This study focused on the relative contributions of cognitive aptitudes to the incidental learning and automatization of mini-language grammar. Over three sessions, participants (N = 45; first language [L1] Polish; age range: 19–35) completed computerized training in MiniItaliano as well as tasks tapping into working memory, general intelligence, and language analytic ability (LAA). The overt aim of the training was to comprehend messages placed in the context of an Italian supermarket; however, its actual goal was to acquire the target syntactic rules (i.e., subject-verb agreement, gender agreement, word order). The final session included a surprise post-test with untimed and timed grammaticality judgment tasks (GJTs) as measures of explicit and automatized knowledge, respectively. Results showed that performance on both tasks was predicted by LAA over and above other cognitive and control measures. Additionally, scores on the untimed GJTs were related to reliance on (self-discovered) rules, while timed GJTs involved general IQ.

In this article, the performance analysis and multiobjective structure optimization of 4RRR parallel mechanism are carried out. Firstly, the 4RRR pure rotation parallel mechanism and its design route are introduced. Secondly, the Jacobian matrices in 2DoF pure rotation and 3DoF pure rotation modes are derived using the motion equations of the mechanism. Next, the singularity analysis, kinematic dexterity analysis, dynamic dexterity analysis, and stiffness analysis of the mechanism are carried out, respectively, and it is proved that there is no singularity in the mechanism in its workspace. Since the dexterity performance expression is a nonlinear piecewise function, the kinematic local comprehensive dexterity index and the dynamic local comprehensive dexterity index are proposed as the objects of analysis. Furthermore, the kinematic global comprehensive dexterity index, the dynamic global comprehensive dexterity index, and the global comprehensive stiffness index are proposed to carry out the multiobjective structural optimization. Finally, NSGA3 was used to complete the optimization, and the comprehensive optimal solution of the structure size was obtained.

This article considers the question whether we can have direct, non-inferential knowledge of God, as experientialists such as Alston and Plantinga claim. Moreover, this needs to be done in a way that takes religious diversity into account. I contend that two developments in recent philosophy enable us to argue for direct knowledge of God in an inter-religious manner. The first is naturalized epistemology. I use a version of it in place of the epistemology employed by the experientialists. Specifically, I use methodological continuity between epistemology of science and epistemology of religion. This would help us to overcome dangers of religious balkanization and fideism. The second development is the increased focus on the importance of nature mysticism. This helps us to maintain the autonomy of religious experience. Since these experiences are considered universal, they enable us to engage in an experientialist version of natural theology in a manner that is at once continuous and discontinuous with Aquinas. It is continuous in its universality and generality and is discontinuous in using nature mystical experiences and not sense experience, as its starting point. The knowledge of God it gives is an inchoate awareness that finds different expression in different cultures.

The study is based on data from Chinese listed companies and explores the impact of a company’s position in the global value chain (GVC) on internal wage distribution and income inequality. The results show that although the improvement of GVC status in enterprises has increased the average salary level of all employees, it has exacerbated the wage gap between management and grassroots employees, leading to widening income inequality, mainly achieved through rent-sharing mechanisms. In addition, companies with higher human capital can alleviate the income inequality effect caused by the rise of GVC status. Further analysis reveals that the impact of GVC status on internal income inequality in enterprises is heterogeneous regarding property rights, employee bargaining power, and enterprise size. The study provides a new perspective on exploring the income distribution effects of the GVC from a micro perspective, emphasising that enterprises need to pay attention to building a fair and reasonable income distribution structure while being open to others at a high level. It is significant for promoting the construction of micro-mechanisms based on enterprises, fostering social equity and inclusive growth.

Humanoid robots are highly redundant, and finding whole-body optimal trajectories for various tasks is very complex. This paper proposes a method to find an energy-optimal, dynamically balanced, and collision-free trajectory of the 20 degrees of freedom humanoid robot in pick and place application. The task of pick and place is divided into three subtasks using the Pseudoinverse Jacobian method of redundancy resolution. The three subtasks are end effector trajectory represented by $\mathcal {T}_1$, hip trajectory represented by $\mathcal {T}_2$, and maximizing the manipulability represented by $\mathcal {T}_3$. The Pseudoinverse Jacobian method is coupled with particle swarm optimization (PSO) to find the optimal trajectories. The main contribution of this paper is the decomposition of the whole-body task of the humanoid robot into three distinct subtasks to find energy-optimal, dynamically balanced, and obstacle-free trajectories. The concept of virtual surface is used to avoid dragging objects on the table surface. The problem is optimized with Particle Swarm Optimization. Simulations were conducted to pick up and place objects from a table and constrained spaces like a drawer. The results show that the robot can pick and place objects from defined locations on the table.

A decisive voter’s exact ideological preferences can be hard to predict, even for seasoned candidates. We develop a novel theory of electoral competition where candidates are evaluated on ideological and nonideological dimensions. The key feature of our theory is that an electorate’s partisan leaning serves as a signal of the median voter’s ideological position where extreme leanings are more informative about voters than centrist leanings. We show that this leads to an endogenous sorting of districts between “extreme” and “centrist” and that an increase in the importance of candidate competence for voters increases polarization—but only in extreme districts. We evaluate our theory using data from mayoral elections in Brazil’s 95 largest municipalities and exploit COVID-19 as a shock to the salience of candidate competence. We show that COVID-19 increases the salience of competence in these elections, leading to increased political polarization, which is concentrated in cities with extreme partisan leanings.

