Capturing the "Whole Tale" of Computational Research: Reproducibility in Computing Environments

We present an overview of the recently funded "Merging Science and Cyberinfrastructure Pathways: The Whole Tale" project (NSF award #1541450). Our approach has two nested goals: 1) deliver an environment that enables researchers to create a complete narrative of the research process including exposure of the data-to-publication lifecycle, and 2) systematically and persistently link research publications to their associated digital scholarly objects such as the data, code, and workflows. To enable this, Whole Tale will create an environment where researchers can collaborate on data, workspaces, and workflows and then publish them for future adoption or modification. Published data and applications will be consumed either directly by users using the Whole Tale environment or can be integrated into existing or future domain Science Gateways

The Market Reaction to Votes of Confidence for Embattled CEOs

Investors rely heavily on a CEO’s ability to execute effective strategy and deliver shareholder value. When companies falter, many investors question whether the blame rests on the firm’s CEO.  This paper examines what happens when boards rally around their besieged CEOs by formally taking a vote of confidence.  We find that there is a significant negative market reaction to the vote event. After the vote, we find that shorting activity rapidly diminishes, stock underperformance slowly dissipates, and profitability underperformance narrows.  These patterns seem to indicate that such votes of confidence were eventually proven correct. Keywords: Vote of Confidence; Market Reaction; Short Interest; Leadershi

Extensive carbon isotopic heterogeneity among methane seep microbiota

To assess and study the heterogeneity of δ^(13)C values for seep microorganisms of the Eel River Basin, we studied two principally different sample sets: sediments from push cores and artificial surfaces colonized over a 14 month in situ incubation. In a single sediment core, the δ^(13)C compositions of methane seep-associated microorganisms were measured and the relative activity of several metabolisms was determined using radiotracers. We observed a large range of archaeal δ^(13)C values (> 50‰) in this microbial community. The δ^(13)C of ANME-1 rods ranged from −24‰ to −87‰. The δ^(13)C of ANME-2 sarcina ranged from −18‰ to −75‰. Initial measurements of shell aggregates were as heavy as −19.5‰ with none observed to be lighter than −57‰. Subsequent measurements on shell aggregates trended lighter reaching values as ^(13)C-depleted as −73‰. The observed isotopic trends found for mixed aggregates were similar to those found for shell aggregates in that the initial measurements were often enriched and the subsequent analyses were more ^(13)C-depleted (with values as light as −56‰). The isotopic heterogeneity and trends observed within taxonomic groups suggest that ANME-1 and ANME-2 sarcina are capable of both methanogenesis and methanotrophy. In situ microbial growth was investigated by incubating a series of slides and silicon (Si) wafers for 14 months in seep sediment. The experiment showed ubiquitous growth of bacterial filaments (mean δ^(13)C = −38 ± 3‰), suggesting that this bacterial morphotype was capable of rapid colonization and growth

Patterns of ^(15)N assimilation and growth of methanotrophic ANME-2 archaea and sulfate-reducing bacteria within structured syntrophic consortia revealed by FISH-SIMS

Methane release from the oceans is controlled in large part by syntrophic interactions between anaerobic methanotrophic archaea (ANME) and sulfate-reducing bacteria (DSS), frequently found as organized consortia. An understanding of the specifics of this symbiotic relationship and the metabolic heterogeneity existing between and within individual methane-oxidizing aggregates is currently lacking. Here, we use the microanalytical method FISH-SIMS (fluorescence in situ hybridization-secondary ion mass spectrometry) to describe the physiological traits and anabolic activity of individual methanotrophic consortia, specifically tracking ^(15)N-labelled protein synthesis to examine the effects of organization and size on the metabolic activity of the syntrophic partners. Patterns of 15N distribution within individual aggregates showed enhanced ^(15)N assimilation in ANME-2 cells relative to the co-associated DSS revealing a decoupling in anabolic activity between the partners. Protein synthesis in ANME-2 cells was sustained throughout the core of individual ANME-2/DSS consortia ranging in size range from 4 to 20 μm. This indicates that metabolic activity of the methane-oxidizing archaea is not limited to, or noticeably enhanced at the ANME−2/DSS boundary. Overall, the metabolic activity of both syntrophic partners within consortia was greater than activity measured in representatives of the ANME-2 and DSS observed alone, with smaller ANME-2/DSS aggregates displaying a tendency for greater ^(15)N uptake and doubling times ranging from 3 to 5 months. The combination of ^(15)N-labelling and FISH-SIMS provides an important perspective on the extent of heterogeneity within methanotrophic aggregates and may aid in constraining predictive models of activity and growth by these syntrophic consortia

