A guide for many authors:Writing manuscripts in large collaborations

Writing manuscripts collaboratively affords both opportunities and challenges: Collaborative papers can benefit from the expertise, perspectives, and collective effort of the group but can lack coherence or be produced inefficiently. When collaborations are large, involving tens or hundreds of researchers, there are more and different opportunities and challenges, like appropriately crediting the contributions of many people. This paper is a practical guide for authors writing collaborative manuscripts, particularly those working in large collaborations. We emphasize the importance of deliberate leadership and describe five general strategies that lead authors can employ to maximize opportunities and navigate challenges: care in recruiting the author team, care in crediting the author team, clear and frequent communication, organized materials, and deliberate and early decision-making. For each, we offer specific tips in line with these strategies (e.g., use collaboration agreements, leverage Open Science practices). We then suggest how lead authors can structure the writing and revising process to produce a coherent manuscript and offer tips for submitting papers and responding to peer-reviews. A repository of resources for people writing manuscripts in collaborations is available at osf.io/dzwcn

Personality States of the Union

11 pagesFluctuations in the average daily personality of the United States capture both meaningful affective responses to world events (e.g., changes in anxiety or well-being) and broader psychological responses. We estimate the change in national personality in the months following the onset of the COVID-19 pandemic and investigate fluctuations in personality states during the year 2020 using data from an ongoing personality assessment project. We find significant and meaningful change in personality traits since the beginning of the pandemic, as well as evidence of instability in personality states. When evaluating changes from the first few months of 2020 to the period of social distancing related to COVID-19 restrictions, the social traits reflected an unexpected “deprivation” effect such that mean self-ratings increased in the wake of restricted opportunities for social interaction. Changes in mean levels of the affective traits were not significant over the same months, but they did differ significantly from the average levels of prior years when looking at shorter time intervals (rolling 7-day averages) around prominent national events. This instability may reflect meaningful fluctuations in national personality, as we find that daily personality states are associated with other indices of national health, including daily COVID-19 cases and the S&P index. Overall, the use of personality measures to capture responses to global events offers a more holistic picture of the U.S. psyche and of personality change at the national level

Running head: COLLECTING LIFE NARRATIVE DATACapturing the stories of our lives: Examining the collection of life narrative data

40 pages.Objective: Do different methods for collecting life narratives – the integrated, autobiographical construction of the past and imagined future – produce similar lexical features and relationships to personality traits? The present study compares accounts from an in-person and online sample on measures of word categories, narrative themes and their relationships with Big Five traits. Method: The first sample (N = 157, mean age = 53.7, 64% female, 55% White, and 43% Black) consisted of narratives gathered in-person and the second (N = 256, mean age = 30.6, 61% female, 70% White, 30% non-White) contained type-written responses to the same prompts from an independent online sample. Participants’ responses to the narrative prompts were coded for thematic redemption and contamination. Results: Tests revealed significant differences between samples in 25 of 63 LIWC word categories. Online participants’ narratives also had higher odds of thematic redemption (but not contamination) above and beyond word count, type of narrative scene, participant demographics, and Big Five traits. Lastly, comparisons revealed no significant differences across the samples’ relationships between personality traits and narrative themes. Conclusion: This research supports conditional assimilation of correlational findings from different narrative methodologies and proposes methodological considerations for future research involving life narratives.The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: Preparation of this manuscript was supported by a grant to Dan P. McAdams from the Foley Family Foundation to establish the Foley Center for the Study of Lives at Northwestern Universit

Personality Trait Descriptors: 2,818 Trait Descriptive Adjectives Characterized by Familiarity, Frequency of Use, and Prior Use in Psycholexical Research

9 pagesThis dataset contains 2,818 trait descriptive adjectives in English and information about the extent to which each term is known among a large and approximately representative sample of U.S. adults. The list of personality-related terms includes all 1,710 adjectives previously studied by Goldberg (1982) and draws on prior work by Allport and Odbert (1936) and Norman (1967). The extent to which terms were known by respondents was based on the administration of vocabulary questions about each term-definition pair online to a sample of English-speaking U.S. residents with approximately average literacy levels. The open data are accompanied by an online database that allows the terms to be searched and filtered.As an extension of prior work on the lexical structure of personality descriptors, it is important to acknowledge that this resource builds on the substantial contributions of Gordon Allport, Henry Odbert, Warren Norman, Lew Goldberg, and the unnamed colleagues who assisted them. Citations to their work should be included, as appropriate, when these data are used. In addition, we gratefully acknowledge the guidance and feedback provided by Gerard Saucier, especially during the aggregation of term

