bluuebunny/crossref_metadata_2025_split huggingface dataset:
Temporal changes in temperature-related mortality in relation to the establishment of the heat-health alert system in Victoria, Australia
Authors: Osborne Nicholas J. , Amoatey Patrick , Selvey Linda , Phung Dung 
Published: May 2024

AbstractExtreme heat alerts are the most common form of weather forecasting services used in Australia, yet very limited studies have documented their effectiveness in improving health outcomes. This study aimed to examine the temporal changes in temperature-related mortality in relation to the activation of the heat-health alert and response system (HARS) in the State of Victoria, Australia. We examined the relationship between temperatures and mortality using quasi-Poisson regression and the distributed lag non-linear model (dlnm) and compared the temperature-mortality association between the two periods: period 1– prior-HARS (1992–2009) and period 2– post-HARS (2010–2019). Since the HARS heavily weights heatwave effects, we also compared the main effects of heatwave events between the two periods. The heatwaves were defined for three levels, including 3 consecutive days at 97th, 98th, and 99th percentiles. We also controlled the potential confounding effect of seasonality by including a natural cubic B-spline of the day of the year with equally spaced knots and 8 degrees of freedom per year. The exposure-response curve reveals the temperature mortality was reduced in period 2 in comparison with period 1. The relative risk ratios (RRR) of Period 2 over Period 1 were all less than one and gradually decreased from 0.86 (95% CI, 0.72–1.03) to 0.64 (95% CI, 0.33–1.22), and the differences in attributable risk percent increased from 13.2 to 25.3%. The reduction in the risk of heatwave-related deaths decreased by 3.4% (RRp1 1.068, 95% CI, 1.024–1.112 versus RRp2 1.034, 95% CI, 0.986–1.082) and 10% (RRp1 1.16, 95% CI, 1.10–1.22 versus RRp2 1.06, 95% CI, 1.002–1.119) for all groups of people. The study indicated a decrease in heat-related mortality following the operation of HARS in Victoria under extreme heat and high-intensity heatwaves conditions. Further studies could investigate the extent of changes in mortality among populations of differing socio-economic groups during the operation of the heat-health alert system.
Surgical resection of advanced intrathoracic tumors through a combination of the hemiclamshell and transmanubrial approaches
Authors: Miyashita Yudai , Fukui Eriko , Ishida Hiroto , Kimura Toru , Kanou Takashi , Ose Naoko , Funaki Soichiro , Shintani Yasushi 
Published: May 2024

Abstract
Purpose
The hemiclamshell (HCS) approach provides a comprehensive view of the anterior mediastinum, whereas the transmanubrial osteomuscular sparing approach (TMA) allows sufficient exposure of the cervico-thoracic transition. We assessed the effectiveness and the outcomes of the combined HCS plus TMA approach to resect thoracic malignant tumors.

Methods
We reviewed five patients with thoracic malignant tumors invading the thoracic outlet who underwent surgery using an HCS and TMA approach between 2018 and 2021.

Results
The preoperative diagnosis was myxofibrosarcoma, lung cancer, thymic cancer, thymoma, and neurofibromatosis type1 in one patient each, respectively. Cardiovascular reconstruction was done on the aortic arch in two patients, on the descending aorta in one, and on the superior vena cava in one, combined with resection of the vagus nerve in three patients, of the phrenic nerve in two, and of vertebra in one, with overlap in some cases. The TMA was added because all patients required dissection of the periphery of the subclavian artery, and two had tumor extension to the neck. Macroscopic complete resection was achieved in four patients. There was no postoperative mortality.

