bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lupus pathogenesis and autoimmunity are exacerbated by high fat diet–induced obesity in MRL/lpr mice
Authors: Zhang Xin , Meng Juan , Shi Xuhua , Quinet Robert , Davis William , Zakem Jerald , Patel Ronak , Lobo Gitanjali , Hellmers Linh , Ray Alicia , Washington Talon , Keshavamurthy Chandana , Kumar Natasha , Ali Hiba , Dhulipala Swathi , Hille Chad , You Zongbing 
Published: August 2022

Abstract

Background: Systemic lupus erythematosus (SLE) is an autoimmune disease characterized by persistent inflammation and autoantibody production, leading to systemic damage. Genetic predisposition and environmental factors such as high fat diet (HFD)/obesity may contribute to lupus development. In this study, we investigated the impact of HFD in lupus pathogenesis and autoimmunity to reveal the pathological link of HFD and SLE using-lupus prone mice.Methods: Sixty MRL/lpr mice were grouped and fed with a regular diet (RD) or HFD. Their body weights were recorded weekly. SLE progression was monitored by skin lesion, urine protein, and titers of anti-dsDNA and antinuclear antibodies (ANA). Mice were euthanized at week 14. Kidney and skin tissue sections were stained with hematoxylin and eosin (H&E), periodic acid–Schiff (PAS), and Masson's trichrome to detect lupus histopathological lesions and were quantified as kidney index and histological skin score. Immune cells in the spleen were identified by immunofluorescence staining and flow cytometry. Student t test or two-way ANOVA was used for statistical analysis.Results: HFD induced a significant increase in mouse body weight by week 5 and continued until week 14 compared to RD (p<0.05 to p<0.01). Skin lesions resembling human discoid lupus were observed as early as week 6 and became severe at week 14 in 55.6% of the HFD group compared to 11.1% of the RD group (p<0.05). Proteinuria occurred from week 11 to week 14 in the HFD group. Splenomegaly was observed in the HFD mice (p<0.05). The HFD group had a higher histological skin score and kidney index than the RD group. An increased trend of anti-dsDNA antibody was detected in the HFD group but no difference in ANA was seen between HFD and RD groups. A significant increase of germinal center B cells and plasma cells was observed in the spleens of HFD mice. The percentage of Tfh cells and the ratio of Tfh/Treg were significantly increased in the HFD group (p<0.05). Conclusion: Our results showed that HFD induced an accelerated and exacerbated lupus development and autoimmunity in MRL/lpr mice. Tfh/Treg cells may be the interconnection of HFD and SLE. Interventions of healthy diet or restoring balance of Tfh/Treg cells may improve both lupus symptoms and outcomes in genetically predisposed SLE patients.
Brain parenchymal and leptomeningeal metastasis in lung cancer
Authors: Li Qing , Lin Zhen , Hong Ye , Fu Yang , Chen Yueyun , Liu Ting , Zheng Yue , Tian Jiangfang , Liu Chunhua , Pu Wei , Ding Zhenyu , Wang Chun 
Published: August 2022

Abstract
Patients with advanced non-small cell lung cancer (NSCLC) are prone to brain metastases (BM), which essentially include brain parenchymal metastases (PM) and leptomeningeal metastases (LM). We conducted a retrospective study to comprehensively assess the clinical characteristics and risk factors of patients with advanced NSCLC who develop PM and LM. Patients with advanced NSCLC were enrolled. These patients were then divided into 3 groups for analysis: patients without BM (No-BM), patients with PM and patients with LM. Data on clinical characteristics of each patient at the time of diagnosis advanced NSCLC were extracted and analyzed. In addition, prediction models were developed and evaluated for PM and LM. A total of 592 patients were enrolled in the study. BM was present in 287 patients (48.5%). Among them, 185 and 102 patients had PM or LM. Patients with LM had a higher proportion of EGFR exon 21point mutations (L858R) compared to patients with No-BM and PM (p < 0.0001). The median time to the onset of PM and LM from the diagnosis of advanced NSCLC was 0 months and 8.3 months, respectively. Patients with LM had a statistically shorter over survival (OS) compared to either No-BM or PM patients (p < 0.0001). Based on independent predictive variables, two nomogram models were constructed to predict the development of PM and LM in advanced NSCLC patients, and the C-indexes were 0.656 and 0.767, respectively. Although both considered as BM, PM and LM had different clinical characteristics. And the nomogram showed good performance in predicting LM development, but not PM.
Improved One-year Outcomes After Active Cooling During Left Atrial Radiofrequency Ablation
Authors: Joseph Christopher , Nazari Jose , Zagrodzky Jason , Sherman Jacob , Zagrodzky William , Bailey Shane , Kulstad Erik , Metzl Mark 
Published: August 2022

