Effectiveness of stress management interventions to change cortisol levels: a systematic review and meta-analysis

Stress has a damaging impact on our mental and physical health, and as a result, there is an on-going demand for effective stress management interventions. However, there are no reviews or meta-analyses synthesising the evidence base of randomised controlled trials testing the effectiveness of psychological interventions on changing cortisol levels (the stress hormone) in non-patient groups. Therefore, the primary aim of this systematic review and meta-analysis was to address this gap. Six databases (Medline, PsychInfo, Embase, CINAHL, Cochrane and Web of Science) were searched (1171 studies identified) with 58 studies (combined N = 3508) included in the meta-analysis. The interventions were coded into one of four categories; mind body therapies, mindfulness, relaxation or talking therapies. A random effects meta-analysis on cortisol as measured in blood, saliva or hair found that stress management interventions outperformed pooled control conditions with a medium positive effect size (g = 0.282). The studies that utilised cortisol awakening measures (g = 0.644) revealed larger effects of stress management interventions than those that measured diurnal cortisol (g = 0.255). Mindfulness and meditation (g = 0. 345) and relaxation (g = 0. 347) interventions were most effective at changing cortisol levels, while mind body therapies (g = 0. 129) and talking therapies (g = 0.107) were shown to have smaller and non-significant effect sizes. Additionally, studies that utilised an active control group (g = 0. 477) over passive control group (g = 0.129) were found to have stronger effects. Length of the intervention, study quality, risk of bias, age and gender did not influence the effectiveness of interventions and there was no evidence of publication bias. Overall, the current findings confirm that stress management interventions can positively influence cortisol levels. Future research should investigate the longer term implications for health and health outcomes

Real-Time Dynamic Obstacle Avoidance for Robot Manipulators Based on Cascaded Nonlinear MPC With Artificial Potential Field

Nowadays, the realization of obstacle avoidance for robot manipulators are generally based on offline path planning, which may be insufficient for real-time dynamic obstacle avoidance scenarios. In order to achieve safe and smooth avoidance of dynamic obstacles, a low-latency motion planning algorithm, which takes into account the dynamic planning is of practical significance. Toward this end, this article proposes a cascaded nonlinear model predictive control (MPC) assigned with a two-stage optimization problem. Specially, the high-level MPC combines artificial potential field as a motion planner to generate foresight smooth trajectories. The low-level MPC acts as a trajectory tracker and a safety protector, taking along hard constraints to avoid collisions and singularities. In addition, a super-twisting observer is deployed to enhance the motion estimation accuracy of dynamic obstacles. Experimental results show that the proposed approach is beneficial to achieve safe and smooth dynamic obstacle avoidance in real-world scenarios

Fluid effects in model granular flows

Pore fluid plays a crucial role in many granular flows, especially those in geophysical settings. However, the transition in behaviour between dry flows and fully saturated flows and the underlying physics that relate to this are poorly understood. In this paper, we report the results of small-scale flume experiments using monodisperse granular particles with varying water content and volume in which the basal pore pressure, total pressure, flow height and velocity profile were measured at a section. We compare the results with theoretical profiles for granular flow and with flow regimes based on dimensional analysis. The runout and the centre of mass were also calculated from the deposit surface profiles. As the initial water content by mass was increased from zero to around 10%, we first observed a drop in mobility by approximately 50%, as surface tension caused cohesive behaviour due to matric suction. As the water content was further increased up to 45%, the mobility also increased dramatically, with increased flow velocity up to 50%, increased runout distance up to 240% and reduced travel angle by up to 10° compared to the dry case. These effects can be directly related to the basal pore pressure, with both negative pressures and positive pore pressures being measured relative to atmospheric during the unsteady flow. We find that the initial flow volume plays a role in the development of relative pore pressure, such that, at a fixed relative water content, larger flows exhibit greater positive pore pressures, greater velocities and greater relative runout distances. This aligns with many other granular experiments and field observations. Our findings suggest that the fundamental role of the pore fluid is to reduce frictional contact forces between grains thus increasing flow velocity and bulk mobility. While this can occur by the development of excess pore pressure, it can also occur where the positive pore pressure is not in excess of hydrostatic, as shown here, since buoyancy and lubrication alone will reduce frictional forces

“Why am I still suffering?”: Experience of long-term fatigue and neurocognitive changes in oropharyngeal cancer survivors following (chemo)radiotherapy

