bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association between volume of lung damage and endoplasmic reticulum stress expression among severe COVID-19 ICU patients
Authors: Renard Domitille , Verdalle-Cazes Mikael , Leprêtre Perrine , Bellien Jérémy , Brunel Valery , Renet Sylvanie , Tamion Fabienne , Besnier Emmanuel , Clavier Thomas 
Published: August 2023

Abstract

Objective and design : single-center retrospective study to explore association between endoplasmic reticulum stress (ERS) and lung damage volume (LDV) among severe COVID-19 patients in intensive unit care (ICU) .Subjects : 63 severe COVID-19 ICU patients with a chest computer tomography 24hours before/after admission.Methods two multivariate linear regression models looking for factors associated with plasma levels of 78kDa-Glucose-Regulated Protein (GRP78; ERS marker) and Interleukin-6 (IL-6; inflammation marker).Results GRP78 was associated with LDV in both multivariate models (β = 22.23 [4.08;40.38]; p = 0.0179, β = 20.47 [0.74;40.20]; p = 0.0423) but not with organ failure (SOFA score) at admission (r = 0.03 [-0.22;0.28]; p = 0.2559). GRP78 was lower among ICU survivors (1539.4 [1139.2;1941.1] vs. 1714.2 [1555.2;2579.1] pg/mL. respectively; p = 0.0297). IL-6 was associated with SOFA score at admission in both multivariate models (β = 136.60 [65.50;207.70]; p = 0.0003, β = 193.70 [116.60;270.90]; p < 0.0001) but not with LDV (r = 0.13 [-0.14;0.39]; p = 0.3219). IL-6 was no different between ICU survivors and non-survivors (12.2 [6.0;43.7] vs. 30.4 [12.9;69.7] pg/ml. respectively; p = 0.1857). There was no correlation between GRP78 and IL-6 plasma levels (r = 0.13 [-0.13;0.37]; p = 0.3106).Conclusion Among severe COVID-19 patients, ERS was associated with LDV but not with systemic inflammation, while systemic inflammation was associated with organ failure but not with LDV.
Preparation of palladium-based catalyst by plasma-assisted atomic layer deposition and its applications in CO2 hydrogenation reduction
Authors: Tang Shouxian , Tian Di , Li Zheng , Wang Zhengduo , Liu Bowen , Cheng Jiushan , Liu Zhongwei 
Published: August 2023

Abstract

Supported Pd catalyst is an important noble metal material in recent years due to its high catalytic performance in CO2 hydrogenation. An fluidized-bed plasma assisted atomic layer deposition (FP-ALD) process is reported to fabricate Pd nanoparticle catalyst over γ-Al2O3 or Fe2O3/γ-Al2O3 support, using palladium hexafluoroacetylacetonate as the Pd precursor and H2 plasma as counter-reactant. Scanning transmission electron microscopy exhibits that high-density Pd nanoparticles are uniformly dispersed over Fe2O3/γ-Al2O3 support with an average diameter of 4.4 nm. The deposited Pd-Fe2O3/γ-Al2O3 shows excellent catalytic performance for CO2 hydrogenation in a dielectric barrier discharge reactor. Under a typical condition of H2 to CO2 ratio of 4 in the feed gas, the discharge power of 19.4 W, and gas hourly space velocity of 10000 h− 1, the conversion of CO2 is as high as 16.3% with CH3OH and CH4 selectivities of 26.5% and 3.9%, respectively.
A New Machining Test to Identify Position-independent Geometric Errors of Rotary Axes for Five-axis Machine Tools
Authors: Chen Kejian , Xiang Sitong , Cheng Tao , Zhang Hainan 
Published: August 2023

Abstract

Rotary axes of five-axis machine tools have highly coupled geometric errors, which are crucial factors affecting the machining accuracy. In this study, a new feature workpiece is designed, including two features of arc surface and square groove. Based on the on-machine measurement of the workpiece, five position-independent geometric errors of the two rotary axes can be identified. The cutting and measuring steps of the workpiece are described in detail, the identification principle of each error is revealed, and the uncertainty analysis is carried out. During the identification process, the machining domain and measurement domain of the same feature remain unchanged to eliminate the influence of linear axis errors on the identification results, hence the identification accuracy is improved. In the experimental verification, the result is 90.8% consistent with the ball-bar method, which verifies the feasibility of this method.
Ferroptosis-related genes are involved in the activity of resveratrol against esophageal cancer
Authors: Chen Xiujing , Chen Hongjie , Hu Penghui , Lin Yiguang , Zou Zengcheng , Chen Size 
Published: August 2023

