bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bibliometric analysis of emerging trends and research foci in brainstem tumor field over thirty years (1992-2023)
Authors: Geng Yibo , Xie Luyang , Li Jinping , Wang Yang , Li Xiong 
Published: September 2023

AbstractBackgroundOver the past several decades, numerous articles have been published on brainstem tumors. However, there has been limited bibliometric analysis in this field. Therefore, we conducted a bibliometric analysis to elucidate the evolution and current status of brainstem tumor research.MethodsWe retrieved 5,927 studies published in English between 1992 and 2023 from the Web of Science Core Collection database. We employed bibliometric tools and VOSviewer to conduct the analysis.ResultsWe identified and included a total of 5,927 publications for further analysis. The number of annual publications has exhibited steady growth over time. The United States accounted for the highest number of publications and total citations. The St. Jude Children’s Research Hospital emerged as the most productive institution, while the Journal of Neurosurgery was the leading journal in terms of publication output. Among individual researchers, Liwei Zhang had the highest number of publications, while Eric Bouffet received the most citations in this field. The study titled "Somatic Histone H3 Alterations in Pediatric Diffuse Intrinsic Pontine Gliomas and Non-brainstem Glioblastomas" stood out as the most cited work in this field. Keyword analysis revealed that immune therapy and epigenetic research are the focal points of this field.ConclusionOur bibliometric analysis underscores the enduring significance of brainstem tumors in the realm of neuro-oncology research. The field’s hotspots have transitioned from surgery and radiochemotherapy to investigating epigenetic mechanisms and immune therapy.
Biophysically Interpretable Inference of Cell Types from Multimodal Sequencing Data
Authors: Chari Tara , Gorin Gennady , Pachter Lior 
Published: September 2023

AbstractMultimodal, single-cell genomics technologies enable simultaneous capture of multiple facets of DNA and RNA processing in the cell. This creates opportunities for transcriptome-wide, mechanistic studies of cellular processing in heterogeneous cell types, with applications ranging from inferring kinetic differences between cells, to the role of stochasticity in driving heterogeneity. However, current methods for determining cell types or ‘clusters’ present in multimodal data often rely on ad hoc or independent treatment of modalities, and assumptions ignoring inherent properties of the count data. To enable interpretable and consistent cell cluster determination from multimodal data, we present meK-Means (mechanistic K-Means) which integrates modalities and learns underlying, shared biophysical states through a unifying model of transcription. In particular, we demonstrate how meK-Means can be used to cluster cells from unspliced and spliced mRNA count modalities. By utilizing the causal, physical relationships underlying these modalities, we identify shared transcriptional kinetics across cells, which induce the observed gene expression profiles, and provide an alternative definition for ‘clusters’ through the governing parameters of cellular processes.
In vitroproliferation ofMytilus edulismale germ cell progenitors
Authors: Khorami Hajar Hosseini , Breton Sophie , Angers Annie 
Published: September 2023

AbstractOur understanding of basic cellular processes has mostly been provided by mammalian cell culture, and by some non-mammalian vertebrate and few invertebrate cell culture models. Developing reliable culture conditions for non-model organisms is essential to allow investigation of more unusual cellular processes. Here, we investigate how cells isolated from different tissues of the marine musselMytilus edulisthrive and survivein vitroin the hope of establishing a suitable laboratory model for the investigation of cellular mechanisms specific to these bivalve mollusks. We found that cells dissociated from male mantle tissue attached to the culture vessels and proliferated wellin vitro, whereas all other cell types, although remaining viable, did not maintain divisions over three to four weeks in culture. We used antibodies against the germ-line marker DEAD-box helicase 4 (DDX4), also known as VASA, and the epithelial cell marker cytokeratin to distinguish different cell types in culture. DDX4-positive cells were the only cells that significantly proliferated in culture, and only from male tissue samples. Overall, the culture conditions described here allow an efficient selection of male germ cells that could be used to study specific cellular mechanismsin vitro.
Characterization of a family I inorganic pyrophosphatase from Legionella pneumophila Philadelphia 1
Authors: Moorefield Julia , Konuk Yagmur , Norman Jordan O. , Abendroth Jan , Edwards Thomas E. , Lorimer Donald D. , Mayclin Stephen J. , Staker Bart L. , Craig Justin K. , Barett Kayleigh F. , Barrett Lynn K. , Van Voorhis Wesley C. , Myler Peter J. , McLaughlin Krystle J. 
Published: September 2023

