bluuebunny/crossref_metadata_2025_split huggingface dataset:
A remarkably specific ligand reveals ghrelinO-acyltransferase interacts with extracellular peptides and exhibits unexpected cellular localization for a secretory pathway enzyme
Authors: Campaña Maria B. , Davis Tasha R. , Cleverdon Elizabeth R. , Bates Michael , Krishnan Nikhila , Curtis Erin R. , Childs Marina D. , Pierce Mariah R. , Novak Sadie X. , Morales-Rodriguez Yasandra , Sieburg Michelle A. , Hehnly Heidi , Luyt Leonard G. , Hougland James L. 
Published: June 2021

AbstractGhrelinO-acyltransferase (GOAT) plays a central role in the maturation and activation of the peptide hormone ghrelin, which performs a wide range of endocrinological signaling roles. Using a tight-binding fluorescent ghrelin-derived peptide designed for high selectivity for GOAT over the ghrelin receptor GHS-R1a, we demonstrate that GOAT interacts with extracellular ghrelin and facilitates ligand cell internalization in both transfected cells and prostate cancer cells endogenously expressing GOAT. Coupled with enzyme mutagenesis, ligand uptake studies provide the first direct evidence supporting interaction of the putative histidine general base within GOAT with the ghrelin peptide acylation site. Our work provides a new understanding of GOAT’s catalytic mechanism, establishes a key step required for autocrine/paracrine ghrelin signaling involving local reacylation by GOAT, and raises the possibility that other peptide hormones may exhibit similar complexity in their intercellular and organismal-level signaling pathways.
Transcriptomic changes highly similar to Alzheimer’s disease are observed in a subpopulation of individuals during normal brain aging
Authors: Peng Shouneng , Zeng Lu , Haure-mirande Jean-vianney , Wang Minghui , Huffman Derek M. , Haroutunian Vahram , Ehrlich Michelle E. , Zhang Bin , Tu Zhidong 
Published: June 2021

AbstractAging is a major risk factor for late-onset Alzheimer’s disease (LOAD). How aging contributes to the development of LOAD remains elusive. In this study, we examined multiple large-scale transcriptomic data from both normal aging and LOAD brains to understand the molecular interconnection between aging and LOAD. We found that shared gene expression changes between aging and LOAD are mostly seen in the hippocampal and several cortical regions. In the hippocampus, the expression of phosphoprotein, alternative splicing and cytoskeleton genes are commonly changed in both aging and AD, while synapse, ion transport, and synaptic vesicle genes are commonly down-regulated. Aging-specific changes are associated with acetylation and methylation, while LOAD-specific changes are more related to glycoprotein (both up- and down-regulations), inflammatory response (up-regulation), myelin sheath and lipoprotein (down-regulation). We also found that normal aging brain transcriptomes from relatively young donors (45-70 years old) clustered into several subgroups and some subgroups showed gene expression changes highly similar to those seen in LOAD brains. Using brain transcriptomic data from another cohort of older individuals (> 70 years), we found that samples from cognitively normal older individuals clustered with the “healthy aging” subgroup while AD samples mainly clustered with the “AD similar” subgroups. This may imply that individuals in the healthy aging subgroup will likely remain cognitively normal when they become older and vice versa. In summary, our results suggest that on the transcriptome level, aging and LOAD have strong interconnections in some brain regions in a subpopulation of cognitively normal aging individuals. This supports the theory that the initiation of LOAD occurs decades earlier than the manifestation of clinical phenotype and it may be essential to closely study the “normal brain aging” to identify the very early molecular events that may lead to LOAD development.
Estimation of the probability of epidemic fade-out from multiple outbreak data
Authors: Alahakoon Punya , McCaw James M. , Taylor Peter G. 
Published: June 2021