Abstract
Ferroptosis is an iron-dependent programmed cell death closely associated with cancer oncogenesis, and resveratrol could regulate ferroptosis resulting in an anticancer effect. However, how resveratrol regulates ferroptosis leading to anticancer activity in esophageal cancer (ESCA) has not been studied. The targets related to resveratrol, ferroptosis, and ESCA were obtained from databases. The hub targets for resveratrol regulating ferroptosis in ESCA were identified from the protein-protein interaction (PPI) network and performed by functional enrichment analysis. Furthermore, we analyzed the TP53 gene by the Kaplan-Meier Plotter, TIMER2.0, UALCAN, cBioPortal and CAMOIP databases. Finally, the potential targets and mechanisms were validated through in vitro experiments. We screened 43 targets from the databases, with central targets covering TP53, STAT3, PTGS2, RELA, and SRC. The key target for resveratrol regulating ferroptosis-related genes in ESCA was mutant TP53, which was correlated with immune infiltration in ESCA. Validated experiments showed that resveratrol possessed potent activity against ESCA cell line and decreased the cell migration capacity of KYSE30 cells. RT-qPCR results indicated that resveratrol down-regulated the expression of TP53, CCND1, CDK2, STAT3, IL-6, and AKT and up-regulated CDKN1A expression. In conclusion, our data suggest that resveratrol suppressed ESCA by regulating ferroptosis-related genes, such as mutant TP53, and is through signaling pathways involving TP53, STAT3/IL-6, AKT, and the cell cycle, advancing our understanding of the anticancer effect of resveratrol.
Increasing Epigenome-Wide Association Study and Differential Expression Analysis Specificity Through Tumor Microenvironment Correction in Prostate Cancer
Authors: Reynolds Samuel R. , Zhang Ze , Salas Lucas A. , Christensen Brock C. 
Published: August 2023

Abstract
Background:
Among men, prostate cancer (PCa) is the second most common cancer and the second leading cause of cancer death. Etiologic factors associated with both prostate carcinogenesis and somatic alterations in tumors are incompletely understood. While genetic variants associated with PCa have been identified, epigenetic alterations in PCa are relatively understudied. To date, DNA methylation (DNAm) and gene expression (GE) in PCa have been investigated; however, these studies did not correct for cell type proportions of the tumor microenvironment (TME), which could confound results.
Methods:
The data (GSE183040) consisted of DNAm and GE data from both tumor and adjacent non-tumor prostate tissue of 56 patients who underwent radical prostatectomies prior to any treatment. This study builds upon previous studies that examined methylation patterns and GE in PCa patients by using a novel tumor deconvolution approach to identify and correct for cell type proportions of the TME in its epigenome-wide association study (EWAS) and differential expression analysis (DEA).
Results:
The inclusion of cell type proportions in EWASs and DEAs reduced the scope of significant alterations associated with PCa. We identified 2,093 significantly differentially methylated CpGs (DMC), and 51 genes associated with PCa, including PCA3, SPINK1, and AMACR.
Conclusions:
This work illustrates the importance of correcting for cell types of the TME when performing EWASs and DEAs on PCa samples, and establishes a more confounding-adverse methodology. We identified a more tumor-cell-specific set of altered genes and epigenetic marks that can be further investigated as potential biomarkers of disease or potential therapeutic targets.
Dimensional Correlations Between Maxillary Sinus and Nasal Cavity Aiming Implant Supported Rehabilitation: Edentulous Patients Tomographic Study
Authors: Farias Illa Oliveira Bitencourt , Bahia Roberta Rodrigues Casali , Rebello Iêda Margarida Crusoé Rocha , Dantas Juliana Borges de Lima , Medrado Alena Ribeiro Alves Peixoto , Barreto Maurício Andrade , Fernandes Atson Carlos de Souza 
Published: August 2023

