bluuebunny/crossref_metadata_2025_split huggingface dataset:
Occupational Well-Being Profiles and Learning Climate as an Organizational Resource: A Latent Transition Analysis
Authors: Lehtiniemi Katariina , Tolvanen Asko , Rantanen Johanna , Feldt Taru 
Published: October 2024

AbstractThe aim of the present longitudinal study was to profile the occupational well-being (burnout, work engagement) of highly educated employees (n=442) at three measurement points: in 2017 (T1), 2019 (T2), and 2021 (T3). We were interested in whether profile transitions would occur during the follow-up, and if so, whether the three dimensions of perceived learning climate (facilitation, appreciation, and error avoidance) predict these transitions, and hence function as an organizational-level resource that could help highly educated employees to sustain or improve their occupational well-being. We identified three profiles at each measurement point: (1) burnout, lowered engagement; (2) average exhaustion, high engagement; and (3) low burnout, very high engagement. Latent Transition Analysis indicated that employees both maintained their profiles and made transitions during the follow-up. The findings for the second study period (T2-T3) showed a somewhat less favorable development of occupational well-being. Multinomial Logistic Regression Analysis revealed that perceived learning climate predicted the T2-T3 but not T1-T2 transitions. We conclude that employee well-being can simultaneously comprise both positive and negative states. Although the organizational resource perspective gained some support, this tentative evidence also raises the question of whether employees perceive an appreciative learning climate as more stressful than helpful. Overall, the longitudinal relationship of occupational well-being with the dimensions of perceived learning climate warrants further study.
Fluctuations of the Occupation Density for a Parking Process
Authors: Coletti Cristian F. , Gallo Sandro , Roldán-Correa Alejandro , Valencia León A. 
Published: October 2024

AbstractConsider the following simple parking process on $$\Lambda _n:= \{-n, \ldots , n\}^d,d\ge 1$$

Λ
n

:
=

{
-
n
,
…
,
n
}

d

,
d
≥
1

: at each step, a site i is chosen at random in $$\Lambda _n$$

Λ
n

and if i and all its nearest neighbor sites are empty, i is occupied. Once occupied, a site remains so forever. The process continues until all sites in $$\Lambda _n$$

Λ
n

are either occupied or have at least one of their nearest neighbors occupied. The final configuration (occupancy) of $$\Lambda _n$$

Λ
n

is called the jamming limit and is denoted by $$X_{\Lambda _n}$$

X

Λ
n

. Ritchie (J Stat Phys 122:381–398, 2006) constructed a stationary random field on $$\mathbb {Z}^d$$

Z

d

obtained as a (thermodynamic) limit of the $$X_{\Lambda _n}$$

X

Λ
n

’s as n tends to infinity. As a consequence of his construction, he proved a strong law of large numbers for the proportion of occupied sites in the box $$\Lambda _n$$

Λ
n

for the random field X. Here we prove the central limit theorem, the law of iterated logarithm, and a gaussian concentration inequality for the same statistics. A particular attention will be given to the case $$d=1$$

d
=
1

, in which we also obtain new asymptotic properties for the sequence $$X_{\Lambda _n},n\ge 1$$

X

Λ
n

,
n
≥
1

.
Stabilization system for solar loading thermography applied on cultural heritage objects exposed outdoors: the contribution of advanced algorithms and dual-branch U-Net
Authors: Ding Yinuo , Russo Gilda , Tshiangomba Reagan Kasonsa , Pellegrino Enza , Cicone Antonio , Sfarra Stefano , Zhang Hai 
Published: October 2024

