Generalizable Patterns Research Articles

Species- and subspecies-level characterization of health-associated bacterial consortia that colonize the human gut during infancy

ABSTRACT Background The human gut microbiome develops rapidly during infancy, a key window of development coinciding with the maturation of the adaptive immune system. However, little is known about the microbiome growth dynamics over the first few months of life and whether there are any generalizable patterns across human populations. We performed metagenomic sequencing on stool samples (n = 94) from a cohort of infants (n = 15) at monthly intervals in the first 6 months of life, augmenting our dataset with seven published studies for a total of 4,441 metagenomes from 1,162 infants. Results Strain-level de novo analysis was used to identify 592 of the most abundant organisms in the infant gut microbiome. Previously unrecognized consortia were identified which exhibited highly correlated abundances across samples and were composed of diverse species spanning multiple genera. Analysis of a published cohort of infants with cystic fibrosis identified one such novel consortium of diverse Enterobacterales which was positively correlated with weight gain. While all studies showed an increased community stability during the first year of life, microbial dynamics varied widely in the first few months of life, both by study and by individual. Conclusion By augmenting published metagenomic datasets with data from a newly established cohort, we were able to identify novel groups of organisms that are correlated with measures of robust human development. We hypothesize that the presence of these groups may impact human health in aggregate in ways that individual species may not in isolation.

Profiling Dynamic Patterns of Single-Cell Motility.

Cell motility plays an essential role in many biological processes as cells move and interact within their local microenvironments. Current methods for quantifying cell motility typically involve tracking individual cells over time, but the results are often presented as averaged values across cell populations. While informative, these ensemble approaches have limitations in assessing cellular heterogeneity and identifying generalizable patterns of single-cell behaviors, at baseline and in response to perturbations. In this study, CaMI is introduced, a computational framework designed to leverage the single-cell nature of motility data. CaMI identifies and classifies distinct spatio-temporal behaviors of individual cells, enabling robust classification of single-cell motility patterns in a large dataset (n = 74253 cells). This framework allows quantification of spatial and temporal heterogeneities, determination of single-cell motility behaviors across various biological conditions and provides a visualization scheme for direct interpretation of dynamic cell behaviors. Importantly, CaMI reveals insights that conventional cell motility analyses may overlook, showcasing its utility in uncovering robust biological insights. Together, a multivariate framework is presented to classify emergent patterns of single-cell motility, emphasizing the critical role of cellular heterogeneity in shaping cell behaviors across populations.

Diverse Relationships between Batrachochytrium Infections and Antimicrobial Peptide Defenses Across Leopard Frog Populations.

Antimicrobial peptides (AMPs) play a fundamental role in the innate defense against microbial pathogens, as well as other immune and non-immune functions. Their role in amphibian skin defense against the pathogenic fungus Batrachochytrium dendrobatidis (Bd) is exemplified by experiments in which depletion of host's stored AMPs increases mortality from infection. Yet, the question remains whether there are generalizable patterns of negative or positive correlations between stored AMP defenses and the probability of infection or infection intensity across populations and species. This study aims to expand on prior field studies of AMP quantities and compositions by correlating stored defenses with an estimated risk of Bd exposure (prevalence and mean infection intensity in each survey) in five locations across the United States and a total of three species. In all locations, known AMPs correlated with the ability of recovered secretions to inhibit Bd in vitro. We found that stored AMP defenses were generally unrelated to Bd infection except in one location where the relative intensity of known AMPs was lower in secretions from infected frogs. In all other locations, known AMP relative intensities were higher in infected frogs. Stored peptide quantity was either positively or negatively correlated with Bd exposure risk. Thus, future experiments coupled with organismal modeling can elucidate whether Bd infection affects secretion/synthesis and will provide insight into how to interpret amphibian ecoimmunology studies of AMPs. We also demonstrate that future AMP isolating and sequencing studies can focus efforts by correlating mass spectrometry peaks to inhibitory capacity using linear decomposition modeling.

