bluuebunny/crossref_metadata_2025_split huggingface dataset:
The metabolic score for insulin resistance in the prediction of major adverse cardiovascular events in patients after coronary artery bypass surgery: a multicenter retrospective cohort study
Authors: Zhang Shuai , Wu Zhenguo , Zhuang Yifan , Sun Xiangfei , Wang Juan , Chen Sha , Guo Dachuan , Xu Panpan , Zhang Cheng , Yang Jianmin 
Published: April 2023

Abstract
Background: The metabolic score for insulin resistance (METS-IR) is a simple, convenient, and reliable marker for resistance insulin (IR), which has been regarded as a predictor of cardiovascular disease (CVD) and cardiovascular events. However, few studies examined the relationship between METS-IR and prognosis after coronary artery bypass graft (CABG). This study aimed to investigate the potential value of METS-IR as a prognostic indicator for the major adverse cardiovascular events (MACE) in patients after CABG.
Method: 1100 patients who had CABG were enrolled in the study, including 760 men (69.1%) and 340 women (30.9%). The METS-IR was calculated as Ln [(2×FPG (mg/dL) +fasting TG (mg/dL)] ×BMI (kg/m2)/Ln [HDL-C (mg/dL)]. The primary endpoint of this study was the occurrence of major adverse cardiovascular events (MACE), including a composite of all-cause death, non-fatal myocardial infarction (MI), coronary artery revascularization, and stroke.
Result: During the follow-up period, there were a total of 243 MACEs (22.1%).The probability of cumulative incidence of MACE increased incrementally across the quartiles of METS-IR (log-rank test, p＜0.001). Multivariate cox regression analysis demonstrated a hazard ratio (95% CI) of 1.97 (1.36-2.86) for MACE in quartile 4 compared with participants in quartile 1. The addition of the METS-IR to the model with fully adjusting variables significantly improved its predictive value [C-statistic increased from 0.702 to 0.720, p＜0.001, continuous net reclassification improvement (NRI) = 0.305, ＜0.001，integrated discrimination improvement (IDI)=0.021, p＜0.001].
Conclusion: METS-IR is an independent and favorable risk factor for predicting the occurrence of MACE and can be used as a simple and reliable indicator that can be used for risk stratification and early intervention in patients after CABG.
Comprehensive pan-cancer analysis reveals the importance of SPATS2 in the development of hepatocellular carcinoma
Authors: Ding Jie , Li Long , Yu Wuhan , Deng Hong , Chen Lang , Li Teng Fei , Zhang You Cheng 
Published: April 2023

Abstract
RNA binding protein (RBP) Spermatogenesis-associated serine-rich 2 (SPATS2) has been examined the function in cancer pathogenesis, diagnosis, and prognosis. However, little is known about SPATS2 in human cancers. Gene expression and clinical implication of SPATS2 were assessed in multiple human pan-cancer cohorts from the Tumor Immune Estimation Resource (TIMER) database and Gene Expression Profiling Interactive Analysis (GEPIA) databases. In general, SPATS2 is a robust biomarker for liver hepatocellular carcinoma (LIHC) prognosis. The Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO) database, and the published literature were used to meta-analyze the expression and diagnostic value of SPATS2 in LIHC. A nomogram for predicting the overall survival (OS) was established to present the prognostic value of SPATS2 in LIHC patients. The SPATS2 correlation genes were used to perform the Database for Annotation, Visualization and Integrated Discovery (DAVID), and Gene Set Enrichment Analysis (GSEA) for predicting the biological function of SPATS2. Collectively, this study suggests that SPATS2 could be used as a diagnostic biomarker, prognostic biomarker and therapeutic target for LIHC. Mechanistically, elevated SPATS2 expression was positively correlated with kinesin family member 11 (KIF11/Eg5) mRNA and protein expression. There were protein-mRNA binding sites between SPATS2 protein and KIF11/Eg5 mRNA by PRIdicto predictor analysis. SPATS2 may affect mitotic spindle formation by binding to KIF11-mRNA to post-transcriptionally regulate the expression of KIF11 to promote the formation of the mitotic spindle and the proliferation of LIHC cells.
Risk Assessment of the VAT Collectionin the Czech Republic
Authors: Burianova Olga 
Published: April 2023

