bluuebunny/crossref_metadata_2025_split huggingface dataset:
Forecasting the potential of global marine shipping carbon emission under artificial intelligence based on a novel multivariate discrete grey model
Authors: Zeng Zirui , Xu Junwen , Zhou Shiwei , Zhao Yufeng , Shi Yansong 
Published: May 2024

PurposeTo achieve sustainable development in shipping, accurately identifying the impact of artificial intelligence on shipping carbon emissions and predicting these emissions is of utmost importance.Design/methodology/approachA multivariable discrete grey prediction model (WFTDGM) based on weakening buffering operator is established. Furthermore, the optimal nonlinear parameters are determined by Grey Wolf optimization algorithm to improve the prediction performance, enhancing the model’s predictive performance. Subsequently, global data on artificial intelligence and shipping carbon emissions are employed to validate the effectiveness of our new model and chosen algorithm.FindingsTo demonstrate the applicability and robustness of the new model in predicting marine shipping carbon emissions, the new model is used to forecast global marine shipping carbon emissions. Additionally, a comparative analysis is conducted with five other models. The empirical findings indicate that the WFTDGM (1, N) model outperforms other comparative models in overall efficacy, with MAPE for both the training and test sets being less than 4%, specifically at 0.299% and 3.489% respectively. Furthermore, the out-of-sample forecasting results suggest an upward trajectory in global shipping carbon emissions over the subsequent four years. Currently, the application of artificial intelligence in mitigating shipping-related carbon emissions has not achieved the desired inhibitory impact.Practical implicationsThis research not only deepens understanding of the mechanisms through which artificial intelligence influences shipping carbon emissions but also provides a scientific basis for developing effective emission reduction strategies in the shipping industry, thereby contributing significantly to green shipping and global carbon reduction efforts.Originality/valueThe multi-variable discrete grey prediction model developed in this paper effectively mitigates abnormal fluctuations in time series, serving as a valuable reference for promoting global green and low-carbon transitions and sustainable economic development. Furthermore, based on the findings of this paper, a grey prediction model with even higher predictive performance can be constructed by integrating it with other algorithms.
Driving ESG performance: CEO succession impact in European listed firms
Authors: Cambrea Domenico Rocco , Quarato Fabio , D'Allura Giorgia Maria , Paolone Francesco 
Published: May 2024

PurposeThe purpose of the paper is to examine the effect of chief executive officer (CEO) succession on environmental, social and governance (ESG) performance and whether the characteristics of the incoming CEO, in terms of both gender and career horizon, are able to affect the relationship between CEO succession and ESG score.Design/methodology/approachThe paper investigates a sample of European-listed companies between 2010 and 2021. Difference-in-difference and fixed-effects regressions are employed as the base empirical methodology. In addition, the robustness of the empirical findings is assessed by employing alternative methodologies and a different ESG proxy.FindingsThe empirical findings show the existence of a positive link between CEO succession and ESG performance and that this relationship is affected by two characteristics of the incoming CEO. Specifically, the empirical evidence indicates that the positive effect is magnified by the gender and the career horizon of the incoming CEO.Originality/valueConsidering the lack of research, this paper is the first one that opens a debate about the effects of CEO succession on corporate ESG performance in several European countries. By employing a unique sample of European listed firms, which has never been examined in other empirical research, this study highlights the importance of the demographic features of the incoming CEOs that should be taken into consideration during their selection process.
Association of dietary habits with non-communicable diseases: a qualitative review
Authors: Muraleedharan Manesh , P.A. Mounika , Chandak Alaka 
Published: May 2024

Purpose
Kerala, a southern state in India, is acknowledged for its socio-economic reforms such as quality health care, gender parity, high literacy rate and more. However, recent trends show that the state has the highest incidence of various noncommunicable diseases in the country, including diabetes, hypertension and heart coronary artery disease. This research paper aims to examine the link between the Kerala population’s lifestyle, diet and genetic factors and its correlation with a heightened cardio-metabolic risk.

Design/methodology/approach
Using Dixon Wood’s interpretive synthesis, this qualitative literature review is systematically used by searching, gathering articles, theme building, comparing and criticising the evidence.

