bluuebunny/crossref_metadata_2025_split huggingface dataset:
Permafrost and ground-ice conditions in the Untersee Oasis, Queen Maud Land, East Antarctica
Authors: Lacelle Denis , Verret Marjolaine , Faucher Benoit , Fisher David , Gaudreau Adam , Pellerin André , Ecclestone Miles , Andersen Dale T. 
Published: December 2024

AbstractKnowledge of Antarctic permafrost is mainly derived from the Antarctic Peninsula and Victoria Land. This study examines the 2019–2023 temperature and humidity conditions, distribution and development of polygonal terrain and the origin of ground ice in soils of the Untersee Oasis. In this region, the surface offset (MAAT ≅ MAGST) and the thermal offset (MAGST ≤ TTIT) reflect the lack of vegetation, absence of persistent snow and a dry soil above the ice table. The mean annual vapour pressure at the ground surface is approximately ~2× higher than in the air but is ~0.67× lower than at the ice table. The size of polygons appears to be in equilibrium with the ice-table depth, and numerical modelling suggests that the depth of the ice table is in turn in equilibrium with the ground surface temperature and humidity. The ground ice at the ice table probably originates from the partial evaporation of snowmelt that infiltrated the dry soil column. As such, the depth of the ice table in this region is set by the water vapour density gradient between the ground surface and the ice-bearing ground, but it is recharged periodically by evaporating snowmelt.
Life in ruins: DNA metabarcoding contributes to the history of Whalers Bay wooden structures at Deception Island, South Shetland Islands
Authors: Câmara Paulo E.A.S. , Lopes Fabyano A. , Bones Fábio L.V. , Carvalho-Silva Micheline , Convey Peter , De Souza Láuren , Coelho Lívia , Rosa Luiz 
Published: December 2024

AbstractDeception Island is an Antarctic Specially Managed Area that houses historically important sites such as the remains of historical wooden buildings. The impacts of fungal communities on wood in polar historical sites have been investigated, but little is known of the impacts of other eukaryote groups. In the current study we used high-throughput sequencing to investigate the diversity of non-fungal eukaryotic organisms present in wood samples from Whalers Bay. Four sites were sampled, and DNA sequences representing three kingdoms (Chromista, Protozoa and Viridiplantae) and four phyla (Ciliophora, Perclozoa, Chlorophyta and Magnoliophyta) were identified, representing a total of 43 taxa. Biscoe House Annex hosted the richest diversity, with 20 taxa, followed by the whaling boat, Biscoe House and the Hunting Lodge, with 16, 15 and 12 taxa, respectively. The most frequently detected sequences were assigned to the ciliate group Sporadotrichida, some of which are known to play a role in cellulose degradation. Among the Chlorophyta, the sequences detected included common taxa previously recorded, but the flowering plant data represented only exotic taxa, probably associated with human activity or airborne transfer. The use of high-throughput sequencing provided valuable data on communities associated with anthropogenically sourced and now decaying wood in Antarctica.
Sturzprävention
Authors: Groß Michaela 
Published: December 2024

ZusammenfassungIn Deutschland veröffentlicht die Bundesinitiative Sturzprävention (BIS, www.bundesinitiative-sturzpraevention.de)
evidenz- und konsensbasierte Empfehlungen zur Identifizierung und Prävention des Sturzrisikos bei
älteren, zu Hause lebenden Menschen. Ziel der Empfehlungen ist eine möglichst einheitliche und
wissenschaftlich abgesicherte Einrichtung und Förderung von Sturzpräventionsangeboten für ältere Menschen
in Deutschland.
Instrumentation
Authors: Pazhenkottil Aju P. , Verberne Hein J. , Buechel Ronny R. 
Published: December 2024

