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Studies indicate that gut microbiota is related to neurodevelopmental and behavioral outcomes. Accordingly, early gut microbiota composition (GMC) has been linked to child temperament, but research is still scarce. The aim of this study was to examine how early GMC at 2.5 months is associated with child negative and fear reactivity at 8 and 12 months since they are potentially important intermediate phenotypes of later child psychiatric disorders.
Methods:
Our study population was 330 infants enrolled in the longitudinal FinnBrain Birth Cohort Study. Gut microbiota composition was analyzed using stool sample 16s rRNA sequencing. Negative and fear reactivity were assessed using the Laboratory Temperament Assessment Battery (Lab-TAB) at child’s age of 8 months (n =150) and the Infant Behavior Questionnaire-Revised Short Form (IBQ-R SF) at child’s age of 12 months (n = 276).
Conclusions:
We found a positive association between alpha diversity and reported fear reactivity and differing microbial community composition based on negative reactivity for boys. Isobutyric acid correlated with observed negative reactivity, however, this association attenuated in the linear model. Several genera were associated with the selected infant temperament traits. This study adds to the growing literature on links between infant gut microbiota and temperament informing future mechanistic studies.
Despite decades of research, a universal method for prediction of roughness-induced skin friction in a turbulent flow over an arbitrary rough surface is still elusive. The purpose of the present work is to examine two possibilities; first, predicting equivalent sand-grain roughness size $k_s$ based on the roughness height probability density function and power spectrum (PS) leveraging machine learning as a regression tool; and second, extracting information about relevance of different roughness scales to skin-friction drag by interpreting the output of the trained data-driven model. The model is an ensemble neural network (ENN) consisting of 50 deep neural networks. The data for the training of the model are obtained from direct numerical simulations (DNS) of turbulent flow in plane channels over 85 irregular multi-scale roughness samples at friction Reynolds number $Re_\tau =800$. The 85 roughness samples are selected from a repository of 4200 samples, covering a wide parameter space, through an active learning (AL) framework. The selection is made in several iterations, based on the informativeness of samples in the repository, quantified by the variance of ENN predictions. This AL framework aims to maximize the generalizability of the predictions with a certain amount of data. This is examined using three different testing data sets with different types of roughness, including 21 surfaces from the literature. The model yields overall mean error 5 %–10 % on different testing data sets. Subsequently, a data interpretation technique, known as layer-wise relevance propagation, is applied to measure the contributions of different roughness wavelengths to the predicted $k_s$. High-pass filtering is then applied to the roughness PS to exclude the wavenumbers identified as drag-irrelevant. The filtered rough surfaces are investigated using DNS, and it is demonstrated that despite significant impact of filtering on the roughness topographical appearance and statistics, the skin-friction coefficient of the original roughness is preserved successfully.
Decompressive craniectomy is part of the acute management of several neurosurgical illnesses, and is commonly followed by cranioplasty. Data are still scarce on the functional and cognitive outcomes following cranioplasty. We aim to evaluate these outcomes in patients who underwent cranioplasty following traumatic brain injury (TBI) or stroke.
Methods:
In this prospective cohort, we assessed 1-month and 6-month neuropsychological and functional outcomes in TBI and stroke patients who underwent cranioplasty at a Brazilian tertiary center. The primary outcome was the change in the Digits Test at 1 and 6 months after cranioplasty. Repeated measures general linear models were employed to assess the patients' evolution and interactions with baseline characteristics. Effect size was estimated by the partial η2.
Results:
A total of 20 TBI and 14 stroke patients were included (mean age 42 ± 14 years; 52.9% male; average schooling 9.5 ± 3.8 years; 91.2% right-handed). We found significant improvements in the Digits Tests up to 6 months after cranioplasty (p = 0.004, partial η2 = 0.183), as well as in attention, episodic memory, verbal fluency, working memory, inhibitory control, visuoconstructive and visuospatial abilities (partial η2 0.106–0.305). We found no interaction between the cranioplasty effect and age, sex or schooling. Patients submitted to cranioplasty earlier (<1 year) after injury had better outcomes.