AbstractDeterministic epidemic models, such as the SIRS model or an SIR model with demography, that allow for replenishment of susceptibles typically display damped oscillatory behaviour. If the population is initially fully susceptible, once an epidemic takes off a distinct trough will exist between the first and second waves of infection where the number of infectious individuals falls to a low level. Epidemic dynamics are, however, influenced by stochastic effects, particularly when the number of infectives is low. At the beginning of an epidemic, stochastic die-out is possible and well characterised through use of a branching process approximation to the full non-linear stochastic dynamics. Conditional on an epidemic taking off, stochastic extinction is highly unlikely during the first epidemic wave, but the probability of extinction increases again as the wave declines. Extinction during this period, prior to a potential second wave of infection, is defined as ‘epidemic fade-out’. We consider a set of observed epidemics, each distinct and having evolved independently, in which some display fade-out and some do not. While fade-out is necessarily a stochastic phenomenon, in general the probability of fade-out will depend on the model parameters associated with each epidemic. Accordingly, we ask whether time-series data for the epidemics contain sufficient information to identify the key driver(s) of different outcomes—fade-out or otherwise—across the sub-populations supporting each epidemic. We apply a Bayesian hierarchical modelling framework to synthetic data from an SIRS model of epidemic dynamics and demonstrate that we can 1) identify when the sub-population specific model parameters supporting each epidemic have significant variability and 2) estimate the probability of epidemic fade-out for each sub-population. We demonstrate that a hierarchical analysis can provide more accurate and precise estimates of the probability of fade-out than is possible if considering each epidemic in isolation. Our methods may be applied more generally, to both epidemiological and other biological data to identify where differences in outcome—fade-out or recurrent infection/waves are purely due to chance or driven by underlying changes in the parameters driving the dynamics.
Extremely bright, near-IR emitting spontaneously blinking fluorophores enable ratiometric multicolor nanoscopy in live cells
Authors: Tyson Jonathan , Hu Kevin , Zheng Shuai , Kidd Phylicia , Dadina Neville , Chu Ling , Toomre Derek , Bewersdorf Joerg , Schepartz Alanna 
Published: June 2021

AbstractNew bright, photostable, emission-orthogonal fluorophores that blink without toxic additives are needed to enable multi-color, live-cell, single-molecule localization microscopy (SMLM), especially for experiments that demand ultra-high-resolution live imaging. Here we report the design, synthesis, and biological evaluation of Yale676sb, a photostable, near-IR emitting fluorophore that achieves these goals in the context of an exceptional quantum yield (0.59). When used alongside HMSiR, Yale676sb enables simultaneous, live-cell, two-color SMLM of two intracellular organelles (ER + mitochondria) with only a single laser and no chemical additives.
The pre-history of sustainability reporting: a constructivist reading
Authors: Larrinaga Carlos , Bebbington Jan 
Published: June 2021

PurposeThe aim of this paper is to provide an account of the period prior to the creation of the Global Reporting Initiative (GRI): a body that was critical to the institutionalization of sustainability reporting (SR). By examining this “pre-history,” we bring to light the actors, activities and ways of thinking that made SR more likely to be institutionalized once the GRI entrepreneurship came to the fore.Design/methodology/approachThe paper revisits a time period (the 1990s) that has yet to be formally written about in any depth and traces the early development of what became SR. This material is examined using a constructivist understanding of regulation.FindingsThe authors contend that a convergence of actors and structural conditions were pivotal to the development of SR. Specifically, this paper demonstrates that a combination of actors (such as epistemic communities, carriers, regulators and reporters) as well as the presence of certain conditions (such as the societal context, analogies with financial reporting, environmental reporting and reporting design issues) contributed to the development of SR which was consolidated (as well as extended) in 1999 with the advent of the GRI.Research limitations/implicationsThis paper theorizes (through a historical analysis) how SR is sustained by a network of institutional actors and conditions which can assist reflection on future SR development.Originality/valueThis paper brings together empirical material from a time that (sadly) is passing from living memory. The paper also extends the use of a conceptual frame that is starting to influence scholarship in accounting that seeks to understand how norms develop.
Managerial support, work–family conflict and employee outcomes: an Australian study
Authors: Tran Phuong Anh , Mansoor Sadia , Ali Muhammad 
Published: June 2021

