bluuebunny/crossref_metadata_2025_split huggingface dataset:
Structural Adaptation of Fungal Cell Wall in Hypersaline Environment
Authors: Fernando Liyanage D. , Pérez-Llano Yordanis , Dickwella Widanage Malitha C. , Jacob Anand , Martínez-Ávila Liliana , Lipton Andrew S. , Gunde-Cimerman Nina , Latgé Jean-Paul , Batista-García Ramón Alberto , Wang Tuo 
Published: April 2023

ABSTRACTHalophilic fungi, which thrive in hypersaline habitats and face a range of extreme conditions. These fungal species have gained considerable attention due to their potential applications in harsh industrial processes, such as bioremediation and fermentation under unfavorable conditions of hypersalinity, low water activity, and extreme pH. However, the role of the cell wall in surviving these environmental conditions remains unclear. Here we employ solid-state NMR spectroscopy to compare the cell wall architecture ofAspergillus sydowiiacross salinity gradients. Analyses of intact cells reveal thatA. sydowiicell walls contain a rigid core comprising chitin, β-glucan, and chitosan, shielded by a surface shell composed of galactomannan and galactosaminogalactan. When exposed to hypersaline conditions,A. sydowiienhances chitin biosynthesis and incorporates α-glucan to create thick, stiff, and hydrophobic cell walls. Such structural rearrangements enable the fungus to adapt to both hypersaline and salt-deprived conditions, providing a robust mechanism for withstanding external stress. These molecular principles can aid in the optimization of halophilic strains for biotechnology applications.
XenopusSsbp2 is required for embryonic pronephros morphogenesis and terminal differentiation
Authors: Cervino Ailen S. , Collodel Mariano G. , Lopez Ivan A. , Hochbaum Daniel , Hukriede Neil A. , Cirio M. Cecilia 
Published: April 2023

AbstractThe nephron, functional unit of the vertebrate kidney, is specialized in metabolic wastes excretion and body fluids osmoregulation. Given the high evolutionary conservation of gene expression and segmentation patterning between mammalian and amphibian nephrons, theXenopus laevispronephric kidney offers a simplified model for studying nephrogenesis. The Lhx1 transcription factor plays several roles during embryogenesis, regulating target genes expression by forming multiprotein complexes with LIM binding protein 1 (Ldb1). However, few Lhx1-Ldb1 cofactors have been identified for kidney organogenesis. By tandem-affinity purification from kidney-inducedXenopusanimal caps, we identifiedsingle-stranded DNAbindingprotein2(Ssbp2) interacts with the Ldb1-Lhx1 complex. Ssbp2 is expressed in theXenopuspronephros, and knockdown prevents normal morphogenesis and differentiation of the glomus and the convoluted renal tubules. We demonstrate a role for a member of the Ssbp family in kidney organogenesis and provide evidence of a fundamental function for the Ldb1-Lhx1-Ssbp transcriptional complexes in embryonic development.
Systematic evaluation of intratumoral and peripheral BCR repertoires in three cancers
Authors: Krasik S.V. , Bryushkova E.A. , Sharonov G.V. , Myalik D.S. , Shurganova E.V. , Komarov D.V. , Shagina I.A. , Shpudeiko P.S. , Turchaninova M.A. , Vakhitova M.T. , Samoylenko I.V. , Marinov D.T. , Demidov LV , Zagainov V.E. , Chudakov D.M. , Serebrovskaya E.O. 
Published: April 2023