Findings
The result shows that only minimal evidence is available regarding the genetic makeup of the Kerala community, food patterns and its link to the high prevalence of non-communicable diseases (NCDs). However, limited and contradicting evidence and studies restricted to a particular region in the state demand more research on this domain.

Originality/value
It is vital to review the diet habits of Keralites due to the alarmingly high prevalence of NCDs. To the best of the authors’ knowledge, this is the first comprehensive review of the diet habits of Kerala and their link to NCDs.
Unraveling the origins of construction rework: a holistic bibliometric analysis and exploration of causative factors
Authors: Gumusburun Ayalp Gulden , Erdem Eda Nur 
Published: May 2024

PurposeConstruction experts acknowledge the adverse effects of rework on project performance. However, the limited understanding of its underlying causes remains a significant challenge. Therefore, this study aimed to thoroughly investigate the sources of construction rework.Design/methodology/approachA mixed review using bibliometric analysis as a quantitative method and content analysis as a qualitative method was performed to understand the current knowledge in the field. The Web of Science (WoS) was selected for its comprehensive collection of major research articles and integrated analytical tools for generating representative data. The study involved an extensive bibliometric analysis of 107 journal articles on rework causes from 1991 to 2023. RStudio Bibliometrix, an R statistical programming package, was used to analyze rework origins. This method involved mapping the research landscape, identifying research gaps and analyzing emerging trends.FindingsThe causes of rework can be classified into three main clusters: human- and contractual-based rework causes, design-, quality- and project management-based rework causes and organizational-based rework causes.Originality/valueAlthough several studies have addressed rework causes from various perspectives and methods, the topic has not been investigated holistically. This study is the first to leverage the quantitative and qualitative analytical capabilities of the RStudio Bibliometrix package. Innovative approaches, including the use of metrics, such as the h-index, thematic mapping and trend topic analysis, were employed for a comprehensive understanding of rework causes.
Strategic interventions for bridging the design-reality gap in property conferment rights: a case study of India’s ambitious initiative
Authors: Pandey Jitendra Kumar 
Published: May 2024

PurposeThis research aims to assess how well the e-governance initiative aligns with its design expectations and on-ground realities for property management to redevelop Delhi, the mega-city of India. Additionally, the study proposes strategic interventions to address any gaps identified, aiming to improve the project’s effectiveness and success.Design/methodology/approachThe research employs a singular exploratory case study methodology to scrutinise the e-governance initiative undertaken by the Government of India to confer property rights. Specifically, the study utilises a qualitative research approach known as design-reality gap (DRG) analysis. The study draws from primary and secondary sources using a mixed-methods data collection strategy. Primary data are gathered through a purposeful and snowball sampling method involving direct engagement with respondents, whilst secondary data are sourced from the project portal.FindingsThe investigation reveals a substantial disparity between the planning and execution phases of e-governance projects. This incongruity predominantly manifests in the domains of process, staffing and skills, as well as objectives and values. The study further finds that strategic collaboration amongst stakeholders and the sustainability of decisions are the most critical factors in ensuring the success of e-governance initiatives and bridging the DRG of e-governance projects.Research limitations/implicationsThis research highlights the complex challenges faced by e-governance projects in technical, human and organisational aspects. The successful implementation and sustainability of these projects require effective strategies to overcome challenges, which management should proactively identify and act on. To improve services, beneficiaries should be encouraged to provide feedback and suggestions, as they play a crucial role in service enhancement. A dynamic feedback loop would be established by creating a two-way interaction between beneficiaries and service providers, leading to iterative service improvement. It is important to note that the study’s findings are more illustrative than conclusive due to the moderate sample size, reflecting its limitations.Originality/valueThe research contributes to the scholarly discourse on e-governance and policy implementation by comprehensively examining the alignment between conceptual design and real-world execution. It also introduces a normalised scale for the DRG framework, mapping its dimensions to deduce specific outcomes. This innovative approach enhances the research’s originality and value, offering insights applicable in both academic and practical domains.
Background food influences rate of encounter and efficacy of rodenticides in wild house mice
Authors: Brown Peter R. , Henry Steve , Hinds Lyn A. , Robinson Freya , Duncan Richard P. , Ruscoe Wendy A. 
Published: May 2024

Abstract

Baiting is widely used in wildlife management for various purposes, including lethal control, fertility control, disease and parasite control, and conditioned aversion programs for many invasive vertebrate species. The efficacy of baiting programs relies on the likelihood that target animals will encounter the bait, consume it and receive an appropriate dose of the active ingredient. However, there has been little focus on encounter rate of toxic baits combined with behavioural aversion, which are likely to be significant factors affecting efficacy.