Abstract
Background: Active esophageal cooling during pulmonary vein isolation (PVI) with radiofrequency (RF) ablation for the treatment of atrial fibrillation (AF) is increasingly being utilized to reduce esophageal injury and atrioesophageal fistula formation. Randomized controlled data also show trends towards increased freedom from AF when using active cooling. This study aimed to compare one-year arrhythmia recurrence rates between patients treated with luminal esophageal temperature (LET) monitoring versus active esophageal cooling during left atrial ablation.Methods: Data from two healthcare systems (including 3 hospitals and 4 electrophysiologists) were reviewed for patient rhythm status at one-year follow up after receiving PVI for the treatment of AF. Results were compared between patients receiving active esophageal cooling and those treated with traditional LET monitoring using Kaplan-Meier estimates.Results: A total of 513 patients were reviewed; 253 received LET monitoring using either single or multi-sensor temperature probes, and 260 received active cooling. Mean age was 66.8 (SD +/-10) years, and 36.8% were female. Arrhythmias were 60.1% paroxysmal AF, 34.3% persistent AF, and 5.6% long-standing persistent AF, with no significant difference between groups. At one-year follow-up, KM estimates for freedom from AF were 58.2% for LET monitored patients and 72.2% for actively cooled patients, for absolute increase in freedom from AF of 14% with active esophageal cooling (P=.03).Conclusions: In this first study to date of the association between esophageal protection strategy and long-term efficacy of left atrial RF ablation, a clinically and statistically significant improvement in freedom from atrial arrhythmia at one-year was found in patients treated with active esophageal cooling when compared to patients that received LET monitoring.
A case of neonatal lupus presenting with severe systemic hypertension and multiorgan failure in absence of congenital heart block (CHB): clinical management and recent literature review of neonatal cardiac lupus
Authors: Jain Samhita , Spadafora Ruggero , Maxwell Sarah , Botas Carlos , Nawaytou Hythem , Scheven Emily , Crouch Elizabeth E. 
Published: August 2022

Abstract
Neonatal Lupus (NLE) is a rare acquired autoimmune disorder caused by transplacental passage of maternal autoantibodies to Sjogren’s Syndrome A or B (SSA-SSB) autoantigens1 which target fetal and neonatal tissues for immune destruction. The cardiac trademark of NLE is autoimmune heart block, which accounts for more than 80% of cases of complete atrioventricular heart-block (AVB) in newborns with a structurally normal heart2. NLE presenting with cardiac alterations not involving rhythm disturbances are described in the literature, but they are rare. Here, we report a case of a neonate with high anti-SSA antibodies who developed severe systemic hypertension and transient ventricular dysfunction in absence of the most common cardiac presentations of NLE: rhythm abnormalities, endocardial fibroelastosis, and dilated cardiomyopathy3. The patient developed severe multiorgan dysfunction syndrome that required prolonged critical care support but fully recovered and was discharged home. We highlight the unusual clinical features of this NLE case and the importance of timely treatment of NLE allowing complete recovery of a critically ill neonate.
A survey on artificial intelligence techniques for security event correlation: models, challenges, and opportunities
Authors: Levshun Diana , Kotenko Igor 
Published: August 2022