AbstractThe current understanding of humoral immune response in cancer patients suggests that tumors may be infiltrated with diffuse B cells of extra-tumoral origin or may develop organized lymphoid structures, where somatic hypermutation and antigen-driven selection occur locally. These processes are believed to be significantly influenced by the tumor microenvironment through secretory factors and biased cell-cell interactions. To explore the manifestation of this influence, we used deep unbiased immunoglobulin profiling and systematically characterized the relationships between B cells in circulation, draining lymph nodes (draining LNs), and tumors in 14 patients with three human cancers. We demonstrated that draining LNs are differentially involved in the interaction with the tumor site, and that significant heterogeneity exists even between different parts of a single lymph node (LN). Next, we confirmed and elaborated upon previous observations regarding intratumoral immunoglobulin heterogeneity. We identified B cell receptor (BCR) clonotypes that were expanded in tumors relative to draining LNs and blood and observed that these tumor-expanded clonotypes were less hypermutated than non-expanded (ubiquitous) clonotypes. Furthermore, we observed a shift in the properties of complementarity-determining region 3 of the BCR heavy chain (CDR-H3) towards less mature and less specific BCR repertoire in tumor-infiltrating B-cells compared to circulating B-cells, which may indicate less stringent control for antibody-producing B cell development in tumor microenvironment (TME). In addition, we found repertoire-level evidence that B-cells may be selected according to their CDR-H3 physicochemical properties before they activate somatic hypermutation (SHM). Altogether, our work outlines a broad picture of the differences in the tumor BCR repertoire relative to non-tumor tissues and points to the unexpected features of the SHM process.
Neural extracellular matrix regulates visual sensory motor integration
Authors: Reinhard Jacqueline , Mueller-Buehl Cornelius , Wiemann Susanne , Roll Lars , Luft Veronika , Shabani Hamed , Rathbun Daniel L. , Gan Lin , Kuo Chao-Chung , Franzen Julia , Joachim Stephanie C. , Faissner Andreas 
Published: April 2023

SUMMARYVisual processing depends on sensitive and balanced synaptic neurotransmission. Extracellular matrix proteins in the environment of cells are key modulators in synaptogenesis and synaptic plasticity. In the present study, we provide evidence that the combined loss of the four extracellular matrix components brevican, neurocan, tenascin-C and tenascin-R in quadruple knockout mice leads to severe retinal dysfunction and diminished visual motion processingin vivo. Remarkably, impaired visual motion processing was accompanied by a developmental loss of cholinergic direction-selective starburst amacrine cells. Additionally, we noted imbalance of inhibitory and excitatory synaptic signaling in the quadruple knockout retina. Collectively, the study offers novel insights into the functional importance of four key extracellular matrix proteins for retinal function, visual motion processing and synaptic integrity.Graphical AbstractIn briefIn their study, Reinhard et al. show that the combined loss of the extracellular matrix components brevican, neurocan, tenascin-C and tenascin-R in quadruple knockout mice leads to retinal dysfunction, diminished visual motion processing, developmental loss of cholinergic direction-selective starburst amacrine cells and imbalance of inhibitory and excitatory synaptic integrity.HighlightsCombined loss of the four extracellular matrix molecules brevican, neurocan, tenascin-C and tenascin-R causes retinal dysfunctionImpaired visual motion processing in quadruple, tenascin-C and tenascin-R knockout miceLoss of cholinergic direction-selective starburst amacrine cells in the quadruple knockout retinaThe matrisome influences inhibitory and excitatory synaptic balance
Dual spatio-temporal regulation of axon growth and microtubule dynamics by RhoA signaling pathways
Authors: Wojnacki José , Quassollo Gonzalo , Bordenave Martín D. , Unsain Nicolás , Martínez Gaby F. , Szalai Alan M. , Pertz Olivier , Gundersen Gregg G. , Bartolini Francesca , Stefani Fernando D. , Cáceres Alfredo , Bisbal Mariano 
Published: April 2023