Conclusion:
Cognitive and functional outcomes improved after cranioplasty following decompressive craniectomy for stroke or TBI. This effect was consistent regardless of age, sex, or education level and persisted after 6 months. Some degree of spontaneous improvement might have contributed to the results.
We consider the holder of an individual tontine retirement account, with maximum and minimum withdrawal amounts (per year) specified. The tontine account holder initiates the account at age 65 and earns mortality credits while alive, but forfeits all wealth in the account upon death. The holder wants to maximize total withdrawals and minimize expected shortfall at the end of the retirement horizon of 30 years (i.e., it is assumed that the holder survives to age 95). The holder controls the amount withdrawn each year and the fraction of the retirement portfolio invested in stocks and bonds. The optimal controls are determined based on a parametric model fitted to almost a century of market data. The optimal control algorithm is based on dynamic programming and the solution of a partial integro differential equation (PIDE) using Fourier methods. The optimal strategy (based on the parametric model) is tested out of sample using stationary block bootstrap resampling of the historical data. In terms of an expected total withdrawal, expected shortfall (EW-ES) efficient frontier, the tontine overlay dramatically outperforms an optimal strategy (without the tontine overlay), which in turn outperforms a constant weight strategy with withdrawals based on the ubiquitous four per cent rule.
We analytically characterize the comparative statics of the macroeconomy after income tax reductions in which production is organized in networks around the inefficient economy. We contribute to the literature by showing that in production networks, income taxes have different effects from revenue taxes which are assumed to be real distortions in the literature. The sectoral income tax reductions’ first-order effect on the GDP is given by a sufficient statistics: the product of the sectoral labor demand elasticity and sectoral Domar weight minus the sectoral labor share in the total labor supply, the latter of which is adjusted for labor supply elasticity if labor is elastic. We apply this model to quantify the effects of income tax reductions during the COVID-19 pandemic in the USA.
For several decades, civil society has sought to impose greater responsibility on companies for cross-border social wrongs. Multiple legal subfields and initiatives have emerged to take on this work: corporate social responsibility (CSR); business and human rights (BHR); responsible business conduct codes; environment, social, and governance (ESG) standards; and corporate due diligence schemes, among them. These many projects have culminated in national legislation across a range of jurisdictions imposing reporting and compliance requirements on companies, as well as in the development of soft law standards. Despite these efforts, international treaty initiatives to create binding obligations on companies and to require them to adopt certain human rights principles have made limited progress.
Older adults were particularly vulnerable to the COVID-19 pandemic, necessitating significant efforts to avoid contamination. This extraordinary situation posed an increased risk of mental pressure, and the ability to handle stressful situations is affected by several aspects. Therefore, this study aims to explore the coping strategies employed by older adults during the early months of the COVID-19 pandemic. A sample of 41 Swedish older adults aged 70–85 participated in phone interviews regarding their experiences with social distancing due to COVID-19. The interviews were conducted between April and May 2020, with nine follow-up interviews conducted in November and December 2020. The findings revealed results that despite the challenging circumstances, the participants demonstrated a strong mindset and resilience. Strategies utilised to improve their wellbeing and manage the situation included following recommendations, accepting the situation and maintaining a positive outlook. The influence of previous experiences on their coping strategies was evident. Additionally, the participants expressed a longing for their relatives and a need to adopt new technologies to manage their everyday lives. The follow-up interviews indicated no significant changes in worry or behaviour; if anything, participants were less worried at the beginning of the pandemic. This study contributes to the ongoing discussion on vulnerability among older adults by highlighting the diverse range of coping strategies employed during a prolonged crisis such as the COVID-19 pandemic. It demonstrated that though they are medically vulnerable, they are situationally resilient and, in many ways, well set to handle a challenging situation. During crises, older adults might need practical assistance. On the other hand, they can be a resource regarding mental preparedness during crises. Further research should explore the possibilities of balancing the needs of older adults and, at the same time, viewing them as a resource during long-time crises.
