bluuebunny/crossref_metadata_2025_split huggingface dataset:
Innovation capability as a mediator of the relation between talent management and entrepreneurial firm performance
Authors: Panya Fuangfa , Petchsawang Pawinee 
Published: October 2024

PurposeThe study aims to investigate innovation capability as a mediator in the relationship between talent management (TM) and entrepreneurial firm performance in Micro, Small and Medium Enterprises (MSMEs) in Thailand based on employer perceptions.Design/methodology/approachA questionnaire survey was completed by 674 MSMEs in Thailand, both directly and online. Four hypotheses were tested using structural equation modelling (SEM).FindingsThe results demonstrated that TM has a significant and positive influence on innovation capability, but no evidence was found for a positive relationship between TM and entrepreneurial firm performance. However, innovation capability positively influences entrepreneurial firm performance, and it fully mediates the positive relationship between TM and entrepreneurial firm performance. These results suggest that TM can enhance entrepreneurial firm performance if it is implemented with effective innovation capability.Research limitations/implicationsThe SEM model was employed with a limited number of enterprises, so the sample cannot represent the full population, as there are more than three million MSMEs in Thailand. More countries and factors should be incorporated into the model.Practical implicationsThe owner-managers and HR practitioners of MSMEs can utilise the study results to develop talent strategies and innovative interventions that will enhance their firm’s performance.Social implicationsThis study thus aims to strengthen the capacities of MSME entrepreneurs and policymakers to elevate inclusive innovation capability in MSMEs and to also accelerate progress towards the Sustainable Development Goals (SDG); innovation is one of the three important aspects of SDG9.Originality/valueThe study contributes by filling the research gap related to TM in the MSME business and enterprise development literature, and it aids in creating innovation capability to increase effective investments in TM.
Constructing and co-authoring controller’s practice through cloud technologies: the case of IKEA Italy
Authors: Cinquini Lino , Leotta Antonio , Rizza Carmela , Ruggeri Daniela , Tenucci Andrea , Messina Mariastella 
Published: October 2024

Purpose
The purpose of this paper is to explore how the controller’s practice is constructed through the use of cloud technologies. Thus, the authors explore the possibilities that cloud technologies offer and how, through these technologies, actors can co-author a process that leads them to relate themselves to the world.

Design/methodology/approach
The authors adopt pragmatic constructivism to investigate the construction of the controller’s practice through cloud technologies. Drilling down to a single case study, they chose two IKEA stores in Italy to ascertain, through interviews, how the controller’s practice has changed since switching to a cloud-based information management platform.

Findings
This case evidence sheds light on how cloud technologies help to construct the controller’s practice. Managers' interactions are now partly governed and partly supported by information in the cloud. Workers can collect and share data, promoting knowledge production at a range of organisational levels.

Originality/value
This paper contributes to studies on the hybrid nature of management control practice. The authors underline how using cloud technologies helps to construct controller’s practice. More specifically, using cloud technologies allows the controller to orchestrate a co-authoring process through which managers integrate facts, possibilities, values and communication to form a functioning construct causality. Overall, the result is better support for decision-making.
Numerical simulation of thermal and stress fields for multilayer and multi-pass weaving WAAM of magnesium alloy
Authors: Zhang Fan , Shen Junqi , Hu Shengsun , Geng Hui , Wang Shunxing 
Published: October 2024

Purpose
A 3D finite element (FE) model based on the double ellipsoidal heat source was developed to investigate the evolution of temperature and stress fields during the multilayer and multi-pass wire and arc additive manufacturing (WAAM) process. This paper aims to investigate the evolution of temperature and stress fields during the multilayer and multi-pass wire and arc additive manufacturing (WAAM) process by developing a 3D finite element (FE) model based on the double ellipsoidal heat source.

Design/methodology/approach
Experimental thermal cycle curves and residual stresses were obtained by thermocouples and X-ray diffraction, respectively. The validity of the model was verified by the corresponding experimental results.