드라마 등장인물에 대한 개인 평가어 연구: 체계기능언어학의 평가어 이론의 관점

Objectives The purpose of this paper is to analyze Appraisal, one of the theories of discourse meaning analysis in Systemic Functional Linguistics(SFL), in relation to the Appraisal patterns of specific individuals. In SFL, this is called Signature. Methods Therefore, this paper focuses on the Signature of 11 characters in the entire script of episode 1 in <What is Love?>. The specific work was conducted in two stages. First, lexical evaluators (I), which examines the types and frequency of Affect, Judgment, Appreciation, and Graduation; and second, grammatical evaluators (II), which examines the number of sentences, types of Mood, types of addressee deference and Engagement words. Results To summarize the results of the above two steps, (A) Need-dissatisfaction type Sim-ae is overwhelmingly frequent in Affect, Judgement, Appreciation, Graduation, and Engagement. She expresses all kinds of lexical evaluatives in a bold way. (B) Repressed and perverse type Sun-ja uses about half as many evaluatives as Sim-ae, but with very different ups and downs. Affect, which express how she feels, and Graduation, which control the intensity of her speech, are high, but Judgement, which evaluates the actions of others, and Appreciation, which express social respect or social approval of a given situation, are low. (C) Paternalistic and assertive Isa-jang is good at utilizing Judgement and Graduation, and is relatively low in Affect and Appreciation. (D) indecisive Park-isa rarely uses Jedgement. He uses the other evaluative words, Affect, Appreciation, Graduation, moderately frequently and appropriately. (E) Women are more likely than men to use Engagement for both setting(‘case-open’) and settled(‘case-closed’). Conclusions The study of Appraisal has a wide range of applications and is a highly scalable area of research. It is expected that the study of Signature can also find some generalizable patterns of Appraisal system if the analysis target is broader.

Are there generalizable patterns in line extension performance?

PurposeNew product introductions, particularly line extensions (LEs), are common in consumer goods categories. Despite their commonality, the success of LEs are not guaranteed. The purpose of this study is to provide brands that introduce LEs a benchmark about what success to expect.Design/methodology/approachThis study investigates the success of 36,994 LEs in each quarter for the first three years after introduction. Four indicators are calculated using consumer panel data to benchmark how long LEs survive (failure rate), how competitive they are in the category (market share) and how they are adopted by category buyers (penetration and repeat buyer rate).FindingsMost LEs survive after the first year, but many cease to exist or perform well in the long term. Around 50% of LEs fail a year after launch, but this failure rate halves once seasonal LEs are removed. Failure rates start to approach 80% after three years. Most LEs do not perform better than existing products. Around three in four LEs have a market share or penetration near or below the category norm. Although this percentage decreases the longer after launch, most LEs are still below the category norm.Practical implicationsThese new product success benchmarks provide guidelines to practitioners about what success the “typical” LE will achieve. This research can help guide new product investment decisions because it provides context on what is feasible to achieve.Originality/valueFour market success measures are used, a departure from past benchmarking research which uses practitioner evaluation on metrics seldom used in practice. The authors provide guidelines about when and how to measure LE and new product success more broadly.

Timing and direction of faunal exchange between the Nearctic and the Palaearctic in Odonata

AbstractAimSpecies have different distribution patterns across the globe and among biogeographical regions. The Nearctic and Palaearctic regions share lineages because of their parallel biogeographic histories and ecological conditions. As the number of phylogenetic studies increases, there are more insights into past exchange events between these two regions and their effects on the current distribution of diversity. However, several groups have not been tested and an overall generalization is still missing. Here, we analyse the biogeographic history across multiple genera of odonates to elucidate a general process of species exchange, vicariance and species divergence between these two regions.LocationThe Holarctic, including the entire Nearctic and the East and West Palaearctic.Taxon14 genera of Odonata (Insecta).MethodsWe reconstructed a time‐calibrated phylogenetic tree for each genus to determine species relationships and divergence time using 3614 COI sequences of 259 species. Biogeographic ancestral range estimation was inferred for each phylogeny using BioGeoBEARS. Preferred habitat (lotic versus lentic) was established for each species.ResultsExchange events were not restricted in time, direction or either lentic habitat or lotic habitat. Most genera crossed between both regions only once, and it was mainly across the Beringia, while three diverse anisopteran genera revealed multiple exchanges. Recent exchanges during the Pleistocene were associated with cold‐dwelling and lentic species.Main ConclusionsOur finding reveals the absence of a generalizable pattern of species exchange and divergence between the Nearctic and Palaearctic regions; instead, we found lineage‐specific biogeographic patterns. This finding highlights the complexity of drivers and functional traits that shaped current diversity patterns. Moreover, it emphasizes that general conclusions cannot be formulated based on one single clade.

