bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of falls on self-rated health and anxiety in Chinese elderly chronic multimorbid patients : moderating role of psychological resilience
Authors: Tang Shaoliang , Xu Jingyu , Mao Xiaoyan , Jiao Huilin , Qian Yuxin , Wang Gaoling 
Published: July 2024

Abstract

Introduction
This study enquired into the effects of falls on self-rated health and anxiety symptoms, and the moderating role of psychological resilience in China's elderly chronic multimorbid patients.
Methods
Data were taken from the 2018 Chinese Longitudinal Healthy Longevity Survey (CLHLS). We used the linear regression model to delve into the association among falls and self-rated health and anxiety symptoms, the moderating roles of psychological resilience was verifed by the moderation analysis, and we also used the replacement model to test the robustness. Finally, the results of the study were further verified by completing the heterogeneity analysis through subgroup regression.
Results
3141 older people with chronic multimorbidity were included in our study. The linear regression results showed that falling behavior was significantly negatively correlated with self-rated health symptoms of Chinese elderly chronic multimorbid patients (β = -0.2017, p < 0.01), and significantly positively correlated with anxiety symptoms (β = 0.7284, p < 0.01). Among the moderating effects, we found that psychological resilience played a moderating role between falling behavior and anxiety symptoms (β = − 0.147 [-0.214, -0.079], p < 0.01). Finally, we found heterogeneity in the study results by gender and place of residence.
Conclusion
The presence of falls tends to make Chinese elderly chronic multimorbid patients develop poorer self-rated health and higher anxiety levels. High levels of psychological resilience have a moderating effect on inhibiting the development of anxiety symptoms.
Progression of vascular complications enhances the formation of advanced glycation end-products in the serum of patients with type 2 diabetes
Authors: Kato Sayuri , Matsumura Takeshi , Sugawa Hikari , Nagai Ryoji 
Published: July 2024

Abstract

Advanced glycation end-products (AGEs) formation increases with metabolic disorders, leading to higher serum AGE levels in patients with progressive vascular complications. Measuring AGE levels in biological samples requires multiple pre-analytical processing steps, rendering analysis of multiple samples challenging. This study evaluated the progression of diabetic complications by analyzing AGE levels using a pre-analytical processing strategy based on a fully automated solid phase-extraction system. Serum samples from patients with diabetes with or without macrovascular complications (Mac or non-Mac) or microvascular complications (Mic or non-Mic) were processed with the established methods, and free and total AGE levels in sera were measured using liquid chromatography coupled to tandem mass spectrometry. In patients with diabetes, free and total AGE levels are elevated in those with complications compared to those without complications. In Mac and Mic groups, free and total AGE levels and z-scores, the sum of the normalized AGE levels, also increased. When distinguishing each complication, AGE z-scores were markedly higher than those of single AGE levels. Our study demonstrated that the free AGE z-score, measured using a new analytical processing method without hydrolysis, was correlated with the presence of vascular complications and therefore may act as a marker of disease complications.
Flood Prediction Using Classical and Quantum Machine Learning Models
Authors: Grzesiak Marek , Thakkar Param 
Published: July 2024

Abstract

This study investigates the potential of quantum machine learning (QML) to improve flood forecasting. We focus on daily flood events along Germany’s Wupper River in 2023. Our approach combines classical machine learning (SVM, KNN, regression, AR models) with QML techniques (Adaboost, Quantum Variational Circuits, QBoost, QSV C_M L). This hybrid model leverages quantum properties like superposition and entanglement to achieve better accuracy and efficiency. Classical and QML models are compared based on training time, accuracy, and scalability. Results show that QML models offer competitive training times and improved prediction accuracy. This research signifies a step towards utilizing quantum technologies for climate change adaptation. We emphasize collaboration and continuous innovation to implement this model in real-world flood management, ultimately enhancing global resilience against floods.
Successful Use of Levosimendan in Managing Refractory Coronary Vasospasm Leading to Recurrent Cardiac Arrests: A Case Report
Authors: Ralota Kristoffer Ken , Wang Wendy , Layland Jamie 
Published: July 2024