Findings
The deposition process of the upper pass led to the partial remelting of the lower deposited pass. The thermal process of the current-deposited pass alleviated the stress concentration in the previous-formed passes. A more uniform temperature distribution could be obtained by using the reciprocating deposition path. Compared to the reciprocating deposition path, the peak values of the transverse and longitudinal tensile residual stresses of the deposited sample under the unidirectional deposition path were reduced by 15 MPa and increased by 13 MPa, respectively. The heat conduction in the deposited passes could be improved by extending the inter-pass cooling time appropriately. With an increase in the inter-pass cooling time, the longitudinal residual stress in the middle region of sample along longitudinal and transverse directions showed increase and decrease–increase trends, respectively, while the transverse residual stress exhibited decrease trend.

Originality/value
This study enhances the understanding of temperature and stress fields evolution during the multilayer and multi-pass cold metal transfer-WAAM processes of magnesium alloy and provides the reference for parameter optimization.
Innovative approaches to social impact measurement: a focus on the potential of artificial intelligence solutions
Authors: Abad-Itoiz Nerea , Solórzano-García Marta , Hernández-Marí Daniel 
Published: October 2024

Purpose
The existing literature highlights challenges in measuring social impact within social and solidarity economy organisations, particularly regarding the social return on investment (SROI) methodology. This paper aims to address the barriers to SROI implementation while exploring the potential of artificial intelligence (AI) in enhancing the measurement of social impact.

Design/methodology/approach
This review-based paper synthesises research on SROI methodology limitations and recent AI developments while focusing on ethical considerations. Drawing from these domains, the study constructs a conceptual framework to guide future research.

Findings
The study identifies necessary enhancements to existing AI systems for social impact measurement and explores how advances in generative AI could refine current tools and address SROI constraints. It advocates for open AI models to address ethical concerns.

Originality/value
This study pioneers the integration of social impact assessment and AI, an innovative intersection in the academic literature. The growing disparity between academia and the rapidly evolving AI industry is highlighted and scholarly discourse is enriched through theoretical deliberations and innovative technological solutions.
Spesolimab, the first‐in‐class anti‐IL‐36R antibody: From bench to clinic
Authors: Morita Akimichi , Okubo Yukari , Imafuku Shinichi , Terui Tadashi 
Published: October 2024

AbstractInflammatory diseases that are driven by several pro‐inflammatory cytokines has resulted in in the development of targeted therapies across different disease settings. Interleukin (IL)‐36 cytokines have been implicated in several inflammatory diseases. In this review we describe the scientific evidence surrounding the use of the IL‐36 receptor (IL‐36R)‐targeting antibody, spesolimab, in IL‐36‐mediated skin diseases: generalized pustular psoriasis (GPP), palmoplantar pustulosis (PPP), hidradenitis suppurativa, and Netherton syndrome (NS). Spesolimab, a high affinity, specific, humanized, antagonistic immunoglobulin G1 antibody, targets the IL‐36R at a binding site distinct from its agonists, IL‐36α/β/γ, and at least one endogenous antagonist, IL‐36R antagonist. In vitro and in vivo data for spesolimab show effective inhibition of IL‐36R‐mediated signaling pathways, and six Phase I studies in healthy volunteers presented a favorable safety and pharmacokinetic (PK) profile, leading to the development of a clinical trial program to evaluate spesolimab in the treatment of IL‐36R‐mediated diseases. Six studies (including an expanded access program) have evaluated the efficacy, safety, PKs, and pharmacogenomics of spesolimab in patients with GPP flares. Spesolimab treatment of GPP flares resulted in rapid and sustained improvements in pustular and skin clearance, and clinically significant improvements in patient‐reported symptoms and quality of life. Spesolimab also significantly reduces the risk of GPP flares and flare occurrence, preventing disease worsening and has a favorable safety profile. There have been three trials of spesolimab in PPP; further evaluation is needed to better define those patients who might benefit from the treatment. A trial of spesolimab in NS is ongoing, while other spesolimab trials suggest that IL‐36 may only play a secondary role in the pathogenesis of atopic dermatitis. In conclusion, research into spesolimab has provided much needed insight into the role of IL‐36 in the human immune system and the mechanism behind IL‐36‐mediated inflammatory diseases. Spesolimab provides an efficacious targeted treatment for GPP, a disease with a high unmet medical need.
The Contribution of Hypertensive Disorders of Pregnancy to Neonatal Unit Admissions and Iatrogenic Preterm Delivery at < 34+0 Weeks' Gestation in the UK: A Population‐Based Study Using the National Neonatal Research Database
Authors: Conti‐Ramsden Frances , Fleminger Jessica , Lanoue Julia , Chappell Lucy C. , Battersby Cheryl ,   the UK Neonatal Collaborative
Published: October 2024