Abstract
Information systems need to process a large amount of event monitoring data. The process of finding the relationships between events is called correlation, which creates a context between independent events and previously collected information in real time and normalizes it for subsequent processing. In cybersecurity, events can determine the steps of attackers and can be analyzed as part of a specific attack strategy. In this survey, we present the systematization of security event correlation models in terms of their representation in AI-based monitoring systems as: rule-based, semantic, graphical and machine learning based-models. We define the main directions of current research in the field of AI-based security event correlation and the methods used for the correlation of both single events and their sequences in attack scenarios. We also describe the prospects for the development of hybrid correlation models. In conclusion, we identify the existing problems in the field and possible ways to overcome them.
Parameter Optimization for Enhanced Biodiesel Yield from Linum usitatissimum Oil Through Solar Energy Assistance
Authors: Budhraja Neeraj 
Published: August 2022

Abstract

Biodiesel is a biofuel produced from vegetable oils and animal fats. The study describes the solar-assisted biodiesel production from linseed oil and the parameter optimization using Taguchi’s L27 orthogonal approach and response surface methodology (RSM). A solar paraboloid dish of collector area 6.1 m2 and concentration ratio approx. 200 is used for the transesterification process. The yearly and daily solar radiation data shows that May-June has longer solar radiation availability during the daytime; and are favorable months for experimentation. The results show that Taguchi’s approach gives a maximum biodiesel yield of 89.14%, while the RSM model offers a slightly higher 91.9% yield. However, the RSM analysis predicted 91.1% (maximum biodiesel yield) at molar ratio (MR) 8.92:1, reaction time (RT) 108.97 minutes, and catalyst concentration (CC) 0.61 wt.%, respectively. The ANOVA analysis found that the MR has the highest percentage contribution of 75.67%, followed by CC (15.9%) and RT (5.69%). The biodiesel composition is determined using gas chromatography, and the various other fuel properties are measured as per ASTM testing methods. The study successfully confirms the solar heating usage for the transesterification process.
Variational Inference for Bayesian Bridge Regression
Authors: Zanini Carlos Tadeu Pagani , Migon Helio dos Santos , Dias Ronaldo 
Published: August 2022

Abstract
The bridge approach for regularization of coefficients in regression models uses ℓα norm, with α ∈ (0, +∞), to define a penalization on large values of the regression coefficients. Particular cases include the lasso and ridge penalizations. In Bayesian models, the penalization is enforced by a prior distribution on the coefficients. Although MCMC approaches are available for Bayesian bridge regression, they can be very slow for large datasets, specially in high dimensions. This paper develops an implementation of Automatic Differentiation Variational Inference for Bayesian inference on semi-parametric regression models with bridge penalization. The non-parametric effects of covariates are modelled by B-splines. The proposed inference procedure allows the use of small batches of data at each iteration (due to stochastic gradient based updates), therefore drastically reducing computational time in comparison with MCMC. Full Bayesian inference is preserved so joint uncertainty estimates for all model parameters are available. A simulation study shows the main properties of the proposed method and an application to a large real dataset is presented.
Relative-Performance Delegation destabilizes Upstream Collusion
Authors: Lee Jen-Yao , Wang Leonard F. S. , Sun Ji 
Published: August 2022

Abstract
This paper analyzes upstream firms’ collusive sustainability when downstream firms adopt the relative-performance delegation in an infinitely repeated Cournot or Bertrand game. We find that relative-performance delegation makes managers acting more aggressive and that leads to more difficult for upstream collusion to be sustained comparing with sales-revenue delegation regardless of the competition modes. The driving force behind our result is that downstream relative-performance delegation decreases input price, while it makes more profit for deviated firm.JEL classification: D21; D43; L13; L21
Exploration of cassava plant xylem for water treatment: preparation, characterization and filtration capability
Authors: Hashim Aliah , Hashim N. Awanis , Mohd Junaidi Mohd Usman , Kamarudin Diyana , Hussain Mohd Azlan 
Published: August 2022

