bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bringing uncertainty quantification to the extreme-edge with memristor-based Bayesian neural networks
Authors: Bonnet Djohan , Hirtzlin Tifenn , Majumdar Atreya , Dalgaty Thomas , Esmanhotto Eduardo , Meli Valentina , Castellani Niccolò , Martin Simon , Nodin Jean-Francois , Bourgeois Guillaume , Portal Jean-Michel , Querlioz Damien , Vianello Elisa 
Published: January 2023

Abstract
Safety-critical sensory processing applications, like medical diagnosis, require making accurate decisions based on a small
amount of noisy input data. For these applications, using Bayesian neural networks, able to quantify the uncertainty of the predictions, is a superior approach to using conventional artificial neural networks. However, because of the probabilistic nature of Bayesian neural networks, they can be computationally intensive to use for inference stage and thus not well suited for extreme-edge applications. An emerging idea to solve this problem is to use the intrinsic probabilistic nature of memristors to efficiently implement Bayesian neural network inference: the variability in the resistance of memristors would represent the probability distribution of weights in Bayesian neural networks. However, when using memristors, statistical effects follow the laws of device physics, whereas in Bayesian neural networks, those effects can take on arbitrary shapes. In this work, we overcome this difficulty by adopting a dedicated synapse architecture based on two memristors, and by training Bayesian neural networks with a dedicated variational inference technique that includes a “technological loss” to take into account specificities of memristor physics. This technique allowed us to program a two-layer Bayesian neural network on 75 physical crossbar arrays of 1,024 memristors, incorporating CMOS periphery circuitry to do in-memory computing, to classify arrhythmia in electrocardiograms. Our experimental neural network classified heartbeats with high accuracy, and estimated the certainty of its predictions. In the case of uncertain predictions, it differentiated between ambivalent heartbeats (aleatoric uncertainty), and heartbeats with never-seen patterns (epistemic uncertainty). We show that our technique can also be used with phase change memories, by employing a different “technological loss” term. The great advantage of this approach is its low energy consumption: we estimate an 800 times improvement in energy efficiency compared to a GPU performing the same task.
Coronary artery disease classification using support vector machines tuned via randomized search cross-validation
Authors: Akyol Kemal 
Published: January 2023

Abstract
Coronary artery disease outstands health problem that causes high mortality in the world population. This disease brings with it fateful problems such as heart attack and heart failure in patients with cardiovascular problems. Early diagnosis of coronary artery disease is essential for the timely administration of the right treatment and reduction of mortality. Angiography is the most preferred method for CAD detection. However, the complications and costs of this method have led researchers to forage alternative methods through machine learning algorithms. By developing a machine learning model with high generalization ability, prediction errors can be minimized. Thus, these models could potentially be useful for specialist physicians in the effective detection of coronary artery disease. The main focus of this study is to perform coronary artery disease detection with improved support vector machines. k-fold cross-validation experiments were performed on the Z-Alizadeh Sani dataset to evaluate the performance of the models. According to the results obtained, support vector machines with randomized search cross-validation provided the best performance when compared to other models. 87.102% average accuracy, 91.176% average sensitivity, 90.852% average precision, 76.996% average specificity, and also 8.824% average false negative rate obtained by 5-fold cross-validation competes with the known approaches in the literature.
Research on the dynamic evolution law of fissures in shallow-buried and short-distance coal seam mining in Lijiahao Coal Mine
Authors: Wang Beifang , Zhou Duo , Zhang Jing , Liang Bing 
Published: January 2023