Abstract
Single-photon emission computed tomography (SPECT) imaging provides cross-sectional images of single photon-emitting radiotracer distribution. In such tracers, one or more photons are emitted during the nuclear decay. A gamma camera is used to acquire the data. Traditionally, a gamma camera uses a lead collimator, a sheet of sodium iodide (NaI) scintillator, and an array of photomultiplier tubes. Recently, dedicated cardiac gamma cameras have been designed that use the semiconductor material cadmium zinc telluride (CZT) in place of NaI and photomultiplier tubes. In contrast to SPECT, in positron emission tomography (PET), the positron-emitting radionuclides produce positrons which will annihilate with a nearby electron to create pairs of high-energy 511-keV photons emitted in opposite directions. Detection of the two photons within a narrow time window is called a coincidence event. A PET scanner collects many such coincidence events within the field of view. Hybrid cardiac imaging, combining SPECT and PET with computed tomography (CT) and, more recently, with magnetic resonance imaging (MRI), provides a combination of anatomical and functional information, increasing sensitivity and specificity of the single modalities, thus making the integrated approach a more accurate test. This chapter provides an overview on important aspects of camera technology and instrumentation, including SPECT, PET, and hybrid imaging.
Western Diet and Inflammatory Mechanisms in African American Adults With Heart Failure
Authors: Davis Erica , Dunbar Sandra B. , Higgins Melinda K. , Wood Kathryn , Ferranti Erin , Morris Alanna A. , Butts Brittany 
Published: December 2024

Background
Black adults have a higher risk for heart failure (HF) than others, which may be related to higher cardiovascular risk factors and also inflammatory dietary patterns. The Western diet is associated with inflammation and contributes to HF. Trimethylamine N-oxide is a diet-linked metabolite that contributes to inflammation and is associated with higher tumor necrosis factor-alpha (TNF-α) levels, especially in HF populations. The dietary inflammatory index score measures a diet’s inflammatory potential and food’s inflammatory effects.

Objective
The purpose of this pilot study was to explore associations between the Western diet, dietary inflammatory index, trimethylamine N-oxide, relevant covariates and variables, and TNF-α in Black persons with HF.

Methods
Thirty-one Black participants (mean age = 55 years, 68% women) with HF were enrolled. Trimethylamine N-oxide and TNF-α levels were analyzed using immunoassays. A food frequency questionnaire was completed, and dietary inflammatory index scores and food groups were calculated. Analyses included correlations and I-test statistics.

Results
Mean dietary inflammatory index score was −0.38, noting an anti-inflammatory diet with slightly higher inflammatory diet scores in men compared to women. The dietary inflammatory index score showed a negative association with dietary choline but not with trimethylamine N-oxide or TNF-α. Trimethylamine N-oxide and age were positively correlated, along with the correlation for TNF-α with a moderate effect size. No relationship was found among dietary inflammatory index, TNF-α, and trimethylamine N-oxide variables.

Discussion
A greater understanding of intake of inflammatory foods and relationships with immune factors is warranted to inform intervention development. In Black adults with HF, it is important to consider the intake of inflammatory foods as increased age may affect the retention of dietary metabolites. Metabolites may also increase the levels of inflammation. Knowledge about these relationships could lead to tailored dietary interventions based on diet, age, and culture patterns.
Optimal coupon distribution strategy of retailers considering cross-industry joint promotion
Authors: Li Hao , Peng Yao 
Published: December 2024

