bluuebunny/crossref_metadata_2025_split huggingface dataset:
Human disease-specific cell signatures in non-lesional tissue in Multiple Sclerosis detected by single-cell and spatial transcriptomics
Authors: Lam Matti , Lee Dylan , Kosater Ivy , Khairallah Anthony , Taga Mariko , Zhang Ya , Fujita Masashi , Nag Sukriti , Bennett David A. , Jager Philip De , Menon Vilas 
Published: December 2023

AbstractRecent investigations of cell type changes in Multiple Sclerosis (MS) using single-cell profiling methods have focused on active lesional and peri-lesional brain tissue, and have implicated a number of peripheral and central nervous system cell types. However, an important question is the extent to which so-called “normal-appearing” non-lesional tissue in individuals with MS accumulate changes over the lifespan. Here, we compared post-mortem non-lesional brain tissue from donors with a pathological or clinical diagnosis of MS from the Religious Orders Study or Rush Memory and Aging Project (ROSMAP) cohorts to age– and sex-matched brains from persons without MS (controls). We profiled three brain regions using single-nucleus RNA-seq: dorsolateral prefrontal cortex (DLPFC), normal appearing white matter (NAWM) and the pulvinar in thalamus (PULV), from 15 control individuals, 8 individuals with MS, and 5 individuals with other detrimental pathologies accompanied by demyelination, resulting in a total of 78 samples. We identified region– and cell type-specific differences in non-lesional samples from individuals diagnosed with MS and/or exhibiting secondary demyelination with other neurological conditions, as compared to control donors. These differences included lower proportions of oligodendrocytes with expression of myelination related genes MOBP, MBP, PLP1, as well as higher proportions of CRYAB+ oligodendrocytes in all three brain regions. Among microglial signatures, we identified subgroups that were higher in both demyelination (TMEM163+/ERC2+), as well as those that were specifically higher in MS donors (HIF1A+/SPP1+) and specifically in donors with secondary demyelination (SOCS6+/MYO1E+), in both white and grey matter. To validate our findings, we generated Visium spatial transcriptomics data on matched tissue from 13 donors, and recapitulated our observations of gene expression differences in oligodendrocytes and microglia. Finally, we show that some of the differences observed between control and MS donors in NAWM mirror those previously reported between control WM and active lesions in MS donors. Overall, our investigation sheds additional light on cell type– and disease-specific differences present even in non-lesional white and grey matter tissue, highlighting widespread cellular signatures that may be associated with downstream pathological changes.
Machine learning in healthcare strategic management: a systematic literature review
Authors: Salhout Sand Mohammad 
Published: December 2023

PurposeThis study specifically seeks to investigate the strategic implementation of machine learning (ML) algorithms and techniques in healthcare institutions to enhance innovation management in healthcare settings.Design/methodology/approach The papers from 2011 to 2021 were considered following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. First, relevant keywords were identified, and screening was performed. Bibliometric analysis was performed. One hundred twenty-three relevant documents that passed the eligibility criteria were finalized.Findings Overall, the annual scientific production section results reveal that ML in the healthcare sector is growing significantly. Performing bibliometric analysis has helped find unexplored areas; understand the trend of scientific publication; and categorize topics based on emerging, trending and essential. The paper discovers the influential authors, sources, countries and ML and healthcare management keywords.Research limitations/implications The study helps understand various applications of ML in healthcare institutions, such as the use of Internet of Things in healthcare, the prediction of disease, finding the seriousness of a case, natural language processing, speech and language-based classification, etc. This analysis would help future researchers and developers target the healthcare sector areas that are likely to grow in the coming future.Practical implications The study highlights the potential for ML to enhance medical support within healthcare institutions. It suggests that regression algorithms are particularly promising for this purpose. Hospital management can leverage time series ML algorithms to estimate the number of incoming patients, thus increasing hospital availability and optimizing resource allocation. ML has been instrumental in the development of these systems. By embracing telemedicine and remote monitoring, healthcare management can facilitate the creation of online patient surveillance and monitoring systems, allowing for early medical intervention and ultimately improving the efficiency and effectiveness of medical services.Originality/value By offering a comprehensive panorama of ML's integration within healthcare institutions, this study underscores the pivotal role of innovation management in healthcare. The findings contribute to a holistic understanding of ML's applications in healthcare and emphasize their potential to transform and optimize healthcare delivery.
Effect of marketing literacy on the success of entrepreneurial projects
Authors: Elmobayed Mueen Ghazi , Al-Hattami Hamood Mohammed , Al-Hakimi Mohammed A. , Mraish Walaa Salama , Al-Adwan Ahmad Samed 
Published: December 2023

