bluuebunny/crossref_metadata_2025_split huggingface dataset:
Microbial Resuscitation and Growth Rates in Deep Permafrost: Lipid Stable Isotope Probing Results from the Permafrost Research Tunnel in Fox, Alaska
Authors: Caro T. A. , McFarlin J. M. , Maloney A. E. , Jech S. D. , Barker A. J. , Douglas T. A. , Barbato R. A. , Kopf S. H. 
Published: January 2025

AbstractPermafrost is at increasing risk of thaw as cold regions in the Northern Hemisphere continue to warm. Of particular concern is ice-rich, organic-rich, syngenetic “yedoma” type permafrost. The lability of organic carbon in permafrost post-thaw largely depends on the rate at which microorganisms resuscitate and proliferate after thousands of years in below-freezing, dark, anaerobic conditions. However, the resuscitation and growth rates of microorganisms in deep permafrost are unknown. To quantify these rates, we conducted lipid stable isotope probing (lipid-SIP) on permafrost cores collected from four locations within the Permafrost Tunnel near Fairbanks, Alaska. We compare rates of microbial growth, marker gene sequences, and greenhouse gas (CO2, CH4) emissions across cores held anaerobically at ambient and elevated temperatures. In deep, ancient permafrost, microbial biomass turnover is exceedingly slow, often undetectable, within the first month following thaw. Our results indicate microbial growth in response to anaerobic thaw has a notable lag period, where only 0.001 - 0.01% of cells turn over per day. This suggests a ‘slow reawakening’ that could provide some buffer between anomalous warmth and C degradation if permafrost refreezes seasonally. However, within six months, microbial communities undergo dramatic restructuring and succession, producing communities that are distinct from both the emplaced ancient and overlying surface communities. These results have critical implications for predictions of microbial biogeochemical contributions in a warming arctic, especially as thaw proceeds into deeper and more ancient permafrost horizons.Plain Language SummaryPermafrost, earth material like soil, rock, or ice continually frozen for more than two years, contains more organic carbon than is currently in the atmosphere as CO2. As the Arctic warms and permafrost thaws, ancient microbes can reactivate, allowing the degradation of organic carbon that has accumulated in permafrost over millenia, resulting in the release of greenhouse gases. In this work, we measured the rates at which permafrost microorganisms resuscitate during thaw and related these growth rates to changes in microbial community composition and greenhouse gas emissions.Key PointsMicrobial growth is extremely slow within the first 30 days of thaw. Temperature may drive which taxa are active, but not growth rates.Subsurface microbes show a preference for glycolipids over phospholipids, suggesting a possible cryotolerance adaptation.Ancient, entrapped gases may be the primary source of emissions in early thaw stages.
Machine learning enabled measurements of astrophysical (
p,n
) reactions with the SECAR recoil separator
Authors: Tsintari P. , Dimitrakopoulos N. , Garg R. , Hermansen K. , Marshall C. , Montes F. , Perdikakis G. , Schatz H. , Setoodehnia K. , Arora H. , Berg G. P. A. , Bhandari R. , Blackmon J. C. , Brune C. R. , Chipps K. A. , Couder M. , Deibel C. , Hood A. , Gamage M. Horana , Jain R. , Maher C. , Miskovich S. , Pereira J. , Ruland T. , Smith M. S. , Smith M. , Sultana I. , Tinson C. , Tsantiri A. , Villari A. , Wagner L. , Zegers R. G. T. 
Published: January 2025

The synthesis of heavy elements in supernovae is affected by low-energy (n,p) and (p,n) reactions on unstable nuclei, yet experimental data on such reaction rates are scarce. The SECAR (SEparator for CApture Reactions) recoil separator at FRIB (Facility for Rare Isotope Beams) was originally designed to measure astrophysical reactions that change the mass of a nucleus significantly. We used a novel approach that integrates machine learning with ion-optical simulations to find an ion-optical solution for the separator that enables the measurement of (p,n) reactions, despite the reaction leaving the mass of the nucleus nearly unchanged. A new measurement of the Fe58(p,n)Co58 reaction in inverse kinematics with a 3.66±0.12 MeV/nucleon Fe58 beam (corresponding to 3.69±0.12 MeV proton energy in normal kinematics) yielded a cross-section of 20.3±6.3 mb and served as a proof of principle experiment for the new technique demonstrating its effectiveness in achieving the required performance criteria. This novel approach paves the way for studying astrophysically important (p,n) reactions on unstable nuclei produced at FRIB.