Background Late effects of cancer treatment, such as neurocognitive deficits and fatigue, can be debilitating. Other than head and neck–specific functional deficits such as impairments in swallowing and speech, little is known about survivorship after oropharyngeal cancer. This study examines the lived experience of fatigue and neurocognitive deficits in survivors of oropharyngeal squamous cell cancer and impact on their daily lives. Methods This work is part of the multicentre mixed method ROC-oN study (Radiotherapy for Oropharyngeal Cancer and impact on Neurocognition), evaluating fatigue and neurocognitive function in patients following radiotherapy +/- chemotherapy for oropharyngeal cancer and impact on quality of life. Semi-structured interviews were conducted in adults treated with radiotherapy (+/-chemotherapy) for oropharyngeal squamous cell carcinoma >/=24 months from completing treatment. Reflexive thematic analysis performed. Results 21 interviews (11 men and 10 women; median age 58 years and median time post-treatment 5 years) were conducted and analysed, yielding six themes: (1) unexpected burden of fatigue, (2) noticing changes in neurocognitive function, (3) the new normal, (4) navigating changes, (5)insufficient awareness and (6)required support. Participants described fatigue that persisted beyond the acute post-treatment period and changes in neurocognitive abilities across several domains. Paid and unpaid work, emotions and mood were impacted. Participants described navigating the new normal by adopting self-management strategies and accepting external support. They reported lack of recognition of these late effects, being poorly informed and being unprepared. Follow-up services were thought to be inadequate. Conclusions Fatigue and neurocognitive impairment were frequently experienced by survivors of oropharyngeal cancer, at least two years after treatment. Patients felt ill-prepared for these late sequelae, highlighting opportunities for improvement of patient information and support services

SilE-R and SilE-S - DABB Proteins Catalyzing Enantiospecific Hydrolysis of Organosilyl Ethers

Silyl ethers fulfil a fundamental role in synthetic organic chemistry as protecting groups and their selective cleavage is an important factor in their application. We present here for the first time two enzymes, SilE-R and SilE-S, which are able to hydrolyze silyl ethers. They belong to the stress-response A/B barrel domain (DABB) family and are able to cleave the Si-O bond with opposite enantiopreference. Silyl ethers containing aromatic, cyclic or aliphatic alcohols and, depending on the alcohol moiety, silyl functions as large as TBDMS are accepted. The X-ray crystal structure of SilE-R, determined to a resolution of 1.98 Ȧ, in combination with mutational studies, revealed an active site featuring two histidine residues, H8 and H79, which likely act synergistically as nucleophile and Brønsted base in the hydrolytic mechanism, which has not previously been described for enzymes. Although the natural function of SilE-R and SilE-S is unknown, we propose that these ‘silyl etherases’ may have significant potential for synthetic applications

Lived environmentalisms: Everyday encounters and difference in Australia's north

This paper focuses on everyday encounters between environmentalists and Indigenous activists during a dispute around a proposed gas hub development in the Kimberley, NW Australia, to explore the possibilities of practising environmentalism differently. It makes visible the complexity, contestations and dilemmas of putting environmentalism into practice in particular places and calls for the specificness of how environmentalisms are negotiated and developed through encounters to be more carefully attended to. It draws on 32 face-to-face in-depth interviews conducted with activists from national Australian environmental organisations working in the Kimberley, Kimberley-based environmental groups, Kimberley Indigenous organisations, participant observations at protest camp site visits and analysis of campaign literature. Closely interrogating lived environmentalisms—how environmentalists put into practice their values in everyday encounters—reveals not only evidence of white environmentalists expanding their conceptions of the environment beyond dualisms and engaging with multispecies justice, but also a hesitancy and complexity in supporting Indigenous self-determination and a limited capacity to challenge colonial-capitalist frameworks

Discipline identification, identity incompatibility, belonging and their association with deep approaches to learning and academic self-efficacy during COVID-19 in the UK

