bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effect of Aquafaba and Almond Milk on the Quality of Gluten-Free Vegan Pancakes: Nutritional and Sensory Evaluation
Authors: Tan Gozdenur , Ozkan Gulcan , Aydin Ebru 
Published: February 2025

Abstract
The rising prevalence of celiac disease, gluten sensitivity, and vegan dietary preferences has increased the demand for gluten-free and plant-based foods. This study investigates the potential of aquafaba, a chickpea cooking by-product, as an egg substitute, combined with almond, coconut, and buckwheat flours to develop gluten-free vegan pancake formulations. Aquafaba was optimized for foaming and emulsifying properties under specific conditions (30 min cooking at 70–80 kPa, 110–115 °C, with a 1:1 chickpea-to-water ratio). Four pancake formulations, including gluten containing pancake (GCP), gluten-containing vegan (GCVP) gluten-free pancake (GFP) and gluten-free vegan pancake (GFVP) were evaluated for physicochemical, nutritional, sensory, and textural properties. The GFVP formulation, containing 10.5% almond, 4% coconut, and 15% buckwheat flours, exhibited 14.38% fat, 8.8% protein, 4.01% ash, and 5.29 g/100 g dietary fiber. These values were significantly higher than GCVP, which had 0.24% fat, 7.75% protein, 2.39% ash, and 0.72 g/100 g dietary fiber. Texture analysis showed that gluten-containing pancakes had superior cohesiveness (0.75) and springiness (0.85), while GFVP demonstrated softer properties with cohesiveness at 0.55 and hardness at 2.7 N. Sensory evaluation revealed high consumer acceptability for GFVP, with competitive scores for flavor and overall preference. Using aquafaba and alternative flours allowed the development of gluten-free, vegan, and sugar-free pancakes with desirable nutritional and sensory attributes. These results highlight aquafaba’s potential in creating sustainable, functional foods tailored to diverse dietary needs. The findings contribute to the advancement of functional, health-focused food development.
A Reliability Generalization Meta-analysis of the PERMA-Profiler
Authors: Karabacak Çelik Aynur 
Published: February 2025

Abstract
PERMA-Profiler is a well-being scale to measure multi-component well-being regarding Seligman’s approach. The validity and reliability results have demonstrated that its score is valid and reliable in the original study, but it is important to indicate and generalize the results of it. To this end, we performed a reliability generalization meta-analysis using 71 Cronbach alpha coefficients from empirical studies that met the inclusion criteria. We used the random-effects model using Bonett’s transformation method. The pooled alpha was 0.914, 95% CI [0.902–0.925] for the overall PERMA-Profiler, 0.857, 95% CI [0.842–0.871] for
P

ositive emotions, 0.657, 95% CI [0.623–0.690] for
E

ngagement, 0.804, 95% CI [0.780–0.829] for
R

elationship, 0.855, 95% CI [0.838–0.871] for
M

eaning, 0.783, 95% CI [0.760–0.805] for
A

ccomplishment. Meta-regression and analog to the ANOVA analysis indicated that continuous and categorical variables did not significantly affect reliability estimates except for the Likert type. As a result, we proposed suggestions for substantive research using the PERMA-Profiler and future psychometric research on it.
Addressing Global Disparities in Cervical Cancer Burden: A Narrative Review of Emerging Strategies
Authors: Gopalkrishnan Kalpana , Karim Roksana 
Published: February 2025

Abstract

Purpose of Review
Cervical cancer burden is disproportionately higher in low to middle income countries, especially in countries with a high human immunodeficiency virus (HIV) burden. This review investigates barriers to implementation and assesses current progress in cervical cancer screening in lower resource settings by reviewing technologies and strategies that have already been implemented in low to middle income countries.

Recent Findings
Several novel innovations embrace the recent World Health Organization (WHO) update to screening guidelines that recommends a “screen and treat” approach rather than a “screen, triage and treat” approach. Innovations include human papillomavirus (HPV) self-sampling, portable cervical visualization devices, and creative large-scale approaches to increase screening accessibility.