AbstractThis study investigates the use of solar loading thermography (SLT) for thermal non-destructive testing (TNDT) and image stabilization of cultural heritage objects, specifically focusing on a century-old ancient book. The irregular contours and deteriorated areas of the book posed significant challenges for feature extraction due to non-uniform temperature variations. To address these challenges, a convolutional neural network (CNN) based dual-branch network of U-Net was used to stabilize the dataset across three degrees of freedom with the ancient book. The stabilization process involved tracking feature lines across each frame of the time-domain datasets, correcting for frame misalignment caused by sample movement during prolonged data acquisition. The effectiveness of this stabilization technique was evaluated by comparing the results of principal component analysis (PCA), fast Fourier transform (FFT), and fast iterative filtering (FIF) algorithms before and after stabilization. Significant improvements were observed, particularly in the clarity and accuracy of defect detection, indicating that this technique provides a robust foundation for further analysis and processing of SLT datasets in cultural heritage preservation. This research demonstrates the potential of combining advanced image processing techniques with SLT to enhance the quality and reliability of NDT in preserving valuable historical artifacts.
Manfluencers and Young Men’s Misogynistic Attitudes: The Role of Perceived Threats to Men’s Status
Authors: Renström Emma A. , Bäck Hanna 
Published: October 2024

AbstractMisogynistic attitudes have surged in the past few years and the “manosphere” – an online milieu promoting toxic and rigid masculinity norms – is often seen as an arena for spreading such ideas. Within the manosphere, manfluencers (i.e., male influencers who espouse misogynistic content and beliefs) are known for trying to persuade men to view women and feminism as a threat to their masculinity and status as men. In this article, we examine how perceived threats to masculine identity as presented by manfluencers affect the formation of young men’s attitudes towards women. In an original survey (N = 2857) with Swedish men, we found that young men who follow more manfluencers are more likely to dehumanize women. In two experiments (N = 597, 630), we presented potentially threatening content from a fictive manfluencer to a group of participants and found that young men exposed to such content were more mistrustful of women and misogynistic, especially if they felt like they had been rejected by women in the past. The results highlight the importance of how social media influencers may increase misogyny among young men. This research has important implications for policymakers and practitioners, who should be made aware of the role manfluencers have in the formation of attitudes toward gender equality.
How negative institutional power moderates contestation: Explaining dissatisfied powers’ strategies towards international institutions
Authors: Daßler Benjamin , Heinkelmann-Wild Tim , Kruck Andreas 
Published: October 2024

AbstractInternational institutions are increasingly under attack from their member states, who embark on varying and sometimes escalating modes of contestation. At the same time, states’ negative institutional power, i.e. their opportunities to avoid undesired outcomes in international institutions, has been declining for some time. This paper claims that dissatisfied states’ negative institutional power endowments are key to understanding their varying contestation modes: the more limited (extensive) the negative institutional power of dissatisfied states in an institution, the more radical (moderate) modes of institutional contestation they will choose. We argue that, all else equal, states’ (1) inside options to prevent undesired outcomes within the institution and (2) their outside options to evade undesired outcomes by leaving the institution jointly condition whether they choose a strategy of voice, subversion, exit, or rollback to contest the dissatisfying institution. We assess the plausibility of our Negative Institutional Power Theory (NIPT) by means of four detailed case studies of the Trump Administration’s contestation of the World Bank, the World Trade Organization, the Paris Agreement, and the Iran Nuclear Deal. We demonstrate the generalizability of our arguments by assessing our claims across eight additional instances of other dissatisfied powers’ contesting different international institutions. The twelve case studies demonstrate that negative power matters for states’ choice of institutional contestation modes. Our findings suggest that whether, in the future, international institutions will be increasingly challenged from within and outside, can be influenced by reforms that grant (or deny) states negative institutional power.
School climate assemblies: an educational tool for empowering pupils and youth to take climate and sustainability action
Authors: Cebrián Gisela , Boqué Anna , Olano Jon Xavier , Prieto Juan 
Published: October 2024

