bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of foreign direct investment on infrastructure development
Authors: Luu Hiep Ngoc , Nguyen Loan Quynh Thi , Nguyen Lan Thi Mai 
Published: November 2024

PurposeThis paper investigates the impact of foreign direct investment (FDI) on infrastructure development, focusing on electricity, transportation and telecommunication.Design/methodology/approachThe study employs multivariate regressions on panel data from up to 165 countries over the period 1996–2015, and the instrumental variables two-stage least squares (IV-2SLS) approach to address endogeneity concerns.FindingsThe results show that FDI promotes most types of infrastructure in the recipient countries. In addition, we find that greenfield investments generally contribute toward infrastructure development, while cross-border M&As exhibit only a little developmental impact and may even exert a negative influence on some infrastructure types. Finally, we find that FDIs have a larger developmental impact on developing nations during the period from 1996 to 2015.Practical implicationsOur findings suggest that, while policies which aim to attract further FDI may yield desirable developmental outcomes, a closer look at particular FDI strategies is required when implementing such policies to ensure a sustainable FDI-development nexus.Originality/valueThis study is among the most comprehensive studies in terms of both the time period and the number of countries analyzed, offering a critical examination of the impact of FDI on infrastructure development. At the same time, by decomposing total FDI into its two major strategies (i.e. greenfield investment and cross-border M&As), we also join the line of work that examines the mechanisms through which FDI affects the development of recipient countries. Finally, it highlights that FDI significantly impacts developing nations, particularly in infrastructure projects affected by corruption. Conversely, in developed countries, FDI may hinder domestic investment and long-term growth.
Dry promotions and positive psychology: striking a balance for employee well-being
Authors: Sen Sujoy , Singh Kuldeep 
Published: November 2024

PurposeWe aim to address the evolving phenomenon of dry promotions and its impact on employee well-being in organizations. Dry promotion, its possible effects on employee well-being and some strategies to mitigate its adverse consequences are presented as a viewpoint paper.Design/methodology/approachThe arguments in this viewpoint are built on theoretical insights drawn from various organizational theories, such as Maslow’s hierarchy of needs, Herzberg’s two-factor theory and self-determination theory. However, the main line of thought revolves around positive psychology theory, which assesses the paper’s existing literature, news articles and case studies to discuss the emerging phenomenon concisely.FindingsDry promotion is often characterized by job title upgrades without corresponding pay increases. While dry promotion may satisfy higher-level needs for some individuals, they usually neglect lower-level needs, leading to stress and work-life imbalance, ultimately causing detrimental effects on employee well-being. Strategies at individual, group and organizational levels are crucial to navigate this phenomenon and its consequences. We argue that fair communication, supportive workplace culture and providing avenues for skill enhancement curtail the adverse effects of dry promotion on employee well-being. In addition, a culture fostering mindfulness can help employees navigate the challenges of increased responsibilities without proportional financial rewards.Practical implicationsOur study can provide at least some guidance on how to navigate through the phenomenon of dry promotions.Originality/valueOur paper contributes to the scant literature on dry promotions by assessing the likely effects of dry promotions on employee well-being and suggesting practical strategies to deal with it.
Continued innovation beyond COVID-19 crisis: toward mitigating the challenges in the tourism and hospitality industry
Authors: Ramachandran Sridar , Ugokwe Chizoba Kingsley , Latiff Khairunnisak , Ibrahim Mohd Romzee 
Published: November 2024