Abstract
The leftover coal in the Lijiahao Coal Mine is easy to spontaneously ignite. During the mining process of the shallow buried coal seam, the overlying fissure network in the goaf easily penetrates the goaf of the upper and lower coal seams and continues to the surface, resulting in air leakage in the mine and the hidden danger of spontaneous combustion of the leftover coal protrude. Through physical model experiments, this paper simulates the overburden structure and fracture development characteristics of Lijiahao shallow buried coal seam mining, and uses fractal dimension and image processing technology to quantitatively describe the generation and development process of overburden cracks. Combined with the classical mechanical model of "fixed beam" and "masonry beam", the causes of fracture dynamic evolution are analyzed. The results show that due to the existence of key layers between the coal seams, the stress evolution in the upper and lower seams of the key layer is not synchronised, with only small changes in stress in the upper layer before the key layer is broken, and the stress evolution in the lower layer is similar to that of a single coal seam mining. When the key layer is broken, the stress of the upper and lower rock layers will change dramatically; the fracture of the key layer also has a significant impact on the evolution of fracture fractal dimension, length, and area. The fractal dimension of the fissures rised from 1.4 to 1.5, the total area of fissures is increased from 16638 pixels to 17707 pixels, and the total length is increased from 2217 pixels to 3071 pixels; after the main key layer of the overlying rock is broken, the fractal dimension of the fissures is reduced from 1.56 to 1.5, and the total area of fissures is reduced from 31451 pixels to 29089 pixels, the total length has increased from 5657 pixels to 6619 pixels; before the key layer between the coal seams is broken, it will be suspended to form a "fixed beam". After the first break, the broken rock above it will settle synchronously until the rock blocks form a hinged structure and then collapse. After the fall stops, the key layer periodically breaks to form a "masonry beam" structure, and the overlying stratum settles synchronously. Due to the good integrity of the overlying strata, the secondary development of cracks is relatively moderate.
Human pan-cancer analysis of the predictive biomarker for the tumor necrosis factor-alpha-induced protein 8-like 2 (TNFAIP8L2)
Authors: Chen Yingjun , Zhang Xuezhong , Li Dai , Sha Kaihui , Liu Tonggang 
Published: January 2023

Abstract
Background: TNFAIP8L2 is a member of the tumor necrosis factor-alpha-inducible protein 8 (TNFAIP8) family shown to have oncogenic effects. However, no pan-cancer analysis has shown an association between TNFAIP8L2 and various tumor types.
Methods: Using the Cancer Genome Atlas (TCGA), Gene Expression Omnibus (GEO), and other bioinformatics tools, we performed a pan-cancer analysis of the TNFAIP8L2 gene. We investigated TNFAIP8L2’s function in 33 tumor types, exploring its gene expression, survival status, DNA methylation, genetic alterations, immune infiltration, and associated cellular pathways.
Results: TNFAIP8L2 was strongly expressed in most malignancies and linked with patients' overall survival (OS) and disease-free survival (DFS). Missense mutations are the main type of mutation in the TNFAIP8L2 gene. TNFAIP8L2’s methylation levels were significantly different between tumors and normal tissues. In addition, infiltration of CD8+ T cells, cancer-associated fibroblasts, and macrophages has been linked to TNFAIP8L2 expression in various malignancies, including cervical cancer, breast-infiltrating cancer, and renal clear cell carcinoma. Mechanistically, Rac2, actin filament, and Fc gamma R-mediated phagocytosis are all implicated.
Conclusion: TNFAIP8L2 may be a biomarker or treatment target for predicting the prognosis of cancer victims. In addition, it might interfere with Rac2-mediated pathways regulating macrophage M1 to M2 differentiation and metastasis. This could provide a new direction for tumor therapy.
Two secretory T2 RNases contribute to virulence of an insect fungal pathogen due to cytotoxicity and activation of host immune response
Authors: Yue Yong , Deng Juan , Wang Huifang , Lv Ting , Dou Wei , Luo Zhibing , Jiao Yufei , Peng Xinxin , Zhang Yongjun 
Published: January 2023

Abstract
The RNase T2 family are ubiquitously distributed in all kingdoms and involved in a variety of physical functions. RNase T2 members are secreted by several pathogens or parasites during infection, playing various roles in pathogen-host interaction. However, functions of those members in biocontrol microbes targeting their hosts are still unknown. Here, two secretory RNase T2 member, BbRNT2 and BbTrv, were found to be important virulence factors in an insect fungal pathogen, Beauveria bassiana. Although no significant effect on fungal virulence was cause by disruption of either BbRNT2 or BbTrv, significantly decreased virulence was examined in double gene disruption mutants. Overexpression of a single gene or both genes dramatically enhanced virulence, while few fungal cells proliferated in hemocoel, accompanying with dramatical reduction in hemocytes as compared to the wild type strain treatments. These results appeared to be due to cytotoxicity of the secreted proteins or excessive activation of the insect immune response. In vitro assays using yeast-expressed proteins verified the cytotoxicity of BbRNT2 and BbTrv against insect cells, including hemocytes from Galleria mellonella larvae and sf9 cells from Spodoptera frugiperda. Those effects of the two proteins depended on their RNases enzyme activities and glycosylation modification. Moreover, the two ribonucleases could also trigger humoral immune responses, with stimulation of reactive oxygen species levels, as well as phenol oxidase, lysozyme and nitric oxide synthase activities. These data demonstrate important roles of two secretory RNase T2 members in virulence of insect fungal pathogens, displaying prospects for improvement of biocontrol agents.
Exploring genetic association of allergic disease with cardiovascular disease: A bidirectional Mendelian randomization study
Authors: Wang Shilin , Liu Hao , Yang Peiwen , Wang Zhiwen , Hu Poyi , Ye Ping , Xia Jiahong , Chen Shu 
Published: January 2023