Abstract

Background
Coronary vasospasm can be life threatening and can be refractory. First line therapies include calcium channel blockers and nitrates; however, they have variable effectiveness. This case report presents a case of refractory coronary artery vasospasm presenting with ST elevation and recurrent cardiac arrest who was treated with levosimendan, a distinctive inodilator with calcium-sensitising and ATP-sensitive potassium channel opening properties, highlighting its potential therapeutic role in this clinical setting.
Case Presentation:
A 57-year-old male with an established diagnosis of coronary vasospasm presenting with ST elevation in the inferior leads and suffered multiple cardiac arrests, initially treated with electrical defibrillation and advanced life support measures. Angiography showed mild coronary artery disease unchanged from previous angiograms. The patient was managed in the Intensive Care Unit (ICU) with Glyceryl trinitrate (GTN) infusion but continued to have episodes of inferior ST elevations on electrocardiogram (ECG). Given the refractory vasospasm, levosimendan infusion was initiated at 0.2 mcg/kg/min for 24 hours, leading to stabilization with no further episodes and was eventually discharged from hospital.
Conclusions
Levosimendan, with its unique pharmacological profile as a calcium sensitizer and potassium channel opener, offers a promising therapeutic option for managing refractory coronary vasospasm. Its dual action improves cardiac contractility and induces significant vasodilation, addressing the underlying pathophysiology of vasospasm. The presented case highlights the potential of levosimendan in stabilizing patients with refractory coronary vasospasm when conventional therapies fail. Further research and clinical trials are warranted to establish its efficacy and safety profile in a broader patient population.
A di-glycine motif in the cytoplasmic tail of CD3ε required for transmission of allosteric changes in the TCR and full CD3ζ phosphorylation
Authors: Tercero Rut , Bovolenta Elena R. , Martín-Blanco Nadia , Lombard Alice , Alarcón Balbino 
Published: July 2024

Abstract

How the T cell receptor (TCR) recognizes its antigen ligand and transmits this information to the cytoplasm for T cell activation is still a matter of debate. A large body of experimental data suggests that the TCR undergoes allosteric changes upon ligand binding that are responsible for the outside-in transfer of information. One of the hallmarks of TCR allostery is the induced exposure of a proline-rich sequence (PRS) in the cytoplasmic tail of the CD3ε subunit, enabling binding to the cytoplasmic adaptor protein Nck. We show here that a glycine-to-alanine mutation (G169A) in a conserved di-glycine motif upstream of the PRS impairs TCR binding to Nck upon stimulation with an activating antibody. Furthermore, the mutation hinders CD3ε tyrosine phosphorylation and, interestingly, selectively affects CD3ζ subunit phosphorylation at Tyr83. In addition, the G169A mutation impairs the phosphorylation of Lck at Ser59. Taken together, these data support the concept of TCR allostery and highlight the existence of a regulated sequence of interactions between TCR subunits and associated effector proteins.
Antibiofilm, regenerative and bone homeostasis potential of the synergistic association of synoeca-MP peptide with chlorhexidine in oral cavity opportunistic infections
Authors: Barin Ingrid Aquino Reichert , Silva Johnny Carvalho da , Ramos Raquel Figuerêdo , Lima Stella Maris de Freitas , Cantuária Ana Paula de Castro , Silva Poliana Amanda Oliveira , Dantas Elaine Maria Guará Lôbo , Martins Danilo César Mota , Júnior Nelson Gomes de Oliveira , Martinez Osmel Fleitas , de Almeida Jeeser Alves , Ramada Marcelo Henrique Soller , Franco Octávio Luiz , Rezende Taia Maria Berto 
Published: July 2024