PurposeThis paper aims to provide insights into service innovation (SI) during the COVID-19 crisis and its potential impact on tourism development in the medium-to-long term. The pandemic had a devastating effect on the industry, requiring immediate mitigation. It is yet to fully establish the impact of SI in the face of the COVID-19 volatility, uncertainty, complexity and ambiguity (VUCA). This study discusses the potential link between SI and COVID-19 crisis mitigation and offers recommendations for tourism recovery.Design/methodology/approachThis paper synthesizes empirical evidence on post-crisis tourism SI using a theory-based general literature review approach.FindingsCOVID-19 crisis spun various forms of SI, which emerged as a conventional solution to crisis prevention, encompassing the management of crisis-time competitiveness, revenue deficits and risk perception. However, resistance to innovative services is linked to situational conditions.Research limitations/implicationsCOVID-19 is an unprecedented crisis. Therefore, this study serves as a primer for further inquiry into SI. For instance, areas such as governance in tourism innovation and consumers' inclination toward innovation-driven services are underexplored.Practical implicationsSI acts as a situational facilitator, but its characteristics can impede or facilitate adoption. Moreover, the irrelevance of innovations in some environments is evidenced. Thus, practitioners must adopt a responsive learning approach in SI adoption. To mitigate the COVID-19 impacts, reconfiguration in SI, recovery marketing strategy, knowledge gap and governance will be critical interventions.Originality/valueThis paper is one of the first comprehensive discussions on the potential role of SI in mitigating the impact of COVID-19 on the THI.
Amplitude versus offset attribute inversion method for characterizing gas hydrate: Insights from high resolution seismic imaging and drilling results in the Shenhu area, South China Sea
Authors: Zhang Xudong , Zeng Fanxiang , Jiang Wenbin , Meng Dajiang , Yan Sheng 
Published: November 2024

AbstractAmplitude versus offset attribute inversion primarily utilizes the change in amplitude with offset to extract lithologic information of the reservoir. We performed high resolution imaging using three‐dimensional seismic data and simulated four different models of gas hydrate and free gas to optimize the selection of sensitive attributes for gas hydrate characterization. We optimized the selection of sensitive attributes for gas hydrate characterization. Our research identified the gradient parameter G as a highly sensitive attribute for characterizing gas hydrate reservoirs. By comparing theoretical models with drilling site data, we predicted the saturation variations of gas hydrate based on the amplitude of G and summarized the amplitude versus offset characteristics and sensitive attributes of gas hydrate at different saturation levels. The results offer valuable insights for identification of gas hydrate in seismic data and provide a reference for their characterization.
The Past or a Foreign Country? Should the Conservatives Look to Churchill or Australia After the 2024 General Election?
Authors: Kowol Kit 
Published: November 2024

AbstractFollowing its defeat at the 2024 general election, the Conservative Party will likely look for lessons either in its past—specifically its successful response to Labour's landslide victory in 1945—or from sister parties overseas, notably the Australian Liberal Party. The article argues that Britain and the Conservative Party have changed so fundamentally since the end of the World War Two—and indeed since 1997—to make any comparison meaningless. Highlighting the growing ‘Australianisation’ of British and especially Tory politics in the last three decades, it suggests instead that the Conservative Party would be better looking ‘down under’ for a guide on how to respond, even though critical differences remain between the two countries.
Complications during extracorporeal membrane oxygenation transfer in Argentina: A multicenter observational study
Authors: Carrizo Nestor , Avila Rafael , Huespe Ivan , Perez Aracelly , Nuñez Renzo , Bauque Susana , Casabella Christian , Norese Mariano , Ivulich Daniel , Monzon Veronica , Pálizas Fernando , Villarroel Sonia 
Published: November 2024

