bluuebunny/crossref_metadata_2025_split huggingface dataset:
When Elections Wait: A Cross-National Analysis of Election Postponement During the COVID-19 Pandemic
Authors: Lee Seonghui 
Published: October 2024

During the first 2 years of the coronavirus pandemic, over 150 countries had scheduled elections, but approximately half of them had to be postponed due to the pandemic. Why were some elections postponed while others were not? Despite its impact on the election calendar and democratic accountability, election postponement has received surprisingly little scholarly attention. In this study, I investigate the conditions under which elections are more likely to be delayed. Utilizing a comprehensive cross-national dataset encompassing election schedules worldwide, COVID-19-related factors, and other societal and institutional characteristics, I provide the first systematic examination of election postponement during the first 2 years of the pandemic. The empirical analysis reveals that national elections are less likely to be postponed compared to second-order elections such as subnational and special elections. Furthermore, it demonstrates that the momentum of the pandemic plays a significant role, and effective pandemic management and robust healthcare infrastructures decrease the likelihood of election postponement. On the other hand, institutional constraints have little impact. By shedding light on the factors driving election postponement, this study enhances our understanding of how crises can shape democratic processes.
Treatment Continuity and Bone Marrow Suppression in Whole-Brain and Whole-Spinal Cord Radiotherapy for Medulloblastoma Patients
Authors: Li Zongtai , Lin Zhiyue , Liu Hui , Xiao Runnan , Lin Chuyan , Zhu Wenlong , Luo Jiaxiu , Xu Senku , Chi Feng , He Huilang 
Published: October 2024

Background: This study investigated the factors influencing treatment continuity and bone marrow suppression in whole-brain and whole-spinal cord radiotherapy for medulloblastoma, providing a clinical reference for mitigating the impact of hematological suppression on radiotherapy continuity. Methods: A retrospective analysis was conducted on patients with medulloblastoma who underwent craniospinal irradiation (CSI) radiotherapy at our hospital between August 2019 and December 2023. According to the inclusion and exclusion criteria, a total of 87 patients were enrolled. The bone marrow suppression status, clinical data, and radiotherapy dose data of the enrolled patients were recorded, and correlation analyses were performed. Based on the correlation results, further group comparisons were subsequently conducted. Results: Overall, 22.99% (20 out of 87) of the patients experienced treatment interruption (median duration, 6.5 [5, 8] days), typically during the 12th (7.5, 14.75) radiotherapy session. Treatment continuity was weakly correlated with age and treatment modality, and the timing of interruptions was weakly correlated with dosage and treatment modality. Bone marrow suppression severity was weakly correlated with age, body mass index (BMI), and treatment modality. Treatment modality and age were found to be independent predictors of treatment continuity and the degree of bone marrow suppression, respectively. Subgroup comparisons revealed differences in the severity of bone marrow suppression, grade of hematological toxicity, and timing of interruption depending on the treatment modality, dosage, and sex ( P < .05). Conclusions: Timely monitoring of hematological changes, especially in the middle and posterior segments after radiotherapy, is crucial. Treatment with helical tomotherapy, male sex, younger age, and lower BMI during radiotherapy are indicators of greater clinical attention.
Deep Learning-Based Detection of Impacted Teeth on Panoramic Radiographs
Authors: Zhicheng He , Yipeng Wang , Xiao Li 
Published: October 2024

Objective: The aim is to detect impacted teeth in panoramic radiology by refining the pretrained MedSAM model. Study design: Impacted teeth are dental issues that can cause complications and are diagnosed via radiographs. We modified SAM model for individual tooth segmentation using 1016 X-ray images. The dataset was split into training, validation, and testing sets, with a ratio of 16:3:1. We enhanced the SAM model to automatically detect impacted teeth by focusing on the tooth’s center for more accurate results. Results: With 200 epochs, batch size equals to 1, and a learning rate of 0.001, random images trained the model. Results on the test set showcased performance up to an accuracy of 86.73%, F1-score of 0.5350, and IoU of 0.3652 on SAM-related models. Conclusion: This study fine-tunes MedSAM for impacted tooth segmentation in X-ray images, aiding dental diagnoses. Further improvements on model accuracy and selection are essential for enhancing dental practitioners’ diagnostic capabilities.
Optimal lifestyle patterns for delaying ageing and reducing all-cause mortality: insights from the UK Biobank
Authors: Liu Ce , Yang Zhaoru , He Li , Xiao Ya , Zhao Hao , Zhang Ling , Liu Tong , Chen Rentong , Zhang Kai , Luo Bin 
Published: October 2024

