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.

We show theoretically and empirically that the cross-section of stock return idiosyncratic volatilities contains useful information about the ICAPM. We construct a proxy cross-sectional bivariate idiosyncratic volatility (CBIV) for the covariance risk between the market and the unobserved hedge portfolio under the ICAPM. Consistent with the ICAPM pricing relation, CBIV is a robust and significant predictor of the equity risk premium. We further show that the return predictability of the tail index in Kelly and Jiang (2014) can be explained by the ICAPM covariance risk.

Collaborative robotics in manufacturing introduces a new era of seamless human–robot collaboration (HRC), enhancing production line efficiency and adaptability. However, guaranteeing safe interaction while maintaining performance objectives presents significant challenges. Integrating safety with optimal robot performance is paramount to minimize task time and ensure its completion. Our work introduces an architecture for safety in confined human–robot workspaces by integrating existing safety and productivity methods into a unified framework specifically designed for constrained environments. By employing an improved artificial potential field, we optimize paths based on length and bending energy and compare baseline algorithms like gradient descent algorithm and rapidly exploring random tree (RRT*). We propose an evaluation metric for system performance that objectively maps to the system’s safety and efficiency in diverse collaborative scenarios. Additionally, the architecture supports multimodal interaction, including gesture-based inputs, for intuitive control and improved operator experience. Safety measures address static and dynamic obstacles using potential fields and safety zones, with a real-time safety evaluation module adjusting trajectories under specified constraints. A performance recovery algorithm facilitates swift resumption of high-speed operations post safety interventions. Validation includes comparing the algorithmic performance through simulations and experiments using the 6-degrees of freedom UR5 robot by universal robots to identify the most suitable algorithm. Results demonstrate an 83.87% improvement in system performance compared to ideal case scenarios, validating the effectiveness of the proposed architecture, evaluation metric, and multimodal interaction in enhancing safety and productivity.

The UK’s Health and Care Act (2022; paused until 2025) includes a globally novel ban on paid-for online advertising of food and beverage products high in saturated fat, salt and sugar (HFSS), to address growing concerns about the scale of digital marketing and its impact in particular on children’s food and beverage preferences, purchases and consumption. This study aimed to understand the potential impact of the novel ban (as proposed in 2020) on specified forms of online HFSS advertising, through the lens of interdisciplinary expertise. We conducted semi-structured interviews via videoconference with eight purposively selected UK and global digital marketing, food and privacy experts. We identified deductive and inductive themes addressing the policy’s scope, design, implementation, monitoring and enforcement through iterative, consensual thematic analyses. Experts felt this novel ‘breakthrough’ policy has potential to substantially impact global marketing by establishing the principle of no HFSS advertising online to consumers of all ages, but they also identified substantive limitations that could potentially render it ‘entirely ineffective’, for example, the exclusion of common forms of digital marketing, especially brand marketing and marketing integrated within entertainment content; virtual/augmented reality, and ‘advertainment’ as particularly likely spaces for rapid growth of digital food marketing; and technical digital media issues that raise significant barriers to effective monitoring and compliance. Experts recommended well-defined regulations with strong enforcement mechanisms. These findings contribute insights for effective design and implementation of global initiatives to limit online HFSS food marketing, including the need for government regulations in place of voluntary industry restrictions.

This article adopts a social constructivist approach to reinvestigate the Song-Liao relations that were manifested in the handscroll Eighteen Songs of a Nomad Flute 胡茄十八拍. Instead of offering a visual analysis of each of the 18 scenes in succession, it will point out the shared cultural practices and connotations of identity in the contrasting depictions of Song urban life and the nomad encampment. It argues that the handscroll probably represents the conservative faction's benevolent attitude towards nomadic tribes in the late Northern Song period, which is also likely to have been associated with the rise of Neo-Confucianism.

After a brief overview of Hans Zell’s publishing output, his own authorship, and that by others he published, I outline and assess his massive contribution to the bibliography and reference works of Africa, to African publishing and knowledge about it, and to associated networks and distribution in the North, as well as forays into the digital realm. In addition, I provide insights into his interaction with African studies librarians in the United States.

This study utilizes U.S. Patent Office data to explore potential improvements in the patent examination process through machine learning. It shows that integrating machine learning with human expertise can increase patent citations by up to 26%. Using machine learning predictions as benchmarks, I find that the early expiration rate of granted patents positively correlates with examiners’ false acceptance rates. These errors negatively impact public companies’ operational performance and reduce successful IPO or M&A exits for private firms. Overall, this study highlights significant social and economic benefits of incorporating machine learning as a robo-advisor in patent screening.

