bluuebunny/crossref_metadata_2025_split huggingface dataset:
Prediction of Normalized Shear Modulus and Damping Ratio for Granular Soils Over a Wide Strain Range Using Deep Neural Network Modelling
Authors: Bayat Meysam , Mousavi Zohreh , Li Ai-Guo , Yin Zhen-Yu , FENG Wei-Qiang 
Published: October 2023

Abstract
Dynamic properties (i.e., shear modulus and damping ratio) of geomaterials play a vital role in civil engineering applications and are essential for reliable dynamic response analysis. This paper presents a novel approach for predicting the normalized shear modulus (G/Gmax) and damping ratio (D) of granular soils across a wide strain range using a Deep Neural Network (DNN) modeling strategy. Traditional methods for predicting these properties often rely on empirically derived relationships that may not capture the full complexity of granular soil behavior under varying strain conditions. A comprehensive dataset of shear modulus and damping ratio measurements from laboratory cyclic triaxial (CT) and resonant column (RC) tests conducted under various conditions is utilized. The dataset covers a wide range of strain levels, allowing for a more robust and versatile modeling approach. For predicting the G/Gmax and D of granular soils, a Deep Feed-Forward Neural Network (DFFNN) model was developed to learn the features from input data. The proposed model considers the influence of grading characteristics (Gravel Content, GC, median particle size, D50, Uniformity Coefficient, Cu, and Coefficient of Curvature, Cc), shear strain (\(\gamma\)), void ratio (e), mean effective confining pressure (\({\sigma ^{\prime}_m}\)), consolidation stress ratio (KC) and specimens’ preparation method (S-P) as input data. The empirical models (EMs) and three other intelligent techniques, namely Shallow Neural Network (SNN), Support Vector Regression (SVR), and Gradient Boosting Regression (GBR) were used for comparison. The testing accuracy of the proposed DFFNN for predicting the G/Gmax and D was 0.9830 and 0.9396, respectively. The results demonstrate that the proposed DFFNN modeling strategy provides a highly accurate means of predicting G/Gmax and D for granular soils across a broad shear strain range. This method offers advantages over EMs by incorporating a data-driven approach that can adapt to the specific behavior of different granular soil types and loading conditions.
Design and Implementation of a High-Level Security Evaluation of Blockchain System
Authors: Qing'an ZHENG , Zhiqiang Xu 
Published: October 2023

Abstract
In recent years, blockchain technology integration and application has gradually become an important driving force for new technological innovation and industrial transformation. While blockchain technology and applications are developing rapidly, the emerging security risks and obstacles have gradually become prominent. Attackers can still find security issues in blockchain systems and conduct attacks, causing increasing losses from network attacks every year. In response to the current demand for blockchain application securitydetection and assessment in all industries, and the insufficient coverage of existing detection technologies such as smart contract detectiontechnology, this paper proposes a blockchain core technology security assessment system model, and studies the relevant detection and assessment key technologies and systems. A security assessment scheme based on a smart contract and consensus mechanism detection scheme is designed. And the underlying blockchain architecture supports the traceability of detection results using super blockchains. Finally, the functionality and performance of the system were tested, and the test results show that the model and solutions proposed in this paper have good feasibility.
Efficacy and safety of a music-therapy facilitated pulmonary telerehabilitation program in COPD patients: The COPDMELODY study protocol
Authors: Shi Minghui , Yang Lulu , Qumu Shiwei , Lei Jieping , Huang Ke , He Ruoxi , Niu Hongtao , Dong Feng , Wang Siyuan , He Jiaze , Yang Ting 
Published: October 2023