PurposeEmpirical evidence indicates that cross-industry cooperation is a popular promotional format in which retailers can engage in market resource sharing and exchange. Although many retailers participate in cross-industry joint promotion by issuing coupons to each other, the degree of correlation between cross-industry products and the consumer switching behavior can significantly impact the promotional effect of these coupons. The purpose of this paper is to investigate the effectiveness of the cross-industry joint promotion and the optimal coupon distribution strategy of retailers based on these two factors.Design/methodology/approachThis paper analyzes the four cases of no cross-industry joint promotion, unilateral issuance of coupons and bilateral issuance of coupons, and discusses the best coupon distribution strategy for retailers based on the degree of product correlation and consumer switching costs. Furthermore, the applicability of the coupon distribution strategy is enhanced by incorporating numerical analysis.FindingsThe results show that the retailers can improve their income level by implementing cross-industry joint promotion. The retailers always price higher when only their promotional partners distribute coupons. When the degree of product correlation and consumer switching costs are high, the retailers issuing cross-industry coupons bilaterally is the optimal joint promotion strategy. When the degree of product correlation or consumer switching costs are low, the low-value retailer issuing coupons can achieve a win-win situation for retailers.Originality/valueThis paper addresses an interesting and practical issue related to the coupon distribution strategies based on the product correlation and consumer switching behavior, thereby providing new theoretical value and managerial implications for retailers to choose the optimal joint promotion strategy under different market conditions.
How personal values influence home-country consumers’ attitudes toward the brand engaging in cross-border philanthropy? The empirical evidence from China
Authors: Yang Jun , Ma Fang , Liu Diyi 
Published: December 2024

PurposeThe research purpose is to investigate how personal values influence home country consumers’ attitudes toward the brand engaging in cross-border philanthropy by analyzing the mediating role of perceived fairness. This research also examines the moderating factor of this effect to propose practical strategies for brand managers.Design/methodology/approachThis research employed one survey (Study 1) and two experiments (Studies 2–3) by manipulating personal values to provide robust evidence for the impact of values on consumer attitudes toward the brand conducting cross-border philanthropy.FindingsThis research offers empirical insights into the positive effect of self-transcendence values on consumer attitudes toward the brand participating in cross-border philanthropy. Findings suggest that home country consumers with self-enhancement (vs self-transcendence) values exhibit lower perceived fairness for transnational philanthropy, which leads to less favorable attitudes toward the brand. Cause acuteness is identified as a boundary condition of these unfavorable responses.Practical implicationsThis research yields guidance for brand managers and marketers seeking to improve consumers’ brand attitudes through cross-border philanthropy.Originality/valueThis research enriches the literature on corporate social responsibility with respect to cross-border philanthropy and reveals distinct consumer attitudes toward this brand behavior. Furthermore, this study makes meaningful contributions to the value and fairness literature.
An information support framework for chain reaction of major emergencies based on causality eventic graph
Authors: Zhang Shiying , Li Yang , Sheng Dongfang 
Published: December 2024

PurposeWith the rapid development of society, major emergencies occur frequently, posing a serious threat to people’s lives and property. This study focuses on the chain reaction of major emergencies, aiming to improve the overall situational awareness and capabilities for managing major emergencies in complex scenarios.Design/methodology/approachWe proposed an information support framework for the chain reaction of major emergencies based on a causality eventic graph (CEG). The framework consists of three modules: the data layer, the analysis layer and the service layer. The data layer focuses on the perception and collection of major emergency information. The analysis layer includes key components such as causality recognition, causality extraction, event fusion and generalization. In this layer, we developed several deep learning (DL)-based models using a joint extraction approach to obtain causal pairs. The service layer depicts the event evolution logic from both industry and public perspectives.FindingsThe empirical study has demonstrated the feasibility and effectiveness of the proposed information support framework. First, the BERT-BiLSTM-CRF model achieved the best performance in the causality extraction task. Second, the SBERT model was found to be more suitable for event fusion. Third, the analysis results of CEG revealed that the impact of pandemics on industries in turn affects other industries as well as people’s livelihoods and vice versa. The framework shows a better information support, discovery and reasoning effect. This study, however, still has several limitations. We focused primarily on causal logic and did not fully explore other logical relationships. In future work, we will incorporate more logical relations to further refine the eventic graph (EG).Originality/valueThis study proposes a novel information support framework for the chain reaction of major emergencies, leveraging CEG to provide targeted and hierarchical information to industry and public stakeholders. It solves several problems in the emergency management of major emergencies.
Promoting sustainable performance of smallholder oil palm farmers: an analysis of key determinants and strategic priorities
Authors: Supriatna Jajang , Saluy Ahmad Badawy , Kurniawan Deden , Djumarno Djumarno 
Published: December 2024