PurposeDerived from leader–member exchange theory, this study hypothesises the relationships between work–family related managerial support and affective commitment and job satisfaction, and advocates that these relationships are mediated by work–family conflict.Design/methodology/approachThe model was tested in an Australian manufacturing organisation using survey data from employees, using structural equation modelling in Analysis of Moment Structures (AMOS).FindingsThe findings suggest that enhanced work–family related managerial support will decrease work–family conflict, eventually enhancing employees' affective commitment and job satisfaction.Originality/valueThis study provides important insights into the impact of managerial support on improvements in employees' work–family conflict, and, in turn, its impact on affective commitment and job satisfaction, in the Australian context.
A novel mechanism for business analytics value creation: improvement of knowledge-intensive business processes
Authors: Marjanovic Olivera 
Published: June 2021

Purpose
This paper focuses on the “how” of business analytics (BA) value creation, which remains an open research problem and a practical challenge. The main purpose of this paper is to propose a novel BA value creation mechanism that is BA-enabled improvement of Knowledge-intensive Business Processes (KIBPs), with experiential knowledge of decision makers as the key to a more sustainable BA-enabled competitive differentiation.

Design/methodology/approach
This research uses a qualitative research case study, conducted in a large retail distribution company. The research insights were observed through a combined lens of work systems theory and the knowledge-based view (KBV) of the firm, using an interpretive approach.

Findings
The proposed theoretical model identifies three stages of KIBP improvement through BA and explains how they lead to a sustainable BA-enabled competitive differentiation. Stage 1 focusses on BA support for individual knowledge-intensive tasks, Stage 2 focusses on individual decision makers and their ability to gain KIBP-related analytical insights and turn them into action; and Stage 3 on sharing of the acquired experiential knowledge amongst decision makers using BA.

Originality/value
In addition to proposing a novel mechanism for BA value creation, this research demonstrates the importance of leveraging experiential knowledge of decision makers as a pathway to a more sustainable competitive differentiation through BA. This, in turn, creates new opportunities for knowledge management researchers to engage in BA-related research. It also opens a new approach for BA researchers to investigate BA value creation mechanisms through the lens of KBV, rather than more common resource-based or capability-based views.
Identity reflexivity: a framework of heuristics for strategy change in hybrid organizations
Authors: Greco Angela , Long Thomas , de Jong Gjalt 
Published: June 2021

PurposeThe aim of this research is to investigate the relationship between (dual) organizational identity and individual heuristics – simple rules and biases – in the process of strategy change. This paper offers a theory on identity reflexivity as a cognitive mechanism of strategy change in the context of organizational hybridity.Design/methodology/approachThe authors draw on a 2-year ethnographic study at a Dutch social housing association dealing with the process of strategy change. The empirical data comprises of in-depth semi-structured interviews, ethnographic observations as well as secondary sources.FindingsConflicting identities at the organizational level influence heuristics at the individual level, since members tend to identify with their department's identity. Despite conflicting interpretations, paths of cognitive shortcuts – that the authors define as internal and external identity reflexivity – are shared by the conflicting identities.Research limitations/implicationsThe findings of this research are subject to limitations typical of a qualitative case-study, such as possibly being context dependent. The authors argue that this research contributes to the understanding of how individual heuristics relate to organizational heuristics, and suggest that the process of identity reflexivity can contribute to the alignment of conflicting identities enabling strategy formation in the context of a dual-identity organization.Practical implicationsUnderstanding how managers with conflicting identities achieve agreements is important to help organizational leaders to pursue sustainability-oriented strategy change.Social implicationsGiven the pressure experienced by mission-driven organizations to integrate multiple sustainability demands in their mission, understanding managers' decision-making mechanism when adapting to new, often conflicting, sustainability demands is important to accelerate societal sustainability transitions.Originality/valueThis paper addresses the process of new strategy design in the context of a socially driven business. This context fundamentally differs from the one addressed by the existing heuristics literature with respect to organizational environment and role, and specific competing demands.
Towards more balanced sourcing strategies – are supply chain risks caused by the COVID-19 pandemic driving reshoring considerations?
Authors: van Hoek Remko , Dobrzykowski David 
Published: June 2021