ABSTRACTObjectivesThe objectives of this study were to (i) quantify the contribution of maternal hypertensive disorders of pregnancy (HDP) to iatrogenic preterm birth (PTB) and neonatal unit (NNU) admissions < 34+0 weeks and (ii) describe short‐term population‐level outcomes for HDP infants, exploring ethnic disparities and comparing outcomes by HDP exposure.DesignRetrospective population‐based study using the National Neonatal Research Database.SettingEngland and Wales.PopulationInfants born < 34+0 weeks and admitted to NNU 2012–2020.MethodsDescriptive statistics, linear and logistic regression models to compare outcomes between groups.Main Outcome MeasuresSurvival to discharge with/without comorbidity.Results122 228 infants met inclusion criteria. Where collected, 49 839/114 164 (43.7%, 95% CI 43.4%–43.9%) of infants had an iatrogenic PTB. HDP was recorded in 16 510/122 228 (13.5%) of all infants and 13 560/49 839 (27.2%) of iatrogenic PTBs. HDP and/or foetal growth restriction (FGR) were recorded in 24 124/49 839 (48.4%) of iatrogenic PTBs. Singleton HDP infants < 10th BWC had ≥ 90% survival to discharge from 28 weeks' gestation, versus from 26 weeks' gestation for those born ≥ 10th BWC. In extreme preterm HDP infants (< 27 weeks), 27.3% of infants < 10th BWC died compared to 15.2% of those ≥ 10th BWC. Survival without comorbidity was ≥ 90% from 32 weeks' gestation in HDP infants across BWC.ConclusionsThese contemporaneous population‐level data show that almost one in two PTB < 34+0 weeks' gestation are iatrogenic, with HDP and/or FGR being the major contributors to iatrogenic prematurity. This has substantial implications for strategies to reduce preterm birth in the UK and internationally. The data further inform antenatal and at‐birth counselling of HDP‐exposed infants.
Job competition in civil service public exams and sick leave behaviour
Authors: Armijos Bravo Grace , Vall Castelló Judit 
Published: October 2024

AbstractIn several countries, a traditional public exam system is the way to secure a job in the civil service. In this setting, candidates have to take and pass exams that involve studying large quantities of material, and this takes up a large amount of time. Candidates who are working while preparing for public exams may find it difficult to find time for both tasks. Thus, they might experience increased stress/anxiety related to the high stakes nature of the civil service recruitment process. In this paper, we investigate the impact of new openings for civil service positions on sickness absences. Using a unique administrative data set on the universe of sickness absences and civil service positions offered in Spain from 2009 to 2015, we find a significant increase in health‐related absences several months before the exam date. In particular, this effect is stronger for individuals working in the educational sector as well as for calls offering a large number of positions. An important element is that our results are mostly driven by stress‐related absences. To corroborate the health‐related origins of our results, we use data on visits to general practitioners and specialists and show a significant deterioration in the health of public‐sector workers. Our results are important from a policy perspective as they highlight the existence of important negative consequences of the civil service recruitment process that have been previously overlooked.
Trade‐offs and synergies: Examining the impact of natural resource rents and energy efficiency on financial development in the RCEP context
Authors: Tang Yuhong , Imran Muhammad 
Published: October 2024