Abstract
This paper presents school climate assemblies, conceived as an innovative educational tool for the co-creation of climate change and sustainability solutions in educational institutions and communities. It describes an intervention research project that builds on previous processes and experiences of climate citizen assemblies which have been organised in different countries across the world. School climate assemblies are conceived of as a tool that promotes the active engagement of pupils and their communities in co-creating climate change mitigation and adaptation strategies towards jointly defining innovative sustainability and climate change solutions. An intervention, piloted in five secondary schools in the Spanish region of Tarragona, is reported, presenting the main phases and steps followed. To test the effectiveness of the intervention, this paper outlines the policy climate change recommendations that emerged from the co-creation process to identify and agree on a set of actions to tackle climate change and sustainability challenges and the degree of student satisfaction with the intervention. A detailed methodology for organising school climate assemblies that can be replicated in other educational institutions, contexts and regions, is presented, enabling the widespread adoption of this innovative approach. The study emphasises the potential of co-creation methods in the educational context and underscores the critical role of education in fostering sustainability in citizens and empowering students to become active change agents in their local communities. The results lead to policy implications for integrating co-creation approaches into school curricula worldwide, aiming to empower students and drive sustainability action.
Dealing with regression models’ endogeneity by means of an adjusted estimator for the Gaussian copula approach
Authors: Liengaard Benjamin D. , Becker Jan-Michael , Bennedsen Mikkel , Heiler Phillip , Taylor Luke N. , Ringle Christian M. 
Published: October 2024

Abstract
Endogeneity in regression models is a key marketing research concern. The Gaussian copula approach offers an instrumental variable (IV)-free technique to mitigate endogeneity bias in regression models. Previous research revealed substantial finite sample bias when applying this method to regression models with an intercept. This is particularly problematic as models in marketing studies almost always require an intercept. To resolve this limitation, our research determines the bias’s sources, making several methodological advances in the process. First, we show that the cumulative distribution function estimation’s quality strongly affects the Gaussian copula approach’s performance. Second, we use this insight to develop an adjusted estimator that improves the Gaussian copula approach’s finite sample performance in regression models with (and without) an intercept. Third, as a broader contribution, we extend the framework for copula estimation to models with multiple endogenous variables on continuous scales and exogenous variables on discrete and continuous scales, and non-linearities such as interaction terms. Fourth, simulation studies confirm that the new adjusted estimator outperforms the established ones. Further simulations also underscore that our extended framework allows researchers to validly deal with multiple endogenous and exogenous regressors, and the interactions between them. Fifth, we demonstrate the adjusted estimator and the general framework’s systematic application, using an empirical marketing example with real-world data. These contributions enable researchers in marketing and other disciplines to effectively address endogeneity problems in their models by using the improved Gaussian copula approach.
Perspectives of patients, partners, primary and hospital-based health care professionals on living with advanced cancer and systemic treatment
Authors: Kolsteren Evie E. M. , Deuning-Smit Esther , Prins Judith B. , van der Graaf Winette T. A. , Kwakkenbos Linda , Custers José A. E. 
Published: October 2024

Abstract
Purpose
An emerging group of patients lives longer with advanced cancer while receiving systemic treatment. This study aimed to investigate psychosocial aspects of living longer with advanced cancer, and experiences with psychosocial care, from the perspectives of patients, partners, and health care professionals (HCPs).

Methods
From May to December 2020, participants were purposively selected. In-depth, semi-structured interviews were conducted by video or phone call, containing open questions regarding psychosocial aspects and psychosocial care in oncology. The data was analysed following thematic analysis, leading to overarching psychosocial themes and indications for optimal organisation of psycho-oncological care.

Results
Fifteen patients, seven partners and eleven HCPs were interviewed. The main psychosocial aspects were increasing loss in several life domains, complexity of making life choices, ongoing uncertainty, and fluctuating fear and hope. Partners were affected by their loved ones’ condition and reported to put themselves second for longer periods of time, while sometimes missing adequate support. HCPs were challenged by addressing the altering psychosocial needs of patients, and tools to identify those in need for psychosocial support are currently lacking.

Conclusions
Living longer with advanced cancer presents unique challenges for patients and their partners, as well as for HCPs in delivering optimal psychosocial care.