Conclusion
The combination of the HCS and TMA approaches at the same operation provides a comprehensive view of the mediastinum, lung, and cervico-thoracic transition and allows safe access to the thoracic great vessels and subclavian vessels.
Extreme precipitation and temperature indices under future climate change in central Asia based on CORDEX-CORE
Authors: Rai Praveen , Bangelesa Freddy , Abel Daniel , Ziegler Katrin , Huang Jingshui , Schaffhauser Timo , Pollinger Felix , Disse Markus , Paeth Heiko 
Published: May 2024

AbstractThe present study analyzes the projected changes of extreme climate indices over Central Asia using regional climate model (RCM) simulations from the Coordinated Regional Climate Downscaling Experiment (CORDEX) - Coordinated Output for Regional Evaluations (CORE). The extreme indices are based on precipitation and temperature and are inspected for present (1981–2005) and future periods - near- (2031–2055) and far-future (2071–2095) - to assess the long-term climate change under the representative concentration pathway RCP8.5. Projected changes are analyzed for three different model ensembles. These ensembles are based on CORDEX-Central Asia (ENS_CAS, four ensemble members) and CORDEX-East Asia (ENS_EAS, six ensemble members), and a combination of both (ENS, ten ensemble members) for our study area centered over high mountain Asia, called Central East Asia (CEAS). For precipitation indices, an increase of consecutive dry days (CDD) in ENS_EAS and a slight to moderate decrease in northern parts in ENS_CAS during near-future is observed. Consecutive wet days (CWD), very heavy precipitation events (R20mm), maximum one-day precipitation (RX1day), and very wet days (R95p) are projected to increase in most areas. All indices show a further intensification towards the end of the century over large parts of the domain, e.g., + 7.8% / +5.6 days for CDD, + 96.6% / +0.26 days for R20mm, and + 19.7% for RX1day as median of ENS over CEAS. For temperature indices, the ensembles project a strong increase over the high mountain regions and southern parts for consecutive summer days (CSU, + 108.5% / +38.3 days), heat wave duration index (HWDI, + 1379.1% / +91.37 days), and the percentage of very hot days (TX90p, + 391.1% / +34.54 days). Accordingly, the number of consecutive frost days (CFD, -43.7% / -25.2 days) and the percentage of very cold days (TX10p, -83.4% / -8.13 days) are projected to decrease. The first-time usage of CORDEX-CORE and the larger ensemble size by considering simulations from overlapping domains increase the robustness of the findings from earlier studies. However, some discrepancies in the projected changes prevail among the different RCMs being part of the two CORDEX-domains and in specific landscapes like complex mountainous or lake areas. These uncertainties may be tackled by further model development with improved land-surface processes and potentially higher spatial resolution.
Are cleaner energy and financial technologies needed? Contagion and causality evidence between global fintech markets, energy consumption, and environmental pollution
Authors: Ersin Özgür Ömer , Bildirici Melike E. 
Published: May 2024

AbstractFinancial technology (FinTech) depends on high amounts of energy with an upward trend, possibly affecting emissions due to energy consumption (EC). The study investigates tail dependence, contagion, and nonlinear between FinTech, EC, and carbon dioxide emissions (CO2e) with MS-GARCH-copula and MS-GARCH-copula-causality with a daily sample covering 02 Jan 2012–28 December 2022. The method is a generalized version of single-regime GARCH-copula and causality tests to Markov-switching. Empirical results indicated that FinTech, EC, and CO2e series follow nonlinear processes in addition to unit roots as determined by BDS nonlinearity tests and a set of linear and nonlinear unit root tests. Further, for all series, heteroskedasticity and nonlinear forms of heteroskedasticity cannot be rejected by ARCH–LM and White heteroskedasticity tests, leading to the estimation of the series and their joint dynamics by MS-GARCH-copula and a new MS-GARCH-copula based nonlinear Granger-causality test, the RSGCC test, under two distinct regimes characterized with the low and high volatility for extreme tails of data. Positivity and significance of copula parameters under both regimes indicate a high degree of positive but asymmetric tail dependence and contagion between FinTech & EC, in addition to contagion between FinTech & CO2e and EC & CO2e. RSGCC results determine unidirectional causalities from EC to CO2e and from FinTech to CO2e, coupled with bidirectional causality between FinTech and EC, which enhance the dynamics due to feedback effects. The findings of this paper are of importance for two central Sustainable Development Goals. Results could also be used to bring the FinTech markets and EC to the attention of policymakers, researchers, and eco-friendliness-focused portfolio managers.
Graphical Abstract
Which support is provided in which country? Patterns among older adults in Europe
Authors: Furfaro Emanuela , Pelle Elvira , Rivellini Giulia , Zaccarin Susanna 
Published: May 2024

