bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Integrative Machine Learning Framework for Classifying SEER Breast Cancer
Authors: P Manikandan , U Durga , C Ponnuraja 
Published: December 2022

AbstractBACKGROUND:Breast cancer is the commonest type of cancer in women worldwide and the leading cause of mortality for females. Despite the fact that many breast cancer patients have no family members who have also had the disease. Women who have it are more at risk than those who don't.OBJECTIVE:The aim of this research is to classify the death status of breast cancer patients using the Surveillance, Epidemiology, and End Results (SEER) dataset. Due to its capacity to handle enormous data sets systematically, machine learning has been widely employed in biomedical research to answer diverse classification difficulties. Pre-processing data enables its visualization and analysis for use in making important decisions.METHODOLOGY:This research presents a feasible machine learning-based approach for categorizing datasets related to breast cancer. Moreover, a two-step feature selection method based on Variance Threshold and Principal Component Analysis (PCA) was employed to select the features from the SEER breast cancer dataset. After selecting the features, the classification of the breast cancer dataset is carried out using Supervised and Ensemble learning techniques such as Ada Boosting (AB), XG Boosting (XGB), and Gradient Boosting (GB), as well as binary classification techniques such as Naive Bayes (NB) and Decision Tree (DT).RESULTS:In this study, it is observed that the Decision Tree algorithm showed better results than other algorithms used in this analysis (AB, XGB, GB & NB). The accuracy of DT for both train-test split and cross validation achieved as 98%.CONCLUSION:Utilizing the train-test split and k-fold cross-validation approaches, the performance of various machine learning algorithms is examined. The Decision Tree algorithm outperforms other supervised and ensemble learning approaches, according to the experimental data.
Implantoplasty promotes radiographic bone gain at peri-implantitis sites over a 6-to-11- year follow-up: A case series
Authors: Bianchini Marco Aurélio , Kuhlkamp Lucas Freitas , Schwarz Frank , Galarraga-Vinueza Maria Elisa 
Published: December 2022

Abstract
The authors have requested that this preprint be removed from Research Square.
Biomechanical study of particle deposition in the nasal and nasopharyngeal cavities of healthy subjects
Authors: Yang Hua , Sun Dong , Tang Yuanyuan , Su Yingfeng , Yu Shen , Sun Xiuzhen 
Published: December 2022

Abstract
To build a finite element numerical model of the nasal and nasopharyngeal cavities in healthy subjects and analyze the particle deposition characteristics of the nasal and nasopharyngeal cavities under different conditions, in order to investigate the influencing factors of particle deposition in the nasal and nasopharyngeal cavities of healthy subjects from the perspective of biomechanics, and to provide reference for the potential predisposing factors of clinical nasal and nasopharyngeal diseases and transnasal drug delivery methods. The nasal multi-layer spiral CT data of a healthy adult male volunteer was collected, and a three-dimensional numerical model was reconstructed based on the obtained image data (the model included nasal cavity, nasopharyngeal cavity, and pharyngeal cavity), and then numerical simulations were performed for particle deposition under different airflow rate, particle size and particle density conditions. In the reconstructed model, the nasal threshold, the nasal vestibule, the anterior part of the inferior and middle turbinates, and the posterior wall of the nasopharyngeal apex are the most likely areas for particle settling. When the airflow rate was 30L/min and 60L/min, the deposition efficiency(DE) of the reconstructed model was more than 80% with different particle diameters and particle densities. When the particle diameter is 10um and 15um, the deposition efficiency of the reconstructed model can reach more than 90% under different airflow rate and particle density. When the particle density and airflow rate were constant, the deposition efficiency of particles in the posterior wall of the nasopharynx decreased as the particle diameter became larger. A numerical model of nasal and nasopharyngeal cavity biomechanics can be established to explore the important influencing factors of particle deposition in the nasal and nasopharyngeal cavities from a biomechanical perspective. It was found that: 1. particle deposition mainly at the nasal threshold and nasal vestibule in the nasal cavity, and mainly at the posterior wall of the nasopharyngeal apex in the nasopharyngeal cavity; 2. airflow velocity, particle size and density all had effects on particle deposition rate, among which particle size had the greatest effect on particle deposition, followed by airflow rate, and the effect of particle density changes on particle deposition was not significant; 3. when particle density and airflow rate were constant, the smaller the particle diameter, the the more particle deposition in the nasopharyngeal cavity, the larger the particle diameter, the more particle deposition increases in the anterior part of the nasal cavity, and the less particle deposition in the nasopharyngeal cavity; 4. As the particle diameter increases, the particle deposition in this reconstructed model increases.
Identification of prognostic implications of potential biomarker in Malignant Pleural Mesothelioma
Authors: Wang Ning , Wu Wen , Guo Jiadi , Zhao Qiuni , Yuan Qi , Zhou Xin , Zhu Baoli 
Published: December 2022