Abstract
Value added tax is one of the EU budgets pillars. In the process of VATcollection, the environment of stability and continuity may be threatened. Eachmember country has an important role regarding payments to the budget of EU.The contribution is focused on the determination of threats and the consequentrisks, which can negatively affect the collection of VAT in the Czech Republic.The author’s aim is to find potential threats of VAT collection withinthe risk management process. The main research question is: What relevantthreats can be identified in VAT collection? Risk assessment techniquesused the recommendations of the CSN EN IEC 31010 (8/2020) and 31010(2018) standards. The thesis also provides a classification of threats accordingto the publicly available methodology of the Ministry of Finance, using riskmanagement processes. The DYVELOP© method is used for the identificationand analysis of operational risks, with a description of the semantics and syntaxof the graphical representation of the issue in tables. The author tried to use hisexperience from thirty years of practice in tax to present a comprehensive view.
JEL Classification: G32 , H26
Association of the Respiratory Severity Score with Bronchopulmonary Dysplasia-Associated Pulmonary Hypertension in Infants Born Extremely Preterm
Authors: Kielt Matthew , Beer Lindsey , Rivera Brian , Jama Waceys , Slaughter Jonathan , Backes Carl , Conroy Sara 
Published: April 2023

Abstract
Objective: To test the hypothesis that elevations in the respiratory severity score (RSS) are associated with increased risk of bronchopulmonary dysplasia-associated pulmonary hypertension (BPD-PH).
Study Design: Retrospective cohort study of infants born extremely preterm admitted to a BPD center between 2010-2018. Echocardiograms obtained ≥36 weeks’ post-menstrual age (PMA) were independently adjudicated by two blinded cardiologists to determine the presence/absence of BPD-PH. Multivariable logistic regression estimated the association between RSS with BPD-PH.
Result: BPD-PH was observed in 68/223 (36%) of subjects. The median RSS at time of echocardiography was 3.04 (Range 0-18.3). A one-point increase in RSS was associated with BPD-PH, aOR 1.3 (95% CI 1.2-1.4), after adjustment for gestational age and PMA at time of echocardiography.
Conclusion: Elevations in the RSS were associated with a greater risk of BPD-PH. Prospective studies are needed to determine the validity and performance of RSS as a clinical susceptibility/risk biomarker for BPD-PH.
QTL detection for three tiller-related traits and their effects on yield in wheat (Triticum aestivum L.)
Authors: Cai Yibiao , Zhou Xiaohan , Wang Chenyang , Liu Aifeng , Sun Zhengcang , Li Shihui , Shi Xinyao , Yang Shuang , Guan Yuxiang , Cheng Jiajia , Wu Yongzhen , Qin Ran , Sun Han , Zhao Chunhua , Li Junming , Cui Fa 
Published: April 2023

Abstract
Tiller related traits play important roles in determining yielding potential in wheat. It is of great value to elucidate the genetic basis of tiller number for the genetic improvement of wheat yield. In the present study, a recombinant inbred lines (RILs) mapping population derived from the cross between Kenong 9204 (KN9204) × Jing 411 (J411) (denoted by KJ-RILs) was used for quantitative trait locus (QTL) analysis of three tiller related traits. A total of 78 putative additive QTLs for spike number per plant (SNPP), the maximum tiller number (MTN) and ear-bearing tiller rate (EBTR) were detected in eight different environments. Among them, 12 repeatable QTL might be novel QTL that were firstly documented in the present study. The genetic effect analysis of two co-located major stable QTL, i.e., qSnpp-KJ-5D.1 and qMtn-KJ-5D.1, on yield-related traits were characterized. Moreover, the favored alleles of qSnpp-KJ-5D.1 and qMtn-KJ-5D.1 have been undergone selection in wheat breeding programs; its future application potential in the genetic improvement of yield based on molecular breeding technology was evaluated. The candidate genes underlying qMtn-KJ-5D.1 were predicated based on multi-omics data information, and TraesKN5D01HG00080 is likely to be its candidate gene. Overall, our findings will be useful for elucidating the genetic architecture of tiller-related traits and developing novel wheat varieties with high yield.
Renewed Measurements of Carbon Dioxide Hydrate Phase Equilibrium
Authors: Ito Haruki , Gibo Akari , Shiraishi Sayaka , Yasuda Keita , Ohmura Ryo 
Published: April 2023