Abstract

Objective
To evaluate in vitro the association between synoeca-MP peptide and chlorhexidine, regarding their antimicrobial and antibiofilm activities, saliva stability, effect on tissue repair, bone resorption processes, and mineralized matrix formation.
Methodology
Initially, the minimum inhibitory concentration (MIC), minimum bactericidal concentration (MBC), and antibiofilm concentration were determined. The synergism and degradation of synoeca-MP and chlorhexidine in human saliva were assessed. Furthermore, biocompatibility was evaluated using MTT assays, hemolytic assays, and proliferation and migration assays of periodontal ligament cells. Finally, bone homeostasis was evaluated through osteoclastogenesis assays, alkaline phosphatase determination, and mineralized matrix formation assay with SaOs-2 and ligament cells.
Results
The antimicrobial and antibiofilm activity against the tested microorganisms was confirmed. Low synergistic concentrations of the synoeca-MP and chlorhexidine combination inhibited tested microorganisms. The association of these molecules remained stable in healthy saliva. Nevertheless, it degraded as the severity of periodontal disease increased. Additionally, lower synergistic concentrations of the combination were not cytotoxic to human cells, promoted the proliferation and migration of ligament cells, inhibited osteoclastogenesis, and increased mineral matrix formation of ligament cells and SaOs-2.
Conclusion
Synoeca-MP and chlorhexidine combination shows potential for oral diseases treatment, as evidenced by its antimicrobial activity, regenerative potential, saliva stability, and bone homeostasis. It may be particularly effective for opportunistic oral infections and in conjunction with mechanical therapy.
Clinical relevance
The results obtained allow us to confirm the safety and expected effects of this combination, making it a promising alternative for hospitalized patients.
Photocatalytic Dye Degradation by ZIF-8@BiVO4 Composite
Authors: Senapati Deepak , Swain Jaykishon , Priyadarshini Anulipsa , Das Niharika , Hajra Sugato , Kim Hoe Joon , samantaray Raghabendra , Sinha Jatin , Sahu Rojalin 
Published: July 2024

Abstract

In this research, we investigate the photocatalytic degradation of Congo Red (CR) dye using a novel composite material composed of ZIF-8 and BiVO4 (BVO). The synergistic interaction between ZIF-8 and BVO significantly enhances charge transfer at the interface, thereby reducing electron-hole recombination and substantially boosting photocatalytic efficiency. Characterization of the composite was performed using Powder X-ray Diffraction (PXRD), Field Emission Scanning Electron Microscopy (FESEM), UV-Visible Diffuse Reflectance Spectroscopy (UV-Vis DRS), Thermogravimetric Analysis (TGA), and Fourier Transform Infrared Spectroscopy (FT-IR). Photocatalytic experiments revealed that the Z/BVO-25 composite achieves 94.37% degradation of CR dye under sunlight within 90 minutes, outperforming ZIF-8 (80.74%) and BVO (60.4%) alone. Additionally, the composite demonstrated remarkable stability and reusability, maintaining 86.3% of its initial efficiency after four cycles. This study highlights the potential of integrating photocatalysts with Metal-organic frameworks (MOFs) to significantly enhance photocatalytic performance.
Extracranial Carotid Artery Dissection Induced by Varicella Zoster Vasculopathy: A Case Report
Authors: Li Lina , Cai Jifu 
Published: July 2024

Abstract

Varicella Zoster Virus (VZV), a human neurotropic herpesvirus, can trigger vasculopathy, manifesting as stroke, aneurysm, and arterial dissection. Extracranial carotid artery dissection attributable to VZV is exceptionally rare. This case report describes an immunocompetent patient with unilateral carotid artery dissection and contralateral arterial irregularity, both resulting from VZV reactivation.
Simulation of received Solar Radiation for Energy Consumption and Thermal Comfort in Flexible and Environmental Housing with optimal courtyard in a Csa Climate
Authors: Norouzi Mahsa , Ghafourian Mitra , Barzegar Zahra 
Published: July 2024