We measured brain activity using a functional magnetic resonance imaging (fMRI) paradigm and conducted a whole-brain analysis while healthy adult Democrats and Republicans made non-hypothetical food choices. While the food purchase decisions were not significantly different, we found that brain activation during decision-making differs according to the participant’s party affiliation. Models of partisanship based on left insula, ventromedial prefrontal cortex, precuneus, superior frontal gyrus, or premotor/supplementary motor area activations achieve better than expected accuracy. Understanding the differential function of neural systems that lead to indistinguishable choices may provide leverage in explaining the broader mechanisms of partisanship.

Sensory neuron membrane protein (SNMP) gene play a crucial role in insect chemosensory systems. However, the role of SNMP in the host searching behaviour of Rhopalosiphum padi (Hemiptera: Aphididae), a highly destructive pest of cereal crops, has not been clearly understood. Our previous research has shown that three wheat volatile organic compounds (VOCs) – (E)-2-hexenol, linalool, and octanal can attract R. padi, but the involvement of SNMP in the aphid’s olfactory response to these wheat VOCs has not to be elucidated. In this study, only one SNMP gene was cloned and characterised from R. padi. The results revealed that the SNMP belongs to the SNMP1 subfamily and was named RpadSNMP1. RpadSNMP11 was predominantly expressed in the antennae of the aphid, with significantly higher expression levels observed in winged forms, indicating that it is involved in olfactory responses of R. padi. RpadSNMP1 expression was significantly up-regulated following starvation, and the expression of this gene showed a decreasing trend after 24 h of aphid feeding. Functional analysis through RpadSNMP1 knockdown demonstrated a significant decrease in R. padi’s ability to search for host plants. The residence time of R. padi injected with dsRpadSNMP1 significantly shortened in response to (E)-2-hexenol, linalool and octanal according to the four-arm olfactometer, indicating the crucial role of RpadSNMP1 in mediating the aphid’s response to these wheat VOCs. Molecular docking suggested potential binding interactions between RpadSNMP1 and three wheat VOCs. Overall, these findings provided evidence for the involvement of RpadSNMP1 in host plant searching and lay a foundation for developing new methods to control this destructive pest.

Despite the tropics harbouring tremendous diversity of species and interspecific interactions, tropical moths as pollinators remain understudied. This review synthesises the available knowledge on the role of nocturnal moths in pollination and their importance in tropical ecosystems. It identifies significant research gaps, methodological challenges, and geographical biases, offering cues for future research. Moths represent crucial pollinators for numerous tropical plants across more than 25 families. In tropical communities, plants with sphingophilous and phalaenophilous flowers account for 4% to 13%, while moth-pollinated plants represent up to 20% of species, highlighting their ecological significance. Current knowledge shows biases and constraints stemming from the challenges of nocturnal research, such as complex moth behaviour, observational difficulties, and equipment limitations in tropical areas. Future research should broaden sampling in understudied tropical ecosystems and combine advanced technologies like video recordings, AI-driven identification, and pollen metabarcoding with detailed studies of nocturnal pollinators’ effectiveness in selected pollination systems. Moreover, such studies should integrate generalised pollination systems and community-level approaches to gather comprehensive datasets on nocturnal pollinators in the tropics. Filling these gaps is critical to understanding moths’ ecological and evolutionary roles, particularly in the context of the changing climate.

In a recent paper, the authors studied the distribution properties of a class of exchangeable processes, called measure-valued Pólya sequences (MVPSs), which arise as the observation process in a generalized urn sampling scheme. Here we present several results in the form of ‘sufficientness’ postulates that characterize their predictive distributions. In particular, we show that exchangeable MVPSs are the unique exchangeable models whose predictive distributions are a mixture of the marginal distribution and the average of a probability kernel evaluated at past observations. When the latter coincides with the empirical measure, we recover a well-known result for the exchangeable model with a Dirichlet process prior. In addition, we provide a ‘pure’ sufficientness postulate for exchangeable MVPSs that does not assume a particular analytic form for the predictive distributions. Two other sufficientness postulates consider the case when the state space is finite.

For decades, in most states with a party registration option, the percentage of voters registering as unaffiliated with a major political party has steadily increased. But who are these registered voters in these polarized partisan times, and why might they register without a major party? We address these questions by drawing on parallel large-N original surveys of registered voters in two southeastern states experiencing a notable rise in registered independents but with different electoral rules for unaffiliated registrants. The closed primary rule in Florida reflects a much greater share of major party registrants versus North Carolina, which has a semi-closed primary rule. Nevertheless, even with these different primary laws, in both states we find that the decision not to register with a major party strongly covaries with identity as a political independent. Hence, registration rules may alter registration patterns, but individuals claiming to be less attached to a major party are markedly more likely to manifest this position by registering unaffiliated.