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Motor neuron disease (MND) is a progressive, fatal, neurodegenerative condition that affects motor neurons in the brain and spinal cord, resulting in loss of the ability to move, speak, swallow and breathe. Acceptance and commitment therapy (ACT) is an acceptance-based behavioural therapy that may be particularly beneficial for people living with MND (plwMND). This qualitative study aimed to explore plwMND’s experiences of receiving adapted ACT, tailored to their specific needs, and therapists’ experiences of delivering it.
Method:
Semi-structured qualitative interviews were conducted with plwMND who had received up to eight 1:1 sessions of adapted ACT and therapists who had delivered it within an uncontrolled feasibility study. Interviews explored experiences of ACT and how it could be optimised for plwMND. Interviews were audio recorded, transcribed and analysed using framework analysis.
Results:
Participants were 14 plwMND and 11 therapists. Data were coded into four over-arching themes: (i) an appropriate tool to navigate the disease course; (ii) the value of therapy outweighing the challenges; (iii) relevance to the individual; and (iv) involving others. These themes highlighted that ACT was perceived to be acceptable by plwMND and therapists, and many participants reported or anticipated beneficial outcomes in the future, despite some therapeutic challenges. They also highlighted how individual factors can influence experiences of ACT, and the potential benefit of involving others in therapy.
Conclusions:
Qualitative data supported the acceptability of ACT for plwMND. Future research and clinical practice should address expectations and personal relevance of ACT to optimise its delivery to plwMND.
Key learning aims
(1) To understand the views of people living with motor neuron disease (plwMND) and therapists on acceptance and commitment therapy (ACT) for people living with this condition.
(2) To understand the facilitators of and barriers to ACT for plwMND.
(3) To learn whether ACT that has been tailored to meet the specific needs of plwMND needs to be further adapted to potentially increase its acceptability to this population.
Climate distress describes a complex array of emotional responses to climate change, which may include anxiety, despair, anger and grief. This paper presents a conceptual analysis of how acceptance and commitment therapy (ACT) is relevant to supporting those with climate distress. ACT aims to increase psychological flexibility, consisting of an open and aware orientation to one’s experiences, and an engaged approach to living, guided by personal values. We discuss the pertinence of each of these processes for adapting to the challenging reality of climate change. By embracing climate distress as a natural human experience and promoting value-guided action, ACT offers a promising approach that brings co-benefits to individuals and wider society.
Key learning aims
(1) To understand the concept of climate distress and its various emotional responses.
(2) To explore the relevance of acceptance and commitment therapy (ACT) in addressing climate distress and promoting psychological well-being.
(3) To examine the importance of psychological flexibility in coping with climate change.
(4) To analyse the role of ACT in embracing climate distress as a natural human experience.
(5) To investigate how ACT can encourage pro-environmental behaviours and climate change mitigation efforts.
As we face a future of rising global temperatures, and associated extreme weather events, distressing emotional responses are understandable. Climate scientists comprise a unique group, in that they must regularly confront the reality, and consequences, of climate change. In this paper, we explore how the principles of compassion-focused therapy (CFT) might be applied to comprehend the responses of climate scientists to climate change; by doing so, we aim to gain a deeper understanding of these responses in order to consider fruitful avenues for providing support and investigating this area further. We consider how flows of compassion, and blocks to compassion, might play a role in climate scientists’ experiences. Additionally, we conceptualise a role for compassion towards the wider world and humanity more broadly. Finally, by applying the CFT Three Systems model to current understanding of climate scientists’ emotional experiences, we seek to proffer a potential conceptualisation of them.
Key learning aims
(1) To formulate the emotional experiences of climate scientists from a compassion-focused therapy perspective.
(2) To explore how blocks to flows of compassions serve to negatively impact and/or maintain difficult emotional experiences of climate scientists.
(3) To consider ways in which the field of psychological therapy can support climate scientists through a difficult emotional journey, and how future research might explore this further.
