bluuebunny/crossref_metadata_2025_split huggingface dataset:
Rates of global cellular translation and transcription during cell growth and the cell cycle in fission yeast
Authors: Basier Clovis , Nurse Paul 
Published: October 2022

SummaryProliferating eukaryotic cells grow and undergo cycles of cell division. Growth is continuous whilst the cell cycle consists of discrete events. How the production of biomass is controlled as cells increase in size and proceed through the cell cycle is important for understanding the regulation of global cellular growth. This has been studied for decades but has not yielded consistent results. Previous studies investigating how cell size, the amount of DNA, and cell cycle events affect the global cellular production of proteins and RNA molecules have led to highly conflicting results, probably due to perturbations induced by the synchronisation methods used. To avoid these perturbations, we have developed a system to assay unperturbed exponentially growing populations of fission yeast cells. We generated thousands of single-cell measurements of cell size, of cell cycle stage, and of the levels of global cellular translation and transcription. This has allowed us to determine how cellular changes arising from progression through the cell cycle and cells growing in size affect global cellular translation and transcription. We show that translation scales with size, and additionally increases at late S-phase/early G2, then increases early in mitosis and decreases later in mitosis, suggesting that cell cycle controls are operative over global cellular translation. Transcription increases with both size and the amount of DNA, suggesting that the level of transcription of a cell may be the result of a dynamic equilibrium between the number of RNA polymerases associating and disassociating from DNA.
Loss of N-terminal acetyltransferase A activity induces thermally unstable ribosomal proteins and increases their turnover
Authors: Guzman Ulises H. , Aksnes Henriette , Ree Rasmus , Krogh Nicolai , Jakobsson Magnus E. , Jensen Lars J. , Arnesen Thomas , Olsen Jesper V. 
Published: October 2022

AbstractProtein N-terminal (Nt) acetylation is one of the most abundant modifications in eukaryotes, covering ∼50-80 % of the proteome, depending on species. Cells with defective Nt-acetylation display a wide array of phenotypes such as impaired growth, mating defects and increased stress sensitivity. However, the pleiotropic nature of these effects has hampered our understanding of the functional impact of protein Nt-acetylation. The main enzyme responsible for Nt-acetylation throughout the eukaryotic kingdom is the N-terminal acetyltransferase NatA. Here we employed a multi-dimensional proteomics approach to analyzeSaccharomyces cerevisiaelacking NatA activity, which caused global proteome remodeling. Pulsed-SILAC experiments revealed that NatA-deficient strains consistently increased degradation of ribosomal proteins compared to wild type. Explaining this phenomenon, thermal proteome profiling uncovered decreased thermostability of ribosomes in NatA-knockouts. Our data are in agreement with a role for Nt-acetylation in promoting stability for parts of the proteome by enhancing the avidity of protein-protein interactions and folding.TeaserA multidimensional proteomics approach reveals the effect of N-terminal acetylation onSaccharomyces cerevisiaecytosolic ribosomal proteins.
CSR authenticity and micro-foundations of business: a systematic review
Authors: Hassan Yusuf , Pandey Jatin , Behl Abhishek , Pereira Vijay , Vaz Daicy 
Published: October 2022

PurposeThe current market conditions are driving firms to plan, design and implement corporate social responsibility (CSR) policies that are true to the firms' real sense, i.e. authentic. Authenticity is an important aspect of micro-foundations of CSR in shaping the way social responsibility initiatives would impact the stakeholders including the customers, partners, current members of the organization and shareholders. This calls for a need to synthesize past research on CSR authenticity in order to propose directions for future research.Design/methodology/approachThe current study synthesizes relevant literature on CSR authenticity using systematic literature review (SLR) approach. In total, 34 research works were identified and examined to seek insights on CSR authenticity.FindingsFindings of the study identified various miro-, meso- and macro-level determinants of CSR authenticity and different set of outcomes having implications on business and society. The study also proposes a comprehensive definition of CSR authenticity which was somewhat missing in existing literature.Practical implicationsThe study provides strong theoretical and managerial implications. Particularly, the study provides directions for future research on the topic.Originality/valueIn this paper, a review of literature on CSR authenticity is currently missing.
Identities and the pursuit of legitimacy: A study of black women wine industry entrepreneurs
Authors: Ojediran Olufunmilola (Funmi) , Discua Cruz Allan , Anderson Alistair 
Published: October 2022