Abstract
This paper investigates phase equilibrium conditions in the carbon dioxide hydrate forming system. Carbon dioxide hydrate can be utilized for carbon capture, salt manufacture, carbonated solid foods and tritium water concentration, so the phase equilibrium conditions have been substantially reported so far. However, the data from previous studies were inconsistent with each other, such as there is a difference of 1.0 K in the phase equilibrium temperature at 2 MPa. In this study, the newly three-phase (water rich liquid + hydrate + carbon dioxide rich vapor) equilibrium conditions in the carbon dioxide hydrate forming system were measured at twenty different temperature conditions within the range of (271.9-282.7) K in the two different laboratories. The six pairs of three-phase equilibrium condition data measured under equivalent pressure conditions were consistent within mutual uncertainties. The internal consistency of the data measured in this study was evaluated by the Clausius-Clapeyron equation. The data measured in this study existed within the uncertainty range of the data from several previous studies.
The Right Angled Scattering Triangle Pre-Existing as the Scattering Vector Geometry in Partial Wave Analysis
Authors: Bhanumoorthy P 
Published: April 2023

Abstract
Bragg reflection necessitates an isosceles diffraction triangle.
Absence of Bragg reflection contradicts presence of isosceles diffraction triangle.
So must be the case with scattering triangle also.
Scattering involves no reflection.
When incident vector is doubled, reflection is removed and isosceles becomes right angled.
And thus the scattering triangle becomes right angled.
Partial wave analysis is in spherical coordinates and determines the correct substitute for the polar angle.
As the substitute, Bragg angle implies isosceles scattering triangle and scattering angle implies right angled scattering triangle.
As a standard, partial wave analysis is formulated with scattering angle as the substitute for polar angle.
Hence, partial wave analysis becomes the already existing application for the right angled scattering triangle.
Invariance of physical system in partial wave analysis validates the right angled scattering triangle.
Standing wave description readily explains the wavelength invariance in elastic scattering with unequal magnitudes of incident and scattered vectors in the right angled.
The existing scattering vector geometry as given in textbooks involves isosceles scattering triangle and hence needs to be modified.
The effect of childhood trauma on suicide risk: the chain mediating effects of resilience and mental distress
Authors: Yao Kaimin , Chen Peiyi , Zhou Hui , Ruan Jiajia , Chen Dan , Yang Xueling , Zhou You 
Published: April 2023

Abstract
Background Suicide is the fourth leading cause of death among young people aged 15–29 years. A large number of studies have found that mental disorder in adulthood is closely related to childhood trauma, and the relationship between childhood trauma and suicide risk is influenced by resilience and mental distress. This study aimed to explore the effects of childhood trauma on suicide risk among young people and the potential roles of resilience and mental distress in the relationship between childhood trauma on suicide risk.Methods A cross-sectional survey was conducted among 742 young adults who were in graduate school stage from multiple provinces and cities in China. The Childhood Trauma Questionnaire (CTQ-Short Form), Connor-Davison Resilience Scale (CD-RISC) and Suicide Behavior Questionnaire-Revised (SBQ-R) were used to measure young adults’ childhood trauma, resilience and suicide risk, respectively. 9-items Patient Health Questionnaire (PHQ-9) and 7-items self-report Generalized Anxiety Disorder Scale (GAD-7) were used to measure mental distress. Correlation analysis was performed to explore the initial relationships among the main variables. Structural equation modeling (SEM) was conducted to examine the chain mediating effects of resilience and mental distress on the relationship between childhood trauma and suicide risk.Results Childhood trauma significantly predicted suicide risk (β = 0.295, p < 0.001) and mental distress (β = 0.171, p < 0.001), which had negative effect on resilience (β = -0.198, p < 0.001). Resilience negatively affected mental distress (β = -0.491, p < 0.001) and suicide risk (β = -0.150, p < 0.001), while mental distress positively associated with suicide risk (β = 0.225, p < 0.001).Conclusion Mediation effect analysis showed that resilience and mental distress not only mediated the relationships between childhood trauma and suicide risk independently, but also in sequence. The present study provides a comprehensive view of the suicide risk in graduate students, and suggest to pay attention to their resilience and mental distress to prevent suicide risk.
Utilizing 3D Magnetic Source Imaging with Landmark-Based Features and Multi-classification for Alzheimer's Disease Diagnosis
Authors: Al-Rahayfeh Amer , Atiewi Saleh , Almiani Muder , Jararweh Mohammad , Faezipour Miad 
Published: April 2023