This chapter explores the role of three global economic institutions (GEIs) in contemporary economic governance: the International Monetary Fund, (IMF), the World Bank and the World Trade Organisation (WTO). GEIs are key components of global economic governance, and their activities are central to the pursuit of accountability, efficiency and equity in the global economy. The impact of GEIs on states and societies is complex and widely varying assessments of the performance of these organisations can be found in the literature. Given the absence of theoretical consensus on the roles and functions of GEIs, the first part of the chapter examines competing perspectives on international organisations.
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Part III
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Intersections: National(ist) Synergies and Tensions with Other Social, Economic, Political, and Cultural Categories, Identities, and Practices
When Britain unilaterally embraced free trade in 1846, proponents at home and abroad widely assumed that the rest of the industrializing world would soon follow suit. But Britain’s economic cosmopolitan trump card received an unanticipated countermove from its competitors; one rival after another instead turned to economic nationalism in order to foster their infant industries at home and to expand their closed colonial markets abroad. Even Britain’s own settler colonies abandoned free trade by the turn of the century. Economic nationalism, not free trade, became the driving political economic force underpinning the century of imperial expansion from the mid-nineteenth century to the Second World War.
British free traders sought to curb this economic nationalist turn, and the United States, Britain’s resource-rich former colony, seemingly contained the most fruitful soil for free trade’s mid-nineteenth-century transplantation. All the early omens appeared promising.
Knowledge graphs have become a common approach for knowledge representation. Yet, the application of graph methodology is elusive due to the sheer number and complexity of knowledge sources. In addition, semantic incompatibilities hinder efforts to harmonize and integrate across these diverse sources. As part of The Biomedical Translator Consortium, we have developed a knowledge graph–based question-answering system designed to augment human reasoning and accelerate translational scientific discovery: the Translator system. We have applied the Translator system to answer biomedical questions in the context of a broad array of diseases and syndromes, including Fanconi anemia, primary ciliary dyskinesia, multiple sclerosis, and others. A variety of collaborative approaches have been used to research and develop the Translator system. One recent approach involved the establishment of a monthly “Question-of-the-Month (QotM) Challenge” series. Herein, we describe the structure of the QotM Challenge; the six challenges that have been conducted to date on drug-induced liver injury, cannabidiol toxicity, coronavirus infection, diabetes, psoriatic arthritis, and ATP1A3-related phenotypes; the scientific insights that have been gleaned during the challenges; and the technical issues that were identified over the course of the challenges and that can now be addressed to foster further development of the prototype Translator system. We close with a discussion on Large Language Models such as ChatGPT and highlight differences between those models and the Translator system.
Precision Medicine is an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle. Autoimmune diseases are those in which the body’s natural defense system loses discriminating power between its own cells and foreign cells, causing the body to mistakenly attack healthy tissues. These conditions are very heterogeneous in their presentation and therefore difficult to diagnose and treat. Achieving precision medicine in autoimmune diseases has been challenging due to the complex etiologies of these conditions, involving an interplay between genetic, epigenetic, and environmental factors. However, recent technological and computational advances in molecular profiling have helped identify patient subtypes and molecular pathways which can be used to improve diagnostics and therapeutics. This review discusses the current understanding of the disease mechanisms, heterogeneity, and pathogenic autoantigens in autoimmune diseases gained from genomic and transcriptomic studies and highlights how these findings can be applied to better understand disease heterogeneity in the context of disease diagnostics and therapeutics.
