bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mild endoplasmic reticulum stress alleviates FB1-triggered intestinal pyroptosis via the Sec62-PERK pathway
Authors: Ma Li , Li Zhengqing , Yue Dongmei , Qu Jie , Zhang Ping , Zhang Shuxia , Huang Kehe , Zou Yinuo , Wang Chunfeng , Chen Xingxiang 
Published: May 2024

AbstractFumonisin B1 (FB1), a water-soluble mycotoxin released by Fusarium moniliforme Sheld, is widely present in corn and its derivative products, and seriously endangers human life and health. Recent studies have reported that FB1 can lead to pyroptosis, however, the mechanisms by which FB1-induced pyroptosis remain indistinct. In the present study, we aim to investigate the mechanisms of pyroptosis in intestinal porcine epithelial cells (IPEC-J2) and the relationship between FB1-induced endoplasmic reticulum stress (ERS) and pyroptosis. Our experimental results showed that the pyroptosis protein indicators in IPEC-J2 were significantly increased after exposure to FB1. The ERS markers, including glucose-regulated Protein 78 (GRP78), PKR-like ER kinase protein (PERK), and preprotein translocation factor (Sec62) were also significantly increased. Using small interfering RNA silencing of PERK or Sec62, the results demonstrated that upregulation of Sec62 activates the PERK pathway, and activation of the PERK signaling pathway is upstream of FB1-induced pyroptosis. After using the ERS inhibitor 4-PBA reduced the FB1-triggered intestinal injury by the Sec62-PERK pathway. In conclusion, we found that FB1 induced pyroptosis by upregulating Sec62 to activate the PERK pathway, and mild ERS alleviates FB1-triggered damage. It all boils down to one fact, the study provides a new perspective for further, and improving the toxicological mechanism of FB1.
Graphical Abstract
Serum neurofilament light chain as a prognostic marker of all-cause mortality in a national sample of US adults
Authors: Beydoun May A. , Noren Hooten Nicole , Georgescu Michael F. , Beydoun Hind A. , Eid Shaker M. , Fanelli-Kuczmarski Marie T. , Evans Michele K. , Zonderman Alan B. 
Published: May 2024

AbstractNeurofilament light chain (NfL) is a neuron-specific structural protein released into the extracellular space, including body fluids, upon neuroaxonal damage. Despite evidence of a link in neurological disorders, few studies have examined the association of serum NfL with mortality in population-based studies. Data from the National Health and Nutrition Survey were utilized including 2,071 Non-Hispanic White, Non-Hispanic Black and Hispanic adult participants and adult participants of other ethnic groups (20–85 years) with serum NfL measurements who were followed for ≤ 6 years till 2019. We tested the association of serum NfL with mortality in the overall population and stratified by sex with the addition of potential interactive and mediating effects of cardio-metabolic risk factors and nutritional biomarkers. Elevated serum NfL levels (above median group) were associated with mortality risk compared to the below median NfL group in the overall sample (P = 0.010), with trends observed within each sex group (P < 0.10). When examining Loge NfL as a continuum, one standard deviation of Loge NfL was associated with an increased mortality risk (HR = 1.88, 95% CI 1.60–2.20, P < 0.001) in the reduced model adjusted for age, sex, race, and poverty income ratio; a finding only slightly attenuated with the adjustment of lifestyle and health-related factors. Four-way decomposition indicated that there was, among others, mediated interaction between NfL and HbA1c and a pure inconsistent mediation with 25(OH)D3 in predicting all-cause mortality, in models adjusted for all other covariates. Furthermore, urinary albumin-to-creatinine ratio interacted synergistically with NfL in relation to mortality risk both on the additive and multiplicative scales. These data indicate that elevated serum NfL levels were associated with all-cause mortality in a nationally representative sample of US adults.
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
Authors: Zilker Sandra , Weinzierl Sven , Kraus Mathias , Zschech Patrick , Matzner Martin 
Published: May 2024