AbstractBackground:In observational and experimental studies, allergic diseases have been reported to be associated with some types of cardiovascular diseases. They share a typical pathophysiological process, including inflammatory and metabolism disorders. However, the direction of the causal association between them remains unclear. This Mendelian randomization (MR) study aims to examine the bidirectional causality between allergic diseases and cardiovascular diseases.Methods:We used publicly available GWAS summary statistics data only, including European participants from UK Biobank or on the IEU Open GWAS database. We identified genetic variants associated with allergic diseases, asthma, or cardiovascular diseases as instrumental variables to investigate the genetically causal association between allergic diseases and asthma and the risk of 12 kinds of cardiovascular diseases. MR was performed using analytical methods including the inverse variance weighted (IVW), MR-Egger and, weighted median. Sensitivity tests were also performed in the MR to assess the validity of the casualty.Results:Genetically predicted allergic diseases was associated with essential hypertension [odds ratio (OR)=0.9987, 95% confidence interval (CI): 0.9976-0.9998, P=0.024], and asthma was associated with atherosclerosis (OR=1.0006, 95% CI: 1.0001-1.0012, P=0.02) in the MR analysis with the IVW method. In the reverse MR analyses, we found that essential hypertension was associated with allergic diseases (OR=8.16E-03, 95% CI: 7.55E-05 - 8,82E-01, P=0.044) and asthma (OR=8.16E-03, 95% CI: 7.55E-05 - 8,82E-01, P=0.044), and stroke was associated with allergic diseases (OR=3.59E-02, 95% CI: 1.34E-03 - 9.62E-01, P=0.047). However, no causal effect has been detected bidirectionally after the Bonferroni correction.Conclusion:The MR study found that patients with AD or asthma might have a decreased risk of essential hypertension and an increased risk of atherosclerosis in European individuals. In reverse analysis, essential hypertension, AD, and asthma are negatively correlated, and stroke may decrease the risk of AD. However, after a Bonferroni correction, our evidence did not suggest a significant causal between them, which means that the evidence is weak. Whether AD exerts effects on CVD needs further investigation.
A Study on Topological Properties of Intuitionistic Fuzzy Banach Spaces
Authors: Pandit Shailendra , Ahmad Ayaz , Esi Ayhan 
Published: January 2023

Abstract
The article discusses a category theorem, an open mapping theorem, and aclosed graph theorem, as well as certain topological properties of intuitionisticfuzzy Banach spaces (IFBS). Furthermore, the closeness property of the sum oftwo linear operators in intuitionistic fuzzy normed spaces has been examined.
2020 MSC: 46S40, 46A40
Differences of composition operators from Zygmund-type spaces to Bloch-type spaces
Authors: Liu JinHao , Liang YuXia , Zhou Hang 
Published: January 2023

Abstract
Several equivalent conditions for the boundedness and compactness of the difference Cφ− Cψ : Ƶα → Bβ were presented in this paper for α > 1, β > 0. As a nontrivial extension, we creatively use Taylor series and Raabe discriminant to establish the complete characterizations for bounded or compact Cφ − Cψ : Ƶα,0 → Bβ0 , which is rarely reported in the literature.
2010 Mathematics Subject Classification. 47B33, 30H40, 30H30.
Alicyclobacillus chiapanensis PA2T, a novel species with specific adaptation in a bacterial cell wall isolated from an active volcano
Authors: Cortes Lourdes Yaret Ortiz , Carvajal Elva Teresa Arechiga , Canseco Cristina Ventura , Valera Francisco Eduardo Rodriguez , Yeves Pedro Cabello , Valdiviezo Victor Manuel Ruiz , Miceli Federico Antonio Gutierrez , Gutierrez Peggy Elizabeth Alvarez 
Published: January 2023