Beginning in 1900, colonial railway departments in Sierra Leone, the Gold Coast, and Nigeria began turning to the Caribbean for skilled labor instead of hiring African workers. When West Indian railway workers began to arrive in West Africa, Africans were indignant, and they voiced their objections in newspapers. West Indians sometimes responded to these grievances with calls for racial unity, yet their appeals were inflected with colonial hierarchies. Such exchanges were centered on railway jobs, but they were also embedded in larger discussions about empire, race, and the legacies of the transatlantic slave trade. I argue that these exchanges reveal the significance of colonial hierarchies and diasporic tensions in the intellectual history of pan-Africanism in early twentieth-century West Africa. The article draws on newspapers and archival research from West Africa, the Caribbean, and the UK.
Women who experience pregnancy loss are at increased risk of psychological distress, including post-traumatic stress disorder (PTSD) and depression. Despite the substantial evidence base for trauma-focused cognitive behavioural therapy (CBT) for PTSD, there is limited research on this specific type of trauma, as well as a dearth of research exploring treatment for co-morbid PTSD and depression. This study used a single case experimental design to assess the efficacy of sequential CBT for treating PTSD and depression in a primary care setting in the United Kingdom. Results demonstrate a reduction in scores on the PCL-5 following trauma-focused CBT, but not a clinically significant reduction in depression scores. This write-up reflects on the effectiveness of sequential treatment and suggests alternative approaches. Future directions for research are also given.
Dedication: The authors dedicate this paper to all parents who have experienced pregnancy or baby loss.
Key learning aims
(1) To gain an understanding of some of the challenges in delivering CBT for trauma related to pregnancy loss.
(2) To reflect on treatment of co-morbid PTSD and depression through flexible use of evidence-based treatment, and consider alternative approaches to sequential treatment.
(3) To consider the impact of grief in formulation and treatment.
Using a combination of proper variable transformation and integral methods, we rigorously derive an analytical formulation for the mean wall-normal velocity in turbulent boundary layers (TBLs) subjected to arbitrary pressure gradients. The accuracy and robustness of this novel formulation are validated extensively through comparisons with two independent sets of numerical simulation data, demonstrating excellent agreement in both near-equilibrium and non-equilibrium TBLs. In addition, the robustness of the analytical formulations to various choices of boundary-layer edge definition is further confirmed in non-equilibrium TBLs. Our formulation includes a streamwise derivative term, which has minimal significance in near-equilibrium TBLs but plays a crucial role in determining the mean wall-normal velocity in non-equilibrium TBLs. Moreover, we investigate the physical significance of the pre-factors associated with the mean wall-normal velocity components, and unveil a close connection between a previously defined pressure gradient parameter and the ratio of these pre-factors in the analytical equation governing the mean wall-normal velocity. The insights gained from the examination of the pre-factors and their connection to the pressure gradient parameter offer valuable knowledge for interpreting and predicting the behaviour of turbulent boundary layers in various practical applications.
The coronavirus disease 2019 (COVID-19) pandemic as well as other recent natural emergencies have put the spotlight on emergency planning. One important aspect is that natural disasters or emergencies often lead to indirect deaths, and studying the behavior of indirect deaths during emergencies can guide emergency planning. While many studies have suggested many indirect deaths in Puerto Rico due to Hurricane Maria; the specific causes of these deaths have not been carefully studied.
Methods:
In this study, we use a semiparametric model and mortality data to evaluate cause of death trends. Our model adjusts for cause of death effect potentially varying over time while also inferring on how long excess deaths occurred.
Results:
From September 2017 to March 2018, after adjusting for intra-annual variability and population displacement, we find evidence of significant excess deaths due to Alzheimer’s/Parkinson, heart disease, sepsis, diabetes, renal failure, and pneumonia and influenza.
Conclusions:
In contrast, for the same time period we find no evidence of significant excess deaths due to cancer, hypertension, respiratory diseases, cerebrovascular disease, suicide, homicide, falling accidents, and traffic accidents.
The recently published Model Core Content of Disaster Medicine introduces proposed curriculum elements for specialized education and training in Disaster Medicine. This editorial comments on the publishing decision for the manuscript.