Published by the American Physical Society
2025
TC-Mapper: tightly-coupled LiDAR-inertial SLAM for robotic mapping in complex environments
Authors: Yue Xiangdi , Chen Jiawei , Zhang Yihuan , Huang Siming , Pan Jiaji , He Miaolei 
Published: January 2025

Purpose
Over the decades, simultaneous localization and mapping (SLAM) techniques have been extensively researched and applied in robotic mapping. In complex environments, SLAM systems using a single sensor, such as a camera or light detection and ranging (LiDAR), often cannot meet the accuracy and map consistency requirements. This study aims to propose a tightly-coupled LiDAR-inertial SLAM system, which aims to achieve higher accuracy and map consistency for robotic mapping in complex environments.

Design/methodology/approach
This paper presents TC-Mapper, a tightly coupled LiDAR-inertial SLAM system based on LIO-SAM. The authors introduce the normal distribution-based loop closure detection method to the original one (i.e. the radius search-based method), which can enhance the accuracy and map consistency for robotic mapping. To further suppress map drift in complex environments, this paper incorporates a gravity factor into the original factor graph. In addition, TC-Mapper introduces incremental voxels (iVox) as the point cloud spatial data structure.

Findings
Extensive experiments in public and self-collected data sets demonstrate that TC-Mapper has high accuracy and map consistency.

Originality/value
TC-Mapper has two types of loop closure detections: the normal distribution-based method for correcting large drifts and the radius search-based method for fine-stitching, which can achieve higher accuracy and map consistency. The authors introduce iVox as the point cloud spatial data structure, which strives to attain a balance between precision and efficiency to the greatest extent feasible.
Analysis and prediction of contact fault detection in automatic flexible polishing for complex surfaces based on WOA-SVM
Authors: Li Ao , Qi Ruolong 
Published: January 2025

Purpose
On account of the flexibility, large working space and system openness, manipulators are often adopted in automatic grinding and polishing operations. In the flexible roboticized polishing process for complex surfaces with narrow spatial structures, such as aero-engine blades, the contact mode between the tool and the workpiece changes with the transformation of the manipulator’s end posture and the alternation of the workpiece curvature, which often leads to processing contact faults. These faults result in the obsolescence of expensive aerospace components and reduced efficiency. The purpose of this study is to collect vibration signals during the machining process and extract fault characteristic parameters for monitoring and diagnosis for diagnosing faults in automated flexible polishing to protect the workpiece.

Design/methodology/approach
This paper proposes a whale optimization algorithm (WAO)-support vector machine model based on the support vector machine and WAO. From the original grinding and polishing vibration signal, 11 time-domain features that can reflect the fluctuation of the vibration signal are extracted as detection features.

Findings
Experimental results indicate that this method effectively reflects the relationship between contact faults and diagnostic results, demonstrating good real-time performance and diagnostic capability.

Originality/value
This method provides a crucial theoretical basis for real-time fault diagnosis and monitoring in automatic flexible machining, ensuring reliable automatic flexible polishing processes.
Fostering providers’ continuance intention to participate sharing economy: insights from food delivery application service in Vietnam
Authors: Vu Tuan Duong , Vu Phuong Thao , Tran Thi Hoang Ha , Nguyen Thu Ha 
Published: January 2025

Purpose
This study aims to evaluate the impact of several factors on the continuance participation intention of service providers in the sharing economy business model, i.e. food delivery application (FDA) service.

Design/methodology/approach
Based on primary data collected from 282 service providers, this study used partial least squares structural equation modeling (PLS-SEM) to validate measurement scales and the proposed model.

