bluuebunny/crossref_metadata_2025_split huggingface dataset:
Self-perceived barriers to healthcare access for patients with post COVID-19 condition
Authors: Brus Iris M. , Spronk Inge , Polinder Suzanne , Loohuis Alfons G. M. Olde , Tieleman Peter , Heemskerk Stella C. M. , Biere-Rafi Sara , Haagsma Juanita A. 
Published: September 2024

Abstract
Background
Many patients with post COVID-19 condition (PCC) require healthcare services. However, qualitative studies indicate that patients with PCC encounter many barriers to healthcare access. This cross-sectional study aimed to determine how many PCC patients report barriers to healthcare access and which barriers are reported, and to explore differences between subgroups.

Methods
Data were collected via an online survey from 10,462 adult patients with a confirmed or suspected COVID-19 infection in the Netherlands, who experienced persisting symptoms ≥ 3 months after the initial infection. To study self-perceived barriers, a list of eleven possible barriers was used, covering multiple aspects of healthcare access. Differences between subgroups based on sociodemographic characteristics, medical characteristics, PCC symptoms (fatigue, dyspnoea, cognitive problems, anxiety and depression), and healthcare use (general practitioner, paramedical professional, medical specialist, occupational physician and mental health professional) were studied through multivariable multinomial (0 vs. 1 vs. > 1 barrier) and binomial regression analyses (for each individual barrier).

Results
A total of 83.2% of respondents reported at least one barrier to healthcare access. Respondents reported a median of 2.0 (IQR = 3.0) barriers. The barriers “I didn’t know who to turn to for help” (50.9%) and “No one with the right knowledge/skills was available” (36.8%) were most frequently reported. Respondents with younger age, higher educational level, not hospitalized during acute COVID-19 infection, longer disease duration, who had more severe PCC symptoms, and who did not consult an occupational physician or paramedical professional, were more likely to report barriers. Analyses per barrier showed that women were more likely to report financial and help-seeking barriers, while men were more likely to report barriers related to availability of care. Hospitalized respondents were less likely to report barriers related to availability of care, but not less likely to report financial or help-seeking barriers.

Conclusions
This study shows that the majority of patients with PCC experiences barriers to healthcare access. Particular attention should be paid to younger, non-hospitalized patients with a long disease duration and severe PCC symptoms. Efforts to remove barriers should focus not only on improving availability of care, but also on helping patients navigate care pathways.
Neuroprotective effects of intranasal extracellular vesicles from human platelet concentrates supernatants in traumatic brain injury and Parkinson’s disease models
Authors: Delila Liling , Nebie Ouada , Le Nhi Thao Ngoc , Timmerman Kelly , Lee Deng-Yao , Wu Yu-Wen , Chou Ming-Li , Buée Luc , Chou Szu-Yi , Blum David , Devos David , Burnouf Thierry 
Published: September 2024

Abstract
Background
The burgeoning field of regenerative medicine has significantly advanced with recent findings on biotherapies using human platelet lysates (HPLs), derived from clinical-grade platelet concentrates (PCs), for treating brain disorders. These developments have opened new translational research avenues to explore the neuroprotective effects of platelet-extracellular vesicles (PEVs). Their potential in managing neurodegenerative conditions like traumatic brain injury (TBI) and Parkinson’s disease (PD) warrants further exploration. We aimed here to characterize the composition of a PEV preparation isolated from platelet concentrate (PC) supernatant, and determine its neuroprotective potential and neurorestorative effects in cellular and animal models of TBI and PD.

Methods
We isolated PEVs from the supernatant of clinical-grade PC collected from healthy blood donors utilizing high-speed centrifugation. PEVs were characterized by biophysical, biochemical, microscopic, and LC–MS/MS proteomics methods to unveil biological functions. Their functionality was assessed in vitro using SH-SY5Y neuronal cells, LUHMES dopaminergic neurons, and BV-2 microglial cells, and in vivo by intranasal administration in a controlled cortical impact (CCI)-TBI model using 8-weeks-old male C57/BL6 mice, and in a PD model induced by MPTP in 5-month-old male C57/BL6 mice.