AbstractRhoA plays a crucial role in neuronal polarization, where its action restraining axon outgrowth has been thoroughly studied. We now report that RhoA has not only inhibitory but also a stimulatory effect on axon development depending on when and where exerts its action and the downstream effectors involved. In cultured hippocampal neurons, FRET imaging revealed that RhoA activity selectively localizes in growth cones of undifferentiated neurites, while in developing axons it displays a biphasic pattern, being low in nascent axons and high in elongating ones. RhoA-Rho kinase (ROCK) signaling prevents axon initiation but has no effect on elongation, while formin inhibition reduces axon extension without significantly altering initial outgrowth. Besides, RhoA-mDia promotes axon elongation by stimulating growth cone microtubule stability and assembly, as opposed to RhoA-ROCK that restrains growth cone microtubule assembly and protrusion. Finally, we show that similar mechanisms might operate during axonal regeneration, with RhoA-ROCK slowing axon regrowth after axotomy and RhoA-mDia favoring extension of regenerated axons.
Combining technology readiness and acceptance model for investigating the acceptance of m-learning in higher education in India
Authors: Kampa Raj Kishor 
Published: April 2023

PurposeThe study aims to validate a mobile learning readiness scale through the technology readiness and acceptance model (TRAM), thereby assessing students' readiness to adopt m-learning in teaching and learning, including its acceptance.Design/methodology/approachA structured questionnaire was administered to open and distance learning (ODL) students in Odisha, India, to assess their readiness and acceptance of m-learning. 665 valid responses were collected, and collected data was analysed using statistical packages for social sciences (SPSS) and SmartPLS.FindingsThe findings of the study reveal that optimism contributes positively to perceived ease of use (PEOU) and perceived usefulness (PU) of m-learning (β = 7.921, p < 0.001; β = 2.123, p < 0.05), whereas innovativeness positively contributes to PEOU of m-learning (β = 2.227, p < 0.05), but not PU of m-learning. ODL student's optimism improves his/her PEOU and PU of m-learning, but innovativeness improves only his/her PEOU. Further, the impact of innovativeness is higher than that of optimism in the TRAM and innovativeness is the strong predictor to adopt m-learning. It also shows that the PU of m-learning positively influences behavioural intention to use m-learning (β = 4.757, p < 0.001). Integrating technology readiness (TR) with technology acceptance model (TAM) to predict students' acceptance of m-learning is very useful.Practical implicationsThe paper will help decision-makers to adopt and use m-learning in higher educational institutions.Originality/valueThis paper is the first to explore the readiness and acceptance of m-learning in higher education in India.
Mathematical modeling of optimal allocation of remote workforce: an interdisciplinary investigation with Hofstede's cultural factors and managerial ability
Authors: Sun Jie , Kim Sangahn , Zhao Fang 
Published: April 2023

PurposeAs the pandemic begins to ease, many companies are figuring out that working remotely is the future of work and “a new normal”. This research focuses on strategic planning and practices inherent in remote work, and aims to identify the optimal balance between virtual and on-site working. Specifically, the authors investigate the moderating effects of managerial ability and Hofstede's cultural factors.Design/methodology/approachThe authors build a mathematical model to locate the optimal balance between virtual and on-site working. A numerical study is presented, and additional sensitivity analysis is conducted to validate the proposed model.FindingsThis model provides organizations with a general guideline with recommended optimal percentages of remote workforce based on specific Hofstede's national scores. The authors also find that organizations with varying levels of managerial ability exhibit different adoption rates of remote working.Research limitations/implicationsBecause of the chosen research approach, the proposed model may lack empirical verification and require further adjustment of parameters. Therefore, researchers are encouraged to empirically and statistically test the proposed model further.Practical implicationsThis model equips organizations and practitioners with a general guideline to identify their desired portion of remote workforce. The incorporation of managerial ability and cultural factors makes our model applicable to various business structures across different sectors.Originality/valueThis proposed model addresses this optimization problem from a mathematical perspective with an interdisciplinary approach. The model also considers the moderating effects of managerial ability and Hofstede's cultural factors.HighlightsThe main contribution of this study is the theoretical development of our mathematical model that identifies the optimal balance between remote and on-site workforce in the context of managerial ability and Hofstede's cultural factors.A numerical study is presented, and additional sensitivity analysis is conducted to validate the proposed model and highlight the moderating effect of managerial ability and cultural influence on the adopted percentages of remote working.Our study suggests that organizational capabilities, managerial skills, and culturally suitable work arrangement are vital in successful development and implementation of remote working policy.Practical managerial implications and general guidelines are offered to organizations and practitioners.
Industry 4.0 and Lean Manufacturing – a systematic review of the state-of-the-art literature and key recommendations for future research
Authors: Saad Sameh M. , Bahadori Ramin , Bhovar Chandan , Zhang Hongwei 
Published: April 2023