PurposeThe aim of this study is to better understand how black women utilize capital to frame their entrepreneurial identities in order to become legitimate and thus challenge institutional norms. To achieve this, the study draws on perspectives on legitimacy, identity and capital and focuses on the well-established wine industry in South Africa.Design/methodology/approachUsing in-depth qualitative data from semi-structured interviews, this study delves into the lived experiences of nine black women entrepreneurs and three stakeholders in the South African wine industry. Such a context is unique because of the aspects of exclusion and segregation of black women. The data were supplemented with associated secondary material and were analysed using the constant comparative technique.FindingsThis study reveals dissonance, that is, a misfit, between black women's social identities and their entrepreneurial self-identities in the South African wine industry; the study uncovers that specific capital forms allow framing their identity through heroical self-description, exploiting professionalism and enacting new roles to alter the perception of what is socially legitimate in the wine industry.Originality/valueThis study contributes to understanding by highlighting that black women entrepreneurs in the wine industry rebel against the expectation that they must fit into a predetermined role. The study highlights the relevance of legitimacy, identity and capital theoretical perspectives to study an underexplored context and unpack how black women challenge the barriers that affect their entrepreneurial identities in their quest to become legitimate. The value of this study revolves around revealing the underexplored connection between entrepreneurial identity and legitimacy through actions taken by black women entrepreneurs when reworking the role(s) tied to their social identities. The findings suggest the importance of capital, particularly cultural capital, in how black women entrepreneurs become legitimate in the wine industry. Avenues for further research are offered.
The role of Industry 4.0 technologies on performance measurement systems of supply chains during global pandemics: an interval-valued intuitionistic hesitant fuzzy approach
Authors: Amoozad Mahdiraji Hannan , Yaftiyan Fatemeh , Abbasi Kamardi Ali Asghar , Garza-Reyes Jose Arturo , Razavi Hajiagha Seyed Hossein 
Published: October 2022

PurposeThis paper aims to investigate Supply Chain (SC) Performance Measurement Systems (PMSs) (SCPMSs) that are suitable and applicable to evaluate SC performance during unexpected events such as global pandemics. Furthermore, the contribution of Industry 4.0 Disruptive Technologies (IDTs) to implement SCPMSs during such Black Swan events is investigated in this study.Design/methodology/approachThe research methodology is based upon a novel qualitative and quantitative mixed-method. A Systematic Literature Review (SLR) was initially employed to identify two complete lists of SCPMSs and IDTs. Then, a novel Interval-Valued Intuitionistic Hesitant-Fuzzy (IVIHF)-Delphi method was firstly developed in this paper to screen the extracted SCPMSs. Afterward, the Propriety, Economic, Acceptable, Resource, Legal (PEARL) indicator of the Hanlon method was innovatively applied to prioritize the identified IDTs for each finalized SCPMS.FindingsTwo high-score SCPMSs including the SC operations reference (SCOR) model and sustainable SCPMS were recommended to improve measuring the performance of the pharmaceutical SC of emerging economies such as Iran in which the societal, biological and economic issues were undeniable, particularly during unexpected events. Employing nine IDTs such as simulation, big data analytics, cloud technologies, etc., would facilitate implementing sustainable SCPMS from distinct perspectives.Originality/valueThis is one of the first papers to provide in-depth insights into determining the priority of contribution of IDTs in applying different SCPMSs during global pandemics. Proposing a novel multi-layer mixed-methodology involving SLR, IVIHF-Delphi, and the PEARL indicator of the Hanlon method is another originality offered by this paper.
On the inverse identification of wood elastic properties using a DIC-based FEMU approach
Authors: Henriques João , Xavier José , Andrade-Campos António 
Published: October 2022

PurposeThis work aims to identify the linear elastic orthotropic material paramters of Pinus pinaster Ait. wood, using full-field measurements and an inverse identification strategy based on the finite element (FE) method updating technique.Design/methodology/approachCompression tests are carried out under uniaxial and quasi-static loading conditions on wood specimens oriented on the radial-tangential (RT) plane, with different grain orientations. Full-field displacements and strains are measured using digital image correlation (DIC), which are then used as a reference in the identification procedure. A FE model is implemented assuming plane stress conditions, where wood is modelled as an orthotropic homogeneous material. Based on the numerical results, a synthetic image reconstruction scheme is implemented to synthetically deform the reference experimental image, which is then processed by DIC and further compared to the experimental results.FindingsThe results for both approaches were similar when both specimen configurations were used in a single run. However, when using the DIC-based FEMU approach with the on-axis configuration, the identified modulus of elasticity in the tangential direction and shear modulus are closer to the reference values.Originality/valueThis approach ensures a fair comparison between both sets of data since the full-field strain maps are obtained through the same filter and therefore have the same strain formulation, spatial resolution and data filtering. Firstly, the identification is performed using a single configuration, either the on-axis or the off-axis specimen. Secondly, the identification is carried out by merging data from both on-axis and off-axis configurations.
On the dynamic neural network toolbox design for identification, estimation and control
Authors: Chairez Isaac , Guarneros-Sandoval Israel Alejandro , Prud Vlad , Andrianova Olga , Ernest Sleptsov , Chertopolokhov Viktor , Bugriy Grigory , Mukhamedov Arthur 
Published: October 2022

