bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Multi-pathogen Hospitalization Forecasting Model for the United States: An Optimized Geo-Hierarchical Ensemble Framework
Authors: Xu Shaochong , Du Hongru , Dong Ensheng , Wang Xianglong , Zhang Liyue , Gardner Lauren M. 
Published: January 2025

AbstractAccurate forecasting of infectious diseases is crucial for timely public health response. Ensemble frameworks have shown promising outcomes in short-term forecasting of COVID-19, among other respiratory viruses, however, there is a need to further improve these frameworks. Here, we propose the Multi-Pathogen Optimized Geo-Hierarchical Ensemble Framework (MPOG-Ensemble), a novel forecasting machine learning framework to forecast state-level hospitalizations of influenza, COVID-19, and RSV in the U.S. This framework is multi-resolution: it integrates state, regionally-trained, and nationally-trained models through an ensemble layer and applies various optimization methods to parameterize the model weights and enhance overall predictive accuracy. This proposed framework builds on existing forecasting literature by 1) employing an ensemble of three spatially hierarchical models with state-level forecasts as the output; 2) incorporating four distinct weight optimization methods to generate the ensemble; 3) utilizing clustering methods to dynamically identify multi-state regions as a function of short-term and long-term hospitalization trends for the regionally-trained model; and 4) providing a generalized multi-pathogen framework to forecast the expected near-term hospitalizations from Influenza, RSV and COVID-19. Results demonstrate MPOG-Ensemble is a robust framework with relatively high performance. Extensive experimentation using historical multi-pathogen data highlights the predictive power of our framework compared to existing ensemble approaches. Its robust performance underscores the framework’s effectiveness and potential for improving and broadening infectious disease forecasting.
Potato Late Blight Control with a Botanical Product and Reduced Copper Applications
Authors: Musa Tomke , Kägi Andreas , Gütlin Haruna , Schnee Sylvain , Massana-Codina Josep , Sullam Karen E. 
Published: January 2025

AbstractPotato late blight (PLB), due to the pathogenic oomycete,Phytophthora infestans, can cause extensive economic damage, particularly in organic potato production. Copper is used to combat PLB, but its reduction as a plant protection product is an increasing priority in Europe. Alternative control strategies, including botanicals, are a potential avenue to reduce copper and control PLB. We investigated the application ofFrangula alnusbark, its pairing with a reduced copper application, and a reduced copper application alone in field and lab experiments. The effect of different dosages and preparations on efficacy, and the posited active ingredients were examined.Frangula alnustreatments decreased disease severity compared to the untreated control but showed differences in efficacy depending on dosage and disease pressure. No difference in disease severity between the full and reduced copper treatments was observed. Through in vitro and in planta experiments, we investigated whetherF. alnusdirectly or indirectly controlled PLB. A bacterium (Erwiniaspp.), originating from theF. alnusextract, colonized the media and accounted for most of the direct inhibition in vitro, but removing microorganisms through filtration had no effect on the extract’s efficacy in planta. It is unclear whether extract-associated microorganisms contributed to PLB control and would require additional experimentation to assess. The presence of measured anthraquinones likely contributed to the effect ofF. alnus. Yields from the field experiments within each year remained stable despite different treatments and dosages, suggesting that treatment effectiveness is intertwined with the timing of disease development and ambient environmental conditions.
Single-nuclei multiome ATAC and RNA sequencing reveals the molecular basis of thermal plasticity inDrosophila melanogasterembryos
Authors: O’Leary Thomas S. , Mikucki Emily E. , Tangwancharoen Sumaetee , Boyd Joseph R. , Frietze Seth , Helms Cahan Sara , Lockwood Brent L. 
Published: January 2025

AbstractEmbryogenesis is remarkably robust to temperature variability, yet there is limited understanding of the homeostatic mechanisms that offset thermal effects during early development. Here, we measured the thermal acclimation response of upper thermal limits and profiled chromatin state and the transcriptome ofD. melanogasterembryos (Bownes Stage 11) using single-nuclei multiome ATAC and RNA sequencing. We report that thermal acclimation, while preserving a common set of primordial cell types, rapidly shifted the upper thermal limit. Cool-acclimated embryos showed a homeostatic response characterized by increased chromatin accessibility at transcription factor binding motifs for the transcriptional activator Zelda, along with enhanced activity of gene regulatory networks in the primordial cell types including the foregut and hindgut, mesoderm, and peripheral nervous system. In addition, cool-acclimated embryos had higher expression of genes encoding ribosomal proteins and enzymes involved in oxidative phosphorylation. Despite the hypothesis that differential heat tolerance might be explained by differential expression of molecular chaperones, we did not observe widespread differences in the chromatin accessibility or expression of heat shock genes. Overall, our results suggest that environmental robustness to temperature during embryogenesis necessitates homeostatic gene expression responses that regulate the speed of development, potentially imposing metabolic costs that constrain upper thermal limits.
Dual Ribosome Profiling reveals metabolic limitations of cancer and stromal cells in the tumor microenvironment
Authors: Aviles-Huerta Daniela , Rossella Del Pizzo , Kowar Alexander , Baig Ali Hyder , Palazzo Giuliana , Stepanova Ekaterina , Amaya Ramirez Cinthia Claudia , D’Agostino Sara , Ratto Edoardo , Pechincha Catarina , Siefert Nora , Engel Helena , Du Shangce , Cadenas-De-Miguel Silvia , Miao Beiping , Cruz Vilchez Victor , Müller-Decker Karin , Elia Ilaria , Sun Chong , Palm Wilhelm , Loayza-Puch Fabricio 
Published: January 2025