Purpose
Reshoring is one of the supply chain risk management techniques suggested in literature. However, literature suggests that the decision-making involved in reshoring is complex and not fully understood. In the context of the COVID-19 pandemic, reshoring may represent a way to reduce reliance on global sources and improve resilience of their supply chains. This paper aims to explore if the pandemic is driving reshoring decisions and if the pandemic will actually lead to companies reshoring parts of their supply chain.

Design/methodology/approach
This paper critically engages with senior(-most) supply chain managers from three manufacturing companies as they proceed through reshoring decision-making. This enables to develop experiential knowledge about reshoring decision-making processes and their context, as well as insights into the relevance of existing knowledge about reshoring. While not a full multiple case study, the opportunity to engage directly with senior(-most) supply chain managers as they consider reshoring, enables near real-time learning. Not only is reshoring a very timely topic literature has also called for more event-based empirical research. Further to that, it is hoped that this can complement this special issue and support, in a timely manner, the many researchers that are actively studying the impact of the pandemic on supply chains.

Findings
Reshoring was being actively considered by all three companies during the research process in Q3 and Q4 of 2020. During this period the pandemic has not yet led to substantial implementation of reshoring, at least by the companies studied in this paper. In response to tariffs on Chinese imports, companies had been diversifying their supply base away from China, but doing so by developing alternative, global sources. Additionally, companies are using alternative risk management techniques, such as supplier collaboration, in the short to medium term. Reshoring decision-making is indeed found to be complex and requires a longer-term time horizon for decision-making and implementation. Logistical challenges and growth in demand do drive a willingness of consumers to pay a premium for locally sourced products. However, when supply normalizes these considerations might lose relevance well before reshoring decision-making and implementation can be completed.

Originality/value
This paper studies reshoring in a real-world setting, learning directly from insights from industry as they emerge. This paper develops four extensions to existing knowledge, develop these in frameworks and hope that this will support ongoing consideration in industry and support the many researchers that are active in this domain today. This paper also suggests several directions for further research.
Gender identities and corporate social responsibility practices: a biographical approach of managerial recompositions in SMEs context
Authors: Etogo Gabriel , Manga Engama Etgard , Nomo Théophile Serge 
Published: June 2021

Purpose
The purpose of this paper is to question gender identities as the basis for a differentialist conception of how to conceive and practice corporate social responsibility (CSR).

Design/methodology/approach
This study has used a qualitative approach to study five paths of small and medium-sized entreprises (SMEs) female entrepreneurs. This study selected female entrepreneurs who can bring us rich material, which highlights the relationship between the concepts of gender identity and CSR practices. In this perspective, this study has retained five “revealing” cases.

Findings
By establishing a break with the ontological experience that contributes to the application of CSR practices as a natural expression of behaviour, this study shows how social relations of sex reproduce but also how social relations are subverted with respect to the requirements relating to CSR practices.

Originality/value
The main originality of this approach consisted in adopting the concept of “gender inversion”, characteristic of “gender mobility”, to identify the potential and/or effective observable recompositions in the field of managerial behaviours.
Seed beetles as a modern model system of interspecific competition
Authors: Kyogoku Daisuke 
Published: June 2021