Previous research indicates that discipline identification — the level of integration of one’s discipline of study into the self-concept — is associated with deep approaches to learning and academic self-efficacy. However, it is not known whether these relationships would hold in the context of learning during the COVID-19 pandemic. The present study investigates this, as well as exploring whether belonging, identity incompatibility, and virtual and in-person time spent with fellow students and with faculty act as potential antecedents of discipline identification. A cross-sectional online survey with n = 385 students in the UK was conducted during the spring term (February–May) of the 2019–2020 academic year, when UK universities were under COVID-19 restrictions. Of those students, n = 109 completed a follow-up survey during the autumn term (September–December) of the 2020–2021 academic year. Due to pandemic-related changes, the two waves of data were analysed separately using path analysis. During the spring term, identity incompatibility and discipline identification were significantly associated with both deep approaches to learning and academic self-efficacy. There were also significant indirect effects of belonging on both deep approaches to learning and academic self-efficacy via discipline identification. During the autumn term, discipline identification was again significantly associated with both academic outcomes. Identity incompatibility was significantly associated with academic self-efficacy. There were also indirect effects of identity incompatibility and belonging on deep approaches to learning via discipline identification. These results add to the literature on the importance of discipline identification and associated social-psychological processes in predicting important higher education outcomes during the COVID-19 pandemic

Enhancing the digital earth via digital decimal geolocation and the FAIR data principles

The essential aspects of Gore’s “Digital Earth” concept include “georeferenced” data. This paper is concerned with establishing the need for a standardised and common form to locate points on the earth’s surface. Rather than a degree, minute, second (dms) system for latitude/longitude location, a decimal degree system, formatted as a comma separated variable tuple in square brackets, [dLL], is advocated. Values, to an appropriate number of decimal places, can be inserted in text to be computer searchable. The [dLL] also becomes metadata for a data set or as an index in databases or identifiers for images. Various uses of this system are illustrated. The [dLL] allows data to become more “open” via the FAIR data principles: findability, accessibility, interoperability, and reusability. Wider use of [dLL] in the earth sciences is fundamental to collaboration with other disciplines, especially Critical Zone Science. The general use of [dLL] geolocation can be exploited in a wide variety of data analytical methodologies, some of which are outlined, and in earth science and environmental data situations

Understanding health service utilisation patterns for care home residents during the COVID-19 pandemic using routinely collected healthcare data

Background Healthcare in care homes during the COVID-19 pandemic required a balance, providing treatment while minimising exposure risk. Policy for how residents should receive care changed rapidly throughout the pandemic. A lack of accessible data on care home residents over this time meant policy decisions were difficult to make and verify. This study investigates common patterns of healthcare utilisation for care home residents in relation to COVID-19 testing events, and associations between utilisation patterns and resident characteristics. Methods Datasets from County Durham and Darlington NHS Foundation Trust including secondary care, community care and a care home telehealth app are linked by NHS number used to define daily healthcare utilisation sequences for care home residents. We derive four 10-day sets of sequences related to Pillar 1 COVID-19 testing; before [1] and after [2] a resident’s first positive test and before [3] and after [4] a resident’s first test. These sequences are clustered, grouping residents with similar healthcare patterns in each set. Association of individual characteristics (e.g. health conditions such as diabetes and dementia) with healthcare patterns are investigated. Results We demonstrate how routinely collected health data can be used to produce longitudinal descriptions of patient care. Clustered sequences [1,2,3,4] are produced for 3,471 care home residents tested between 01/03/2020–01/09/2021. Clusters characterised by higher levels of utilisation were significantly associated with higher prevalence of diabetes. Dementia is associated with higher levels of care after a testing event and appears to be correlated with a hospital discharge after a first test. Residents discharged from inpatient care within 10 days of their first test had the same mortality rate as those who stayed in hospital. Conclusion We provide longitudinal, resident-level data on care home resident healthcare during the COVID-19 pandemic. We find that vulnerable residents were associated with higher levels of healthcare usage despite the additional risks. Implications of findings are limited by the challenges of routinely collected data. However, this study demonstrates the potential for further research into healthcare pathways using linked, routinely collected datasets

Electron and photon efficiencies in LHC Run 2 with the ATLAS experiment

Precision measurements of electron reconstruction, identification, and isolation efficiencies and photon identification efficiencies are presented. They use the full Run 2 data sample collected by the ATLAS experiment in pp collisions at a centre-of-mass energy of 13 TeV during the years 2015–2018, corresponding to an integrated luminosity of 139 fb−1. The measured electron identification efficiencies have uncertainties that are around 30%–50% smaller than the previous Run 2 results due to an improved methodology and the inclusion of more data. A better pile-up subtraction method leads to electron isolation efficiencies that are more independent of the amount of pile-up activity. Updated photon identification efficiencies are also presented, using the full Run 2 data. When compared to the previous measurement, a 30%–40% smaller uncertainty is observed on the photon identification efficiencies, thanks to the increased amount of available data