Me31B: a key repressor in germline regulation and beyond.

Maternally Expressed at 31B (Me31B), an evolutionarily conserved ATP-dependent RNA helicase, plays an important role in the development of the germline across diverse animal species. Its cellular functionality has been posited as a translational repressor, participating in various RNA metabolism pathways to intricately regulate the spatiotemporal expression of RNAs. Despite its evident significance, the precise role and mechanistic underpinnings of Me31B remain insufficiently understood. This article endeavors to comprehensively review historic and recent research on Me31B, distill the major findings, discern generalizable patterns in Me31B's functions across different research contexts, and provide insights into its fundamental role and mechanism of action. The primary focus of this article centers on elucidating the role of Drosophila Me31B within the germline, while concurrently delving into pertinent research on its orthologs within other species and cellular systems.

Contextualizing and generalizing drivers and barriers of urban living labs for climate resilience

AbstractUrban Living Labs are open innovation ecosystems that integrate research and innovation activities within urban communities. However, while solutions co‐created and tested in the Urban Living Labs must be contextualized and tailored to each city's uniqueness, broader impact requires generalization and systematic replication across geographical, institutional, and sectoral boundaries. This article examines nine Living Labs in European coastal cities, identifying several barriers and drivers for mainstreaming and upscaling solutions to increase climate resilience through the Living Lab Integrative Process. Our analysis focuses on three main categories. First, social and cultural aspects highlighted include stakeholder engagement and awareness, communication, and dissemination. Second, we assess institutional and political aspects, such as silos, bureaucracy, and resources. Last, we investigate technical factors as knowledge and experience, technical and internal capacity, data availability and accessibility, climate‐related policies and actions, and long‐term perspective. The results suggest that while some barriers and drivers are common across the cases, providing generalizable patterns, there are also specific differences requiring tailored solutions at the local scale. Nonetheless, the diversity in drivers indicates the potential for sharing knowledge across cases to translate, embed, and scale solutions, enhancing the transition toward climate resilience. Learning and innovation in real‐life contexts are fundamental in the Living Lab approach, and our findings demonstrate that cross‐case learning can enhance an iterative process of contextualizing and generalizing innovative climate solutions.

Species-level correlates of land-use responses and climate-change sensitivity in terrestrial vertebrates.

Land-use and climate change are major pressures on terrestrial biodiversity. Species' extinction risk and responses to human pressures relate to ecological traits and other characteristics in some clades. However, large-scale comparative assessments of the associations between traits and responses to multiple human pressures across multiple clades are needed. We investigated whether a set of ecological characteristics that are commonly measured across terrestrial vertebrates (ecological traits and geographic range area) are associated with species' responses to different land-use types and species' likely sensitivity to climate change. We aimed to test whether generalizable patterns in response to these pressures arise across both pressures and across vertebrate clades, which could inform assessments of the global signature of human pressures on vertebrate biodiversity and guide conservation efforts. At the species level, we investigated associations between land-use responses and ecological characteristics with a space-for-time substitution approach, making use of the PREDICTS database. We investigated associations between ecological characteristics and expected climate-change sensitivity, estimated from properties of species realized climatic niches. Among the characteristics we considered, 3 were consistently associated with strong land-use responses and high climate-change sensitivity across terrestrial vertebrate classes: narrow geographic range, narrow habitat breadth, and specialization on natural habitats (which described whether a species occurs in artificial habitats or not). The associations of other traits with species' land-use responses and climate-change sensitivity often depended on species' class and land-use type, highlighting an important degree of context dependency. In all classes, invertebrate eaters and fruit and nectar eaters tended to be negatively affected in disturbed land-use types, whereas invertebrate-eating and plant- and seed-eating birds were estimated to be more sensitive to climate change, raising concerns about the continuation of ecological processes sustained by these species under global changes. Our results highlight a consistently higher sensitivity of narrowly distributed species and habitat specialists to land-use and climate change, which provides support for capturing such characteristics in large-scale vulnerability assessments.

