bluuebunny/crossref_metadata_2025_split huggingface dataset:
Compliant assembly variation modeling for thin-walled structures considering clamping constraints and geometric deviations based on isogeometric analysis
Authors: Liu Jinyu , Li Zhi-Min , Liu Tao , Zhao Yanzheng 
Published: August 2023

Abstract
Geometric deviations and clamping constraints are the two major variation factors in thin-walled structure assembly processes. Geometric deviations are caused by inevitable uncertainties in manufacturing processes and have a significant impact on dimensional control for compliant assembly processes. Due to the flexibility of thin-walled structures, the clamping constraints during assembly greatly affect the compliant deformation of assembled structures. In this paper, a new method based on isogeometric analysis (IGA) considering geometric deviations and clamping constraints is proposed. The geometric deviations of thin-walled structures can be obtained by offsetting along the control points in an ideal part based on Nonuniform Rational B-Splines (NURBS), and the clamping constraints, such as fixture positioning deviations and connection matching deviations, are converted into displacement boundary conditions by the Lagrange multiplier method. Furthermore, the elastic force induced by initial geometric deviations is calculated using Kirchhoff-Love shell elements. Considering the coordination constraint relationship between shape closure and force closure in the compliant assembly process, a variation propagation model is developed using NURBS-based IGA. It integrates geometric deviations and compliant deformations into a unified mathematical representation framework by embedding exact geometry into assembly analysis. In addition, a numerical example is presented to demonstrate the accuracy and effectiveness of the developed method.
FwSSNets: Improving Independent Feature Information Extraction of Neural Network
Authors: Sun Tongfeng , Wang Xiurui , Li Zhongnian 
Published: August 2023

Abstract
Batch Normalization (BN) in neural networks consists of two operations: batch normalization( \(bn\) ) and feature-wise scaling and shifting ( \(FwSS\) ). In general, $bn$ aims to improve model training by normalizing the data and $FwSS$ is believed to restore the representational power of the network. But, this study explores networks with $bn$ from input feature information perspective, including independent and correlated feature information. This paper demonstrates that $FwSS$ effectively captures independent feature information, while connection weight parameters capture correlated feature information. Building upon the principle of $FwSS$, a new network layer called “ \(FwSSLayer\) ” is proposed, which reorders the original basic layer components ( \(Weights\) , $bn$+$FwSS$, and \(f(\cdot)\) ) to create the layer structure of $bn$+$FwSS$+$Weights$+$f(\cdot)$. Moreover, \(FwSSNets\) are implemented using $FwSSLayer$ to assess the performance and role of $FwSS$ in networks. Experimental results on UCI dataset and CIFAR10 confirm that $FwSSNets$ considerably enhance the generalization ability of neural networks.
Steel Surface Defect Recognition using Classifier Combination
Authors: zaghdoudi rachid , Bouguettaya Abdelmalek , Boudiaf Adel 
Published: August 2023

Abstract
The quality control of steel products' surface is of utmost importance, where several inspection techniques and technologies were proposed over the last few years. Traditional manual inspection procedures are facing several limitations and often fall short in ensuring flawlessness. Vision-based strategies for automatic steel surface inspection have emerged as powerful and effective tools to solve various industrial-related problems, including products quality control. Therefore, the current study aims to improve the recognition rate of steel surface defects classification system by introducing a novel classifier combination approach. The proposed system utilizes two distinct feature sets, namely LCCMSP and DCP, which were carefully selected based on a comprehensive comparative study of 19 state-of-the-art texture descriptors, considering both accuracy and time consumption. These generated features are individually fed to two classifiers, SVM and RF, leading to the creation of four base classifiers. In the final step, the Bayesian fusion rule is applied to integrate the outputs of these classifiers, ultimately providing the definitive classification decision. To evaluate the proposed system, two steel surface defects datasets, NEU-CLS and X-SDD, are utilized. The experimental results demonstrate that the proposed combination approach surpasses classical combination methods achieving remarkable outcomes compared to existing steel surface defects classification approaches. This highlights the effectiveness and superiority of the proposed system in accurately identifying and classifying steel surface defects while maintaining fast execution time.
Effect of beam defocusing on porosity formation mechanism and suppression method in laser-MIG hybrid welded titanium alloy joints
Authors: He zhenxing , Zhao Yong , chen fugang , huangfu lesen , Chen guoqiang , Qin yonghui , Song shuming 
Published: August 2023

