bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigating the factors that define and influence safety culture: perspectives from expert professionals
Authors: Ortega Natalia , Paes Daniel , Feng Zhenan , Sutrisna Monty , Yiu Tak Wing 
Published: February 2025

Abstract
Reducing the number of harmed workers in the construction sector has proven to be a challenging task. While promoting a Safety Culture (SC) is crucial for achieving that goal, defining it and pinpointing the key factors that influence it is difficult. SC has been defined in many different ways, and there is no consensus on what it exactly entails. Therefore, this study aims to investigate the factors that define and influence SC in the New Zealand construction sector. This goal was achieved through a modified Delphi study conducted in two rounds to gather experts’ views and reach a consensus. Data collection included in-depth interviews and survey questionnaires. A total of 32 experienced construction safety professionals participated in the first round, and 26 of them continued in the second round. Data were analyzed using Thematic Analysis and Relative Importance Index (RII). The main findings are twofold. First, they indicate the need for a holistic definition of SC incorporating its various defining factors. Second, they indicate that the top-ranked influencing factors are ‘Level of Leadership Commitment,’ followed by ‘Level of Experience and Mindset,’ and ‘Level of Communication.’ Furthermore, the results show the dual nature of these influencing factors, as they can either facilitate or hinder SC depending on whether their level is low or high. The results of this study offer valuable insights that enable practitioners to assess and promote SC in their organizations.
Lean manufacturing implementation in food and beverage SMEs in Tanzania: using structural equation modelling (SEM)
Authors: Matindana Juma M. , Shoshiwa Mary J. 
Published: February 2025

Abstract
Currently globally industries are increasingly adopting lean production methods to enhance operational efficiency and overall business performance. Lean tools, which significantly reduce waste, are particularly beneficial for small and medium enterprises (SMEs), including the food and beverage sector. However, research in developing countries like Tanzania has predominantly focused on large-scale industries, neglecting the contributions of SMEs and the impact of lean tools on waste reduction. This study fills that gap by examining the application of lean manufacturing tools and processes in Tanzanian food and beverage SMEs. Using Exploratory Factor Analysis (EFA) and Confirmatory Composite Analysis (CCA), data from 113 SMEs were analysed, revealing that lean tools and processes are strong predictors of improved output, with a significant portion of variance explained by the model. Key lean tools such as 5S, Value Stream Mapping (VSM), and Just In Time (JIT) were found to be instrumental in waste reduction and suited to the unique needs of SMEs in the food and beverage industries. Communication and training also emerged as crucial lean processes for minimizing waste. The study identified three latent variables; lean tools, lean processes, and lean output, which provided a comprehensive framework for lean manufacturing implementation in SMEs. This research is pioneering in expanding the theoretical understanding of lean manufacturing in emerging economies, highlighting the critical role of lean manufacturing and offering practical insights for improving industrial efficiency, sustainability, and competitiveness in the food and beverage sector.
Guideline for ethics review of clinical trials
Authors:   Medical Ethics Society of China Anti-Cancer Association, Hong Minghuang , Yan Zhao 
Published: February 2025

Abstract
This article is the first ethical review technical guideline in the field of oncology in China, compiled by the Medical Ethics Society of China Anti-Cancer Association and jointly completed by 104 national ethics review experts in accordance with a series of Chinese laws and regulations. The document, taking into account the national conditions of China and from an integrated perspective, for the first time proposes a comprehensive ethical review of clinical research from five dimensions: "benefit-risk assessment, foster innovation, full process risk control, safeguard the right and interests of subjects by law, and Achieve gains in both survival duration and quality of life." The guideline emphasizes that benefit-risk assessment should be the primary task of ethical review in clinical trials, proposes trial designs that balance science and ethics to promote pharmaceutical innovation, and requires proactive tracking review to control risks in the trial process. It advocates for the collective protection of the rights and interests of research participants in accordance with the law and emphasizes that the dual benefits of research participants' survival time and quality of life are the goals and missions of ethical review. The publication of this article aims to provide ethical guidelines and operational technical guidance for the ethical review of clinical research in the field of oncology in China. The guideline, grounded in practicality, clarifies the composition and operational mechanisms of the ethics review committee and particularly emphasizes the full process review that pays close attention to and protects the rights and interests of research participants through informed consent, research protocol review, protection of vulnerable groups, benefit-risk assessment, privacy and security review, and tracking review. The document also provides detailed explanations of the operational procedures and key points for important aspects such as review focus and tracking review.
To ensure that this guideline is in line with the latest research trends and more referential, the article also covers key issues such as the recruitment of research participants, ethical issues in medical device clinical research, and ethical review of investigator-initiated clinical research. Through a comprehensive analysis of these contents, the document provides comprehensive guidance and recommendations for ethical review in oncology clinical research, aiming to promote the ethical and scientific nature of clinical research and to ensure that the rights and interests of research participants are protected to the greatest extent possible.
Corrosive wear behavior of a new medium manganese steel compared to 316L stainless steel in 3.5% NaCl solution
Authors: Li Shilin , Guan Kunpeng , Huang Xingmin , Wang Fengtao , Ji Xiulin 
Published: February 2025