AbstractThis paper proposes comparative research on support provided outside the household by older adults in Europe. In studying social support, the network perspective is widely used, investigating, in particular, the ego-centered support networks of individuals. The analysis is based on data from Wave 7 of the Survey of Health Ageing and Retirement in Europe (SHARE). It examines the characteristics of ego-support networks of individuals aged 65 and over in 12 European countries, which are grouped into a novel welfare regime typology. Through Multiple Correspondence Analysis, we jointly looked into the categorical variables describing the recipients (alters) of the support provided by older adults and the welfare regime classification. As a main result, countries grouped in “High degree of familialism by default” category specialized in supporting family-related alters, particularly with childcare or personal care. In contrast, the elders in countries belonging to “High degree of de-familialisation” typology provided a more varied but less demanding support, to non-relatives alters and less oriented to care. The analyses show that the SHARE provides a solid opportunity to face the topic.
Generating the Moral Agency to Report Peers’ Counterproductive Work Behavior in Normal and Extreme Contexts: The Generative Roles of Ethical Leadership, Moral Potency, and Psychological Safety
Authors: Sumanth John J. , Hannah Sean T. , Herbst Kenneth C. , Thompson Ronald L. 
Published: May 2024

AbstractReporting peers’ counterproductive work behaviors (CWBs) is important for maintaining an ethical organization, but is a significant and potentially risky action. In Bandura’s Theory of Moral Thought and Action (Bandura, 1991) he states that such acts require significant moral agency, which is generated when an individual possesses adequate moral self-regulatory capacities to address the issue and is in a context that activates and reinforces those capacities. Guided by this theory, we assess moral potency (i.e., moral courage, moral efficacy, and moral ownership) as key capacities predicting peer reporting intentions and assess three contextual factors influencing the generation and effects of moral potency: whether a potential informant (1) works for an ethical leader, (2) is embedded in a psychologically safe climate promoting interpersonal risk-taking, and (3) operates in a more normal or extreme context. We assess the proposed model across three field studies entailing both normal and extreme (i.e., firefighting units) contexts. Results show that ethical leaders raise employees’ moral potency, promoting greater willingness to report their peers’ CWBs. In normal work contexts, psychological safety positively moderated both the relationship between ethical leadership and moral potency and between moral potency and peer reporting intentions. However, psychological safety had the opposite effects in more extreme work contexts. Whereas psychological safety strengthens the positive association between moral potency and peer reporting intentions in normal work contexts, in contexts where individuals are more frequently exposed to extreme events, psychological safety weakens this relationship, thus highlighting the unforeseen downsides of psychological safety in extreme contexts.
Design of Concrete Mock-Ups with Complex Defect Scenarios Using Numerical Simulations
Authors: Dethof Fabian , Keßler Sylvia 
Published: May 2024

AbstractThe major objective when applying non-destructive testing (NDT) in civil engineering is the detection of defects such as honeycombs. Defects can impair the service life of structures and could lead in the worst case to fatal failures. All structures such as bridges, tunnels, locks etc. are unique objects with variation in geometry, dimensions, materials, environmental condition, load scenarios etc. Thus, the interpretation of NDT data is challenging and the validation of the NDT method, the training of inspectors and the reliability analysis of NDT rely on mock-ups with known defect situations mimicking the type of defect as realistic as possible. The considered defect sizes inside the mock-ups should cover the transition zone between detectable and non-detectable to properly evaluate the capability of the inspection system. However, knowledge about the limits of an inspection system is mostly non-existent. To overcome this limitation, this study applies realistic numerical simulations for ultrasonic testing in reinforced concrete performed with the elastodynamic finite integration technique (EFIT) to identify this transition zone. First, the study shows the development and the validation of a numerical representation of concrete considering the implementation of a qualitatively realistic noise level. Additionally, the accurate representation of the sources during ultrasonic testing is confirmed by an investigation of the radiation characteristic for dry point contact ultrasonic transducers. The simulation outcome enabled the design of a mock-up, which explores the detection limits for honeycombs during ultrasonic testing under different boundary conditions. A case study demonstrates the applicability of the design scheme based on numerical simulation. In the real specimen designed with the assistance of numerical simulations, $$68\mathrm{\%}$$

