bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation on the electrical conductivity and tribological properties of NbSe2-doped lubricating grease
Authors: Wu Lining , Yan Jie , Cao Zhengfeng , Xia Yanqiu , Wu Hao 
Published: August 2022

Abstract
Developing lubricants with good electrical conductivity and good tribological properties is necessary for the power equipment. Here, niobium selenide (NbSe2) and boron nitride (BN) were employed to act as additives to fabricate the lubricating greases with superior electrical conductivity and tribological properties. The lubricating grease containing different concentrations of additives were synthesized and their conductivities were measured by a volume resistance meter at the room temperature of about 25 °C. The tribological properties of the lubricating greases were also investigated and the worn surfaces were characterized in detail by scanning electron microscopy (SEM), x-ray photoelectron spectroscopy (XPS) and Raman spectroscopy to analyze the lubrication mechanism after friction test. The results showed that NbSe2 could effectively reduce the volume resistivity by ten times as compared with the base grease. Tribological tests showed that when the concentration of NbSe2 was 2 wt%, it could reduce the COF and wear scar width by 23.5% and 12.8% under 150 N and 5 Hz, indicating 2 wt% NbSe2 doped lubricating grease exhibited the outstanding tribological properties. In addition, based on the analysis of the wear surfaces, the superior tribological properties of NbSe2 grease were attributed to the effective lubricating film generated on the friction surface, which played a key role in reducing friction and anti-wear.
Functional tumor diameter measurement with molecular breast imaging: development and clinical application
Authors: Lopez Benjamin P , Rauch Gaiane M , Adrada Beatriz , Kappadath S Cheenu 
Published: August 2022

Abstract

Purpose: Molecular breast imaging (MBI) is used clinically to visualize the uptake of 99mTc-sestamibi in breast cancers. Here, we use Monte Carlo simulations to develop a methodology to estimate tumor diameter in focal lesions and explore a semi-automatic implementation for clinical data. Methods: A validated Monte Carlo simulation of the GE Discovery NM 750b was used to simulate >75,000 unique spherical/ellipsoidal tumor, normal breast, and image acquisition conditions. Subsets of this data were used to 1) characterize the dependence of the full-width at half-maximum (FWHM) of a tumor profile on tumor, normal breast, and acquisition conditions, 2) develop a methodology to estimate tumor diameters, and 3) quantify the diameter accuracy in a broad range of clinical conditions. Finally, the methodology was implemented in patient images and compared to diameter estimates from physician contours on MBI, mammography, and ultrasound imaging. Results: Tumor profile FWHM was determined be linearly dependent on tumor diameter but independent of other factors such as tumor shape, uptake, and distance from the detector. A linear regression was used to calculate tumor diameter from the FWHM estimated from a background-corrected profile across a tumor extracted from a median-filtered single-detector MBI image, i.e., diameter = 1.2 mm + 1.2 × FWHM, for FWHM ≥ 13 mm. Across a variety of simulated clinical conditions, the mean error of the methodology was 0.2 mm (accuracy), with >50% of cases estimated within 1-pixel width of the truth (precision). In patient images, the semi-automatic methodology provided the longest diameter in 94% (60/64) of cases. The estimated true diameters, for oval lesions with homogeneous uptake, differed by ± 5 mm from physician measurements. Conclusion: This work demonstrates the feasibility of accurately quantifying tumor diameter in clinical MBI, and to our knowledge, is the first to explore its implementation and application in patient data.
Stability of exponentially damped oscillations under perturbations of the Mori-Chain
Authors: Heveling Robin , Wang Jiaozi , Bartsch Christian , Gemmer Jochen 
Published: August 2022