AbstractProactive analysis of patient pathways helps healthcare providers anticipate treatment-related risks, identify outcomes, and allocate resources. Machine learning (ML) can leverage a patient’s complete health history to make informed decisions about future events. However, previous work has mostly relied on so-called black-box models, which are unintelligible to humans, making it difficult for clinicians to apply such models. Our work introduces PatWay-Net, an ML framework designed for interpretable predictions of admission to the intensive care unit (ICU) for patients with symptoms of sepsis. We propose a novel type of recurrent neural network and combine it with multi-layer perceptrons to process the patient pathways and produce predictive yet interpretable results. We demonstrate its utility through a comprehensive dashboard that visualizes patient health trajectories, predictive outcomes, and associated risks. Our evaluation includes both predictive performance – where PatWay-Net outperforms standard models such as decision trees, random forests, and gradient-boosted decision trees – and clinical utility, validated through structured interviews with clinicians. By providing improved predictive accuracy along with interpretable and actionable insights, PatWay-Net serves as a valuable tool for healthcare decision support in the critical case of patients with symptoms of sepsis.
Informal and formal long-term care utilization and unmet needs in Europe: examining socioeconomic disparities and the role of social policies for older adults
Authors: Szenkurök Viktoria , Weber Daniela , Bilger Marcel 
Published: May 2024

AbstractThe rising number of older adults with limitations in their daily activities has major implications for the demands placed on long-term care (LTC) systems across Europe. Recognizing that demand can be both constrained and encouraged by individual and country-specific factors, this study explains the uptake of home-based long-term care in 18 European countries with LTC policies and pension generosity along with individual factors such as socioeconomic status. Using data from the Survey of Health, Ageing and Retirement in Europe conducted in 2019, we apply a two-part multilevel model to assess if disparities in use of LTC are driven by disparities in needs or disparities in use of care when in need. While individual characteristics largely affect the use of care through its association with disparities in need, country-level characteristics are important for the use of care when in need. In particular, the better health of wealthier and more educated individuals makes them less likely to use any type of home-based personal care. At the country level, results show that the absence of a means-tested benefit scheme and the availability of cash-for-care benefits (as opposed to in-kind) are strongly associated with the use of formal care, whether it is mixed (with informal care) or exclusive. LTC policies are, however, shown to be insufficient to significantly reduce unmet needs for personal care. Conversely, generous pensions are significantly associated with lower unmet needs, underscoring the importance of considering the likely adverse effects of future pension reforms.
“This Wall Does More for Mental Health than the Uni Does”: Theorising Toilet Graffiti as Safe House for Students
Authors: Victoria Mabel 
Published: May 2024

Abstract
Despite sometimes being considered unworthy of scholarly attention, the study of toilet graffiti, also known as latrinalia, has nevertheless garnered increasing interest among researchers. Graffiti writing still suffers from the stigma of being associated with transgression, vandalism, and a deviant subculture. However, findings from this study show that writing on the restroom wall can facilitate a unique form of communication among the writers. Drawing from semiotic linguistic landscaping and serendipity as methodological inspiration, this research explores data collected from a women's restroom at a UK university over a ten-month period. It examines how restroom users utilized the graffiti-covered wall as a safe house and a repository for their anxieties and concerns. The findings illustrate a palpable emotional connection to this specific wall, where writers seek and offer advice, share personal struggles, and provide mutual support to the extent that they see it as contributing more to their mental health than the university does. Through an analysis of the conversational threads present in the graffiti, this study underscores the potential for examining latrinalia within educational institutions to gain valuable and meaningful insights into the student body. The main implication is for educators to consider innovative, non-traditional ways of reaching out to students outside of the formal spaces of learning such as classrooms and libraries. This study, therefore, encourages us to reconsider toilet graffiti as potentially offering an additional or supplementary communication platform for individuals who might otherwise lack the confidence to express themselves openly through traditional means of soliciting feedback.
The characterization of functional conduction block in patients with multiple types of atrial tachycardia- A discussion on the mechanism of multiple atrial tachycardia
Authors: Zhu Bin , Zhang GuoHua , Xie SongCai , Luan Ying , Cao Wei , Xu Jian , Zhang Shuo , Tian JinWei , Wang Fan , Li ShuFeng 
Published: May 2024

Abstract
Background
High-resolution mapping offers superior accuracy in delineating conduction features; however, certain characteristics are still linked to elevated recurrence rates of atrial tachycardia (AT), suggesting the influence of additional mechanisms. This study systematically assessed the substrate of functional conduction block (FCB) regions in relation to the mechanisms of multiple ATs.