Implications for Cancer Survivors
Identifying and addressing patients’ psychosocial needs from an early stage on, appointing a central hospital-based contact person, limiting the waiting time between scans and consultations, and addressing the partners’ wellbeing are suggestions to organise optimal psychosocial support in advanced cancer.
A Review of Technologies and Challenges for Integrated Modeling Analysis
Authors: Sigler Laurence , Ubach Pere-Andreu , Mora Javier , Oñate Eugenio 
Published: October 2024

AbstractThe natural and built environment form a complex system, comprised of many interrelated subsystems, each interacting in multiple nexus. Manifestations of these interactions can be seen in complex events. Climate change, natural disasters, military conflicts, pandemics, and other such events require accurate preparation, preparedness, and response planning, in a fast, ever changing context. With exascale ($$10^{18}$$

10
18

floating point operations per second) computational levels reached, computing power gives us the capability to model and simulate complex scenarios. This capability gives decision makers tools to game possibilities and enact preparatory and preventative measures to build resilience. There has been a trend of development of decision support, risk assessment, and operational forecasting systems to address this issue, aggregating diverse data sources onto unified platforms. Nonetheless, the majority of such platforms focus on the aggregation of just data and not models, and remain in silos of disciplines. What is needed to prepare and plan for disruptive events is a move towards decision support based on holistic, integrated, model-based analysis. While modeling individual systems has been done for many years, modeling in holistic analysis presents additional challenges. This paper presents an overview of the challenges and advances present for a move to a model-based holistic analysis, and an evaluation of some platforms currently in development and operation. The present work signals gaps in research to be addressed. Finally, we formulate base requirements for the development of systems to perform holistic model-based analysis, and discuss future plans for the development of such a platform.
Individual learning ambidexterity behavior and individual job performance in services: the role of organizational structure
Authors: Ceptureanu Sebastian Ion , Ferraro Giovanna , Ceptureanu Eduard Gabriel , Georgescu Bogdan 
Published: October 2024

AbstractThis study analyzed the impact of individual learning ambidexterity on individual job performance and tested the moderating effects of the organizational structure, represented in this research by formalization, decentralization, and structural differentiation. Despite the importance of individual learning ambidexterity, there is a limited understanding of how employees’ explorative and exploitative learning behaviors affect their individual job performance. The study expands the research by confirming the relevance of individual learning ambidexterity for individual performance for non-managerial employees; an understudied research setting for individual ambidexterity. We demonstrate that individual learning ambidexterity is positively correlated with individual job performance. We also provide evidence that formalization, decentralization, and structural differentiation moderate the effects of individual learning ambidexterity on individual job performance. The empirical context for the research was non-managerial employees from the Romanian IT services industry. Prior research has shown that ambidexterity is important in the IT industry, making it an adequate setting to analyze the effects of individual learning ambidexterity on individual job performance. By using polynomial regressions on a sample consisting of 342 employees, we were able to analyze four research hypotheses. This study demonstrates the moderating mechanism of organizational setting in the improvement of individual job performance in relation to individual learning ambidexterity. Taken as a whole, our findings provide new insights into how and under which organizational conditions the individual-level explorative and exploitative learning behaviors affect individual job performance.
Immune Response in Traumatic Brain Injury
Authors: Cáceres Eder , Olivella Juan Camilo , Di Napoli Mario , Raihane Ahmed S. , Divani Afshin A. 
Published: October 2024

Abstract
Purpose of Review
This review aims to comprehensively examine the immune response following traumatic brain injury (TBI) and how its disruption can impact healing and recovery.

Recent Findings
The immune response is now considered a key element in the pathophysiology of TBI, with consequences far beyond the acute phase after injury. A delicate equilibrium is crucial for a healthy recovery. When this equilibrium is disrupted, chronic inflammation and immune imbalance can lead to detrimental effects on survival and disability.