Trichinellosis is a global food-borne disease caused by viviparous parasitic nematodes of the genus Trichinella. Due to the lack of effective, safe therapy and the documented adverse effects of traditional therapy, this study aimed to evaluate the therapeutic effect of acetazolamide-loaded silver nanoparticles (AgNPs) on murine trichinellosis. Fifty male Swiss albino mice were divided into five groups of ten mice each: Group I, normal control group; Group II, infected with T. spiralis and not treated; Group III, infected and given AgNPs; Group IV, infected and treated with acetazolamide; and Group V, infected and treated with acetazolamide-loaded AgNPs. Mice were infected orally with 250 larvae. The efficacy was assessed by counting T. spiralis adults and larvae, measuring serum total antioxidant capacity, and observing the histopathological and ultrastructural alterations. Acetazolamide-loaded AgNPs treatment exhibited the highest percentage of reduction (84.72% and 80.74%) for the intestinal adults and the muscular larvae of T. spiralis-infected animals, respectively. Furthermore, during the intestinal and muscular phases, the serum of the same group had the best free-radical scavenging capacity (antioxidant capacity), which reduced tissue damage induced by oxidative stress. Histopathologically, the normal intestinal and muscular architecture was restored in the group treated with acetazolamide-loaded AgNPs, in addition to the reduced inflammatory infiltrate that alleviated inflammation compared to infected animals. Our results confirmed the marked destruction of the ultrastructural features of T. spiralis adults and larvae. Acetazolamide-loaded AgNPs are a promising therapy against T. spiralis infection.
In the recent years, there has been an upsurge in the number of countries that are mainstreaming gender equality concerns in their trade and investment agreements. These recent developments challenge the long-standing assumption that trade, investment, and gender equality are not related. They also show that gender mainstreaming in trade and investment agreements is here to stay. However, very few countries – mostly developed countries – have led this mainstreaming approach and have made efforts to incentivize other countries to negotiate gender-responsive trade and investment agreements. The majority of developing countries are yet to take their first steps in negotiating such policy instruments with a gender lens, and their hesitation can be grounded in various reasons including fears of protectionism, lack of data, paucity of understanding and expertise, and, more broadly, constraints relating to their negotiation capacity. Moreover, the inclusion of gender-related concerns in the negotiation of such agreements has deepened and widened the negotiation capacity gap between developed and developing countries. In this article, the authors attempt to assess this widening negotiation capacity gap with the help of empirical research, and how this capacity gap can lead to disproportionate and negative repercussions for developing countries more than developed countries.
Previous research has highlighted the importance of past life experiences in the theoretical and conceptual understanding of loneliness. However, adding a lifecourse perspective to loneliness research remains underexplored. To comprehend the complexity of loneliness in old age, it is crucial to pay attention to the lifecourse perspective. This study addresses an important lifecourse perspective on loneliness through an in-depth, narrative approach. Building on the cognitive discrepancy theory, this study examines how precipitating events and coping strategies throughout the lifecourse may influence current feelings of loneliness in older adults. We qualitatively examined the experienced lifecourse of 20 lonely older adults living in Belgium by applying a modified version of the McAdams life-story interview scheme. Next, we conducted eight member-check interviews. A first finding provided insight into the importance of precipitating events during the lifecourse for current loneliness. The results pointed not only to the lifelong impact of events during childhood and adulthood, which may lead to vulnerability to loneliness later in life: unrealised life events (e.g. not being able to have children) as well as events with no impact earlier in life nevertheless turned out to be relevant in the emergence of loneliness later in life. Second, the narratives revealed that several older adults who experienced loneliness earlier and later in life continued to use the same coping strategies throughout the lifecourse, whereas by contrast some older adults adapted their coping strategies based on previous experiences and improved their loneliness-coping skills. It also appeared that changes in people's resources, such as the presence of physical limitations, may make it more difficult to cope with loneliness in later life. The discussion makes a plea for lifelong prevention of and attention to loneliness.