Abstract

The adaptability of housing to the resident's needs over time is crucial, relying on the flexibility of the structure, with expanding indoor space to outdoor areas being one of the most suitable methods. On the other hand, outdoor spaces can contribute to providing environmentally compatible housing by reducing energy consumption while ensuring thermal comfort. In flexible and environmental housing, outdoor space (courtyard) plays a crucial role. This research focused on investigating the role of the courtyard in apartment housing from two perspectives: flexibility and environmental compatibility. In flexible and environmental housing, outdoor space (courtyard) plays a crucial role. This research focused on investigating the role of courtyards in apartment housing from two perspectives: flexibility and environmental compatibility. In this regard, the flexibility approach involved expanding housing areas into the courtyard, while the environmental approach entailed determining the optimal direction and position for the courtyard. Environmental parameters such as energy consumption, thermal comfort, and solar radiation were simulated in three selected time intervals using EnergyPlus software. The validation process involved comparing the measurement data with the TES-132 data logger and simulation data. The optimal unit was identified using variance analysis and post hoc testing. Subsequently, the flexibility technique was applied to the optimal unit, and the energy consumption and thermal comfort parameters were compared before and after the implementation. The case study involved three flexible housing units with courtyards in the corners (A), the north and south (B), and the east and west (C) of buildings in a cold climate region in Hamedan. The energy consumption and thermal comfort results in the NW, NE, and SW directions showed similarities across all units. Therefore, the optimal unit for these directions was determined through variance analysis of solar radiation. The solar radiation results on the main walls and courtyards indicated that the courtyard acted as a climatic modifier, compensating for excess and deficiency of solar radiation. The post hoc T-test analysis on solar radiation for the courtyards demonstrated that the optimal unit was assumed to be BNW, CNE, and BSW, while in the SE direction, with all three environmental parameters matching, unit ASE was identified as the optimal one. After implementing flexibility in the optimal unit, the comparison results before and after expansion showed a reduction of 11.7% in energy consumption per capita and 6% in thermal comfort. Flexibility, accompanied by environmental efficiency, ensured that the courtyard continued to serve as a climate regulator and remained environmentally after the expansion of units.
Comparison of Transarterial Chemoembolization vs Radioembolization for Large Unresectable Hepatocellular Carcinoma (&gt;8cm): A Propensity Score Matching Analysis.
Authors: Phan Nhan Hien , Chun Ho Jong , Oh Jung Suk , Kim Su Ho , Choi Byung Gil 
Published: July 2024

Abstract

Objective
This study aimed to compare transarterial chemoembolization (TACE) and transarterial radioembolization (TARE) as first-line treatments for unresectable HCC > 8 cm.
Methods
This retrospective study analyzed 129 HCC patients with tumor diameters greater than 8 cm from January 2010 to December 2021, including 40 patients who received TARE and 89 patients treated with TACE as primary treatment. Following Propensity Score Matching (PSM), 40 patients from each group were harmonized for baseline characteristics. Tumor responses were evaluated using mRECIST criteria, and survival outcomes were compared between treatment groups using Kaplan-Meier curves and the Log-rank test.
Results
There was no significant difference in the objective response rate (ORR) and disease control rate (DCR) at 3, 6, and 12 months between the two groups; ORR and DCR were 72.6%, 83.1% in TACE group vs 72.5%. 87.5% in TARE group for best tumor response (p-values: 0.625 and 0.981, respectively). Overall survival (OS) and progression-free survival (PFS) between the two groups were comparable pre- and post-PSM. After PSM, the OS was 33.2 months (20.0-58.6) in TACE group and 38.1 months (13.8–98.1) in TARE group (p = 0.53), while PFS was 11.5 months (7.7–18.4) and 9.1 months (5.2–23.8) respectively. After PSM, post-embolization syndrome developed more in TACE group (100% vs. 75%, p = 0.002). Major adverse events were 72% in TACE group vs. 5% in TARE group (p < 0.001).
Conclusions
TARE and TACE offer comparable efficacy in managing large HCC, with TARE providing a safer profile, suggesting its consideration as a preferable initial therapeutic approach for unresectable HCC patients with tumors larger than 8 cm.
AnimeINR: Spatio-Temporal Implicit Neural Representation for Arbitrary-Scale Animation Video Super-Resolution
Authors: Jiang Qin , Wang Qinglin , Chi Lihua , Deng Zhengqiu , Chen Xinhai , Tang Binbing , Lv Shaohe , Deng Jinsheng , Zhou Richard , Liu Jie 
Published: July 2024

