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Preferential flow in a porous medium is commonly encountered in many practical applications. Our previous studies have discovered the preferential flow-induced non-monotonic wettability effect on displacement (J. Fluid Mech, vol. 942, 2022a, R5), but whether this non-monotonic rule is consistent for different disordered media and the impact of the interplay between the disorder and wettability under preferential flow conditions is still not well understood. Here, we combine microfluidic experiments, pore-scale simulations and theoretical analysis to study the impact of the disorder on the invading process where wettability varies from strongly water wet to strongly oil wet. Even though the strongly disordered matrix varies to a uniform state, the generality of the preferential flow-induced non-monotonic wettability effect is still proved. However, the previous pore-scale dynamics based on the strongly disordered matrix cannot explain the invading behaviour in the uniform matrix under preferential flow conditions. New mechanisms for the uniform matrix are further investigated by pore-scale modelling, which indicates that the balance of microscopic imbibition ability and the macroscopic interfacial stability dominate the invading process. We derive a theoretical model to describe the wettability effect and predict the optimal contact angle, which fits well with experimental and simulation results. Our work extends the understanding of the impact of preferential flow conditions on the wettability effect and is also of practical significance for engineering applications, such as geological CO2 sequestration, enhanced hydrocarbon recovery, soil wetting, liquid-infused material fabrication and microfluidic device design.
Our focus in this article concerns Leibniz's views on evil. Our goal is to examine which are the consequences of his conception of moral agency for the moral psychology of the genuinely evil person. For Leibniz, moral failure is an epistemic error since it involves some false practical judgement. Moral maxims may be represented in blind or symbolic cognitions, but then moral agents can misrepresent the evil consequences of their behaviour. Finally, we discuss Leibniz's view on habits that may help virtuous persons strive for perfection but also enable evil persons to continue sinning.
Molecular techniques are an alternative for the diagnosis of strongyloidiasis, produced by Strongyloides stercoralis. However, it is necessary to determine the best amplification target for the populations of this parasite present in a geographical area and standardize a polymerase chain reaction (PCR) protocol for its detection. The objectives of this work were the comparison of different PCR targets for molecular detection of S. stercoralis and the standardization of a PCR protocol for the selected target with the best diagnostic results. DNA extraction was performed from parasite larvae by saline precipitation. Three amplification targets of the genes encoding ribosomal RNA 18S (18S rDNA) and 5.8S (5.8S rDNA) and cytochrome oxidase 1 (COX1) of S. stercoralis were compared, and the PCR reaction conditions for the best target were standardized (concentration of reagents and template DNA, hybridization temperature, and number of cycles). The analytical sensitivity and specificity of the technique were determined. DNA extraction by saline precipitation made it possible to obtain DNA of high purity and integrity. The ideal target was the 5.8S rDNA, since the 18S rDNA yielded non-reproducible results and COX1 never amplified under any condition tested. The optimal conditions for the 5.8S rDNA-PCR were: 1.5 mM MgCl2, 100 μM dNTPs, 0.4 μM primers, and 0.75 U DNA polymerase, using 35 cycles and a hybridization temperature of 60 °C. The analytical sensitivity of the PCR was 1 attogram of DNA, and the specificity was 100%. Consequently, the 5.8S rDNA was shown to be highly sensitive and specific for the detection of S. stercoralis DNA.
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.