The present study generates information related to the molecular divergence between turcicum leaf blight (TLB)-resistant and -susceptible lines. During molecular diversity studies, a total of 212 alleles were detected at 75 marker loci and ranged from two to five with an average of 2.83 alleles per locus. A direct correlation for the number of alleles and polymorphism information content (PIC) values was ascertained. For instance, marker phi123 produced high number of alleles (5) with PIC values of 0.77. Using the DARwin 6.0 programme, the UPGMA dendrogram grouped 40 maize inbreds into two distinct clusters, cluster-I (36 inbreds) and cluster-II (4 inbreds). Cluster-I contained two subclusters; the first subcluster contained 28 inbreds and the second subcluster contained eight inbreds whereas cluster-II contained four inbreds. This major cluster-II was further classified into two subclusters which contained two inbreds each. Most of the inbred lines except V-25 from cluster-II were highly resistant to TLB disease. These inbred lines can be used in crossing programmes to develop TLB-resistant hybrids by using divergent parents. In this study, allelic diversity and PIC values indicated a good efficiency of markers for studying the polymorphism level available in studied inbred lines. High level of diversity among the inbreds detected with simple sequence repeat markers indicated their suitability for the further breeding programme.

Compromised kidney function is associated with an array of environmental contaminants and pathogens that may be considered for regulation. However, there are few valuation estimates for kidney effects for use in benefit–cost analyses, particularly willingness-to-pay estimates. This paper is one of several surveys valuing morbidity developed by the OECD Surveys to elicit Willingness-to-pay to Avoid Chemicals-related negative Health Effects project, which aims to improve the basis for benefit–cost analyses. We report the results of a stated preference survey valuing reduced the risk of symptomatic chronic kidney disease, filling an important gap in the valuation literature and addressing a need for applied benefits analysis of chemical regulation. The survey was administered to representative samples in each of 10 countries: Canada, Chile, China, Denmark, Germany, Italy, Norway, Türkiye, the United Kingdom, and the United States. The mean (median) WTP for an average reduction of 3.5 in 1,000 of the risk of serious kidney disease over 5 years is $2,609 ($764), corresponding to a mean (median) value per statistical case (VSC) of chronic kidney disease of $805,000 ($224,000). The mean VSC varies between $700,000 for Canada and $1,200,000 for Türkiye.

This paper is written at a tipping point in the development of generative AI and related technologies and services, which heralds a new battleground between humans and computers in the shaping of reality. Large language models (LLMs) scrape vast amounts of data from the so called ‘publicly available' internet, enabling new ways for the past to be represented and reimagined at scale, for individuals and societies. Moreover, generative AI changes what memory is and what memory does, pushing it beyond the realm of individual, human influence, and control, yet at the same time offering new modes of expression, conversation, creativity, and ways of overcoming forgetting. I argue here for a ‘third way of memory’, to recognise how the entanglements between humans and machines both enable and endanger human agency in the making and the remixing of individual and collective memory. This includes the growth of AI agents, with increasing autonomy and infinite potential to make, remake, and repurpose individual and collective pasts, beyond human consent and control. This paper outlines two key developments of generative AI-driven services: firstly, they untether the human past from the present, producing a past that was never actually remembered in the first place, and, secondly, they usher in a new ‘conversational’ past through the dialogical construction of memory in the present. Ultimately, developments in generative AI are making it more difficult for us to recognise the human influence on, and pathways from, the past, and that human agency over remembering and forgetting is increasingly challenged.

Poor mental health is a leading contributor to the global burden of disease but there is poor understanding of how it is influenced by people's interactions with ecological systems. In a theory-generating case study we asked how interactions with ecosystems were perceived to influence stressors associated with psychological distress in a rural setting in Uganda. We conducted and thematically analysed 45 semi-structured interviews with residents of Nyabyeya Parish. Poverty and food insecurity were the primary reported causes of ‘thinking too much’ and related idioms suggesting psychological distress. Households bordering a conservation area reported that crop losses from wildlife contributed to food insecurity. However, forest resources represented important safety nets for those facing poverty and food insecurity. Commercial agricultural expansion also emerged as a salient theme in the lives of residents, reportedly exacerbating poverty and food insecurity amongst poorer households but contributing incomes to wealthier ones. Our exploratory study suggests how two globally prevalent land uses, nature conservation and commercial agriculture, may influence social determinants of psychological distress in the study area. We highlight co-benefits and trade-offs between global sustainability goals that could be managed to improve mental health.