Abstract
Flood is among the natural disasters that commonly happened in Malaysia every year. During the flood, victims faced clean water shortages and deterioration of the environment resulting in long waiting times for aid to access. Hence, affordable and efficient filters are needed to supply clean water in the affected areas. Application of xylem tissue inside plant stem has the potential as a filter for water filtration. This research focuses on xylem tissue in Malaysian tropical plants from cassava stem. Cassava stems were prepared in a small-scale set-up as the xylem was used as a filter. Effects of cross-sectional area and hydrostatic pressure were analyzed and the results showed a directly proportional relationship with permeate flow rate. Upon filtration with red dye solution, total dye removal was achieved using a xylem with a minimal length of 3 cm and onwards. While for bacteria removal, E. coli bacteria have been removed when tested with a bacteria count plate. Thus, this study demonstrated the potential of the xylem tissue of the cassava plant as affordable and available natural raw materials to be used as water filters during an emergency.
Saving People as A Factor of Sustainable Socio-Economic Development of Russian Regions (on the Example of The Central Federal District)
Authors: Gulyaeva T. I. , Takmakova E. V. , Kozyavin M. A. , Savkin V. I. 
Published: August 2022

Purpose of the study.To establish the specifics of the situation in the field of saving people in the regions of the Central Federal District, to identify the compliance of the state socio-economic policy with the real state of saving people in the regions of the Russian Federation.Materials and methods.In the process of preparing the article, the authors used the materials of the Federal State Statistics Service, the Territorial State Statistics Service for the Orel region, the works of individual scientists and public organizations on the problems of saving people. In the course of the work, statistical research methods were used: tabular and graphical methods, analysis of dynamics’ series indexes, the grouping method.Results.The dynamics of the population in 1990-2021 was studied in the context of the federal districts of the country, including the regions of the Central Federal District, depending on individual factors (natural, mechanical movement). The study of the population in the regions of the Central Federal District showed that for the period 1990-2021, a decrease in the population was found in all regions of the Central Federal District (except Belgorodskaya, Moscow regions and Moscow). The rural population is decreasing at the fastest pace: mortality rates significantly exceed fertility rates in rural areas, the share of the working-age population is decreasing, and the share of the population older than working age is increasing.Conclusion.The problem of saving people is urgent and requires the development of an effective system for managing the quality of life of the population and regulating demographic processes in the regions of the Central Federal District: Vladimirskaya, Tverskaya, Orlovskaya, Smolenskaya, Tulskaya, Ivanovskaya; in which the decrease in population is associated with natural factors: the mortality rate significantly exceeds the birth rate. It is advisable to form regional programs to improve the organization of healthcare in the following areas: Vladimirskaya, Kalugskaya, Ivanovskaya, Orlovskaya, Tverskaya, Yaroslavskaya. To manage migration processes, reduce the labor shortage in accordance with the needs of the region’s economy, create jobs and conditions for the development of small and medium-sized businesses, improve the quality of life of the population, develop appropriate programs in the following areas: Vladimirskaya, Orovskayal, Smolenskaya, Tambovskaya, Tverskaya.
Methodological Apparatus of Cognitive Modeling of Socio-Economic System (University)
Authors: Mikryukov A. A. , Mazurov M. E. 
Published: August 2022

Purpose of the study.The aim of the study is to improve the methodological apparatus of cognitive modeling of socio-economic systems (SES) and predicting the indicators of their functioning and development, which ensures an increase in the accuracy and reliability of the results obtained. Existing models and methods do not fully provide the necessary accuracy and reliability of models that requires the development of the mathematical apparatus of cognitive modeling in terms of improving the quality of the developed cognitive models.Materials and methods.To achieve this goal, methods of an integrated approach to solving the problem, decomposing it into interrelated stages, describing the content of each stage in their relationship and presenting a generalized version of the methodology, taking into account the characteristics of the object of study, were used. The developed approach provides creating a more accurate and reliable cognitive model. The effectiveness of the developed methodological apparatus is shown.Results.A detailed analysis of the existing criteria and approaches to solving the problem of verification of cognitive models was carried out, which showed the absence of a unified methodology and an integrated approach in solving problems of cognitive modeling of SES based on cognitive maps. A set of techniques that implement the stages of cognitive modeling has been developed. The results of a comparative analysis of the developed approach with the existing ones are presented.Conclusion.A comprehensive solution to the problem of creating a cognitive model for analyzing and predicting the activities of a university is proposed, which includes a set of stages: the stage of creating the problem field of the situation; identification of factors and relationships between them; the stage of making a cognitive map and its verification, as well as the stage of analyzing the system characteristics of the cognitive model, validating the cognitive model. The developed methodological apparatus includes a set of techniques aimed at obtaining an adequate model that provides more accurate and reliable results of modeling the object of study.
Identification of Pyroptosis Gene Signature Related Molecular Pattern,
Clinical Implication, and Tumor Immunity in Hepatocellular Carcinoma`
Authors: Li Yao-Ting , Zeng Xue-Zhen 
Published: August 2022

Background::
Pyroptosis is a novel form of programmed cell death in cancers, which
regulates tumor cell invasion, proliferation, and metastasis, thereby affecting the prognosis of cancer
patients. However, the role of Pyroptosis-Related Genes (PGs) in Hepatocellular Carcinoma (HCC)
remains unclear.