Following optimal foraging theory, the likelihood of an animal encountering and consuming a toxic grain bait should increase in proportion to its availability relative to background food quantity if it is neither more or less detectable or palatable. Furthermore, the probability of consuming toxic baits might also be influenced by bait aversion following ingestion of a non‐lethal dose of toxin.

Using a model system of wild house mice (Mus musculus L.) in mouse‐proof enclosures in Australia, we manipulated background food, applied zinc phosphide (Zn3P2) baits and measured mouse mortality. When background food was scarce, mouse mortality was high, whereas an increasing abundance of background food led to reduced mortality. A scenario modelling random encounters and including bait aversion explained 78% of the variation in observed mortality outcomes and achieved a closer fit to the data than modelling random encounters alone. Mortality rates were predicted to be higher with a higher strength bait, which would overcome behavioural aversion.

Ensuring that animals locate and consume a lethal dose of toxic bait is a critical factor for successful bait delivery and efficacy. This is particularly significant in toxic baiting programs, where sublethal doses can make animals feel sick, leading to a negative association with the bait, and the development of aversion.

Synthesis and applications: Our findings explain why some toxic baiting programs might fail. To achieve successful control, efforts should be directed at reducing the availability of background food to increase the probability of encounter and uptake of toxic baits. It is important to measure and understand the role of background food on toxic baiting programs to explain variable outcomes and inform strategies for successful bait delivery.
The Human Body is the Collective Unconscious: Archetypal Images as Innate Embodied Metaphors
Authors: Goodwyn Erik 
Published: May 2024

AbstractFor a significant part of its history, archetype theory has been undermined by criticisms containing unexamined Cartesian assumptions. Such assumptions treat all cognition as disembodied, consisting of mere manipulation of abstract, inherently meaningless signs mimicked from verbal instruction or cultural learning. Since the 1980s, due to the results of many independent disciplines, however, this view is being replaced with one of embodied cognition. This shift has important consequences for archetype theory, allowing us to provide a non‐reductive biological anchor that explains many characteristics of the archetypal image.
To wear or not to wear, was that the question? Understanding citizen responses to COVID‐19 crisis management in social media across Europe
Authors: Liste Lucia , Johnson Victoria , Costa Sara , Karlsen André 
Published: May 2024

AbstractThis study aims to gain qualitative insights about and compare public responses to COVID‐19 crisis management during the different pandemic phases and across three countries—Norway, Sweden and Italy. To do so, we have carried out a qualitative content analysis of a selection of 2606 tweets containing the term ‘face mask’ in Italian, Norwegian, and Swedish published between March 1, 2020 and June 31, 2022. The article combines risk society theses with social practice theory as a lens through which to examine public responses to crisis management. Analyzing the data from Norway, Sweden, and Italy, this article discusses the extent to which individualism, reflexive modernization, and cosmopolitanism account for citizen responses to authority's crisis management efforts in each of the countries during the different phases of the pandemic. Findings highlight the crucial role of socio‐cultural contexts that shape citizen responses to crisis management over time, showcasing a spectrum of attitudes ranging from scepticism and critique to trust and compliance. This comparative analysis underscores the importance of considering the dynamic interplay between criticism and support, individualism and collectivism, as well as global and local experiences in understanding diverse and situated societal responses to crisis management during a global pandemic. The article also points to social media as a meaningful arena where individuals and groups share information and participate in discussions that shape collective views, thus having a significant role in shaping citizen responses to COVID‐19 crisis management and influencing decision‐making.
Liquid biopsy for molecular characterization of diffuse large B‐cell lymphoma and early assessment of minimal residual disease
Authors: Alcoceba Miguel , Stewart James P. , García‐Álvarez María , Díaz Luis G. , Jiménez Cristina , Medina Alejandro , Chillón M. Carmen , Gazdova Jana , Blanco Oscar , Díaz Francisco J. , Peñarrubia María J. , Fernández Silvia , Montes Carlos , Cabero Almudena , Caballero María D. , García‐Sanz Ramón , González Marcos , González David , Tamayo Pilar , Gutiérrez Norma C. , García‐Sancho Alejandro Martín , Sarasquete M. Eugenia 
Published: May 2024