Evolution has shown that legged locomotion is most adequate for tasks requiring versatile movement on land, allowing animals to traverse a wide variety of environments ranging from natural terrain to artificial, man-made landscapes with great ease. By employing well-designed control schemes, this ability could be replicated for legged robots, enabling them to be used in critical situations that still pose great danger to human integrity, such as search and rescue missions, inspection of hazardous areas, and even space exploration. This work characterizes the quadruped robot and contact dynamics that will compose our in-house simulator to be used for prototyping locomotion control schemes applied to quadruped robots. The proposed simulator computes the robot dynamics using the Recursive Newton-Euler and Composite-Rigid-Body algorithms with a few modifications to make certain aspects relevant for contact detection and control more easily accessible; furthermore, a compliant contact force method alongside stick-slip friction modeled the contact dynamics. To allow the robot to move, a simple PD-independent joint controller was implemented to track a desired leg trajectory. With the same robot and controller implemented using the MuJoCo simulation software, this work evaluates the proposed simulator by comparing characteristic locomotion signals such as the trunk pose and the ground reaction forces. Results showed similar behavior for both simulators, especially with regard to the contact detection, despite the significantly different contact models. Lastly, final remarks to enhance our simulator’s performance are suggested to be explored in future works.

The symbiosis between microorganisms and host arthropods can cause biological, physiological, and reproductive changes in the host population. The present study aimed to survey facultative symbionts of the genera Wolbachia, Arsenophonus, Cardinium, Rickettsia, and Nosema in Cotesia flavipes (Cameron) (Hymenoptera: Braconidae) and Diatraea saccharalis (Fabricius) (Lepidoptera: Crambidae) in the laboratory and evaluate the influence of infection on the fitness of these hosts. For this purpose, 16S rDNA primers were used to detect these facultative symbionts in the host species, and the hosts' biological and morphological features were evaluated for changes resulting from the infection caused by these microorganisms. The bacterial symbionts studied herein were not detected in the D. saccharalis samples analysed, but the endosymbiont Wolbachia was detected in C. flavipes and altered the biological and morphological aspects of this parasitoid insect. The results of this study may help to elucidate the role of Wolbachia in maintaining the quality of populations/lineages of C. flavipes.

This paper looks at the progress that the Mosaic database has enabled in the study of family structures in continental Europe in the past. Our main argument is that the combination of comprehensive archival research, digitization and computation, data mining, and open-access dissemination that is at the core of the Mosaic project is bringing about an important shift in the fundamental principles that have driven European family history research to date. These transformative features of Mosaic go beyond mere data infrastructural developments, as scaling up to much larger datasets leads to qualitative differences in measurements, methods, and questions. Integrating these perspectives can lead to an important incremental shift in both the scale and the scope of knowledge about historical European family systems.

Moral naturalists are often said to have trouble making sense of inter-communal moral disagreements. The culprit is typically thought to be the naturalist’s metasemantics and its implications for the sameness of meaning across communities. The most familiar incarnation of this metasemantic challenge is the Moral Twin Earth argument. We address the challenge from the perspective of analytic naturalism and argue that making sense of inter-communal moral disagreement creates no special issues for this view.

A narrowly person-affecting (NPA) axiology is an account of the moral ranking of outcomes such that the comparison of any two outcomes depends on the magnitude and weight of individuals’ well-being gains and losses between the two. This article systematically explores NPA axiology. It argues that NPA axiology yields an outcome ranking that satisfies three fundamental axioms: Pareto, Anonymity and, plausibly, Pigou-Dalton. The axiology is neutral to non-well-being considerations (desert); and (assuming well-being measurability) leads to the Repugnant Conclusion (RC). In short, NPA axiology provides a grounding for Paretian, equity-regarding welfarism, albeit one that includes the RC.