Methods
In this study, the Carto system facilitated the mapping of ATs in 13 patients undergoing ablation, each presenting with more than two AT variants. FCB regions were marked and further analyzed.

Results
A total of 33 sustained ATs were mapped across the patient cohort. FCB regions showed convertibility in 7 of 13 patients (54%). Three kinds of presentations can be summarized by the FCB region: Firstly, the FCB region could act as the main obstacle sustaining the localized reentrant pathway, for which rounding obviously has a direct correlation with the mechanism of the AT (27%). Secondly, the FCB regions could act as obstacle lines to reorganize the propagation of the reentry in localized AT and macroreentrant AT (55%). Lastly, the FCB region could act as a bystander and may not be related to the mechanism of the ATs (18%). The potentials in FCB regions mostly performed low voltages or fragmented potentials (FPs) in the ATs which they did not perform the conduction block (90%).

Conclusion
In multiple ATs, FCB regions may not be uncommon. The participation of FCB regions in the mechanism of ATs showed three different kinds of performance. The dynamic nature of this substrate may provide insight into the reasons for the high recurrence of related ATs.
Patient Information Needs and Decision-Making Before a Cardiac Implantable Electronic Device: A Qualitative Study Utilizing Social Media Data
Authors: Nicmanis Mitchell , Holmes Joshua , Oxlad Melissa , Chur-Hansen Anna 
Published: May 2024

AbstractThe decision to receive a cardiac implantable electronic device (CIED) represents a challenging experience for patients. However, the majority of previous research has only considered retrospective accounts of patient experiences. This study aimed to use social media data to characterize the information sought by people anticipating or considering CIED implantation and factors that influence their decision-making experiences. A Python-based script was used to collect posts made to a community intended for discussions concerning CIEDs on the social media platform Reddit. Reflexive content analysis was used to analyze the collected data. From 799 posts collected, 101 made by 86 participants were analyzed. The reported median (range) age of participants was 34 (16–67), and most were anticipating or considering a pacemaker. Three overarching categories classified the data: “Use of social media to meet informational and other needs”; “Factors influencing acceptance of the need for implantation”; and “Specific concerns considered during decision-making.” Participants anticipating or considering a CIED predominantly sought experiential information. Among asymptomatic participants, doubts were prevalent, with acceptance being an influential factor in decision-making. Healthcare professionals should recognize the informational and emotional needs of prospective CIED patients and tailor support mechanisms to better facilitate their decision-making.
Modeling of low Mach number unsteady turbulent pipe flows
Authors: Di Nucci Carmine , Michele Simone , Di Risio Marcello 
Published: May 2024

AbstractUnder adiabatic conditions, and neglecting temperature variations due to entropy production, we present a set of Reynolds Averaged Navier–Stokes (RANS) equations for fluids of low compressibility, i.e., fluids in the liquid state. In the low Mach number limit, we specialize the RANS equations to the one-dimensional unsteady pipe flow, and we deduce the dimensionless number that plays a predominant role in the flow behavior. We reduce the system of equations to a linear damped wave equation, and use its analytical solution to investigate the propagation of large amplitude pressure waves in liquid-filled pipes (water hammer phenomenon). We test the model reliability by comparing the analytical solution of the proposed model against experimental data available in the literature.
Enhanced collapsible linear blocks for arbitrary sized image super-resolution
Authors: Soma Prathap , Yang Xiaosong , Chang Jian , Zhang Jian Jun 
Published: May 2024