SummaryCirculating tumour DNA (ctDNA) allows genotyping and minimal residual disease (MRD) detection in lymphomas. Using a next‐generation sequencing (NGS) approach (EuroClonality‐NDC), we evaluated the clinical and prognostic value of ctDNA in a series of R‐CHOP‐treated diffuse large B‐cell lymphoma (DLBCL) patients at baseline (n = 68) and after two cycles (n = 59), monitored by metabolic imaging (positron emission tomography combined with computed tomography [PET/CT]). A molecular marker was identified in 61/68 (90%) ctDNA samples at diagnosis. Pretreatment high ctDNA levels significantly correlated with elevated lactate dehydrogenase, advanced stage, high‐risk International Prognostic Index and a trend to shorter 2‐year progression‐free survival (PFS). Valuable NGS data after two cycles of treatment were obtained in 44 cases, and 38 achieved major molecular response (MMR; 2.5‐log drop in ctDNA). PFS curves displayed statistically significant differences among those achieving MMR versus those not achieving MMR (2‐year PFS of 76% vs. 0%, p < 0.001). Similarly, more than 66% reduction in ΔSUVmax by PET/CT identified two subgroups with different prognosis (2‐year PFS of 83% vs. 38%; p < 0.001). Combining both approaches MMR and ΔSUVmax reduction, a better stratification was observed (2‐year PFS of 84% vs. 17% vs. 0%, p < 0.001). EuroClonality‐NDC panel allows the detection of a molecular marker in the ctDNA in 90% of DLBCL. ctDNA reduction at two cycles and its combination with interim PET results improve patient prognosis stratification.
Evaluation of European LeukemiaNet 2022 risk classification in patients undergoing allogeneic haematopoietic stem cell transplantation for acute myeloid leukaemia: Identification of a very poor prognosis genetic group
Authors: Jiménez‐Vicente Carlos , Charry Paola , Castaño‐Diez Sandra , Guijarro Francesca , López‐Guerra Mònica , Pérez‐Valencia Amanda Isabel , Martinez‐Roca Alexandra , Cortés‐Bullich Albert , Munárriz Daniel , Solano Maria Teresa , Rosiñol Laura , Carreras Enric , Urbano‐Ispizua Álvaro , Fernández‐Avilés Francesc , Martinez Carmen , Suárez‐Lledó María , Díaz‐Beyá Marina , Rovira Montserrat , Salas María Queralt , Esteve Jordi 
Published: May 2024

SummaryEuropean LeukemiaNet refined their risk classification of acute myeloid leukaemia (AML) in 2022 (ELN 2022) according to the two new myeloid classifications published the same year. We have retrospectively assessed the prognostic value of the ELN 2022 in 120 AML patients undergoing allogeneic haematopoietic cell transplantation (allo‐HCT), including 99 in first complete response (CR1) from 2011 to 2021 in our centre. Adverse risk patients (Adv) presented inferior outcome in terms of overall survival (OS) and leukaemia‐free survival (LFS) (OS [p = 0.003], LFS [p = 0.02]), confirmed in multivariate analysis (hazard ratio [HR] for OS = 2.00, p = 0.037). These results were also seen in patients allografted in CR1. Further analysis identified a subgroup named adverse‐plus (AdvP), including complex karyotype, MECOM(EVI1) rearrangements and TP53 mutations, with worse outcomes than the rest of groups of patients, including the Adv (HR for OS: 3.14, p < 0.001, HR for LFS: 3.36, p < 0.001), with higher 2‐year cumulative incidence of relapse (p < 0.001). Notably, within this analysis, the outcome of Adv and intermediate patients were similar. These findings highlight the prognostic value of ELN 2022 in patients undergoing allo‐HCT, which can be improved by the recognition of a poor genetic subset (AdvP) within the Adv risk group.
Twice‐weekly induction with ixazomib–lenalidomide–dexamethasone (IRd) combination followed by extended IRd consolidation and lenalidomide maintenance in transplant‐eligible patients with newly diagnosed multiple myeloma: Results of the phase 2 study IFM2014‐03
Authors: Perrot Aurore , Roussel Murielle , Lauwers‐Cances Valerie , Hulin Cyrille , Leleu Xavier , Touzeau Cyrille , Facon Thierry , Mariette Clara , Schiano Jean‐Marc , Gay Julie , Montes Lydia , Ranta Dana , Huguet Amandine , Wuillème Soraya , Dejoie Thomas , Devlamynck Laure , Corre Jill , Avet‐Loiseau Hervé , Moreau Philippe , Attal Michel 
Published: May 2024