AbstractBackgroundThere is a lack of documented cases regarding complications during ECMO transfer in middle‐income countries. Using portable ECMO devices facilitates patient transport but entails significantly higher costs, necessitating evidence of their practical utility. This study aims to describe complications during ECMO transfer in Argentina and to compare complication rates between the integrated portable ECMO and non‐portable ECMO systems.MethodsA multicenter observational retrospective study was conducted across four high‐complexity hospitals in Argentina. Patients over 18 years old who underwent ECMO transfer between January 2017 and July 2023 were included. Complications were classified based on the Ericsson severity classification, a widely accepted system that categorizes complications based on their severity and the need for immediate organ support. The effect of the ECMO systems (portable and non‐portable ECMO system) on complication rates was assessed using logistic regression weighted by inverse probability weighting (IPWT) analysis after propensity score assessment to adjust for confounders.ResultsThe study included 65 patients who were transferred for ECMO. Complications occurred in 40% (95%CI: 28%, 52%; n=26) of transfers, with grade 2 complications being the most prevalent at 20% (95%CI 11%, 32%; n=13). Integrated portable ECMO systems were associated with fewer complications during ECMO transfer, showing a crude OR of 0.25 (95%CI 0.08, 0.75), and after adjustment by IPWT, an OR of 0.27 (95%CI 0.08, 0.93).ConclusionsECMO transfers in middle‐income countries exhibit complication rates similar to those in high‐income countries. Our study found fewer complications in transfers using integrated portable ECMO systems and those involving distances exceeding 100 km. These findings suggest that the use of portable ECMO systems, despite their higher costs, may be beneficial in reducing complications during patient transport in middle‐income countries.
Unlocking flourishing at workplace: An integrative review and framework
Authors: Verma Rachna , Sekar Srinivasan , Mukhopadhyay Susmita 
Published: November 2024

AbstractThe concept of flourishing has garnered interdisciplinary attention, particularly within the realm of workplace research, given its relevance to individuals' daily lives. However, despite its growing importance, defining and measuring workplace flourishing remains challenging, often due to the adoption of generic life‐domain perspectives. This review addresses these challenges by synthesizing literature from work and life domains. We meticulously analyze 118 pertinent articles through an integrative review methodology, uncovering gaps in conceptualization, measurement, determinants, and outcomes of workplace flourishing. Our review introduces a new conceptual lens, focusing on the role of personal project pursuits in shaping flourishing. We also clarify the distinction between flourishing and thriving, providing much‐needed conceptual clarity. Additionally, the review presents an integrative framework that synthesizes determinants and outcomes of flourishing, offering a multitude of avenues for future exploration.
Butterfly community dynamics in a monoculture‐dominated agricultural landscape
Authors: Vujanović Dušanka , Arok Maja , Veselić Sanja , Skendžić Tea , Andrić Andrijana , Đorđević Aleksandra , Vujić Ante 
Published: November 2024

Abstract
Understanding biodiversity dynamics in agricultural landscapes is essential for promoting sustainable land use and conserving wildlife.
We examined butterfly communities in a monoculture‐dominated landscape, comparing remnant grassland sites surrounded by agricultural land (AGR), grasslands (GR), and forests (FOR). Data were collected from 30 sites across these three categories. We used non‐metric multidimensional scaling (NMDS) to assess community composition, rank abundance curves for community structure, and Hill numbers for alpha diversity. Generalised additive models (GAMs) identified key drivers of rare species richness and the abundance of the most common species, Coenonympha pamphilus.
Results showed a few dominant species, with most having low abundances. Species richness was similar across all site categories, but differences in evenness and species dominance highlighted variations in community structure. GR and FOR sites had higher numbers of both rare and abundant species, indicating a more balanced distribution compared to AGR sites. NMDS revealed significant differences in composition, especially between FOR and AGR. The GAM results showed that the combination of agricultural land and forest cover enhances rare species richness, while agricultural cover alone had a negative impact. Even for the most common species C. pamphilus, high agricultural cover negatively impacts its population but shifts positively when combined with greater vegetation height in adjacent grasslands.
These findings highlight the critical role of forest habitats within monoculture‐dominated landscapes in enhancing butterfly community diversity and stability. The adaptability of butterfly species to agricultural landscapes is limited to a small number of species and only up to a certain extent.
Generation of Monosomy 21q Human iPS Cells by CRISPR/Cas9‐Mediated Interstitial Megabase Deletion
Authors: Egawa Masaya , Uno Narumi , Komazaki Rina , Ohkame Yusuke , Yamazaki Kyotaro , Yoshimatsu Chihiro , Ishizu Yuki , Okano Yusaku , Miyamoto Hitomaru , Osaki Mitsuhiko , Suzuki Teruhiko , Hosomichi Kazuyoshi , Aizawa Yasunori , Kazuki Yasuhiro , Tomizuka Kazuma 
Published: November 2024