Abstract
Purpose: Exploring new understanding of genetic factors can help reveal the etiology of MPM and improve the survival rate of patients with MPM.
Methods: We explored the expression pattern in MPM across GEO, DAVID, HMDD, and miRNet. The PPI networks of the intersection targets were constructed by STRING and Cytoscape, and the hub genes were selected by plugin cytoHubba. The survival analysis of hub genes was also carried out based on the GEPIA and UALCAN database. The immune subtype and infiltration analyses were performed using TISTDB and TIMER database.
Results: A total of 251 DEGs were detected. GO and KEGG pathway analysis revealed that DEGs were significantly enriched in extracellular matrix organization, ECM-receptor interaction. The PPI network was assessed, and the top 10 hub genes were identified by evaluating degrees. High expression level of CDH2, COL3A1, CAV1 was associated with worse prognostic value in MPM. For different immune subtypes, significant connection with CDH2/COL3A1/CAV1 expression existed in MPM. The correlation between immune cells and hub genes showed that CAV1 was positively correlated with Dendritic cells, CDH2 was positively correlated with Dendritic cells, while it was negatively correlated with Neutrophil. COL3A1 expression was positively associated with infiltration levels of Macrophages, whereas negative association with Neutrophil. Furthermore, Neutrophil and CDH2 was significantly correlated with the clinical outcomes of MPM.
Conclusion: CDH2, COL3A1, and CAV1 may serve as a promising prognostic biomarker in MPM, in particular, the correlation between CDH2 and Neutrophil is one of the critical factors affecting MPM prognosis.
Thyroid Hormone Mediates the Effect of Antidepressants on Cognitive Function in Patients with Depression: A Mediation Analysis in a Longitudinal Study
Authors: Zhao Mingming , Liu Zengxun 
Published: December 2022

Abstract
Background: Patients with depression frequently experience cognitive impairment. Our purpose is to determine whether thyroid hormones mediate the effect of depression on cognitive impairment.
Methods: A total of 119 depressed patients were enrolled (mean age 32 years, 56.30% female). The Montreal Cognitive Assessment Scale, the 17-item Hamilton Depression Scale, and thyroid hormone levels, including free triiodothyronine (FT3), free thyroxine (FT4), and thyroid-stimulating hormone (TSH), were evaluated at intervals of 8 weeks. In order to describe the temporal relationship between depression and cognitive impairment, we initially used cross-lagged panel analysis. After that, linear regression analysis was utilized to show how depression and thyroid hormones are related to one another. To further investigate the causal role of thyroid hormones in depression and cognitive impairment, a causal mediation model was created.
Results: The cross-lagged panel analysis showed that there was a significant cross-lagged path coefficient from baseline depression to follow-up cognition(β=－0.284, P=0.002) . Baseline depression had an impact on FT3 (F = 1.880, P＜0.05) and FT4 (F = 2.466, P＜0.05), according to a linear regression analysis. Baseline depression were affected by baseline FT4 ( = 0.316, t = 2.687, P＜0.05). The link between baseline depression and follow-up cognitive performance was revealed to be partially mediated by serum FT4 levels, according to the causal mediation analysis (a=0.008, se=0.004, p=0.022, CI=0.001/0.016).
Conclusion: Serum FT4 levels may be biological markers of cognitive impairment in patients with depression and may mediate the effect of depression on cognitive impairment.
Arterial tortuosity syndrome: phenotypic features and cardiovascular manifestations in 4 newly identified patients.
Authors: Esmel-Vilomara Roger , Valenzuela Irene , Riaza Lucía , Rodríguez-Santiago Benjamín , Rosés-Noguer Ferran , Boronat Susana , Sabaté-Rotés Anna 
Published: December 2022

