bluuebunny/crossref_metadata_2025_split huggingface dataset:
Temporal and spatial evolution mechanism of deformation and failure of lower mining roadway in near residual coal pillar area
Authors: Wang Xiao-He , Wang Jiang-Hao , Yun Qing-Long , Wang Yi-Qing , Wu Jing , Zhang Wen-Bo , Wu Yi-Han , Wang Ji-Qiang 
Published: January 2024

Abstract
In order to demonstrate the temporal and spatial evolution mechanism of deformation and failure of the lower mining roadway in the residual coal pillar area during the mining process of close coal seam, this paper takes the close coal seam mining of Tashan Coal Mine of China Coal Group as the research background, adopts the roof borehole and peeping technology to detect the failure situation of the roof surrounding rock of the roadway, and determines the approximate failure area of the roadway surrounding rock. The stress evolution law of roadway surrounding rock and the failure characteristics of plastic zone are studied by theoretical analysis and numerical simulation. The results show that there is a positive correlation between the size of the plastic zone and the deformation of the surrounding rock, that is, the larger the plastic zone, the more severe the deformation of the surrounding rock. The stress concentration area under the residual coal pillar and the new stress field in the mining face are superimposed on each other, resulting in asymmetric deformation and failure in the surrounding rock of the return air roadway, and the shape is approximately "butterfly". The stress on one side of the surrounding rock will be deflected, resulting in a significant difference in stress concentration on both sides of the roadway, and the extension of asymmetry in the plastic zone will also occur, which will lead to the large asymmetric deformation and failure of the surrounding rock of the roadway.
Research on multi-scale urban natural ventilation climate guidance: A case study in the Shijiazhuang metropolitan area
Authors: Zhang Shuo , Fang Xiaoyi , Cheng Chen , Chen Jing , Guo Fengxia , Yu Ying , Yang Shanshan 
Published: January 2024

Abstract
Optimizing the urban spatial layout is an important guarantee for improving natural ventilation in cities. Based on meteorological observation statistical analysis, numerical model simulation, and remote sensing inversion calculation, a natural ventilation planning technology covering both the city and community scales is proposed and applied in the Shijiazhuang metropolitan area in Hebei Province, China. Meteorological data obtained from observation stations were utilized to analyze local wind speed, direction, and frequency. The results revealed diverse wind characteristics in different regions. Winds blowing from the western mountainous area, characterized by high vegetation coverage, are predominantly west and northwest. This wind is a significant source of clean air and serves as a natural ventilation inlet for Shijiazhuang. In the northern area, winds are primarily northwest and north, while in the southern area, winds are mainly southeast and south. Additionally, there is a notable heat island effect within the second ring road, which has an elliptical shape with the long axis oriented from east to west and the short axis oriented from south to north. This effect shows a clear trend of eastward expansion. Based on this research, six primary ventilation corridors and thirteen secondary ventilation corridors have been established. The direction of these corridors aligns with the local wind patterns, and the width of the corridor is calculated based on the city’s capacity and required ventilation efficiency. Subsequently, an urban climate analysis map (UCAnMap) was developed considering climate sensitivity. Planning recommendations were provided to enhance the urban climate environment and optimize spatial layout in different climate zones. It’s worth nothing that there exists a negative correlation between ventilation efficiency and building height within the blocks. Increasing the height of the buildings will decrease the proportion of comfortable wind zones, and the overall ventilation efficiency of the block will weaken. Based on the principle that the average wind speed ratio is greater than or equal to 0.5, it is concluded that the average building height of a typical block should be controlled within 45 m, which matches the ventilation performance requirements, and these results can also serve as a guide for building parameters that are conducive to ventilation. The ventilation efficiency of the block has a certain negative correlation with the building density. By reducing the building density, the mean wind velocity ratio and the comfortable wind zone ratio of the block can be appropriately increased. If the building density decreases by more than 10%, the proportion of calm wind areas will decrease by about 2–5% compared to the original situation.
Efficacy and Safety of Intravitreal Injection of Conbercept for Moderate to Severe Nonproliferative Diabetic Retinopathy
Authors: Shen Lu , Zheng Yuxiang , Gao Zelan , Li Qirui , Dai Min , Yang Wenchang , Zhang Qiying , Li Dongli , Hu Yijun , Yuan Ling 
Published: January 2024