Summary
Overall, a low-cost, accurate, point-of-care screening test could alleviate most of the barriers associated with cervical cancer screening in lower resource settings. Further research into the development of a low-cost HPV test in conjunction with the HPV vaccine and other screening tools could expedite progress.
Fecal Immunochemical Testing for Colorectal Cancer Prevention in Two Public Hospitals
Authors: Gong Changlin , Rojas Maria Teresa Medina , Guerrero Maria Gabriela Rubianes , Kladas Michail , Mousakhanian Arameh , Sudan Aarushi , Johnson Adejoke , Cartmill Kimberly , Sydney Elana , Kotler Donald P. 
Published: February 2025

Abstract

Introduction
The fecal immunochemical test (FIT) is highly effective in reducing colorectal cancer (CRC) mortality, but patient adherence to the screening process remains questionable. We present preliminary findings from a quality improvement (QI) initiative, in order to assess screening adherence and findings.

Methods
All FIT specimens in a 30-month period were retrospectively examined. Patients with positive results were included, and information was collected via electronic medical record, including QI measures such as colonoscopy completion and findings. All data were de-identified. Patients were divided into “asymptomatic group” and “symptomatic group” based on clinical manifestations. Adherence and findings were analyzed.

Results
FIT results were positive in 174 out of 2400 specimens. Colonoscopy was performed in 47.6% of all FIT-positive cases after a median interval of 5.5 (interquartile range, IQR 3–10) months, with 10% having CRC, 51.3% having adenomas, and 17.5% having advanced adenomas. Of all nine patients who had CRC, seven were in the symptomatic group. All five advanced cancers were found in the symptomatic group. Patients who actually completed colonoscopy were significantly younger than those who did not (median 61.5 years, IQR 56.5–69 years, vs. 64.5 years, IQR 59–71 years, P = 0.048). Patient-related reasons, primarily refusal, accounted for 65.9% of unperformed colonoscopies. No significant difference was found in adherence and yield between asymptomatic and symptomatic groups.

Conclusion
Prevalence of colorectal adenomas and cancers is high in FIT-positive patients. A substantial number of CRCs and potentially preventable CRCs must have been missed because of low adherence rate, especially in older patients. Improving adherence to CRC screening in public hospitals requires enhanced patient engagement.
Function limitations and depressive symptoms among older couples in China: the moderating role of intergenerational support
Authors: Wangliu Yi-Qi , Li Xu-Hong 
Published: February 2025

Abstract
Limitations in performing basic daily activities can adversely affect the mental health of couples. This study aimed to examine the relationships between activity limitations and depressive symptoms among coupled individuals, as well as whether these relationships are moderated by the receipt of intergenerational support. We adopted a within-person analytical framework to analyze cross-sectional household data from the 2020 wave of the China Health and Retirement Longitudinal Study (CHARLS), comprising a dyad sample of 3,578 aged 55 years or older. The results demonstrated that the functional limitations of one spouse were positively associated with depressive symptoms experienced by both spouses. Notably, emotional support received from adult children was found to moderate the relationship between wives’ functional limitations and depressive symptoms for both wives and husbands. The provision of emotional support from adult children may influence the relationship between functional limitations and depressive symptoms among older couples, potentially mitigating the risk of depression. Interventions designed to enhance older couples’ capacity to provide effective care amid disabilities, while also facilitating the receipt of support from adult children when necessary, could yield significant health benefits for both spouses.
Inhibitors and Enablers of Leverage in Digital Industrial Platform Ecosystems
Authors: Pauli Tobias , Marx Emanuel , Fielt Erwin , Marheine Christian , Matzner Martin 
Published: February 2025