Abstract

Improvements in medical imaging have accelerated the rise of computerized healthcare. Namely, Magnetic Resource Imaging (MRI) has been shown to be a reliable method for detecting Mild Cognitive Impairment (MCI), the prenominal stage of Alzheimer's Disease (AD) (MCI). Complex nonlinear registration and tissue segmentation are needed in order to extract features from structural MRI, which increases computation costs. We suggest the diagnosis of AD utilizing landmark-based features and multi-classification from 3D MR images to solve this issue. Preprocessing, Patch extraction, Feature learning and fusion, and Classification are the successive modules that make up our proposed work. Three processes—Noise removal, Skull stripping, and Normalization—make up the Preprocessing module. A Distributed based Adaptive Median Filter (DAMF) is used to remove noise, while the Hybrid Watershed Algorithm is used to remove the skull (HWA). Particle Swarm Optimization is used to choose the most suitable landmarks for patch extraction (PSO). By increasing the effectiveness of the feature learning process, this method of patch extraction also tends to increase accuracy. A Deep Polynomial Network is used to carry out a new feature learning technique (DPN). The Genetic Algorithm is used to extract the best features from the learned features (GA). The chosen features are then combined. The given fused features are then divided into four groups by a Support Vector Machine (SVM) classifier: AD, stable MCI (sMCI), progressive MCI (pMCI), and normal control (NC). We put our ideas into practice utilizing the MATLAB R2017b toolkit. The proposed work outperformed the SLbL technique in terms of Accuracy, Sensitivity, Specificity, F-Score, and computation time.
Association Between Gut Microbiota and Digestive System Cancers: A Bidirectional Two-Sample Mendelian Randomization Study
Authors: Xie Ning , Wang Ziwei , Shu Qiuai , Liang Xiru , Wang Jinhai , Wu Kaichun , Nie Yongzhan , Shi Yongquan , Liu Na , Fan Daiming , Wu Jian 
Published: April 2023

Abstract
Background Accumulating evidence indicates that gut microbiota closely correlates with the tumorigenesis of digestive system cancers (DSCs). However, whether the causality between gut microbiota and DSCs exists is unknown.Methods Genome-wide association study (GWAS) summary statistics of gut microbiota and DSCs and the bidirectional two-sample MR analysis were utilized to assess the causality between gut microbiota and DSCs. Sensitivity analyses were performed to evaluate the robustness of our results.Results We found that genus Eggerthella (OR = 0.464, 95%CI: 0.27 to 0.796, P = 0.005) was negatively associated with the risk of gastric cancer. Genetically predicted genus Lachnospiraceae FCS020 group (OR = 0.607, 95%CI: 0.439 to 0.84, P = 0.003) correlated with a lower risk of colorectal cancer, and genus Turicibacter (OR = 0.271, 95%CI: 0.109 to 0.676, P = 0.005) was a protective factor for liver cancer. In the reverse MR, DSCs regulated the relative abundance of specific strains of gut microbiota.Conclusions We comprehensively screened the association of gut microbiota with DSCs via a bidirectional two-sample MR analysis and identified the causality between several microbial taxa and DSCs. Our discoveries are beneficial for the development of novel microbial markers and microbiota-modifying therapeutics for DSCs patients.
Optimization of Ti/IrO2-Sb2O3 anode material coating composition for high electrochemically active area using response surface method
Authors: Jayathilaka Pavithra Bhakthi , Bandara Athula , Nanayakkara Nadeeshani , Subasinghe Nalaka Deepal 
Published: April 2023