AbstractCancer cells, immune cells, and stromal cells within the tumor microenvironment (TME) collaboratively influence disease progression and therapeutic responses. The nutrient-limited conditions of the TME, particularly the scarcity of glucose, amino acids, and lipids, challenge cancer cell survival1–4. However, the metabolic constraints faced by immune and stromal cells in comparison to cancer cells, and how these limitations affect therapeutic outcomes, remain poorly understood. Here, we introduce Dual Ribosome Profiling (DualRP), a method that allows for simultaneous analysis of translation and identification of ribosome stalling, revealing amino acid shortages in different cell types within tumors. Using DualRP, we uncover that interactions between cancer cells and fibroblasts trigger an inflammatory response, mitigating amino acid limitations during glucose starvation. In immunocompetent mouse models, we observe that immune checkpoint blockade therapy induces serine and glycine restrictions specifically in T cells, but not in cancer cells. We further demonstrate that these amino acids are essential for optimal T cell function bothin vitroandin vivo, highlighting their critical role in effective immunotherapy. Our findings show that therapeutic interventions create distinct metabolic demands across different tumor cell types, with nutrient availability significantly influencing the success of immunotherapy. DualRP’s ability to explore cell type-specific metabolic vulnerabilities offers a promising tool for advancing our understanding of tumor biology and improving therapeutic strategies.
Neutron tagging can greatly reduce spallation backgrounds in Super-Kamiokande
Authors: Nairat Obada , Beacom John F. , Li Shirley Weishi 
Published: January 2025

Super-Kamiokande’s spallation backgrounds—the delayed beta decays of nuclides following cosmic-ray muons—are nearly all produced by the small fraction of muons with hadronic showers. We show that these hadronic showers also produce neutrons; their captures can be detected with high efficiency due to the recent addition of dissolved gadolinium to Super-Kamiokande. We show that new cuts based on the neutron tagging of showers could reduce spallation backgrounds by a factor of at least four beyond present cuts. With further work, this could lead to a near elimination of detector backgrounds above about 6 MeV, which would significantly improve the sensitivity of Super-Kamiokande. These findings heighten the importance of adding gadolinium to Hyper-Kamiokande, which is at a shallower depth. Further, a similar approach could be used in other detectors, for example, the JUNO liquid-scintillator detector, which is also at a shallower depth.

Published by the American Physical Society
2025
Solutions to food waste: investigating Taiwanese consumer attitudes and behavioral drivers toward upcycled food
Authors: Chen Han-Shen , Chao Ching-Tzu 
Published: January 2025

PurposeThe purpose of this study was to explore Taiwanese consumers attitudes toward upcycled food as a viable and economically sustainable solution to food waste within the context of global environmental pressures caused by the food system. This study applied the theory of planned behavior (TPB) and the value-attitude-behavior (VAB) model to explore the factors shaping consumer behavior toward upcycled food.Design/methodology/approachA survey was conducted using convenience sampling to collect 295 valid responses from Taiwanese consumers. The questionnaire was designed to measure the relationships among dietary values, moral attitudes, subjective norms, perceived behavioral control and consumers intentions toward the consumption of upcycled food. The data were analyzed using statistical methods to verify the hypotheses derived from the TPB and VAB models.FindingsThe findings revealed that dietary values significantly influence moral attitudes, subjective norms and perceived behavioral control, highlighting their pivotal role in consumer behavior toward upcycled food. Moral attitudes, subjective norms, perceived behavioral control, perceived responsibility and thriftiness were positively associated with the intention to consume upcycled food, indicating the potential of these factors in fostering sustainable consumption practices.Originality/valueThis study is unique in its application of the TPB and VAB models to examine the acceptance of upcycled food among Taiwanese consumers, contributing fresh insights into the field of sustainable consumer behavior. This highlights the significance of aligning dietary values and moral attitudes of consumers with sustainable consumption practices, offering a new perspective on promoting upcycled food in Taiwan and potentially in other regions with similar cultural and environmental frameworks.
Digital transformation in wine business – from Marketing 5.0 to Industry 5.0 in the world of wine adopting artificial intelligence
Authors: Festa Giuseppe , D'Amato Antonio , Palladino Rosa , Papa Armando , Cuomo Maria Teresa 
Published: January 2025