While reformulation policies are commonly used to incentivise manufacturers to improve the nutrient profile of the foods and beverages they produce, only a few countries have implemented mandatory reformulation policies. This paper aimed to review evidence on the design, implementation challenges and effectiveness of mandatory reformulation policies and compare them to voluntary reformulation policies. The systematic search retrieved seventy-one studies including twelve on mandatory reformulation policies. Most mandatory reformulation policies were aimed at reducing trans-fatty acids or sodium in foods. Overall, mandatory reformulation policies were found to be more effective than voluntary ones in improving dietary intakes. Mandatory policies were implemented when voluntary policies either failed or were found to be insufficient to improve the composition of foods. Typical features of mandatory policies could also improve the design of voluntary policies. Examples include strict but attainable targets and a tight monitoring of compliance.

In this paper, we propose a hybrid sparse array design utilizing Delaunay Triangulation algorithm for element positioning and Convex algorithm for element excitation optimization. This Delaunay Triangulation algorithm yields a radiation pattern devoid of grating lobes. Then Convex algorithm is used to optimize the element excitations to further decrease side-lobe-level. The minimum inter-element distance is as large as 8 times of wavelength. The peak-side-lobe-level can be −17.3 dB. Furthermore, beam steering can be achieved with good performance within 80° field-of-view range.

This article documents a trend of declining flexibility in share repurchase policies over the last 4 decades. We show that repurchases have become particularly sticky for firms with repurchase programs in place. We also exploit the additional inflexibility within existing repurchase programs to show that repurchase stickiness can have real effects for firms. Using the 2008 financial crisis as a shock to firms’ ability to raise capital, we find that firms with ongoing share repurchase programs ending after Dec. 2007 reduced investment, employment, and R&D spending by more than similar firms with programs ending before the onset of the crisis.

Founded a century ago upon the initiative of three European men, each with links to colonial administration or mission, the International African Institute subsequently developed in directions that could hardly have been predicted. Most of those directly involved in the first two decades were from Belgium, Britain, France, Germany, Italy and Switzerland, including a growing number of academics. In addition to promoting creative writing in Africa and a common orthography for African languages, the Institute secured private American funding for a big research programme involving social anthropological fieldwork. After 1945, with decolonization on the horizon, the focus was on systematically producing ethnographic and linguistic handbooks. From the 1960s onwards the Institute endeavoured to shake off its remaining links to colonialism and – to a modest degree – to africanize itself. Its successes lay in organizing a series of International African Seminars, held at newly emerging African universities, and in continuing to produce the journal Africa, as well as several series of monographs.

The marketing of unhealthy foods has been implicated in poor diet and rising levels of obesity. Rapid developments in the digital food marketing ecosystem and associated research mean that contemporary review of the evidence is warranted. This preregistered (CRD420212337091)1 systematic review and meta-analysis aimed to provide an updated synthesis of the evidence for behavioural and health impacts of food marketing on both children and adults, using the 4Ps framework (Promotion, Product, Price, Place). Ten databases were searched from 2014 to 2021 for primary data articles of quantitative or mixed design, reporting on one or more outcome of interest following food marketing exposure compared with a relevant control. Reviews, abstracts, letters/editorials and qualitative studies were excluded. Eighty-two studies were included in the narrative review and twenty-three in the meta-analyses. Study quality (RoB2/Newcastle–Ottawa scale) was mixed. Studies examined ‘promotion’ (n 55), ‘product’ (n 17), ‘price’ (n 15) and ‘place’ (n 2) (some > 1 category). There is evidence of impacts of food marketing in multiple media and settings on outcomes, including increased purchase intention, purchase requests, purchase, preference, choice, and consumption in children and adults. Meta-analysis demonstrated a significant impact of food marketing on increased choice of unhealthy foods (OR = 2·45 (95 % CI 1·41, 4·27), Z = 3·18, P = 0·002, I2 = 93·1 %) and increased food consumption (standardised mean difference = 0·311 (95 % CI 0·185, 0·437), Z = 4·83, P < 0·001, I2 = 53·0 %). Evidence gaps were identified for the impact of brand-only and outdoor streetscape food marketing, and for data on the extent to which food marketing may contribute to health inequalities which, if available, would support UK and international public health policy development.

This article provides the first comprehensive evidence that the return extrapolation behavior of investors leads to biases in the expectations of volatility. Lower past returns are associated with higher expectations of volatility when using the physical, risk-neutral, and survey measures to estimate volatility expectations. Consistent with the return extrapolation framework, recent past returns have a larger impact than distant past returns on volatility expectations. Biases in volatility expectations are i) distinct from extrapolating past realized volatility, ii) asymmetrically induced by recent past negative returns, and iii) lead investors to pay more to insure against the perceived higher expected volatility.