Results
PEVs varied in size from 50 to 350 nm, predominantly around 200 nm, with concentrations ranging between 1010 and 1011/mL. They expressed specific platelet membrane markers, exhibited a lipid bilayer by cryo-electron microscopy and, importantly, showed low expression of pro-coagulant phosphatidylserine. LC–MS/MS indicated a rich composition of trophic factors, including neurotrophins, anti-inflammatory agents, neurotransmitters, and antioxidants, unveiling their multifaceted biological functions. PEVs aided in the restoration of neuronal functions in SH-SY5Y cells and demonstrated remarkable neuroprotective capabilities against erastin-induced ferroptosis in dopaminergic neurons. In microglial cells, they promoted anti-inflammatory responses, particularly under inflammatory conditions. In vivo, intranasally delivered PEVs showed strong anti-inflammatory effects in a TBI mouse model and conserved tyrosine hydroxylase expression of dopaminergic neurons of the substantia nigra in a PD model, leading to improved motor function.

Conclusions
The potential of PEV-based therapies in neuroprotection opens new therapeutic avenues for neurodegenerative disorders. The study advocates for clinical trials to establish the efficacy of PEV-based biotherapies in neuroregenerative medicine.

Graphical Abstract
Regional desynchronization of microglial activity is associated with cognitive decline in Alzheimer’s disease
Authors: Zatcepin Artem , Gnörich Johannes , Rauchmann Boris-Stephan , Bartos Laura M. , Wagner Stephan , Franzmeier Nicolai , Malpetti Maura , Xiang Xianyuan , Shi Yuan , Parhizkar Samira , Grosch Maximilian , Wind-Mark Karin , Kunte Sebastian T. , Beyer Leonie , Meyer Carolin , Brösamle Desirée , Wendeln Ann-Christin , Osei-Sarpong Collins , Heindl Steffanie , Liesz Arthur , Stoecklein Sophia , Biechele Gloria , Finze Anika , Eckenweber Florian , Lindner Simon , Rominger Axel , Bartenstein Peter , Willem Michael , Tahirovic Sabina , Herms Jochen , Buerger Katharina , Simons Mikael , Haass Christian , Rupprecht Rainer , Riemenschneider Markus J. , Albert Nathalie L. , Beyer Marc , Neher Jonas J. , Paeger Lars , Levin Johannes , Höglinger Günter U. , Perneczky Robert , Ziegler Sibylle I. , Brendel Matthias 
Published: September 2024

Abstract
Background
Microglial activation is one hallmark of Alzheimer disease (AD) neuropathology but the impact of the regional interplay of microglia cells in the brain is poorly understood. We hypothesized that microglial activation is regionally synchronized in the healthy brain but experiences regional desynchronization with ongoing neurodegenerative disease. We addressed the existence of a microglia connectome and investigated microglial desynchronization as an AD biomarker.

Methods
To validate the concept, we performed microglia depletion in mice to test whether interregional correlation coefficients (ICCs) of 18 kDa translocator protein (TSPO)-PET change when microglia are cleared. Next, we evaluated the influence of dysfunctional microglia and AD pathophysiology on TSPO-PET ICCs in the mouse brain, followed by translation to a human AD-continuum dataset. We correlated a personalized microglia desynchronization index with cognitive performance. Finally, we performed single-cell radiotracing (scRadiotracing) in mice to ensure the microglial source of the measured desynchronization.

Results
Microglia-depleted mice showed a strong ICC reduction in all brain compartments, indicating microglia-specific desynchronization. AD mouse models demonstrated significant reductions of microglial synchronicity, associated with increasing variability of cellular radiotracer uptake in pathologically altered brain regions. Humans within the AD-continuum indicated a stage-depended reduction of microglia synchronicity associated with cognitive decline. scRadiotracing in mice showed that the increased TSPO signal was attributed to microglia.