Cumulative trophic curves elucidate tropical coral reef ecosystems

There are few generalizable patterns in ecology, with widespread observations and predictability. One possible generalizable pattern is the cumulative trophic theory, which consistently exhibits S-curves of cumulative biomass over trophic level (TL) for over 200 different marine ecosystems. But whether those cumulative biomass patterns persist in some of the more distinct marine ecosystems, coral reefs, is unclear. Coral reefs are unique among marine ecosystems, representing global biodiversity hotspots and providing crucial ecosystem services. They are subject to many pressures, including both global (e.g., climate and ocean changes, warming, acidification) and local (e.g., overexploitation/overfishing, increase in turbidity, bleaching, habitat destruction, invasive species) stressors. The analysis of emergent ecosystem features, such as cumulative biomass S-curves, could represent a useful and new analytical option that can also be implemented for coral reefs. The cumulative biomass approach was applied to 42 U.S. Pacific islands (Guam and the Commonwealth of Northern Mariana Islands, American Samoa, the Pacific Remote Islands Areas, and the Northwestern and Main Hawaiian Islands), using data collected from fish surveys. Results show that coral reef ecosystems do indeed follow the S-curve patterns expected from cumulative trophic theory, which is not trivial for tropical reef systems that tend to be less widely examined and strongly dominated by structuring organisms like corals. The curve parameters results are also consistent with both fish assemblage diversity indexes and the benthic substrate ratio, which suggests this measure could serve as a useful ecosystem indicator to measure the ecological status of reefs. Moreover, the curve shape was consistent with what one would expect for different levels of perturbation, with the areas more densely inhabited showing less pronounced S-curves, in contrast to those observed in low human population density islands. All this is reflected in the curve parameters, particularly inflection point of the TL and steepness, generally showing a negative response to both natural and anthropogenic disturbances. Cross-archipelago differences have also been detected with the Hawaiian Island chain tending to have lower inflection points for biomass and TL than other regions. Collectively our findings demonstrate the potential application of the cumulative biomass approach to evaluate coral reef ecosystems.

Understanding Shame-Driven Aggression: The Roles of Externalization of Blame and Hostility in Chinese Adolescents.

Shame-proneness, particularly in adolescence, is a critical psychological construct linked to aggressive behavior. This study addresses the gap in understanding the specific mechanisms of this relationship within the cultural context of Chinese adolescents. The study aims to explore the mediating roles of hostility and externalization of blame in the connection between shame-proneness and aggression among Chinese adolescents. A comprehensive sample of 1489 Chinese adolescents participated in the study. They completed the Test of Self-Conscious Affect for Adolescents to assess shame-proneness and an aggression questionnaire to measure aggressive behaviors. The study utilized network analysis and mediational analysis, to unravel the complex interactions between shame-proneness, externalization of blame, hostility, anger, and aggression. The results identified two distinct pathways linking shame-proneness to aggression: one mediated by hostility and the other by externalization of blame. The pathway via hostility was particularly pronounced, marking it as a central node in the shame-aggression relationship. Interestingly, the study also revealed a direct, though less pronounced, inhibitory effect of shame-proneness on aggression, indicating a dualistic role of shame in adolescent behavior. These findings were consistent across different demographic subgroups, suggesting a generalizable pattern in the studied population. The dual nature of shame-proneness, as both an inhibitor and a facilitator of aggression, underscores the need for culturally sensitive approaches in psychological interventions and future research. The central role of hostility in this relationship points to potential targets for therapeutic interventions aimed at mitigating aggression in adolescents.

