bluuebunny/crossref_metadata_2025_split huggingface dataset:
Information-Distilled Generative Label-Free Morphological Profiling Encodes Cellular Heterogeneity
Authors: Lo Michelle C.K. , Siu Dickson M. D. , Lee Kelvin C. M. , Wong Justin S. J. , Yeung Maximus C.F. , Hsin Michael K.Y. , Ho James C.M. , Tsia Kevin K. 
Published: November 2023

AbstractImage-based cytometry faces constant challenges due to technical variations arising from different experimental batches and conditions, such as differences in instrument configurations or image acquisition protocols, impeding genuine biological interpretation of cell morphology. Existing solutions, often necessitating extensive pre-existing data knowledge or control samples across batches, have proved limited, especially with complex cell image data. To overcome this, we introduceCyto-Morphology Adversarial Distillation(CytoMAD), a self-supervised multi-task learning strategy that distills biologically relevant cellular morphological information from batch variations, enabling integrated analysis across multiple data batches without complex data assumptions or extensive manual annotation. Unique to CytoMAD is its “morphology distillation”, symbiotically paired with deep-learning image-contrast translation - offering additional interpretable insights into the label-free morphological profiles. We demonstrate the versatile efficacy of CytoMAD in augmenting the power of biophysical imaging cytometry. It allows integrated label-free classification of different human lung cancer cell types and accurately recapitulates their progressive drug responses, even when trained without the drug concentration information. We also applied CytoMAD to jointly analyze tumor biopsies across different non-small-cell lung cancer patients’ and reveal previously unexplored biophysical cellular heterogeneity, linked to epithelial-mesenchymal plasticity, that standard fluorescence markers overlook. CytoMAD holds promises to substantiate the wide adoption of biophysical cytometry for cost-effective diagnostic and screening applications.
JAGGER localization and function is dependent on GPI anchor addition
Authors: Figueiredo Raquel , Costa Mónica , Moreira Diana , Moreira Miguel , Noble Jennifer , Pereira Luís Gustavo , Melo Paula , Palanivelu Ravishankar , Coimbra Sílvia , Pereira Ana Marta 
Published: November 2023

ABSTRACTIn flowering plants, successful double fertilization requires the correct delivery of two sperm cells to the female gametophyte inside the ovule. The delivery of a single pair of sperm cells is achieved by the entrance of a single pollen tube into one female gametophyte. To prevent polyspermy, Arabidopsis ovules avoid the attraction of multiples pollen tubes to one ovule – polytubey block. In Arabidopsisjaggermutants, a significant number of ovules attract more than one pollen tube to an ovule due to an impairment in synergid degeneration.JAGGERencodes a putative arabinogalactan protein (AGP) which is predicted to be anchored to the plasma membrane by a glycosylphosphatidylinositol (GPI) anchor. Here, we show that JAGGER fused to citrine yellow fluorescent protein (JAGGER-cYFP) is functional and localizes mostly to the periphery of ovule integuments and transmitting tract cells. We further investigated the importance of GPI-anchor addition domains for JAGGER localization and function. Different JAGGER proteins with deletions in predicted ω-site regions and GAS (GPI attachment signal) domain, expected to compromise the addition of the GPI anchor, led to disruption of JAGGER localization in the cell periphery. All JAGGER proteins with disrupted localization were also not able to rescue the polytubey phenotype, pointing to the importance of GPI-anchor addition toin vivofunction of the JAGGER protein.
Multidrug resistance plasmids commonly reprogramme expression of metabolic genes inEscherichia coli
Authors: Hall Rebecca J. , Snaith Ann E. , Thomas Matthew J. N. , Brockhurst Michael A. , McNally Alan 
Published: November 2023