Inorganic pyrophosphate (PPi) is generated as an intermediate or byproduct of many fundamental metabolic pathways, including DNA/RNA synthesis. The intracellular concentration of PPi must be regulated as buildup can inhibit many critical cellular processes. Inorganic pyrophosphatases (PPases) hydrolyze PPi into two orthophosphates (Pi), preventing the toxic accumulation of the PPi byproduct in cells and making Pi available for use in biosynthetic pathways. Here, the crystal structure of a family I inorganic pyrophosphatase from Legionella pneumophila is reported at 2.0 Å resolution. L. pneumophila PPase (LpPPase) adopts a homohexameric assembly and shares the oligonucleotide/oligosaccharide-binding (OB) β-barrel core fold common to many other bacterial family I PPases. LpPPase demonstrated hydrolytic activity against a general substrate, with Mg2+ being the preferred metal cofactor for catalysis. Legionnaires' disease is a severe respiratory infection caused primarily by L. pneumophila, and thus increased characterization of the L. pneumophila proteome is of interest.
Big data analytics adaptive prospects in sustainable manufacturing supply chain
Authors: Raj Rohit , Kumar Vimal , Shah Bhavin 
Published: September 2023

PurposeDespite the current progress in realizing how Big Data Analytics can considerably enhance the Sustainable Manufacturing Supply Chain (SMSC), there is a major gap in the storyline relating factors of Big Data operations in managing information and trust among several operations of SMSC. This study attempts to fill this gap by studying the key enablers of using Big Data in SMSC operations obtained from the internet of Things (IoT) devices, group behavior parameters, social networks and ecosystem framework.Design/methodology/approachAdaptive Prospects (Improving SC performance, combating counterfeits, Productivity, Transparency, Security and Safety, Asset Management and Communication) are the constructs that this research first conceptualizes, defines and then evaluates in studying Big Data Analytics based operations in SMSC considering best worst method (BWM) technique.FindingsTo begin, two situations are explored one with Big Data Analytics and the other without are addressed using empirical studies. Second, Big Data deployment in addressing MSC barriers and synergistic role in achieving the goals of SMSC is analyzed. The study identifies lesser encounters of barriers and higher benefits of big data analytics in the SMSC scenario.Research limitations/implicationsThe research outcome revealed that to handle operations efficiently a 360-degree view of suppliers, distributors and logistics providers' information and trust is essential.Practical implicationsIn the Post-COVID scenario, the supply chain practitioners may use the supply chain partner's data to develop resiliency and achieve sustainability.Originality/valueThe unique value that this study adds to the research is, it links the data, trust and sustainability aspects of the Manufacturing Supply Chain (MSC).
Tone and credibility in voluntary disclosures
Authors: Bodoff David , Hirsch Iris 
Published: September 2023

PurposeThe purpose of this research paper is to study attitudinal responses to the tone of a voluntary disclosure. It is known that tone can affect market response. Existing literature assumes that investors' attitudes mediate these effects, but these attitudinal mediators have not been directly measured. The authors are especially interested in cases where a firm is reporting poor financial results. The purpose is to trace the mechanism and conditions under which tone affects the credibility of a voluntary disclosure.Design/methodology/approachThe authors conducted a 2 × 2 between-subjects study that manipulates financial performance (good/bad) and tone (positive/negative). The attitudinal dependent variable is the credibility of the management discussion, with persuasive intent as a mediator of the effects of tone on credibility.FindingsIn the case of bad financial results, a positive tone has a negative effect on credibility as the authors predict. This effect is fully mediated by perceived “persuasive intent”. In the case of good financial performance, credibility is higher when management adopts a positive tone, even though there, too, subjects perceive the persuasive intent.Research limitations/implicationsThe research paper establishes a bridge between the communications and finance literature on the effect of tone in voluntary disclosures. The empirical findings provide initial evidence and new detail regarding an attitudinal response (credibility) that the finance literature often assumes is responsible for mediating market responses to voluntary disclosures. One unexpected finding with interesting implications is that positive tone increases credibility in the case of good news. The implication is that a firm may indulge in taking a victory lap to celebrate good news, without harming the credibility of their corporate communications. Additional research is warranted that combines theory and methods from communications and finance, to further elaborate the attitudinal mechanisms behind the market effects of tone in voluntary disclosures.Originality/valueAt the most general level, the original contribution is the creation of a theoretical and methodological bridge between the communications and finance literature, regarding the effect of tone in voluntary disclosures. This research proposes an integrated theoretical framework, in which the concept of incentives shapes the relationships between the firm's financial situation, a disclosure's tone and its credibility. Methodologically, the authors employ an experimental method, which is more typical in the communications literature, to illuminate the attitudinal effects of tone that are frequently mentioned and assumed in the finance literature.
Looking at the darker side of the mirror: the impact of CEO's narcissism on corporate social irresponsibility
Authors: Riera Marta , Iborra María 
Published: September 2023