Purpose
This paper aims to analyse the current state of research to identify the link between Lean Manufacturing and Industry 4.0 (I4.0) technologies to map out different research themes, to uncover research gaps and propose key recommendations for future research, including lessons to be learnt from the integration of lean and I4.0.

Design/methodology/approach
A systematic literature review (SLR) is conducted to thematically analyse and synthesise existing literature on Lean Manufacturing–I4.0 integration. The review analysed 60 papers in peer-reviewed journals.

Findings
In total, five main research themes were identified, and a thematic map was created to explore the following: the relationship between Lean Manufacturing and I4.0; Lean Manufacturing and I4.0 implication on performance; Lean Manufacturing and I4.0 framework; Lean Manufacturing and I4.0 integration with other methodologies; and application of I4.0 technologies in Lean Manufacturing. Furthermore, various gaps in the literature were identified, and key recommendations for future directions were proposed.

Research limitations/implications
The integration of Lean Manufacturing and I4.0 will eventually bring many benefits and offers superior and long-term competitive advantages. This research reveals the need for more analysis to thoroughly examine how this can be achieved in real life and promote operational changes that ensure enterprises run more sustainably.

Originality/value
The development of Lean Manufacturing and I4.0 integration is still in its infancy, with most articles in this field published in the past two years. The five main research themes identified through thematic synthesis are provided in the original contribution. This provides scholars better insight into the existing literature related to Lean Manufacturing and I4.0, further contributing to defining clear topics for future research opportunities. It also has important implications for industrialists, who can develop more profound and richer knowledge than Lean and I4.0, which would, in turn, help them develop more effective deployment strategies and have a positive commercial impact.
The effects of social media use and consumer engagement on physician online return: evidence from Weibo
Authors: Yang Yabin , Guo Xitong , Wu Tianshi , Vogel Doug 
Published: April 2023

PurposeSocial media facilitates the communication and the relationship between healthcare professionals and patients. However, limited research has examined the role of social media in a physicians' online return. This study, therefore, investigates physicians' online economic and social capital return in relation to physicians' use of social media and consumer engagement.Design/methodology/approachUsing ordinary least squares (OLS) regression with fixed effects (FE) and panel data collected from Sina Weibo and Sina Health, this study analyzes the impact of physicians' social media use and consumer engagement on physicians' online return and the moderation effect of professional seniority.FindingsThe results reveal that physicians' use of social media and consumer sharing behavior positively affect physicians' online economic return. In contrast, consumer engagement positively impacts physicians' online social capital return. While professional seniority enhances the effect of physicians' social media use on online economic return, professional seniority only enhances the relationship between consumers' sharing behavior to the posts and physicians' online social capital return when professional seniority comes to consumer engagement.Originality/valueThis study reveals the different roles of social media use and consumer engagement in physicians' online return. The results also extend and examine the social media affordances theory in online healthcare communities and social media platforms.
Can augmented reality (AR) applications enhance students’ experiences? Gratifications, engagement and learning styles
Authors: tom Dieck M. Claudia , Cranmer Eleanor , Prim Alexandre , Bamford David 
Published: April 2023