AbstractMultidrug resistantEscherichia coliis a leading cause of global mortality. Transfer of plasmids carrying genes encoding beta-lactamases, carbapenamases, and colistin resistance genes between lineages is driving the rising rates of hard to treat nosocomial and community infections. Multidrug resistance (MDR) plasmid acquisition commonly causes transcriptional disruption, and whilst a number of studies have shown strain-specific fitness and transcriptional effects of an MDR plasmid across diverse bacterial lineages, fewer studies have compared impacts of different MDR plasmids in a common bacterial host. As such, our ability to predict which MDR plasmids are the most likely to be maintained and spread in bacterial populations is limited. Here, we introduced eight diverse MDR plasmids encoding resistances against a range of clinically important antibiotics intoE. coliK-12 MG1655 and measured their fitness costs and transcriptional impacts. The scale of the transcriptional responses varied substantially between plasmids, ranging from >650 to <20 chromosomal genes being differentially expressed. However, neither the scale of regulatory disruption nor the plasmid size correlated with the magnitude of the plasmid fitness cost, which also varied between plasmids. The identities of differentially expressed genes varied among plasmids, although expression of certain metabolic genes and functions were convergently affected by multiple plasmids, including the downregulation of genes involved in L-methionine transport and metabolism. Our data show the complexity of interaction between host genetic background and plasmid genetic background in determining the impact of MDR plasmid acquisition onE. coli.ImportanceThe increase of infections that are resistant to multiple classes of antibiotics, including those isolates that carry carbapenamases, beta-lactamases, and colistin resistance genes, is of global concern. Many of these resistances are spread by conjugative plasmids. Understanding more about how an isolate responds to an incoming plasmid that encodes antibiotic resistance will provide information that could be used to predict the emergence of MDR lineages. Here, the identification of metabolic networks as being particularly sensitive to incoming plasmids suggests possible targets for reducing plasmid transfer.
Single cell RNA-seq reveals protracted germ line X chromosome reactivation dynamics directed by a PRC2 dependent mechanism
Authors: Liu Yaqiong , Lau Xianzhong , Prabhakaran Munusamy , Sanchez Carlos M Abascal Sherwell , Snell Daniel , Sangrithi Mahesh 
Published: November 2023

AbstractInitiating soon after PGC specification, female germ cells undergo reactivation of the silenced X chromosome during genome wide reprogramming. However, the kinetics and dynamics of XCRin vivohave remained poorly understood. To address this here we perform a global appraisal of XCR using high-dimensional techniques. UsingF1B6 v CASTmouse embryos, we perform a detailed assessment, applying single-cell RNA-seq and chromatin profiling on germ cells purified from E10.5 to E16.5. While scRNA-seq profile showed that male and female germ cells are transcriptionally indistinct at E11.5, they are sexually dimorphic by E12.5, diverging further through development to E16.5. With allelic resolution, we show that the reactivating X chromosome is only partly active at E10.5, then reactivates gradually and reaches near parity in output to the constitutively active X chromosome at ∼E16.5 when developing oogonia are meiosis prophase I. Crucially, we show that sexually dimorphic dosage compensation patterns observed in germ cells, occur in tandem with an increase in the allelic proportion from the reactivating X chromosome. WhileXistis extinguished from E10.5, the epigenetic memory of earlier XCI in female cells persists much longer, likely from self-sustained PRC2 complex (Ezh2 / Eed / Suz12) function. The reactivating X chromosome is enriched in the epigenetic silencing mark H3K27me3 at E13.5, which is removed by E16.5 permitting gene expression. Our findings link XCR, along with functional regulation of PRC2 in promoting female meiosis.
Communication, disclosure and power games: a figurational approach to understanding CPA Australia's corporate governance scandal
Authors: Pigatto Giacomo , Dumay John , Cinquini Lino , Tenucci Andrea 
Published: November 2023