Conclusion
Using TSPO-PET imaging of mice with depleted microglia and scRadiotracing in an amyloid model, we provide first evidence that a microglia connectome can be assessed in the mouse brain. Microglia synchronicity is closely associated with cognitive decline in AD and could serve as an independent personalized biomarker for disease progression.
YIPF2 regulates genome integrity
Authors: Zhang Xiao , Wang Tao 
Published: September 2024

AbstractUnderstanding of the mechanisms for genome integrity maintenance can help in developing effective intervention strategies to combat aging. A whole-genome RNAi screen was conducted to identify novel factors involved in maintaining genome stability. The potential target genes identified in the screening are related to the cell cycle, proteasome, and spliceosomes. Unexpectedly, the Golgi protein YIPF2 has been found to play a critical role in maintaining genome stability. The depletion of YIPF2 hinders the process of homologous recombination (HR) repair, which then triggers DNA damage response mechanisms, ultimately leading to cellular senescence. The overexpression of YIPF2 facilitated cellular recovery from DNA damage induced by chemotherapy agents or replicative senescence-associated DNA damage. Our findings indicate that only the intact Golgi apparatus containing YIPF2 provides a protective effect on genome integrity.
Study on the Diffusion Mechanism of Infiltration Grouting in Fault Fracture Zone Considering the Time-Varying Characteristics of Slurry Viscosity Under Seawater Environment
Authors: Wang Hongbo , Yu Yunchang , Zhang Peiyuan , Yang Chunyu , Wen Hao , Zhang Fansheng , Du Sanlin 
Published: September 2024

AbstractFault fracture zones are rock formations commonly encountered in submarine tunnels, and the diffusion mechanism of slurry in fault fracture zones has a crucial impact on submarine tunnel reinforcement. Based on the seepage equation of Bingham fluid, the tortuosity parameter, fractal theory, and variable viscosity equation are introduced to establish a spherical permeation grouting model of Bingham fluid considering the slurry diffusion path and viscosity time variability. The viscosity variation law with time of sulfur aluminate cement slurry under different seawater admixture conditions was tested, and the time-varying equation of viscosity of sulfur aluminate cement slurry was obtained by fitting. A set of fault fracture zone permeation grouting test system was developed, and a fault fracture zone grouting simulation test was carried out. The study shows that the diffusion distance calculated without considering the influence of slurry diffusion path and seawater is 1.63–1.91 times of the test value, which obviously overestimates the diffusion distance; the diffusion distance calculated with considering the influence of diffusion path and seawater is 1.06–1.35 times of the test value, which is in good agreement with the test value. The research results can provide some theoretical support for the design of grouting in seawater environment.
Applications of visible spectral imaging technology for pigment identification of colored relics
Authors: Wei Chun-ao , Li Junfeng , Liu Shiwei 
Published: September 2024

Abstract
Identifying pigments from colored relics is essential for their color restoration and for facsimile creation. A workflow for identifying pigment information is constructed based on visible spectral imaging technology, aligned with the drawing process of colored relics. This workflow includes three steps: boundary extraction, material identification and prediction of mixture proportions. The methods for segmenting visible spectral images, identifying chemical compositions, and predicting mixture proportions of pigments are extensively reviewed. Future research trends of these methods are also analyzed. The influence of the pigment particle size is currently underexplored but can be accomplished by multidisciplinary research.
Improving post-injury follow-up survey response: incorporating automated modalities
Authors: Scheuer Hannah , Conrick Kelsey M. , Mills Brianna , Solano Esther , Arbabi Saman , Bulger Eileen M. , Dotolo Danae , Vil Christopher St. , Vavilala Monica S. , Rowhani-Rahbar Ali , Moore Megan 
Published: September 2024

Abstract
Background
Incorporating post-discharge data into trauma registries would allow for better research on patient outcomes, including disparities in outcomes. This pilot study tested a follow-up data collection process to be incorporated into existing trauma care systems, prioritizing low-cost automated response modalities.