SummaryTherapeutic strategies for patients with newly diagnosed multiple myeloma (NDMM) have considerably improved during the last 10 years. The IFM2014‐03 trial proposed an all‐oral triplet induction/consolidation regimen in transplant‐eligible NDMM patients, followed by lenalidomide maintenance. Induction consisted of three 21‐day cycles of ixazomib, lenalidomide and dexamethasone (IRd), before high‐dose Melphalan with transplant followed by eight 28‐day cycles of IRd consolidation before 13 cycles of lenalidomide maintenance. Forty‐six patients were enrolled and received at least one dose of therapy, and 39 entered the maintenance phase. The primary end‐point was stringent complete response after consolidation, and was achieved in nine patients (20.9%, 90% CI 11.4–33.7; p = 0.998). Ten patients (24.4%) had an undetectable minimal residual disease. The overall response rate was 95.7%. The 3‐year progression‐free survival was 66.3%. No unexpected toxicities were recorded, and only eight patients suspended from any study drug. Of note, 21 (45.7%) patients reported peripheral neuropathy (PN) (grades 1–2 with no serious adverse events). IRd induction and consolidation with transplant before lenalidomide maintenance shows lower response rates compared to other triplet therapies. It could be an alternative for patients who require an all‐oral regimen and/or with pre‐existent PN, especially if quadruplet regimens including anti‐CD38 antibody are not available.
Pronociceptive role of spinal Cav2.3 (R‐type) calcium channels in a mouse model of postoperative pain
Authors: Ferreira Marcella de Amorim , Lückemeyer Debora Denardin , Martins Fernanda , Schran Roberta Giusti , da Silva Ana Merian , Gambeta Eder , Zamponi Gerald W. , Ferreira Juliano 
Published: May 2024

AbstractBackgroundMore than 80% of patients may experience acute pain after a surgical procedure, and this is often refractory to pharmacological intervention. The identification of new targets to treat postoperative pain is necessary. There is an association of polymorphisms in the Cav2.3 gene with postoperative pain and opioid consumption. Our study aimed to identify Cav2.3 as a potential target to treat postoperative pain and to reduce opioid‐related side effects.Experimental ApproachA plantar incision model was established in adult male and female C57BL/6 mice. Cav2.3 expression was detected by qPCR and suppressed by siRNA treatment. The antinociceptive efficacy and safety of a Cav2.3 blocker—alone or together with morphine—was also assessed after surgery.Key ResultsPaw incision in female and male mice caused acute nociception and increased Cav2.3 mRNA expression in the spinal cord but not in the incised tissue. Intrathecal treatment with siRNA against Cav2.3, but not with a scrambled siRNA, prevented the development of surgery‐induced nociception in both male and female mice, with female mice experiencing long‐lasting effects. High doses of i.t. SNX‐482, a Cav2.3 channel blocker, or morphine injected alone, reversed postoperative nociception but also induced side effects. A combination of lower doses of morphine and SNX‐482 mediated a long‐lasting reversal of postsurgical pain in female and male mice.ConclusionOur results demonstrate that Cav2.3 has a pronociceptive role in the induction of postoperative pain, indicating that it is a potential target for the development of therapeutic approaches for the treatment of postoperative pain.