Findings
The SEM analysis revealed that service providers’ intention to continue participating was influenced by perceived social benefit, perceived economic benefit and the corporate image of the service enabler. Notably, the relationship between perceived social benefit and continuance participation intention is moderated by the service enabler’s corporate image. Furthermore, this study identified four antecedents that impact on perceived benefit of service providers, namely, market attractiveness, and marketing capabilities of service enabler, delivery quality and customers’ positive affective response. However, the effect of marketing capabilities of the service enabler on perceived economic benefit was found to be irrelevant.

Originality/value
This study enriches the authors’ understanding of the factors that promote service providers’ intention to continue participating in the sharing economy business model, particularly within the context of FDAs. Based on the findings, the study offers both theoretical and practical implications for service enablers, policymakers and technology providers to enhance stakeholder engagement in the sharing economy business model.
The cost of noise: noise pollution and nonprofit expenses
Authors: Ahmed Tahmina , Hasan Mohammad Maruf , Niyirora Jerome , Saxton Gregory D. 
Published: January 2025

PurposeThis study examines the financial impacts of noise pollution on nonprofit organizations, focusing on how increased noise levels influence total spending and expenditures in the fundraising, administrative and program categories. By exploring these effects, the study aims to learn whether and how nonprofits are reallocating resources to address the adverse consequences of environmental noise.Design/methodology/approachUtilizing IRS Form 990 data for 149,595 US nonprofits from 2020, this study employs OLS regressions and robustness tests, including instrumental variables and entropy balancing, to analyze the impact of noise pollution, measured using data from the National Transportation Noise Exposure Map. The research examines total spending as well as spending patterns across three main functional areas: fundraising, administration, and programs.FindingsThe findings suggest noise pollution has an adverse impact on overall spending as well as fundraising expenses, seemingly at the expense of core program-related functions. Nonprofits in noisier areas appear to require more fundraising investment to counteract donor aversion caused by environmental stressors, leading to reduced capacity for spending on programs.Originality/valueThis study contributes to the literature by examining the role of environmental factors, and specifically noise pollution, in nonprofit financial health. Using a new dataset on census tract-level ambient noise, we are able, for the first time, to empirically examine the organizational impacts of noise pollution across geographic regions. Our study highlights the importance of considering environmental conditions in financial planning for nonprofits, offering practical implications for nonprofit managers and policymakers to develop strategies that mitigate the financial strain imposed by noise pollution.
When family is less indulging: effect of family motivation on self-control behavior
Authors: Chi Yunjia , Jiang Lin , Zeng Yixuan , Bai Xuchen 
Published: January 2025

PurposeFamily cues are widely used in interactive marketing because they appeal to a broad demographic, engaging consumers across different ages and life stages. This research aims to investigate whether and how family motivation, induced by exposure to family-related cues in marketing, influences consumers’ self-control behavior.Design/methodology/approachSeven studies – including one field experiment, five online experiments and one study analyzing secondary data – robustly support the hypothesis that family motivation enhances self-control by fostering a stronger future orientation. The main effect was tested through both field and online experiments. The mediating role of future orientation was explored using measured mediation as well as a process-manipulation approach. Additionally, we identified a boundary condition for this effect. Finally, real-world evidence for the proposed relationship was demonstrated through an analysis of secondary data from a large-scale, nationwide general social survey.FindingsThis research shows that family motivation enhances future orientation, which in turn promotes self-control. Furthermore, this relationship is moderated by a live-in-the-moment belief.Practical implicationsMarketing appeals emphasizing family should be directed toward services and products that are not seen as indulgent. Furthermore, we provide policymakers with a simpler alternative to traditional long-term self-control training by promoting self-control behavior through the activation of family motivation.Originality/valueTo the best of our knowledge, this research is the first to examine the impact of family motivation on consumer behavior. We also contribute to the self-control literature by identifying a new antecedent to self-control.
The effects of warming on loggerhead turtle nesting counts
Authors: Sousa‐Guedes Diana , Campos João C. , Bessa Filipa ,   Flora Fauna y Cultura de Mexico, Lasala Jacob A. , Marco Adolfo , Sillero Neftalí 
Published: January 2025

Abstract

Global trends in marine turtle nesting numbers vary by region, influenced by environmental or anthropogenic factors. Our study investigates the potential role of past temperature fluctuations on these trends, particularly whether warmer beaches are linked to increased nesting due to higher female production (since sea turtles have temperature‐dependent sex determination). We selected the loggerhead turtle (Caretta caretta) due to its wide distribution, strong philopatry and vulnerability to environmental changes.