Abstract
Digital platforms have demonstrated their disruptive power across various domains, and an increasing number of manufacturing firms have embarked on establishing digital industrial platforms for emerging technologies like the Industrial Internet of Things. Given the technical and organizational complexity of digital industrial platforms, the ways in which complementors can create value by interacting and engaging with them may differ for these platforms. Drawing on a case study conducted at a large multinational platform provider, the article explores how complementors can use digital industrial platforms to their advantage. To this end, the study adopts the concept of leverage, which refers to the ability of platform ecosystems to exert a significant degree of impact that is disproportionate to the input required. The findings indicate that complementors currently primarily benefit from production leverage, utilizing the platform as a technological foundation for individual solutions. However, the utilization of the platform as a marketplace for innovative and generically distributable applications that benefit from innovation and transaction leverage is limited. This is due to a variety of inhibitors, which the platform owner tries to mitigate via enablers through deliberate governance in the form of boundary resources. By unveiling domain-specific manifestations, inhibitors, and enablers across different types of leverage, the study contextualizes leverage within the domain of digital industrial platforms and stresses the need for adopting platform and ecosystem thinking and providing relational governance mechanisms. In addition, it extends the notion of architectural leverage by emphasizing the leveraging ecosystem and its governance through the deliberate orchestration of complementor engagement and underscoring ecosystem leverage based on value co-creation and coordination.
Phenotyping to predict 12-month health outcomes of older general medicine patients
Authors: Woodman Richard John , Bryant Kimberly , Sorich Michael J. , Thompson Campbell H. , Russell Patrick , Pilotto Alberto , Mangoni Aleksander A. 
Published: February 2025

Abstract

Background
A variety of unsupervised learning algorithms have been used to phenotype older patients, enabling directed care and personalised treatment plans. However, the ability of the clusters to accurately discriminate for the risk of older patients, may vary depending on the methods employed.

Aims
To compare seven clustering algorithms in their ability to develop patient phenotypes that accurately predict health outcomes.

Methods
Data was collected for N = 737 older medical inpatients during their hospital stay for five different types of medical data (ICD-10 codes, ATC drug codes, laboratory, clinic and frailty data). We trialled five unsupervised learning algorithms (K-means, K-modes, hierarchical clustering, latent class analysis (LCA), and DBSCAN) and two graph-based approaches to create separate clusters for each method and datatype. These were used as input for a random forest classifier to predict eleven health outcomes: mortality at one, three, six and 12 months, in-hospital falls and delirium, length-of-stay, outpatient visits, and readmissions at one, three and six months.

Results
The overall median area-under-the-curve (AUC) across the eleven outcomes for the seven methods were (from highest to lowest) 0.758 (hierarchical), 0.739 (K-means), 0.722 (KG-Louvain), 0.704 (KNN-Louvain), 0.698 (LCA), 0.694 (DBSCAN) and 0.656 (K-modes). Overall, frailty data was most important data type for predicting mortality, ICD-10 disease codes for predicting readmissions, and laboratory data the most important for predicting falls.

Conclusions
Clusters created using hierarchical, K-means and Louvain community detection algorithms identified well-separated patient phenotypes that were consistently associated with age-related adverse health outcomes. Frailty data was the most valuable data type for predicting most health outcomes.
Treatment of postmenopausal osteoporosis with recombinant human parathyroid hormone and electromagnetic field
Authors: Xuan Miao , Wang Bo , Bi Wanrong , Li Ying , Song Lige , Xie Zhuangli , Liu Qi , Zhang Xiuzhen 
Published: February 2025

Abstract

Objective
This study aimed to investigate the effect of electromagnetic field (EMF) combined with recombinant human parathyroid hormone (rhPTH) on bone mineral density (BMD) and bone turnover indicators in postmenopausal osteoporosis (PMOP) patients.

Methods
A total of 336 PMOP patients were randomly assigned into three groups: EMF + rhPTH group (n = 115), rhPTHx group (n = 113) and EMF group (n = 108). The lumbar spine and femoral neck BMDs were measured before treatment and at 6, 12, and 18 months after treatment. Blood calcium, bone alkaline phosphatase (BSAP), type I procollagen N-terminal peptide (PINP), and type I collagen C-terminal peptide/creatinine ratio (CTX/Cr) levels were measured before treatment and at 3, 6, 12, and 18 months after treatment.