An experiment was performed using stereo particle image velocimetry (SPIV) in the Laboratoire de Mécanique des Fluides de Lille boundary layer facility to determine all the derivative moments needed to estimate the average dissipation rate of the turbulence kinetic energy $\epsilon = 2 \nu \langle {\mathsf{s}}_{ij}{\mathsf{s}}_{ij} \rangle$, where ${\mathsf{s}}_{ij}$ is the fluctuating strain rate and $\langle ~\rangle$ denotes ensemble averages. Also measured were all the moments of the full average deformation rate tensor, as well as all of the first, second and third fluctuating velocity moments except those involving pressure. The Reynolds number was $Re_\theta = 7634$ or $Re_\tau = 2598$. The present paper gives the measured average dissipation, $\epsilon$ and the derivative moments comprising it. The results are compared with the earlier measurements of Balint, Wallace & Vukolavcevic (J. Fluid Mech., vol. 228, 1991, pp. 53–86) and Honkan & Andreopoulos (J. Fluid Mech., vol. 350, 1997, pp. 29–96) at lower Reynolds numbers and to new results from a plane channel flow DNS at comparable Reynolds number. Of special interest is the prediction by George & Castillo (Appl. Mech. Rev., vol. 50, 1997, pp. 689–729) and Wosnik, Castillo & George (J. Fluid Mech., vol. 421, 2000, pp. 115–145) that $\epsilon ^+ \propto {x_2^+}^{-1}$ for streamwise homogeneous flows and a nearly indistinguishable power law, $\epsilon \propto {x_2^+}^{\gamma -1}$, for boundary layers. In spite of the modest Reynolds number, the predictions seem to be correct. Then the statistical character of the velocity derivatives is examined in detail, and a particular problem is identified with the breakdown of local homogeneity inside $x_2^+ = 100$. A more general alternative for partially homogeneous turbulence flows is offered which is consistent with the observations. With the help of DNS, the spatial characteristics of the dissipation very near the wall are also examined in detail.
This is a cross-sectional service evaluation study of the vaccination programme within the high secure setting of Broadmoor hospital with a view of improving the quality of it's delivery. We aimed to establish patients views about COVID-19 vaccinations particularly if there are any themes as to why the patients choose/did not choose to receive the vaccine. This information will be used to help us understand how to overcome vaccine hesitancy and anti-vaccine beliefs.
Methods
Patients across Eight wards were asked to participate in the study. 56 patients agreed to be administered the following semi-structured questionnaire by the doctors.
1. Have you had a COVID-19 vaccine?
2. Do you think there any advantages to taking a COVID-19 vaccine? Yes/No. If you think there are any advantages, please write these
3. Do you have any fears or worries about the COVID-19 vaccine? Yes/No. If you do have any fears or worries, please write these.
The results of this were reviewed and put into the categories that are cited below.
Results
14 patients had no vaccination, 2 had one, 38 had two or more.
34 patients said there were advantages, 13 said no advantages and 9 did not know. The themes of the advantages were established: Protects you from bad infection and symptoms (48), stops you from passing it on to others (3), blank (13), others (13) which included “Important to follow government guidelines, proven through history to work, it was offered, I'm more concerned with hepatitis, The doctor would have my best interests.”
30 patients stated that they did have fears and 26 did not. Common themes established were; side effects (17), Not tested correctly/given too quickly (5), Blood clots (2), positive comments (2), blank (22), others (10), which included, “Interaction with medications, more fear about face masks, injecting humanity with something could kill them, infertile generation, Control the public, don't like injections and alter the DNA genome.” The common side effects of concern were “painful arm, fever and headache.”
Conclusion
68% of patients had 2 or more vaccinations across the 8 wards studied. The commonest advantages cited by 86% of patients was to protect themselves from serious illness. The commonest fears or worries were of side-effects that result from the vaccine, although 46% patients had no worries and 39% gave no explanation for fears or worries. The fears and worries appeared mainly related to vaccine hesitancy rather than fixed generalised anti- vaccine views.
To assess relationships between breast-feeding, rapid growth in the first year of life and overweight/obesity status at the age of 2 years.
Design:
As part of an observational, longitudinal study beginning in early pregnancy, multivariable logistic regressions were used to assess associations between breast-feeding duration (total and exclusive) and rapid weight gain (RWG) between birth and 1 year of age, and to determine predictors of overweight/obesity status at the age of 2 years.