Abstract
In this paper, laser-MIG hybrid welding was applied to weld TC4 titanium alloy with a thickness of 5 mm. Based on the scanning electron microscopy (SEM) analysis it was determined that the porosity of the laser-MIG hybrid welded joints was mainly process porosity. The evolution of the keyhole under different defocusing amount conditions were observed using a high-speed camera. The influence of the beam defocusing amount on the keyhole stability was analyzed in detail and the formation mechanism of the process-type porosity was elucidated. By adjusting the defocusing amount to stabilize the keyhole morphology, the pores in the weld were eliminated. With the defocusing amounts of + 2, 0, -2, and − 4 mm the keyhole stability was poor. And the highest porosity in the weld was 4.21% when the defocusing amount was − 2 mm. The keyhole only collapsed at the root and the porosity decreased more than 80% when the defocusing amounts were + 4 and − 6 mm. The keyhole was in a stable state and no porosity was generated in the weld when the defocusing amount was + 6mm.
Antipsoriatic evaluation of a novel gel containing Chrysin nanostructured lipid carriers and probiotic in imiquimod induced mice model
Authors: Parveen Shaik Rahana , Wadhwa Sheetu , Vishwas Sukriti , Kumar Bimlesh , Pandey Narendra Kumar , Singh Saurabh , Baghel Dileep Singh , Kumar Ankit , Al-Otaibi Faisal , Alam Aftab , Alawam Abdullah , Alshehri Faez Falah , Oguntibeju Oluwafemi Omoniyi , Chaitanya M.V.N.L. , Paiva-Santos Ana Cláudia , Veiga Francisco , Gupta Gaurav , Chellappan Dinesh Kumar , Dua Kamal , Singh Sachin Kumar 
Published: August 2023

Abstract
Psoriasis is a multifactorial skin disorder. Hence, its treatment using combination of Chrysin (CS) and probiotic (PB) could be effective strategy. In the present study, CS nano structured lipid carriers (NLCs) were prepared by modified hot-homogenisation method followed by sonication. Furthermore, it was converted into the gel after the addition of PB (Bifidobacterium infantis 35624) (BI) in it. The ex-vivo study was carried by Franz diffusion cell. The anti-psoriatic effect of the formulation was evaluated on imiquimod (IMQ) induced psoriatic mice. In addition, biochemical and histopathological analysis was done. The mice were divided into 11 groups (GP(n = 6)). All the groups except GP-1, received IMQ topically for 7 days and then treated as per study design. The groups were - GP-1 (Control), GP-2 (Experimental control), GP-3(Betamethasone cream), GP-4 (Blank NLCs gel), GP-5 (CS gel), GP-6 (CS NLCs gel), GP-7 (PB gel), GP-8 (CS L- PB loaded gel), GP-9 (CS H-PB loaded gel), GP-10(Optimized CS L NLC-PB loaded gel) and GP-11(Optimized CS H NLCs-PB loaded gel). The CS NLCs-PB loaded gel, CS gel alone has shown 30 µg/cm2/h, 50 µg/cm2/h permeability of CS within 24 h and 8h respectively. In the treated groups, GP 11 showed significantly (P < 0.001) higher efficacy by the reduction of psoriatic lesions, TNF-α, splenomegaly and Malonaldehyde when co-related with GP3, GP9, GP8, GP6, GP7 and GP5.The histopathological images of GP 11 revealed about the severe reduction of acanthosis and hyperkeratosis. The successful outcomes of study indicated that CS-NLCs-PB loaded gel was very effective in treating psoriasis in mice.
Seven-year Outcomes of Combined Treatment of Anti-Vascular Endothelial Growth Factor with Photodynamic Therapy for Polypoidal Choroidal Vasculopathy; According to Polypoidal Lesion Regression
Authors: Lee Junwoo , Kim Kiyoung , Kim Eung Suk , Yu Seung-Young , Kang Min Seok 
Published: August 2023