Abstract
Objectives: Correlate dimensions of the maxillary sinus and nasal cavity, in addition to evaluate their implications for the implants insertion in the maxilla posterior region.
Materials and Methods: Cross-sectional tomographic study of 58 totally edentulous adult patients, totaling 116 maxillary sinuses. The RadiAnt DICOM Viewer™ 2020.2 (64-bit) software was used to measure basal/alveolar widths and maxillary length, in addition to linear distances from the maxillary sinus and nasal cavity to calculate volumes.
Results: There was no significant correlation between the maxillary sinus nasal cavity volumes (ρ=0.048 / p=0.609). The volume of the nasal cavity showed a significant difference between genders (p=0.007), bigger in males. Greater alveolar and basal maxillary widths correlated with greater maxillary sinus volume. Maxilla length was significantly correlated with nasal cavity volume (ρ=0.425 / p<0.001). Sinus membrane thickness was not significantly associated with maxillary sinus volume. There was no significant correlation between sinus thickness lateral wall and sinus membrane thickness.
Conclusion: Maxillary sinus volume did not present a significant correlation with nasal cavity volume and no correlation was found between these volumes and the age factor.
Clinical relevance: Tomographic analysis of the maxillary sinus and associated anatomical structures, such as the nasal cavity, is the most reliable resource for planning and carrying out implant-supported rehabilitation of the maxilla posterior region.
Ribosomal Protein S6 Kinase 2 (RPS6KB2) is a Potential immunotherapeutic target for cancer with up-regulating pro-inflammatory cytokines
Authors: Ma Qiang , Yang Yipin , Chen Shuwen , Cheng Hao , Gong Peng , Hao Jiqing 
Published: August 2023

Abstract
Tumors are one of the main causes of death in people with illnesses. The therapy of tumors has evolved in recent years along with science and technology, and one such area of drug discovery is developing therapeutic targets for tumor treatment. Finding new pharmacological targets is increasingly urgent since tumor resistance affects how well current medications work. The chromosome 11 gene RPS6KB2 has been implicated in cell cycle regulation and has been found to express at much greater levels in tumor tissue. The association between RPS6KB2 and tumors raises the possibility that this gene could be a target for cancer treatment. Therefore, our study used data analysis and molecular biology methods to examine the potential involvement of RPS6KB2 in tumor therapy carefully. The data demonstrated that RPS6KB2, which has a poor prognosis, is aberrantly expressed in most tumors. Further data showed that RPS6KB2 is involved in tumor cell apoptosis and migration. RPS6KB2 also plays a role in tumor immune processes. We further verified the role of RPS6KB2 in liver cancer, and found that RPS6KB2 can up-regulate pro-inflammatory cytokines. In summary, RPS6KB2 maybe a novel therapeutic target.
CDDO-imidazolide ameliorates sepsis-mediated alveolar macrophage pyroptosis by promoting mitophagy via the Nrf2/PINK1 pathway
Authors: Liu Yajing , Zhao Yupeng , Tang Cijun , Shen Yiru , Liu Chunzheng , Wang Qingxiu , Liu Zhenyuan , Yang Zhongwei , Wang Xiangrui , Hou Lei 
Published: August 2023

Abstract
Background
NLRP3 inflammasome-mediated alveolar macrophage pyroptosis has been reported in promoting sepsis-related acute respiratory distress syndrome(ARDS).The nuclear factor E2-related factor (Nrf2) is involved in regulating NLRP3 inflammasome activation and pyroptosis. CDDO-imidazole (CDDO-Im), a forceful Nrf2 activator, in sepsis-related ARDS is lacking and its underling mechanism are still unclear. In this study, we aim to investigate the effect of CDDO-Im on lung protection and explored its underlying molecular mechanisms.
Methods
CDDO-Im (10, 50, 100nM) and 3-methyladenine (3-MA) were individually added into LPS and ATP stimulated alveolar macrophage cell line J774A.1 pyroptosis model. The Nrf2-/- and Nrf2+/+ mice were administered intraperitoneally with CDDO-Im (3µmol/kg body weight) before cecal ligation perforation surgery.
Results
In vitro studies we found that NLRP3 inflammasome activation mediated pyroptosis and slightly PINK1-meditaed mitophagy in alveolar macrophage cell line J774A.1 cells after LPS and ATP exposure. The autophagy inhibitor 3-methyladenine (3-MA) significantly aggravated NLRP3 inflammasome-mediated pyroptosis in J774A.1 cells by blocking PINK1-meditaed mitophagy. CDDO-Im obviously prevented NLRP3 inflammasome-mediated pyroptosis and HMGB1 release by Nrf2 pathway to enhance mitophagy in J774A.1 cells after LPS and ATP exposure. In vivo studies we found CDDO-Im significantly alleviated sepsis-related ARDS by blocking NLRP3 inflammasome activation via Nrf2 pathway to enhance mitophagy.
Conclusion
Our results demonstrate that CDDO-Im exhibits prominent lung protective role owing to its Nrf2 activation and mitophagy-enhancing properties, which provide a new insight into the strategies of ARDS clinical prevention and treatment.
Assessment of Heavy Metal Contents in Some Common Spices Available in the Local Market of North Shewa Zone, Oromia Regional State, Ethiopia
Authors: Geleta Girma Selale , Adugna Teshome , Regassa Girma 
Published: August 2023