ABSTRACTMissing an entire chromosome or chromosome arm in normal diploid cells has a deleterious impact on cell viability, which may contribute to the development of specific birth defects. Nevertheless, the effects of chromosome loss in human cells have remained unexplored due to the lack of suitable model systems. Here, we developed an efficient, selection‐free approach to generate partial monosomy in human induced pluripotent stem cells (iPSCs). The introduction of Cas9 proteins and a pair of gRNAs induces over megabase‐sized interstitial chromosomal deletions. Using human chromosome 21 (HSA21) as a model, partial monosomy 21q (PM21q) iPSC lines with deletions ranging from 4.5 to 27.9 Mb were isolated. A 33.6 Mb deletion, encompassing all protein‐coding genes on 21q, was also achieved, establishing the first 21q monosomy human iPSC line. Transcriptome and proteome analyses revealed that the abundances of mRNA and protein encoded by the majority of genes in the monosomic regions are half of the diploid expression level, indicating an absence of dosage compensation. The ability to generate customized partial monosomy cell lines on an isogenic, karyotypically normal background should facilitate the gain of novel insights into the impact of chromosome loss on cellular fitness.
Building resilience in nursing through strategic policy interventions
Authors: Muhunthan Mathumesa , Olalia Mary Anne , Neretljak Sanja , Ezekiel Suzanne , Metersky Kateryna 
Published: November 2024

AbstractIn the context of a global nursing shortage, this paper explores the concept of resilience within the nursing profession, highlighting its implications for practice and policy on an international level. Although resilience is a vital concept for coping with stressors, we argue that placing the burden of resilience on individual nurses may obscure systemic issues that contribute to burnout and attrition. Resilience in nursing is a multifaceted concept that should be examined critically. Relying heavily on individual resilience may inadvertently perpetuate systemic issues and risk internalization of blame by nurses. Upon critical analysis of recent global statistics, this paper advocates for a shift toward collective resilience strategies, specifically, nurse participation in policy‐making. This approach not only addresses immediate workforce challenges but also reinforces the essential role of the nursing profession in shaping health and social policies, ensuring sustainable healthcare systems worldwide.
The impact of health policy and organisational models on Italian hospital productivity growth
Authors: Fulgenzi Rossana , Gitto Simone 
Published: November 2024

AbstractThe rapid increase in healthcare costs has drawn the attention of managers and policymakers towards regulating health expenditures: many countries have implemented deep reforms to improve efficiency and productivity in the provision of health services. In Italy, the central government has introduced austerity measures, called recovery plans, to force the administrative regions to reduce healthcare deficits. In this study, we first evaluate the impact of these recovery plans on hospitals’ productivity by calculating the Malmquist productivity index using data envelopment analysis. Next, we regress the obtained productivity index and its components on a set of explanatory variables to capture the impact of the austerity measures, the moderating role of the regional organisational models, the variation in hospitals’ size and management autonomy and the capital intensity. The data used to estimate productivity were for an extensive period – from 2006 to 2018. The results could contribute to assessing the increase in the productivity of hospitals and the influence of government policies on the same.
Identification and analysis of a cell communication prognostic signature for oral squamous cell carcinoma at bulk and single‐cell levels
Authors: Zhang Xingwei , Yang Fan , Dong Chen , Li Baojun , Zhang Shuo , Jiao Xiaohui , Chen Dong 
Published: November 2024