AbstractImage up-scaling and super-resolution (SR) techniques have been a hot research topic for many years due to its large impact in the field of medical imaging, surveillance etc. Especially single image super-resolution (SISR) become very popular because of the fast development of deep convolution neural network (DCNN) and the low requirement on the input. They are achieving outstanding performance. However, there are still problems in the state-of-the-art works, especially from two perspectives: 1. failed at exploiting the hierarchical characteristics from the input, resulting in loss of information and artifacts in the final high resolution (HR) image; 2. failed to handle arbitrary-sized images; the existing research works are focused on fixed size input images. To address these challenges, this paper proposed a residual dense network (RDN) and multi-scale sub-pixel convolution network (MSSPCN) which are integrated into a Collapsible Linear Block Super Efficient Super-Resolution (SESR) network. The RDNs aims to tackle the first challenge, carrying the hierarchical features from end-to-end. An adaptive cropping strategy (ACS) technique is introduced before feature extraction targeting at the image size challenge. The novelty of this work is extracting the hierarchical features and integrating RDNs with MSSPCNs. The proposed network can upscale any arbitrary-sized image (1080p) to ×2 (4K) and ×4 (8K). To secure ground truth for evaluation, this paper follows the opposite flow, generating the input LR images by down-sampling the given HR images (ground truth). To evaluate the performance, the proposed algorithm is compared with eight state-of-the-art algorithms, both quantitatively and qualitatively. The results are verified on six benchmark datasets. The extensive experiments justify that the proposed architecture performs better than other methods and upscales the images satisfactorily.
Compression of electrocardiogram signals using compressive sensing technique based on curvelet transform toward medical applications
Authors: Hassan Ashraf Mohamed Ali , Mohsen Saeed 
Published: May 2024

AbstractElectrocardiogram (ECG) signals can be monitored from many patients based on healthcare systems. To enhance these systems, the ECG signals should be collected and then stored in a cloud platform for later analysis. Hence, ECG signals can be utilized to diagnose heart diseases. However, the ECG signals require great internet capacity. So, compression techniques can be implemented to reduce a memory storage capacity for these signals. One of the potential compression techniques is the compressive sensing (CS). This paper proposes a CS technique to compress ECG signals. This technique is used to reduce sampling rates of the ECG signals to be less than the Nyquist rate. Moreover, a framework is suggested for the compression of maternal and fetal ECG signals. The compression of these signals is based on the curvelet transform (CT) to produce sparsity in ECG signals. The MIT-BIH database are utilized for testing the ECG signals. This database includes several ECG signals with various sampling rates, such as aberrant and normal signals. The proposed CS technique achieved a compression ratio (CR) of 15.7 with an accuracy of 98.2%. Also, a percentage root mean difference (PRD) is utilized to calculate the performance of the reconstructed ECG signals. The achieved value of the PRD is 2.0.
Pattern Control of Neural Networks with Two-Dimensional Diffusion and Mixed Delays
Authors: Luan Yifeng , Xiao Min , Yang Xinsong , Du Xiangyu , Ding Jie , Cao Jinde 
Published: May 2024

AbstractIn this paper, a two-neuron reaction–diffusion neural network with discrete and distributed delays is proposed, and the state feedback control strategy is adopted to achieve control of its spatiotemporal dynamical behaviours. Adding two virtual neurons, the original system is transformed into a neural network only containing the discrete delay. The conditions under which Hopf bifurcation and Turing instability arise are determined through analysis of the characteristic equation. Additionally, the amplitude equations are derived with the aid of weakly nonlinear analysis, and the selection of the Turing patterns is determined. The simulation results demonstrate that the state feedback controller can delay the onset of Hopf bifurcation and suppress the generation of Turing patterns.
Silicon-based ultra-broadband mid-IR and LWIR near-perfect metamaterial absorber
Authors: Abouelez Ahmed Elsayed , Eldiwany Essam A. , Swillam Mohamed A. 
Published: May 2024

AbstractUltra-broadband metamaterial absorbers (UBMAs) that are compatible with CMOS technology for use in the mid-infrared and long-wave infrared regions are crucial for a variety of applications, including radiative cooling, thermal photovoltaic, and thermal imaging. In this regard, we propose, in this work, a design of an UBMA based on the heavily doped silicon (D-Si) and silicon carbide (SiC). The 3D finite-difference time-domain method is used, mainly, to numerically calculate the optical characteristics of the proposed UBMA. The absorber, which is made up of a periodic array of symmetrical multilayered square rings of D-Si and SiC, achieves high absorption with an average absorption of 95% over a wavelength range of 2.5–22 µm. This broad range of wavelength absorption is attained, encompassing the mid-, long-wave, and partial far-infrared regions. In addition to the materials' inherent absorption, the stimulation of magnetic polaritons, surface plasmon polaritons, localized surface plasmon resonance, and cavity resonance are responsible for the nearly perfect broadband absorption. Under normal incidence, the proposed UBMA is polarization-independent due to the symmetrical design of the absorber. Furthermore, the impact of the incidence angle on the absorption of transverse electric and transverse magnetic waves is examined.
Ectomycorrhizal communities of adult and young European larch are diverse and dynamics at high altitudinal sites
Authors: Mandolini Edoardo , Bacher Margit , Peintner Ursula 
Published: May 2024