AbstractThis study investigates the complex interplay between financial and economic development within the Regional Comprehensive Economic Partnership (RCEP) countries—Australia, China, Indonesia, Japan, and South Korea—from 2000 to 2022, with a focus on the impacts of natural resource rents and energy efficiency. Employing moment quantile regression to address non‐normal data distribution identified by the Jarque–Bera (JB) test, we unveil diverse slopes and cross‐sectional interdependencies, necessitating a nuanced examination. Panel unit root tests confirm non‐stationarity, enabling a thorough investigation. Our findings reveal a long‐term cointegration relationship between natural resource rents, energy efficiency, economic development, and foreign direct investment (FDI), providing a holistic understanding of their dynamics. Notably, our analysis exposes the trade‐off between natural resource abundance and financial growth, as evidenced by negative coefficients for natural resource rents, while positive coefficients for economic growth, energy efficiency, and FDI counterbalance this effect, fostering a conducive financial environment. Additionally, our examination of location and scale characteristics unveils vulnerabilities associated with natural resources alongside stability indicators linked to economic growth, energy efficiency, and FDI. By employing quantile regression, our study sheds light on the nuanced impacts of natural resources, offering valuable insights for policymakers and researchers in navigating sustainable financial development within the RCEP framework.
Prediction models incorporating second metacarpal cortical index for osteoporosis in rheumatoid arthritis: Externally validated machine learning models developed using data from the KURAMA cohort
Authors: Saito Ryohei , Fujii Takayuki , Murata Koichi , Onishi Akira , Murakami Kosaku , Tanaka Masao , Ohmura Koichiro , Yasuda Tadashi , Morinobu Akio , Matsuda Shuichi 
Published: October 2024

AbstractObjectiveOsteoporosis and osteopenia are significant concerns in rheumatoid arthritis (RA), predisposing patients to fragility fractures. While dual‐energy X‐ray absorptiometry (DXA) is the gold standard for bone mineral density (BMD) assessment, simpler screening tools are needed. This study aims to assess the correlation between the second metacarpal cortical index (2MCI) and BMD in RA patients, and to evaluate machine learning (ML) models utilizing 2MCI and clinical parameters for predicting osteoporosis/osteopenia presence and BMD.MethodsData from the KURAMA cohort (n = 302) and an external validation cohort (n = 32) were analyzed. BMD in the hip and forearm was obtained using DXA and 2MCI was calculated from plain hand X‐ray. ML models were trained to predict osteoporosis/osteopenia presence and BMD using 2MCI and clinical variables and validated using external cohort.Results2MCI correlated significantly with hip and forearm BMD. ML models incorporating 2MCI and other clinical parameters showed good performance in predicting osteoporosis/osteopenia presence and BMD. External validation demonstrated the generalizability of the models.ConclusionML models utilizing 2MCI and clinical parameters show promise for osteoporosis screening in RA patients.
SimpleMetaPipeline: Breaking the bioinformatics bottleneck in metabarcoding
Authors: Williams Jake , Pettorelli Nathalie , Dowell Rosalie , Macdonald Kenneth , Meyer Christopher , Steyaert Margaux , Tweedt Sarah , Ransome Emma 
Published: October 2024

Abstract

The democratisation of next‐generation sequencing has vastly increased the availability of sequencing data from metabarcoding. However, to effectively prepare these metabarcoding data for subsequent analysis, researchers must consistently apply several different bioinformatic tools—including those which denoise reads, cluster sequences and assign taxonomic identities. This often creates a bioinformatics bottleneck in workflows for non‐specialists due to obstacles around: (a) integrating different tools, (b) the inability to easily modify and rerun bioinformatic pipelines involving non‐scripted (‘point‐and‐click’) elements and (c) the multiple outputs that may be required of a single dataset (e.g. amplicon sequence variants [ASVs] and operational taxonomic units [OTUs]), which often results in users running pipelines multiple times.

Here, we introduce SimpleMetaPipeline, an open‐source bioinformatics pipeline implemented in R, which addresses these obstacles. SimpleMetaPipeline integrates the most robust and commonly used existing bioinformatic tools in a single reproducible pipeline, with a streamlined choice of parameters, to generate a sequence data table containing alternative clustering and assignment options. SimpleMetaPipeline accepts demultiplexed paired‐end and single reads from multiple sequencing runs.

We describe the pipeline and demonstrate how alternative annotations enable the easy implementation of multi‐algorithm agreement tests to strengthen inferences.