Results
The lumbar spine BMD was significantly increased at 6, 12, and 18 months after treatment, and the neck BMD was increased markedly at 18 months in both EMF + rhPTH group and rhPTH group as compared to those before treatment. There was significant difference in the lumbar spine BMD between EMF + rhPTH group and EMF group and between rhPTH group and EMF group at 6, 12, and 18 months after treatment. In the EMF + rhPTH group, at 3, 6, 12, and 18 months after treatment, blood calcium level was increased by 5.2%, 2.8%, 2.7%, and 3.1%, respectively; BASP level was increased by 80.9%, 120.3%, 84.1%, and 67.7%, respectively; PINP level was increased by 65.4%, 79.7%, 89.7%, and 74.5%, respectively; CTX/Cr was increased by 80.9%, 120.3%, 84.1%, and 67.7%, respectively; the bone metabolism indicators were markedly higher than those before treatment. In the rhPTH group, at 3, 6, 12, and 18 months after treatment, blood calcium level was increased by 5.1%, 3.3%, 3.0%, and 2.1%, respectively; BSAP level was increased by 51.6%, 81.4%, 101.1% and 56.3% respectively; PINP level was increased by 48.5%, 69.8%, 80.7% and 70.5% respectively; CTX/Cr was increased by 29.8%, 29.9%, 55.7%, and 44.8% respectively; the bone turnover indicators were significantly different from those before treatment (P < 0.01).

Conclusion
The combination of EMF and rhPTH can significantly improve the bone turnover and BMD of PMOP patients, and may serve as a clinical treatment of PMOP.
Collaborative movement characteristics of overlying rock and loose layer based on block–particle discrete-element simulation method
Authors: Ren Zhaopeng , Zhang Cun , Wang Yongle , Yang Shengli , Li Quansheng 
Published: February 2025

Abstract
A novel block–particle discrete-element simulation method that matches the double medium of overlying rock (OLR) and loose layer (LSL) in coal mining is developed in this study. This method achieves the collaborative failure characteristics of mining damage under the conduction of double media between the OLR and LSL by combining the self-weight stress loading of the LSL and the breakage morphology of the bedrock top. Based on this, the conduction law of high-strength mining damage in the double medium in a western mining area is simulated and analyzed. The combining effect of the OLR breakage morphology and LSL characteristics on the surface-subsidence characteristics is analyzed and verified based on on-site measurements. The results indicate that the OLR is guided by the “double-control layer and thick-soft rock buffer layer” and shows “grouping subsidence”, whereas the surface forms collaborative subsidence with the thick-soft rock buffer layer. In the ultra-full mining stage, the surface presents an “asymmetric inverted trapezoidal” subsidence trough shape. The simulation results agree well the on-site measurements in terms of the surface-subsidence and bedrock-subsidence coefficients. The proposed simulation method provides a scientific approach for investigating the micro-conduction mechanism of mining damage under the effect of high-strength mining in western mining areas. It will benefit future investigations pertaining to the characteristics of OLR breakage and surface subsidence under conditions such as LSL thickness and proportion.
Generalized estimation and information
Authors: Vos Paul W. , Wu Qiang 
Published: February 2025

Abstract
This paper extends the idea of a generalized estimator for a scalar parameter (Vos in Inform Geom 7:151–170, 2022) to multi-dimensional parameters both with and without nuisance parameters. The title reflects the fact that generalized estimators provide more than simply another method to find point estimators, and that the methods to assess generalized estimators differ from those for point estimators. By generalized estimation we mean the use of generalized estimators together with an extended definition of information to assess their inferential properties. We show that Fisher information provides an upper bound for the information utilized by an estimator and that the score attains this bound. This optimality result provides theoretical justification for likelihood-based inference, effectively narrowing the search for optimal estimators when the score is computationally feasible.
Tellurium and Mercury in Late Cretaceous to Early Eocene Sediments as Proxies for Volcanic Activity in the Deccan and North Atlantic Large Igneous Provinces
Authors: Baumann Nils Björn , Regelous Marcel , Adatte Thierry , Regelous Anette , Haase Karsten M. , Khozyem Hassan 
Published: February 2025