PurposeThis research aims to determine the effect of marketing literacy on the success of entrepreneurial projects (EPS) in Palestine.Design/methodology/approachTo attain the study’s purpose, the researchers employed the questionnaire, which was applied to a random sample of 298 individuals from the owners of entrepreneurial projects in Palestine. The data were analyzed and tested using SmartPls 4 software.FindingsThe study reached a set of results, including that the level of marketing literacy among owners of small businesses in the Gaza Strip was significantly higher for customer service (CS), management style (MS), technology (T) and customer retention (CR). In particular, the results implied that CS, MS, T and CR significantly and positively affect EPS.Practical implicationsThis research would help the start-ups in Palestine spread marketing literacy among the workers in entrepreneurial projects.Originality/valueToday, most countries tend to support entrepreneurs and owners of creative ideas and entrepreneurial projects through various programs. To the best of the authors'' knowledge, this research is distinguished by its modernity and scarcity in the Arab world, particularly in Palestine. Thus, it would help raise awareness of marketing literacy among owners of entrepreneurial projects and provide empirical evidence of success for those who are about to establish an entrepreneurial project.
Why do consumers buy NFTs?: Multi-path of attitude and the bandwagon effect
Authors: Lee Won-jun , Cha Moon-Kyung 
Published: December 2023

PurposeThe non-fungible token (NFT) market has been multiplying in recent years. NFTs are tokens stored on a blockchain network based on smart contract technology that can be used to represent ownership of digital assets and cannot be changed like-for-like. With NFTs, all recorded digital properties can be freely traded and stored with values, making them possible to increase content transactions' privacy and security. In addition, NFTs engender new ways to organize, consume, share and store digital content. Despite the rapid growth of the NFT market, related consumer behaviors have yet to be well-known and relevant academic research results are very scarce. This study aims to explain how NFT fits with blockchain and cryptocurrency and how consumers accept it. This paper also develops a structured causal model with multiple paths to explain the antecedents and attitude variables for NFT acceptance.Design/methodology/approachThe data collection was conducted from 542 young consumers in Korea via an online survey. The structural equation modeling method was used to analyze the hypotheses.FindingsAttitudes toward technology and assets positively affect NFT purchase behavioral intentions. Additionally, symbolic driver affects behavioral intention directly.Originality/valueThe results expanded the understanding of the NFT market and consumers, which are still in their early stages. They also provide valuable insights for establishing future market strategies for NFT.
The role of transactive memory system of inter-organizational collaboration in innovation and performance
Authors: Utami Ami Fitri , Japutra Arnold , van Doorn Sebastiaan , Ekaputra Irwan Adi 
Published: December 2023

PurposeThis study assesses how the transactive memory systems (TMS) framework extends to cross-organizational ties. This research also treats TMS dimensions (i.e. knowledge specialization, coordination and trust) as distinct variables, each with unique contributions toward innovation.Design/methodology/approachThis study used a survey to collect data. Out of the 140 Fintech firms registered with OJK in Indonesia in 2021, 101 firms responded to the invitation to participate in the survey. Structural equation modeling was used to analyze the data.FindingsThe authors find evidence that collaborating with partners displaying high knowledge specialization leads to radical innovation, while low knowledge specialization collaborations lead to incremental innovation. Both relationships are moderated by the level of coordination and trust between collaborating partners, underlining the impact of TMS on the cross-organizational collaboration aspect. Finally, while incremental innovation leads to higher performance, radical innovation does not enhance performance in the short term.Originality/valueThis study explains how Fintech peer-to-peer lending firms' proficiency in pursuing innovation depends on their liaison with the collaborative partners.
Disaster risk reduction (DRR) pioneers interview with Charlotte Benson [1]
Authors: Benson Charlotte 
Published: December 2023

PurposeThis transcript provides a historical overview of the discussions on economics in disaster risk reduction.Design/methodology/approachThe transcript and video was developed in the context of a United Nations Office for Disaster Risk Reduction (UNDRR) project on the History of DRR.FindingsThe transcript discusses how the work on the economic impacts of disasters started and evolved over time.Originality/valueThe interview highlights the importance of studying and understanding risk and risk creation in disaster risk management.
Mapping the landscape of HRM research in higher education: a 40-year review and directions for future research
Authors: Gassanova Amina , Kozhakhmet Sanat 
Published: December 2023