Abstract
Purpose
To evaluate the long-term prognosis of polypoidal choroidal vasculopathy (PCV) treated with anti-vascular endothelial growth factor (anti-VEGF) combined with verteporfin photodynamic therapy (PDT), according to polypoidal lesion regression.
Methods
This study retrospectively reviewed the data of 33 naïve eyes with PCV treated with anti-VEGF combined with verteporfin PDT and followed-up for at least 7 years. The collected data included demographic profile, best-corrected visual acuity (BCVA), central foveal thickness (CFT), PED volume, and presence of submacular hemorrhage. Regression of polypoidal lesion was determined using indocyanine green angiography and optical coherence tomography. All eyes were divided into regression or persistent groups, based on the polypoidal lesion regression one year after the initial combined treatment.
Results
BCVA improvement was maintained for 3 years in the regression (p = 0.001) and 1 year in the persistent (p = 0.006) groups, respectively. The mean BCVA of the regression group was better than that of the persistent group over 7 years, but the difference was significant only at 1 year (p = 0.037). The number of eyes which maintained BCVA less than or equal to 0.3 logMAR at 7 years was 11 eyes (64.7%) in regression group and 4 eyes (25.0%) in persistent group (p = 0.022).
Conclusions
Regression of the polypoidal lesion at 1 year after the initial combination treatment was associated with favorable long-term visual prognosis, particularly in terms of maintaining good visual acuity.
Acute kidney injury in neonates with hypoxic ischemic encephalopathy based on serum creatinine decline compared to KDIGO criteria
Authors: Ahn Haejun C , Frymoyer Adam , Boothroyd Derek B , Bonifacio Sonia , Sutherland Scott M , Chock Valerie 
Published: August 2023

Abstract
Background
Neonates with hypoxic ischemic encephalopathy receiving therapeutic hypothermia (HIE+TH)are at risk for acute kidney injury (AKI). The standardized Kidney Disease Improving Global Outcomes (KDIGO) criteria identifies AKI based on a rise in serum creatinine (SCr) or reduced urine output. This definition is challenging to apply in neonates given the physiologic decline in SCr during the first week of life. Gupta et al. have proposed alternative neonatal criteria centered on the rate of SCr decline. The aim of this study was to compare the rate of AKI based on KDIGO and Gupta in neonates with HIE and to examine associations with mortality and morbidity.
Methods
A retrospective review was performed of neonates with moderate to severe HIE+TH from 2008-2020 at a single center. AKI was assessed in the first 7 days after birth by KDIGO and Gupta criteria. Mortality, brain MRI severity of injury, length of stay, and duration of respiratory support were compared between AKI groups.
Results
Among 225 neonates, 64 (28%) met KDIGO, 69 (31%) neonates met Gupta but not KDIGO, and 92 (41%) did not meet either definition. Both AKI groups had an increased risk of the composite mortality and/or moderate/severe brain MRI injury along with longer length of stay and prolonged duration of respiratory support compared to those without AKI.
Conclusions
AKI in neonates with HIE+TH was common and varied by definition. The Gupta definition based on rate of SCr decline identified additional neonates not captured by KDIGO criteria who are at increased risk for adverse outcomes. Incorporating the rate of SCr decline into the neonatal AKI definition may increase identification of clinically relevant kidney injury.
Integration of risk variants from GWAS with SARS-CoV-2 RNA interactome prioritizes FUBP1 and RAB2A as risk genes for COVID-19
Authors: Shi Weiwen , Chen Mengke , Pan Tingting , Chen Mengjie , Cheng Yongjun , Chen Sheng , Tang Yuanjia 
Published: August 2023

Abstract
The role of host genetic factors in COVID-19 outcomes remains unclear despite of various genome-wide association studies (GWAS). We annotate all significant variants and those variants in high LD (R2 > 0.8) from the COVID-19 Host Genetics Initiative (HGI) and identify risk genes by recognizing genes intolerant nonsynonymous mutations in coding regions and genes associated with cis-expression quantitative trait loci (cis-eQTL) in non-coding regions. These genes are enriched in immune response pathway and viral life cycle. It has been found that host RNA binding proteins (RBPs) participate in different phases of the SARS-CoV-2 life cycle. We collected 503 RBPs that interact with SARS-CoV-2 RNA concluded from in vitro studies. By combining risk genes from the HGI with RBPs, we identify two COVID-19 risk loci that regulate the expression levels of FUBP1 and RAB2A in the lung. Due to the risk allele, COVID-19 patients show downregulation of FUBP1 and upregulation of RAB2A. Using single-cell RNA sequencing data, we show that FUBP1 and RAB2A are expressed in SARS-CoV-2 infected upper respiratory tract epithelial cells. We further identify NC_000001.11:g.77984833C>A and NC_000008.11:g.60559280T>C as functional variants by surveying allele-specific transcription factor sites and cis-regulatory elements and performing motif analysis. To sum up, our research, which associated human genetics with expression levels of RBPs, identifies FUBP1 and RAB2A as two risk genes for COVID-19 and reveals the anti-viral role of FUBP1 and pro-viral role of RAB2A in the infection of SARS-CoV-2.
Antimicrobial potential of class II bacteriocins on gut microbiota species
Authors: Rosenkilde Carola Elisa Heesemann , Vazquez-Uribe Ruben , Lützhøft Ditte Olsen , Sommer Morten Otto Alexander 
Published: August 2023