We compiled nest counts per year on 35 globally significant rookeries, analysing trends at regional and individual beach levels. We compiled air (CHELSA) and land surface (MODIS) temperature data sets spanning the last four decades (1979–2023) for each location. To analyse temporal trends in nest counts and temperatures, we used generalised additive models and Mann–Kendall trend tests. Additionally, we correlated nest counts with lagged air temperature variables.

We found significant warming at 33 nesting locations, 23 of which also showed significant increases in nest counts. Our results suggest that rising temperatures may be boosting nest numbers in regions of the Caribbean, Atlantic Ocean and Mediterranean (sites in Cayman, Mexico, Brazil, Cyprus and Turkey). Furthermore, while some regions temporarily benefit, continued warming could precipitate long‐term population declines.

This regional variability helps predict species responses to climate change, with the general global increase in nest counts already indicating short‐term warming effects. Nesting count trends might reflect a combination of natural ecological phenomena, conservation efforts, and warming effects. Long‐term studies are needed to assess global trends in the sex ratio of hatchlings and the extent to which feminisation is driving nest numbers.
The fraudulent family
Authors: Balakian Sophia 
Published: January 2025

AbstractIn 2012 the US government began requiring DNA testing in its Refugee Family Reunification Program, which was primarily used by refugees from African countries. The policy was established to allay concerns that refugees were committing “family‐composition fraud,” or including people outside their families in their resettlement and reunification cases. In humanitarian contexts “fraud” has often been understood as resulting from scarcity, corruption, and mistrust, but it misnames practices embedded in distinct moral and social worlds. For Somali communities in Kenya, incorporating nieces, nephews, or unrelated orphans as sons and daughters is part of remaking social worlds in places of refuge. By examining how displaced people grapple with DNA testing, we can see that their practices, sometimes labeled “fraud,” emerge from moral economies of kinship. Moreover, the family emerges as a contested category, one that is essential to the work of the US and global refugee regimes.
Determining the Mental Health Literacy Level of University Students and Examining Their Attitudes Towards Seeking Psychological Help
Authors: Kılınç Nevra Didem , Kendirkıran Gülcan 
Published: January 2025

ABSTRACTThis descriptive study examined the mental health literacy levels and attitudes towards seeking psychological help among university students. The study was conducted with 317 students from a university in Türkiye. Data were collected via an online platform using a Personal Information Form, the Mental Health Literacy Scale (MHLS) and the Attitudes Toward Seeking Professional Psychological Help Scale‐Short Form (ATSPPHS‐SF). Participants, with an average age of 20 ± 1, were predominantly female (89%). Most had previously sought psychological support (75.1%) and believed the psychology information obtained online was accurate (61.2%). Significant differences were found between residential location (p = 0.034) and maternal education level (p = 0.017) with the Knowledge Subscale of MHLS, and between history of seeking psychological support (p = 0.010) with the Resource Subscale of MHLS. Additionally, there was a significant difference between seeking psychological support history and mean ATSPPHS‐SF scores (p = 0.060). The scores on MHLS (13.15 ± 3.38) and ATSPPHS‐SF (18.38 ± 3.77) indicated moderate levels, with a positive and significant relationship between the scales' total scores (p = 0.000). The study concluded that mental health literacy is crucial for increasing the rate of seeking psychological help. Addressing the lack of knowledge regarding mental health is essential for early diagnosis, prevention and maintenance of mental health. It is recommended incorporating mental health literacy content into university curricula, initiating efforts to provide information about psychological help resources and engaging psychiatric nurses in educational roles on campus through multidisciplinary planning.
Scaffolding Coding Instruction Through Literacy via the Compose and Code Digital Platform and Curriculum
Authors: Hutchison Amy , Si Qi , Colwell Jamie , Kaya Erdogan , Jakeway Eileen , Miller Brittany , Gutierrez Kristie , Regan Kelly , Evmenova Anna 
Published: January 2025