Abstract
Background and purpose: Arterial tortuosity syndrome (ATS) is an autosomal recessive connective tissue disease caused by biallelic variants in the SLC2A10 gene and characterized by tortuosity and elongation of the aorta and medium-sized arteries, focal stenosis and aneurysm formation. It’s considered an extremely rare disease; only 106 individuals with genetically confirmed ATS have been identified to date. The aim of this study is to contribute to the phenotypic and cardiovascular description of this disease, as well as its genetic characterization.
Methods and results: Four cases of ATS from two families are described: 3 siblings born from healthy consanguineous parents with an homozygous variant in SLC2A10: c.510G>A (p.Trp170Ter) and a child with two heterozygous variants: c.417T>A (p.Tyr139Ter), classified as pathogenic, and c.899T>G (p.Leu300Trp), not previously described as pathogenic but with an allegedly deleterious effect in compound heterozygosis. The presented clinical spectrum is wide; two cases with diaphragmatic hernia and a complex uropathy are highlighted. Regarding the vascular involvement, a predominant supra-aortic affectation stands out with less involvement in abdominal aorta, visceral branches and lower extremities. No aneurysms were observed and only 1 case of focal stenosis (renal artery). All presented severe intracranial tortuosity. No case of intracardiac involvement is described. To reduce hemodynamic stress on the arterial wall, beta-adrenergic blocking treatment was prescribed.
Conclusions: four novel pediatric cases are described, contributing to the clinical delineation of the entity. A case with complex uropathy, reported in the literature only 11 times, is included. Moreover, a not previously described mutation is presented; with an allegedly deleterious effect in association with another pathogenic variable.
Foveal and retinal nerve fiber layer (RNFL) thickness in children with a history of retinopathy of prematurity (ROP) treated with Bevacizumab; A cross sectional study
Authors: milani Amir Eftekhari , Javani Bahareh , Ahoor Mohamadhosein , shahshahani Mehdi Abdi , Farhadi Fereshteh 
Published: December 2022

Abstract
Purpose
the purpose of this study is to investigate effects of bevacizumab on structure of retina such as the thickness of the nerve fiber layer and macula with OCT in ROP patients.
Methods
300 eyes from 150 children underwent Fundus examination, refraction and OCT in 3 groups consist of 100 eyes with a history of ROP that were treated with bevacizumab, 100 eyes with a history of ROP that improved spontaneously and the third group 100 eyes of preterm children without a history of ROP.
Results
Foveal thickness was 235.46 ± 11 µm in the group receiving bevacizumab, 267.70 ± 12 µm in the group with spontaneous improvement of ROP, and in the group with no ROP, it was 269.48 ± 10 micrometers. So the mean thickness of the fovea in the group receiving bevacizumab was significantly lower than the other two groups. Also in the group receiving bevacizumab, the thickness of the nerve layer of the retina was less than the other two groups (P < 0.005).
Conclusion
The findings of this study allow us to extend our understanding of the development of the premature fovea to hypothesize the possible clinical and long-term effects of these abnormal changes on adulthood visual acuity. Comparison of laser treated eyes in future designed studies with these groups is recommended in order to extend understanding of the development of the premature fovea and other aspects of ROP decreasing preventable blindness from this condition.
A pruned feed-forward neural network (pruned-FNN) approach to measure air pollution exposure
Authors: Gong Xi , Liu Lin , Huang Yanhong , Zou Bin , Sun Yeran , Luo Li , Lin Yan 
Published: December 2022