Abstract
Aliclyclobacillus is an interesting genus that has been isolated worldwide from extreme environments, such as acid soils, hot springs, volcanoes and acidic drinks. The species of this genera has phenotypic particularities such as the phospholipid in their membranes and the composition of its cell wall. Besides, the phenotypic diversity of the Alicyclobacillus species it has been reported just 30 genomes. We analyzed the genome of a polyextremophilic bacterium isolated from a crater lake in an active volcano. The identity of the strain PA2T was analyzed with standard molecular markers gyrB, ileS, lepA and 16S rRNA genes and confirmed by the average nucleotide identity ANIm (97.17%,), ANIb (96.65%,), TETRA (Z-score) (0.98) and DDH (75.5%.). These phylogenetic analyses indicated that PA2T is a new species, which we have named Alicyclobacillus chiapanensis PA2T. The genome A. chiapanensis PA2T structure consists of a circular 2.956.928 bp molecule, with an overall G + C of 62.77%. The entire genome has 3,256 genes, a total of 2,952 genes has a putative function, and 144 were considered unique. A comparative genomic analysis of the COG systems of A. chiapanensis PA2T showed "extra" genes that correspond to dormancy and sporulation (3), transport across the membrane (5), and the cell wall and capsule (6). This isolate shows changes in structure and chemical composition in the bacterial cell wall. The “extra” genes may be associated with the adaptations to polyextremophilic conditions. Particularly, we identify cell wall-associated specific genes, which participate in the D-rhamnose metabolism and can form an outer layer to protect the cell in inhospitable conditions.
The effect of high polycyclic aromatic hydrocarbon exposure on biological aging indicators
Authors: Campisi Manuela , Mastrangelo Giuseppe , Mielżyńska-Švach Danuta , Hoxha Mirjam , Bollati Valentina , Baccarelli Andrea A. , Carta Angela , Porru Stefano , Pavanello Sofia 
Published: January 2023

Abstract
Background
Aging represents a serious health and socioeconomic concern for our society. However, not all people age in the same way and air pollution has been shown to largely impact this process. We explored whether polycyclic aromatic hydrocarbons (PAHs), excellent fossil and wood burning tracers, accelerate biological aging detected by lymphocytes DNA methylation age (DNAmAge) and telomere length (TL), early nuclear DNA (nDNA) hallmarks of non-mitotic and mitotic cellular aging, and mitochondrial DNA copy number (mtDNAcn).
Methods
The study population consisted of 49 male noncurrent-smoking coke-oven workers and 44 matched controls. Occupational and environmental sources of PAH exposures were evaluated by structured questionnaire and internal dose (urinary 1-pyrenol). We estimated Occup_PAHs, the product of 1-pyrenol and years of employment as coke workers, and Environ_PAHs, from multiple items (diet, indoor and outdoor). Biological aging was determined by DNAmAge, via pyrosequencing, and by TL and mtDNAcn, via quantitative polymerase chain reaction. Genomic instability markers in lymphocytes as target dose [anti-benzo[a]pyrene diolepoxide (anti-BPDE)–DNA adduct], genetic instability (micronuclei), gene-specific (p53, IL6 and HIC1) and global (Alu and LINE-1 repeats) DNA methylation, and genetic polymorphisms (GSTM1) were also evaluated in the latent variable nDNA_changes. Structural equation modelling (SEM) analysis evaluated these multifaceted relationships.
Results
In univariate analysis, biological aging was higher in coke-oven workers than controls as detected by higher percentage of subjects with biological age older than chronological age (AgeAcc ≥ 0, p = 0.007) and TL (p = 0.038). mtDNAcn was instead similar. Genomic instability, i.e., genotoxic and epigenetic alterations (LINE-1, p53 and Alu) and latent variable nDNA_changes, was higher in workers (p < 0.001). In SEM analysis, DNAmAge and TL were positively correlated with Occup_PAHs (p < 0.0001). Instead, mtDNAcn is positively correlated with the latent variable nDNA_changes (p < 0.0001) which is in turn triggered by Occup_PAHs and Environ_PAHs.
Conclusions
Occupational PAHs exposure influences DNAmAge and TL, suggesting that PAHs target both non-mitotic and mitotic mechanisms and made coke-oven workers biologically older. Also, differences in mtDNAcn, which is modified through nDNA alterations, triggered by environmental and occupational PAH exposure, suggested a nuclear-mitochondrial core-axis of aging. By decreasing this risky gerontogenic exposure, biological aging and the consequent age-related diseases could be prevented.
Removal of 2,4,6-Trinitrotoluene by Extended Aeration Activated Sludge: Optimizing by Artificial Neural Network
Authors: Karimi Hosein , Mohammadi Farzaneh , Ghader Ghanizadeh , Mahvi Amir Hossein , Rajabi Saeed 
Published: January 2023