Computing environments for reproducibility: Capturing the 'Whole Tale'

The act of sharing scientific knowledge is rapidly evolving away from traditional articles and presentations to the delivery of executable objects that integrate the data and computational details (e.g., scripts and workflows) upon which the findings rely. This envisioned coupling of data and process is essential to advancing science but faces technical and institutional barriers. The Whole Tale project aims to address these barriers by connecting computational, data-intensive research efforts with the larger research process—transforming the knowledge discovery and dissemination process into one where data products are united with research articles to create “living publications” or tales. The Whole Tale focuses on the full spectrum of science, empowering users in the long tail of science, and power users with demands for access to big data and compute resources. We report here on the design, architecture, and implementation of the Whole Tale environment

Acceptance and commitment therapy for fatigue interference in advanced gastrointestinal cancer and caregiver burden: protocol of a pilot randomized controlled trial

Background: Fatigue interference with activities, mood, and cognition is one of the most prevalent and bothersome concerns of advanced gastrointestinal (GI) cancer patients. As fatigue interferes with patient functioning, family caregivers often report feeling burdened by increasing responsibilities. Evidence-based interventions jointly addressing cancer patient fatigue interference and caregiver burden are lacking. In pilot studies, acceptance and commitment therapy (ACT) has shown promise for addressing symptom-related suffering in cancer patients. The current pilot trial seeks to test a novel, dyadic ACT intervention for both advanced GI cancer patients with moderate-to-severe fatigue interference and their family caregivers with significant caregiving burden or distress. Methods: A minimum of 40 patient-caregiver dyads will be randomly assigned to either the ACT intervention or an education/support control condition. Dyads in both conditions attend six weekly 50-min telephone sessions. Outcomes are assessed at baseline as well as 2 weeks and 3 months post-intervention. We will evaluate the feasibility, acceptability, and preliminary efficacy of ACT for improving patient fatigue interference and caregiver burden. Secondary outcomes include patient sleep interference and patient and caregiver engagement in daily activities, psychological flexibility, and quality of life. We will also explore the effects of ACT on patient and caregiver physical and mental health service use. Discussion: Findings will inform a large-scale trial of intervention efficacy. Results will also lay the groundwork for further novel applications of ACT to symptom interference with functioning and caregiver burden in advanced cancer

COVIDiSTRESS Global Survey dataset on psychological and behavioural consequences of the COVID-19 outbreak

This N = 173,426 social science dataset was collected through the collaborative COVIDiSTRESS Global Survey - an open science effort to improve understanding of the human experiences of the 2020 COVID-19 pandemic between 30th March and 30th May, 2020. The dataset allows a cross-cultural study of psychological and behavioural responses to the Coronavirus pandemic and associated government measures like cancellation of public functions and stay at home orders implemented in many countries. The dataset contains demographic background variables as well as measures of Asian Disease Problem, perceived stress (PSS-10), availability of social provisions (SPS-10), trust in various authorities, trust in governmental measures to contain the virus (OECD trust), personality traits (BFF-15), information behaviours, agreement with the level of government intervention, and compliance with preventive measures, along with a rich pool of exploratory variables and written experiences. A global consortium from 39 countries and regions worked together to build and translate a survey with variables of shared interests, and recruited participants in 47 languages and dialects. Raw plus cleaned data and dynamic visualizations are available.Measurement(s) psychological measurement center dot anxiety-related behavior trait center dot Stress center dot response to center dot Isolation center dot loneliness measurement center dot Emotional Distress Technology Type(s) Survey Factor Type(s) geographic location center dot language center dot age of participant center dot responses to the Coronavirus pandemic Sample Characteristic - Organism Homo sapiens Sample Characteristic - Location global Machine-accessible metadata file describing the reported data:Peer reviewe