PurposeArtificial intelligence (AI) is vastly impacting the digital transformation of societies, economies, businesses, markets and enterprises, at a very fast pace, mostly after the global success of the generative algorithms. In this respect, this study, with an exploratory intention, aims to provide evidence about the fundamental issues of AI, particularly if generative, when adapted to humanism, with a specific focus on the wine business.Design/methodology/approachAn exploratory analysis, conducted on a convenience sample of wine business operators, has been performed to investigate AI applications when connected with the conceptual platform of the “Industry 5.0” framework.FindingsThe results of the survey provide evidence about the success of AI in the wine business. Specifically, the research outcomes highlight that the interviewees (wine business operators) recognized the high relevance of the potential use of AI in the strategic and operating management of wine firms.Originality/valueThis study aims to provide new empirical evidence with regard to the application of AI in real business contexts. More specifically, in this exploratory investigation, a potential interaction between AI and sustainability has been highlighted in the wine industry, especially from an environmental point of view, i.e. for respectfully governing and managing the business impact on the planet and also for increasing the general efficiency of the process, with peculiar applications on the managerial, economic and financial side of the wine business.
Exploring drivers of customer engagement with voice interface in E-retail
Authors: Gupta Astha Sanjeev , Mukherjee Jaydeep 
Published: January 2025

PurposeE-retailers face challenges in adding, engaging and retaining customers. Voice interface is a new and more inclusive modality that provides customers with a hands-free, convenient e-shopping option and is relevant for e-retailers. However, the voice interface is significantly different from the text interface that consumers are accustomed to. This study investigates customer experiences with voice interface for search and selection of products on e-commerce platforms and its subsequent impact on customer engagement and enhanced usage.Design/methodology/approachWe conducted 34 in-depth interviews with executive management students. For analysis and findings, we used a grounded theory paradigm and thematic analysis.FindingsBased on in-depth probing and analysis consumers' experiences with voice interfaces in e-commerce platforms, we identified two enablers: customer satisfaction and awe-experience that positively impacted and two inhibitors: risk perceptions and inertia that negatively impacted customer engagement and enhanced usage of voice interface.Originality/valueVoice interface is transforming the customer journey in the online shopping domain. How customers experience voice interfaces when searching and selecting products on e-commerce platforms impacts their engagement with the platform and their intentions to use voice modality to interact with the e-retailer in the future. The findings substantiate tenets of dual-process theory and found that enabling and inhibiting factors are independent and can coexist. The study identifies the most salient factors that positively and negatively affect customer engagement and enhanced usage of voice interfaces.
Audit report readability and information efficiency: evidence from the Tehran Stock Exchange
Authors: Rajabalizadeh Javad , Schadewitz Hannu 
Published: January 2025

PurposeThis study investigates the impact of audit reports’ readability on informational efficiency within the Tehran Stock Exchange (TSE), emphasizing challenges in an emerging market context characterized by voluntary IFRS adoption and the absence of Big 4 audit firms.Design/methodology/approachBy utilizing hand-collected data from TSE-listed companies, covering 1,097 firm-year observations from 2012 to 2023, readability is assessed using three well-established indexes (Fog, Flesch–Kincaid and Simple Measure of Gobbledygook). Informational efficiency is evaluated by analyzing how stock prices align with a random walk pattern, with additional control variables including governance factors, auditor characteristics and firm-specific indicators to enhance model robustness.FindingsThe findings indicate a positive association between audit report readability and informational efficiency, suggesting that clearer and more readable audit reports help reduce information asymmetry. Control variables such as board independence and auditor tenure showed significant impacts, supporting the conclusion that governance and auditor-specific factors enhanced informational efficiency. Agency and institutional theories are used to contextualize these findings, especially within TSE’s unique regulatory environment. The study addresses endogeneity with firm fixed effects and sample selection bias through Heckman’s two-stage procedure. The absence of Big 4 auditors in Iran prompted controls for auditor size effects, supporting our findings across different audit market segments.Research limitations/implicationsLimitations include potential omitted variable bias and challenges in generalizing findings beyond the TSE. Despite applying firm fixed effects and Heckman’s two-stage procedure to control for endogeneity, some residual biases may remain.Practical implicationsFor regulators, auditors and investors, these findings underscore the value of promoting readability in audit reports to improve informational efficiency, particularly in emerging markets with evolving regulatory standards.Originality/valueBy focusing on audit report readability within an emerging market lacking Big 4 presence, this study offers unique insights into how readability can foster transparency and investor confidence in regions with distinct market dynamics.
A comparative study of gender representation in EFL coursebooks in the Middle East
Authors: Dahmardeh Mahdi , Mohammed Hasan Aveen , Muhammadi Poune , Al-Rashdi Fathiya 
Published: January 2025

Purpose
This study aims to explore how gender is represented in 64 English Language Teaching (ELT) coursebooks used in schools across seven Middle Eastern countries. It examines whether these materials promote gender equality, as outlined in the official curriculum.