Setting:
Nine hospitals located in the province of Quebec, Canada.
Participants:
A sample of 1599 term infants who participated in the 3D Cohort Study.
Results:
Children having RWG in the first year and those having excess weight at the age of 2 years accounted for 28 % and < 10 %, respectively. In multivariable models, children breastfed < 6 months and from 6 months to < 1 year were, respectively, 2·5 times (OR 2·45; 95 % CI 1·76, 3·41) and 1·8 times (OR 1·78; 95 % CI 1·29, 2·45) more likely to show RWG up to 1 year of age compared to children breastfed ≥ 1 year. Children exclusively breastfed < 3 months had significantly greater odds of RWG in the first year (OR 1·94; 95 % CI 1·25, 3·04) compared to children exclusively breastfed for ≥ 6 months. Associations between breast-feeding duration (total or exclusive) and excess weight at the age of 2 years were not detected. RWG in the first year was found to be the main predictor of excess weight at the age of 2 years (OR 6·98; 95 % CI 4·35, 11·47).
Conclusions:
The potential beneficial effects of breast-feeding on rate of growth in the first year of life suggest that interventions promoting breast-feeding are relevant for obesity prevention early in life.
Sudden onset severe headache is usually caused by a primary headache disorder but may be secondary to a more serious problem, such as subarachnoid hemorrhage (SAH). Very few patients who present to hospital with headache have suffered a SAH, but early identification is important to improve patient outcomes. A systematic review was undertaken to assess the clinical effectiveness of different care pathways for the management of headache, suspicious for SAH, in the Emergency Department. Capturing the perspective of patients was an important part of the research.
Methods
The project team included a patient collaborator with experience of presenting to the Emergency Department with sudden onset severe headache. Three additional patients were recruited to our advisory group. The patient's perspective was collected at various points through the project including at team meetings, during protocol development and when interpreting the results of the systematic review and drawing conclusions.
Results
Patients were reassured by the very high diagnostic accuracy of computed tomography (CT) for detecting SAH. Patients and clinicians emphasized the importance of shared decision making about whether to undergo additional tests to rule out SAH, after a negative CT result. When lumbar puncture was necessary, patients expressed a preference to have it on an ambulatory basis; further research on the safety and acceptability of ambulatory lumbar puncture was recommended.
Conclusions
Patient input at the protocol development stage helped researchers understand the patient experience and highlighted important outcomes for assessment. Patient involvement added context to the review findings and highlighted the preferences of patients regarding the management of headache.
Sudden onset severe headache is usually caused by a primary headache disorder but occasionally is secondary to a more serious problem, such as subarachnoid hemorrhage (SAH). Guidelines recommend non-contrast brain computed tomography (CT) followed by lumbar puncture (LP) to exclude SAH. However, guidelines pre-date the introduction of more sensitive modern CT scanners. A systematic review was undertaken to assess the clinical effectiveness of different care pathways for the management of headache in the Emergency Department.
Methods
Eighteen databases (including MEDLINE and Embase) were searched to February 2020. Studies were quality assessed using criteria relevant to the study design; most studies were assessed using the QUADAS-2 tool for diagnostic accuracy studies. Where sufficient information was reported, diagnostic accuracy data were extracted into 2 × 2 tables to calculate sensitivity, specificity, false-positive and false-negative rates. Where possible, hierarchical bivariate meta-analysis was used to synthesize results, otherwise studies were synthesized narratively.
Results
Fifty-one studies were included in the review. Eight studies assessing the accuracy of the Ottawa SAH clinical decision rule were pooled; sensitivity was 99.5 percent, specificity was 23.7 percent. The high false positive rate suggests that 76.3 percent SAH-negative patients would undergo further investigation unnecessarily. Four studies assessing the accuracy of CT within six hours of headache onset were pooled; sensitivity was 98.7 percent, specificity was 100 percent. CT sensitivity beyond six hours was considerably lower (≤90%; 2 studies). Three studies assessing LP following negative CT were pooled; sensitivity was 100 percent, specificity was 95.2 percent. LP-related adverse events were reported in 5.3–9.5 percent of patients.