Abstract
Background
With the rapid aging of the global population, identifying lifestyle patterns that effectively delay aging and reduce mortality risk is of paramount importance. This study utilizes the UK Biobank to analyze the associations of the Dietary Inflammatory Index, physical activity, and sleep on biological aging and all-cause mortality.

Methods
A prospective cohort study was conducted using data from over half a million UK Biobank participants. Two datasets were created by subjective and objective measurements of physical activity: the Subjective Physical Activity (SPA) and Objective Physical Activity (OPA) datasets. Lifestyle patterns, including diet habits, exercise levels, and sleep quality, were assessed within these datasets. Biological aging was quantified using validated methods, including Homeostatic Dysregulation, Klemera-Doubal Method Biological Age, Phenotypic Age, and Telomere Length. All-cause mortality data were obtained from the National Health Service. Statistical analyses included weighted linear regression and Cox proportional hazard models, adjusted for a range of covariates.

Results
The findings indicate that, in most cases, maintaining an anti-inflammatory diet, engaging in at least moderate physical activity, and ensuring healthy sleep conditions are associated with delayed physiological aging (Cohen’s d ranging from 0.274 to 0.633) and significantly reduced risk of all-cause mortality (HR-SPA: 0.690, 95% CI: 0.538, 0.884; HR-OPA: 0.493, 95% CI: 0.293, 0.828). These effects are particularly pronounced in individuals under 60 years of age and in women. However, it was observed that the level of physical activity recommended by the World Health Organization (600 MET-minutes/week) does not achieve the optimal effect in delaying biological aging. The best effect in decelerating biological aging was seen in the high-level physical activity group (≥ 3000 MET-minutes/week). The study also highlights the potential of biological age acceleration and telomere length as biomarkers for predicting the risk of mortality.

Conclusions
Choosing healthy lifestyle patterns, especially an anti-inflammatory diet, at least moderate physical activity, and healthy sleep patterns, is crucial for delaying aging and reducing mortality risk. These findings support the development of targeted interventions to improve public health outcomes. Future research should focus on objective assessments of lifestyle to further validate these associations.
Performance of Ag-doped CuO nanoparticles for photocatalytic activity applications: Synthesis, characterization, and antimicrobial activity
Authors: Mosleh Ahmed T. , Kamoun Elbadawy A. , EL-Moslamy Shahira H. , Salim Samar A. , Zahran Heba Y. , Zyoud Samer H. , Yahia Ibrahim S. 
Published: October 2024

AbstractThe auto-combustion method synthesized CuO NPs and Ag/CuO NPs. The Ag/CuO NPs were analyzed using Fourier-transform infrared, X-ray diffraction, scanning electron microscope, and Energy-dispersive X-ray spectroscopy instrumental analyses. The energy band gap, as determined by DRS properties, decreases from 3.82 to 3.50 eV for pure CuO and 10% Ag/CuO NPs, respectively. The photodegradation efficiency of Rhodamine-B & Carmine by 10% Ag/CuO NPs was nearly 98.9 and 97.8%, respectively. Antimicrobial trials revealed that the antimicrobial efficacy of Ag/CuO NPs at several dosages (20, 40, 60, 80, 100, and 120 µg/mL) against human pathogens was initially assessed using the agar well-diffusion method, and then the broth dilution method. Noticeably, the minimum inhibitory concentration of Ag/CuO NPs for all pathogens ranged from 100 to 120 µg/ml, was determined. Generally, the observed minimum microbicide concentration has a wide range of Ag/CuO NPs doses, ranging from 150 to 300 µg/ml, which helps kill (99.99%) all tested pathogenic cells. The largest relative inhibitory activities (%) were recorded against Escherichia coli (81.45 ± 1.39) at 120 g/mL of Ag/CuO NPs and 100 μg/mL (80.43 ± 0.59), followed by 80 µg/mL (72.33 ± 0.82). Additionally, the lowest relative inhibitory activities (%) were monitored versus fungal cells and Gram-positive bacteria at 120 µg/mL of Ag/CuO NPs as 52.17 ± 1.49 and 53.42 ± 1.71; respectively.
Graphic abstract
Advanced glycation end products promote ROS production via PKC/p47 phox axis in skeletal muscle cells
Authors: Suzuki Shinichiro , Hayashi Tatsuya , Egawa Tatsuro 
Published: October 2024