Abstract
Background:
Bacteriocins are antimicrobial peptides with properties making them applicable for food preservation and pathogen control. However, their impact on the gut microbiota remains understudied. In this study we sought to examine the inhibitory spectrum of 75 class II bacteriocins against 49 representative species of the human gut microbiota including 21 Biosafety level 2 organisms. The bacteriocins were cloned and expressed in Escherichia coli and evaluated in vitro, ex vivo and in vivo.
Results:
In vitro spot assays using Escherichia coli BL21-AI expressing these bacteriocins revealed that 22 bacteriocins inhibited at least one species, with greater efficacy against Gram-positive than Gram-negative species. Two bacteriocins, Actifencin and Bacteroidetocin A, were selected based on their broad spectrum of inhibition for further characterization and applied to murine feces ex vivo. Application of these bacteriocins led to substantial modifications in the composition of the microbial community of murine feces. Yet, these findings could not be replicated in vivo when bacteriocin producing Escherichia coli Nissle strains were dosed to mice.
Conclusions:
This study evaluate the potential and expands our knowledge of the inhibitory spectrum of class II bacteriocins against a large and representative collection of bacterial isolates from the gut microbiota and underscores that further optimization is needed to use bacteriocins in vivofor modulating microbial community composition.
A novel cascade organosolv degumming method for preparation of hemp fibers using glycolic acid and ethanolamine
Authors: Zhao Tao , Xia Wenying , Li Boya , Nie Kai , Zhang Yuanming , Han Guangting , Jiang Wei , Ben Haoxi 
Published: August 2023

Abstract
In an attempt to implement eco-friendly degumming for preparation of hemp fibers. This study developed a cascade organosolv degumming method employing the advantages of both organic acids and organic bases without using any inorganic alkaline reagents. Compared with the degumming process using only glycolic acid (GA) or ethanolamine (ETA), the cascade degumming improved the hemicellulose and lignin removal rates by 20.1% and 139.8%, respectively, under low temperature and short reaction time. Moreover, this work reduced the GA concentration from 20–10%. The FTIR result showed that GA mainly acted on removal of G-type lignin, while ETA mostly removed S-type lignin. In addition, the FTIR and solid-state 13C NMR results showed that the esterification induced by GA was eliminated by ETA in the cascade degumming process. Although the hemp fibers of the cascade degumming exhibited slightly lower tensile strength, the cascade degumming contributed to finer hemp fiber diameter (10.09 dtex) than the alkaline degummed fibers (12.66 dtex). Thus, the cascade degumming has favorable effects in removing gum components and achieving better fiber separation.
Development of colorful graphene-based wearable e-textiles prepared by co-dyeing cotton fabrics with natural dyes and reduced graphene oxide
Authors: Moon Sungwoo , Chae Youngjoo 
Published: August 2023

Abstract
Herein, pre-mordanted cotton fabrics were co-dyed with reduced graphene oxide (rGO) and natural dyes to create eco-friendly and colorful graphene-based wearable electronic textiles (e-textiles), and their physical color attributes were analyzed as functions of dyeing conditions, namely rGO loading (0, 1, 3, 5, and 7% owb), mordant type (Al, Cu, and Fe salts), and natural dye type (cochineal, rhubarb, and gardenia blue). The lightness of the obtained samples increased in the order of cochineal < gardenia blue < rhubarb and was lower for Fe-mordanted textiles than for Al- and Cu-mordanted ones (by 4.91 L*10 on average) regardless of the natural dye and rGO loading. Rhubarb- and gardenia blue–dyed fabrics showed broad chroma and hue dispersions, which indicated that dyeing conditions strongly impacted these color attributes. With increasing rGO loading, the chroma of rhubarb-dyed fabrics substantially decreased, i.e., the color became less saturated. The initial greenish blue color of gardenia blue–dyed fabrics gradually changed to yellowish green and then to yellowish. Furthermore, dramatic overall color changes (ΔECMC(2:1)) occurred with increasing rGO loading regardless of natural dye type, averaging to 7.60, 11.14, 12.68, and 13.56 at rGO loadings of 1, 3, 5, and 7% owb.
The impact of prior knowledge on structure leaning
Authors: Aljohani Eman 
Published: August 2023