Methods
This investigation was part of a larger study that consisted of two protocols with two distinct cohorts of participants who experienced traumatic injury. Participants in both protocols were asked to provide phone, email, text, and mail contact information to complete follow-up surveys assessing patient-reported outcomes six months after injury. To increase follow-up response rates between protocol 1 and protocol 2, the study team modified the contact procedures for the protocol 2 cohort. Frequency distributions were utilized to report the frequency of follow-up response modalities and overall response rates in both protocols.

Results
A total of 178 individuals responded to the 6-month follow-up survey: 88 in protocol 1 and 90 in protocol 2. After implementing new follow-up contact procedures in protocol 2 that relied more heavily on the use of automated modalities (e.g., email and text messages), the response rate increased by 17.9 percentage points. The primary response modality shifted from phone (72.7%) in protocol 1 to the combination of email (47.8%) and text (14.4%) in protocol 2.

Conclusions
Results from this investigation suggest that follow-up data can feasibly be collected from trauma patients. Use of automated follow-up methods holds promise to expand longitudinal data in the national trauma registry and broaden the understanding of disparities in patient experiences.
Rural adolescent attitudes and use of helmets while riding ATVs, motorcycles and dirt bikes
Authors: Jennissen Charles A. , Karunatilaka Sehansa R. , Iverson Brianna J. , Spolsdoff Devin E. , Wetjen Kristel M. , Vergara Brenda , Landers Shannon R. , Hoogerwerf Pam J. 
Published: September 2024

Abstract
Background
Head injuries are the most common cause of death in some motorized vehicles for which helmet use can significantly decrease the risk. Our objective was to determine rural adolescents’ attitudes regarding helmets and their use while riding ATVs, motorcycles and dirt bikes.

Methods
A convenience sample of 2022 Iowa FFA (formerly Future Farmers of America) Leadership Conference attendees were surveyed. After compilation, data were imported into the statistical program, R (https://www.R-project.org/). Descriptive statistics, contingency table, logistic regression and non-parametric alternatives to ANOVA analyses were performed.

Results
1331 adolescents (13–18 years) participated. One half lived on a farm, 21% lived in the country/not on a farm and 28% were from towns. Nearly two-thirds (65%) owned an ATV with 77% of all having ridden one in the past year. Farm residents had the highest ATV ownership (78%) and having ridden (80%) proportions, both p < 0.001. Overall, ownership and ridership for motorcycles (22% and 30%, respectively) and dirt bikes (29% and 39%, respectively) was significantly less than ATVs, all p < 0.001. Of ATV riders, those living on farms or in the country/not on a farm rode them more frequently than those from towns, p < 0.001. Higher percentages always/mostly wore helmets when riding dirt bikes (51%) and motorcycles (57%) relative to ATVs (21%), p < 0.001. Those from farms had lower proportions wearing helmets versus those living elsewhere for all vehicles. Helmet use importance ratings (1–10, 10 high) were not different for motorcycles (mean 8.6, median 10) and dirt bikes (mean 8.3, median 10), but much lower for ATVs (mean 6.1, median 6). Females, non-owners, and helmet law supporters all had higher helmet use importance ratings. Males, those from farms, and owners and riders of the vehicles all had lower proportions that supported helmet laws. Support for helmet laws was significantly lower for ATVs (30.7%) than dirt bikes (56.3%) or motorcycles (72.3%), both p < 0.001. Those whose families had strict ATV “No Helmet, No Riding” rules had much higher helmet use and helmet importance ratings.

Conclusions
Our study indicates that the safety culture surrounding helmet use is relatively poor among rural adolescents, especially on farms, and deserves targeted interventions.
Radiomics of multi-parametric MRI for the prediction of lung metastasis in soft-tissue sarcoma: a feasibility study
Authors: Hu Yue , Wang Xiaoyu , Yue Zhibin , Wang Hongbo , Wang Yan , Luo Yahong , Jiang Wenyan 
Published: September 2024

Abstract
Purpose
To investigate the value of multi-parametric MRI-based radiomics for preoperative prediction of lung metastases from soft tissue sarcoma (STS).