Abstract
The objective of this study was to determine the heavy metal contents of some common spices commercially available in the North Shewa Zone, Oromia region, Ethiopia. Korarima seeds (Aframomumcorrorima), ginger rhizomes (Zingiberofficinale), red pepper fruit (Capsicum annum), and turmeric rhizomes(Curcuma longa) samples were randomly collected from the Fiche open market. These spices samples were digested using a mixture of 3 mL of HNO3 (69–72%) and 1 mL of HClO4 (70%). The content of heavy metals (Fe, Zn, Cu, Cr, Mn, Ni, Cd, and Pb) in spices was determined by inductively coupled plasma-optical emission spectrometry (ICP-OES). The results obtained showed that the concentrations of heavy metals in the korarima, red pepper, ginger and turmeric samples in mg kg− 1 dry weight were in the range of Fe (38.7–98.9), Mn (10.5-257.3), Zn (7.3–29.2), Cu (1.7–6.5), Cr (5.4–9.7), Cd (1.5–2.9), Pb (14.5–28.4) and Ni (3.9–6.7. The heavy metal contents in korarima, red pepper, ginger, and turmeric samples were compared with the maximum values given by the World Health Organisation (WHO) in the vegetables. Accordingly, Fe, Zn, Cu, Cr, Mn, Ni, and Cd values in the spice samples were found to be lower than the maximum limit of WHO, while the levels of Pb in four spices samples were higher than WHO permissible limit. Moreover, Mn (only in ginger) exceeded the maximum allowable concentrations among spices. This study shows that consumption of korarima, red pepper, ginger, and turmeric may have a serious health threat to consumers due to the high content of lead and manganese in spices. Therefore, it is suggested that further study be conducted on spices samples based on the origin of cultivation to determine which hotspot is responsible for high levels of contamination of lead and manganese to protect consumers.
HyperFPGA: An Experimental Testbed for Heterogeneous Supercomputing
Authors: Samayoa Werner Florian , Crespo Maria Liz , Carrato Sergio , Silva Agustin , Cicuttin Andres 
Published: August 2023

Abstract
The HyperFPGA is a scalable SoC-FPGA cluster aimed at exploring new architectures for improved performance and energy efficiency in high-performance computing.Recently, it has become evident that the scaling trend of von Neumann-based supercomputers is unsustainable in terms of energy and performance, stressing a change in the computing paradigm.By exploiting the flexibility, reconfigurability, and programmability offered by the HyperFPGA infrastructure, which combines FPGAs, CPUs, and high-speed general-purpose connectors, it is possible to experiment with novel computing paradigms. The Linux OS and custom drivers, along with a Message Passing Interface (MPI), offer a programmable framework for firmware and task deployment.In addition to describing the design and implementation of the HyperFPGA, we report results obtained by testing its scalability with the N-Queens problem, which is a classic benchmark for evaluating the performance of parallel computing systems.Overall, the testing of the HyperFPGA using the N-Queens problem highlights the platform's ability to handle computationally intensive tasks and demonstrates its suitability for its use in supercomputing.
A new efficient multiobject detection and size calculation for blended tobacco shred using an improved YOLOv7 network and LWC algorithm
Authors: Wang Li , Jia Kunming , Niu Qunfeng , Niu Yang , Ma Wentao 
Published: August 2023

