Collaborative autoethnography can function as a means of reclaiming certain African realities that have been co-opted by colonial epistemes and language. This can be significant in very concrete ways: northern Uganda is suffering a catastrophic loss of tree cover, much of which is taking place on the collective family landholdings that academia and the development sector have categorized as “customary land.” A collaboration by ten members of such landholding families, known as the Acholi Land Lab, explores what “customary ownership” means to them and their relatives, with a view to understanding what may be involved in promoting sustainable domestic use of natural resources, including trees.

It is common to assume in empirical research that observables and unobservables are additively separable, especially when the former are endogenous. This is because it is widely recognized that identification and estimation challenges arise when interactions between the two are allowed for. Starting from a nonseparable IV model, where the instrumental variable is independent of unobservables, we develop a novel nonparametric test of separability of unobservables. The large-sample distribution of the test statistics is nonstandard and relies on a Donsker-type central limit theorem for the empirical distribution of nonparametric IV residuals, which may be of independent interest. Using a dataset drawn from the 2015 U.S. Consumer Expenditure Survey, we find that the test rejects the separability in Engel curves for some commodities.

In this paper, we prove Kato’s main conjecture for $CM$ modular forms for primes of potentially ordinary reduction under certain hypotheses on the modular form.

There are growing concerns about housing affordability throughout Europe. Recent studies by Housing Europe and the OECD have suggested that we are witnessing a generalised deterioration in housing affordability, while other studies point to worsening housing affordability for specific groups, such as renters or low-income households. The aim of this paper is to explore trends in, and incidences and determinants of, housing affordability in a comparative European context over the period 2010 to 2018. To do this we analyse data from the EU Statistics on Income and Living Conditions survey. We examine trends across different measures of housing affordability; examine its association with a variety of socio-economic characteristics and explore country-level differences in housing affordability problems. Our study finds that despite claims of worsening housing affordability, affordability measures show little sign of generalised deterioration over the period in question but that risks of affordability problems have become more concentrated on market renters during this period. At the country level, we find that gross domestic product (GDP) per capita and the at-risk-of-poverty rate are associated with housing affordability problems both between countries as well as within countries over time, while housing allowance coverage and rent regulation stringency are associated with affordability problems between countries.

This article begins with biographical sketches of the Ming thinker Luo Rufang 羅汝芳 (js. 1553, 1515–1588), which take place in the Jiajing reign (1522–1566). This time period marks the first high tide of Wang Yangming's philosophy. As a lecturer, Luo Rufang headed discussion gatherings (jiangxue 講學) and implemented community compacts (xiangyue 鄉約), all of which derived inspiration from Wang Yangming. Although Luo could confidently instill Confucian values in his audience, behind his endorsement of moral learning lay a personal history of doubt, struggle, and search for authority. To uncover the personal search for meaning and moral authority, Luo is an excellent example. A selection of conversations Luo had with his students and followers reveal his personal struggles, which can be aligned with his biography. Luo's quest for sagehood is less abstract; it is a personal reflection on which sage ought to be followed.

Neotropical cyclocephaline beetles, a diverse group of flower-loving insects, significantly impact natural and agricultural ecosystems. In particular, the genus Cyclocephala, with over 350 species, displays polymorphism and cryptic complexes. Lacking a comprehensive DNA barcoding framework, accessible tools for species differentiation are needed for research in taxonomy, ecology, and crop management. Moreover, cuticular hydrocarbons are believed to be involved in sexual recognition mechanisms in these beetles. In the present study we examined the cuticular chemical profiles of six species from the genus Cyclocephala and two populations of Erioscelis emarginata and assessed their efficiency in population, species, and sex differentiation. Overall we identified 74 compounds in cuticular extracts of the selected taxa. Linear alkanes and unsaturated hydrocarbons were prominent, with ten compounds between them explaining 85.6% of species dissimilarity. Although the cuticular chemical profiles efficiently differentiated all investigated taxa, only C. ohausiana showed significant cuticular profile differences between sexes. Our analysis also revealed two E. emarginata clades within a larger group of ‘Cyclocephala’ species, but they were not aligned with the two studied populations. Our research underscores the significance of cuticular lipid profiles in distinguishing selected cyclocephaline beetle species and contemplates their potential impact as contact pheromones on sexual segregation and speciation.

Using a life tables approach with 2011–2017 claims data, we calculated lifetime risks of Clostridioides difficile infection (CDI) beginning at age 18 years. The lifetime CDI risk rates were 32% in female patients insured by Medicaid, 10% in commercially insured male patients, and almost 40% in females with end-stage renal disease.

This essay inaugurates One British Archive, a new series in the Journal of British Studies. This short essay describes the little-known archive, libraries, and museum of Stonyhurst College in England. Stonyhurst represents a continuation of the College of St Omers, a Catholic institution started in continental Europe in the sixteenth century, when Catholics were routinely prosecuted in England. This transnational quality of British expatriate communities in Europe is reflected in the collections. The modern preparatory school contains not only the records of St Omers but also the papers and books of numerous local families and school children that passed through its doors. The current archive, libraries, and museum are thus a treasure trove for anyone pursuing studies into Catholicism, book history, British education, and more.

The year 2020 set into motion a perfect storm that would lead to the global panic ignited by the murder of George Floyd in late May of that year. The COVID-19 virus impacted billions of people around the world. With many forced to shelter in place at home, some Americans for the first time (and an exhaustingly innumerable time for others) observed up close the inequality apparent in American policing. On average, Black Americans are 2.9 times more likely to be shot and killed by the police, with very few officers held accountable and prosecuted for these deaths.1 One cannot make sense of this special section on Corporate Responses to Racial Unrest without an examination of this fact and the events leading up to Floyd’s murder. Statistically speaking, however, the year 2020 did not signal anything unusual. In that year, according to Statistica.com, U.S. police killed 1,020 people. Fatalities had been rising steadily from 981 in 2017 to 983 in 2018 and 999 in 2019. 2 It is not immediately apparent how best to interpret these numbers. What justifies police use of deadly force, and in turn, what is an acceptable rate of police killings per year? Or is this even a productive line of thought? The effectiveness of police power in the United States has been a standing debate since the foundations of American government.3 And the nature of inequality marked by race within policing has been demonstrated countless times in the literature.4 Reforming the phenomenon of “policing” in the United States, however, though simple to call for, is complicated to enact—not least owing to the “blue wall of silence” that protects police officers from the consequences of misconduct and the near-term spikes in crime and expenses that the very communities who are most disadvantaged by current policing practices are forced to bear.

In this study, a fuzzy reinforcement learning control (FRLC) is proposed to achieve trajectory tracking of a differential drive mobile robot (DDMR). The proposed FRLC approach designs fuzzy membership functions to fuzzify the relative position and heading between the current position and a prescribed trajectory. Instead of fuzzy inference rules, the relationship between the fuzzy inputs and actuator voltage outputs is built using a reinforcement learning (RL) agent. Herein, the deep deterministic policy gradient (DDPG) methodology consisted of actor and critic neural networks is employed in the RL agent. Simulations are conducted with considering varying slip ratio disturbances, different initial positions, and two different trajectories in the testing environment. In the meantime, a comparison with the classical DDPG model is presented. The results show that the proposed FRLC is capable of successfully tracking different trajectories under varying slip ratio disturbances as well as having performance superiority to the classical DDPG model. Moreover, experimental results validate that the proposed FRLC is also applicable to real mobile robots.