No evidence for fractal scaling in canopy surfaces across a diverse range of forest types

Abstract Canopy structural complexity is a key emergent property of forest ecosystems that directly relates to their ability to store carbon, cycle water and nutrients, and provide habitat for biodiversity. However, we lack a general framework for quantifying the structural complexity of forest canopies, and it remains to be seen if there are simple rules that explain the huge variation in canopy structure that we observe across the world's forests. A leading candidate for characterizing differences in structural complexity among forest ecosystems are fractal scaling laws, or measures of statistical self‐similarity. If forest canopies were fractal in nature, their structural attributes could be distilled into a single coefficient—their fractal dimension—which could then be used to directly compare structural differences within and across biomes. To test this idea, we used airborne laser scanning (ALS) data acquired across nine landscapes in Australia that span a huge environmental gradient and include everything from dry shrublands, tropical savannas, dense rainforests, to 90 m tall Mountain Ash forests. Using the ALS data, we built high‐resolution 3D canopy height models of each landscape so that we could quantify how closely they followed fractal scaling laws, based on a comprehensive set of fractal dimension estimators. Across all ecosystem types, fractal scaling assumptions were consistently violated, with clear and systematic differences between real‐world forest canopies and simulated fractal surfaces. However, deviations from fractality did vary predictably among sites, with forests in less arid environments, dominated by tall trees with large crowns, exhibiting a higher degree of self‐similarity across scales. Synthesis: Our study conclusively shows that canopy surfaces are not fractal beyond the scale of individual tree crowns. Nevertheless, we still observed ecologically meaningful and generalisable patterns in forest structure across scales, which closely reflect biophysical and physiological constraints on tree size and architecture. These patterns point the way towards a more general framework for characterizing ecological complexity.

Global trends in antimicrobial resistance on organic and conventional farms

The important hypothesis that organic livestock management reduces the prevalence of antimicrobial resistance is either fiercely supported or bitterly contested. Yet, empirical evidence supporting this view remains fragmentary, in part because relationships between antimicrobial use and drug resistance vary dramatically across contexts, hosts, pathogens, and country-specific regulations. Here, we synthesize global policies and definitions of ‘organic’ and ask if organic farming results in notable reductions in the prevalence of antimicrobial resistance when directly examined alongside conventional analogs. We synthesized the results of 72 studies, spanning 22 countries and five pathogens. Our results highlight substantial variations in country-specific policies on drug use and definitions of ‘organic’ that hinder broad-scale and generalizable patterns. Overall, conventional farms had slightly higher levels of antimicrobial resistance (28%) relative to organic counterparts (18%), although we found significant context-dependent variation in this pattern. Notably, environmental samples from organic and conventional farms often exhibited high levels of resistance to medically important drugs, underscoring the need for more stringent and consistent policies to control antimicrobial contaminants in the soil (particularly on organic farms, where the application of conventional manure could faciliate the spread antimicrobial resistance). Taken together, these results emphasize the challenges inherent in understanding links between drug use and drug resistance, the critical need for global standards governing organic policies, and greater investment in viable alternatives for managing disease in livestock.

Environmental correlates of adaptive diversification in postglacial freshwater fishes.

Determining how environmental conditions contribute to divergence among populations and drive speciation is fundamental to resolving mechanisms and understanding outcomes in evolutionary biology. Postglacial freshwater fish species in the Northern Hemisphere are ideal biological systems to explore the effects of environment on diversification in morphology, ecology, and genetics (ecomorph divergences) within lakes. To date, various environmental factors have been implicated in the presence of multiple ecomorphs within particular lakes or regions. However, concerted evidence for generalizable patterns in environmental variables associated with speciation across geographical regions and across species and genera has been lacking. Here, we aimed to identify key biotic and abiotic factors associated with ecological divergence of postglacial freshwater fish species into multiple sympatric ecomorphs, focusing on species in the well-studied, widespread, and co-distributed genera Gasterosteus, Salvelinus, and Coregonus (stickleback, charr, and whitefish, respectively). We found that the presence of multiple sympatric ecomorphs tended to be associated with increasing lake surface area, maximum depth, and nutrient availability. In addition, predation, competition, and prey availability were suggested to play a role in divergence into multiple ecomorphs, but the effects of biotic factors require further study. Although we identified several environmental factors correlated with the presence of multiple ecomorphs, there were substantial data gaps across species and regions. An improved understanding of these systems may provide insight into both generalizable environmental factors involved in speciation in other systems, and potential ecological and evolutionary responses of species complexes when these variables are altered by environmental change.