Methods
In total, 122 patients with clinicopathologically confirmed STS who underwent pretreatment T1-weighted contrast-enhanced (T1-CE) and T2-weighted fat-suppressed (T2FS) MRI scans were enrolled between Jul. 2017 and Mar. 2021. Radiomics signatures were established by calculating and selecting radiomics features from the two sequences. Clinical independent predictors were evaluated by statistical analysis. The radiomics nomogram was constructed from margin and radiomics features by multivariable logistic regression. Finally, the study used receiver operating characteristic (ROC) and calibration curves to evaluate performance of radiomics models. Decision curve analyses (DCA) were performed to evaluate clinical usefulness of the models.

Results
The margin was considered as an independent predictor (p < 0.05). A total of 4 MRI features were selected and used to develop the radiomics signature. By incorporating the margin and radiomics signature, the developed nomogram showed the best prediction performance in the training (AUCs, margin vs. radiomics signature vs. nomogram, 0.609 vs. 0.909 vs. 0.910) and validation (AUCs, margin vs. radiomics signature vs. nomogram, 0.666 vs. 0.841 vs. 0.894) cohorts. DCA indicated potential usefulness of the nomogram model.

Conclusions
This feasibility study evaluated predictive values of multi-parametric MRI for the prediction of lung metastasis, and proposed a nomogram model to potentially facilitate the individualized treatment decision-making for STSs.
Kuroshio Extension cold-core ring and wind drop-off observed in 2021–2022 winter
Authors: Nagano Akira , Kitamura Minoru , Watari Kensuke , Ueki Iwao 
Published: September 2024

AbstractEnergetic cyclonic mesoscale eddies, which are called cold-core rings and are shed southward from the Kuroshio Extension jet and form closed streamlines, affect the atmosphere through the heat exchange across the sea surface. To investigate the effect of rings on the atmosphere, we performed atmosphere and ocean observations across a cold-core ring centered around 34.5° N, 150.0° E using a research vessel from November 2021 to January 2022 and a shallow-water profiling float from November 23 to 28, 2021. As heat is released from the sea surface, no significant spatial contrast in the sea surface and mixed layer temperatures was detected across the ring. Meanwhile, the sea surface wind was occasionally observed to be weak around the ring, possibly through the air–sea interactions. The wind drop-off maintained a turbulent heat flux small around the ring. The wind field associated with the wind drop-off was examined by the rotary empirical orthogonal function analysis of the satellite sea surface wind data. The minimum of the sea surface wind is found to shift northward relative to the ring center and to be more than approximately 5 m s$$^{-1}$$

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lower than the surrounding region. The shallow-water profiling float deployed around the ring center observed a rapid freshening event in the mixed layer, which can be attributed to the water intrusion from the north of the Kuroshio Extension jet through the interaction with the jet. This suggests that the cold water from the north continually affects the atmosphere without leaving traces in the shipboard sea surface temperature observations.
Exploring time series models for landslide prediction: a literature review
Authors: Ebrahim Kyrillos M. P. , Fares Ali , Faris Nour , Zayed Tarek 
Published: September 2024

Abstract
Introduction
Landslides pose significant geological hazards, necessitating advanced prediction techniques to protect vulnerable populations.

Research Gap
Reviewing landslide time series analysis predictions is found to be missing despite the availability of numerous reviews.

Methodology
Therefore, this paper systematically reviews time series analysis in landslide prediction, focusing on physically based causative models, highlighting data preparation, model selection, optimizations, and evaluations.

Key Findings
The review shows that deep learning, particularly the long-short-term memory (LSTM) model, outperforms traditional methods. However, the effectiveness of these models hinges on meticulous data preparation and model optimization.

Significance
While the existing literature offers valuable insights, we identify key areas for future research, including the impact of data frequency and the integration of subsurface characteristics in prediction models.