In response to the short-term political cycles that govern law-making, there is growing international attention to the obligations owed to future generations. Within the diverse approaches there is often a single, temporally defined inequality; that is, between now and a depleted future. While inequality is imagined between generations, these generations are often constructed as homogenous. This elides not just contemporary inequalities, but that these injustices are caused by historically rooted inequalities that current planetary threats are likely to deepen. In response, we centre health inequalities which illustrate the complex temporalities and structural causes of inequalities. We argue for a focus on eco-social and embodied generations to better understand – and respond to – inequalities past, present and future. We apply this focus to the Capabilities Approach as an example of the work needed to better articulate what is owed to present and future generations to secure justice and inform future-oriented law-making.

Several scholars noted that the pronunciations of 天 “sky” tiān and 風 “wind” fēng in Bai appear to be akin to the western variants of the words attested in the paronomastic gloss dictionary Shìmíng 釋名. I will demonstrate in the current study that there are additional commonalities shared by both Bai and the ancient western dialect, termed Old Western Chinese (OWC) in this study. In both languages, one can identify words with zy- in Middle Chinese (MC) that are pronounced j-. Bai and Old Western Chinese use the same word (椹 shèn) for “fungus”. Furthermore, Old Chinese (OC) cluster *-p/t-s yields -t in both languages in lieu of yielding -j as observed in Middle Chinese. Last but not least, it appears that in both languages, words with *lˤ- (whence MC d-) and -ʔ (whence MC rising tone) are distinct from other words with d- in Middle Chinese. Hence, this paper puts the claim that Bai is akin to Old Western Chinese on a stronger footing. As a side note, judging from the fact that 四 “four” sì contains -t in Old Western Chinese and early Bai, its Old Chinese form most likely ends in *-[t]-s.

The rumen microbiome has attracted tremendous interest among microbiologists and ruminant nutritionists because of its crucial role in mediating feed digestion and fermentation and supplying most of the energy, nutrients, and precursors for producing ruminant products. The application of various omics technologies, including metataxonomics, metagenomics, metatranscriptomics, metaproteomics, and metabolomics, have enabled unprecedented investigations into this ecosystem, shedding new light on its interactions with diet and animals and its relationships with key production traits. Despite the valuable insights these omics technologies provide, each has its unique utility and inherent limitations. Achieving a holistic characterization of the rumen microbiome and deciphering its causal relationship with diet and key animal production traits remain an ongoing endeavor. In this perspective review paper, we highlight the limitations of individual technologies and advocate for an integrated multi-omics approach and data analyses in studying the intricate relationships between diet, rumen microbes, and ruminant nutrition. This approach, termed “rumen microbiome nutriomics,” aims to comprehensively understand the rumen microbiome in the context of diets and animal productivity. Our emphasis lies in recognizing the necessity of integrated analysis across multiple data layers, encompassing data of diet, rumen microbiome features, animal genotypes, and production traits and identifying the causal relationship among them. We also call for collaborative efforts to develop a comprehensive rumen microbiome genome database, including prokaryotes, protozoa, fungi, and viruses. Furthermore, standardization of processes and analyses is crucial to address the variability observed in the literature, facilitating comparison of results among future studies and enabling robust data reanalysis through advanced data analytics.

Research on the relationship between performance and trust is commonplace in social sciences, yet trust in child protection systems (CPS) remains an emerging area of study. This research delves into how three dimensions of performance – distributive justice, procedural fairness, and functional effectiveness – affect trust in CPS in England and Norway, drawing insights from organisational and social psychology literature. A cross-sectional survey collected data from 981 individuals in England and 1,140 in Norway. Results suggest that procedural fairness and the competences indicator of functional effectiveness significantly and positively impact trust in CPS in both countries. Resources significantly influence trust in Norway’s CPS, while distributive justice has no impact on trust in either country’s CPS. These findings hold theoretical and practical implications for trust in CPS.