PurposeThis study investigates the factors affecting the performance of smallholder oil palm farmers in Indonesia, with an emphasis on sustainable productivity.Design/methodology/approachThe study involved interviews with regulators, practitioners and experienced farmers in Riau, West Kalimantan, Central Kalimantan and the Bangka Belitung Islands, Indonesia. A confirmatory and explanatory approach was used to explore the relationships among farmer competency, social capital, institutional support, sustainable productivity and overall performance. Data from 757 farmers were analyzed using partial least squares structural equation modeling (PLS-SEM), while the analytical network process (ANP) method identified strategic priorities.FindingsThe results indicate that the sustainability of oil palm farming was low. Social capital, institutional support and sustainable productivity are the key performance factors. Sustainable productivity mediates these relationships. Farmers’ competence indirectly affects performance through sustainable productivity, social capital and institutions. Institutional support needs to be improved.Research limitations/implicationsThis study suggests expanding sustainability indicators by following the latest standards of RSPO principles and criteria, simplifying language for better farmer understanding and assessing sustainability before and after policy implementation.Practical implicationsThe proposed policy framework emphasizes social capital, institutional support and sustainable productivity to improve sustainability and effectiveness.Social implicationsThis study highlights the critical role of social capital, institutional support and sustainable productivity in enhancing Indonesian palm oil farmers’ sustainability and performance.Originality/valueThis unique integrated approach combining PLS-SEM and ANP methodologies provides a comprehensive understanding of the factors affecting smallholder performance and data-driven strategic priorities for policy interventions.
The impact of decentralized finance development on banks deposits variability: PVAR approach
Authors: Harir Nabil , Bel Mkaddem Zakariae 
Published: December 2024

Purpose
This study aims to investigate the potential impact of total value locked (TVL) fluctuation in decentralized finance (DeFi) on banks deposits for a sample of 21 countries, including the Eurozone members and the USA, over the period from July 2018 to October 2023.

Design/methodology/approach
Panel vector autoregression model has been used to analyze the existence of a relationship between TVL and banks deposits. In the second stage, the impulse response function has been exercised to find out the response of banks deposits among each nation.

Findings
Empirical findings exhibit that while increases in TVL have a significant negative long-run association with banks deposits in a global perspective, the effect is weak, suggesting modest disruption to traditional banking services to date. However, the impact varies between short and long-run effects at the country level. Six nations exhibit substantial negative long-run effects, whereas eight countries experience only temporary decreases in deposits following TVL upticks that rebound over time, reflecting the lack of trust in DeFi services and the engagement in speculative instead of long-term activities.

Research limitations/implications
This study provides general insights into DeFi’s impact on banking performance and deposit stability. However, it likely has limitations in scope and time frame. Future research could explore long-term effects, specific DeFi protocols and cross-country comparisons.

Practical implications
This study’s findings provide key insights for policymakers, central banks and bank managers on the impact of DeFi growth on banking performance and deposit stability. The results highlight the need for adaptive regulatory frameworks and investment strategies to address the emerging DeFi ecosystem. At the country level, the observed variations suggest the importance of tailored policy approaches. These insights are crucial for developing effective regulations and strategies in the evolving financial landscape.

Social implications
DeFi growth may alter financial access and inclusion, raising concerns about consumer protection and literacy. It could shift power dynamics in finance, potentially reducing traditional intermediaries’ influence while creating new forms of inequality. Balancing innovation with social responsibility is crucial for equitable distribution of benefits.

