The role of interactive super-computing in using HPC for urgent decision making

Technological advances are creating exciting new opportunities that have the potential to move HPC well beyond traditional computational workloads. In this paper we focus on the potential for HPC to be instrumental in responding to disasters such as wildfires, hurricanes, extreme flooding, earthquakes, tsunamis, winter weather conditions, and accidents. Driven by the VESTEC EU funded H2020 project, our research looks to prove HPC as a tool not only capable of simulating disasters once they have happened, but also one which is able to operate in a responsive mode, supporting disaster response teams making urgent decisions in real-time. Whilst this has the potential to revolutionise disaster response, it requires the ability to drive HPC interactively, both from the user's perspective and also based upon the arrival of data. As such interactivity is a critical component in enabling HPC to be exploited in the role of supporting disaster response teams so that urgent decision makers can make the correct decision first time, every time

Holistic needs assessment of cancer survivors : supporting the process through digital monitoring of circadian physiology

The year 2022 could represent a significant juncture in the incorporation of mHealth solutions in routine cancer care. With the recent global COVID-19 pandemic leading a surge in both observation- and intervention-based studies predominantly aimed at remote monitoring there has been huge intellectual investment in developing platforms able to provide real time analytics that are readily usable. Another fallout from the pandemic has seen record waiting times and delayed access to cancer therapies leading to exhausting pressures on global healthcare providers. It seems an opportune time to utilize this boom in platforms to offer more efficient “at home” clinical assessments and less “in department” time for patients. Here, we will focus specifically on the role of digital tools around cancer survivorship, a relevant aspect of the cancer journey, particularly benefiting from integrative approaches. Within that context a further concept will be introduced and that is of the likely upsurge in circadian-based interpretation of continuous monitoring and the engendered therapeutic modifications. Chronobiology across the 24-hour span has long been understood to control key bodily aspects and circadian dysregulation plays a significant role in the risk of cancer and also the response to therapy and therefore progressive outcome. The rapid improvement in minimally invasive monitoring devices is, in the opinion of the authors, likely to advance introducing chronobiological amendments to routine clinical practices with positive impact on cancer survivors

A Bespoke Workflow Management System for Data-Driven Urgent HPC

In this paper we present a workflow management system which permits the kinds of data-driven workflows required by urgent computing, namely where new data is integrated into the workflow as a disaster progresses in order refine the predictions as time goes on. This allows the workflow toadapt to new data at runtime, a capability that most workflow management systems do not possess. The workflow management system was developed for the EU-funded VESTEC project, which aims to fuse HPC with real-time data for supporting urgent decision making. We first describe an example workflow from the VESTEC project, and show why existing workflow technologies do not meet the needs of the project. We then go on to present the design of our Workflow Management System, describe how it is implemented into the VESTEC system, and provide an example of the workflow system in use for a test case

Comparison of Gene Expression Profiles in Chromate Transformed BEAS-2B Cells

Hexavalent chromium [Cr(VI)] is a potent human carcinogen. Occupational exposure has been associated with increased risk of respiratory cancer. Multiple mechanisms have been shown to contribute to Cr(VI) induced carcinogenesis, including DNA damage, genomic instability, and epigenetic modulation, however, the molecular mechanism and downstream genes mediating chromium's carcinogenicity remain to be elucidated.We established chromate transformed cell lines by chronic exposure of normal human bronchial epithelial BEAS-2B cells to low doses of Cr(VI) followed by anchorage-independent growth. These transformed cell lines not only exhibited consistent morphological changes but also acquired altered and distinct gene expression patterns compared with normal BEAS-2B cells and control cell lines (untreated) that arose spontaneously in soft agar. Interestingly, the gene expression profiles of six Cr(VI) transformed cell lines were remarkably similar to each other yet differed significantly from that of either control cell lines or normal BEAS-2B cells. A total of 409 differentially expressed genes were identified in Cr(VI) transformed cells compared to control cells. Genes related to cell-to-cell junction were upregulated in all Cr(VI) transformed cells, while genes associated with the interaction between cells and their extracellular matrices were down-regulated. Additionally, expression of genes involved in cell proliferation and apoptosis were also changed.This study is the first to report gene expression profiling of Cr(VI) transformed cells. The gene expression changes across individual chromate exposed clones were remarkably similar to each other but differed significantly from the gene expression found in anchorage-independent clones that arose spontaneously. Our analysis identified many novel gene expression changes that may contribute to chromate induced cell transformation, and collectively this type of information will provide a better understanding of the mechanism underlying chromate carcinogenicity

Brooding rumination and attentional biases in currently non-depressed individuals: an eye-tracking study.

Both rumination and attentional biases have been proposed as key components of the RDoC Negative Valence Systems construct of Loss. Although theorists have proposed that rumination, particularly brooding rumination, should be associated with increased sustained attention to depression-relevant information, it is not clear whether this link would be observed in a non-depressed sample or whether it is specific to brooding versus reflective rumination. To address these questions, the current study examined the link between brooding rumination and attentional biases in a sample of non-depressed individuals (n = 105). Attentional biases were assessed using eye tracking during a passive viewing task in which participants were presented with 2 × 2 arrays of angry, happy, sad, and neutral faces. In line with predictions, higher levels of brooding rumination were associated with greater sustained attention to sad faces and less sustained attention to happy faces. These results remained significant after controlling for participants’ prior history of major depression and current nonclinical level of depressive symptoms, suggesting that the link between brooding rumination and attentional biases is at least partially independent of current or past depression