Abstract
Purpose: To evaluate the efficacy and safety of intravitreal injection of conbercept (IVC) for moderate to severe nonproliferative diabetic retinopathy (NPDR) with or without diabetic macular edema.
Methods: This longitudinal retrospective study enrolled 35 patients (50 eyes) with moderate to severe NPDR and a Diabetic Retinopathy Severity Scale (DRSS) score of 43–53 treated in October 2018–January 2023 at the Department of Ophthalmology, First Affiliated Hospital of Kunming Medical University. The patients underwent three monthly IVC treatments, followed by a pro re nata regimen (3+PRN), and a 2-year follow-up period. Outcomes included best-corrected visual acuity (BCVA), intraocular pressure, central macular thickness (CMT), area of hard exudute (HE), and DRSS scores. The DRSS scores were compared using the Wilcoxon rank-sum test before and after treatment. Systemic and ocular adverse events were recorded to evaluate safety.
Results: From baseline to last follow-up, the mean BCVA increased from 0.41 ± 0.39 to 0.23 ± 0.20 logMAR. The mean CMT decreased from 306.22 ± 77.40 to 297.97 ± 88.15 μm. At 24 months, DRSS scores regressed ≥ 1 stage in 40 eyes (80%), ≥ 2 stages in 28 eyes (56%), ≥3 stages in 10 eyes (20%), and remained unchanged in 6 eyes (12%). In 15 of 27 eyes (55.56%) with DME, the mean area of HE decreased significantly from baseline. No serious systemic adverse events were observed.
Conclusions: IVC is effective and safe for treating moderate to severe NPDR, resulting in a robust regression of DRSS scores.
An analysis of the cutting temperature for the tapping process using the tool-workpiece thermocouple method
Authors: Macedo Nathan Souza , Macedo Camila de Sá , Fortes Reinaldo Clemente , Val Alain Gil Del , Grabon Wieslaw Antoni , Silva Marcio Bacci Da , Pereira Igor Cézar 
Published: January 2024

Abstract
Temperature measurement in machining is complex, with many limitations and restrictions and these are linked to the measurement method and the process in which it will be applied. Tapping is one of the processes that imposes the most restrictions and limitations on temperature measurement methods. The chip-tool interface temperature is important data to feed numerical models and also to help in the analysis of wear problems and breakage of the cutting tap. The objective of this work is to quantify the temperatures found in tapping as a function of some process variables (cutting speed, workpiece material and cutting fluid), to understand how influential these variables are in temperature, since there are no results in the literature. for the threading process, and to show the advantages of adapting the tool-workpiece thermocouple method for the tapping process. The results show a 34% reduction in dry cutting temperature when compared to oil and emulsion conditions.
Improving thermal conductivity of AlSiC composites by post-oxidization of reaction-bonded silicon carbide preforms
Authors: Lin Xinping , Xu Qiang , Deng Tianyou , Yang Bingquan , Chen Liang 
Published: January 2024

Abstract

Aluminum-based silicon carbide (AlSiC) composites with high thermal conductivity were fabricated by post-oxidization of reaction-bonded silicon carbide (RBSiC) preforms in conjunction with vacuum pressure infiltration technology. The study investigated the control of interfacial reactions in conventional sintering and reaction sintering regimes. Conventional sintering introduced a large amount of SiO2, which was detrimental to the thermal conductivity of the AlSiC composite. In contrast, reaction sintering generated β-SiC, which improved the thermal and mechanical properties. An additional post-oxidization process was proposed and applied to the RBSiC preforms to decontaminate the particle interface and prevent the generation of Al4C3. The XRD analysis revealed that the AlSiC composite treated with post-oxidization did not show an Al4C3 signal. Notably, the thermal conductivity of the sample treated with post-oxidization increased by 6.5% compared to the sample that was not treated. The study also analyzed the impact of particle size distribution on volume fraction and thermal properties. The final results showed that the thermal conductivity, coefficient of thermal expansion, bending strength, and bending modulus of AlSiC composites were 237.3 W/m·K, 8.5×10-6/°C, 325 MPa, and 75.9 GPa, respectively.
Revealing the Immune Heterogeneity in Systemic Lupus Erythematosus Based on Multi-Omics Data Analysis
Authors: Liu Hao , Gong Yadong , Liu Mubo , Xiao Ran , Qingqing Ma 
Published: January 2024