PurposeThe purpose of this study is to analyze and map the terrain of human resource management (HRM) in higher education (HE) contexts, with the aim of uncovering potential gaps within the existing knowledge base.Design/methodology/approachThis study employs a unique, in-depth bibliometric analysis of 945 publications from the Web of Science database over the past 40 years between 1981 and 2022.FindingsBased on the bibliometric analysis, the authors retrospectively examined the dominant research themes in HRM within the HE sphere, tracing their evolution over time. Four central clusters emerged: the theoretical foundations of HRM, strategic HRM, organizational culture and human capital development. Furthermore, the authors pinpointed critical research gaps and proposed areas for future inquiry, such as the impact of HRM on productivity, leadership dynamics, sustainable growth development, international staffing strategies and knowledge transfer mechanisms.Research limitations/implicationsThis study demonstrates how academics can use bibliometric techniques to systemize literature, expose potential gaps and suggest fruitful lines of inquiry in the field of investigation. The findings of this study can also help improve the decision-making processes of managers and human resource professionals.Originality/valueThis study provides readers with a systematic understanding of the development of HRM in HE settings and presents forward-looking perspectives, highlighting future research possibilities. Moreover, it validates the significance of bibliometric analysis as an efficient technique for discovering gaps in the existing literature.
Public debt forecasts and machine learning: the Italian case
Authors: Sica Edgardo , Altınbaş Hazar , Marini Gaetano Gabriele 
Published: December 2023

PurposePublic debt forecasts represent a key policy issue. Many methodologies have been employed to predict debt sustainability, including dynamic stochastic general equilibrium models, the stock flow consistent method, the structural vector autoregressive model and, more recently, the neuro-fuzzy method. Despite their widespread application in the empirical literature, all of these approaches exhibit shortcomings that limit their utility. The present research adopts a different approach to public debt forecasts, that is, the random forest, an ensemble of machine learning.Design/methodology/approachUsing quarterly observations over the period 2000–2021, the present research tests the reliability of the random forest technique for forecasting the Italian public debt.FindingsThe results show the large predictive power of this method to forecast debt-to-GDP fluctuations, with no need to model the underlying structure of the economy.Originality/valueCompared to other methodologies, the random forest method has a predictive capacity that is granted by the algorithm itself. The use of repeated learning, training and validation stages provides well-defined parameters that are not conditional to strong theoretical restrictions This allows to overcome the shortcomings arising from the traditional techniques which are generally adopted in the empirical literature to forecast public debt.
Effects of digital orientation on organizational resilience: a dynamic capabilities perspective
Authors: Liu Yanzhe , Guo Minrui , Han Zhongyi , Gavurova Beata , Bresciani Stefano , Wang Tao 
Published: December 2023

PurposeThis study aims to investigate the impact of digital orientation (DO) on organizational resilience (OR) and explore the contingency effects of human resource slack and nature of enterprise ownership.Design/methodology/approachThe model hypotheses were tested using fixed effects regression on panel data collected from Chinese A-share listed manufacturing firms spanning from 2007 to 2020.FindingsDO has a positive effect on OR. Human resource slack positively moderates the relationship between DO and OR. Additionally, DO enhances OR more effectively in non-state-owned firms than in state-owned firms.Research limitations/implicationsThis study relies on data from a single industry from a single country.Practical implicationsThe study supports that firms facing uncertainty, risk and pressure should promptly develop their DO strategy. Firms can derive greater resilience from implementing a DO strategy when they have a high-level human resource pool. State-owned enterprises will benefit from a DO strategy if they make some adaptive changes in leadership, structure, culture and mindset aspects.Originality/valueThis study is the first to examine the relationship between DO and OR, contributing to the existing literature on digital transformation and organizational resilience. It offers valuable insights for practitioners and policymakers seeking to adapt their organizations for the digital era and foster predictive, defensive and growth responses strategies in a dynamic business environment.
The factors impacting the intermediating variable of employee engagement toward employee performance in a hybrid working model
Authors: Jindain Chanapa , Gilitwala Bhumiphat 
Published: December 2023