PurposeThe use of augmented reality (AR) and experiential learning go hand in hand. Although AR learning opportunities have been well discussed, there is limited empirical research on the use of AR within higher education settings. Drawing from the uses and gratifications theory (U&GT), this study aims to explore the use of AR for learning satisfaction and student engagement, while also examining differences in learning styles.Design/methodology/approachThis study used experiments with higher education students in the UK to explore the use of AR as part of the learning experience. Data from 173 students who experienced AR as part of their learning experience were analysed using partial least square analysis.FindingsThe authors found that hedonic, utilitarian, sensual and modality gratifications influence AR learning satisfaction and student engagement. Furthermore, the authors found differences between active and passive learners with regards to utilitarian (information seeking, personalisation) and sensual gratifications (immersion, presence) and effects on learning satisfaction.Originality/valueThis study developed and validated a U&GT framework incorporating different learning styles rooted in Kolb’s learning cycle. Findings provide important implications for the use of commercial AR applications as part of the learning experience within higher education settings.
Self-defence against Fulani herders’ aggression: a demand for licenced firearms in Plateau state, Nigeria
Authors: Kasa Adamu Gayus , Egharevba Matthew E. , Jegede Ajibade E. 
Published: April 2023

Purpose
This study aims to investigate the clamour by the people of Plateau State, Nigeria, for more licences to bear firearms for self-defence because of the continuous failure of the Nigerian State to defend them against the Fulani herders’ aggression. More guns less crime deterrence theory served as the framework of analysis, which posits that because criminals are rational beings, they will choose not to attack when they know many people have legitimate firearms.

Design/methodology/approach
Data were collected from four purposefully selected local government areas of the state. This study’s sample size was 400. Therefore, 400 copies of the Google Forms questionnaire were administered. In addition, seven key informant interviews and nine focus group discussions were also conducted.

Findings
This research results showed the following: while self-defence and issuance of more licenses were supported by 84.8% and 85.0% of respondents, respectively, they also argued that the insurgency would likely end if more people carried legally acquired firearms. Again, the study showed a positive correlation between the government’s failure in security and the demand for self-defence exercises against the Fulani herdsmen’s insurgency, this study recommends more licensed firearms for the people of Plateau State.

Originality/value
This study recommends more licenced firearms for the people of Plateau State.
Two decades of financial statement fraud detection literature review; combination of bibliometric analysis and topic modeling approach
Authors: Soltani Milad , Kythreotis Alexios , Roshanpoor Arash 
Published: April 2023

Purpose
The emergence of machine learning has opened a new way for researchers. It allows them to supplement the traditional manual methods for conducting a literature review and turning it into smart literature. This study aims to present a framework for incorporating machine learning into financial statement fraud (FSF) literature analysis. This framework facilitates the analysis of a large amount of literature to show the trend of the field and identify the most productive authors, journals and potential areas for future research.

Design/methodology/approach
In this study, a framework was introduced that merges bibliometric analysis techniques such as word frequency, co-word analysis and coauthorship analysis with the Latent Dirichlet Allocation topic modeling approach. This framework was used to uncover subtopics from 20 years of financial fraud research articles. Furthermore, the hierarchical clustering method was used on selected subtopics to demonstrate the primary contexts in the literature on FSF.

Findings
This study has contributed to the literature in two ways. First, this study has determined the top journals, articles, countries and keywords based on various bibliometric metrics. Second, using topic modeling and then hierarchy clustering, this study demonstrates the four primary contexts in FSF detection.

Research limitations/implications
In this study, the authors tried to comprehensively view the studies related to financial fraud conducted over two decades. However, this research has limitations that can be an opportunity for future researchers. The first limitation is due to language bias. This study has focused on English language articles, so it is suggested that other researchers consider other languages as well. The second limitation is caused by citation bias. In this study, the authors tried to show the top articles based on the citation criteria. However, judging based on citation alone can be misleading. Therefore, this study suggests that the researchers consider other measures to check the citation quality and assess the studies’ precision by applying meta-analysis.

Originality/value
Despite the popularity of bibliometric analysis and topic modeling, there have been limited efforts to use machine learning for literature review. This novel approach of using hierarchical clustering on topic modeling results enable us to uncover four primary contexts. Furthermore, this method allowed us to show the keywords of each context and highlight significant articles within each context.