AbstractAdvanced glycation end products (AGEs) are risk factors for various diseases, including sarcopenia. One of the deleterious effects of AGEs is the induction of abnormal reactive oxygen species (ROS) production in skeletal muscle. However, the underlying mechanism remains poorly understood. Therefore, the aim of this study was to elucidate how AGEs induce ROS production in skeletal muscle cells. This study demonstrated that AGEs treatment promoted ROS production in myoblasts and myotubes while PKC inhibitor abolished ROS production by AGEs stimulation. Phosphorylation of p47 phox by kinases such as PKCα is required to form the Nox2 complex, which induces ROS production. In this study, AGEs treatment promoted the phosphorylation of PKCα and p47 phox in myoblasts and myotubes. Our findings suggest that AGEs promote ROS production through the phosphorylation of PKCα and p47 phox in skeletal muscle cells.
C-ziptf: stable tensor factorization for zero-inflated multi-dimensional genomics data
Authors: Chafamo Daniel , Shanmugam Vignesh , Tokcan Neriman 
Published: October 2024

AbstractIn the past two decades, genomics has advanced significantly, with single-cell RNA-sequencing (scRNA-seq) marking a pivotal milestone. ScRNA-seq provides unparalleled insights into cellular diversity and has spurred diverse studies across multiple conditions and samples, resulting in an influx of complex multidimensional genomics data. This highlights the need for robust methodologies capable of handling the complexity and multidimensionality of such genomics data. Furthermore, single-cell data grapples with sparsity due to issues like low capture efficiency and dropout effects. Tensor factorizations (TF) have emerged as powerful tools to unravel the complex patterns from multi-dimensional genomics data. Classic TF methods, based on maximum likelihood estimation, struggle with zero-inflated count data, while the inherent stochasticity in TFs further complicates result interpretation and reproducibility. Our paper introduces Zero Inflated Poisson Tensor Factorization (ZIPTF), a novel method for high-dimensional zero-inflated count data factorization. We also present Consensus-ZIPTF (C-ZIPTF), merging ZIPTF with a consensus-based approach to address stochasticity. We evaluate our proposed methods on synthetic zero-inflated count data, simulated scRNA-seq data, and real multi-sample multi-condition scRNA-seq datasets. ZIPTF consistently outperforms baseline matrix and tensor factorization methods, displaying enhanced reconstruction accuracy for zero-inflated data. When dealing with high probabilities of excess zeros, ZIPTF achieves up to $$2.4\times$$

2.4
×

better accuracy. Moreover, C-ZIPTF notably enhances the factorization’s consistency. When tested on synthetic and real scRNA-seq data, ZIPTF and C-ZIPTF consistently uncover known and biologically meaningful gene expression programs. Access our data and code at: https://github.com/klarman-cell-observatory/scBTF and https://github.com/klarman-cell-observatory/scbtf_experiments.
The role of alcohol consumption in the lives of older Australian women: qualitative insights and an agenda for further research, policy and practice
Authors: McCarthy Simone , Pitt Hannah , Benjamin Kelli , Stafford Julia , Keric Danica , Arnot Grace , Thomas Samantha 
Published: October 2024

Abstract
Background
Alcohol consumption presents a threat to the health and wellbeing of women. The alcohol industry often pushes back at global efforts to prioritise the prevention of alcohol harms to women. Qualitative researchers have investigated how younger and midlife women conceptualise their alcohol consumption, but there is very limited research relating to older women (those 60 years and over).