Abstract

Existing methods for video super-resolution (VSR) and video frame interpolation (VFI) primarily concentrate on devising a general pipeline suitable for open-domain videos. However, these approaches tend to overlook the inherent distinctions in animation data. Specifically, animation often features lines and smooth areas that lack textures, thereby complicating the estimation of inter-frame motions. Moreover, the exaggerated expressions common in animation introduce non-linear and highly altered motion characteristics, which can significantly limit the performance of existing methods when applied to the animation domain.In this paper, we present the first attempt to tackle the challenge of Implicit Neural Representation for achieving Space-Time Video Super-Resolution (STVSR) at arbitrary spatial and temporal scales within the animation domain. To this end, we propose a novel unified pipeline named AnimeINR, comprising three specialized modules: the Spatial Implicit Neural Representation, which defines a continuous feature domain for decoding arbitrary-scale 2D spatial coordinates into corresponding features; the mask-guided Motion Latent Learning module, which predicts motion flow between adjacent frames to enable accurate feature warping; and the Temporal Implicit Neural Representation module, which applies 3D sampling to extract relative spatial and temporal information and decode them into RGB values. Additionally, we have curated a real-world animation video dataset to evaluate the performance of state-of-the-art STVSR methods. Experimental results demonstrate that our AnimeINR framework achieves superior performance in animation STVSR across arbitrary scales.
A graph residual generation network for node classification based on multi-information aggregation
Authors: Liang Zhenhuan , Jia Xiaofen , Han Xiaolei , Zhao Baiting , Feng Zhu 
Published: July 2024

Abstract

The key to improving the performance of graph convolutional networks (GCN) is to fully explore the correlation between neighboring and distant information. Aiming at the over-smoothing problem of GCN, in order to make full use of the relationship among features, graphs and labels, a graph residual generation network based on multi-information aggregation (MIA-GRGN) is proposed. Firstly, aiming at the defects of GCN, we design a deep initial residual graph convolution network (DIRGCN), which connects the initial input through residuals, so that each layer node retains part of the information of the initial features, ensuring the localization of the graph structure and effectively alleviating the problem of over-smoothing. Secondly, we propose a random graph generation method (RGGM) by utilizing graph edge sampling and negative edge sampling, and optimize the supervision loss function of DIRGCN in the form of generation framework. Finally, applying RGGM and DIRGCN as inference modules for modeling hypotheses and obtaining approximate posterior distributions of unknown labels, an optimized loss function is obtained, we construct a multi-information aggregation MIA-GRGN that combines graph structure, node characteristics and label joint distribution. Experiments on benchmark graph classification datasets show that MIA-GRGN achieves better classification results compared with the benchmark models and mainstream models, especially for datasets with less dense edge relationships between nodes.
Structural and functional insights from the sequences and complex domain architecture of adhesin-like proteins from Methanobrevibacter smithii and Methanosphaera stadtmanae
Authors: Seedorf Henning , Gupta Anjali Bansal 
Published: July 2024

Abstract

Methanogenic archaea, or methanogens, are crucial in guts and rumens, consuming hydrogen, carbon dioxide, and other fermentation products. While the molecular interactions with other microorganisms are not fully understood, genomic sequences provide clues. The first genome sequences of human gut methanogens, Methanosphaera stadtmanae and Methanobrevibacter smithii, revealed genes encoding adhesin-like proteins (ALPs). These proteins were also found in other gut and rumen methanogens, but their characteristics and functions remain largely unknown. This study analyses the ALP repertoire of M. stadtmanae and M. smithii, using AI-guided protein structure predictions of unique ALP domains. Both genomes encode more than 40 ALPs each, comprising over 10% of their genomes. ALPs contain repetitive sequences, many unmatched in protein domain databases. We present unique sequence signatures of conserved ABD repeats in ALPs and propose a classification based on domain architecture. Our study offers insights into ALP features and how methanogens may interact with other microorganisms.