Abstract
Systemic lupus erythematosus is an autoimmune disorder characterized by a spectrum of clinical manifestations. With the progress of next-generation sequencing (NGS) technology, novel techniques for sequencing T cell receptors and B cell receptors have emerged. In this study, we employed the computational approach TRUST4 to construct TCR and BCR libraries using a substantial volume of RNA-seq data extracted from the peripheral blood of sepsis patients. Subsequently, we conducted an analysis to assess the clonality and diversity of the immune repertoire associated with this disease. A total of 30 distinct cell types were annotated and subsequently categorized into 12 clusters. SLE group demonstrated an increase in the innate immune responses of CD14 monocytes, CD16 monocytes, Megakaryocytes, NK cells, and Neutrophis in comparison to the HC group. The CellChat analysis findings unveiled four distinct patterns for input signals and four patterns for output signals. The results of trajectory analysis revealed that the majority of cell subsets are positioned in a single developmental stage. Our research results comprehensively demonstrate the dynamic changes of immune cells during the onset of SLE, and identify specific V and J genes in TCR and BCR that can be used to expand our understanding of SLE.
A parameter-uniform implicit scheme for two-parameter singularly perturbed parabolic problems
Authors: Kumari Parvin , Kumar Devendra , RAMOS HIGINIO 
Published: January 2024

Abstract
A parameter-uniform implicit approach for two-parameter singularly perturbed boundary value problems is constructed. On the solution derivatives, sharp limits are presented. The solution is additionally divided into regular and singular components, limiting the derivatives of these components utilized in the convergence analysis. In the temporal direction, the system of ordinary differential equations produced by the Crank-Nicolson scheme on a uniform mesh is further discretized in the spatial direction by employing a finite difference technique on a selected Shishkin mesh. Through a rigorous analysis, we establish the theoretical results for two cases: Case I. ε1/ε22 → 0 as ε2 → 0, and Case II. ε22 /ε1 → 0 as ε1 → 0, showing that the technique is convergent regardless of the magnitude of the ε1, ε2 parameters. The order of accuracy in Case I and II are shown to be O((Δt)2 + N−1(lnN)2) and O((Δt)2 + N−2(lnN)2), respectively. Two examples are presented to verify the theoretical results.
AMS subject classifications. 65L10, 65L12, 65L20, 65L70
Novel biomarkers and psoriasis associated cardiovascular risk: a population-based study
Authors: Fernández-Domper Leopoldo , Hernández Jose María Martín , Páramo Jose A. , Alonso Leopoldo Fernández , Belloso Rosa Izu , Casimiro Lucía Martínez , Villaescusa Encarnación Montesinos , Fernández Ángeles Revert , Suarez-Varela Maria Morales 
Published: January 2024

Abstract
Background Despite the established link between psoriasis and cardiovascular risk (CVR), there remains a crucial need for improved risk stratification in this patient population.Material and Methods A descriptive cross-sectional non-controlled study was carried out on patients evaluated in the Dermatology Department of the Valencia University Clinical Hospital between 2017 and 2022. The primary endpoint of our study was to characterize patients diagnosed with moderate to severe psoriasis, focusing on their major adverse cardiovascular events (MACE) as well as new metabolic and hematological parameters, such as triglycerides to glucose (TyG) index, neutrophil to lymphocyte ratio (NLR) and platelet to lymphocyte ratio (PLR).Results A total of 150 patients with moderate to severe psoriasis, defined by a psoriasis area severity index (PASI) > 10 during their evolution, were collected. The mean age was 50.76 years and the mean body mass index (BMI) was 28.62, defining the overweight population. Psoriatic arthritis was present in 14.7%. As CVR factors, 40.7% were smokers, 17.3% had diabetes mellitus, 24% hypertension and 30.7% dyslipidemia. As MACE, 11 acute myocardial infarction (AMI) and 1 stroke were recorded.Conclusion Novel biomarkers such has TGI, NLR or PLR hold great potential in optimizing the management and prevention of cardiovascular diseases in this vulnerable population. Our psoriasis population is similar in clinical and demographic terms, as well as in incidence of metabolic comorbidities and cardiovascular events to other series published to date.
Akhmediev breathers and Kuznetsov-Ma rogue wave clusters of the higher-order nonlinear Schr\"odinger equation
Authors: Nikolic Stanko N. , Aleksic Najdan B. , Belic Milivoj R. 
Published: January 2024