PurposeThis research aims to examine and understand the rationales and modalities behind the use of disclosure before, during and after a corporate governance scandal involving CPA Australia (CPAA).Design/methodology/approachData beyond CPAA's annual reports were collected, such as news articles, media releases, an independent review panel (IRP) report, and the Chief Operating Officer's letter to members. These disclosures were manually coded and analysed through the word counts and word trees in NVivo. This study also relied on Norbert Elias' conceptual tool of power games among networks of actors – figurations – to model the scandal as a power game between the old Board, the press, concerned members, the IRP and the new Board. This study analysed the data to reveal a collective and in fieri power balance that changed with the phases of the scandal.FindingsA mix of voluntary, involuntary, requested and absent disclosures was important in triggering, managing and ending the CPAA scandal. Moreover, communication and disclosure fulfilled a constitutive role since both: mobilised actors, enabled coordination among actors, contributed to pursuing shared goals and influenced power balances. Such a constitutive role was at the heart of the ability of coalitions of figurations to challenge and restore the powerful status quo.Originality/value This research introduces to accounting studies the collective and in fieri dimensions of power from figurational theory. Moreover, the research sheds new light on using voluntary, involuntary, requested and absent disclosures before, during and after a corporate crisis.
Counteracting noncommunicable diseases with front-of-pack nutritional labels' informativeness: an inquiry into the effects on food acceptance and portions selection
Authors: Mazzù Marco Francesco , Baccelloni Angelo , Romani Simona 
Published: November 2023

PurposeFront-of-pack nutritional labels have been extensively studied to support consumers in making healthier and more informed food choices. However, existing research has gathered conflicting evidence about which category of label, nutrient-specific or summary labels, is more effective. As a result, the European Union has postponed its decision on selecting a unified label to collect additional information. This study specifically focusses on individuals with noncommunicable diseases, an overlooked yet relevant segment of consumers who can significantly benefit from the proper use of nutritional labels in their self-care.Design/methodology/approachIn a sequence of three studies grounded in the front-of-pack acceptance model and focussing on customers with specific noncommunicable diseases, the authors examined the different effects of the NutrInform Battery and Nutri-Score on food acceptance and portion selection. This research involved the use of structural equation modelling and ANOVA and was conducted with a cumulative sample of 2,942 EU adults, residing in countries with or without previous exposure to nutritional labels.FindingsThe results suggest that among individuals with noncommunicable diseases, nutrient-specific labels are perceived as more useful and easier to use. They also generate a better attitude towards the usage of nutritional labels and are more effective in nudging those consumers towards a proper selection of portions.Social implicationsThe results provide valuable insights into how front-of-pack nutritional labels can impact the food choices of individuals with noncommunicable diseases and have implications for public health policies.Originality/valueInvestigation of the effects of NutrInform Battery and Nutri-Score on consumers with noncommunicable diseases, an area currently under-researched.
Listing switch and financial performance of companies: evidence from the Warsaw Stock Exchange
Authors: Podedworna-Tarnowska Dorota 
Published: November 2023

PurposeThe purpose of this article is to present the results of empirical research concerning the identification of the impact of the transfer of companies from the alternative market to the regulated market of the Warsaw Stock Exchange on their operating and net performance.Design/methodology/approachThe study was conducted based on the empirical data of the companies that changed the listing place on the Warsaw Stock Exchange. Data regarding the years before the transfer were collected from the prospectuses of companies prepared mandatorily in connection with the transition to the regulated market. Data regarding the years of the event and subsequent years were obtained from companies' annual reports. As in other studies in the analysis, the operational metrics were used (operating return on sale, operating return on assets, total asset turnover), which was further extended to net profitability ratios (net return on ale, net return on asset, net return on equity). The significance analysis was based on the Student's t-test and Wilcoxon’s test.FindingsThe results show that before the transfer from the alternative market to the regulated market, companies improved financial performance. As a result of the change of listing venues, the results already collapsed in the year of the event. The downward trend continued in the following two years, with a noticeable improvement in the third year after the transfer.Originality/valueThe literature lacks such studies based on the Polish market. To the best knowledge of the author, this is one of the first studies in Poland showing the changes in operating and net performance of companies changing the stock listing venues. The research is based on a large group including all companies that have changed listing venues since the beginning of the alternative market in Poland. The article presents an original empirical result that can be used both by managers and investors in their decisions.
Machine learning-based probabilistic fatigue assessment of turbine bladed disks under multisource uncertainties
Authors: Zhu Shun-Peng , Niu Xiaopeng , Keshtegar Behrooz , Luo Changqi , Bagheri Mansour 
Published: November 2023