PurposeThere are common problems in the identification of uncertain nonlinear systems, nonparametric approximation, state estimation, and automatic control. Dynamic neural network (DNN) approximation can simplify the development of all the aforementioned problems in either continuous or discrete systems. A DNN is represented by a system of differential or recurrent equations defined in the space of vector activation functions with weights and offsets that are functionally associated with the input data.Design/methodology/approachThis study describes the version of the toolbox, that can be used to identify the dynamics of the black box and restore the laws underlying the system using known inputs and outputs. Depending on the completeness of the information, the toolbox allows users to change the DNN structure to suit specific tasks.FindingsThe toolbox consists of three main components: user layer, network manager, and network instance. The user layer provides high-level control and monitoring of system performance. The network manager serves as an intermediary between the user layer and the network instance, and allows the user layer to start and stop learning, providing an interface to indirectly access the internal data of the DNN.Research limitations/implicationsControl capability is limited to adjusting a small number of numerical parameters and selecting functional parameters from a predefined list.Originality/valueThe key feature of the toolbox is the possibility of developing an algorithmic semi-automatic selection of activation function parameters based on optimization problem solutions.
Does publication history influence the integrity of the journals: studying publication timelines and their impact on journal metrics?
Authors: Shah Ubaid Ullah , Mushtaq Rabiya , Bhat Suhail Ahmad , Gul Sumeer 
Published: October 2022

PurposeThe purpose of the study is to evaluate the relationship of Journal Publication Timeline (submission to first decision and submission to final decision) with various Journal Metrics (citing half-life, article influence score, the immediacy index, the acceptance rate, the impact factor (IF), five years IF, Eigenfactor and cited half-life) of top 600 journals retrieved from Journal Citation Report (JCR) 2020 under the tag, Elsevier Unified.Design/methodology/approachTop 600 journals in the decreasing order of the IFs under the tag, “Elsevier Unified” were retrieved from JCR 2020 of Clarivate Analytics. Information about “Journal Metrics” was ascertained using “Customized Service” of JCR, while information about the “Publication Timeline” of each journal was obtained using Elsevier's “Journal Insights Service.” It was found that only 177 journals provided the complete information regarding the “Publication Timeline” and hence considered for the study. Descriptive statistics and correlation analysis was conducted to test the different hypotheses.FindingsIt was found that submission to first decision has a significant relationship with the immediacy index, citing half-life and the acceptance rate. Submission to final decision has a significant relationship with Journal Impact Factor (JIF), the immediacy index, Eigenfactor, citing half-life and the acceptance rate.Research limitations/implicationsThe study will provide the authors with sound and valuable information to support their selection of journals. Inferences in light of fluctuations in the scholarly communication process in terms of Publication Timelines and Journal Metrics can be deeply understood with the aid of the current study's findings. What considerations authors have to take before submitting their papers is the main implication of the study. Journal administrators can also benefit from the findings of the current study as it can help recruit and manage reviewers, which will ensure a successful publication timeline.Originality/valueThe study correlates Publication Timeline Indicators with Journal Metrics Indicators using secondary cross-sectional data. Though most previous studies only examine the relationship of the Publication Timeline with the Journal Impact Factor (JIF), there is very scarce literature that deciphers the influence of Publication Timeline indicators on different Journal Metrics indicators (including JIF).Peer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-02-2022-0108.
The effect of brand experiences and relational benefits on loyalty in the fast-food restaurants
Authors: Dandis Ala’ Omar , Wallace-Williams Donna Marie , Ni Arnt Kyawt , Wright Len Tiu , Abu Siam Yousef Ibrahim 
Published: October 2022

PurposeThe aim of this study is to examine the role of relational benefits and brand experience measurements on willingness to pay more (WPM), effects of word of mouth (WOM) and repurchase intention (RI) in fast-food restaurants (FFR).Design/methodology/approachEmploying an online questionnaire survey with a sample size of 503 respondents, the quantitative methodology included multiple regression and factor analysis to facilitate the analyses of data.FindingsRelational benefits and their dimensions (confidence, special treatment and social benefits) found to positively impact WPM, WOM and RI. With reference to brand experiences, the current study found that behavioural and intellectual experiences have significant and positive effects on WPM, WOM and RI. Surprisingly, no positive significance was identified between sensory experiences and WPM, WOM and RI.Practical implicationsThe findings show that relational benefits and brand experience dimensions play an essential role in improving brand loyalty.Originality/valueThe current study subscribes to the concept of relationship marketing theory, suggesting that loyalty to FFRs can be enhanced by offering customers relational benefits and augmenting their brand experiences.
Effects of biotic interactions on plant fecundity depend on spatial and functional structure of communities and time since disturbance
Authors: Walter Hanna E. , Pagel Jörn , Cooksley Huw , Neu Alexander , Schleuning Matthias , Schurr Frank M. 
Published: October 2022

Abstract

Biotic interactions in plant communities affect individual fitness and community dynamics. Interactions between plants vary in space, over time and with organisational complexity. Yet it is challenging to quantify temporal, spatial and functional determinants of different types of interactions between long‐lived perennial plant species and their effect on lifetime fecundity.