Summary
Globally, traumatic brain injury (TBI) imposes a substantial burden in terms of both years of life lost and years lived with disability. Although its epidemiology exhibits dynamic trends over time and across regions, TBI disproportionally affects the younger populations, posing psychosocial and financial challenge for communities and families. Following the initial trauma, the primary injury is succeeded by an inflammatory response, primarily orchestrated by the innate immune system. The inflammasome plays a pivotal role during this stage, catalyzing both programmed cell death pathways and the up-regulation of inflammatory cytokines and transcription factors. These events trigger the activation and differentiation of microglia, thereby intensifying the inflammatory response to a systemic level and facilitating the migration of immune cells and edema. This inflammatory response, initially originated in the brain, is monitored by our autonomic nervous system. Through the vagus nerve and adrenergic and cholinergic receptors in various peripheral lymphoid organs and immune cells, bidirectional communication and regulation between the immune and nervous systems is established.
Authorship and Citizen Science: Seven Heuristic Rules
Authors: Sandin Per , Baard Patrik , Bülow William , Helgesson Gert 
Published: October 2024

AbstractCitizen science (CS) is an umbrella term for research with a significant amount of contributions from volunteers. Those volunteers can occupy a hybrid role, being both ‘researcher’ and ‘subject’ at the same time. This has repercussions for questions about responsibility and credit, e.g. pertaining to the issue of authorship. In this paper, we first review some existing guidelines for authorship and their applicability to CS. Second, we assess the claim that the guidelines from the International Committee of Medical Journal Editors (ICMJE), known as ‘the Vancouver guidelines’, may lead to exclusion of deserving citizen scientists as authors. We maintain that the idea of including citizen scientists as authors is supported by at least two arguments: transparency and fairness. Third, we argue that it might be plausible to include groups as authors in CS. Fourth and finally, we offer a heuristic list of seven recommendations to be considered when deciding about whom to include as an author of a CS publication.
Diagnostic accuracy of imaging modalities for detection of spinal metastases: a systematic review and meta-analysis
Authors: Harlianto Netanja I. , van der Star Simone , Suelmann Britt B. M. , de Jong Pim A. , Verlaan Jorrit-Jan , Foppen Wouter 
Published: October 2024

Abstract
Purpose
Detecting spinal metastases is highly relevant in patients with oncological disorders as it can affect the staging and treatment of their disease. We aimed to evaluate the diagnostic performance of computed tomography (CT), magnetic resonance imaging (MRI), FDG positron emission tomography (PET)/CT, bone scintigraphy (BS), and single-photon emission computed tomography (SPECT) for spinal metastases detection.

Methods
Medline, EMBASE, and Web of Science were systematically searched until March 2024 for diagnostic accuracy studies on spinal metastases detection (PROSPERO-registration: CRD42024540139). Data extraction and quality assessment using the QUADAS-2 tool were performed by two independent reviewers. Using bivariate random effects modeling, pooled sensitivities, specificities, and diagnostic odds ratios (DOR) were calculated, and hierarchical summary operating curves were constructed.

Results
Twenty-five studies (49 datasets), encompassing 3102 patients were included. Per-patient pooled sensitivities of CT, MRI, PET/CT, BS and SPECT were 70%, 93%, 82%, 75%, and 84%, respectively. Pooled specificities were 74%, 85%, 75%, 92%, and 81%, respectively. Per-lesion pooled sensitivities of CT, MRI, PET/CT, BS and SPECT were 76%, 91%, 92%, 77%, and 92%, respectively. Pooled specificities were 91%, 94%, 85%, 52%, and 86%, respectively. MRI had the highest DOR in per patient and lesion analyses.

Conclusion
MRI had highest diagnostic accuracy for spinal metastases detection on patient and lesion level, suggesting a broader use in addition to the routine staging CT, at least in patients at high risk and where the detection of a spinal metastasis could alter therapy decisions. Herein, results should be considered with the limitations of each modality.