PurposeThe purpose of this study was to investigate the factors impacting the intermediating variable of employee engagement toward employee performance in a hybrid working organization in Bangkok, Thailand.Design/methodology/approachThis study uses secondary data analysis and an archival study; the primary data were gathered from 370 employees who are working in a hybrid model environment in a private agricultural machinery company. To construct a new conceptual framework, this study adopted four frameworks from the previous research.FindingsPerceived organizational support and trust and respect in the organization are found to have a significant positive impact on employee engagement. Moreover, there is a significant positive impact of the employee engagement on employee performance in a hybrid working model.Research limitations/implicationsFor hybrid work environments, the research focused mainly on the emotional themes of perceived support, trust and respect in the organization. Therefore, there would be many factors that could possibly affect those dependence variables in any environment, which will have to be investigated more in future research. Either in the organization or in the company, many departments and business units operates for the company, but the researcher specifies only the business units or departments that now use the hybrid working model.Practical implicationsThis study focuses on a case study of an agricultural machinery company, which likely produces different results than other industries, other industries may produce different results.Social implicationsHybrid working models can blur the boundaries between work and personal life, potentially leading to increased stress and burnout. Organizations should prioritize work-life balance and employee well-being by promoting flexible schedules, encouraging breaks and time off, and providing resources for mental health support.Originality/valueThe organization which is operating among a hybrid working model, the increasing of perceived organizational support and trust and respect level, has positively increase the employee engagement toward enhancing the employee performance.
Nitrogen addition suppresses soil positive priming effect in temperate plantations: Evidence from an 8‐year in situ field experiment
Authors: Qi Dandan , Huang Guodong , Feng Yuhan , He Xin , Song Yu , Song Fuqiang 
Published: December 2023

Abstract

The microbial‐driven soil priming effect (PE) determines soil carbon emissions and is essential for accurately predicting the feedbacks between the terrestrial carbon cycle and global changes. In recent years, human activities have resulted in increased atmospheric nitrogen (N) deposition, but there is limited understanding of the long‐term effects of N deposition on soil microbial communities and their impact on soil PE in temperate plantations.

This study utilized Korean pine plantation soils with 8 years of in situ N addition to investigate the mechanisms of the impact of long‐term N addition on PE through carbon (13C) isotope tracing and high‐throughput sequencing techniques.

We found that N addition significantly changed the soil bacterial community structure, while the effect on the fungal community structure did not reach a significant level. Addition of 13C‐glucose resulted in soil‐positive PE, which exhibited a significant decreasing trend with increasing N addition. Compared with the control (0 kg N ha−1 year−1), the net carbon balance of the low N (20 kg N ha−1 year−1) showed no significant change, while the medium N (40 kg N ha−1 year−1) and high N (80 kg N ha−1 year−1) significantly increased by 35.47% and 35.79%, respectively, implying that glucose carbon was trapped in the soil much more than organic carbon decomposition. The PLS‐PM explained 69.0% of the total variation in PE among different N additions, showing that bacterial core taxa were the main driver of PE and that carbon enzyme activities (β‐1,4‐glucosidase and polyphenol oxidase) were a direct factor in regulating PE.

Our results provide insights into accurately assessing the soil carbon sequestration potential of plantations under the influence of N deposition.

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Homogeneous microenvironmental conditions under nurses promote facilitation
Authors: Sánchez‐Martín Ricardo , Montesinos‐Navarro Alicia , Ochoterena Helga , Pisanty Irene , Rodríguez‐Sánchez Mariana , Verdú Miguel , Flores‐Olvera Hilda 
Published: December 2023

Abstract

Biotic interactions are highly affected by species traits and micro‐environmental variability. Research on facilitation has primarily focused on how nurse species alleviate abiotic stress for beneficiary species, while the impact of the micro‐environmental variability generated by nurse plants in shaping facilitation outcomes is poorly understood. This study has two objectives: (i) To evaluate which traits define beneficiary species and (ii) to evaluate whether nurse and non‐nurse species differ in their ability to reduce abiotic stress and its variability under their canopy.

We sampled recruits in two arid and stressful environments to assess (i) which species accumulate more juveniles beneath their canopy controlling for their coverage (nurse vs. non‐nurse species) and (ii) which species benefited from facilitation by determining whether they tend to recruit more beneath other species or on the bare ground (beneficiary/non‐beneficiary). First, we compared how nurse and non‐nurse species modify the physical and chemical microenvironments underneath their canopy, both in terms of magnitude and variation. Second, we compared root growth, water retention and nutrient accumulation in juvenile plants of beneficiary and non‐beneficiary species.

We found that facilitation is enhanced by species that provide a more homogeneous microenvironment rather than an intense reduction of microenvironmental stress under their canopy. In addition, the juveniles of beneficiary species invest more in root development, accumulate Ca and S in their shoot tissues, and show a higher water content than non‐beneficiary species.

Our findings indicate that the homogeneity of microenvironments plays a crucial role in facilitative interactions, and the juveniles of beneficiary species show a less conservative strategy, investing more in resource acquisition than juveniles of non‐beneficiary species.

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