Abstract

Environmental epidemiology studies require accurate estimation of exposure intensities to air pollution. The process from air pollutant emission to individual exposure is however complex and nonlinear, which poses significant modeling challenges. This study aims to develop an exposure assessment model that can strike a balance between accuracy, complexity, and usability. In this regard, neural networks offer one possible approach. This study employed a custom-designed pruned feed-forward neural network (pruned-FNN) approach to calculate the air pollution exposure index based on emission time and rates, terrain factors, meteorological conditions, and proximity measurements. The model performance was evaluated by cross validating the estimated exposure indexes with ground-based monitoring records. The pruned-FNN can predict pollution exposure indexes (PEIs) that are highly and stably correlated with the monitored air pollutant concentrations (Spearman rank correlation coefficients for 10-fold cross validation (mean ± standard deviation: 0.906 ± 0.028), for random cross validation (0.913 ± 0.024)). The predicted values are also close to the ground truth in most cases (95.5% of the predicted PEIs have relative errors smaller than 10%) when the training datasets are sufficiently large and well-covered. The pruned-FNN method can make accurate exposure estimations using a flexible number of variables and less extensive data in a less money/time-consuming manner. Compared to other exposure assessment models, the pruned-FNN is an appropriate and effective approach for exposure assessment that covers a large geographic area over a long period of time.
Virtual screening of flavonoids against Plasmodium vivax Duffy binding protein utilizing molecular docking and molecular dynamic simulation
Authors: Yasir Muhammad , Park Jinyoung , Han Eun-Taek , Park Won Sun , Han Jin-Hee , Kwon Yong-Soo , Lee Hee-Jae , Chun Wanjoo 
Published: December 2022

Abstract
Plasmodium vivax (P. vivax) is one of the highly prevalent human malaria parasites. Due to the presence of extravascular reservoirs and recurrent infections from latent liver stages, P. vivax is extremely challenging to manage and eradicate. Traditionally, herbs have been widely used to combat various diseases. Flavonoids from plants are investigated against viral and infectious diseases and showed some promising results to combat these disorders. In the present study, in silico approaches are utilized to study the effect of flavonoids against P. vivax to inhibit malarial invasion of human red blood cells (RBC). Duffy binding protein (DBP) is a malarial protein responsible for binding the Duffy antigen receptor for chemokines (DARC) on human red blood cells and causes malarial invasion. The main focus is to block the DBP binding site to restrict the formation of the DBP-DARC complex. A molecular docking study was performed to analyze the interaction of flavonoid molecules with the DARC-binding site of DBP of P. vivax. Furthermore, molecular dynamic simulation studies are carried out to study the stability of top-docked complexes. The results showed the good effectiveness of flavonoids such as daidzein, genistein, kaempferol, and quercetin in the DBP binding site. These flavonoids bind with DBP and blocked its active site. Furthermore, the binding of these four ligands was maintained throughout the 50 ns simulation maintaining stable hydrogen bond formation with the active site residues of DBP. The present study suggests that flavonoids might be good candidates and novel agents against DBP-mediated RBC invasion of P. vivax.
Synthesis of polymeric Schiff bases and their application in carbon dioxide adsorption
Authors: Siai Amira , Policicchio Alfonso , Alzahrani Abdullah Y. A. , Ahmed Zakarya , Charradi Khaled , Keshk M. A. S. Sherif , Chtourou Radhouane 
Published: December 2022

Abstract
The emission of carbon dioxide (CO2) is not only the primary cause of global warming but also results in severe environmental issues like an increase in Earth's average temperature. Herein, polymeric Schiff bases, OPVA-ED and OPVA-HMD, are synthesized via the condensation of partially oxidized polyviny1 alcohol (OPVA) with 1,2-ethylene diamine (ED) and 1,6-hexamethylene diamine (HMD), respectively, and their potential toward CO2 adsorption is investigated. Fourier transform infrared (FTIR), 1H nuclear magnetic resonance (NMR), and X-ray diffraction (XRD) are employed for the structural elucidation of these Schiff bases, and their physical properties are determined using thermogravimetric analysis (TGA), and gas adsorption experiments. The capture/release of CO2, using these Schiff bases as adsorbent, is assessed at 25°C. The results suggest that OPVA-ED is a more efficient adsorbent for CO2 as compared to OPVA-HMD, as the capacity of CO2 adsorption reaches up to 0.22 mmol/g and 0.18 mmol/g at 15 bars for OPVA-ED and OPVA-HMD, respectively.
Thermal Aging Effect on In-plane and Cross-plane Thermal Diffusivities of Plasma Sprayed Thermal Barrier Coating
Authors: Akoshima Megumi , Takahashi Satoru 
Published: December 2022