68
%

of the implemented defects are detectable, proving the effectiveness of the design methodology.
“Particle therapy - future for the Baltic states?” – synthesis of the expert workshop report
Authors: Paļskis Kristaps , Korobeinikova Erika , Bogorada-Saukuma Dace , Camarda Anna Maria , Taylor Rebecca , Benedetto Elena , Mamis Edgars , Radziņa Maija , Ērglis Andrejs , Adliene Diana , Dosanjh Manjit , Vretenar Maurizio , Torims Toms 
Published: May 2024

Abstract
Background
Baltic States remains one of the few regions in the Europe without a dedicated particle therapy center. An initiative since 2021 has been started by CERN Baltic Group on a novel particle therapy center development in the region in partnership with CERN NIMMS collaboration. With a conceptual design idea in early 2022 and stakeholder engagement activities in late 2022 - next step forward was necessary for the initiative for a more in-depth analysis.

Methods
A dedicated workshop “Particle therapy - future for the Baltic States? State-of-play, synergies and challenges” was held. The workshop was attended by medical community from the Baltics, as well as CERN technical experts and particle therapy practicing clinicians, with scientific programme split in 5 main areas of investigation.

Results
Current cancer epidemiology statistics and RT technological possibilities in the region were analyzed, with first estimates of eligible number of patients calculated. Technological development level of the proposed accelerator complex was discussed, as well the clinical needs and synnergy possibilities with the nuclear medicine field.

Conclusions
The current state and calculated first estimates presented here have shown a promising starting point, which prompts even further in-depth work – a feasibility study for development of a novel particle therapy center in the Baltic States.
How Public Support for Innovation Affect Entrepreneurial Orientation of Mexican Companies: The Moderating Effect of Being a Family Business
Authors: Tlacuilo-Parra Yenira , López-Fernández María Concepción , Hernández-Linares Remedios , García-Piqueres Gema 
Published: May 2024

AbstractWe study the relationships between the input and network additionalities prompted by public support for innovation and entrepreneurial orientation and whether being a family business moderates these relationships. The results, based on a dataset of 115 Mexican firms, show that the changes generated by public support for innovation programmes encourage entrepreneurial orientation. Additionally, family firms have a differential ability to transform input and network additionalities into entrepreneurial orientation. This study contributes theoretically and practically by highlighting the positive effects of research and development support programmes on a firm’s entrepreneurial orientation. It also points out the need to consider family status when designing public policies, since our results reveal that family and non-family firms are not equally efficient in transforming resources into entrepreneurial orientation and that family firms that drive networking through the rules of the subsidy do not trigger the expected potential benefits.
Consensus commentary and position of the Italian Society of Nephrology on KDIGO controversies conference on novel anemia therapies in chronic kidney disease
Authors: Locatelli Francesco , Del Vecchio Lucia , Esposito Ciro , Gesualdo Loreto , Grandaliano Giuseppe , Ravera Maura ,   on behalf of the Collaborative Study Group on the Conservative Treatment of CKD of the Italian Society of Nephrology, Minutolo Roberto 
Published: May 2024