AbstractLate Maastrichtian to Early Eocene sediments from Wadi Nukhul, Egypt were deposited between about 67 and 55.5 Ma during the eruption of the Deccan Traps and the North Atlantic Igneous Province (NAIP). We use Te and Hg as proxies for volcanism to constrain the timing of flood basalt volcanism relative to environmental perturbations and extinction events during this period. We find enrichment in Te in the latest Maastrichtian and earliest Danian and in the Late Paleocene to Early Eocene, which result from enhanced volcanic input of Te. An increase in volcanic Te during the Late Maastrichtian coincides with the Late Maastrichtian Warming Event. A second larger peak in Te begins about 120–80 kyr before the Cretaceous/Paleogene boundary (KPB) and continues into the Danian, with highest values about 70–30 kyr prior to the KPB, potentially related to eruptions of the voluminous Deccan Wai subgroup. The Chicxulub impact, therefore, did not trigger these eruptions, and Deccan volcanism likely led to climate instability, which may have amplified the environmental effects of the impact. A 6 Myr period of low Te during the Paleocene is followed by an increase in Te starting at 57.5 Ma and peaking at the Paleocene‐Eocene boundary (PEB; 56 Ma) during the opening of the North Atlantic and the highest eruptive rates of the NAIP. In contrast, Hg variations over the same time period are less systematic. Our results show that Te in sediments may be a robust proxy, complementary to Hg, for large volcanic events.
Percolation of Dioritic Melts Through Ultramafic Cumulate Mushes Forms High‐Mg Intermediate Igneous Rocks
Authors: Xu Wei , Wang Qing , Weinberg Roberto F. , Zhu Di‐Cheng , Tian Shi‐Hong 
Published: February 2025

AbstractPercolation of dioritic melts through ultramafic cumulate mushes and their reaction and hybridization have been documented in some arcs, but the impact of the processes on the compositions of arc igneous rocks is not yet fully understood. Here, we investigate the petrogenesis of meladiorites from the ca. 200 Ma Cuijiu Igneous Complex in the eastern Gangdese Arc, southern Tibet. The meladiorites are pervasively intruded by normal diorite dykes and show geochemical affinities with high‐Mg intermediate igneous rocks, and their amphibole is characterized by low‐Mg core and high‐Mg rim. Our new data, together with published data, demonstrate that the meladiorites resulted from hybridization of an ultramafic cumulate mush (∼30%–∼50%) with percolating normal dioritic melts (∼50%–∼70%), and that dissolution‐crystallization and chemical diffusion dominated the hybridization. We propose that percolation of dioritic melts through ultramafic cumulate mushes is a viable way to form hybrid high‐Mg intermediate igneous rocks.
The May 2024 Flood Disaster in Southern Brazil: Causes, Impacts, and SWOT‐Based Volume Estimation
Authors: Simoes‐Sousa Iury T. , Camargo Carolina M. L. , Tavora Juliana , Piffer‐Braga Agata , Farrar J. Thomas , Pavelsky Tamlin M. 
Published: February 2025

AbstractIn May 2024, southern Brazil experienced a severe flood that caused widespread devastation, particularly in the metropolitan area of Porto Alegre. This disaster resulted from a rare combination of atmospheric conditions: a heatwave stalled a cold front, leading to prolonged and intense rainfall. The flood claimed 183 lives, left 27 missing, and displaced many more. Notably, the flood's peak coincided with satellite observations from both SWOT and Sentinel‐2, providing a valuable snapshot of the disaster. To assess the flood's scope, and volume, we integrate these satellite data with FABDEM topography. SWOT's water height measurements, evaluated with in situ data, underscore its flood monitoring potential. The estimated floodwater volume was 1.5 billion . While primarily damaging croplands, the flood directly affected 420,000 individuals in the study region, with 16% identified as socially vulnerable. These findings offer insights into floodwater distribution and contribute to future flood dynamics research, mitigation strategies, and disaster preparedness.
Precursory Locking Precedes Slip Events on Laboratory Fault
Authors: Steinhardt Will , Brodsky Emily E. 
Published: February 2025

AbstractEarthquakes occur through repeated cycles of locking and slip. What is the relationship between transiently locked patches and the size, location, and timing of the subsequent slip events? Here we use an experimental fault made of transparent rubber to image the slip history of over 18,000 events. The soft elastic system allows for contained ruptures and thus a natural evolution of stress heterogeneity over multiple earthquake cycles. We observe a precursory locking phase preceding slip nucleation for events of all sizes. The integrated locking distance increases linearly with the moment of the eventual event. The most intense (largest slip deficit) locking events are spatially and temporally correlated with the hypocenters of the largest rupture events. These results show that the transient locking is statistically, but not deterministically, predictive of the location, timing, and size of the eventual slip event.