Root Bacterial Endophytes Alter Plant Phenotype, but not Physiology

Plant traits, such as root and leaf area, influence how plants interact with their environment and the diverse microbiota living within plants can influence plant morphology and physiology. Here, we explored how three bacterial strains isolated from the Populus root microbiome, influenced plant phenotype. We chose three bacterial strains that differed in predicted metabolic capabilities, plant hormone production and metabolism, and secondary metabolite synthesis. We inoculated each bacterial strain on a single genotype of Populus trichocarpa and measured the response of plant growth related traits (root:shoot, biomass production, root and leaf growth rates) and physiological traits (chlorophyll content, net photosynthesis, net photosynthesis at saturating light–Asat, and saturating CO2–Amax). Overall, we found that bacterial root endophyte infection increased root growth rate up to 184% and leaf growth rate up to 137% relative to non-inoculated control plants, evidence that plants respond to bacteria by modifying morphology. However, endophyte inoculation had no influence on total plant biomass and photosynthetic traits (net photosynthesis, chlorophyll content). In sum, bacterial inoculation did not significantly increase plant carbon fixation and biomass, but their presence altered where and how carbon was being allocated in the plant host

Selecting the Number and Labels of Topics in Topic Modeling: A Tutorial

13 pagesTopic modeling is a type of text analysis that identifies clusters of co-occurring words, or latent topics. A challenging step of topic modeling is determining the number of topics to extract. This tutorial describes tools researchers can use to identify the number and labels of topics in topic modeling. First, we outline the procedure for narrowing down a large range of models to a select number of candidate models. This procedure involves comparing the large set on fit metrics, including exclusivity, residuals, variational lower bound, and semantic coherence. Next, we describe the comparison of a small number of models using project goals as a guide and information about topic representative and solution congruence. Finally, we describe tools for labeling topics, including frequent and exclusive words, key examples, and correlations among topics

Root bacterial endophytes alter plant phenotype, but not physiology

Plant traits, such as root and leaf area, influence how plants interact with their environment and the diverse microbiota living within plants can influence plant morphology and physiology. Here, we explored how three bacterial strains isolated from the Populus root microbiome, influenced plant phenotype. We chose three bacterial strains that differed in predicted metabolic capabilities, plant hormone production and metabolism, and secondary metabolite synthesis. We inoculated each bacterial strain on a single genotype of Populus trichocarpa and measured the response of plant growth related traits (root:shoot, biomass production, root and leaf growth rates) and physiological traits (chlorophyll content, net photosynthesis, net photosynthesis at saturating light–Asat, and saturating CO2–Amax). Overall, we found that bacterial root endophyte infection increased root growth rate up to 184% and leaf growth rate up to 137% relative to non-inoculated control plants, evidence that plants respond to bacteria by modifying morphology. However, endophyte inoculation had no influence on total plant biomass and photosynthetic traits (net photosynthesis, chlorophyll content). In sum, bacterial inoculation did not significantly increase plant carbon fixation and biomass, but their presence altered where and how carbon was being allocated in the plant host

Context-Dependent Medicinal Effects of Anabasine and Infection-Dependent Toxicity in Bumble Bees

Background Floral phytochemicals are ubiquitous in nature, and can function both as antimicrobials and as insecticides. Although many phytochemicals act as toxins and deterrents to consumers, the same chemicals may counteract disease and be preferred by infected individuals. The roles of nectar and pollen phytochemicals in pollinator ecology and conservation are complex, with evidence for both toxicity and medicinal effects against parasites. However, it remains unclear how consistent the effects of phytochemicals are across different parasite lineages and environmental conditions, and whether pollinators actively self-medicate with these compounds when infected. Approach Here, we test effects of the nectar alkaloid anabasine, found in Nicotiana, on infection intensity, dietary preference, and survival and performance of bumble bees (Bombus impatiens). We examined variation in the effects of anabasine on infection with different lineages of the intestinal parasite Crithidia under pollen-fed and pollen-starved conditions. Results We found that anabasine did not reduce infection intensity in individual bees infected with any of four Crithidia lineages that were tested in parallel, nor did anabasine reduce infection intensity in microcolonies of queenless workers. In addition, neither anabasine nor its isomer, nicotine, was preferred by infected bees in choice experiments, and infected bees consumed less anabasine than did uninfected bees under no-choice conditions. Furthermore, anabasine exacerbated the negative effects of infection on bee survival and microcolony performance. Anabasine reduced infection in only one experiment, in which bees were deprived of pollen and post-pupal contact with nestmates. In this experiment, anabasine had antiparasitic effects in bees from only two of four colonies, and infected bees exhibited reduced—rather than increased—phytochemical consumption relative to uninfected bees. Conclusions Variation in the effect of anabasine on infection suggests potential modulation of tritrophic interactions by both host genotype and environmental variables. Overall, our results demonstrate that Bombus impatiens prefer diets without nicotine and anabasine, and suggest that the medicinal effects and toxicity of anabasine may be context dependent. Future research should identify the specific environmental and genotypic factors that determine whether nectar phytochemicals have medicinal or deleterious effects on pollinators