Conclusions
The evidence suggests that the Ottawa SAH Rule is not sufficiently accurate for ruling out SAH and does little to aid clinical decision making. Modern CT within six hours of headache onset (with images assessed by a neuroradiologist) is highly accurate, but sensitivity reduces considerably over time. The CT-LP pathway is highly sensitive for detecting SAH, although LP resulted in some false-positives and adverse events.
The Repugnant Conclusion is an implication of some approaches to population ethics. It states, in Derek Parfit's original formulation,
For any possible population of at least ten billion people, all with a very high quality of life, there must be some much larger imaginable population whose existence, if other things are equal, would be better, even though its members have lives that are barely worth living. (Parfit 1984: 388)
Recently, artificial intelligence-powered devices have been put forward as potentially powerful tools for the improvement of mental healthcare. An important question is how these devices impact the physician-patient interaction.
Aims
Aifred is an artificial intelligence-powered clinical decision support system (CDSS) for the treatment of major depression. Here, we explore the use of a simulation centre environment in evaluating the usability of Aifred, particularly its impact on the physician–patient interaction.
Method
Twenty psychiatry and family medicine attending staff and residents were recruited to complete a 2.5-h study at a clinical interaction simulation centre with standardised patients. Each physician had the option of using the CDSS to inform their treatment choice in three 10-min clinical scenarios with standardised patients portraying mild, moderate and severe episodes of major depression. Feasibility and acceptability data were collected through self-report questionnaires, scenario observations, interviews and standardised patient feedback.
Results
All 20 participants completed the study. Initial results indicate that the tool was acceptable to clinicians and feasible for use during clinical encounters. Clinicians indicated a willingness to use the tool in real clinical practice, a significant degree of trust in the system's predictions to assist with treatment selection, and reported that the tool helped increase patient understanding of and trust in treatment. The simulation environment allowed for the evaluation of the tool's impact on the physician–patient interaction.
Conclusions
The simulation centre allowed for direct observations of clinician use and impact of the tool on the clinician–patient interaction before clinical studies. It may therefore offer a useful and important environment in the early testing of new technological tools. The present results will inform further tool development and clinician training materials.
This chapter comprises the following sections: names, taxonomy, subspecies and distribution, descriptive notes, habitat, movements and home range, activity patterns, feeding ecology, reproduction and growth, behavior, parasites and diseases, status in the wild, and status in captivity.
Individuals with schizophrenia are more likely to smoke and less likely to quit smoking than those without schizophrenia. Because task persistence is lower in smokers with than without schizophrenia, it is possible that lower levels of task persistence may contribute to greater difficulties in quitting smoking observed among smokers with schizophrenia.
Aims
To develop a feasible and acceptable intervention for smokers with schizophrenia.
Methods
Participants (N = 24) attended eight weekly individual cognitive behavioral therapy sessions for tobacco use disorder with a focus on increasing task persistence and received 10 weeks of nicotine patch.
Results
In total, 93.8% of participants rated the intervention as at least a 6 out of 7 regarding how ‘easy to understand’ it was and 81.3% rated the treatment as at least a 6 out of 7 regarding how helpful it was to them. A total of 62.5% attended at least six of the eight sessions and session attendance was positively related to nicotine dependence and age and negatively related to self-efficacy for quitting.
Discussion
This intervention was feasible and acceptable to smokers with schizophrenia. Future research will examine questions appropriate for later stages of therapy development such as initial efficacy of the intervention and task persistence as a mediator of treatment outcome.