Abstract
Detection of the four tobacco shred varieties, including tobacco silk, cut stem, expended tobacco silk, and reconstituted tobacco shred, and the subsequent calculation of the tobacco shred component ratio and unbroken tobacco shred rate are the primary tasks in cigarette inspection lines. The accuracy, speed and recognizable complexity of tobacco shred images affect the feasibility of practical applications directly in the inspection line field. In cigarette quality inspection lines, there are bound to be a large number of single tobacco shreds and a certain amount of overlapped tobacco shreds at the same time, and it is especially critical to identify both single and overlapped tobacco shreds at once, that is, fast blended tobacco shred detection based on multiple targets. However, it is difficult to classify tiny single tobacco shreds with complex morphological characteristics, not to mention classifying and locating tobacco shreds with 24 types of overlap alone, which poses significant difficulties for machine vision-based blended tobacco shred multiobject detection and unbroken tobacco shred rate calculation tasks. This study focuses on the two challenges of identifying blended tobacco shreds with single tobacco shreds and overlapped tobacco simultaneously in the field application and calculating the unbroken tobacco shred rate. In this paper, a new multiobject detection model is developed for blended tobacco shred images based on an improved YOLOv7-tiny. YOLOv7-tiny is used as the mainframe of the multiobject detection network. The lightweight ResNet19 is used as the model backbone. The original SPPCSPC and coupled detection head are replaced with a new spatial pyramid SPPFCSPC and a decoupled joint detection head, respectively. An algorithm for the two-dimensional size calculation of the blended tobacco shred (LWC) is also proposed, which is applied to blended tobacco shred object detection images to obtain independent tobacco shred objects and calculate the unbroken tobacco shred rate. The experimental results showed that the final detection precision, mAP@.5, mAP@.5:.95, and testing time were 0.883, 0.932, 0.795, and 4.12 ms, respectively. The average length and width detection accuracies of blended tobacco shred samples were -1.7% and 13.2%, respectively. It achieved high multiobject detection accuracy and 2D dimensional size calculation accuracy, which also conformed to the manual inspection process in the field. This study provides a new efficient implementation method for multiobject detection and size calculation of blended tobacco shreds in the field of cigarette quality inspection lines and a new approach for other similar blended image multiobject detection tasks.
The role of psychological flexibility components in predicting anxiety and insomnia severity
Authors: Nikzadi Hanieh , Zakiei Ali , Ahmadi Vahid 
Published: August 2023

AbstractObjectives Insomnia and anxiety are prevalent disorders that often co-occur in individuals, making it important to study these disorders. Therefore, our aim was to investigate the predictive role of psychological flexibility components in anxiety and insomnia severity among university students. Methods For this study, a descriptive-correlational design was employed, and a sample of Iranian university students was selected to complete the questionnaires. Ultimately, data analysis was conducted for 393 individuals, using statistical methods such as Pearson correlation and multiple regression analysis. Results The results showed that there is a relationship between the total score of psychological flexibility and anxiety and insomnia severity, and there is a relationship between psychological flexibility components (except for experiential avoidance) and insomnia severity and anxiety. Additionally, the results indicated that regression models based on psychological flexibility components for prediction of insomnia severity and anxiety are significant. Conclusion Based on the research results, it can be said that there is a relationship between psychological flexibility and anxiety, sleep quality, and the insomnia severity. The strength of this relationship is greater in the defusion than in other ACT components. This is an important point that should be considered by therapists in the treatment of anxiety, insomnia, and sleep quality improvement.
Analytical Solutions for the Guided Modes of Rectangular Silicon Optical Waveguides
Authors: RAMADAN TAREK A. 
Published: August 2023

Abstract
Marcatili’s analytical solution for the guided modes of rectangular optical waveguides (ROWGs) depends on (1) using the separation of variables (SOVs) and (2) applying the paraxial approximation. It results in two classes of modes: the TE-like and the TM-like modes which are supported by these waveguides. These modes are uncoupled under low-index-contrast conditions. In the case of silicon-on-insulator (SOI) waveguides, the coupling between them can no longer be neglected. This paper extends using the SOVs to find analytical modal solutions of SOI-ROWGs. It expands these solutions in quadruples of plane waves and develops a novel non-paraxial scattering model to account for the polarization coupling between these waves under high-index-contrast conditions. This model yields approximate analytical expressions of the field components of the guided modes which are the sum of major and minor Marcatili’s TE-like and TM-like modal fields.
Aerodynamics Simulation of Prototype Car Based on CFD Technology
Authors: Duc Tran Duy , Xuan Duc Pham , Duy Vinh Nguyen 
Published: August 2023

Abstract
The characteristics of the drag and lift coefficients are closely related to the vehicle's fuel economy. For this reason, measuring the car's economy requires an analysis of its aerodynamic performance. The automobile industry and research analyze a vehicle's aerodynamics using various current techniques. One of the techniques uses computational fluid dynamics (CFD) to simulate the flow around the automobile numerically. This article discusses the creation of aerodynamically optimized prototype automobile designs using examples of cars that have competed in local and international contests for fuel-efficient vehicles, such as the Shell Eco-Marathon. The designs are CFD-simulated at speeds ranging from 15 km/h to 60 km/h in 5 km/h increments. The findings are verified using the car body. Results for drag coefficients and lift, pressure, and velocity contours are graphically shown. This demonstrates how aerodynamically effective the prototype car's profile is designed.