Abstract
There is an abundance of evidence that some relaxation dynamics, e.g., exponential decays, are much more common in nature than others. Recently, there have been attempts to trace this dominance back to a certain stability of the prevalent dynamics versus generic Hamiltonian perturbations. In the paper at hand, we tackle this stability issue from yet another angle, namely in the framework of the recursion method. We investigate the behavior of various relaxation dynamics with respect to alterations of the so-called Lanczos coefficients. All considered scenarios are set up in order to comply with the ‘universal operator growth hypothesis’. Our numerical experiments suggest the existence of stability in a larger class of relaxation dynamics consisting of exponentially damped oscillations. Further, we propose a criterion to identify ‘pathological’ perturbations that lead to uncommon dynamics.
Free-form surface inspection path planning using improved ant colony optimisation algorithm
Authors: Chen Yueping , Tan Bo 
Published: August 2022

Abstract
To improve the inspection efficiency of free-form surfaces using coordinate measuring machines (CMMs), this paper proposes a free-form CMM inspection path optimization method based on an improved ant colony optimisation algorithm. The inspection path composition and its mathematical model are first analysed, and then the improved ant colony optimisation algorithm is applied to minimize the objective function. To address the problem that the ant colony optimisation algorithm has difficulty jumping out of local optimal solutions, this paper introduces a negative feedback mechanism in the pheromone update rule to improve the probability of the ant colony optimisation algorithm jumping out of the local optimal solution, so as to obtain the global optimal solution with a higher probability. Experiments showed that the inspection path length optimised by the improved ant colony optimisation algorithm was at least 5.2% and 8.6% shorter than those of the traditional ant colony optimisation and simulated annealing algorithms, respectively.
Flow direction algorithm-based machine learning approaches for the prediction of high-performance concrete strength property
Authors: He Deng , Zong-Wei He , Jie Xu 
Published: August 2022

Abstract
The main significance of utilizing high-performance concrete as an effective item in the construction industry is the compressive strength assessment which requires a vast investigation of the design mix with calculated relevant compressive strength. Through the intelligence approaches, planning an accurate relationship between high-performance concrete different mix designs and their compressive strength is obtainable with the lowest cost of time and finance. Two models based on support vector regression methods are developed in this regard. The optimal output is calculated by tuning support vector regression key constraints by flow direction and biography-based optimization algorithm. The data set collected from the literature is divided into the training, and the testing phase, where the training data is used to develop the models, and the testing data is utilized to validate the accuracy of the models. The results showed a higher accuracy of the FDA_SVR method than the BBO_SVR method, with R2 values of 0.9939 and 0.9755, respectively. moreover, the

U

95

confidence level obtained about 4.0273 and 7.367 for the FDA-SVR and BBO-SVR, respectively, demonstrating the accurate prediction capacity of the FDA-SVR model for high-performance concrete compressive strength.
Investigation of variation in temperature on steep subthreshold slope nanowire tunnel field effect transistor based biosensor
Authors: Sachdeva Rohit , Bhushan Aditya , Bajaj Aayush , Gupta Maneesha , Kumar Prateek , Raman Ashish , Ranjan Ravi , Kumar Naveen 
Published: August 2022

Abstract
Biosensors are critical part of today’s lifestyle. They have vast applications in medical industries making continuous advancement in the domain crucial. To further extend their utilities in this manuscript effect of variation in temperature on charge plasma based tunnel field effect transistor as biosensor is investigated. To investigate, device is simulated at 200 K, 300 K and 400 K and various device, analog and linearity characteristics are examined. To create the cavity for accommodation of biomolecules, source electrode is extended. Analyzed device resulted in steepest subthreshold slope of 17.61mV dec−1 and 8.81mV dec−1 for κ = 3 at T = 200 K. Device also has high ION sensitivity for entire temperature range. Due to promising characteristics, investigated biosensor can be used in future for detection of different biomolecules.
Population co-exposure to extreme heat and wildfire smoke pollution in California during 2020
Authors: Rosenthal Noam , Benmarhnia Tarik , Ahmadov Ravan , James Eric , Marlier Miriam E 
Published: August 2022