ABSTRACTBackgroundIn recent years, computer science education has emerged as a necessary part of school curricula for students of all ages. With such momentum in this direction, it is essential that program designers, educators, and researchers ensure that computer science education is designed to be inclusive, effective, and engaging for all students.ObjectiveAccordingly, this paper reports on the design and implementation of an inclusive digital learning platform and accompanying curriculum for scaffolding and integrating coding into writing instruction for elementary‐aged students (approximately ages 9–12). In this paper, we report on teachers' uses of the Compose and Code (CoCo) platform and curriculum, how students used its features, and its influence on students' computational thinking skills and attitudes about coding.MethodData analysed in this mixed‐methods study come from 11 teachers and 595 students in Grades 3–6. Data sources included teacher reflections and interviews, an assessment of computational thinking for students, and a coding attitudes survey for students. Quantitative data were analysed descriptively and using paired sample t‐tests. Qualitative data were analysed inductively using open coding to determine emergent categories.Results and ConclusionFindings indicate that (1) a majority of students effectively used the CoCo platform to plan their work and code in Scratch, with a smaller percentage using the self‐evaluation and self‐monitoring features, (2) teachers indicated overall positive perceptions of the CoCo platform and curriculum, with strong support for using it in the future, (3) students' computational thinking skills improved over the course of the project, with results indicating a large effect size (g = 1.24), and (4) student attitudinal results were mixed, providing insights to the barriers that students face when learning to code. Overall, this study indicates that the CoCo platform and curriculum show promise as a scaffolded, structured, and integrated tool for teaching elementary computer science to elementary grade students.
Examining LGBT older adult social networks and chosen families using the convoy model of social relations
Authors: Breder Kelseanne , Bockting Walter 
Published: January 2025

AbstractSexual and gender minority (lesbian, gay, bisexual, and transgnder: LGBT) adults experience heightened social discrimination and minority stress throughout their lives because of their minority identities. LGBT older adults are particularly vulnerable to the impact of minority stress as they are more likely to live alone and to be estranged from their families of origin. To cope, many LGBT older adults have developed social networks that include chosen families and non‐biological relatives who care for one another as if they are family. The chosen family resilience strategy renegotiates what it means to do family and is worthy of theoretical examination. We apply the convoy model of social relations as an interdisciplinary framework for examining LGBT older adults' social networks and chosen families. We discuss points of convergence between the model and what is known about LGBT social networks, and we extend the model to account for chosen families and online social connections.
A Randomized Controlled Trial of the Getting Our Hearts Right Program and the Prevention and Relationship Enhancement Program in a Sample of Iranian Couples
Authors: Mehr Reza Khojasteh , Sadidi Mohsen , Goddard H. Wallace 
Published: January 2025

ABSTRACTFor several decades, to enhance relationship quality, marriage and relationship education (MRE) programs have focused on teaching communication skills and conflict management. However, new explanations reveal that the effectiveness of communication skills in MRE programs may largely depend on virtues. Through a randomized controlled trial (RCT), the present study examined the effectiveness of the Getting Our Hearts Right Program (GOHR; a virtue‐based approach) and the Prevention and Relationship Enhancement Program (PREP; a skill‐based approach). Forty‐five eligible couples (i.e., 90 individuals) were randomly assigned to (a) GOHR intervention condition, (b) PREP intervention condition, or (c) wait‐list control condition. The couples filled out the Revised Dyadic Adjustment Scale at baseline, postintervention, and 3‐month follow‐up phases. The results of both postintervention and 3‐month follow‐up showed that GOHR was more effective than PREP in improving the spouses' perceived marital adjustment. The findings of this study emphasized the potential value of short‐term virtue‐based interventions.