Abstract

Background/Aims
The European larch is a pioneer tree and a valuable economic resource in subalpine ecosystems, thus playing crucial roles to ecosystem services and human activities. However, their ectomycorrhizal fungal community remains unknown in high altitudinal natural habitats. Here, we explore the mycobiont diversity of Larix decidua var. decidua between naturally rejuvenated and adult trees, compare ectomycorrhizal colonization patterns in geographically disjunct areas within the Alps of South Tyrol, Italy, characterized by distinct climatic conditions, and explore turnover rates across various seasons.

Methods
Our approach combines morphotyping of mycorrhized root tips with molecular analysis. Particular effort was given to monitor both ectomycorrhizal host-specialist and -generalist fungi.

Results
Both adult and young trees show a 100% mycorrhization rate, with a total diversity of 68 ectomycorrhizal species. The ectomycorrhizal composition is dominated by typical host specialists of larch trees (e.g., Lactarius porninsis, Russula laricina, Suillus cavipes, S. grevillei, S. viscidus), which are widely distributed across sites. A rich diversity of host generalists was also detected. The composition of rare species within a habitat was comparatively consistent during one sampling campaign, but exhibited significant differences among individual sampling campaigns. The ectomycorrhizal compositions were only weakly correlated with distinct climatic conditions and tree ages. However, species richness and diversity, particularly of generalist fungi, was consistently higher in warmer, drier sites compared to cooler, more humid ones.

Conclusions
This study suggests potential mycobiont community shifts across climatic conditions with significant implications for the adaptability and resilience of subalpine forests in the face of climate change.
Exploring the potential of root-associated bacteria to control an outbreak weed
Authors: Liu Xiangyu , Vrieling Klaas , Gomes Sofia I. F. , Ossowicki Adam , Lommen Suzanne T. E. , van der Drift Matthijs C. H. , Zwart Froukje A. , Ekas Lennert Sake , de Sousa Tiago X. Mascarenhas , Erol Özlem , Bezemer T. Martijn 
Published: May 2024

Abstract

Aims
The spread of invasive weeds threatens biodiversity and stability of ecosystems. Jacobaea vulgaris is an invasive weed in some countries and an outbreak species in its native European range. Although biological control using specialist herbivores is available, controlling with soil microorganisms remains far less explored.

Methods
Twenty bacteria strains isolated from roots of J. vulgaris were used to examine bacterial effects on seed germination, root morphology and early plant growth. Moreover, we tested direct effects of the bacteria on a specialist herbivore of J. vulgaris, the leaf chewing caterpillar (Tyria jacobaeae), commonly used in biocontrol. We also tested indirect effects of bacteria, via the plant, on the performance of T. jacobaeae and the aphid species Aphis jacobaeae. Lastly, we examined the host specificity of two tested bacteria on three other forbs.

Results
Two Gammaproteobacteria, Pseudomonas brassicacearum and Serratia plymuthica, significantly reduced root growth of seedlings in-vitro, while seed germination was unaffected. However, these negative effects were observed across other forb species as well. Bacillus spp. injection led to the highest T. jacobaeae caterpillar mortality, while ingestion had no effect. Inoculation of the plants with bacteria did not affect aphid performance, but significantly affected T. jacobaeae preference. Specifically, P. syringae and one Bacillus sp. strain significantly increased T. jacobaeae preference.

Conclusions
Our results show that two root-associated bacteria inhibit J. vulgaris growth, but their lack of host specificity restricts their potential for biocontrol. Our study also highlights that belowground microorganisms can hamper or enhance the performance of aboveground insects.