Abstract
Anode material plays big role in electrochemical oxidation process of water treatment. Since its coating composition can affect the degradation path way, the reaction mechanism and the efficiency of electrochemical oxidation process, it is important to identify the optimum conditions of a given material composition of a high electrochemical active area. In this work, central composite design with response surface method was implemented to optimize Ir and Sb contents of Ti/IrO2-Sb2O3 anode. In order to do that, response factors (i.e. anodic charge and open circuit potential value), which are related to electrochemically active area of the anode were monitored. They were expressed in second-order functions of two factors such as Ir and Sb concentrations. Since these factors showed significant impact on anodic charge and open circuit potential values of the anode, statistical analysis was done in order to gain the understanding of them. ANOVA table results, R2 and Radj values, lack of fit test and p values indicated that the models represent experimental data well. 3-D response surface and 2-D contour plots visualized the effects. Overall analysis of results found that 0.3625 mC anodic charge value and -0.0869 mV open circuit value can be obtained by optimum material conditions of 0.08 g/L and 0.92 g/L Ir and Sb concentrations respectively.
A case of VEXAS syndrome presenting with unusual bone marrow granulomas: a diagnostic dilemma
Authors: Vu Khiem , Wolfe Rachel , Lambird Jonathan , Maracaja Danielle 
Published: April 2023

Abstract
Background
VEXAS is a recently described inflammatory disease caused by mutations in the UBA1 gene. Symptoms are diverse and include fevers, cartilaginous inflammation, lung inflammation, vasculitis, neutrophilic dermatoses, and macrocytic anemia. Cytoplasmic inclusions in myeloid and erythroid progenitors in the bone marrow are a hallmark feature. Here we report the first case of VEXAS with non-caseating granulomas in the bone marrow.
Case presentation
A 62-year-old Asian male presented with fevers, erythema nodosum, inflammatory arthritis, and periorbital inflammation. Labs were significant for persistently elevated inflammatory markers and macrocytic anemia. Over the years his symptoms and inflammatory markers only improved with glucocorticoids and recurred when prednisone dose was lowered below 15–20 mg daily. He underwent bone marrow biopsy showing non-caseating granulomas and PET scan showing hilar/mediastinal lymphadenopathy. He was initially diagnosed with IgG4-related disease (treated with rituximab) and later sarcoidosis (treated with infliximab). After failing these agents, the possibility of VEXAS was considered and later confirmed by molecular testing.
Conclusions
To the best of our knowledge, this is the first observation of non-caseating granulomas in VEXAS, a cautionary reminder of its non-specificity since misinterpretation can lead to diagnostic delay. VEXAS should be in the differential in patients with symptoms of chronic inflammation responding positively to steroids (but not to B-cell depletion or TNF inhibition), which is in line with previous literature.
Analysis Crystal Structure of Sars-cov-2 Nsp3 Macrodomain Based on Optimal Multi Level of Deep Neurocomputing Technique
Authors: Al-Janabi Samaher , Alkaim Ayad 
Published: April 2023

Abstract
In an attempt to improve the analysis crystal structure of sars-cov-2 nsp3 macrodomain, a new deep learning neural network architecture called (DLSTM) is established in this work which combines a novel meta-heuristic optimization algorithm called (Lion-AYAD ) and deterministic structure network (DSN) with Determined set of rules (Knowledge Constructions (KC)) for each protein’s generation from synthesis tRNA based on the location of each component (i.e., U, C, G and A) in the triples of tRNA and other KC related to SMILE Structures. LSTM is one of the deep learning algorithms (DLA) from type neurocomputing contain specific feature not found on other DLA is memory also it proves their ability to give results with high accuracy in prediction problem but on other side LSTM required to determined many parameters based on try and error concept and have high complexity of computation therefore This work attempting to solve this gap through suggest new tool to determine the structure of network and parameters through one optimization algorithm called Lion-AYAD. that searching of the optimal (objective function, #Hidden Layers, #nodes in each Layers and wights for four gate unit in each layers) called DSN. With trained bidirectional DLSTM on the DNA sequence to generated protein get very pragmatic results from determined which protein active and inactive in injury sars-cov-2. on other side trained bidirectional DLSTM on SMILES to analysis crystal structure of sars-cov-2 nsp3 macrodomain get very high reconstruction rates of the test set molecules were achieved 95%. In general Lion-AYAD is one of optimization algorithm determined the set of rules to avoiding incorrect interactions of materials, finally add the KC that include apply four rules through synthesis each triplet tRNA to generated proteins and five Rules through synthesis each SMILE Structure.