Methods
Using data collected from an online qualitative survey, this paper explored the factors that influence how older Australian women drinkers (n = 144. 60–88 years) conceptualised the role of alcohol in their lives. The study used a ‘Big Q’ reflexive approach to thematic analysis, drawing upon sociological theories of risk and symbolic interactionism to construct four themes from the data.

Results
First, alcohol consumption was viewed by participants as an accepted and normalised social activity, that was part of Australian culture. Second, alcohol played a role for some participants as a way to cope with life changes (such as retirement), as well as managing stressful or challenging life circumstances (such as loneliness). Third, alcohol was part of the routines and rituals of everyday life for some women. For example, women discussed the consumption of wine with their evening meal as an important part of the structure of their day. Fourth, participants had clear personal expectancies about what it meant to be a ‘responsible drinker’. They had clear narratives about personal control and moral obligation, which in some cases created a reduced perception of their own risk of alcohol-caused harm.

Conclusions
This research provides a starting point for future public health research examining the factors that may shape older women’s alcohol consumption beliefs and practices. Public health activities should consider the unique needs and potential vulnerabilities of older women drinkers, and how these may be potentially exploited by the alcohol industry.
Optimization, purification and characterization of laccase from a new endophytic Trichoderma harzianum AUMC14897 isolated from Opuntia ficus-indica and its applications in dye decolorization and wastewater treatment
Authors: Salem Maha M. , Mohamed Tarek M. , Shaban Aya M. , Mahmoud Yehia A.-G. , Eid Mohammed A. , El-Zawawy Nessma A. 
Published: October 2024

Abstract
Background
Hazardous synthetic dye wastes have become a growing threat to the environment and public health. Fungal enzymes are eco-friendly, compatible and cost-effective approach for diversity of applications. Therefore, this study aimed to screen, optimize fermentation conditions, and characterize laccase from fungal endophyte with elucidating its ability to decolorize several wastewater dyes.

Results
A new fungal endophyte capable of laccase-producing was firstly isolated from cladodes of Opuntia ficus-indica and identified as T. harzianum AUMC14897 using ITS-rRNA sequencing analysis. Furthermore, the response surface methodology (RSM) was utilized to optimize several fermentation parameters that increase laccase production. The isolated laccase was purified to 13.79-fold. GFC, SDS-PAGE revealed laccase molecular weight at 72 kDa and zymogram analysis elucidated a single band without any isozymes. The peak activity of the pure laccase was detected at 50 °C, pH 4.5, with thermal stability up to 50 °C and half life span for 4 h even after 24 h retained 30% of its activity. The Km and Vmax values were 0.1 mM, 22.22 µmol/min and activation energy (Ea) equal to 5.71 kcal/mol. Furthermore, the purified laccase effectively decolorized various synthetic and real wastewater dyes.

Conclusion
Subsequently, the new endophytic strain produces high laccase activity that possesses a unique characteristic, it could be an appealing candidate for both environmental and industrial applications.
Recombinant production of Paenibacillus wynnii β-galactosidase with Komagataella phaffii
Authors: Bechtel Anna , Seitl Ines , Pross Eva , Hetzel Frank , Keutgen Mario , Fischer Lutz 
Published: October 2024

Abstract
Background
The β-galactosidase from Paenibacillus wynnii (β-gal-Pw) is a promising candidate for lactose hydrolysis in milk and dairy products, as it has a higher affinity for the substrate lactose (low KM value) compared to industrially used β-galactosidases and is not inhibited by the hydrolysis-generated product D-galactose. However, β-gal-Pw must firstly be produced cost-effectively for any potential industrial application. Accordingly, the yeast Komagataella phaffii was chosen to investigate its feasibility to recombinantly produce β-gal-Pw since it is approved for the regulated production of food enzymes. The aim of this study was to find the most suitable way to produce the β-gal-Pw in K. phaffii either extracellularly or intracellularly.