PurposeThe aim of this article is to highlight the major part played by executives in the escalation of corporate social irresponsibility (CSI). Based on the upper echelons theory, the authors developed a model which shows the essential role of CEOs in explaining CSI. The authors proposed that the key personality traits of CEOs—narcissism—, as well as their power, could explain the degree of CSI.Design/methodology/approachDue to the significant methodological challenges when investigating CSI, the authors explored a novel method for measuring CSI in order to assess the degree of irresponsible behaviors. The authors build a CSI scale based on the perceptions of key informants, i.e. experts with diverse professional backgrounds. The authors apply CSI scale in a sample of 84 Spanish companies that were involved in CSI.FindingsThe results of the authors’ empirical study show the positive and significant influence of CEO narcissism and CEO power on the degree of CSI.Research limitations/implicationsOn the one hand, corporate irresponsibility scandals have relevant social consequences and practical implications. On the other hand, narcissism is a natural feature of managers in top positions that is increasing in societies.Practical implicationsThe authors’ findings may help CEOs, TMTs and corporate boards to acknowledge potential sources of CSI decreasing its likelihood through counterbalancing CEO's power and considering the dark side of narcissism.Social implicationsOn the one hand, corporate scandals have relevant social and practical implications. On the other hand, narcissism is a natural feature of managers in top positions that is increasing in societies.Originality/valueIn this paper, the authors highlight the role of CEOs characteristics and their firms as the key actors for explaining and understanding the degree of CSI.
Gender inequalities in Korean family business: contradictions between show and tell
Authors: Kim Amee , Ng Poh Yen 
Published: September 2023

PurposeThis paper explores how gender-related issues are communicated in Korean family-run conglomerates (chaebols) and the roles of women within these businesses. It also addresses to what extent the communication of chaebols about female employment and career development reflects the perception of gender representation in these organisations.Design/methodology/approachBy paying attention to gendered discourse in Korean chaebols, this paper examines what is said and written about gender issues in glottographic statements (texts) and non-glottographic statements (charts and other visuals) of annual reports (ARs) published by five chaebols since 2010. The paper uses a Foucauldian framework to develop the archive of statements made within these ARs.FindingsAlthough there is an increase in female-employee ratios, ARs show that number of women at the board or senior management level continue to be small. ARs tend to provide numbers related to female employment and retention in their non-glottographic statements, yet these numbers occasionally differ from and frequently are not explained by glottographic statements. The strategies used by chaebols to improve career prospects for their female staff are only vaguely described and rarely evaluated.Originality/valueThis paper looks beyond the existing discourse analysis on “talk and text” by also investigating claims made through graphic and linear/pictorial elements and their interplay with text. This approach opens new understandings of how gendered discourses are constructed and how they (unintentionally) fail to resolve issues and perceptions related to female employment and career development in Korea.
The influence of non-cognitive ability on the wage of rural migrant workers
Authors: Li Hao 
Published: September 2023

PurposeThe study aims to study the effect of non-cognitive ability in human capital on the wages of rural migrant workers in China. The study also examines the mechanisms by which career choice, career development and social capital influence.Design/methodology/approachBased on the new human capital theory, this paper empirically investigates the effects and mechanisms of rural migrant workers' non-cognitive ability on wages using the 2018 China Family Panel Studies database and Stata 17.0 for construct validation and hypothesis testing.FindingsThe results showed that non-cognitive ability has a significant positive effect on rural migrant workers' wages. Subsequently, the mechanism of non-cognitive ability was examined. In further analysis, the study found that non-cognitive ability has a greater effect on the wages of vulnerable individuals (females, low and medium skills) among the rural migrant workers.Originality/valueThe originality of this study is to break through the existing research perspectives, overcome the limitations of scholars' existing research perspectives focusing on the employment and competitiveness of rural migrant workers in China and explore the factors affecting the rural migrant workers' wages from the perspective of non-cognitive ability as a new entry point by combining psychology. At the same time, the study design is more rigorous, avoiding the measurement error of variables.
Mitigating the effects of a pandemic in sub-Saharan Africa: are fiscal and monetary policy complementary or contradictory?
Authors: Olaoye Olumide O. , Zerihun Mulatu F. 
Published: September 2023

PurposeThe study examined the roles of fiscal and monetary policy in reducing poverty in sub-Saharan Africa (SSA), while accounting for macroeconomic disruptions. In particular, the study examined the complementarity of fiscal and monetary policy to mitigate shocks and reduce poverty in SSA.Design/methodology/approachThe study adopts the fixed effect (within regression) model to account for country-specific characteristics, and a cross-sectional dependence – consistent model to control for the potential cross-sectional in panel data modelling. The study used the dummy variable approach to account for the macroeconomic shocks. The authors assigned 1 to the following years – 2008, 2014 and 2020; and 0 otherwise to take care of the global financial crisis, commodity terms of trade shocks and the COVID-19 pandemic respectively.FindingsThe study found that fiscal policy (particularly, government spending on health and education) has the greater capacity to reduce the level of poverty in SSA. The results also indicate that fiscal policy and monetary policy can work in tandem to reduce the negative effects of a pandemic. However, the study found an optimal threshold level of monetary policy beyond which monetary policy reduces the effectiveness of fiscal policy to reduce poverty in SSA. The research and policy implications are discussed.Originality/valueThe study, unlike previous studies, accounts for the impact of macroeconomic shocks in the monetary/fiscal policy and poverty literature.
ESG equities and Bitcoin: responsible investment and risk management perspective
Authors: Kakinuma Yosuke 
Published: September 2023

