seasonal evolution in the vapor isotope values were better preserved in taiga snow isotope profiles in the eastern Arctic, where there is significantly less wind-driven redistribution than in the open Alaskan tundra. We demonstrate the potential of the seasonal snowpack to provide a useful proxy for Arctic winter-time moisture sources and propose future analyses