Abstract
Applying metals without passivation ability in corrosive environments presents a significant challenge. Medium manganese steel (MMS), a widely used wear-resistant metal, had been investigated for its tribocorrosion behavior following critical annealing at different temperatures, with potential applications in seawater. Notably, the new MMS alloy, designated as 5MnAl, demonstrates superior corrosive wear resistance compared to 316L stainless steel (SS) in a 3.5% NaCl solution, with an average wear rate reduction ranging from 69.3% to 93.9% and lower friction coefficients under 10–60 N load. Specifically, the corrosive wear rate of 316L SS is more than 16 times higher than that of 750 °C annealed 5MnAl under an applied load of 60 N. Additionally, corrosion-induced wear volume loss (V
cw) typically accounts for more than half of the total volume loss. The corrosive wear rate of 5MnAl can be significantly reduced by applying a cathodic protection potential of -1.2 V. Consequently, due to its outstanding resistance to mechanical wear, metals without passivation ability may offer superior prospects for use in friction components in seawater environments compared to 316L SS.
A maximum likelihood approach for uncertain volumes in the additive reserving model
Authors: Riegel Ulrich 
Published: February 2025

Abstract
The additive reserving model assumes the existence of volume measures such that the corresponding expected loss ratios are identical for all accident years. While classical literature assumes these volumes are known, in practice, accurate volume measures are often unavailable. The issue of uncertain volume measures in the additive model was addressed in a generalization of the loss ratio method published in 2018. The derivation is rather complex and the method is computationally intensive, especially for large loss development triangles. This paper introduces an alternative approach that leverages the well-established EM algorithm, significantly reducing computational requirements.
Extinction studies in focus: Reflections on photography at a time of ecological decline
Authors: Simpson Kate , Oakes Sarah , Stirbyte Aureja , Prosser Katie , Brown Timothy M. , Roberts Jonathan David , Bartlett Amy J. 
Published: February 2025

Abstract
Through compositional inclusion or exclusion, the photograph can assert and communicate what belongs in a picture, in a landscape, in an ecosystem. It can illuminate what we deem conservation-worthy, or, on a larger scale, which extinctions are attention-worthy. Photographic practice helps to illuminate the active nature of extinction, and our choices as actors and witnesses within that process. Here, researchers from the University of Leeds’ Extinction Studies Doctoral Training Programme present individual reflections on interdisciplinary practice-led research in the Scottish Small Isles. We consider how photography, as a form of praxis, can generate new forms of knowledge surrounding extinction: its meanings, representations, and legacies, particularly through visual representation. We offer seven perspectives on contemporary image-making, from disciplines including philosophy, conservation biology, literature, sociology, geology, cultural anthropology, and palaeontology. Researchers gathered experiential, ethical, even biological meanings from considering what to include or exclude in images: from the micro to the macro, the visible to the invisible, the aesthetic to the ecological. We draw conclusions around meaning-making through the process of photography itself, and the tensions encountered through framing and decision-making in a time of mass ecological decline.
DocSpider: a dataset of cross-domain natural language querying for MongoDB
Authors: Özer Arif Görkem , Cekinel Recep Firat , Toroslu Ismail Hakki , Karagoz Pinar 
Published: February 2025

Abstract
Natural language querying allows users to formulate questions in a natural language without requiring specific knowledge of the database query language. Large language models have been very successful in addressing the text-to-SQL problem, which is about translating given questions in textual form into SQL statements. Document-oriented NoSQL databases are gaining popularity in the era of big data due to their ability to handle vast amounts of semi-structured data and provide advanced querying functionalities. However, studies on text-to-NoSQL systems, particularly on systems targeting document databases, are very scarce. In this study, we utilize large language models to create a cross-domain natural language to document database query dataset, DocSpider, leveraging the well-known text-to-SQL challenge dataset Spider. As a document database, we use MongoDB. Furthermore, we conduct experiments to assess the effectiveness of the DocSpider dataset to fine-tune a text-to-NoSQL model against a cross-language transfer learning approach, SQL-to-NoSQL, and zero-shot instruction prompting. The experimental results reveal a significant improvement in the execution accuracy of fine-tuned language models when utilizing the DocSpider dataset.
Population structure of the endangered green turtles in a feeding ground in Brazilian Northeast: insights for conservation strategies
Authors: de Farias Daniel Solon Dias , Zamana Roberta Ramblas , Ventura Aline da Costa Bomfim , Silva Flávio José de Lima , Gavilan Simone Almeida , Santana Vinícius Gabriel da Silva , Peres Puertas Igor , Gattamorta Marco Aurélio , Reiko Matushima Eliana , do Amaral Viviane Souza 
Published: February 2025