Exploring transformative processes at the intersections of land, water and livelihoods: a case study from the Tsitsa Project, South Africa

ABSTRACT The Tsitsa River catchment is a complex social-ecological system (cSES) in a rural area of the Eastern Cape Province of South Africa and the site of the Tsitsa Project (TP); a multi-stakeholder, transdisciplinary landscape restoration project aiming to improve sustainable livelihoods and ecological infrastructure. We investigated transformation mechanisms in a framing of multidimensional linkages, including the recognition of differentiated scales and levels. Linkages were analysed through the development of two vignettes: 1) a citizen technician employed to monitor sediment loads in rivers to inform landscape restoration activities (local scale); and 2) a senior government official responsible for (regional scale) operational and on-the-ground restoration initiatives. Vignette data were generated during a workshop, from TP researcher reflexivity, and interviews with the TP Catchment Coordinator and vignette subjects. Data were analysed and presented: i) as a heuristic diagram, ii) through a narrative, and iii) as a matrix table. Each analysis incorporated a different conceptualisation of scale in relation to four social processes related to transformative change: learning, agency, power and structure. Transformation is demonstrated and leverage points and areas of intractability for promoting and constraining future transformation towards social-ecological sustainability, were identified respectively. Further, we suggest that an understanding of transformative processes was enriched and nuanced by combining a triad of complementary analytical exercises. These allowed a focus on unique stories and contexts, but also the identification of generalisable patterns and mechanisms.

Meta-analysis reveals the predictable dynamic development of the gut microbiota in commercial pigs.

Understanding the mechanisms of microbiome assembly during host development is crucial for successful modulation of the gut microbiome to improve host health and growth. However, results from previous microbial intervention studies to improve swine growth have largely been inconsistent due to the constantly changing nature of the gut microbiota and limited longitudinal sampling. Detailed characterization of the swine gut microbiota through meta-analysis allows us to understand the dynamics of microbial community succession, as well as the transient and natural variations between time points and animals. A total of 3,313 fecal microbial communities from over 349 pigs covering 60 time points (from birth to market age) from 14 publications were included in this meta-analysis. Despite differences in animal breeds and management, generalizable patterns of community assembly were identified. Alpha diversity continuously increased during early stages of animal growth and more slowly in the later stages. Beta regression analysis revealed that more microbial taxa were enriched, while fewer were excluded by the gut microbiota. The microbial community structure also changed significantly between days at early ages and became more similar as pigs aged, as revealed by dissimilarity and distance metrics. Dirichlet multinomial mixtures analysis supported gradient microbial clustering in longitudinal pig fecal samples, and we found that the early samples spread to more clusters than those from older pigs. Random forest regression identified 30 operational taxonomic units as potential microbial biomarkers for modeling swine gut microbiota development. External validation showed this model could be generalized to future microbiome studies conducted in suckling and weaning pigs and adds to the toolkit to quantify community succession. IMPORTANCE The swine gut microbiome undergoes an age-dependent assembly pattern with a developmental phase at early ages and a stabilization phase at later ages. Shorter time intervals and a wider range of data sources provided a clearer understanding of the gut microbiota colonization and succession and their associations with pig growth and development. The rapidly changing microbiota of suckling and weaning pigs implies potential time targets for growth and health regulation through gut microbiota manipulation. Since swine gut microbiota development is predictable, swine microbiota age can be calculated and compared between animal treatment groups rather than relying only on static time-matched comparisons.

An experimental test of the Big-Fish-Little-Pond Effect using an immersive virtual reality classroom

Academic self-concept plays a central role in successful learning and is substantially shaped by social comparisons. Research on the so-called Big-Fish-Little-Pond Effect (BFLPE) has yielded a highly robust and generalizable pattern of negative effects of higher class/school average achievement on students’ self-concept when controlling for individual achievement. However, most BFLPE studies have not provided information about the causes behind or the mechanisms underlying the proposed effects. To address this, we used a fully immersive virtual reality (IVR) classroom to experimentally test the extent to which students recognized performance-related classroom behavior as implicit social comparison information and how these perceptions explained differences in students’ self-concepts. Participants (N = 381 sixth-grade students) experienced an authentic yet standardized IVR teaching situation with virtual classmates who exhibited different performance levels (operationalized as 20% vs. 35% vs. 65% vs. 80% of classmates raising their hands). Hand-raising behavior had a significant positive effect on students’ perceptions of the class’ performance level (d20% vs. 65% = 0.60; d20% vs. 80% = 1.24). In line with the BFLPE, results showed a negative effect of higher performing classmates on students’ situational self-concept (d20% vs. 80% = 0.30). Students’ perceptions of the class’ performance level fully explained the effect of classmates’ hand-raising behavior on students’ situational self-concept. The study’s experimental approach provided new insights into the emergence of social comparison effects in the classroom, highlighting the major role of students’ perceptions of their classmates’ performance-related behavior, and moreover demonstrated the general potential of using IVR in classroom research.