Abstract
Excessive warming from climate change has increased the total wildfire burned area over the past several decades in California. This has increased population exposure to both hazardous concentrations of air pollutants from fires such as fine particulate matter (smoke PM2.5) and extreme heat events. Exposure to PM2.5 and extreme heat are individually associated with negative health impacts and recent epidemiological evidence points to synergistic effects from concurrent exposures. This study characterizes the frequency and spatial distribution of co-occurring extreme heat and smoke PM2.5 events in California during the record-setting wildfire season of 2020. We measure exceedances over extreme thresholds of modeled surface-level smoke PM2.5 concentrations and heat index based on observed temperature and humidity. We estimate that, during the studied period, extreme smoke and heat co-occurred at least once within 68% of the state’s area (∼288 000 km2) and an average 2.5 times across all affected areas. Additionally, 16.5 million people, mostly in lower population density areas, were impacted at least once in 2020 by such synergistic events. Our findings suggest that public health guidance and adaptation policies should account for co-exposures, not only distinct exposures, when confronting heat and smoke PM2.5.
Identifying cellular cancer mechanisms through pathway-driven data integration
Authors: Windels Sam F L , Malod-Dognin Noël , Pržulj Nataša 
Published: August 2022

AbstractMotivationCancer is a genetic disease in which accumulated mutations of driver genes induce a functional reorganization of the cell by reprogramming cellular pathways. Current approaches identify cancer pathways as those most internally perturbed by gene expression changes. However, driver genes characteristically perform hub roles between pathways. Therefore, we hypothesize that cancer pathways should be identified by changes in their pathway–pathway relationships.ResultsTo learn an embedding space that captures the relationships between pathways in a healthy cell, we propose pathway-driven non-negative matrix tri-factorization. In this space, we determine condition-specific (i.e. diseased and healthy) embeddings of pathways and genes. Based on these embeddings, we define our ‘NMTF centrality’ to measure a pathway’s or gene’s functional importance, and our ‘moving distance’, to measure the change in its functional relationships. We combine both measures to predict 15 genes and pathways involved in four major cancers, predicting 60 gene–cancer associations in total, covering 28 unique genes. To further exploit driver genes’ tendency to perform hub roles, we model our network data using graphlet adjacency, which considers nodes adjacent if their interaction patterns form specific shapes (e.g. paths or triangles). We find that the predicted genes rewire pathway–pathway interactions in the immune system and provide literary evidence that many are druggable (15/28) and implicated in the associated cancers (47/60). We predict six druggable cancer-specific drug targets.Availability and implementationThe code and data are available at: https://gitlab.bsc.es/swindels/pathway_driven_nmtfSupplementary informationSupplementary data are available at Bioinformatics online.
Quasi-Entropy Closure: a fast and reliable approach to close the moment equations of the Chemical Master Equation
Authors: Wagner Vincent , Castellaz Benjamin , Oesting Marco , Radde Nicole 
Published: August 2022

AbstractMotivationThe Chemical Master Equation is a stochastic approach to describe the evolution of a (bio)chemical reaction system. Its solution is a time-dependent probability distribution on all possible configurations of the system. As this number is typically large, the Master Equation is often practically unsolvable. The Method of Moments reduces the system to the evolution of a few moments, which are described by ordinary differential equations. Those equations are not closed, since lower order moments generally depend on higher order moments. Various closure schemes have been suggested to solve this problem. Two major problems with these approaches are first that they are open loop systems, which can diverge from the true solution, and second, some of them are computationally expensive.ResultsHere we introduce Quasi-Entropy Closure, a moment-closure scheme for the Method of Moments. It estimates higher order moments by reconstructing the distribution that minimizes the distance to a uniform distribution subject to lower order moment constraints. Quasi-Entropy Closure can be regarded as an advancement of Zero-Information Closure, which similarly maximizes the information entropy. Results show that both approaches outperform truncation schemes. Quasi-Entropy Closure is computationally much faster than Zero-Information Closure, although both methods consider solutions on the space of configurations and hence do not completely overcome the curse of dimensionality. In addition, our scheme includes a plausibility check for the existence of a distribution satisfying a given set of moments on the feasible set of configurations. All results are evaluated on different benchmark problems.Supplementary informationSupplementary data are available at Bioinformatics online.
PanExplorer: a web-based tool for exploratory analysis and visualization of bacterial pan-genomes
Authors: Dereeper Alexis , Summo Marilyne , Meyer Damien F 
Published: August 2022