Abstract
Background: Despite considerable evidence for the benefit in chronic obstructive pulmonary disease (COPD), the implementation of pulmonary rehabilitation (PR) is insufficient. However, music therapy may help address this gap due to its unique benefits. Therefore, we aimed to develop a music-therapy facilitated pulmonary telerehabilitation program based on rhythm-guided walking, singing, and objective telemonitoring.
Methods: A supervised, parallel-group, single-blinded, randomized controlled clinical trial will be conducted, and 75 patients with COPD are anticipated to be randomized in a 1:1:1 ratio into three groups. The intervention groups will receive a 12-week remotely monitored rehabilitation program, while the usual care group will not receive any rehabilitation interventions. Of the two intervention groups, the multi-module music therapy group will contain rhythm-guided walking and singing training, while the rhythm-guided walking group will only include music tempo-guided walking. The primary outcome is the distance of the incremental shuttle walking test. Secondary outcomes include respiratory muscle function, spirometry, lower extremity function, symptoms, quality of life, anxiety and depression levels, physical activity level, training adherence, and safety measurements.
Discussion: The results of this study can contribute to develop and evaluate a home-based music-facilitated rehabilitation program, which has the potential to act as a supplement and/or substitute (according to the needs) for traditional center-based PR in patients with stable COPD.
Trial registration number: NCT05832814
Reusable self driven microfluidic pump with large pumping capacity for POCT
Authors: Niu Wenjie , Shan Helu , Bai Yunxia , Li Dongsheng , Liu Xuesheng , Wang Yanhao , Zhang Hongyu 
Published: October 2023

Abstract
There is increasing demand for self-driven microfluidics to facilitate the implementation related technology for rapid point-of-care analysis. The driving flow of contemporary single modular micropumps can reach 0–9 µL·min− 1. To improve pumping capacity, pump body has to be stacked; however, this increases the total volume and reduces the driving time. To address this problem, this study proposes a single modular micropump with the following parameters: driving flow of 0.25–22 µL·min− 1, driving time up to 300 min, and volume ≤ 6000 mm3; three contact surface thicknesses of 0.1 mm, 0.3 mm, and 0.5 mm are designed. The pumping capacity varies with the thickness of polydimethylsiloxane on the effective contact surface. The pump pressure range is designed to meet different pump pressure requirements. Fluid experiments are demonstrated, such as mixing and bisection of microfluidic channels, and various performance parameters of the self-driven micropump are evaluated. As proof of concept, a self-driven colorimetric test for starch detection is demonstrated.
Spatial Network Connectivity Research of Luanchuan Tourism specialized Villages in Henan
Authors: Hu Yujie , Jiang Kailun , Chen Zhun , Chen Taizheng , Wang Wei 
Published: October 2023

Abstract
Tourism specialized villages serve as essential spatial carriers for the implementation of the rural revitalization strategy. This study, using Luanchuan County in Henan Province as a case study area, employed a modified location advantage model and social network analysis to explore the spatial network structure characteristics of tourism specialized villages in Luanchuan County from 2010 to 2020. The research findings are as follows:The overall density of the spatial network of tourism specialized villages shows an increasing trend. Spatial connections have gradually become more complex and denser. However, the overall network density is not particularly high, indicating the need for further strengthening of connection intensity.Each tourism specialized village plays different roles and functions within the spatial network. Dominant tourism specialized villages in the network tend to cluster together in block-shaped aggregations, and they exhibit a strong "trickle-down effect" on surrounding villages.
Quality of care provided to sick children in health facilities in Ethiopia: a systematic review
Authors: Bayou Negalign Berhanu , Tesfaye Biruk Hailu , Gelaye Kassahun Alemu , Worku Alemayehu , Haneuse Sebastien , Tadesse Lisanu , Bekele Delayehu , Tolera Getachew , Chan Grace J , Nigatu Tsinuel Girma 
Published: October 2023