The effects of psilocybin on cognitive and emotional functions in healthy participants : Results from a phase 1, randomised, placebo-controlled trial involving simultaneous psilocybin administration and preparation

Background: Psilocybin, a psychoactive serotonin receptor partial agonist, has been reported to acutely reduce clinical symptoms of depressive disorders. Psilocybin's effects on cognitive function have not been widely or systematically studied. Aim: The aim of this study was to explore the safety of simultaneous administration of psilocybin to healthy participants in the largest randomised controlled trial of psilocybin to date. Primary and secondary endpoints assessed the short- and longer-term change in cognitive functioning, as assessed by a Cambridge Neuropsychological Test Automated Battery (CANTAB) Panel, and emotional processing scales. Safety was assessed via endpoints which included cognitive function, assessed by CANTAB global composite score, and treatment-emergent adverse event (TEAE) monitoring. Methods: In this phase 1, randomised, double-blind, placebo-controlled study, healthy participants (n=89; mean age 36.1 years; 41 females, 48 males) were randomised to receive a single oral dose of 10 or 25 mg psilocybin, or placebo, administered simultaneously to up to six participants, with one-to-one psychological support - each participant having an assigned, dedicated therapist available throughout the session. Results: In total, 511 TEAEs were reported, with a median duration of 1.0 day; 67% of all TEAEs started and resolved on the day of administration. There were no serious TEAEs, and none led to study withdrawal. There were no clinically relevant between-group differences in CANTAB global composite score, CANTAB cognitive domain scores, or emotional processing scale scores. Conclusions: These results indicate that 10 mg and 25 mg doses of psilocybin were generally well tolerated when given to up to six participants simultaneously and did not have any detrimental short- or long-term effects on cognitive functioning or emotional processing.Peer reviewe

Evaluation of an online Diabetes Needs Assessment Tool (DNAT) for health professionals: a randomised controlled trial

Background: Continuous medical education is traditionally reliant to a large extent on self-directed learning based on individuals' perceived learning priorities. Evidence suggests that this ability to self-assess is limited, and more so in the least competent. Therefore, it may be of benefit to utilise some form of external assessment for this purpose. Many diabetes educational programmes have been introduced, but few have been assessed for their benefit in a systematic manner. As diabetes is an increasingly prevalent disease, methods for the dissemination and understanding of clinical guidelines need to be explored for their effectiveness. This paper describes the study design of a randomised controlled trial to evaluate the effectiveness of using an interactive online Diabetes Needs Assessment Tool (DNAT), that builds a learning curriculum based on identified knowledge gaps, compared with conventional self-directed learning. The study assesses the effect of these interventions on health professionals' knowledge of diabetes management, evaluates the acceptability of this process of learning and self-reported changes in clinical practice as a result of this novel educational process. Methods: Following a baseline assessment, participants will be randomised to undergo a 4-month learning period where they will either be given access to the diabetes learning modules alone (control group) or a Diabetes Needs Assessment Tool (DNAT) plus the diabetes learning modules (intervention group). On completion of the DNAT, a personalised learning report will be created for each participant identifying needs alongside individualised recommendations of the most appropriate learning modules to meet those requirements. All participants will complete a Diabetes Knowledge Test before and immediately after the allocated learning and the primary outcome will be the state of knowledge at 4 months. Learners will also be surveyed immediately after the learning period to assess the acceptability of the learning formats and the perceived usefulness and usability of the materials. After a further month, all learners will receive a series of questions to evaluate self-reported changes in clinical practice as a result of this educational experience and asked to include specific examples of any changes in their diabetes care practice