PurposeThe multisource uncertainties, including material dispersion, load fluctuation and geometrical tolerance, have crucial effects on fatigue performance of turbine bladed disks. In view of the aim of this paper, it is essential to develop an advanced approach to efficiently quantify their influences and evaluate the fatigue life of turbine bladed disks.Design/methodology/approachIn this study, a novel combined machine learning strategy is performed to fatigue assessment of turbine bladed disks. Proposed model consists of two modeling phases in terms of response surface method (RSM) and support vector regression (SVR), namely RSM-SVR. Two different input sets obtained from basic variables were used as the inputs of RSM, then the predicted results by RSM in first phase is used as inputs of SVR model by using a group data-handling strategy. By this way, the nonlinear flexibility of SVR inputs is improved and RSM-SVR model presents the high-tendency and efficiency characteristics.FindingsThe accuracy and tendency of the RSM-SVR model, applied to the fatigue life estimation of turbine bladed disks, are validated. The results indicate that the proposed model is capable of accurately simulating the nonlinear response of turbine bladed disks under multisource uncertainties, and SVR-RSM model provides an accurate prediction strategy compared to RSM and SVR for fatigue analysis of complex structures.Originality/valueThe results indicate that the proposed model is capable of accurately simulate the nonlinear response of turbine bladed disks under multisource uncertainties, and SVR-RSM model provides an accurate prediction compared to RSM and SVRE for fatigue analysis of turbine bladed disk.
Virtual reality in retailing: a meta-analysis to determine the purchase and non-purchase behavioural intention of consumers
Authors: Mishra Satyam , Mishra Anubhav , Dubey Ashish , Dwivedi Yogesh K. 
Published: November 2023

PurposeThe purpose of this meta-analysis is to encapsulate the outcomes and generate meaningful conclusions by examining the factors that influence consumers' purchase and non-purchase behaviour intention in a virtual reality retailing context.Design/methodology/approachThis study integrates the outcomes from 52 studies, including 403 relationships involving 19,188 samples. The analysis was conducted using R-metafor and AMOS software.FindingsThe findings indicate that key factors that influence purchase and non-purchase behavioural intentions are virtual reality (VR)characteristics, virtual reality experience and consumer attitudes. VR experience is the strongest predictor for purchase decisions in virtual environment ,while consumer attitude towards VR most strongly influences the non-purchase behaviour of the consumers. Furthermore, the age of the respondents, cultural backgrounds (high vs low power distance) and gender moderate the relationship between consumers' attitudes and purchase and behaviour intentions.Practical implicationsMarketers can positively influence consumer attitudes and behavioural intentions by prioritizing the design of the virtual environment and facilitating unique experiences (by manipulating different sensory stimuli) in virtual retailing.Originality/valueThe current meta-analysis reconciles and reinforces the findings in the extant literature and provides a robust empirical generalization of the critical factors that influence consumers' purchase or behavioural intentions in a virtual retailing context.
The configurational effects of artificial intelligence-based hiring decisions on applicants' justice perception and organisational commitment
Authors: Yu Jun , Ma Zhengcong , Zhu Lin 
Published: November 2023