Purpose
While an increasing number of investors value socially responsible investment practices, Bitcoin has faced criticism for its carbon footprint resulting from excessive mining power consumption. By examining Bitcoin’s interconnectedness with environmental, social and governance (ESG) equities, this study aims to construct a socially responsible investment strategy for cypto investors.

Design/methodology/approach
This study uses wavelet analysis and a time-varying parameter vector autoregressive (TVP-VAR) model to uncover the interdependence between ESG equities and Bitcoin. This study computes the optimal ratio, showing that Bitcoin significantly reduces portfolio risk when combined with green stocks.

Findings
The results show that co-movements between green stocks and Bitcoin are low, indicating that they are suitable combinations for portfolio diversification. From an environmental perspective, this investment strategy offers a theoretical solution to mitigate the negative impacts associated with Bitcoin mining. It aims to address the dilemma faced by sustainability-conscious investors, who must navigate the economic payoff of Bitcoin against their commitment to green investment principles.

Practical implications
The findings can provide valuable insights for policymakers seeking to develop strategies that promote sustainable investments among crypto investors.

Originality/value
Research on ethical investment practices in the cryptocurrency market remains in the early stages of development. Ethical investors can benefit from including Bitcoin in their ESG equity portfolios.
A robust human target following system in corridor environment based on wall detection
Authors: Li Ruifeng , Wu Wei 
Published: September 2023

Purpose
In corridor environments, human-following robot encounter difficulties when the target turning around at the corridor intersections, as walls may cause complete occlusion. This paper aims to propose a collision-free following system for robot to track humans in corridors without a prior map.

Design/methodology/approach
In addition to following a target and avoiding collisions robustly, the proposed system calculates the positions of walls in the environment in real-time. This allows the system to maintain a stable tracking of the target even if it is obscured after turning. The proposed solution is integrated into a four-wheeled differential drive mobile robot to follow a target in a corridor environment in real-world.

Findings
The experimental results demonstrate that the robot equipped with the proposed system is capable of avoiding obstacles and following a human target robustly in the corridors. Moreover, the robot achieves a 90% success rate in maintaining a stable tracking of the target after the target turns around a corner with high speed.

Originality/value
This paper proposes a human target following system incorporating three novel features: a path planning method based on wall positions is introduced to ensure stable tracking of the target even when it is obscured due to target turns; improvements are made to the random sample consensus (RANSAC) algorithm, enhancing its accuracy in calculating wall positions. The system is integrated into a four-wheeled differential drive mobile robot effectively demonstrates its remarkable robustness and real-time performance.
A multi-model approach for the extension of the use and gratification theory in video game streaming
Authors: Xu Xiao-Yu , Tayyab Syed Muhammad Usman , Jia Qingdan , Huang Albert H. 
Published: September 2023

PurposeVideo game streaming (VGS) is emerging as an extremely popular, highly interactive, inordinately subscribed and very dynamic form of digital media. Incorporated environmental elements, gratifications and user pre-existing attitudes in VGS, this paper presents the development of an extended model of uses and gratification theory (EUGT) for predicting users' behavior in novel technological context.Design/methodology/approachThe proposed model was empirically tested in VGS context due to its popularity, interactivity and relevance. Data collected from 308 VGS users and structural equation modeling (SEM) was employed to assess the hypotheses. Multi-model comparison technique was used to assess the explanatory power of EUGT.FindingsThe findings confirmed three significant types elements in determining VGS viewers' engagement, including gratifications (e.g. involvement), environmental cues (e.g. medium appeal) and user predispositions (e.g. pre-existing attitudes). The results revealed that emerging technologies provide potential opportunities for new motives and gratifications, and highlighted the significant of pre-existing attitudes as a mediator in the gratification-uses link.Originality/valueThis study is one of its kind in tackling the criticism on UGT of considering media users too rational or active. The study achieved this objective by considering environmental impacts on user behavior which is largely ignored in recent UGT studies. Also, by incorporating users pre-existing attitudes into UGT framework, this study conceptualized and empirically verified the higher explanatory power of EUGT through a novel multi-modal approach in VGS. Compared to other rival models, EUGS provides a more robust explanation of users' behavior. The findings contribute to the literature of UGT, VGS and users' engagement.