Discovered at the beginning of the twentieth century, the Abri Casserole (Dordogne, France) was the subject of salvage excavations in the early nineties. The fieldwork revealed a sequence of 13 archaeological levels that document human occupations from the Gravettian to the Magdalenian, including very rare and poorly known assemblages (e.g. Early Badegoulian, Protosolutrean) that afford a particular importance to this sequence. Results of a previous dating program that focused on the Badegoulian levels were obtained in 1994 but were neither extensively published nor discussed. Five AMS 14C ages obtained for the Gravettian and Solutrean assemblages in the early 2010s served to complement the site’s chronology. However, since the beta counting ages for the Badegoulian levels were in conflict with the accepted AMS chronology for the region’s late Pleniglacial archaeological record, a new AMS dating program was implemented to renew the radiometric framework of this specific portion of the sequence. Compared to the previous beta counting measurements, the seven newly obtained AMS ages are about 1000 years older (23.3–20.5 cal ka BP) and congruent with other AMS-dated Badegoulian sequences. These results thereby restore the inter-site chronological coherence of the Solutrean–Badegoulian and Badegoulian–Magdalenian transitions.
The current COVID-19 crisis is unprecedented in recent history. On April 1, 2020, the Secretary-General of the United Nations, Antonio Guterres, warned that the world was facing the most challenging crisis since World War II (Associated Press, 2020). With the pandemic taking on an unprecedented magnitude in the twenty-first century, it quickly monopolized media attention. As of early April, Radar+'s large dataset showed that about 65 per cent of headlines on major Canadian media websites were related to the COVID-19 pandemic.
There are a variety of causes of acute heart failure in children including myocarditis, genetic/metabolic conditions, and congenital heart defects. In cases with a structurally normal heart and a negative personal and family history, myocarditis is often presumed to be the cause, but we hypothesise that genetic disorders contribute to a significant portion of these cases. We reviewed our cases of children who presented with acute heart failure and underwent genetic testing from 2008 to 2017. Eighty-seven percent of these individuals were found to have either a genetic syndrome or pathogenic or likely pathogenic variant in a cardiac-related gene. None of these individuals had a personal or family history of cardiomyopathy that was suggestive of a genetic aetiology prior to presentation. All of these individuals either passed away or were listed for cardiac transplantation indicating genetic testing may provide important information regarding prognosis in addition to providing information critical to assessment of family members.
OBJECTIVES/SPECIFIC AIMS: Drug development is a common research pursuit for basic and clinical scientists that interfaces diagnostic/therapeutic challenges with funding agencies, pharmaceutical industry, regulatory systems, and education. The University at Buffalo Clinical and Translational Science Institute (CTSI) has implemented a Drug Development Core (DDC) with goals that foster team science and collaboration, optimize laboratory use, and networks investigators. Our goals are to foster collaborations within the region and with other CTSAs. METHODS/STUDY POPULATION: The DDC met with 300 potential investigators from 14 departments and several local companies. There were 35 portal requests from 15 departments and 7 companies; 8 were from training programs. For 28 requests, a reviewer provided consultation, while 7 required discussions and review of data. DDC assisted with 15 grant applications (outcomes pending), 10 industry-related new drug development requests and 1 regulatory review. Curriculum reviews noted overlap and gaps. Cross-institute opportunities for M.D.-Ph.D. research mentoring were identified. RESULTS/ANTICIPATED RESULTS: The DDC met with 300 potential investigators from 14 departments and several local companies. There were 35 portal requests from 15 departments and 7 companies; 8 were from training programs. For 28 requests, a reviewer provided consultation, while 7 required discussions and review of data. DDC assisted with 15 grant applications (outcomes pending), 10 industry-related new drug development requests and 1 regulatory review. Curriculum reviews noted overlap and gaps. Cross-institute opportunities for M.D.-Ph.D. research mentoring were identified. DISCUSSION/SIGNIFICANCE OF IMPACT: The CTSI DDC was well received by investigators. The request process fosters collaboration among researchers with similar interests and identifies core laboratory resources that add innovation to ongoing research, funding applications, education, and interinstitutional planning.