AbstractMotivationAs pan-genome approaches are largely employed for bacterial comparative genomics and evolution analyses, but still difficult to be carried out by non-bioinformatician biologists, there is a need for an innovative tool facilitating the exploration of bacterial pan-genomes.ResultsPanExplorer is a web application providing various genomic analyses and reports, giving intuitive views that enable a better understanding of bacterial pan-genomes. As an example, we produced the pan-genome for 121 Anaplasmataceae strains (including 30 Ehrlichia, 15 Anaplasma, 68 Wolbachia).Availability and implementationPanExplorer is written in Perl CGI and relies on several JavaScript libraries for visualization (hotmap.js, MauveViewer, CircosJS). It is freely available at http://panexplorer.southgreen.fr. The source code has been released in a GitHub repository https://github.com/SouthGreenPlatform/PanExplorer. A documentation section is available on PanExplorer website.
Prosecution Deferred, Prosecution Exempt: On the Interests of (In)Justice in the Non-Trial Resolution of Transnational Corporate Bribery
Authors: Lord Nicholas 
Published: August 2022

AbstractNation-states face regulatory and enforcement dilemmas when dealing with corporations operating in international commerce that are implicated in the bribery of foreign public officials. As part of the regulatory landscape, non-trial resolutions, and Deferred Prosecution Agreements (DPAs) specifically, have emerged as a prominent method for gaining leverage against major implicated corporations. This article analyses how judges in England and Wales discursively rationalize the approval of DPAs, arguing that three interdiscursive mechanisms (deviance elastication; corporate dissociation; and, anticipatory offsetting) serve to underpin and communicate constructions of DPAs as in the interests of justice. Relatedly, the conditions of use of DPAs have generated a socially problematic enforcement infrastructure, whereby corporates are being exempt, not just deferred, from criminal prosecution.
Development of prognostic models for survival and care status in sporadic Creutzfeldt-Jakob disease
Authors: Nihat Akın , Ranson Janice M , Harris Dominique , McNiven Kirsty , Mok TzeHow , Rudge Peter , Collinge John , Llewellyn David J , Mead Simon 
Published: August 2022

Abstract
Sporadic Creutzfeldt-Jakob disease, the most common human prion disease, typically presents as a rapidly progressive dementia and has a highly variable prognosis. Despite this heterogeneity, clinicians need to give timely advice on likely prognosis and care needs. No prognostic models have been developed that predict survival or time to increased care status from the point of diagnosis. We aimed to develop clinically useful prognostic models with data from a large prospective observational cohort study. Five hundred and thirty-seven patients were visited by mobile teams of doctors and nurses from the National Health Service National Prion Clinic within 5 days of notification of a suspected diagnosis of sporadic Creutzfeldt-Jakob disease, enrolled to the study between October 2008 and March 2020, and followed up until November 2020. Prediction of survival over 10-, 30- and 100-day periods was the main outcome. Escalation of care status over the same time periods was a secondary outcome for a subsample of 113 patients with low care status at initial assessment. Two hundred and eighty (52.1%) patients were female and the median age was 67.2 (interquartile range 10.5) years. Median survival from initial assessment was 24 days (range 0–1633); 414 patients died within 100 days (77%). Ten variables were included in the final prediction models: sex; days since symptom onset; baseline care status; PRNP codon 129 genotype; Medical Research Council Prion Disease Rating Scale, Motor and Cognitive Examination Scales; count of MRI abnormalities; Mini-Mental State Examination score and categorical disease phenotype. The strongest predictor was PRNP codon 129 genotype (odds ratio 6.65 for methionine homozygous compared with methionine-valine heterozygous; 95% confidence interval 3.02–14.68 for 30-day mortality). Of 113 patients with lower care status at initial assessment, 88 (78%) had escalated care status within 100 days, with a median of 35 days. Area under the curve for models predicting outcomes within 10, 30 and 100 days was 0.94, 0.92 and 0.91 for survival, and 0.87, 0.87 and 0.95 for care status escalation, respectively. Models without PRNP codon 129 genotype, which is not immediately available at initial assessment, were also highly accurate. We have developed a model that can accurately predict survival and care status escalation in sporadic Creutzfeldt-Jakob disease patients using clinical, imaging and genetic data routinely available in a specialist national referral service. The utility and generalizability of these models to other settings could be prospectively evaluated when recruiting to clinical trials and providing clinical care.
miR-3154 promotes hepatocellular carcinoma progression via suppressing HNF4α
Authors: Wei Yuan , Wei Lai , Han Tao , Ding Shuang 
Published: August 2022