Abstract

Background
Despite the increasing number of primary studies on the quality of health care for sick children in Ethiopia, the findings have not been systematically synthesized to inform quality improvement in policies or strategies. This systematic review synthesized published evidence on the quality of care provided to sick children in Ethiopia's health facilities and on related barriers and enablers.
Methods
We searched studies that measured the structure, process, and outcome measures of quality of care as proposed by Donabedian’s framework. We searched in PubMed/Medline, EMBASE, and Web of Science using the Population, Concept, and Context (PCC) framework. Grey literature was searched in Google Scholar and institutional websites. We appraised the studies’ quality using the Mixed Method Quality Appraisal Tool version 2018. Data were analysed using content thematic analysis and presented using a narrative approach.
Results
We included 36 of 701 studies. Thirty (83.3%) were nonexperimental including 21 (70%) cross-sectional studies and 5 (16.7%) qualitative studies. Of the 31 facility-based studies, 29 (93.5%) were conducted in public facilities. The structural, technical and interpersonal processes of care were low quality. While some studies reported the effectiveness of interventions in reducing child mortality, the uptake of services and providers’ and caretakers’ experiences were suboptimal. The major structural barriers to providing quality care included inadequacy of essential drugs, supplies and equipment, training, clinical guidelines, and ambulance services. Caretakers’ non-compliance to referral advice was a common demand-side barrier. The enabling factors were implementing various health system strengthening interventions including quality improvement strategies such as user-centered service delivery and optimizing engagement of community-level structures such as health promotors and religious leaders to create demand.
Conclusion
The quality of care provided to sick children in health facilities is generally low in Ethiopia. Structural barriers were common constraints to quality care provision. Health systems strengthening and quality improvement interventions were identified as enablers. More research is needed on the quality of care provided in private facilities.
Contact Problem for an Interface Crack Under Action of a Moving Punch
Authors: Kudish Ilya , Sahakyan Avetik , Hakobyan Vahram , Amirjanyan Harutyun 
Published: October 2023

Abstract

Nowadays coatings are used in many applications to reduce contact friction, reduce energy losses, improve wear and pitting resistance etc. in various machine parts. In some cases coating applications are limited due to coating delamination. The latter is caused by a crack growth due to cyclic loading along a coating interface with the substrate. The paper is focused on modeling and analyzing the behavior of interface cracks between a coating and a substrate. A flat rigid punch subjected to normal and tangential loading is slowly moving along the solid surface. The solid is represented by an elastic half-plane covered by two elastic layers bonded to each other and to the substrate. The elastic materials of the coatings and the substrate are homogeneous but different. The thickness of the layer adjacent to the substrate is considered to be (significantly) smaller than the one above it. This thin layer plays the role of the interface between the other one and the substrate. The interface layer has a crack parallel to its surface and located in the middle of it. The crack surfaces are free from friction and can partially open/closed or completely open/closed. Some numerical results for the crack stress intensity factors and other solution parameters are presented for cracks small and comparable in size with the punch contact region. Insert your abstract here. Include keywords, PACS and mathematical subject classification numbers as needed.
Mathematics Subject Classification (2020) MSC 74A45 · MSC 74G70 · MSC 65R20
Association between estimated pulse wave velocity and in-hospital and one-year mortality of patients with chronic kidney disease and atherosclerotic heart disease: a retrospective cohort analysis of the MIMIC-IV database
Authors: Cui Xinhai , Shi Huishan , Hu Yuanlong , Zhang Zhiyuan , Lu Mengkai , Wu Jibiao , Li Chao 
Published: October 2023

Abstract
Background Carotid-femoral pulse wave velocity has been identified as an autonomous predictor of cardiovascular mortality and kidney injury. This important clinical parameter can be non-invasively estimated using the calculated pulse wave velocity (ePWV). The objective of this study was to examine the correlation between ePWV and in-hospital as well as one-year mortality among critically ill patients with chronic kidney disease (CKD) and atherosclerotic heart disease (ASHD).Methods This study included a cohort of 1173 patients diagnosed with both CKD and ASHD, sourced from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The four groups were compared using a Kaplan-Meier survival curve to assess variations in survival rates. Cox proportional hazards models were employed to analyze the correlation between ePWV and in-hospital as well as one-year mortality among critically ill patients with both CKD and ASHD. To further investigate the dose-response relationship, a restricted cubic splines (RCS) model was utilized. Additionally, stratification analyses were performed to examine the impact of ePWV on hospital and one-year mortality across different subgroups.Results The survival analysis results revealed a negative correlation between higher ePWV and survival rate. After adjusting for confounding factors, higher ePWV exhibited a statistically significant association with an increased risk of both in-hospital and one-year mortality among patients diagnosed with both CKD and ASHD (HR = 5.32, 95% CI = 1.92–14.71, P = 0.010; HR = 1.91, 95% CI = 1.07–3.39, P = 0.031). The analysis incorporating an RCS model confirmed a linear escalation in the risk of both in-hospital and one-year mortality with rising ePWV values (P for nonlinearity = 0.251; P for nonlinearity = 0.646).Conclusions Elevated ePWV was strongly correlated with an elevated mortality risk in patients diagnosed with both CKD and ASHD. Additionally, the ePWV was found to independently predict both in-hospital and one-year mortality in critically ill patients with coexisting CKD and ASHD.
Inhibition of caspases 3/6 and cathepsins L/B decreases apoptosis caused by laminopathy in Alzheimer’s disease
Authors: Rustamzadeh Auob , Tafakhori Abbas , Ariaei Armin , Heydari Mahdi , Shah-abadi Mehran Ebrahimi , Seif Farhad 
Published: October 2023