AbstractHead and neck squamous cancer (HNSC) is a heterogenous malignant tumour disease with poor prognosis and has become the current major public health concern worldwide. Oral squamous cell carcinoma (OSCC) is the majority of HNSC. It is still in lack of comprehensive tumour immune microenvironment analysis and prognostic model development for OSCC's clinic practice. Single‐cell sequencing data analysis was conducted to identify immune cell subtypes and illustrate cell–cell interaction status in OSCC via R package ‘Seurat’, ‘Harmony’, ‘elldex’ and ‘CellChat’. Base on the bulk sequencing data, WGCNA analysis was employed to identify the CD8+ T cell related gene module. XGBoost was used to construct the gene prognostic model for OSCC. Validation sets and immunotherapy data sets were analysed to further evaluate the model's effectiveness and immunotherapy responsiveness predicting potential. siRNA was used to down regulate FCRL4 expression. Real‐time PCR and Western blot were used to validate target gene expression. The effects of FCRL4 on OSCC cells were detected by wound healing, Trans well and clone formation assays. Communication between epithelial cells and tissue stem cells may be the potential key regulators for OSCC progression. By integrating single‐cell sequencing data analysis and bulk sequencing data analysis, we constructed a novel immune‐related gene prognostic model. The model can effectively predict the prognosis and immunotherapy responsiveness of OSCC patients. In addition, the effects of FCRL4 on OSCC cells were validated. We comprehensively interpreted the immune microenvironment pattern of OSCC based on the single‐cell sequencing data and bulk sequencing data analysis. A robust immune feature‐based prognostic model was developed for the precise treatment and prognosis evaluation of OSCC.
Advancing flood susceptibility prediction: A comparative assessment and scalability analysis of machine learning algorithms via artificial intelligence in high‐risk regions of Pakistan
Authors: Waleed Mirza , Sajjad Muhammad 
Published: November 2024

AbstractFlood susceptibility mapping (FSM) is crucial for effective flood risk management, particularly in flood‐prone regions like Pakistan. This study addresses the need for accurate and scalable FSM by systematically evaluating the performance of 14 machine learning (ML) models in high‐risk areas of Pakistan. The novelty lies in the comprehensive comparison of these models and the use of explainable artificial intelligence (XAI) techniques. We employed XAI to identify significant conditioning factors for flood susceptibility at both the model training and prediction stages. The models were assessed for both accuracy and scalability, with specific focus on computational efficiency. Our findings indicate that LGBM and XGBoost are the top performers in terms of accuracy, with XGBoost also excelling in scalability, achieving a prediction time of ~18 s compared to LGBM's 22 s and random forest's 31 s. The evaluation framework presented is applicable to other flood‐prone regions and highlights that LGBM is superior for accuracy‐focused applications, while XGBoost is optimal for scenarios with computational constraints. The findings of this study can assist in accurate FSM in different regions and can also assist in scaling up the analysis to a larger geographical region which could assist in better decision‐making and informed policy production for flood risk management.
Child Death and Mothers’ Subsequent Mental Health in a High‐Mortality African Community
Authors: Smith‐Greenaway Emily , Weitzman Abigail , Lungu Eric 
Published: November 2024

AbstractDespite declines in child mortality rates, experiencing a child death remains a common feature of motherhood in many contemporary African populations. Yet, we lack population insights into the consequences of child death for mothers’ well‐being in the high‐mortality regions where it concentrates. Contrasting an extensive psychology literature on the severe and long‐lasting consequences of child death for parents in low‐mortality settings, a long‐standing thesis in multiple social science literature is that the normativity of child death in high‐mortality settings can lead to a numbing effect—muting parents’ reactions to child loss. Yet, select anthropological accounts challenge this thesis, arguing instead that child death can also bear notable consequences for bereaved parents in communities where it is common. This study brings population data to bear, analyzing two representative samples of women in Balaka, Malawi, to examine if child death has measurable mental health consequences for mothers, including elevated and/or worsening depressive symptoms. Further, the study explores the potential influence of children's near‐death experiences on mothers. The results offer evidence that child loss—and the ever‐present threat of it—are underappreciated drivers of women's poor mental health, and overall well‐being.