Abstract
In this work, we analyze three types of the rogue wave (RW) clusters for the quintic nonlinear Schrödinger equation (QNLSE) on a flat background. These exact QNLSE solutions, composed of the higher-order Akhmedieav breathers (ABs) and Kuznetsov-Ma solitons (KMSs), are generated using the Darboux transformation (DT) scheme. We analyze the dependence of their shapes and intensity profiles on the three real QNLSE parameters, the eigenvalues, and evolution shifts in the DT scheme. The first type of RW clusters, characterized by the periodic array of peaks along the transverse or evolution axis, is obtained when the condition on commensurate frequencies of DT components is applied. The elliptical RW clusters are computed from the previous solution class when the first m evolution shifts in the DT scheme of order n are equal and nonzero. For both AB and KMS solutions, the periodic structure is obtained with the central RW of order n-2m and m ellipses, containing the first-order maxima, that encircle the central peak. We show that RW clusters built on KMSs are significantly more vulnerable to the application of sufficiently high values of QNLSE parameters, in contrast to the AB case. We next present the non-periodic long-tail KMS clusters characterized by the central rogue wave at the origin and $n$ tails above and below the central (0,0) point containing the first-order KMS. We finally show that the breather-to-soliton conversion, enabled by the QNLSE system, can completely transform the shape of RW clusters, by simply setting the real parts of DT eigenvalues to particular values, while keeping the three quintic parameters, imaginary parts and evolution shifts in the DT scheme intact.
Tapping Into the Human Spinal Locomotor Centres With Transspinal Stimulation
Authors: Skiadopoulos Andreas , Knikou Maria 
Published: January 2024

Abstract
Human locomotion is controlled by spinal neuronal networks of similar properties, function, and organization to those described in animals. Transspinal stimulation affects the spinal locomotor networks and is used to improve standing and walking ability in paralyzed people. However, the function of locomotor centers during transspinal stimulation at different frequencies and intensities is not known. Here, we document the 3D joint kinematics and spatiotemporal gait characteristics during transspinal stimulation at 15, 30, and 50 Hz at sub-threshold and supra-threshold stimulation intensities. We document the temporal structure of gait patterns, dynamic stability of joint movements over stride-to-stride fluctuations, and limb coordination during walking at a self-selected speed in healthy subjects. We found that transspinal stimulation 1) affects the kinematics of the hip, knee, and ankle joints, 2) promotes a more stable coordination at the left ankle, 3) improves interlimb coordination of the thighs, 4) improves intralimb coordination between thigh and foot, 5) promotes greater dynamic stability of the hips, and lastly 6) affects the mechanical stability of the joints. These results support that transspinal stimulation is an important neuromodulatory strategy that directly affects gait symmetry and dynamic stability. The conservation of main effects at different frequencies and intensities calls for systematic investigation of stimulation protocols for clinical applications.
A scalable practice for deep-sea metagenomic studies
Authors: Wang Xiaohan , Ji Qianyue , Song Zewei , Meng Liang , Li Qiye , Gu Ying , Kristiansen Karsten , Liu Shanshan , Han Mo 
Published: January 2024