AbstractWhen and how multiple species can or cannot coexist is a fundamental question in ecology. Recent theory suggests that mechanisms other than trophic tradeoff could enhance the coexistence of ecologically similar species, with a strong emphasis on reproductive processes. Therefore, how resource competition and reproductive interactions jointly drive competitive dynamics is an empirical question of interest. In this context, interspecific competition between two congeneric seed beetles, Callosobruchus maculatus and C. chinensis, is a particularly interesting system; they are ecologically similar, their reproductive biology is well understood, and the two species interact with each other reproductively (through reproductive interference). Here, I review the literature for those who are interested in studying the interspecific interactions within this system, with a special emphasis on their reproductive biology and reproductive interference. I also reanalyze the results of a previous study to provide additional insight. At the end of the paper, I suggest several future directions to encourage future work that could provide further general ecological and evolutionary insights.
Adversarial risk analysis for first‐price sealed‐bid auctions
Authors: Ejaz Muhammad , Joshi Chaitanya , Joe Stephen 
Published: June 2021

SummaryAdversarial risk analysis (ARA) is an upcoming methodology that is considered to have advantages over the traditional decision‐theoretic and game‐theoretic approaches. ARA solutions for first‐price sealed‐bid (FPSB) auctions have been found but only under strong assumptions which make the model somewhat unrealistic. In this paper, we use ARA methodology to model FPSB auctions using more realistic assumptions. We define a new utility function that considers bidders’ wealth, we assume a reserve price and find solutions not only for risk‐neutral but also for risk‐averse as well as risk‐seeking bidders. We model the problem using ARA for non‐strategic play and level‐k thinking solution concepts.
Group sequential testing for cluster randomized trials with time‐to‐event endpoint
Authors: Li Jianghao , Jung Sin‐Ho 
Published: June 2021

AbstractWe propose group sequential methods for cluster randomized trials (CRTs) with time‐to‐event endpoint. The alpha spending function approach is used for sequential data monitoring. The key to this approach is determining the joint distribution of test statistics and the information fraction at the time of interim analysis. We prove that the sequentially computed log‐rank statistics in CRTs do not have independent increment property. We also propose an information fraction for group sequential trials with clustered survival data and a corresponding sample size determination approach. Extensive simulation studies are conducted to evaluate the performance of our proposed testing procedure using some existing alpha spending functions in terms of expected sample size and maximal sample size. Real study examples are taken to demonstrate our method.
Exacerbation of immune thrombocytopenia following COVID‐19 vaccination
Authors: Kuter David J. 
Published: June 2021

SummaryThere is concern that COVID‐19 vaccination may adversely affect immune thrombocytopenia (ITP) patients. Fifty‐two consecutive chronic ITP patients were prospectively followed after COVID‐19 vaccination. Fifteen percent had no worsening of clinical symptoms but no post‐vaccination platelet count; 73% had no new symptoms and no significant platelet count decline. However, 12% had a median platelet count drop of 96% within 2–5 days post vaccination with new bleeding symptoms; after rescue therapy with corticosteroids +/− intravenous immunoglobulin (IVIG), platelets recovered to >30 × 109/l a median three days later. ITP exacerbation occurred independently of remission status, concurrent ITP treatment, or vaccine type. Safety of a second vaccine dose needs careful assessment.
CGRP receptor antagonists for migraine. Are they also AMY1 receptor antagonists?
Authors: Garelja Michael L. , Walker Christopher S. , Hay Debbie L. 
Published: June 2021

The development of several drugs that target the calcitonin gene‐related peptide (CGRP) system has been a major breakthrough in the pharmacological management of migraine. These are divided into two major classes, antibodies which bind to the CGRP peptide, preventing it from activating CGRP receptors and receptor antagonists. Within the receptor antagonist class, there are two mechanisms of action, small molecule receptor antagonists and an antibody antagonist. This mini‐review considers the pharmacology of these receptor targeted antagonist drugs at the CGRP receptor and closely related AMY1 receptor, at which CGRP may also act. The antagonists are most potent at the CGRP receptor but can also show antagonism of the AMY1 receptor. However, important data are missing and selectivity parameters cannot be provided for all antagonists. The clinical implications of AMY1 receptor antagonism are unknown, but we urge consideration of this receptor as a potential contributing factor to CGRP and antagonist drug actions.LINKED ARTICLESThis article is part of a themed issue on Advances in Migraine and Headache Therapy (BJP 75th Anniversary). To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v179.3/issuetoc