Methods::
Somatic mutation, copy number variation, and expression of 41 PGs were assessed in
HCC and normal liver from the TCGA dataset. The Least Absolute Shrinkage and Selection Operator
(LASSO) was used to construct the prognostic model. K-M curves, ROC curves, nomograph,
and univariate and multivariate Cox regression were conducted to evaluate the predictive value of
PGs. Immune infiltration was analyzed by CIBERSOFT and ssGSEA algorithm. The expression of
prognostic PGs was validated by qPCR.

Results::
Significant mutation and copy number variation of PGs were found in HCC. These genes
were involved in an inflammatory response. In addition, 9 out of 41 PGs were differentially expressed
in HCC and found to correlate significantly with patient survival. Then, these signature
genes were selected to build a prognosis model and were utilized to stratify HCC patients into high
and low PGs-score groups. It showed that the high-PGs group had a worse prognosis. Univariate
and multivariate Cox regression verified that PGs-score was an independent risk factor for HCC. By
ROC curves and nomogram, we showed that PGs-score effectively predicted the 1-, 3-, and 5-year
survival of HCC patients and correlated with AFP level and disease stage. Immune infiltration analysis
further showed that tumor immunity correlated with the PGs-score, and the expression of immune
checkpoint molecule was significantly enhanced in the high PGs group. The PGs-score was
also validated in the external validation cohort (ICGC). Finally, the expression of 9 signature genes
was validated in normal liver and HCC cell lines.

Conclusions::
This study elucidated the aberrant regulation of PGs in HCC, and those pyroptosisrelated
genes may be applied as a prognostic factor of HCC.
ABCG1 is Expressed in an LXR-Independent Manner in Patients
with Type 2 Diabetes Mellitus
Authors: Wang Hui-Juan , Wang Ji-Hong , Xu Xin-Na , Zhao Xing-Shan , Liu Wei 
Published: August 2022

Background:
Patients with type 2 diabetes mellitus have a high cardiovascular
risk due, in part, to abnormalities of high-density lipoprotein mediated cholesterol efflux.
The ATP-binding cassette A1 and G1 play a pivotal role in the regulation of cholesterol
efflux. However, the regulation of these transporters in type 2 diabetes mellitus remains
obscure.

Objectives:
This study aimed to investigate the expression of ATP-binding cassette A1
and G1 and their regulation by Liver X receptors in monocyte-derived macrophages in
type 2 diabetes mellitus, and to determine whether the alteration of these transporters
might affect cholesterol efflux from macrophages.

Methods:
Blood was collected from type 2 diabetic patients and healthy controls.
Peripheral monocytes were differentiated into macrophages. Quantitative real-time PCR,
western blots, and cholesterol efflux assays were performed. The Liver X receptor and
Liver X receptor element complex in the ATP-binding cassette G1 gene promoter were
detected by electrophoretic mobility supershift assay.

Results:
Macrophage ATP-binding cassette G1 expression and high density lipoproteininduced
cholesterol efflux were significantly reduced in type 2 diabetic patients. However,
the mRNA expression of ATP-binding cassette G1 in type 2 diabetic patients was not
inhibited by Liver X receptor siRNA and the Liver X receptor- Liver X receptor element
complexes remain unchanged similarly.

Conclusion:
The study suggested that the expression of ATP-binding cassette G1 and
high density lipoprotein-induced cholesterol efflux in macrophages were reduced in type 2
diabetes mellitus. Impairment of cholesterol efflux and ATP-binding cassette G1 gene
expression in type 2 diabetes mellitus might be regulated by a Liver X receptorindependent
pathway.