Abstract
Understanding the population structure and genetic diversity of green turtles is crucial for effective conservation. This study investigated the occurrence, genetic composition, and potential origins of green turtles (Chelonia mydas) in the Potiguar Basin, northeastern Brazil, based on stranding data from 2010 to 2019. Analysis revealed that 87.36% of the population consisted of juveniles, primarily females with a curved carapace length (CCL) between 30 and 59.9 cm. Genetic analysis of the mtDNA control region (481 bp, n = 39) revealed eight haplotypes, with CM-A8 (48.7%) and CM-A5 (30.8%) being the most common. This may be related to the geographic position of the Potiguar Basin, located in the ‘corner’ of the South American continent. High haplotype diversity and low nucleotide diversity were observed, consistent with other Brazilian foraging grounds. Mixed stock analysis identified Ascension Island as the primary source population, followed by Guinea-Bissau and Surinam. The results highlight the importance of the Potiguar Basin as a foraging area for green turtles and emphasize the need for comprehensive conservation strategies to protect this vulnerable population.
Height and weight trajectories are associated with submaximal and maximal exercise capacity in children with congenital heart defects
Authors: Longmuir Patricia E. , Kung Tyler , Ramanan Neya , Porras Gil Javier , Yusuf Warsame , Bijelic Vid , Belaghi Reza , Lougheed Jane 
Published: February 2025

Abstract
Children with congenital heart defects (CHD) are often short/lightweight relative to peers. Limited growth, particularly height, may reflect energy deficits impacting physical activity. Latent class analyses of growth from birth and Bruce treadmill exercise data retrospectively identified for height, weight, and body mass index z-scores growth trajectories. Linear regression models examined exercise parameters by growth trajectory, adjusting for age/sex/CHD severity. A total of 213 children with CHD (39% female, 12.1 ± 2.9 years) achieved 85.8 ± 10.1% of the predicted peak heart rate. Peak heart rate among children whose height was consistently below average (class 1) was 15.2 ± 4.9 beats/min lower than children with other height trajectories. These children also attained a lower percentage of predicted peak heart rate. Children whose weight (p = 0.03) or body mass index (p < 0.001) z-score increased throughout childhood had significantly lower exercise duration (mean difference 1–2 min) than children whose growth trajectories were stable or declined. Children with above-average weight or an increasing body mass index also used a higher percentage of their heart rate reserve at each submaximal exercise stage. A very low height z-score trajectory is associated with decreased exercise capacity that may increase the risk for morbidities associated with a sedentary lifestyle. Future studies should examine potential mechanisms for the observed height deficits, such as an inadequate energy supply that could impact physical activity participation, congestive heart failure, cyanosis, pubertal stage, supplemental feeding history, or familial growth patterns. Prospective studies examining growth in relation to objective measures of daily physical activity are required.
Assessment of the Quality of Manual Chest Compressions and Rescuer Fatigue in Different Cardiopulmonary Resuscitation Positions
Authors: Li Beibei , Zhang Pan , Xu Shuang , Liu Qian , Ma Yannan , Zhou Siyi , Xu Li , Sun Peng 
Published: February 2025

AbstractObjective:Following the 2020 cardiopulmonary resuscitation (CPR) guidelines, this study compared participant’s fatigue with the quality of manual chest compressions performed in the head-up CPR (HUP-CPR) and supine CPR (SUP-CPR) positions for two minutes on a manikin.Methods:Both HUP-CPR and SUP-CPR were performed in a randomized order determined by a lottery-style draw. Manual chest compressions were then performed continuously on a realistic manikin for two minutes in each position, with a 30-minute break between each condition. Data were collected on heart rate, blood pressure, and Borg rating of perceived exertion (RPE) scale scores from the participants before and after the compressions.Results:Mean chest compression depth (MCCD), mean chest compression rate (MCCR), accurate chest compression depth ratio (ACCDR), and correct hand position ratio were significantly lower in the HUP group than that in the SUP group. However, there were no significant differences in accurate chest compression rate ratio (ACCRR), correct recoil ratio, or mean arterial pressure (MAP) before and after chest compressions between the two groups. Changes in heart rate and RPE scores were greater in the HUP group.Conclusion:High-quality manual chest compressions can still be performed when the CPR manikin is placed in the HUP position. However, the quality of chest compressions in the HUP position was poorer than those in the SUP position, and rescuer fatigue was increased.
The Impact of Geomagnetically Induced Currents (GIC) on the Mexican Power Grid: Numerical Modeling and Observations From the 10 May 2024, Geomagnetic Storm
Authors: Caraballo R. , González‐Esparza J. A. , Pacheco C. R. , Corona‐Romero P. , Arzate‐Flores J. A. , Castellanos‐Velazco C. I. 
Published: February 2025

