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In order to resolve redundancy and path planning of a high DOF mobile manipulator using conventional approaches like Jacobian and a pseudoinverse method, researchers face the limitation of computational load and delay in response. If such kind of mobile manipulator is traversing the rough terrain, then conventional methods become too costly to implement due to the handling of redundant joints, obstacles, and wheel-terrain interaction. A few optimization-based redundancy resolution approaches try incorporating wheel-terrain interaction but fail in real-time response. This paper describes a 14 DOF Rover Manipulator System’s end-effector path-tracking approach using CG-Space framework to incorporate wheel-terrain interaction. CG-Space means the center of gravity (CG) locus of the Rover. The Rover’s CG is calculated while traversing over 3D terrain using a multivariable optimization method and a 3D point cloud image of the actual terrain and stored as CG-Space over the given terrain. First of all, we decide which part of the system moves to track the path, that is, arm or Rover, depending upon the manipulator’s work volume and manipulability measure restrictions. The next task is to obtain the Rover pose according to the end-effector path using a simple arm’s inverse kinematic solution between the CG-Space and end-effector task space without resolving redundancy. Meanwhile, obstacles and non-traversable regions are avoided in CG-Space. On diverse 3D terrains, simulation and experimental results support the suggested CG-Space framework for end-effector tracking.
A typical feature of thermal convection is the formation of large-scale flow (LSF) structures of the order of system size. How this structure affects global heat transport is an important issue in the study of thermal convection. We present an experimental study of the coupling between the flow structure and heat transport in liquid metal convection with different degrees of spatial confinement, characterized by the aspect ratio $\varGamma$ of the convection cell. Combining measurements in two convection cells with $\varGamma =1.0$ and 0.5, the study shows that a large-scale circulation (LSC) transports ${\sim }35\,\%$ more heat than a twisted LSC. It is further found that when the LSF is in the form of the LSC state, the system is in a fully developed turbulence state with a $Nu\sim Ra^{0.29}$ scaling for the heat transport. However, the twisted LSC state with a heat transport scaling of $Nu\sim Ra^{0.37}$ appears when the system is not in the fully developed turbulence state. Bistability is observed when the system evolves from the twisted-LSC-dominated to the LSC-dominated state.
In decentralized systems, citizens struggle to identify which level of government provides local goods. This problem is particularly salient in weakly institutionalized party environments, where politicians at different levels of government are less likely to benefit from partisan coattail effects. This article asks how citizens attribute credit for local public goods. I argue that citizens have a strong tendency to attribute credit to local politicians. As a result, citizens will respond differently to credit-claiming behavior by local and national politicians. Local politicians experience a ceiling effect, in which credit claiming has no effect on how citizens attribute credit. However, national politicians have no such ceiling and can claim credit to increase the likelihood that citizens will attribute credit to them. As a result, both political actors can receive credit for the same local goods. The article tests and supports these theoretical predictions using a vignette survey experiment in Colombia.
This article will address the transfer of religious knowledge in two north-western European cities from a spatial perspective. Our starting point will be the thesis that immobile knowledge in closed places of knowledge (lieux de savoir) does not exist: (religious) knowledge only becomes functional in the dynamic encounter with users and it is disseminated through social networks. This approach, which involves the movement from closed spaces to processes and practices, also entails a questioning of outdoor and indoor spaces; of private and public spaces. The article will take its start from several case-studies of indoor public spaces, the transmission of religious knowledge and social networks, based on documentation from Deventer in the northern Low Countries and Amiens on the border of the southern Low Countries and France.
Protests differ and so do protest outcomes. This is also the case in food delivery gig work, which is characterised by frequent labour unrest. Various cross-country analyses have pointed to the importance of the national context for the strategies and outcomes of courier protests. However, as the article shows, the protests already differ at the level of different cities. To analyse this, the study argues that the heterogeneity of protests in platform-mediated courier work is due to the spatially distinct logic of the respective cities. The research is based on two case studies of food delivery platforms in Germany, which were investigated with a mixed methods research design consisting of interviews, multi-sited ethnography and a survey. The findings show that the intrinsic logic of the two centres of courier protests studied (Cologne and Berlin) played a central role in the composition of the protesting groups, their strategies and subsequently the outcomes. However, it turns out that intrinsic logics are not homogeneous and in fact may exist in various forms, which can be complementary or in conflict with each other and are supported and realised by different social groups. In addition, the size of the cities also proves to be decisive for the dynamics of the protests.
The seedcorn maggot, Delia platura (Meigen) (Diptera: Anthomyiidae), is reported as a polyphagous pest species found in numerous crops, including onion, corn, crucifers, and soy. Two morphologically identical genetic lines of D. platura (H- and N-lines) with distinct distribution ranges were recently discovered. Although many biological traits have been described for D. platura, no study to date has been conducted on the life history strategies and reproductive behaviours of its two lines. Using laboratory-reared colonies, this project investigates the effect of group composition (sex ratio and density) on the mating success and preoviposition period of the two D. platura lines. We found a substantial increase in mating success with increasing proportion of males within mating groups for both lines, whereas we found group density had negligible effects. However, the H-line had a lower average mating probability across treatments compared to the N-line. The preoviposition period decreased as the ratio of males to female increased at low density only for the N-line, and the opposite trend was observed at high density for both lines. These results suggest differences between the mating systems of these two lines, thereby highlighting the need for further research into the factors that influence their respective mating systems.
Grieve et al. (2022) tested the effects of an intervention designed to reduce perfectionism. Contrary to their hypotheses, the intervention reduced both perfectionism and excellencism. Furthermore, excellencism positively correlated with negative outcomes (e.g. anxiety).
Aims:
A theory-driven framework (with five hypothetical scenarios) is proposed to reconsider how we interpret the effectiveness of interventions designed to reduce perfectionism. Our goal was to offer a constructive reinterpretation of the results of Grieve et al. (2022) using our new framework derived from the Model of Excellencism and Perfectionism.
Method:
Secondary data analyses using the experimental and correlational results are published in the randomized control trial of Grieve et al. (2022).
Results:
Our re-examination of the results reveals that excellencism was reduced by a smaller extent (approximately 25% less) than perfectionism. Based on our framework, such a ratio provides conclusive evidence for the effectiveness of this intervention. Students entered the intervention as perfectionists and they ended up somewhere between the zones of excellence striving and non-perfectionism. Furthermore, our multivariate re-analysis of the bivariate correlations indicates that excellence strivers experienced better adjustment (lower anxiety, depression, stress, body-related acceptance, and higher self-compassion) compared with perfectionists.
Conclusion:
Future interventions should target the reduction of perfectionism and the maintenance of excellencism because excellencism relates to desirable outcomes. Our secondary data analysis was needed to inform researchers and practitioners about an alternative interpretation of Grieve and colleagues’ findings. Future interventions to reduce perfectionism should closely monitor excellencism and follow the interpretational guidelines advanced in this article.
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.