Blunted neural reward responsiveness in children with recent suicidal ideation

Individuals with suicidal thoughts and behaviors experience abnormalities in reward-related processes, yet little is known about specific components or stages of reward processing that are impaired, especially in children. The primary aim of this study was to conduct an investigation of the Initial Response to Reward subconstruct of the National Institute of Mental Health’s Research Domain Criteria in relation to recent suicidal ideation (SI) in children. Participants were 23 children between the ages of 7 and 11 with a history of recent SI and 46 demographically and clinically matched children with no recent SI. Children completed a simple guessing task during which electroencephalographic signals were continuously recorded to isolate the reward positivity (RewP) event-related potential; specifically, we examined change in RewP (∆RewP), quantified as the difference between neural responses to monetary gains and neural responses to monetary losses. Children with recent SI exhibited significantly smaller (i.e., blunted) ∆RewP, providing initial evidence for blunted initial responses to reward in these children

Suicidal ideation and attentional biases in children: An eye-tracking study.

Background: Despite theoretical and empirical evidence for a heighted responsiveness to signals of social-threat in suicidal individuals, no studies to date have examined whether this responsiveness might also manifest in the form of specific biases in attention to interpersonal stimuli. The current study, therefore, examined the presence and nature of attentional biases for facial expressions of emotion in children with and without a history of suicidal ideation (SI). Method: Participants were 88 children (44 with a history of SI and 44 demographically and clinically matched controls without such history) recruited from the community. The average age of children was 9.26 years (44.3% female; 67.0% Caucasian). Children\u27s history of SI was assessed via structured interviews with children and their parent. Attentional biases were assessed using a dot probe task and included fearful, happy, and sad facial stimuli and focused on eye tracking and reaction time indices of attentional bias. Results: Children with a history of SI exhibited significantly greater gaze duration toward fearful faces. The findings appeared to be at least partially independent of children\u27s history of major depression or anxiety disorders or their current depressive or anxious symptoms. Limitations: The study is limited by its cross-sectional design, which precludes any causal conclusions regarding the role of attentional biases in future suicide risk. Conclusions: Our results suggest that children with a history of SI exhibit biases in sustained attention toward socially-threatening facial expressions. Pending replications, these findings might represent a new avenue of suicide risk assessment and intervention

Age differences in electrocortical reactivity to fearful faces following aversive conditioning in youth

Although biases in the processing of affectively salient stimuli are thought to increase risk for psychopathology across the lifespan, questions remain regarding how these biases develop. The current study tested an aversive conditioning model for the development of children’s sensitivity in detecting fearful faces at varying levels of emotional intensity and their facilitated attention to fearful faces assessed via the late positive potential (LPP) event-related potential component. Participants (N = 144, ages 7–11 years) were randomly assigned to one of three conditions: an active training condition in which an 85-dB white noise burst was paired with fearful faces, an active control condition in which the white noise was presented randomly throughout the task, and a no-sound condition. Children completed a separate task in which they viewed happy, sad, and fearful child faces at varying levels of emotional intensity while electroencephalography (EEG) was recorded. Although there were no conditioning group differences in children’s sensitivity in detecting facial displays of emotion, there were group differences in LPP magnitude that were moderated by children’s age. Among younger children, those in the active conditioning group exhibited smaller LPP amplitudes to high-intensity fearful faces than children in the control groups. However, among older youth, those in the active conditioning group exhibited larger LPP amplitudes to high-intensity fearful faces than children in the control groups. These findings provide insight into how attentional biases may develop in children and how period of development may influence these patterns

Age differences in electrocortical reactivity to fearful faces following aversive conditioning in youth

Although biases in the processing of affectively salient stimuli are thought to increase risk for psychopathology across the lifespan, questions remain regarding how these biases develop. The current study tested an aversive conditioning model for the development of children’s sensitivity in detecting fearful faces at varying levels of emotional intensity and their facilitated attention to fearful faces assessed via the late positive potential (LPP) event-related potential component. Participants (N = 144, ages 7–11 years) were randomly assigned to one of three conditions: an active training condition in which an 85-dB white noise burst was paired with fearful faces, an active control condition in which the white noise was presented randomly throughout the task, and a no-sound condition. Children completed a separate task in which they viewed happy, sad, and fearful child faces at varying levels of emotional intensity while electroencephalography (EEG) was recorded. Although there were no conditioning group differences in children’s sensitivity in detecting facial displays of emotion, there were group differences in LPP magnitude that were moderated by children’s age. Among younger children, those in the active conditioning group exhibited smaller LPP amplitudes to high-intensity fearful faces than children in the control groups. However, among older youth, those in the active conditioning group exhibited larger LPP amplitudes to high-intensity fearful faces than children in the control groups. These findings provide insight into how attentional biases may develop in children and how period of development may influence these patterns

Charting moment-to-moment brain signal variability from early to late childhood.

Large-scale brain signals exhibit rich intermittent patterning, reflecting the fact that the cortex actively eschews fixed points in favor of itinerant wandering with frequent state transitions. Fluctuations in endogenous cortical activity occur at multiple time scales and index a dynamic repertoire of network states that are continuously explored, even in the absence of external sensory inputs. Here, we quantified such moment-to-moment brain signal variability at rest in a large, cross-sectional sample of children ranging in age from seven to eleven years. Our findings revealed a monotonic rise in the complexity of electroencephalogram (EEG) signals as measured by sample entropy, from the youngest to the oldest age cohort, across a range of time scales and spatial regions. From year to year, the greatest changes in intraindividual brain signal variability were recorded at electrodes covering the anterior cortical zones. These results provide converging evidence concerning the age-dependent expansion of functional cortical network states during a critical developmental period ranging from early to late childhood