Abstract
Background
Metagenomic sequencing protocols are increasingly employed in research on deep-sea microbial communities for the purpose of examining their taxonomic makeup and metabolic capabilities. Despite the development and testing of various experimental techniques, commercial kits, and analytical software on mock communities and stool samples, a noticeable gap remains in the systematic evaluation of the entire procedure across a range of diverse deep-sea habitats. Moreover, the growing scale of studies raises a need for an efficient and resource-friendly automated approach to accommodate the increasing demand for throughput.
Results
We conducted evaluations of the entire metagenomic investigation process using samples obtained from three distinct habitats: open ocean water, trench sediments, and cold seep sediments. Our findings revealed that employing automated DNA extraction with a small sample size, along with enzymatic fragmentation-based library construction methods requiring minimal DNA input, could generate high-quality and representative metagenomic sequencing data for samples of different habitats. Notably, k-mer-based profiling tools such as Kraken2 effectively characterized the microbiota composition across all three habitats, demonstrating particular efficacy in the understudied trench sediments. Additionally, integrating various binners, particularly those utilizing co-binning (binning by group-of-samples) algorithms, significantly enhanced the recovery of metagenome-assembled genomes (MAGs). Through this approach, we identified distinct habitat-specific variations in the metabolic potential of a deep-sea Bacteroidia clade.
Conclusions
We established and evaluated an automated method for conducting metagenomic studies in deep-sea environments, designed to be adjustable in resource-constrained settings. This approach is adaptable to various habitats and has demonstrated effectiveness in facilitating taxonomic and functional analysis. Its implementation has the potential to significantly enhance our comprehension of the deep-sea ecosystem.
Association Between eHealth Literacy and Health Outcomes in German Elite Athletes using the GR-eHEALS
Authors: Geiger Sheila , Esser Anna , Marsall Matthias , Muehlbauer Thomas , Skoda Eva-Maria , Teufel Martin , Bäuerle Alexander 
Published: January 2024

Abstract

Background Elite athletes face various sports-related stressors, which may increase their risk for physical and mental health symptoms. With the internet as an important source of (health) information, it is important for athletes to have eHealth literacy, i.e. the ability to access, understand and use electronic health information and services. However, it is presently uncertain whether eHealth literacy of elite athletes is linked to better health outcomes such as reduced injury frequency and behaviours like decreased substance abuse. Methods A cross-sectional study was conducted withN = 373 German elite athletes (229 females) from different types of sport (e.g., ball sports and water sports) who were included in the statistical analyses. The assessment compromised the GR-eHEALS measuring eHealth literacy, medical, sociodemographic, eHealth-related- and sports-related data. Confirmatory factor analyses and correlational analyses were performed to determine the validity of the GR-eHEALS and to assess the relation between eHealth literacy scores and health outcomes. Results The more frequently elite athletes had sustained minor or moderate injuries in the past, the higher the level of eHealth literacy they reported. Furthermore, consumption frequency of painkillers (r = .18,p = .002), sedatives (r = .12,p = .040), and cannabis (r = .29,p = .000) was positively associated with eHealth literacy scores. The confirmatory factor analysis of the GR-eHEALS showed an acceptable model fit with a 2-factor solution (information seeking and information appraisal). The GR-eHEALS showed good discriminant (r = − .09,p = .21) and convergent validity (digital confidence;r = .28,p < .001). Conclusion The GR-eHEALS is a valid instrument to assess eHealth literacy within the cohort of German elite athletes. Potential dangers of dealing with injury and psychological strain without reaching out for professional help should be considered.
Fast high-fidelity flood inundation map generation by super-resolution techniques
Authors: Yin Zeda , Saadati Yasaman , Hu Beichao , Leon Arturo S. , Amini M. Hadi , McDaniel Dwayne 
Published: January 2024

Abstract

Flooding is one of the most frequent natural hazards and causes more economic loss than all the other natural hazards. Fast and accurate flood prediction has significance in preserving lives, minimizing economic damage, and reducing public health risks. However, current methods cannot achieve speed and accuracy simultaneously. Numerical methods can provide high-fidelity results, but they are time-consuming, particularly when pursuing high accuracy. Conversely, neural networks can provide results in a matter of seconds, but they have shown low accuracy in flood map generation by all existing methods. This work combines the strengths of numerical methods and neural networks and builds a framework that can quickly and accurately model the high-fidelity flood inundation map with detailed water depth information. In this paper, we employ the U-Net and generative adversarial network (GAN) models to recover the lost physics and information from ultra-fast, low-resolution numerical simulations, ultimately presenting high-resolution, high-fidelity flood maps as the end results. In this study, both the U-Net and GAN models have proven their ability to reduce the computation time for generating high-fidelity results, reducing it from 7–8 h down to 1 min. Furthermore, the accuracy of both models is notably high.