We studied how plant–plant, pollinator‐ and seed predator‐mediated interactions affect year‐to‐year variation in three fecundity components (cone production, seed set and seed survival) during post‐fire recovery. Age‐stratified data on the three fecundity components were collected in 19 even‐aged communities comprising 20 serotinous Protea shrub species in the South African Fynbos. We analyse data on these fecundity components with neighbourhood models to infer the sign and strength of interactions throughout post‐disturbance recovery, the neighbour plant traits that shape them and the spatial scale at which interactions take place. For each fecundity component, these models describe how neighbourhood effects change over time and with spatial distance between plants. We then predicted neighbourhood effects on individual fecundity components and cumulative reproductive output at different post‐fire stand ages for each focal plant.

Competitive effects on cone production and seed set increased with post‐fire stand age as biomass and floral resources for pollinators build up. In contrast, neighbourhood effects on seed survival were weak throughout post‐disturbance recovery. Plant–plant interactions were shaped by neighbour traits related to resource acquisition, whereas animal‐mediated interactions depended on neighbour traits related to resource availability for pollinators and seed predators. The spatial scale of the interactions increased from plant–plant over predator‐mediated to pollinator‐mediated interactions. The joint effect of these interactions on cumulative reproductive output caused the proportion of focal plants experiencing competition to increase with time since fire.

Synthesis. We show that temporal changes in biotic interactions throughout post‐disturbance recovery of perennial plant communities depend on functional traits and can be integrated into neighbourhood effects on lifetime fecundity. Studying the temporal, spatial and functional determinants of neighbourhood effects on lifetime fecundity is important for predicting not only individual plant fitness but also population and community dynamics in changing environments.
Stability of a dominant sponge‐symbiont in spite of antibiotic‐induced microbiome disturbance
Authors: Schmittmann Lara , Rahn Tanja , Busch Kathrin , Fraune Sebastian , Pita Lucía , Hentschel Ute 
Published: October 2022

AbstractMarine sponges are known for their complex and stable microbiomes. However, the lack of a gnotobiotic sponge‐model and experimental methods to manipulate both the host and the microbial symbionts currently limit our mechanistic understanding of sponge‐microbial symbioses. We have used the North Atlantic sponge species Halichondria panicea to evaluate the use of antibiotics to generate gnotobiotic sponges. We further asked whether the microbiome can be reestablished via recolonization with the natural microbiome. Experiments were performed in marine gnotobiotic facilities equipped with a custom‐made, sterile, flow‐through aquarium system. Bacterial abundance dynamics were monitored qualitatively and quantitatively by 16 S rRNA gene amplicon sequencing and qPCR, respectively. Antibiotics induced dysbiosis by favouring an increase of opportunistic, antibiotic‐resistant bacteria, resulting in more complex, but less specific bacteria‐bacteria interactions than in untreated sponges. The abundance of the dominant symbiont, Candidatus Halichondribacter symbioticus, remained overall unchanged, reflecting its obligately symbiotic nature. Recolonization with the natural microbiome could not reverse antibiotic‐induced dysbiosis. However, single bacterial taxa that were transferred, successfully recolonized the sponge and affected bacteria‐bacteria interactions. By experimentally manipulating microbiome composition, we could show the stability of a sponge‐symbiont clade despite microbiome dysbiosis. This study contributes to understanding both host‐bacteria and bacteria‐bacteria interactions in the sponge holobiont.
Pandemic‐induced fear and government policy response as a measure of uncertainty in the foreign exchange market: Evidence from (a)symmetric wild bootstrap likelihood ratio test
Authors: Kathuria Khyati , Kumar Nand 
Published: October 2022

AbstractThe paper aims to examine the ability of a global fear index (GFI) based on the COVID‐19 pandemic and government policy responses as a measure of uncertainty in predicting eight Indian rupee‐based exchange rate return series: the Australian dollar, the Canadian dollar, the Swiss franc, the US dollar, the euro, the British pound sterling, the New Zealand dollar, and the Japanese yen. The predictability of the daily Indian rupee‐based exchange rate return series is tested using the recently developed wild bootstrap likelihood ratio test of Kim and Shamsuddin for the period 2 October 2020 to 8 March 2021. Both symmetric and asymmetric tests revealed GFI as an insignificant determinant of the Indian rupee‐based exchange rate return series. However, government policy responses are a significant determinant of the rupee–dollar exchange rate return series.