SimpleMetaPipeline represents a valuable addition to the existing library of pipelines, providing easy and reproducible bioinformatics, including a range of commonly desired clustering and assignment options, such as OTUs and ASVs.
Two Anthropomorphic Stelae Connected With a Platform‐Like Structure in the Area of Ḥimā (Saudi Arabia): New Data From Southwestern Arabia
Authors: Lischi Silvia , Haquet Jérôme‐François , Schiettecatte Jérémie , Prioletta Alessia 
Published: October 2024

ABSTRACTSince 2020, the Saudi‐French Archaeological and Epigraphic Mission to Najrān (MAFSN) has been conducting additional archaeological surveys and small‐scale excavations in the Ḥimā area, providing a wealth of data from different historical periods. Preliminary analysis of the structures and artefacts discovered revealed a complex landscape characterised by patterns of continuous human activity from the Palaeolithic to modern times, underlining the historical importance of this area as a transit hub along the caravan routes. The identification of various structures has made it possible to establish a basic typology and enabled a distribution study of the human presence, allowing comparisons with neighbouring regions. This paper presents the discovery of two anthropomorphic stelae associated with a platform‐like structure excavated in November 2021 on the eastern side of Jabal al‐Kawkab, al‑Gharaziyyāt area. The documentation of these stelae lays the groundwork for a re‐evaluation of the Bronze Age occupation of the area.
Cockayne syndrome B protein is implicated in transcription and associated chromatin dynamics in homeostatic and genotoxic conditions
Authors: Liakos Anastasios , Ntakou‐Zamplara Katerina Z. , Angelova Nelina , Konstantopoulos Dimitris , Synacheri Anna‐Chloe , Spyropoulou Zoi , Tsarmaklis Iason A. , Korrou‐Karava Despoina , Nikolopoulos Georgios , Lavigne Matthieu D. , Fousteri Maria 
Published: October 2024

AbstractThe integrity of the actively transcribed genome against helix‐distorting DNA lesions relies on a multilayered cellular response that enhances Transcription‐Coupled Nucleotide Excision Repair (TC‐NER). When defective, TC‐NER is causatively associated with Cockayne‐Syndrome (CS), a rare severe human progeroid disorder. Although the presence of unresolved transcription‐blocking lesions is considered a driver of the aging process, the molecular features of the transcription‐driven response to genotoxic stress in CS‐B cells remain largely unknown. Here, an in‐depth view of the transcriptional and associated chromatin dynamics that occur in CS‐B cells illuminates the role of CSB therein. By employing high‐throughput genome‐wide approaches, we observed that absence of a functional CSB protein results in a delay in transcription progression, more positioned +1 nucleosomes, and less dynamic chromatin structure, compared to normal cells. We found that early after exposure to UV, CS‐B cells released RNA polymerase II (RNAPII) from promoter‐proximal pause sites into elongation. However, the magnitude of this response and the progression of RNAPII were reduced compared to normal counterparts. Notably, we detected increased post‐UV retainment of unprocessed nascent RNA transcripts and chromatin‐associated elongating RNAPII molecules. Contrary to the prevailing models, we found that transcription initiation is operational in CS‐B fibroblasts early after UV and that chromatin accessibility showed a marginal increase. Our study provides robust evidence for the role of CSB in shaping the transcription and chromatin landscape both in homeostasis and in response to genotoxic insults, which is independent of its known role in TC‐NER, and which may underlie major aspects of the CS phenotype.
A retrospective evaluation of SwePEWS use in paediatric patients with COVID‐19 and RSV infection
Authors: Bodlund Julia , Wimmerdahl Albin , Honoré Antoine , Härenstam Karin Pukk , Forsberg David 
Published: October 2024

AbstractAimAs early detection of deterioration is a challenge in children, the Swedish Paediatric Early Warning Score (SwePEWS) is used to systematically assess paediatric patients' clinical state. Here, we aimed to evaluate the use and predictive ability of SwePEWS.MethodsElectronic health records of paediatric patients admitted due to respiratory syncytial virus infection or COVID‐19 were reviewed retrospectively. Registered vital signs were compared to the assigned SwePEWS score and monitored vital sign values to identify discrepancies. Additionally, SwePEWS's ability to predict transfer to the paediatric intensive care unit (PICU) was assessed.ResultsAmong 1374 SwePEWS assessments, one‐third were either incomplete or contained errors. Incomplete SwePEWS assessments were more frequent during night‐time. Single measurements of oxygen saturation presented lower values compared to average saturation from continuous monitoring. SwePEWS's ability to predict PICU transfer was low.ConclusionThere was a surprisingly high occurrence of underestimated SwePEWS scores. This study provides new insights into pitfalls when developing and implementing paediatric early warning scores for systematic re‐evaluations in paediatric patients.