Results
Firstly, 11 different signal peptides were tested for extracellular production of β-gal-Pw by K. phaffii under the control of the constitutive GAP promoter. None of the signal peptides resulted in a secretion of β-gal-Pw, indicating problems within the secretory pathway of this enzyme. Therefore, intracellular β-gal-Pw production was investigated using the GAP or methanol-inducible AOX1 promoter. A four-fold higher volumetric β-galactosidase activity of 7537 ± 66 µkatoNPGal/Lculture was achieved by the K. phaffii clone 27 using the AOX1 promoter in fed-batch bioreactor cultivations, compared to the clone 5 using the GAP promoter. However, a two-fold higher specific productivity of 3.14 ± 0.05 µkatoNPGal/gDCW/h was achieved when using the GAP promoter for β-gal-Pw production compared to the AOX1 promoter. After partial purification, a β-gal-Pw enzyme preparation with a total β-galactosidase activity of 3082 ± 98 µkatoNPGal was obtained from 1 L of recombinant K. phaffii culture (using AOX1 promoter).

Conclusion
This study showed that the β-gal-Pw was produced intracellularly by K. phaffii, but the secretion was not achieved with the signal peptides chosen. Nevertheless, a straightforward approach to improve the intracellular β-gal-Pw production with K. phaffii by using either the GAP or AOX1 promoter in bioreactor cultivations was demonstrated, offering insights into alternative production methods for this enzyme.
High-resolution spatio-temporal risk mapping for malaria in Namibia: a comprehensive analysis
Authors: Zhang Song , Amratia Punam , Symons Tasmin L. , Rumisha Susan F. , Kang Su Yun , Connell Mark , Uusiku Petrina , Katokele Stark , Hamunyela Jerobeam , Ntusi Nelly , Soroses Wilma , Moyo Ernest , Lukubwe Ophilia , Maponga Chivimbiso , Lucero Dominic , Gething Peter W. , Cameron Ewan 
Published: October 2024

Abstract
Background
Namibia, a low malaria transmission country targeting elimination, has made substantial progress in reducing malaria burden through improved case management, widespread indoor residual spraying and distribution of insecticidal nets. The country's diverse landscape includes regions with varying population densities and geographical niches, with the north of the country prone to periodic outbreaks. As Namibia approaches elimination, malaria transmission has clustered into distinct foci, the identification of which is essential for deployment of targeted interventions to attain the southern Africa Elimination Eight Initiative targets by 2030. Geospatial modelling provides an effective mechanism to identify these foci, synthesizing aggregate routinely collected case counts with gridded environmental covariates to downscale case data into high-resolution risk maps.

Methods
This study introduces innovative infectious disease mapping techniques to generate high-resolution spatio-temporal risk maps for malaria in Namibia. A two-stage approach is employed to create maps using statistical Bayesian modelling to combine environmental covariates, population data, and clinical malaria case counts gathered from the routine surveillance system between 2018 and 2021.

Results
A fine-scale spatial endemicity surface was produced for annual average incidence, followed by a spatio-temporal modelling of seasonal fluctuations in weekly incidence and aggregated further to district level. A seasonal profile was inferred across most districts of the country, where cases rose from late December/early January to a peak around early April and then declined rapidly to a low level from July to December. There was a high degree of spatial heterogeneity in incidence, with much higher rates observed in the northern part and some local epidemic occurrence in specific districts sporadically.

Conclusions
While the study acknowledges certain limitations, such as population mobility and incomplete clinical case reporting, it underscores the importance of continuously refining geostatistical techniques to provide timely and accurate support for malaria elimination efforts. The high-resolution spatial risk maps presented in this study have been instrumental in guiding the Namibian Ministry of Health and Social Services in prioritizing and targeting malaria prevention efforts. This two-stage spatio-temporal approach offers a valuable tool for identifying hotspots and monitoring malaria risk patterns, ultimately contributing to the achievement of national and sub-national elimination goals.