Originality/value
Although numerous studies have been conducted on the effects of cryptocurrencies on bank deposits and stock performance across various regions, they have largely overlooked the DeFi and its role in influencing deposits as a new competitor to traditional banks services. This study aims to address this gap by examining the influence of TVL developments on banks deposits, and to what extent it can be served as an alternative to banking services.
Operationalising branding through a sense of place toolkit
Authors: Botha Elricke 
Published: December 2024

PurposeThere has been a steady increase in tourism in biosphere reserves necessitating the future thereof to be embedded in sustainability. Communities’ sense of place (SoP) is central to branding destinations within these socio-ecological designations. This study aims to operationalise the branding of a biosphere reserve using a SoP toolkit as the nexus between sustainable tourism and participatory action research.Design/methodology/approachA qualitative approach using the nominal group technique (NGT) was applied.FindingsThe results suggest that sustainability should feature prominently in the process of identifying a community’s SoP in protected areas and that place meaning plays a pivotal role in place making, like branding, of protected areas.Originality/valueThe paper furthers the discourse of practise-academic research in sustainable tourism settings. To this effect, a sense and care of place toolkit is proposed.
Artificial intelligence-based modeling of compressive strength of slurry infiltrated fiber concrete
Authors: Oyebisi Solomon , Shammas Mahaad Issa , Sani Reuben , Oyewola Miracle Olanrewaju , Olutoge Festus 
Published: December 2024

Purpose
The purpose of this paper is to develop a reliable model that would predict the compressive strength of slurry infiltrated fiber concrete (SIFCON) modified with various supplementary cementitious materials (SCMs) using artificial intelligence approach.

Design/methodology/approach
This study engaged the artificial intelligence to predict the compressive strength of SIFCON through deep neural networks (DNN), artificial neural networks, linear regression, regression trees, support vector machine, ensemble trees, Gaussian process regression and neural networks (NN). A thorough data set of 387 samples was gathered from relevant studies. Eleven variables (cement, silica fume, fly ash, metakaolin, steel slag, fine aggregates, steel fiber fraction, steel fiber aspect ratio, superplasticizer, water to binder ratio and curing ages) were taken as input to predict the output (compressive strength). The accuracy and reliability of the developed models were assessed using a variety of performance metrics.

Findings
The results showed that the DNN (11-20-20-20-1) predicted the compressive strength of SIFCON better than the other algorithms with R2 and mean square error yielding 95.89% and 8.07. The sensitivity analysis revealed that steel fiber, cement, silica fume, steel fiber aspect ratio and superplasticizer are the most vital variables in estimating the compressive strength of SIFCON. Steel fiber contributed the highest value to the SIFCON’s compressive strength with 16.90% impact.

Originality/value
This is a novel technique in predicting the compressive strength of SIFCON optimized with different SCMs using supervised learning algorithms, improving its quality and performance.
Assessing the performance of chat generative pretrained transformer (ChatGPT) in answering chronic kidney disease‐related questions
Authors: Can Başak , Kahvecioğlu Esra Deniz , Palıt Fatih , Cebeci Egemen , Küçük Mehmet , Karaali Zeynep 
Published: December 2024

AbstractBackgroundChatbots produced by artificial intelligence are frequently used in health information today. We aimed to investigate the reliability and reproducibility of the answers given by Chat Generative Pretrained Transformer (ChatGPT), one of the most used chatbots, to frequently asked questions related to chronic kidney failure.MethodsWe reviewed frequently asked questions related to chronic kidney disease (CKD) from social media platforms and Internet. The questions were asked to ChatGPT, and the answers were scored from 1 to 4 by two experienced nephrologists.ResultsEighty‐five frequently asked questions about chronic renal failure were examined and 60 of them were included in the study after exclusion criteria. Fifty‐one (85%) of the questions received 1 point, 7 (11.7%) received 2 points and 2 (3.3%) received 3 points. The similarity rates of the answers to the repeated questions were between 80% and 100%.ConclusionChatGPT has provided reliable responses with high reproducibility to inquiries related to CKD.