Morphological variability or inter-observer bias? A methodological toolkit to improve data quality of multi-researcher datasets for the analysis of morphological variation.

The investigation of morphological variation in animals is widely used in taxonomy, ecology, and evolution. Using large datasets for meta-analyses has dramatically increased, raising concerns about dataset compatibilities and biases introduced by contributions of multiple researchers. We compiled morphological data on 13 variables for 3073 individual mouse lemurs (Cheirogaleidae, Microcebus spp.) from 25 taxa and 153 different sampling locations, measured by 48 different researchers. We introduced and applied a filtering pipeline and quantified improvements in data quality (Shapiro-Francia statistic, skewness, and excess kurtosis). The filtered dataset was then used to test for genus-wide sexual size dimorphism and the applicability of Rensch's, Allen's, and Bergmann's rules. Our pipeline reduced inter-observer bias (i.e., increased normality of data distributions). Inter-observer reliability of measurements was notably variable, highlighting the need to reduce data collection biases. Although subtle, we found a consistent pattern of sexual size dimorphism across Microcebus, with females being the larger (but not heavier) sex. Sexual size dimorphism was isometric, providing no support for Rensch's rule. Variations in tail length but not in ear size were consistent with the predictions of Allen's rule. Body mass and length followed a pattern contrary to predictions of Bergmann's rule. We highlighted the usefulness of large multi-researcher datasets for testing ecological hypotheses after correcting for inter-observer biases. Using genus-wide tests, we outlined generalizable patterns of morphological variability across all mouse lemurs. This new methodological toolkit aims to facilitate future large-scale morphological comparisons for a wide range of taxa and applications.

Variability in infant social responsiveness: Age and situational differences in attention-following

Attention following (AF) is a cornerstone of social cognitive development and a longstanding topic of infancy research. However, there is conflicting evidence regarding the development of AF. One reason for discrepant findings could be that infants’ AF responses do not generalize across settings, and are influenced by situational factors. Theories of AF development based on data collected in laboratory paradigms might skew our understanding of infants' everyday AF. To reveal more generalizable patterns of infant AF development, we compared healthy, North American infants' (N = 48) AF developmental trajectories between a controlled laboratory paradigm and a naturalistic, home-based, parent-directed paradigm. Longitudinal micro-behavioral coding was analyzed to compare individual infants' AF between the two settings every month from 6 to 9 months of age. We aimed to (1) examine longitudinal development of infant AF in two settings; (2) compare AF development between settings, and (3) explore differences in adult cueing behaviors that influence AF. We found that longitudinal trajectories of AF differed between home and lab, with more AF at home in earlier months. Additionally, AF at home was related to maternal cueing variables including bid duration and frequency. These results have implications for the assessment of infants' developing social attention behaviors.

Science Mapping the Research of Business Process Management: Patterns and Implications for Comparable Information Technology Fields

Business ethics, as a content of formal higher education, occupies This paper maps the research and maturity of the Business Process Management (BPM) scientific field by using existing literature reviews and bibliographic methods to formulate generalizable patterns and implications, which could be proposed for comparable, multidisciplinary Information Technology (IT) fields. By applying text mining to the corpus of BPM conference and journal papers, systematically selected from Scopus, generalizable drivers of BPM evolution and maturity are determined, including the proposal of implications for comparable IT fields. Results showed four literature clusters, which relate reasonably well with the BPM lifecycle and PDCA/PDSA cycle concepts. BPM and comparable research fields seem to be driven by the maturing of technological capabilities and organizational acceptance in the sectors in which they are heavily applied. This study comprehensively analyzes BPM journal articles and conference proceedings using bibliometric analysis to provide new research directions.