Abstract
Graphical models represent conditional independence relationships between variables, including, for example, those between the various symptoms and causes of disease. An important topic in the area of machine learning is learning these types of models from data. In some applications, including information that is not contained in the data, i.e. prior information, is crucial. This paper describes an algorithm for learning Bayesian network (BN) structure from data using prior knowledge. The aim of this research is to design an efficient algorithm that utilises prior knowledge in a manner that allows users to express what they know about the problem domain. In this aspect, we developed local search algorithm using prior knowledge (LSPK). This paper proposed algorithms for Bayesian network structure learning, which is described as an optimisation problem. A search-and-score approach was followed, which built upon a Local move algorithm and using the Bayesian Dirichlet likelihood equivalence (BDe) as a scoring metric. We demonstrated the effect of including ancestor relations prior knowledge and conditional independence. The results show that the effects of prior knowledge typically had a positive effect on learning.
R1. Improvement of central vein ultrasound guided puncture success using a homemade needle guide. A simulation study
Authors: Villa Antoine , Hermand Vladimir , Bonny Vincent , Preda Gabriel , Urbina Tomas , Gasperment Maxime , Gabarre Paul , Missri Louai , Baudel Jean-Luc , Zafimahazo Daniel , Joffre Jérémie , Ait-Oufella Hafid , Maury Eric 
Published: August 2023

Abstract
Background: Out-of-plane (OOP) approach is frequently used for ultrasound-guided insertion of central venous catheter (CVC) owing to its simplicity but does not avoid mechanical complication. In-plane (IP) approach might improve safety of insertion; however, it is less easy to master. We assessed, a homemade needle guide device aimed to improve CVC insertion using IP approach.
Method: We evaluated in a randomized simulation trial, the impact of a homemade needle guide on internal jugular, subclavian and femoral vein puncture, using three approaches: out-of-plane free hand (OOP-FH), in-plane free hand (IP-FH), and in-plane needle guided (IP-NG). Success at first pass, the number of needle redirections and arterial punctures were recorded. Time elapsed (i) from skin contact to first skin puncture, (ii) from skin puncture to successful venous puncture and (iii) from skin contact to venous return were measured.
Results: Thirty operators performed 270 punctures. IP-NG approach resulted in high success rate at first pass (jugular: 80%, subclavian: 95% and femoral: 100%) which was higher than success rate observed with OOP-FH and IP-FH regardless of the site (p=.01). Compared to IP-FH and OOP-FH, the IP-NG approach decreased the number of needle redirections at each site (p=.009) and arterial punctures (p=.001). Compared to IP-FH, the IP-NG approach decreased the total procedure duration for puncture at each site.
Conclusion: In this simulation study, IP approach using a homemade needle guide for ultrasound-guided central vein puncture improved success rate at first pass, reduced the number of punctures/redirections and shortened the procedure duration compared to OOP and IP free-hand approaches.
Sex differences in the tumor promoting effects of tobacco smoke in a cRaf transgenic lung cancer disease model
Authors: Zhong Shen , Borlak Jürgen 
Published: August 2023

Abstract
Background
Tobacco smoke (TS) is the leading cause for lung cancer (LC), and female smokers are at a greater risk for LC. Yet, the underlying causes are unknown.
Methods
We performed whole genome scans in TS exposed wild type and histologically characterized tumor lesions of cRaf transgenic mice. We constructed miRNA-gene and transcription factor-miRNA/gene regulatory networks and determined sex-specific gene regulations by evaluating hormone receptor activities. We validated the findings from TS exposed cRaf mice in a large cohort of smoking and never-smoking LC patients
Results
When compared to males, TS prompted a 7-fold increase in tumor multiplicity in cRaf females. Genome-wide scans of tumor lesions identified 161 and 53 genes and miRNAs, which code for EGFR/MAPK signaling, cell proliferation, oncomirs and oncogenes, and 50% of DEGs coded for immune response and tumor evasion. Outstandingly, in transgenic males, TS elicited upregulation of 20 tumor suppressors, some of which are the targets of the androgen and estrogen receptor. Conversely, in females, 18 tumor suppressors were down-regulated, and five were specifically repressed by the estrogen receptor. We found TS to perturb the circadian clock in a sex-specific manner and identified a female-specific regulatory loop that consisted of the estrogen receptor, miR-22-3p and circadian genes to support LC growth. Finally, we confirmed sex dependent tumor promoting effects of TS in a large cohort of LC patients.
Conclusions
Our study highlights the sex-dependent genomic responses to TS and the interplay of circadian clock genes and hormone receptors in the regulation of oncogenes and oncomirs in LC growth.