Abstract
Background
Laminopathy is one of the pathological manifestations of Alzheimer’s disease, leading to neuron apoptosis. We aimed to evaluate the inhibitor enzymes potentially involved in laminopathy.
Methods
The mRNA expression of the cathepsins L and B, caspases 3 and 6, lamins b1 and b2, granzymes A and B, and lamins A and C were extracted and analyzed from GSE5281 and GSE28146 datasets. A total number of 143 ligands structurally similar to the inhibitors of selected enzymes were implemented through molecular docking. Subsequently, 100 ns molecular dynamics (MD) with NAMD and Martini 3 were performed for two selected ligands.
Results
The expression level of the mRNAs highlighted caspase 6 and lamin A/C upregulation in the hippocampus of the AD samples, in contrast to cathepsin B, lamin b2, and caspase 3. Moreover, there was a strong correlation between the expression level of cathepsin B, lamin A/C, and caspase 6 in the AD group. Besides, in exploring potential inhibitors for the enzymes involved in the laminopathy, molecules with PubChem id of 608841, and ChEMBL id of 550872 were selected. Eventually, the MD results suggested the molecule with PubChem id of 608841 to be more stable in complex with the receptor.
Conclusion
We indicate that lamins A/C, cathepsins B/L, caspase 6, and lamin b2 are associated with laminopathy as the potential factor of apoptosis in AD. We suggest that simultaneous inhibition of caspases 3/6 and cathepsins L/B may decrease the rate of apoptosis triggered by lamin degradation.
AFF-YOLO: A Real-time Industrial Defect Detection method based on Attention Mechanism and Feature Fusion
Authors: Mehta Manas 
Published: October 2023

Abstract
Steel, as a pivotal material in industrial society, demands stringent quality control to ensure its structural integrity and safety. Surface defects in steel pose significant challenges to the manufacturing process, affecting mechanical properties and visual aesthetics. In this paper, we introduce an enhanced version of the YOLOv5 object detection model tailored for the precise identification of surface defects in steel plates. Our proposed architecture incorporates innovative modifications, including the integration of an Effective Channel Attention Network (ECA-Net) specifically within the neck of the network to enhance attention and filtering, allowing the model to focus on relevant steel surface defects while reducing noise and distractions. In addition to the change made in the neck of the architecture, the Bidirectional Feature Pyramid Network (BiFPN) concatenation was added to introduce bidirectional informational flow. Finally, Adaptive Spatial Feature Fusion (ASFF) in the prediction head which enhances feature fusion across different scales, enabling the model to better learn and recognize complex patterns associated with steel defects. These enhancements empower the YOLOv5 network to focus on relevant objects while filtering out distracting information, resulting in improved accuracy and detection speed. To evaluate the model's performance, we conducted experiments using the NEU-DET dataset as a base and then further enhanced it with preprocessing techniques. Our model was compared it with the original YOLOv5 object detection algorithm, and achieved an mAP of 84.7%. Our findings demonstrate a remarkable 6.5% increase in mean Average Precision (mAP) compared to the original YOLOv5 architecture while maintaining an FPS of 97.08 for real-time usage, affirming the effectiveness of our proposed enhancements.
Flotillin-1 as a housekeeping target mediates Nrf2 inhibition of blood–retinal barrier ferroptosis in diabetic retinopathy
Authors: Zhang Jie , Chang Ke , Shangguan Yanyu , Yan Hui , Bai Shanwang , Yu Zicheng , Li Bing 
Published: October 2023