Abstract
MicroRNAs (miRNAs) play an important role in cancer proliferation, metastasis, drug resistance and apoptosis by targeting oncogenes or tumor suppressor genes. miR-3154 has been reported to be up-regulated in cervical cancer and leukemia, but its role in hepatocellular carcinoma (HCC) remains unclear. Here, we for the first time demonstrated that miR-3154 was elevated in HCC and liver cancer stem cells (CSCs). Up-regulated miR-3154 was associated with overall survival and disease-free survival of HCC patients. MiR-3154 knockdown inhibits HCC cells self-renewal, proliferation, metastasis, and tumorigenesis. Mechanistically, miR-3154 target directly to HNF4α. MiR-3154 knockdown upregulated HNF4α mRNA and protein expression. HNF4α interference abolish the differences of self-renewal, proliferation, metastasis, and tumorigenesis between miR-3154 knockdown cells and control hepatoma cells. Furthermore, miR-3154 expression was negatively correlated with HNF4α in HCC tissues. The combined HHC panels exhibited a better disease-free survival prognostic value for HCC patients than any of these components alone. More importantly, miR-3154 determines the responses of hepatoma cells to lenvatinib treatment. Analysis of patient cohort and patient-derived xenografts (PDXs) further suggest that miR-3154 might predict lenvatinib clinical benefit in HCC patients. In conclusion, we reveal the crucial role of miR-3514 in HCC progression and lenvatinib response, suggesting potential therapeutic targets for HCC.
Is there sex disparity in vascular access at dialysis initiation in France? A mediation analysis using data from the Renal Epidemiology and Information Network registry
Authors: Beaumier Mathilde , Ficheux Maxence , Couchoud Cécile , Lassalle Mathilde , Launay Ludivine , Courivaud Cécile , Tiple Aurélien , Lobbedez Thierry , Chatelet Valérie 
Published: August 2022

ABSTRACT

Background
This study was conducted to estimate the direct effect of sex on the proportion of hemodialysis (HD) catheters used at dialysis initiation and to investigate whether predialysis care or socioeconomic status acted as a mediator of the sex effect.

Methods
Patients who started dialysis between January 1, 2017, and June 30, 2018, in France were included using the data of the Renal Epidemiology and Information Network (REIN) registry. We performed logistic regression to study the association between sex and the proportion of HD catheters used. A mediation analysis with a counterfactual approach was carried out to evaluate whether there was an indirect effect of sex through the proxies of predialysis care {hemoglobin, albumin levels, glomerular filtration rate [GFR] at dialysis initiation} and socioeconomic status. Because an interaction between sex and social deprivation has been identified, we performed a subgroup analysis on deprived and nondeprived patients.

Results
The study included 16 032 patients, and the sex ratio (male to female) was 10 405:5627. In the multivariable analysis, women were associated with a greater risk of starting dialysis with a catheter {odds ratio [OR], 1.32 [95% confidence interval (CI): 1.23–1.42]}. There was an indirect effect of sex on the proportion of HD catheters through proxies for predialysis care {albuminemia &lt;30 g/L [OR, 1.08 (95% CI: 1.05–1.10)], hemoglobin &lt;11 g/dL [OR, 1.03 (95% CI: 1.02–1.04)], glomerular filtration rate &lt;7 mL/min [OR, 1.05 (95% CI: 1.04–1.07)]}. Among deprived patients, there was no direct effect of sex on catheter proportion.

Conclusions
Women were associated with a higher risk of starting dialysis through an HD catheter. The effect of sex was mediated by predialysis care, particularly for deprived patients.