Design/methodology/approach
The coursebooks were analysed through content analysis, focusing on their texts, visuals and themes. This approach helped uncover how males and females are portrayed and whether gendered language or stereotypes are present.

Findings
The results reveal a clear gender imbalance. Males are often shown in dominant and diverse roles, while females are frequently confined to stereotypical ones. Gender-biased language and imagery appear throughout the materials, which may affect how students see themselves and interact with others. Such biases could impact not just academic performance but also social development. The findings suggest that schools in the sampled countries, including Egypt, Iran, Iraq (Kurdistan), Oman, Saudi Arabia, Syria and the United Arab Emirates, are not doing enough to promote gender equality through these coursebooks.

Originality/value
This research sheds light on an important issue: how educational materials shape students’ understanding of gender roles. By analysing gender representation in 64 ELT coursebooks used in seven Middle Eastern countries, the study reveals biases that call for immediate changes to create more inclusive resources. While gender representation in ELT coursebooks has been studied globally, this is the first time scholars from different Middle Eastern countries have compared gender portrayal in coursebooks where English is a foreign language. This is an important step towards fostering equality in classrooms across the region.
Enhancing sustainable project success: criteria considered by oil and gas project managers for efficient and effective project delivery
Authors: Abdulla Hazem 
Published: January 2025

PurposeProjects in the oil and gas (O&G) industry are complex, and their sustainability is crucial for the organizations involved. Achieving project success (PS) is particularly challenging in O&G matrix project organizations where resources are shared across multiple projects. This study aims to identify PS criteria based on two dimensions – project efficiency and effectiveness.Design/methodology/approachA case study was employed as the research strategy. Through an interpretivist lens, 20 O&G project managers from a local refinery in the Kingdom of Bahrain were interviewed to understand their perceptions of project success. The collected data were analyzed using thematic analysis with the aid of NVIVO 12.FindingsThe study conveys the measures that constitute sustainable project success, categorizing them within the spectrum of project efficiency and effectiveness. Consequently, project professionals are encouraged to not only think about PS criteria “efficiently” but also “effectively”.Practical implicationsThe research highlights the importance of integrating project efficiency and effectiveness criteria into project management practices in the O&G industry. A key implication for O&G project managers is the advocacy for a holistic project management approach that improves resource allocation and aligns with organizational goals. By understanding these dimensions, decision-making can be enhanced, thereby leading to better outcomes and promoting sustainability in the sector.Originality/valueThe O&G industry, particularly matrix project organizations in the downstream segment, remains under-researched. While there is extensive literature on project success in other sectors, the multidimensional nature of project success criteria specific to the O&G industry has received comparatively little attention.
Applications of deep learning‐based resolution‐enhanced seismic data in fault identification
Authors: Lin Lei , Li Chenglong , Kuang Yanbin , Xin Xing , Zhong Zhi 
Published: January 2025

AbstractHigh‐quality seismic data play a crucial role in accurately interpreting tectonic and lithologic features such as small faults, river margins and thin beds. Over the past decades, researchers have developed numerous methods to enhance seismic resolution and signal‐to‐noise ratio. However, the benefits of quality‐improved seismic data for seismic interpretation have received limited attention. In response, we propose a generative adversarial network–based algorithm to enhance seismic quality and assess how this algorithm improves the accuracy of both machine learning–based and manual fault identification. For machine learning–based fault identification, we integrate a resolution enhancement and noise attenuation neural network (HRNet) with a fault identification neural network (FaultNet). A raw seismic image is first fed into the trained HRNet to obtain a resolution‐enhanced and noise‐suppressed image, which is then input into the trained FaultNet to produce the high‐resolution fault probability map. For manual fault identification, we enlisted three interpreters with geophysical backgrounds to annotate faults on seismic images both before and after HRNet enhancement. Comparison experiments on three field seismic samples show that our method generates more accurate, cleaner and sharper fault probability maps than directly feeding raw seismic images into FaultNet. In addition, our workflow outperforms both the milestone fault identification method and state‐of‐the‐art Transformer‐based neural networks, particularly in detecting small‐scale faults. Furthermore, the HRNet‐enhanced seismic images help interpreters identify small‐ and medium‐scale faults with reduced uncertainty. In the future, HRNet‐enhanced seismic data can be applied to a broader range of high‐precision seismic interpretation tasks, including horizon picking, channel boundary detection and attribute inversion.