Abstract
Disruption of the blood-retinal barrier causes the development of diabetic retinopathy (DR). The mechanism of damage to retinal pigment epithelial (RPE) cells, retinal microvascular endothelial cells, and related targets is still awaiting in depth studies. In this study, flotillin-1, a key protein downregulated during the progression of DR, was screened by basic bioinformatics and was found to positively regulate Nrf2, which was further investigated and found to regulate the occurrence of SLC7A11-induced(a cystine-glutamate antiporter) ferroptosis. The downregulation of flotillin-1 levels that occurred at the time of DR due to the toxic stimulation of high glucose levels may have acted as a signal housekeeper on the surface of the cell membrane to participate in the bioregulation of intracellular and extracellular, releasing the downstream key sign. This notion was supported by the measured levels of glutathione peroxidase 4(GPX4), a negative regulator protein of ferroptosis and reactive oxygen species(ROS) concentration causing intracellular lipid peroxidation. By contrast, increasing the level of flotillin-1 could alleviate the ferroptosis mechanism of blood-retinal barrier(BRB) related cells and accelerate DR-induced damage to the RPE layer and disruption of the medial microvascular barrier. Thus, downregulation of flotillin-1 at the onset of DR can trigger the onset of SLC7A11-induced ferroptosis in blood-retinal barrier associated cells through downstream transmission of signals to downstream Nrf2, a phenomenon that can be mitigated by upregulating the expression level of flotillin-1. This finding suggests that targeting flotillin-1 can treat the onset and development of DR and improve the prognosis of patients.
Effect of different sugars on non-enzymatic browning and flavor in Choerospondias axillaris composite fruit puree using principal component analysis
Authors: Ye Yang , Xiao Chuanquan , Deng Wenxin , Li Anjiao , Tong Kai , Wang Yang 
Published: October 2023

Abstract
A Non-enzymatic browning reaction of Choerospondias axillaris composite fruit puree has occurred during storage, which diminishes its edibility. In this study, the effects of sucrose, maltose, and glucose on the quality and flavor of fruit puree were investigated by analyzing the changes in non-enzymatic browning-related indicators. The results showed that after 7 days of storage, the highest levels of total phenols (1.578 mg/mL), Vitamin C (3.084 mg/100g), and reducing sugars (1.692 mg/mL) were found in glucose + maltose, sucrose, and maltose, respectively; Sucrose resulted in the lowest browning index (0.268) and pH value (3.29); The lowest HMF content (0.597 mg/L) was observed in the glucose. Changes in the content of various indicators suggest that the degradation of Vitamin C may be the primary mechanism of non-enzymatic browning in the early stages of fruit puree storage. Aroma composition and principal component analysis indicate that the contribution of sweeteners to flavor substances, from highest to lowest, is glucose, maltose, and sucrose. The top four overall score rankings are sucrose, glucose + sucrose, maltose, and glucose + maltose + sucrose.
Adverse Childhood Experiences and Dental Care Utilization During Pregnancy: Findings from the North and South Dakota PRAMS, 2017-2021
Authors: Testa Alexander , Jackson Dylan B. , Crawford Allison , Mungia Rahma , Ganson Kyle T. , Nagata Jason M. 
Published: October 2023

Abstract
Background: Research demonstrates adverse childhood experiences (ACEs)—i.e., experiences of abuse, neglect, and household dysfunction—adversely impact healthcare utilization over the life course. Several studies demonstrate that ACEs are related to lower dental care utilization in childhood and adolescence. However, limited research has explored the connection between ACEs and dental care utilization in adulthood, and no research has examined this relationship during pregnancy. The current study extends existing research by investigating the relationship between ACEs and dental care utilization during pregnancy.
Data: Data are from the 2017-2021 Pregnancy Risk Assessment Monitoring System (PRAMS) North Dakota and South Dakota (n = 7,391). Multiple logistic regression is used to examine the relationship between the number of ACEs and dental care utilization.
Findings: Relative to respondents with 0 ACEs, those with 4 or more ACEs were significantly less likely to report having dental care during pregnancy (OR = 0.745, 95% CI = .628, .883). By racial and ethnic background, the results showed that the significant associations are concentrated among White and Native American respondents.
Conclusions: The results suggest that exposure to 4 or more ACEs is associated with a significantly lower likelihood of dental care utilization in adulthood, and this relationship is concentrated among White and Native American respondents. Further investigations are necessary to understand the mechanisms underlying the relationship between ACEs and dental care utilization and replicate the findings in other geographic contexts.