AbstractThis study examines the impact of the 10 May 2024, geomagnetic storm on the Mexican power grid, utilizing geomagnetically induced currents (GIC), measurements and regional magnetic field data recorded by the Laboratorio Nacional de Clima Espacial. Significant GIC were observed at three different locations within the grid. The observations were complemented with estimates for the Mexican power grid provided by a numerical model developed in late 2022. Our findings suggest that the GIC can pose a potential threat to low‐latitude power grids during extreme geomagnetic disturbances. Furthermore, the model demonstrates its potential to forecast the grid response during these events, providing critical insight into the behavior of the electrical grid during extreme space weather events.
Variability and Controls of pCO2 and Air‐Water CO2 Fluxes in a Temperate River
Authors: Young Fischer L. , Colman Benjamin P. , Carter Alice M. , Fiejó de Lima Rafael , Shangguan Qipei , Payn Robert A. , DeGrandpre Michael D. 
Published: February 2025

AbstractMeasurements of riverine dissolved inorganic carbon, total alkalinity (AT), pH, and the partial pressure of carbon dioxide (pCO2) can provide insights into the biogeochemical function of rivers, including the processes that control biological production, chemical speciation, and air‐water CO2 fluxes. The complexity created by these combined processes dictates that studies of inorganic carbon be made over broad spatial and temporal scales. Time‐series data like these are relatively rare, however, because sampling and measurements are labor intensive and, for some variables, good measurement quality is difficult to achieve (e.g., pH). In this study, spectrophotometric pH and AT were quantified with high precision and accuracy at biweekly to monthly intervals over a four‐year period (2018–2021) along 216 km of the Upper Clark Fork River (UCFR) in the northern Rocky Mountains, USA. We use these and other time‐series data to provide insights into the processes that control river inorganic carbon, with a focus on pCO2 and air‐water CO2 fluxes. We found that seasonal snowmelt runoff increased pCO2 and that expected increase and decrease of pCO2 due to seasonal heating and cooling were likely offset by an increase and loss of algal biomass, respectively. Overall, the UCFR was a small net source (0.08 ± 0.14 mol m−2 d−1) of CO2 to the atmosphere over the four‐year study period with highly variable annual averages (0.0–0.10 mol m−2 d−1). The seasonally correlated, offsetting mechanisms highlight the challenges in predicting pCO2 and air‐water CO2 fluxes in rivers.
Evaluating the Performance of Sentinel‐1 SAR Derived Snow Depth Retrievals Over the Extratropical Andes Cordillera
Authors: Bulovic N. , Johnson F. , Lievens H. , Shaw T. E. , McPhee J. , Gascoin S. , Demuzere M. , McIntyre N. 
Published: February 2025

AbstractMonitoring and estimating mountain snowpack mass over regional scales is still a challenge because of the inadequacy of observational networks in capturing spatiotemporal variability, and limitations in remotely sensed retrievals. Recent work using C‐band synthetic aperture radar (SAR) backscatter data from the Sentinel‐1 satellite mission has shown good promise for tracking mountain snow depth over specific northern hemisphere ranges, although the broader potential is still unknown. Here, we extend the new Sentinel‐1 based modeling framework beyond the northern hemisphere by only utilizing globally available input data, and evaluate different model parametrization and model performance over the Chilean and Argentine Andes mountains, which contain the largest mountain snowpack in the southern hemisphere. The accuracy of Sentinel‐1 snow depth estimates is evaluated against an extensive in situ network available for the region. Satellite‐retrieved snow depth is found to have poorer performance across the Andes than observed for northern hemisphere mountain ranges because of greater sensitivity to evergreen forest cover and shallower snowpacks. The algorithm does offer some skill but performance is variable and site‐dependent. Algorithm performance is best over regions with limited evergreen forest cover (15%) and snow depths greater than 0.75 m, although the retrievals over‐estimate snow depth across most sites. Systemic errors for specific snow classes and across different snow depths are shown, highlighting specific areas in need of further investigation and development.