Abstract

Thermal barrier coatings (TBCs) are used to shield from heat and wear of components which are used at high temperature situation, for example, the blades of gas turbines. There is a pressing need to evaluate the thermal conductivity of TBCs in the thermal design of advanced gas turbines with high energy efficiency. In the case of gas turbines, these TBCs consist of a ceramic-based top-coat (TC) and a bond-coat (BC) on a superalloy substrate. TBCs are commonly prepared by plasma spraying process. The TC is expected to play the role of a thermal shield. Thus, thermal conductivity of thickness direction of TBC has been investigated. However, plasma sprayed TC was known that they have anisotropic microstructure. We have been investigating in-plane and cross-plane thermal diffusivities of a plasma-sprayed Yttria-stabilized zirconia (YSZ) TCs at 300 K in detail in a previous study. From the results of thermal diffusivity measurements for four kinds of TCs, it was found that plasma sprayed TCs had significantly anisotropic thermal diffusivity depending on their microstructures. In this study, we measured in-plane and cross-plane thermal diffusivities of typical two plasma-sprayed TCs from 300 K to 1200 K in vacuum. And we also measured in-plane and cross plane thermal diffusivities of annealed TC specimens with different aging time. It was found that anisotropy estimated from in-plane and cross-plane thermal diffusivities was not change from 300 K to 1200 K. There was a tendency that thermal diffusivity value and anisotropy slightly increased by thermal aging effects.
Oryzalin impairs maternal-fetal interaction during early pregnancy via ROS-mediated mitochondrial dysfunction leading to a decrease in ATP
Authors: Ham Jiyeon , Song Jisoo , Song Gwonhwa , Lim Whasun 
Published: December 2022

Abstract
Oryzalin is a dinitroaniline pesticide for the control of weed growth via suppression of microtubule synthesis. There are studies about the deleterious effects of dinitroaniline pesticides on the reproductive system. Therefore, we attempted to demonstrate the toxic mechanisms of oryzalin on early pregnancy using porcine uterine epithelial cells (pLE) and trophectoderm (pTr) cells. According to our results, the viability and proliferation of pLE and pTr cells were suppressed in response to oryzalin exposure, and cell cycle progression was affected. Additionally, oryzalin induced apoptotic cell death and impaired mitochondrial membrane polarity in pLE and pTr cells. Moreover, we confirmed that oryzalin significantly downregulated adenosine triphosphate (ATP) production via the oxidative phosphorylation system (OXPHOS) and upregulated reactive oxygen species (ROS) generation in both pLE and pTr cells. The oryzalin-induced ROS generation was mitigated by N-acetylcysteine, a ROS scavenger, and further upregulation of phosphor-P38 MAPK/AKT/P70S6K protein expression was ameliorated in both pLE and pTr cells. We also confirmed that the suppression of migration and proliferation in oryzalin-treated pLE and pTr cells was restored upon oxidative stress mitigation. In summary, we revealed that the cytotoxic mechanisms of oryzalin-induced implantation failure were mediated by ROS-induced mitochondrial dysfunction and intracellular signaling regulation in pLE and pTr cells.
Email Spoofing: In Today’s Era
Authors: Chauhan Prashant D. , Shah Apurva M. 
Published: December 2022

Abstract
Email spoofing has been there since many years making it one of the main choices of the attackers or spammers who wish to gain access to some private information of victims to misuse it or to get some kind of financial benefit. We all know that email spoofing is possible only because of the fact that the entire email system works on SMTP which doesn’t provide any mechanism to check authentication of the sender of the email. With the increasing research in the field of security many protocols have been designed to overcome the problem of spoofing of email address. In this paper, we try to find out whether email spoofing is still possible or not by the end of the year 2022.
The Strategic Crisis Response of International Chinese Education : Based on 5W Communication Mode
Authors: zhao jing 
Published: December 2022

Abstract
This paper considers the external risks to the efficacy of international Chinese education (ICE) in the post-COVID-19 era using PEST analysis and explores four internal aspects of the shortcomings of ICE: platforms, teachers, teaching materials, and methods. This study constructs a helpful risk-coping strategy model based on the 5W mode of communication. This model may also provide a reference for analyzing other language education problems in the context of public emergencies.