Abstract
The 2,4,6-trinitrotoluene (TNT), a nitrogenous pollutant, that is released into the environment by the munitions and military industries, and TNT-contaminated wastewater can lead to serious health problems. The present study employed the artificial neural network modeling for optimizing the TNT removal by the extended aeration activated sludge (EAAS). Chemical oxygen demand (COD) concentration of 500 mg/L, hydraulic retention time (HRT) of 4 and 6 hours, and TNT concentration of 1 to 30 mg/L were employed to obtain the optimal removal efficiency in this research. The kinetic coefficients were calculated to describe the kinetics of TNT removal by EAAS system.The data obtained from TNT removal were optimized by artificial neural network based on the adaptive neuro fuzzy inference system (ANFIS) method and genetic algorithms (GA). The removal efficiency of TNT by EAAS system was reached 84.25% under optimized conditions (10 mg/L TNT concentration and 6 hours). Our findings revealed that the optimization of EAAS system based on the ANFIS could improve TNT removal efficiency. Moreover, in comparison with the previous studies, it can be concluded that the optimized EAAS system has the capacity to remove higher concentration of TNT from wastewaters.
Hemodynamic effects of noradrenaline in neonatal septic shock: a prospective cohort study
Authors: Kallimath Aditya , Garegrat Reema , Patnaik Suprabha , Singh Yogen , Soni Narharmal B , Suryawanshi Pradeep 
Published: January 2023

Abstract
BACKGROUND
Neonatal sepsis is the third most common cause of neonatal mortality. The incidence of neonatal septic shock in low-income countries is 26.8% with a mortality rate of 35.4%. The hemodynamic effects of noradrenaline on the pediatric population have been well documented, but studies in neonates are sparse. This research was carried out to evaluate the effects of noradrenaline on the clinical and hemodynamic parameters in neonates with septic shock.
METHODS
This was a single-center prospective cohort study in a level III Neonatal intensive care unit of a tertiary care hospital. Neonates with sepsis defined by Tollners criteria and with evidence of shock and those who received noradrenaline as a first-line vasoactive agent for treatment were included. At baseline, demographic and clinical data and hemodynamic parameters were recorded and entered in a pre-designed case record form. The primary outcome measured was the response at the end of one hour of infusion of noradrenaline and the mortality rate.
RESULTS
A total of 21 babies received noradrenaline infusion for neonatal septic shock. The cohort comprised 17 preterm neonates (mean GA of 36.1 Weeks) with a median birth weight of 1.957. Resolution of shock at one hour of starting noradrenaline was achieved in 76.2% of cases. The median NICU stay was 5.5 days, and the median duration of hospital stay was 14 days. The mean blood pressure improved significantly after the initiation of noradrenaline infusion from a baseline of 30.6 mm of Hg (SD-6.1) to 37.8 mm of Hg (SD- 8.22, p < 0.001) at 1 hour after initiation of noradrenaline. Fractional shortening improved significantly after noradrenaline initiation from 29% (SD-13.5) at baseline to 45.1% (SD-21.1, p < 0.001) after 1 hour of noradrenaline. There was a mortality rate of 28.6% in our study.
CONCLUSION
Noradrenaline is a relatively safe and effective drug to use in the treatment of neonatal septic shock. Noradrenaline is effective in increasing blood pressure and improves left ventricular systolic function. Further studies with a larger sample size are needed to confirm our findings before it can be recommended as a first-line therapy in infants with neonatal shock.