AbstractHypoxia-inducible factor prolyl hydroxylase inhibitors (HIF-PHIs) are new drugs developed for the treatment of anemia associated with chronic kidney disease (CKD). This class of drugs stimulates endogenous erythropoietin production and, at the same time, improves iron absorption and mobilization of iron stores (less evident with daprodustat, vadadustat and enarodustat). Several studies have been published in the last few years showing that these agents are not inferior to standard therapy in correcting anemia associated with CKD. The efficacy of HIF-PHIs is coupled with a safety profile comparable to that of standard erythropoiesis stimulating agent (ESA) treatment. However, studies with HIF-PHIs were not long enough to definitively exclude the impact of new drugs on adverse events, such as cancer, death and possibly cardiovascular events, that usually occur after a long follow-up period. Kidney Disease: Improving Global Outcomes (KDIGO) recently reported the conclusions of the Controversies Conference on HIF-PHIs held in 2021. The goal of the present position paper endorsed by the Italian Society of Nephrology is to better adapt the conclusions of the latest KDIGO Conference on HIF-PHIs to the Italian context by reviewing the efficacy and safety of HIF-PHIs as well as their use in subpopulations of interest as emerged from more recent publications not discussed during the KDIGO Conference.
Graphical abstract
Designing Mathematical Programming Problems
Authors: Munthe Morten , Naalsund Margrethe 
Published: May 2024

AbstractThe growing use of programming in mathematics classrooms presents a challenge linked to implementation in general and task design in particular. This article presents design ideas for mathematical problems incorporating programming in which the focus remains mainly on learning mathematics and less on learning programming. The article starts by reviewing the theoretical background for technology implementation and design, and then presents the methodology for the design, before exploring and discussing the design ideas with an in-depth example. Building on the idea of adidactical situations from the theory of didactical situations, the design illustrates a possible way of implementing programming in the mathematics classroom to facilitate mathematical learning.
Cost Analysis and Prediction of Railroad Level Crossing Accidents for Indian Railways
Authors: Chhotu Anil Kumar , Suman Sanjeev Kumar 
Published: May 2024

AbstractWith the tremendous increase in the number of vehicles, the dense traffic created can lead to accidents and fatalities. In a traffic system, the costs for accidents are immeasurable. Numerous studies have been carried out to predict the cost of fatal accidents but have provided the actual values. Therefore, in this study, a monkey-based modular neural system (MbMNS) is developed to identify accident cost. The accident cases and cost data were collected and preprocessed to remove the noise, and the required features were extracted using the spider monkey function. Based on the extracted features, the accidents and the costs were identified. For rail engineering, this will support evaluating the number of railroad crossing accidents with different time intervals. The impact of every accident was also measured with different cost analysis constraints, including insurance, medical, and legal and administrative costs. Therefore, the present study contributes to the field by collecting and organizing the present railroad level crossing accident data from crossing inventory dashboards. Then, the introduction of a novel MbMNS for the cost analysis is the primary contribution of this study to further enrich the railroad level crossing protection system. The third contribution is the tuning of the prediction layer of a modular neural network to the desired level to achieve the highest predictive exactness score. Hence, the designed MbMNS was tested in the Python environment, and the results were validated with regard to recall, accuracy, F-measure, precision, and error values; a comparative analysis was also conducted to confirm the improvement. The novel MbMNS recorded high accuracy of 96.29% for accident and cost analysis, which is better than that reported for other traditional methods.
Learning to compose diversified prompts for image emotion classification
Authors: Deng Sinuo , Wu Lifang , Shi Ge , Xing Lehao , Jian Meng , Xiang Ye , Dong Ruihai 
Published: May 2024

AbstractImage emotion classification (IEC) aims to extract the abstract emotions evoked in images. Recently, language-supervised methods such as contrastive language-image pretraining (CLIP) have demonstrated superior performance in image understanding. However, the underexplored task of IEC presents three major challenges: a tremendous training objective gap between pretraining and IEC, shared suboptimal prompts, and invariant prompts for all instances. In this study, we propose a general framework that effectively exploits the language-supervised CLIP method for the IEC task. First, a prompt-tuning method that mimics the pretraining objective of CLIP is introduced, to exploit the rich image and text semantics associated with CLIP. Subsequently, instance-specific prompts are automatically composed, conditioning them on the categories and image content of instances, diversifying the prompts, and thus avoiding suboptimal problems. Evaluations on six widely used affective datasets show that the proposed method significantly outperforms state-of-the-art methods (up to 9.29% accuracy gain on the EmotionROI dataset) on IEC tasks with only a few trained parameters. The code is publicly available at https://github.com/dsn0w/PT-DPC/for research purposes.