Lithiation phase behaviors of metal oxide anodes and extra capacities

Binary metal oxides have received sustained interest as anode materials due to their desirable capacities, exceeding theoretical values particularly in the first discharge. Although they have received increasing attention in recent years, topical debates persist regarding not only their lithiation mechanisms but also the origin of additional capacity. Aiming to resolve these disagreements, we perform a systematic study of a series of iron and manganese oxides to investigate their phase behavior during first discharge. Using a combination of in operando pair distribution function measurements and our recently developed Metropolis non-negative matrix factorization approach to address the analytical challenges concerning materials’ nanoscopic nature and phase heterogeneity, here we report unexpected observation of non-equilibrium FeOx solid-solution phases and pulverization of MnO. These processes are correlated with the extra capacities observed at different depths of discharge, pointing to a metal-dependent nature of this additional capacity and demonstrating the advantage of our approach with promising prospects for diverse applications

Outcome Feedback Effects on Risk Propensity in an MCPLP Task

In this experimental analysis, the effects of outcome feedback on risk propensity were assessed within the multiple-cue-probability-learning-paradigm (MCPLP). The individual decision maker in this task received outcome feedback on a decision-by-decision basis. It was hypothesized that information on his/her success or lack of success (outcome feedback) on each decision would influence the decision to risk (commit) resources. Hierarchical regression results revealed that after all other performance effects had been partialled out, current outcome feedback explained much of the commitment decision.Yeshttps://us.sagepub.com/en-us/nam/manuscript-submission-guideline

The Physics of Star Cluster Formation and Evolution

© 2020 Springer-Verlag. The final publication is available at Springer via https://doi.org/10.1007/s11214-020-00689-4.Star clusters form in dense, hierarchically collapsing gas clouds. Bulk kinetic energy is transformed to turbulence with stars forming from cores fed by filaments. In the most compact regions, stellar feedback is least effective in removing the gas and stars may form very efficiently. These are also the regions where, in high-mass clusters, ejecta from some kind of high-mass stars are effectively captured during the formation phase of some of the low mass stars and effectively channeled into the latter to form multiple populations. Star formation epochs in star clusters are generally set by gas flows that determine the abundance of gas in the cluster. We argue that there is likely only one star formation epoch after which clusters remain essentially clear of gas by cluster winds. Collisional dynamics is important in this phase leading to core collapse, expansion and eventual dispersion of every cluster. We review recent developments in the field with a focus on theoretical work.Peer reviewe

Doing Office Work on the Motorway

This article takes the motorway seriously as a place where the society of traffic can be found and studied. While many kinds of activities are done by drivers and passengers in parallel with driving on the motorway, such as listening to the radio, eating lunch or caring for, or being, children, I focus here on office work. Empirical material from a video-ethnography of one driver doing paperwork and overtaking a slow-moving vehicle ahead is used to examine in detail some of the practices of combining driving and office-duties in the car while in motion. Drawing on the work of Harvey Sacks, the article examines how this mobile society is naturally organized as an architectural configuration brought to life in the practices of driving in traffic. Overlooked phenomena that are orderly stable features of being mobile are analysed, such as ‘overtaking’, ‘tailgating’ and ‘cruising’. Where other writers have used ‘speed’ to theorize the contemporary period, a brief re-specification is offered in the light of the uses, moral and otherwise, of speed within, and as made apprehensible in relation to, traffic

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

An empirical analysis of the retention of dissatisfied business services customers using structural equation modelling

This study extends the body of literature concerning service switching, complaint handling, dependence and commitment by investigating why dissatisfied B2B customers do not switch service providers. Specifically, it develops and tests a social exchange-based model examining how dissatisfied, but behaviourally loyal, customers act in terms of their repurchase intentions. A conceptual model, specifying a set of hypothesised relationships between dimensions of switching costs, interpersonal relationships, dimensions of complaint handling, satisfaction with complaint handling, attractiveness of alternatives, dependence, calculative commitment and repurchase intentions, was examined using AMOS 17.0 on a sample of 376 business directors/managers from responding organisations. The results show that satisfaction with complaint handling, benefit-loss costs, dependence and calculative commitment significantly increase customers’ repurchase intentions. The findings also indicate that dependence, interpersonal relationships and specific types of switching costs influence customers’ calculative commitment, and the latter influences intentions to repurchase services. The study builds on the Investment Model by including justice components, and examines the effects of different types of antecedents on calculative commitment that have previously not been examined