PurposeThis study aims to investigate the configurational effects of five rules – artificial intelligence (AI)-based hiring decision transparency, consistency, voice, explainability and human involvement – on applicants' procedural justice perception (APJP) and applicants' interactional justice perception (AIJP). In addition, this study examines whether the identified configurations could further enhance applicants' organisational commitment (OC).Design/methodology/approachDrawing on the justice model of applicants' reactions, the authors conducted a longitudinal survey of 254 newly recruited employees from 36 Chinese companies that utilise AI in their hiring. The authors employed fuzzy-set qualitative comparative analysis (fsQCA) to determine which configurations could improve APJP and AIJP, and the authors used propensity score matching (PSM) to analyse the effects of these configurations on OC.FindingsThe fsQCA generates three patterns involving five configurations that could improve APJP and AIJP. For pattern 1, when AI-based recruitment with high interpersonal rule (AI human involvement) aims for applicants' justice perception (AJP) through the combination of high informational rule (AI explainability) and high procedural rule (AI voice), there must be high levels of AI consistency and AI voice to complement AI explainability, and only this pattern of configurations can further enhance OC. In pattern 2, for the combination of high informational rule (AI explainability) and low procedural rule (absent AI voice), AI recruitment with high interpersonal rule (AI human involvement) should focus on AI transparency and AI explainability rather than the implementation of AI voice. In pattern 3, a mere combination of procedural rules could sufficiently improve AIJP.Originality/valueThis study, which involved real applicants, is one of the few empirical studies to explore the mechanisms behind the impact of AI hiring decisions on AJP and OC, and the findings may inform researchers and managers on how to best utilise AI to make hiring decisions.
Business models for communication departments: a comprehensive approach to analyzing, explaining and innovating communication management in organizations
Authors: Zerfass Ansgar , Link Jeanne 
Published: November 2023

PurposeThe question of whether and how communication departments contribute to organizational value creation has rarely been addressed in research. Such evidence is crucial, however, as communications compete internally with other functions (e.g. marketing and human resources (HR)) for budgets and staff. This article fills the gap by applying the business model concept, an established approach from management theory and practice, to communication units.Design/methodology/approachBased on an interdisciplinary literature review, the authors propose the Communication Business Model (CBM) as a new management approach for communications. To this end, pertinent definitions, frameworks and typologies of business models are analyzed and combined with insights from corporate communications literature.FindingsThe CBM outlines the generic architecture of business models for communication departments. Such models describe the basic principles of how such a unit operates, what services and products it provides, how it creates value for an organization and what revenues and resources are allocated.Research limitations/implicationsThe approach stimulates the debate on communication units as objects of observation when researching communication management practices. Further research with appropriate empirical methods is needed to identify and study different types of business models for communications.Practical implicationsThe CBM can be used as a management tool to analyze, explain and innovate communication management in organizations. It is a fertile approach for communication practitioners to make the work of their department visible and to position themselves internally and externally.Originality/valueTransferring a well-known concept from general management to communication management enriches the value creation debate in theory and practice. It allows communication leaders to align their work with organizational goals and make it accessible to top management and other decision-makers in the organization. It also opens up new avenues for research and education.
Does monetary policy impact income inequality?
Authors: Attílio Luccas Assis 
Published: November 2023

PurposeThis article analyzes the impact of monetary policy on income inequality across 16 advanced economies. The author investigates three key points: (1) the relationship between domestic monetary policy and domestic income inequality, (2) the spillover effect of USA monetary policy (including quantitative easing) on international inequality and (3) the quantitative influence of the monetary policies of both the USA and the Eurozone on the formation of domestic income inequalities.Design/methodology/approachThe author employed the Global Vector Autoregressive (GVAR) model, which uses Vector Autoregressive with Exogenous Variables (VARXs) models of each economy to build an integrated system that enables us to evaluate individual responses to global shocks.FindingsThe author's analysis reveals that (1) contractionary monetary policy exacerbates domestic inequality and (2) USA monetary policy, including quantitative easing, affects international inequality. Furthermore, the author's variance decomposition analysis highlights that USA monetary policy is especially influential on income inequality in Norway and Sweden. Additionally, the cointegrating analysis confirms that monetary policy's impact on inequality persists in the long term.Originality/valueMost of the studies focused on investigating domestic economies as closed economies. However, the author's approach differs in that the author uses the GVAR, which treats all economies as open. This allows us to incorporate the world economy into the domestic dynamics and connect the economies using bilateral trade. Another advantage of the GVAR is that it captures spillover effects by modeling each economy and constructing the international economy.